BCO-DMO ERDDAP
Accessing BCO-DMO data 		log in    
Brought to you by BCO-DMO    
 
 
griddap Subset tabledap Make A Graph wms files Accessible Title Summary FGDC ISO 19115 Info Background Info RSS Email Institution Dataset ID
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_986266_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_986266_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_986266_v1/ public [10m Virgin Island Reef Water Quality Metrics] - Water quality metrics collected from 10 meter reefs from around the U.S. Virgin Islands during April 2022 (Multi-scale multi-host disease spread project) (A multi-scale approach to predicting infectious multi-host disease spread in marine benthic communities) These data include water quality metrics collected at 10-meter reef sites in the U.S. Virgin Islands (USVI) during April 2022. Two reefs were located near St. John (Haulover Bay and Coral Bay) and two near St. Croix (Cane Bay and Buck Island). Physical parameters were measured using an EXO Sonde, while water samples collected approximately 2 meters above the reefs were analyzed for inorganic nutrient concentrations, microbial cell abundances, total organic carbon (TOC), and total nitrogen (TN). Characterizing the physical and chemical properties of reef waters provides important context for understanding microbial community dynamics and their potential role in coral reef health and disease processes.\n\ncdm_data_type = Other\nVARIABLES:\nMission (unitless)\nSite (unitless)\nlatitude (Latitiude, degrees_north)\nlongitude (degrees_east)\ntime (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\nDate (unitless)\ndepth (Sampling_depth, m)\nTime_of_sonde (unitless)\nTemp (degrees Celcius)\nmmHg (millimeters of mercury (mmHg))\nDO_Percent (unitless)\nDO_Concentration (miligrams per liter (mg/L))\nSPC (microSiemens per centimeter (uS/cm))\nC (microSiemens per centimeter (uS/cm))\nSAL (parts per thousand (ppt))\npH (unitless)\nNTU (Nephelometric Turbidity Units (NTU))\nTSS (miligrams per liter (mg/L))\nDEP (meters (m))\nLab_ID_for_inorganic_nutrients (unitless)\n... (14 more variables)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_986266_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_986266_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_986266_v1/index.htmlTable https://osprey.bco-dmo.org/dataset/986266 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_986266_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_986266_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_986266_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_953999_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_953999_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_953999_v1/ public [16S microbiome data for artificial reef sponges and seawater] - 16S microbiome metadata collected from shallow artificial reef sponges and seawater in the Florida Keys, USA from Apr 2021 to Aug 2021 (Collaborative Research: Investigations into microbially mediated ecological diversification in sponges) Sponges are a dominant component of coral reefs worldwide and in the Caribbean, where their biomass exceeds that of reef-building corals. For almost a quarter century, the success of sponges in the Caribbean has been linked to their filter-feeding ability. However, recent work demonstrated that coexisting sponges on Caribbean reefs host unique communities of bacteria that might allow sponges to access multiple pools of nutrients that are not available to other organisms. In this project, the investigators will test the hypothesis that ecologically dominant sponge species in the Caribbean have unique metabolic strategies that are mediated by their associations with microbes that live within the sponge body.\n\nIn this dataset, we present the 16S rRNA microbiome NCBI accession and sample collection metadata for an artificial reef experiment where sponges of 10 species were placed on this temporary reef from April to August of 2021 and sampled using VacuSIP. VacuSIP methods capture incurrent (In) and excurrent (Ex) water from each sponge specimen. Incurrent represents the bacteria that are available for the sponge to consume via filter feeding and excurrent represents the bacteria that remain once sponges have consumed their preferred taxa. Additionally, we have provided microbiome metadata for the host sponges for several of these paired In/Ex samples. See the related dataset, NCBI Bioproject PRJNA1179970, for all sequence data. Microbiome data was generated using protocols from the Earth Microbiome project and sequencing was conducted on an Illumina MiSeq at Middle Tennessee State University. The data available at NCBI represents raw sequencing data, and no quality checks or sequencing filtering has been done on the uploaded sequences.\n\ncdm_data_type = Other\nVARIABLES:\ncollection_date (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\naccession (unitless)\nsample_name (unitless)\nspecies_ab (unitless)\nsample_type (unitless)\norganism (unitless)\n... (6 more variables)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_953999_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_953999_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_953999_v1/index.htmlTable https://www.bco-dmo.org/dataset/953999 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_953999_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_953999_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_953999_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_964227_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_964227_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_964227_v1/ public [16S rRNA amplicon sequence metadata from water samples and biofilms] - 16S rRNA gene amplicon sequences metadata collected from water samples and biofilms on mineral substrates deployed in the Lau Basin (Tonga) during  R/V Thompson cruise TN401 from Mar to Apr 2022 (RUI: Collaborative Research: The impact of symbiont-larval interactions on species distributions across southwestern Pacific hydrothermal vents) 16S rRNA gene amplicon sequences were generated from biofilms present on crushed substrates deployed at Lau Basin hydrothermal vents for approximately two weeks during R/V Thompson cruise TN401 from March to April 2022, typically in diffuse fluid flow. 16S rRNA gene amplicon sequences were generated from seawater or hydrothermal fluid samples collected on to filters via ROV deployed instruments. This dataset contains NCBI accession metadata and sample collection information.\n\ncdm_data_type = Other\nVARIABLES:\nSample_ID (unitless)\nBioproject_accession (unitless)\nBiosample_accession (unitless)\nCollection_date (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\ndepth (m)\nSample_type (unitless)\nColonizer_No (unitless)\nSRA_Study (unitless)\nSRA_accession (unitless)\nSequencing_technologies (unitless)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_964227_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_964227_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_964227_v1/index.htmlTable https://osprey.bco-dmo.org/dataset/964227 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_964227_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_964227_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_964227_v1
log in [16S rRNA sequences for outplanted Acropora cervicornis sexual recruits] - 16S rRNA sequences for outplanted Acropora cervicornis sexual recruits collected from Mote Marine Laboratory and Looe Key National Marine Sanctuary from 2020-2022 (Collaborative Research: Tracking the interacting roles of the environment, host genotype, and a novel Rickettsiales in coral disease susceptibility) A pervasive association exists between the bacterium Aquarickettsia rohweri and Caribbean Acropora, as A. rohweri dominates microbiomes of field-collected samples of this coral species. In particular, this bacterial species is highly abundant in genotypes of Acropora cervicornis susceptible to white band disease with reduced abundance in disease-resistant genotypes. A. rohweri, a member of the order Rickettsiales, is hypothesized to be an obligate symbiont dependent on the coral holobiont for nutrition and energy. Many other closely-related parasites within Rickettsiales are transmitted vertically, and A. rohweri is unlikely to persist in a free-living stage due to its limited metabolic capabilities. This bacterial parasite was therefore expected to be transmitted vertically between host generations. However, phylogenomic analyses of Acropora spp. and A. rohweri did not reveal the co-evolutionary characteristics expected of a vertically transmitted symbiont. These characteristics could be obscured, however, by horizontal transmission between hosts. The identification of A. rohweri in evolutionarily distant aquatic hosts ranging from ctenophores to sponges also strongly supports horizontal transmission of this species. \n\nTo better understand the transmission dynamics of Aquarickettsia, populations of this bacteria were quantified in early life stages of A. cervicornis (gametes, planula larvae, early sexual recruits, and year-old juveniles) produced and raised in the land-based nursery at Mote Marine Laboratory in the Florida Keys. These corals were produced via controlled two-parent crosses involving six different genotypes across three annual spawning events. We found that Aquarickettsia was absent from captive-raised individuals though present in parental genotypes maintained in Mote Marine Laboratory's in situ coral nursery. In March 2021, offspring were transferred to the same in situ nursery or outplanted to reef plots either near to or far from (> 50 m) adult A. cervicornis to determine if proximity to other colonies affected parasite acquisition. Corals were sampled one week, one month, and two months post-transplantation to assess timing of Aquarickettsia infection and to examine shifts in the coral microbiome overall due to transplantation. We determined that proximity to wild or outplanted A. cervicornis influenced Aquarickettsia acquisition in outplanted conspecifics that lacked Aquarickettsia prior to outplanting. Only corals that were in close proximity to adult A. cervicornis acquired Aquarickettsia, and acquisition took between 1 and 6 months. Importantly, corals outplanted far from previously-extant outplants did not acquire Aquarickettsia by a full year after transplantation to the reef. This suggests that horizontal transmission is important in the acquisition of this putative parasite, and the parasite is likely transmitted by other A. cervicornis or reef organisms primarily associated with outplanted A. cervicornis (e.g. corallivorous snails, ciliates, bearded fireworms). We also observed that not all conspecifics from the same families acquired the parasite, even within the same site. This suggests that Aquarickettsia acquisition may require prolonged contact with a vector, or that there is an element of chance in exposure to and subsequent infection with Aquarickettsia.\n\ncdm_data_type = Other\nVARIABLES:\nSampleName (unitless)\n... (50 more variables)\n BCO-DMO bcodmo_dataset_924594_v1
log in [18S rRNA Gene Amplicons from Swab and Tissue Specimens] - GenBank accessions for 18S rRNA gene amplicons from swab and tissue specimens collected in the Caribbean and Réunion (France) from May 2022 to Dec 2024 (Exploring the role of boundary layer microbial remineralization in flavivirus-host dynamics) Investigating the cause of mass mortality of Diadema antillarum (urn:lsid:marinespecies.org:taxname:124332) identified the etiological agent as the Diadema antillarum Scuticociliatosis Philaster Clade (DaScPc). We sought to investigate the prevalence of this ciliate in sympatric reservoirs in the coral reef environment by targeted PCR using primers designed around this 18S rRNA sequence. We used swab sampling of corals, macroalgae, and other surfaces, as well as urchin tissues, followed by phylogenetic analyses, to identify the presence and diversity of this ciliate. We found that DaScPc could be found primarily in association with the coral Siderastrea siderea, and that changes in its prevalence could be explained by disease state of urchins, macroalgal density, and proximity to disease sites. This dataset contains the GenBank accession, sequencing, and collection metadata for the study.\n\ncdm_data_type = Other\nVARIABLES:\nGenbank_Accession (unitless)\nSequence_ID (unitless)\nSample_Location (unitless)\nSample_Type (unitless)\nSample_Month (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\n BCO-DMO bcodmo_dataset_985574_v1
log in [2017 GO-SHIP P06 transect TDN d15N] - Total dissolved nitrogen (TDN) concentrations and δ15N measurements from samples collected on R/V Nathaniel B. Palmer GO-SHIP cruises NBP1706 and NBP1707 in the South Pacific from Jul 3 to Sep 30, 2017 (Collaborative Research: Dissolved organic phosphorus controls on marine nitrogen fixation and export production) This dataset includes total dissolved nitrogen (TDN) concentrations and their d15N measurements from samples collected in the upper ~300 m along the 2017 GO-SHIP P06 transect from 3 July to 30 September 2017 on R/V Nathaniel B. Palmer GO-SHIP cruises NBP1706 and NBP1707. Samples were collected roughly every 2 degrees of longitude across the transect. Samples were measured using persulfate oxidation of the TDN in the sample to nitrate, and then using the denitrifier method to measure the d15N of the resulting nitrate. \n \nDissolved organic nitrogen (DON) is the dominant form of bioavailable nitrogen in the euphotic zone of subtropical gyres, where nitrate (NO3-) concentrations are low. However, identifying regions where DON consumption may support surface ocean productivity remains challenging due to the relatively narrow range in euphotic zone DON concentrations. These paired measurements of TDN concentrations and their d15N values will help resolve patterns of DON production and consumption across the largest subtropical ocean gyre.\n\ncdm_data_type = Other\nVARIABLES:\nEXPOCODE (unitless)\nSECT_ID (unitless)\nSTNNBR (unitless)\nCASTNO (unitless)\nNiskin_bottle_number (unitless)\nDATE (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\nCTDPRS (decibars)\nCTDSAL (practical salinity units)\nCTDTMP (degrees centigrade)\nNITRAT_plus_NITRIT (micromolar (µM))\nTDN (micromolar (µM))\nTDN_d15N (Per mil units relative to atmospheric N2 gas)\n BCO-DMO bcodmo_dataset_986627_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_936824_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_936824_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_936824_v1/ public [2019 BAIT / GApr13 Dissolved Iron Concentration and Isotopes] - Dissolved iron concentrations and stable isotope ratios from water column samples collected during four Bermuda Atlantic Iron Time-series (BAIT) cruises EN631, AE1909, AE1921, AE1930 in the Western Subtropical North Atlantic Gyre in 2019 (NSFGEO-NERC: Collaborative Research: Using Time-series Field Observations to Constrain an Ocean Iron Model) These data include dissolved iron (Fe) concentrations and stable isotope ratios (δ56Fe relative to IRMM-014) from water column samples collected during four Bermuda Atlantic Iron Time-Series (BAIT) cruises (GApr13) in the Bermuda Atlantic Time-series Study (BATS) region in March, May, August, and November 2019. Analyses were carried out at the University of South Florida.\n\ncdm_data_type = Other\nVARIABLES:\nCruise_ID (unitless)\nStation_ID (unitless)\nStart_Date_UTC (unitless)\nlatitude (Start_latitude, degrees_north)\nlongitude (Start_longitude, degrees_east)\nSample_ID (unitless)\ndepth (Sample_depth, m)\nFe_56_54_D_DELTA_BOTTLE (per mil (‰))\nSD1_Fe_56_54_D_DELTA_BOTTLE (per mil (‰))\nFlag_Fe_56_54_D_DELTA_BOTTLE (unitless)\nFe_D_CONC_BOTTLE (nanomoles per kilogram (nmol/kg))\nSD1_Fe_D_CONC_BOTTLE (nanomoles per kilogram (nmol/kg))\nFlag_Fe_D_CONC_BOTTLE (unitless)\nFe_56_54_D_DELTA_BOAT_PUMP (per mil (‰))\nSD1_Fe_56_54_D_DELTA_BOAT_PUMP (per mil (‰))\nFlag_Fe_56_54_D_DELTA_BOAT_PUMP (unitless)\nFe_D_CONC_BOAT_PUMP (nanomoles per kilogram (nmol/kg))\nSD1_Fe_D_CONC_BOAT_PUMP (nanomoles per kilogram (nmol/kg))\nFlag_Fe_D_CONC_BOAT_PUMP (unitless)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_936824_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_936824_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_936824_v1/index.htmlTable https://www.bco-dmo.org/dataset/936824 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_936824_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_936824_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_936824_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_940164_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_940164_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_940164_v1/ public [2019 BAIT Dissolved Nickel Speciation] - Total dissolved, dissolved labile, and soluble nickel concentrations determined in water column samples collected on the 2019 Bermuda Atlantic Iron Time-series (BAIT) cruises in the Western Subtropical North Atlantic Gyre (NSFGEO-NERC: Collaborative Research: Using Time-series Field Observations to Constrain an Ocean Iron Model) This dataset includes the total dissolved, dissolved labile, and soluble nickel concentration results determined in water column samples collected using a trace-metal clean CTD rosette, or an inflatable dinghy, during four cruises in the Bermuda Atlantic Time-series Study (BATS) region in March, May, August, and November 2019. The samples and associated data were collected for the Bermuda Atlantic Iron Time-series (BAIT) project (GEOTRACES Process Study GApr13). Post-cruise sample analyses were performed at the University of South Florida (labile dissolved nickel) and Old Dominion University (dissolved nickel, soluble nickel).\n\ncdm_data_type = Other\nVARIABLES:\nCRUISE (unitless)\nPROJECT_CRUISE (unitless)\nCRUISE_NAME (unitless)\nStation (unitless)\nSAMPLE_ID (unitless)\ntime (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\nDATE_GMT (unitless)\nGMT (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\nPLATFORM (unitless)\nPRESSURE (decibar (db))\ndepth (m)\nNi_D_CONC (nanomoles per liter (nM))\nNi_D_STDEV (nanomoles per liter (nM))\nNi_D_FLAG (unitless)\nNi_DL_CONC (nanomoles per liter (nM))\nNi_DL_STDEV (nanomoles per liter (nM))\nNi_DL_FLAG (unitless)\nNi_S_CONC (nanomoles per liter (nM))\nNi_S_STDEV (nanomoles per liter (nM))\nNi_S_FLAG (unitless)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_940164_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_940164_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_940164_v1/index.htmlTable https://www.bco-dmo.org/dataset/940164 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_940164_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_940164_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_940164_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_888772_v2 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_888772_v2.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_888772_v2/ public [2019 BAIT Particulate Metals] - Particulate trace element concentrations measured during four cruises in 2019 at locations around the Bermuda Atlantic Time-series Study (BATS) station (NSFGEO-NERC: Collaborative Research: Using Time-series Field Observations to Constrain an Ocean Iron Model) Particulate trace element concentrations were measured during 4 BATS cruises (March, May, August, November) in 2019 as part of the Bermuda Atlantic Iron Timeseries (BAIT) project. Three stations were sampled around the BATS station to 1800 meters (m) with a trace-metal clean rosette system. Collected water was passed through 0.45-micrometer (um) Supor membranes and subsequently subjected to both a weak acid leach and a total digest. Samples were analyzed via magnetic sector ICPMS for aluminum (Al), phosphorus (P), titanium (Ti), vanadium (V), manganese (Mn), iron (Fe), cobalt (Co), nickel (Ni), copper (Cu), zinc (Zn), cadmium (Cd), barium (Ba), lead (Pb), and thorium (Th). Data have been used to partition particulate Fe into lithogenic, biogenic, and authigenic fractions, and to understand controls on Fe cycling in the upper ocean over a seasonal cycle.\n\ncdm_data_type = Other\nVARIABLES:\nCRUISE (unitless)\nSTATION (unitless)\nUNIQUE_CAST_ID (unitless)\nSAMPLE_ID (unitless)\nTMP (unitless)\ndepth (m)\nSTATION_TYPE (unitless)\nDATE (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\nAL27_TPL_CONC_BOTTLE (picomolar (pM))\nAL27_TPL_FLAG_BOTTLE (unitless)\nP31_TPL_CONC_BOTTLE (picomolar (pM))\nP31_TPL_FLAG_BOTTLE (unitless)\nTI47_TPL_CONC_BOTTLE (picomolar (pM))\nTI47_TPL_FLAG_BOTTLE (unitless)\nV51_TPL_CONC_BOTTLE (picomolar (pM))\nV51_TPL_FLAG_BOTTLE (unitless)\nMN55_TPL_CONC_BOTTLE (picomolar (pM))\n... (47 more variables)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_888772_v2_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_888772_v2_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_888772_v2/index.htmlTable https://osprey.bco-dmo.org/dataset/888772 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_888772_v2.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_888772_v2&showErrors=false&email= BCO-DMO bcodmo_dataset_888772_v2
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_986256_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_986256_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_986256_v1/ public [2022 CBL Seine Dissection Results] - Stomach dissection results from fish caught in Chesapeake Biological Laboratory's seine survey in Summer 2022 (Planktonic Omnivores and Stable Isotopes: Developing, Validating and Field-testing a Multi-species Functional Response Model) This dataset includes results from the dissection of stomach contents of fish caught from a yearly seine survey (May-October) conducted by Chesapeake Biological Laboratory (CBL). The fish were kept based on morphology, where those that could physically consume a mysid shrimp were kept and frozen to be dissected at a later date. The dissection data include the individual fish identification number, date the fish was caught, location fish was caught, species of fish, total length of fish, full and empty weights of the fish, and the presence of various prey items (unidentifiable material, amphipods, polychaetes, mysids, unidentifiable crustaceans, isopods, barnacles, bivalves, miscellaneous larvae, insects, fish, foliage, diatoms, algae, potential parasites), the items found in the stomachs, and comments about each dissection. Dissections took place from September 2022 to January 2023. Laboratory scalpels and forceps were used to remove the organs from the fish, and a dissecting microscope was used to identify the stomach contents visually. Sampling was done by various students and technicians at Chesapeake Biological Laboratory, and dissections were done by Lael Collins.\n\ncdm_data_type = Other\nVARIABLES:\nFish_ID (unitless)\nDate_Caught (unitless)\nLocation_Survey (unitless)\nSpecies (unitless)\nTotalLength_mm (millimeters (mm))\nWeight_g (grams (g))\nFull_stomach_wt_g (grams (g))\nEmpty_stomach_wt_g (grams (g))\nMysids_count (unitless)\nMysids_present (unitless)\nAmphipods (unitless)\nPolychetes (unitless)\nUnid_crustacean (unitless)\nCopeods (unitless)\nIsopods (unitless)\n... (9 more variables)\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_986256_v1/index.htmlTable https://osprey.bco-dmo.org/dataset/986256 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_986256_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_986256_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_986256_v1
log in [2023 Bottom Temperature Data] - Water temperature data from temperature loggers attached to larval settlement collectors placed on the seafloor in the Gulf of Maine from from June to September 2023 (Lobster Thermal Thresholds project) (RUI: Collaborative Research: Linking physiological thermal thresholds to the distribution of lobster settlers and juveniles) We used the American lobster (Homarus americanus lsid:marinespecies.org:taxname:156134) in the Gulf of Maine as a model system to define thermal tolerance in larvae and establish mechanistic linkages between thermal tolerance of the individual larva and the patterns of settlement in the field. We assessed and compared the thermal tolerances of larvae in the laboratory and to link to patterns in the field we measured larval settlement as a function of depth (and therefore temperatures) and deployed caged larvae at different depths (and therefore temperatures).  This dataset reports the bottom temperature data from temperature loggers attached to larval settlement collectors placed on the bottom from early June to late September in 2023.  Collectors were deployed in coastal waters in the vicinity of Boothbay Harbor, Maine, USA at depths ranging from 7 to 77 meters. Bigelow Laboratory for Ocean Sciences were the base for field operations which were led by Eric Annis and Douglas Rasher.\n\ncdm_data_type = Other\nVARIABLES:\ntime (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\nCh1_Temperature (degrees C)\nCollector_ID (unitless)\nTemperature_Logger_ID (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\nDatetime_deployed_UTC (unitless)\nDate_Retrieved_UTC (unitless)\ndepth (m)\nSource_File (unitless)\n BCO-DMO bcodmo_dataset_939856_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_986250_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_986250_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_986250_v1/ public [2023 CBL Seine Dissection Results] - Stomach dissection results from fish caught in Chesapeake Biological Laboratory's seine survey in Summer 2023 (Planktonic Omnivores and Stable Isotopes: Developing, Validating and Field-testing a Multi-species Functional Response Model) This dataset includes results from the dissection of stomach contents of fish caught from a night time seine survey (August-September) conducted by Chesapeake Biological Laboratory. The fish were kept based on previous evidence of consuming mysids and what other studies have determined to consume mysids. The dissection data include the individual fish identification number, date and time the fish was caught, location fish was caught, species of fish, total length of fish, full and empty weights of the fish, and the presence of various prey items (amphipods, fish, insects, mysids, polychetes, crabs, foliage, shrimp, isopods), the items found in the stomachs, and comments about each dissection. Dissections took place from October 2023 to January 2024. Laboratory scalpels and forceps were used to remove the organs from the fish, and a dissecting microscope was used to identify the stomach contents visually. Sampling was done by various students and technicians at Chesapeake Biological Laboratory, and dissections were done by Lael Collins.\n\ncdm_data_type = Other\nVARIABLES:\nFish_ID (unitless)\nISO_DateTime_Local (unitless)\nDate_Caught (unitless)\nTime_Caught (unitless)\nLocation_Survey (unitless)\nSpecies (unitless)\nTotal_Length_mm (millimeters (mm))\nTotal_Weight_g (grams (g))\nFull_Stomach_g (grams (g))\nEmpty_Stomach_g (grams (g))\nMysids_count (unitless)\nMysids_present (unitless)\nAmphipods (unitless)\nFish (unitless)\nInsects (unitless)\nPolychetes (unitless)\nCrabs (unitless)\n... (5 more variables)\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_986250_v1/index.htmlTable https://osprey.bco-dmo.org/dataset/986250 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_986250_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_986250_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_986250_v1
log in [2024 St John octocoral abundances] - Octocoral colony heights measured during transect surveys at six sites on the south shore of St. John, US Virgin Islands during July and August of 2024 (Collaborative Research: Pattern and process in the abundance and recruitment of Caribbean octocorals) This dataset contains octocoral colony heights along with measures of damage and notes on the presence of epibionts found in 1m2  quadrats that were surveyed at 6 sites on the south shore of St John, Virgin Islands, within the Virgin Islands National Park during July and August 2024 measured during transect surveys at four sites on the south shore of St. John, US Virgin Islands in 2024.\n\ncdm_data_type = Other\nVARIABLES:\nline (unitless)\nCensus_Year (unitless)\nDate (unitless)\nSite (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\nTransect_Position (unitless)\nMeter_on_transect (unitless)\nSide_of_transect (unitless)\nMeter_Side (unitless)\nQuadrat (unitless)\nGenus (unitless)\nField_Species_Code (unitless)\nRevised_Species_Code (unitless)\nRevised_species (unitless)\nMaximum_height_from_base (centimeters (cm))\nHeight_of_living_tissue (centimeters (cm))\nBasal_damage (centimeters (cm))\nColony_damage_score (unitless)\nNumber_of_Cyphoma (unitless)\nComments_1 (unitless)\nComments_2_sample_tag_num (unitless)\nLowest_Taxon_for_Revised_Species (unitless)\nLowest_Taxon_LSID_for_Revised_Species (unitless)\nGenus_LSID (unitless)\n BCO-DMO bcodmo_dataset_956712_v1
log in [24 hr Mysid sampling counts and water quality] - Mysid sampling and water quality monitoring from 24-hour sampling events in Patuxent River in MD, USA from May 2024 to Oct 2024 (Planktonic Omnivores and Stable Isotopes: Developing, Validating and Field-testing a Multi-species Functional Response Model) These data include mysid counts, water quality and sampling metadata from 24hr sampling events that occurred between May 2024 and October 2024 in the Patuxent River in MD, USA. Observations were collected with a zooplankton net (500 µm net mesh) and epi-benthic sled (500 µm net mesh) and water quality sonde. These measurements were taken to understand mysid (opossum shrimp) spatial and temporal dynamics in shallow-water estuarine habitats to inform models and were collected by Dr. Ryan Woodland and team at the University of Maryland Center for Environmental Science Chesapeake Biological Laboratory in Solomons, MD.\n\ncdm_data_type = Other\nVARIABLES:\nLocal_DateTime_EDT (unitless)\ntime (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\nSite (unitless)\nlatitude (degrees_north)\nlongitude (Long, degrees_east)\nGear (unitless)\nType (unitless)\nTotal_count (unitless)\nA_spp_count (unitless)\nN_amer_count (unitless)\nUn_ID (unitless)\nSub_count (unitless)\nProp_A (unitless)\nProp_N (unitless)\nMysids_per_m2 (Mysids per square meter)\nVolume_filtered (m3)\nSwept_area (m2)\ndepth (Sonde_depth, m)\nTemperature (degrees Celsius)\nPercent_DO (percent (%))\nDO_mgL (mg/L)\nConductivity (mS/cm)\nSalinity (PSU)\nNotes (unitless)\n BCO-DMO bcodmo_dataset_996519_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_986272_v2 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_986272_v2.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_986272_v2/ public [25m Virgin Island Reef Water Quality Metrics] - Water quality metrics collected from 25 meter reefs from around the U.S. Virgin Islands during May 2023 (Multi-scale multi-host disease spread project) (A multi-scale approach to predicting infectious multi-host disease spread in marine benthic communities) Reef seawater was collected to quantify microbial cell abundances. Water samples were collected by SCUBA divers approximately 2 meters above the reef surface. Physical parameters, including temperature, salinity, dissolved oxygen, pH, and turbidity, were measured from the boat using an EXO2 multiparameter sonde. Sample processing will follow previously published methods (Becker et al., 2020; Weber et al., 2020). Collections were replicated across four sampling days.\n\ncdm_data_type = Other\nVARIABLES:\nMission (unitless)\nSite (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\ntime (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\nDate (unitless)\ndepth (Sampling_depth, m)\nTime_of_sonde (unitless)\nTemp_C (degrees Celcius)\nmmHg (millimeters)\nDO_Percent (unitless)\nDO_Concentration (miligrams per liter (mg/L))\nSPC (microSiemens per centimeter (uS/cm))\nC (microSiemens per centimeter (uS/cm))\nSAL (parts per thousand (ppt))\npH (unitless)\nNTU (Nephelometric Turbidity Units (NTU))\nTSS (miligrams per liter (mg/L))\nDEP_m (m)\nLab_ID_for_cell_abundances (unitless)\npro (cells per milliliter (cells/mL))\nsyn (cells per milliliter (cells/mL))\npeuk (cells per milliliter (cells/mL))\nhbact (cells per milliliter (cells/mL))\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_986272_v2_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_986272_v2_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_986272_v2/index.htmlTable https://osprey.bco-dmo.org/dataset/986272 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_986272_v2.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_986272_v2&showErrors=false&email= BCO-DMO bcodmo_dataset_986272_v2
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_893293 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_893293.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_893293/ public [32Si and 14C Production - Profiles - from DY131] - Depth profiles in the euphotic zone of nitrate, silicate, and phosphate concentrations and profiles of silicic acid uptake rates from EXPORTS cruise DY131 in the North Atlantic during May 2021 (Collaborative Research: Diatoms, Food Webs and Carbon Export - Leveraging NASA EXPORTS to Test the Role of Diatom Physiology in the Biological Carbon Pump) 32Si and 14C Production - Profiles - from DY131\n\ncdm_data_type = Other\nVARIABLES:\nCruise (cruise during which sample was collected\\)\ntime (ISO Date Time UTC, seconds since 1970-01-01T00:00:00Z)\nEvent (Event number from R2R event log)\nActivity (which instrument was used for sample collection)\nStation (station identifier)\nCast (CTD or TM cast number)\nlatitude (degrees_north)\nlongitude (degrees_east)\nTarget_Depth (meters (m))\nActual_Depth (meters (m))\nLight_Level (unitless (percent))\nPhosphate (millimoles per cubic meter (mmol m^3))\nPhosphate_Flag (unitless)\nSilicate (millimoles per cubic meter (mmol m^3))\nSilicate_Flag (unitless)\nNitrite (millimoles per cubic meter (mmol m^3))\nNitrite_Flag (unitless)\nNitrate_and_Nitrite (millimoles per cubic meter (mmol m^3))\nNitrate_and_Nitrite_Flag (unitless)\nBlank_Corrected_POC (milligrams per cubic meter (mg m^3))\nPOC_Flag (unitless)\nBlank_Corrected_PON (milligrams per cubic meter (mg m^3))\nPON_Flag (unitless)\nchl_a_0_6um_to_5um (micrograms per cubic meter (ug m^3))\nchl_a_gt_5um (micrograms per cubic meter (ug m^3))\nbSi_0_6um_to_5um (nanomoles Si per liter (nmol Si L^1))\nbSi_gt_5um (nanomoles Si per liter (nmol Si L^1))\n... (4 more variables)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_893293_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_893293_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_893293/index.htmlTable https://www.bco-dmo.org/dataset/893293 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_893293.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_893293&showErrors=false&email= BCO-DMO bcodmo_dataset_893293
log in [A scandium incubation experiment during the PUPCYCLE I cruise in the California Current System in 2019] - Dissolved and particulate Fe and Sc concentrations, chlorophyll, nutrients from a scandium incubation experiment during the PUPCYCLE I R/V Oceanus cruise 1905B in the California Current System in 2019 (CAREER: An integrated molecular and physiological approach to examining the dynamics of upwelled phytoplankton in current and changing oceans) We performed an incubation experiment with added dissolved scandium and/or iron in waters sampled in the California Current System during the PUPCYCLE I cruise in 2019 with Chief Scientist Adrian Marchetti. PUPCYCLE I (Phytoplankton response to the UPwelling CYCLE) took place in summer 2019 onboard the R/V Oceanus (OC 1905b). Water for the incubation was collected from 15 m just off the Big Sur coast 2 June 2019. This was in a region with an extremely narrow shelf. There were five total treatments run in triplicate: control (no addition), +5 nmol/kg dissolved Fe, +5 nmol/kg dissolved Sc, +5 nmol/kg dissolved Fe and +5 nmol/kg dissolved Sc, and filtered seawater with +5 nmol/kg dissolved Fe and +5 nmol/kg dissolved Sc. After 24 hours incubating, the incubation was harvested and analyzed for chlorophyll, nutrients, and dissolved and particulate Fe and Sc concentrations. The effort was to investigate similarities and differences in the oceanic chemical cycling of Fe and Sc.\n\ncdm_data_type = Other\nVARIABLES:\nLabel (unitless)\nTimepoint (hours)\nTreatment (unitless)\nReplicate (unitless)\nChl_gt_5um (micrograms per liter (ug/L))\nChl_gt_0pt7um (micrograms per liter (ug/L))\nNO3 (micromolar (uM))\nPO4 (micromolar (uM))\nSiO2 (micromolar (uM))\ndissolved_Fe (nanomoles per kilogram (nmol/kg))\ndissolved_Sc (picomoles per kilogram (pmol/kg))\ndissolved_Sc_flag (unitless)\n BCO-DMO bcodmo_dataset_940093_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_929812_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_929812_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_929812_v1/ public [Abalone and Urchin Recruitment Modules] - Number and sizes of abalone and urchin recorded during dive surveys at specially designed recruitment modules (RMs) deployed at rocky subtidal reef at Van Damme State Park, Mendocino County, California, USA from August 2001 to August 2023 (Collaborative Research: The effects of marine heatwaves on reproduction, larval transport and recruitment in sea urchin metapopulations) An important facet of the Kelp Forest Monitoring project is sampling recruitment of juvenile abalone and sea urchins. Specially designed recruitment modules (RMs) made of stainless steel and filled with ½ concrete cinder blocks as habitat were bolted to the rocky subtidal reef at Van Damme State Park, Mendocino County, California. Twelve RMs were deployed at 10 to 12 meters depth in three groups of four in August of 2000. They were allowed to season for a year before surveys began in August 2001.\n\nEach August, SCUBA dive teams collected and measured the organisms inside the modules. The data associated with this dataset are the number and sizes of red abalone (Haliotis rufescens), pinto abalone (H. kamtschatkana), flat abalone (H. walallensis), red sea urchins (Mesocentrotus franciscanus), and purple sea urchins (Strongylocentrotus purpuratus). Data are presented in tabular format with a row for each RM each year.\n\ncdm_data_type = Other\nVARIABLES:\nARM_Num (unitless)\nYear (unitless)\nNo_ARMs (unitless)\nSpeciesID (unitless)\nCommonName (unitless)\nScientificName (unitless)\nSize (millimeters (mm))\nLT_21 (unitless)\nLT_51 (unitless)\nGT_50 (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_929812_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_929812_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_929812_v1/index.htmlTable https://www.bco-dmo.org/dataset/929812 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_929812_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_929812_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_929812_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_907383_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_907383_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_907383_v1/ public [Abalone Recruitment Modules] - Abalone recruitment data from Baja California and Baja California Sur, Mexico in 2019 (Collaborative Research: Evaluating how abalone populations in the California Current are structured by the interplay of large-scale oceanographic forcing and nearshore variability) Abalone support commercial and recreational fishery, however their population have decline dramatically since 1950's. To understand the recruitment of abalone populations, standarized abalone recruitment modules made of half cinder blocks inside cages were deployed in Baja California and Baja California Sur, Mexico. 12 cages were deployed at three sites (i.e., El Rosario, Isla Natividad and La Bocana) in Mexico. The abundances of abalone and invertebrates found in the cages were checked after 12months. This dataset presents all the information collected from the cages deployed at three sites (El Rosario, Isla Natividad and La Bocana) in Baja California and Baja California Sur, Mexico.\n\ncdm_data_type = Other\nVARIABLES:\ndate (unitless)\nSite (unitless)\nBouy (unitless)\ndivers (unitless)\nBART_transect (unitless)\nnumber (unitless)\ndepth_f (Depth, feet (ft))\ncamera (unitless)\nlat (degrees_north)\nlongitude (Long, degrees_east)\nOrganism_Identification (unitless)\nTaxonomic_name (unitless)\nSpecies_note (unitless)\nindividual_num (unitless)\nsize_mm (millimeters (mm))\nsize_mm_note (unitless)\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_907383_v1/index.htmlTable https://www.bco-dmo.org/dataset/907383 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_907383_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_907383_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_907383_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_922718_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_922718_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_922718_v1/ public [Abyssal megafauna capture records] - Capture records of abyssal megafauna captured using submersibles and ROVs at Station ALOHA off Hawaii and Station M off California from 2019 to 2020 (Collaborative Research: Assessing the relative importance of small vs large particles as sources of nutrition to abyssal communities) This dataset includes the capture records for the abyssal megafauna captured as part of this food web project. Megafauna were captured using submersibles and ROVs at Station ALOHA off Hawaii and Station M off California from 2019 to 2020. These animals were captured as representatives of their abyssal food webs for an isotopic investigation of their original particulate nutritional sources (different sized particles). Each organism was identified, measured, most weighed using a motion compensated scale, and frozen for later drying and isotope analysis. For larger organisms such as holothurians or fishes, samples of tissues were taken and often the whole animal was preserved for later confirmation of taxonomic identification.\n\ncdm_data_type = Other\nVARIABLES:\nCruise_number (unitless)\nsample_code (unitless)\nSample (unitless)\nStation (unitless)\nStation_Latitude (degrees_north)\nlongitude (Station_longitude, degrees_east)\nlocal_date (unitless)\nType_of_organism (unitless)\nspecies (unitless)\nnumber (unitless)\nTotal_Length_cm (centimeters (cm))\nStandard_Length_cm (centimeters (cm))\nPreAnal_Fin_Length_cm (centimeters (cm))\nCarapace_Length_mm (millimeters (mm))\nMass_g (grams (g))\nsex (unitless)\nTissue_fin_clip (unitless)\nTissue_whole_body (unitless)\nTissue_white_muscle (unitless)\nTissue_gut_removed (unitless)\n... (9 more variables)\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_922718_v1/index.htmlTable https://www.bco-dmo.org/dataset/922718 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_922718_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_922718_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_922718_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_955739_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_955739_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_955739_v1/ public [Acarta tonsa and A. hudsonica seasonal thermal limits (LD50)] - Upper thermal limits (LD50) for two common coastal copepods during thermal experiments with individuals collected from Long Island Sound between July 2017 and November 2019 (Linking eco-evolutionary dynamics of thermal adaptation and grazing in copepods from highly seasonal environments) These data include estimates of upper thermal limits for two common coastal copepods collected from Long Island Sound between July 2017 and November 2019. Individual survival measurements were made for both field and laboratory acclimated individuals exposed to temperatures ranging from 10°C to 39°C. These data highlight how acclimation and rapid adaptation may influence responses of populations to rapid climate change. Data were collected by Dr. Matthew Sasaki at the University of Connecticut.\n\ncdm_data_type = Other\nVARIABLES:\nspecies (unitless)\nacclimation (unitless)\ncollection_id (unitless)\ncollection_date (unitless)\ncollection_month (unitless)\ncollection_year (unitless)\ncollection_temp (degrees Celsius)\nacclimation_temp (degrees Celsius)\nLD50 (degrees Celsius)\nSE (degrees Celsius)\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_955739_v1/index.htmlTable https://osprey.bco-dmo.org/dataset/955739 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_955739_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_955739_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_955739_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_818482_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_818482_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_818482_v1/ public [Acartia tonsa Body Size] - Sex-specific body size measurements from two copepod populations in the Coastal Northwest Atlantic Surface Waters from 2017-07-16 to 2017-08-25 (Collaborative Research: Response of marine copepods to warming temperature and ocean acidification) Sex-specific body size measurements from two copepod populations in the Coastal Northwest Atlantic Surface Waters from 2017-07-16 to 2017-08-25\n\ncdm_data_type = Other\nVARIABLES:\nIndividual (unitless)\nPop (unitless)\nDev (degrees Celsius)\nSex (unitless)\nBL (millimeters)\nCollection_Date (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_818482_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_818482_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_818482_v1/index.htmlTable https://osprey.bco-dmo.org/dataset/818482 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_818482_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_818482_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_818482_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_817999_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_817999_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_817999_v1/ public [Acartia tonsa Egg Production] - Individual egg production measurements from 10 copepod populations from 2017-07-15 to 2018-07-26 in coastal northwest Atlantic surface waters (Collaborative Research: Response of marine copepods to warming temperature and ocean acidification) Individual egg production measurements from 10 copepod populations from 2017-07-15 to 2018-07-26 in coastal northwest Atlantic surface waters\n\ncdm_data_type = Other\nVARIABLES:\nIndividual (unitless)\nPopulation (unitless)\nTemp (degrees Celsius (C))\nTotal (unitless)\nHatched (unitless)\nHatching_Success (unitless)\nEggs_per_day (eggs per day)\nCollection_Date (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_817999_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_817999_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_817999_v1/index.htmlTable https://osprey.bco-dmo.org/dataset/817999 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_817999_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_817999_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_817999_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_818042_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_818042_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_818042_v1/ public [Acartia tonsa heat shock survivorship] - Individual thermal stress survivorship measurements from 10 copepod populations from Coastal Northwest Atlantic Surface Waters from 2017-07-15 to 2018-07-26 (Collaborative Research: Response of marine copepods to warming temperature and ocean acidification) Individual thermal stress survivorship measurements from 10 copepod populations from Coastal Northwest Atlantic Surface Waters from 2017-07-15 to 2018-07-26.\n\ncdm_data_type = Other\nVARIABLES:\nPopulation (unitless)\nStress_temp (degrees Celsius (C))\nDev_temp (degrees Celsius (C))\nIndividual (unitless)\nSurvivorship (unitless)\nCollection_Date (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_818042_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_818042_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_818042_v1/index.htmlTable https://osprey.bco-dmo.org/dataset/818042 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_818042_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_818042_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_818042_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_955742_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_955742_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_955742_v1/ public [Acartia tonsa seasonal variation in body size] - Acartia tonsa prosome length measurements from copepods collected in Long Island Sound in summer and fall of 2019 (Linking eco-evolutionary dynamics of thermal adaptation and grazing in copepods from highly seasonal environments) Copepods with short generation times experience seasonal environmental variation across, rather than within, generations. This data includes body size measurements for both male and female individuals from seasonal collections of Acartia tonsa from Eastern Long Island Sound in Summer and Fall 2019.  The body size measurements in this dataset correspond to the 2019 collections (laboratory acclimation groups).\nAdditional body size measurements (as prosome lengths) were made on individuals from a split-brood experiment after several generations of common garden acclimation. The observed variation in size can therefore be attributed to the effects of both genetic variation and phenotypic plasticity. Data were collected by Dr. Matthew Sasaki at the University of Connecticut.\n\ncdm_data_type = Other\nVARIABLES:\ncollection_id (unitless)\ncollection_date (unitless)\ncollection_temp (degrees Celsius)\nacclimation_temp (degrees Celsius)\nsex (unitless)\nlength (millimeter (mm))\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_955742_v1/index.htmlTable https://osprey.bco-dmo.org/dataset/955742 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_955742_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_955742_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_955742_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_955733_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_955733_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_955733_v1/ public [Acartia tonsa thermal limits under different feeding treatments] - Individual thermal limit measurements for Acartia tonsa during Critical Thermal Maxima (CTmax) experiments under different feeding treatments with copepods collected from eastern Long Island Sound in July 2020 (Linking eco-evolutionary dynamics of thermal adaptation and grazing in copepods from highly seasonal environments) The data contain individual thermal limit measurements for Acartia tonsa, collected from eastern Long Island Sound in July 2020. During the experiments, copepods were either fed or starved. Thermal limits (as critical thermal maxima) were measured daily for five days to determine the time-course of starvation effects. Data were collected by Gaia Rueda-Moreno and Dr. Matthew Sasaki at the University of Connecticut.\n\ncdm_data_type = Other\nVARIABLES:\nreplicate (unitless)\nexperiment_date (unitless)\nexperiment_day (unitless)\nexperiment_month (units)\nexperiment_year (unitless)\ndiet (unitless)\ntube (unitless)\nctmax (degrees Celsius)\nlength (millimeters (mm))\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_955733_v1/index.htmlTable https://osprey.bco-dmo.org/dataset/955733 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_955733_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_955733_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_955733_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_818108_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_818108_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_818108_v1/ public [Acartia tonsa thermal tolerance] - Sex-specific thermal stress survivorship measurements from two copepod populations in the Coastal Northwest Atlantic Surface Waters from 2017-07-16 to 2017-08-25 (Collaborative Research: Response of marine copepods to warming temperature and ocean acidification) Sex-specific thermal stress survivorship measurements from two copepod populations in the Coastal Northwest Atlantic Surface Waters from 2017-07-16 to 2017-08-25\n\ncdm_data_type = Other\nVARIABLES:\nPop (unitless)\nDev (degrees Celsius)\nStress (degrees Celsius (degC))\nSex (unitless)\nSurv (unitless)\nCollection_Date (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_818108_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_818108_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_818108_v1/index.htmlTable https://osprey.bco-dmo.org/dataset/818108 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_818108_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_818108_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_818108_v1
log in [Acropora cervicornis 16S rRNA sequence metadata: nutrient- and disease-exposed] - Acropora cervicornis 16S rRNA sequence metadata: nutrient- and disease-exposed from samples collected at  Mote Marine Laboratory in situ nursery from June to July 2022 (Collaborative Research: Tracking the interacting roles of the environment, host genotype, and a novel Rickettsiales in coral disease susceptibility) In the summer of 2022, 20 ramets each of the Acropora cervicornis genotypes ML-AC-36 and ML-AC-46 were collected from Mote's in situ coral nursery and subjected to three weeks of elevated nitrate, ammonium, and phosphate in the form of a slow-release fertilizer. The duration and concentration of this exposure were selected based on prior experiments conducted at Mote Marine Laboratory, which were found to alter microbial community profiles and growth rates in A. cervicornis (Klinges et al., 2022, 2023). During experiment, corals were held in 2-gallon aquaria with 5 corals per aquarium. As Mote Marine Laboratory's experimental aquarium system is plumbed into nearshore coastal water and thus has a higher nutrient load than the reef, an additional subset of 18 ramets of each genotype was collected from Mote's in situ coral nursery immediately prior to disease challenge to evaluate the impact of nearshore water on disease response. All ramets in the disease group were subjected to disease challenge in the form of a tissue homogenate produced from diseased fragments of random genotypes of A. cervicornis. Ramets in a comparative unexposed group were exposed to a homogenate produced from healthy fragments of random genotypes of A. cervicornis.  We collected 190 samples for 16S rRNA sequencing, including prior to nutrient exposure, nutrient-exposed and -unexposed corals prior to disease challenge, and at several timepoints throughout disease exposure capturing both diseased and apparently healthy phenotypes. We additionally collected numerous samples for measurements of immune-related proteins. In brief, we found that disease challenge significantly impacted microbial communities, leading to significant differences in community composition between disease-exposed samples that developed disease, exposed samples that resisted disease, and healthy unexposed controls. The taxa Algicola, Halarcobacter, Saprospira, Shimia, Tenacibaculum, Thalassolituus, and Thalassotalea increased in abundance in samples that developed disease. Of the genotypes chosen for the experiment, one genotype was dominated by the putative parasite Aquarickettsia. We found that both genotypes were susceptible to disease, in contrast to previous results indicating that genotypes with low abundance of Aquarickettsia and relatively diverse microbiomes were disease-resistant. Raw sequence reads have been submitted to SRA under PRJNA1024453 with an embargo until publication.\n\ncdm_data_type = Other\nVARIABLES:\nNCBI_Project (unitless)\nsample_name (unitless)\n... (30 more variables)\n BCO-DMO bcodmo_dataset_924465_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_847425_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_847425_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_847425_v1/ public [Acropora cervicornis bleaching sequences] - Sequences from the coral Acropora cervicornis determined before and after bleaching at the Mote Marine Laboratory in August and September 2015 (Collaborative Research: Tracking the interacting roles of the environment, host genotype, and a novel Rickettsiales in coral disease susceptibility) This dataset contains information about sequences of coral the Acropora cervicornis collected from host colonies (genets) at the Mote Marine Laboratory in situ coral nursery in Looe Key, Lower Florida Keys, USA in August and September of 2015. The sequence data can be found in the National Center for Biotechnology Information (NCBI) Sequence Read Archive (SRA) database under accession number SRP267474 with the associated BioProject PRJNA639601.\n\ncdm_data_type = Other\nVARIABLES:\nbioproject_accession (unitless)\nsample_name (unitless)\nSRA_run_ID (unitless)\nSRA_study_ID (unitless)\nSRA_title (unitless)\nlibrary_strategy (unitless)\nlibrary_source (unitless)\nlibrary_selection (unitless)\nlibrary_layout (unitless)\nplatform (unitless)\ninstrument_model (unitless)\ndesign (unitless)\nfiletype (unitless)\nfilename (unitless)\nfiletype2 (unitless)\nfilename2 (unitless)\nsite (unitless)\ncollection_date (unitless)\nlat (degrees_north)\nlongitude (degrees_east)\nHost_organism (unitless)\ngenotype (unitless)\nbleach_status (unitless)\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_847425_v1/index.htmlTable https://www.bco-dmo.org/dataset/847425 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_847425_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_847425_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_847425_v1
log in [Acropora cervicornis protein measurements: nutrient- and disease-exposed] - Acropora cervicornis protein measurements: nutrient- and disease-exposed from samples collected at  Mote Marine Laboratory in situ nursery from June to July 2022 (Collaborative Research: Tracking the interacting roles of the environment, host genotype, and a novel Rickettsiales in coral disease susceptibility) In the summer of 2022, 20 ramets each of the Acropora cervicornis genotypes ML-AC-36 and ML-AC-46 were collected from Mote's in situ coral nursery and subjected to three weeks of elevated nitrate, ammonium, and phosphate in the form of a slow-release fertilizer. The duration and concentration of this exposure were selected based on prior experiments conducted at Mote Marine Laboratory, which were found to alter microbial community profiles and growth rates in A. cervicornis (Klinges et al., 2022, 2023). During experiment, corals were held in 2-gallon aquaria with 5 corals per aquarium. As Mote Marine Laboratory's experimental aquarium system is plumbed into nearshore coastal water and thus has a higher nutrient load than the reef, an additional subset of 18 ramets of each genotype was collected from Mote's in situ coral nursery immediately prior to disease challenge to evaluate the impact of nearshore water on disease response. All ramets in the disease group were subjected to disease challenge in the form of a tissue homogenate produced from diseased fragments of random genotypes of A. cervicornis. Ramets in a comparative unexposed group were exposed to a homogenate produced from healthy fragments of random genotypes of A. cervicornis.  To evaluate the effect of Aquarickettsia infection; nutrient enrichment; disease exposure; and the combination of these factors on coral immune function, a number of immune related proteins and antioxidants were measured using microplate assays from a total of 55 samples taken prior to disease exposure and following disease exposure as corals either resisted or developed disease. Total host protein and the antioxidant superoxide dismutase were found to be higher in healthy corals regardless of genotype or nutrient enrichment. Phenoloxidase and prophenoloxidase were higher in concentration in diseased samples compared to healthy samples. Disease-exposed but apparently healthy corals had higher superoxide dismutase, prophenoloxidase, and peroxidase activity than either healthy unexposed corals or diseased corals despite total protein concentrations that were lower than healthy unexposed corals.\n\ncdm_data_type = Other\nVARIABLES:\nFull_ID (unitless)\nDate (unitless)\nTP (mg)\nPOX (ΔAbs470nm)\nNormalized_POX (ΔAbs470nm/mg protein)\n... (17 more variables)\n BCO-DMO bcodmo_dataset_924466_v1
log in [Acropora cervicornis transcriptomes: nutrient- and disease-exposed] - Acropora cervicornis transcriptomes: nutrient- and disease-exposed from samples collected at Mote Marine Laboratory in situ nursery from June to July 2022 (Collaborative Research: Tracking the interacting roles of the environment, host genotype, and a novel Rickettsiales in coral disease susceptibility) We confirmed data from previous studies showing that genotypes of Acropora cervicornis dominated by the coral parasite Aquarickettsia are more susceptible to White Band Disease than genotypes with diverse microbiomes. However, in a study with ramets from genotypes exhibiting each microbiome profile, we found that the strongest predictor of disease development was prior exposure to increased thermal stress that occurred independent of the study on Florida's reef during the experiment. While no ramets of the coral genotype with a diverse microbiome developed disease after exposure to nutrient enrichment, seven ramets of this genotype developed disease after exposure to elevated temperatures and subsequent disease challenge. Two ramets exposed to elevated temperatures and not exposed to disease also died, suggesting that temperature alone could have been fatal to this genotype. An equal number of ramets exposed to elevated nutrients and elevated temperatures developed disease in the genotype dominated by Aquarickettsia. To evaluate the effect of Aquarickettsia infection; nutrient enrichment; disease exposure; and the combination of these factors on coral immune function, we conducted RNAseq on 42 samples to an averaging sequencing depth of 22,168,890.6 reads per sample (paired-end).\n\ncdm_data_type = Other\nVARIABLES:\nrnaseq_name (unitless)\nsample_name (unitless)\nsample_title (unitless)\nBioSample (unitless)\nBioProject (unitless)\norganism (unitless)\ntissue (unitless)\nisolation_source (unitless)\ngeo_loc_name (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\ncollection_date (unitless)\nisolate (unitless)\nGenotype (unitless)\n... (17 more variables)\n BCO-DMO bcodmo_dataset_924760_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_922006_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_922006_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_922006_v1/ public [Acropora cervicornis white band exposure experiment survival outcomes] - Acropora cervicornis genomic/trancriptomic sequence accessions with associated data on tank exposure to white band disease and survival outcomes with corals collected from Florida, USA and Bocas del Toro, Panama in 2021 (Multi-omic bases of coral disease resistance) Genomic data was collected from 96 Acropora cervicornis samples, 48 of which were collected from the Coral restoration foundation nursery in Florida in June 2021 and the other 48 were collected from Bocas del Toro Panama in November 2021. All samples were sequenced using illumina short read sequencing to create whole genome sequencing profiles of the DNA with one of the Florida samples, the K2 genotype, being sequenced using additional Nanopore long reads to assemble and annotate an A. cervicornis genome. All genotypes were used in a disease exposure assay to assess individual genotype disease resistance with a further, 16 colonies from Florida being sequenced at two timepoints across disease exposed and healthy colonies (total 48 sequences) using RNAseq to identify patterns in differential gene expression based on disease resistance.\n\nThis dataset includes sample metadata, treatment information, and disease state for corals in the exposure experiment. Sample metadata and accession identifiers for sequences at The National Center for Biotechnology Information (NCBI) are included as a supplemental file.\n\ncdm_data_type = Other\nVARIABLES:\nTank (untiless)\nTreatment (untiless)\nLocation (untiless)\nGenotype (untiless)\nDay_1_AM (untiless)\nDay_1_PM (untiless)\nDay_2_AM (untiless)\nDay_2_PM (untiless)\nDay_3_AM (untiless)\nDay_3_PM (untiless)\nDay_4_AM (untiless)\nDay_4_PM (untiless)\nDay_5_AM (untiless)\nDay_5_PM (untiless)\nDay_6_AM (untiless)\nDay_6_PM (untiless)\nDay_7_AM (untiless)\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_922006_v1/index.htmlTable https://www.bco-dmo.org/dataset/922006 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_922006_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_922006_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_922006_v1
log in [Adult black sea bass winter survival and lipid dynamics: Laboratory-mesocosm experiment] - Adult Black Sea Bass (Centropristis striata) winter survival and lipid accumulation under varying diet and temperature conditions from a laboratory mesocosm experiment (Oct 2022 to Apr 2023) with individuals collected in Long Island Sound (Collaborative research: The genomic underpinnings of local adaptation despite gene flow along a coastal environmental cline) This dataset contains measurements from a laboratory mesocosm experiment (Oct 2022 to Apr 2023) with adult Black Sea Bass (Centropristis striata) collected in Long Island Sound.  Fish in this experiment were collected concurrently with fish sampled for a related wild-caught dataset (see 'Related Datasets' section).\n\nStudy description:\n\nWe experimentally examined overwintering potential of adult Black Sea Bass (Centropristis striata), an ecologically and economically important fish that seasonally migrates from offshore overwintering grounds to coastal feeding and nursery areas. We collected adults from Long Island Sound in September 2022 and reared them in a laboratory-mesocosm experiment under a contemporary seasonal temperature profile for Long Island Sound (LIS; October 2022 – April 2023) to assess their potential to survive and accumulate lipids throughout the winter. We also fed experimental adults two diet items (blue mussels and Atlantic herring), which are commonly found in Long Island Sound. \n\nIn addition, we sampled fish from the same reef in LIS at the start (October) and end (April) of the experiment to identify lipid dynamics in wild fish that migrate offshore (see \"Related Datasets\" section for wild fish data). Experimental C. striata growth throughout the winter was negligible with high mortality (> 50% observed). \n\nWhile survivors fed herring had higher tissue lipid contents, mortality was 2x higher than for fish fed mussels. In contrast, to the experimental fish, wild-captured fish in the spring had higher gonadosmatic indices than that for survivors across both diet treatments, which was most similar to fall-captured fish. While some fish survived throughout the winter, current winter bottom temperatures still preclude a year-round C. striata presence within Long Island Sound. Overwintering inshore is still disadvantageous compared to seasonally migrating due to surviving experimental fish having lower gonadosomatic indices, suggesting that the offshore overwintering period is a time to build energy reserves. However, as coastal waters continue to warm, changing conditions could lead populations to become year-round residents of Long Island Sound, thus increasing C. striata abundance.\n\ncdm_data_type = Other\nVARIABLES:\nSpecies (unitless)\n... (44 more variables)\n BCO-DMO bcodmo_dataset_938004_v1
log in [Adult black sea bass winter survival and lipid dynamics: Wild fish] - Adult Black Sea Bass (Centropristis striata) winter survival and lipid accumulation in wild-caught fish in Long Island Sound in Sept of 2022 to Apr of 2023 (Collaborative research: The genomic underpinnings of local adaptation despite gene flow along a coastal environmental cline) This dataset contains adult Black Sea Bass (Centropristis striata) winter survival and lipid accumulation in wild-caught fish in Long Island Sound (September 2022 to April 2023). This dataset includes data from fish collected concurrently with those used in a related mesocosm experiment (run Oct 2022 to Apr 2023), with fish collected at the same reef (see 'Related Datasets' section).\n\nStudy description:\n\nWe experimentally examined overwintering potential of adult Black Sea Bass (Centropristis striata), an ecologically and economically important fish that seasonally migrates from offshore overwintering grounds to coastal feeding and nursery areas. We collected adults from Long Island Sound in September 2022 and reared them in a laboratory-mesocosm experiment under a contemporary seasonal temperature profile for Long Island Sound (LIS; October 2022 – April 2023) to assess their potential to survive and accumulate lipids throughout the winter. We also fed experimental adults two diet items (blue mussels and Atlantic herring), which are commonly found in Long Island Sound. \n\nIn addition, we sampled fish from the same reef in LIS at the start (October) and end (April) of the experiment to identify lipid dynamics in wild fish that migrate offshore. Experimental C. striata growth throughout the winter was negligible with high mortality (> 50% observed). \n\nWhile survivors fed herring had higher tissue lipid contents, mortality was 2x higher than for fish fed mussels. In contrast, to the experimental fish, wild-captured fish in the spring had higher gonadosmatic indices than that for survivors across both diet treatments, which was most similar to fall-captured fish. While some fish survived throughout the winter, current winter bottom temperatures still preclude a year-round C. striata presence within Long Island Sound. Overwintering inshore is still disadvantageous compared to seasonally migrating due to surviving experimental fish having lower gonadosomatic indices, suggesting that the offshore overwintering period is a time to build energy reserves. However, as coastal waters continue to warm, changing conditions could lead populations to become year-round residents of Long Island Sound, thus increasing C. striata abundance.\n\ncdm_data_type = Other\nVARIABLES:\nSpecies (unitless)\n... (34 more variables)\n BCO-DMO bcodmo_dataset_938012_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_926546_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_926546_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_926546_v1/ public [AE1913 Clio pigments] - Pigment concentration data from AUV Clio dives conducted during R/V Atlantic Explorer cruise AE1913 in the Sargasso Sea in June of 2019 (Collaborative Research: Direct Characterization of Adaptive Nutrient Stress Responses in the Sargasso Sea using Protein Biomarkers and a Biogeochemical AUV) Pigment concentration data from R/V Atlantic Explorer cruise AE1913 (June 2019) in which seawater was collected across a 1,050 km section in the western North Atlantic.\n\ncdm_data_type = Other\nVARIABLES:\nSampleName (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\ndepth (m)\npigment_abbr (unitless)\npigment_conc (nanograms per kilogram (ng/kg))\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_926546_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_926546_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_926546_v1/index.htmlTable https://www.bco-dmo.org/dataset/926546 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_926546_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_926546_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_926546_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_916411_v2 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_916411_v2.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_916411_v2/ public [AE1913 CTD data] - CTD profiles from R/V Atlantic Explorer cruise AE1913 in the Sargasso Sea in June of 2019 (Collaborative Research: Direct Characterization of Adaptive Nutrient Stress Responses in the Sargasso Sea using Protein Biomarkers and a Biogeochemical AUV) Oceanographic samples were collected onboard the R/V Atlantic Explorer between June 16th - 28th 2019, along a transect beginning at the Bermuda Atlantic Time-series Station (BATS) in the Sargasso Sea and terminating in northeast US continental shelf waters. The R/V Atlantic Explorer CTD provided physicochemical contextualization (temperature, oxygen, fluorescence, turbidity) and was deployed at all stations except the last one, St. 9, due to time restrictions.\n\ncdm_data_type = Other\nVARIABLES:\nCast (unitless)\ntime (Nmea_datetime_utc, seconds since 1970-01-01T00:00:00Z)\nlatitude (degrees_north)\nlongitude (degrees_east)\ndepth (m)\nc1mS_cm (milliSiemens per centimeter (mS/cm))\nc0mS_cm (milliSiemens per centimeter (mS/cm))\nt090C (degrees Celsius (deg C))\nprDM (Digiquartz (db))\nsbeox0Mm_L (micromoles per liter (umol/l))\nflC (Micrograms per liter (ug/l))\nCStarTr0 (Percent (%))\nsal00 (Practical Salinity Units (PSU))\nflag (unitless)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_916411_v2_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_916411_v2_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_916411_v2/index.htmlTable https://www.bco-dmo.org/dataset/916411 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_916411_v2.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_916411_v2&showErrors=false&email= BCO-DMO bcodmo_dataset_916411_v2
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_916429_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_916429_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_916429_v1/ public [AE1913 Macronutrients, dissolved and particulate trace metals] - Macronutrients and dissolved and particulate trace metals collected from the R/V Atlantic Explorer cruise AE1913 in the Sargasso Sea in June of 2019 (Collaborative Research: Direct Characterization of Adaptive Nutrient Stress Responses in the Sargasso Sea using Protein Biomarkers and a Biogeochemical AUV) This data includes macronutrients and dissolved and particulate trace metals collected from the AE1913 expedition on the R/V Atlantic Explorer in June 2019. Seawater was collected with a trace metal rosette and filtered through a 0.2 um filter. Filtrate was used for nutrients and dissolved trace metals, and the filter was saved for the particulate metal analysis at select sites. Instruments used were a Alpkem Rapid Flow Analyzer, Technicon AutoAnalyzer II, and iCAP Q inductively coupled plasma mass spectrometer (ICP-MS). The goal of this analysis was to explore the relationship between trace metal/macronutrient availability and microbial metabolism across a section of the North Atlantic Ocean. This data was collected by Mak Saito and Natalie Cohen.\n\ncdm_data_type = Other\nVARIABLES:\nStation (unitless)\nLatitude (degrees_north)\nlongitude (degrees_east)\ndepth (m)\ntime (Datetime_deploy, seconds since 1970-01-01T00:00:00Z)\nDateTime_recover (seconds since 1970-01-01T00:00:00Z)\ndFe (nanomolar (nM))\ndFeFlag (unitless)\ndZn (nanomolar (nM))\ndZnFlag (unitless)\ndCd (nanomolar (nM))\ndCdFlag (unitless)\ndNi (nanomolar (nM))\ndNiFlag (unitless)\ndCu (nanomolar (nM))\ndCuFlag (unitless)\ndMn (nanomolar (nM))\ndMnFlag (unitless)\nPO4 (micromolar (uM))\nNO2_NO3 (micromolar (uM))\n... (9 more variables)\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_916429_v1/index.htmlTable https://www.bco-dmo.org/dataset/916429 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_916429_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_916429_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_916429_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_934706_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_934706_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_934706_v1/ public [AE1913 Protein Spectral Counts] - Scaffold-derived metaproteomic exclusive and total spectral counts associated with proteins from samples taken during R/V Atlantic Explorer cruise AE1913 from the Sargasso Sea to Northeast US shelf waters in June of 2019 (Collaborative Research: Direct Characterization of Adaptive Nutrient Stress Responses in the Sargasso Sea using Protein Biomarkers and a Biogeochemical AUV) These are the Scaffold-derived metaproteomic exclusive and total spectral counts associated with proteins.  Samples were taken during R/V Atlantic Explorer cruise AE1913 in Subtropical North Atlantic, beginning at the Bermuda Atlantic Time-series Station (BATS) of the Sargasso Sea  and ending in coastal Northeast US shelf waters in June of 2019.\n\ncdm_data_type = Other\nVARIABLES:\nrow_id (unitless)\nprotein_id (unitless)\nkegg_id (unitless)\nenzyme_comm_id (unitless)\nprotein_name (unitless)\npfams_id (unitless)\nsupergroup (unitless)\nclassification (unitless)\nsample_id (unitless)\nspectral_count (unitless)\ncruise_id (unitless)\nstation_id (unitless)\ndepth (Depth_m, m)\nminimum_filter_size_microns (microns (um))\nmaximum_filter_size_microns (microns (um))\ndate_y_m_d (unitless)\nlatitude (Latitude_dd, degrees_north)\nlongitude (Longitude_dd, degrees_east)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_934706_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_934706_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_934706_v1/index.htmlTable https://www.bco-dmo.org/dataset/934706 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_934706_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_934706_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_934706_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_926526_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_926526_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_926526_v1/ public [AE1913 R2R ELOG] - Amended Rolling Deck to Repository (R2R) event log (ELOG) taken on the R/V Atlantic Explorer cruise AE1913 in the Sargasso Sea in June of 2019 (Collaborative Research: Direct Characterization of Adaptive Nutrient Stress Responses in the Sargasso Sea using Protein Biomarkers and a Biogeochemical AUV) The Electronic Logger (ELOG) tracked all deployments on the AE1913 cruise, including CTD, McLane pump, trace metal rosette, and AUV Clio deployment/recoveries, flow-through seawater sampling, sediment trap and plankton nets. Corresponding CTD files from each deployment are recorded in the \"comments\" column.\n\nR/V Atlantic Explorer cruise AE1913 was conducted between June 16th - 28th, 2019 in the Sargasso Sea, beginning at Bermuda Atlantic Time-series Station (BATS) and ending in the northeast shelf of Woods Hole Oceanographic Institution (WHOI).\n\ncdm_data_type = Other\nVARIABLES:\nMessage_ID (unitless)\nDate (unitless)\nEvent (unitless)\nR2R_Event (unitless)\nInstrument (unitless)\nAction (unitless)\nTransect (unitless)\nStation (unitless)\nCast (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\ndepth (Seafloor, m)\nAuthor (unitless)\nComment (unitless)\nCruise (unitless)\ndateTimeUTC (unitless)\nGPS_Time (unitless)\ndateTime8601 (unitless)\nRevisions (unitless)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_926526_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_926526_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_926526_v1/index.htmlTable https://www.bco-dmo.org/dataset/926526 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_926526_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_926526_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_926526_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_963407_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_963407_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_963407_v1/ public [AE2413 Bacterial productivity] - Bacterial productivity of samples from three stations in the Western North Atlantic aboard R/V Atlantic Explorer cruise AE2413, during May 2024 (Collaborative Research: Pressure effects on microbially-catalyzed organic matter degradation in the deep ocean) Heterotrophic bacteria and archaea (here: microbes) are critical drivers of the ocean's biogeochemical cycles, active throughout the depth of the ocean. Their capabilities and limitations help determine the rates and locations at which carbon and nutrients are regenerated, as well as the extent to which organic matter is preserved (Hedges 1992). In the deep ocean, at bathy- and abyssopelagic depths (ca. 1000-6000m), these communities are dependent upon the sinking flux of particulate organic matter (POM) from the surface ocean (Bergauer et al. 2018). This dependence means that heterotrophic microbial communities must produce the extracellular enzymes required to solubilize and hydrolyze high molecular weight (HMW) POM to sizes substrates suitable for cellular uptake. A recent global-scale investigation of deep-sea microbes in fact found that the genetic potential for exported (extracellular) enzymes among bacteria in deep waters was far greater than for communities in surface or mesopelagic waters (Zhao et al. 2020). We have new evidence that a substantial fraction of bacteria in bottom water from the North Atlantic Ocean use a specialized set of extracellular enzymes to rapidly take up HMW polysaccharides (Giljan et al. 2021), a substrate processing mechanism that would not be detected with the low molecular weight substrates used in most prior studies of microbial activity in the deep ocean (Nagata et al. 2010).\n \nThrough our collaboration with the Danish Center for Hadal Research, we were able to use pressurization systems and in situ specialized equipment to investigate the effects of pressures characteristic of bathy- and abyssopelagic depths on microbial communities and their extracellular enzymes in the open North Atlantic Ocean.   \n \nHere we present the measurement of 3H-leucine incorporation by heterotrophic bacteria using a cold trichloroacetic acid (TCA) and microcentrifuge extraction method (Kirchman, 2001) at different sites in the Western North Atlantic aboard R/V Atlantic Explorer during during the research cruise AE2413 (2024-05-09 to 2024-05-28).  All work and incubations were performed in a UNOLS isotope lab, or within designated areas at the University of North Carolina at Chapel HIll post cruise. This dataset contains collection metadata, environmental conditions, sample types and treatments, incubation conditions, substrate types, radioactivity measurements, and calculated incorporation rates of 3H-leucine.\n\ncdm_data_type = Other\nVARIABLES:\ndeployment (unitless)\n... (24 more variables)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_963407_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_963407_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_963407_v1/index.htmlTable https://osprey.bco-dmo.org/dataset/963407 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_963407_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_963407_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_963407_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_968956_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_968956_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_968956_v1/ public [AE2413 FlaPS bulk] - Polysaccharide hydrolase activities from water samples collected at various sites under varying hydrostatic pressures in the Western North Atlantic aboard R/V Atlantic Explorer cruise AE2413 in May 2024 (Collaborative Research: Pressure effects on microbially-catalyzed organic matter degradation in the deep ocean) Heterotrophic bacteria and archaea (here: microbes) are critical drivers of the ocean's biogeochemical cycles, active throughout the depth of the ocean. Their capabilities and limitations help determine the rates and locations at which carbon and nutrients are regenerated, as well as the extent to which organic matter is preserved (Hedges 1992). In the deep ocean, at bathy- and abyssopelagic depths (ca. 1000-6000m), these communities are dependent upon the sinking flux of particulate organic matter (POM) from the surface ocean (Bergauer et al. 2018). This dependence means that heterotrophic microbial communities must produce the extracellular enzymes required to solubilize and hydrolyze high molecular weight (HMW) POM to sizes substrates suitable for cellular uptake. A recent global-scale investigation of deep-sea microbes in fact found that the genetic potential for exported (extracellular) enzymes among bacteria in deep waters was far greater than for communities in surface or mesopelagic waters (Zhao et al. 2020). We have new evidence that a substantial fraction of bacteria in bottom water from the North Atlantic Ocean use a specialized set of extracellular enzymes to rapidly take up HMW polysaccharides (Giljan et al. 2021), a substrate processing mechanism that would not be detected with the low molecular weight substrates used in most prior studies of microbial activity in the deep ocean (Nagata et al. 2010).\n \nThrough our collaboration with the Danish Center for Hadal Research, we were able to use pressurization systems and in situ specialized equipment to investigate the effects of pressures characteristic of bathy- and abyssopelagic depths on microbial communities and their extracellular enzymes in the open North Atlantic Ocean.  \n \nHere we present the measurement of polysaccharide hydrolase activities above that measured for killed controls from various sites under varying hydrostatic pressures in the Western North Atlantic aboard R/V Atlantic Explorer, cruise AE2413 in May 2024.\n\ncdm_data_type = Other\nVARIABLES:\ndeployment (unitless)\nstation (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\n... (26 more variables)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_968956_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_968956_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_968956_v1/index.htmlTable https://osprey.bco-dmo.org/dataset/968956 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_968956_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_968956_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_968956_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_925359_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_925359_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_925359_v1/ public [Aerosol REE and Th-232 data from northern Gulf of Alaska region] - Concentrations of the rare earth elements (REE) and Thorium-232 (232Th) from the northern Gulf of Alaska region (Inferring trace element inputs to North Pacific surface waters from Alaskan and Asian dust) Concentrations of the rare earth elements (REE) and Thorium-232 (232Th) are presented for filtered air (dust) samples collected from the northern Gulf of Alaska region, including from Middleton Island (AK)(59.4214 N, 146.3493 W) and the Copper River delta  (60.4324 N, 145.0954 W). Size-fractionated samples were collected in November 2019, using a Tisch Volumetric Flow Controlled (VFC) high volume sampler (Tisch Environmental, TE-5170V- BL) outfitted with a Cascade impactor. The six size fractions collected ranged from <0.49 micrometers (um) to >7.2 um in diameter. This sampler technology is discussed in greater detail in Morton et al, 2013. Samples were filtered with acid-washed Whatman 41 (W41) cellulose fiber filters. Additional bulk dust samples were collected in October 2012, using a  Thermo Partisol Plus 2025 using Teflon filters. Samples were fully digested using concentrated nitric and hydrofluoric acids, following the approach of Morton et al, 2013. Samples were analyzed using a Thermofisher iCAP inductively coupled plasma mass spectrometer (ICP-MS) in KED mode, with He as a collision cell gas, adapted from the approach of Trommetter et al (2020). Concentrations were determined from standard curves using a REE ICP-MS standard from High-Purity Standards (that also contained 232Th). Three internal standards (Ge, In, and Bi) were added to both samples and standards, to correct for short-term variability in the instrument response and to evaluate stability of mass response during the ICP-MS run. Concentration estimates for the REE and 232Th were blank-corrected using full-process blanks that included filters deployed during times when there was no known dust deposition. Most of the full-process blank concentrations were 100 times or more smaller than the concentrations of our lowest standard (with the exception of Ce, the concentration of which was ~seven times smaller than our lowest standard. This means that our blank concentrations were very low but also not quantified extremely accurately. Our best estimates are that the full-process blanks, including filters, ranged from 0.02 picograms per square centimeter (pg cm-2) for Eu, Tb, and Ho, to 2 pg cm-2 for Ce. These blank concentrations were in all cases 40 times or more smaller than our lowest REE sample concentration for the <0.49 um size fraction with the smallest amount of dust, and ~3 orders of magnitude smaller than the signal of the largest samples. The REE data are also presented in a double-normalized format that first normalizes to concentrations of Post Archean Australian Shale and then normalizes to the mean REE concentration. The normalization approach is slightly modified from that of Serno et al, 2014.\n\ncdm_data_type = Other\nVARIABLES:\nsample_description (unitless)\n... (20 more variables)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_925359_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_925359_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_925359_v1/index.htmlTable https://www.bco-dmo.org/dataset/925359 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_925359_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_925359_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_925359_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_944302_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_944302_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_944302_v1/ public [ALFA data - Indonesian Through Flow Region] - Advanced Laser Fluorescence Analyzer (ALFA) data from the Indonesian Through Flow Region from the R/V Roger Ravelle (RR2201) from January to March 2022 (Collaborative Research: Mesoscale variability in nitrogen sources and food-web dynamics supporting larval southern bluefin tuna in the eastern Indian Ocean) The  Automatic Laser Fluorometric Analyzer (ALFA)  is a state-of-the-art instrument, that combines high-resolution spectral measurements of blue (405 nm) and green (532 nm) laser-stimulated fluorescence, with spectral deconvolution techniques to estimate CDOM, phytoplankton variable fluorescence (Fv/Fm), Chl a and three types of phycobiliprotein pigments. This data was collected using the ALFA in Underway fluorescence mode and sampling in the western Eastern Indian Ocean Upwelling region on the R/V Roger Ravelle in January - March 2022 (BLOOFINZ). In underway mode, the ALF is connected to the ship's uncontaminated seawater flow-through system allowing for continuous measurements in water drawn from approximately 5m below the surface. All fluorescence values are Raman-normalized, with the exception of Chl a, which was calibrated with acetone extracted samples measured in a Turner Designs® Trilogy Fluorometer. The instrument is set up to make these measurements approx. every minute. See RR2201 cruise report in related publications.\n\ncdm_data_type = Other\nVARIABLES:\ncruise_ID (unitless)\nDate (unitless)\nTIME_UTC (unitless)\ntime (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\nlatitude (degrees_north)\nlongitude (degrees_east)\nCDOM (rfu)\nChl_a (mg m-3)\nFv_Fm (unitless)\nPE_1 (rfu)\nPE_2 (rfu)\nPE_3 (rfu)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_944302_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_944302_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_944302_v1/index.htmlTable https://osprey.bco-dmo.org/dataset/944302 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_944302_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_944302_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_944302_v1
log in [Algal Ash-Free Dry Weight - Cerro Mundo 2] - Nearshore Shallow Subtidal Macroalgal Preburn, Postburn and Ash-Free Dry Weight Data from October 2022 (Galapagos 2021 project) (Temperature Regulation of Top-Down Control in a Pacific Upwelling System) Increased standing macroalgal biomass in upwelling zones is generally assumed to be the result of higher nutrient flux due to upwelled waters, However, other factors can strongly impact macroalgal communities. For example, herbivory and temperature, via their effects on primary producers and the metabolic demands of consumers, can also influence macroalgal biomass and productivity, respectively.  Although there is a fair number of studies looking at the interactive effects of herbivores and nutrients in both tropical and temperate regions, there is a lack of studies looking at these effects in tropical or subtropical upwelling regions. The purpose of this study was to measure the effects that herbivores, temperature, and nutrient availability have on standing macroalgal biomass. We manipulated nutrient availability and herbivory in six field experiments during contrasting productivity and thermal regimes (cool-upwelling and warm, non-upwelling season) on a subtidal nearshore rocky reef. \n\nHere, we present the macroalgal biomass raw data (Preburn, Postburn, and Ash-Free Dry Weight) collected in the nearshore shallow subtidal during an October 2022 field experiment.\n\ncdm_data_type = Other\nVARIABLES:\nCage (unitless)\nTreatment (unitless)\nN (unitless)\nAlgae_Type (unitless)\nFoil_cup_weight_g (grams)\nSample_and_foil_cup_weight_g (grams)\nPreburn_weight_calculation_g (grams)\nCeramic_cup_weight_g (grams)\nSample_and_ceramic_cup_weight_g (grams)\nPostburn_weight_calculation_g (grams)\nAFDW_Preburn_minus_Postburn_weight_calculation_g (grams)\n BCO-DMO bcodmo_dataset_904710_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_947753_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_947753_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_947753_v1/ public [Algal consumption data: Tegula with Cancer productus as the predator] - Algal consumption data from Tegula in the presence of the predator Cancer productus, displaying anti-predatory responses or not within mesocosms at Bodega Marine Lab in 2018 (Trophic consequences of ocean acidification: Intertidal sea star predators and their grazer prey) To examine the impacts of fear removal on the strength of trophic cascades, we measured the amount of algae (Ulva spp.) consumed by Tegula funebralis that either displayed either an anti-predatory response to its predators, Pisaster ochraceus and Cancer productus, or ignored the predators. Additionally, we used two species of predators with differing consumption rates to test how predator traits might mediate the effect of removal on trophic cascade strength. The experiment was conducted within laboratory mesocosms at Bodega Marine Lab in 2018.\n\nThis dataset reports results for experiments with Cancer productus as the predator.  See \"Related Datasets\" section for results from the experiments with Pisaster ochraceus as the predator.\n\ncdm_data_type = Other\nVARIABLES:\nDate (unitless)\nContainers (unitless)\nCrab (unitless)\nSize (millimeters (mm))\nSex (unitless)\nTable (unitless)\nInitial (grams (g))\nFinal (grams (g))\nFinal_shift (grams (g))\nAlgae_consumed (grams (g))\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_947753_v1/index.htmlTable https://www.bco-dmo.org/dataset/947753 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_947753_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_947753_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_947753_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_947757_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_947757_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_947757_v1/ public [Algal consumption data: Tegula with Pisaster ochraceus as the predator] - Algal consumption data from Tegula in the presence of the predator Pisaster ochraceus, displaying anti-predatory responses or not within mesocosms at Bodega Marine Lab in 2018 (Trophic consequences of ocean acidification: Intertidal sea star predators and their grazer prey) To examine the impacts of fear removal on the strength of trophic cascades, we measured the amount of algae (Ulva spp.) consumed by Tegula funebralis that either displayed either an anti-predatory response to its predators, Pisaster ochraceus and Cancer productus, or ignored the predators. Additionally, we used two species of predators with differing consumption rates to test how predator traits might mediate the effect of removal on trophic cascade strength. The experiment was conducted within laboratory mesocosms at Bodega Marine Lab in 2018.\n\nThis dataset reports results for experiments with Cancer productus as the predator.  See \"Related Datasets\" section for results from the experiments with Pisaster ochraceus as the predator.\n\ncdm_data_type = Other\nVARIABLES:\ndate (unitless)\ntime_local (Time, unitless)\ntime (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\npisaster (unitless)\npisaster_size (unitless)\ncontainer (unitless)\nseatable (unitless)\nTreatment (unitless)\nsnail (unitless)\nstart (grams (g))\nend (grams (g))\nalgae_consumed (grams (g))\nDay (count (days))\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_947757_v1/index.htmlTable https://www.bco-dmo.org/dataset/947757 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_947757_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_947757_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_947757_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_929546_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_929546_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_929546_v1/ public [Algal Habitat Coverage] - Percent cover of algal habitat types on a by-transect and/or subsample basis recorded during emergent and rapid emergent surveys conducted in the subtidal zone of northern California, Sonoma and Mendocino counties, from 1999 to 2023 (Collaborative Research: The effects of marine heatwaves on reproduction, larval transport and recruitment in sea urchin metapopulations) The Kelp Forest Monitoring data record span surveys across 24 years from 1999 through 2023 at 20 locations on the Sonoma-Mendocino Coast, Northern California. Years without data, inclusive: 2002, 2020, 2021. These surveys are ongoing and are conducted by the California Department of Fish and Wildlife dive team with participation from dive program partners at UC Davis, UC Santa Cruz, Cal Poly Humboldt, Sonoma State and other dive programs and volunteers. Not all sites were surveyed in all years. Surveys prior to 2003 were not conducted by the same teams or with the same methods except that all surveys were done using Scuba along 30 x 2m transects randomly placed in the subtidal zone in rocky habitats dominated by bull kelp, Nereocystis luetkeana, forests. These randomly placed band transects surveys were stratified by depth (A=0-15, B=16-30, C=31-45, D=46-60 ft) as we know sea urchin and abalone populations differ by depth.\n\nData collected for algal habitat coverage from 17 years of those surveys (1999-2016) include quantification by percent coverage of six substrate/algal types: bare rock, canopy, encrusting, foliose, subcanopy, and turf. These data provide a baseline of algal coverage in the kelp forest before, during and after the major marine heatwave of 2014-2016 in northern California, Sonoma and Mendocino counties.\n\nAlgal composition in the subtidal has changed dramatically from the time before 2014 to post marine heatwave and sea urchin population explosion. The substrate is now dominated by encrusting algae including crustose coralline algae, Ralfsia, Hildenbrandia, and other fleshy crusts.\n\ncdm_data_type = Other\nVARIABLES:\nSurvey_Num (unitless)\nDFW_short_code (unitless)\nSiteName (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\nSurveyType (unitless)\nSurveyDate (unitless)\nYear (unitless)\n... (13 more variables)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_929546_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_929546_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_929546_v1/index.htmlTable https://www.bco-dmo.org/dataset/929546 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_929546_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_929546_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_929546_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_936073_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_936073_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_936073_v1/ public [Alkalinity and dissolved inorganic carbon (DIC) from water samples collected at coral reefs in the equatorial central Pacific in 1973, 2012, 2015, and 2018] - Alkalinity and dissolved inorganic carbon (DIC) from sea water samples collected at coral reefs from equatorial central Pacific in 1973, 2012, 2015, and 2018 (The Biophysics of Coral Reef Resilience:  hydrodynamic and ecological drivers of coral survival under extreme heat) This dataset includes total alkalinity (TA) and dissolved inorganic carbon (DIC), along with water temperature and salinity, to characterize the carbonate chemistry in the vicinity of 5 coral reef islands in the equatorial central Pacific. Discrete water samples were collected from June  7 – 18, 2012 and from September 5 – 26, 2015 at Kanton (2.8°S, 171.7°W), Enderbury (3.1°S, 171.1°W), Rawaki (3.7°S, 170.7°W) and Nikumaroro (4.7°S, 174.5°W), and from May 5 – 23, 2018 at Kanton, Rawaki, Nikumaroro, and Orona (4.5°S, 172.2°W) and at several open ocean sites. Some of the 2012 and 2015 water samples were also analyzed for nitrate, ammonium, phosphate and silicate concentrations.\nAlso included in this dataset are TA, pH, DIC, salinity, and water temperature from samples collected from November 27 to December 4, 1973 at Kanton Island by Smith, S. V., and P. L. Jokiel (1978).\n\ncdm_data_type = Other\nVARIABLES:\ntime (Datetime_utc, seconds since 1970-01-01T00:00:00Z)\nDatetime_local (unitless)\nlatitude (Lat_n, degrees_north)\nlongitude (Lon_e, degrees_east)\nSite_description (unitless)\ndepth (m)\nTemperature (degrees Celsius)\nSalinity (practical salinity unit, psu)\nTA (micromoles/kilogram)\nDIC (micromoles/kilogram)\nNitrate (micromoles/liter)\nAmmonium (micromoles/liter)\nAmmonium_flag (dimensionless)\nPhosphate (micromoles/liter)\nSilicate (micromoles/liter)\npH (unitless)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_936073_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_936073_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_936073_v1/index.htmlTable https://www.bco-dmo.org/dataset/936073 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_936073_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_936073_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_936073_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_925689_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_925689_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_925689_v1/ public [Allometric scaling of calcification for Mytilus californianus] - Allometric scaling of calcification data for Mytilus californianus from 2021-2022 (OA decoupling project) (Invertebrate calcification and behavior in seawater of decoupled carbonate chemistry) Calcification rates of mussels spanning a range of sizes. These data were used to determine a biomass scaling function for the main incubation dataset (Incubation data for Mytilus californianus calcification).\n\ncdm_data_type = Other\nVARIABLES:\nspecies (unitless)\nAphiaID (unitless)\nLSID (unitless)\ndate_local (unitless)\nstart_time_local (unitless)\nISO_Start_DateTime_UTC (unitless)\nduration (hours (h))\nsalinity (PSU)\ntemperature (degrees Celcius (c))\ncalcification (umol hr^-1 g^-0.71592)\ntissue_mass (grams (g))\nshell_mass (grams (g))\nwet_mass (grams (g))\nTA (umol kg-1)\nph (unitless)\ndo (umol kg-1)\nci (umol kg-1)\nincubation_water_mass (kilograms (kg))\nbyssal_threads (threads hr-1)\ndelta_ta (umol kg-1)\ndelta_nh3 (umol kg-1)\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_925689_v1/index.htmlTable https://www.bco-dmo.org/dataset/925689 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_925689_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_925689_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_925689_v1
log in [Alteromonas macleodii vesicle diameter obtained with Cryo-EM micrographs] - Alteromonas macleodii vesicle diameter measured during Cryo-EM micrograph experiment (Collaborative Research: Extracellular vesicles as vehicles for microbial interactions in marine Black Queen communities) The cyanobacterium Prochlorococcus has a conspicuously reduced genome causing it to require help from co-existing organisms for survival under a variety of stressful conditions. Here we showed that Alteromonas facilitated greater exploitation of medium resources by Prochlorococcus, allowing them to grow to greater cell densities, delay entry into stationary phase, and avoid cell death in batch co-cultures, potentially by degrading autotoxic substances produced in dense Prochlorococcus cultures. We further showed that heat-labile high-molecular weight exudates from Alteromonas were responsible for this effect. Alteromonas exudates contained a wide variety of proteins and demonstrated enzymatic activities, and both the composition and activity of the exudates changed after 500 generations of adaptation to a changed environment, suggesting some form of genetic regulation. Some of these proteins and activities may have been packaged within extracellular membrane vesicles, which we identified within Alteromonas exudates and found capable of physically associating with Prochlorococcus cells. Many of the functionalities observed in Alteromonas exudates (e.g., increasing phosphate availability, degrading hydrogen peroxide) were consistent with leaky Black Queen processes, which are defined as services provided by one organism that benefit the entire community and favor the evolution of interdependencies in microbial communities. This dataset contains manual measurements of extracellular vesicle diameters from Alteromonas macleodii obtained from cryo-electron micrographs. The images used for these measurements are also included in the supplemental material.\n\ncdm_data_type = Other\nVARIABLES:\nSample_ID (unitless)\nVesicle_number (unitless)\nLength_Angstroms (Angstroms (Å))\nLength_nm (Nanometers (nm))\nCorrected_Length_nm (Nanometers (nm))\n BCO-DMO bcodmo_dataset_986262_v1
log in [Alteromonas MIT1002 EV Transcriptome] - NCBI accession metadata for transcriptomic expression sequences from cultures of Alteromonas macleodii MIT1002 grown with bacterial extracellular vesicles as a carbon source (Collaborative Research: Quantifying the role of microbial extracellular vesicles in marine dissolved organic matter production and consumption) To examine how marine bacteria utilize extracellular vesicles as a nutrient source, we compared the transcriptomic response of Alteromonas macleodii MIT1002 cells grown on purified extracellular vesicles (purified from Alteromonas MIT1002 or Prochlorococcus MIT9312) as compared to glucose or a no-carbon control. Our study provides insights into the cellular mechanisms through which these cells may take up extracellular vesicle material and the specific types of molecules within vesicles that can be utilized for carbon and/or energy. \n\nThis dataset contains accession metadata for sequences run from cultures of Alteromonas macleodii MIT1002. Data were collected by Dr. Ashley Stein and Dr. Steven Biller, Wellesley College. The raw RNAseq reads have been deposited in the National Center for Biotechnology Information (NCBI) GEO database under accession GSE314643.\n\ncdm_data_type = Other\nVARIABLES:\nBiosample_ID (unitless)\nSRA_Experiment_ID (unitless)\nGEO_Sample_ID (unitless)\nBacterium (unitless)\nCarbon_Substrate (unitless)\nTimepoint (unitless)\nReplicate (unitless)\n BCO-DMO bcodmo_dataset_997637_v1
log in [Amazon isotopes POC CN] - Radiocarbon, stable carbon isotope and C/N composition of Amazon River particulate organic carbon (POC) from samples collected aboard the R/V Mirage in May of 2023 (Collaborative Research: What Happens to Terrestrial Organic Matter in the Ocean? Solving the Mystery Behind an Iconic Question) This dataset contains 48 samples of particulate organic carbon collected from the lower Amazon River from  May 4th-10th, 2023. The tabulated data include sample number, date, latitude, longitude, sample type, fraction modern radiocarbon (Fm), Δ14C, δ13C, and molar C/N ratio for suspended sediment, bedload, and bank/flood-deposit samples. Sampling was conducted at discrete sites along the lower Amazon mainstem and nearby depositional environments, so spatial coverage is variable rather than uniform. Samples were collected in the field and analyzed to determine radiocarbon content, stable carbon isotopic composition, and elemental stoichiometry in order to evaluate the sources, transport pathways, and age of riverine organic carbon. The dataset will be useful to investigators studying carbon cycling, sediment dynamics, and organic matter provenance in large tropical river systems, and it may contribute to broader studies of land-to-ocean carbon transfer. The data were collected and interpreted by the study investigators.\n\ncdm_data_type = Other\nVARIABLES:\nsample_number (unitless)\ndate (units)\nlatitude (degrees_north)\nlongitude (degrees_east)\nsample_type (unitless)\ndepth (m)\nFm (unitless)\nD14C (per mil (‰))\nd13C (per mil (‰))\nC_N (unitless)\n BCO-DMO bcodmo_dataset_1002805_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_936596_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_936596_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_936596_v1/ public [Amazon plume POC biomarkers] - Composition and concentration of individual biomarkers in particulate organic carbon collected during two cruises to the Amazon River plume during R/V Knorr cruise KN197-08 in 2010 and R/V Melville cruise MV1110 in 2011 (Amazon iNfluence on the Atlantic: CarbOn export from Nitrogen fixation by DiAtom Symbioses) These data include composition and concentration of individual biomarkers collected during two cruises to the Amazon River plume. Particulate organic carbon (POC) was collected in 2010 (high discharge) on a cruise aboard the R/V Knorr between 2010-05-23 and 2010-06-21, and in 2011 (low discharge) on a cruise aboard the R/V Melville between 2011-09-05 and 2011-10-06. Water was collected using CTD water sampling and particulate material was collected using 0.7 micrometer GF/F filters.\n\nThese data help to clarify the Amazon River plume's impact on the biological pump of the tropical Atlantic Ocean, consistent with a river plume fueling primary production, and with increased zooplankton and bacteria contributions to POC composition at depth and in the POC that is vertically exported. All POC samples were collected by Dr. Patricia Medeiros at the University of Georgia.\n\ncdm_data_type = Other\nVARIABLES:\nStation (unitless)\ndepth (m)\nCompound (unitless)\nConcentration (micrograms per gram organic carbon (ug g-1 OC))\nlatitude (degrees_north)\nlongitude (degrees_east)\nISO_DateTime_Local (unitless)\ntime (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_936596_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_936596_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_936596_v1/index.htmlTable https://www.bco-dmo.org/dataset/936596 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_936596_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_936596_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_936596_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_936369_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_936369_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_936369_v1/ public [Amazon plume trap biomarkers] - Composition and concentration of individual biomarkers collected by particle interceptor traps in the Amazon River plume during R/V Knorr cruise KN197-08 in 2010 and R/V Melville cruise MV1110 in 2011 (Amazon iNfluence on the Atlantic: CarbOn export from Nitrogen fixation by DiAtom Symbioses) These data include composition and concentration of individual biomarkers collected during two cruises to the Amazon River plume. Particulate organic carbon (POC) was collected in 2010 (high discharge) on a cruise aboard the R/V Knorr between 2010-05-23 and 2010-06-21, and in 2011 (low discharge) on a cruise aboard the R/V Melville between 2011-09-05 and 2011-10-06. POC sinking vertically from the surface ocean was collected using 12-polycarbonated tube free-floating surface-tethered particle interceptor traps, capturing ~1 to 3-days of accumulated sinking material. Then, the particulate material was collected using 0.7 micrometer GF/F filters.\n\nThese data help to clarify the Amazon River plume's impact on the biological pump of the tropical Atlantic Ocean, consistent with a river plume fueling primary production, and with increased zooplankton and bacteria contributions to POC composition at depth and in the POC that is vertically exported. Sediment trap collections were performed by Dr. William Berelson at the University of Southern California and POC samples were collected by Dr. Patricia Medeiros at the University of Georgia.\n\ncdm_data_type = Other\nVARIABLES:\nStation (unitless)\ndepth (m)\nCompound (unitless)\nConcentration (micrograms per gram organic carbon (ug g-1 OC))\nlatitude (degrees_north)\nlongitude (degrees_east)\nISO_DateTime_Local (unitless)\ntime (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_936369_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_936369_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_936369_v1/index.htmlTable https://www.bco-dmo.org/dataset/936369 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_936369_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_936369_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_936369_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_998972_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_998972_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_998972_v1/ public [Ampithoe valida population genetics] - Population genomics (RADseq-derived SNP genotypes) of the amphipod Ampithoe valida from collections in Japan, North America, and South America in 2015 (Detecting genetic adaptation during marine invasions) We clarified the cryptic diversity and introduction history of the marine amphipod Ampithoe valida by genotyping 10,295 single-nucleotide polymorphisms (SNPs) for 349 individuals from Japan, North America and Argentina. \n\nThis dataset includes metadata, methods, genetic accession identifiers, and links to published code and processed data used to generate figures for the results publication Harper et al. (2022, doi:10.1007/s10592-022-01452-8) titled \"Global distribution of cryptic native, introduced and hybrid lineages in the widespread estuarine amphipod Ampithoe valida.\"  Raw FASTQ files were contributed to the National Center for Biotechnology Information (NCBI)'s Sequence Read Archive (SRA) and are available under BioProject PRJNA825556.\n\ncdm_data_type = Other\nVARIABLES:\nBioProject (unitless)\nBioSample (unitless)\nsample_name (unitless)\nstrain (unitless)\nisolate (unitless)\ncollection_date (unitless)\ngeo_loc_name (unitless)\nAccession (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_998972_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_998972_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_998972_v1/index.htmlTable https://osprey.bco-dmo.org/dataset/998972 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_998972_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_998972_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_998972_v1
log in [Amplicon sequence variants (ASVs) and taxonomy of Pseudo-nitzschia spp.] - Amplicon sequence variants (ASVs) and taxonomy of Pseudo-nitzschia spp. from Narragansett Bay in Rhode Island, USA and the Northeast U.S. Shelf (NES-LTER transect) from 2018-2023 (Northeast U.S. Shelf Long Term Ecological Research site) This dataset includes amplicon sequence variants (ASVs) representing species of the harmful algal bloom diatom genus Pseudo-nitzschia that were sampled from various sites in Narragansett Bay, Rhode Island, including the Narragansett Bay Long Term Plankton Time Series site, and various stations along the Northeast U.S. Shelf Long Term Ecological Research program transect. These data correspond to an analysis of Pseudo-nitzschia species composition and domoic acid toxin production during winters and summers from 2018-2023 in Narragansett Bay and the Northeast U.S. Shelf, which was prepared for submission to Harmful Algae (Roche, et al.). ASVs are also available under NCBI GenBank Accession Numbers PQ002243 - PQ002350 and MW447658 - MW447770 and raw sequencing data is available under NCBI Sequence Read Archive Accession numbers associated with BioSample accessions SAMN42123204 - 42123391 within BioProject PRJNA1129077.\n\ncdm_data_type = Other\nVARIABLES:\nSpecies (unitless)\nAssignment_method (unitless)\nNCBI_GenBank_Accession_Number (unitless)\nGenbank_ASV_number (unitless)\nASV_seq (unitless)\nBioProject (unitless)\n BCO-DMO bcodmo_dataset_936849_v1
log in [AMT-30 iodine: depth profiles] - Iodine depth profile data collected from RRS Discovery cruise AMT-30 from February 23 - March 27th, 2023 (Collaborative Research: Experimental constraints on the rates and mechanisms of iodine redox transformations in seawater) This dataset includes the depth profile data described in the following study abstract (see \"Related Datasets\" for more data from this study):\n\nThe oxidized iodine species, iodate, is abundant in well-oxygenated marine waters and can be tracked in sediments to reconstruct ancient oxygen availability. Despite known modern marine spatial variations in both iodate and reduced iodide, the rates, pathways, and locations of iodate formation remain poorly understood for temporal gradients across Earth history. To quantify rates and pathways of iodate formation across an ocean basin, we performed ship-board tracer experiments in euphotic waters with known gradients in iodine speciation on an Atlantic Meridional Transect (45°S and 37°N). We performed incubations at depths corresponding to 7% and 1% of ambient surface light levels, thus tracking the boundaries of the deep chlorophyl maximum (DCM), from 11 stations along the transect. All incubations were spiked with a 129I (t1/2 ~15.7 My) tracer and mimicked ambient conditions. We observed iodate production via multiple pathways. The most common observation was a lack of significant iodate production, with iodate production limited to 7 of the 22 locations and nearly exclusively observed at the DCM and outside the nitrogen and iron limited South Atlantic Gyre. Iodate formation from direct iodide oxidation is inferred in only two locations based on increases in iodate 129I/127I ratios. At the other locations, decreases in iodate 129I/127I ratios imply that rapid reactions with and overturning of alternative natural iodine pools, likely iodine intermediates, are an important factor for iodate production. Our work emphasizes that the rates and pathways of iodate production are spatially heterogenous in the Atlantic Ocean. Future work is needed to determine the drivers, temporal variations, and trends within global ocean basins.\n\ncdm_data_type = Other\nVARIABLES:\nsample_ID (unitless)\nstation_number (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\nDate_Collected_AST (unitless)\nTime_Collected_AST (unitless)\n... (6 more variables)\n BCO-DMO bcodmo_dataset_970242_v1
log in [AMT-30 iodine: incubations] - Iodine incubation data collected from RRS Discovery cruise AMT-30 during February 23 - March 27th, 2023 (Collaborative Research: Experimental constraints on the rates and mechanisms of iodine redox transformations in seawater) This dataset includes the incubation data described in the following study abstract (see \"Related Datasets\" for more data from this study):\n\nThe oxidized iodine species, iodate, is abundant in well-oxygenated marine waters and can be tracked in sediments to reconstruct ancient oxygen availability. Despite known modern marine spatial variations in both iodate and reduced iodide, the rates, pathways, and locations of iodate formation remain poorly understood for temporal gradients across Earth history. To quantify rates and pathways of iodate formation across an ocean basin, we performed ship-board tracer experiments in euphotic waters with known gradients in iodine speciation on an Atlantic Meridional Transect (45°S and 37°N). We performed incubations at depths corresponding to 7% and 1% of ambient surface light levels, thus tracking the boundaries of the deep chlorophyl maximum (DCM), from 11 stations along the transect. All incubations were spiked with a 129I (t1/2 ~15.7 My) tracer and mimicked ambient conditions. We observed iodate production via multiple pathways. The most common observation was a lack of significant iodate production, with iodate production limited to 7 of the 22 locations and nearly exclusively observed at the DCM and outside the nitrogen and iron limited South Atlantic Gyre. Iodate formation from direct iodide oxidation is inferred in only two locations based on increases in iodate 129I/127I ratios. At the other locations, decreases in iodate 129I/127I ratios imply that rapid reactions with and overturning of alternative natural iodine pools, likely iodine intermediates, are an important factor for iodate production. Our work emphasizes that the rates and pathways of iodate production are spatially heterogenous in the Atlantic Ocean. Future work is needed to determine the drivers, temporal variations, and trends within global ocean basins.\n\ncdm_data_type = Other\nVARIABLES:\nsample_ID (unitless)\nstation_number (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\nlight_percent (percent (%))\nincubation_time (unitless)\n... (13 more variables)\n BCO-DMO bcodmo_dataset_970249_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_990939_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_990939_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_990939_v1/ public [Annual Colonization Experiment (ACE)] - Percent cover and density measurements of sessile and mobile intertidal species from an Annual Colonization Experiment (ACE) in the rocky intertidal zone, Oregon Coast from 2011 to 2023 (RAPID: Testing the rocky intertidal community consequences of the decimation of purple sea star populations along the Oregon coast by sea star wasting disease) This dataset contains percent cover and density measurements of species identified from photographs during the experiment described below. \n\nExperiment/Study abstract: \n\nWe tested the effects of predation, competition and facilitation on the annual colonization of rocky intertidal invertebrates from 2011-2023 at 6 sites along the Oregon coast. Mid zone factorial experiments testing the interactive effects of predation (primarily by whelks), competition, and facilitation on colonizers of annually cleared plots in the mid zone at core sites (ACE = Annual Colonization Experiment). The long-term goal was to determine if whelk-prey interactions varied with environmental change. Effects (interaction strengths) of each interaction were determined at the end of each experiment (fall of each year) by calculating the difference between cage controls and predator exclusion cages (predation effect, presumably by whelks in this mid-intertidal zone), exclusion cages with mussels removed after settlement (competition effect, primarily of mussels on barnacles), and exclusion cages with barnacles removed (facilitation effect of barnacles on mussels). ACE is now in its 14th year, and results through 2023 show that strengths of each of these interaction types have varied in space and time. The relative importance of interactions on prey abundance varied among types; facilitation by barnacles on mussels was the strongest effect, followed by predation effect of whelks on sessile invertebrates, with weak effects of competition between sessile invertebrates. Barnacle and mussel colonization rate was quantified using replicated marked plots that are cleared each spring prior to initiation of heavy settlement and then photographed in fall (October-December) after abatement of settlement and growth.\n\ncdm_data_type = Other\nVARIABLES:\nPhotoID (unitless)\nPlotID (unitless)\nSurveyID (unitless)\nProjectCode (unitless)\nState (unitless)\nRegion (unitless)\n... (31 more variables)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_990939_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_990939_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_990939_v1/index.htmlTable https://osprey.bco-dmo.org/dataset/990939 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_990939_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_990939_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_990939_v1
log in [Antarctic krill schooling: Coordinates for speed and nearest neighbor distances] - 3D coordinates to calculate speed and nearest neighbor distances in each trial of Antarctic krill in lab experiments at Palmer Station, Antarctica in November 2022. (Collaborative Research: Individual Based Approaches to Understanding Krill Distributions and Aggregations) Laboratory experiments were conducted on schools of Antarctic krill in the novel annular flume at Palmer Station, Antarctica, in November 2022.  Using overhead camera along with stereophotogrammetry system the swimming trajectories of krill were recorded while altering flow and light levels in the tank. \n\nThe purpose of the study is to understand how Antarctic krill schooling structure changes under environmental cues such as flow and light, with the hope that distribution of these important species can be predicted through knowledge of the environment in the wild. Southern Ocean ecologists, biologists, and oceanographers in general could benefit from this work. Kuvvat Garayev and David Murphy from University of South Florida were responsible for the collection and interpretation of data.\n\ncdm_data_type = Other\nVARIABLES:\ntrial (exp_id)\nburst (unitless)\nconsecutive_time_point (unitless)\nkrill_count (unitless)\nx (pixel units)\ny (pixel units)\nz (pixel units)\n BCO-DMO bcodmo_dataset_923530_v1
log in [Antarctic krill schooling: Rotation order parameters] - Rotation order parameters in each trial of Antarctic krill in lab experiments at Palmer Station, Antarctica in November 2022. (Collaborative Research: Individual Based Approaches to Understanding Krill Distributions and Aggregations) Laboratory experiments were conducted on schools of Antarctic krill in the novel annular flume at Palmer Station, Antarctica, in November 2022.  Using overhead camera along with stereophotogrammetry system the swimming trajectories of krill were recorded while altering flow and light levels in the tank. \n\nThe purpose of the study is to understand how Antarctic krill schooling structure changes under environmental cues such as flow and light, with the hope that distribution of these important species can be predicted through knowledge of the environment in the wild. Southern Ocean ecologists, biologists, and oceanographers in general could benefit from this work. Kuvvat Garayev and David Murphy from University of South Florida were responsible for the collection and interpretation of data.\n\ncdm_data_type = Other\nVARIABLES:\ndate (units)\nfile_name (unitless)\ntrial (unitless)\nflow (unitless)\nlight (unitless)\nkrill_density (krill/L)\nkrill_total (unitless)\nkrill_tracked (unitless)\nOr (unitless)\nimage (unitless)\nmean (unitless)\nstd (unitless)\nimage_file (unitless)\ncoordinate_file (unitless)\n BCO-DMO bcodmo_dataset_923518_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_918002_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_918002_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_918002_v1/ public [Antillogorgia americana Branch Variation] - Number and size of eggs found in five different branches from a single Antillogorgia americana from a study site in the San Blas Islands, Panama from July 1990 to August 1991 (Collaborative Research: Pattern and process in the abundance and recruitment of Caribbean octocorals) The reproductive biology of the branching octocoral Antillogorgia americana was studied at a site on the Caribbean coast of Panama in 1990-1991. Eleven colonies were tagged and monthly samples were collected over a 14-month period. Colonies were gonochoric and the samples included 6 females and 4 females. Ten polyps were examined from each sample and the number and size of gonads were determined.  An additional 4 branches were sampled from a female colony in January 1991 and fecundity was determined relative to the branch, position of branchlet on the branch, and position of the polyp on the branchlet. The lack of synchrony among colonies on the scale of months may reflect less need for all colonies to spawn in a single event among abundant species that release large numbers of gametes. Such a strategy also spreads the risk of reproductive failure due to environmental conditions during any single month. Multiple spawning episodes can also drive reproductive isolation of populations and may reflect the presence of cryptic species within the taxon. Studies of reproductive timing can be an important adjunct in identifying variation in life history strategies as well as assessing the validity of species boundaries. \n\nThis dataset describes branch variation, including the number and size of eggs found in five different branches from a single Antillogorgia americana. Ten polyps were sampled from four branchlets and two positions on the branchlets of each branch.\n\ncdm_data_type = Other\nVARIABLES:\nBranch (unitless)\nSide (unitless)\ntip_base (unitless)\nBranchlet (unitless)\npolyp (unitless)\ncount (unitless)\nAvgDiam (millimeters (mm))\nTotVol (cubic millimeters (mm^3))\nDiam1 (millimeters (mm))\nDiam2 (millimeters (mm))\nDiam3 (millimeters (mm))\n... (7 more variables)\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_918002_v1/index.htmlTable https://www.bco-dmo.org/dataset/918002 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_918002_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_918002_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_918002_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_918010_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_918010_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_918010_v1/ public [Antillogorgia americana Monthly Surveys] - Number and size of gonads found in monthly samples of Antillogorgia americana colonies at a study site in the San Blas Islands, Panama from July 1990 to August 1991 (Collaborative Research: Pattern and process in the abundance and recruitment of Caribbean octocorals) The reproductive biology of the branching octocoral Antillogorgia americana was studied at a site on the Caribbean coast of Panama in 1990-1991. Eleven colonies were tagged and monthly samples were collected over a 14-month period. Colonies were gonochoric and the samples included 6 females and 4 females. Ten polyps were examined from each sample and the number and size of gonads were determined.  An additional 4 branches were sampled from a female colony in January 1991 and fecundity was determined relative to the branch, position of branchlet on the branch, and position of the polyp on the branchlet. The lack of synchrony among colonies on the scale of months may reflect less need for all colonies to spawn in a single event among abundant species that release large numbers of gametes. Such a strategy also spreads the risk of reproductive failure due to environmental conditions during any single month. Multiple spawning episodes can also drive reproductive isolation of populations and may reflect the presence of cryptic species within the taxon. Studies of reproductive timing can be an important adjunct in identifying variation in life history strategies as well as assessing the validity of species boundaries. \n\nThis dataset includes the number and size of gonads found in monthly samples of each of 11 A. americana colonies.\n\ncdm_data_type = Other\nVARIABLES:\nSex (unitless)\nColony (unitless)\nMonth (unitless)\nYear (unitless)\nPolyp (unitless)\nNumber (unitless)\nAvg_diam (micrometers (um))\nVolume (cubic millimeters (mm^3))\nN_GE_400 (unitless)\nDiam1 (micrometers (um))\nDiam2 (micrometers (um))\nDiam3 (micrometers (um))\n... (4 more variables)\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_918010_v1/index.htmlTable https://www.bco-dmo.org/dataset/918010 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_918010_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_918010_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_918010_v1
log in [Apostichopus californicus 16S rRNA V4 Sequences] - 16S rRNA V4 sequence metadata from Apostichopus californicus-associated flavivirus experiment under suboxic conditions and organic matter amendment (Exploring the role of boundary layer microbial remineralization in flavivirus-host dynamics) Microbial activities at the animal-water interface are hypothesized to influence viral replication and possibly contribute to pathology of echinoderm wasting diseases due to hypoxic stress. We assessed the impacts of enhanced microbial production and suboxic stress on Apostichopus californicus (urn:lsid:marinespecies.org:taxname:529363) associated flavivirus (PcaFV) load in a mesocosm experiment. This dataset contains 16S rRNA V4 amplicon sequencing metadata for this experiment. Organic matter amendment and suboxic stress resulted in lower PcaFV load, which also correlated negatively with animal mass loss and microbial activity at the animal-water interface. These data suggest that PcaFV replication and persistence was best supported in healthier specimens. Our results do not support the hypothesis that suboxic stress or microbial activity promote PcaFV replication, but rather that PcaFV appears to be a neutral or beneficial symbiont of Apostichopus californicus.\n\ncdm_data_type = Other\nVARIABLES:\nsample_name (unitless)\nbioproject_accession (unitless)\nbiosample (unitless)\norganism (unitless)\nspecimen_collection_date (unitless)\nswab_collection_date (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\nenv_broad_scale (unitless)\nenv_local_scale (unitless)\nenv_medium (unitless)\ngeo_loc_name (unitless)\nhost (unitless)\nhost_subject_id (unitless)\nreplicate_ID (unitless)\nhost_tissue_sampled (unitless)\nhost_NCBI_taxid (unitless)\nAphiaID (unitless)\nLSID (unitless)\n BCO-DMO bcodmo_dataset_984835_v1
log in [April 2018 Slover cruise data] - Adenosine triphosphate and microbial biomass measurements from the Chesapeake Bay, sampled aboard RV Fay Slover on April 11, 2018 (Adenosine triphosphate as a master variable for biomass in the oceanographic context) This dataset contains values from instruments and Niskin bottle samples from a research expedition on the RV Slover on April 11, 2018. Six stations were sampled with five bottle samples each from the coastal ocean to tributaries of the Chesapeake Bay. The variables are latitude, longitude, station number, depth, sigma-t, beam attenuation, relative chlorophyll fluorescence, salinity, temperature, total ATP (dissolved and particulate), carbon of prokaryotic microbes (microscope estimates), and carbon of eukaryotic microbes (microscope estimates).\n\ncdm_data_type = Other\nVARIABLES:\nDate (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\nstation (unitless)\ndepth (m)\nATPtot (unitless)\nProkaryote_carbon_fg_ml (femtogram/ml)\nEukayote_carbon_fg_ml (femtogram/ml)\ntemperature_Celsius (degrees Celsius (°C))\nchlorophyll_rfu (relative fluorescence units)\nbeamc (m-1)\nsalinity_psu (psu)\nsigma_t (unitless)\n BCO-DMO bcodmo_dataset_939970_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_994268_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_994268_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_994268_v1/ public [April 2024 Slover cruise data] - CTD data and particulate organic carbon, particulate organic nitrogen, and adenosine triphosphate from Niskin bottle samples collected along the coastal ocean off Virginia Beach into the Chesapeake Bay aboard RV Fay Slover on April 1, 2024 (Adenosine triphosphate as a master variable for biomass in the oceanographic context) CTD data and Niskin bottle samples were collected and analyzed for particulate organic carbon (POC), particulate organic nitrogen (PON), and adenosine triphosphate. Samples were taken at five stations and six depths during a one-day transect from the coastal ocean off Virginia Beach into the Chesapeake Bay on April 1, 2024 conducted on R/V Fay Slover.\n\ncdm_data_type = Other\nVARIABLES:\nStation (unitless)\ndepth (m)\nLon (degrees_east)\nlongitude (degrees_east)\nLat (degrees_north)\nlatitude (degrees_north)\ntime_unitless (Time, unitless)\nDate (unitless)\nISO_DateTime_EDT (unitless)\ntime (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\nJulian_Days (decimal days)\nAttenuance (m-1)\nConductivity (Siemens m-1)\nSigma_theta (sigma-theta)\nSalinity (practical salinity unit)\nPotential_Temperature (degrees Celsius)\nTransmission (percent (%))\nFluorescence (relative fluorescence units)\nAttenuance_voltage (instrument voltage)\nDepth2 (m)\nVolume_filtered_POC_PON (milliliters)\nPOC_mg_L (milligrams per liter (mg L-1))\nPON (milligrams per liter (mg L-1))\nC_N_ratio (unitless (ratio))\n... (7 more variables)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_994268_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_994268_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_994268_v1/index.htmlTable https://osprey.bco-dmo.org/dataset/994268 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_994268_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_994268_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_994268_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_962251_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_962251_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_962251_v1/ public [Aquatic Eddy Covariance Processed Measurements] - Processed aquatic eddy covariance measurements collected under hypoxic conditions from seven eddy covariance lander deployments made during summer cruises on the Oregon and Washington mid-shelf in 2018 and 2022 (Environmental consequences of expanded recruitment of an ecosystem engineer on a hypoxia-influenced continental shelf) This dataset includes time-series measurements from seven eddy covariance lander deployments made on the Oregon or Washington continental shelf at mean water depths ranging from 68-84 m in 2018 and 2022. Average dissolved oxygen concentrations during these deployments ranged from 17-75 micro moles per liter allowing assessments of benthic oxygen fluxes under hypoxic or near-hypoxic conditions. Reported are the sensor measurements of velocities (xyz coordinates), dissolved oxygen, and pressure processed and reduced by averaging to 8 Hz by Dr. Clare E. Reimers from Oregon State University.\n\ncdm_data_type = Other\nVARIABLES:\nElapsed_time (seconds)\nVelocity_x (cm/s)\nVelocity_y (cm/s)\nVelocity_z (cm/s)\nDissolved_oxygen (micromoles/L)\nPressure (db)\nMatlab_Datenumber_Local (unitless)\nBurst (unitless)\ntime (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\nCruise (unitless)\nSt_ID (unitless)\nDeployment (unitless)\nOxy_sensor (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\nHeading (degrees)\nPitch (degrees)\nRoll (degrees)\nHeight (cm)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_962251_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_962251_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_962251_v1/index.htmlTable https://osprey.bco-dmo.org/dataset/962251 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_962251_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_962251_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_962251_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_965379_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_965379_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_965379_v1/ public [Arctic Bacterial Genomes] - Under the ice bacterial cultures and genome sequences from the R/V Kronprins Haakon in the Arctic Ocean from May 18 to 21, 2023 (Collaborative Research: Drivers and effects of latent phage activation in marine SAR11) Bacteria were cultured and sequenced from the Arctic Ocean under 2-meter-thick sea ice to identify patterns of gene, loss, and rearrangement. Cultures were obtained by high-throughput dilution to extinction cultivation using cryopreserved samples. Bacteria selected for genome sequencing were grown in 1 liter of Puget Sound seawater media and sequenced using the Oxford Nanopore Technologies (ONT) R10.4.1 Flongle flow cells with the SQK-RAD114 rapid library prep kit (Oxford Nanopore Technologies, Oxford, United Kingdom). Time-series data indicate that this collection represents up to 60% of the marine bacterial community in the Arctic. Their complete genomes provide insights into the evolutionary processes that underlie diversity and adaptation to the Arctic Ocean.\n\ncdm_data_type = Other\nVARIABLES:\nisolate (unitless)\nDate (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\nid (unitless)\ngenome_length (number of nucleotides)\nsequencing_covearge (unitless)\npcnt_gc (unitless)\ncoding_ratio (unitless)\nrRNA (unitless)\ngenome_accession (unitless)\nbioproject (unitless)\nbiosample (unitless)\nsequence_read_archive (unitless)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_965379_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_965379_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_965379_v1/index.htmlTable https://osprey.bco-dmo.org/dataset/965379 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_965379_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_965379_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_965379_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_949773_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_949773_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_949773_v1/ public [Argyle Creek temperatures (HOBO) from inside mussel bed] - Argyle Creek temperatures (HOBO) from inside mussel bed (Collaborative Research: Microscale interactions of foundation species with their fluid environment: biological feedbacks alter ecological interactions of mussels) This dataset includes water temperature data measured at 30 minute intervals in a mytilid mussel bed (Mytilus spp.) by a HOBO Pendant MX logger (MX2201, Onset Computer Corporation, Bourne, MA). The site was located at Argyle Creek on San Juan Island, WA, USA from 2019 to 2024.\n\ncdm_data_type = Other\nVARIABLES:\ntime (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\nISO_Datetime_PST (unitless)\nLocation (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\nWater_Temp (degrees Celcius (degC))\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_949773_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_949773_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_949773_v1/index.htmlTable https://www.bco-dmo.org/dataset/949773 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_949773_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_949773_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_949773_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_1004881_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_1004881_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_1004881_v1/ public [ARTEMIS DNA Metadata] - Niskin bottle metadata and environmental measurements associated with bacterial DNA samples collected from RVIB Nathaniel B. Palmer cruise NBP 22-02 in the Amundsen Sea Embayment from January to March 2022 (NSFGEO-NERC: Collaborative Research: Accelerating Thwaites Ecosystem Impacts for the Southern Ocean (ARTEMIS)) This dataset provides water column environmental data for a study that explored the relationships between glacial meltwater-modified ocean circulation, iron supply, and pelagic bacterial community structure in the Amundsen Sea polynya (ASP), Antarctica. Onboard the RVIB Nathaniel B. Palmer, cruise NBP 22-02, January–March 2022, we examined particle-associated (3-micrometer (µm) polycarbonate pre-filter) and free-living (0.2 µm Durapore filter) bacterial 16S rRNA in seawater from 21 stations (at depths from 2 to 1271 meters (m)) in the context of a suite of ocean observations along the \"iron conveyor belt.\" This key circulation pathway follows Circumpolar Deep Water cascading from the Antarctic Circumpolar Current, along the bottom of the fore-deepened continental shelf toward the deep ice shelf cavity, where it melts the base of the ice shelf, then buoyantly upwells via meltwater entrainment, and delivers iron-rich waters to the surface waters of the polynya. A coastal current also transports this and other meltwater-rich outflows from east to west, and may play an important role in fueling ecosystem production. We were able to sample key water masses: Antarctic Surface Water (AASW), Winter Water (WW), Circumpolar Deep Water (CDW), and modified/mixed variants. Measured environmental parameters in this dataset are CTD variables (temperature, salinity, pressure, dissolved oxygen, beam transmissivity, fluorescence), macronutrients (nitrate, nitrite, ammonium, phosphate), lab chlorophyll a, micronutrient dissolved iron, δ¹⁸O, and calculated meltwater fractions. Results from this dataset, combined with 16S rRNA amplicon data, revealed distinct bacterial communities, characterized by location within the ASP, suggesting community succession along the route.\n\ncdm_data_type = Other\nVARIABLES:\nSample_ID (unitless)\nARTEMIS_ID (unitless)\nStation (unitless)\nEvent (unitless)\nCTD (unitless)\nNISKIN (unitless)\nDate (unitless)\nVolumeFiltered_L (liters)\nFilterDiameter_mm (millimeters)\n... (31 more variables)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_1004881_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_1004881_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_1004881_v1/index.htmlTable https://osprey.bco-dmo.org/dataset/1004881 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_1004881_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_1004881_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_1004881_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_1001499_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_1001499_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_1001499_v1/ public [ASPIRE Upper Water Column Inventories] - Biogeochemical inventories in the upper water column of the Pacific sector of the coastal Antarctic as measured on the Amundsen Sea Polynya International Research Expedition (ASPIRE) during December 2010 to January 2011 (Amundsen Sea Polynya International Research Expedition) Polynyas, or recurring areas of seasonally open water surrounded by sea ice, are foci for energy and material transfer between the atmosphere and the polar ocean. They are also climate sensitive, with both sea ice extent and glacial melt influencing their productivity. The Amundsen Sea Polynya (ASP) is the greenest polynya in the Southern Ocean, with summertime chlorophyll a concentrations exceeding 20 micrograms per liter. During the Amundsen Sea Polynya International Research Expedition (ASPIRE) in the austral summer of 2010–11, we aimed to determine the fate of this high algal productivity. We collected water column profiles for total dissolved inorganic carbon (DIC) and nutrients, particulate and dissolved organic matter, chlorophyll a, mesozooplankton, and microbial biomass to make a carbon budget for this ecosystem. We also measured primary and secondary production, and community respiration rates. These data were reported as contour plots in Figures 5 through 10 of Yager et al. 2016 (doi: 10.12952/journal.elementa.000140).\n\ncdm_data_type = Other\nVARIABLES:\nStation (unitless)\nEvent (unitless)\nCast (unitless)\nDate (unitless)\nYear_Day (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\nASP_num (unitless)\ndepth (m)\nPoten_Temp (degrees C)\nSalinity (unitless)\nDIC (micromoles C per liter (µmol C per L))\nDIN (micromoles N per liter (µmol N per L))\nDIP (micromoles P per liter (µmol P per L))\nPOC (micromoles C per liter (µmol C per L))\nPON (micromoles N per liter (µmol N per L))\nPart_P (micromoles P per liter (µmol P per L))\n... (12 more variables)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_1001499_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_1001499_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_1001499_v1/index.htmlTable https://osprey.bco-dmo.org/dataset/1001499 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_1001499_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_1001499_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_1001499_v1
log in [AT50-12 IC Data] - Porewater geochemical data from sediment pushcores collected from Southern California Seeps in July 2023 on R/V Atlantis cruise AT50-12 (Collaborative Research: Redefining the footprint of deep ocean methane seepage for benthic ecosystems) This dataset provides geochemical data (major ions) for porewaters from sediment pushcores collected by DSV Alvin from the R/V Atlantis in July 2023 (AT50-12) at methane seeps in the Southern California Borderlands, California, USA. Cores were sectioned into 1-3 centimeter (cm) horizons, and porewater was extracted shipboard using an argon-pressurized squeezer. Porewater samples were frozen at sea and thawed just before analysis. We report concentrations of fluoride, acetate, formate, chloride, bromide, nitrate, sulfate, thiosulfate, and phosphate anions and lithium, sodium, potassium, magnesium, and calcium cations. Measurements were made using the Thermo Dual Dionex Integrion HPIC ion chromatography system with either a 250 millimeter (mm) Dionex IonPac AS19-4 micrometer (um) column (anions) or a 250 mm Dionex IonPac CS16-4um column (cations), in the Resnick Water and Environment Laboratory at the California Institute of Technology (Caltech).\n\ncdm_data_type = Other\nVARIABLES:\nserial (unitless)\nFluoride (millimolar (mM))\nAcetate (millimolar (mM))\nFormate (millimolar (mM))\nChloride (millimolar (mM))\nBromide (millimolar (mM))\nNitrate (millimolar (mM))\nSulfate (millimolar (mM))\nThiosulfate (millimolar (mM))\nPhosphate (millimolar (mM))\nLithium (millimolar (mM))\nSodium (millimolar (mM))\nAmmonium (millimolar (mM))\nPotassium (millimolar (mM))\nMagnesium (millimolar (mM))\nCalcium (millimolar (mM))\npH (unitless)\n... (9 more variables)\n BCO-DMO bcodmo_dataset_986669_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_986675_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_986675_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_986675_v1/ public [AT50-24 IC Data] - Geochemical data from sediment pushcore porewaters and water column Niskin samples collected from Gulf of Alaska, Alaska, USA, in June 2024 on R/V Atlantis cruise AT50-24 (Collaborative Research: Redefining the footprint of deep ocean methane seepage for benthic ecosystems) This dataset provides geochemical data (major ions) for porewaters from sediment pushcores collected by DSV Alvin from the R/V Atlantis in June 2024 (AT50-24) at methane seeps in the Aleutian Trench, Alaska, USA. Also included is geochemical data (major ions) for water samples collected by Niskin bottle, both via DSV Alvin and via CTD cast from the ship. Cores were sectioned into 1-3 centimeter (cm) horizons, and porewater was extracted shipboard using an argon-pressurized squeezer. Porewater samples were frozen at sea and thawed just before analysis. We report concentrations of fluoride, acetate, formate, chloride, bromide, nitrate, sulfate, thiosulfate, and phosphate anions and lithium, sodium, potassium, magnesium, and calcium cations. Measurements were made using the Thermo Dual Dionex Integrion HPIC ion chromatography system with either a 250 millimeter (mm) Dionex IonPac AS19-4 micrometer (um) column (anions) or a 250 mm Dionex IonPac CS16-4um column (cations), in the Resnick Water and Environment Laboratory at the California Institute of Technology (Caltech).\n\ncdm_data_type = Other\nVARIABLES:\nserial (unitless)\nFluoride (millimolar (mM))\nAcetate (millimolar (mM))\nFormate (millimolar (mM))\nChloride (millimolar (mM))\nBromide (millimolar (mM))\nNitrate (millimolar (mM))\nSulfate (millimolar (mM))\nThiosulfate (millimolar (mM))\nPhosphate (millimolar (mM))\nLithium (millimolar (mM))\nSodium (millimolar (mM))\nAmmonium (millimolar (mM))\nPotassium (millimolar (mM))\nMagnesium (millimolar (mM))\nCalcium (millimolar (mM))\n... (11 more variables)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_986675_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_986675_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_986675_v1/index.htmlTable https://osprey.bco-dmo.org/dataset/986675 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_986675_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_986675_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_986675_v1
log in [Atlantic dog whelk (Nucella lapillus) genome] - DRAFT: Annotated genome of the Atlantic dog whelk, Nucella lapillus (Local adaptation and the evolution of plasticity under predator invasion and warming seas: consequences for individuals, populations and communities) Nucella lapillus has been a focal organism of ecological and evolutionary studies on rocky shores for decades. As a direct developer, this species has limited dispersal but is broad geographic range makes it ideal for studies of population structure, isolation by distance, and selection across different environmental gradients.  The fully annotated genome generated ~37X coverage and the genome assembly is 2.32 Gbp. Genomic resources for mollusks are relatively limited compared to other phyla and this new genome will enhance our understanding of genomic variation in mollusks and studies seeking to link genomic variation with organismal performance and community-level processes under various dimensions of environmental change.\n\ncdm_data_type = Other\nVARIABLES:\nBioProject (unitless)\nSampling_Date (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\nHabitat (unitless)\nSpecimen_type (unitless)\nSpecies (unitless)\nTaxon_IDs (unitless)\nTissue_type (unitless)\nGenBank_Assembly (unitless)\nIsolate (unitless)\nAccession (unitless)\nBegin (base pair (bp))\nEnd (base pair (bp))\nOrientation (unitless)\nGene_ID (unitless)\nGene_Type (unitless)\nProtein_accession (unitless)\nProtein_length (amino acids (aa))\nLocus_tag (unitless)\n BCO-DMO bcodmo_dataset_991343_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_908373_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_908373_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_908373_v1/ public [Atlantic Sediment Black Carbon] - Atlantic sediment black carbon, total organic carbon, and stable carbon ratio (13C) values from samples collected using a multi-corer and box corer from multiple cruises throughout the Atlantic between 1994 and 2010 (Concentrations and source assessment of black carbon across tropical Atlantic air and sediment) These data include sediment black carbon and total organic carbon concentrations and stable carbon ratio (13C) values. These data were collected on multiple cruises in throughout the Atlantic; specifically, in the Amazon Delta (EN-480; July 2010), Sierra Leone Rise (EN-481; August 2010), Niger Delta (GeoB 4901, GeoB 4903, GeoB 4904, GeoB 4905, GeoB 4907, and GeoB 4908; February/March 1998), Senegal Delta (GeoB 9501; April/May 2003), and Northwest Argentina Basin (GeoB 2814; July/August 1994). Sediments were collected using multi-corer and box corer samples and kept frozen until analysis.\n\nTotal organic carbon and black carbon concentrations and stable carbon ratio values were determined on an isotope ratio mass spectrometer coupled to an elemental analyzer. The black carbon fraction was determined using the chemothermal oxidation at 375°C method. These data help better constrain pyrogenic carbon accumulation rates into Atlantic sediments.\n\nThese data were published in St.Laurent, et al. (2023).\n\ncdm_data_type = Other\nVARIABLES:\nSite (unitless)\nDepth_Interval (cenitmeters below seafloor (cmbsf))\nDate (unitless)\nLat (degrees_north)\nlongitude (degrees_east)\nTotal_Organic_Carbon (percent (%))\nBlack_Carbon (percent (%))\nd13C_Total_Organic_Carbon (per mil (0/00))\nd13C_Black_Carbon (per mil (0/00))\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_908373_v1/index.htmlTable https://www.bco-dmo.org/dataset/908373 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_908373_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_908373_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_908373_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_854887_v1 https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_854887_v1/ public [Atlantic silverside RNA-seq reads] - Sample and genetic accession information for RNA-seq data from whole Atlantic silverside (Menidia menidia) larvae from two populations and their F1 hybrids reared under different temperatures in 2017 (Collaborative research: The genomic underpinnings of local adaptation despite gene flow along a coastal environmental cline) Sample and genetic accession information for RNA-seq data from whole Atlantic silverside (Menidia menidia) larvae from two populations and their F1 hybrids. Larvae were reared under two different temperatures to study temperature-dependent gene regulatory divergence between locally adapted Atlantic silverside populations in 2017. \n\nThe data are deposited in the National Center for Biotechnology Information (NCBI) Sequence Read Archive (SRA) with accession numbers SRR13523227- SRR13523268 associated with BioProject PRJNA694674 and BioSamples SAMN17531688 - SAMN17531729.\n\ncdm_data_type = Other\nVARIABLES:\nBioProject (unitless)\nBioSample (unitless)\nSample_name (unitless)\nSRA (unitless)\ntaxonomy_id (unitless)\ntaxonomy_name (unitless)\necotype (unitless)\ndev_stage (unitless)\nsex (unitless)\ntissue (unitless)\nsample_type (unitless)\ncross (unitless)\ntreatment (degrees Celsius)\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_854887_v1/index.htmlTable https://www.bco-dmo.org/dataset/854887 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_854887_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_854887_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_854887_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_915289_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_915289_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_915289_v1/ public [Atmospheric pO2 data] - SOS-Argo floats: atmospheric pO2 data acquired in different ocean basins between May 2012 and July 2023 (The Biological Pump in the Eastern Equatorial Pacific: in situ measurements of Oxygen and Nitrate) This dataset contains data from Argo floats deployed by the Emerson group at the University of Washington between May 2012 and July 2023.  \n\nThe name SOS-Argo stands for “Special Oxygen Sensor Argo” Floats.  These floats have standard Argo sensors for hydrostatic pressure, temperature, and salinity in addition to an Aanderaa oxygen sensor  (optode) installed on a 61 cm stalk above the end cap of the float.  The tall stalk allows the float to make atmospheric pO2 measurements uncontaminated by surface waters while the float is at the surface during data transfer to shore. The atmospheric pO2 data are used for in situ calibration of the O2 sensor against atmospheric pO2.\n\ncdm_data_type = Other\nVARIABLES:\nFloat (unitless)\nFloat_Profile (unitless)\nMatlab_Time (unitless)\nExcel_Time (unitless)\nlongitude (degrees_east)\nLatitude (degrees_north)\nO2_tphase (degrees)\nO2_temp (degrees Celsius (C))\nMatlab_time_HumanReadable (unitless)\nO2_optode (atmospheres (atm))\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_915289_v1/index.htmlTable https://www.bco-dmo.org/dataset/915289 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_915289_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_915289_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_915289_v1
log in [Autonomous pH] - Autonomous pH data from Narragansett Bay collected in 2022 and 2023 (Drivers of ocean acidification in a temperate urbanized estuary undergoing nutrient loading reductions) This dataset contains pH data autonomously collected as part of the study described below. See the \"Related Publications\" sections for more datasets from this study.\na\nStudy description:\n\nThe increase in atmospheric carbon dioxide (CO2) over the last 200 years has largely been mitigated by the ocean's function as a carbon sink. However, this continuous absorption of CO2 by seawater triggers ocean acidification (OA), a process in which water becomes more acidic and more depleted in carbonate ions that are essential for calcifiers. OA is well-studied in open ocean environments; however, understanding the unique manifestation of OA in coastal ecosystems presents myriad challenges due to considerable natural variability resulting from concurrent and sometimes opposing coastal processes--e.g. eutrophication, changing hydrological conditions, heterogeneous biological activity, and complex water mass mixing. This study analyzed high temporal resolution pH data collected during 2022 and 2023 from Narragansett Bay, RI--a mid-sized, urban estuary that since 2005 has undergone a 50% reduction in nitrogen loading\\textemdash with weekly, discrete bottle samples to verify sensor data. We used autonomous data for pH, temperature, salinity, and dissolved oxygen from 4 sensors in Narragansett Bay. The autononous data spanned over a year from 2022 to mid-2023 and had temporal resolutions between 10 and 15 minutes. The data have been subjected to QA/QC protocols, such that all pH measurements are final and quality controlled. As well, pH values normalized to 15°C (using PyCO2SYS) are included. All pH values are in total scale.\n\nAdditionally, data from discrete samples have been provided. Discrete samples were taken weekly at the Narragansett Bay Long Term Phytoplankton Time Series site and monthly from Greenwich Bay, collocated with 2 of the sensors. Discrete data were analyzed in lab for dissolved inorganic carbon and total alkalinity, and include in situ temperature and salinity.\n\ncdm_data_type = Other\nVARIABLES:\nSite (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\n... (6 more variables)\n BCO-DMO bcodmo_dataset_961920_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_954735_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_954735_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_954735_v1/ public [Autotrophy, heterotrophy, and niche partitioning in Caribbean sponges] - Autotrophy, heterotrophy and niche partitioning in Caribbean sponges sampled June 9, 2019 on reef sites around Bocas del Toro Panama. (Collaborative Research: Investigations into microbially mediated ecological diversification in sponges) Photosymbionts expand the metabolic capabilities of host sponges, but their potential role in mediating niche partitioning on crowded and oligotrophic coral reefs is unknown. To address this question, we conducted two ex situ isotope tracer experiments with ten of the most ecologically dominant sponge species in the Caribbean. This research was carried out in Bocas del Toro, Panama. To target autotrophic and heterotrophic nutrient acquisition by microbial symbionts, we incubated sponges in seawater laced with the inorganic compounds NaH13CO3 and Na15NO3 under both light and dark conditions. We also measured host sponge heterotrophic feeding rates by incubating the same species with 13C- and 15N-labeled bacterial cells. Sponge cells isolated from sponge species hosting photosymbionts were significantly more enriched in 13C and 15N from inorganic sources, and 72 % of the variation in 13C and 15N enrichment across samples was explained by sponge species identity. Dark enrichment of 13C was minimal, but all species were enriched in 15N in the dark due to heterotrophic microbial nitrogen assimilation. Sponges rapidly consumed bacterial cells, but there was substantial variation in heterotrophic feeding rates among sponge species. When considering all three resource pools (symbiont autotrophy, symbiont heterotrophy, and sponge heterotrophy) and both elements, sponge species identity accounted for over 80 % of variation among specimens; in addition, we observed a clear separation of sponge species along a continuum of heterotrophic feeding on particulate organic matter to autotrophic metabolism via photosymbionts. These data demonstrate that the combined influence of sponge and photosymbiont metabolism enable coexisting sponge species to exploit unique resource pools on Caribbean reefs.\n\ncdm_data_type = Other\nVARIABLES:\nSpecies (unitless)\nFull_scientific_name (unitless)\nDate (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\nReplicate (unitless)\nFraction (unitless)\nInitial_d15N (permille ( ‰))\nInitial_wt_percN (percentage (%))\n... (30 more variables)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_954735_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_954735_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_954735_v1/index.htmlTable https://osprey.bco-dmo.org/dataset/954735 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_954735_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_954735_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_954735_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_644012_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_644012_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_644012_v1/ public [AUV_MontereyBay_Makai_CTD] - Autonomous Underwater Vehicle Monterey Bay Time Series - AUV Makai CTD (Center for Microbial Oceanography: Research and Education) Autonomous Underwater Vehicle Monterey Bay Time Series - AUV Makai CTD\n\ncdm_data_type = Other\nVARIABLES:\ntime (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\nlatitude (degrees_north)\nlongitude (degrees_east)\ndepth (m)\ntemp (degrees Celsius)\nsal (dimensionless)\nchl_a_fluor (micrograms/liter)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_644012_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_644012_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_644012_v1/index.htmlTable https://www.bco-dmo.org/dataset/644012 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_644012_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_644012_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_644012_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_919977_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_919977_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_919977_v1/ public [B. elegans cold water coral lab culture:  Artemia] - Data for Artemia fed to corals (Balanophyllia elegans) during a culture experiment conducted to evaluate the relationship between coral diet and tissue nitrogen isotopic ratio from 2019 to 2021 (Collaborative Research: Refining the use of scleractinian cold-water coral skeleton-bound d15N as a proxy for marine N cycling) Data for the Artemia fed to corals during a culture experiment conducted to evaluate the relationship between coral diet and tissue nitrogen isotopic ratio. These data were collected as part of the following study:\n\nData collected as part of this study include nitrogen isotope ratio data for coral tissue and skeleton of the scleractinian cold-water coral Balanophyllia elegans collected at Friday Harbor, WA. Data was collected between March 2019 and August 2021. These data include paired measurements of the N isotope ratio (d15N) of coral tissue and skeleton. Tissue was measured using and Elemental Analyzer (EA)-coupled Isotope Ratio Mass Spectrometer (IRMS) and skeleton samples were first dissolved and organic nitrogen was oxidized to nitrate with persulfate before being run on a GC-IRMS with the denitrifier method. These data also include the results of two culture experiments with the same species of corals. The corals in the first culture experiment were fed Artemia diets with different known d15N in order to quantify change in the tissue d15N in response to a change in the food source and to determine the offset in d15N between the coral tissue and its diet. The starvation trial culture experiment was conducted to evaluate the effects of starvation on the d15N of coral tissue. For both experiments coral tissue was analyzed using an EA-IRMS. This data also includes the d15N of the respective Artemia diets. Finally, included in this data is hydrological and particulate matter data collect at the site the corals were collected (near Friday Harbor, WA). This data includes nitrate d15N and d18O, suspended particulate organic matter d15N, net tow material d15N, and data collected from a CTD profiler. This data enhances the understanding of cold-water coral diet and trophic position. This data improves the understanding of the relationship between surface nitrate d15N and the d15N recorded in the coral skeleton which is useful for enhancing the resolution of coral d15N paleoproxies.\n\ncdm_data_type = Other\nVARIABLES:\nArtemia_Strain (unitless)\nExperimental_group_color (unitless)\nLocation_collected (unitless)\nmeasurement_date (unitless)\nContent (unitless)\nd13C (permil (0/00))\nd15N (permil (0/00))\nMolar_C_to_N_ratio (unitless)\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_919977_v1/index.htmlTable https://www.bco-dmo.org/dataset/919977 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_919977_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_919977_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_919977_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_920001_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_920001_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_920001_v1/ public [B. elegans cold water coral lab culture: CTD] - CTD data from casts at Friday Harbor, WA in August of 2021 as part of a study of cold-water coral Balanophyllia elegans diet and trophic position (Collaborative Research: Refining the use of scleractinian cold-water coral skeleton-bound d15N as a proxy for marine N cycling) CTD casts were performed at Friday Harbor, WA in August of 2021. These data were collected as part of the following study:\n\nData collected as part of this study include nitrogen isotope ratio data for coral tissue and skeleton of the scleractinian cold-water coral Balanophyllia elegans collected at Friday Harbor, WA. Data was collected between March 2019 and August 2021. These data include paired measurements of the N isotope ratio (d15N) of coral tissue and skeleton. Tissue was measured using and Elemental Analyzer (EA)-coupled Isotope Ratio Mass Spectrometer (IRMS) and skeleton samples were first dissolved and organic nitrogen was oxidized to nitrate with persulfate before being run on a GC-IRMS with the denitrifier method. These data also include the results of two culture experiments with the same species of corals. The corals in the first culture experiment were fed Artemia diets with different known d15N in order to quantify change in the tissue d15N in response to a change in the food source and to determine the offset in d15N between the coral tissue and its diet. The starvation trial culture experiment was conducted to evaluate the effects of starvation on the d15N of coral tissue. For both experiments coral tissue was analyzed using an EA-IRMS. This data also includes the d15N of the respective Artemia diets. Finally, included in this data is hydrological and particulate matter data collect at the site the corals were collected (near Friday Harbor, WA). This data includes nitrate d15N and d18O, suspended particulate organic matter d15N, net tow material d15N, and data collected from a CTD profiler. This data enhances the understanding of cold-water coral diet and trophic position. This data improves the understanding of the relationship between surface nitrate d15N and the d15N recorded in the coral skeleton which is useful for enhancing the resolution of coral d15N paleoproxies.\n\ncdm_data_type = Other\nVARIABLES:\nStation (unitless)\nFile_name (unitless)\ntime (Cast_time_utc, seconds since 1970-01-01T00:00:00Z)\nlatitude (Start_latitude, degrees_north)\nlongitude (Start_longitude, degrees_east)\nPressure (decibar (db))\n... (7 more variables)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_920001_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_920001_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_920001_v1/index.htmlTable https://www.bco-dmo.org/dataset/920001 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_920001_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_920001_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_920001_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_919969_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_919969_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_919969_v1/ public [B. elegans cold water coral lab culture: diet and nitrogen experiment] - Experimental data (coral diet and tissue d15N) from a culture experiment with scleractinian cold-water coral Balanophyllia elegans collected at Friday Harbor, WA from experiments conducted between 2019 and 2020 (Collaborative Research: Refining the use of scleractinian cold-water coral skeleton-bound d15N as a proxy for marine N cycling) Data from a culture experiment conducted to evaluate the relationship between coral diet and tissue nitrogen isotopic ratio. These data were collected as part of the following study:\n\nData collected as part of this study include nitrogen isotope ratio data for coral tissue and skeleton of the scleractinian cold-water coral Balanophyllia elegans collected at Friday Harbor, WA. Data was collected between March 2019 and August 2021. These data include paired measurements of the N isotope ratio (d15N) of coral tissue and skeleton. Tissue was measured using and Elemental Analyzer (EA)-coupled Isotope Ratio Mass Spectrometer (IRMS) and skeleton samples were first dissolved and organic nitrogen was oxidized to nitrate with persulfate before being run on a GC-IRMS with the denitrifier method. These data also include the results of two culture experiments with the same species of corals. The corals in the first culture experiment were fed Artemia diets with different known d15N in order to quantify change in the tissue d15N in response to a change in the food source and to determine the offset in d15N between the coral tissue and its diet. The starvation trial culture experiment was conducted to evaluate the effects of starvation on the d15N of coral tissue. For both experiments coral tissue was analyzed using an EA-IRMS. This data also includes the d15N of the respective Artemia diets. Finally, included in this data is hydrological and particulate matter data collect at the site the corals were collected (near Friday Harbor, WA). This data includes nitrate d15N and d18O, suspended particulate organic matter d15N, net tow material d15N, and data collected from a CTD profiler. This data enhances the understanding of cold-water coral diet and trophic position. This data improves the understanding of the relationship between surface nitrate d15N and the d15N recorded in the coral skeleton which is useful for enhancing the resolution of coral d15N paleoproxies.\n\ncdm_data_type = Other\nVARIABLES:\nSample_ID (unitless)\nDay_of_Experiment_Sampled (days)\nDate_Sampled (unitless)\nExperimental_group_color (unitless)\nExperimental_group_artemia_ID (unitless)\nd13C (permil (0/00))\nd15N (permil (0/00))\nMolar_C_to_N_ratio (unitless)\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_919969_v1/index.htmlTable https://www.bco-dmo.org/dataset/919969 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_919969_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_919969_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_919969_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_919985_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_919985_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_919985_v1/ public [B. elegans cold water coral lab culture: particulate data] - Particulate data collected near Friday Harbor, WA between 2020 and 2021 as part of a study of cold-water coral Balanophyllia elegans diet and trophic position (Collaborative Research: Refining the use of scleractinian cold-water coral skeleton-bound d15N as a proxy for marine N cycling) Particulate data collected near Friday Harbor, WA between 2020 and 2021.These data were collected as part of the following study:\n\nData collected as part of this study include nitrogen isotope ratio data for coral tissue and skeleton of the scleractinian cold-water coral Balanophyllia elegans collected at Friday Harbor, WA. Data was collected between March 2019 and August 2021. These data include paired measurements of the N isotope ratio (d15N) of coral tissue and skeleton. Tissue was measured using and Elemental Analyzer (EA)-coupled Isotope Ratio Mass Spectrometer (IRMS) and skeleton samples were first dissolved and organic nitrogen was oxidized to nitrate with persulfate before being run on a GC-IRMS with the denitrifier method. These data also include the results of two culture experiments with the same species of corals. The corals in the first culture experiment were fed Artemia diets with different known d15N in order to quantify change in the tissue d15N in response to a change in the food source and to determine the offset in d15N between the coral tissue and its diet. The starvation trial culture experiment was conducted to evaluate the effects of starvation on the d15N of coral tissue. For both experiments coral tissue was analyzed using an EA-IRMS. This data also includes the d15N of the respective Artemia diets. Finally, included in this data is hydrological and particulate matter data collect at the site the corals were collected (near Friday Harbor, WA). This data includes nitrate d15N and d18O, suspended particulate organic matter d15N, net tow material d15N, and data collected from a CTD profiler. This data enhances the understanding of cold-water coral diet and trophic position. This data improves the understanding of the relationship between surface nitrate d15N and the d15N recorded in the coral skeleton which is useful for enhancing the resolution of coral d15N paleoproxies.\n\ncdm_data_type = Other\nVARIABLES:\nSample_ID (unitless)\nDate_Collected (unitless)\nLocation_collected (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\nSample_type (unitless)\n... (10 more variables)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_919985_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_919985_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_919985_v1/index.htmlTable https://www.bco-dmo.org/dataset/919985 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_919985_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_919985_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_919985_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_919958_v1 https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_919958_v1/ public [B. elegans cold water coral lab culture: skeleton-tissue] - Nitrogen isotope ratio data for coral tissue and skeleton samples of the scleractinian cold-water coral Balanophyllia elegans collected at Friday Harbor, WA from experiments conducted between 2019 and 2021 (Collaborative Research: Refining the use of scleractinian cold-water coral skeleton-bound d15N as a proxy for marine N cycling) This dataset contains nitrogen isotope ratio data for paired coral tissue and skeleton samples of the scleractinian cold-water coral Balanophyllia elegans collected at Friday Harbor, WA. Samples were collected between 2019 to 2021 as detailed in the following study description:\n\nData collected as part of this study include nitrogen isotope ratio data for coral tissue and skeleton of the scleractinian cold-water coral Balanophyllia elegans collected at Friday Harbor, WA. Data was collected between March 2019 and August 2021. These data include paired measurements of the N isotope ratio (d15N) of coral tissue and skeleton. Tissue was measured using and Elemental Analyzer (EA)-coupled Isotope Ratio Mass Spectrometer (IRMS) and skeleton samples were first dissolved and organic nitrogen was oxidized to nitrate with persulfate before being run on a GC-IRMS with the denitrifier method. These data also include the results of two culture experiments with the same species of corals. The corals in the first culture experiment were fed Artemia diets with different known d15N in order to quantify change in the tissue d15N in response to a change in the food source and to determine the offset in d15N between the coral tissue and its diet. The starvation trial culture experiment was conducted to evaluate the effects of starvation on the d15N of coral tissue. For both experiments coral tissue was analyzed using an EA-IRMS. This data also includes the d15N of the respective Artemia diets. Finally, included in this data is hydrological and particulate matter data collect at the site the corals were collected (near Friday Harbor, WA). This data includes nitrate d15N and d18O, suspended particulate organic matter d15N, net tow material d15N, and data collected from a CTD profiler. This data enhances the understanding of cold-water coral diet and trophic position. This data improves the understanding of the relationship between surface nitrate d15N and the d15N recorded in the coral skeleton which is useful for enhancing the resolution of coral d15N paleoproxies.\n\ncdm_data_type = Other\nVARIABLES:\nSkeleton_Sample_ID (unitless)\nTissue_Sample_ID (unitless)\nAverage_Skeleton_d15N (permil (0/00))\nSkeleton_Standard_Deviation (permil (0/00))\nAverage_Tissue_d15N (permil (0/00))\nTissue_Standard_Deviation (permil (0/00))\nDate_Collected (unitless)\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_919958_v1/index.htmlTable https://www.bco-dmo.org/dataset/919958 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_919958_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_919958_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_919958_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_919993_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_919993_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_919993_v1/ public [B. elegans cold water coral lab culture: starvation trial] - Experimental data (d15N and d13C) from a starvation experiment with scleractinian cold-water coral Balanophyllia elegans collected at Friday Harbor, WA with experiments conducted between 2020 and 2022 (Collaborative Research: Refining the use of scleractinian cold-water coral skeleton-bound d15N as a proxy for marine N cycling) Data collected to determine if starvation affects dietary isotopic offset. These data were collected as part of the following study:\n\nData collected as part of this study include nitrogen isotope ratio data for coral tissue and skeleton of the scleractinian cold-water coral Balanophyllia elegans collected at Friday Harbor, WA. Data was collected between March 2019 and August 2021. These data include paired measurements of the N isotope ratio (d15N) of coral tissue and skeleton. Tissue was measured using and Elemental Analyzer (EA)-coupled Isotope Ratio Mass Spectrometer (IRMS) and skeleton samples were first dissolved and organic nitrogen was oxidized to nitrate with persulfate before being run on a GC-IRMS with the denitrifier method. These data also include the results of two culture experiments with the same species of corals. The corals in the first culture experiment were fed Artemia diets with different known d15N in order to quantify change in the tissue d15N in response to a change in the food source and to determine the offset in d15N between the coral tissue and its diet. The starvation trial culture experiment was conducted to evaluate the effects of starvation on the d15N of coral tissue. For both experiments coral tissue was analyzed using an EA-IRMS. This data also includes the d15N of the respective Artemia diets. Finally, included in this data is hydrological and particulate matter data collect at the site the corals were collected (near Friday Harbor, WA). This data includes nitrate d15N and d18O, suspended particulate organic matter d15N, net tow material d15N, and data collected from a CTD profiler. This data enhances the understanding of cold-water coral diet and trophic position. This data improves the understanding of the relationship between surface nitrate d15N and the d15N recorded in the coral skeleton which is useful for enhancing the resolution of coral d15N paleoproxies.\n\ncdm_data_type = Other\nVARIABLES:\nSample_ID (unitless)\nDate_sampled (unitless)\nExperimental_condition (unitless)\nDay_of_experiment (days)\nd15N (permil (0/00))\nd15N_flag (unitless)\nd15N_stdev (permil (0/00))\nd13C (permil (0/00))\nd13C_stdev (permil (0/00))\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_919993_v1/index.htmlTable https://www.bco-dmo.org/dataset/919993 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_919993_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_919993_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_919993_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_945987_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_945987_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_945987_v1/ public [Bacteria Counts CTD Bottle Measurements] - Bacteria Counts CTD Bottle Measurements from CTD samples collected during R/V Hugh R. Sharp cruise HRS2204 from Apr to May 2022 (Collaborative Research: The importance of particle disaggregation on biogeochemical flux predictions) These data include measurements of free bacteria in whole seawater and particle-associated bacteria for particles larger than 1.2 microns from CTD bottle water samples collected during a cruise on the Northeast Continental Shelf to study particle disaggregation. One cruise was completed aboard the R/V Hugh R. Sharp from 2022-04-21 through 2022-05-02 (HRS 22-04), which visited a variety of stations and hydrodynamic environments associated with the Northeast Continental Shelf of the United States. Stations ranged from Georges Bank and the Great South Channel near the Gulf of Maine, Martha's Vineyard, the mouth of the Sakonnet River near Newport, Rhode Island, and Hudson Canyon near New York. These data were collected as part of a study to clarify the importance of hydrodynamic forces on the cohesion, aggregation, and breakup of marine particles. These data were collected by Dr. Austin Grubb of the Rutgers University on the cruise led by Dr. Matthew Rau (chief scientist) of the George Washington University.\n\ncdm_data_type = Other\nVARIABLES:\nID (unitless)\nStation (unitless)\nCTD (unitless)\ndepth (m)\ntime (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\nlatitude (degrees_north)\nlongitude (degrees_east)\nFree_bacteria (cells/ml)\nParticle_associated_bacteria_concentration (cells/ml)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_945987_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_945987_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_945987_v1/index.htmlTable https://www.bco-dmo.org/dataset/945987 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_945987_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_945987_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_945987_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_935908_v1 https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_935908_v1/ public [Bacterial communities and relative abundances of the pathogen Vibrio coralliilyticus in feces of coral reef fish] - Bacterial communities and relative abundances of the pathogen Vibrio coralliilyticus in feces of coral reef fish collected on the north shore of Mo’orea, French Polynesia, Oct 2020 (CAREER: Testing the effects of predator-derived feces on host symbiont acquisition and health) Understanding how microbial communities in consumer feces may impact ecosystem health may improve conservation and restoration efforts. To test how microbial communities in fish feces may affect coral reef health, we collected fecal samples from ten fish species, ranging from obligate corallivore to grazer/detritivore. Additionally, samples of corals, algae, sediments, and seawater were collected to test whether bacterial taxa in these samples were also represented in fish feces (N = 5-14 per fish, coral, or algae species/genus). All collections were conducted in October 2020 from the back reef (1-2 m depth) and fore reef (5-10 m depth) in Moorea, between LTER sites 1 and 2 of the Moorea Coral Reef (MCR) Long Term Ecological Research (LTER) site. We conducted bacterial 16S rRNA gene metabarcoding on all samples and found that fecal communities of bacteria differed among fish guilds (obligate corallivores, facultative corallivores, grazer/detritivores). We also used real-time PCR to quantify abundances of Vibrio coralliilyticus, a known coral pathogen,  in all fecal samples. Samples were collected and processed, and data were analyzed, by the authors of Grupstra et al., 2023.\n\ncdm_data_type = Other\nVARIABLES:\nsample_name (unitless)\nSRA (unitless)\nBioSample (unitless)\norganism (unitless)\nstrain (unitless)\nisolation_source (unitless)\ncollection_date (unitless)\ngeo_loc_name (unitless)\ndepth_r (Depth, m)\nenv_broad_scale (unitless)\nhost_description (unitless)\nhost_tissue_sampled (unitless)\nhost_diet (unitless)\nhost_feces_dCT (cycles)\nhost_AphiaID (unitless)\nhost_ScientificName (unitless)\nhost_LSID (unitless)\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_935908_v1/index.htmlTable https://www.bco-dmo.org/dataset/935908 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_935908_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_935908_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_935908_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_962727_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_962727_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_962727_v1/ public [Bacterial flow cytometry data] - Cell concentrations associated with genomics sampling to characterize bacterial responses to parasite-host metabolites from bottle incubation experiments in June of 2024 (Characterizing plankton parasite-host metabolites and the response of heterotrophic bacteria) Bottle-based incubation experiments were conducted with coastal seawater that was filtered to include only the bacterial fraction. Fresh filtrate from Scrippsiella acuminata cultures infected by Amoebophyra sp. were collected and added into coastal seawater to expose heterotrophic bacterial communities to parasite-host metabolites and explore changes in bacterial community composition and gene expression over time. Data reported here are cell concentrations of bulk heterotrophic bacteria measured via flow cytometry that accompanied samples collected for DNA metabarcoding and metatranscriptomics from the incubation bottles over time.\n\ncdm_data_type = Other\nVARIABLES:\nSample_name (unitless)\nTreatment (unitless)\ntime_elapsed (Time, hours)\nReplicate (unitless)\nDate (unitless)\nCell_concentration_hbact (Cells per ml (cells mL-1))\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_962727_v1/index.htmlTable https://osprey.bco-dmo.org/dataset/962727 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_962727_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_962727_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_962727_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_943333_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_943333_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_943333_v1/ public [Bacterivory] - Specific daily growth of heterotrophic bacteria and grazing mortality on bacteria by microzooplankton from R/V Roger Revelle KIWI6, KIWI7, KIWI8, KIWI9 cruises in the Southern Ocean, 1997-1998 (U.S. JGOFS AESOPS project) (U.S. JGOFS Antarctic Environment and Southern Ocean Process Study) This dataset is from dilution experiments conducted on 1997-98 cruises KIWI6, KIWI7, KIWI8, and KIWI9 on R/V Roger Revelle as part of the US JGOFS AESOPS Program in the Southern Ocean. Rate estimates are specific daily growth of heterotrophic bacteria (d-1) and grazing mortality on bacteria by microzooplankton (d-1).\n\ncdm_data_type = Other\nVARIABLES:\nCruise (unitless)\nEvent (unitless)\nDate (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\nStation (unitless)\nCast (unitless)\nCast_type (unitless)\ndepth (m)\nBact_growth (per day (d-1))\nMicrozoo_graz (per day (d-1))\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_943333_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_943333_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_943333_v1/index.htmlTable https://www.bco-dmo.org/dataset/943333 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_943333_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_943333_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_943333_v1
log in [BAIT Aerosol Aluminum Data] - Aerosol aluminum measurements from Tudor Hill, Bermuda collected December 2018 to March 2020 as part of the Bermuda Atlantic Iron Timeseries project (NSFGEO-NERC: Collaborative Research: Using Time-series Field Observations to Constrain an Ocean Iron Model) These data include the atmospheric concentrations of aerosol aluminum (total, deionized-water-soluble, and dilute-acetic-acid-soluble) derived from analysis of composite aerosol samples collected during approximately weekly intervals on the sampling tower at Tudor Hill, Bermuda, between November 2018 and March 2020. The data allow estimates of the dry deposition of aluminum to the Bermuda region over the period of the BAIT project, which included cruises in the Bermuda Atlantic Time-series Study (BATS) region in March, May, August and November 2019. The aerosol samples were collected by staff of the Bermuda Institute of Ocean Sciences from the Tudor Hill tower facility that is managed by Dr. Andrew Peters with funding from NSF. Sample processing and analyses were completed in the laboratory of Dr. Peter Sedwick at Old Dominion University.\n\ncdm_data_type = Other\nVARIABLES:\nAerosol_sample_ID (unitless)\ntime (Start_iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\nEnd_ISO_DateTime_UTC (seconds since 1970-01-01T00:00:00Z)\nSampling_period (day)\nPump_time (hour)\nAir_volume (liters (L))\nTotal_aerosol_Al (nanomoles per cubic meter (nmol m-3))\nDIW_soluble_aerosol_Al (nanomoles per cubic meter (nmol m-3))\nHOAc_soluble_aerosol_Al (nanomoles per cubic meter (nmol m-3))\nSample_flag (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\n BCO-DMO bcodmo_dataset_956140_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_906770_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_906770_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_906770_v1/ public [BAIT Aerosol Fe data] - Atmospheric concentrations of aerosol iron from samples collected at Tudor Hill Bermuda between November 2018 and March 2020. (Operation of a Community Marine-Atmospheric Sampling Facility at Tudor Hill, Bermuda) These data include the atmospheric concentrations of aerosol iron (total, deionized-water-soluble, and dilute-acetic-acid-soluble) derived from analysis of composite aerosol samples collected during approximately weekly intervals on the sampling tower at Tudor Hill, Bermuda, between November 2018 and March 2020. The data allow estimates of the dry deposition of iron to the Bermuda region over the period of the BAIT project, which included cruises in the Bermuda Atlantic Time-series Study (BATS) region in March, May, August and November 2019. The rain samples were collected by staff of the Bermuda Institute of Ocean Sciences (the Tudor Hill tower facility is managed by Dr. Andrew Peters, with funding from NSF), and sample processing and analyses were completed in the laboratory of Dr. Peter Sedwick at Old Dominion University.\n\ncdm_data_type = Other\nVARIABLES:\nLatitude (degrees_north)\nlongitude (degrees_east)\nAerosol_sample_ID (unitless)\ntime (Start_datetime_utc, seconds since 1970-01-01T00:00:00Z)\nEnd_datetime_UTC (seconds since 1970-01-01T00:00:00Z)\nSampling_period (day)\nPump_time (hour)\nAir_volume (liter)\nTotal_aerosol_Fe (nanomoles per cubic meter (nmol m-3))\nDIW_soluble_aerosol_Fe (nanomoles per cubic meter (nmol m-3))\nHOAc_soluble_aerosol_Fe (nanomoles per cubic meter (nmol m-3))\nSample_flag (unitless)\nStart_datetime_local (unitless)\nEnd_datetime_local (unitless)\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_906770_v1/index.htmlTable https://www.bco-dmo.org/dataset/906770 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_906770_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_906770_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_906770_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_937008_v2 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_937008_v2.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_937008_v2/ public [BAIT Aerosol Fe isotopes] - Stable isotopic composition of total, deionized-water-soluble, and dilute-acetic-acid-soluble aerosol iron from analysis of composite aerosol samples collected at Tudor Hill, Bermuda between Nov 2018 and March 2020 (NSFGEO-NERC: Collaborative Research: Using Time-series Field Observations to Constrain an Ocean Iron Model) These data include the stable isotopic composition (δ56Fe relative to the IRMM-014 standard) of total, deionized-water-soluble, and dilute-acetic-acid-soluble aerosol Fe, from analysis of composite aerosol samples collected during ~weekly intervals on the sampling tower at Tudor Hill, Bermuda, between November 2018 and March 2020. These provide estimates of the δ56Fe signature of Fe deposited to the region during the BAIT project. Dust samples were collected by staff of the Bermuda Institute of Ocean Sciences, and the Tudor Hill tower facility is managed by Dr. Andrew Peters, with funding from NSF. Aerosol sample processing was done in the laboratory of Dr. Peter Sedwick at Old Dominion University, and analysis for δ56Fe was carried out in the laboratory of Dr. Tim Conway at the University of South Florida.\n\ncdm_data_type = Other\nVARIABLES:\nlatitude (degrees_north)\nlongitude (degrees_east)\nAerosol_sample_ID (unitless)\ntime (Start_datetime_utc, seconds since 1970-01-01T00:00:00Z)\nEnd_datetime_UTC (seconds since 1970-01-01T00:00:00Z)\nFe_56_54_D_DELTA_DIW_soluble_aerosol (per mil (‰))\nSD2_Fe_56_54_D_DELTA_DIW_soluble_aerosol (per mil (‰))\nFlag_Fe_56_54_D_DELTA_DIW_soluble_aerosol (unitless)\nFe_56_54_D_DELTA_Total_aerosol (per mil (‰))\nSD2_Fe_56_54_D_DELTA_Total_aerosol (per mil (‰))\nFlag_Fe_56_54_D_DELTA_Total_aerosol (unitless)\nFe_56_54_D_DELTA_HOAc_soluble_aerosol (per mil (‰))\nSD2_Fe_56_54_D_DELTA_HOAc_soluble_aerosol (per mil (‰))\nFlag_Fe_56_54_D_DELTA_HOAc_soluble_aerosol (unitless)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_937008_v2_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_937008_v2_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_937008_v2/index.htmlTable https://osprey.bco-dmo.org/dataset/937008 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_937008_v2.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_937008_v2&showErrors=false&email= BCO-DMO bcodmo_dataset_937008_v2
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_937302_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_937302_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_937302_v1/ public [BAIT Bottle Data from Trace-metal CTD Casts] - Concentrations of trace metals and dissolved macronutrients and CTD sensor data from four cruises in the Bermuda Atlantic Time-series Study (BATS) region in March, May, August and November 2019 (NSFGEO-NERC: Collaborative Research: Using Time-series Field Observations to Constrain an Ocean Iron Model) These data include the concentrations of trace metals (dissolved and soluble iron, dissolved and soluble manganese, dissolved aluminum) and dissolved macronutrients (nitrate+nitrite, phosphate, reactive silicate) determined in water-column samples collected using a trace-metal clean CTD rosette, or an inflatable dinghy, during four cruises in the Bermuda Atlantic Time-series Study (BATS) region in March, May, August and November 2019. Also presented are CTD sensor data (pressure, temperature, salinity, chlorophyll fluorescence, dissolved oxygen) and derived variables (water depth, density) corresponding to the CTD-rosette bottle samples. The samples and associated data were collected for the BAIT project (GEOTRACES Process Study GApr13). Post-cruise sample analyses were performed at Old Dominion University (trace metals) and the Bermuda Institute of Ocean Sciences (macronutrients).\n\ncdm_data_type = Other\nVARIABLES:\nCruise_ID (unitless)\nStation (unitless)\nSample_ID (unitless)\nPressure (decibars)\ndepth (m)\nlatitude (degrees_north)\nlongitude (Long, degrees_east)\ntime (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\nDate_UTC (unitless)\nTime_UTC (unitless)\nTemp (degrees Celsius)\nSal (unitless)\nChl (milligrams per cubic meter (mg/m^3))\nO2 (micromoles per kilogram (umol/kg))\nSigma_theta (unitless)\nDFe (nanomoles per liter (nM))\nDFe_Flag (unitless)\nsFe (nanomoles per liter (nM))\n... (13 more variables)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_937302_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_937302_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_937302_v1/index.htmlTable https://www.bco-dmo.org/dataset/937302 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_937302_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_937302_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_937302_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_956540_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_956540_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_956540_v1/ public [BAIT phytoplankton element quotas] - Element quotas of individual phytoplankton cells from four Bermuda Atlantic Iron Time-Series (BAIT) cruises in 2019 (NSFGEO-NERC: Collaborative Research: Using Time-series Field Observations to Constrain an Ocean Iron Model) Individual phytoplankton cells were collected on four cruises (March, May, August, and November 2019) as part of the Bermuda Atlantic Iron Time-Series (BAIT) Project. The elemental (Si, P, S, Mn, Fe, Co, Ni, Cu, Zn) content of each cell was measured with synchrotron x-ray fluorescence (SXRF). Carbon was calculated from biovolume. These data can be used to assess biogenic particulate metal fraction, as well as changes in the accumulation of these elements across seasons.\n\ncdm_data_type = Other\nVARIABLES:\naps_run (unitless)\nMDA (unitless)\nCruise (unitless)\nStation (unitless)\ndepth (Depth_m, m)\nDepth (unitless)\nVol (cubic micrometers (um3))\ncellC_mol (moles (mol))\nlog_Si_C (micromoles per mole (umol/mol))\nlog_Fe_C (micromoles per mole (umol/mol))\nlog_Cu_C (micromoles per mole (umol/mol))\nlog_Zn_C (micromoles per mole (umol/mol))\nlog_P_C (micromoles per mole (umol/mol))\nlog_S_C (micromoles per mole (umol/mol))\nlog_Mn_C (micromoles per mole (umol/mol))\nlog_Co_C (micromoles per mole (umol/mol))\nlog_Ni_C (micromoles per mole (umol/mol))\nlog_C_P (moles per mole (mol/mol))\nflag_C_P (unitless)\nflag_Fe_C (unitless)\nflag_Zn_C (unitless)\nflag_Mn_C (unitless)\nflag_Ni_C (unitless)\n... (5 more variables)\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_956540_v1/index.htmlTable https://osprey.bco-dmo.org/dataset/956540 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_956540_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_956540_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_956540_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_906757_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_906757_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_906757_v1/ public [BAIT Rain Fe data] - Total dissolvable iron concentrations in rainwater from weekly sampling at Tudor Hill Bermuda between November 2018 and March 2020. (Operation of a Community Marine-Atmospheric Sampling Facility at Tudor Hill, Bermuda) These data include total-dissolvable iron concentrations in rainwater and corresponding rainfall amounts for composite samples collected during approximately weekly intervals on the sampling tower at Tudor Hill, Bermuda, between November 2018 and March 2020. The data allow estimates of the wet deposition of iron to the Bermuda region over the period of the BAIT project, which included cruises in the Bermuda Atlantic Time-series Study (BATS) region in March, May, August and November 2019. The rain samples were collected by staff of the Bermuda Institute of Ocean Sciences (the Tudor Hill tower facility is managed by Dr. Andrew Peters, with funding from NSF), and sample processing and analyses were completed in the laboratory of Dr. Peter Sedwick at Old Dominion University.\n\ncdm_data_type = Other\nVARIABLES:\nLatitude (degrees_north)\nlongitude (degrees_east)\nSample_ID (unitless)\nStart_date (unitless)\nEnd_date (unitless)\nSampling_period (day)\nTDFe (nanomoles per liter (nmol L-1))\nRainfall (millimeters (mm))\nSample_flag (unitless)\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_906757_v1/index.htmlTable https://www.bco-dmo.org/dataset/906757 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_906757_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_906757_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_906757_v1
log in [BAIT Rainwater Aluminum Data] - Rainwater aluminum measurements of samples collected November 2018 to March 2020 at Tudor Hill, Bermuda as part of the Bermuda Atlantic Iron Timeseries project (NSFGEO-NERC: Collaborative Research: Using Time-series Field Observations to Constrain an Ocean Iron Model) These data include total-dissolvable aluminum concentrations in rainwater and corresponding rainfall amounts for composite samples collected during approximately weekly intervals on the sampling tower at Tudor Hill, Bermuda, between November 2018 and March 2020. The data allow estimates of the wet deposition of aluminum to the Bermuda region over the period of the BAIT project, which included cruises in the Bermuda Atlantic Time-series Study (BATS) region in March, May, August and November 2019. The rain samples were collected by staff of the Bermuda Institute of Ocean Sciences (the Tudor Hill tower facility is managed by Dr. Andrew Peters, with funding from NSF), and sample processing and analyses were completed in the laboratory of Dr. Peter Sedwick at Old Dominion University.\n\ncdm_data_type = Other\nVARIABLES:\nSample_ID (unitless)\nStart_Date (unitless)\nEnd_Date (unitless)\nSampling_period (day)\nTDAl (nanomoles per liter (nmol L-1))\nRainfall (millimeters (mm))\nSample_flag (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\n BCO-DMO bcodmo_dataset_956635_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_915490_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_915490_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_915490_v1/ public [Baltic GasEx (2018) Helium isotopes and Neon] - Helium isotope and neon data from seawater samples collected June 2018 during FS Alkor cruise AL510 in the Baltic Sea (Collaborative Research: Influence of Surfactants on Air-Sea Gas Exchange: 3He/SF6 Experiments in the Baltic Sea) This dataset encompasses 145 seawater samples collected from 23 hydrographic stations during the AL510 cruise in the Baltic Sea aboard the research vessel Alkor, from June 6 to June 11, 2018. Helium isotopes and neon measurements were conducted in the Noble Gas Laboratory of the Lamont-Doherty Earth Observatory on a dedicated, fully automated VG5400 mass spectrometer following the procedures described by Ludin et al. (1998). Helium and neon samples were collected from Niskin bottles in copper tubes (40 ml) sealed by stainless steel pinch-off clamps. Shipboard sampling, gas extraction, and isotopic analysis were done by Tobias (Toby) Koffman with data processing by Peter Schlosser.\n\ncdm_data_type = Other\nVARIABLES:\nSt_ID (unitless)\nSa_ID_LDEO (unitless)\nSample_label (unitless)\nSa_ID (unitless)\ntime (Sample_datetime_utc, seconds since 1970-01-01T00:00:00Z)\nLat (degrees_north)\nlongitude (degrees_east)\nBottom_depth (meters (m))\nNiskin (unitless)\nDepth_uncorr (m)\ndepth (m)\nTemp (degrees Celsius (°C))\nSal (PSU)\nDens_pot (kilogram per cubic meter (kg/m3))\nd3He (percent (%))\nd3HeEr (percent (%))\nd3HeFlag (unitless)\nHe4Conc (cubic centimeters at standard temperature and pressure per gram (ccSTP/g))\nHe4ConcEr (cubic centimeters at standard temperature and pressure per gram (ccSTP/g))\nHe4Flag (unitless)\n... (11 more variables)\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_915490_v1/index.htmlTable https://www.bco-dmo.org/dataset/915490 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_915490_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_915490_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_915490_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_915772_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_915772_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_915772_v1/ public [Baltic GasEx 1 SF6 and Helium] - SF6 and helium data from a tracer release experiment conducted June 2018 in the coastal Baltic Sea during FS Alkor cruise AL510 (Collaborative Research: Influence of Surfactants on Air-Sea Gas Exchange: 3He/SF6 Experiments in the Baltic Sea) These data are 3He and SF6 from a tracer release experiment conducted in the coastal Baltic Sea. The experiment was conducted in June 2018 and the goal was to determine gas transfer velocities in the Baltic Sea, where it is thought that excess surfactants and limited wind fetch would affect the relationship between wind speed and gas transfer velocity.\n\ncdm_data_type = Other\nVARIABLES:\ntime (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\nStation (unitless)\nLatitude (degrees_north)\nlongitude (degrees_east)\ndepth (m)\nTemperature (degrees Celsius (°C))\nSalinity (PSU)\nHe3_excess (cubic centimeters at standard temperature and pressure per gram times 10^-16 (ccSTP/g*10-16))\nSF6_rep1 (picomoles per kilogram (pmol/kg))\nSF6_rep2 (picomoles per kilogram (pmol/kg))\nSF6_rep3 (picomoles per kilogram (pmol/kg))\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_915772_v1/index.htmlTable https://www.bco-dmo.org/dataset/915772 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_915772_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_915772_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_915772_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_948228_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_948228_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_948228_v1/ public [Barnacle consumption of Nucella] - Barnacle consumption of Nucella lamellosa that either displayed behavioral or morphological fear responses or not in the presence of predators within laboratory mesocosms at Bodega Marine Lab in 2019 (Trophic consequences of ocean acidification: Intertidal sea star predators and their grazer prey) To examine the impacts of fear removal on the strength of trophic cascades, we measured the number of barnacles (Balanus glandula) consumed by Nucella lamellosa that either displayed either an anti-predatory response to its predator Pisaster ochraceus or ignored the predator. We tested the removal of two types of anti-predatory responses, a behavioral fear response and an inducible morphological defense, to also examine how the type of fear response can influence the strength of trophic cascades. The experiment was conducted within laboratory mesocosms at Bodega Marine Lab in 2019.\n\ncdm_data_type = Other\nVARIABLES:\nContainer_past (unitless)\nContainer (unitless)\nInduction (unitless)\nCue (unitless)\nTotal (unitless)\nConsumed (unitless)\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_948228_v1/index.htmlTable https://osprey.bco-dmo.org/dataset/948228 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_948228_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_948228_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_948228_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_1003038_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_1003038_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_1003038_v1/ public [BATS 2019 Size Fractionated Organic C and 13C] - Size fractionated organic carbon and 13C at Bermuda Atlantic Time Series (BATS) from samples collected on R/V Atlantic Explorer cruise AE1920 in August 2019 (The fate of lysis products of picocyanobacteria contributes to marine humic-like chromophoric dissolved organic matter) Size fractionated organic particle carbon and stable carbon isotopes were obtained on the R/V Atlantic Explorer at Bermuda Atlantic Time Series (BATS) (31°40'N, 64°10'W ) in August 2019. For size fractionated particulate organic C analyses, water was obtained from Niskin bottles on a CTD rosette, by opening the bottom of the Niskin bottle. Water was gravity filtered through stacked mesh with the following pore sizes: 500 micrometers (um), 180 um, 53 um, 20 um, and 5 um. Each fraction was resuspended off the mesh and vacuum filtered onto pre-combusted GF/C filters (nominal pore size 1.2 um). Samples were wafted with HCl to remove carbonate and sent to the UC Davis Stable Isotope Facility (Davis, CA) for C and N analysis utilizing an elemental analyzer attached to an isotope ratio mass spectrometer. The samples were obtained to determine particle size to carbon concentration relationships for models, while also providing data for size fractionated microbial community analyses. Samples were collected by Jacob Cram of Horn Point Laboratory (University of Maryland Center for Environmental Science) and his lab members. Filters were prepped in the lab by Clara Fuchsman of Horn Point Laboratory, a part of the University of Maryland Center for Environmental Science. Data were analyzed by both Clara Fuchsman and Jacob Cram.\n\ncdm_data_type = Other\nVARIABLES:\nStation (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\nDate (unitless)\ndepth (m)\nSection (unitless)\nSize_Fraction (unitless)\nd13C_VPDB (permil (0/00))\nCarbon (micromolar (uM))\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_1003038_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_1003038_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_1003038_v1/index.htmlTable https://osprey.bco-dmo.org/dataset/1003038 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_1003038_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_1003038_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_1003038_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_3918_v8 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_3918_v8.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_3918_v8/ public [BATS CTD Profiles] - Two decibar averaged CTD profiles collected at the Bermuda Atlantic Time-series Study (BATS) site from October 1988 through December 2023 (Bermuda Atlantic Time-series Study) Data presented here are profiles of primary CTD parameters (pressure, depth, temperature, and salinity) plus auxiliary measurements of dissolved oxygen, beam attenuation, relative fluorescence, and photosynthetic active radiation (PAR) at the BATS site (31° 40' N 64° 10'W) for years 1988-2023. Profiles were collected using a standard Sea-Bird SBE-09 plus CTD during the monthly core BATS cruises and near biweekly BATS bloom cruises during the months of February through April depending on ship availability. Data are processed following the methods of Knap et al., 1997 with the final product being reported as two decibar averages and all profiles for each cruise reported in a single cruise file. It should be noted that the two decibar profiles are reported for the downcast only and bottle marker data collected on the upcast are presented with the BATS bottle dataset.\n\ncdm_data_type = Other\nVARIABLES:\nID (unitless)\ntime (Iso_datetime_utc_deployed, seconds since 1970-01-01T00:00:00Z)\nISO_DateTime_UTC_recovered (seconds since 1970-01-01T00:00:00Z)\nVessel (unitless)\nlatitude (Latitude_deployed, degrees_north)\nlongitude (Longitude_deployed, degrees_east)\nLatitude_recovered (degrees_north)\nLongitude_recovered (degrees_east)\nCruise_type (unitless)\nCruise_num (unitless)\nCast (unitless)\ndepth (m)\nQF_Depth (unitless)\nPressure (decibars (dbar))\nQF_Pressure (unitless)\nTemperature (degrees Celsius)\nQF_Temperature (unitless)\nSalinity (PSU)\n... (15 more variables)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_3918_v8_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_3918_v8_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_3918_v8/index.htmlTable https://www.bco-dmo.org/dataset/3918 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_3918_v8.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_3918_v8&showErrors=false&email= BCO-DMO bcodmo_dataset_3918_v8
log in [BATS CTD Profiles] - Two decibar averaged CTD profiles collected at the Bermuda Atlantic Time-series Study (BATS) site from October 1988 through December 2024 (Bermuda Atlantic Time-series Study) Data presented here are profiles of primary CTD parameters (pressure, depth, temperature, conductivity, and salinity) plus auxiliary measurements of  dissolved oxygen, beam attenuation, relative fluorescence, and photosynthetic active radiation (PAR) at the BATS site 31° 40' N 64° 10'W for October 1988-December 2024. Profiles were collected using a standard Sea-Bird SBE-09 plus CTD during the monthly core BATS cruises and near biweekly BATS bloom cruises during the months of February through April depending on ship availability. Data are processed following the methods of Knap et al., 1997 with the final product being reported as two decibar averages and all profiles for each cruise are reported in a single cruise file. It should be noted that the two decibar profiles are reported for the downcast only and bottle marker data collected on the upcast are presented with the bottle data.\n\ncdm_data_type = Other\nVARIABLES:\nID (unitless)\ntime (Iso_datetime_utc_deployed, seconds since 1970-01-01T00:00:00Z)\nISO_DateTime_UTC_recovered (seconds since 1970-01-01T00:00:00Z)\nVessel (unitless)\nlatitude (Latitude_deployed, degrees_north)\nlongitude (Longitude_deployed, degrees_east)\nLatitude_recovered (degrees_north)\nLongitude_recovered (degrees_east)\nCruise_type (unitless)\nCruise_num (unitless)\nCast (unitless)\ndepth (m)\nQF_Depth (unitless)\nPressure (decibars (dbar))\nQF_Pressure (unitless)\nTemperature (degrees Celsius)\nQF_Temperature (unitless)\nSalinity (PSU)\n... (11 more variables)\n BCO-DMO bcodmo_dataset_3918_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_3918_v10 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_3918_v10.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_3918_v10/ public [BATS CTD Profiles] - Two decibar averaged CTD profiles collected at the Bermuda Atlantic Time-series Study (BATS) site from October 1988 through December 2024 (Bermuda Atlantic Time-series Study) Data presented here are profiles of primary CTD parameters (pressure, depth, temperature, conductivity, and salinity) plus auxiliary measurements of  dissolved oxygen, beam attenuation, relative fluorescence, and photosynthetic active radiation (PAR) at the BATS site 31° 40' N 64° 10'W for October 1988-December 2024. Profiles were collected using a standard Sea-Bird SBE-09 plus CTD during the monthly core BATS cruises and near biweekly BATS bloom cruises during the months of February through April depending on ship availability. Data are processed following the methods of Knap et al., 1997 with the final product being reported as two decibar averages and all profiles for each cruise are reported in a single cruise file. It should be noted that the two decibar profiles are reported for the downcast only and bottle marker data collected on the upcast are presented with the bottle data.\n\ncdm_data_type = Other\nVARIABLES:\nID (unitless)\ntime (Iso_datetime_utc_deployed, seconds since 1970-01-01T00:00:00Z)\nISO_DateTime_UTC_recovered (seconds since 1970-01-01T00:00:00Z)\nVessel (unitless)\nlatitude (Latitude_deployed, degrees_north)\nlongitude (Longitude_deployed, degrees_east)\nLatitude_recovered (degrees_north)\nLongitude_recovered (degrees_east)\nCruise_type (unitless)\nCruise_num (unitless)\nCast (unitless)\ndepth (m)\nQF_Depth (unitless)\nPressure (decibars (dbar))\nQF_Pressure (unitless)\nTemperature (degrees Celsius)\nQF_Temperature (unitless)\nSalinity (PSU)\n... (11 more variables)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_3918_v10_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_3918_v10_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_3918_v10/index.htmlTable https://osprey.bco-dmo.org/dataset/3918 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_3918_v10.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_3918_v10&showErrors=false&email= BCO-DMO bcodmo_dataset_3918_v10
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_3918_v9 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_3918_v9.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_3918_v9/ public [BATS CTD Profiles] - Two decibar averaged CTD profiles collected at the Bermuda Atlantic Time-series Study (BATS) site from October 1988 through July 2024 (Bermuda Atlantic Time-series Study) Data presented here are profiles of primary CTD parameters (pressure, depth, temperature, conductivity, and salinity) plus auxiliary measurements of  dissolved oxygen, beam attenuation, relative fluorescence, and photosynthetic active radiation (PAR) at the BATS site 31° 40' N 64° 10'W for October 1988- July 2024. Profiles were collected using a standard Sea-Bird SBE-09 plus CTD during the monthly core BATS cruises and near biweekly BATS bloom cruises during the months of February through April depending on ship availability. Data are processed following the methods of Knap et al., 1997 with the final product being reported as two decibar averages and all profiles for each cruise are reported in a single cruise file. It should be noted that the two decibar profiles are reported for the downcast only and bottle marker data collected on the upcast are presented with the bottle data.\n\ncdm_data_type = Other\nVARIABLES:\nID (unitless)\ntime (Iso_datetime_utc_deployed, seconds since 1970-01-01T00:00:00Z)\nISO_DateTime_UTC_recovered (seconds since 1970-01-01T00:00:00Z)\nVessel (unitless)\nlatitude (Latitude_deployed, degrees_north)\nlongitude (Longitude_deployed, degrees_east)\nLatitude_recovered (degrees_north)\nLongitude_recovered (degrees_east)\nCruise_type (unitless)\nCruise_num (unitless)\nCast (unitless)\ndepth (m)\nQF_Depth (unitless)\nPressure (decibars (dbar))\nQF_Pressure (unitless)\nTemperature (degrees Celsius)\nQF_Temperature (unitless)\nSalinity (PSU)\n... (11 more variables)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_3918_v9_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_3918_v9_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_3918_v9/index.htmlTable https://www.bco-dmo.org/dataset/3918 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_3918_v9.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_3918_v9&showErrors=false&email= BCO-DMO bcodmo_dataset_3918_v9
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_3918_v11 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_3918_v11.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_3918_v11/ public [BATS CTD Profiles] - Two decibar averaged CTD profiles collected at the Bermuda Atlantic Time-series Study (BATS) site from October 1988 through June 2025 (Bermuda Atlantic Time-series Study) Data presented here are profiles of primary CTD parameters (pressure, depth, temperature, conductivity, and salinity) plus auxiliary measurements of  dissolved oxygen, beam attenuation, relative fluorescence, and photosynthetic active radiation (PAR) at the BATS site 31° 40' N 64° 10'W for October 1988-June 2025. Profiles were collected using a standard Sea-Bird SBE-09 plus CTD during the monthly core BATS cruises and near biweekly BATS bloom cruises during the months of February through April depending on ship availability. Data are processed following the methods of Knap et al., 1997 with the final product being reported as two decibar averages and all profiles for each cruise are reported in a single cruise file. It should be noted that the two decibar profiles are reported for the downcast only and bottle marker data collected on the upcast are presented with the bottle data.\n\ncdm_data_type = Other\nVARIABLES:\nID (unitless)\ntime (Iso_datetime_utc_deployed, seconds since 1970-01-01T00:00:00Z)\nISO_DateTime_UTC_recovered (seconds since 1970-01-01T00:00:00Z)\nVessel (unitless)\nlatitude (Latitude_deployed, degrees_north)\nlongitude (Longitude_deployed, degrees_east)\nLatitude_recovered (degrees_north)\nLongitude_recovered (degrees_east)\nCruise_type (unitless)\nCruise_num (unitless)\nCast (unitless)\ndepth (m)\nQF_Depth (unitless)\nPressure (decibars (dbar))\nQF_Pressure (unitless)\nTemperature (degrees Celsius)\nQF_Temperature (unitless)\nSalinity (PSU)\n... (11 more variables)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_3918_v11_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_3918_v11_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_3918_v11/index.htmlTable https://osprey.bco-dmo.org/dataset/3918 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_3918_v11.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_3918_v11&showErrors=false&email= BCO-DMO bcodmo_dataset_3918_v11
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_3782_v6 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_3782_v6.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_3782_v6/ public [BATS discrete bottle data] - Discrete bottle samples collected at the Bermuda Atlantic Time-series Study (BATS) site in the Sargasso Sea from October 1988 through December 2023 (Bermuda Atlantic Time-series Study) Data presented here are discrete bottle samples from the Bermuda Atlantic Time-series Study (BATS) site located 80 km SE of Bermuda (31°40N, 64°10W) in the Sargasso Sea for October 1988 (cruise 10001) through December 2023 (cruise 10411). Measurements were collected from the core monthly BATS cruises and the near-biweekly (depending on ship availability) BATS Bloom cruises during February through April. The sample parameter list has been mostly consistent for the full time-series record and includes: salinity, dissolved oxygen, dissolved inorganic carbon, alkalinity, nutrients (nitrate + nitrite, nitrite, phosphate, silicate), particulate organics (carbon, nitrogen, phosphorous), particulate silicate, total organic carbon and nitrogen, total dissolved phosphorus, bacterial enumeration, and flow cytometry counts of picoplankton. The HPLC derived phytoplankton pigment data which are collected synoptically with many of the above parameters are reported in a separate dataset.\n\ncdm_data_type = Other\nVARIABLES:\ntime (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\nBottle_ID (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\nVessel (unitless)\nCruise_ID (unitless)\nCruise_type (unitless)\nCruise_num (unitless)\nCast_num (unitless)\nBottle_num (unitless)\nQF_bottle (unitless)\ndepth (m)\nQF1_Depth (unitless)\nTemp (degrees Celsius (°C))\nQF2_Temp (unitless)\nCTD_Salinity (dimensionless)\nQF3_CTD_Sal (unitless)\n... (53 more variables)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_3782_v6_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_3782_v6_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_3782_v6/index.htmlTable https://www.bco-dmo.org/dataset/3782 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_3782_v6.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_3782_v6&showErrors=false&email= BCO-DMO bcodmo_dataset_3782_v6
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_3782_v8 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_3782_v8.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_3782_v8/ public [BATS discrete bottle data] - Discrete bottle samples collected at the Bermuda Atlantic Time-series Study (BATS) site in the Sargasso Sea from October 1988 through December 2024 (Bermuda Atlantic Time-series Study) Data presented here are discrete bottle samples from the Bermuda Atlantic Time-series Study (BATS) site located 80 km SE of Bermuda (31°40N, 64°10W) in the Sargasso Sea for October 1988 (cruise 10001) through December 2024 (cruise 10422). Measurements were collected from the core monthly BATS cruises and the near-biweekly (depending on ship availability) BATS Bloom cruises during February through April. The sample parameter list has been mostly consistent for the full time-series record and includes: salinity, dissolved oxygen, dissolved inorganic carbon, alkalinity, nutrients (nitrate + nitrite, nitrite, phosphate, silicate), particulate organics (carbon, nitrogen, phosphorous), particulate silicate, total organic carbon and nitrogen, total dissolved phosphorus, bacterial enumeration, and flow cytometry counts of picoplankton. The HPLC derived phytoplankton pigment data which are collected synoptically with many of the above parameters are reported in a separate dataset.\n\ncdm_data_type = Other\nVARIABLES:\ntime (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\nBottle_ID (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\nVessel (unitless)\nCruise_ID (unitless)\nCruise_type (unitless)\nCruise_num (unitless)\nCast_num (unitless)\nBottle_num (unitless)\nQF_bottle (unitless)\ndepth (m)\nQF_Depth (unitless)\nTemperature (degrees Celsius ( °C))\nQF_Temp (unitless)\nCTD_Salinity (dimensionless)\nQF_CTD_Sal (unitless)\n... (49 more variables)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_3782_v8_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_3782_v8_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_3782_v8/index.htmlTable https://osprey.bco-dmo.org/dataset/3782 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_3782_v8.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_3782_v8&showErrors=false&email= BCO-DMO bcodmo_dataset_3782_v8
log in [BATS discrete bottle data] - Discrete bottle samples collected at the Bermuda Atlantic Time-series Study (BATS) site in the Sargasso Sea from October 1988 through December 2025 (Bermuda Atlantic Time-series Study) Data presented here are discrete bottle samples from the Bermuda Atlantic Time-series Study (BATS) site located 80 km SE of Bermuda (31°40N, 64°10W) in the Sargasso Sea for October 1988 (cruise 10001) through December 2025 (cruise 10434). Measurements were collected from the core monthly BATS cruises and the near-biweekly (depending on ship availability) BATS Bloom cruises during February through April. The sample parameter list has been mostly consistent for the full time-series record and includes: salinity, dissolved oxygen, dissolved inorganic carbon, alkalinity, nutrients (nitrate + nitrite, nitrite, phosphate, silicate), particulate organics (carbon, nitrogen, phosphorous), particulate silicate, total organic carbon and nitrogen, total dissolved phosphorus, bacterial enumeration, and flow cytometry counts of picoplankton. The HPLC derived phytoplankton pigment data which are collected synoptically with many of the above parameters are reported in a separate dataset.\n\ncdm_data_type = Other\nVARIABLES:\ntime (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\nBottle_ID (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\nVessel (unitless)\nCruise_num (unitless)\nCruise_type (unitless)\nCast_num (unitless)\nBottle_num (unitless)\nQF_bottle (unitless)\ndepth (m)\nQF_Depth (unitless)\nTemperature (degrees Celsius ( °C))\nQF_Temp (unitless)\nCTD_Salinity (dimensionless)\nQF_CTD_Sal (unitless)\nSalinity (dimensionless)\n... (48 more variables)\n BCO-DMO bcodmo_dataset_3782_v10
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_3782_v7 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_3782_v7.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_3782_v7/ public [BATS discrete bottle data] - Discrete bottle samples collected at the Bermuda Atlantic Time-series Study (BATS) site in the Sargasso Sea from October 1988 through June 2024 (Bermuda Atlantic Time-series Study) Data presented here are discrete bottle samples from the Bermuda Atlantic Time-series Study (BATS) site located 80 km SE of Bermuda (31°40N, 64°10W) in the Sargasso Sea for October 1988 (cruise 10001) through June 2024 (cruise 10416). Measurements were collected from the core monthly BATS cruises and the near-biweekly (depending on ship availability) BATS Bloom cruises during February through April. The sample parameter list has been mostly consistent for the full time-series record and includes: salinity, dissolved oxygen, dissolved inorganic carbon, alkalinity, nutrients (nitrate + nitrite, nitrite, phosphate, silicate), particulate organics (carbon, nitrogen, phosphorous), particulate silicate, total organic carbon and nitrogen, total dissolved phosphorus, bacterial enumeration, and flow cytometry counts of picoplankton. The HPLC derived phytoplankton pigment data which are collected synoptically with many of the above parameters are reported in a separate dataset.\n\ncdm_data_type = Other\nVARIABLES:\ntime (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\nBottle_ID (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\nVessel (unitless)\nCruise_ID (unitless)\nCruise_type (unitless)\nCruise_num (unitless)\nCast_num (unitless)\nBottle_num (unitless)\nQF_bottle (unitless)\ndepth (m)\nQF_Depth (unitless)\nTemperature (degrees Celsius ( °C))\nQF_Temp (unitless)\nCTD_Salinity (dimensionless)\nQF_CTD_Sal (unitless)\n... (49 more variables)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_3782_v7_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_3782_v7_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_3782_v7/index.htmlTable https://osprey.bco-dmo.org/dataset/3782 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_3782_v7.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_3782_v7&showErrors=false&email= BCO-DMO bcodmo_dataset_3782_v7
log in [BATS discrete bottle data] - Discrete bottle samples collected at the Bermuda Atlantic Time-series Study (BATS) site in the Sargasso Sea from October 1988 through June 2025 (Bermuda Atlantic Time-series Study) Data presented here are discrete bottle samples from the Bermuda Atlantic Time-series Study (BATS) site located 80 km SE of Bermuda (31°40N, 64°10W) in the Sargasso Sea for October 1988 (cruise 10001) through June 2025 (cruise 10428). Measurements were collected from the core monthly BATS cruises and the near-biweekly (depending on ship availability) BATS Bloom cruises during February through April. The sample parameter list has been mostly consistent for the full time-series record and includes: salinity, dissolved oxygen, dissolved inorganic carbon, alkalinity, nutrients (nitrate + nitrite, nitrite, phosphate, silicate), particulate organics (carbon, nitrogen, phosphorous), particulate silicate, total organic carbon and nitrogen, total dissolved phosphorus, bacterial enumeration, and flow cytometry counts of picoplankton. The HPLC derived phytoplankton pigment data which are collected synoptically with many of the above parameters are reported in a separate dataset.\n\ncdm_data_type = Other\nVARIABLES:\ntime (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\nBottle_ID (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\nVessel (unitless)\nCruise_num (unitless)\nCruise_type (unitless)\nCast_num (unitless)\nBottle_num (unitless)\nQF_bottle (unitless)\ndepth (m)\nQF_Depth (unitless)\nTemperature (degrees Celsius ( °C))\nQF_Temp (unitless)\nCTD_Salinity (dimensionless)\nQF_CTD_Sal (unitless)\nSalinity (dimensionless)\n... (48 more variables)\n BCO-DMO bcodmo_dataset_3782_v9
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_893521_v6 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_893521_v6.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_893521_v6/ public [BATS HPLC pigments] - HPLC and fluorometric derived phytoplankton pigment concentrations from seawater collected at the Bermuda Atlantic Time-series Study (BATS) site from October 1988 through December 2023 (Bermuda Atlantic Time-series Study) Data presented here contain HPLC derived phytoplankton pigments and fluorometric chlorophyll-a from the BATS site for years 1988 to 2023.  Water samples are typically collected from 12 depths in the upper 250 meters of the water column, and then filtered under low vacuum through a 25mm GF/F filter. The filter is then flash frozen in liquid nitrogen and stored at -80 degrees C. Shoreside, analysis is performed on an HPLC using a method modified by Dr. R. Bidigare from the Wright et al. (1991) procedure.  This method identifies the pigments chlorophyll-c3, chlorophyll-c2, peridinin, 19'-butanoyloxyfucoxanthin, fucoxanthin, 19'-hexanoyloxyfucoxanthin, prasinoxanthin, diadinoxanthin, alloxanthin, diatoxanthin, lutein, zeaxanthin, chlorophyll-b, chlorophyll-a, divinyl chlorophyllide-a, alpha and beta carotene. Additionally, chlorophyll-a and phaeopigments are analyzed using a fluorometric assay.\n\ncdm_data_type = Other\nVARIABLES:\nID (unitless)\ntime (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\nVessel (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\nCruise_type (unitless)\nCruise_num (unitless)\nCast (unitless)\nCast_type (unitless)\nBottle_number (unitless)\nQF_Niskin_GoFlo (uniteless)\ndepth (m)\nQF_depth (unitless)\np1 (nanograms per kilogram (ng/kg))\nQF_p1 (unitless)\np2 (nanograms per kilogram (ng/kg))\nQF_p2 (unitless)\np3 (nanograms per kilogram (ng/kg))\n... (40 more variables)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_893521_v6_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_893521_v6_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_893521_v6/index.htmlTable https://www.bco-dmo.org/dataset/893521 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_893521_v6.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_893521_v6&showErrors=false&email= BCO-DMO bcodmo_dataset_893521_v6
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_893521_v8 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_893521_v8.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_893521_v8/ public [BATS HPLC pigments] - HPLC and fluorometric derived phytoplankton pigment concentrations from seawater collected at the Bermuda Atlantic Time-series Study (BATS) site from October 1988 through December 2024 (Bermuda Atlantic Time-series Study) Data presented here contain HPLC derived phytoplankton pigments and fluorometric chlorophyll-a from the BATS site for October 1988 to December 2024. Samples are typically collected from 12 depths in the upper 250 meters of the water column where by 4l of seawater is filtered under low vacuum through a 25mm GF/F filter. The filter is then flash frozen in liquid nitrogen and stored at -80C. Shoreside, analysis is performed on a HPLC using a modified version of Wright et al., 1991 (modified by Dr R. Bidigare,University of Hawaii) which identifies the following pigments: Chlorophyll C3, Chlorophyll C2, Peridinin, 19'Butanoyloxyfucoxanthin, Fucoxanthin, 19'Hexanoyloxyfucoxanthin, Prasinoxanthin, Violoxanthin, Diadinoxanthin, Alloxanthin, Diatoxanthin, Lutein, Zeaxanthin, Chlorophyll b, Chlorophyll a, Divinyl, chlorophyll_a, Alpha and beta carotene. Additionally, chlorophyll_A and phaeopigments are analyzed using a fluorometeric assay.\n\ncdm_data_type = Other\nVARIABLES:\nID (unitless)\ntime (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\nVessel (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\nCruise_type (unitless)\nCruise_num (unitless)\nCast (unitless)\nCast_type (unitless)\nBottle_number (unitless)\nQF_Niskin_GoFlo (uniteless)\ndepth (m)\nQF_depth (unitless)\np1 (nanograms per kilogram (ng/kg))\nQF_p1 (unitless)\np2 (nanograms per kilogram (ng/kg))\nQF_p2 (unitless)\np3 (nanograms per kilogram (ng/kg))\n... (40 more variables)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_893521_v8_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_893521_v8_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_893521_v8/index.htmlTable https://osprey.bco-dmo.org/dataset/893521 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_893521_v8.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_893521_v8&showErrors=false&email= BCO-DMO bcodmo_dataset_893521_v8
log in [BATS HPLC pigments] - HPLC and fluorometric derived phytoplankton pigment concentrations from seawater collected at the Bermuda Atlantic Time-series Study (BATS) site from October 1988 through December 2025 (Bermuda Atlantic Time-series Study) Data presented here contain HPLC derived phytoplankton pigments and fluorometric chlorophyll-a from the BATS site for October 1988 to December 2025. Samples are typically collected from 12 depths in the upper 250 meters of the water column where by 4l of seawater is filtered under low vacuum through a 25mm GF/F filter. The filter is then flash frozen in liquid nitrogen and stored at -80C. Shoreside, analysis is performed on a HPLC using a modified version of Wright et al., 1991 (modified by Dr R. Bidigare,University of Hawaii) which identifies the following pigments: Chlorophyll C3, Chlorophyll C2, Peridinin, 19'Butanoyloxyfucoxanthin, Fucoxanthin, 19'Hexanoyloxyfucoxanthin, Prasinoxanthin, Violoxanthin, Diadinoxanthin, Alloxanthin, Diatoxanthin, Lutein, Zeaxanthin, Chlorophyll b, Chlorophyll a, Divinyl, chlorophyll_a, Alpha and beta carotene. Additionally, chlorophyll_A and phaeopigments are analyzed using a fluorometeric assay.\n\ncdm_data_type = Other\nVARIABLES:\nID (unitless)\ntime (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\nVessel (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\nCruise_type (unitless)\nCruise_num (unitless)\nCast (unitless)\nCast_type (unitless)\nBottle_number (unitless)\nQF_Niskin_GoFlo (uniteless)\ndepth (m)\nQF_depth (unitless)\np1 (nanograms per kilogram (ng/kg))\nQF_p1 (unitless)\np2 (nanograms per kilogram (ng/kg))\nQF_p2 (unitless)\np3 (nanograms per kilogram (ng/kg))\n... (40 more variables)\n BCO-DMO bcodmo_dataset_893521_v10
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_893521_v7 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_893521_v7.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_893521_v7/ public [BATS HPLC pigments] - HPLC and fluorometric derived phytoplankton pigment concentrations from seawater collected at the Bermuda Atlantic Time-series Study (BATS) site from October 1988 through June 2024 (Bermuda Atlantic Time-series Study) Data presented here contain HPLC derived phytoplankton pigments and fluorometric chlorophyll-a from the BATS site for October 1988 to June 2024. Samples are typically collected from 12 depths in the upper 250 meters of the water column where by 4l of seawater is filtered under low vacuum through a 25mm GF/F filter. The filter is then flash frozen in liquid nitrogen and stored at -80C. Shoreside, analysis is performed on a HPLC using a modified version of Wright et al., 1991 (modified by Dr R. Bidigare,University of Hawaii) which identifies the following pigments: Chlorophyll C3, Chlorophyll C2, Peridinin, 19'Butanoyloxyfucoxanthin, Fucoxanthin, 19'Hexanoyloxyfucoxanthin, Prasinoxanthin, Violoxanthin, Diadinoxanthin,, Alloxanthin, Diatoxanthin, Lutein, Zeaxanthin, Chlorophyll b, Chlorophyll a, Divinyl, chlorophyll_a, Alpha and beta carotene. Additionally, chlorophyll_A and phaeopigments are analyzed using a fluorometeric assay.\n\ncdm_data_type = Other\nVARIABLES:\nID (unitless)\ntime (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\nVessel (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\nCruise_type (unitless)\nCruise_num (unitless)\nCast (unitless)\nCast_type (unitless)\nBottle_number (unitless)\nQF_Niskin_GoFlo (uniteless)\ndepth (m)\nQF_depth (unitless)\np1 (nanograms per kilogram (ng/kg))\nQF_p1 (unitless)\np2 (nanograms per kilogram (ng/kg))\nQF_p2 (unitless)\np3 (nanograms per kilogram (ng/kg))\n... (40 more variables)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_893521_v7_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_893521_v7_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_893521_v7/index.htmlTable https://www.bco-dmo.org/dataset/893521 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_893521_v7.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_893521_v7&showErrors=false&email= BCO-DMO bcodmo_dataset_893521_v7
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_893521_v9 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_893521_v9.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_893521_v9/ public [BATS HPLC pigments] - HPLC and fluorometric derived phytoplankton pigment concentrations from seawater collected at the Bermuda Atlantic Time-series Study (BATS) site from October 1988 through June 2025 (Bermuda Atlantic Time-series Study) Data presented here contain HPLC derived phytoplankton pigments and fluorometric chlorophyll-a from the BATS site for October 1988 to June 2025. Samples are typically collected from 12 depths in the upper 250 meters of the water column where by 4l of seawater is filtered under low vacuum through a 25mm GF/F filter. The filter is then flash frozen in liquid nitrogen and stored at -80C. Shoreside, analysis is performed on a HPLC using a modified version of Wright et al., 1991 (modified by Dr R. Bidigare,University of Hawaii) which identifies the following pigments: Chlorophyll C3, Chlorophyll C2, Peridinin, 19'Butanoyloxyfucoxanthin, Fucoxanthin, 19'Hexanoyloxyfucoxanthin, Prasinoxanthin, Violoxanthin, Diadinoxanthin, Alloxanthin, Diatoxanthin, Lutein, Zeaxanthin, Chlorophyll b, Chlorophyll a, Divinyl, chlorophyll_a, Alpha and beta carotene. Additionally, chlorophyll_A and phaeopigments are analyzed using a fluorometeric assay.\n\ncdm_data_type = Other\nVARIABLES:\nID (unitless)\ntime (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\nVessel (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\nCruise_type (unitless)\nCruise_num (unitless)\nCast (unitless)\nCast_type (unitless)\nBottle_number (unitless)\nQF_Niskin_GoFlo (uniteless)\ndepth (m)\nQF_depth (unitless)\np1 (nanograms per kilogram (ng/kg))\nQF_p1 (unitless)\np2 (nanograms per kilogram (ng/kg))\nQF_p2 (unitless)\np3 (nanograms per kilogram (ng/kg))\n... (40 more variables)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_893521_v9_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_893521_v9_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_893521_v9/index.htmlTable https://osprey.bco-dmo.org/dataset/893521 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_893521_v9.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_893521_v9&showErrors=false&email= BCO-DMO bcodmo_dataset_893521_v9
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_893182_v4 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_893182_v4.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_893182_v4/ public [BATS primary production] - Primary productivity estimates from the incubation of seawater collected at the Bermuda Atlantic Time-series Study (BATS) site from December 1988 through December 2023 (Bermuda Atlantic Time-series Study) Data presented are primary production estimates at the Bermuda Atlantic Time-series Study (BATS) site in the Sargasso Sea from December 1988 (BATS Cruise 3) through December 2023 (BATS cruise 399). The rate of carbon fixation by autotrophs in seawater was determined by tracing the uptake of radioactive 14C from the inorganic form to the particulate organic form. Incubations were performed in situ at depths ranging from the surface to 140 meters from dusk to dawn. Seawater samples were collected prior to sunrise, separated into three light bottles and one dark bottle, and a radioactive 14C tracer added. The bottles were then deployed on an incubation array at their collection depths, and allowed to drift on the array for the full light day. Samples were recovered after sunset and filtered for subsequent analysis on a liquid scintillation counter.\n\ncdm_data_type = Other\nVARIABLES:\nID (unitless)\nDate (unitless)\nISO_DateTime_UTC_in (seconds since 1970-01-01T00:00:00Z)\nISO_DateTime_UTC_out (seconds since 1970-01-01T00:00:00Z)\nVessel (unitless)\nLatitude_in (degrees_north)\nLongitude_in (degrees_east)\nLatitude_out (degrees_north)\nLongitude_out (degrees_east)\nCruise_type (unitless)\nCruise_num (unitless)\nCast_type (unitless)\nCast_num (unitless)\nBottle_num (unitless)\nQF_Niskin_GoFlo (unitless)\ndepth (m)\nQF1_Depth (unitless)\nPressure (units)\nQF2_Pressure (unitless)\n... (22 more variables)\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_893182_v4/index.htmlTable https://www.bco-dmo.org/dataset/893182 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_893182_v4.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_893182_v4&showErrors=false&email= BCO-DMO bcodmo_dataset_893182_v4
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_893182_v6 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_893182_v6.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_893182_v6/ public [BATS primary production] - Primary productivity estimates from the incubation of seawater collected at the Bermuda Atlantic Time-series Study (BATS) site from December 1988 through December 2024 (Bermuda Atlantic Time-series Study) Data presented are primary production estimates at the Bermuda Atlantic Time-series Study (BATS) site in the Sargasso Sea from December 1988 (BATS Cruise 10003) through December 2024 (BATS cruise 10422). The rate of carbon fixation by autotrophs in seawater was determined by tracing the uptake of radioactive 14C from the inorganic form to the particulate organic form. Incubations were performed in situ at depths ranging from the surface to 140 meters from dusk to dawn. Seawater samples were collected prior to sunrise, separated into three light bottles and one dark bottle, and a radioactive 14C tracer added. The bottles were then deployed on an incubation array at their collection depths, and allowed to drift on the array for the full light day. Samples were recovered after sunset and filtered for subsequent analysis on a liquid scintillation counter.\n\ncdm_data_type = Other\nVARIABLES:\nID (unitless)\nDate (unitless)\ntime (Iso_datetime_utc_in, seconds since 1970-01-01T00:00:00Z)\nISO_DateTime_UTC_out (seconds since 1970-01-01T00:00:00Z)\nVessel (unitless)\nlatitude (Latitude_in, degrees_north)\nlongitude (Longitude_in, degrees_east)\nLatitude_out (degrees_north)\nLongitude_out (degrees_east)\nCruise_type (unitless)\nCruise_num (unitless)\nCast_type (unitless)\nCast_num (unitless)\nBottle_num (unitless)\nQF_Niskin_GoFlo (unitless)\ndepth (m)\nQF1_Depth (unitless)\nPressure (units)\nQF2_Pressure (unitless)\n... (22 more variables)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_893182_v6_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_893182_v6_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_893182_v6/index.htmlTable https://osprey.bco-dmo.org/dataset/893182 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_893182_v6.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_893182_v6&showErrors=false&email= BCO-DMO bcodmo_dataset_893182_v6
log in [BATS primary production] - Primary productivity estimates from the incubation of seawater collected at the Bermuda Atlantic Time-series Study (BATS) site from December 1988 through December 2025 (Bermuda Atlantic Time-series Study) Data presented are primary production estimates at the Bermuda Atlantic Time-series Study (BATS) site in the Sargasso Sea from December 1988 (BATS Cruise 10003) through December 2025 (BATS cruise 10434). The rate of carbon fixation by autotrophs in seawater was determined by tracing the uptake of radioactive 14C from the inorganic form to the particulate organic form. Incubations were performed in situ at depths ranging from the surface to 140 meters from dusk to dawn. Seawater samples were collected prior to sunrise, separated into three light bottles and one dark bottle, and a radioactive 14C tracer added. The bottles were then deployed on an incubation array at their collection depths, and allowed to drift on the array for the full light day. Samples were recovered after sunset and filtered for subsequent analysis on a liquid scintillation counter.\n\ncdm_data_type = Other\nVARIABLES:\nID (unitless)\nDate (unitless)\nVessel (unitless)\ntime (Iso_datetime_utc_ctd_in, seconds since 1970-01-01T00:00:00Z)\nISO_DateTime_UTC_CTD_out (seconds since 1970-01-01T00:00:00Z)\nlatitude (Latitude_ctd_in, degrees_north)\nlongitude (Longitude_ctd_in, degrees_east)\nLatitude_CTD_out (degrees_north)\nLongitude_CTD_out (degrees_east)\nISO_DateTime_UTC_Array_in (seconds since 1970-01-01T00:00:00Z)\nISO_DateTime_UTC_Array_out (seconds since 1970-01-01T00:00:00Z)\nLatitude_Array_in (degrees_north)\nLongitude_Array_in (degrees_east)\nLatitude_Array_out (degrees_north)\nLongitude_Array_out (degrees_east)\nCruise_type (unitless)\nCruise_num (unitless)\nCast_type (unitless)\nCast_num (unitless)\n... (32 more variables)\n BCO-DMO bcodmo_dataset_893182_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_893182_v8 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_893182_v8.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_893182_v8/ public [BATS primary production] - Primary productivity estimates from the incubation of seawater collected at the Bermuda Atlantic Time-series Study (BATS) site from December 1988 through December 2025 (Bermuda Atlantic Time-series Study) Data presented are primary production estimates at the Bermuda Atlantic Time-series Study (BATS) site in the Sargasso Sea from December 1988 (BATS Cruise 10003) through December 2025 (BATS cruise 10434). The rate of carbon fixation by autotrophs in seawater was determined by tracing the uptake of radioactive 14C from the inorganic form to the particulate organic form. Incubations were performed in situ at depths ranging from the surface to 140 meters from dusk to dawn. Seawater samples were collected prior to sunrise, separated into three light bottles and one dark bottle, and a radioactive 14C tracer added. The bottles were then deployed on an incubation array at their collection depths, and allowed to drift on the array for the full light day. Samples were recovered after sunset and filtered for subsequent analysis on a liquid scintillation counter.\n\ncdm_data_type = Other\nVARIABLES:\nID (unitless)\nDate (unitless)\nVessel (unitless)\ntime (Iso_datetime_utc_ctd_in, seconds since 1970-01-01T00:00:00Z)\nISO_DateTime_UTC_CTD_out (seconds since 1970-01-01T00:00:00Z)\nlatitude (Latitude_ctd_in, degrees_north)\nlongitude (Longitude_ctd_in, degrees_east)\nLatitude_CTD_out (degrees_north)\nLongitude_CTD_out (degrees_east)\nISO_DateTime_UTC_Array_in (seconds since 1970-01-01T00:00:00Z)\nISO_DateTime_UTC_Array_out (seconds since 1970-01-01T00:00:00Z)\nLatitude_Array_in (degrees_north)\nLongitude_Array_in (degrees_east)\nLatitude_Array_out (degrees_north)\nLongitude_Array_out (degrees_east)\nCruise_type (unitless)\nCruise_num (unitless)\nCast_type (unitless)\nCast_num (unitless)\n... (32 more variables)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_893182_v8_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_893182_v8_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_893182_v8/index.htmlTable https://osprey.bco-dmo.org/dataset/893182 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_893182_v8.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_893182_v8&showErrors=false&email= BCO-DMO bcodmo_dataset_893182_v8
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_893182_v5 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_893182_v5.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_893182_v5/ public [BATS primary production] - Primary productivity estimates from the incubation of seawater collected at the Bermuda Atlantic Time-series Study (BATS) site from December 1988 through June 2024 (Bermuda Atlantic Time-series Study) Data presented are primary production estimates at the Bermuda Atlantic Time-series Study (BATS) site in the Sargasso Sea from December 1988 (BATS Cruise 10003) through June 2024 (BATS cruise 10416). The rate of carbon fixation by autotrophs in seawater was determined by tracing the uptake of radioactive 14C from the inorganic form to the particulate organic form. Incubations were performed in situ at depths ranging from the surface to 140 meters from dusk to dawn. Seawater samples were collected prior to sunrise, separated into three light bottles and one dark bottle, and a radioactive 14C tracer added. The bottles were then deployed on an incubation array at their collection depths, and allowed to drift on the array for the full light day. Samples were recovered after sunset and filtered for subsequent analysis on a liquid scintillation counter.\n\ncdm_data_type = Other\nVARIABLES:\nID (unitless)\nDate (unitless)\ntime (Iso_datetime_utc_in, seconds since 1970-01-01T00:00:00Z)\nISO_DateTime_UTC_out (seconds since 1970-01-01T00:00:00Z)\nVessel (unitless)\nlatitude (Latitude_in, degrees_north)\nlongitude (Longitude_in, degrees_east)\nLatitude_out (degrees_north)\nLongitude_out (degrees_east)\nCruise_type (unitless)\nCruise_num (unitless)\nCast_type (unitless)\nCast_num (unitless)\nBottle_num (unitless)\nQF_Niskin_GoFlo (unitless)\ndepth (m)\nQF1_Depth (unitless)\nPressure (units)\nQF2_Pressure (unitless)\n... (22 more variables)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_893182_v5_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_893182_v5_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_893182_v5/index.htmlTable https://www.bco-dmo.org/dataset/893182 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_893182_v5.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_893182_v5&showErrors=false&email= BCO-DMO bcodmo_dataset_893182_v5
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_893182_v7 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_893182_v7.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_893182_v7/ public [BATS primary production] - Primary productivity estimates from the incubation of seawater collected at the Bermuda Atlantic Time-series Study (BATS) site from December 1988 through June 2025 (Bermuda Atlantic Time-series Study) Data presented are primary production estimates at the Bermuda Atlantic Time-series Study (BATS) site in the Sargasso Sea from December 1988 (BATS Cruise 10003) through June 2025 (BATS cruise 10428). The rate of carbon fixation by autotrophs in seawater was determined by tracing the uptake of radioactive 14C from the inorganic form to the particulate organic form. Incubations were performed in situ at depths ranging from the surface to 140 meters from dusk to dawn. Seawater samples were collected prior to sunrise, separated into three light bottles and one dark bottle, and a radioactive 14C tracer added. The bottles were then deployed on an incubation array at their collection depths, and allowed to drift on the array for the full light day. Samples were recovered after sunset and filtered for subsequent analysis on a liquid scintillation counter.\n\ncdm_data_type = Other\nVARIABLES:\nID (unitless)\nDate (unitless)\nVessel (unitless)\ntime (Iso_datetime_utc_ctd_in, seconds since 1970-01-01T00:00:00Z)\nISO_DateTime_UTC_CTD_out (seconds since 1970-01-01T00:00:00Z)\nlatitude (Latitude_ctd_in, degrees_north)\nlongitude (Longitude_ctd_in, degrees_east)\nLatitude_CTD_out (degrees_north)\nLongitude_CTD_out (degrees_east)\nISO_DateTime_UTC_Array_in (seconds since 1970-01-01T00:00:00Z)\nISO_DateTime_UTC_Array_out (seconds since 1970-01-01T00:00:00Z)\nLatitude_Array_in (degrees_north)\nLongitude_Array_in (degrees_east)\nLatitude_Array_out (degrees_north)\nLongitude_Array_out (degrees_east)\nCruise_type (unitless)\nCruise_num (unitless)\nCast_type (unitless)\nCast_num (unitless)\n... (32 more variables)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_893182_v7_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_893182_v7_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_893182_v7/index.htmlTable https://osprey.bco-dmo.org/dataset/893182 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_893182_v7.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_893182_v7&showErrors=false&email= BCO-DMO bcodmo_dataset_893182_v7
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_894099_v4 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_894099_v4.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_894099_v4/ public [BATS sediment trap particle flux] - Determination of carbon, nitrogen, and phosphorus content in sinking particles at the Bermuda Atlantic Time-series Study (BATS) site from December 1988 to December 2023 using a Particle Interceptor Trap System (PITS) (Bermuda Atlantic Time-series Study) Data presented here contain 35 years of elemental sinking fluxes of carbon, nitrogen, and phosphorus (C, N, P) from the Bermuda Atlantic Time-series Study site from December 1988 (BATS Cruise 3) through December 2023 (BATS Cruise 411). The BATS program uses a method developed by Knauer et al. (1979) which was used extensively in the VERTEX program. In summary, to trap oceanic sediment flux, BATS uses a floating array comprised of polycarbonate tubes (7 cm diameter by 53 cm height) containing a buffered brine solution, with polycarbonate filters at the bottom to collect flux. Four tubes are deployed at each depth (150, 200, and 300 meters) and three additional tubes for blank counts are prepared but not deployed. The floating sediment trap array with collection tubes is deployed during monthly BATS cruises for a target time of 72 hours, but deployment time is subject to change depending on weather and/or emergency conditions. After recovery, the filters are examined under a microscope to remove swimming zooplankton caught on the traps to prevent skewed end results. Three samples from each depth are acidified to remove inorganic carbon before measuring organic carbon and nitrogen using a CE440 Elemental Analyzer, while the remaining non-acidified sample is used for total carbon estimates. Additional tubes are also prepared and deployed (three per depth) for phosphorus samples that are analyzed at Bigelow Laboratory of Ocean Sciences using a separate analytical procedure supervised by Dr. Michael Lomas.\n\ncdm_data_type = Other\nVARIABLES:\nBATS_Cruise_ID (unitless)\nVessel (unitless)\nDate_deployed (unitless)\nlatitude (Latitude_deployed, degrees_north)\nlongitude (Longitude_deployed, degrees_east)\nDate_recovered (unitless)\nLatitude_recovered (degrees_north)\nLongitude_recovered (degrees_east)\nCruise_type (unitless)\nCruise_num (unitless)\ndepth (m)\nM1 (milligrams material per square meter per day (mg/m^2/day))\n... (25 more variables)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_894099_v4_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_894099_v4_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_894099_v4/index.htmlTable https://www.bco-dmo.org/dataset/894099 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_894099_v4.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_894099_v4&showErrors=false&email= BCO-DMO bcodmo_dataset_894099_v4
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_894099_v6 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_894099_v6.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_894099_v6/ public [BATS sediment trap particle flux] - Determination of carbon, nitrogen, and phosphorus content in sinking particles at the Bermuda Atlantic Time-series Study (BATS) site from December 1988 to December 2024 using a Particle Interceptor Trap System (PITS) (Bermuda Atlantic Time-series Study) Data presented here contain elemental sinking fluxes of carbon, nitrogen, and phosphorus (C, N, P) from the Bermuda Atlantic Time-series Study site from December 1988 (BATS Cruise 3) through December 2024 (BATS cruise 422). The BATS program uses a method developed by Knauer et al. (1979) which was used extensively in the VERTEX program. In summary, to trap oceanic sediment flux, BATS uses a floating array comprised of polycarbonate tubes (7 cm diameter by 53 cm height) containing a buffered brine solution, with polycarbonate filters at the bottom to collect flux. Four tubes are deployed at each depth (150, 200, and 300 meters) and three additional tubes for blank counts are prepared but not deployed. The floating sediment trap array with collection tubes is deployed during monthly BATS cruises for a target time of 72 hours, but deployment time is subject to change depending on weather and/or emergency conditions. After recovery, the filters are examined under a microscope to remove swimming zooplankton caught on the traps to prevent skewed end results. Three samples from each depth are acidified to remove inorganic carbon before measuring organic carbon and nitrogen using a CE440 Elemental Analyzer, while the remaining non-acidified sample is used for total carbon estimates. Additional tubes are also prepared and deployed (three per depth) for phosphorus samples that are analyzed at Bigelow Laboratory of Ocean Sciences using a separate analytical procedure supervised by Dr. Michael Lomas.\n\ncdm_data_type = Other\nVARIABLES:\nBATS_Cruise_ID (unitless)\nVessel (unitless)\nDate_deployed (unitless)\nlatitude (Latitude_deployed, degrees_north)\nlongitude (Longitude_deployed, degrees_east)\nDate_recovered (unitless)\nLatitude_recovered (degrees_north)\nLongitude_recovered (degrees_east)\nCruise_type (unitless)\nCruise_num (unitless)\ndepth (m)\nM1 (milligrams material per square meter per day (mg/m^2/day))\n... (23 more variables)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_894099_v6_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_894099_v6_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_894099_v6/index.htmlTable https://osprey.bco-dmo.org/dataset/894099 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_894099_v6.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_894099_v6&showErrors=false&email= BCO-DMO bcodmo_dataset_894099_v6
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_894099_v5 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_894099_v5.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_894099_v5/ public [BATS sediment trap particle flux] - Determination of carbon, nitrogen, and phosphorus content in sinking particles at the Bermuda Atlantic Time-series Study (BATS) site from December 1988 to June 2024 using a Particle Interceptor Trap System (PITS) (Bermuda Atlantic Time-series Study) Data presented here contain elemental sinking fluxes of carbon, nitrogen, and phosphorus (C, N, P) from the Bermuda Atlantic Time-series Study site from December 1988 (BATS Cruise 3) through June 2024 (BATS cruise 416). The BATS program uses a method developed by Knauer et al. (1979) which was used extensively in the VERTEX program. In summary, to trap oceanic sediment flux, BATS uses a floating array comprised of polycarbonate tubes (7 cm diameter by 53 cm height) containing a buffered brine solution, with polycarbonate filters at the bottom to collect flux. Four tubes are deployed at each depth (150, 200, and 300 meters) and three additional tubes for blank counts are prepared but not deployed. The floating sediment trap array with collection tubes is deployed during monthly BATS cruises for a target time of 72 hours, but deployment time is subject to change depending on weather and/or emergency conditions. After recovery, the filters are examined under a microscope to remove swimming zooplankton caught on the traps to prevent skewed end results. Three samples from each depth are acidified to remove inorganic carbon before measuring organic carbon and nitrogen using a CE440 Elemental Analyzer, while the remaining non-acidified sample is used for total carbon estimates. Additional tubes are also prepared and deployed (three per depth) for phosphorus samples that are analyzed at Bigelow Laboratory of Ocean Sciences using a separate analytical procedure supervised by Dr. Michael Lomas.\n\ncdm_data_type = Other\nVARIABLES:\nBATS_Cruise_ID (unitless)\nVessel (unitless)\nDate_deployed (unitless)\nlatitude (Latitude_deployed, degrees_north)\nlongitude (Longitude_deployed, degrees_east)\nDate_recovered (unitless)\nLatitude_recovered (degrees_north)\nLongitude_recovered (degrees_east)\nCruise_type (unitless)\nCruise_num (unitless)\ndepth (m)\nM1 (milligrams material per square meter per day (mg/m^2/day))\n... (23 more variables)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_894099_v5_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_894099_v5_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_894099_v5/index.htmlTable https://www.bco-dmo.org/dataset/894099 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_894099_v5.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_894099_v5&showErrors=false&email= BCO-DMO bcodmo_dataset_894099_v5
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_881861_v8 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_881861_v8.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_881861_v8/ public [BATS zooplankton biomass] - Zooplankton biomass measured from net tows conducted during ongoing monthly cruises, from April 1994 to December 2025, at the Bermuda Atlantic Time-series Study (BATS) site in the Sargasso Sea (Bermuda Atlantic Time-series Study) This dataset includes measurements of zooplankton biomass from net tows conducted during ongoing monthly cruises, from April 1994 to December 2025, at the Bermuda Atlantic Time-series Study (BATS) site (31° 40' N 64° 10'W) in the Sargasso Sea. Mesozooplankton were collected by oblique tows using a rectangular frame net with 202 micrometer (µm) mesh. Samples from tows were immediately split on board for subsequent wet and dry weight measurements.\n\ncdm_data_type = Other\nVARIABLES:\ncruisetow_number (unitless)\ncruise_number (unitless)\ncruise_type (unitless)\nR2R_cruise_ID (unitless)\ntow_number (unitless)\ntime (Iso_datetime, seconds since 1970-01-01T00:00:00Z)\nduration (minutes)\nlatitude (degrees_north)\nlongitude (degrees_east)\ndepth_max (Depth, m)\nvol_filt (cubic meters (m^3))\nwetwt_0200 (milligrams (mg))\nwetwt_0500 (milligrams (mg))\nwetwt_1000 (milligrams (mg))\nwetwt_2000 (milligrams (mg))\nwetwt_5000 (milligrams (mg))\ndrywt_0200 (milligrams (mg))\ndrywt_0500 (milligrams (mg))\ndrywt_1000 (milligrams (mg))\ndrywt_2000 (milligrams (mg))\ndrywt_5000 (milligrams (mg))\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_881861_v8_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_881861_v8_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_881861_v8/index.htmlTable https://osprey.bco-dmo.org/dataset/881861 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_881861_v8.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_881861_v8&showErrors=false&email= BCO-DMO bcodmo_dataset_881861_v8
log in [BATS/Hydrostation S: Iodine speciation and isotope ratio values] - Iodine speciation and isotope ratio values from iodine radiotracer incubation experiments conducted on the R/V Atlantic Explorer cruise AE1825 with samples collected at BATS and Hydrostation S in September of 2018 (Collaborative Research: Experimental constraints on the rates and mechanisms of iodine redox transformations in seawater) This dataset includes iodine speciation and isotope ratio values from iodine radiotracer incubation experiments conducted on the R/V Atlantic Explorer (cruise number AE1825) in September, 2018.  Samples were collected from the Bermuda Atlantic Time Series (BATS) and Hydrostation S (HYDRO) (32°N, 64°W) at 21 and 10 separate depths, respectively, between 1-4500m (BATS) and 1-500m (Hydro). \n\nSee \"Related Datasets\" section for other data from these experiments which include incubation and depth profile iodine redox (I-, IO3-, DOI) concentration measurements and measured spectrophotometer absorbance values for three incubations.\n\ncdm_data_type = Other\nVARIABLES:\nsample (unitless)\nincubation_num (unitless)\ntimepoint (unitless)\nhours (hours)\ndate_time_collected_AT (unitless)\ntime (Iso_datetime_collected_utc, seconds since 1970-01-01T00:00:00Z)\ndepth (Depth_m, m)\niodate_spec_nM (nanomolar (nM))\niodate_ICPMS_nM (nanomolar (nM))\nDOI_ICPMS_nM (nanomolar (nM))\niodide_ICPMS_nM (nanomolar (nM))\nRiodate (unitless)\nRiodide (unitless)\nRDOI (unitless)\nnotes (unitless)\n BCO-DMO bcodmo_dataset_914915_v1
log in [BATS/Hydrostation S: iodine speciation and superoxide concentration] - Iodine speciation and superoxide concentration depth profile value from iodine radiotracer incubation experiments conducted on the R/V Atlantic Explorer cruise AE1825 with samples collected at BATS and Hydrostation S in September of 2018 (Collaborative Research: Experimental constraints on the rates and mechanisms of iodine redox transformations in seawater) This dataset includes iodine speciation and Sutherland (2020) superoxide concentration depth profile values. These results are from experiments conducted on the R/V Atlantic Explorer (cruise number AE1825) in September, 2018.  Samples were collected from the Bermuda Atlantic Time Series (BATS) and Hydrostation S (HYDRO) (32°N, 64°W) at 21 and 10 separate depths, respectively, between 1-4500m (BATS) and 1-500m (Hydro). \n\nSee \"Related Datasets\" section for other data from these experiments which include 129I/127I isotope ratios of selected incubations and measured spectrophotometer absorbance values for three incubations.\n\ncdm_data_type = Other\nVARIABLES:\nsample (unitless)\niodate_spec_nM (nanomolar (nM))\niodide_ICP_MS_nM (nanomolar (nM))\naverage_concentration_USW_AFSW_superoxide_pM (picomolar (pM))\nstdev_superoxide (picomolar (pM))\nstdev_plus_superoxide (picomolar (pM))\nstdev_minus_superoxide (picomolar (pM))\ndepth (Depth_m, m)\nlocation (unitless)\nlatitude (Latitude_n, degrees_north)\nlongitude (Longitude_w, degrees_east)\ndec_year_iodate_collected_gmt (uniteless)\nnotes (unitless)\ntime (Iso_datetime_collected_utc, seconds since 1970-01-01T00:00:00Z)\n BCO-DMO bcodmo_dataset_914955_v1
log in [BATS/Hydrostation S: spectrophotometer absorbance] - Spectrophotometer absorbance for incubations from iodine radiotracer incubation experiments conducted on the R/V Atlantic Explorer cruise AE1825 with samples collected at BATS and Hydrostation S in September of 2018 (Collaborative Research: Experimental constraints on the rates and mechanisms of iodine redox transformations in seawater) This dataset includes spectrophotometer absorbance for selected incubations showing shift in trough location at 320nm from experiments conducted on the R/V Atlantic Explorer (cruise number AE1825) in September, 2018.  Samples were collected from the Bermuda Atlantic Time Series (BATS) and Hydrostation S (HYDRO) (32°N, 64°W) at 21 and 10 separate depths, respectively, between 1-4500m (BATS) and 1-500m (Hydro). \n\nSee \"Related Datasets\" section for other data from these experiments which include 129I/127I isotope ratios of selected incubations and incubation and depth profile iodine redox (I-, IO3-, DOI) concentration measurements.\n\ncdm_data_type = Other\nVARIABLES:\nincubation_num (unitless)\nsample (unitless)\nnm (nanometers (nm))\nabs (unknown)\ntimepoint (unitless)\nROS (unitless)\nhours (hours)\n BCO-DMO bcodmo_dataset_914962_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_988716_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_988716_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_988716_v1/ public [Bedford Basin 2021-2024 Seawater 234Th] - Seawater radioisotope (234Th) and carbon from sampling conducted at the Compass Station in Bedford Basin, Nova Scotia, Canada from 2021 to 2024 (Ocean Frontier Institute Seed Fund Grant: Bedford Basin 2019) This dataset includes seawater radioisotope (234Th) and particulate organic carbon (POC) data collected at the Compass Station in Bedford Basin, Nova Scotia, Canada at six time periods between 2021 and 2024. Niskin bottles (2 to 10 liters (L)) were used to obtain the water samples. Two liters of water were used for total 234Th. In situ pumps (McLane Laboratories) were also deployed to pump ~30 L of water and collect samples for particulate 234Th and POC. Two in-line filters were used: >51 micrometers (µm) (large particle fraction) and ~1 µm (small particle fraction). Filters were analyzed via non-destructive beta counting (234Th) and then for carbon content.\n\ncdm_data_type = Other\nVARIABLES:\nSampling_Date (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\ndepth (m)\nTh_234_T_CONC (decays per minute per liter)\nUnc_Th_234_T_CONC (decays per minute per liter)\nU_238_CONC (decays per minute per liter)\nUnc_U_238_CONC (decays per minute per liter)\nPart_Th_CONC (decays per minute per liter)\nUnc_Part_Th_CONC (decays per minute per liter)\nLarge_POC (micromoles carbon per liter)\nUnc_Large_POC (micromoles carbon per liter)\nSmall_POC (micromoles carbon per liter)\nUnc_Small_POC (micromoles carbon per liter)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_988716_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_988716_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_988716_v1/index.htmlTable https://osprey.bco-dmo.org/dataset/988716 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_988716_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_988716_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_988716_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_988753_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_988753_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_988753_v1/ public [Bedford Basin 2021-2024 Sediment 234Th] - Sediment radioisotope (234Th) and carbon from sampling conducted at the Compass Station in Bedford Basin, Nova Scotia, Canada from 2021 to 2024 (Ocean Frontier Institute Seed Fund Grant: Bedford Basin 2019) This dataset includes sediment radioisotope (234Th) and total organic carbon (TOC) data collected at the Compass Station in Bedford Basin, Nova Scotia, Canada at five time periods between 2021 and 2024. Sediment cores were sliced into 0.5 - 1 centimeter (cm) intervals and analyzed for excess 234Th by gamma counting and TOC at Dartmouth College and Dalhousie University, respectively. This research is done to better understand carbon cycling and particle dynamics in a coastal region of the North Atlantic.\n\ncdm_data_type = Other\nVARIABLES:\nSampling_Date (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\nLayer_Start (centimeters)\nLayer_End (centimeters)\nMid_Layer (centimeters)\nRaw_234Th (decays per minute per gram (dpm/g))\nUnc_Raw_234Th (decays per minute per gram (dpm/g))\nDecay_corr_234Th (decays per minute per gram (dpm/g))\nUnc_Decay_corr_234Th (decays per minute per gram (dpm/g))\nThxs234 (decays per minute per gram (dpm/g))\nUnc_234Thxs (decays per minute per gram (dpm/g))\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_988753_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_988753_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_988753_v1/index.htmlTable https://osprey.bco-dmo.org/dataset/988753 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_988753_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_988753_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_988753_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_990963_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_990963_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_990963_v1/ public [Belt Transect: Density] - Sea star abundance from surveys along the Oregon and Northern California rocky intertidal coastline from 2000 to 2024 (Collaborative Research: The role of calcifying algae as a determinant of rocky intertidal macrophyte community structure at a meta-ecosystem scale) This dataset includes sea star abundance data collected as part of the study described below. See the \"Related Datasets\" section for size structure data.\n\nMass mortality from disease epidemics can challenge the resistance and resilience of populations and communities. Assessing the impacts of such events and their consequences is crucially dependent on long-term datasets In 2013-16, sea star wasting disease (SSWD) caused population-wide crashes of the archetypal keystone species, the sea star Pisaster ochraceus, along the North American west coast. We used two long-term datasets to assess the resilience of Pisaster populations to this perturbation in Oregon: a 16-year time series (2007-2023) of annual predation rate at 7 sites, and a 23-year time series (2001-2024) of density and size of Pisaster at 8 sites. In spring 2015, a novel and massive Pisaster recruitment event occurred at all sites, averaging 3.00 ± 0.57 recruits m-2 (± SE), an 8,100% increase compared to pre-SSWD. Elevated but spatiotemporally variable recruitment has persisted over the subsequent decade. Before SSWD, population size structure was relatively stable, consisting mostly of large adults with virtually no recruitment. After the outbreak, density, average size, and biomass density declined at nearly all sites, while SSWD persisted at low levels, averaging ~4% symptomatic per year. As of the current period (2021-2024), density and biomass density had recovered at all sites and often overshot prior levels, but average body size recovered at only 3 of 7 sites. However, the 2014 crash and the post-2014 recruitment events apparently destabilized the populations; density remains more variable among years at all but two sites.\n\ncdm_data_type = Other\nVARIABLES:\nTransectSurveyID (unitless)\nSurveyID (unitless)\nTransectID (unitless)\nGroupCode (unitless)\nRegion (unitless)\nCape (unitless)\nCapeNum (unitless)\nSiteCode_STARS (unitless)\n... (22 more variables)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_990963_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_990963_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_990963_v1/index.htmlTable https://osprey.bco-dmo.org/dataset/990963 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_990963_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_990963_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_990963_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_990975_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_990975_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_990975_v1/ public [Belt Transect: Size] - Sea star size structure from surveys along the Oregon and Northern California rocky intertidal coastline from 2000 to 2024 (Collaborative Research: The role of calcifying algae as a determinant of rocky intertidal macrophyte community structure at a meta-ecosystem scale) This dataset includes sea star size structure data collected as part of the study described below. See the \"Related Datasets\" section for abundance data.\n\nMass mortality from disease epidemics can challenge the resistance and resilience of populations and communities. Assessing the impacts of such events and their consequences is crucially dependent on long-term datasets In 2013-16, sea star wasting disease (SSWD) caused population-wide crashes of the archetypal keystone species, the sea star Pisaster ochraceus, along the North American west coast. We used two long-term datasets to assess the resilience of Pisaster populations to this perturbation in Oregon: a 16-year time series (2007-2023) of annual predation rate at 7 sites, and a 23-year time series (2001-2024) of density and size of Pisaster at 8 sites. In spring 2015, a novel and massive Pisaster recruitment event occurred at all sites, averaging 3.00 ± 0.57 recruits m-2 (± SE), an 8,100% increase compared to pre-SSWD. Elevated but spatiotemporally variable recruitment has persisted over the subsequent decade. Before SSWD, population size structure was relatively stable, consisting mostly of large adults with virtually no recruitment. After the outbreak, density, average size, and biomass density declined at nearly all sites, while SSWD persisted at low levels, averaging ~4% symptomatic per year. As of the current period (2021-2024), density and biomass density had recovered at all sites and often overshot prior levels, but average body size recovered at only 3 of 7 sites. However, the 2014 crash and the post-2014 recruitment events apparently destabilized the populations; density remains more variable among years at all but two sites.\n\ncdm_data_type = Other\nVARIABLES:\nStarID (unitless)\nTransectDateID (unitless)\nTransectSurveyID (unitless)\nSurveyID (unitless)\nTransectID (unitless)\nGroupCode (unitless)\nRegion (unitless)\nCape (unitless)\n... (46 more variables)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_990975_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_990975_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_990975_v1/index.htmlTable https://osprey.bco-dmo.org/dataset/990975 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_990975_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_990975_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_990975_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_918134_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_918134_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_918134_v1/ public [Benthic community composition from Heron Island (2015-2020)] - Benthic community composition from Heron Island, southern Great Barrier Reef determined from 2015 to 2020 (Influence of environmental pH variability and thermal sensitivity on the resilience of reef-building corals to acidification stress) Increasing ocean temperatures threaten coral reefs globally, but corals residing in habitats that experience high thermal variability are thought to be better adapted to survive climate-induced heat stress. Here, we used long-term ecological observations and in situ temperature data from Heron Island, southern Great Barrier Reef to investigate how temperature dynamics within various thermally variable vs. thermally stable reef habitats change during a marine heatwave and the resulting consequences for coral community survival. This data set includes the benthic community composition data across eight sites at Heron Island, southern Great Barrier Reef.\n\ncdm_data_type = Other\nVARIABLES:\nYear (unitless)\ndepth (m)\nTransect (unitless)\nSite (unitless)\nLatitude (degrees_north)\nlongitude (degrees_east)\nACR_TCD (percent cover (%))\nACR_BRA (percent cover (%))\nACR_PE (percent cover (%))\nPOCI (percent cover (%))\nPOR_MASS (percent cover (%))\nPOR_ENC (percent cover (%))\nPOR_BRA (percent cover (%))\nFAV_LOB (percent cover (%))\nOther_hard (percent cover (%))\nSoft_coral (percent cover (%))\nGiant_Clam (percent cover (%))\nSea_Cuke (percent cover (%))\nOTH_INV (percent cover (%))\nMacroalgae (percent cover (%))\nHalimeda (percent cover (%))\n... (11 more variables)\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_918134_v1/index.htmlTable https://www.bco-dmo.org/dataset/918134 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_918134_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_918134_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_918134_v1
log in [Benthic community composition] - Benthic community composition from a field experiment manipulating consumer pressure and nutrient availability on a coral reef in Moorea, French Polynesia from 2018 to 2022 (Collaborative Research: Tipping points in coral reefs and their associated microbiomes: interactive effects of herbivory, nutrient enrichment, and temperature) Here we experimentally test the relative importance of alterations to top-down and bottom-up processes in driving community development and variability after a simulated disturbance on a coral reef. We use a factorial experiment manipulating consumer pressure and nutrient enrichment for four years on a coral reef in Moorea, French Polynesia. Our experiment consisted of plots (~1.25 m2 each) that manipulated access by consumers via different size openings that allowed different size fishes access to the benthos, creating four levels of consumer pressure (Very Low, Low, Medium, High). These four levels of consumer pressure were crossed with manipulations of nutrient availability with either ambient or nutrient enriched conditions. At the start of the experiment, we removed all live corals and fleshy macroalgae from the plots to mimic the effects of a severe cyclone. We quantified the abundance of benthic organisms (e.g., corals, macroalgae, etc.) for four years to assess how experimental treatments affected community development. At three time points each year (April, July/August, November - except for two time points missed due to the COVID-19 pandemic, April 2020 and November 2020), we quantified benthic cover in each exclosure via point contacts on orthorectified photomosaics. Using Olympus TG cameras, we took ~64 individual photographs of each exclosure and then generated photomosaics by stitching photographs together using Agisoft Metashape software (Agisoft Metashape Professional Version 17.0). These photomosaics generate high-resolution imagery that allows identification of benthic space holders to the lowest taxonomic level possible (genus for most corals and macroalgae). It was not possible to reliably distinguish among filamentous turf algae, bare space, and very small encrusting algae (including small CCAs and other encrusting algae) from photographs, therefore these taxa were categorized as one group. We used these data to generate percent cover estimates for each exclosure at each timepoint. Percent cover of benthic space holders was estimated via 225 random points per m2 exclosure using CoralNet software.\n\ncdm_data_type = Other\nVARIABLES:\nTime_point (unitless)\nTimepoint (unitless)\nunitless (Date)\nBlock_Plot (unitless)\nBlock (unitless)\n... (51 more variables)\n BCO-DMO bcodmo_dataset_1000908_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_897403_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_897403_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_897403_v1/ public [Benthic cover] - Benthic cover data photoquadrat images from patch reef 13 in Kāne'ohe Bay, O'ahu, Hawai'i from 2015 to 2022 (RAPID: Collaborative Research: Disentangling the effects of heat stress versus bleaching phenotype on coral performance) Increasingly frequent marine heatwaves are devastating coral reefs. Corals that survive these extreme events must rapidly recover if they are to withstand subsequent events, and long-term survival in the face of rising ocean temperatures may hinge on recovery capacity and acclimatory gains in heat tolerance over an individual's lifespan. To better understand coral recovery trajectories in the face of successive marine heatwaves, we monitored the responses of bleaching-susceptible and bleaching-resistant individuals of two dominant coral species in Hawaiʻi, Montipora capitata and Porites compressa, over a decade that included three marine heatwaves.\n\nThis dataset contains benthic cover data and photoquadrat images including point counts and organism identifications from patch reef 13 in Kāne'ohe Bay, O'ahu, Hawai'i from 2015 to 2022.\n\ncdm_data_type = Other\nVARIABLES:\nImage_ID (unitless)\nImage_name (unitless)\nmonth (unitless)\nday (unitless)\nyear (unitless)\nDate (unitless)\nAnnotation_status (unitless)\nPoints (per point)\nCoral_Juvenile (per point)\nDiseased_Coral (per point)\nLeptastrea_purpurea (per point)\nPigmented_Montipora_capitata (per point)\nPavona_varians (per point)\nPigmented_Porites_Compressa (per point)\nRecent_Dead_Coral (per point)\nAscidian (per point)\nMycale_grandis (per point)\nSponge (per point)\n... (30 more variables)\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_897403_v1/index.htmlTable https://www.bco-dmo.org/dataset/897403 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_897403_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_897403_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_897403_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_940414_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_940414_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_940414_v1/ public [Benthic DO and nutrient fluxes from sediment core incubations] - Benthic dissolved oxygen and nutrient fluxes from sediment core incubations conducted aboard the R/V Oceanus and R/V Robert G. Sproul during nine cruises from 2018-2022 from the Oregon and Washington shelf (Benthic Biogeochemical Exchange Dynamics on the Oregon Shelf) Continental shelf sediments are sinks for dissolved oxygen and sources of many major and minor nutrients required for oceanic surface primary production, resulting in a strong coupling between benthic and pelagic biogeochemical cycling. However, the influence and spatiotemporal variability of benthic remineralization on bottom-water chemistry and the supply of nutrients to surface waters has received minimal study on the Oregon-Washington (OR-WA) shelf. To expand knowledge of these areas, benthic flux measurements were made approximately quarter-annually at inner-shelf and mid-shelf sites on the Newport Hydrographic (NH) Line at 44.6˚N between December 2017 and July 2019, and again between 44.5˚N and 46.5˚N along the mid-shelf during July and September of 2022. The benthic fluxes were determined using a novel set-up for ex situ core incubations. The dataset described here details all benthic fluxes measured during sediment incubation experiments, conducted during the cruises from February 2018 to July 2019, at the sites on the NH Line, and during July and September of 2022. The paired bottom water dataset is located in a separate BCO-DMO dataset (dataset ID 793115). Additionally, during the 2022 cruises, community composition data were collected using box corers. These data are also located in a separate BCO-DMO dataset (dataset ID 880760).\n\ncdm_data_type = Other\nVARIABLES:\nCruise_ID (unitless)\nCore_number (unitless)\nSite_name (unitless)\ntime (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\nISO_DateTime_PST (unitless)\nJulian_day (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\ndepth (m)\nTemp_mean (degrees Celsius)\nTemp_std (degrees Celsius)\nDO (millimoles per square meters per day (mmol/(m^2 day)))\nDIC (millimoles per square meters per day (mmol/(m^2 day)))\n... (7 more variables)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_940414_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_940414_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_940414_v1/index.htmlTable https://www.bco-dmo.org/dataset/940414 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_940414_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_940414_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_940414_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_894761_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_894761_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_894761_v1/ public [Benthic Iron on the Oregon Shelf] - Benthic iron data on the Oregon Shelf from samples collected on R/V Oceanus cruise OC2107A during July to August 2021 (Collaborative Research: Coupling of physical and chemical processes in the shelf to basin transport of iron and iodine off Washington and Oregon) These data were obtained on two cruises to the Oregon shelf in August and November 2021. They describe the release of dissolved iron (Fe) from the benthic boundary layer and show that a sizeable fraction of this Fe is present as soluble Fe(II). Hypoxia is increasing in strength and duration on the Oregon continental shelf. Intermediate waters of the North Pacific are also experiencing deoxygenation. Lower oxygen (O2) will lead to elevated Fe(II) release and persistence in the water column, increasing the role of the Oregon continental margin as an Fe source. Coastal Oregon and North Pacific Ocean waters are often iron-limited and this increased Fe source could act as a positive feedback to Pacific deoxygenation by increasing primary production and therefore carbon supply to hypoxic intermediate waters. Understanding and simulating continental margin Fe supply will provide helpful information for predicting the condition of the future coastal ocean. Intensive modeling and monitoring already occur for these waters due to their economic significance and an improved understanding of Fe, a critical nutrient in this region, will advance these efforts. Note this version of the dataset includes data only from the August 2021 cruise.\n\ncdm_data_type = Other\nVARIABLES:\nCruise (unitless)\nDate (unitless)\nFe_only (unitless)\nStation (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\nCast (unitless)\nCast_type (unitless)\ndepth (m)\nSample_number (unitless)\nFe_II (nanomolar (nM))\nFe_II_std (nanomolar (nM))\nFe_II_flag (unitless)\nFe_II_err_flag (unitless)\ndFe (nanomolar (nM))\n... (9 more variables)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_894761_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_894761_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_894761_v1/index.htmlTable https://osprey.bco-dmo.org/dataset/894761 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_894761_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_894761_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_894761_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_907661_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_907661_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_907661_v1/ public [Benthic Survey Data] - Benthic survey of Looe Key and Wonderland Reef conducted in 10-15 December 2023 (Collaborative Research: The Influence of Sponge Holobiont Metabolism on Coral Reef Dissolved Organic Matter and Reef Microorganisms) The benthic survey of Looe Key and Wonderland Reef was conducted by using a 100 m transect underwater above the reef. Species were identified and recorded every 10 cm on the transect. This created a transect with 100 points, which was then converted into percent cover of benthic species. The data recorded from the transects was compiled and analyzed to determine which reef has a higher density of sponges, and which reef has a higher density of coral. Four of the five surveys were conducted in Looe Key, and one survey was conducted in Wonderland Reef. Each survey included three separate transects. Wonderland Reef has about twice the percent cover of sponges (~31%), while Looe Key Reef has ~15.6% sponge cover. The percent cover of stony corals, octocorals, and hard substrate were similar at the two sites whilst Looe Key maintained a higher cover of palythoa (an invasive zoanthid) than Wonderland Reef.\n\ncdm_data_type = Other\nVARIABLES:\nSite (Unitless)\nDate (Unitless)\nSurveyors (Unitless)\nLatitude (degrees_north)\nlongitude (degrees_east)\nOctocoral_Briareum (individuals)\nOctocoral_Gorgonia_ventalina (individuals)\nOctocoral_Antillogorgia (individuals)\nOctocoral_Eunicea (individuals)\nOctocoral_Muricea (individuals)\nOctocoral_Plexaura (individuals)\nOctocoral_Pterogorgia (individuals)\nTotal_Octocorals (individuals)\nSponge_Xestospongia_muta (individuals)\nSponge_Aplysina_cauliformis (individuals)\nSponge_Aplysina_fulva (individuals)\nSponge_Callyspongia_armigera (individuals)\nSponge_Iotrochota_birotulata (individuals)\n... (41 more variables)\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_907661_v1/index.htmlTable https://www.bco-dmo.org/dataset/907661 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_907661_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_907661_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_907661_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_998301_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_998301_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_998301_v1/ public [Bermuda carbonate platform sediment export to the deep] - Sediment-trap particle flux and composition measurements before, during, and after the passage of Hurricane Fabian (2003) and Hurricane Igor (2010) that resuspended large amounts of sediment from the Bermuda Platform (Time Series Particle Flux Measurements in the Sargasso Sea) This dataset includes sediment-trap particle flux and composition measurements from the study described below:\n\nTropical cyclones erode and remobilize coastal sediments but their impact on the deep ocean remains unclear. Hurricane-driven transport of carbonates and associated materials from reef carbonate platforms to the deep ocean has important implications for carbon storage, deep ecosystems, and ocean chemistry as carbonate platform reef-sourced aragonite and high-Mg calcite (HMC) may dissolve and contribute to deep water total alkalinity. These data were used to describe two hurricane-driven resuspension events where deep sediment plumes from the Bermuda Pedestal (NW Atlantic) were advected to deep waters surrounding the Oceanic Flux Program (OFP) mooring site, ∼75 kilometers (km) southeast of Bermuda. Hurricanes Fabian (Cat. 3, 2003) and Igor (Cat. 1, 2010) generated large near-inertial waves propagating to greater than 750-meter (m) depths, leading to widespread sediment resuspension from the Pedestal. Following Fabian, carbonate fluxes at the OFP site increased 15-fold, 32-fold, and 6-fold at 500, 1,500 and 3,200 m, respectively, with the 1,500 m flux equivalent to the total annual carbonate flux. OFP traps similarly captured a large detrital carbonate plume following Igor; here, the plume was shallower and persisted longer. Microscopy, geochemistry, and mineralogy confirmed that both plumes consisted of fine-grained shallow-water detrital carbonates alongside other materials accumulated on the Pedestal including phosphorus, lithogenic, authigenic, and pollutant elements. Clay-sized particles (less than 4 micrometers (μm)) in both plumes exhibited high contents of lithogenic and authigenic elements, and Zn, Cd, and V, facilitating their transport over long distances. Grain-size, elemental, and lipid composition indicated that plumes intercepted at different depths originated from different source areas on the Pedestal.\n\ncdm_data_type = Other\nVARIABLES:\ndepth (m)\nHurricane (unitless)\npre_passage_post_hurricane (units)\nlatitude (degrees_north)\nlongitude (degrees_east)\n... (31 more variables)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_998301_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_998301_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_998301_v1/index.htmlTable https://osprey.bco-dmo.org/dataset/998301 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_998301_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_998301_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_998301_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_953193_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_953193_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_953193_v1/ public [Bio-optical measurements] - Bio-optical measurements made using the shipboard flow-through system within three hours of CTD casts conducted on R/V Robert Gordon Sproul cruises along the Southern California coast during July and August 2023 (Postdoctoral Fellowship: OCE-PRF: Smoke on the water: the impacts of wildfire ash deposition on surface ocean biology) These data include bio-optical measurements made using the shipboard flow-through system within three hours of CTD casts conducted on the R/V Robert Gordon Sproul (SP2319, SP2320) between dates 2023-07-28 and 2023-08-19 along the Southern California coast. These data were collected to provide context for the incubation experiments that were also conducted on board. Incubations were comprised of dilution experiments to assess phytoplankton growth and microzooplankton grazing rates and dissolved organic carbon (DOC) remineralization bioassays to assess bacterioplankton growth and DOC degradation. \n\nDeposition of wildfire ash on the ocean can fertilize microbial production but also has the potential to inhibit microbial growth due to heavy metal toxicity. The data collected from these field experiments can contribute to elevating understanding of wildfire-driven material transfer from the terrestrial system to the ocean and its impact on carbon and energy flow in marine food webs. These data were collected by Dr. Nicholas Baetge, Dr. Jason Graff, Dr. Allen Milligan, Brian Ver Wey, and Parker Hansen of Oregon State University. Data were also collected by Dr. Craig Carlson, Elisa Halewood, and Keri Opalk of the University of California Santa Barbara.\n\ncdm_data_type = Other\nVARIABLES:\nstn (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\ntime (Dt, seconds since 1970-01-01T00:00:00Z)\nbbp_470 (reciprocal meters (1/m))\nbbp_532 (reciprocal meters (1/m))\nbbp_660 (reciprocal meters (1/m))\nap_470 (reciprocal meters (1/m))\nap_532 (reciprocal meters (1/m))\nap_660 (reciprocal meters (1/m))\ncp_470 (reciprocal meters (1/m))\ncp_532 (reciprocal meters (1/m))\ncp_660 (reciprocal meters (1/m))\npoc_cp_660 (milligrams per cubic meter (mg/m3))\nchl_ap676lh (milligrams per cubic meter (mg/m3))\ngamma_cp (unitless)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_953193_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_953193_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_953193_v1/index.htmlTable https://www.bco-dmo.org/dataset/953193 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_953193_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_953193_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_953193_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_931843_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_931843_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_931843_v1/ public [Biogenic and lithogenic silica in Southern Ocean marine suspended particulate material (0-1000 m)] - Biogenic and lithogenic silica concentrations from marine suspended particles collected during the 2011 CLIVAR S04P expedition on RVIB Nathaniel B. Palmer from February 19 to April 19, 2011 (Collaborative Research: Iron Incorporation into Biogenic Silica) This dataset reports biogenic and lithogenic silica concentrations (in micromoles per liter (µmol/L)) from marine suspended particles collected during the 2011 CLIVAR S04P expedition on RVIB Nathaniel B. Palmer, 19 Feb-19 April 2011, which followed the 67° South parallel in the Pacific sector of the Southern Ocean, from the Ross Sea to the Western Antarctic Peninsula. Water from the upper 1000 meters was collected using a contamination-free trace metal rosette (12-liter Teflon-coated GO-Flo bottles). Samples were collected by Dr. Chris Measures (University of Hawaii-Manoa), Dr. William Landing (Florida State University), and Mr. Brian Kilgore (Florida State University). Samples were processed by Dr. Pete Morton (Florida State University) in the laboratory of Dr. Jeffrey Krause (Dauphin Island Sea Lab). These data serve as a proxy for the abundance and biogeographic distribution of siliceous phytoplankton, especially diatoms.\n\ncdm_data_type = Other\nVARIABLES:\nStation (unitless)\nDATE (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\ndepth (m)\nBSi (micromoles per liter (umol/L))\nLsi (micromoles per liter (umol/L))\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_931843_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_931843_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_931843_v1/index.htmlTable https://osprey.bco-dmo.org/dataset/931843 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_931843_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_931843_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_931843_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_945973_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_945973_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_945973_v1/ public [Biogenic Silica CTD Bottles] - Biogenic Silica from CTD samples collected during R/V Hugh R. Sharp cruise HRS2204 from Apr to May 2022 (Collaborative Research: The importance of particle disaggregation on biogeochemical flux predictions) These data include measurements of biogenic silica from CTD bottle water samples collected during a cruise on the Northeast Continental Shelf to study particle disaggregation. One cruise was completed aboard the R/V Hugh R. Sharp from 2022-04-21 through 2022-05-02 (HRS22-04), which visited a variety of stations and hydrodynamic environments associated with the Northeast Continental Shelf of the United States. Stations ranged from Georges Bank and the Great South Channel near the Gulf of Maine, Martha's Vineyard, the mouth of the Sakonnet River near Newport, Rhode Island, and Hudson Canyon near New York. These data were collected as part of a study to clarify the importance of hydrodynamic forces on the cohesion, aggregation, and breakup of marine particles. These data were collected by Dr. Austin Grubb of the Rutgers University on the cruise led by Dr. Matthew Rau (chief-sci) of the George Washington University.\n\ncdm_data_type = Other\nVARIABLES:\nID (unitless)\nStation (unitless)\nCTD (unitless)\ndepth (m)\ntime (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\nlatitude (degrees_north)\nlongitude (degrees_east)\nbSi ((umol/Si/L))\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_945973_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_945973_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_945973_v1/index.htmlTable https://www.bco-dmo.org/dataset/945973 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_945973_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_945973_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_945973_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_942884_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_942884_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_942884_v1/ public [Biogeochemical Measurements from Surface Waters at the North Shore of Mo'orea, French Polynesia] - Biogeochemical and microbial parameters collected during spatial surveys on a coral reef at Mo'orea's North Shore (French Polynesia) in September 2017, May 2019, and April 2022 (Collaborative Research: Characterizing microbial transformation of marine DOM at the molecular level using untargeted metabolomic) This data includes biogeochemical and microbial parameters collected during spatial surveys on a coral reef at Mo'orea's North Shore (French Polynesia). Sampling took place in September 2017, May 2019, and April 2022. In 2019 and 2022, samples were also collected across three midday Lagrangian transect deployments, following water flowing linearly from ocean-facing forereefs over a reef crest to backreef lagoons. A variety of methods were used including colorimetric detection of inorganic nutrients, high-temperature combustion/oxidation, or chemical oxidation for the analysis of dissolved organic carbon (DOC) and particulate organic carbon and nitrogen (POC and PON) concentrations, isotope ratio mass spectrometry for determining stable carbon and nitrogen isotopes of particulate organic matter (POM), scanning excitation-emissions fluorescence measurements of whole seawater to quantify fluorescent dissolved organic matter (fDOM), flow cytometry-based cell counts to quantify bacterial abundance, and liquid chromatography coupled to tandem mass spectrometry to identify individual chemical features within marine DOM. These data help to quantify how biogeochemical parameters change in this region of the reef as open ocean waters flow onto the reef, over the reef, and then mix with waters in the bay. This work helps us to better identify external nutrients to the reef and how reef organisms modify and cycle carbon, nitrogen, and phosphorus over the reef. The results may be of use to physical, chemical, and biological oceanographers who study tropical reef systems and could inform other studies in the region including those conducted as part of the Mo'orea Coral Reef (MCR) Long Term Ecology Research (LTER) program. The samples were collected, measured (for a subset as noted below), and analyzed primarily by members of Lihini Aluwihare's group.\n\ncdm_data_type = Other\nVARIABLES:\nSample_ID (unitless)\nSampling_Strategy (unitless)\nMassiveID (unitless)\nMS_Sample_ID_1 (unitless)\nMS_Sample_ID_2 (unitless)\nYear (unitless)\nlongitude (degrees_east)\nlatitude (degrees_north)\n... (41 more variables)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_942884_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_942884_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_942884_v1/index.htmlTable https://www.bco-dmo.org/dataset/942884 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_942884_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_942884_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_942884_v1
log in [BIOS-SCOPE CTD data 2016-2025] - BIOS-SCOPE CTD data collected on Atlantic Explorer cruises to the Sargasso Sea from 2016 through 2025 (Bermuda Institute of Ocean Sciences Simons Collaboration on Ocean Processes and Ecology) Dataset contains CTD data collected during R/V Atlantic Explorer cruises in the time period from 2016 up to May 2025. The data are profiles from all CTD casts conducted during the cruises, with the data binned into two decibar profiles from the downcasts. The CTD include primary CTD parameters (pressure, depth, temperature, conductivity, and salinity) plus auxiliary measurements of dissolved oxygen, beam attenuation, relative fluorescence, and photosynthetic active radiation (PAR). Profiles were collected using a standard Sea-Bird SBE-09 plus CTD during the BIOS-SCOPE cruises. Data are processed following the methods of Knap et al., 1997 with the final product being reported as two decibar averages and all profiles for each cruise are reported in a single cruise file. The file also includes derived parameters (mixed layer depths, season, sunrise, sunset, vertical zone) calculated as described in Curry et al. (2026).\n\ncdm_data_type = Other\nVARIABLES:\nBATS_id (unitless)\ncruise (unitless)\ncast (unitless)\ndate (unitless)\nyear (unitless)\nmonth (unitless)\nday (unitless)\nhour (unitless)\ndoy (day)\nlatitude (degrees_north)\nlongitude (degrees_east)\nMLD_dens125 (meters)\nMLD_bvfrq (meters)\nMLD_densT2 (meters)\nDCM (meters)\nSeason (unitless)\nSunrise (units)\nSunset (units)\n... (20 more variables)\n BCO-DMO bcodmo_dataset_1000939_v1
log in [BIOSSCOPE Pump Amino Acid data] - Size fractionated Amino Acid data collected in the Sargasso Sea during BIOS-SCOPE cruises AE2114 and AE2123 in August and November 2021 (Bermuda Institute of Ocean Sciences Simons Collaboration on Ocean Processes and Ecology) Included in this dataset are chemical analyses of size-fractionated particle samples collected during BIOS-SCOPE project cruises in the Sargasso Sea (2021). Samples were collected using McLane WTS-LV in-situ pumps and analyzed for individual amino acid concentrations.\n\ncdm_data_type = Other\nVARIABLES:\nSample_ID (unitless)\nCruise (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\nDate (units)\nSize_fraction (micrometers (um))\nFilter_type (unitless)\ndepth (m)\nAsp (nanomoles carbon per liter)\nAsp_sd (nanomoles carbon per liter)\nGlu (nanomoles carbon per liter)\nGlu_sd (nanomoles carbon per liter)\nHisSer (nanomoles carbon per liter)\nHisSer_sd (nanomoles carbon per liter)\nArg (nanomoles carbon per liter)\nArg_sd (nanomoles carbon per liter)\nThr (nanomoles carbon per liter)\nThr_sd (nanomoles carbon per liter)\nGly (nanomoles carbon per liter)\nGly_sd (nanomoles carbon per liter)\nBala (nanomoles carbon per liter)\nBala_sd (nanomoles carbon per liter)\nTyr (nanomoles carbon per liter)\nTyr_sd (nanomoles carbon per liter)\nAla (nanomoles carbon per liter)\n... (15 more variables)\n BCO-DMO bcodmo_dataset_964684_v1
log in [BIOSSCOPE Pump carbohydrate data] - Size fractionated carbohydrate data collected in the Sargasso Sea during BIOS-SCOPE cruises AE2114 and AE2123 in August and November 2021 (Bermuda Institute of Ocean Sciences Simons Collaboration on Ocean Processes and Ecology) Included in this dataset are chemical analyses of size-fractionated particle samples collected during BIOS-SCOPE project cruises in the Sargasso Sea (2021). Samples were collected using McLane WTS-LV in-situ pumps and analyzed for carbohydrate monomers.\n\ncdm_data_type = Other\nVARIABLES:\nSample_ID (unitless)\nCruise (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\nDate (unitless)\nSize_fraction (micrometers (um))\nFilter_type (unitless)\ndepth (m)\nFucose (nanomoles carbon per liter (nmol C/L))\nFucose_sd (nanomoles carbon per liter (nmol C/L))\nRhamnose (nanomoles carbon per liter (nmol C/L))\nRhamnose_sd (nanomoles carbon per liter (nmol C/L))\nGalactosamine (nanomoles carbon per liter (nmol C/L))\nGalactosamine_sd (nanomoles carbon per liter (nmol C/L))\nArabinose (nanomoles carbon per liter (nmol C/L))\nArabinose_sd (nanomoles carbon per liter (nmol C/L))\nGlucosamine (nanomoles carbon per liter (nmol C/L))\nGlucosamine_sd (nanomoles carbon per liter (nmol C/L))\nGalactose (nanomoles carbon per liter (nmol C/L))\nGalactose_sd (nanomoles carbon per liter (nmol C/L))\nGlucose (nanomoles carbon per liter (nmol C/L))\nGlucose_sd (nanomoles carbon per liter (nmol C/L))\nMannoseXylose (nanomoles carbon per liter (nmol C/L))\nMannoseXylose_sd (nanomoles carbon per liter (nmol C/L))\nRibose (nanomoles carbon per liter (nmol C/L))\n... (7 more variables)\n BCO-DMO bcodmo_dataset_964801_v1
log in [BIOSSCOPE Pump POM data] - Size Fractionated Particulate Organic Carbon (POC) and Particulate Organic Nitrogen (PON) collected during BIOS-SCOPE cruises (2018-2023) (Bermuda Institute of Ocean Sciences Simons Collaboration on Ocean Processes and Ecology) Included in this dataset are chemical analyses of size-fractionated particle samples collected during BIOS-SCOPE project cruises in the Sargasso Sea (2018-2023). Samples were collected using McLane WTS-LV in-situ pumps and analyzed for bulk particulate organic carbon (POC) and particulate organic nitrogen (PON).\n\ncdm_data_type = Other\nVARIABLES:\nSample_ID (unitless)\nCruise (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\nDate (unitless)\nSize_fraction (micrometers (um))\nFilter_type (unitless)\ndepth (m)\nDepth_sd (meters (m))\nPN (micrograms per liter (ug/L))\nPN_sd (micrograms per liter (ug/L))\nPOC (micrograms per liter (ug/L))\nPOC_sd (micrograms per liter (ug/L))\nCN_acnonac (mole to mole (mol/mol))\nCN_acnonac_sd (mole to mole (mol/mol))\n BCO-DMO bcodmo_dataset_964826_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_995690_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_995690_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_995690_v1/ public [Bivalve Boron Isotopes] - Boron isotope data from bivalves from 2022 tank experiment in the Gulf of Maine, USA (Collaborative Research: Using multi-proxy paleo data to constrain natural and anthropogenic hydrographic variability in the Gulf of Maine System over the last 250 years) The boron isotopic composition (δ11Bc) of many marine carbonates provides insight into the pH at the site of calcification within biocalcifiers and, by extension, the pH of ambient seawater when the carbonate formed.\n\nA 20.5-week flowthrough tank experiment was conducted in which four species of commercially important bivalves from the northwest Atlantic Ocean were grown in tanks with controlled pHT (pH 7.4 to 8.0) and temperature conditions (6 to 12 °C). A total of 106 shell samples from 99 individuals of adult and juvenile Arctica islandica (ocean quahog), juvenile Mercenaria mercenaria (northern quahog or hard clam), juvenile Mya arenaria (soft-shell clam), and juvenile Placopecten magellanicus (Atlantic sea scallop) were analyzed from this controlled experiment to assess the seawater pH, temperature, and growth rate controls on shell δ11Bc. Juvenile P. magellanicus and juvenile M. mercenaria demonstrated significant relationships (R≥0.60; p-value <0.006) between tank pHT and δ11Bc, suggesting potential utility as proxies for past ambient seawater pH. Conversely, the δ11Bc of juvenile A. islandica and juvenile M. arenaria did not yield a strong relationship with seawater pHT but instead yielded significant relationships with shell growth rate (linear extension), with a positive relationship for M. arenaria and a negative relationship for juvenile A. islandica. The δ11B results from the few (n=9) adult A. islandica shells measured show the most variability across the range of pH and temperatures (range of 16‰), and no significant relationship was found with seawater pH or growth rate. Despite rigorous oxidative cleaning of samples, the data suggest that adult A. islandica shells contain boron-rich organic phases resistant to traditional cleaning techniques.\n\nThe data on this site (summary file) include the average temperature, pH, and salinity used for the boron isotope analysis, in addition to the δ11B of the borate in water calculations, δ11B measured in the shells, the B/Ca ratio measured in the shells, and the delta pH values calculated using the above values.\n\nAdditional data include (temperature file) all temperature measurements from the tank experiment (every minute measurements) and daily averages. pH (pH file) and salinity (salinity file) data from weekly measurements are included. Data needed to perform the delta pH calculations are included (delta pH file).\n\nThe specimens grown in each tank that were used for boron isotope measurements are also included (boron specimens by tank file). This file specifies the number and species that were grown under the various tank conditions.\n\ncdm_data_type = Other\nVARIABLES:\nSampleID (unitless)\n... (9 more variables)\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_995690_v1/index.htmlTable https://osprey.bco-dmo.org/dataset/995690 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_995690_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_995690_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_995690_v1
log in [Black sea bass pCO2 experiments: Morphometrics] - Morphometrics of black sea bass reared at contrasting pCO2 conditions in laboratory experiments conduced with embryos from adults collected in Long Island Sound in 2022 (Collaborative research: Understanding the effects of acidification and hypoxia within and across generations in a coastal marine fish) We experimentally examined early life CO2-sensitivities of northern stock black sea bass (Centropristis striata), an ecologically and economically important fish that seasonally migrates from offshore overwintering grounds to coastal feeding and nursery areas. We produced embryos from wild spawners and reared them until 10 days post hatch (dph) at three contrasting pCO2 levels (~400, ~2200, ~3000 µatm), finding no statistical effects of pCO2 on hatching success (~25%) or survival to 10 dph (~11%). At the extreme pCO2 level, surviving larvae were 1.2× larger and grew 55% faster compared to control pCO2 conditions.  This dataset contains black sea bass morphometrics from these experiments.\n\ncdm_data_type = Other\nVARIABLES:\nSpecies (unitless)\nDate_of_fertilization (unitless)\nDate (unitless)\nDPH (days)\nTank (unitless)\nTarget_pCO2 (microatmospheres (uatm))\npCO2 (microatmospheres (uatm))\npCO2_SD (microatmospheres (uatm))\nActual_pH (pH units)\npH_SD (pH units)\nTarget_Temperature (degrees Celsius (degC))\nActual_Temperature (degrees Celsius (degC))\nTemperature_SD (degrees Celsius (degC))\nSalinity (Practical Salinity Units (PSU))\nSalinity_SD (Practical Salinity Units (PSU))\nReplicate_ID (unitless)\nFish_ID (unitless)\nTL (millimeters (mm))\nBD (millimeters (mm))\nSL (millimeters (mm))\nED (millimeters (mm))\nML (millimeters (mm))\nCI (unitless)\n BCO-DMO bcodmo_dataset_927800_v1
log in [Black sea bass pCO2 experiments: Survival and Growth] - Hatching success, survival and growth in northern stock black sea bass reared at contrasting pCO2 conditions in laboratory experiments conduced with embryos from adults collected in Long Island Sound in 2022 (Collaborative research: Understanding the effects of acidification and hypoxia within and across generations in a coastal marine fish) We experimentally examined early life CO2-sensitivities of northern stock black sea bass (Centropristis striata), an ecologically and economically important fish that seasonally migrates from offshore overwintering grounds to coastal feeding and nursery areas. We produced embryos from wild spawners and reared them until 10 days post hatch (dph) at three contrasting pCO2 levels (~400, ~2200, ~3000 µatm), finding no statistical effects of pCO2 on hatching success (~25%) or survival to 10 dph (~11%). At the extreme pCO2 level, surviving larvae were 1.2× larger and grew 55% faster compared to control pCO2 conditions.  This dataset contains hatching success, survival, and growth data from these experiments.\n\ncdm_data_type = Other\nVARIABLES:\nSpecies (unitless)\nDate_of_fertilization (unitless)\nHatch_date (unitless)\nDate_10_dph (unitless)\nTank (unitless)\nTarget_pCO2 (microatmospheres (uatm))\npCO2 (microatmospheres (uatm))\npCO2_SD (microatmospheres (uatm))\nActual_pH (pH units)\npH_SD (pH units)\nTarget_Temperature (degrees Celsius (degC))\nActual_Temperature (degrees Celsius (degC))\nTemperature_SD (degrees Celsius (degC))\nSalinity (Practical Salinity Units (PSU))\nSalinity_SD (Practical Salinity Units (PSU))\nReplicate_ID_A (unitless)\nnum_unhatched_embryos_in_A (count (embryos))\nnum_larvae_in_A_at_0_dph (count (larvae))\nHatch_percent (percent (%))\nReplicate_ID_B (unitless)\n... (5 more variables)\n BCO-DMO bcodmo_dataset_927786_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_896886_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_896886_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_896886_v1/ public [Bleached octocoral genotypes] - Genotypes of symbionts in Muricea atlantica, M. elongata, and Plexaurella dichotoma across the 2015 Bleaching event (May 2015-August 2017) in the Florida Keys (RAPID: Variations in symbiont diversity in octocoral across seasons and a predicted bleaching event) Alleles at four microsatellite loci, genotype based on these, fragment size of hypervariable region of the chloroplast 23S rDNA and genus of symbionts in Eunicea flexuosa, Muricea atlantica, M. elongata, and Plexaurella dichotoma across the 2015 Bleaching event (May 2015-August 2017).\n\ncdm_data_type = Other\nVARIABLES:\nSpecies (unitless)\nSample_ID (unitless)\nMonth (unitless)\nYear (unitless)\nSITE (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\nComment (unitless)\nB7SYM15 (unitless)\nB7SYM34 (unitless)\nB7SYM8 (unitless)\nSYM155 (unitless)\nAssigned_Genotype (unitless)\nCP_type (unitless)\nGenus (unitless)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_896886_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_896886_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_896886_v1/index.htmlTable https://www.bco-dmo.org/dataset/896886 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_896886_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_896886_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_896886_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_718585_v3 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_718585_v3.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_718585_v3/ public [Bleached Octocoral Symbiont Cell Counts] - Cell counts of symbionts in Muricea atlantica, M. elongata, and Plexaurella dichotoma across the 2015 Bleaching event (May 2015 to August 2017) at Long Key in the Florida Keys (RAPID: Variations in symbiont diversity in octocoral across seasons and a predicted bleaching event) Cell counts of symbionts in Muricea atlantica, M. elongata, and Plexaurella dichotoma across the 2015 Bleaching event (May 2015 to August 2017) at Long Key in the Florida Keys.\n\ncdm_data_type = Other\nVARIABLES:\nspecies (unitless)\nyear_collection (unitless)\nmonth_collection (unitless)\nColony (unitless)\nSite (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\nheight (millimeters (mm))\ndiameter (millimeters (mm))\nvol (cubic millimeters (mm^3))\ncount_1 (unitless)\ncount_2 (unitless)\ncount_3 (unitless)\ncount_4 (cells per 0.1 microliter (Cells/0.1 uL))\ncount_avg (cells per 0.1 microliter (Cells/0.1 uL))\ncount_stdev (cells per 0.1 microliter (Cells/0.1 uL))\ntotal_cells_in_sample (cells per 0.1 milliliter (Cells/0.1 mL))\ncells_vol_tissue (cells per cubic centimeter of tissue (Cells/cm3 tissue))\ncomment (unitless)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_718585_v3_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_718585_v3_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_718585_v3/index.htmlTable https://www.bco-dmo.org/dataset/718585 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_718585_v3.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_718585_v3&showErrors=false&email= BCO-DMO bcodmo_dataset_718585_v3
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_896894_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_896894_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_896894_v1/ public [Bleaching card scores] - Bleaching card scores for colonies of Muricea atlantica, M. elongata, and Plexaurella dichotoma across the 2015 Bleaching event (May 2015-August 2017) in the Florida Keys. (RAPID: Variations in symbiont diversity in octocoral across seasons and a predicted bleaching event) Visual assessment of bleaching in Muricea atlantica, M. elongata, and Plexaurella dichotoma across the 2015 Bleaching event (May 2015-August 2017) using the CoralWatch coral health chart (Siebeck et al. 2006).\n\ncdm_data_type = Other\nVARIABLES:\nSpecies (unitless)\nSample_ID (unitless)\nMonth (unitless)\nYear (unitless)\nSITE (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\nComment (unitless)\nBC_Score (unitless)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_896894_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_896894_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_896894_v1/index.htmlTable https://www.bco-dmo.org/dataset/896894 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_896894_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_896894_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_896894_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_916288_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_916288_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_916288_v1/ public [BLOOFINZ-IO Flow Cytometry Abundance] - Abundances of phytoplankton and non-pigmented bacteria determined by flow cytometry from water samples collected on R/V Roger Revelle cruise RR2201 in the Eastern Indian Ocean during February and March 2022 (Collaborative Research: Mesoscale variability in nitrogen sources and food-web dynamics supporting larval southern bluefin tuna in the eastern Indian Ocean) This dataset is from CTD-based water collections of samples for phytoplankton and non-pigmented bacteria in the Indian Ocean on an R/V Roger Revelle cruise in Feb-March 2022 led by Dr. Michael Landry to investigate the plankton dynamics and impacts on growth and survival of larval Southern Bluefin Tuna (SBT). These flow cytometry results include abundances of phytoplankton taxa (Prochlorococcus, Synechococcus, photosynthetic eukaryotes), non-pigmented bacteria (HBACT), heterotrophic eukaryotes (HEUK), and potential mixotrophic eukaryotes (MEUK). Photosynthetic eukaryote (PEUK) abundance includes the MEUK cells reported (e.g., MEUK are a subset of the PEUK cells with chlorophyll and acidic-vacuoles). Note that MEUK cells likely also include some HEUK with intact chlorophyll-bearing prey, but there is no way to definitively separate these cells from each other.\n\ncdm_data_type = Other\nVARIABLES:\nCruise (unitless)\nStation (unitless)\ntime (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\nDate (unitless)\nLatitude (degrees_north)\nlongitude (degrees_east)\nCTD_Number (unitless)\ndepth (m)\nPRO (cells per milliliter)\nSYN (cells per milliliter)\nPEUK (cells per milliliter)\nHBACT (cells per milliliter)\nHEUK (cells per milliliter)\nMEUK (cells per milliliter)\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_916288_v1/index.htmlTable https://www.bco-dmo.org/dataset/916288 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_916288_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_916288_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_916288_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_958726_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_958726_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_958726_v1/ public [BLOOFINZ-IO Larval tuna counts and abundances] - Larval fish counts and larval tuna counts with corresponding plankton net type and geographic coordinates from R/V Roger Revelle cruise RR2201 (BLOOFINZ-IO, January-March 2022) in the Argo Basin region off NW Australia (Collaborative Research: Mesoscale variability in nitrogen sources and food-web dynamics supporting larval southern bluefin tuna in the eastern Indian Ocean) This dataset contains larval fish counts and larval tuna counts with corresponding plankton net type and geographic coordinates from cruise RR2201 of R/V Roger Revelle (BLOOFINZ-IO, January-March 2022) in the Argo Basin region off northwestern Australia.\n\ncdm_data_type = Other\nVARIABLES:\nEvent_No (unitless)\ntime (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\nDate (unitless)\ntime_unitless (Time, unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\nTow (unitless)\nNet_Type (unitless)\nMesh (microns)\nSide (unitless)\ndepth (Tow_depth, m)\nTow_Vol (cubic meters (m3))\nSample_ID (unitless)\nCycle (unitless)\nSample_Status (unitless)\nSBT_Count (individuals)\nALB_Count (individuals)\nYFT_Count (individuals)\nBET_Count (individuals)\nThun_Count (individuals)\nSKJ_Count (individuals)\nTuna_Count (individuals)\nFish_Count (individuals)\nSBT_1000m3 (individuals per 1000 cubic meters)\nALB_1000m3 (individuals per 1000 cubic meters)\n... (6 more variables)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_958726_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_958726_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_958726_v1/index.htmlTable https://osprey.bco-dmo.org/dataset/958726 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_958726_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_958726_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_958726_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_956590_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_956590_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_956590_v1/ public [BLOOFINZ-IO Mesozooplankton biomass and isotopes] - Size fractionated mesozooplankton biomass, elemental and stable isotope measurements derived from plankton net tows conducted on R/V Roger Revelle cruise RR2201 (BLOOFINZ-IO) in the Argo Basin region off NW Australia during January-March 2022 (Collaborative Research: Mesoscale variability in nitrogen sources and food-web dynamics supporting larval southern bluefin tuna in the eastern Indian Ocean) This dataset contains size fractionated mesozooplankton biomass, elemental and stable isotope measurements derived from plankton net tows conducted from the cruise RR2201 of R/V Roger Revelle (BLOOFINZ-IO, January-March 2022) in the Argo Basin region off NW Australia.\n\ncdm_data_type = Other\nVARIABLES:\nCruise (unitless)\nTow_ID (unitless)\nHaul (unitless)\nStation (unitless)\nCycle (unitless)\ntime (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\nISO_DateTime_Local (unitless)\nTime_of_day (unitless)\nlatitude (degrees_north)\nlongitude (Long, degrees_east)\nNet_type (unitless)\nMesh_size (micrometers (um))\ndepth (m)\nTow_Duration (unitless)\nVol (cubic meters)\nDW_0d05_0d1_mm (milligrams dry weight per square meter (mg DW m-2))\nDW_0d1_0d2_mm (milligrams dry weight per square meter (mg DW m-2))\nDW_0d2_0d5_mm (milligrams dry weight per square meter (mg DW m-2))\nDW_0d5_1_mm (milligrams dry weight per square meter (mg DW m-2))\nDW_1_2_mm (milligrams dry weight per square meter (mg DW m-2))\nDW_2_5_mm (milligrams dry weight per square meter (mg DW m-2))\nDW_gt_5_mm (milligrams dry weight per square meter (mg DW m-2))\nDW_gt_0d2_mm_TOTAL (milligrams dry weight per square meter (mg DW m-2))\nDW_TOTAL (milligrams dry weight per square meter (mg DW m-2))\nC_0d05_0d1_mm (milligrams carbon per square meter (mg C m-2))\n... (55 more variables)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_956590_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_956590_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_956590_v1/index.htmlTable https://osprey.bco-dmo.org/dataset/956590 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_956590_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_956590_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_956590_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_945860_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_945860_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_945860_v1/ public [BLOOFINZ-IO net primary productivity (14C)] - Net primary productivity (14C) measurements made during quasi‐Lagrangian experiments on R/V Roger Revelle cruise RR2201 in the Argo basin in the Eastern Indian Ocean/Indonesian throughflow during February and March 2022 (Collaborative Research: Mesoscale variability in nitrogen sources and food-web dynamics supporting larval southern bluefin tuna in the eastern Indian Ocean) This dataset includes production measurements made during quasi‐Lagrangian experiments conducted during RR2201 aboard R/V Roger Revelle in February and March 2022. Water column samples were collected by Niskin bottle on a CTD rosette during 4 pseudo-Lagrangian cycles. Each cycle was  initiated during the evening hours by deploying a sediment trap array followed by an array used for in-situ incubations such as 14C primary productivity.\n\ncdm_data_type = Other\nVARIABLES:\nDate (unitless)\ntime (Ctd_iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\nEvent (unitless)\nCTD_cast (unitless)\nlongitude (degrees_east)\nlatitude (degrees_north)\nCycle_Day (unitless)\nCycle (unitless)\nArray_net (unitless)\nCycle_Bottle (unitless)\nVolume_ml (milliliters (ml))\nNiskin_bottle (unitless)\ndepth (m)\nCPMA_SAMPLE (counts per minute)\nDPM_SAMPLE (disintegrations per minute (dpm))\nCPMA_TOTAL (counts per minute)\nDPM_TOTAL (disintegrations per minute (dpm))\nsample_blank (disintegrations per minute (dpm))\nDIC (milligrams carbon per cubic meter (mg C m-3))\nC_fix (milligrams carbon per cubin meter per day (mgC/m3/d))\nC_fix_AV (milligrams carbon per cubic meter per day (mgC/m3/d))\nC_fix_SD (milligrams carbon per cubic meter per day (mgC/m3/d))\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_945860_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_945860_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_945860_v1/index.htmlTable https://www.bco-dmo.org/dataset/945860 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_945860_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_945860_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_945860_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_952591_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_952591_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_952591_v1/ public [BLOOFINZ-IO nutrients and isotopes] - Water column inorganic nutrient concentration and nitrate+nitrite d15N and d18O measurements from R/V Roger Revelle cruise RR2201 in the Argo Basin in the Indian Ocean from February to March of 2022 (Collaborative Research: Mesoscale variability in nitrogen sources and food-web dynamics supporting larval southern bluefin tuna in the eastern Indian Ocean) This dataset includes water column inorganic nutrient concentration and nitrate+nitrite d15N and d18O measurements from a February 2022 cruise in the Argo Basin (NW of Australia (Lat: -15, Lon 114).\n\nWater column samples were collected by Niskin bottle on a CTD rosette in the Argo basin in the Eastern Indian Ocean/Indonesian throughflow (NW of Australia) on board the R/V Roger Revelle during cruise RR2201 (BLOOFINZ-IO). Samples were collected between February 4th 2022 and March 2nd 2022.\n\ncdm_data_type = Other\nVARIABLES:\nProject (unitless)\nNutrient_bottle (unitless)\nCTD_cast (unitless)\nCTD_bottle (unitless)\ndepth (m)\nCTD_comment (unitless)\ndate (unitless)\ncycle_day (unitless)\ncycle_label (unitless)\nCycle_number (unitless)\nDay_cycle (unitless)\nEvent (unitless)\nGPS_Time (unitless)\ntime (Gps_datetime_utc, seconds since 1970-01-01T00:00:00Z)\nInstrument (unitless)\nAction (unitless)\nStation (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\nSeafloor (meters (m))\nAuthor (unitless)\n... (11 more variables)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_952591_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_952591_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_952591_v1/index.htmlTable https://www.bco-dmo.org/dataset/952591 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_952591_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_952591_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_952591_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_785930_v2 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_785930_v2.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_785930_v2/ public [Blue Crab Samples] - Dates and locations of Callinectes blue crab samples from the coastal Atlantic waters of north and south America, Gulf of Mexico and Caribbean from Massachusetts to Uruguay from 2017 to 2021 (Collaborative research: Variation in life history and connectivity as drivers of pathogen-host dynamics and genetic structure in a trans-hemispheric pathosystem) Dates and locations of Callinectes blue crab samples from the coastal Atlantic waters of North and South America, the Gulf of Mexico, and the Caribbean from Massachusetts to Uruguay from 2017 through 2021. Crab populations were sampled using methods available to collaborating scientists, managers, and fishermen, as listed in the dataset.\n\ncdm_data_type = Other\nVARIABLES:\nsample_ID (unitless)\nProject_Identifier (unitless)\nGeo_location_name (unitless)\nlat_lon (unitless)\nmonth_and_year (unitless)\nCollaborator (unitless)\nPermitting_info (unitless)\nCollection_method (unitless)\nSample_size (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_785930_v2_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_785930_v2_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_785930_v2/index.htmlTable https://osprey.bco-dmo.org/dataset/785930 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_785930_v2.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_785930_v2&showErrors=false&email= BCO-DMO bcodmo_dataset_785930_v2
log in [BML Urchin Histological Scores] - Histological gonad reproductive scores for purple sea urchins from experiments at the Bodega Marine Laboratory from Sep to Dec 2023 (Collaborative Research: The effects of marine heatwaves on reproduction, larval transport and recruitment in sea urchin metapopulations) These data include histological scores of individual purple sea urchins, Strongylocentrotus purpuratus (urn:lsid:marinespecies.org:taxname:240747), involved in a multifactorial laboratory experiment at the Bodega Marine Laboratory between 2023-09 and 2023-12. The experiment investigated how population source (Sonoma, Santa Barbara, San Diego Counties) and temperature (10 degrees, 20 degrees, and dynamic historical temperature trends (21-18 °C mimicking a historical El Nino) affected reproductive stage of the organisms.\n\ncdm_data_type = Other\nVARIABLES:\ntreatment (unitless)\nlocation (unitless)\nsex (unitless)\nHISTO_CASETTE_NO (unitless)\ncat (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\n BCO-DMO bcodmo_dataset_968787_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_1000973_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_1000973_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_1000973_v1/ public [Boric acid dissociation constants in freshwater and marine conditions] - Boric acid dissociation constants (pKB) from spectrophotometrically calibrated electrode measurements made in natural seawater across estuarine to open-ocean conditions (Spectrophotometric Determinations of Carbonic Acid Dissociation Constants for Estuarine Conditions) The dissociation constant of boric acid (KB) plays a critical role in marine carbonate system calculations, yet available parameterizations remain limited in salinity coverage and have not been revisited using modern methodology. This dataset combines Dickson (1990)'s data (i.e., D90) in synthetic seawater with our own work (i.e., MMB26) to produce an improved parameterization of pKB for carbonate system calculations across a full range of estuarine and open-ocean environments. MMB26 is a novel dataset of pKB obtained in natural seawater, derived from spectrophotometrically calibrated electrode measurements spanning salinities from 0 to 45.9 and temperatures between 275.15 and 308.15 K. This experimental data is particularly important given that nearly half the total variation in pKB across the full salinity range occurs within the narrow freshwater-to-brackish transition. The spectrophotometrically calibrated electrode data (MMB26) are in excellent agreement with previous work obtained in synthetic seawater at salinities greater than 5 (D90).\n\ncdm_data_type = Other\nVARIABLES:\nsource (unitless)\nTarget_t_C (degrees Celsius (°C))\nTarget_T_K (Kelvin (K))\nTarget_Sal (PSS-78)\nTemp_C (degrees Celsius (°C))\nTemp_K (Kelvin (K))\nSal (PSS-78)\nexp_pKB_combined (unitless)\nborax_added_mg (milligrams (mg))\nsw_origin (unitless)\nsw_collection_year (unitless)\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_1000973_v1/index.htmlTable https://osprey.bco-dmo.org/dataset/1000973 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_1000973_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_1000973_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_1000973_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_933743_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_933743_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_933743_v1/ public [Bottle-calibrated Dissolved Oxygen Profiles] - Bottle-calibrated dissolved oxygen (DO) profiles from US Overturning in the Subpolar North Atlantic Program (OSNAP) cruises in 2020 and 2022 (AR45 and AR69-03) (Collaborative Research: Gases in the Overturning and Horizontal circulation of the Subpolar North Atlantic Program (GOHSNAP)) This dataset contains bottle-calibrated dissolved oxygen (DO) profiles collected from Conductivity Temperature Depth (CTD) casts during cruises in 2020 (AR45) and 2022 (AR69-03) to recover and redeploy Overturning in the Subpolar North Atlantic Program (OSNAP) moorings in the Labrador Sea and western Irminger Sea. DO profiles were used in conjunction with oxygen bottle measurements (Winklers) to produce a post-cruise oxygen-calibrated CTD product for scientific use as part of Gases in the Overturning and Horizontal circulation of the Subpolar North Atlantic Program (GOHSNAP), which has added moored oxygen sensors to the OSNAP mooring array, beginning in 2020. This documentation contains overviews of CTD data collection and processing and of the oxygen sensor calibration method. For each cruise, we provide a summary of relevant cruise events, oxygen sensor calibration results, and issues/problems associated with oxygen data collected.\n\ncdm_data_type = Other\nVARIABLES:\nCruise (unitless)\nStation (unitless)\nDown_Up (unitless)\nDate_UTC (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\nCTDPRES (dbar)\nCTDTEMP_ITS90 (degrees Celsius)\nCTDTEMP_flag (unitless)\nCTDSAL_PSS78 (unitless)\nCTDSAL_flag (unitless)\nCTDOXYCUR (volts)\nCTDOXYCUR_flag (unitless)\nCTDOXY (umol/kg)\nCTDOXY_flag (unitless)\nfile_name (unitless)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_933743_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_933743_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_933743_v1/index.htmlTable https://www.bco-dmo.org/dataset/933743 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_933743_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_933743_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_933743_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_904721_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_904721_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_904721_v1/ public [Bottle-calibrated dissolved oxygen profiles] - Bottle-calibrated dissolved oxygen profiles from yearly turn-around cruises for the Ocean Observations Initiative (OOI) Irminger Sea Array 2014 – 2022 (Collaborative Research: The Annual Cycle of the Biological Carbon Pump in the Subpolar North Atlantic) This dataset contains bottle-calibrated dissolved oxygen (DO) profiles collected from Conductivity Temperature Depth (CTD) casts on turn-around cruises performed yearly to maintain the Ocean Observations Initiative (OOI) Global Irminger Sea Array (60.46°N, 38.44°W). DO profiles were used in conjunction with oxygen bottle measurements (Winklers) to produce a post-cruise oxygen-calibrated CTD product for scientific use. Bottle-calibrated CTD salinity products were used to produce post-cruise oxygen-calibrated CTD profiles starting in 2018 (Year 5). This document contains overviews of CTD data collection and processing and post-processing oxygen sensor calibration method. Reports for each cruise include a summary of relevant cruise events, oxygen sensor calibration results, and issues/problems associated with oxygen data collected on each cruise. This dataset has been created for end-users that require field-calibrated oxygen data products that are currently not provided by OOI through its standard data dissemination.\n\ncdm_data_type = Other\nVARIABLES:\nCruise (unitless)\nCast (unitless)\nDirection (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\ntime (Date_utc, seconds since 1970-01-01T00:00:00Z)\nCTDPRES (dbar)\nCTDTEMP_ITS90 (degrees C)\nCTDTEMP_flag (unitless)\nCTDSAL_PSS78 (unitless)\nCTDSAL_flag (unitless)\nCTDOXYCUR (volts)\nCTDOXYCUR_flag (unitless)\nCTDOXY (umol/kg)\nCTDOXY_flag (unitless)\nAAOXYCUR (volts)\nAAOXYCUR_flag (unitless)\nAAOXY (umol/kg)\nAAOXY_flag (unitless)\nfile_name (unitless)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_904721_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_904721_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_904721_v1/index.htmlTable https://www.bco-dmo.org/dataset/904721 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_904721_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_904721_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_904721_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_922248_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_922248_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_922248_v1/ public [Braun-Blanquet Seagrass Surveys for PN clusters] - Species density from Braun-Blanquet seagrass surveys on clusters of artificial reefs at the Abaco Islands, Bahamas in May of 2022 (Using novel ecosystem-scale experiments to quantify drivers of reef productivity in a heavily impacted coastal ecosystem) Species density from Braun-Blanquet seagrass surveys for artificial reef clusters at the Abaco Islands, Bahamas in May of 2022.The site (PN) was constructed in May 2021 in the waters north of Little Abaco Island. Three clusters of nine reefs were constructed at the site. Each cluster was separated by at least 150 m and were constructed at ~3 m depth.\n\ncdm_data_type = Other\nVARIABLES:\ndate (unitless)\nobs (unitless)\ncluster (unitless)\ncluster_lat (degrees_north)\nlongitude (Cluster_lon, degrees_east)\nreef (unitless)\ntransect (unitless)\ndistance (meters (m))\nThalassia (unitless)\nSyringodium (unitless)\nPenicillus (unitless)\nHalimeda (unitless)\nLaurencia (unitless)\nRhiphocephalus (unitless)\nUdotea (unitless)\nSponge (unitless)\nAvrainvillia (unitless)\nBataphora (unitless)\nAcetabularia (unitless)\nDictyosphaeria (unitless)\nValonia (unitless)\nJania (unitless)\nunknown_species_1 (unitless)\nunknown_species_2 (unitless)\n... (10 more variables)\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_922248_v1/index.htmlTable https://www.bco-dmo.org/dataset/922248 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_922248_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_922248_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_922248_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_920168_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_920168_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_920168_v1/ public [Bulk cyclic AMP (cAMP) assays] - Results from bulk cyclic AMP (cAMP) assays conducted to investigate the role of soluble adenylyl cyclase (sAC) in sperm from the gonochoric, broadcast spawning coral Astrangia poculata (Influence of environmental pH variability and thermal sensitivity on the resilience of reef-building corals to acidification stress) Most stony corals liberate their gametes into the water column via broadcast spawning, where fertilization hinges upon the activation of directional sperm motility. Sperm from gonochoric and hermaphroditic corals display distinct morphological and molecular phenotypes, yet it is unknown whether the signallng pathways controlling sperm motility are also distinct between these sexual systems. We addressed this knowledge gap using the gonochoric, broadcast spawning coral Astrangia poculata. This dataset is from bulk cyclic AMP (cAMP) assays conducted to investigate the role of soluble adenylyl cyclase (sAC) in sperm. Data are associated with Glass et al. (2023) Proceedings of the Royal Society B (10.1098/rspb.2023.0085). These data are also published in Dryad under DOI 10.5061/dryad.rn8pk0pg8.\n\ncdm_data_type = Other\nVARIABLES:\nColony (unitless)\ntime_elapsed (Time, seconds)\nTreatment (unitless)\nStim (unitless)\ncAMP_pmol_mL (picomoles per milliliter (pmol/mL))\nProtein_ug_mL (micrograms per milliliter (ug/mL))\ncAMP_nmol_mg (nanomoles per milligram (nmol/mg))\ncAMP_nmol_ng (nanomoles per nanomgram (nmol/ng))\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_920168_v1/index.htmlTable https://www.bco-dmo.org/dataset/920168 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_920168_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_920168_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_920168_v1
log in [Bulk sediment MAZ-1E-04] - Bulk sediment measurements in the eastern Pacific during the last deglaciation determined from core MAZ-1E-04 collected on cruise MAZ-I aboard the R/V El Puma in April 2015 (Glacial-Interglacial Changes in Oxygen Minimum Zones Using Deep-Dwelling, Low-Oxygen Planktic Foraminifera) The structure and drivers of oxygen minimum zone (OMZ) evolution in the Eastern Tropical North Pacific (ETNP) are investigated from ~20.7-10 ka using a multi-proxy approach from core MAZ-1E-04 (22°54.29'N, 106°54.59'W; 1463 m depth). Understanding how OMZ vertical structure changed during past glacial/interglacial cycles will help elucidate the drivers and patterns of OMZ expansion/contraction on longer timescales. \n\nHere, measurements from core MAZ-1E-04 bulk sediment, collected on cruise MAZ-I aboard the R/V El Puma in April 2015, are used to examine levels of denitrification and preservation changes through the last deglaciation. This dataset presents bulk sediment δ¹⁵N, organic carbon δ¹³C, %N, and C:N ratios. Universidad Nacional Autónoma de México financed ship time and M. Alejandro Rodríguez Ramírez directed the oceanographic campaign to retrieve the core.\n\ncdm_data_type = Other\nVARIABLES:\nDepth_core (centimeter (cm))\nAge (years before present (ybp))\nd15N (per mil)\nd13C (per mil)\npct_N (%N)\nC_N_ratio (unitless)\n BCO-DMO bcodmo_dataset_991502_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_971975_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_971975_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_971975_v1/ public [Bulk SIA of gelatinous zooplankton] - Bulk tissue stable isotope analysis of zooplankton samples collected by MOCNESS from R/V Sally Ride and R/V Roger Revelle cruises in the southern California Current Ecosystem from 2020-2023 (Resolving vertical trophic linkages between surface and deep pelagic food webs) We estimated the trophic positions of abundant gelatinous zooplankton (chaetognaths, cnidarians, ctenophores, molluscs, and pelagic tunicates) in the southern California Current Ecosystem using stable carbon and nitrogen isotope analysis. Gelatinous zooplankton were collected on four research cruises on the R/V Sally Ride and R/V Roger Revelle between 2020 and 2023 and from 0 to 3,000 meters depth using a 10-square-meter Multiple Opening/Closing Net and Environmental Sensing System (MOCNESS). 561 samples of gelatinous zooplankton from thirteen taxonomic groups were chosen for bulk tissue stable isotope analysis. An additional twenty samples from seven gelatinous genera were chosen for nitrogen compound-specific isotope analysis of amino acids because they were abundant across our region and represented a range of hypothesized feeding guilds and depth habitats (0 – 1,025 meters). Gelatinous zooplankton were briefly thawed to remove visible gut contents using forceps and a scalpel. Samples were then lyophilized and homogenized. To ensure sufficient sample mass for stable isotope analysis, samples often contained multiple individuals from the same net, taxonomic group, and size class. The number of individuals per sample was typically fewer than 100, with a larger number of individuals pooled for some samples of Pantachogon spp. and Hormiphora spp. Samples were processed for bulk tissue stable isotope analysis at the University of Hawaii at Manoa and the University of California Merced. This dataset includes the bulk tissue stable isotope measurements of carbon and nitrogen as well as specimen metadata (e.g., animal body size, collection location/time).\n\ncdm_data_type = Other\nVARIABLES:\nspecimen_number (unitless)\nphylum (unitless)\ngenus (unitless)\nbest_taxonomic_ID (unitless)\ntow (unitless)\nnet (unitless)\nDate_UTC (unitless)\nyear (unitless)\nmonth (unitless)\nday (unitless)\n... (19 more variables)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_971975_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_971975_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_971975_v1/index.htmlTable https://osprey.bco-dmo.org/dataset/971975 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_971975_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_971975_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_971975_v1
log in [BVAL bottle data (BATS Validation cruises)] - Discrete bottle samples collected during BATS Validation (BVAL) cruises from April 1991 through July 2024 (Bermuda Atlantic Time-series Study) Data presented here are discrete bottle samples for BATS validation (BVAL) cruise 50001 (April 1991) through BVAL cruise 50061 (June/July 2024). The sample parameter list has been mostly consistent for the full time-series record and includes: salinity, dissolved oxygen, dissolved inorganic carbon, alkalinity, nutrients (nitrate + nitrite, nitrite, phosphate, silicate), particulate organics (carbon, nitrogen, phosphorous), particulate silicate, total organic carbon and nitrogen, total dissolved phosphorus, bacterial enumeration, and flow cytometry counts of picoplankton.\n\ncdm_data_type = Other\nVARIABLES:\nID (unitless)\ntime (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\nVessel (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\nCruise_type (unitless)\nCruise_num (unitless)\nCast_type (unitless)\nCast_num (unitless)\nBottle_num (unitless)\nQF_Niskin_GoFlo (unitless)\ndepth (m)\nQF1_Depth (unitless)\nTemp (degrees Celsius)\nQF2_Temp (unitless)\nCTD_Sal (PSS-78)\nQF3_CTD_Sal (unitless)\nSal1 (PSS-78)\nQF4_Sal1 (unitless)\nSigma_theta (kilogram per cubic meter (kg/m^3))\nQF5_Sigma_theta (unitless)\n... (45 more variables)\n BCO-DMO bcodmo_dataset_917255_v6
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_917255_v7 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_917255_v7.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_917255_v7/ public [BVAL bottle data (BATS Validation cruises)] - Discrete bottle samples collected during BATS Validation (BVAL) cruises from April 1991 through July 2024 (Bermuda Atlantic Time-series Study) Data presented here are discrete bottle samples for BATS validation (BVAL) cruise 50001 (April 1991) through BVAL cruise 50061 (June/July 2024). The sample parameter list has been mostly consistent for the full time-series record and includes: salinity, dissolved oxygen, dissolved inorganic carbon, alkalinity, nutrients (nitrate + nitrite, nitrite, phosphate, silicate), particulate organics (carbon, nitrogen, phosphorous), particulate silicate, total organic carbon and nitrogen, total dissolved phosphorus, bacterial enumeration, and flow cytometry counts of picoplankton.\n\ncdm_data_type = Other\nVARIABLES:\nID (unitless)\ntime (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\nVessel (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\nCruise_type (unitless)\nCruise_num (unitless)\nCast_num (unitless)\nBottle_num (unitless)\nQF_Bottle (unitless)\ndepth (m)\nQF_Depth (unitless)\nTemp (degrees Celsius)\nQF_Temp (unitless)\nCTD_Sal (PSS-78)\nQF_CTD_Sal (unitless)\nSal1 (PSS-78)\nQF_Sal1 (unitless)\nSigma_theta (kilogram per cubic meter (kg/m^3))\nQF_Sigma_theta (unitless)\nO2 (micromole per kilogram (umol/kg))\n... (44 more variables)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_917255_v7_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_917255_v7_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_917255_v7/index.htmlTable https://osprey.bco-dmo.org/dataset/917255 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_917255_v7.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_917255_v7&showErrors=false&email= BCO-DMO bcodmo_dataset_917255_v7
log in [BVAL bottle data (BATS Validation cruises)] - Discrete bottle samples collected during BATS Validation (BVAL) cruises from April 1991 through July 2025 (Bermuda Atlantic Time-series Study) Data presented here are discrete bottle samples for BATS validation (BVAL) cruise 50001 (April 1991) through BVAL cruise 50063 (July 2025). The sample parameter list has been mostly consistent for the full time-series record and includes: salinity, dissolved oxygen, dissolved inorganic carbon, alkalinity, nutrients (nitrate + nitrite, nitrite, phosphate, silicate), particulate organics (carbon, nitrogen, phosphorous), particulate silicate, total organic carbon and nitrogen, total dissolved phosphorus, bacterial enumeration, and flow cytometry counts of picoplankton.\n\ncdm_data_type = Other\nVARIABLES:\nBottle_ID (unitless)\ntime (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\nVessel (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\nCruise_type (unitless)\nCruise_num (unitless)\nCast_num (unitless)\nBottle_num (unitless)\nQF_Bottle (unitless)\ndepth (m)\nQF_Depth (unitless)\nTemp (degrees Celsius)\nQF_Temp (unitless)\nCTD_Sal (PSS-78)\nQF_CTD_Sal (unitless)\nSal1 (PSS-78)\nQF_Sal1 (unitless)\nSigma_theta (kilogram per cubic meter (kg/m^3))\nQF_Sigma_theta (unitless)\nO2 (micromole per kilogram (umol/kg))\nQF_O2 (unitless)\n... (43 more variables)\n BCO-DMO bcodmo_dataset_917255_v8
log in [BVAL bottle data (BATS Validation cruises)] - Discrete bottle samples collected during BATS Validation (BVAL) cruises from April 1991 through July 2025 (Bermuda Atlantic Time-series Study) Data presented here are discrete bottle samples for BATS validation (BVAL) cruise 50001 (April 1991) through BVAL cruise 50063 (July 2025). The sample parameter list has been mostly consistent for the full time-series record and includes: salinity, dissolved oxygen, dissolved inorganic carbon, alkalinity, nutrients (nitrate + nitrite, nitrite, phosphate, silicate), particulate organics (carbon, nitrogen, phosphorous), particulate silicate, total organic carbon and nitrogen, total dissolved phosphorus, bacterial enumeration, and flow cytometry counts of picoplankton.\n\ncdm_data_type = Other\nVARIABLES:\nBottle_ID (unitless)\ntime (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\nVessel (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\nCruise_type (unitless)\nCruise_num (unitless)\nCast_num (unitless)\nBottle_num (unitless)\nQF_Bottle (unitless)\ndepth (m)\nQF_Depth (unitless)\nTemp (degrees Celsius)\nQF_Temp (unitless)\nCTD_Sal (PSS-78)\nQF_CTD_Sal (unitless)\nSal1 (PSS-78)\nQF_Sal1 (unitless)\nSigma_theta (kilogram per cubic meter (kg/m^3))\nQF_Sigma_theta (unitless)\nO2 (micromole per kilogram (umol/kg))\nQF_O2 (unitless)\n... (43 more variables)\n BCO-DMO bcodmo_dataset_917255_v9
log in [BVAL bottle data (BATS Validation cruises)] - Discrete bottle samples collected during BATS Validation (BVAL) cruises from April 1991 through June 2023 (Bermuda Atlantic Time-series Study) Data presented here are discrete bottle samples for BATS validation (BVAL)  Cruise # 1 (April 1991) through BVAL cruise # 60 (June 2023). Following the first several years of the BATS project it was deemed necessary by the JGOFS steering committee and BATS PIs to conduct validation cruises in the vicinity of the nominal BATS site to better understand the mesoscale and larger scale variability of the region. In particular, a focus of the BVAL cruises was to assess the spatial scale representation of the BATS and Hydrostation ‘S' programs. Initial focus of the BVAL cruises was to investigate mesoscale variability and  meridional gradients of the local region. Later, cruises focused on specific mesoscale eddies (e.g., McGillicuddy et al., 1998; McGillicuddy et al., 1999) and effects of tropical cyclones through the local region. In the year 2000 it was deemed more important to document the larger scale changes in the North Atlantic Subtropical gyre so BVAL cruises established a transect line from ~ 35N to 19N (Bermuda to Puerto Rico) very similar to the WOCE A22 repeat hydrography line (Johnson et al., 2020). These annual Bermuda to Puerto Rico transects have been run since 2000 and target stations at every one degree of latitude and typically have been conducted in September/October of each year to capture maximal heat content in the upper ocean. However, since this timeframe coincides with high tropical cyclone activity the cruises were reluctantly (as of 2022) moved to begin in June/July of each year for safety and operational reasons. In the pentad prior to 2022 every BVAL cruise was significantly impacted by multiple tropical cyclones. Parameters presented are the same as provided in the standard BATS bottle files. To browse cruise tracks please see the supplemental information.\n\ncdm_data_type = Other\nVARIABLES:\nID (unitless)\ntime (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\nVessel (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\nCruise_type (unitless)\nCruise_num (unitless)\nCast_type (unitless)\nCast_num (unitless)\n... (61 more variables)\n BCO-DMO bcodmo_dataset_917255_v5
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_939210_v7 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_939210_v7.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_939210_v7/ public [BVAL CTD profiles (BATS Validation cruises)] - Two decibar averaged CTD profiles collected during BATS Validation (BVAL) cruises from April 1991 through July 2023 (Bermuda Atlantic Time-series Study) Data presented here are 2 dbar CTD for BATS Validation (BVAL) cruises from Jun 1991 (BVAL cruise #50016) through July 2023 (BVAL cruise #50060). Profiles of primary CTD measurements (Pressure, Depth, Temperature, and Salinity) are reported along with auxiliary data for dissolved oxygen, beam attenuation coefficient, relative fluorescence, and photosynthetic Active Radiation (PAR). Profiles were collected using a standard Sea-Bird SBE-09 plus CTD. Data are processed following the methods of Knap et al., 1997 with the final product being reported as two decibar averages and all profiles. It should be noted that the two decibar profiles are reported for the downcast only and bottle marker data collected on the upcast are presented with the bottle data.\n\ncdm_data_type = Other\nVARIABLES:\nID (unitless)\ntime (Iso_datetime_utc_deployed, seconds since 1970-01-01T00:00:00Z)\nISO_DateTime_UTC_recovered (seconds since 1970-01-01T00:00:00Z)\nVessel (unitless)\nlatitude (Latitude_deployed, degrees_north)\nlongitude (Longitude_deployed, degrees_east)\nLatitude_recovered (degrees_north)\nLongitude_recovered (degrees_east)\nCruise_type (unitless)\nCruise_num (unitless)\nCast (unitless)\ndepth (m)\nQF_Depth (unitless)\nPressure (decibars (dbar))\nQF_Pressure (unitless)\nTemperature (degrees Celsius)\nQF_Temperature (unitless)\nSalinity (PSU)\nQF_Salinity (unitless)\nOxygen (micromole per kilogram (umol/kg))\n... (13 more variables)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_939210_v7_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_939210_v7_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_939210_v7/index.htmlTable https://www.bco-dmo.org/dataset/939210 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_939210_v7.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_939210_v7&showErrors=false&email= BCO-DMO bcodmo_dataset_939210_v7
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_939210_v9 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_939210_v9.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_939210_v9/ public [BVAL CTD profiles (BATS Validation cruises)] - Two decibar averaged CTD profiles collected during BATS Validation (BVAL) cruises from April 1991 through July 2024 (Bermuda Atlantic Time-series Study) Data presented here are 2 dbar CTD for BATS Validation (BVAL) cruises from April 1991 (BVAL cruise #50001) through July 2024 (BVAL cruise #50061). Profiles of primary CTD measurements (Pressure, Depth, Temperature, and Salinity) are reported along with auxiliary data for dissolved oxygen, beam attenuation coefficient, relative fluorescence, and photosynthetic Active Radiation (PAR). Profiles were collected using a standard Sea-Bird SBE-09 plus CTD. Data are processed following the methods of Knap et al., 1997 with the final product being reported as two decibar averages and all profiles. It should be noted that the two decibar profiles are reported for the downcast only and bottle marker data collected on the upcast are presented with the bottle data.\n\ncdm_data_type = Other\nVARIABLES:\nID (unitless)\ntime (Iso_datetime_utc_deployed, seconds since 1970-01-01T00:00:00Z)\nISO_DateTime_UTC_recovered (seconds since 1970-01-01T00:00:00Z)\nVessel (unitless)\nlatitude (Latitude_deployed, degrees_north)\nlongitude (Longitude_deployed, degrees_east)\nLatitude_recovered (degrees_north)\nLongitude_recovered (degrees_east)\nCruise_type (unitless)\nCruise_num (unitless)\nCast (unitless)\ndepth (m)\nQF_Depth (unitless)\nPressure (decibars (dbar))\nQF_Pressure (unitless)\nTemperature (degrees Celsius)\nQF_Temperature (unitless)\nSalinity (PSU)\nQF_Salinity (unitless)\nOxygen (micromole per kilogram (umol/kg))\n... (9 more variables)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_939210_v9_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_939210_v9_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_939210_v9/index.htmlTable https://www.bco-dmo.org/dataset/939210 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_939210_v9.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_939210_v9&showErrors=false&email= BCO-DMO bcodmo_dataset_939210_v9
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_939210_v11 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_939210_v11.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_939210_v11/ public [BVAL CTD profiles (BATS Validation cruises)] - Two decibar averaged CTD profiles collected during BATS Validation (BVAL) cruises from April 1991 through July 2025 (Bermuda Atlantic Time-series Study) Data presented here are 2 dbar CTD for BATS Validation (BVAL) cruises from April 1991 (BVAL cruise #50001) through July 2025 (BVAL cruise #50063). Profiles of primary CTD measurements (Pressure, Depth, Temperature, and Salinity) are reported along with auxiliary data for dissolved oxygen, beam attenuation coefficient, relative fluorescence, and photosynthetic Active Radiation (PAR). Profiles were collected using a standard Sea-Bird SBE-09 plus CTD. Data are processed following the methods of Knap et al., 1997 with the final product being reported as two decibar averages and all profiles. It should be noted that the two decibar profiles are reported for the downcast only and bottle marker data collected on the upcast are presented with the bottle data.\n\ncdm_data_type = Other\nVARIABLES:\nID (unitless)\ntime (Iso_datetime_utc_deployed, seconds since 1970-01-01T00:00:00Z)\nISO_DateTime_UTC_recovered (seconds since 1970-01-01T00:00:00Z)\nVessel (unitless)\nlatitude (Latitude_deployed, degrees_north)\nlongitude (Longitude_deployed, degrees_east)\nLatitude_recovered (degrees_north)\nLongitude_recovered (degrees_east)\nCruise_type (unitless)\nCruise_num (unitless)\nCast (unitless)\ndepth (m)\nQF_Depth (unitless)\nPressure (decibars (dbar))\nQF_Pressure (unitless)\nTemperature (degrees Celsius)\nQF_Temperature (unitless)\nSalinity (PSU)\nQF_Salinity (unitless)\nOxygen (micromole per kilogram (umol/kg))\n... (9 more variables)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_939210_v11_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_939210_v11_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_939210_v11/index.htmlTable https://osprey.bco-dmo.org/dataset/939210 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_939210_v11.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_939210_v11&showErrors=false&email= BCO-DMO bcodmo_dataset_939210_v11
log in [BVAL pigments (BATS Validation cruises)] - HPLC and fluorometric derived phytoplankton pigment concentrations from seawater collected on BATS Validation (BVAL) cruises from June 1996 to July 2025 (Bermuda Atlantic Time-series Study) Data presented here are discrete bottle HPLC derived phytoplankton pigments and fluorometric chlorophyll-a for BATS Validation (BVAL) cruises from June 1996 (BVAL cruise #50016) through June/July 2025 (BVAL cruise #50063). Water samples are typically collected from 7-12 depths in the upper 250 meters of the water column, and then filtered under low vacuum through a 25mm GF/F filter. The filter is then flash frozen in liquid nitrogen and stored at -80 degrees C. Shoreside, analysis is performed on an HPLC using a method modified by Dr. R. Bidigare from the Wright et al. (1991) procedure. This method identifies the pigments chlorophyll-c3, chlorophyll-c2, peridinin, 19'-butanoyloxyfucoxanthin, fucoxanthin, 19'-hexanoyloxyfucoxanthin, prasinoxanthin, diadinoxanthin, alloxanthin, diatoxanthin, lutein, zeaxanthin, chlorophyll-b, chlorophyll-a, divinyl chlorophyllide-a, alpha and beta carotene. Additionally, chlorophyll-a and phaeopigments are analyzed using a fluorometric assay.\n\ncdm_data_type = Other\nVARIABLES:\nID (unitless)\ntime (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\nVessel (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\nCruise_type (unitless)\nCruise_num (unitless)\nCast (unitless)\nCast_type (unitless)\nBottle_number (unitless)\nQF_Niskin_GoFlo (uniteless)\ndepth (m)\nQF_depth (unitless)\np1 (nanograms per kilogram (ng/kg))\nQF_p1 (unitless)\np2 (nanograms per kilogram (ng/kg))\nQF_p2 (unitless)\n... (41 more variables)\n BCO-DMO bcodmo_dataset_926534_v8
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_926534_v6 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_926534_v6.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_926534_v6/ public [BVAL pigments (BATS Validation cruises)] - HPLC and fluorometric derived phytoplankton pigment concentrations from seawater collected on BATS Validation cruises from June 1996 to July 2024 (Bermuda Atlantic Time-series Study) Data presented here are discrete bottle HPLC derived phytoplankton pigments and fluorometric chlorophyll-a for BATS validation (BVAL) cruises from June 1996 (BVAL cruise #50016) through June/July 2024 (BVAL cruise #50061). Water samples are typically collected from 7-12 depths in the upper 250 meters of the water column, and then filtered under low vacuum through a 25mm GF/F filter. The filter is then flash frozen in liquid nitrogen and stored at -80 degrees C. Shoreside, analysis is performed on an HPLC using a method modified by Dr. R. Bidigare from the Wright et al. (1991) procedure. This method identifies the pigments chlorophyll-c3, chlorophyll-c2, peridinin, 19'-butanoyloxyfucoxanthin, fucoxanthin, 19'-hexanoyloxyfucoxanthin, prasinoxanthin, diadinoxanthin, alloxanthin, diatoxanthin, lutein, zeaxanthin, chlorophyll-b, chlorophyll-a, divinyl chlorophyllide-a, alpha and beta carotene. Additionally, chlorophyll-a and phaeopigments are analyzed using a fluorometric assay.\n\ncdm_data_type = Other\nVARIABLES:\nID (unitless)\ntime (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\nVessel (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\nCruise_type (unitless)\nCruise_num (unitless)\nCast (unitless)\nCast_type (unitless)\nBottle_number (unitless)\nQF_Niskin_GoFlo (uniteless)\ndepth (m)\nQF_depth (unitless)\np1 (nanograms per kilogram (ng/kg))\nQF_p1 (unitless)\np2 (nanograms per kilogram (ng/kg))\nQF_p2 (unitless)\n... (41 more variables)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_926534_v6_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_926534_v6_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_926534_v6/index.htmlTable https://www.bco-dmo.org/dataset/926534 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_926534_v6.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_926534_v6&showErrors=false&email= BCO-DMO bcodmo_dataset_926534_v6
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_926534_v4 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_926534_v4.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_926534_v4/ public [BVAL pigments (BATS Validation cruises)] - HPLC and fluorometric derived phytoplankton pigment concentrations from seawater collected on BATS Validation cruises from June 1996 to June 2023 (Bermuda Atlantic Time-series Study) Data presented here are discrete bottle HPLC derived phytoplankton pigments and fluorometric chlorophyll-a for BATS validation (BVAL) cruises from June 1996 (BVAL cruise #50016) through June 2023 (BVAL cruise #50060). Water samples are typically collected from 7-12 depths in the upper 250 meters of the water column, and then filtered under low vacuum through a 25mm GF/F filter. The filter is then flash frozen in liquid nitrogen and stored at -80 degrees C. Shoreside, analysis is performed on an HPLC using a method modified by Dr. R. Bidigare from the Wright et al. (1991) procedure. This method identifies the pigments chlorophyll-c3, chlorophyll-c2, peridinin, 19'-butanoyloxyfucoxanthin, fucoxanthin, 19'-hexanoyloxyfucoxanthin, prasinoxanthin, diadinoxanthin, alloxanthin, diatoxanthin, lutein, zeaxanthin, chlorophyll-b, chlorophyll-a, divinyl chlorophyllide-a, alpha and beta carotene. Additionally, chlorophyll-a and phaeopigments are analyzed using a fluorometric assay.\n\ncdm_data_type = Other\nVARIABLES:\nID (unitless)\ntime (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\nVessel (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\nCruise_type (unitless)\nCruise_num (unitless)\nCast (unitless)\nCast_type (unitless)\nBottle_number (unitless)\nQF_Niskin_GoFlo (uniteless)\ndepth (m)\nQF_depth (unitless)\np1 (nanograms per kilogram (ng/kg))\nQF_p1 (unitless)\np2 (nanograms per kilogram (ng/kg))\nQF_p2 (unitless)\n... (41 more variables)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_926534_v4_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_926534_v4_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_926534_v4/index.htmlTable https://www.bco-dmo.org/dataset/926534 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_926534_v4.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_926534_v4&showErrors=false&email= BCO-DMO bcodmo_dataset_926534_v4
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_928636_v1 https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_928636_v1/ public [Ca. Aquarickettsia rohweri transcriptomes] - Sampling and experimental metadata related to 'Candidatus' Aquarickettsia rohweri transcriptome data from host Acropora cervicornis colonies collected at Looe Key, Lower Florida Keys from Apr to Jun of 2019 (Collaborative Research: Tracking the interacting roles of the environment, host genotype, and a novel Rickettsiales in coral disease susceptibility) This dataset contains sampling and experimental metadata related to 'Candidatus' Aquarickettsia rohweri transcriptome sequences housed at the National Center for Biotechnology Information (NCBI) Sequence Read Archive (SRA) under BioProject PRJNA1048415. All host colonies (Acropora cervicornis genotype ML-50) were collected from the same location, the Mote Marine Laboratory in situ coral nursery in Looe Key, Lower Florida Keys between April and June of 2019.\n\nThe Rickettsiales-like bacterial parasite, 'Candidatus' Aquarickettsia rohweri (NCBI:txid2602574) is a ubiquitous coral symbiont that is strongly linked to coral disease susceptibility in staghorn coral, and is undergoing positive selection across the Caribbean. Although ‘Ca.' A. rohweri is a putative parasite, little is known about the activity of this bacterium in coral tissue. We performed a transcriptomic analyses of ‘Ca.' A. rohweri populations during a 6-week nutrient exposure experiment.  ‘Ca.' A. rohweri energy scavenging genes and those potentially involved during habitat transition are significantly upregulated during enrichment. Specifically, transcripts involved in signaling, virulence, two-component systems, and nutrient import genes are elevated under higher nutrients. These data support the predicted role of ‘Ca.' A. rohweri as a highly active nutrient-responsive A. cervicornis parasite and provide a glimpse at the mechanism of induced disease susceptibility while implicating nutrient exposure in its horizontal transmission.\n\ncdm_data_type = Other\nVARIABLES:\nSample_name (unitless)\nBioSample_Accession (unitless)\nSRA (unitless)\nBioProject (unitless)\nData_Type (unitless)\nScope (unitless)\nOrganism (unitless)\nCollected_Host_Organism (unitless)\nStrain (unitless)\nisolation_source (unitless)\nCollection_Year (unitless)\nCollection_date_note (unitless)\nTreatment (unitless)\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_928636_v1/index.htmlTable https://osprey.bco-dmo.org/dataset/928636 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_928636_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_928636_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_928636_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_959247_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_959247_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_959247_v1/ public [California pore water data] - Pore water data from sediment cores collected from R/V Oceanus cruise OC1906A and R/V Sikuliaq cruise SKQ202016S off the coast of California in 2019 and 2020 (Collaborative Research: Peptide Deamination as a Source of Refractory Dissolved Organic Matter in Marine Sediments) Sediment pore waters were determined in cores collected at several stations off the coast of California: at a site in Santa Barbara Basin ('SBB'; latitude: 34.223, Longitude: -119.986; water depth, 590 m); Catalina Basin ('Cat'; latitude: 33.301, longitude: -118.6; water depth, 1310 m); and two sites off the coast of central California south of Monterey Bay; site 'K' (latitude 35.375, longitude -121.501, water depth, 1000 m) and site 'D' (latitude 36.113, longitude: -122.186, water depth, 1440 m). The Cat cores were collected in June 2019, while the site K and D cores were collected in December 2020. Pore waters were collected either using rhizon samplers or by centrifugation of sectioned sediments. Pore water samples were analyzed for alkalinity on-board the ship, while other analyses were returned to the shore-based lab at Old Dominon University (ODU) where they were analyzed. These samples were collected as part of a larger project examining deaminated peptides and organic matter cycling in the sediments at these sites.\n\ncdm_data_type = Other\nVARIABLES:\nShip (unitless)\nCruise_ID (unitless)\nSt_ID (unitless)\ndate (unitless)\nlatitude (degrees_north)\nlongitude (Long, degrees_east)\nSA_ID (unitless)\nCore (unitless)\nSamp (unitless)\nDepth (centimeters (cm))\nerr (centimeters (cm))\nAlk (millimolar (mM))\npH (unitless)\nDIC (millimolar (mM))\nSulfate (millimolar (mM))\nSulfide (micromolar (uM))\nNH4 (micromolar (uM))\nDOC (millimolar (mM))\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_959247_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_959247_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_959247_v1/index.htmlTable https://osprey.bco-dmo.org/dataset/959247 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_959247_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_959247_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_959247_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_959217_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_959217_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_959217_v1/ public [California sediment porosity data] - Sediment porosity collected from R/V Oceanus cruise OC1906A and R/V Sikuliaq cruise SKQ202016S off the coast of California in 2019 and 2020 (Collaborative Research: Peptide Deamination as a Source of Refractory Dissolved Organic Matter in Marine Sediments) Sediment porosity was determined in cores collected at several stations off the coast of California: at a site in Catalina Basin ('Cat'; latitude: 33.301, longitude: -118.6; water depth, 1310 m); sites K and D off the coast of central California south of Monterey Bay ('K'; latitude: 35.375, longitude: -121.501; water depth, 1000 m; 'D'; latitude: 36.113, longitude: -122.186; water depth, 1440 m). The Cat cores were collected in June 2019, while the site K and D cores were collected in December 2020. Sediment cores were sectioned on-board the ship, and wet sediment was placed in pre-weighed scintillation vials. The vials were frozen and returned to the shore-based lab at Old Dominon University (ODU) where the samples were dried to constant weight and wet-to-dry sediment ratios were converted to porosity values. These samples were collected as part of a larger project examining deaminated peptides and organic matter cycling in the sediments at these sites.\n\ncdm_data_type = Other\nVARIABLES:\nShip (unitless)\nCruise_ID (unitless)\nSt_ID (unitless)\nlatitude (Station_latitude, degrees_north)\nlongitude (Station_longitude, degrees_east)\nDate (unitless)\nSa_ID (unitless)\nCore (unitless)\nsamp (unitless)\nDepth (centimeters (cm))\nErr (centimeters (cm))\nPorosity (cubic centimeters of porewater per cubic centimeters of total sediment (cm3pore water/cm3­total sediment))\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_959217_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_959217_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_959217_v1/index.htmlTable https://osprey.bco-dmo.org/dataset/959217 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_959217_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_959217_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_959217_v1
log in [Carbon and nitrogen stable isotopes in gelatinous zooplankton and larval fish] - Carbon and nitrogen stable isotope measurements of gelatinous zooplankton and larval fish in the Northern California Current from March 2022 to August 2023 (Collaborative Research: Plankton size spectra and trophic links in a dynamic ocean) These data include carbon and nitrogen stable isotope measurements of gelatinous zooplankton and larval fish collected during four research cruises in the Northern California Current from March 2022 to August 2023. Also included are carbon and nitrogen contents, organism counts, sizes and volumes, wet weights, dry weights, and ash-free dry weights. The roles of gelatinous zooplankton and larval fish in marine food webs are not well understood. These data examine the trophic roles of these organisms across two seasons in a highly productive coastal system and contribute to food web modelling efforts.\n\ncdm_data_type = Other\nVARIABLES:\nanimal_type (unitless)\nphylum (unitless)\nclass (unitless)\norder (unitless)\nfamily (unitless)\ngenus (unitless)\nspecies (unitless)\nsample_full (unitless)\nd13C (per mil vs. VPDB)\nC_ug (micrograms (µg))\nd15N (per mil vs. Air)\nN_ug (micrograms (µg))\nsample_weight_mg (milligrams (mg))\nseason (unitless)\ncruise (unitless)\nyear (unitless)\ncollection_date (unitless)\ntransect (unitless)\nstation (unitless)\nlatitude (degrees_north)\nlongitude (Long, degrees_east)\n... (13 more variables)\n BCO-DMO bcodmo_dataset_986609_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_986825_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_986825_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_986825_v1/ public [Carbon CSI-AA SBB trap foraminifera] - Compound-specific carbon stable isotopes of amino acids in planktic foraminifera from Santa Barbara Basin sediment traps from 2018 to 2021 (Collaborative Research: Constraining Planktic Foraminiferal Ecology Using Compound Specific Isotope Analysis of Amino Acids) We measured carbon and nitrogen compound-specific stable isotopes of amino acids (CSI-AA) in the shells the three most abundant species of planktic foraminifera from Santa Barbara Basin sediment traps from 2018 to 2021: Globigerina bulloides (d'Orbigny, 1826), Neogloboquadrina incompta (Cifelli, 1961), and Turborotalita quinqueloba (Natland, 1938). Multiple sediment trap collections were combined to constitute representative samples. The N. incompta sample included individuals from sediment trap collections from May 2019 to October 2021 (n=4082). The T. quinqueloba sample included individuals from December 2018 to October 2021 (n=4964). G. bulloides was sufficiently abundant to split into seasonal samples: spring/summer from February 2019 to July 2019 (n=5081) and fall/winter from October to January in years 2018-2019, 2019-2020, 2020-2021 (n=3132). The collection of these data were supported by NSF OCE. This dataset includes only the carbon CSI-AA data. Nitrogen data are available in a related dataset.\n\ncdm_data_type = Other\nVARIABLES:\nSample (unitless)\nStart_date (unitless)\nEnd_date (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\nAla (permille)\nGly (permille)\nThr (permille)\nSer (permille)\nVal (permille)\nLeu (permille)\nIle (permille)\nPro (permille)\nAsp (permille)\nGlu (permille)\nPhe (permille)\nTyr (permille)\n... (14 more variables)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_986825_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_986825_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_986825_v1/index.htmlTable https://osprey.bco-dmo.org/dataset/986825 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_986825_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_986825_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_986825_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_876729_v2 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_876729_v2.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_876729_v2/ public [Carbon Geochemistry Data] - Concentrations, d13C and D14C data for DOC and DIC in fluids collected from North Pond Cork Observatories U1382A and U1383C and from bottom seawater in 2012, 2014 and 2017. (Collaborative Research: A multidimensional approach to understanding microbial carbon cycling beneath the seafloor during cool hydrothermal circulation) Carbon geochemistry is presented for subsurface fluids collected from Cork Observatories U1382A and U1383C installed on the Mid-Atlantic Ridge at North Pond as well as from bottom seawater. Data are summarized from fluids collected in 2012, 2014 and 2017. Parameters measured or calculated are pH, total alkalinity, DIC concentrations, d13C and D14C values and DOC concentrations, d13C and D14C values.\n\nUnderstanding carbon cycling in cool oceanic crust at sites like North Pond contributes to quantifying fluxes of carbon from hydrothermal systems to the deep ocean. These data assess the evolution of carbon reservoirs in fluids that are isolated from the crust and were collected by Dr. Sunita Shah Walter at the University of Delaware\n\ncdm_data_type = Other\nVARIABLES:\nsampling_year (unitless)\nlocation (unitless)\nlatitude_unitless (Latitude, degrees_north)\nlongitude_unitless (Longitude, degrees_east)\nlatitude (Latitude_dd, degrees_north)\nlongitude (Longitude_dd, degrees_east)\ntime (Sample_date, seconds since 1970-01-01T00:00:00Z)\nDIC_conc (mmol/kg (millimolar))\nDIC_conc_error (mmol/kg (millimolar))\nTotal_Alk (mmol/kg (millimolar))\npH (unitless)\ndelta_13C_DIC (parts per thousand, per mil (‰))\ndelta_13C_DIC_error (parts per thousand, per mil (‰))\ndelta_14C_DIC (parts per thousand, per mil (‰))\ndelta_14C_DIC_error (parts per thousand, per mil (‰))\nDIC_NOSAMS_accession_number (unitless)\nDOC_conc (umol/kg (micromolar))\ndelta_13C_DOC_original (parts per thousand, per mil (‰))\n... (9 more variables)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_876729_v2_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_876729_v2_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_876729_v2/index.htmlTable https://www.bco-dmo.org/dataset/876729 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_876729_v2.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_876729_v2&showErrors=false&email= BCO-DMO bcodmo_dataset_876729_v2
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_963736_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_963736_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_963736_v1/ public [Carbonate chemistry for OAE North Atlantic experiments] - Carbonate chemistry data for shipboard ocean alkalinity enhancement (OAE) experiments in the North Atlantic on R/V Atlantic Explorer cruise AE2320 in September 2023 (OCE-PRF:  Towards Quantifying Calcium Carbonate Sediment Dissolution During Marine Diagenesis) To explore mineral formation due to alkalinity addition, we present results from shipboard experiments in which an aqueous solution of NaOH was added to unfiltered seawater collected from the surface ocean in the Sargasso Sea. Alkalinity addition ranged from 500 to 2000 micromoles per kilogram (µmol.kg-1) and the carbonate chemistry was monitored through time by measuring total alkalinity (TA) and dissolved inorganic carbon (DIC), which were used to calculate Ω. The amount of precipitate and its minerology were determined throughout the experiments. Mineral precipitation took place in all experiments over a timescale of hours to days. The dominant mineralogy of precipitate is aragonite with trace amounts of calcite and brucite. Aragonite crystallite size increases and its micro-strain decreases with time, consistent with Ostwald ripening. This dataset contains carbonate chemistry data that include TA and DIC measurements, precipitation rates from the shipboard experiments, and precipitation rates calculated in the same way (by changes in alkalinity through time) for the study of Moras et al. (2022) and precipitation rate data from Mucci et al. (1989).\n\ncdm_data_type = Other\nVARIABLES:\nExperiment_name (unitless)\nTA_addition (micromoles (umol))\nStart_day (unitless)\nStart_time (unitless)\nEnd_day (unitless)\nEnd_time (unitless)\nDuration (hours (h))\nmeasured_TA (micromoles per kilogram (umol/kg))\nTA_std (micromoles per kilogram (umol/kg))\nmeasured_DIC (micromoles per kilogram (umol/kg))\nDIC_std (micromoles per kilogram (umol/kg))\ncalculated_DIC (micromoles per kilogram (umol/kg))\ncalculated_CaCO3_precipitate (milligrams per kilogram (mg/kg))\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_963736_v1/index.htmlTable https://osprey.bco-dmo.org/dataset/963736 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_963736_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_963736_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_963736_v1
log in [Carbonate rock macrofauna Sanak Seep 2024] - Carbonate rock macrofauna collected by HOV Alvin during R/V Atlantis cruise AT50-24 at Sanak Seep Alaska from May 30 to June 6, 2024 (Collaborative Research: Redefining the footprint of deep ocean methane seepage for benthic ecosystems) Quantitative counts of macrofauna (identified to major taxa) inhabiting authigenic carbonates were conducted at Sanak Seep in the Aleutian Islands (53.74853°N, 162.5889°W) at 2020 meters depth. Rock samples were collected by the HOV Alvin submersible during the R/V Atlantis AT50-24 cruise (Chief Scientist Lisa Levin) at the methane seep site between May 30 and June 4, 2024. Samples were collected using HOV Alvin using the manipulator and were placed in isolated biobox compartments. Samples were preserved and the analyzed at the University of California-San Diego Scripps.\n\ncdm_data_type = Other\nVARIABLES:\nAlvin_Dive (unitless)\nDate_Recovered (unitless)\nSite (unitless)\nSubstrate_Type (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\ndepth (m)\nSample_Number (unitless)\nSurface_Area (cm^2)\nSample_ID (unitless)\nAmpharetidae_sp_1 (unitless)\nChrysopetalidae_sp_1 (unitless)\nCirratulidae_sp_1 (unitless)\nCirratulidae_sp_2 (unitless)\nDorvilleidae_sp_1 (unitless)\nDorvilleidae_sp_2 (unitless)\nDorvilleidae_sp_3 (unitless)\nDorvilleidae_sp_4 (unitless)\nDorvilleidae_sp_5 (unitless)\nDorvilleidae_sp_6 (unitless)\nExogoninae_sp_1 (unitless)\nExogoninae_sp_2 (unitless)\n... (71 more variables)\n BCO-DMO bcodmo_dataset_984553_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_960511_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_960511_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_960511_v1/ public [Carbonate rock species composition] - Carbonate rock species composition from samples collected by HOV Alvin during R/V Atlantis cruises AT37-13 and AT42-03 and ROV SuBastian during R/V Falkor cruise FK190106 at Pacific margin of Costa Rica from 2017 to 2019 (Collaborative research: Quantifying the biological, chemical, and physical linkages between chemosynthetic communities and the surrounding deep sea) This dataset is a matrix of individuals counts of species by sample of carbonate rocks collected by HOV Alvin during R/V Atlantis cruise AT37-13 (2017) and AT42-03 (2018) and ROV SuBastian during R/V Falkor cruise FK190106 (2019) at the Quepos Landslide, Mound 12, and Jaco Scar methane seeps in the Pacific margin of Costa Rica. It includes cruise, dive, collection, and sample information, as well as the description of seep location and activity level and description of treatment (in situ, colonization, or transplant).\n\ncdm_data_type = Other\nVARIABLES:\nCruise_ID (unitless)\nCruise_year (unitless)\nVehicle (unitless)\nDive_ID (unitless)\nDive_Start_Date (unitless)\nSample_number (unitless)\nSample_ID (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\ndepth (m)\nExperiment (unitless)\nSeep (unitless)\nSeepage_activity (unitless)\nSurface_Area (cm2)\nAnnelida_unID (unitless)\nAnnelida_sp_1 (unitless)\nAnnelida_sp_2 (unitless)\nAnnelida_sp_3 (unitless)\nAnnelida_sp_4 (unitless)\nAmpharetidae_unID (unitless)\nAmpharetidae_sp_1 (unitless)\nAmpharetidae_sp_2 (unitless)\n... (309 more variables)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_960511_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_960511_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_960511_v1/index.htmlTable https://osprey.bco-dmo.org/dataset/960511 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_960511_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_960511_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_960511_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_954439_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_954439_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_954439_v1/ public [Caribbean sponges - nanoSIMS] - NanoSIMS data from sponges collected in Summerland Key in Florida between July 27 - August 19, 2021 (Collaborative Research: Investigations into microbially mediated ecological diversification in sponges) Sponges represent one of the oldest extant animal phyla, and their associations with microbial symbionts have likely played a critical role in their success on oligotrophic coral reefs. For example, variation in the abundance, diversity, and community composition of microbiomes across host species may drive niche partitioning due to differential assimilation and recycling of nutrients across sponge species. With Nanoscale secondary ion mass spectrometry (NanoSIMS), we evaluated the respective roles of host and microbial symbiont cells in the uptake and recycling of three resource pools (dissolved organic matter: DOM, particulate organic matter: POM, and inorganic nutrients: NaHCO3 and NaNO3) over 72 hr. NanoSIMS analysis revealed enrichment of individual host and symbiont cells over time and highlighted the differing roles of host and symbiont cells in the uptake and recycling of diverse sources of carbon and nitrogen within two of these species. For instance, dissolved organic matter uptake was mediated by microbial symbionts in one species and by host cells in another species. Together , these results demonstrate that associations with microbial symbionts have facilitated niche partitioning by allowing host sponges to acquire and recycle diverse nutrient pools via unique mechanisms. Field and lab work for this research was carried out in the Florida Keys during June/August of 2021.\n\ncdm_data_type = Other\nVARIABLES:\nRoi_name (unitless)\nRoi_group (unitless)\narea (pixels^2)\nmean13C (ratio (x10000))\nstddev13C (ratio (x10000))\nR_13C12C_12C2 (ratio)\ncorr_R_13C_13C (ratio)\nd_13C_12C (delta 13C in permille)\nspecies (unitless)\nCollection_date (unitless)\ntime_sample (Time, unitless)\nSEM_region (unitless)\nmean15N (ratio (x10000))\n... (7 more variables)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_954439_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_954439_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_954439_v1/index.htmlTable https://osprey.bco-dmo.org/dataset/954439 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_954439_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_954439_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_954439_v1
log in [Carpinteria Salt Marsh Elemental and Isotope Composition Data for Sediment and Biomass] - Elemental and isoptopic composition of sediment and biomass from the Carpinteria Salt March sampled in 2020 and 2021 (Carbon Storage in Mangrove Ecosystems via Abiotic Sulfurization) Here we provide data that help to evaluate organic matter sulfurization and pyrite formation in a salt marsh in California. We collected six sediment cores from three habitat types at Carpinteria Salt Marsh Reserve (34.41336°N, 119.84365°W) in July 2020. One core was used to establish dry bulk density, while the other was reserved for geochemical measurements. Both cores were kept at -20°C until analysis could be carried out. We provide elemental concentrations (organic C/N/S, Fe, pyrite) and isotopic compositions (δ13C, δ34S) of important carbon, iron and sulfur sediment pools. Additional biomass samples were collected between 2020 and 2023 and were also analyzed for elemental (C/N/S) and isotopic compositions (δ13C, δ34S). Data will be useful for those interested in assessing organic matter sulfurization and pyrite formation in blue carbon ecosystems such as mangroves, seagrass meadows and salt marshes. Data will also be informative for researchers investigating organic and inorganic sulfur cycling. Samples were collected by Lena Capece and Morgan Raven, data were interpreted by Lena Capece and Morgan Raven.\n\ncdm_data_type = Other\nVARIABLES:\ncollection_date (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\ntype (unitless)\nlocation (unitless)\ndepth (m)\ndepth_bin (unitless)\nhabitat (unitless)\nOC (weight percent carbon (wt. %C))\nCPK (weight percent carbon (wt. %C))\nOS (unitless)\nSPK (unitless)\nCN (weight percent sulfur (wt. %S))\nCNPK (weight percent sulfur (wt. %S))\nSC (unitless)\nSCPK (unitless)\n... (10 more variables)\n BCO-DMO bcodmo_dataset_938709_v1
log in [Carpinteria Salt Marsh Sulfur Speciation in Sediments and Biomass] - Sulfur speciation of sediment and biomass from the Carpinteria Salt March sampled in 2020 and 2021 (Carbon Storage in Mangrove Ecosystems via Abiotic Sulfurization) Here we provide data that help to evaluate organic matter sulfurization and pyrite formation in a salt marsh in California. We collected six sediment cores from three habitat types at Carpinteria Salt Marsh Reserve (34.41336°N, 119.84365°W) in July 2020. One core was used to establish dry bulk density, while the other was reserved for geochemical measurements. Both cores were kept at -20°C until analysis could be carried out. We provide data on the speciation of sulfur in acid hydrolysis resistant organic matter and biomass samples. Data will be useful for those interested in assessing organic matter sulfurization in blue carbon ecosystems such as mangroves, seagrass meadows and salt marshes. Data will also be informative for researchers investigating organic sulfur cycling. Samples were collected by Lena Capece and Morgan Raven, data were interpreted by Lena Capece and Morgan Raven.\n\ncdm_data_type = Other\nVARIABLES:\ncollection_date (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\ntype (unitless)\nlocation (unitless)\nhabitat (unitless)\ndepth_core (Depth, cm)\ndisulfide (fraction as a decimal)\nmonosulfide (fraction as a decimal)\naromatic (fraction as a decimal)\nsulfoxide (fraction as a decimal)\nsulfonate (fraction as a decimal)\nsulfate_ester (fraction as a decimal)\nchi_sq (unitless)\nreduced (fraction as a decimal)\noxidized (fraction as a decimal)\n BCO-DMO bcodmo_dataset_938382_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_954470_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_954470_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_954470_v1/ public [Carribean sponges - bulk isotopes] - Bulk isotope data from sponges collected in Summerland Key in Florida between July 27 - August 19, 2021 (Collaborative Research: Investigations into microbially mediated ecological diversification in sponges) Sponges represent one of the oldest extant animal phyla, and their associations with microbial symbionts have likely played a critical role in their success on oligotrophic coral reefs. For example, variation in the abundance, diversity, and community composition of microbiomes across host species may drive niche partitioning due to differential assimilation and recycling of nutrients across sponge species. Stable isotope analysis of bulk sponge tissue allowed us to test for evidence of partitioning of three major resource pools (dissolved organic matter: DOM, particulate organic matter: POM, and inorganic nutrients: NaHCO3 and NaNO3) among four emergent Caribbean sponge species. Results from bulk (holobiont tissue including both sponge and microbial cells) stable isotope analysis show niche partitioning, with strong interspecific variation in the relative exploitation of each resource pool. These results demonstrate that associations with microbial symbionts have facilitated niche partitioning by allowing host sponges to acquire and recycle diverse nutrient pools via unique mechanisms.\n\ncdm_data_type = Other\nVARIABLES:\nExperiment (unitless)\ntime_sample (Time, unitless)\nreplicate (unitless)\nspecies_abbreviation (unitless)\nSpecies_name (unitless)\nCollection_date (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\nLinear_corr_d15N (permille (‰))\nwt_perc_N (percentag (%))\nAtm_perc_15N (percentag (%))\nLinear_corr_d13C (permille (‰))\nwt_perc_C (percentag (%))\nAtm_perc_13C (percentag (%))\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_954470_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_954470_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_954470_v1/index.htmlTable https://osprey.bco-dmo.org/dataset/954470 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_954470_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_954470_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_954470_v1
log in [Cascadia Margin seep DOC and associated geochemical data] - Porewater dissolved organic carbon and associated geochemical data for methane seeps in the Cascadia Margin: Astoria Canyon, Barkley Canyon, Hydrate Ridge, and Bullseye Vent (Collaborative Research: Investigating the source and flux of dissolved organic carbon released from methane seeps to the deep-ocean) These data include vertical profiles of concentrations and stable carbon isotope values of dissolved organic carbon (DOC), dissolved inorganic carbon (DIC), total organic carbon (TOC) from sediment cores collected at methane seeps and reference sites. Sediment porosity and dissolved sulfate and methane concentrations are also presented. Methane seeps in Astoria Canyon, Barkley Canyon, Hydrate Ridge, and Bullseye Vent, along the Cascadia Margin, were sampled. These data were collected over two decades and across four cruises: PGC02-08 (CCGS John P. Tully, 2002), Hydrates 2004 Sea Trial (CCGS John P. Tully, 2004), AT50-14 (R/V Atlantis, 2023),  and AT50-29B (R/V Atlantis, 2024).\n\nThese data are used to assess the prevalence of methane-derived DOC at methane seeps, which may contribute ‘old' carbon to the deep ocean or serve as a source of reduced carbon for the deep ocean microbial loop.\n\ncdm_data_type = Other\nVARIABLES:\nRegion (unitless)\nCruise (unitless)\nSamplingDate (seconds since 1970-01-01T00:00:00Z)\nCoreID (unitless)\nSampleID (unitless)\nCoreType (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\nWaterDepth_m (meters (m))\nMidDepth_cmbsf (centimeters below sea floor (cmbsf))\nporosity (unitless)\nSO4_mM (millimolar (mM))\nCH4_uM (micromolar (uM))\nDOC_uM (micromolar (uM))\nDOC_d13C_permil (per mille (‰))\nDIC_mM (millimolar (mM))\n... (4 more variables)\n BCO-DMO bcodmo_dataset_959765_v1
log in [Cayman transplant light and temp data] -  (NSF-BSF: Assessing the mechanisms of molecular and morphological adaptation by corals to extreme environments) In November 2022, colonies of the coral Porites astreoides were collected from two sites off Little Cayman, Cayman Islands, at two depths: shallow (10 m) and mesophotic (45 m). Each colony was bisected, and a cross-depth transplantation experiment was conducted in which one half of each colony was returned to its native depth, while the other half was transplanted to the alternate depth. At each site, light (PME miniPAR) and temperature (HOBO ProV) loggers were deployed to monitor environmental conditions. After a 9-month period, all fragments were recovered and evaluated for survival and overall health status. This dataset includes the light and temperature data recorded during the transplant experiment.\n\ncdm_data_type = Other\nVARIABLES:\nSite_Name (unitless)\ndepth (m)\nlatitude (degrees_north)\nlongitude (Long, degrees_east)\ntime (Utc_datetime, seconds since 1970-01-01T00:00:00Z)\nLocal_Datetime (unitless)\nTemperature (degrees Celsius (C))\nPAR (Micromoles per square meter per second (umol/(s m^2)))\n BCO-DMO bcodmo_dataset_964588_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_996508_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_996508_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_996508_v1/ public [CBL Mysid Survey] - Weekly epi-benthic sled mysid survey observations from Chesapeake Biological Laboratory pier, Solomons, MD, USA, Jun 2022 to Sep 2024 (Planktonic Omnivores and Stable Isotopes: Developing, Validating and Field-testing a Multi-species Functional Response Model) Data from weekly mysid survey that focused on tracking in-situ mysid numbers in shallow water habitat over time. All data was collected in Solomons, MD at the Chesapeake Biological Laboratory's research pier using an epi-benthic sled with 500um mesh from June to September 2022-2024 on a weekly basis (except where noted in comment field). Individual transect pulls were conducted in the same location, direction and distance and designated as shallow vs. deeper shallow habitat.\n\nThis dataset includes collection metadata, station description, and total count of mysids collected.\n\ncdm_data_type = Other\nVARIABLES:\nLocal_DateTime_EDT (unitless)\ntime (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\nlatitude (degrees_north)\nlongitude (Long, degrees_east)\nSTATION (unitless)\nSEASON (unitless)\nTRANSECT (unitless)\nHABITAT (unitless)\nTOTAL_N (unitless)\nCOMMENTS (unitless)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_996508_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_996508_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_996508_v1/index.htmlTable https://osprey.bco-dmo.org/dataset/996508 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_996508_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_996508_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_996508_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_908572_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_908572_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_908572_v1/ public [CDOM] - Chromophoric dissolved organic matter (CDOM) from two microcosm incubation experiments conducted under three light treatments using water originating from West Bay of the Neuse River Estuary, North Carolina USA in 2021 and 2022 (Bacteria as Biosensors of Carbon and Energy Flow in Marine Ecosystems: Quantitative Links Between Substrates, Transcripts, and Metabolism) Chromophoric dissolved organic matter (CDOM) was collected for two microcosm incubation experiments. Sample water originated from West Bay of the Neuse River Estuary, North Carolina USA in 2021 and 2022. The microcosms were 60 liters, conducted in biological duplicates under three light treatment incubations: 12-hour light-dark cycle of photosynthetically active radiation (PAR), 12-hour light-dark cycle of UV-B radiation, or darkness. Samples were collected from the microcosms in duplicate every few days for over one month to examine how light and the resulting microbial activity altered the dissolved organic carbon (DOC) pool over time. Absorbance spectra of 0.2 micron filtered estuarine water was measured from 190 - 1100 nanometers (nm) on a Genesys 10S UV-Vis spectrophotometer for the calculation of absorbance coefficients, spectral slopes, and slope ratio which describe the organic matter complexity as it develops throughout the incubations.\n\ncdm_data_type = Other\nVARIABLES:\nExperiment_Name (unitless)\nStart_date (unitless)\nTreatment (unitless)\nIncubation_day (days)\nTank_ID (unitless)\nnm (nanometers (nm))\nabsp_coef (unitless)\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_908572_v1/index.htmlTable https://www.bco-dmo.org/dataset/908572 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_908572_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_908572_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_908572_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_988658_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_988658_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_988658_v1/ public [CenBASE ³He and SF₆ data] -  (Dual gas tracer measurements during the Central Baltic Sea Air-Sea Exchange Experiment (CenBASE)) This dataset contains measurements of helium-3 (3He) and sulfur hexafluoride (SF6) concentrations obtained from a tracer release experiment conducted in the central Baltic Sea aboard research cruise EMB295 on the R/V Elisabeth Mann Borgese from June 30th to July 19th, 2022. SF6 concentrations were measured onboard using a gas chromatograph equipped with an electron capture detector (GC-ECD), following gas separation via a purge-and-trap SF6 analysis system. 3He concentrations were determined at the laboratory at the Institute of Environmental Physics at the University of Bremen, using a helium isotope mass spectrometer (MAP 215-50).\n\ncdm_data_type = Other\nVARIABLES:\ntime (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\nlatitude (degrees_north)\nlongitude (degrees_east)\ndepth (Depth_m, m)\ntemperature_C (degrees Celsius (°C))\nsalinity (PSU)\nHe3_excess (cubic centimeters at standard temperature and pressure per gram times 10^-16 (ccSTP/g*10-16))\nSF6_pmol_kg (picomoles per kilogram (pmol/kg))\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_988658_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_988658_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_988658_v1/index.htmlTable https://osprey.bco-dmo.org/dataset/988658 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_988658_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_988658_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_988658_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_920653_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_920653_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_920653_v1/ public [Census of heat tolerance among Florida's threatened staghorn corals] - Census of heat tolerance among Florida's threatened staghorn corals from a study of Acropora cervicornis conducted from August to October 2020 (Collaborative Research: Investigating the genomic basis of key performance traits to quantify the evolutionary potential of coral populations under climate change) The rapid loss of reef-building corals owing to ocean warming is driving the development of interventions such as coral propagation and restoration, selective breeding and assisted gene flow. Many of these interventions target naturally heat-tolerant individuals to boost climate resilience, but the challenges of quickly and reliably quantifying heat tolerance and identifying thermotolerant individuals have hampered implementation. Here, we used coral bleaching automated stress systems to perform rapid, standardized heat tolerance assays on 229 colonies of Acropora cervicornis across six coral nurseries spanning Florida's Coral Reef, USA. Analysis of heat stress dose–response curves for each colony revealed a broad range in thermal tolerance among individuals (approx. 2.5°C range in Fv/Fm ED50), with highly reproducible rankings across independent tests (r = 0.76). Most phenotypic variation occurred within nurseries rather than between them, pointing to a potentially dominant role of fixed genetic effects in setting thermal tolerance and widespread distribution of tolerant individuals throughout the population. The identification of tolerant individuals provides immediately actionable information to optimize nursery and restoration programs for Florida's threatened staghorn corals. This work further provides a blueprint for future efforts to identify and source thermally tolerant corals for conservation interventions worldwide.\n\ncdm_data_type = Other\nVARIABLES:\nnursery (unitless)\ncolonyID (unitless)\nlongitude (Source_lon, degrees_east)\nsource_lat (degrees_north)\nA_Acer (Symbiodinium cells per coral cell)\nD_Acer (Durusdinium cells per coral cell)\ndate_CBASS (unitless)\nCBASS_ed50 (degrees Celsius)\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_920653_v1/index.htmlTable https://www.bco-dmo.org/dataset/920653 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_920653_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_920653_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_920653_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_894169_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_894169_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_894169_v1/ public [Cerro Mundo Algal Ash-Free Dry Weight] - Macroalgal biomass data (Preburn, Postburn, and Ash-Free Dry Weight) collected in the nearshore shallow subtidal during six field experiments conducted at Cerro Mundo Bay in the Galapagos Islands between July 2021 and May 2022 (The Role of Temperature in Regulating Herbivory and Algal Biomass in Upwelling Systems) Increased standing macroalgal biomass in upwelling zones is generally assumed to be the result of higher nutrient flux due to upwelled waters. However, other factors can strongly impact macroalgal communities. For example, herbivory and temperature, via their effects on primary producers and the metabolic demands of consumers, can also influence macroalgal biomass and productivity, respectively.  Although there are a fair number of studies looking at the interactive effects of herbivores and nutrients in both tropical and temperate regions, there is a lack of studies looking at these effects in tropical or subtropical upwelling regions. The purpose of this study was to measure the effects that herbivores, temperature, and nutrient availability have on standing macroalgal biomass. We manipulated nutrient availability and herbivory in six field experiments during contrasting productivity and thermal regimes (cool-upwelling and warm, non-upwelling season) on a subtidal nearshore rocky reef.\n\nHere, we present the macroalgal biomass raw data (Preburn, Postburn, and Ash-Free Dry Weight) collected in the nearshore shallow subtidal during the six field experiments.\n\ncdm_data_type = Other\nVARIABLES:\nTrial (unitless)\nCage (unitless)\nTreatment (unitless)\nN (unitless)\nAlgae_Type (unitless)\nFoil_cup_weight (grams (g))\nSample_and_foil_cup_weight (grams (g))\nPreburn_weight (grams (g))\nCeramic_cup_weight (grams (g))\nSample_and_ceramic_cup_weight (grams (g))\nPostburn_weight (grams (g))\nAFDW (grams (g))\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_894169_v1/index.htmlTable https://www.bco-dmo.org/dataset/894169 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_894169_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_894169_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_894169_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_894169_v2 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_894169_v2.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_894169_v2/ public [Cerro Mundo Algal Biomass Data] - Macroalgal biomass data collected in the nearshore shallow subtidal during eight field experiments conducted at Cerro Mundo Bay in the Galapagos Islands between Sept 2021 and Mar 2023 (The Role of Temperature in Regulating Herbivory and Algal Biomass in Upwelling Systems) Increased standing macroalgal biomass in upwelling zones is generally assumed to result from higher nutrient flux associated with upwelled waters. However, other factors can also strongly impact macroalgal communities. For example, herbivory and temperature—through their effects on primary producers and the metabolic demands of consumers—can influence macroalgal biomass and productivity, respectively. Although there are numerous studies examining the interactive effects of herbivores and nutrients in both temperate regions, few have addressed these dynamics in tropical or subtropical upwelling systems.\n\nThe purpose of this study was to assess the effects of herbivores, temperature, and nutrient availability on standing macroalgal biomass and total algal cover. Total algal cover is presented in the related dataset. We manipulated nutrient availability and herbivory in eight field experiments conducted under contrasting productivity and thermal regimes (cool upwelling vs. warm, non-upwelling seasons) on a subtidal nearshore rocky reef. \n\nHere, we present the raw macroalgal biomass data (dry weight in grams) collected from the shallow subtidal zone during September 2021 to April 2023 field experiments.\n\ncdm_data_type = Other\nVARIABLES:\nTrial (unitless)\nCage (unitless)\nTreatment (unitless)\nN (unitless)\nAlgae_Type (unitless)\nFoil_cup_weight (grams (g))\nSample_and_foil_cup_weight (grams (g))\nDry_weight (grams (g))\nCeramic_cup_weight (grams (g))\nSample_and_ceramic_cup_weight (grams (g))\nPostburn_weight (grams (g))\nAFDW (grams (g))\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_894169_v2/index.htmlTable https://osprey.bco-dmo.org/dataset/894169 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_894169_v2.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_894169_v2&showErrors=false&email= BCO-DMO bcodmo_dataset_894169_v2
log in [Cerro Mundo Algal Percent Cover Data] - Algal Percent Cover Data collected in the nearshore shallow subtidal during eight field experiments conducted at Cerro Mundo Bay in the Galapagos Islands between Sep 2021 and Apr 2023 (The Role of Temperature in Regulating Herbivory and Algal Biomass in Upwelling Systems) Increased standing macroalgal biomass in upwelling zones is generally assumed to result from higher nutrient flux associated with upwelled waters. However, other factors can also strongly impact macroalgal communities. For example, herbivory and temperature—through their effects on primary producers and the metabolic demands of consumers—can influence macroalgal biomass and productivity, respectively. Although there are numerous studies examining the interactive effects of herbivores and nutrients in both temperate regions, few have addressed these dynamics in tropical or subtropical upwelling systems. The purpose of this study was to assess the effects of herbivores, temperature, and nutrient availability on standing macroalgal biomass and total algal cover. Macroalgal biomass is presented in the related dataset. We manipulated nutrient availability and herbivory in eight field experiments conducted under contrasting productivity and thermal regimes (cool upwelling vs. warm, non-upwelling seasons) on a subtidal nearshore rocky reef.\n\nHere, we present the algal percent cover data collected from the shallow subtidal zone during September 2021 to April 2023 field experiments.\n\ncdm_data_type = Other\nVARIABLES:\nCage (unitless)\nTreatment (unitless)\nN (unitless)\nMonthstart (unitless)\nMonthend (unitless)\nYear (unitless)\nUlva (unitless)\nUlva_pct (percent)\ncca (unitless)\ncca_pct (percent)\nBrown_foliose_algae (unitless)\nBrown_foliose_algae_pct (percent)\nHPM (unitless)\nHPM_pct (percent)\n... (23 more variables)\n BCO-DMO bcodmo_dataset_985410_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_904195_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_904195_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_904195_v1/ public [Cerro Mundo Temperature 2] - Environmental temperature data collected at Cerro Mundo Bay, San Cristobal, Galapagos from 2022-2023 (Galapagos 2021 project) (Temperature Regulation of Top-Down Control in a Pacific Upwelling System) Increased standing macroalgal biomass in upwelling zones is generally assumed to be the result of higher nutrient flux due to upwelled waters, However, other factors can strongly impact macroalgal communities. For example, herbivory and temperature, via their effects on primary producers and the metabolic demands of consumers, can also influence macroalgal biomass and productivity, respectively.  Although there is a fair number of studies looking at the interactive effects of herbivores and nutrients in both tropical and temperate regions, there is a lack of studies looking at these effects in tropical or subtropical upwelling regions. The purpose of this study was to measure the effects that herbivores, temperature, and nutrient availability have on standing macroalgal biomass. We manipulated nutrient availability and herbivory in six field experiments during contrasting productivity and thermal regimes (cool-upwelling and warm, non-upwelling season) on a subtidal nearshore rocky reef. \n\nHere, we present a set of temperature (°C) data collected at Cerro Mundo Bay, San Cristobal, Galapagos from September 2022 to February 2023. The environmental temperature was recorded every 15 minutes using a HOBO Water Temperature pro V2 Data Logger (Onset®) attached to the seafloor at a 10 meters depth mark.\n\ncdm_data_type = Other\nVARIABLES:\nDateTime_Local (unitless)\ntime (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\nTemp (Celcius)\nLatitude (degrees_north)\nlongitude (degrees_east)\ndepth (m)\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_904195_v1/index.htmlTable https://www.bco-dmo.org/dataset/904195 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_904195_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_904195_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_904195_v1
log in [Cerro Mundo Temperature] - Environmental temperature data collected at Cerro Mundo Bay, San Cristobal, Galapagos from 2022-2024 (Galapagos 2021 project) (Temperature Regulation of Top-Down Control in a Pacific Upwelling System) Increased standing macroalgal biomass in upwelling zones is generally assumed to be the result of higher nutrient flux due to upwelled waters, However, other factors can strongly impact macroalgal communities. For example, herbivory and temperature, via their effects on primary producers and the metabolic demands of consumers, can also influence macroalgal biomass and productivity, respectively. Although there is a fair number of studies looking at the interactive effects of herbivores and nutrients in both tropical and temperate regions, there is a lack of studies looking at these effects in tropical or subtropical upwelling regions. The purpose of this study was to measure the effects that herbivores, temperature, and nutrient availability have on standing macroalgal biomass. We manipulated nutrient availability and herbivory in six field experiments during contrasting productivity and thermal regimes (cool-upwelling and warm, non-upwelling season) on a subtidal nearshore rocky reef. \n\nHere, we present a set of temperature (°C) data collected at Cerro Mundo Bay, San Cristobal, Galapagos from September 2022 to August 2024. The environmental temperature was recorded every 10 minutes using a HOBO Water Temperature pro V2 Data Logger (Onset®) attached to the seafloor at a 10 meters depth mark.\n\ncdm_data_type = Other\nVARIABLES:\nDateTime_Local (unitless)\ntime (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\nTemp (Celcius)\nlatitude (degrees_north)\nlongitude (degrees_east)\ndepth (m)\n BCO-DMO bcodmo_dataset_904195_v2
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_894125_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_894125_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_894125_v1/ public [Cerro Mundo Temperature] - Temperature data collected at Cerro Mundo Bay, San Cristobal, Galapagos from July 2019 to August 2022 using an Onset HOBO Water Temperature Pro v2 Data Logger (The Role of Temperature in Regulating Herbivory and Algal Biomass in Upwelling Systems) Increased standing macroalgal biomass in upwelling zones is generally assumed to be the result of higher nutrient flux due to upwelled waters. However, other factors can strongly impact macroalgal communities. For example, herbivory and temperature, via their effects on primary producers and the metabolic demands of consumers, can also influence macroalgal biomass and productivity, respectively.  Although there are a fair number of studies looking at the interactive effects of herbivores and nutrients in both tropical and temperate regions, there is a lack of studies looking at these effects in tropical or subtropical upwelling regions. The purpose of this study was to measure the effects that herbivores, temperature, and nutrient availability have on standing macroalgal biomass. We manipulated nutrient availability and herbivory in six field experiments during contrasting productivity and thermal regimes (cool-upwelling and warm, non-upwelling season) on a subtidal nearshore rocky reef. \n\nHere, we present a set of temperature (°C) data collected at Cerro Mundo Bay, San Cristobal, Galapagos from July 2019 to August 2022. The environmental temperature was recorded every 15 minutes using a HOBO Water Temperature Pro v2 Data Logger (Onset®) attached to the seafloor at a 10 meters depth mark.\n\ncdm_data_type = Other\nVARIABLES:\nISO_DateTime_Local (unitless)\ntime (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\nTemp (degrees Celsius)\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_894125_v1/index.htmlTable https://www.bco-dmo.org/dataset/894125 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_894125_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_894125_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_894125_v1
log in [Chemotaxis of P. haloplanktis towards exudates of Synechoccocus] - Chemotaxis of P. haloplanktis towards exudates of phage-infected and control Synechoccocus (VIC project) (Collaborative Research: Viral induced chemotaxis mediating cross-trophic microbial interactions and carbon flux) This data set summarises the chemotactic response of a model marine bacteria (Pseudoalteromonas haloplanktis  ATCC 700530) to filtered exudates of the cyanobacteria Synechococcus sp WH8102. Two filtrate sets were collected, each spanning 6 time points (named T1 -> T6), with the initial assays split into 4 biological replicates (named A,B,C,D). \n\nThe two treatments were:\n\n1) A control treatment (named \"Control\", or shortened to \"C\")\n\n2) A phage-infected treatment (named \"Phage\", or shortened to \"P\"), where host Synechococcus were infected with the T-4 like Myovirus S-SSM5, with data collected over the pre-lysis cycle.\n\nThese treatments are fully described in: https://doi.org/10.1038/s43705-022-00169-6.\n\n\nAt both time points, statistically significant preference was measured towards the phage-infected exudates by analyzing the cell distribution across a microfluidic channel.\n\ncdm_data_type = Other\nVARIABLES:\nExperiment_ID (unitless)\nExperiment_type (unitless)\nBioreplicate_ID (unitless)\nTime_point_ID (unitless)\nTreatment (unitless)\nTime_t (minutes)\nbeta_Repeat_1 (unitless)\nbeta_Repeat_2 (unitless)\nbeta_Repeat_3 (unitless)\nAverage (unitless)\nStandard_Error (unitless)\n BCO-DMO bcodmo_dataset_913620_v1
log in [Chemotaxis of V. alginolyticus towards Synechococcus Cells] -  (Collaborative Research: Viral induced chemotaxis mediating cross-trophic microbial interactions and carbon flux) This data set summarises the chemotactic response of model heterotrophic bacteria, Vibrio alginolyticus towards phage-infected cyanobacteria Synechococcus cells/exudates respectively. Phage treatments are fully described in: https://doi.org/10.1038/s43705-022-00169-6.\n\nSix microfluidic experiments were conducted each on different days: three with phage infection and three control, uninfected experiments. Both uninfected and phage-infected experiments were performed identically, with the substitution of phage addition for an equivalent volume of SN media in the uninfected experiments. All infection experiments were performed within a week using the same phage stock, with Synechococcus WH8102 as the host. Non-motile host cells were loaded into a microfluidic chamber with the model heterotrophic bacteria V. alginolyticus. \n\nAnalysis of the cell spatial distribution over time revealed a strong sustained accumulation of chemotactic bacteria towards phage-infected cyanobacteria, and no measurable accumulation in the control condition. This provides the first direct experimental evidence of chemotaxis of heterotrophic bacteria towards cyanobacteria.\n\ncdm_data_type = Other\nVARIABLES:\ntime_sample (Time, minutes)\nINF1_4HPI (unitless)\nINF2_4HPI (unitless)\nINF3_4HPI (unitless)\nINF_4HPI_AVG (unitless)\nINF_4HPI_SEM (unitless)\nINF1_8HPI (unitless)\nINF2_8HPI (unitless)\nINF3_8HPI (unitless)\nINF_8HPI_AVG (unitless)\nINF_8HPI_SEM (unitless)\nUI1_4HPI (unitless)\nUI2_4HPI (unitless)\n... (8 more variables)\n BCO-DMO bcodmo_dataset_913619_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_896158_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_896158_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_896158_v1/ public [Chesapeake Bay Nutrients 2021] - Nutrients from CTD casts conducted on R/V Hugh R. Sharp cruise HRS2110 in the Chesapeake Bay during August 2021 (Nitrite Oxidation in Oxygen Minimum Zones) This dataset includes nutrient data from R/V Hugh R. Sharp cruise HRS2110 in the Chesapeake Bay during August 2021.\n\ncdm_data_type = Other\nVARIABLES:\nCast (unitless)\nStation (unitless)\nDate (unitless)\nLatitude (decimal degrees)\nLongitude (decimal degrees)\nDepth (meters (m))\nNH4 (micromolar (uM))\nNH4_stdev (micromolar (uM))\nNO2 (micromolar (uM))\nNO2_stdev (micromolar (uM))\nNO3 (micromolar (uM))\nNO3_stdev (micromolar (uM))\nUrea (micromolar (uM))\nUrea_stdv (micromolar (uM))\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_896158_v1/index.htmlTable https://www.bco-dmo.org/dataset/896158 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_896158_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_896158_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_896158_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_896169_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_896169_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_896169_v1/ public [Chesapeake Bay Nutrients 2022] - Nutrients from CTD casts conducted on R/V Hugh R. Sharp cruise HRS2212 in the Chesapeake Bay during August 2022 (Nitrite Oxidation in Oxygen Minimum Zones) This dataset includes nutrient data from R/V Hugh R. Sharp cruise HRS2212 in the Chesapeake Bay during August 2022.\n\ncdm_data_type = Other\nVARIABLES:\nCast (unitless)\nStation (unitless)\nDate (unitless)\nLatitude (decimal degrees)\nLongitude (decimal degrees)\nDepth (meters (m))\nNH4 (micromolar (uM))\nNH4_stdev (micromolar (uM))\nNO2 (micromolar (uM))\nNO2_stdev (micromolar (uM))\nNO3 (micromolar (uM))\nNO3_stdev (micromolar (uM))\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_896169_v1/index.htmlTable https://www.bco-dmo.org/dataset/896169 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_896169_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_896169_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_896169_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_943455_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_943455_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_943455_v1/ public [Chlorophyll a fluorometry] - Fluorometric measurements of chlorophyll a from R/V Roger Revelle cruise RR2201 in the Eastern Indian Ocean (Argo Basin) during February 2022 (Collaborative Research: Mesoscale variability in nitrogen sources and food-web dynamics supporting larval southern bluefin tuna in the eastern Indian Ocean) This dataset contains fluorometric measurements of chlorophyll a from cruise RR2201 on R/V Roger Revelle (BLOOFINZ-IO, January-March 2022) in the Argo Basin region off NW Australia.\n\ncdm_data_type = Other\nVARIABLES:\nCruise (unitless)\nEvent (unitless)\ntime (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\nlatitude (degrees_north)\nlongitude (degrees_east)\nCycle_Day (unitless)\nCTD_Cast (unitless)\ndepth (m)\nChla (milligrams per cubic meter (mg m-3))\nPhaeo (milligrams per cubic meter (mg m-3))\nChl_Integr (milligrams per square meter (mg m-2))\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_943455_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_943455_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_943455_v1/index.htmlTable https://www.bco-dmo.org/dataset/943455 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_943455_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_943455_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_943455_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_929873_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_929873_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_929873_v1/ public [Chlorophyll-a concentrations in seawater near the BATS station, cruises AE2113 and AE2303] - Chlorophyll-a concentrations in seawater collected near the BATS station during R/V Atlantic Explorer cruises AE2113 (July 2021) and AE2303 (January 2023) (Collaborative Research: Seasonal Variability in refractory dissolved organic carbon fluxes associated with primary marine aerosol emitted from the oceans) This dataset includes the concentrations of Chlorophyll a (Chl a) determined in 0.2 µm-filtered seawater samples collected from the Bermuda Atlantic Time-series Study (BATS) station during a summer cruise in 2021 and a winter cruise in 2023. The Chl a concentration in each sample was quantified by fluorescence under subdued lighting using a Turner Designs model AU-10 fluorometer by Dr. Joanna Kinsey. This dataset was compiled by Dr. Lei Xue under the supervision of Dr. David Kieber at the State University of New York, College of Environmental Science and Forestry. These data were used to evaluate the seasonal variation of primary productivity at the BATS station. This work is part of a larger study to understand the seasonal variability in the fraction of refractory organic carbon in primary marine aerosol at the BATS station.\n\ncdm_data_type = Other\nVARIABLES:\nCruise_ID (unitless)\ntime (Sampling_iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\nCTD_Filename (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\nStation (unitless)\nCast (unitless)\nCTD_Bottle (unitless)\nSalinity (part per thousand (ppt))\nTemperature (degree Celsius)\ndepth (Sampling_depth, m)\nVolume_Filtered (milliliter (ml))\nDilution_Factor (unitless)\nExtraction_Volume (milliliter (ml))\nChl_a (microgram per liter (ug/L))\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_929873_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_929873_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_929873_v1/index.htmlTable https://www.bco-dmo.org/dataset/929873 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_929873_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_929873_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_929873_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_984494_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_984494_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_984494_v1/ public [Chlorophyll] - Chlorophyll a concentrations collected from Project \"DaVINCi\" incubations in the Gulf of Naples, Italy from April to May 2022 (Shunt or shuttle? Nutrient-driven biogeochemical consequences of diatom host-virus interactions) Chlorophyll a was measured on seawater samples collected from nutrient amendment incubation experiments conducted on surface water collected at the Long-Term Ecological Monitoring Station, MareChiara, in the Gulf of Naples, Italy, between April 20 and May 19, 2022.\n\ncdm_data_type = Other\nVARIABLES:\nDate (unitless)\nIncubation (unitless)\nIncubation_Timepoint_d (day)\nBag (unitless)\nTreatment (unitless)\nReplicate_Bag (unitless)\nChl_0_4_um (micrograms per liter (ug/L))\nChl_0_4_um_SD (micrograms per liter (ug/L))\nphaeophytin_0_4_um (micrograms per liter (ug/L))\nphaeophytin_0_4_um_SD (micrograms per liter (ug/L))\nChl_10_um (micrograms per liter (ug/L))\nChl_10_um_SD (micrograms per liter (ug/L))\nphaeophytin_10_um (micrograms per liter (ug/L))\nphaeophytin_10_um_SD (micrograms per liter (ug/L))\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_984494_v1/index.htmlTable https://osprey.bco-dmo.org/dataset/984494 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_984494_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_984494_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_984494_v1
log in [CHN Experiment BATS 2023] - Fecal pellet elemental composition (CHN), production rates, and morphometrics from zooplankton incubation experiments collected during R/V Atlantic Explorer cruise AE2306 at the Bermuda Atlantic Time-series Study (BATS) site in Mar 2023 (Collaborative Research: Zooplankton mediation of particle formation in the Sargasso Sea) This dataset reports the elemental composition of individual fecal pellets measured during a targeted experiment during the March 2023 BATS cruise (AE2306) aboard the R/V Atlantic Explorer in the Sargasso Sea near Bermuda. The elemental composition of individual fecal pellets (carbon density and C:N ratios) are reported, along with fecal pellet production rates derived from CHN data and experiment metadata. Supplemental files include zooplankton dry and wet weights for individuals used in elemental analyses, enabling organism-level scaling of elemental fluxes (CHN_Zooplankton.csv), and individual fecal pellet morphometrics and summed volumes for pellets collected for CHN analysis (CHN_Fecal_Pellets.csv). \n\nTogether with the related datasets, these data provide integrated measurements linking zooplankton identity, size, fecal-pellet production, pellet elemental composition, and aggregate formation, supporting process-based analyses of zooplankton roles in particle production and vertical carbon transfer at BATS. The data were collected aboard the R/V Atlantic Explorer through the collaborative efforts of the laboratories of Dr. Susanne Neuer, Dr. Amy Maas, and Dr. Leocadio Blanco-Bercial, affiliated with Arizona State University and the Bermuda Institute of Ocean Sciences.\n\ncdm_data_type = Other\nVARIABLES:\nDate (unitless)\nCruise (unitless)\nTrawl (unitless)\nStart_Time (unitless)\nEnd_Time (unitless)\nMin_Depth (meters (m))\nMax_Depth (meters (m))\nExperiment (unitless)\nGFF_filter_num (unitless)\nZooplankton_Groups (unitless)\nZooplankton_Taxa (unitless)\nnum_Zooplankton (unitless)\n... (13 more variables)\n BCO-DMO bcodmo_dataset_998152_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_998152_v2 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_998152_v2.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_998152_v2/ public [CHN Experiment BATS 2023] - Fecal pellet elemental composition (CHN), production rates, and morphometrics from zooplankton incubation experiments collected during R/V Atlantic Explorer cruise AE2306 at the Bermuda Atlantic Time-series Study (BATS) site in Mar 2023 (Collaborative Research: Zooplankton mediation of particle formation in the Sargasso Sea) This dataset reports the elemental composition of individual fecal pellets measured during a targeted experiment during the March 2023 BATS cruise (AE2306) aboard the R/V Atlantic Explorer in the Sargasso Sea near Bermuda. The elemental composition of individual fecal pellets (carbon density and C:N ratios) are reported, along with fecal pellet production rates derived from CHN data and experiment metadata. Supplemental files include zooplankton dry and wet weights for individuals used in elemental analyses, enabling organism-level scaling of elemental fluxes (CHN_Zooplankton.csv), and individual fecal pellet morphometrics and summed volumes for pellets collected for CHN analysis (CHN_Fecal_Pellets.csv). \n\nTogether with the related datasets, these data provide integrated measurements linking zooplankton identity, size, fecal-pellet production, pellet elemental composition, and aggregate formation, supporting process-based analyses of zooplankton roles in particle production and vertical carbon transfer at BATS. The data were collected aboard the R/V Atlantic Explorer through the collaborative efforts of the laboratories of Dr. Susanne Neuer, Dr. Amy Maas, and Dr. Leocadio Blanco-Bercial, affiliated with Arizona State University and the Bermuda Institute of Ocean Sciences.\n\ncdm_data_type = Other\nVARIABLES:\nDate (unitless)\nCruise (unitless)\nTrawl (unitless)\nStart_Time (unitless)\nEnd_Time (unitless)\nMin_Depth (meters (m))\nMax_Depth (meters (m))\nExperiment (unitless)\nGFF_filter_num (unitless)\nZooplankton_Groups (unitless)\nZooplankton_Taxa (unitless)\nnum_Zooplankton (unitless)\n... (14 more variables)\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_998152_v2/index.htmlTable https://osprey.bco-dmo.org/dataset/998152 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_998152_v2.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_998152_v2&showErrors=false&email= BCO-DMO bcodmo_dataset_998152_v2
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_874909_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_874909_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_874909_v1/ public [CICLOPS TMR hydrography data] - Hydrography sensor data from trace metal rosette (TMR) casts at 26 stations near coastal Antarctica during RVIB Nathaniel B. Palmer cruise NBP18-01 from Dec 2017 to Feb 2018 (Collaborative Research:  Cobalamin and Iron Co-Limitation Of Phytoplankton Species  in Terra Nova Bay) This dataset provides the trace metal rosette (TMR) hydrography data from the Amundsen and Ross Seas, including from Terra Nova Bay, collected onboard the R/V Nathaniel B. Palmer as part of the Cobalamin and Iron Co-Limitation of Phytoplankton Species (CICLOPS) expedition from December 11, 2017 to March 3, 2018. Sensor information and calibration dates are available in the report 'NBP1801_Data_Report.pdf' available as a supplemental file.\n\ncdm_data_type = Other\nVARIABLES:\nLatitude (degrees_north)\nlongitude (degrees_east)\ntime (Tmr_start_datetime_utc, seconds since 1970-01-01T00:00:00Z)\nStation (unitless)\nPressure (decibar)\ndepth (m)\nTemperature (degrees Celsius)\nConductivity (millisiemens per centimeter (mS/cm))\nOxygen (milliliter per liter (mL/L))\nFluorescence (milligrams per cubic meter (mg/m^3))\nBeam (percent (%))\nPAR_Irradiance (watts per square meter (W/m^2))\nSalinity (practical salinity unit (PSU))\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_874909_v1/index.htmlTable https://www.bco-dmo.org/dataset/874909 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_874909_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_874909_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_874909_v1
log in [CLA Phosphate Threshold Data] - Measurements of C–P lyase phosphate thresholds in Stutzerimonas frequens cultures (North Pacific Methane Project) (Collaborative Research: NSF OCE-BSF: Coupling organic nutrient cycling to methane production in the oligotrophic North Pacific Ocean) This dataset contains results from an experiment investigating the phosphate concentration threshold for C-P lyase activity in cultures of Stutzerimonas frequens. The dataset includes measurements of total dissolved phosphorus (TDP), soluble reactive phosphorus (SRP), and dissolved organic phosphorus (DOP) in the culture medium at the end of incubation. Additional parameters include cell concentrations from cultures, methane produced by the cultures during the experiment, and rates of C-P lyase activity (CLA).\n\nTDP, SRP, and DOP were measured using standard colorimetric methods. Cell concentrations were determined by flow cytometry. Methane concentrations and δ¹³C values were measured with a Picarro gas analyzer, and CLA was quantified using a fluorescently labeled phosphonate probe.\n\nThese data demonstrate that C-P lyase activity is regulated by dissolved phosphate concentrations and that S. frequens upregulates C-P lyase genes when phosphate concentrations drop below 90 nM. The cultures were grown by Dr. Oscar Sosa, and the samples were analyzed by Dr. Benjamin Granzow.\n\ncdm_data_type = Other\nVARIABLES:\nBottle (unitless)\nCondition (unitless)\nType (unitless)\nInitial_PO4 (nM)\nResidual_PO4 (nM)\nPO4_Uptake (nM)\nInitial_TDP (nM)\nTDP (nM)\nDOP (nM)\ncells_ml_avg (cells/mL)\ncells_ml_sd (cells/mL)\ncells_ml_cv (cells/mL)\nCH4 (nM)\ndelta13_CH4 (per_mille)\nnDPPh_Concentration (pM)\nnDP_Concentration (pM)\n BCO-DMO bcodmo_dataset_984527_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_929764_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_929764_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_929764_v1/ public [CliOMZ AT50-10 AUV Clio Data: Clio Dive Log] - Log file from AUV Clio taken on R/V Atlantis (CliOMZ AT50-10 expedition) from Golfito Costa Rica to San Diego USA in May-June 2023. (Collaborative Research: Underexplored Connections between Nitrogen and Trace Metal Cycling in Oxygen Minimum Zones Mediated by Metalloenzyme Inventories) This dataset contains the dive log from Autonomous Underwater Vehicle (AUV) Clio which was obtained during the CliOMZ AT50-10 expedition onboard R/V Atlantis from May-June 2023. The dataset contains metadata specifying sampling characteristics for each dive.\n\ncdm_data_type = Other\nVARIABLES:\nCRUISE_ID (unitless)\nPROGRAM_ID (unitless)\nCLIO_DIVE_ID (unitless)\nUID (unitless)\nSTATION (unitless)\nDEPTH_STATION_TYPE (unitless)\nDEPTH_STATION_ORDER (unitless)\nDEPTH_STATION_PARAMETERS (meters)\nBAY (unitless)\nSUPR_UNIT (unitless)\nSUPR_VALVE (unitless)\nSUPR_FILTER_INCUBATOR (unitless)\nFILTERS (unitless)\nSTOP_CONDITION_TIME_VOL_RATE (minutes (time), liters (volume), liters per minute (rate))\nSTOP_TIME (minutes)\nSTOP_VOLUME (liters)\nSTOP_RATE (liters per minute)\nINCUBATOR_PURGE_TIME (minute)\nINCUBATOR_FILL_TIME (minute)\nSAMPLE_START_TIME_UTC (UTC)\ndepth (Actual_depth_m, m)\nVOLUME_FILTERED_L (liters)\nTIME_SPENT_FILTERING_min (minutes)\nVEHICLE_COMMENT (unitless)\nSUBMERGE_TIME_UTC (seconds since 1970-01-01T00:00:00Z)\n... (8 more variables)\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_929764_v1/index.htmlTable https://www.bco-dmo.org/dataset/929764 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_929764_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_929764_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_929764_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_928684_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_928684_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_928684_v1/ public [CliOMZ AT50-10 AUV Clio Data: Processed first profiles] - Processed first profiles of sensor data from AUV Clio taken on R/V Atlantis (CliOMZ AT50-10 expedition) from Golfito Costa Rica to San Diego USA in May-June 2023. (Collaborative Research: Underexplored Connections between Nitrogen and Trace Metal Cycling in Oxygen Minimum Zones Mediated by Metalloenzyme Inventories) This is oceanographic profiles generated by Clio, an Autonomous Underwater Vehicle (AUV) focused on biogeochemical sampling. Clio was deployed on the R/V Atlantis CliOMZ AT50-10 expedition from Golfito, Costa Rica to San Diego, USA from May - June of 2023. The dataset contains processed profiling sensor data from the initial vehicle descent (i.e., the “first profile”). This profile data contains all sensors binned into 0.5 m depth increments.\n\ncdm_data_type = Other\nVARIABLES:\nCRUISE_ID (unitless)\nDIVE_ID (unitless)\ntime (Submerge_time_utc, seconds since 1970-01-01T00:00:00Z)\nlatitude (Submerge_lat, degrees_north)\nlongitude (Submerge_lon, degrees_east)\nLeftBinDepth (meters)\nRightBinDepth (meters)\nCTDtemp (celsius)\nCTDsal (psu, practical salinity unit)\nCTDpress (decibar)\nCTDconduct (Siemens/meter)\nOptO2 (micromolar , uM)\nFluoChl (micrograms per deciliter)\nFluoTurb (Nephelometric Turbidity unit)\nTransCalcBeam (m^-1)\nSunaNitrate (micromolar, uM)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_928684_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_928684_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_928684_v1/index.htmlTable https://www.bco-dmo.org/dataset/928684 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_928684_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_928684_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_928684_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_928720_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_928720_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_928720_v1/ public [CliOMZ AT50-10 AUV Clio Data: Tracer summary] - Summaries of tigerclaw and bushbaby tracers from AUV Clio taken on R/V Atlantis (CliOMZ AT50-10 expedition) from Golfito Costa Rica to San Diego USA in May-June 2023. (Collaborative Research: Underexplored Connections between Nitrogen and Trace Metal Cycling in Oxygen Minimum Zones Mediated by Metalloenzyme Inventories) This dataset contains processed profiling sensor data from Autonomous Underwater Vehicle (AUV) Clio which was obtained during the CliOMZ AT50-10 expedition onboard R/V Atlantis from May-June 2023. The mean and standard deviation are given for each sensor parameter during the period in which a particular SUPR sample was taken.\n\ncdm_data_type = Other\nVARIABLES:\nCRUISE_ID (unitless)\nDIVE_ID (unitless)\nUID (unitless)\ntime (Submerge_time_utc, seconds since 1970-01-01T00:00:00Z)\nlatitude (Submerge_lat, degrees_north)\nlongitude (Submerge_lon, degrees_east)\nTracer (unitless)\nValve (unitless)\nMeanCTDTemp (celsius)\nStdCTDTemp (celsius)\nMeanCTDSal (psu)\nStdCTDSal (psu)\nMeanCTDPressure (decibar)\nStdCTDPressure (decibar)\nMeanCTDConductivity (Siemens / meter)\nStdCTDConductivity (Siemens / meter)\nMeanO2conc (micromolar, uM)\nStdO2 (micromolar, uM)\nMeanChl (micrograms per deciliter)\nStdChl (micrograms per deciliter)\nMeanTurb (Nephelometric Turbidity unit)\nStdTurb (Nephelometric Turbidity unit)\nMeanTransAtten (m^-1)\nStdTransAtten (m^-1)\nMeanNitrate (micromolar, uM)\nStdNitrate (micromolar, uM)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_928720_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_928720_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_928720_v1/index.htmlTable https://www.bco-dmo.org/dataset/928720 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_928720_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_928720_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_928720_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_929694_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_929694_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_929694_v1/ public [CliOMZ AT50-10 Trace Metal Rosette Log] - Trace metal rosette log of samples taken on board of the R/V Atlantis during the CliOMZ AT50-10 expedition from Golfito, Costa Rica to San Diego, USA that occurred in May - June of 2023. (Collaborative Research: Underexplored Connections between Nitrogen and Trace Metal Cycling in Oxygen Minimum Zones Mediated by Metalloenzyme Inventories) This is the log for the trace metal rosette niskin bottles deployed on the R/V Atlantis CliOMZ AT50-10 expedition from Golfito Costa Rica to San Diego USA that occurred in May - June of 2023.  The log contains metadata associated with each rosette deployment, including location, bottle depth, and time. The rosette was launched on 1/4\" kevlar line spooled on a MASH2K winch from the East Coast Winch Pool. The Science party included members from WHOI, UCSB, UTGRV, and Clark University.\n\ncdm_data_type = Other\nVARIABLES:\nCruise_ID (unitless)\nStation_number (unitless)\nCast_number (unitless)\nStart_date_UTC (unitless)\nStart_time_UTC (unitless)\ntime (Iso_datetime_utc_start, seconds since 1970-01-01T00:00:00Z)\nStart_Lat (decimal degrees)\nStart_Long (decimal degrees)\nCast_total_depth_m (m)\nNiskin (unitless)\nprogram_depth (meter (m))\ndepth (Real_depth, m)\nNotes (unitless)\nsample_number (unitless)\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_929694_v1/index.htmlTable https://www.bco-dmo.org/dataset/929694 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_929694_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_929694_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_929694_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_922268_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_922268_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_922268_v1/ public [CliOMZ AT50-10 Underway Sampling Log] - Log for the samples taken using the Underway system on board of the R/V Atlantis during the CliOMZ AT50-10 expedition from Golfito, Costa Rica to San Diego, USA that occurred in May - June of 2023. (Collaborative Research: Underexplored Connections between Nitrogen and Trace Metal Cycling in Oxygen Minimum Zones Mediated by Metalloenzyme Inventories) This is the log for the samples taken using the Underway system on board of the R/V Atlantis during the CliOMZ AT50-10 expedition from Golfito, Costa Rica to San Diego, USA that occurred in May - June of 2023.  The log contains metadata associated with the locations where samples were collected, including coordinates, depth, time, volume filtered, filter type, and subsamples' fractions. A Geotech in-line acrylic filter holder connected to a flowmeter were attached to the Underway water flow and particulates were collected. The Science party included members from WHOI, UCSB, UTGRV, and Clark University\n\ncdm_data_type = Other\nVARIABLES:\nCruise_ID (unitless)\nStation_number (unitless)\nStart_Date_UTC (UTC)\nStart_Time_UTC (UTC)\nEnd_Date_UTC (UTC)\nEnd_Time_UTC (UTC)\nStart_Lat (decimal degrees)\nStart_Long (decimal degrees)\nEnd_Lat (decimal degrees)\nEnd_Long (decimal degrees)\ndepth (m)\nSampling_device (unitless)\nAt_station_or_transit (unitless)\nFilter_type (unitless)\nVolume_filtered (liters (L))\nDEPLOYMENT_COMMENTS (unitless)\nSAMPLE_PRFEIX (unitless)\nSUPOR_0_2_PROTEIN1 (unitless)\nSUPOR_0_2_PROTEIN2 (unitless)\nSUPOR_0_2_DNA1 (unitless)\nSUPOR_0_2_DNA2 (unitless)\n... (12 more variables)\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_922268_v1/index.htmlTable https://www.bco-dmo.org/dataset/922268 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_922268_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_922268_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_922268_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_948396_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_948396_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_948396_v1/ public [CliOMZ Dark DIC fixation rates] - Dark DIC Fixation Rates collected from CliOMZ AT50-10 in the Eastern Pacific Ocean from May to June 2023 (CliOMZ project) (Collaborative Research: Underexplored Connections between Nitrogen and Trace Metal Cycling in Oxygen Minimum Zones Mediated by Metalloenzyme Inventories) These data include dark dissolved inorganic carbon (DIC) fixation rates measured on R/V Atlantis (CliOMZ AT50-10 expedition) from Golfito, Costa Rica to San Diego, USA in May-June 2023.  We aimed at quantifying dark DIC fixation rates associated with nitrification by specifically inhibiting ammonia-oxidizing microorganisms. Instruments used were a CTD profiler and a scintillation counter (Perkin-Elmer Tri-Carb 2910 TR).\n\ncdm_data_type = Other\nVARIABLES:\nCruise (unitless)\nDate (unitless)\nlongitude (Latitude, degrees_east)\nlatitude (Longitude, degrees_north)\nStation (unitless)\ndepth (m)\nTreatment (unitless)\nDIC_fixation (nanomoles per liter per day (nmol/L/d))\nIncubation_time (hours (h))\nDIC_conc (micromoles per liter (umol/L))\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_948396_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_948396_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_948396_v1/index.htmlTable https://www.bco-dmo.org/dataset/948396 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_948396_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_948396_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_948396_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_948396_v2 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_948396_v2.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_948396_v2/ public [CliOMZ Dark DIC fixation rates] - Dark DIC Fixation Rates collected from CliOMZ AT50-10 in the Eastern Pacific Ocean from May to June 2023 (CliOMZ project) (Collaborative Research: Underexplored Connections between Nitrogen and Trace Metal Cycling in Oxygen Minimum Zones Mediated by Metalloenzyme Inventories) These data include dark dissolved inorganic carbon (DIC) fixation rates measured on R/V Atlantis (CliOMZ AT50-10 expedition) from Golfito, Costa Rica to San Diego, USA in May-June 2023.  We aimed at quantifying dark DIC fixation rates associated with nitrification by specifically inhibiting ammonia-oxidizing microorganisms. Instruments used were a CTD profiler and a scintillation counter (Perkin-Elmer Tri-Carb 2910 TR).\n\ncdm_data_type = Other\nVARIABLES:\nCruise (unitless)\nDate (unitless)\nlongitude (Latitude, degrees_east)\nlatitude (Longitude, degrees_north)\nStation (unitless)\ndepth (m)\nTreatment (unitless)\nDIC_fixation (nanomoles per liter per day (nmol/L/d))\nIncubation_time (hours (h))\nDIC_conc (micromoles per liter (umol/L))\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_948396_v2_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_948396_v2_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_948396_v2/index.htmlTable https://osprey.bco-dmo.org/dataset/948396 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_948396_v2.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_948396_v2&showErrors=false&email= BCO-DMO bcodmo_dataset_948396_v2
log in [CliOMZ Dark DIC fixation rates] - Dark DIC Fixation Rates collected from CliOMZ AT50-10 in the Eastern Pacific Ocean from May to June 2023 (CliOMZ project) (Collaborative Research: Underexplored Connections between Nitrogen and Trace Metal Cycling in Oxygen Minimum Zones Mediated by Metalloenzyme Inventories) These data include dark dissolved inorganic carbon (DIC) fixation rates measured on R/V Atlantis (CliOMZ AT50-10 expedition) from Golfito, Costa Rica to San Diego, USA in May-June 2023.  We aimed at quantifying dark DIC fixation rates associated with nitrification by specifically inhibiting ammonia-oxidizing microorganisms. Instruments used were a CTD profiler and a scintillation counter (Perkin-Elmer Tri-Carb 2910 TR).\n\ncdm_data_type = Other\nVARIABLES:\nCruise (unitless)\nDate (unitless)\nlongitude (Latitude, degrees_east)\nlatitude (Longitude, degrees_north)\nStation (unitless)\ndepth (m)\nTreatment (unitless)\nDIC_fixation (nanomoles per liter per day (nmol/L/d))\nIncubation_time (hours (h))\nDIC_conc (micromoles per liter (umol/L))\n BCO-DMO bcodmo_dataset_948396_v3
log in [CliOMZ Dark DIC fixation rates] - Dark DIC Fixation Rates collected from CliOMZ AT50-10 in the Eastern Pacific Ocean from May to June 2023 (CliOMZ project) (Collaborative Research: Underexplored Connections between Nitrogen and Trace Metal Cycling in Oxygen Minimum Zones Mediated by Metalloenzyme Inventories) These data include dark dissolved inorganic carbon (DIC) fixation rates measured on R/V Atlantis (CliOMZ AT50-10 expedition) from Golfito, Costa Rica to San Diego, USA in May-June 2023.  We aimed at quantifying dark DIC fixation rates associated with nitrification by specifically inhibiting ammonia-oxidizing microorganisms. Instruments used were a CTD profiler and a scintillation counter (Perkin-Elmer Tri-Carb 2910 TR).\n\ncdm_data_type = Other\nVARIABLES:\nCruise (unitless)\nDate (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\nStation (unitless)\nCast (unitless)\ndepth (m)\nTreatment (unitless)\nDIC_fixation (nanomoles per liter per day (nmol/L/d))\nIncubation_time (hours (h))\nDIC_conc (micromoles per liter (umol/L))\n BCO-DMO bcodmo_dataset_948396_v4
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_948411_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_948411_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_948411_v1/ public [CliOMZ Heterotrophic production rates] - Heterotrophic Production Rates collected from CliOMZ AT50-10 in the Eastern Pacific Ocean from May to June 2023 (CliOMZ project) (Collaborative Research: Underexplored Connections between Nitrogen and Trace Metal Cycling in Oxygen Minimum Zones Mediated by Metalloenzyme Inventories) These data include heterotrophic production rates measured on R/V Atlantis (CliOMZ AT50-10 expedition) from Golfito, Costa Rica to San Diego, USA in May-June 2023.  We aimed at comparing heterotrophic and chemoautotrophic microbial activities at the selected study sites. Instruments used were a CTD profiler and a scintillation counter (Perkin-Elmer Tri-Carb 2910 TR).\n\ncdm_data_type = Other\nVARIABLES:\nCruise (unitless)\nDate (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\nStation (unitless)\nCast (unitless)\ndepth (m)\nHet_production (nanomoles carbon per liter per day (nmol C/L/d))\nTreatment (unitless)\nIncubation_time (hours (h))\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_948411_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_948411_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_948411_v1/index.htmlTable https://www.bco-dmo.org/dataset/948411 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_948411_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_948411_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_948411_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_954872_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_954872_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_954872_v1/ public [CliOMZ nitrification and nitrite oxidation rates] - Nitrification and nitrite oxidation rate data collected during R/V Revelle cruise RR2104 and R/V Atlantis cruise AT50-10 in the Eastern Tropical and Subtropical Pacific Ocean from 2021 to 2023 (Collaborative Research: Underexplored Connections between Nitrogen and Trace Metal Cycling in Oxygen Minimum Zones Mediated by Metalloenzyme Inventories) These data include nitrification and nitrite oxidation rates measured during oceanographic expeditions on R/V Roger Revelle from San Diego to San Diego, USA in June 2021 and on R/V Atlantic (CliOMZ AT50-10 expedition) from Golfito, Costa Rica to San Diego, USA in May-June 2023. Instruments used were a CTD profiler and an isotope ratio mass spectrometer.\n\ncdm_data_type = Other\nVARIABLES:\nCruise (unitless)\nDate (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\nStation (unitless)\nCast (unitless)\ndepth (m)\nNitrification (nanomoles per Liter per day (nmol/L/day))\nNitrite_oxidation (nanomoles per Liter per day (nmol/L/day))\nTreatment (unitless)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_954872_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_954872_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_954872_v1/index.htmlTable https://osprey.bco-dmo.org/dataset/954872 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_954872_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_954872_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_954872_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_970545_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_970545_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_970545_v1/ public [CliOMZ Nitrifier Abundances] -  (Collaborative Research: Underexplored Connections between Nitrogen and Trace Metal Cycling in Oxygen Minimum Zones Mediated by Metalloenzyme Inventories) These data include nitrifier abundances measured on R/V Atlantic (CliOMZ AT50-10 expedition) from Golfito, Costa Rica to San Diego, USA in May-June 2023. Instruments used were a CTD profiler and a quantitative PCR machine.\n\ncdm_data_type = Other\nVARIABLES:\nCruise (unitless)\nDate (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\nStation (unitless)\nCast (unitless)\ndepth (m)\nMean_Nitrosopumilaceae (16S rRNA gene copies per L)\nSD_Nitrosopumilaceae (16S rRNA gene copies per L)\nMean_Nitrospinaceae (16S rRNA gene copies per L)\nSD_Nitrospinaceae (16S rRNA gene copies per L)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_970545_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_970545_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_970545_v1/index.htmlTable https://osprey.bco-dmo.org/dataset/970545 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_970545_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_970545_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_970545_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_948503_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_948503_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_948503_v1/ public [CliOMZ Nutrient profile data] - Nutrient profile data from discrete water samples collected during R/V Revelle cruise RR2104 and R/V Atlantis cruise AT50-10 in the Eastern Tropical and Subtropical Pacific Ocean from 2021 to 2023 (Collaborative Research: Underexplored Connections between Nitrogen and Trace Metal Cycling in Oxygen Minimum Zones Mediated by Metalloenzyme Inventories) These data include nutrient measurements from two oceanographic expeditions on R/V Roger Revelle from San Diego to San Diego, USA in June 2021 and on R/V Atlantic (CliOMZ AT50-10 expedition) from Golfito, Costa Rica to San Diego, USA in May-June 2023. Instruments used were a CTD profiler, a fluorometer, and a flow injection analysis system.\n\ncdm_data_type = Other\nVARIABLES:\nCruise (unitless)\nDate (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\nStation (unitless)\nCast (unitless)\ndepth (m)\nNitrite (micromoles per liter (umol/L))\nNitrite_plus_Nitrate (micromoles per liter (umol/L))\nAmmonium (micromoles per liter (umol/L))\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_948503_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_948503_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_948503_v1/index.htmlTable https://osprey.bco-dmo.org/dataset/948503 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_948503_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_948503_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_948503_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_998962_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_998962_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_998962_v1/ public [Co-phylogeny of Perkinsus-Crassostrea] - RADseq SNP genotypes of Perkinsus marinus and Crassostrea virginica from the Gulf of Mexico and eastern Atlantic shorelines collected from 2011-2019 (The genetic legacy of an Asian oyster introduction and its disease-causing parasite) For host–parasite interactions, genotype-by-sequencing can allow the simultaneous examination of host and parasite genomes and can yield insight into co-evolutionary processes. The eastern oyster, Crassostrea virginica, is among the most important aquacultured species in the United States. Natural and farmed oyster populations can be heavily impacted by ‘dermo' disease caused by an alveolate protist, Perkinsus marinus. Here, we used restricted site-associated DNA sequencing (RADseq) to simultaneously examine the spatial population genetic structure of host and parasite. We analyzed 393 single-nucleotide polymorphisms (SNPs) for P. marinus and 52,100 SNPs for C. virginica from 36 individual oysters from the Gulf of Mexico (GOM) and mid-Atlantic coastline. \n\nThis dataset includes metadata, methods, links to published code and processed data used to generate figures for results publication Weatherup et al. (2024, doi:10.1017/S0031182024000611) titled \"Co-phylogeographic structure in a disease-causing parasite and its oyster host.\" This dataset also includes genetic accession identifiers for sequence data contributed to the National Center for Biotechnology Information (NCBI)'s Sequence Read Archive (SRA), available under BioProject PRJNA1074361.\n\ncdm_data_type = Other\nVARIABLES:\nBioSample (unitless)\nsample_name (unitless)\norganism (unitless)\nisolate (unitless)\nhost (unitless)\nisolation_source (unitless)\ngeo_loc_name (unitless)\ntissue (unitless)\ndate_collection (unitless)\nsiteName (unitless)\nState (unitless)\nRegion (unitless)\nRegion2 (unitless)\n... (5 more variables)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_998962_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_998962_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_998962_v1/index.htmlTable https://osprey.bco-dmo.org/dataset/998962 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_998962_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_998962_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_998962_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_982177_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_982177_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_982177_v1/ public [Coastal DOM Galveston Bay] - Biochemical data on dissolved organic matter composition from Galveston Bay collected on five one-day trips aboard R/V Trident following Hurricane Harvey from September 4 to 28, 2017 (Collaborative Research: Distribution and Cycling of Carboxyl-Rich Alicyclic Molecules (CRAM) in the Ocean) This dataset contains biochemical data on dissolved organic matter composition collected on five consecutive one-day trips aboard R/V Trident along a transect from the Port of Houston to the Galveston Bay entrance following Hurricane Harvey from September 4 to September 28, 2017.\n\ncdm_data_type = Other\nVARIABLES:\nDate (unitless)\nStation (unitless)\nlatitude (degrees_north)\nlongitude (Long, degrees_east)\nSalinity (psu)\nDOC (micromoles per liter (umol L-1))\na254 (per meter (m-1))\nSUVA (L mgC-1  m-1)\nS275_295 (unitless)\nS350_400 (unitless)\nSR (unitless)\nHIX (unitless)\nBIX (unitless)\nFI (unitless)\nC1 (Raman units)\nC2 (Raman units)\nC3 (Raman units)\nC4 (Raman units)\nPAL (nanomoles per liter (nmol L-1))\nPON (nanomoles per liter (nmol L-1))\nPAD (nanomoles per liter (nmol L-1))\nVAL (nanomoles per liter (nmol L-1))\nVON (nanomoles per liter (nmol L-1))\nVAD (nanomoles per liter (nmol L-1))\nSAL (nanomoles per liter (nmol L-1))\n... (26 more variables)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_982177_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_982177_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_982177_v1/index.htmlTable https://osprey.bco-dmo.org/dataset/982177 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_982177_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_982177_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_982177_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_926813_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_926813_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_926813_v1/ public [Coastal intertidal temperatures] - Intertidal temperatures measured via data loggers deployed at 19 rocky intertidal sites in California, USA and Baja California, Mexico from spring 2022 to fall 2023 (Predicting impacts of coastal species redistribution in a changing climate) Coastal zones are some of the most productive and most threatened ecosystems on Earth, yet our ability to predict their vulnerability or resilience is limited due to the highly dynamic nature of these habitats. Importantly, surface temperatures measured at broad scales (e.g., by satellites) cannot capture onshore temperatures which vary at meso- and micro-scales due to, e.g., aspect, solar radiation, waves, etc. We monitored intertidal temperatures via data loggers deployed at 19 rocky intertidal sites in California, USA and Baja California, Mexico. Loggers were deployed at 1.0 meter (m) above MLLW (mean lower-low water) at all sites and at 0.5 and 1.5 m at a subset of sites. At each site and tide height (for sites with multiple loggers), completeness of the temperature record varies but most provide continuous records for up to ~18 months from spring 2022 to fall 2023.\n\ncdm_data_type = Other\nVARIABLES:\nSite_Name (unitless)\nLatitude (degrees_north)\nlongitude (degrees_east)\nElevation (meters above mean lower-low water)\nISO_DateTime_PDT (unitless)\ntime (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\nTemperature (degrees Celsius)\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_926813_v1/index.htmlTable https://www.bco-dmo.org/dataset/926813 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_926813_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_926813_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_926813_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_925313_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_925313_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_925313_v1/ public [Cocos Ridge C14 Data] - Radiocarbon (C14) calendar ages measured on pelagic foraminifera species collected from sediment cores from the Cocos Ridge (Eastern Equatorial Pacific) acquired during cruise SR2113 between November - December 2021. (Collaborative Research: New approaches to study calcium carbonate dissolution on the sea floor and its impact on paleo-proxy interpretations) These data include radiocarbon (C14) calendar ages measured on pelagic foraminifera species collected from sediment cores from the Cocos Ridge in the Eastern Equatorial Pacific. This cruise was aboard the R/V Sally Ride between 2021-11-20 and 2021-12-20. Instruments used were a multicorer and accelerator mass spectrometry . These data contributed to our understanding of the carbonate chemistry system in this region, particularly regarding carbonate dissolution in deep-sea sediments. Patrick Rafter (UC Irvine) measured C14 calendar ages.\n\ncdm_data_type = Other\nVARIABLES:\nStation (unitless)\nDate (unitless)\nLatitude (degrees_north)\nlongitude (degrees_east)\ndepth (Water_column_depth, m)\nSediment_Depth (centimeters (cm))\nForam_sp (unitless)\nAphiaID (unitless)\nC14_age (year (yr))\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_925313_v1/index.htmlTable https://www.bco-dmo.org/dataset/925313 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_925313_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_925313_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_925313_v1
log in [Cocos Ridge Porewater Data] - In situ porewater data from the Cocos Ridge (Eastern Equatorial Pacific) acquired during cruise SR2113 between November - December 2021 (Collaborative Research: New approaches to study calcium carbonate dissolution on the sea floor and its impact on paleo-proxy interpretations) These data include porewater measurements with a focus on carbonate chemistry from the Cocos Ridge in the Eastern Equatorial Pacific. This cruise was aboard the R/V Sally Ride between 2021-11-20 and 2021-12-20. Instruments used were a novel in situ porewater sampler, spectrophotometer, Liaison autosampler coupled to a Picarro cavity ring-down spectrometer, Inductively Coupled Plasma - Mass Spectrometer, and Inductively Coupled Plasma - Optical Emission Spectrometer. These data contributed to our understanding of the carbonate chemistry system in this region, particularly regarding carbonate dissolution in deep-sea sediments. Xuewu Liu and Kalla Fleger, members of the Robert Byrne lab at University of South Florida, measured alkalinity and pH; Nick Rollins and Jaclyn Cetiner, members of the Will Berelson lab at University of Southern California, measured DIC and delta 13C of DIC; Matt Quinan of the Berelson lab measured silica; Jaclyn Cetiner (USC) and Frank Pavia (Caltech) measured manganese. Jaclyn Cetiner (USC) and Anna Waldeck (Northwestern) measured calcium and strontium.\n\ncdm_data_type = Other\nVARIABLES:\nStation (unitless)\nDeployment (unitless)\nDate (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\nSample_ID (unitless)\nWater_Column_Depth (meters (m))\nSediment_Depth (centimeters (cm))\nAlkalinity (micromoles per kilogram (umol/kg))\npH (total pH scale)\nSilica (micromolar (uM))\nDIC (micromoles per kilogram (umol/kg))\nd13C_DIC (per mil (0/00))\nManganese (micromoles per kilogram (umol/kg))\nCalcium (millimoles per kilogram (mmol/kg))\nStrontium (micromoles per kilogram (umol/kg))\nOmega_calcite (unitless)\n BCO-DMO bcodmo_dataset_925487_v2
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_925132_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_925132_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_925132_v1/ public [Cocos Ridge Solid Phase Data] - Solid phase measurements of sediment cores from the Cocos Ridge (Eastern Equatorial Pacific) acquired during cruise SR2113 between November - December 2021. (Collaborative Research: New approaches to study calcium carbonate dissolution on the sea floor and its impact on paleo-proxy interpretations) These data include solid phase measurements on sediment cores from the Cocos Ridge in the Eastern Equatorial Pacific. This cruise was aboard the R/V Sally Ride between 2021-11-20 and 2021-12-20. Instruments used were a multicorer, Liaison autosampler coupled to a Picarro cavity ring-down spectrometer, and Element Analyzer coupled to a Picarro cavity ring-down spectrometer. These data contributed to our understanding of the carbonate chemistry system in this region, particularly regarding carbonate dissolution in deep-sea sediments. Sijia Dong (Caltech) and Nick Rollins (USC) measured CaCO3 (PIC) and Organic_C (POC).\n\ncdm_data_type = Other\nVARIABLES:\nStation (unitless)\nDate (unitless)\nLatitude (degrees_north)\nlongitude (degrees_east)\nWater_Column_Depth (meters (m))\nSediment_Depth (centimeters (cm))\nPorosity (percent (%))\nCaCO3 (percent (%))\nOrganic_C (percent (%))\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_925132_v1/index.htmlTable https://www.bco-dmo.org/dataset/925132 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_925132_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_925132_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_925132_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_925367_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_925367_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_925367_v1/ public [Cocos Ridge Water Column Data] - Water column data from the Cocos Ridge (Eastern Equatorial Pacific) acquired during cruise SR2113 between November - December 2021 (Collaborative Research: New approaches to study calcium carbonate dissolution on the sea floor and its impact on paleo-proxy interpretations) These data include water column parameters and carbonate chemistry measurements from the Cocos Ridge in the Eastern Equatorial Pacific. This cruise was aboard the R/V Sally Ride between 2021-11-20 and 2021-12-20. Instruments used were a CTD profiler, spectrophotometer, and Picarro cavity ring-down spectrometer. These data contributed to our understanding of the carbonate chemistry system in this region, particularly the water depth location of the calcite saturation horizon. Xuewu Liu and Kalla Fleger, members of the Robert Byrne lab at University of South Florida, measured alkalinity and pH;  Nick Rollins and Jaclyn Cetiner, members of the Will Berelson lab at University of Southern California, measured DIC and delta 13C of DIC.\n\ncdm_data_type = Other\nVARIABLES:\nStation (unitless)\nCast (unitless)\nDate (unitless)\nStart_Time (unitless)\ntime (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\nLatitude (degrees_north)\nlongitude (degrees_east)\nWater_Column_Depth (meters (m))\nPressure (decibars (db))\nTemperature (degrees Celcius (C))\nSalinty (parts per thousand (ppt))\nOxygen (micromoles per kilogram (umol/kg))\nAlkalinity (micromoles per kilogram (umol/kg))\npH (total pH scale)\nDIC (micromoles per kilogram (umol/kg))\nd13C_DIC (per mil (0/00))\nOmega_calcite (unitless)\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_925367_v1/index.htmlTable https://www.bco-dmo.org/dataset/925367 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_925367_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_925367_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_925367_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_949181_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_949181_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_949181_v1/ public [Colonization experiment Tica Vent AT42-21 and RR2102] - Counts of faunal colonists found on experimental settlement surfaces deployed at Tica Vent in East Pacific Rise on R/V Atlantis cruise AT42-21 and R/V Roger Revelle cruise RR2102 from Dec 2019 to Apr 2021 (RUI: Collaborative: The Predictive Nature of Microbial Biofilms for Cuing Larval Settlement at Deep-Sea Hydrothermal Vents) These data include counts of faunal colonists found on experimental settlement surfaces (termed “sandwiches” – comprised of 6 stacked polycarbonate plates separated by spacers) deployed at Tica Vent in the 9°50' N region of the East Pacific Rise and details of the colonization experiment deployments and recoveries (e.g., dive numbers, deployment and recovery times, temperature measurements, etc.). \nSome sandwiches were originally deployed on cruise AT42-21 (R/V Atlantis, December 2019) and additional sandwiches were deployed and all were recovered on cruise RR2102 (R/V Roger Revelle, March-April 2021). Deployment and recovery of sandwiches utilized deep submergence vehicles HOV Alvin and ROV Jason. Sandwiches were deployed in three biogenic zones (Alvinella-dominated, Riftia-dominated, and mussel-dominated) and had either an established microbial biofilm or no biofilm upon the start of the colonization experiment. It was hypothesized that established microbial biofilms may be indicators of suitable habitat for faunal colonists, specifically larvae, in hydrothermal vent environments characterized by high spatial and temporal variability in abiotic conditions. These short-term (~2 week) colonization experiments thus tested whether the age of the microbial biofilm influenced faunal communities that colonized surfaces across a gradient of habitat conditions. \nThese data were collected as part of a collaborative project involving the personnel associated with the labs of Dr. Shawn Arellano (Western Washington University), Dr. Lauren Mullineaux (Woods Hole Oceanographic Institution), and Dr. Costantino Vetriani (Rutgers University). This dataset is published in Ladd et al., 2024 (DOI: 10.1016/j.dsr.2024.104314).\n\ncdm_data_type = Other\nVARIABLES:\nID (unitless)\nSample_type (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\nSite_name (unitless)\nZone (unitless)\nCruise_deployed (unitless)\nDive_deployed (unitless)\n... (72 more variables)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_949181_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_949181_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_949181_v1/index.htmlTable https://www.bco-dmo.org/dataset/949181 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_949181_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_949181_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_949181_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_897415_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_897415_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_897415_v1/ public [Colony level bleaching severity and mortality] - Coral bleaching severity and mortality data from patch reef 13 in Kāne'ohe Bay, O'ahu, Hawai'i from 2015 to 2022 (RAPID: Collaborative Research: Disentangling the effects of heat stress versus bleaching phenotype on coral performance) This dataset contains coral colony-level bleaching severity and mortality (coral genotype, bleaching phenotype, bleaching score, mortality percent) from patch reef 13 in Kāne'ohe Bay, O'ahu, Hawai'i from 2015 to 2022.\n\nThis data set was collected as part of a study of benthic community composition data from patch reef 13 and colony-level bleaching severity data. See Related Dataset \"Benthic cover\" for more data from this study.\n\nStudy abstract:\n\nIncreasingly frequent marine heatwaves are devastating coral reefs. Corals that survive these extreme events must rapidly recover if they are to withstand subsequent events, and long-term survival in the face of rising ocean temperatures may hinge on recovery capacity and acclimatory gains in heat tolerance over an individual's lifespan. To better understand coral recovery trajectories in the face of successive marine heatwaves, we monitored the responses of bleaching-susceptible and bleaching-resistant individuals of two dominant coral species in Hawaiʻi, Montipora capitata and Porites compressa, over a decade that included three marine heatwaves.\n\ncdm_data_type = Other\nVARIABLES:\nColonyID (unitless)\nSpecies (units)\nBleach (unitless)\nDate (unitless)\nScore (units)\nPhenotype\nMortality (percent  (%))\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_897415_v1/index.htmlTable https://www.bco-dmo.org/dataset/897415 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_897415_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_897415_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_897415_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_963393_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_963393_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_963393_v1/ public [Combined Selfish Bacteria Cell Counts 2023-2024] - Cell counts exhibiting 'Selfish' uptake in the Western North Atlantic, in Danish Coastal Seawater, and Abyssopelagic Waters off the Eastern Coast of Japan under varying hydrostatic pressures, 2023-2024 (Collaborative Research: Pressure effects on microbially-catalyzed organic matter degradation in the deep ocean) Heterotrophic bacteria and archaea (here: microbes) are critical drivers of the ocean's biogeochemical cycles, active throughout the depth of the ocean. Their capabilities and limitations help determine the rates and locations at which carbon and nutrients are regenerated, as well as the extent to which organic matter is preserved (Hedges 1992). In the deep ocean, at bathy- and abyssopelagic depths (ca. 1000-6000m), these communities are dependent upon the sinking flux of particulate organic matter (POM) from the surface ocean (Bergauer et al. 2018). This dependence means that heterotrophic microbial communities must produce the extracellular enzymes required to solubilize and hydrolyze high molecular weight (HMW) POM to sizes substrates suitable for cellular uptake. A recent global-scale investigation of deep-sea microbes in fact found that the genetic potential for exported (extracellular) enzymes among bacteria in deep waters was far greater than for communities in surface or mesopelagic waters (Zhao et al. 2020). We have new evidence that a substantial fraction of bacteria in bottom water from the North Atlantic Ocean use a specialized set of extracellular enzymes to rapidly take up HMW polysaccharides (Giljan et al. 2022), a substrate processing mechanism that would not be detected with the low molecular weight substrates used in most prior studies of microbial activity in the deep ocean (Nagata et al. 2010).\n \nThrough our collaboration with the Danish Center for Hadal Research, we were able to use pressurization systems and in situ specialized equipment to investigate the effects of pressures characteristic of bathy- and abyssopelagic depths on microbial communities and their extracellular enzymes in the open North Atlantic Ocean, in Danish Coastal Seawater, and abyssopelagic waters off the Eastern Coast of Japan. \n \nHere we present, in collaboration with colleagues from the Max Planck Institute for Marine Microbiology, the detection and quantification of microbial cells exhibiting selfish uptake behavior of fluorescently-labeled HMW polysaccharides. This dataset includes sample collection metadata, environmental variables, experimental variables, the number of cells detected exhibiting 'selfish' uptake, and total cellular abundance.\n\ncdm_data_type = Other\nVARIABLES:\ndeployment (unitless)\n... (22 more variables)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_963393_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_963393_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_963393_v1/index.htmlTable https://osprey.bco-dmo.org/dataset/963393 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_963393_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_963393_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_963393_v1
log in [Community changes to vesicle addition] - NCBI accession metadata for microbial community responses to bacterial extracellular vesicles in the Sargasso Sea, collected on R/V Atlantic Explorer cruises AE2412 and AE2427 in Apr and Nov 2024 (Collaborative Research: Quantifying the role of microbial extracellular vesicles in marine dissolved organic matter production and consumption) This experiment details changes in marine microbial community composition in response to different carbon sources. To determine whether marine microbes can utilize bacterial extracellular vesicles as a carbon source, we conducted bottle incubations in the Sargasso Sea onboard the R/V Atlantic Explorer kept in a flow-through system. Surface seawater samples were supplemented with either buffer (control), glucose, or extracellular vesicles purified from the cyanobacterium Prochlorococcus or the heterotroph Alteromonas.\n\nCommunity samples were collected over a period of four days aboard the R/V Atlantic Explorer, during cruises AE2412 and AE2427 in April and November 2024. 16S rRNA amplicon sequencing (targeting the V4-V5 region) was carried out to enable analysis of changes in the community. This dataset provides the NCBI/SRA accession metadata associated with this 16S rRNA amplicon sequencing.\n\nThese data will be useful in understanding how bacterial extracellular vesicles - numerically abundant nanoscale structures released by all cells - function as a component of marine dissolved organic carbon pools. Samples were collected by Samantha Silvestri, Dr. Ashley Stein, Christian Nielsen, and Caroline Jongbloed of Wellesley College; and Dr. Krista Longnecker of Woods Hole Oceanographic Institution.\n\ncdm_data_type = Other\nVARIABLES:\nstudy (unitless)\nbioproject_accession (unitless)\nbiosample_accession (unitless)\naccession (unitless)\nsample_name (unitless)\nlibrary_ID (unitless)\nlibrary_strategy (unitless)\nlibrary_source (unitless)\nlibrary_selection (unitless)\nlibrary_layout (unitless)\ntitle (unitless)\nplatform (unitless)\ninstrument_model (unitless)\n BCO-DMO bcodmo_dataset_997617_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_926379_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_926379_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_926379_v1/ public [Community composition of corals in Palau determined by quantitative transects] - Community composition of corals in Palau determined by quantitative transects sampled in April 2023 (Collaborative Research: How do selection, plasticity, and dispersal interact to determine coral success in warmer and more variable environments?) Bottlenecks in the early life-history stages of corals can shape community composition across reefs. We used photographic surveys and the deployment of tiles to capture recruit, juvenile, and adult corals at 7 sites across Palau. Photographic surveys were undertaken using two methods: a qualitative biodiversity survey (2021–2022) and quantitative transects (2023). This dataset includes the results from the quantitative transects.\n\ncdm_data_type = Other\nVARIABLES:\nSite (unitless)\nLatitude (degrees_north)\nlongitude (degrees_east)\nType (unitless)\nStage (unitless)\nTransect (unitless)\nGenus (unitless)\nAbundance (counts of individuals in each 10 square meter transect)\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_926379_v1/index.htmlTable https://www.bco-dmo.org/dataset/926379 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_926379_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_926379_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_926379_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_922789_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_922789_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_922789_v1/ public [Compound specific isotope data] - Compound specific isotope data of amino acids for abyssal macrofauna, megafauna, sediments, sediment traps, and in situ filtered particles at Station ALOHA off Hawaii and Station M off California from 2019 to 2020 (Collaborative Research: Assessing the relative importance of small vs large particles as sources of nutrition to abyssal communities) This dataset includes compound specific isotope data of amino acids for abyssal macrofauna, megafauna, sediments, sediment traps, and in situ filtered particles from off California (Station M) and Hawaii (Station ALOHA) collected from 2019 to 2020. These data were collected as part of a food web project to evaluate the relative importance of small and large particle types to abyssal communities.\n\ncdm_data_type = Other\nVARIABLES:\nSample (unitless)\nCruise (unitless)\nDate_initial (unitless)\nDate_final (unitless)\nSite (unitless)\nLatitude (degrees_north)\nlongitude (degrees_east)\nType (unitless)\nSpecies (unitless)\nType_filter (unitless)\ndepth (m)\nd15N (‰, vs AIR)\nd13C (‰, vs VPDB)\nALA_N (‰, vs AIR)\nGLY_N (‰, vs AIR)\nTHR_N (‰, vs AIR)\nSER_N (‰, vs AIR)\nVAL_N (‰, vs AIR)\nLEU_N (‰, vs AIR)\nILE_N (‰, vs AIR)\nPRO_N (‰, vs AIR)\nASX_N (‰, vs AIR)\nGLX_N (‰, vs AIR)\n... (42 more variables)\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_922789_v1/index.htmlTable https://www.bco-dmo.org/dataset/922789 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_922789_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_922789_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_922789_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_958460_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_958460_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_958460_v1/ public [Compound-specific nitrogen stable isotope ratios of amino acids in size-fractionated particles from Monterey Bay, CA, 2017] - Compound-specific nitrogen stable isotope ratios of amino acids in size-fractionated particles from Monterey Bay, CA, 2017 (Collaborative research: The effects of predator traits on the structure of oceanic food webs) In this dataset we present compound-specific nitrogen stable isotope ratios of amino acids in size-fractionated particles from Monterey Bay, CA. Particles were collected near Monterey Bay Aquarium Research Institute's Midwater 1 time series site via in situ filtration in July and August 2017. Particles were collected at 10 depths from the surface to approximately 500 m and size-fractionated into three size-classes: 0.7-20 µm, 20-100 µm, and >100 µm. Particle data were used for a midwater food web study as well as a study on microbial and metazoan contributions to particulate organic matter.\n\ncdm_data_type = Other\nVARIABLES:\ncollection_date (unitless)\nstart_collection_local_PST (unitless)\ntime (Start_collection_iso_utc, seconds since 1970-01-01T00:00:00Z)\nend_collection_local_PST (unitless)\nend_collection_ISO_UTC (seconds since 1970-01-01T00:00:00Z)\nstart_lat (decimal degrees)\nend_lat (decimal degrees)\nstart_lon (decimal degrees)\nend_lon (decimal degrees)\nPore_size (micron (µm))\ndepth (m)\nAla (permil ( ‰))\nGly (permil ( ‰))\nThr (permil ( ‰))\nSer (permil ( ‰))\nVal (permil ( ‰))\nLeu (permil ( ‰))\nIle (permil ( ‰))\nPro (permil ( ‰))\nAsp (permil ( ‰))\nGlu (permil ( ‰))\n... (14 more variables)\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_958460_v1/index.htmlTable https://osprey.bco-dmo.org/dataset/958460 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_958460_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_958460_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_958460_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_955207_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_955207_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_955207_v1/ public [Concentration and δ15N of Amino Acids in Size-fractionated Particles] - Concentration and δ15N of amino acids in size-fractionated particles from the eastern tropical North Pacific ODZ in December 2020 (Collaborative research: Using individual amino acids N isotopes in sinking particles and surficial sediments to reconstruct euphotic zone N sources and trophic structure) This dataset includes the concentration and δ15N of bulk N and amino acids in size-fractionated particles. Particle samples were collected aboard the R/V Sally Ride (cruise SR2011) from December 23 – 30, 2020 with a McLane large volume pumping system (WTS-LV). These data assess the nitrogen sources utilized by different phytoplankton communities inhabiting the two chlorophyll maxima and the transformation of particulate organic matter within the oxygen-deficient zone.\n\ncdm_data_type = Other\nVARIABLES:\ntime (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\nlatitude (degrees_north)\nlongitude (degrees_east)\nStation (unitless)\nSize_fraction (micrometers)\ndepth (m)\nBulk_N (nanomoles per liter (nmol/L))\nPhe (nanomoles per liter (nmol/L))\nGlu (nanomoles per liter (nmol/L))\nbulk_d15N (per mil relative to air)\nd15N_Phe (per mil relative to air)\nd15N_Phe_sd (per mil relative to air)\nd15N_Glu (per mil relative to air)\nd15N_Glu_sd (per mil relative to air)\nTP (unitless)\nTP_sd (unitless)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_955207_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_955207_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_955207_v1/index.htmlTable https://osprey.bco-dmo.org/dataset/955207 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_955207_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_955207_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_955207_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_914491_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_914491_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_914491_v1/ public [Consensus Reference Material Collection Data] - Consensus Reference Material Collection Data of marine dissolved organic matter collected in the Florida Strait between 2019 and 2023 (Preparation and Distribution of DOC Consensus Reference Materials) The laboratory of Prof. Dennis A. Hansell at the University of Miami is supported by the U.S. National Science Foundation to provide the international community of marine dissolved organic matter analysts the reference waters needed for testing their analytical results against those of a select group of expert analysts. \n\nThree depths of the water column are sampled in the Florida Strait, typically twice each year,  to collect and distribute those waters as reference materials. The deepest water (i.e., deep seawater reference (DSR)) is collected in the Florida Straits at 700 m depth. A mid depth seawater reference (MSR), is collected at 150 m depth and surface seawater reference (SSR) is collected at 5 m. In the data table that follows, the relevant information for each collection during NSF Grant OCE-1844886, awarded to the Hansell laboratory, is provided. These details include the ship employed and its cruise designations, the dates of collection, the batch and lot numbers designated for the reference waters, the locations and depths sampled, the concentrations of dissolved organic carbon (DOC) and total dissolved nitrogen (TDN) in each lot. Finally, hyperlinks to the associated CTD and underway data, archived by RVDATA.US, are provided.\n\ncdm_data_type = Other\nVARIABLES:\nCruise_ID (unitless)\nCollection_Date (unitless)\nLatitude (degrees_north)\nlongitude (degrees_east)\nBatch_ID (unitless)\nDesignations (unitless)\nSampling_Depths (unitless)\nDOC_Conc_uM_Min (micromoles carbon per liter (uM/L))\nDOC_Conc_uM_Max (micromoles carbon per liter (uM/L))\nTDN_Conc_uM_Min (micromoles nitrogen per liter (uM/L))\nTDN_Conc_uM_Max (micromoles nitrogen per liter (uM/L))\nShip (unitless)\nShip_Data (unitless)\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_914491_v1/index.htmlTable https://www.bco-dmo.org/dataset/914491 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_914491_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_914491_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_914491_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_925714_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_925714_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_925714_v1/ public [Control incubation data during calcification experiments] - Control incubation data during Mytilus californianus calcification experiments from 2020 to 2022 (OA decoupling project) (Invertebrate calcification and behavior in seawater of decoupled carbonate chemistry) These data support Incubation data for Mytilus californianus calcification. These incubations did not contain mussels and demonstrate that background alkalinity changes during experimental modules were minor. These data support Incubation data for Mytilus californianus calcification. These data demonstrate that background alkalinity changes during experimental modules were minor.\n\ncdm_data_type = Other\nVARIABLES:\nspecies (units)\nAphiaID (unitless)\nLSID (unitless)\nmodule (unitless)\ndate_local (unitless)\nstart_time_local (unitless)\nISO_start_DateTime_UTC (unitless)\nduration (hours (h))\nsalinity (PSU)\ntemperature (degrees Celcius (c))\nTA (umol kg-1)\nph (unitless)\nhco3 (umol kg-1)\nco3 (umol kg-1)\nomega (unitless)\npco2 (uatm)\ndic (umol kg-1)\ndo (umol kg-1)\nincubation_water_mass (kilograms (kg))\ndelta_ta (umol kg-1)\ndelta_nh3 (umol kg-1)\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_925714_v1/index.htmlTable https://www.bco-dmo.org/dataset/925714 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_925714_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_925714_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_925714_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_928039_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_928039_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_928039_v1/ public [Controlled laboratory study using model organisms Micromonas commoda RCC 299 and Ruegeria pomeroyi DSS-3] - Bacterial transcriptional response to picoeukaryote Micromonas commoda (Effects of Climate Change Variables on Microbial Autotroph-Heterotroph Carbon Flux) Marine biogeochemical cycles are built on interactions between surface ocean microbes, particularly those connecting phytoplankton primary producers to heterotrophic bacteria. However, direct influences of bacteria on phytoplankton physiology are poorly known. In this study, three marine bacteria (Ruegeria pomeroyi DSS-3, Stenotrophomonas sp. SKA14, and Polaribacter dokdonensis MED152) were co-cultured with green alga Micromonas commoda, and the phytoplankter's transcriptome was studied by RNASeq. The presence of each bacterium invoked transcriptomic remodeling by M. commoda after 8 h in co-culture. Some aspects of the algal transcriptomic response were conserved across all three bacteria, while others were restricted to a single bacterium. M. commoda had both rapid and extensive responses to heterotrophic bacteria.\n\ncdm_data_type = Other\nVARIABLES:\nBottle_ID (unitless)\nTreatment (unitless)\nTime_h (hour (h))\nMicromonas_cells_ml (cells per milliliter (cell/ml))\nBacteria_cells_ml (cells per milliliter (cell/ml))\nNH4_uM (micromolar (uM))\nNO3_uM (micromolar (uM))\nPO4_uM (micromolar (uM))\nNCBI_Sample_ID (unitless)\nAccession (unitless)\nBioProject (unitless)\nOrganism (unitless)\nTaxonomy_ID (unitless)\nDescription (unitless)\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_928039_v1/index.htmlTable https://www.bco-dmo.org/dataset/928039 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_928039_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_928039_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_928039_v1
log in [COP Box Core Macrofauna Species Counts 2021-2022] - Box Core Macrofauna Species Counts collected Oregon and Washington Shelf 2021-2022 (Environmental consequences of expanded recruitment of an ecosystem engineer on a hypoxia-influenced continental shelf) Burrowing shrimp influence the sediment properties, animal populations, and ecological processes of the seafloor where they live through the construction and maintenance of their burrows. The burrowing ghost shrimp Neotrypaea sp. are commonly found in U.S. west coast estuaries (bays), sometimes occupying >80% of the intertidal area. In 2022, we documented a large population of ghost shrimp initially found offshore central Oregon in 2019 in waters 40-70 m (< 200 ft) deep where environmental conditions are substantially different from estuaries. Habitat suitability modeling suggested the potential for additional offshore populations on the Oregon and Washington shelves. We conducted ground-truthing sampling using a box core aboard the R/V Pacific Storm October 2021 to July 2022 on three cruises. Results from the ground-truthing cruises were used to target additional sampling areas in July to September 2022 across three more cruises. This dataset includes the macrofaunal counts from all six cruises.\n\ncdm_data_type = Other\nVARIABLES:\nSample (unitless)\nVessel (unitless)\nCruiseID (unitless)\nSite (unitless)\nTime_PDT (unitless)\nSample_Date (unitless)\nDate_PDT (unitless)\nISO_DateTime_PDT (unitless)\ntime (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\nlatitude (Declat, degrees_north)\nlongitude (Declon, degrees_east)\ndepth (Depth_m, m)\ndepth_f (Depth_fa, Fathoms)\nPen_cm (Centimeters)\nOrganism_Group (unitless)\nTaxon_Name_Identified (unitless)\nCount (unitless)\nLowest_Identifiable_Taxon_Accepted (unitless)\nAphiaID (unitless)\nLSID (unitless)\n BCO-DMO bcodmo_dataset_1004883_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_845039_v2 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_845039_v2.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_845039_v2/ public [Coral Associated Microbes on Mo'orean Coral Reefs] - Coral associated microbes on coral, sediment and water sampled from coral reefs in Mo'orea, French Polynesia in 2017 and 2018 (Collaborative Research: Viral Reefscapes: The Role of Viruses in Coral Reef Health, Disease, and Biogeochemical Cycling) Three species of coral, plus water and sediment, were sampled at 21 sites around the island of Mo'orea, French Polynesia during the dry and rainy seasons in 2017 and 2018.  Coral associated microbes (bacteria and archaea) were investigated and their community composition characterized through sequencing of the 16S rRNA gene.\n\ncdm_data_type = Other\nVARIABLES:\nBioSample_accession (unitless)\nSample_name (unitless)\nOrganism (unitless)\nCollection_date (unitless)\nDepth (meters (m))\nEnv_Local_Scale (unitless)\nGeo_Loc_Name (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\nHost (unitless)\nHost_Subject_ID (unitless)\nSequencing_Replicate (unitless)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_845039_v2_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_845039_v2_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_845039_v2/index.htmlTable https://www.bco-dmo.org/dataset/845039 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_845039_v2.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_845039_v2&showErrors=false&email= BCO-DMO bcodmo_dataset_845039_v2
log in [Coral bleaching and mortality] - Coral bleaching and mortality data from a field experiment manipulating herbivore pressure and nutrient availability on a coral reef in Moorea, French Polynesia from 2018 to 2022 (Collaborative Research: Tipping points in coral reefs and their associated microbiomes: interactive effects of herbivory, nutrient enrichment, and temperature) Here, we used a large-scale field experiment on the forereef of Moorea, French Polynesia to directly test how different levels of simulated fishing impacted the dynamics of coral reef communities before, during, and after a major MHW that caused significant coral bleaching and mortality. We used 16, ~1.25m2 exclosures to create four different levels of consumer pressure (Very Low, Low, Medium, and High) by altering the hole sizes in the exclosures to allow access to fishes based on body size. These treatments created a gradient of access for important herbivorous fishes (e.g., parrotfishes, surgeonfishes), as well as corallivorous fishes, and allowed us to examine how reductions in consumer pressure, as would happen with intensifying fishing, impact benthic dynamics. At the beginning of the experiment in 2018, coral cover across treatments was 57%, and we assessed the temporal dynamics of coral and macroalgae in response to altering consumer pressure. In 2019, Moorea experienced one of the most intense MHWs on record resulting in widespread coral mortality. Thus, we were able to directly test how varying consumer pressure impacted coral reef communities during the months prior to the MWH, during the MHW, and then for three years after the immediate impact of the MHW.\n \nUsing Olympus TG cameras, we took ~64 individual photographs of each exclosure which were then stitched together using Agisoft Metashape software. The creation of these photomosaics generates high-resolution imagery that allows identification of benthic space holders with high taxonomic resolution. The photomosaics allowed us to track the fates of individual corals across our time series. At the first time point in our time series (Aug 2018), we gave each individual Pocillopora and Acropora a unique identifying number. During the peak of coral bleaching, in May 2019, we took additional top-down photographs of each exclosure, allowing us to quantify whether each individual coral had bleached and, if so, what proportion of the colony surface area (to the nearest 5%) was bleached or dead. Because corals undergo natural, seasonal variation in Symbiodiniaceae density that can affect their coloration, we defined bleached tissue only as tissue that had lost all pigmentation. Bleaching severity was bimodal, with most corals either 0 or 100 percent bleached. However, approximately 36% of corals with some bleaching had less than 100% of their tissue bleached.  For analyses, we defined 50% bleached as a severe bleaching threshold. Using our photomosaics, we then tracked the annual survival or mortality of each coral in August of each year (Aug 2019, Aug 2020, Aug 2021, Aug 2022).  Corals frequently had partial mortality, with colonies sometimes having small amounts of remnant tissue which would remain for many months. Therefore, we used a threshold of the loss of 90% of live tissue to define a coral as being dead since we never observed recovery from this level of tissue loss.\n\ncdm_data_type = Other\nVARIABLES:\nBlock (unitless)\n... (30 more variables)\n BCO-DMO bcodmo_dataset_1000902_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_897564_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_897564_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_897564_v1/ public [Coral calcification (G) from 1992-2019 in support of Edmunds and Perry (2023) MEPS] - Coral calcification (G) from six sites on the south coast of St. John, USVI from 1992 to 2019 (LTREB Long-term coral reef community dynamics in St. John, USVI: 1987-2019) These data describe coral calcification (G) from 1992-2019 at six sites on the south coast of St. John. G was calculated from ReefBudget using coral density and size by taxon and quadrat.\n\nThese data were published in Edmunds and Perry (2023).\n\ncdm_data_type = Other\nVARIABLES:\nSite (unitless)\nlat (degrees_north)\nlongitude (degrees_east)\nYear (unitless)\nImage (unitless)\nOrbicella_spp (kilograms of calcium carbonate per meter squared per year (kg CaCO3 m-2 yr-1))\nP_astreoides (kilograms of calcium carbonate per meter squared per year (kg CaCO3 m-2 yr-1))\nS_siderea (kilograms of calcium carbonate per meter squared per year (kg CaCO3 m-2 yr-1))\nA_agaricites (kilograms of calcium carbonate per meter squared per year (kg CaCO3 m-2 yr-1))\nMillepora_spp (kilograms of calcium carbonate per meter squared per year (kg CaCO3 m-2 yr-1))\nM_cavernosa (kilograms of calcium carbonate per meter squared per year (kg CaCO3 m-2 yr-1))\nP_porites (kilograms of calcium carbonate per meter squared per year (kg CaCO3 m-2 yr-1))\nOther (kilograms of calcium carbonate per meter squared per year (kg CaCO3 m-2 yr-1))\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_897564_v1/index.htmlTable https://www.bco-dmo.org/dataset/897564 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_897564_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_897564_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_897564_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_872486_v2 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_872486_v2.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_872486_v2/ public [Coral clipping experiment - branching] - Branching data from a clipping experiment conducted on the coral Antillogorgia elisabethae at two sites in the Bahamas determined from June 1999 to June 2000 (Collaborative Research: Pattern and process in the abundance and recruitment of Caribbean octocorals) This dataset results from an experiment in which colonies of the coral Antillogorgia elisabethae were clipped to simulate harvesting/disturbance at 2 sites in the Bahamas, one at Great Abaco and another at San Salvador Island. This dataset includes per capita branching ratio, number of new branches, and number of new branches per mother branch for colonies that were clipped to 10 or 4 branches or not clipped. Version 2 of this dataset, created on 2023-11-07, includes a correction to the latitude of the Abaco site.\n\ncdm_data_type = Other\nVARIABLES:\nLocation (unitless)\nLatitude (degrees_north)\nlongitude (degrees_east)\nTreatment (unitless)\nSiteTreat (unitless)\nColony (unitless)\nNewBranches (unitless)\nOldBranches (unitless)\nPerCapitaRatio (unitless)\nNumberofMotherBranches (unitless)\nMotherBranch (unitless)\nNewDaughterBranches (unitless)\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_872486_v2/index.htmlTable https://www.bco-dmo.org/dataset/872486 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_872486_v2.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_872486_v2&showErrors=false&email= BCO-DMO bcodmo_dataset_872486_v2
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_872600_v2 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_872600_v2.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_872600_v2/ public [Coral clipping experiment - growth] - Branch extension measurements from a clipping experiment conducted on the coral Antillogorgia elisabethae at two sites in the Bahamas determined from June 1999 to June 2000 (Collaborative Research: Pattern and process in the abundance and recruitment of Caribbean octocorals) This dataset results from an experiment in which colonies of the coral Antillogorgia elisabethae were clipped to simulate harvesting/disturbance at 2 sites in the Bahamas, one at Great Abaco and another at San Salvador Island. This dataset includes branch extension measurements for colonies that were clipped to 10 or 4 branches or not clipped. Version 2 of this dataset, created on 2023-11-07, includes a correction to the latitude of the Abaco site.\n\ncdm_data_type = Other\nVARIABLES:\nLocation (unitless)\nLatitude (degrees_north)\nlongitude (degrees_east)\nColony (unitless)\nTreatment (unitless)\nSiteTreat (unitless)\nBranch_Number (unitless)\nGrowth_cm (centimeters (cm))\nJun_99 (centimeters (cm))\nJul_00 (centimeters (cm))\nBranchType (unitless)\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_872600_v2/index.htmlTable https://www.bco-dmo.org/dataset/872600 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_872600_v2.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_872600_v2&showErrors=false&email= BCO-DMO bcodmo_dataset_872600_v2
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_897544_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_897544_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_897544_v1/ public [Coral cover from 1992-2019 in support of Edmunds and Perry (2023) MEPS] - Coral cover at six sites on the south coast of St. John, USVI from 1992 to 2019 (LTREB Long-term coral reef community dynamics in St. John, USVI: 1987-2019) These data describe the percentage coral cover from 1992 to 2019 at the size study sites between Cabritte Horn and White Point using photoqudrats  as statistical replicates. The data support Fig. 3C in Edmunds and Perry (2023) and provide context to the study of changes in coral colony size, density, and G over time.\n\ncdm_data_type = Other\nVARIABLES:\nSite (unitless)\nYear (unitless)\nQuadrat (unitless)\nCoral_percent_cover (percent (%))\nlat (decimal degrees)\nlon (decimal degrees)\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_897544_v1/index.htmlTable https://www.bco-dmo.org/dataset/897544 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_897544_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_897544_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_897544_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_897544_v2 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_897544_v2.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_897544_v2/ public [Coral cover from 1992-2019 in support of Edmunds and Perry (2023) MEPS] - Coral cover at six sites on the south coast of St. John, USVI from 1992 to 2019 (LTREB Long-term coral reef community dynamics in St. John, USVI: 1987-2019) These data describe the percentage coral cover from 1992 to 2019 at the size study sites between Cabritte Horn and White Point using photoqudrats  as statistical replicates. The data support Fig. 3C in Edmunds and Perry (2023) and provide context to the study of changes in coral colony size, density, and G over time.\n\ncdm_data_type = Other\nVARIABLES:\nSite (unitless)\nYear (unitless)\nQuadrat (unitless)\nCoral_percent_cover (percent (%))\nlat (decimal degrees)\nlon (decimal degrees)\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_897544_v2/index.htmlTable https://www.bco-dmo.org/dataset/897544 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_897544_v2.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_897544_v2&showErrors=false&email= BCO-DMO bcodmo_dataset_897544_v2
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_933832_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_933832_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_933832_v1/ public [Coral lesion frequencies and sizes after fish feces treatment] - Lesion frequencies and sizes after fish feces treatment on coral samples collected on the north shore of Mo’orea, French Polynesia, Oct 2020 to Jun 2021 (CAREER: Testing the effects of predator-derived feces on host symbiont acquisition and health) This datafile contains frequencies and sizes (number of polyps killed) developed in coral tissues after the application and removal of fish feces to test whether fish from different guilds affect coral health in distinct ways.There were five treatments: fresh feces from a corallivorous butterflyfish (FC); fresh feces from a grazer/detritivore (FG); sterilized feces from a corallivorous butterflyfish (SC); sterilized feces from a grazer/detritivore (SG); no-feces control (C). For the fresh feces treatments (FC, FG), we applied 100 µl of fresh feces isolated from the hindgut of the butterflyfish Chaetodon ornatissimus (FC) or the grazer/detritivore Ctenochaetus striatus (FG) directly onto each coral fragment. For the sterilized feces treatments (SC, SG), fecal pellets were sterilized in a pressure cooker for 40 minutes at 120°C and then applied in the same manner as fresh feces. The experiment ran for ~22 hours. The experiment was conducted in three iterations in Mo'orea, French Polynesia, over two years (2020, 2021).\n\ncdm_data_type = Other\nVARIABLES:\nSample_ID (unitless)\nCollection_Date (unitless)\nExperiment (unitless)\nTreatment (unitless)\nColony (unitless)\nReplicate (unitless)\nHealth (unitless)\nDead_Polyps (unitless)\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_933832_v1/index.htmlTable https://www.bco-dmo.org/dataset/933832 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_933832_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_933832_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_933832_v1
log in [Coral physiological measurements] - Montipora capitata and Porites compressa Physiological Measurements for Experimental Corals and Parent Colonies from 2014-2015 (RAPID Hawaii project) (Will corals recover from bleaching under ocean acidification conditions?) Physiological data for Montipora capitata and Porites compressa: endosymbiont cell density (cells cm-2), Contribution of Total Carbon to Animal Respiration (CTAR, %), calcification (mg day-1 cm-2), biomass (g cm-2), total lipids (J gdw-1), photosynthesis and respiration (µmol hr-1 cm-2), Contribution of Zooxanthellae (Symbiodiniaceae) to Animal Respiration (CZAR, %), feeding rate (brine shrimp hr-1 cm-2), and Contribution of Heterotrophy to Animal Respiration (CHAR, %). Measurements for experimental corals were taken from one of three time points (November 2015, June 2014, or December 2015).\n\ncdm_data_type = Other\nVARIABLES:\nSpecies (unitless)\nCollection_site (unitless)\nlatitude (Latitude_decimal_degrees, degrees_north)\nlongitude (Longitude_decimal_degrees, degrees_east)\nLat (degrees_north)\nLong (degrees_east)\nColony (unitless)\nSample_ID (unitless)\nHealth_status (unitless)\npH (unitless)\nFeeding_status (unitless)\nTreatment (unitless)\nTank (unitless)\nTime_point (unitless)\nEndo_density (cells cm-2)\nCalc (mg day-1 cm-2)\nTotal_biomass (g cm-2)\nTotal_lipids (J gdw-1)\nGross_P (umol O2 min-1 cm-2)\nLEDR (unitless)\nCZAR (unitless)\nFR (Brine shrimp hr-1 cm-2)\nCHAR (unitless)\nCTAR (unitless)\n BCO-DMO bcodmo_dataset_914498_v1
log in [Coral reef benthic composition in SGD] - Impacts of submarine groundwater discharge on benthic community composition and functional diversity on coral reefs in Mo'orea, French Polynesia from Aug 2021 to Jun 2022 (RUI: Collaborative Research: Defining the biogeochemical context and ecological impacts of submarine groundwater discharge on coral reefs) Coral reefs experience numerous natural and anthropogenic environmental gradients that alter biophysical conditions and affect biodiversity. While many studies have focused on drivers of reef biodiversity using traditional diversity metrics (e.g., species richness, diversity, evenness), less is known about how environmental variability may influence functional diversity. In this study, we tested the impact of submarine groundwater discharge (SGD) on taxonomic and functional diversity metrics in Mo'orea, French Polynesia. SGD is the expulsion of terrestrial fresh or recirculated seawater into marine environments and is associated with reduced temperatures, pH, and salinity and elevated nutrient levels. Using a regression approach along the SGD gradient, we found that taxon and functional-entity richness displayed unimodal relationships to SGD parameters, primarily nitrate + nitrite and phosphate variability, with peak richness at moderate SGD for stony coral and the full benthic community. Macroalgae showed this unimodal pattern for functional-entity but not taxonomic richness. Functional community composition (presence and abundance of functional entities) increased along the gradient, while taxonomic composition showed a nonlinear relationship to SGD-related parameters. SGD is a common feature of many coastal ecosystems globally and therefore may be more important to structuring benthic functional diversity than previously thought. Further, studying community shifts through a functional-trait lens may provide important insights into the roles of community functions on ecosystem processes and stability, leading to improved management strategies. This dataset includes site identifiers and survey metadata, substrate composition, structural complexity (rugosity), seawater parameters (salinity, temperature, pH, nutrients), taxonomic and functional traits of benthic taxa (morphology, calcification strategy, trophic group), proportional cover of benthic taxa, and community-level diversity metrics.\n\ncdm_data_type = Other\nVARIABLES:\nCowTagID (unitless)\nDate (unitless)\nTaxa (unitless)\npcover (percent)\nTaxon_Group (unitless)\nMorph2 (unitless)\n... (32 more variables)\n BCO-DMO bcodmo_dataset_964240_v1
log in [Coral Reef Fish Abundance] - Coral Reef Fish Abundance from waters near U.S. Virgin Islands, British Virgin Islands, and Puerto Rico from May 2015 to Aug 2016 (Beyond Cleaning and Symbiosis: Ecology of 'Ticks of the Sea' on Coral Reefs) This dataset includes the abundance of diurnal and nocturnal fishes in areas where gnathiid isopods were collected using lighted plankton traps. Point and belt transect surveys were conducted between April and September of 2015 and 2016 from study sites surrounding the U.S. Virgin Islands, British Virgin Islands, and Puerto Rico. These data were used to examine the relationship among fish assemblages, gnathiid abundance, and host exploitation. To fully understand the role of gnathiid isopods in coral reef community processes, it is essential to know what fishes commonly reside in close proximity to gnathiids.\n\ncdm_data_type = Other\nVARIABLES:\nIsland (unitless)\nPlot (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\nDateSet (unitless)\nLeftSideDist (meters)\nRightSideDist (meters)\nDay_Acanthuridae_Acanthurus_bahianus (unitless)\nDay_Acanthuridae_Acanthurus_chirurgus (unitless)\nDay_Acanthuridae_Acanthurus_coeruleus (unitless)\nDay_Acanthuridae_Acanthurus_sp (unitless)\nDay_Acanthuridae_Acanthurus_tractus (unitless)\nDay_Apogonidae_Apogon_binotatus (unitless)\nDay_Apogonidae_Apogon_sp (unitless)\nDay_Apogonidae_Apogon_townsendi (unitless)\nDay_Apogonidae_Unknown_sp (unitless)\nDay_Aulostomidae_Aulostomus_maculatus (unitless)\nDay_Blennidae_Hypleurochilus_geminatus (unitless)\nDay_Blennidae_Unknown_sp (unitless)\nDay_Blenniidae_Ophioblennius_atlanticus (unitless)\nDay_Blenniidae_Ophioblennius_macclurei (unitless)\n... (261 more variables)\n BCO-DMO bcodmo_dataset_887944_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_927890_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_927890_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_927890_v1/ public [Coral trait variation] - Growth and chlorophyll density of individual fragments of the coral Porites divaricata measured during a reciprocal transplant experiment conducted at three sites in Turneffe Atoll, Belize from February to July 2022 (OCE-PRF: Drivers of phenotypic diversity and adaptation in asexually propagating coral populations) We sought to investigate the role of genetic, intra-clonal, and environmental variation in driving variation in fitness-related traits in the Caribbean thin finger coral, Porites divaricata (Taxonomy ID: 262287). We conducted a reciprocal transplant experiment whereby fragments from individual coral colonies of known genetic background were transplanted to three sites from February to July 2022. These sites included two mangrove sites and one reef site at Calabash Caye, Turneffe Atoll, Belize. Prior to and post-transplanting, fragments were measured to determine growth rate over this time. Coral fragments were also photographed to determine red channel intensity, which serves as a proxy for chlorophyll density. \n\nThis dataset contains the measures of these two coral traits (coral fragment growth and chlorophyll density (red channel intensity)) for each coral individual and also contains metadata about the genotype, origin site, transplanted site, rope at transplanted site, and age. \n\nA related dataset contains environmental information about each transplanted site over this time period, based on loggers that recorded temperature and light levels. Data were collected by scientists at the University of Texas at Austin and the University of Belize.\n\ncdm_data_type = Other\nVARIABLES:\nsample (unitless)\norigin (unitless)\nclone (unitless)\nsubclone (unitless)\nlongitude (Sublcone_longitude, degrees_east)\nsubclone_latitude (degrees_north)\ntrans_site (unitless)\nrope (unitless)\nloc_grtn (unitless)\nage2 (years)\ngrtn (unitless)\nloc (unitless)\n... (6 more variables)\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_927890_v1/index.htmlTable https://www.bco-dmo.org/dataset/927890 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_927890_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_927890_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_927890_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_927918_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_927918_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_927918_v1/ public [Coral transplant site environmental data] - Temperature and light intensity measured at each transplant site during a reciprocal transplant experiment conducted at three sites in Turneffe Atoll, Belize from February to July 2022 (OCE-PRF: Drivers of phenotypic diversity and adaptation in asexually propagating coral populations) We sought to investigate the role of genetic, intra-clonal, and environmental variation in driving variation in fitness-related traits in the Caribbean thin finger coral, Porites divaricata (Taxonomy ID: 262287). We conducted a reciprocal transplant experiment whereby fragments from individual coral colonies of known genetic background were transplanted to three sites from February to July 2022. These sites included two mangrove sites and one reef site at Calabash Caye, Turneffe Atoll, Belize. Prior to and post-transplanting, fragments were measured to determine growth rate over this time. Coral fragments were also photographed to determine red channel intensity, which serves as a proxy for chlorophyll density. \n\nThis dataset contains environmental information about each transplanted site over this time period, based on loggers that recorded temperature and light levels. This data was collected by scientists at the University of Texas at Austin and the University of Belize.\n\nA related dataset contains the measures of these two coral traits (coral fragment growth and chlorophyll density (red channel intensity)) for each coral individual and also contains metadata about the genotype, origin site, transplanted site, rope at transplanted site, and age.\n\ncdm_data_type = Other\nVARIABLES:\nLogger (unitless)\nSite (unitless)\nISO_DateTime_Local (unitless)\ntime (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\nTemp (degrees Celsius)\nLight (photosynthetic photon flux density (PPFD))\nSite_Lat (degrees_north)\nlongitude (Site_lon, degrees_east)\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_927918_v1/index.htmlTable https://www.bco-dmo.org/dataset/927918 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_927918_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_927918_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_927918_v1
log in [Coral Transplant Survival Data] -  (NSF-BSF: Assessing the mechanisms of molecular and morphological adaptation by corals to extreme environments) In November 2022, colonies of the coral Porites astreoides were collected from two sites off Little Cayman, Cayman Islands, at two depths: shallow (10 m) and mesophotic (45 m). Each colony was bisected, and a cross-depth transplantation experiment was conducted in which one half of each colony was returned to its native depth, while the other half was transplanted to the alternate depth. At each site, light (PME miniPAR) and temperature (HOBO ProV) loggers were deployed to monitor environmental conditions. After a 9-month period, all fragments were recovered and evaluated for survival and overall health status. This dataset represents the survival data for all colonies that were cross-transplanted, providing insight into the adaptive capabilities of corals to differing environmental conditions.\n\ncdm_data_type = Other\nVARIABLES:\nTreatment (unitless)\nSite (unitless)\nID (unitless)\nStatus (unitless)\n BCO-DMO bcodmo_dataset_964597_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_997105_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_997105_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_997105_v1/ public [Corals on ship and plane wrecks] - Community composition of benthic invertebrates on underwater cultural heritage and coral reefs from Palau aquired May to November 2022 (Collaborative Research: How do selection, plasticity, and dispersal interact to determine coral success in warmer and more variable environments?) Ships, planes, and other vessels that come to rest on the seafloor introduce metals to the marine environment. Underwater cultural heritage (UCH) sites become important habitats for sessile invertebrates, but the materials they are made from can impact the composition of species living on them. We collected and analyzed images from three sites in Palau (two shipwrecks and one plane wreck from WWII) along with directly adjacent (1 – 5 m away) naturally-occurring coral reefs. We collected images of the sessile invertebrate fauna at each site using a Nikon D850 camera with a wide-angle lens, a GoPro Hero 7 with a wide-angle lens, and two Olympus TG-6 cameras. Wide-angle photography was used to record adult corals or other sessile invertebrates (≤ 5 cm diameter) in quadrats (0.34 ± 0.01 m2, mean ± SE). Olympus cameras were used for macro photography of young coral recruits (< 5 cm diameter), with each recruit being photographed individually to enable identification. Images were used to visually identify and count sessile invertebrates living on each wreck and the adjacent coral reefs. Coral species were identified to the genus level by comparison to published guides. Other sessile invertebrate species were identified to broad taxonomic categories (e.g., wire coral, sponge, tube worm).\n\ncdm_data_type = Other\nVARIABLES:\nPhoto_Name (unitless)\nDate (unitless)\nSite (unitless)\nlatitude (degrees_north)\nlongitude (Long, degrees_east)\nCategory (unitless)\nTransect (unitless)\ndepth (Depth_m, m)\nAcanthastrea (unitless)\nAcropora (unitless)\nCantharellus (unitless)\nCoelastrea (unitless)\nCtenactis (unitless)\nCycloseris (unitless)\n... (44 more variables)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_997105_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_997105_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_997105_v1/index.htmlTable https://osprey.bco-dmo.org/dataset/997105 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_997105_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_997105_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_997105_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_998311_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_998311_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_998311_v1/ public [Counts of Rhizopsammia] - Counts of Rhizopsammia corals from islands throughout the Galapagos Islands between July and August 2024 (RAPID: Effects of the 2023-24 El Nino on Fish Disease and Population Dynamics in the Galapagos Islands) This dataset presents counts of Rhizopsammia corals from still frame quadrats taken from video transects carried in-situ by divers. Frame grabs were taken haphazardly from video transects and assessed for total area, number of Rhizopsammi corals observed, and whether corals were single individuals or multi-polyp colonies. These data were collected in the Galapagos Islands between July and August 2024.\n\ncdm_data_type = Other\nVARIABLES:\nSite (unitless)\nEasting (Meters)\nlongitude (Longitude_dd, degrees_east)\nLongitude_DMS (degrees, minutes, seconds)\nNorthing (Meters)\nlatitude (Latitude_dd, degrees_north)\nLatitude_DMS (degrees, minutes, seconds)\nDate (unitless)\nVideo_ID (unitless)\ndepth (Depth_m, m)\nQuadrat (unitless)\nquad_area (Square meters)\nTime_vid (Minutes)\nTotal (unitless)\nColonies (unitless)\nPolyps (unitless)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_998311_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_998311_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_998311_v1/index.htmlTable https://osprey.bco-dmo.org/dataset/998311 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_998311_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_998311_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_998311_v1
log in [COVID Galapagos Megafauna Sizes] - Body size measurements of megafauna species at 6 sites after the 2020 COVID lockdown in the Galapagos Islands from 2020-2021 (Galapagos diver disturbance project) (RAPID: Illuminating the effects of a COVID-19 elimination of diver disturbance on reef fish behavior, distribution and ecosystem functioning in the Galapagos Marine Reserve) The effect of changing levels of scuba diver disturbance, from a low during the 2020 COVID 19 lockdown to normal levels nearly a year later (July - August 2021) on the body sizes of  6 species of marine megafauna (sharks, sea lions and rays) was sampled to test the hypothesis the megafauna community would differ between the lockdown and post-lock down period 1 year later.  These data are from the period after the COVID 19 lockdown in July-August 2021. \n\nThe presence and size of the megafauna was recorded by extended duration video cameras that recorded from a fixed position at 12-15 m depth at each of the 6 sites. These were GoPro7 cameras in an aluminum housing with a battery pack to enable 6-8 hrs of continuous video recording. All megafauna species seen within 5 meters distance from the camera were identified to species. Total body lengths of megafauna were estimated within 5 cm increments by comparing them to known size indicators in the videos.  \n\nThese data were collected by Drs Robert Lamb, Jon Witman and Franz Smith. Rebecca Ward-Diorio worked up the data from the GoPro files.  The GoPro file names are provided for reference. Day trips to support scuba based research on board the MV Valeska, a 14 m long fiberglass boat. Various trips between October 1, 2020 to August 31, 2021, with Jon Witman as Chief Scientist\n\ncdm_data_type = Other\nVARIABLES:\nSite (unitless)\nSite_Latitude (degrees_north)\nlongitude (Site_longitude, degrees_east)\nDate (unitless)\nGoPro_Video_File_name (unitless)\nSpecies_Code (unitless)\nTotal_body_length (cm)\n BCO-DMO bcodmo_dataset_913952_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_765141_v5 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_765141_v5.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_765141_v5/ public [CPR plankton abundance in the WN Atlantic 1958-2021] - Continous Plankton Recorder phytoplankton and zooplankton occurrence and count data from The CPR Survey in the Western North Atlantic Ocean from 1958 to 2021 (The Continuous Plankton Recorder (CPR) Survey: Monitoring the Plankton of the North Atlantic) This dataset includes Continous Plankton Recorder (CPR) phytoplankton and zooplankton abundance (occurrence and count) data from the Marine Biological Association of the UK, the CPR Survey, in the Western North Atlantic Ocean from 1958-2021 inclusive.\n\ncdm_data_type = Other\nVARIABLES:\nSampleId (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\ntime (Midpoint_date_utc, seconds since 1970-01-01T00:00:00Z)\nYear (year)\nMonth (month)\nDay (day)\nHour (hour)\nid_40 (individuals per 3 cubic meter sample)\nid_41 (individuals per 3 cubic meter sample)\nid_42 (individuals per 3 cubic meter sample)\nid_43 (individuals per 3 cubic meter sample)\nid_44 (individuals per 3 cubic meter sample)\nid_45 (individuals per 3 cubic meter sample)\nid_47 (individuals per 3 cubic meter sample)\nid_48 (individuals per 3 cubic meter sample)\nid_50 (individuals per 3 cubic meter sample)\nid_51 (individuals per 3 cubic meter sample)\nid_53 (individuals per 3 cubic meter sample)\nid_55 (individuals per 3 cubic meter sample)\nid_56 (individuals per 3 cubic meter sample)\nid_57 (individuals per 3 cubic meter sample)\nid_58 (individuals per 3 cubic meter sample)\nid_59 (individuals per 3 cubic meter sample)\nid_60 (individuals per 3 cubic meter sample)\n... (397 more variables)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_765141_v5_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_765141_v5_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_765141_v5/index.htmlTable https://www.bco-dmo.org/dataset/765141 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_765141_v5.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_765141_v5&showErrors=false&email= BCO-DMO bcodmo_dataset_765141_v5
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_765141_v6 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_765141_v6.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_765141_v6/ public [CPR plankton abundance in the WN Atlantic 1958-2022] - Continuous Plankton Recorder phytoplankton and zooplankton occurrence and count data from The CPR Survey in the Western North Atlantic Ocean from 1958 to 2022 (The Continuous Plankton Recorder (CPR) Survey: Monitoring the Plankton of the North Atlantic) This dataset includes Continuous Plankton Recorder (CPR) phytoplankton and zooplankton abundance (occurrence and count) data from the Marine Biological Association of the UK, the CPR Survey, in the Western North Atlantic Ocean from 1958-2022 inclusive.\n\ncdm_data_type = Other\nVARIABLES:\nSampleId (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\ntime (Midpoint_date_utc, seconds since 1970-01-01T00:00:00Z)\nYear (year)\nMonth (month)\nDay (day)\nHour (hour)\nid_40 (individuals per 3 cubic meter sample)\nid_41 (individuals per 3 cubic meter sample)\nid_42 (individuals per 3 cubic meter sample)\nid_43 (individuals per 3 cubic meter sample)\nid_44 (individuals per 3 cubic meter sample)\nid_45 (individuals per 3 cubic meter sample)\nid_47 (individuals per 3 cubic meter sample)\nid_48 (individuals per 3 cubic meter sample)\nid_50 (individuals per 3 cubic meter sample)\nid_51 (individuals per 3 cubic meter sample)\nid_53 (individuals per 3 cubic meter sample)\nid_55 (individuals per 3 cubic meter sample)\nid_56 (individuals per 3 cubic meter sample)\nid_57 (individuals per 3 cubic meter sample)\nid_58 (individuals per 3 cubic meter sample)\nid_59 (individuals per 3 cubic meter sample)\nid_60 (individuals per 3 cubic meter sample)\n... (396 more variables)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_765141_v6_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_765141_v6_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_765141_v6/index.htmlTable https://osprey.bco-dmo.org/dataset/765141 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_765141_v6.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_765141_v6&showErrors=false&email= BCO-DMO bcodmo_dataset_765141_v6
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_925569_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_925569_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_925569_v1/ public [Cr concentration and isotope data using dissolved Cr and different Cr species from RR1805] - Chromium (Cr) concentration and isotope data determined using dissolved Cr and different Cr species from samples collected on R/V Roger Revelle cruise RR1805 in April-May 2018 (Cr Isotope Oceanography of the Eastern Tropical North Pacific Ocean) Changes in chromium (Cr) isotope ratios due to fractionation between trivalent (Cr(III)) and hexavalent (Cr(VI)) are being utilized by geologists to infer oxygen conditions in past environments. But there is little information available on Cr in the modern ocean to ground-truth these inferences. Transformations between the two chromium redox species are important processes in oceanic Cr cycling. Here we present profiles of hexavalent and trivalent Cr concentrations and stable isotope ratios from the Eastern Tropical North Pacific (ETNP) oxygen deficient zone (ODZ) which support theoretical and experimental studies that predict that lighter Cr is preferentially reduced in low oxygen environments, and that residual dissolved Cr becomes heavier due to removal of particle-reactive Cr(III) on sinking particles. The Cr(III) maximum dominantly occurs in the upper portion of the ODZ, implying that microbial activity (dependent on the sinking flux of organic matter) may be the dominant mechanism for this transformation, rather than a simple inorganic chemical conversion between the species depending on the redox potential.\n\ncdm_data_type = Other\nVARIABLES:\nCruise (unitless)\nStation (unitless)\nLatitude (degrees_north)\nlongitude (degrees_east)\ndepth (m)\nTotal_dissolved_Cr (nanomoles per kilogram (nmol/kg))\nTotal_dissolved_d53Cr (permil (‰))\nCrIII (nanomoles per kilogram (nmol/kg))\nd53CrIII (permil (‰))\nCrIII_pcnt_of_total (percent (%))\nCalculated_CrVI (nanomoles per kilogram (nmol/kg))\nCalculated_d53CrVI (permil (‰))\nMeasured_CrVI (nanomoles per kilogram (nmol/kg))\nMeasured_d53Cr (permil (‰))\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_925569_v1/index.htmlTable https://www.bco-dmo.org/dataset/925569 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_925569_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_925569_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_925569_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_925782_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_925782_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_925782_v1/ public [Cr concentration and isotopic composition of Cr(III) and Cr(VI) in the ETNP from RR1804-05 and KM1919-20] - Chromium concentration and isotopic composition of Cr(III) and Cr(VI) in the Eastern Tropical North Pacific from samples collected on R/V Roger Revelle and R/V Kilo Moana in April-May 2018 and Sept-Oct 2019 (Cr Isotope Oceanography of the Eastern Tropical North Pacific Ocean) Understanding the cycling of chromium (Cr) and how chromium stable isotopes (δ53Cr) are altered in response to different processes in the modern ocean is important in our interpretation of marine sedimentary δ53Cr records, a promising redox proxy. Therefore, it is crucial to investigate the geochemical processes of Cr in reducing environments such as oxygen deficient zones (ODZs). In this study, we investigated the cycling of Cr in the Eastern Tropical North Pacific (ETNP) ODZ by analyzing the [Cr] and δ53Cr of total dissolved Cr and Cr(III). Our Cr(III) data at two inshore stations shows profile features and Cr reduction isotopic fractionation factor (-1.5‰) similar to an offshore station in a previous study. We also observed significant Cr scavenging signals in the upper 1000 meters (m) throughout the ODZ with an inshore-offshore variability in its magnitude. Specifically, anoxic bottom waters on the continental slope see the greatest Cr scavenging with heaviest δ53Cr (+1.85‰). Our estimates of the scavenged Cr isotopic composition are within error of the anoxic and euxinic marine sedimentary δ53Cr. This implies that the vertical transport of Cr to the seafloor and subsequent diagenesis may not generate significant isotopic fractionation for Cr. This is the first thorough investigation into the Cr cycling in the ETNP ODZ and demonstrated promising usage of marine sedimentary δ53Cr as a redox proxy for ancient oceans.\n\nIn the ODZ, oxygen is consumed by degrading sinking particles and reaches extremely low levels (too low to support aerobic life) from 100m to 800m depth. However, microbes that can use other oxidants such as nitrate to metabolize organic carbon live there, and we showed that they also convert soluble anionic chromate Cr(VI) to cationic Cr(III), about half of which is scavenged onto sinking particles and removed to the seafloor. This reduction is accompanied by preferential reduction of light Cr isotopes, so the Cr(III) is 1.3‰ lighter than the source Cr(VI). The removal of part of this light Cr(III) by scavenging leaves the residual total Cr heavier than the source Cr. The analyzed samples listed here were chosen to be from the center and margins of the ETNP ODZ and over extremely reducing continental margin sediments.\n\ncdm_data_type = Other\nVARIABLES:\nCruise (unitless)\nStation (unitless)\nLatitude (degrees_north)\n... (9 more variables)\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_925782_v1/index.htmlTable https://www.bco-dmo.org/dataset/925782 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_925782_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_925782_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_925782_v1
log in [Cruise optical properties: Absorbance] - Absorbance spectra from niskin bottle samples collected with depth profiles during R/V Hugh R. Sharp cruise HRS1608 Mid-Atlantic Bight in 2016 (Collaborative Research: Phlorotannins - An Important Source of Marine Chromophoric Dissolved Organic Matter?) Absorbance spectra from niskin bottle samples collected with depth profiles during R/V Hugh R. Sharp cruise HRS1608 Mid-Atlantic Bight in 2016.\n\ncdm_data_type = Other\nVARIABLES:\ndate (unitless)\ntime_unitless (Time, unitless)\ntime (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\nlatitude (degrees_north)\nlongitude (Long, degrees_east)\nSalinity (unitless)\ndepth (Depth_sample, m)\ndepth_sample_comment (unitless)\nfile_name (unitless)\nE2_to_E3 (unitless)\nE2_to_E3_flag (unitless)\nS275_to_295 (1/nm)\nS275_to_295_flag (unitless)\nS350_to_400 (1/nm)\nS350_to_400_flag (unitless)\nS_R (unitless)\nS_R_flag (unitless)\n BCO-DMO bcodmo_dataset_938783_v1
log in [Cruise optical properties: Fluorescence] - Fluorescence spectra from niskin bottle samples collected with depth profiles during R/V Hugh R. Sharp cruise HRS1608 Mid-Atlantic Bight in 2016 (Collaborative Research: Phlorotannins - An Important Source of Marine Chromophoric Dissolved Organic Matter?) Fluorescence spectra from niskin bottle samples collected with depth profiles during R/V Hugh R. Sharp cruise HRS1608 Mid-Atlantic Bight in 2016.\n\ncdm_data_type = Other\nVARIABLES:\ndate (unitless)\ntime_unitless (Time, unitless)\ntime (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\nlatitude (degrees_north)\nlongitude (Long, degrees_east)\nSalinity (unitless)\ndepth (Depth_sample, m)\ndepth_sample_comment (unitless)\nfile_name (unitless)\nApeak (QSU)\nApeak_ex_wave (nm)\nApeak_em_wave (nm)\nCpeak (QSU)\nCpeak_ex_wave (nm)\nCpeak_em_wave (nm)\nFI (unitless)\nBIX (unitless)\nnHIX (unitless)\n BCO-DMO bcodmo_dataset_938774_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_965250_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_965250_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_965250_v1/ public [Cryptic CH4 Cycling] - Biogeochemical data on cryptic methane cycling in hypersaline sediments of the Carpinteria Salt Marsh Reserve, California from sampling in 2019 (Deciphering the Cryptic Cycling of Methane in Sediments of a Coastal Wetland) Methylotrophic methanogenesis occurring within sulfate-rich zones of coastal and marine sediments is functionally linked to anaerobic methane oxidation (AOM), together constituting a cryptic methane cycle. This investigation presents data on such cryptic methane cycling across a land-to-sea transect comprising four sampling sites within the Carpinteria Salt Marsh Reserve (CSMR) in southern California, USA: two brackish, one marine, and one hypersaline. Surface sediments (upper 20 cm) were examined using geochemical profiling and radiotracer incubation experiments employing 35S-labeled sulfate, 14C-labeled monomethylamine, and 14C-labeled methane.\n \nMethane concentrations in sediment porewater were generally low (3–28 µM) across all sites, except at the marine station, where levels increased with depth, reaching up to 665 µM. Methane production from monomethylamine was detected throughout the depth profiles at all stations, with estimated rates ranging from sub-nanomolar to nanomolar per cubic centimeter of sediment per day. AOM, quantified via 14C-CH₄ tracer, co-occurred with methylotrophic methanogenesis at each station, exhibiting activity levels between 0.03 and 19.4 nmol cm⁻³ d⁻¹.\n \nPorewater chemistry revealed elevated concentrations of sulfate and dissolved iron across all sites. Sulfate levels (9–91 mM) remained sufficiently high to support sulfate reduction, which showed activity levels from 1.5 to 2,506 nmol cm⁻³ d⁻¹. Vertical profiles of sulfide and Fe(II) suggested a geochemical shift along the transect—from iron-dominated reduction at the brackish stations to sulfate-dominated reduction at the marine and hypersaline stations. AOM activity overlapped with zones of sulfate reduction and Fe(II) enrichment, indicating that methane oxidation may be coupled to both sulfate and iron reduction across all sampling locations.\n\ncdm_data_type = Other\nVARIABLES:\nDate (unitless)\nTime_Local_PST (unitless)\nTime_UTC (unitless)\ntime (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\nSite_Name (unitless)\nlatitude (degrees_north)\n... (16 more variables)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_965250_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_965250_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_965250_v1/index.htmlTable https://osprey.bco-dmo.org/dataset/965250 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_965250_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_965250_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_965250_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_996942_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_996942_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_996942_v1/ public [Cryptic Porites lineage genomic and microbiome data] - Host genome and microbiome sequencing data for Porites cryptic lineages in classic and extreme reefs in Palau in November 2021 (Collaborative Research: How do selection, plasticity, and dispersal interact to determine coral success in warmer and more variable environments?) This dataset contains host genomic and associated microbiome sequence data generated to investigate patterns of cryptic lineage structure, symbiotic diversity, and microbial community composition in reef-building corals (Porites spp.) across environmental gradients. Samples were collected from three classic (typical temperatures) and three extreme (higher temperatures and light attenuation) reef sites in Palau, and processed using high-throughput sequencing approaches to characterize (1) host population genomic variation and (2) taxonomic  diversity of coral-associated microbial communities (Symbiodiniaceae and bacteria). Host genomic data were generated using a 2bRAD approach and analyzed to resolve lineage differentiation. Microbiome communities were characterized through amplicon sequencing, enabling assessment of microbial assemblages associated with distinct host lineages and environmental conditions.\n\ncdm_data_type = Other\nVARIABLES:\nLibrary_Name (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\nDate (unitless)\nStudy_Accession (unitless)\nHost_genetic_dataset_accession (unitless)\nExperiment_Accession (unitless)\nLibrary_accession_2BRAD (unitless)\nMicrobial_community_data_accession (unitless)\nITS2_library_biosample (unitless)\nITS2_Forward (unitless)\nITS2_Reverse (unitless)\nLibrary_biosample_16S (unitless)\nForward_16S (unitless)\nReverse_16S (unitless)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_996942_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_996942_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_996942_v1/index.htmlTable https://osprey.bco-dmo.org/dataset/996942 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_996942_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_996942_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_996942_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_982454_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_982454_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_982454_v1/ public [CSIA of gelatinous zooplankton] -  (Resolving vertical trophic linkages between surface and deep pelagic food webs) We estimated the trophic positions of abundant gelatinous zooplankton (chaetognaths, cnidarians, ctenophores, molluscs, and pelagic tunicates) in the southern California Current Ecosystem using stable carbon and nitrogen isotope analysis. Gelatinous zooplankton were collected on four research cruises on the R/V Sally Ride and R/V Roger Revelle between 2020 and 2023 and from 0 to 3,000 m depth using a 10 m2 Multiple Opening/Closing Net and Environmental Sensing System (MOCNESS). 561 samples of gelatinous zooplankton from 13 taxonomic groups were chosen for bulk tissue stable isotope analysis. An additional twenty samples from seven gelatinous genera were chosen for nitrogen compound-specific isotope analysis of amino acids because they were abundant across our region and represented a range of hypothesized feeding guilds and depth habitats (0 – 1,025 m). Gelatinous zooplankton were briefly thawed to remove visible gut contents using forceps and a scalpel. Samples were then lyophilized and homogenized. To ensure sufficient sample mass for stable isotope analysis, samples often contained multiple individuals from the same net, taxonomic group, and size class. The number of individuals per sample was typically fewer than 100, with a larger number of individuals pooled for some samples of Pantachogon spp. and Hormiphora spp. Samples were processed for nitrogen compound-specific isotope analysis at the Laboratory for Marine Organic Isotope Geochemistry at the University of Miami. This dataset includes the nitrogen compound-specific isotope values of amino acids for each gelatinous zooplankton sample and the sample's estimated trophic position.\n\ncdm_data_type = Other\nVARIABLES:\nspecimen_number (unitless)\nbest_taxonomic_ID (unitless)\ntow (unitless)\nnet (unitless)\nDate_UTC (unitless)\nyear (unitless)\nmonth (unitless)\nday (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\n... (33 more variables)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_982454_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_982454_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_982454_v1/index.htmlTable https://osprey.bco-dmo.org/dataset/982454 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_982454_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_982454_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_982454_v1
log in [CTD 2017] - CTD data from station N-1200 collected in August 2017 from a cruise aboard R/V Mediterranean Explorer (Microbial ecosystems in silico, in the lab and in the field: understanding interactions between abundant marine bacterial taxa) This dataset contains CTD (Conductivity, Temperature, Depth) from a cruise to station N-1200 to study the photic zone in the Eastern Mediterranean at high depth resolution. Data were collected on August 7, 2017 from the R/V Mediterranean Explorer.\n\ncdm_data_type = Other\nVARIABLES:\ndepth (Binned_depth, m)\nMean_Temp (degrees Celsius)\nMean_Sal (PSU)\nMean_FISP (AU (Seapoint))\nMean_PAR (MicroEinsteins)\nMean_Oxygen (percent)\nlatitude (degrees_north)\nlongitude (degrees_east)\nDate (unitless)\n BCO-DMO bcodmo_dataset_874728_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_967649_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_967649_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_967649_v1/ public [CTD and in situ Sonde Lake Superior and Lake Erie 2021-2024] - CTD and in situ Sonde field data collected on Lake Superior and Lake Erie aboard the R/V Blue Heron and R/V Gibraltar III from May 2021 to May 2024 (Collaborative Research: Cyanobacteria, Nitrogen Cycling, and Export Production in the Laurentian Great Lakes) This dataset includes the CTD and Sonde data from 11 cruises on Lake Superior aboard the University of Minnesota Duluth R/V Blue Heron from May 2021 to May 2024 (May, July, August, and October), as well as 11 cruises on Lake Erie (May, July, August, and October). The data are from five stations (two on Lake Superior; Siskiwit Bay and Western Mooring, and three on Lake Erie; Central Anoxic Basin, Lorain, and North Bass). This project is led by PIs Joe Werne at University of Pittsburgh, Silvia Newell at University of Michigan, Emily Elliott at University of Pittsburgh, Trinity Hamilton at University of Minnesota, and Richard Ricketts at University of Minnesota Duluth, and was funded by NSF Chemical Oceanography.\n\ncdm_data_type = Other\nVARIABLES:\nYear_Month (unitless)\nDate (unitless)\ntime (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\nLake (unitless)\nSite (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\ndepth (m)\nPressure_Digiquartz (Decible (db))\nTemperature (Degrees C)\nConductivity (MicroSiemens per centimeter (µS/cm))\nSpecific_Conductance (MicroSiemens per centimeter (µS/cm))\nSalinity_Practical (Practical Salinity Unit (PSU))\nFluorescence_WET_Labs_WETstar (Milligram per meter cubed (mg/m3))\nOxygen_SBE_43_mg_l (Milligram per liter (mg/L))\nOxygen_SBE_43_pct_saturation (Percent (%))\nFluorescence_WET_Labs_CDOM (Milligram per meter cubed (mg/m3))\nBeam_Transmission_WET_Labs_C_Star (Percent (%))\nPAR_Irradiance_Biospherical_Licor (µEinsteins/m2/s)\nOxidation_Reduction_Potential (Millivolts (mV))\n... (10 more variables)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_967649_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_967649_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_967649_v1/index.htmlTable https://osprey.bco-dmo.org/dataset/967649 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_967649_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_967649_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_967649_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_962096_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_962096_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_962096_v1/ public [CTD and prey size data in Northern California Current 2022] - CTD summary and prey size data for five mucous mesh grazer species collected during R/V Sikuliaq Cruise SKQ202204S and R/V Marcus G. Langseth Cruise MGL2207 in the Northern California Current in Mar and Jul 2022 (Collaborative Proposal: Are all cell surfaces the same? The effects of particle surface property on predator-prey interactions in the microbial loop) Mucous mesh grazers including pelagic tunicates and thecosome pteropods play a key role in oceanic food webs. Using their fine mucous meshes, these pelagic grazers ingest a wide range of planktonic prey and link pelagic and benthic marine ecosystems. Characterizing the diet of this group is central to fully understanding marine food webs and developing accurate food web models. \n\nMicroscopy has largely been supplanted by other methods, but it remains valuable for its precision in determining cell size and morphology, which are key to characterize the diet and feeding mechanics of grazers. In this study, we use environmental scanning electron microscopy (ESEM) to examine the gut contents of several mucous mesh grazers from the Northern California Current (NCC) including Dolioletta gegenbauri, Thetys vagina, Pegea socia, Pyrosoma atlanticum, and Limacina helicina. Our findings provide size and taxonomic resolution of the prey of these mucous mesh grazers and expands the known prey size range for some species. In the results paper, we also discuss the advantages of using microscopy, including insights into prey morphology and integrity, which enhances our understanding of feeding selectivity, prey defenses, and the fate of grazed plankton in marine ecosystems. Our results reinforce the significant predatory role of mucous mesh grazers in planktonic ecosystems and food webs. \n\nThis dataset includes size measurements of prey items found in the guts of each gelatinous grazer species which were collected and processed in the NCC over two sampling seasons and oceanographic research cruises, as well as background oceanographic data for these stations. The dataset includes collection metadata, CTD summary data, image analysis metadata, grazer species information, prey ids, and prey counts.\n\ncdm_data_type = Other\nVARIABLES:\nstation_season_id (unitless)\nDateTime_Local_PT (unitless)\nstationID (unitless)\nseason (unitless)\nlatitude (degrees_north)\nlongitude (Long, degrees_east)\n... (17 more variables)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_962096_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_962096_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_962096_v1/index.htmlTable https://osprey.bco-dmo.org/dataset/962096 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_962096_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_962096_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_962096_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_1000924_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_1000924_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_1000924_v1/ public [CTD bottle data from KM2113 and KM2212] - CTD seawater bottle data collected from the R/V Kilo Moana cruises KM2113 and KM2212 in the North Pacific Ocean in 2021 and 2022 (Collaborative Research:  Defying Dissolution:  Unraveling the Enigma of North Pacific Deep-Sea Scleractinian Reefs in Undersaturated Water) This dataset contains CTD bottle data collected in the North Pacific Ocean (25 – 35°N and 170°E – 170°W) from August 26 to September 26, 2021 (KM2113) and September 9 to October 22, 2022 (KM2212) aboard the R/V Kilo Moana. Conductivity, temperature, and depth profiles and discrete seawater samples were collected near Northwestern Hawaiian Islands and Emperor Seamount Chain using a shipboard Seabird Electronic SBE25 profiler with salinity, temperature, depth, and dissolved oxygen sensors attached to a 24 12-liter Niskin bottle rosette. All data taken were part of the collaborative research project, \"Defying Dissolution: Unraveling the Enigma of North Pacific Deep-Sea Scleractinian Reefs in Undersaturated Water\". Understanding the seawater characteristics allows for the quantification of biogeochemical systems within the study area to assess the implications of seawater to the deep-sea coral reefs.\n\ncdm_data_type = Other\nVARIABLES:\nEXPOCODE (unitless)\nCruise_ID (unitless)\nStation_ID (unitless)\nCast_number (unitless)\nRosette_position (unitless)\nNiskin_ID (unitless)\nNiskin_flag (unitless)\nSample_ID (unitless)\nYear_UTC (unitless)\nMonth_UTC (unitless)\nDay_UTC (unitless)\nTime_UTC (unitless)\nYearday_UTC (unitless)\ntime (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\nlatitude (degrees_north)\nLongitude (decimal degrees)\nlongitude (Longitude_180, degrees_east)\nDepth_bottom (meter (m))\n... (18 more variables)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_1000924_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_1000924_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_1000924_v1/index.htmlTable https://osprey.bco-dmo.org/dataset/1000924 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_1000924_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_1000924_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_1000924_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_952687_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_952687_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_952687_v1/ public [CTD bottle data from RR2201] - CTD bottle data collected from R/V Roger Revelle cruise RR2201 in the Argo Basin in the Indian Ocean from February to March of 2022 (Collaborative Research: Mesoscale variability in nitrogen sources and food-web dynamics supporting larval southern bluefin tuna in the eastern Indian Ocean) This dataset contains a compilation of CTD bottle sensor values from theR/V Roger Revelle's Indian Ocean cruise RR2201. Data were compiled after export from SBE Processing Tools in R, QA/QC'd based on downcast profiles. All sensors used provided calibration coefficients except for fluorescence, which was calibrated based on in situ chlorophyll-a extractions.\n\ncdm_data_type = Other\nVARIABLES:\ntime (Datetimeutc, seconds since 1970-01-01T00:00:00Z)\ncast (unitless)\ncruise (unitless)\ntransect (unitless)\nevent (unitless)\nstation (unitless)\nlongitude (degrees_east)\nlatitude (degrees_north)\nbottle (unitless)\ndepth (m)\npressure (decibels (db))\ntemperature (degrees Celsius (degC))\nsalinity (Practical Salinity Units (PSU))\ndensity (kilograms per cubic meter (kg m-3))\ntransmission (per meter (m-1))\noxygen (micromoles of oxygen per kilogram (umol O2 kg-1))\noxygenSaturation (unitless)\npar (micromoles of photons per meter squared per second (umol photons m-2 s-1))\nfluorescence (milligrams of chlorophyll a per cubic meter (mg chl-a m-3))\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_952687_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_952687_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_952687_v1/index.htmlTable https://www.bco-dmo.org/dataset/952687 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_952687_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_952687_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_952687_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_860014_v8 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_860014_v8.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_860014_v8/ public [CTD data from Hydrostation S] - Two decibar averaged CTD profiles collected at the Hydrostation S site in the Sargasso Sea from October 1988 (cruise #60643) through December 2023 (cruise #61465) (The Panulirus Hydrographic Stations (Hydrostation S)) Data presented here are CTD profiles from the Hydrostation S (or Panulirus) time series site located 20 km SE of Bermuda (32°10'N, 64°30'W) in the Sargasso Sea for October 1988 through December 2023. Profiles include basic CTD measurements of Pressure, Depth, Temperature, and Salinity, reported along with dissolved oxygen, beam attenuation, and relative fluorescence, at two-decibar averages. The profiles were collected during biweekly cruises to the site from October 1988 (cruise #60643) to December 2023 (cruise #61465). Data and samples have been collected using a SeaBird 9/11+ CTD and integrated Niskin rosette system.\n\ncdm_data_type = Other\nVARIABLES:\nID (unitless)\ntime (Iso_datetime_utc_deployed, seconds since 1970-01-01T00:00:00Z)\nISO_DateTime_UTC_recovered (seconds since 1970-01-01T00:00:00Z)\nlatitude (Latitude_deployed, degrees_north)\nlongitude (Longitude_deployed, degrees_east)\nLatitude_recovered (degrees_north)\nLongitude_recovered (degrees_east)\nCruise_type (unitless)\nCruise_num (unitless)\nCast (unitless)\ndepth (m)\nQF_Depth (unitless)\nPressure (decibars (dbar))\nQF_Pressure (unitless)\nTemperature (degrees Celsius)\nQF_Temperature (unitless)\nSalinity (PSU)\nQF_Salinity (unitless)\nOxygen (micromole per kilogram (umol/kg))\nQF_Oxygen (unitless)\nBAC (reciprocal meters (1/m))\n... (11 more variables)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_860014_v8_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_860014_v8_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_860014_v8/index.htmlTable https://www.bco-dmo.org/dataset/860014 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_860014_v8.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_860014_v8&showErrors=false&email= BCO-DMO bcodmo_dataset_860014_v8
log in [CTD data from Hydrostation S] - Two decibar averaged CTD profiles collected at the Hydrostation S site in the Sargasso Sea from October 1988 (cruise #60643) through December 2024 (cruise #61490) (The Panulirus Hydrographic Stations (Hydrostation S)) Data presented here are CTD profiles from the Hydrostation S (or Panulirus) time series site located 20 km SE of Bermuda (32°10'N, 64°30'W) in the Sargasso Sea for October 1988 through December 2024. Profiles include basic CTD measurements of Pressure, Depth, Temperature, and Salinity, reported along with dissolved oxygen, beam attenuation, and relative fluorescence, at two-decibar averages. The profiles were collected during biweekly cruises to the site from October 1988 (cruise #60643) to December 2024 (cruise #61490). Data and samples have been collected using a SeaBird 9/11+ CTD and integrated Niskin rosette system.\n\ncdm_data_type = Other\nVARIABLES:\nID (unitless)\ntime (Iso_datetime_utc_deployed, seconds since 1970-01-01T00:00:00Z)\nISO_DateTime_UTC_recovered (seconds since 1970-01-01T00:00:00Z)\nlatitude (Latitude_deployed, degrees_north)\nlongitude (Longitude_deployed, degrees_east)\nLatitude_recovered (degrees_north)\nLongitude_recovered (degrees_east)\nCruise_type (unitless)\nCruise_num (unitless)\nCast (unitless)\ndepth (m)\nQF_Depth (unitless)\nPressure (decibars (dbar))\nQF_Pressure (unitless)\nTemperature (degrees Celsius)\nQF_Temperature (unitless)\nSalinity (PSU)\nQF_Salinity (unitless)\nOxygen (micromole per kilogram (umol/kg))\nQF_Oxygen (unitless)\nBAC (reciprocal meters (1/m))\n... (7 more variables)\n BCO-DMO bcodmo_dataset_860014_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_860014_v10 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_860014_v10.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_860014_v10/ public [CTD data from Hydrostation S] - Two decibar averaged CTD profiles collected at the Hydrostation S site in the Sargasso Sea from October 1988 (cruise #60643) through December 2024 (cruise #61490) (The Panulirus Hydrographic Stations (Hydrostation S)) Data presented here are CTD profiles from the Hydrostation S (or Panulirus) time series site located 20 km SE of Bermuda (32°10'N, 64°30'W) in the Sargasso Sea for October 1988 through December 2024. Profiles include basic CTD measurements of Pressure, Depth, Temperature, and Salinity, reported along with dissolved oxygen, beam attenuation, and relative fluorescence, at two-decibar averages. The profiles were collected during biweekly cruises to the site from October 1988 (cruise #60643) to December 2024 (cruise #61490). Data and samples have been collected using a SeaBird 9/11+ CTD and integrated Niskin rosette system.\n\ncdm_data_type = Other\nVARIABLES:\nID (unitless)\ntime (Iso_datetime_utc_deployed, seconds since 1970-01-01T00:00:00Z)\nISO_DateTime_UTC_recovered (seconds since 1970-01-01T00:00:00Z)\nlatitude (Latitude_deployed, degrees_north)\nlongitude (Longitude_deployed, degrees_east)\nLatitude_recovered (degrees_north)\nLongitude_recovered (degrees_east)\nCruise_type (unitless)\nCruise_num (unitless)\nCast (unitless)\ndepth (m)\nQF_Depth (unitless)\nPressure (decibars (dbar))\nQF_Pressure (unitless)\nTemperature (degrees Celsius)\nQF_Temperature (unitless)\nSalinity (PSU)\nQF_Salinity (unitless)\nOxygen (micromole per kilogram (umol/kg))\nQF_Oxygen (unitless)\nBAC (reciprocal meters (1/m))\n... (7 more variables)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_860014_v10_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_860014_v10_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_860014_v10/index.htmlTable https://osprey.bco-dmo.org/dataset/860014 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_860014_v10.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_860014_v10&showErrors=false&email= BCO-DMO bcodmo_dataset_860014_v10
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_860014_v9 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_860014_v9.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_860014_v9/ public [CTD data from Hydrostation S] - Two decibar averaged CTD profiles collected at the Hydrostation S site in the Sargasso Sea from October 1988 (cruise #60643) through July 2024 (cruise #61478) (The Panulirus Hydrographic Stations (Hydrostation S)) Data presented here are CTD profiles from the Hydrostation S (or Panulirus) time series site located 20 km SE of Bermuda (32°10'N, 64°30'W) in the Sargasso Sea for October 1988 through July 2024. Profiles include basic CTD measurements of Pressure, Depth, Temperature, and Salinity, reported along with dissolved oxygen, beam attenuation, and relative fluorescence, at two-decibar averages. The profiles were collected during biweekly cruises to the site from October 1988 (cruise #60643) to July 2024 (cruise #61478). Data and samples have been collected using a SeaBird 9/11+ CTD and integrated Niskin rosette system.\n\ncdm_data_type = Other\nVARIABLES:\nID (unitless)\ntime (Iso_datetime_utc_deployed, seconds since 1970-01-01T00:00:00Z)\nISO_DateTime_UTC_recovered (seconds since 1970-01-01T00:00:00Z)\nlatitude (Latitude_deployed, degrees_north)\nlongitude (Longitude_deployed, degrees_east)\nLatitude_recovered (degrees_north)\nLongitude_recovered (degrees_east)\nCruise_type (unitless)\nCruise_num (unitless)\nCast (unitless)\ndepth (m)\nQF_Depth (unitless)\nPressure (decibars (dbar))\nQF_Pressure (unitless)\nTemperature (degrees Celsius)\nQF_Temperature (unitless)\nSalinity (PSU)\nQF_Salinity (unitless)\nOxygen (micromole per kilogram (umol/kg))\nQF_Oxygen (unitless)\nBAC (reciprocal meters (1/m))\n... (7 more variables)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_860014_v9_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_860014_v9_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_860014_v9/index.htmlTable https://www.bco-dmo.org/dataset/860014 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_860014_v9.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_860014_v9&showErrors=false&email= BCO-DMO bcodmo_dataset_860014_v9
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_860014_v11 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_860014_v11.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_860014_v11/ public [CTD data from Hydrostation S] - Two decibar averaged CTD profiles collected at the Hydrostation S site in the Sargasso Sea from October 1988 through June 2025 (The Panulirus Hydrographic Stations (Hydrostation S)) Data presented here are CTD profiles from the Hydrostation S (or Panulirus) time series site located 20 km SE of Bermuda (32°10'N, 64°30'W) in the Sargasso Sea for October 1988 through June 2025. Profiles include basic CTD measurements of Pressure, Depth, Temperature, and Salinity, reported along with dissolved oxygen, beam attenuation, and relative fluorescence, at two-decibar averages. The profiles were collected during biweekly cruises to the site from October 1988 (cruise #60643) to June 2025 (cruise #61501). Data and samples have been collected using a SeaBird 9/11+ CTD and integrated Niskin rosette system.\n\ncdm_data_type = Other\nVARIABLES:\nID (unitless)\ntime (Iso_datetime_utc_deployed, seconds since 1970-01-01T00:00:00Z)\nISO_DateTime_UTC_recovered (seconds since 1970-01-01T00:00:00Z)\nlatitude (Latitude_deployed, degrees_north)\nlongitude (Longitude_deployed, degrees_east)\nLatitude_recovered (degrees_north)\nLongitude_recovered (degrees_east)\nCruise_type (unitless)\nCruise_num (unitless)\nCast (unitless)\ndepth (m)\nQF_Depth (unitless)\nPressure (decibars (dbar))\nQF_Pressure (unitless)\nTemperature (degrees Celsius)\nQF_Temperature (unitless)\nSalinity (PSU)\nQF_Salinity (unitless)\nOxygen (micromole per kilogram (umol/kg))\nQF_Oxygen (unitless)\nBAC (reciprocal meters (1/m))\n... (7 more variables)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_860014_v11_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_860014_v11_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_860014_v11/index.htmlTable https://osprey.bco-dmo.org/dataset/860014 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_860014_v11.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_860014_v11&showErrors=false&email= BCO-DMO bcodmo_dataset_860014_v11
log in [CTD Data, Zooglider BioSWOT-Med] - CTD Data for BioSWOT-Med Zooglider deployment in the Northwestern Mediterranean Sea, March-May 2023 (Zooglider assessment of zooplankton frontal gradients across the BIOSWOT-Med region) These data are based on deployment of the Scripps Zooglider in collaboration with the French-led BIOSWOT-Med study in the Northwestern Mediterranean Sea in Spring 2023.  This study was one of the Adopt-a-Crossover field studies carried out around the world in synchrony with the launch by NASA/CNES of the new SWOT satellite for enhanced ocean altimetry.  We deployed Zooglider on 30 March 2023 from Palma, Majora using a small craft, then navigated it remotely to the BIOSWOT-Med study region.  Initially Zooglider sampled to the east of Majorca and south of Menorca. Then we recovered Zooglider at sea, transported it to the center of an anticyclonic eddy north of Menorca, and redeployed it, navigating it from the eddy center across the eddy periphery.  We then recovered it at sea on 8 May 2023, for a total mission duration of 40 days.  Zooglider data were telemetered back to our server each time the vehicle surfaced and the data were immediately posted on our public website, available to all BIOSWOT-Med participants and any member of the general public.  The data archived here are the data recovered from the Zooglider at the end of the mission.  They include vertical profiles of temperature, salinity, density, and Chl-a fluorescence.  Data were typically acquired in Zooglider dives between approximately 420 m depth and the sea surface, apart from initial and final Zooglider dives that were somewhat shallower.\n\ncdm_data_type = Other\nVARIABLES:\nDive_number (unitless)\nlatitude (Latitude_mid_ascent_75, degrees_north)\nlongitude (Longitude_mid_ascent_75, degrees_east)\nDate_UTC (unitless)\nTime_UTC (unitless)\nPressure (decibars)\nTemperature (degrees Celsius (° C))\nSalinity (unitless)\nDensity (kg/m3)\nChla_fluorescence (counts)\n BCO-DMO bcodmo_dataset_971065_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_952677_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_952677_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_952677_v1/ public [CTD downcast from RR2201] - CTD downcast data collected from R/V Roger Revelle cruise RR2201 in the Argo Basin in the Indian Ocean from February to March of 2022 (Collaborative Research: Mesoscale variability in nitrogen sources and food-web dynamics supporting larval southern bluefin tuna in the eastern Indian Ocean) This dataset contains a compilation of CTD downcast data from the R/V Roger Revelle's Indian Ocean cruise RR2201. Data were visually and statistically QA/QC'd in R after export from SBE Processing Tools. Data were not binned due to very coarse resolution of raw data (approximately 1 m). All sensors used provided calibration coefficients except for fluorescence, which was calibrated based on in situ chlorophyll-a extractions.\n\ncdm_data_type = Other\nVARIABLES:\ntime (Datetimeutc, seconds since 1970-01-01T00:00:00Z)\ncast (unitless)\ncruise (unitless)\ntransect (unitless)\nevent (unitless)\nstation (unitless)\nlongitude (degrees_east)\nlatitude (degrees_north)\ndepth (m)\npressure (decibels (db))\ntemperature (degrees Celsius (degC))\nsalinity (Practical Salinity Units (PSU))\ndensity (kilograms per cubic meter (kg m-3))\ntransmission (per meter (m-1))\noxygen (micromoles of oxygen per kilogram (umol O2 kg-1))\noxygenSaturation (unitless)\npar (micromoles of photons per meter squared per second (umol photons m-2 s-1))\nfluorescence (milligrams of chlorophyll a per cubic meter (mg chl-a m-3))\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_952677_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_952677_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_952677_v1/index.htmlTable https://www.bco-dmo.org/dataset/952677 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_952677_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_952677_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_952677_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_995434_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_995434_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_995434_v1/ public [CTD Niskin bottle data from FKt230602 and Fkt231202] - CTD Niskin bottle data from research cruises FKt230602 and Fkt231202 on R/V Falkor (too) in the Central Eastern Pacific Ocean, offshore Costa Rica from June to December 2023 (Octopus Odyssey) This dataset includes water sample data collected using a CTD Niskin Rosette during two Octopus Odyssey expeditions aboard R/V Falkor (too) in June and December 2023. The dataset covers sampling events at Dorado Outcrop and Pampa Submarina, a hydrothermally active area off Costa Rica's Pacific margin. The dataset includes parameters such as sample type, cruise number, station number, cast number, depth, sample code, temperature, salinity, and oxygen concentrations, along with associated observational notes. The data were collected using a CTD rosette with 24 Niskin bottles, which were descended to various depths to assess hydrographic conditions in the region, contributing to a better understanding of hydrography, ecology, and water column dynamics. The research was conducted by an international team in collaboration with Costa Rican institutions, and the dataset is instrumental in oceanographic studies related to seamount ecosystems and fluid circulation.\n\ncdm_data_type = Other\nVARIABLES:\nSample_Type (unitless)\nCruise_Number (unitless)\nStation (unitless)\ntime (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\nDate (unitless)\nTimeUTC (unitless)\nCast (unitless)\ndepth (m)\nSubsample (unitless)\nSample_code (unitless)\nObservations (unitless)\nResponsible (unitless)\nBottle (unitless)\nlatitude (degrees_north)\nlongitude (Long, degrees_east)\nT (degrees Celsius)\nSal (grams per killogram (g/kg))\nO2 (micromoles per kilogram (umol/kg))\nO2_2 (micromoles per kilogram (umol/kg))\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_995434_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_995434_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_995434_v1/index.htmlTable https://osprey.bco-dmo.org/dataset/995434 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_995434_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_995434_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_995434_v1
log in [CTD Niskin Carbonate Chemistry] - Carbonate chemistry data from water samples collected via CTD Niskin Bottles aboard Falkor (too) on cruises FKT230602 and FKT231202 in hydrothermally active areas off Costa Rica’s Pacific margin from Jun and Dec 2023 (Octopus Odyssey) This dataset includes data from discrete water samples collected during two Octopus Odyssey expeditions aboard R/V Falkor (too) in June (FKT230602) and December (FKT231202) 2023. The data consists mainly of near-the-surface sampling events, with some take from the bottom at Dorado Outcrop and Pampa Submarina, hydrothermally active areas off Costa Rica's Pacific margin. \n\nThe dataset includes information such as sampler, cruise number, station number, cast number, sampling date/time, depth, subsample/sample code, sampling coordinates, temperature (ºC), salinity (g/kg), oxygen (µmol/kg), dissolved inorganic carbon (µmol/kg), total alkalinity (µmol/kg), and inorganic nutrients (µmol/L), along with associated observational notes. The water samples were collected from 12 L Niskin bottles (24 Niskin bottles-CTD rosette) and in situ physicochemical parameters (temperature, salinity, oxygen) were measured with CTD. Water samples were analyzed at Centro de Investigación en Ciencias del Mar y Limnología (CIMAR-UCR). The research was conducted by an international team in collaboration with Costa Rican institutions, and the dataset is instrumental in oceanographic studies related to seamount ecosystems and carbonate chemistry.\n\ncdm_data_type = Other\nVARIABLES:\nSampler (unitless)\nCruise_Number (unitless)\nStation_Number (unitless)\nCast_Number (unitless)\ndepth (m)\nSubsample (unitless)\nSample_code (unitless)\nObservations (unitless)\nResponsible (unitless)\nBottle_No (unitless)\nlatitude (degrees_north)\nlongitude (Long, degrees_east)\nT (degrees Celsius)\nSal (g/kg)\n... (9 more variables)\n BCO-DMO bcodmo_dataset_997715_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_774459_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_774459_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_774459_v1/ public [CTD sensor] - CTD sensor data from two cruises from R/V Robert Gordon Sproul SP1714 in the California Current waters off the coast of Southern California and Baja California from 2017-2018 (Collaborative Research: Biogeochemical significance of the abundant, uncultivated symbiotic cyanobacteria UCYN-A) CTD sensor data from two cruises from R/V Robert Gordon Sproul SP1714 in the California Current waters off the coast of Southern California and Baja California from 2017-2018\n\ncdm_data_type = Other\nVARIABLES:\nCruise (unitless)\nStation (unitless)\nCast (unitless)\nLat (degrees_north)\nlongitude (degrees_east)\ndepth (m)\nPress (decibars (db))\nTemp1 (degrees Celsius)\nTemp2 (degrees Celsius)\nSal1 (practical salinity units (PSU))\nSal2 (practical salinity units (PSU))\nO2 (mililiters per liter (ml/L))\nFluor (miligrams per meter cubed (mg/m3))\nPar (percent)\nSigTheta1 (kilograms per meter cubed (kg/m3))\nSigTheta2 (kilograms per meter cubed (kg/m3))\nTime_elapsed (seconds (s))\nDepth_bot (meters (m))\nDensity (kilograms per meter cubed (kg/m3))\nPot_temp1 (degrees Celsius)\nPot_temp2 (degrees Celsius)\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_774459_v1/index.htmlTable https://www.bco-dmo.org/dataset/774459 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_774459_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_774459_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_774459_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_1005588_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_1005588_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_1005588_v1/ public [CTD SPOT Cruise 2025] - CTD profiles collected from the San Pedro Ocean Time-series (SPOT) station in the San Pedro Basin, Southern California Bight, aboard R/V Yellowfin on February 19, 2025 (Collaborative Research: The impact of ocean warming on bioactive trace metal requirements and use efficiencies of marine nitrifying microorganisms) This dataset contains CTD profiles collected during the SPOT cruise in the San Pedro Ocean Time-series (Southern California Bight) on February 19, 2025. Measurements include depth, temperature, salinity, pH, dissolved oxygen, PAR, and related optical and physical parameters, collected using a CTD system to characterize water column conditions.\n\ncdm_data_type = Other\nVARIABLES:\nDate_of_sampling (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\nCast_ID (unitless)\ndepth (m)\nTemp (degrees Celsius (°C))\nConductivity (siemens per meter (S/m))\nSalinity (practical salinity unit (PSU))\nPressure (decibar (dbar))\nOxygen_mg_l (milligrams per liter (mg/L))\nOxygen_percent_sat (percent (%))\nPh (unitless)\nPAR (microeinstein per square meter per second (μE m⁻² s⁻¹))\nFluorescence (relative units)\nTurbidity (nephelometric turbidity units (NTU))\nBeam_transmission (per meter (m⁻¹))\nElapsed_time (seconds (s))\nFlag (unitless)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_1005588_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_1005588_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_1005588_v1/index.htmlTable https://osprey.bco-dmo.org/dataset/1005588 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_1005588_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_1005588_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_1005588_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_911338_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_911338_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_911338_v1/ public [Cyanobacteria cultures used to generate DNA reference library] - Cyanobacteria cultures used to generate DNA reference library from samples collected from sites in Alpena and Monroe, Michigan and Palm Coast, Florida between May and June 2022. (Collaborative Research: RUI: OCE-BO: Tango in the Mat World: Biogeochemistry of diurnal vertical migration in microbial mats of Lake Huron’s sinkholes) These data are the information for each of the cultures generated from samples collected from three sites in Alpena, Michigan, one site in Monroe, Michigan, and one site in Palm Coast, Florida. Data are for cultures sequenced using Sanger sequencing and include taxonomic identification, location and sample type for samples used to develop the cultures.\nEach of these cultures was developed from high-sulfur, low-oxygen environments formed by underwater sinkholes and springs that create extreme habitats populated by microbial mat communities. Our study investigated previously undescribed diatom diversity in these habitats. Sequences from these cultures contribute to tying molecular data to morphologically identified isolates, providing a bridge between these two data types that can be used to improve metabarcoding analyses.\n\ncdm_data_type = Other\nVARIABLES:\nNCBI_Accession (unitless)\nCulture_ID (unitless)\nGenus (unitless)\nSpecies (unitless)\nMedia (unitless)\nCollection_Date (unitless)\nLocation (unitless)\nSample_Type (unitless)\nLat (degrees_north)\nlongitude (Long, degrees_east)\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_911338_v1/index.htmlTable https://www.bco-dmo.org/dataset/911338 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_911338_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_911338_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_911338_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_990924_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_990924_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_990924_v1/ public [Daily intertidal temperatures] - Daily intertidal temperatures (air and water) for Oregon and California PISCO sites from 1993 to 2024 (Collaborative Research: The role of calcifying algae as a determinant of rocky intertidal macrophyte community structure at a meta-ecosystem scale) To characterize the temperature regime at each site, we used temperature loggers deployed by the PISCO and MARINe research programs at several sites along the Oregon and California coasts. These data are valuable for determining how organisms on shore (see associated datasets in the project) are responding to temperature changes as the climate warms. See methods for details.\n\ncdm_data_type = Other\nVARIABLES:\nSiteCode_OSU (unitless)\npisco_code (unitless)\nName (unitless)\nState (unitless)\nCape (unitless)\nRegion (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\ndate (unitless)\nyear (unitless)\nmonth (unitless)\nyearmonth (unitless)\nday (unitless)\nzonetype (unitless)\nairwater (unitless)\nn_records (count)\nmean_dailytemp_c (degrees Celsius)\nmax_dailytemp_c (degrees Celsius)\nmin_dailytemp_c (degrees Celsius)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_990924_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_990924_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_990924_v1/index.htmlTable https://osprey.bco-dmo.org/dataset/990924 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_990924_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_990924_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_990924_v1
log in [Damariscotta River mysids, zooplankton, and environmental variables] - Abundance of mysid shrimp and zooplankton along with environmental variables from surveys in Damariscotta River estuary, Maine from June 2023 to Feb 2024 (Collaborative Research: Characterizing benthic mysid ecology and animal-fluid interactions in response to background flow, food, and light conditions) Mysid shrimp are small crustaceans that are of particular importance in estuaries due to their role in nutrient subsidies and their importance in the diet of juvenile fishes. Despite their importance, they are typically undersampled relative to other zooplankton taxa. High abundances of Neomysis americana have been documented in the Damariscotta River estuary (DRE), Maine in late summer. While their summer abundance and small-scale diel migration behavior has been well described in the DRE, details about their basic ecology, life history, and reproduction in the DRE across seasons remains unknown. The purpose of this survey is to describe the seasonal abundance and population structure of N. americana in relation to environmental parameters and zooplankton-prey abundance. The survey was conducted every two weeks beginning in May of 2023 through October 2023 with monthly sampling being completed from November 2023 through May 2024. Mysid and zooplankton samples were collected from the dock at the Darling Marine Center These data files include environmental measurements made with a YSI sonde. Sonde-measured parameters include temperature, salinity, chlorophyll-a, and turbidity. These data files also include density and biomass information for zooplankton and mysid shrimp.\n\ncdm_data_type = Other\nVARIABLES:\nDate (unitless)\ntime_local (Time, unitless)\ntime (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\nSite (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\nMax_Depth (units)\nTemp (degrees Celsius)\nSalinity (PSU (practical salinity units))\nTurbidity (NTU (nephelometric turbidity units))\nChlorophyll (microgram per liter (ug/L))\nZooplankton_biomass (milligrams per cubic meter (mg/m3))\nMysid_density (individuals per cubic meter (#/m3))\n BCO-DMO bcodmo_dataset_925613_v1
log in [Damselfish Energetics] - Damselfish energetics from multiple shallow reef sites in the Caribbean between June 2016-2019 (Beyond Cleaning and Symbiosis: Ecology of 'Ticks of the Sea' on Coral Reefs) Food webs are a complex array of trophic interactions. With a heavy emphasis on \"classic\" predator-prey interactions, most studies of trophic dynamics completely omitted parasitic interactions. However, recent work has shown that parasites contribute significantly to many aspects of trophic structure. In the current study, I have estimated the biomass transfer by parasites and predators from members of the genus Stegastes from multiple sites in the Caribbean. These results show that most of the parasite-driven biomass transfer comes from ectoparasitic gnathiid isopods. Moreover, I have found that predation rates are high for juveniles and decrease as they become adults, while the opposite is true for parasitism. Despite this, more biomass is being transferred from adults than younger stages via both predation and parasitism. I also show that in coral reef ecosystems, parasitism can transfer more biomass than predation for adult Stegastes. These results highlight the contribution of parasites to energy flow in coral reef environments and suggest that they must be considered in future food web studies.\n\ncdm_data_type = Other\nVARIABLES:\nid (unitless)\nsite (unitless)\nisland (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\nstage (unitless)\nspecies (unitless)\nseg (unitless)\nblock (unitless)\nstarttime (unitless)\nendtime (unitless)\np1 (unitless)\np2 (unitless)\np3 (unitless)\nptotal (unitless)\nlength (centimeters (cm))\n... (9 more variables)\n BCO-DMO bcodmo_dataset_887892_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_921924_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_921924_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_921924_v1/ public [DDA nutrient acquisition] - Hemiaulus-Richelia physiological response to different nitrogen sources (META-DDA: METabolic Activities of Diatom-Diazotroph Associations) Diatom-diazotroph associations (DDAs) play an important role at the base of the food web by fixing both carbon dioxide and nitrogen gas into organic matter. The ability of DDAs to fix nitrogen allows the relatively large diatom host to survive under nitrogen-deplete conditions and, thus, contribute significantly to organic carbon export in oligotrophic waters. Yet, relatively little is known about this symbiosis, in part because it has historically been difficult to maintain DDAs in culture. Here, we isolated the DDA Hemiaulus-Richelia from the Sargasso Sea and developed a protocol to maintain it in laboratory culture for long time periods (years). Experiments were conducted to determine how Hemiaulus-Richelia responds to different nitrogen sources with measurements of growth and nitrogen fixation.\n\ncdm_data_type = Other\nVARIABLES:\nFlask (unitless)\nTime_gp (unitless)\nTimepoint (days)\nTreatment (unitless)\nRFU_Turner (relative fluorescence units)\nchla (micrograms per cell (ug/cell))\nphaeophytin (micrograms per cell (ug/cell))\nHemiaulus_cellspermL (cells per milliliter (cells/mL))\nRichelia_cellspermL (cells per milliliter (cells/mL))\nAsymb_cellspermL (cells per milliliter (cells/mL))\nHemaiulus_mean_SA (square micrometers (um^2))\nHemaiulus_mean_vol (cubic micrometers (um^3))\nRichelia_mean_SA (square micrometers (um^2))\nRichelia_mean_vol (cubic micrometers (um^3))\nNO3_uM (micromolar (uM))\nNO2_uM (micromolar (uM))\nNH4_uM (micromolar (uM))\nSiOH4_uM (micromolar (uM))\nPO4_uM (micromolar (uM))\n... (15 more variables)\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_921924_v1/index.htmlTable https://osprey.bco-dmo.org/dataset/921924 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_921924_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_921924_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_921924_v1
log in [Deep-DOM Metaproteome] - Sample information for metaproteomic samples taken from Station 2 from R/V Knorr KN210-04 in the Western Atlantic Ocean between Uruguay and Barbados from March 2013 (Dissolved Organic Matter Composition in the Deep Atlantic Ocean) This dataset includes metadata from metaproteomic samples collected at Station 2 during the R/V Knorr Cruise KN210-04 in the Western Atlantic Ocean between Uruguay and Barbados in 2013. The accompanying total spectral counts for proteins and peptides from these samples are available on the PRoteomics IDEentifications Database (PRIDE) under Project PXD034035.\n\ncdm_data_type = Other\nVARIABLES:\nsample_id (unitless)\nms_ms_sample_name (unitless)\nstation_id (unitless)\ndepth (Depth_m, m)\nlatitude_dd (degrees_north)\nlongitude (Longitude_dd, degrees_east)\ndate_ISO (unitless)\ntime_h_m_s (unitless)\nminimum_filter_size_microns (microns)\nmaximum_filter_size_microns (microns)\ncruise_id (unitless)\nevent_number (unitless)\ntime (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\n BCO-DMO bcodmo_dataset_875622_v1
log in [DeepZoo field-verification at the EPR on AT50-33] - Meroplankton larvae and benthopelagic invertebrates collected during field-verification of the novel zooplankton sampler, DeepZoo, at the East Pacific Rise aboard the R/V Atlantis AT50-33 (RUI: Collaborative: The Predictive Nature of Microbial Biofilms for Cuing Larval Settlement at Deep-Sea Hydrothermal Vents) This dataset provides counts for meroplankton and benthopelagic juvenile fauna collected during field verification of a novel zooplankton sampler, DeepZoo, near hydrothermal vents on the East Pacific Rise (EPR) vents during the R/V Atlantis cruise AT50-33 in January and February 2025. DeepZoo is a low-cost, modular, and all-depth-capable zooplankton sampler that utilizes a Blue Robotics T200 thruster to drive water over a mesh net (63 micron mesh in this study). DeepZoo was deployed both as an engineering test and as a method comparison to the large-volume plankton pump (McLane WTS-LV50), which has been sampling larval diversity for over 27 years at the EPR vents. DeepZoo was deployed in tandem with the McLane plankton pump on the Multidisciplinary Instrumentation in Support of Oceanography (MISO) lander at YBW-Shimmering Forest and twice on the science basket of HOV Alvin at both active (Riftia Mound) and inactive (Fangorn Forest) hydrothermal vent features. Samples were sorted completely and preserved in ethanol. All specimens were identified morphologically, to varying degrees of lowest taxonomic resolution, under a dissecting scope and conform to the “EPR pump time series” identifications. Further, a subset of identifications were supported with DNA barcoding of a partial region of cytochrome c oxidase I (COI) gene. The primary data file is a single compiled table with the leftmost columns as a Darwin Core Occurrence extension table and the rightmost columns from a Darwin Core Event core table.\n\ncdm_data_type = Other\nVARIABLES:\noccurrenceID (unitless)\nidentificationRemarks (unitless)\nverbatimIdentification (unitless)\nindividualCount (integer count)\nscientificName (unitless)\nscientificNameID (unitless)\ntaxonRank (unitless)\nclass (unitless)\nphylum (unitless)\nkingdom (unitless)\nidentifiedBy (unitless)\nassociatedSequences (unitless)\n... (21 more variables)\n BCO-DMO bcodmo_dataset_991014_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_945381_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_945381_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_945381_v1/ public [Delaware Bay ACOE Salinity Data] - Salinity data collected by the Army Corps of Engineers (ACOE) from near-bottom sondes placed in oyster beds in the Delaware Bay from 2012 to 2018 (SEGO project) (Collaborative Research: Spatial analysis of genetic differences in salinity tolerance resulting from rapid natural selection in estuarine oysters) The data in this dataset was originally collected by the Army Corps of Engineers (ACOE) and was curated for use in the Selection along Estuarine Gradients in Oysters (SEGO) project. Quoting Howlader (2022): “This dataset was collected in response to the deepening of the Delaware River navigational channel. The dataset has continuous near-bottom (1 m off the bottom) measurements of temperature and specific conductivity taken every 30 minutes at the five oyster bed stations from July-December in 2012-2015 and 2018 using a YSI series 6600EDS V2 data sondes (Bromilow & Wong 2018; Bushek et al. 2014, 2015, 2016). Data sondes were swapped once per month. The depth of water at the monitoring stations were 5-8 meters (Bushek et al. 2014, 2015, 2016).” The dataset includes salinity values expressed alongside corresponding datetime (UTC/GMT), station name, latitude, and longitude. The data was curated by removing anomalous values, shifting the data by the tidal basis to align it with data from Reed Point.\n\ncdm_data_type = Other\nVARIABLES:\ntime (Datetime, seconds since 1970-01-01T00:00:00Z)\nSalinity (psu)\nStation (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_945381_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_945381_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_945381_v1/index.htmlTable https://www.bco-dmo.org/dataset/945381 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_945381_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_945381_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_945381_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_872323_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_872323_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_872323_v1/ public [Delaware Bay Oyster Samples] - Delaware Bay oyster archived tissues (SeaGo project) (Collaborative Research: Spatial analysis of genetic differences in salinity tolerance resulting from rapid natural selection in estuarine oysters) The Selection along Estuarine Gradients in Oysters (SEGO) project is a collaborative NSF-funded effort to measure and understand the dynamics of short term adaptive change at small spatial scale. We focused on eastern oysters as an example of a common marine life history – high fecundity, complex life cycle with early larval dispersal, and sedentary (sessile for oysters) life after larval settlement. \n\nThe data assembled in “NSF oyster tissues BCO-DMO” are collections made over three years for two types of genomic analysis: (1) annual adult samples collected along the axis of the Delaware Bay estuary to capture a gradient in potentially stressful low salinities, (2) adult samples collected from mid-bay for experimental low-salinity challenge experiments, and (3) spat and broodstock collected for low salinity challenge experiments directly on wild spat or on larval progeny of broodstock collected from low vs. moderate salinity, respectively. Transect adults were collected by dredge in 2018, 2019 and 2021 from the same 5 subset of sites, each year, that the Rutgers Haskin lab consistently monitors every year to manage the oyster fishery. By piggy backing on the Haskin monitoring effort, the SEGO project has benefited from the long term data and deep understanding that Rutgers scientists have built about the Delaware Bay oyster population. 2021 was an exception because oyster juveniles (spat) were found at three additional sites and collected and analyzed. Two replicate challenge experiments on adults were accomplished in 2019 and 2020 using similar-size oysters collected from the highest oyster density part of the Delaware Bay population where environmental variation seems to generate the least mortality. Full details on the challenge experiments, and genomic comparison of survivors vs. nonsurvivors, is being prepared for publication. \n\nThe analytical context involved low salinity challenge experiments on wild collected spat in 2020 – those methods and results are in press in Journal of Shellfish Research. Finally, broodstock collected in low vs. moderate salinity regions of the estuary were spawned to conduct a low salinity challenge experiment on their larvae, but larval performance and survival was too low for meaningful results.\n\ncdm_data_type = Other\nVARIABLES:\nDate (unitless)\n... (17 more variables)\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_872323_v1/index.htmlTable https://www.bco-dmo.org/dataset/872323 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_872323_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_872323_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_872323_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_997800_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_997800_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_997800_v1/ public [Depth profiles of lipid biomarkers KM1314] - Depth profiles of lipid biomarkers from R/V Kilo Moana KM1314 in the North Pacific Ocean (Seattle to Honolulu, Line P, Station ALOHA), Aug-Sept 2013 (Significance of nitrification in shaping planktonic biodiversity in the ocean) This dataset contains in situ temperature (°C), TEX86-derived temperature (°C), and isoprenoid concentrations (ng L−1) measured from 0 to 300 m depth at Stations 5, 8, and 13 in the Northeastern Pacific Ocean during the R/V Kilo Moana cruise KM1314 in August 2013. Samples were collected to characterize vertical variations in archaeal lipid biomarkers and evaluate the relationship between TEX86 paleotemperature estimates and ambient water column temperature. In situ temperatures were obtained from CTD measurements, TEX86 values were calculated from the relative abundances of GDGT-1, GDGT-2, GDGT-3, and the crenarchaeol regioisomer, and TEX86-derived temperatures were reconstructed using a published calibration equation. These data were generated to assess how environmental gradients influence archaeal lipid distributions and the accuracy of TEX86 temperature reconstructions in the upper ocean.\n\ncdm_data_type = Other\nVARIABLES:\ntime (Datetime_of_sampling, seconds since 1970-01-01T00:00:00Z)\nlatitude (degrees_north)\nlongitude (degrees_east)\nStation_ID (unitless)\ndepth (Depth_m, m)\ninsitu_T_degC (degrees Celsius (°C))\nTEX86_derived_temperature_degC (degrees Celsius (°C))\nIsoprenoid_ng_per_L (nano gram per liter (ng/L))\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_997800_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_997800_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_997800_v1/index.htmlTable https://osprey.bco-dmo.org/dataset/997800 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_997800_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_997800_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_997800_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_997809_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_997809_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_997809_v1/ public [Depth profiles of N2O concentrations and site preference KM1314] - Depth profiles of N2O concentrations and site preference from R/V Kilo Moana KM1314 in the The North Pacific Ocean (Seattle to Honolulu, including Line P, Station ALOHA), Aug - Sept 2013 (Significance of nitrification in shaping planktonic biodiversity in the ocean) Nitrous oxide (N2O) is an important greenhouse gas, and the ocean represents a significant source to the atmosphere. However, in situ measurements of N2O concentrations in the northeastern Pacific Ocean are scarce, and the processes controlling its production and consumption remain poorly constrained. During the R/V Kilo Moana cruise KM1314 (August 2013), vertical profiles were collected at Stations 1, 5, 8, and 13 from the surface to 300 m depth. The dataset includes dissolved N2O concentrations and isotopic measurements, including site preference and related isotope parameters. These observations provide constraints on the pathways and dynamics of N2O cycling in the upper water column and support investigation of nitrification and other microbial processes regulating marine N2O production in this region.\n\ncdm_data_type = Other\nVARIABLES:\ntime (Datetime_of_sampling, seconds since 1970-01-01T00:00:00Z)\nlatitude (degrees_north)\nlongitude (degrees_east)\nStation_ID (unitless)\ndepth (m)\nN2O_Concentration (nmol per milliliter (nmol/L))\nd15Na (permille (‰))\nd15Nb (permille (‰))\nSp (permille (‰))\nd15Nbulk (permille (‰))\nd17O (permille (‰))\nd18O (permille (‰))\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_997809_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_997809_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_997809_v1/index.htmlTable https://osprey.bco-dmo.org/dataset/997809 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_997809_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_997809_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_997809_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_1005611_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_1005611_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_1005611_v1/ public [Depth profiles of nutrients and dark carbon fixation rates SPOT 2025] - Depth profiles of nutrients and dark carbon fixation rates collected from the San Pedro Ocean Time-series (SPOT) R/V Yellowfin cruise in the San Pedro Basin on February 19, 2025 (Collaborative Research: The impact of ocean warming on bioactive trace metal requirements and use efficiencies of marine nitrifying microorganisms) This dataset contains depth-resolved measurements of nutrients and dark carbon fixation collected during the SPOT cruise in the San Pedro Ocean Time-series (Southern California Bight) on February 19, 2025. Samples were collected from depths ranging from 15 to 100 m. The dataset includes concentrations of ammonia, nitrite, and nitrate, as well as dark carbon fixation rates and associated standard deviations. These data characterize nutrient distributions and microbial carbon fixation activity in the water column.\n\ncdm_data_type = Other\nVARIABLES:\nDate_of_sampling (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\ndepth (m)\nAmmonia (nanomole per liter (nM))\nNitrite (nanomole per liter (nM))\nNitrate (micromole per liter (μM))\nDCF (nanomole carbon per liter per day (nM C d⁻¹))\nDCF_stdev (nanomole carbon per liter per day (nM C d⁻¹))\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_1005611_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_1005611_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_1005611_v1/index.htmlTable https://osprey.bco-dmo.org/dataset/1005611 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_1005611_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_1005611_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_1005611_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_997806_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_997806_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_997806_v1/ public [Depth profiles of quantitative PCR of ammonia-oxidizing archaea and bacteria KM1314] - Depth profiles of quantitative PCR of ammonia-oxidizing archaea and bacteria from R/V Kilo Moana KM1314 in the North Pacific Ocean (Significance of nitrification in shaping planktonic biodiversity in the ocean) This dataset reports depth-resolved abundances of archaeal and β-proteobacterial ammonia monooxygenase (amoA) genes collected at Stations 5, 8, and 13 in the northeastern Pacific Ocean during the R/V Kilo Moana cruise KM1314 in August 2013. One liter of seawater from each depth was filtered onto 0.22 μm Sterivex filters and stored at −80 °C prior to DNA extraction using a modified manual extraction protocol. Archaeal and bacterial amoA gene abundances were quantified by quantitative PCR using primer sets CrenAmoAQ-F/CrenAmoAModR and AmoA1-F/AmoA2-R on a LightCycler platform. Standard curves, amplification procedures, melting curve analyses, and gel electrophoresis verification followed established protocols. These measurements characterize vertical distributions of ammonia-oxidizing microorganisms in the upper 300 m of the water column and support analyses of nitrification activity and microbial community structure in the oligotrophic North Pacific.\n\ncdm_data_type = Other\nVARIABLES:\ntime (Datetime_of_sampling, seconds since 1970-01-01T00:00:00Z)\nlatitude (degrees_north)\nlongitude (degrees_east)\nStation_ID (unitless)\ndepth (Depth_m, m)\nAOA_amoA_Calculated_Abundance (copies per milliliter (copies/mL))\nstdev_AOA (copies per milliliter (copies/mL))\nAOB_amoA_Calculated_Abundance (copies per milliliter (copies/mL))\nstdev_AOB (copies per milliliter (copies/mL))\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_997806_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_997806_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_997806_v1/index.htmlTable https://osprey.bco-dmo.org/dataset/997806 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_997806_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_997806_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_997806_v1
log in [Depth profiles of total prokaryotic cell counts KM1314] - Depth profiles of total prokaryotic cell counts from R/V Kilo Moana KM1314 in the North Pacific Ocean (Seattle to Honolulu, Line P, Station ALOHA), Aug-Sept 2013 (Significance of nitrification in shaping planktonic biodiversity in the ocean) This dataset reports depth-resolved total prokaryotic cell counts collected at Stations 5, 8, and 13 in the northeastern Pacific Ocean during the R/V Kilo Moana cruise KM1314 in August 2013. Seawater samples (2 mL) from multiple depths were preserved with glutaraldehyde (2% final concentration), filtered onto 0.02 μm Anodisc filters, and stained with a Moviol–SYBR Green mixture. Cells were enumerated using epifluorescence microscopy by counting at least 20 randomly selected fields per sample (10–100 cells per field). The data characterize vertical variations in prokaryotic  abundance in the upper 300 m of the water column  in the oligotrophic North Pacific.\n\ncdm_data_type = Other\nVARIABLES:\ntime (Datetime_of_sampling, seconds since 1970-01-01T00:00:00Z)\nlatitude (degrees_north)\nlongitude (degrees_east)\nStation_ID (unitless)\ndepth (m)\nCell_counts (10^5 cells per milliliter (10^5 cells/mL))\nCell_counts_stdev (10^5 cells per milliliter (10^5 cells/mL))\n BCO-DMO bcodmo_dataset_997803_v1
log in [Diadema antillarum transcriptomes] - Transcriptome and viral metagenome data from Diadema antillarum collected at St. Thomas (USVI) and Saba (Caribbean Netherlands) in Apr 2022 (Exploring the role of boundary layer microbial remineralization in flavivirus-host dynamics) A mass mortality of the tropical echinoderm Diadema antillarum (urn:lsid:marinespecies.org:taxname:124332) occurred beginning in January 2022 and continuing to at least July 2022. We sought to identify flaviviruses associated with this condition by performing viral metagenomics and tissue transcriptomics. We prepared these libraries from grossly normal, abnormal and reference specimens collected from St Thomas, U.S. Virgin Islands (USVI), and Saba, Caribbean Netherlands. This dataset includes the accession information for the sequences performed and archived at the National Center for Biotechnology Information (NCBI) Sequence Read Archive. While we were unsuccessful in recovering flaviviruses from tissues of these organisms, we were able to detect additional pathogenic agents (Philaster apodigitiformis; Ciliophora) from transcriptomes.\n\ncdm_data_type = Other\nVARIABLES:\nSRA_accession (unitless)\nSRA_study (unitless)\nbioproject_accession (unitless)\nbiosample_accession (unitless)\nsample_name (unitless)\nlibrary_ID (unitless)\ntitle (unitless)\nlibrary_strategy (unitless)\nlibrary_source (unitless)\nlibrary_selection (unitless)\nlibrary_layout (unitless)\nplatform (unitless)\ninstrument_model (unitless)\ndesign_description (unitless)\nfiletype (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\nDate_specimen_collected (unitless)\n BCO-DMO bcodmo_dataset_985619_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_911008_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_911008_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_911008_v1/ public [Diatom cultures used to generate DNA reference library] - Diatom cultures used to generate DNA reference library from samples collected from sites in Alpena, Michigan and Palm Coast, Florida between July 2021 & 2022. (Collaborative Research: RUI: OCE-BO: Tango in the Mat World: Biogeochemistry of diurnal vertical migration in microbial mats of Lake Huron’s sinkholes) These data are the information for each of the cultures generated from samples collected from three sites in Alpena, Michigan, one site in Monroe, Michigan, and one site in Palm Coast, Florida. Data are for cultures sequenced using Sanger sequencing and include taxonomic identification, location and water parameter information from samples used to develop the cultures, and growth medium.\nEach of these cultures was developed from high-sulfur, low-oxygen environments formed by underwater sinkholes and springs that create extreme habitats populated by microbial mat communities. Our study investigated previously undescribed diatom diversity in these habitats. Sequences from these cultures contribute to tying molecular data to morphologically identified isolates, providing a bridge between these two data types that can be used to improve metabarcoding analyses.\n\ncdm_data_type = Other\nVARIABLES:\nNCBI_Accession (unitless)\nCulture_ID (unitless)\nGenus (unitless)\nSpecies (unitless)\nVariety (unitless)\nCollection_ID (unitless)\nMedia (unitless)\nCollection_Date (Month/Day/Year)\nLocation (unitless)\nSample_Type (unitless)\nLat (degrees_north)\nlongitude (Long, degrees_east)\nTemp (Celsius (°C))\nCond (Microsiemens / centimeter (μS/cm))\nTDS (Grams/liter (g/L))\npH (unitless)\nORP (Millivolts (mV))\nNTU (Nephelometric Turbidity Units (NTU))\nODO (Percentage saturation)\n... (6 more variables)\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_911008_v1/index.htmlTable https://www.bco-dmo.org/dataset/911008 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_911008_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_911008_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_911008_v1
log in [Diatom Pfam differential expression data] - Pfam differential expression data for diatoms from an iron incubation experiment during the PUPCYCLE II R/V Sally Ride cruise within the California Current System in May and June of 2023 (CAREER: An integrated molecular and physiological approach to examining the dynamics of upwelled phytoplankton in current and changing oceans) This dataset includes RNA-seq differential expression results of Pfam domains within diatoms from an iron incubation experiment using upwelled waters sampled in the California Current System (CCS) during the PUPCYCLE II cruise with Chief Scientist Adrian Marchetti. PUPCYCLE II (Phytoplankton response to the UPwelling CYCLE) took place onboard the R/V Sally Ride from May 29th to June 10th, 2023. Freshly upwelled seawater for the incubation experiment was collected within the northern CCS and placed into designated cubitainers. Three cubitainers were immediately harvested for the initial timepoint (T0). The remaining twenty-seven cubitainers were assigned treatments: nine were unamended (Ctrl), nine were amended with 5 nM FeCl2 (+Fe), and nine were amended with 200 nM Desferrioxamine B, a strong iron chelator (DFB). Three cubitainers from each treatment were harvested for each of the three subsequent timepoints: 48 hours (T1), 168 hours (T2), and 264 hours (T3) after incubation. Approximately 2.5 to 4 liters of each sample was harvested for RNA-seq of the natural phytoplankton community, or metatranscriptomics. The dataset provides differential expression results of Pfam domains within diatoms (and which genera they map to), specifically comparing expression levels between +Fe and DFB at T1 and T2. These data include domains that significantly differ in expression between treatments in diatoms, and results were used to compare how strict phototrophs like diatoms transcriptionally respond to iron bioavailability compared to mixotrophs.\n\ncdm_data_type = Other\nVARIABLES:\nTaxa_Group (unitless)\nTimepoint (unitless)\nDE_Comparison (unitless)\nPfam_ID (unitless)\nPfam_Name (unitless)\nPfam_Description (unitless)\nbaseMean (number of normalized reads)\nlog2FoldChange (unitless)\nlfcSE (unitless)\nstat (unitless)\npvalue (unitless)\n... (55 more variables)\n BCO-DMO bcodmo_dataset_1004674_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_986726_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_986726_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_986726_v1/ public [Diel Carbonate Chemistry Measurements from Curaçao (2023 - 2025)] - Diel variability in discrete samples of reef seawater temperature, salinity, dissolved inorganic carbon, pH, and stable carbon isotopes from Willemstad, Curaçao from February 2023 to May 2025 (Collaborative Research: Reconstructions of Southern Caribbean Climate Variability using Contemporaneous and Co-Located Corals and Speleothems) These data capture bihourly variability in the carbonate chemistry parameters of dissolved inorganic carbon (DIC), pH, and seawater stable carbon isotopes (δ13CDIC) measured from discrete bottle samples of seawater collected from Piscadera (Willemstad), Curaçao during 36-hour field campaigns in February 2023, March 2024, November 2024, and May 2025. In-situ water temperature of each sample was captured via Onset HOBO deployable sensors deployed at the sampling location. DIC concentrations, pH (total scale), and sample salinity were measured via coupled coulometric titration, spectrophotometry, and salinometry, respectively in controlled laboratory conditions at 20 degrees Celsius. δ13CDIC was measured via isotope ratio mass spectrometry (IRMS). Monitoring carbon cycling in shallow water coral reef ecosystems on diel-to-seasonal timescales directly informs our understanding of natural and externally-forced changes to reef metabolism, structure, function, and ultimately stability. These data help establish gradients in modern Southern Caribbean coral reef metabolism and were collected by a team of researchers associated with an NSF P4Climate-supported award on Southern Caribbean climate change studies.\n\ncdm_data_type = Other\nVARIABLES:\ntime (Date_time_utc, seconds since 1970-01-01T00:00:00Z)\nSample_Name (unitless)\nInsitu_Temperature_C (degrees Celsius)\nAnalysis_Temperature_C (degrees Celsius)\nSalinity_PSU (unitless)\npH_totalscale (unitless)\nd13C_permil (per mil)\nd13C_Uncertainty_permil (per mil)\nDIC_umol_kg (micromoles per kilogram seawate)\nlatitude (degrees_north)\nlongitude (Site_lon, degrees_east)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_986726_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_986726_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_986726_v1/index.htmlTable https://osprey.bco-dmo.org/dataset/986726 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_986726_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_986726_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_986726_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_963210_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_963210_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_963210_v1/ public [Diel multi 'omics] - Diel multi 'omics data from surface ocean microbial community samples collected during Hawaiʻi Diel Sampling (HaDS) in Kāneʻohe Bay and adjacent offshore waters of O'ahu, Hawai'i from December 2020 to August 2021 (From Signatures of Translational Regulation to Outcomes of Natural Selection: Evolution of Marine Microbes in Changing Environments) This dataset contains biogeochemical data, sampling information, and genetic accession identifiers for the Hawaiʻi Diel Sampling (HaDS) survey in Kāneʻohe Bay and adjacent offshore waters of O'ahu, Hawai'i from December 2020 to August 2021.\n\nStudy description:\n\nHere, we present data from the Hawaiʻi Diel Sampling (HaDS) survey, which represents a high-resolution sampling of surface ocean microbial communities every 1.5 hours for 48 hours across two environments: Kāneʻohe Bay on the windward coast of Oʻahu, Hawaiʻi, and the adjacent offshore. At both the coastal Kāneʻohe Bay station (HP1) and the adjacent offshore station (STO1), we sampled at 33 time-points across 48 hours in August 2021, and subsequently produced 59 metatranscriptomes, 65 short-read metagenomes, 8 long-read metagenomes, and 66 metaepitranscriptomes. We also generated four deeply-sequenced short-read metagenomes from samples collected in the late fall and spring prior to HaDS through routine Kāneʻohe Bay Time-series sampling. The goal of HaDS is to characterize microbial responses to diel changes in ocean biogeochemistry and investigate mechanisms of transcriptional and translation regulation. These data were collected by Dr. A. Murat Eren of the Helmholtz Institute for Functional Marine Biodiversity.\n\ncdm_data_type = Other\nVARIABLES:\nHADS_Universal_Sample_ID (unitless)\nNCBI_BioProject (unitless)\nBioSample_accession (unitless)\nsampleID_MTX (unitless)\nsampleID_TRNA (unitless)\nsampleID_MGX (unitless)\nsampleID_HMW (unitless)\nStation (unitless)\nDate (unitless)\nTime_sampled (hh:mm)\ntime (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\n... (29 more variables)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_963210_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_963210_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_963210_v1/index.htmlTable https://osprey.bco-dmo.org/dataset/963210 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_963210_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_963210_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_963210_v1
log in [Diel Sampling Data] - Coral physiological and biological data collected during diel sampling in outdoor mesocosms in Hawaii from June 2022 to March 2024 (Collaborative Research: Reevaluating calcification response to changes in seawater chemistry by testing the Proton Flux Hypothesis and the Coral Metabolism Model) This dataset contains high-frequency environmental and experimental measurements collected from a long-term mesocosm experiment conducted at the Hawaii Institute of Marine Biology. Data were recorded every hour on the hour from 12 continuous flow-through mesocosms, each approximately 500 liters in volume and stocked with two species of Hawaiian corals (20 colonies per species per mesocosm). The experiment was designed to quantify the effects of multiple seasonal and environmental treatments on coral physiological responses under controlled, yet ecologically realistic, conditions. For each mesocosm, the dataset includes time-stamped observations of experimental identifiers (experiment, treatment, type, season), mesocosm descriptors (tank area, tank depth, time of day, flow rate), and a suite of environmental parameters measured in situ, including total alkalinity (ta), temperature (temp), salinity (sal), dissolved oxygen (o2), and pH on the NBS scale (ph_nbs). Together, these measurements provide an integrated record of physical and biogeochemical dynamics within the mesocosms and enable detailed assessment of coral environmental exposure throughout the experiment. This dataset supports investigations into coral reef resilience, carbonate chemistry variability, and environmental drivers of coral physiological performance under future ocean conditions.\n\ncdm_data_type = Other\nVARIABLES:\ndate (units)\nexperiment (unitless)\ntp (unitless)\nseason (unitless)\ntreatment (unitless)\ntype (unitless)\nmesocosm (unitless)\ntank_area (square meters (m2))\ntank_depth (meters (m))\ntod (unitless)\nflow_rate (liters per second (L sec-1))\nta (micromoles per kilogram (umol kg -1))\ntemp (degrees Celsius)\nsal (parts per thousand (ppt))\no2 (miligrams per liter (mg/L))\nph_nbs (NBS scale)\n BCO-DMO bcodmo_dataset_995155_v1
log in [Dilution experiment treatments and Chl data] - Shipboard Plankton Dilution Experiment Chlorophyll collected at the mid-Atlantic Bight Shelfbreak on R/V Neil Armstrong AR29, R/V Ronald H. Brown RB1904 and R/V Thomas G. Thompson TN368 to the New England Shelfbreak in April 2018 and and May/July 2019 (Collaborative Research:  Shelfbreak Frontal Dynamics: Mechanisms of Upwelling, Net Community Production, and Ecological Implications) As part of the Shelfbreak Productivity Interdisciplinary Research Operation at the Pioneer Array (SPIROPA) Project, twelve grazing experiments utilizing the two-point dilution technique were conducted during each of three research cruises (April of 2018, and May and July of 2019) in the Middle Atlantic Bight to estimate microzooplankton grazing rates and net phytoplankton growth rates. Stations where the dilution experiments were conducted were strategically located in one of three key cross-shelf water mass regimes: (1) at the shelfbreak front, (2) inshore of the front in continental shelf water and (3) offshore of the front in slope water. Grazing incubations were performed on water sampled from the chlorophyll maximum, when present, and conducted on the <200 µm fraction of water (what passed through a 200 µm sieve) in order to include only the microzooplankton grazers and avoid trophic cascades associated with mesozooplankton predators and grazers. The 2 dilution points were 10% and 100% of the < 200 µm sample water. All experiments were run in triplicate for 24 hours and consisted of a dark treatment incubation and a light treatment incubation at a simulated 30% E0.\n\ncdm_data_type = Other\nVARIABLES:\nCRUISE (unitless)\nEXPERIMENT (unitless)\nSTATION (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\nSAMPLE_ID (unitless)\nWATER_MASS (unitless)\ndepth (Depth_m, m)\nDATE (unitless)\nCHLA (µg/L)\nPHEO (µg/L)\nPERC_Chla (%)\nMEAN_Chla (µg/L)\nSD (µg/L)\nSE (µg/L)\nNOTES (units)\nSample_Code (unitless)\n BCO-DMO bcodmo_dataset_961794_v1
log in [Dino Experiment] - Prey Engulfment as the Dominant Pathway of Methylmercury Uptake in a Heterotrophic Dinoflagellate Experiment (Collaborative Research: Transformations and mercury isotopic fractionation of methylmercury by marine phytoplankton) These data include all relevant analyses from methylmercury (MeHg) uptake experiments utilizing the heterotrophic dinoflagellate Oxyrrhis marina (urn:lsid:marinespecies.org:taxname:109902), varying salinity, temperature, and dissolved organic matter (DOM) source – including heat-killed O. marina. The goal of these experiments was to determine whether uptake from the dissolved phase or prey engulfment would contribute more to cellular MeHg accumulation. All experimental treatments were triplicated and had a control with no added MeHg.\n \nThese studies support the following hypotheses: MeHg uptake is higher in the presence of phytoplankton prey, uptake is significantly lower at a low salinity (11 compared to 17 and 34), and temperature (at 12, 15, and 22°C) has no effect on MeHg uptake.\n\ncdm_data_type = Other\nVARIABLES:\nTreatment (unitless)\nTemperature (degrees Celsius)\nSalinity (PSU)\nOM (Micromoles per liter (μmol/L))\nReplicate (unitless)\nHours_of_exposure (hrs)\nDissolved_MeHg_concentration (ng/L)\nFilter_MeHg_concentration (ng/L)\nCell_count (cells/L)\n BCO-DMO bcodmo_dataset_982183_v1
log in [Diopatra COI-haplotype (GenBank)] - Decorator worm Diopatra cuprea mitochondrial locus (COI) sequences from collections in the Gulf of Mexico and eastern United States estuaries from 2009 to 2022 (The genetic legacy of an Asian oyster introduction and its disease-causing parasite) The decorator worm Diopatra cuprea Bosc, 1802 (Annelid; Polychaete; Onuphidae) is an ecosystem engineer within high-salinity estuaries of the southern and eastern United States. A previous study revealed five morphologically cryptic mitochondrial lineages across its broad geographic distribution. We Sanger-sequenced a mitochondrial locus (COI). \n\nThis dataset includes metadata, methods, links to published code and processed data used to generate figures for results publication Sotka et al. (2023, doi:10.3390/biology12040521) titled \"Cryptic mtDNA Diversity of Diopatra cuprea (Onuphidae, Annelida) in the Northwestern Atlantic Ocean.\" This dataset also includes genetic accession identifiers for sequence data contributed to the National Center for Biotechnology Information (NCBI)'s GenBank database.\n\ncdm_data_type = Other\nVARIABLES:\nX_Accession (unitless)\nSampleID (unitless)\nstate (unitless)\npop1 (unitless)\npop2 (unitless)\nhap (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\n BCO-DMO bcodmo_dataset_999053_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_998297_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_998297_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_998297_v1/ public [Diopatra SNPs (SRA)] - Decorator worm Diopatra cuprea single nucleotide polymorphism (SNP) genotypes from collections in the Gulf of Mexico and eastern United States estuaries from 2009 to 2022 (The genetic legacy of an Asian oyster introduction and its disease-causing parasite) The decorator worm Diopatra cuprea Bosc, 1802 (Annelid; Polychaete; Onuphidae) is an ecosystem engineer within high-salinity estuaries of the southern and eastern United States. A previous study revealed five morphologically cryptic mitochondrial lineages across its broad geographic distribution. We genotyped single-nucleotide polymorphisms (SNPs) with RADseq. \n\nThis dataset includes metadata, methods, links to published code and processed data used to generate figures for the results publication Ziegler et al. (2025,doi:10.1007/s00227-025-04613-8)  titled \"Multiple cryptic lineages and restricted gene flow in the decorator worm Diopatra cuprea.\" This dataset also includes genetic accession identifiers for sequence data contributed to the National Center for Biotechnology Information (NCBI)'s Sequence Read Archive (SRA), available under BioProject PRJNA1103840.\n\ncdm_data_type = Other\nVARIABLES:\nyear_collected (unitless)\nsample_id (unitless)\npop_defined (unitless)\ngeographic_location (unitless)\nstate_name (unitless)\nestuary_local (unitless)\nmt_haplotype (unitless)\nmt_hap_group (unitless)\nmt_hap_subgroup (unitless)\ncollector (unitless)\nSRA_Run (unitless)\nSRA_Study (unitless)\nversion (unitless)\nBioSample (unitless)\nlatitude (degrees_north)\nlongitude (Site_lon, degrees_east)\nsites_collector (unitless)\n... (17 more variables)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_998297_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_998297_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_998297_v1/index.htmlTable https://osprey.bco-dmo.org/dataset/998297 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_998297_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_998297_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_998297_v1
log in [Discrete bottle data from Hydrostation S] - Discrete bottle data from Hydrostation S in the Sargasso Sea from January 1955 through December 2023 (The Panulirus Hydrographic Stations (Hydrostation S)) Data presented here are discrete bottle samples from the Hydrostation S (or Panulirus) time series site located 20 km SE of Bermuda (32°10'N, 64°30'W) in the Sargasso Sea for January 1955 (cruise #9) through December 2023 (cruise #1465). Measurements were collected at near biweekly intervals where possible depending on weather and ship availability. Prior to the arrival of Weatherbird I in 1983, station occupation during winter months was limited due to the sea-going capabilities of the former vessels. The standard sample parameter list has been mostly consistent for the full time-series record  and includes temperature, salinity, and dissolved oxygen. Since October 1988 (cruise #643), data and samples have been collected using a SeaBird 911+ CTD and integrated Niskin rosette system. The largest data gap of almost one year was due to the loss of all the Niskin bottles and reversing thermometers following a break in the hydro wire on station #463 (April 1979).\n\ncdm_data_type = Other\nVARIABLES:\ntime (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\ndecimal_year (dimensionless)\nBottle_ID (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\nVessel (unitless)\nCruise_num (unitless)\nCast_num (unitless)\nBottle_num (unitless)\nQF_Bottle (unitless)\ndepth (m)\nQF1_Depth (unitless)\nCTD_Pressure (dbar)\nQF2_CTD_press (unitless)\nTemperature (degrees Celsius ( °C))\nQF3_Temp (unitless)\nCTD_Salinity (dimensionless)\n... (9 more variables)\n BCO-DMO bcodmo_dataset_859990_v4
log in [Discrete bottle data from Hydrostation S] - Discrete bottle data from Hydrostation S in the Sargasso Sea from January 1955 through December 2023 (The Panulirus Hydrographic Stations (Hydrostation S)) Data presented here are discrete bottle samples from the Hydrostation S (or Panulirus) time series site located 20 km SE of Bermuda (32°10'N, 64°30'W) in the Sargasso Sea for January 1955 (cruise #9) through December 2023 (cruise #1465). Measurements were collected at near biweekly intervals where possible depending on weather and ship availability. Prior to the arrival of Weatherbird I in 1983, station occupation during winter months was limited due to the sea-going capabilities of the former vessels. The standard sample parameter list has been mostly consistent for the full time-series record  and includes temperature, salinity, and dissolved oxygen. Since October 1988 (cruise #643), data and samples have been collected using a SeaBird 911+ CTD and integrated Niskin rosette system. The largest data gap of almost one year was due to the loss of all the Niskin bottles and reversing thermometers following a break in the hydro wire on station #463 (April 1979).\n\ncdm_data_type = Other\nVARIABLES:\ntime (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\ndecimal_year (dimensionless)\nBottle_ID (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\nVessel (unitless)\nCruise_num (unitless)\nCast_num (unitless)\nBottle_num (unitless)\nQF_Bottle (unitless)\ndepth (m)\nQF_Depth (unitless)\nCTD_Pressure (dbar)\nQF_CTD_press (unitless)\nTemperature (degrees Celsius ( °C))\nQF_Temp (unitless)\nCTD_Salinity (dimensionless)\n... (9 more variables)\n BCO-DMO bcodmo_dataset_859990_v5
log in [Discrete bottle data from Hydrostation S] - Discrete bottle data from Hydrostation S in the Sargasso Sea from January 1955 through December 2024 (The Panulirus Hydrographic Stations (Hydrostation S)) Data presented here are discrete bottle samples from the Hydrostation S (or Panulirus) time series site located 20 km SE of Bermuda (32°10'N, 64°30'W) in the Sargasso Sea for January 1955 (cruise #9) through December 2024 (cruise #1490). Measurements were collected at near biweekly intervals where possible depending on weather and ship availability. Prior to the arrival of Weatherbird I in 1983, station occupation during winter months was limited due to the sea-going capabilities of the former vessels. The standard sample parameter list has been mostly consistent for the full time-series record and includes temperature, salinity, and dissolved oxygen. Since October 1988 (cruise #643), data and samples have been collected using a SeaBird 911+ CTD and integrated Niskin rosette system. The largest data gap of almost one year was due to the loss of all the Niskin bottles and reversing thermometers following a break in the hydro wire on station #463 (April 1979).\n\ncdm_data_type = Other\nVARIABLES:\ntime (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\ndecimal_year (dimensionless)\nBottle_ID (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\nVessel (unitless)\nCruise_num (unitless)\nCast_num (unitless)\nBottle_num (unitless)\nQF_Bottle (unitless)\ndepth (m)\nQF_Depth (unitless)\nCTD_Pressure (dbar)\nQF_CTD_press (unitless)\nTemperature (degrees Celsius ( °C))\nQF_Temp (unitless)\nCTD_Salinity (dimensionless)\n... (9 more variables)\n BCO-DMO bcodmo_dataset_859990_v6
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_859990_v7 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_859990_v7.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_859990_v7/ public [Discrete bottle data from Hydrostation S] - Discrete bottle data from Hydrostation S in the Sargasso Sea from January 1955 through June 2025 (The Panulirus Hydrographic Stations (Hydrostation S)) Data presented here are discrete bottle samples from the Hydrostation S (or Panulirus) time series site located 20 km SE of Bermuda (32°10'N, 64°30'W) in the Sargasso Sea for January 1955 (cruise #60009) through December 2024 (cruise #61501). Measurements were collected at near biweekly intervals where possible depending on weather and ship availability. Prior to the arrival of Weatherbird I in 1983, station occupation during winter months was limited due to the sea-going capabilities of the former vessels. The standard sample parameter list has been mostly consistent for the full time-series record and includes temperature, salinity, and dissolved oxygen. Since October 1988 (cruise #60643), data and samples have been collected using a SeaBird 911+ CTD and integrated Niskin rosette system. The largest data gap of almost one year was due to the loss of all the Niskin bottles and reversing thermometers following a break in the hydro wire on station #463 (April 1979).\n\ncdm_data_type = Other\nVARIABLES:\ntime (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\ndecimal_year (dimensionless)\nBottle_ID (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\nVessel (unitless)\nCruise_num (unitless)\nCast_num (unitless)\nBottle_num (unitless)\nQF_Bottle (unitless)\ndepth (m)\nQF_Depth (unitless)\nCTD_Pressure (dbar)\nQF_CTD_press (unitless)\nTemperature (degrees Celsius ( °C))\nQF_Temp (unitless)\nCTD_Salinity (dimensionless)\n... (9 more variables)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_859990_v7_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_859990_v7_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_859990_v7/index.htmlTable https://osprey.bco-dmo.org/dataset/859990 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_859990_v7.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_859990_v7&showErrors=false&email= BCO-DMO bcodmo_dataset_859990_v7
log in [Discrete bottle data from Hydrostation S] - Discrete bottle data from Hydrostation S in the Sargasso Sea from January 1955 through June 2025 (The Panulirus Hydrographic Stations (Hydrostation S)) Data presented here are discrete bottle samples from the Hydrostation S (or Panulirus) time series site located 20 km SE of Bermuda (32°10'N, 64°30'W) in the Sargasso Sea for January 1955 (cruise #60009) through June 2025 (cruise #61501). Measurements were collected at near biweekly intervals where possible depending on weather and ship availability. Prior to the arrival of Weatherbird I in 1983, station occupation during winter months was limited due to the sea-going capabilities of the former vessels. The standard sample parameter list has been mostly consistent for the full time-series record and includes temperature, salinity, and dissolved oxygen. Since October 1988 (cruise #60643), data and samples have been collected using a SeaBird 911+ CTD and integrated Niskin rosette system. The largest data gap of almost one year was due to the loss of all the Niskin bottles and reversing thermometers following a break in the hydro wire on station #463 (April 1979).\n\ncdm_data_type = Other\nVARIABLES:\ntime (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\ndecimal_year (dimensionless)\nBottle_ID (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\nVessel (unitless)\nCruise_num (unitless)\nCast_num (unitless)\nBottle_num (unitless)\nQF_Bottle (unitless)\ndepth (m)\nQF_Depth (unitless)\nCTD_Pressure (dbar)\nQF_CTD_press (unitless)\nTemperature (degrees Celsius ( °C))\nQF_Temp (unitless)\nCTD_Salinity (dimensionless)\n... (9 more variables)\n BCO-DMO bcodmo_dataset_859990_v8
log in [Discrete Carbonate Data] -  (Drivers of ocean acidification in a temperate urbanized estuary undergoing nutrient loading reductions) This dataset contains discrete carbonate data collected as part of the study described below. See the \"Related Publications\" sections for more datasets from this study.\n\nStudy description:\n\nThe increase in atmospheric carbon dioxide (CO2) over the last 200 years has largely been mitigated by the ocean's function as a carbon sink. However, this continuous absorption of CO2 by seawater triggers ocean acidification (OA), a process in which water becomes more acidic and more depleted in carbonate ions that are essential for calcifiers. OA is well-studied in open ocean environments; however, understanding the unique manifestation of OA in coastal ecosystems presents myriad challenges due to considerable natural variability resulting from concurrent and sometimes opposing coastal processes--e.g. eutrophication, changing hydrological conditions, heterogeneous biological activity, and complex water mass mixing. This study analyzed high temporal resolution pH data collected during 2022 and 2023 from Narragansett Bay, RI--a mid-sized, urban estuary that since 2005 has undergone a 50% reduction in nitrogen loading\\textemdash with weekly, discrete bottle samples to verify sensor data. We used autonomous data for pH, temperature, salinity, and dissolved oxygen from 4 sensors in Narragansett Bay. The autononous data spanned over a year from 2022 to mid-2023 and had temporal resolutions between 10 and 15 minutes. The data have been subjected to QA/QC protocols, such that all pH measurements are final and quality controlled. As well, pH values normalized to 15°C (using PyCO2SYS) are included. All pH values are in total scale.\n\nAdditionally, data from discrete samples have been provided. Discrete samples were taken weekly at the Narragansett Bay Long Term Phytoplankton Time Series site and monthly from Greenwich Bay, collocated with 2 of the sensors. Discrete data were analyzed in lab for dissolved inorganic carbon and total alkalinity, and include in situ temperature and salinity.\n\ncdm_data_type = Other\nVARIABLES:\nSample (unitless)\ntime (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\nLocation (unitless)\n... (10 more variables)\n BCO-DMO bcodmo_dataset_961940_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_985985_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_985985_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_985985_v1/ public [Discrete NCP and GPP on AR29, RB1904 and TN368] - Discrete Net Community and Gross Primary Production Rates data on the US Northeastern Shelf in the SPIROPA project during spring and summer 2018 and 2019 (Collaborative Research:  Shelfbreak Frontal Dynamics: Mechanisms of Upwelling, Net Community Production, and Ecological Implications) Triple oxygen isotopes and O2/Ar ratios were were measured on discrete bottle samples which were collected from surface Niskins from the CTD. The samples were collected at sea into poisoned, pre-evacuated bottles and then measured on an isotope ratio mass spectrometer. The gas data was then used to calculate mixed layer depth integrated rates of gross primary production (in oxygen units = gross oxygen production) and net community production. The gas data itself is posted on BCO-DMO in the bottle CTD tables associated with this cruise. This data set contains the rates of production calculated from the gas data for those who simply want the rates rather than the gas data.  This data set has rates calculated from samples collected from cruises on the US Northeastern Shelf taking place in Spring 2018 (Ar29), spring 2019 (RB1904) and summer 2019 (TN368). There is no depth associated with each rate since the exact depth the water came from does not matter - the rate represents the production integrated over the mixed layer in all cases and the depth of collection is not the same as the mixed layer depth. CTD data posted on BCO-DMO can be used to determine depths if desired and/or mixed layer depths.\n\ncdm_data_type = Other\nVARIABLES:\nCruise (unitless)\ntime (Date_time, seconds since 1970-01-01T00:00:00Z)\nlatitude (degrees_north)\nlongitude (degrees_east)\nGOP (mmol O2/m2/day)\nNCP (mmol O2/m2/day)\nNCP_GOP (unitless)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_985985_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_985985_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_985985_v1/index.htmlTable https://osprey.bco-dmo.org/dataset/985985 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_985985_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_985985_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_985985_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_904722_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_904722_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_904722_v1/ public [Discrete sample measurements of dissolved oxygen, dissolved inorganic carbon, and total alkalinity] - Supplementary discrete sample measurements of dissolved oxygen, dissolved inorganic carbon, and total alkalinity from Ocean Observatories Initiative (OOI) cruises to the Irminger Sea Array 2018-2019 (Collaborative Research: The Annual Cycle of the Biological Carbon Pump in the Subpolar North Atlantic) This dataset contains discrete sample measurements of dissolved oxygen, dissolved inorganic carbon, and total alkalinity collected during yearly Ocean Observatories Initiative (OOI) turn-around cruises to maintain the Irminger Sea Array (60.46°N, 38.44°W). Samples in this dataset were collected as part of an ancillary research project that joined the OOI turn-around cruises in June 2018 and August 2019 as part of ongoing efforts to enable OOI biogeochemical sensor data to be used to address scientific questions about ocean carbon cycling and the biological carbon pump. \n\nDiscrete sample data collected and analyzed by this research team complement data collected by the OOI program as part of routine turn-around cruise activities. We provide the supplementary measurements made by our team alongside salinity- and oxygen- calibrated Conductivity Temperature Depth (CTD) and oxygen sensor data from the depths where Niskin bottles were closed for sample collection and additional discrete oxygen measurements made by the OOI team.\n\ncdm_data_type = Other\nVARIABLES:\nCruise (unitless)\nCast (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\ntime (Date_utc, seconds since 1970-01-01T00:00:00Z)\nNiskin_ID (unitless)\nCTDPRES (dbar)\nCTDTEMP_ITS90 (degrees C)\nCTDTEMP_flag (unitless)\nCTDSAL_PSS78 (unitless)\nCTDSAL_flag (unitless)\nCTDOXYCUR (volts)\nCTDOXYCUR_flag (unitless)\nCTDOXY (umol/kg)\nCTDOXY_flag (unitless)\nAAOXYCUR (volts)\n... (14 more variables)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_904722_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_904722_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_904722_v1/index.htmlTable https://www.bco-dmo.org/dataset/904722 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_904722_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_904722_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_904722_v1
log in [Discrete sample measurements] - Discrete sample measurements of dissolved oxygen, dissolved inorganic carbon, and total alkalinity from US Overturning in the Subpolar North Atlantic Program (OSNAP) cruises in 2020 and 2022 (AR45 and AR69-03) (Collaborative Research: Gases in the Overturning and Horizontal circulation of the Subpolar North Atlantic Program (GOHSNAP)) This dataset contains discrete sample measurements of dissolved oxygen, dissolved inorganic carbon, and total alkalinity collected during cruises in 2020 (AR45) and 2022 (AR69-03) to recover and redeploy Overturning in the Subpolar North Atlantic Program (OSNAP) moorings in the Labrador Sea and western Irminger Sea. Samples in this dataset were collected as part of Gases in the Overturning and Horizontal circulation of the Subpolar North Atlantic Program (GOHSNAP), which has added moored oxygen sensors to the OSNAP mooring array, beginning in 2020. We provide the discrete sample measurements alongside salinity- and oxygen- calibrated Conductivity Temperature Depth (CTD) and oxygen sensor data from the depths where Niskin bottles were closed for sample collection.\n\ncdm_data_type = Other\nVARIABLES:\nCruise_ID (unitless)\nStation_ID (unitless)\nNiskin_ID (unitless)\nYear_UTC (unitless)\nMonth_UTC (unitless)\nDay_UTC (unitless)\nISO_Date_UTC (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\nCTDPRES (dbar)\ndepth (m)\nCTDTEMP_ITS90 (degrees Celsius)\nCTDTEMP_flag (unitless)\nCTDSAL_PSS78 (unitless)\nCTDSAL_flag (unitless)\nCTDOXY (umol/kg)\nCTDOXY_flag (unitless)\nOxygen1 (umol/kg)\nOxygen1_flag (unitless)\nOxygen2 (umol/kg)\n... (7 more variables)\n BCO-DMO bcodmo_dataset_934025_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_944277_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_944277_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_944277_v1/ public [Dissolved Inorganic Nutrients] - Dissolved inorganic nutrients from two microcosm incubation experiments conducted on sample water collected from West Bay of the Neuse River Estuary, North Carolina USA in 2021 and 2022 (Bacteria as Biosensors of Carbon and Energy Flow in Marine Ecosystems: Quantitative Links Between Substrates, Transcripts, and Metabolism) Dissolved inorganic nutrients were collected for two microcosm incubation experiments. Sample water originated from West Bay of the Neuse River Estuary, North Carolina USA in 2021 and 2022. The microcosms were 60 liters, conducted in biological duplicates under three light treatment incubations: 12-hour light-dark cycle of photosynthetically active radiation (PAR), 12-hour light-dark cycle of UV-B radiation, or darkness. Samples were collected from the microcosms in duplicate every few days for over one month to examine how light and the resulting microbial activity altered the concentrations of dissolved inorganic nutrients (total dissolved nitrate and nitrite or NOx, ammonium or NH4, and soluble reactive phosphorus or SRP) over time. Concentrations of these inorganic nutrients were quantified via colorimetric assays on a Genesys 10S UV-Vis spectrophotometer or Tecan Infinite 200Pro plate reader.\n\ncdm_data_type = Other\nVARIABLES:\nExperiment (unitless)\nDate_Start (unitless)\nIncubation_Day (days)\nTreatment (unitless)\nTank_ID (unitless)\nReplicate (unitless)\nNOx (micromolar (uM))\nNH4 (micromolar (uM))\nSRP (micromolar (uM))\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_944277_v1/index.htmlTable https://www.bco-dmo.org/dataset/944277 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_944277_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_944277_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_944277_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_926873_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_926873_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_926873_v1/ public [Dissolved Mercury Speciation in the California Current System] - Dissolved mercury (Hg) speciation in the California Current System from samples collected on R/V Roger Revelle cruise RR2105 in July to August 2021 (California Current Ecosystem Long Term Ecological Research site) Monomethylmercury (MMHg) is a neurotoxicant that biomagnifies in marine food webs, reaching high concentrations in apex predators. To predict changes in oceanic MMHg concentrations, it is important to quantify its sources and sinks. Here, we study mercury speciation in the California Current System through cruise sampling and modeling. Previous work in the California Current System has found that upwelling impacts mercury biogeochemistry by transporting mercury-enriched deep waters to productive surface waters. These upwelled waters originate within the California Undercurrent water mass and are subsequently advected as a surface water parcel to the California Current. By comparing the two major water masses, we find that the California Undercurrent contains elevated dissolved total mercury (Hg) and Dimethylmercury (DMHg) concentrations by 57% and 60%, respectively, compared to the California Current. We explain that these differences result from losses during advection, specifically scavenging and DMHg demethylation. We calculate a net DMHg demethylation rate constant of 1.8 ± 0.9% per day; and build an empirically constrained mass budget model to demonstrate that DMHg demethylation accounts for 59% of surface MMHg sources. These findings illustrate that DMHg is a significant source of MMHg in this region, challenging the current understanding of the major sources of marine MMHg. These data are associated with Adams et al., 2024 (doi: 10.21203/rs.3.rs-3909481/v1).\n\ncdm_data_type = Other\nVARIABLES:\nWater_Mass (unitless)\nStation_Name (unitless)\nISO_DateTime_PDT (unitless)\ntime (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\nLatitude (degrees_north)\nlongitude (degrees_east)\nTrace_Metal_Cast_Num (unitless)\ndepth (Depth_m, m)\nTemperature_C (degrees Celsius)\nSalinity_PSU (practical salinity units (PSU))\nOxygen_umol_kg (micromole per kilogram (umol/kg))\nDensity_kg_m3 (kilogram per cubed meter (kg/m^3))\n... (8 more variables)\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_926873_v1/index.htmlTable https://www.bco-dmo.org/dataset/926873 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_926873_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_926873_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_926873_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_964606_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_964606_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_964606_v1/ public [Dissolved Nutrient Analyses for CTD water rosette and AUV Sentry/SUPR Samples] - Dissolved Nutrient Analyses for CTD water rosette samples and AUV Sentry/SUPR samples in the hydrothermal plumes emanating from the Main Endeavor region of the Juan de Fuca Ridge collected from R/V Atlantis cruise AT50-15 from Aug 28 to Sep 15 2023 (Collaborative Research: Hydrothermal Estuaries: What Sets the Hydrothermal Flux of Fe and Mn to the Oceans?) These data include dissolved concentrations of silicate, nitrate, nitrite, ammonium, and ortho-phosphate in water samples collected from within and around hydrothermal plumes emanating from the vent systems in the Main Endeavor region of the Juan de Fuca Ridge. They were collected during a cruise on R/V Atlantis AT50-15 from August 28th to September 15th 2023. Samples were collected in two different ways with two different instruments and these methods are identified in the data file. One method collected whole water samples as vertical profiles with a trace metal grade water rosette where the samples were filtered on deck through 0.2 um Sterivex PES filters. The other method collected water samples with AUV Sentry equipped with a SUPR in situ sample collection system and this system filtered water in situ at the time of collection through 0.2 um SUPOR PES filters; these samples were collected in horizontal surveys as the AUV flew a gridded survey through plume depths. The AUV samples were collected while the AUV was in motion and since they were also filtering for particulate material for separate analyses, the associated water samples are an integrated mixture of waters from segments of the survey line and not point samples. The coverage for either modes of collection are variable as we were targeting hydrothermal plume anomalies. The purpose of this data is to provide environmental context to plume particulate hydrothermal chemistry e.g. phosphate adsorption and as a check on the proper function of both sampling systems, i.e. anomalous nutrient data can be an indication of misfires or leaks when compared to expected nutrient concentrations, notes of this potential are including the data set in the nutrient flag column. This data will be useful to compare to future datasets concerning trace metals from the Hydrothermal Estuaries project. Users interested in nutrient concentrations in a hydrothermal plume environment may find this useful. These samples were analyzed at the UC San Diego Oceanographic Data Facility using standard methods for dissolved nutrients (silicate, orthophosphate, nitrate, nitrite, and ammonium) in seawater. John Breier was responsible for the nutrient samples collected with AUV Sentry and the SUPR sampler. Jessica Fitzsimmons was responsible for samples collected with the trace metal rosette. These samples were collected as part of the Hydrothermal Estuaries study led by Chris German.\n\ncdm_data_type = Other\nVARIABLES:\nCRUISE_ID (unitless)\nCRUISE_NAME (unitless)\n... (35 more variables)\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_964606_v1/index.htmlTable https://osprey.bco-dmo.org/dataset/964606 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_964606_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_964606_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_964606_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_985357_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_985357_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_985357_v1/ public [Dissolved Nutrients] - Dissolved inorganic nutrient concentrations in seawater samples collected from Project \"DaVINCi\" incubations in the Gulf of Naples, Italy from April to May 2022 (Shunt or shuttle? Nutrient-driven biogeochemical consequences of diatom host-virus interactions) Dissolved inorganic nutrient concentrations were measured in seawater samples collected from nutrient amendment experiments conducted on surface water collected at the Long-Term Ecological Monitoring Station, MareChiara, in the Gulf of Naples, Italy, between April 20 and May 19, 2022.  These incubations were part of a field study on \"Diatom Virus Infection of Natural Communities\" (DaVINCi) and were aimed at understanding the role of silicon limitation in driving diatom viral infection.\n\ncdm_data_type = Other\nVARIABLES:\nDate (unitless)\nIncubation (unitless)\nBag (unitless)\nTreatment (unitless)\nReplicate (unitless)\nIncubation_Timepoint_d (day)\nNH4 (millimoles per cubic meter (mmol m-3))\nPO4 (millimoles per cubic meter (mmol m-3))\nNO2 (millimoles per cubic meter (mmol m-3))\nNO3 (millimoles per cubic meter (mmol m-3))\nSiO4 (millimoles per cubic meter (mmol m-3))\nN_N_N (millimoles per cubic meter (mmol m-3))\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_985357_v1/index.htmlTable https://osprey.bco-dmo.org/dataset/985357 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_985357_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_985357_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_985357_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_946056_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_946056_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_946056_v1/ public [Dissolved organic carbon lability] - Water column dissolved organic carbon (DOC) reactivity along the York River Estuary (YRE) from surface samples collected in October 2018 and February, April, and July 2019 (Alteration of carbon fluxes by intense phytoplankton blooms in a microtidal estuary) Data were collected to evaluate spatiotemporal variations in, and environmental controls on, water column dissolved organic carbon (DOC) reactivity along the York River Estuary (YRE), a temperate microtidal sub-estuary of the Chesapeake Bay in southeastern Virginia. Data were also collected as part of the larger, NSF-funded project (NSF BIO-OCE #1737258) entitled \"Alteration of carbon fluxes by intense phytoplankton blooms in a micro tidal estuary.\" Surface water column samples were collected in October 2018 and February, April, and July 2019 from three locations along the YRE estuarine salinity gradient. Filtered water was inoculated and incubated in the dark at in situ York River water temperatures, and sub-sampled at the onset of the experiment (T0), one day following onset (T1), and weekly for 28 days thereafter (T7, T14, T21, T28). Samples were analyzed for DOC concentrations.\n\ncdm_data_type = Other\nVARIABLES:\nSite (unitless)\nlatitude (degrees_north)\nlongitude (Long, degrees_east)\nMonth_Collected (unitless)\nDate_Sampled (unitless)\nTimepoint_days (days)\nDOC_uM (micromolar (umol/l))\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_946056_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_946056_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_946056_v1/index.htmlTable https://osprey.bco-dmo.org/dataset/946056 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_946056_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_946056_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_946056_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_908475_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_908475_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_908475_v1/ public [Dissolved Organic Carbon] - Bulk dissolved organic carbon (DOC) from two microcosm incubation experiments conducted under three light treatments using water originating from West Bay of the Neuse River Estuary, North Carolina USA in 2021 and 2022 (Bacteria as Biosensors of Carbon and Energy Flow in Marine Ecosystems: Quantitative Links Between Substrates, Transcripts, and Metabolism) Bulk dissolved organic carbon (DOC) was collected from two microcosm incubation experiments. Sample water originated from West Bay of the Neuse River Estuary, North Carolina USA in 2021 and 2022. The microcosms were 60 liters, conducted in biological duplicates under three light treatment incubations: 12-hour light-dark cycle of photosynthetically active radiation (PAR), 12-hour light-dark cycle of UV-B radiation, or darkness. Samples were collected from the microcosms in duplicate every few days for over one month to examine how light and the resulting microbial activity altered the DOC pool over time.\n\ncdm_data_type = Other\nVARIABLES:\nExperiment_Name (unitless)\nStart_date (unitless)\nTreatment (unitless)\nIncubation_day (days)\nTank_ID (unitless)\nDOC_uM (micromoles per liter (umol L-1))\nDOC_Technical_sd (micromoles per liter (umol L-1))\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_908475_v1/index.htmlTable https://www.bco-dmo.org/dataset/908475 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_908475_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_908475_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_908475_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_984974_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_984974_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_984974_v1/ public [Dissolved Organic Carbon] - Dissolved organic carbon concentrations in seawater samples collected from Project \"DaVINCi\" incubations in the Gulf of Naples, Italy from April to May 2022 (Shunt or shuttle? Nutrient-driven biogeochemical consequences of diatom host-virus interactions) Dissolved organic carbon concentrations were measured in 0.2-micrometer-filtered seawater collected from nutrient amendment incubation experiments conducted on surface water collected at the Long-Term Ecological Monitoring Station, MareChiara, in the Gulf of Naples, Italy, between April 20 and May 19, 2022. These incubations were part of a field study on \"Diatom Virus Infection of Natural Communities\" (DaVINCi) and were aimed at understanding the role of silicon limitation in driving diatom viral infection and lysis.\n\ncdm_data_type = Other\nVARIABLES:\nDate (unitless)\nIncubation (unitless)\nBag (unitless)\nTreatment (unitless)\nReplicate (unitless)\nIncubation_Timepoint_d (day)\nDOC (millimoles per cubic meter (mmol m-3))\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_984974_v1/index.htmlTable https://osprey.bco-dmo.org/dataset/984974 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_984974_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_984974_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_984974_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_923065_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_923065_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_923065_v1/ public [Dissolved organic Fe-binding ligand data from the FRidge (GA13) expedition] - Dissolved organic Fe-binding ligand data from the FRidge (GA13) expedition on RRS James Cook (cruise JC156) from December 2017 to February 2018 (Are strong ligands and dissolved iron tightly coupled in hydrothermal systems?) Samples were collected as part of the 2017-2018 U.K. GEOTRACES GA13 section cruise along the Mid-Atlantic Ridge (Cruise JC156 on RRS James Cook). Water samples from 11 venting and near venting locations were collected using a Seabird 911 conductivity, temperature, and depth (CTD) titanium rosette using conducting Kevlar wire with an oxidation-reduction potential (ORP) sensor to detect plumes. Teflon coated OTE (Ocean Test Equipment) bottles were pressurized to approximately 7 psi with 0.2 μm filtered air using an oil-free compressor. A Sartobran 300 (Sartorius) filter capsule (0.2 μm) was used to collect filtered seawater samples into clean 250 mL LDPE sample bottles. Bottles and caps were rinsed 3 times with the filtered sample before being filled. Samples were stored frozen at -20°C for organic iron-binding ligand characterization by voltammetry using competitive ligand exchange adsorptive cathodic stripping voltammetry. All dissolved organic iron-binding ligand samples were measured with a BASi controlled growth mercury electrode with an Ag/AgCl¬- reference electrode and platinum auxiliary electrode (Bioanalytical Systems Incorporated) using previously established methods for forward titrations (Buck et al., 2015, 2018; Bundy et al., 2018; Abualhaija and van den Berg, 2014; Hawkes et al., 2013 (Planet. Sci. Lett.)). Reverse titrations (Hawkes et al., 2013 (Anal. Chim. Acta)) were completed on 10 samples from Broken Spur, and TAG hydrothermal vent fields with dissolved iron concentrations between 19.01-90.25 nM.\n\ncdm_data_type = Other\nVARIABLES:\nCruise (unitless)\nlatitude (Latitude_deg_n, degrees_north)\nlongitude (Longitude_deg_e, degrees_east)\nStation (unitless)\nGeotraces_ID (unitless)\ndepth (Depth_m, m)\ndFe_nM (nanomoles per liter (nmol L-1))\nL1_nM (nanomoles per liter (nmol L-1))\nL1_err_nM (nanomoles per liter (nmol L-1))\nL2_nM (nanomoles per liter (nmol L-1))\nL2_err_nM (nanomoles per liter (nmol L-1))\nL3_nM (nanomoles per liter (nmol L-1))\n... (9 more variables)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_923065_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_923065_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_923065_v1/index.htmlTable https://www.bco-dmo.org/dataset/923065 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_923065_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_923065_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_923065_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_927046_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_927046_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_927046_v1/ public [Dissolved Organic Matter Sulfur and Carbon Analysis] - Dissolved organic matter sulfur and carbon analysis of samples collected between 2010 and 2021 from various locations globally (Resolving sources of marine DOM via novel sulfur isotope analyses) The following dataset of SPE (solid phase extracted) DOM (dissolved organic matter) accompanies Phillips et al. 2022 (doi: 10.1073/pnas.2209152119). Our project sought to address the question of where long-lived organic molecules that are dissolved in the oceans come from, in particular molecules containing sulfur (S). Our approach was to measure the relative abundance of two stable sulfur isotopes (S-32 and S-34) in these molecules, which is technically very difficult due to the presence of million-fold higher sulfate ions in seawater. We developed a new preparatory chemistry to adequately isolate these organic molecules, and a new elemental analyzer/mass spectrometry method to measure their isotope abundances with high precision at trace levels. We conducted these S isotope measurements on 100 samples of dissolved organic matter (DOM) that had been previously collected by our collaborators from around the world (Northeast Pacific oxygen minimum zone, Northeast Pacific Shelf, North Pacific Gyre, San Pedro Basin, Caeté Estuary, South Pacific Gyre, and the North Sea). We also collected 2 dozen new samples from oceanographic stations in the North Pacific Gyre (Hawaii Ocean Timeseries) and North Atlantic Gyre (Bermuda Atlantic Time Series). The dataset includes 1) sample information such as sample ID, sample location, station name, collection depth (ranging from 0 to 4800 meters), latitude and longitude, month and year sampled (ranging from 2010 to 2021); 2) elemental analysis such as sulfur isotope values (δ34S), carbon (C) isotope values (δ13C), and C:S molar ratios; 3) physical parameters from collaborators' CTD analysis, such as oxygen, salinity, fluorescence, and temperature; and 4) chemical data from collaborators such as dissolved nitrate, phosphate, silicate, and calculated DOC (dissolved organic carbon) and DOS (dissolved organic sulfur) concentrations. Our data show that DOM molecules have (34S/32S) isotope ratios that are entirely consistent with being formed from ocean sulfate, and inconsistent with being formed by reactions of hydrogen sulfide in anoxic porewaters. This result negates one of the leading hypotheses for how long-lived DOM forms, i.e. by reactions in anoxic sediments. Instead, this sharpens our focus on understanding how relatively short-lived biomolecules in the surface ocean are transformed into long-lived DOM molecules.\n\ncdm_data_type = Other\nVARIABLES:\nSample_ID (unitless)\nSample_Location (unitless)\nStation (unitless)\n... (23 more variables)\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_927046_v1/index.htmlTable https://www.bco-dmo.org/dataset/927046 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_927046_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_927046_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_927046_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_998868_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_998868_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_998868_v1/ public [Dissolved Oxygen - Irminger Sea] - Calibrated dissolved oxygen time series at the Ocean Observatories Initiative’s Irminger Sea Array from 2014 to 2022 (CAREER: Constraining the high-latitude ocean carbon cycle: Leveraging the Ocean Observatories Initiative (OOI) Global Arrays as marine biogeochemical time series) This dataset contains calibrated, full water-column dissolved oxygen time series collected at the Ocean Observations Initiative (OOI) Global Irminger Sea Array (59.97°N, 39.51°W) from September 2014 to July 2022 from profiling and fixed-depth assets. Optodes on the wire-following profilers (WFP) were calibrated using the “deep isotherm approach”, which assumes that oxygen remains stable on a deep isotherm over time. We used bottle-calibrated profiles from turn-around cruises to determine the oxygen concentration on a deep, stable isotherm. Oxygen optodes on the WFP were then calibrated to this concentration as they passed through this isotherm during each profile. This calibration was then passed on to oxygen data collected by gliders transiting the array. Starting in 2018, we include surface mixed-layer dissolved oxygen data that were calibrated based on turn-around cruise measurements at the beginning and end of each sensor deployment. This dataset contains calibrated oxygen data from surface moorings, wire-following profilers, and gliders at their original sampling intervals as well as a blended product that combines oxygen products from all calibrated assets. An overview of the data collection and post-processing required for oxygen optode calibration is included. This dataset is presented for end-users that require field-calibrated oxygen data products that are currently not provided by OOI through its standard data dissemination.\n\ncdm_data_type = Other\nVARIABLES:\ntime (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\nprofile_number (unitless)\nlongitude (degrees_east)\nlatitude (degrees_north)\nprs_dbar (decibar (db))\nDO_umolkg (μmol/kg)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_998868_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_998868_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_998868_v1/index.htmlTable https://osprey.bco-dmo.org/dataset/998868 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_998868_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_998868_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_998868_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_942928_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_942928_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_942928_v1/ public [Dissolved trace metals and macronutrients from a 2014 IRNBRU cruise GoFlo Data] - Dissolved trace metals and macronutrients from samples collected using GoFlo on R/V Melville MV1405 (IRN-BRU) cruise in the California Current System in July 2014 (Accomplishment Based Renewal:   An iron limitation mosaic within the central California Current System) This dataset is a suite of dissolved trace metal concentrations, along with macronutrient concentrations, collected using a GoFlo on R/V Melville cruise MV1405 (IRN-BRU) while investigating the mosaic of the California Current System in July 2014. It includes depth profiles of an active upwelling site nearshore over the shelf in northern California (Station 2), a more aged upwelling site offshore of the shelf break in southern Oregon (Station 28), a station in the Santa Barbara Basin that got suboxic in the lower depths of the water column (Station 29), and a set of stations (9, 12 and 15) that show two cyclonic eddies, one two months younger (station 9) than the other (station 15), but both coming from roughly the same place and moving offshore, with station 12 in between them in an offshoot of the California Current. The chief scientist of the cruise was Ken Bruland. Trace metal samples were analyzed by Claire Till (nee Parker) as his graduate student. Nutrient samples were analyzed by Tyler Coale. See related datasets for additional samples using a regular rosette (macronutrient concentrations) and surface samples from a TowFish (macronutrient and dissolved trace metal concentrations) collected on MV1405.\n\ncdm_data_type = Other\nVARIABLES:\nSample_date (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\nStation_number (unitless)\nStation_notes (unitless)\ndepth (m)\nNitrate_plus_nitrite (umol/kg)\nPhosphate (umol/kg)\nSilicate (umol/kg)\nFe (nmol/kg)\nY (pmol/kg)\nCd (pmol/kg)\nLa (pmol/kg)\nPb (pmol/kg)\nCe (pmol/kg)\n... (7 more variables)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_942928_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_942928_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_942928_v1/index.htmlTable https://www.bco-dmo.org/dataset/942928 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_942928_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_942928_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_942928_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_943015_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_943015_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_943015_v1/ public [Dissolved trace metals and macronutrients from a 2014 IRNBRU cruise Surface Data] - Dissolved trace metals and macronutrients from samples collected using a tow-fish system on R/V Melville MV1405 (IRN-BRU) cruise in the California Current System in July 2014 (Accomplishment Based Renewal:   An iron limitation mosaic within the central California Current System) This dataset is a suite of dissolved trace metal concentrations, along with macronutrient concentrations collected using a trace-metal clean towed-fish system on R/V Melville cruise MV1405 (IRN-BRU) while investigating the mosaic of the California Current System in July 2014. This dataset includes samples from transects 2, 5, 8, and 9. Transect 2 started at station 2 (an active upwelling site nearshore over the shelf in northern California; see related datasets) and followed the upwelled plume offshore. Transect 5 went through the eddy stations (stations 9, 12, and 15; see related datasets). Transects 8 and 9 went through the plume measured in station 28 (a more aged upwelling site offshore of the shelf break in southern Oregon; see related datasets). The chief scientist of the cruise was Ken Bruland. Trace metal samples were analyzed by Claire Till (nee Parker) as his graduate student. Nutrient samples were analyzed by Tyler Coale. See related datasets for depth profile samples using a regular rosette (macronutrient concentrations) and teflon-coated GoFlos (macronutrient and dissolved trace metal concentrations) collected on MV1405.\n\ncdm_data_type = Other\nVARIABLES:\ntime (Date_time_iso_utc, seconds since 1970-01-01T00:00:00Z)\nlatitude (degrees_north)\nlongitude (degrees_east)\nTransect_number (unitless)\nNitrate (umol/kg)\nPhosphate (umol/kg)\nSilicate (umol/kg)\nFe (nmol/kg)\nY (pmol/kg)\nCd (pmol/kg)\nLa (pmol/kg)\nPb (pmol/kg)\nCe (pmol/kg)\nSc (pmol/kg)\nMn (nmol/kg)\nCo (pmol/kg)\n... (4 more variables)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_943015_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_943015_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_943015_v1/index.htmlTable https://www.bco-dmo.org/dataset/943015 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_943015_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_943015_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_943015_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_885506_v2 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_885506_v2.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_885506_v2/ public [Distribution of dissolved barium in seawater determined using machine learning] - A spatially and vertically resolved global grid of dissolved barium concentrations in seawater determined using Gaussian Process Regression machine learning (The Speed, Signature, and Significance of Barium Transformations in Seawater) We present a spatially and vertically resolved global grid of dissolved barium concentrations ([Ba]) in seawater determined using Gaussian Process Regression machine learning. This model was trained using 4,345 quality-controlled GEOTRACES data from the Arctic, Atlantic, Pacific, and Southern Oceans. Model output was validated by assessing the accuracy of [Ba] simulations in the Indian Ocean, noting that none of the Indian Ocean data were seen by the model during training. We identify a model that can accurate predict [Ba] in the Indian Ocean using seven features: depth, temperature, salinity, as well as dissolved dioxygen, phosphate, nitrate, and silicate concentrations. This model achieves a mean absolute percentage error of 6.0 %, which we assume represents the generalization error. This model was used to simulate [Ba] on a global basis using predictor data from the World Ocean Atlas 2018. The global model of [Ba] is on a 1°x 1° grid with 102 depth levels from 0 to 5,500 m. The dissolved [Ba] output was then used to simulate dissolved Ba* (barium-star), which is the difference between 'observed' and [Ba] predicted from co-located [Si]. Lastly, [Ba] data were combined with temperature, salinity, and pressure data from the World Ocean Atlas to calculate the saturation state of seawater with respect to barite. The model reveals that the volume-weighted mean oceanic [Ba] and and saturation state are 89 nmol/kg and 0.82, respectively. These results imply that the total marine Ba inventory is 122(±7) ×10¹² mol and that the ocean below 1,000 m is at barite equilibrium.\n\ncdm_data_type = Other\nVARIABLES:\nStation (unitless)\nlongitude (Longitude_degreese, degrees_east)\nlatitude (Latitude_degreesn, degrees_north)\nDepth_m (meters (m))\ndBa_nmol_kg (nanomoles per kilogram (nmol/kg))\nomega_Ba (unitless)\nBa_star_nmol_kg (nanomoles per kilogram (nmol/kg))\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_885506_v2_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_885506_v2_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_885506_v2/index.htmlTable https://www.bco-dmo.org/dataset/885506 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_885506_v2.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_885506_v2&showErrors=false&email= BCO-DMO bcodmo_dataset_885506_v2
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_887530_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_887530_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_887530_v1/ public [Diurnal gnathiid consumption] - Diurnal gnathiid consumption in fish sampled from shallow reef sites in Caribbean waters from May 2017 to Sep 2021 (Beyond Cleaning and Symbiosis: Ecology of 'Ticks of the Sea' on Coral Reefs) Specialist species have evolved to fill narrow niches but are especially susceptible to environmental change. With sufficient functional redundancy, ecosystem services can persist without specialists. Grooming behaviors are common in both terrestrial and aquatic organisms. However, in aquatic systems there is a heavy reliance on intraspecific mutualisms where specialist species groom or \"clean\" parasites off of host fishes. \n\nHere, we sampled the gut contents of 709 fishes, representing 61 species and including both cleaner and non-cleaner fishes, to compare their consumption of gnathiid isopods, the most common fish ectoparasites. This dataset contains sample and collection metadata, including date, location, and method of sampling, as well as species, stage, length, and Gnathiid count for samples collected.\n\nWe found that cleaner fishes eat significantly more gnathiids, and eat them more frequently, compared to non-cleaner fishes. Our results highlight the importance of both dedicated and facultative cleaners as consumers of ectoparasites and show that their role cannot be supplanted by generalist consumers. Furthermore, we suggest that different cleaner species act as complementary rather than redundant specialists.\n\ncdm_data_type = Other\nVARIABLES:\nNumber (unitless)\nID (unitless)\nLocation (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\nMethod (unitless)\nDate (unitless)\nCommon_Name (unitless)\nSpecies (unitless)\nFamily (unitless)\nStage (unitless)\nLength (centimeters (cm))\nGnathiids (unitless)\nNotes (unitless)\nGnathiid_count (unitless)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_887530_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_887530_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_887530_v1/index.htmlTable https://osprey.bco-dmo.org/dataset/887530 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_887530_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_887530_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_887530_v1
log in [Dive record, Zooglider BioSWOT-Med (BioSWOT-Med)] - Zooglider dive record from the BIOSWOT-Med cruise in the Northwestern Mediterranean Sea, March-May 2023 (Zooglider assessment of zooplankton frontal gradients across the BIOSWOT-Med region) These data are based on deployment of the Scripps Zooglider in collaboration with the French-led BIOSWOT-Med study in the Northwestern Mediterranean Sea in Spring 2023. This study was one of the Adopt-a-Crossover field studies carried out around the world in synchrony with the launch by NASA/CNES of the new SWOT satellite for enhanced ocean altimetry. We deployed Zooglider on 30 March 2023 from Palma, Majora using a small craft, then navigated it remotely to the BIOSWOT-Med study region. Initially Zooglider sampled to the east of Majorca and south of Menorca. Then we recovered Zooglider at sea, transported it to the center of an anticyclonic eddy north of Menorca, and redeployed it, navigating it from the eddy center across the eddy periphery. We then recovered it at sea on 8 May 2023, for a total mission duration of 40 days. Zooglider data were telemetered back to our server each time the vehicle surfaced and the data were immediately posted on our public website, available to all BIOSWOT-Med participants and any member of the general public. This dataset presents the dive record and location information for Zooglider's track.\n\ncdm_data_type = Other\nVARIABLES:\nDive_number (unitless)\ntime (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\nfrom_date_UTC (unitless)\nto_date_UTC (unitless)\nsample_volume_ml (mL)\nfrom_time_UTC (unitless)\nto_time_UTC (unitless)\nlatitude_start (decimal degrees)\nlongitude_start (decimal degrees)\nlatitude (Latitude_mid_ascent_75, degrees_north)\nlongitude (Longitude_mid_ascent_75, degrees_east)\nlatitude_end (decimal degrees)\nlongitude_end (decimal degrees)\nmax_pressure (decimbars)\n BCO-DMO bcodmo_dataset_962204_v1
log in [DOC and TOC data] - Dissolved and total organic carbon concentrations of seawater collected in the northwestern Atlantic in 2024 during three cruises aboard the Atlantic Explorer (AE2412, AE2426b, AE2427) (Collaborative Research: Quantifying the role of microbial extracellular vesicles in marine dissolved organic matter production and consumption) Data on the concentration of dissolved organic carbon and total organic carbon provide the environmental context for us to understand the role that extracellular vesicles play in marine organic carbon cycling. These data are from discrete seawater samples collected from Niskin bottles or from the underway systems during three cruises (AE2412, AE2426b, AE2427) conducted in 2024. All cruises were in the northwestern Atlantic Ocean. Seawater was whole seawater for total organic carbon or 0.2 uM-filtered seawater for dissolved organic carbon. Samples were analyzed by high temperature combustion. The samples were collected and processed by Krista Longnecker of Woods Hole Oceanographic Institution.\n\ncdm_data_type = Other\nVARIABLES:\nCruise (dimensionless)\ntime (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\nlatitude (degrees_north)\nlongitude (degrees_east)\nCast (dimensionless)\ndepth (m)\nSource (dimensionless)\nSampleType (dimensionless)\nNPOC (micromolar (uM))\n BCO-DMO bcodmo_dataset_986721_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_953702_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_953702_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_953702_v1/ public [DOM remineralization bioassays] - Bacterial abundance, bacterial organic carbon, and total organic carbon from remineralization bioassays conducted on R/V Robert Gordon Sproul cruises along the Southern California coast during July and August 2023 (Postdoctoral Fellowship: OCE-PRF: Smoke on the water: the impacts of wildfire ash deposition on surface ocean biology) These data include bacterial abundance, bacterial organic carbon, and total organic carbon from remineralization bioassays conducted to assess bacterioplankton growth and DOC degradation. Experiments were conducted on cruises aboard the R/V Robert Gordon Sproul (SP2319, SP2320) between dates 2023-07-28 and 2023-08-19 along the Southern California coast. \n\nDeposition of wildfire ash on the ocean can fertilize microbial production but also has the potential to inhibit microbial growth due to heavy metal toxicity. The data collected from these field experiments can contribute to elevating understanding of wildfire-driven material transfer from the terrestrial system to the ocean and its impact on carbon and energy flow in marine food webs. These data were collected by Dr. Nicholas Baetge,  Dr. Allen Milligan, Brian Ver Wey, and Parker Hansen of Oregon State University. Data were also collected by Dr. Craig Carlson, Elisa Halewood, and Keri Opalk of the University of California Santa Barbara\n\ncdm_data_type = Other\nVARIABLES:\nstn (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\ntime (Dt, seconds since 1970-01-01T00:00:00Z)\ntrt (unitless)\nbact_cells (cells per milliliter)\nsd_bact_cells (cells per milliliter)\nboc (micromoles C per liter (umol C/L))\nmean_toc (micromoles C per liter (umol C/L))\nsd_toc (micromoles C per liter (umol C/L))\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_953702_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_953702_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_953702_v1/index.htmlTable https://www.bco-dmo.org/dataset/953702 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_953702_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_953702_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_953702_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_855139_v4 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_855139_v4.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_855139_v4/ public [DOPv2021] - DOP concentration observations from the global ocean between 1990 and 2021 (DOP N2 fixation and export production project) (Collaborative Research: Dissolved organic phosphorus controls on marine nitrogen fixation and export production) DOP (Dissolved Organic Phosphorus) concentration observations in the global ocean between 1990 and 2021 over multiple deployments. DOP concentrations in this study were calculated as the difference between TDP concentrations and SRP concentrations of samples. For DOP concentrations reported here, TDP concentrations were measured by the ash/hydrolysis method based on Monaghan and Ruttenberg, 1999.\n\ncdm_data_type = Other\nVARIABLES:\nEXPOCODE (unitless)\ncruise (unitless)\ndate (unitless)\nStationID (unitless)\nBottleID (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\ndepth (m)\nTemperature (degrees Celsius)\nSalinity (psu)\nNO3_plus_NO2 (uM)\nSRP (uM)\nDOP (uM)\nDOP_flag (unitless)\nregion (unitless)\nmethod (unitless)\nreference (unitless)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_855139_v4_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_855139_v4_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_855139_v4/index.htmlTable https://www.bco-dmo.org/dataset/855139 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_855139_v4.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_855139_v4&showErrors=false&email= BCO-DMO bcodmo_dataset_855139_v4
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_986596_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_986596_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_986596_v1/ public [DOS, DOP, DOBr, and DOI depth profiles from BATS and HOT] - Dissolved organic compound (DOS, DOP, DOBr, DOI) depth profiles collected at the Bermuda Atlantic Time Series Station (BATS) in August 2019 and at the Hawaii Ocean Time Series Station Aloha in July 2021 (The fate of lysis products of picocyanobacteria contributes to marine humic-like chromophoric dissolved organic matter) This dataset contains the Dissolved organic sulfur (DOS), dissolved organic phosphorus (DOP), dissolved organic bromine (DOBr) and dissolved organic iodine (DOI) data obtained ICP-MS analysis of solid-phase extracted samples collected at the BATS station (August 2019) and HOT station ALOHA (July 2021). These data are complementary to the fluorescence data set that was sampled at 200 m depth intervals in both the Central North Atlantic (BATS) and Central North Pacific (ALOHA). While the focus of study is to better understand a marine source of fluorescent dissolved organic matter (DOM) (i.e., picocyanobacteria), these data were collected to evaluate whether these heteroatoms within DOM follow the same trends with depth as the fluorescent components determined by parallel factor analysis of 3D fluorescence spectra. Briefly, DOM was isolated by solid phase extraction from 10L seawater samples that were collected from the surface to the seafloor at each station, resulting in 10 mL methanolic extracts for each sample. Extracts were stored at -20 degrees C until analysis in our home laboratory. Portions of these extracts were dried completely and re-dissolved in ultrapure water prior to DOS, DOP, DOBr, or DOI analysis by inductively coupled plasma-mass spectrometry.\n\ncdm_data_type = Other\nVARIABLES:\nlocation (unitless)\nstart_date (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\ndepth (m)\nDOS (nanomolar (nM))\nDOP (nanomolar (nM))\nDOBr (nanomolar (nM))\nDOI (nanomolar (nM))\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_986596_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_986596_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_986596_v1/index.htmlTable https://osprey.bco-dmo.org/dataset/986596 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_986596_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_986596_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_986596_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_883999_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_883999_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_883999_v1/ public [Dose response evaluation of oyster shell strengthening in response to homarine and trigonelline] - Juvenile oyster shell strength measurements from a dose response assay of chemical cues homarine and trigonelline conducted at Dauphin Island Sea Lab, Dauphin Island, AL in June - August 2021 (Collaborative Research: Keystone chemicals: Identifying general and universal molecules of fear) These data include measurements of juvenile oyster shell strength from a dose response experiment conducted at Dauphin Island Sea Lab, Dauphin Island, AL in June - August of 2021.\nStudy description:\n\nHomarine and trigonelline are two blue crab urine metabolites that cause juvenile oysters to strengthen their shells are a defensive response. We evaluated the dose dependency of this response with a dose-response experiment where homarine and trigonelline concentrations (of each individual chemical and a combination of the two) spanned 5 log half-steps. Juvenile oysters were exposed to chemicals for 8 weeks and their shell strength (N) was measured and standardized to the size of the animals (mm) as a proxy for understanding this defense.\n\ncdm_data_type = Other\nVARIABLES:\nID (unitless)\nBlock (unitless)\nTreatment (unitless)\nReplicate (unitless)\nPair (unitless)\nTile (unitless)\nIndividual (unitless)\nsize (millimeters (mm))\ncrushing_force (newtons (N))\nstand_crushing_force (newtons per millimeter (N/mm))\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_883999_v1/index.htmlTable https://www.bco-dmo.org/dataset/883999 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_883999_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_883999_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_883999_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_884015_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_884015_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_884015_v1/ public [Dose response evaluation of oyster shell strengthening to varying blue crab urine concentrations] - Juvenile oyster shell strength measurements from a dose response experiment with an array of blue crab urine concentrations conducted at Dauphin Island Sea Lab, Dauphin Island, AL in August - Oct 2022 (Collaborative Research: Keystone chemicals: Identifying general and universal molecules of fear) These data include measurements of juvenile oyster shell strength from a dose response experiment of varying blue crab urine concentrations conducted at Dauphin Island Sea Lab, Dauphin Island, AL in August - Oct 2022.\nStudy description:\n\nMetabolites from blue crab urine are known to cause shell strengthening in juvenile oysters as a defensive response. Previous studies have identified several bioactive molecules in urine that induce this response in oysters, but others have yet to be identified. In the current study, an array of concentrations of blue crab urine was used to treat oyster juveniles in order to assess the dose-dependency of this response. Oysters were exposed to urine treatments for 8 weeks and their shell strength (N) was measured and standardized to the size of the animals (mm) as a proxy for understanding this defense.\n\ncdm_data_type = Other\nVARIABLES:\nID (unitless)\nDiet (unitless)\nTreatment (unitless)\nDose (unitless)\nReplicate (unitless)\nPair (unitless)\nTile (unitless)\nIndividual (unitless)\nsize (millimeters (mm))\ncrushing_force_N (newtons (N))\nstand_crushing_force (newtons per millimeter (N/mm))\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_884015_v1/index.htmlTable https://www.bco-dmo.org/dataset/884015 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_884015_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_884015_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_884015_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_947784_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_947784_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_947784_v1/ public [Drop Sampling Data - Port Fourchon, LA 2022] - Species counts, site-level information and environmental context sampled near Port Fourchon, Louisiana from September 23 - 29, 2022. (CAREER: Integrating Seascapes and Energy Flow: learning and teaching about energy, biodiversity, and ecosystem function on the frontlines of climate change) This dataset provides species count data collected during the Fall 2022 drop sampling season at 52 sites near Port Fourchon, Louisiana. The sampling effort aimed to assess the abundance and composition of estuarine nekton species across a landscape experiencing significant climate-driven habitat change, including mangrove encroachment and marsh loss. Species counts were obtained using a drop sampler with a 1.2 m² area, deployed along the marsh edge at each site. Nekton within the sampler were captured using a suction pump and dipnets, sorted into taxonomic groups, and enumerated.The data are presented alongside site-level information, including approximate geolocation, date, and environmental context (e.g., habitat classification derived from drone and satellite imagery).\n\nThe purpose of this dataset is to evaluate how species abundances respond to habitat structure at multiple spatial scales, particularly in relation to landscape metrics such as land-to-water ratio, edge area, and mangrove cover. This dataset is useful for ecologists, resource managers, and conservation scientists interested in habitat suitability, estuarine ecology, and the impacts of climate-driven habitat changes on coastal nekton communities.\n\nThis dataset is part of a study exploring the effect of habitat scale on models linking species abundance to landscape metrics. This was collected by Herbert Leavitt, Dr. James Nelson, and Alex Thomas. Affiliation at time of sampling was University of Louisiana at Lafayette.\n\ncdm_data_type = Other\nVARIABLES:\nsite_date_key (unitless)\nsite_number (unitless)\nsample_date (unitless)\nsample_trip (unitless)\nwater_depth (cm)\ntemperature (degrees Celcius (°C))\nsalinity (parts per thousand (ppt or ‰))\nlatitude (degrees_north)\nlongitude (degrees_east)\n... (49 more variables)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_947784_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_947784_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_947784_v1/index.htmlTable https://osprey.bco-dmo.org/dataset/947784 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_947784_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_947784_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_947784_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_995790_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_995790_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_995790_v1/ public [DSI deployment and lab incubation] - Oxygen, carbon, and 13C values from the deep-sea incubator (DSI) and parallel laboratory incubations with mesopelagic water from the same region and depth on May 12, 2023 (Collaborative Research: Transforming Carbon in the Deep Sea) This dataset includes oxygen, carbon, and 13C values from syringes used in incubations with mesopelagic water (~300 meters depth) either in situ using a deep-sea incubator, or in the laboratory in parallel incubations. The organic substrate was the particulate organic carbon fraction (retained by a 0.2-micrometer polycarbonate filter) of 13C-labeled algae from two cultures: the green alga Tetraselmis sp. and the diatom Thalassiosira weissflogii. The syringes were incubated for four days in order to measure organic carbon decay.\n\ncdm_data_type = Other\nVARIABLES:\nSample_ID (unitless)\nDescription (unitless)\nTime_point (unitless)\nDate (unitless)\nLive_dead (unitless)\nReading_Oxygen_units (picoAmps)\nReading_Oxygen_saturation_average (picoAmps)\nReading_zero_oxygen (picoAmps)\nTotal_C_ug (milligrams (mg))\nTotal_C_ug_L (milligrams per liter (mg/L))\nElapsed_time (days)\nConc_13C (milligrams per liter (mg/L))\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_995790_v1/index.htmlTable https://osprey.bco-dmo.org/dataset/995790 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_995790_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_995790_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_995790_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_907321_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_907321_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_907321_v1/ public [Ecological monitoring Natividad 2006-2021: Algae] - Ecological monitoring of algae on Isla Natividad from 2006 to 2021 (Collaborative Research: Evaluating how abalone populations in the California Current are structured by the interplay of large-scale oceanographic forcing and nearshore variability) This dataset encompasses information about algae transects between 2006 to 2021 in Isla Natividad, Baja California Sur, Mexico. Abundances of algae and the number of stipes of each individual algae can be found in the data set. Also, the dates when the transects were done, the site, the name of the diver, the depth the transect was laid, if the site was a marine reserve or not, if the site is inside a marine protected area or not, the latitude and longitude of the sites, the temperature of the water, the number of transect from where the information was counted, and the species name of algae counted.\n\nEcological monitoring is important to collect data of species that inhabit an specific ecosystem. For this data set, we present all the data form 2006 to 2021 on algae, marine invertebrates, fish and uniform point contact at six different sites in Isla Natividad off the coast of Baja California Sur, Mexico. Data was collected once a year by trained divers as a collaborative effort from Stanford University, non-governmental organizations, and fishing cooperative federations. These data provides the abundaces of algae, invertebrates, fish and substrate  of Isla Natividad over the spam of 15 years and may be use to assess changes in the ecosystems after shocks such as hypoxic events or marine heatwaves.\n\ncdm_data_type = Other\nVARIABLES:\nID (unitless)\nDAY (unitless)\nMONTH (unitless)\nYEAR (unitless)\nSTATE (unitless)\nCOMMUNITY (unitless)\nSITE (unitless)\nLAT (degrees_north)\nlongitude (Long, degrees_east)\nHABITAT (unitless)\nZONE (unitless)\nPROTECTION (unitless)\n... (18 more variables)\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_907321_v1/index.htmlTable https://www.bco-dmo.org/dataset/907321 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_907321_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_907321_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_907321_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_907363_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_907363_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_907363_v1/ public [Ecological monitoring Natividad 2006-2021: Fish] - Ecological monitoring of fish on Isla Natividad from 2006 to 2021 (Collaborative Research: Evaluating how abalone populations in the California Current are structured by the interplay of large-scale oceanographic forcing and nearshore variability) This dataset encompasses information about fish transects between 2006 to 2021 in Isla Natividad. Abundances, sex and size of fish can be found in the data set. Also, the dates when the transects were done, the site, the name of the diver, the depth the transect was laid, if the site was a marine reserve or not, if the site is inside a marine protected area or not, the latitude and longitude of the sites, the temperature of the water, the number of transect from where the information was counted, and the species name of the fish counted.\n\nEcological monitoring is important to collect data of species that inhabit an specific ecosystem. For this data set, we present all the data form 2006 to 2021 on algae, marine invertebrates, fish and uniform point contact at six different sites in Isla Natividad off the coast of Baja California Sur, Mexico. Data was collected once a year by trained divers as a collaborative effort from Stanford University, non-governmental organizations, and fishing cooperative federations. These data provides the abundaces of algae, invertebrates, fish and substrate  of Isla Natividad over the spam of 15 years and may be use to assess changes in the ecosystems after shocks such as hypoxic events or marine heatwaves.\n\ncdm_data_type = Other\nVARIABLES:\nID (unitless)\nDAY (unitless)\nMONTH (unitless)\nYEAR (unitless)\nSTATE (unitless)\nCOMMUNITY (unitless)\nSITE (unitless)\nLAT (degrees_north)\nlongitude (Long, degrees_east)\nHABITAT (unitless)\nZONE (unitless)\nPROTECTION (unitless)\nMPA (unitless)\n... (15 more variables)\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_907363_v1/index.htmlTable https://www.bco-dmo.org/dataset/907363 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_907363_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_907363_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_907363_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_907353_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_907353_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_907353_v1/ public [Ecological monitoring Natividad 2006-2021: Invertebrates] - Ecological monitoring of marine invertebrates on Isla Natividad from 2006 to 2021 (Collaborative Research: Evaluating how abalone populations in the California Current are structured by the interplay of large-scale oceanographic forcing and nearshore variability) This dataset encompasses information about marine invertebrates transects between 2006 to 2021 in Isla Natividad. Abundances of invertebrates can be found in the data set. Also, the dates when the transects were done, the site, the name of the diver, the depth the transect was laid, if the site was a marine reserve or not, if the site is inside a marine protected area or not, the latitude and longitude of the sites, the temperature of the water, the number of transect from where the information was counted, and the species name of each invertebrate counted.\n\nEcological monitoring is important to collect data of species that inhabit an specific ecosystem. For this data set, we present all the data form 2006 to 2021 on algae, marine invertebrates, fish and uniform point contact at six different sites in Isla Natividad off the coast of Baja California Sur, Mexico. Data was collected once a year by trained divers as a collaborative effort from Stanford University, non-governmental organizations, and fishing cooperative federations. These data provides the abundaces of algae, invertebrates, fish and substrate  of Isla Natividad over the spam of 15 years and may be use to assess changes in the ecosystems after shocks such as hypoxic events or marine heatwaves.\n\ncdm_data_type = Other\nVARIABLES:\nID (unitless)\nDAY (unitless)\nMONTH (unitless)\nYEAR (unitless)\nSTATE (unitless)\nCOMMUNITY (unitless)\nSITE (unitless)\nLAT (degrees_north)\nlongitude (Long, degrees_east)\nHABITAT (unitless)\nZONE (unitless)\nPROTECTION (unitless)\nMPA (unitless)\n... (13 more variables)\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_907353_v1/index.htmlTable https://www.bco-dmo.org/dataset/907353 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_907353_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_907353_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_907353_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_907373_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_907373_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_907373_v1/ public [Ecological monitoring Natividad 2006-2021: UPC] - Uniform point contact (UPC) transect data from Isla Natividad from 2006 to 2021 (Collaborative Research: Evaluating how abalone populations in the California Current are structured by the interplay of large-scale oceanographic forcing and nearshore variability) This dataset encompasses information about Uniform point contact (UPC) transects between 2006 to 2021 in Isla Natividad. UPC refers to the information about the substrate where the transect is laid. Every meter (along the 30m transect) you identify what type of substrate there is (e.g., sand, cobble, boulder, reef, other such as anthropogenic), what type of cover there is (e.g., none, brown algae, green algae, red algae, crustose coralline algae, mobile invertebrates, sessile invertebrates or seagrass) and the height of the relief (e.g., less than 10cm, between 10cm and 1m, between 1m and 2m or more than 2m). With this information you can assess the kelp forest ecosystem. This dataset also has information about the dates when the transects were done, site, the name of the diver, the depth the transect was laid, if the site was a marine reserve or not, if the site is inside a marine protected area or not, the latitude and longitude of the sites, the temperature of the water, the number of transect from where the information was counted and the total of substrate, cover and relief points.\n\nEcological monitoring is important to collect data of species that inhabit an specific ecosystem. For this data set, we present all the data form 2006 to 2021 on algae, marine invertebrates, fish and uniform point contact at six different sites in Isla Natividad off the coast of Baja California Sur, Mexico. Data was collected once a year by trained divers as a collaborative effort from Stanford University, non-governmental organizations, and fishing cooperative federations. These data provides the abundaces of algae, invertebrates, fish and substrate  of Isla Natividad over the spam of 15 years and may be use to assess changes in the ecosystems after shocks such as hypoxic events or marine heatwaves.\n\ncdm_data_type = Other\nVARIABLES:\nID (unitless)\nDAY (unitless)\nMONTH (unitless)\nYEAR (unitless)\nSTATE (unitless)\nCOMMUNITY (unitless)\nSITE (unitless)\n... (40 more variables)\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_907373_v1/index.htmlTable https://www.bco-dmo.org/dataset/907373 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_907373_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_907373_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_907373_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_3327.subset https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_3327 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_3327.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_3327/ public [EcoMon Plankton 10m2] - EcoMon plankton counts (10-m2) from Bongo tows, including MARMAP data from multiple cruises in the Northeast Continental Shelf of the United States from 1977-2015 (EcoMon Zooplankton project) (EcoMon Zooplankton) EcoMon plankton counts (10-m2) from Bongo tows, including MARMAP data from multiple cruises in the Northeast Continental Shelf of the United States from 1977-2015 (EcoMon Zooplankton project)\n\ncdm_data_type = Other\nVARIABLES:\nyear\ncruiseid\nstation\ndate (seconds since 1970-01-01T00:00:00Z)\nmonth\nday\ntime2 (Time)\nlatitude (degrees_north)\nlongitude (degrees_east)\ndepth (m)\nzoo_gear\nich_gear\nsfc_temp\nsfc_salt\nbtm_temp\nbtm_salt\nvolume_1m2\ntaxon\ncount\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_3327_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_3327_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_3327/index.htmlTable https://www.bco-dmo.org/dataset/3327 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_3327.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_3327&showErrors=false&email= BCO-DMO bcodmo_dataset_3327
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_924650_v1 https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_924650_v1/ public [Edmunds et al. 2020 ICES: pCO2 flume - Coral area] - Coral area from a study of year-long effects of high pCO2 on the community structure of a tropical fore reef assembled in outdoor flumes in Moorea, French Polynesia from 2017 to 2018 (RUI: Ocean Acidification- Category 1- The effects of ocean acidification on the organismic biology and community ecology of corals, calcified algae, and coral reefs) This coral calcification dataset includes the areas of corals as they changed over a year-long experiment. Flume physical and chemical conditions are provided as a supplemental file. These data are part of a study of year-long effects of high pCO2 on the community structure of a tropical fore reef assembled in outdoor flumes in Moorea, French Polynesia from 2017 to 2018.  \n\nThese coral calcification data support publication (Edmunds et al., 2020; doi:10.1093/icesjms/fsaa015) with the following abstract:\n\nIn this study, fore reef coral communities were exposed to high pCO2 for a year to explore the relationship between net accretion (Gnet) and community structure (planar area growth). Coral reef communities simulating the fore reef at 17-m depth on Mo'orea, French Polynesia, were assembled in three outdoor flumes (each 500 l) that were maintained at ambient (396 matm), 782 matm, and 1434 matm pCO2, supplied with seawater at 300 l h 1, and exposed to light simulating 17-m depth. The communities were constructed using corals from the fore reef, and the responses of massive Porites spp., Acropora spp., and Pocillopora verrucosa were assessed through monthly measurements of Gnet and planar area. High pCO2 depressed Gnet but did not affect colony area by taxon, although the areas of Acropora spp. and P. verrucosa summed to cause multivariate community structure to differ among treatments. These results suggest that skeletal plasticity modulates the effects of reduced Gnet at high pCO2 on planar growth, at least over a year. The low sensitivity of the planar growth of fore reef corals to the effects of ocean acidification.\n\ncdm_data_type = Other\nVARIABLES:\nFlume (unitless)\nYear_Month (unitless)\nSample (unitless)\nType (unitless)\nSpecies (unitless)\npercent_area (percent (%))\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_924650_v1/index.htmlTable https://www.bco-dmo.org/dataset/924650 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_924650_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_924650_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_924650_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_924603_v1 https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_924603_v1/ public [Edmunds et al. 2020 ICES: pCO2 flume - Coral weight] - Coral weight from a study of year-long effects of high pCO2 on the community structure of a tropical fore reef assembled in outdoor flumes in Moorea, French Polynesia from 2017 to 2018 (RUI: Ocean Acidification- Category 1- The effects of ocean acidification on the organismic biology and community ecology of corals, calcified algae, and coral reefs) This coral calcification dataset includes the weight of the corals as used to report net changes in mass (Gnet). Flume physical and chemical conditions are provided as a supplemental file.  These data are part of a study of year-long effects of high pCO2 on the community structure of a tropical fore reef assembled in outdoor flumes in Moorea, French Polynesia from 2017 to 2018.  \n\nThese coral calcification data support publication (Edmunds et al., 2020; doi:10.1093/icesjms/fsaa015) with the following abstract:\n\nIn this study, fore reef coral communities were exposed to high pCO2 for a year to explore the relationship between net accretion (Gnet) and community structure (planar area growth). Coral reef communities simulating the fore reef at 17-m depth on Mo'orea, French Polynesia, were assembled in three outdoor flumes (each 500 l) that were maintained at ambient (396 matm), 782 matm, and 1434 matm pCO2, supplied with seawater at 300 l h 1, and exposed to light simulating 17-m depth. The communities were constructed using corals from the fore reef, and the responses of massive Porites spp., Acropora spp., and Pocillopora verrucosa were assessed through monthly measurements of Gnet and planar area. High pCO2 depressed Gnet but did not affect colony area by taxon, although the areas of Acropora spp. and P. verrucosa summed to cause multivariate community structure to differ among treatments. These results suggest that skeletal plasticity modulates the effects of reduced Gnet at high pCO2 on planar growth, at least over a year. The low sensitivity of the planar growth of fore reef corals to the effects of ocean acidification.\n\ncdm_data_type = Other\nVARIABLES:\nFlume (unitless)\nYear_Month (unitless)\nSample (unitless)\nType (unitless)\nFunctional_group (unitless)\nSpecies (unitless)\nLTER_Site (unitless)\nWeight (grams (g))\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_924603_v1/index.htmlTable https://www.bco-dmo.org/dataset/924603 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_924603_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_924603_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_924603_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_918299_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_918299_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_918299_v1/ public [Edmunds et al. 2023 Oecologia: Chlorophyll Concentration] - Seawater chlorophyll concentration offshore from Moorea, French Polynesia from 2008 to 2020 (Moorea Coral Reef Long-Term Ecological Research site) Data Abstract:\n\nSeawater chlorophyll concentration (mg/m3) offshore from Moorea, French Polynesia from 2008 to 2020.\n\nResults paper abstract, Edmunds et al. (2023) :\n* [See \"Related Datasets\" section for access to related datasets discussed here]\n\nUnderstanding population dynamics is a long-standing objective of ecology, but the need for progress in this area has become urgent. For coral reefs, achieving this objective is impeded by a lack of information on settlement versus post-settlement events in determining recruitment and population size. Declines in coral abundance are often inferred to be associated with reduced densities of recruits, which could arise from mechanisms occurring at larval settlement, or throughout post-settlement stages. This study uses annual measurements from 2008 to 2021 of coral cover, the density of coral settlers (S), the density of small corals (SC), and environmental conditions, to evaluate the roles of settlement versus post-settlement events in determining rates of coral recruitment and changes in coral cover at Moorea, French Polynesia. Coral cover, S, SC, and the SC:S ratio (a proxy for post-settlement success), and environmental conditions, were used in generalized additive models (GAMs) to show that: (a) coral cover was more strongly related to SC and SC:S than S, and (b) SC:S was highest when preceded by cool seawater, low concentrations of Chlorophyll a, and low flow speeds, and S showed evidence of declining with elevated temperature. Together, these results suggest that changes in coral cover in Moorea are more strongly influenced by post-settlement events than settlement. The key to understanding coral community resilience may lie in elucidating the factors attenuating the bottleneck between settlers and small corals.\n\ncdm_data_type = Other\nVARIABLES:\nYear (unitless)\nMonth (unitless)\nChlorophyll (milligrams per meters cubed (mg/m3))\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_918299_v1/index.htmlTable https://www.bco-dmo.org/dataset/918299 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_918299_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_918299_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_918299_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_918265_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_918265_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_918265_v1/ public [Edmunds et al. 2023 Oecologia: Coral Cover] - Percentage cover of the benthos by live coral at 10 m depth at sites in Moorea Moorea, French Polynesia from 2008 to 2021 (Moorea Coral Reef Long-Term Ecological Research site) Data Abstract:\n\nThese data describe the percentage cover of the benthos by live coral at 10 m depth at sites LTER1 and LTER2 in Moorea. \n\nResults paper abstract, Edmunds et al. (2023) :\n* [See \"Related Datasets\" section for access to related datasets discussed here]\n\nUnderstanding population dynamics is a long-standing objective of ecology, but the need for progress in this area has become urgent. For coral reefs, achieving this objective is impeded by a lack of information on settlement versus post-settlement events in determining recruitment and population size. Declines in coral abundance are often inferred to be associated with reduced densities of recruits, which could arise from mechanisms occurring at larval settlement, or throughout post-settlement stages. This study uses annual measurements from 2008 to 2021 of coral cover, the density of coral settlers (S), the density of small corals (SC), and environmental conditions, to evaluate the roles of settlement versus post-settlement events in determining rates of coral recruitment and changes in coral cover at Moorea, French Polynesia. Coral cover, S, SC, and the SC:S ratio (a proxy for post-settlement success), and environmental conditions, were used in generalized additive models (GAMs) to show that: (a) coral cover was more strongly related to SC and SC:S than S, and (b) SC:S was highest when preceded by cool seawater, low concentrations of Chlorophyll a, and low flow speeds, and S showed evidence of declining with elevated temperature. Together, these results suggest that changes in coral cover in Moorea are more strongly influenced by post-settlement events than settlement. The key to understanding coral community resilience may lie in elucidating the factors attenuating the bottleneck between settlers and small corals.\n\ncdm_data_type = Other\nVARIABLES:\nYear (unitless)\nSite (unitless)\ndepth (m)\nQuad (unitless)\nPocillopora (percent (%))\nAll_stony_corals (percent (%))\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_918265_v1/index.htmlTable https://www.bco-dmo.org/dataset/918265 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_918265_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_918265_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_918265_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_918306_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_918306_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_918306_v1/ public [Edmunds et al. 2023 Oecologia: Flow Speeds] - Flow speed on the north shore of Moorea, French from 2007 to 2021 (Moorea Coral Reef Long-Term Ecological Research site) Data Abstract:\n\nThese data describe bottom and surface flow speed on the north shore of Moorea from 2007 to 2021.\n\nResults paper abstract, Edmunds et al. (2023) :\n* [See \"Related Datasets\" section for access to related datasets discussed here]\n\nUnderstanding population dynamics is a long-standing objective of ecology, but the need for progress in this area has become urgent. For coral reefs, achieving this objective is impeded by a lack of information on settlement versus post-settlement events in determining recruitment and population size. Declines in coral abundance are often inferred to be associated with reduced densities of recruits, which could arise from mechanisms occurring at larval settlement, or throughout post-settlement stages. This study uses annual measurements from 2008 to 2021 of coral cover, the density of coral settlers (S), the density of small corals (SC), and environmental conditions, to evaluate the roles of settlement versus post-settlement events in determining rates of coral recruitment and changes in coral cover at Moorea, French Polynesia. Coral cover, S, SC, and the SC:S ratio (a proxy for post-settlement success), and environmental conditions, were used in generalized additive models (GAMs) to show that: (a) coral cover was more strongly related to SC and SC:S than S, and (b) SC:S was highest when preceded by cool seawater, low concentrations of Chlorophyll a, and low flow speeds, and S showed evidence of declining with elevated temperature. Together, these results suggest that changes in coral cover in Moorea are more strongly influenced by post-settlement events than settlement. The key to understanding coral community resilience may lie in elucidating the factors attenuating the bottleneck between settlers and small corals.\n\ncdm_data_type = Other\nVARIABLES:\nYear (unitless)\nMonth (unitless)\nBottom_flow (meters per second (m/s))\nSurface_flow (meters per second (m/s))\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_918306_v1/index.htmlTable https://www.bco-dmo.org/dataset/918306 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_918306_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_918306_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_918306_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_918318_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_918318_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_918318_v1/ public [Edmunds et al. 2023 Oecologia: Seawater Temperature] - Benthic seawater temperature at 10m depth in Moorea, French Polynesia from 2005 to 2021 (Moorea Coral Reef Long-Term Ecological Research site) Data Abstract:\n\nBenthic seawater temperature from bottom-mounted thermistors deployed in Moorea, French Polynesia. \n These seawater temperature data support the temperature analysis in Edmunds et al. (2023).\n\n\nResults paper abstract, Edmunds et al. (2023) :\n* [See \"Related Datasets\" section for access to related datasets discussed here]\n\nUnderstanding population dynamics is a long-standing objective of ecology, but the need for progress in this area has become urgent. For coral reefs, achieving this objective is impeded by a lack of information on settlement versus post-settlement events in determining recruitment and population size. Declines in coral abundance are often inferred to be associated with reduced densities of recruits, which could arise from mechanisms occurring at larval settlement, or throughout post-settlement stages. This study uses annual measurements from 2008 to 2021 of coral cover, the density of coral settlers (S), the density of small corals (SC), and environmental conditions, to evaluate the roles of settlement versus post-settlement events in determining rates of coral recruitment and changes in coral cover at Moorea, French Polynesia. Coral cover, S, SC, and the SC:S ratio (a proxy for post-settlement success), and environmental conditions, were used in generalized additive models (GAMs) to show that: (a) coral cover was more strongly related to SC and SC:S than S, and (b) SC:S was highest when preceded by cool seawater, low concentrations of Chlorophyll a, and low flow speeds, and S showed evidence of declining with elevated temperature. Together, these results suggest that changes in coral cover in Moorea are more strongly influenced by post-settlement events than settlement. The key to understanding coral community resilience may lie in elucidating the factors attenuating the bottleneck between settlers and small corals.\n\ncdm_data_type = Other\nVARIABLES:\nSite (unitless)\nData_Source (unitless)\nISO_Date (unitless)\n... (4 more variables)\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_918318_v1/index.htmlTable https://www.bco-dmo.org/dataset/918318 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_918318_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_918318_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_918318_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_918324_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_918324_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_918324_v1/ public [Edmunds et al. 2023 Oecologia: Settler Density] - Density of coral settlers detected on settlement tiles each year at two 10m sites on the north shore of Moorea, French Polynesia from 2008 to 2020 (Moorea Coral Reef Long-Term Ecological Research site) Data Abstract:\n\nThese data describe the number of coral settlers detected on settlement tiles each year, with annual settlement determined by adding mean recruits on tiles retrieved in Jan/Feb to mean density on tiles retrieved Aug/Sept.\n\n\nResults paper abstract, Edmunds et al. (2023) :\n* [See \"Related Datasets\" section for access to related datasets discussed here]\n\nUnderstanding population dynamics is a long-standing objective of ecology, but the need for progress in this area has become urgent. For coral reefs, achieving this objective is impeded by a lack of information on settlement versus post-settlement events in determining recruitment and population size. Declines in coral abundance are often inferred to be associated with reduced densities of recruits, which could arise from mechanisms occurring at larval settlement, or throughout post-settlement stages. This study uses annual measurements from 2008 to 2021 of coral cover, the density of coral settlers (S), the density of small corals (SC), and environmental conditions, to evaluate the roles of settlement versus post-settlement events in determining rates of coral recruitment and changes in coral cover at Moorea, French Polynesia. Coral cover, S, SC, and the SC:S ratio (a proxy for post-settlement success), and environmental conditions, were used in generalized additive models (GAMs) to show that: (a) coral cover was more strongly related to SC and SC:S than S, and (b) SC:S was highest when preceded by cool seawater, low concentrations of Chlorophyll a, and low flow speeds, and S showed evidence of declining with elevated temperature. Together, these results suggest that changes in coral cover in Moorea are more strongly influenced by post-settlement events than settlement. The key to understanding coral community resilience may lie in elucidating the factors attenuating the bottleneck between settlers and small corals.\n\ncdm_data_type = Other\nVARIABLES:\nYear (unitless)\nSite (unitless)\nAll_corals (number of settlers per tile)\nPocillopora (number of settlers per tile)\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_918324_v1/index.htmlTable https://www.bco-dmo.org/dataset/918324 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_918324_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_918324_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_918324_v1
log in [Edmunds et al. 2023 Oecologia: Small Coral Density] - Density of small corals at two 10m sites on the north shore of Moorea, French Polynesia from 2005 to 2021 (Moorea Coral Reef Long-Term Ecological Research site) Data Abstract:\n\nThese data describe the density of small corals (colonies ≤ 4 cm diameter) in quadrats (0.5 x 0.5 m) in size on the benthos at 10 m depth at LTER1 and LTER2 on the north shore of Moorea.\n\n\n\nResults paper abstract, Edmunds et al. (2023) :\n* [See \"Related Datasets\" section for access to related datasets discussed here]\n\nUnderstanding population dynamics is a long-standing objective of ecology, but the need for progress in this area has become urgent. For coral reefs, achieving this objective is impeded by a lack of information on settlement versus post-settlement events in determining recruitment and population size. Declines in coral abundance are often inferred to be associated with reduced densities of recruits, which could arise from mechanisms occurring at larval settlement, or throughout post-settlement stages. This study uses annual measurements from 2008 to 2021 of coral cover, the density of coral settlers (S), the density of small corals (SC), and environmental conditions, to evaluate the roles of settlement versus post-settlement events in determining rates of coral recruitment and changes in coral cover at Moorea, French Polynesia. Coral cover, S, SC, and the SC:S ratio (a proxy for post-settlement success), and environmental conditions, were used in generalized additive models (GAMs) to show that: (a) coral cover was more strongly related to SC and SC:S than S, and (b) SC:S was highest when preceded by cool seawater, low concentrations of Chlorophyll a, and low flow speeds, and S showed evidence of declining with elevated temperature. Together, these results suggest that changes in coral cover in Moorea are more strongly influenced by post-settlement events than settlement. The key to understanding coral community resilience may lie in elucidating the factors attenuating the bottleneck between settlers and small corals.\n\ncdm_data_type = Other\nVARIABLES:\nYear (unitless)\nSite (unitless)\nQuadrat (unitless)\nPocillopora (per colony)\nAll_corals (per colony)\n BCO-DMO bcodmo_dataset_918330_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_918312_v1 https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_918312_v1/ public [Edmunds et al. 2023 Oecologia: Water Clarity] - Seawater clarity in Moorea, French Polynesia from 2003 to 2022 (Moorea Coral Reef Long-Term Ecological Research site) Data Abstract:\n\nThese data describe seawater clarity (as measured through Kd490) with data accessed 15 March 2022.\n\nResults paper abstract, Edmunds et al. (2023) :\n* [See \"Related Datasets\" section for access to related datasets discussed here]\n\nUnderstanding population dynamics is a long-standing objective of ecology, but the need for progress in this area has become urgent. For coral reefs, achieving this objective is impeded by a lack of information on settlement versus post-settlement events in determining recruitment and population size. Declines in coral abundance are often inferred to be associated with reduced densities of recruits, which could arise from mechanisms occurring at larval settlement, or throughout post-settlement stages. This study uses annual measurements from 2008 to 2021 of coral cover, the density of coral settlers (S), the density of small corals (SC), and environmental conditions, to evaluate the roles of settlement versus post-settlement events in determining rates of coral recruitment and changes in coral cover at Moorea, French Polynesia. Coral cover, S, SC, and the SC:S ratio (a proxy for post-settlement success), and environmental conditions, were used in generalized additive models (GAMs) to show that: (a) coral cover was more strongly related to SC and SC:S than S, and (b) SC:S was highest when preceded by cool seawater, low concentrations of Chlorophyll a, and low flow speeds, and S showed evidence of declining with elevated temperature. Together, these results suggest that changes in coral cover in Moorea are more strongly influenced by post-settlement events than settlement. The key to understanding coral community resilience may lie in elucidating the factors attenuating the bottleneck between settlers and small corals.\n\ncdm_data_type = Other\nVARIABLES:\nUTC_time (unitless)\nKd490 (m-1)\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_918312_v1/index.htmlTable https://www.bco-dmo.org/dataset/918312 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_918312_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_918312_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_918312_v1
log in [Eelgrass seed phenotypes] - Number and mass of eelgrass seeds collected from sediment cores in shallow and deep zones at four coastal sites in Massachusetts, USA in 2019 (RUI: Collaborative Research: Trait differentiation and local adaptation to depth within meadows of the foundation seagrass Zostera marina) This dataset includes the number and mass of eelgrass seeds collected from sediment cores in shallow and deep zones at four different sites in Massachusetts, USA in 2019. The four sites were West Beach in Beverly (N 42.55921, W 70.80578), Curlew Beach in Nahant (N 42.42009, W 70.91553), Lynch Park in Beverly (N 42.54488, W 70.85842), and Niles Beach in Gloucester (N 42.59711, W 70.65592). Like many marine foundation species, eelgrass often spans strong environmental gradients over relatively small spatial scales - this data set provides information on seed retention and seed size across the depth gradient at multiple sites in the Gulf of Maine. Seeds measured and counted in this dataset were subsequently genotyped to infer source.\n\ncdm_data_type = Other\nVARIABLES:\nDate (unitless)\nSite (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\nDepth (unitless)\nPermanent_Quad (unitless)\nCore (unitless)\nSeed_number (unitless)\nMass (grams (g))\nRAD_name (unitless)\n BCO-DMO bcodmo_dataset_939488_v1
log in [Eelgrass shoot density and above-ground biomass] - Quadrat-based measurements of eelgrass shoot density and above-ground biomass for plants growing in shallow and deep zones at four coastal sites in Massachusetts, USA in 2019 (RUI: Collaborative Research: Trait differentiation and local adaptation to depth within meadows of the foundation seagrass Zostera marina) This dataset includes quadrat-based measurements of eelgrass shoot density and above-ground biomass for plants growing in shallow and deep zones at four different sites in Massachusetts, USA in 2019. The four sites were West Beach in Beverly (N 42.55921, W 70.80578), Curlew Beach in Nahant (N 42.42009, W 70.91553), Lynch Park in Beverly (N 42.54488, W 70.85842), and Niles Beach in Gloucester (N 42.59711, W 70.65592). Like many marine foundation species, eelgrass often spans strong environmental gradients over relatively small spatial scales - this data set provides information on phenotypic differentiation across the depth gradient at multiple sites in the Gulf of Maine.\n\ncdm_data_type = Other\nVARIABLES:\nDate (unitless)\nSite (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\nDepth (unitless)\nPermanent_Quadrat (unitless)\nVegetative_Density (number/0.25m^2)\nFlowering_Density (number/0.25m^2)\nTotal_Density (number/0.25m^2)\nBiomass (grams (g))\n BCO-DMO bcodmo_dataset_939467_v1
log in [Eelgrass shoot lengths] - Eelgrass shoot lengths measured at two depths within each of four coastal sites in Massachusetts, USA in 2019 (RUI: Collaborative Research: Trait differentiation and local adaptation to depth within meadows of the foundation seagrass Zostera marina) This dataset includes eelgrass shoot lengths measured at two depths within each of four different sites in Massachusetts, USA in late June and early July 2019. Like many marine foundation species, eelgrass often spans strong environmental gradients over relatively small spatial scales - this data set provides information on phenotypic differentiation across the depth gradient at multiple sites in the Gulf of Maine.\n\ncdm_data_type = Other\nVARIABLES:\nDate (unitless)\nSite (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\nDepth (unitless)\nPermanent_Quadrat (unitless)\nSample_Quadrat (unitless)\nHeight (centimeters (cm))\n BCO-DMO bcodmo_dataset_939440_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_918546_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_918546_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_918546_v1/ public [Effect of phenotypic variation on dogwhelk morphology during eco-evolutionary field experiment] - Effect of phenotypic variation on dogwhelk morphology during an eco-evolutionary field experiment (Coastal mosaics of local adaptation and the eco-evolutionary dynamics of a marine predator-prey interaction) Although there is a growing body of work indicating that ecological and evolutionary processes can have reciprocal feedbacks on one another, few studies have tested these feedbacks in natural field settings at the community level. We tested the ecological consequences of selection on intra-population variation in dogwhelk drilling. We reared juvenile dogwhelks (Nucella canaliculata) on four early-life diet treatments (thin-shelled Mytilus trossulus, two treatments of M. californianus from two populations known to differ in adult shell thickness, and acorn barnacles) and then outplanted the dogwhelks to field cages to quantify the community effects of variation in drilling phenotype on mussel bed succession over a year. Changes in Nucella canaliculata morphology (change in length) were determined over the course of the experiment.\n\ncdm_data_type = Other\nVARIABLES:\nBlock (unitless)\nPlot_Number (unitless)\nPlot_Tidal_Height (meters (m))\nFamily (unitless)\nSite_Latitude (degrees_north)\nlongitude (Site_longitude, degrees_east)\nTreatment (unitless)\nFamily_x_Treatment (unitless)\nSnail_ID (unitless)\nSnail_Tag (unitless)\nSex (unitless)\nLength_initial (millimeters (mm))\nLength_final (millimeters (mm))\nLength_change (millimeters (mm))\nDead_vs_Replaced_vs_Never_found (unitless)\nDate_dead_or_replaced (unitless)\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_918546_v1/index.htmlTable https://www.bco-dmo.org/dataset/918546 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_918546_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_918546_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_918546_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_918401_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_918401_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_918401_v1/ public [Effects of early-life diet on mortality of juvenile Nucella canaliculata] - Effects of early-life diet on mortality of juvenile Nucella canaliculata quantified in the laboratory after 3 months on experimental diets (Coastal mosaics of local adaptation and the eco-evolutionary dynamics of a marine predator-prey interaction) The field of eco-evolutionary dynamics analyzes the reciprocal impacts that ecological and evolutionary processes have on one another on contemporary timescales. A promising approach for studying eco-evolutionary dynamics is to explore whether variation acting over rapid timescales can impose selection on existing within population-variation in functional traits. The Bodega Marine Reserve population of the Channeled Dogwhelk, Nucella canaliculata, contains a mix of drilling phenotypes. A selection experiment was performed to determine the effects of four early-life diet treatments (thin-shelled Mytilus trossulus mussels, two treatments of M. californianus from two populations known to differ in shell thickness, and acorn barnacles) on N. canaliculata phenotype. Dogwhelks were hatched in the laboratory and mortality of juvenile dogwhelks was quantified in the laboratory after 3 months on the experimental diets.\n\ncdm_data_type = Other\nVARIABLES:\nFamily (unitless)\nPopulation (unitless)\nSite_Latitude (degrees_north)\nlongitude (Site_longitude, degrees_east)\nTreatment (unitless)\nThree_Month_Mortality (percent (%))\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_918401_v1/index.htmlTable https://www.bco-dmo.org/dataset/918401 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_918401_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_918401_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_918401_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_918460_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_918460_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_918460_v1/ public [Effects of early-life diet on Nucella canaliculata drilling phenotype] - Effects of early-life diet on Nucella canaliculata drilling phenotype quantified in the laboratory after rearing on different prey treatments (Coastal mosaics of local adaptation and the eco-evolutionary dynamics of a marine predator-prey interaction) The growing field of eco-evolutionary dynamics has highlighted the importance of reciprocal feedbacks between evolutionary and ecological processes. We tested whether selection could act on existing within-population variation in a predatory trait in the marine dogwhelk, Nucella canaliculata. We reared newly hatched dogwhelks on four prey treatments (thin-shelled Mytilus trossulus, two treatments of M. californianus from two populations known to differ in adult shell thickness, and acorn barnacles). To quantify dogwhelk phenotype, we tested the surviving adult dogwhelks on their ability to drill mid-sized (5-7cm long) M. californianus. We found evidence that dogwhelk phenotype varied among the early-life diet treatments.\n\ncdm_data_type = Other\nVARIABLES:\nContainer (unitless)\nRound (unitless)\nPopulation (unitless)\nSite_Latitude (degrees_north)\nlongitude (Site_longitude, degrees_east)\nFamily (unitless)\nTreatment (unitless)\nFamily_x_Treatment (unitless)\nSnail (unitless)\nDrilled_Binary (unitless)\nTotal_Drilled (unitless)\nCheck_1 (unitless)\nCheck_2 (unitless)\nCheck_3 (unitless)\nCheck_4 (unitless)\nCheck_5 (unitless)\nDead (unitless)\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_918460_v1/index.htmlTable https://www.bco-dmo.org/dataset/918460 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_918460_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_918460_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_918460_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_918582_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_918582_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_918582_v1/ public [Effects of intra-population variation in dogwhelk drilling on the abundance and size of Mytilus californianus mussels] - Effects of intra-population variation in dogwhelk drilling on the abundance and size of Mytilus californianus mussels (Coastal mosaics of local adaptation and the eco-evolutionary dynamics of a marine predator-prey interaction) Few eco-evolutionary studies have analyzed the impacts that evolutionary processes have on community dynamics in a natural field setting. We studied the effects of intra-population variation in predation in a marine dogwhelk (Nucella canaliculata) on mussel bed succession. We outplanted dogwhelks that were reared on four early-life diet treatments and showed evidence of differential mortality and variation in drilling capacity in the lab to experimental field cages and followed the trajectory of succession over the course of a year. At the end of the experiment, the organisms within the cages were collected and the mussels (Mytilus californianus) were measured. Mussels represent the end stage of succession, thus we studied whether variation in drilling traits would impact the size and structure of the mussel bed.\n\ncdm_data_type = Other\nVARIABLES:\nBlock (unitless)\nPlot_Number (unitless)\nSite_Latitude (degrees_north)\nlongitude (Site_longitude, degrees_east)\nDate (unitless)\nLength (millimeters (mm))\nLive_vs_Dead (unitless)\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_918582_v1/index.htmlTable https://www.bco-dmo.org/dataset/918582 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_918582_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_918582_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_918582_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_880924_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_880924_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_880924_v1/ public [Effects of protists on HBx predation] - Population changes in Halobacteriovorax cultured with protist & prey (Excellence in Research: Assessing the Control by Multiple Micropredators on Bacterial Communities in Estuarine Environments and Characterization of Prey Lysis Products Resulting from Each Predator) Here, we investigate the growth trajectory and predation dynamics of protists, and HBx micro-predators in co-culture with a common prey, V. parahaemolyticus, in a time-series study in marine water microcosms. The microcosms were established with water samples collected from the Apalachicola Bay in northwest Florida, USA and amended with a suspension of prey bacteria. Samples were taken at a high temporal resolution (3-hour intervals for 5 days) to capture detailed measurements and changes in the growth responses of HBx and protists, using both culture- and molecular-based methods. The protists were counted by qPCR and flow cytometry. The HBx were counted by qPCR and a culture plating method\n\ncdm_data_type = Other\nVARIABLES:\nTreatment (unitless)\nTime (hours)\nOptical_Density (OD units)\nProtists (counts per ml)\nVibrio (gene copies per reaction)\nHalobacteriovorax (gene copies per reaction)\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_880924_v1/index.htmlTable https://www.bco-dmo.org/dataset/880924 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_880924_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_880924_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_880924_v1
log in [EK80 Antarctic Krill Swarms] - Krill swarms detected with active acoustic EK80 onboard small boat surveys in Palmer Deep Canyon, Antarctica during January-March 2020 (Collaborative Research: Physical Mechanisms Driving Food Web Focusing in Antarctic Biological Hotspots) These data include identified krill swarms observed by a hull-mounted SIMRAD EK80 single-beam, single frequency (120 kHz) echo sounder (Kongsberg Maritime) hereby referred to as “EK80”. Data were collected in Palmer Deep Canyon, Antarctica during January-March 2020. Small boat surveys were conducted twice weekly over known penguin foraging areas. EK80 data were processed using Echoview software and backscattering zooplankton were identified as krill when within a target strength of -70 dB to -30 dB.\n\nThe EK80 survey was designed in concert with the ACROBAT, HFR and mooring observations to provide a wholistic view of the food web. Observing the distribution of krill swarms and their correlation with other ecosystem variables is important for understanding how the Palmer Deep ecosystem, and other coastal ecosystems globally, respond to complex coastal ocean currents and ways this system may be resilient to rapid warming. The collection and processing of these data was headed by Ashley Hann and Dr. Kim Bernard.\n\ncdm_data_type = Other\nVARIABLES:\nDate_M (unitless)\nTime_M (unitless)\ntime (Iso8601, seconds since 1970-01-01T00:00:00Z)\nlongitude (Lon_m, degrees_east)\nlatitude (Lat_m, degrees_north)\ndepth (Depth_mean, m)\nSv_mean (dB)\nNASC (m²/nmi²)\nHeight_mean (Meters (m))\nThickness_mean (Meters (m))\nLength (Meters (m))\nmld (Meters (m))\nsurface (Binary)\n BCO-DMO bcodmo_dataset_949922_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_988636_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_988636_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_988636_v1/ public [Electron microprobe elemental bulk composition from seafloor sulfide deposits East Pacific Rise 9-10 North] - Electron microprobe elemental bulk composition from seafloor sulfide deposits East Pacific Rise 9-10 North (Collaborative Research: From hot to cold in the dark - shifts in seafloor massive sulfide microbial communities as physical and geochemical conditions change after venting ceases) Electron microprobe elemental bulk composition were collected for seafloor sulfide deposits. Seafloor sulfide mineral samples were collected from hydrothermally active chimneys and inactive off-axis massive sulfide deposits at East Pacific Rise (EPR) 9.50°N in 2019-2021 on cruises AT42-09, AT42-21 and RR2102. Samples were collected using the HOV Alvin or ROV JASON II. Samples were placed in a positive-pressure glove bag flushed with N2 (g), sparged with N2, heat-sealed into mylar bags containing Anaeropaks, and stored at -20°C.\n\nEpoxy embedded petrographic thin sections were created using these samples. Subsamples were dried for 24 hours under N2 (g), vacuum embedded in epoxy resin (Struers EpoFix Resin, 1L kit: Part #40200030) following manufacturer's guidelines, and cured under N2 (g) for 24 hours. Each epoxy-embedded sample was pre-cut using a wafering saw then sent to Spectrum Petrographics, Inc. (Washington, USA) for preparation as 30 micron thick, double-polished thin sections mounted on quartz slides using methods to limit sample exposure to water and ambient air. When not in use, thin-sections were stored under N2 (g) to limit oxidation. Thin sections were analyzed for electron microprobe bulk elemental data using a JEOL JXA-8530FPlus Electron Probe Microanalyzer at the Electron Microprobe Laboratory, Earth and Environmental Sciences-Twin Cities, University of Minnesota.\n\ncdm_data_type = Other\nVARIABLES:\nSample_name (unitless)\nMap_name (unitless)\nreplicate_ID (unitless)\noriginal_source_filename (unitless)\nlatitude (Latitude_dd, degrees_north)\nlongitude (Longitude_dd, degrees_east)\ndepth (Depth_mbs, m)\nHeading_deg (degrees)\nDate_collected_MMDDYYYY (unitless)\nTime_collected (unitless)\nweight_concentration_percentage_O (weight percent (wt %))\n... (33 more variables)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_988636_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_988636_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_988636_v1/index.htmlTable https://osprey.bco-dmo.org/dataset/988636 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_988636_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_988636_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_988636_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_1000767_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_1000767_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_1000767_v1/ public [EMB276 Baltic Sea iodine depth profiles 2021] - Iodine speciation depth profile measurements from the Gotland Deep and Fårö Deep, Baltic Sea, collected aboard R/V Elisabeth Mann Borgese cruise EMB276 in Sep 2021 (Collaborative Research: Manganese Cycling and Coupling Across Redox Boundaries within Stratified Basins of the Baltic Sea) The Baltic Sea samples were collected from depth profiles including the surface layer and chemocline at 6 stations in the Gotland Deep and 1 station from the adjacent Fårö Deep, during the R/V Elisabeth Mann Borgese EMB276 cruise September 17 to 29, 2021. The samples focused on these intervals to understanding the cycling of iodine and other redox-sensitive elements at low but present oxygen conditions. Measurements for iodine speciation were made at Michigan State University within 1 year of sampling. Methods specifically applied iodine exchange chromatography to separate and individually measure each total dissolved iodine, dissolved iodate, dissolved iodide, and dissolved organic iodine with inductively coupled plasma mass spectrometry.\n\ncdm_data_type = Other\nVARIABLES:\nsample_ID (unitless)\nstation_number (unitless)\ndepth (m)\niodide_concentration (nanomole/kg)\niodate_concentration (nanomole/kg)\niodate_concentration_flag (unitless)\nDOI_concentration (nanomole/kg)\nDOI_concentration_flag (unitless)\nTotal_I_concentration (nanomole/kg)\ntime (Iso_datetime_collected_utc, seconds since 1970-01-01T00:00:00Z)\nlatitude (degrees_north)\nlongitude (degrees_east)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_1000767_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_1000767_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_1000767_v1/index.htmlTable https://osprey.bco-dmo.org/dataset/1000767 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_1000767_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_1000767_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_1000767_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_886999_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_886999_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_886999_v1/ public [Emergence trap sampling of gnathiid isopods at Lizard Island 2016-2018] - Emergence trap sampling of gnathiid isopods at Lizard Island, GBR, Australia from 2016-2018 (Beyond Cleaning and Symbiosis: Ecology of 'Ticks of the Sea' on Coral Reefs) This dataset contains abundance data for Gnathiid isopods, as well as collection metadata. These data were collected as part of a long-term monitoring study of fish-parasitic gnathiid isopods on shallow patch reefs at Lizard Island, Great Barrier Reef, Australia. The data cover the period from 2000 to 2018. Gnathiid isopods, which spend most of their life free-living, were collected using 1-meter square by 1-meter high pyramid-shaped emergence traps placed randomly on the substrate. The total soak time for the traps was approximately 24 hours, divided into day vs night periods. Some of the patch reefs had cleaner fish, which are known predators of gnathiid isopods, removed over the course of the study (removal) while for others, cleaner fish remained (control).\n\ncdm_data_type = Other\nVARIABLES:\nArea_sampled_identifier (unitless)\nSampling_date_identifier (unitless)\nSampling_trip_number (unitless)\nTrap_identity (unitless)\nMonthyear (unitless)\nSite (unitless)\nReef_identity (unitless)\nCleaner_presence_treatment (unitless)\nDaynight (unitless)\nVial_identity (unitless)\nIsopod_count (unitless)\nTime_of_day (unitless)\nSoaktime (unitless)\nFullmoondate (unitless)\nLunation_number (unitless)\nFullmoondate_number (unitless)\nDay_sampled (unitless)\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_886999_v1/index.htmlTable https://osprey.bco-dmo.org/dataset/886999 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_886999_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_886999_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_886999_v1
log in [EN584 Bulk PA FlaPS Rates] - Polysaccharide hydrolysis rates from bulk water and 3 µm retained fraction (particle-associated) incubations in the Northwest Atlantic aboard the R/V Endeavor cruise EN584 from Jun to Jul 2016 (Latitudinal and depth-related contrasts in enzymatic capabilities of pelagic microbial communities: Predictable patterns in the ocean?) The potential of the seawater microbial community to hydrolyze six high-molecular-weight polysaccharides (arabinogalactan, chondroitin sulfate, fucoidan, laminarin, pullulan, and xylan) was investigated at various sites and depths of the Northwest Atlantic. Nearshore waters close to Cape Hatteras/Cape Lookout, and a transect along ~36° N out to ~58° W were collected during the summer of 2016, aboard the R/V Endeavor cruise EN584. Hydrolysis of high molecular weight substrates to lower molecular weight hydrolysis products was measured using gel permeation chromatography with fluorescence detection, after the method of Arnosti (1996, 2003). This dataset includes polysaccharide hydrolysis rates to measure microbial enzyme activities from bulk water and 3 µm retained fraction (particle-associated) incubations.\n\ncdm_data_type = Other\nVARIABLES:\nDeployment (unitless)\nstn (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\nISO_DateTime_Local (unitless)\ntime (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\ncast_number (unitless)\ndepth_sequence (unitless)\ndepth (Depth_actual, m)\nsample_type (unitless)\namended_unamended (unitless)\nsubstrate (unitless)\ntimepoint (unitless)\ntime_elapsed_hr (hours)\nrep1_rate (nM*hr-1)\nrep2_rate (nM*hr-1)\nrep3_rate (nM*hr-1)\naverage (nM*hr-1)\nstd_dev (nM*hr-1)\n BCO-DMO bcodmo_dataset_986681_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_994900_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_994900_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_994900_v1/ public [EN638 LV Cell Counts] - Cell abundance in HMW-DOM amended mesocosm incubations from water collected in the Western North Atlantic during the research cruise EN638 in May 2019 aboard R/V Endeavor (A mechanistic microbial underpinning for the size-reactivity continuum of dissolved organic carbon degradation) Marine dissolved organic matter (DOM) is one of the largest actively-cycling reservoirs of organic carbon on the planet, and thus a major component of the global carbon cycle. The existence of a size-reactivity continuum of DOM - observations and measurements showing that high molecular weight (HMW) DOM tends to be younger and more reactive than lower MW DOM - has been demonstrated in laboratory and field investigations in different parts of the ocean. A mechanistic explanation for the greater reactivity of HMW DOM has been lacking, however.  \n \nHere we investigated the potential of seawater microbial communities from different water masses and under differing conditions of organic matter availability to hydrolyze six high-molecular-weight polysaccharides (arabinogalactan, chondroitin sulfate, fucoidan, laminarin, pullulan, and xylan). Samples were taken from incubation experiments of DCM, OMZ, and bottom waters aboard R/V Endeavor (EN638), May 2019 in the Northern Atlantic.\n \nThis dataset includes the measurement of cell abundance from samples taken from mesocosm incubations after the addition of HMW DOM.\n\ncdm_data_type = Other\nVARIABLES:\nDeployment (unitless)\nStation (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\ntime_sampled_EDT (unitless)\ntime (Time_sampled_utc, seconds since 1970-01-01T00:00:00Z)\ncast_number (unitless)\ndepth_sequence (unitless)\ndepth (Depth_m, m)\nin_situ_temp (degrees Celsius)\nincub_temp (degrees Celsius)\nsample_type (unitless)\nunammended_ammended (unitless)\n... (4 more variables)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_994900_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_994900_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_994900_v1/index.htmlTable https://osprey.bco-dmo.org/dataset/994900 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_994900_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_994900_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_994900_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_915709_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_915709_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_915709_v1/ public [EN669 Bottle Data] - Carbonate chemistry analyses (total alkalinity, DIC, and d13C of DIC) from discrete bottle samples and CTD data from 12 stations sampled during R/V Endeavor cruise EN669 in the Gulf of Maine during August 2021 (CAREER: Gulf of Maine Temperature Trends and Variability from the early Holocene to the Present) This dataset includes seawater properties observed during cruise EN669 on the R/V Endeavor in the Gulf of Maine, conducted in August 2021 by PI Katherine Allen and the shipboard science party. Included are data from twelve CTD/Niskin rosette casts at twelve different stations accompanied by carbonate chemistry analyses (total alkalinity, DIC, and d13C of DIC) from discrete bottle samples collected during each cast. Bottle samples were analyzed by Adam Subhas at the Woods Hole Oceanographic Institution after the cruise was complete. Data from CTD casts were collected by the Endeavor's shipboard scientific party. These Gulf of Maine seawater observations provide constraints on growth conditions of synchronously collected foraminifera, enabling geochemical paleo-proxies to be assessed and refined for regional paleoceanographic reconstructions.\n\ncdm_data_type = Other\nVARIABLES:\nCTD_Cast (unitless)\nNiskin (unitless)\nPotTemp (degrees Celsius)\nSal (unitless)\nDepthm (meters (m))\nDIC_Bottle (unitless)\nDICumolkg (micromoles per kilogram seawater)\nd13Cpermil (permille vs PDB)\ntalkumolkg (micromoles per kilogram seawater)\nDICsd (micromoles per kilogram seawater)\nd13Csd (permille vs PDB)\ntalksd (micromoles per kilogram seawater)\nScan (unitless)\nTimeJ (days)\nTimeS (seconds)\nPrDM (meters (m))\nT090C (degrees Celsius)\nT190C (degrees Celsius)\nT2_T190C (degrees Celsius)\n... (39 more variables)\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_915709_v1/index.htmlTable https://www.bco-dmo.org/dataset/915709 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_915709_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_915709_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_915709_v1
log in [EN683 Bacterial Productivity] - Bacterial Productivity measurement of bulk seawater and mesocosm experiments taken aboard the R/V Endeavor in the Western North Atlantic during the research cruise EN683 in May and June, 2022 (Substrate structural complexity and abundance control distinct mechanisms of microbially-driven carbon cycling in the ocean) This dataset includes the measurement of 3H-leucine incorporation by heterotrophic bacteria (a proxy for bacterial productivity) using a cold trichloroacetic acid (TCA) and microcentrifuge extraction method (Kirchman, 2001). Samples were collected at different sites in the Western North Atlantic and from mesocosm experiments using seawater from those sites. All work and incubations were performed in a UNOLS isotope lab aboard R/V Endeavor during the research cruise EN683 (2022-05-24 to 2022-06-12), or within designated areas at the University of North Carolina at Chapel Hill post cruise.\n \nThis research tested the hypothesis that the mechanism of polysaccharide processing is related to the cost to a cell of producing the enzymes required for its hydrolysis, and the probability that a cell will receive sufficient return on investment for producing the enzymes. Our conceptual model suggests that external (extracellular) hydrolysis is favored when organic matter is abundant, or when enzyme production costs can be shared (e.g., on particles, in biofilms); selfish uptake (hydrolysis without production of low molecular weight products in the environment) would be a better strategy when high molecular weight (HMW) organic matter is scarce, and particularly when the HMW organic matter is very complex. We measured bacterial 3H-leucine incorporation (bacterial productivity) at different depths in the water column at multiple stations, in mesocosm experiments.\n \nThis dataset includes experiments for which bacterial productivity was measured: bulk water and mesocosm experiments, measurement of bacterial productivity from distinct depths in the water column, and measurement of bacterial productivity in mesocosm experiments of seawater with and without the addition of HMW organic matter, or in surface seawater with and without the addition of live sargassum plants at atmospheric and deep-sea pressures.\n\ncdm_data_type = Other\nVARIABLES:\ndeployment (unitless)\nstation (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\n... (22 more variables)\n BCO-DMO bcodmo_dataset_985783_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_988643_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_988643_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_988643_v1/ public [EN683 FLA-Bead Data and ULake] - Detection of polysaccharide enzymatic hydrolysis using a novel detection method from waters taken aboard the R/V Endeavor in the Western North Atlantic (EN683 in May and June, 2022), and from a freshwater lake in North Carolina in 2025 (Substrate structural complexity and abundance control distinct mechanisms of microbially-driven carbon cycling in the ocean) A key focus of this project's field work is investigating the potential of marine heterotrophic microbial communities from different water masses and under differing conditions of organic matter availability to hydrolyze six well-characterized high-molecular-weight (HMW) polysaccharides (arabinogalactan, chondroitin sulfate, fucoidan, laminarin, pullulan, and xylan). However, the current method is extremely work-intensive, and results are usually acquired months after initial sampling. Having a proxy to determine real-time enzymatic activity would be useful for scientists doing field work because it would provide a guide as to when and where optimal conditions are located to conduct water column sampling. In an effort to improve field detection techniques, a novel and relatively rapid detection method was developed to detect the hydrolysis of fluorescently-labeled laminarin that is linked to epoxy-activated-agarose beads. Laminarin was used because it is commonly found throughout the surface water of the ocean (Becker et al. 2020). Our goal is to detect potential enzymatic activity within 48 hours using minimal lab equipment while maintaining an accuracy similar to the current standard method used in previous research. Furthermore, we hope the method will provide real-time information for scientists in the field. \n \nThis dataset includes the detection of polysaccharide enzymatic hydrolysis using a novel and relatively rapid detection method from waters taken aboard the R/V Endeavor in the Western North Atlantic during the research cruise EN683 in May and June, 2022, and from a local freshwater lake.\n\ncdm_data_type = Other\nVARIABLES:\ndeployment (unitless)\nstation (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\nsample_date (unitless)\nsample_time (unitless)\nISO_DateTime_Local (unitless)\nsource (unitless)\ndepth (Depth_actual, m)\ntemperature (degrees Celsius)\n... (12 more variables)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_988643_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_988643_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_988643_v1/index.htmlTable https://osprey.bco-dmo.org/dataset/988643 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_988643_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_988643_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_988643_v1
log in [EN683 LV and Bulk FLA Rates] - Polysaccharide hydrolysis rates from mesocosm and bulk water incubations from waters taken aboard the R/V Endeavor in the Western North Atlantic during the research cruise EN683 in May and June 2022 (Substrate structural complexity and abundance control distinct mechanisms of microbially-driven carbon cycling in the ocean) This dataset includes measurements of polysaccharide hydrolase activities in large volume mesocosm and bulk water incubations. Seawater was collected aboard R/V Endeavor during the research cruise EN683 (2022-05-24 to 2022-06-12). The potential of the seawater microbial community to hydrolyze six high-molecular-weight polysaccharides (arabinogalactan, chondroitin sulfate, fucoidan, laminarin, pullulan, and xylan) was investigated in the DCM and bottom water. Waters for bulk incubation were taken at three sites and various depths. Mesocosm incubations were taken at two sites and two depths.\n\nThis research tested the hypothesis that the mechanism of polysaccharide processing is related to the cost to a cell of producing the enzymes required for its hydrolysis, and the probability that a cell will receive sufficient return on investment for producing the enzymes. Our conceptual model suggests that external (extracellular) hydrolysis is favored when organic matter is abundant, or when enzyme production costs can be shared (e.g., on particles, in biofilms); selfish uptake (hydrolysis without production of low molecular weight products in the environment) would be a better strategy when high molecular weight (HMW) organic matter is scarce, and particularly when the available HMW organic matter is very complex.\n\nSeawater was sampled from four depths at our initial station, and the deep chlorophyll maximum and bottom water from two subsequent stations differing in typical extent of primary productivity.\n\nWe incubated mesocosms of seawater from the deep chlorophyll maximum and from bottom water from two stations differing in typical extent of primary productivity. Organic matter availability was amended by adding high molecular weight organic matter (dissolved and particulate) from diatoms, or by adding the polysaccharide fucoidan, or by adding the polysaccharide arabinogalactan. Amendments were performed in triplicate mesocosms, while one mesocosm was left unamended for a total of ten mesocosms from each depth and station tested.\n\nThese data help test this model because they provide information about the activities of various external (extracellular) exo-acting and endo-acting hydrolases, all of which are used to hydrolyze high molecular weight organic matter.  Activities of these enzymes differed by station as well as by depth.\n\ncdm_data_type = Other\nVARIABLES:\ndeployment (unitless)\n... (25 more variables)\n BCO-DMO bcodmo_dataset_985777_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_960257_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_960257_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_960257_v1/ public [End members metadata] - Metadata (location, depth, water temperature, salinity, etc.) describing end members compared to blue particles found in Oceanic Flux Program (OFP) traps (OCE-PRF:  Towards Quantifying Calcium Carbonate Sediment Dissolution During Marine Diagenesis) This dataset includes metadata for end members (fish, bryzoan, serpulid worm, red algae, and coccolithophore) that were compared to blue particles found in OFP traps. Data include species, location, depth, water temperature, salinity, and date of collection.\n\ncdm_data_type = Other\nVARIABLES:\nSample_type (unitless)\nFeeding_state_diet (unitless)\nSpecies (unitless)\nLocation (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\nWater_temperature (degrees  Celsius)\nSalinity (parts per thousand (ppt))\nCollection_date (unitless)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_960257_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_960257_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_960257_v1/index.htmlTable https://osprey.bco-dmo.org/dataset/960257 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_960257_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_960257_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_960257_v1
log in [ENEN683_Monosaccharides_DOM_POM_LV] - Monosaccharide Composition of HMWDOM concentrate and POM-derived Carbohydrates from bulk seawater and mesocosm experiments taken aboard the R/V Endeavor in the Western North Atlantic during the research cruise EN683 in May and June, 2022 (Substrate structural complexity and abundance control distinct mechanisms of microbially-driven carbon cycling in the ocean) This research tested the hypothesis that the mechanism of polysaccharide processing is related to the cost to a cell of producing the enzymes required for its hydrolysis, and the probability that a cell will receive sufficient return on investment for producing the enzymes. Our conceptual model suggests that external (extracellular) hydrolysis is favored when organic matter is abundant, or when enzyme production costs can be shared (e.g., on particles, in biofilms); selfish uptake (hydrolysis without production of low molecular weight products in the environment) would be a better strategy when high molecular weight (HMW) organic matter is scarce, and particularly when the HMW organic matter is very complex. We know that a substantial fraction of HMW dissolved organic matter consists of carbohydrates, including neutral sugars, and that its concentration is lower in the deep ocean than in the upper mesopelagic/surface ocean (Benner & Amon 2015).\n \nA key focus of this project's field work is investigating the potential of marine heterotrophic microbial communities from different water masses and under differing conditions of organic matter availability to hydrolyze six well characterized high-molecular-weight (HMW) polysaccharides (arabinogalactan, chondroitin sulfate, fucoidan, laminarin, pullulan, and xylan). To better contextualize this hydrolysis, bulk water characterization of the DCM and bottom waters used in our mesocosm incubation experiments was performed.  \n \nThis dataset includes the measurement of monosaccharide composition of POM-derived carbohydrates from bulk seawater and mesocosm experiments taken aboard the R/V Endeavor in the Western North Atlantic during the research cruise EN683 in May and June, 2022.\n\ncdm_data_type = Other\nVARIABLES:\ndeployment (unitless)\nstation (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\ndate (unitless)\ntime_unitless (Time, unitless)\ntime (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\n... (9 more variables)\n BCO-DMO bcodmo_dataset_987279_v1
log in [Environmental data FGB March 2023] - Water quality metrics collected from reef water in the Flower Garden Banks National Marine Sanctuary in Mar 2023 (Collaborative Research: RAPID: A multi-scale approach to predicting coral disease spread: leveraging an outbreak on coral-dense isolated reefs) These data include water quality metrics collected at a depth of around 20 meters in the Flower Garden Banks National Marine Sanctuary in March 2023. Measurements were taken in the West Flower Garden Banks near Buoy #5. Microbial cell abundances, total organic carbon concentrations, and total nitrogen concentrations were measured from water collected 2 m above the reefs. Understanding the physical and chemical properties of reef water is important for understanding the microbial conditions of coral reefs, which is important for understanding disease dynamics.\n\ncdm_data_type = Other\nVARIABLES:\nMission (unitless)\nSite (unitless)\ntime (Sampling_datetime_utc, seconds since 1970-01-01T00:00:00Z)\ndepth_f (Sampling_depth_ft, feet)\ndepth (Sampling_depth_m, m)\nLab_ID_for_cell_abundances (unitless)\npro (cells/ml)\nsyn (cells/ml)\npeuk (cells/ml)\nhbact (cells/ml)\nLab_ID_for_TON_TOC (unitless)\nnpoc (uM)\ntn (uM)\n BCO-DMO bcodmo_dataset_986649_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_997078_v1 https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_997078_v1/ public [Enzyme activity of Alteromonas macleodii exudates] - Enzyme activity of Alteromonas macleodii exudates (Collaborative Research: Extracellular vesicles as vehicles for microbial interactions in marine Black Queen communities) The cyanobacterium Prochlorococcus has a conspicuously reduced genome causing it to require help from co-existing organisms for survival under a variety of stressful conditions. In this work we used conditioned media experiments to demonstrate that exudates of the heterotrophic bacterium Alteromonas macleodii EZ55 facilitated the survival of Prochlorococcus MIT9312 batch co-cultures as they entered stationary phase. Based on mass spectrometry analysis, Alteromonas exudates contained a wide variety of proteins; here we assessed whether or not these proteins exhibited common enzymatic activities including glycosidase, protease, phosphatase, and hydroperoxidase reactions. We also tested the impact of disrupting membranes by sonication on membrane activity as a test of the possibility that some proteins were packaged within extracellular membrane vesicles.\n\ncdm_data_type = Other\nVARIABLES:\nStrain (unitless)\nEnzyme (unitless)\nTreatment (unitless)\nValue (nm)\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_997078_v1/index.htmlTable https://osprey.bco-dmo.org/dataset/997078 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_997078_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_997078_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_997078_v1
log in [Epifluorescence Microscopy Cell Size and Biomass] - Epifluorescence Microscopy Water Column Samples from R/V Tangaroa TAN1810 in the Chatham Rise (Subtropical and Sub-Antarctic waters off of New Zealand) from October to November 2018 (Salp Food Web Ecology project) (Collaborative Research: Quantifying trophic roles and food web ecology of salp blooms of the Chatham Rise) The structure of the phytoplankton community is crucially important to pelagic food webs,  biogeochemical processes. and carbon (C) cycle. This study quantifies C-based size spectra, phytoplankton community composition across subtropical and subantarctic waters east of New Zealand. Depth-resolved water column samples were analyzed using epifluorescence microscopy at 15 different sampling locations. Samples were analyzed for biomass and abundance of microplankton (>20 µm), nanoplankton (2-20 µm) and picoplankton (<2 µm) and diatoms. Our results suggest that the subtropical waters are dominated by nanoplankton (35.2 ± 4.6 µg C/L). Offshore subantarctic waters were dominated by picoplankton (24.7 ± 2.1 µg C/L) while microplankton dominated in coastal subantarctic waters (21.7 ± 2.2 µg C/L). Overall, our study helps provide important insights into the structure of phytoplankton communities, their biomass distribution and their contribution to carbon sequestration in the subtropical and subantarctic waters east of New Zealand, highlighting the dominance of nanoplankton in subtropical waters and picoplankton in offshore subantarctic waters.\n\ncdm_data_type = Other\nVARIABLES:\nID (unitless)\nCycle (unitless)\nCast (unitless)\nImage_Number (unitless)\nParticle_Number (unitless)\nFilter_Pore_Size (microns (µm))\nVolume_Filtered (mL)\ndepth (m)\nlongitude (Long, degrees_east)\nlatitude (degrees_north)\nDate (unitless)\nArea (microns squared (µm^2))\nWidth (microns (µm))\nFeret_Length (microns (µm))\nConversion_Ratio (unitless)\n... (6 more variables)\n BCO-DMO bcodmo_dataset_905060_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_905170_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_905170_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_905170_v1/ public [Epifluorescence Microscopy Reduced] - Reduced Epifluorescence Microscopy Water Column Samples from R/V Tangaroa TAN1810 in the Chatham Rise (Subtropical and Sub-Antarctic waters off of New Zealand) from October to November 2018 (Salp Food Web Ecology project) (Collaborative Research: Quantifying trophic roles and food web ecology of salp blooms of the Chatham Rise) The structure of the phytoplankton community is crucially important to pelagic food webs,  biogeochemical processes. and carbon (C) cycle. This study quantifies C-based size spectra, phytoplankton community composition across subtropical and subantarctic waters east of New Zealand. Depth-resolved water column samples were analyzed using epifluorescence microscopy at 15 different sampling locations. Samples were analyzed for biomass and abundance of microplankton (>20 µm), nanoplankton (2-20 µm) and picoplankton (<2 µm) and diatoms. Our results suggest that the subtropical waters are dominated by nanoplankton (35.2 ± 4.6 µg C/L). Offshore subantarctic waters were dominated by picoplankton (24.7 ± 2.1 µg C/L) while microplankton dominated in coastal subantarctic waters (21.7 ± 2.2 µg C/L). Overall, our study helps provide important insights into the structure of phytoplankton communities, their biomass distribution and their contribution to carbon sequestration in the subtropical and subantarctic waters east of New Zealand, highlighting the dominance of nanoplankton in subtropical waters and picoplankton in offshore subantarctic waters.\n\ncdm_data_type = Other\nVARIABLES:\nCycle (unitless)\nCast (unitless)\ndepth (m)\nlongitude (degrees_east)\nlatitude (degrees_north)\nDate (unitless)\nAbundance_025_to_05 (cells per milliliter (cells/mL))\nAbundance_05_to_1 (cells per milliliter (cells/mL))\nAbundance_1_to_2 (cells per milliliter (cells/mL))\nAbundance_2_to_4 (cells per milliliter (cells/mL))\nAbundance_4_to_8 (cells per milliliter (cells/mL))\nAbundance_8_to_16 (cells per milliliter (cells/mL))\nAbundance_16_to_32 (cells per milliliter (cells/mL))\nAbundance_32_to_64 (cells per milliliter (cells/mL))\nAbundance_64_to_128 (cells per milliliter (cells/mL))\n... (17 more variables)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_905170_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_905170_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_905170_v1/index.htmlTable https://osprey.bco-dmo.org/dataset/905170 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_905170_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_905170_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_905170_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_911212_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_911212_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_911212_v1/ public [Epiphytic bacteria methane production data] - MPn-derived methane production by epiphytic bacteria on pelagic Sargassum seaweed from 2017-2019 (Cyanobacteria Hydrocarbons project) (Collaborative Research: Do Cyanobacteria Drive Marine Hydrocarbon Biogeochemistry?) The essential nutrient phosphorus is biologically scarce in the Sargasso Sea, yet the pelagic macroalgae Sargassum, for which this area of the North Atlantic Ocean is named, thrives. We tested the hypothesis that Sargassum holobionts utilize methylphosphonate (MPn) as an alternative source of phosphorus, finding lysis liberated phosphonate-derived methane. The observed activity occurred at concentrations as low as 35 nM MPn and was inhibited by antibiotics, implicating microbial members of the holobiont capable of MPn lysis at realistic environmental concentrations. A survey of macroalgal species inhabiting the Sargasso Sea found a ubiquitous capacity for MPn lysis; such capacity was absent in species inhabiting phosphorus-replete waters of the California Current, pointing to phosphorous limitation as a selective pressure. These results suggest algal holobionts may conditionally acquire phosphorus from phosphonates while simultaneously serving as a source of atmospheric methane.\n\ncdm_data_type = Other\nVARIABLES:\nOrder (unitless)\nDate (unitless)\nTrial (unitless)\nCondition (unitless)\nNumber_of_Replicates (count)\nInitial_MPn (nM)\nAdditional_Amendments (unitless)\nBottle (unitless)\nT1_Timepoint (days)\nT1_Timepoint_mean_CH4_production (nmol g^-1)\nT1_Timepoint_CH4_no_sig_fig_rounding (nmol g^-1)\nT2_Timepoint (days)\nT2_Timepoint_mean_CH4_production (nmol g^-1)\nT2_Timepoint_CH4_no_sig_fig_rounding (nmol g^-1)\nT3_Timepoint (days)\nT3_Timepoint_CH4_production (nmol g^-1)\nT3_Timepoint_CH4_no_sig_fig_rounding (nmol g^-1)\n... (40 more variables)\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_911212_v1/index.htmlTable https://www.bco-dmo.org/dataset/911212 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_911212_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_911212_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_911212_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_948718_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_948718_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_948718_v1/ public [EPR 2019 Nutrients] - Dissolved nitrate plus nitrite, nitrite and phosphate from water column of the East Pacific Rise in April 2019 aboard the R/V Atlantis cruise AT42-09 (Collaborative Research: From hot to cold in the dark - shifts in seafloor massive sulfide microbial communities as physical and geochemical conditions change after venting ceases) These are dissolved inorganic nutrient concentrations from the eastern tropical north pacific ocean from the water column overlying the east pacific rise at 9°50'N 104°18.14'W  including samples in hypoxic water. The measured nutrients are nitrate plus nitrite, nitrite, and phosphate. Samples were collected through two casts, one each on April 9 2019 and April 13 2019 by Dr. Benjamin Tully aboard the RV Atlantis cruise AT 42-09. Samples were run by Chesapeake Bay Laboratory's Analytical services facility following EPA method 353.2 with analysis overseen by Jerry Frank. While the cruise primarily focused on the hydrothermal vent field below, our team focused on measurements of suspended particles in the water column and their microbial communities. These nutrient data supported this analysis. These data support a paper in review titled \"Quantitative microbial taxonomy across particle size, depth, and oxygen concentration\" lead by Paulina Huanca.\n\ncdm_data_type = Other\nVARIABLES:\nSample_ID (unitless)\ndepth (m)\nlatitude (degrees_north)\nlongitude (degrees_east)\nSample_Date (unitless)\nSample_Time (unitless)\ntime (Sample_iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\nReceived_Date (unitless)\nNO2 (milligrams per liter (mg N/L))\nNO23 (milligrams per liter (mg N/L))\nPO4 (milligrams per liter (mg P/L))\nNO2_Flag (unitless)\nNO23_Flag (unitless)\nPO4_Flag (unitless)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_948718_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_948718_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_948718_v1/index.htmlTable https://www.bco-dmo.org/dataset/948718 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_948718_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_948718_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_948718_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_948709_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_948709_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_948709_v1/ public [EPR 2019 Size Fractionated Organic Matter] - Size fractionated organic carbon and nitrogen concentration and stable isotopes from water column of the East Pacific Rise in April 2019 on the R/V Atlantis cruise AT42-09 (Collaborative Research: From hot to cold in the dark - shifts in seafloor massive sulfide microbial communities as physical and geochemical conditions change after venting ceases) On R/V Atlantic cruise AT42-09 in April 2019, size fractionated suspended particulate organic matter samples from the water column at the East Pacific Rise (9°50'N 104°18.14'W) were obtained by opening the bottom of the Niskin bottle to ensured that particles that had sunk below the spigot were included. Between 100 and 120 L of water was gravity filtered, in sequence, through nylon mesh (142 mm diameter) of decreasing pore size (500, 180, 53, 20 µm and 5 µm mesh). The resuspended particulate matter from each sample and size class was collected by vacuum filtration through a 1.2 µm nominal pore size, pre-combusted GF/C glass fiber filter. Samples were wafted with HCl overnight to remove carbonate and sent to the UC Davis Stable Isotope Facility for C and N analysis concentration and stable isotope analysis. \n\nThe purpose of these samples was were used to create particle size to carbon and nitrogen relationships for models, while gaining insights into the origins and fate of particulate organic matter in the ocean. Additionally, these organic matter fractions are directly linked to 16S rRNA amplicon data.  16S rRNA sequence amplicons exactly corresponding to this organic matter data are deposited in SRA (Short Read Archive) under BioProject PRJNA1191024. \n\nJacob Cram conceived of the idea. Benjamin Tully of Center for Dark Energy Biosphere Investigations, University of Southern California oversaw sample collection. Paulina Huanca Valenzuela and Clara Fuchsman prepped the samples in the laboratory and analyzed the data.\n\ncdm_data_type = Other\nVARIABLES:\nStation (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\nDate (unitless)\ndepth (m)\nSize_Fraction (micron (um))\nd13C_VPDB (permil (0/00))\nd15N_Air (permil (0/00))\nd15N_BDL_flag (unitless)\n... (5 more variables)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_948709_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_948709_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_948709_v1/index.htmlTable https://www.bco-dmo.org/dataset/948709 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_948709_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_948709_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_948709_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_988600_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_988600_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_988600_v1/ public [EPR 9-10 North Electron Microprobe Microprobe Elemental Maps] -  (Collaborative Research: From hot to cold in the dark - shifts in seafloor massive sulfide microbial communities as physical and geochemical conditions change after venting ceases) Electron microprobe elemental map data were collected for seafloor sulfide deposits. Seafloor sulfide mineral samples were collected from hydrothermally active chimneys and inactive off-axis massive sulfide deposits at East Pacific Rise (EPR) 9.50°N during 2019–2021 on cruises AT42-09, AT42-21, and RR2102. Samples were collected using the HOV Alvin or ROV Jason II. Samples were placed in a positive-pressure glove bag flushed with N₂(g), sparged with N₂, heat-sealed into Mylar bags containing AnaeroPaks, and stored at −20 °C.\n\nEpoxy-embedded petrographic thin sections were prepared from these samples. Subsamples were dried for 24 hours under N₂(g), vacuum-embedded in epoxy resin (Struers EpoFix Resin, 1 L kit; Part #40200030) following the manufacturer's guidelines, and cured under N₂(g) for 24 hours. Each epoxy-embedded sample was pre-cut using a wafering saw and then sent to Spectrum Petrographics, Inc. (Washington, USA) for preparation as 30 µm thick, double-polished thin sections mounted on quartz slides, using methods designed to limit sample exposure to water and ambient air. When not in use, thin sections were stored under N₂(g) to limit oxidation. Thin sections were analyzed for electron microprobe elemental mapping using a JEOL JXA-8530FPlus Electron Probe Microanalyzer at the Electron Microprobe Laboratory, Earth and Environmental Sciences, Twin Cities, University of Minnesota.\n\ncdm_data_type = Other\nVARIABLES:\nFile_name (unitless)\nMap_name (unitless)\nSample_name (unitless)\nElement (unitless)\nlatitude (Latitude_dd, degrees_north)\nlongitude (Longitude_dd, degrees_east)\ndepth (Depth_mbs, m)\nHeading_deg (degrees)\ntime (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_988600_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_988600_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_988600_v1/index.htmlTable https://osprey.bco-dmo.org/dataset/988600 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_988600_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_988600_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_988600_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_988651_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_988651_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_988651_v1/ public [EPR 9-10 North Electron Microprobe Wavelength Spectroscopy] - Electron microprobe wavelength dispersive spectroscopy from seafloor sulfide deposits East Pacific Rise 9-10 North from R/V Atlantis, R/V Roger Revelle AT42-09, AT42-21, RR2102 from October 2020 (Hot2cold Vents project) (Collaborative Research: From hot to cold in the dark - shifts in seafloor massive sulfide microbial communities as physical and geochemical conditions change after venting ceases) Electron microprobe wavelength dispersive spectroscopy (WDS) data were collected for seafloor sulfide deposits. Seafloor sulfide mineral samples were collected from hydrothermally active chimneys and inactive off-axis massive sulfide deposits at East Pacific Rise (EPR) 9.50°N during 2019–2021 on cruises AT42-09, AT42-21, and RR2102. Samples were collected using the HOV Alvin or ROV Jason II. Samples were placed in a positive-pressure glove bag flushed with N₂(g), sparged with N₂, heat-sealed into Mylar bags containing AnaeroPaks, and stored at −20 °C.\n\nEpoxy-embedded petrographic thin sections were prepared from these samples. Subsamples were dried for 24 hours under N₂(g), vacuum-embedded in epoxy resin (Struers EpoFix Resin, 1 L kit; Part #40200030) following the manufacturer's guidelines, and cured under N₂(g) for 24 hours. Each epoxy-embedded sample was pre-cut using a wafering saw and then sent to Spectrum Petrographics, Inc. (Washington, USA) for preparation as 30 µm thick, double-polished thin sections mounted on quartz slides, using methods designed to limit sample exposure to water and ambient air. When not in use, thin sections were stored under N₂(g) to limit oxidation. Thin sections were analyzed by electron microprobe WDS using a JEOL JXA-8530FPlus Electron Probe Microanalyzer at the Electron Microprobe Laboratory, Earth and Environmental Sciences, Twin Cities, University of Minnesota.\n\ncdm_data_type = Other\nVARIABLES:\nname (unitless)\nISO_DateTime_UTC (unitless)\ncomment (unitless)\nstage_x (micrometer (um))\nstage_y (micrometer (um))\nstage_z (micrometer (um))\nAcc_Voltage_kV (kilovolt (kV))\nProbe_Dia_um (micrometer (um))\nScan (unitless)\nMag (unknown)\nCurr_A (amperage (A))\nElement (unitless)\n... (14 more variables)\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_988651_v1/index.htmlTable https://osprey.bco-dmo.org/dataset/988651 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_988651_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_988651_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_988651_v1
log in [EPR pump time series] - Larvae and suspended benthic fauna collected with a plankton pump near deep-sea hydrothermal vents at the East Pacific Rise from 1998 to 2025 (Effects of Disturbance and Larval Supply on Communities at Hydrothermal Vents) This dataset provides the counts for larvae and some later life stage benthic fauna, identified to varying levels of taxonomic granularity, collected with a large-volume plankton pump near deep-sea hydrothermal vents on the East Pacific Rise on 13 cruises from 1998 to 2025. Sampling for this 27-year time series of larval abundance was conducted using a plankton pump (McLane WTS-LV50) filtering up to ~40 cubic meters over 63-micron mesh. Specimens were preserved in ethanol and identified morphologically under a dissecting microscope. Samples were sorted completely, thus concentrations per taxon may be derived from the counts and volume filtered. The primary data file is a single compiled table with the leftmost columns as a Darwin Core Occurrence extension table and rightmost columns from a Darwin Core Event core table; these are provided separately as two additional files formatted for the Ocean Biodiversity Information System.\n\ncdm_data_type = Other\nVARIABLES:\noccurrenceID (unitless)\nverbatimIdentification (unitless)\nindividualCount (integer count)\nscientificName (unitless)\nscientificNameID (unitless)\ntaxonRank (unitless)\nclass (unitless)\nphylum (unitless)\nkingdom (unitless)\nidentifiedBy (unitless)\noccurrenceStatus (unitless)\nbasisOfRecord (unitless)\neventID (unitless)\nsampleSizeValue (liter)\nsampleSizeUnit (unitless)\neventDate (seconds since 1970-01-01T00:00:00Z)\nverbatimEventDate (unitless)\nlocality (unitless)\n... (8 more variables)\n BCO-DMO bcodmo_dataset_986309_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_948746_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_948746_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_948746_v1/ public [ETNP 2012 McClane Pump POM] - Suspended Organic Particle concentration and stable C and N isotopes (collected with McClane Pumps and GF/F filters) from the Eastern Tropical North Pacific on the R/V Thompson cruise TN278 in April 2012 (The role of cryptic nutrient cycling within sinking particles on trace element transport in oxygen minimum zones) Suspended organic carbon and nitrogen concentrations and stable isotopes were obtained on the R/V Thompson cruise TN278 at St P2 (16.5 N 107.1 W; known as BB2 on this cruise) and at St P1 (20.1 N 106.0 W; known as BB1 on this cruise) in the Eastern Tropical North Pacific Oxygen Deficient Zone in April 2012. The Oxygen Deficient Zone extended from 105 m to 820 m at St P2 and from 95 to 800 m at St P1. Water was filtered onto 142 mm pre-combusted GF/F filters in situ using McClane pumps (on average ~300-500 L) in a depth profile. Two 21 mm diameter punches were obtained from each 142 mm filter and used for organic matter analysis. Sample punches were wafted with HCl overnight to remove carbonate and sent to the UC Davis Stable Isotope Facility (Davis, CA) for C and N analysis. \n\nThe purpose of this sampling was to quantify suspended organic matter in an offshore Oxygen Deficient Zone. \n\nJacquelyn Neibauer and Rick Keil of the University of Washington deployed the McClane pumps on the cruise. Jacquelyn Neibauer was in charge of prepping the samples. Megan Duffy and Clara Fuchsman of the University of Washington analyzed the data.\n\ncdm_data_type = Other\nVARIABLES:\nSample (unitless)\nSt (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\nDate (unitless)\ndepth (m)\nNitrogen (micromolar (uM))\nCarbon (micromolar (uM))\nd15N_Air (permil (0/00))\nd13C_VPDB (permil (0/00))\nC_to_N (unitless)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_948746_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_948746_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_948746_v1/index.htmlTable https://www.bco-dmo.org/dataset/948746 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_948746_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_948746_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_948746_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_948637_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_948637_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_948637_v1/ public [ETNP 2018-2019 suspended POM concentrations and isotopes] - Suspended Organic Particle concentration and stable C and N isotopes from the Eastern Tropical North Pacific in April 2018 (R/V Roger Revelle RR1805) and October 2019 (R/V Kilo Moana KM1920) (Dimensions: Diversity, assembly and function of microbial communities on suspended and sinking particles in a marine Oxygen Deficient Zone) Suspended Organic Particle Carbon and Nitrogen concentrations and stable C and N isotopes were obtained from the Eastern Tropical North Pacific on the R/V Revelle cruise RR1805 in April 2018 and the R/V Kilo Moana cruise KM1920 in October 2019. R/V Revelle cruise RR1805 sampled two stations in 2018: St P2 (16.9ºN 107ºW) and St P1 (20.3 °N 106.1°W). These two stations included an anoxic Oxygen Deficient Zone from 105-820 m for St P2 and 68-800 m for St P1. The R/V Kilo Moana cruise KM1920 sampled two stations in 2019: St P2 (16.9°N 107°W) and St P3 (21.8°N  109.9°W). These two stations included an anoxic Oxygen Deficient Zone from 110-820 m for St P2 and 160-650 m for St P3. St P3 is at the Northern Edge of the Oxygen Deficient Zone. St P2 is offshore in the core of the Oxygen Deficient Zone, and St P1 is on the continental slope.  \n\nDuring both cruises, water for bulk suspended particulate organic C and N analyses was obtained from Niskin bottles on a CTD rosette and vacuum-filtered it onto pre-combusted GF/F filters. Samples were wafted with HCl to remove carbonate and sent to the UC Davis Stable Isotope Facility (Davis, CA) for C and N analysis utilizing an elemental analyzer attached to an isotope ratio mass spectrometer. \n\nThe samples were obtained to determine whether organic matter concentrations increased and isotopic composition changed at the secondary chlorophyll maximum in the Oxygen Deficient Zone and at the zooplankton/forage fish vertical migration depth in the Oxygen Deficient Zone.  St P2 and St P1  had a secondary chlorophyll maximum and St P3 did not. \n\nSamples were collected and data were analyzed by Clara Fuchsman of Horn Point Laboratory, a part of the University of Maryland Center for Environmental Science.\n\ncdm_data_type = Other\nVARIABLES:\nCruise (unitless)\nstation (unitless)\nCast (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\n... (7 more variables)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_948637_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_948637_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_948637_v1/index.htmlTable https://www.bco-dmo.org/dataset/948637 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_948637_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_948637_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_948637_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_948682_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_948682_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_948682_v1/ public [ETNP 2019 size fractionated POM concentrations and isotopes] - Size fractionated organic C and N concentrations and stable isotopes from the Eastern Tropical North Pacific on the R/V Kilo Moana cruise KM1920 in October 2019 (Dimensions: Diversity, assembly and function of microbial communities on suspended and sinking particles in a marine Oxygen Deficient Zone) Size fractionated Organic Particle Carbon and Nitrogen concentrations and stable C and N isotopes from the Eastern Tropical North Pacific  were obtained from the R/V Kilo Moana on cruise KM1920 in the Eastern Tropical North Pacific at two stations in October 2019: St P2 (16.9°N 107°W) and St P3 (21.8°N 109.9°W). These two stations included an anoxic Oxygen Deficient Zone from 110-820 m for St P2 and 160-650 m for St P3. \n\nFor size fractionated particulate organic C and N analyses, water was obtained from Niskin bottles on a CTD rosette, by opening the bottom of the Niskin bottle.  Water was gravity filtered through stacked mesh with the following pore sizes: 500 um, 180 um, 53 um, 20 um, and 5 um. Each fraction was resuspended off the mesh and vacuum filtered it onto pre-combusted GF/C filters (nominal pore size 1.2 um). Samples were wafted with HCl to remove carbonate and sent to the UC Davis Stable Isotope Facility (Davis, CA) for C and N analysis utilizing an elemental analyzer attached to an isotope ratio mass spectrometer. \n\nThe samples were obtained to determine particle size to carbon and nitrogen relationships for models, while gaining insights into the origins of particulate organic matter in the Oxygen Deficient Zone. \n\nSamples were collected by Jacob Cram of Horn Point Laboratory (University of Maryland Center for Environmental Science) and his lab members.  \n\nFilters were prepped in the lab, and data were analyzed by Clara Fuchsman of Horn Point Laboratory, a part of the University of Maryland Center for Environmental Science.\n\ncdm_data_type = Other\nVARIABLES:\nStation (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\nDate (unitless)\ndepth (m)\n... (7 more variables)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_948682_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_948682_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_948682_v1/index.htmlTable https://www.bco-dmo.org/dataset/948682 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_948682_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_948682_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_948682_v1
log in [ETNP Sediment Trap Fluxes and 13C] - Sinking Organic Particle fluxes and stable C isotopes (collected with sediment traps) from the Eastern Tropical North Pacific on cruises SKQ201617S, RR1805, and KM1920 (2017–2019) (Dimensions: Diversity, assembly and function of microbial communities on suspended and sinking particles in a marine Oxygen Deficient Zone) Fluxes of sinking organic carbon and nitrogen and the isotopic composition of organic carbon were obtained from free floating, unpoisoned surface tethered sediment traps during three cruises in the Eastern Tropical North Pacific Oxygen Deficient Zone: 1) at St P1 (20.1ºN 106.2ºW)  in January 2017 from the R/V Sikuliaq on cruise SKQ201617S, 2) at St P1 and St P2 (16.9ºN 107ºW) in April 2018 from the R/V Revelle on cruise RR1805, and 3) at St P2 and St P3 (21.8°N  109.9°W) in October 2019 from the R/V Kilo Moana on cruise KM1920. Trap depths ranged between 50 m and 965 m, and trap deployments ranged between 21 and 91 hours with deeper traps deployed for longer.  \n\nFor the 2017 and 2018 cruises, two types of traps were deployed: 1) in shallow waters (<150 m), traps with a solid plastic cone top (0.46 m2 opening area) were used, 2) in deep waters (>150 m), net traps (1.24 m2 opening area) were used. For 2019, cone-net hybrid sediment traps were used (0.46 m2 opening area). They consisted of a cone trap with impervious fabric above the cone used to increase the aspect ratio. \n\nFor all types of trap, the cod end had bottoms that were open during deployment and during an 8 hour equilibration period at the target depth performed to remove oxygen contamination. Cod ends were closed with a gate valve, using a pre-programmed electronic dissolving link (burn wire) system controlled by an onboard Arduino microcontroller to start collection at the correct depth, and a second gate valve that closed the top of the cod end before retrieval. Some trap deployments functioned as simple sediment traps, and some deployments were combined trap and in situ incubators. The combined trap incubators consisted of upper and lower chambers. The material used to calculate fluxes reported here was collected from the upper chamber and was not incubated. After every deployment, sediment trap material was filtered onto pre-combusted GF-75 filters (0.3 µm nominal pore size). To conform to community standards, zooplankton carcasses were not included in the measurements of carbon and nitrogen flux. Filter samples (particles only) were wafted with HCl overnight to remove carbonate.  St P1 from 2017 was sent to the University of Washington Isolab facility in the Department of Earth and Space Sciences (Seattle, WA) for C and N analysis while samples from 2018 and 2019 were sent to the UC Davis Stable Isotope Facility (Davis, CA) for C and N analysis. \n\nThese data were collected to improve our understanding of sinking fluxes of organic matter in the offshore Oxygen Deficient Zone, and to see whether Oxygen Deficient Zones reduce organic matter attenuation\n\nAllan Devol and Rick Keil and Wendi Ruef from the University of Washington designed these trap systems. Megan Duffy, Jacquelyn Neibauer, and Allan Devol and Rick Keil from the University of Washington and Clara Fuchsman from Horn Point Laboratory, part of the University of Maryland Center for Environmental Science, deployed and sampled these sediment trap systems. Megan Duffy and Clara Fuchsman analyzed the data.\n\ncdm_data_type = Other\nVARIABLES:\nStation (unitless)\n... (13 more variables)\n BCO-DMO bcodmo_dataset_948735_v2
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_969971_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_969971_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_969971_v1/ public [ETNP17 Nutrients and Rates] - Nutrient concentrations and biogeochemical rate data collected in the eastern tropical North Pacific Ocean in 2017 on R/V Oceanus cruise 1704A (CAREER: Oxygen sensitivity of aerobic respiration and nitrification in oxygen minimum zones and biogeochemical feedbacks to deoxygenation) This dataset contains nutrient concentrations and biogeochemical rate data collected in the eastern tropical North Pacific Ocean in 2017 on R/V Oceanus cruise 1704A.\n\ncdm_data_type = Other\nVARIABLES:\nlatitude (degrees_north)\nlongitude (degrees_east)\nDate (unitless)\nTime_Local (unitless)\nStation (unitless)\ndepth (m)\nOCR (micromoles per liter per day)\nNitrate (micromolar)\nNitrite (micromolar)\nAmmonium (micromolar)\nAmmonia_oxidation (nanomoles per liter per day)\nNitrite_oxidation (nanomoles per liter per day)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_969971_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_969971_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_969971_v1/index.htmlTable https://osprey.bco-dmo.org/dataset/969971 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_969971_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_969971_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_969971_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_821268_v4 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_821268_v4.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_821268_v4/ public [ETSP N2O] - Nitrous oxide (N2O) concentrations and associated physicochemical parameters from R/V Atlantis cruise AT15-61 in Jan-Feb 2010 and R/V Melville cruise MV1104 in Mar-Apr 2011 in the Eastern Tropical South Pacific (ETSP) (Expression of Microbial Nitrification in the Stable Isotopic Systematics of Oceanic Nitrite and Nitrate) This dataset includes nitrous oxide (N2O) concentrations and associated physicochemical parameters from the CTD sensor package collected on R/V Atlantis cruise AT15-61 in January-February 2010 and R/V Melville cruise MV1104 in March-April 2011 in the Eastern Tropical South Pacific (ETSP). These data were published as Figure 5 in Santoro et al., 2020 (doi:10.1002/essoar.10503499.1).\n\ncdm_data_type = Other\nVARIABLES:\nISO_Date_Local (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\nStation (unitless)\nCast (unitless)\nDepth (meters (m))\nSalinity (practical salinity units (psu))\nTemperature (degrees Celsius)\nDensity (kilograms per cubic meter (kg/m^3))\nOxygen (micromoles per kilogram (umol/kg))\nPressure (decibars)\nPotential_Temp (degrees Celsius)\nAOU (micromoles per kilogram (umol/kg))\nsigma_theta (kilograms per cubic meter (kg/m^3))\nsigma_T (kilograms per cubic meter (kg/m^3))\nd15n_alpha_1 (permille)\nd15n_beta_1 (permille)\nSP_1 (permille)\nd15n_bulk_1 (permille)\nd17O_1 (permille)\nd18O_1 (permille)\nN2O_nM_1 (nanomoles per liter (nM))\nflag_1 (unitless)\nd15n_alpha_2 (permille)\n... (10 more variables)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_821268_v4_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_821268_v4_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_821268_v4/index.htmlTable https://www.bco-dmo.org/dataset/821268 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_821268_v4.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_821268_v4&showErrors=false&email= BCO-DMO bcodmo_dataset_821268_v4
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_903891_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_903891_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_903891_v1/ public [ETSP NO3 and NO2 isotopes] - Nitrate (NO3-) and Nitrite (NO2-) d15N and d18O from R/V Atlantis cruise AT15-61 in Jan-Feb 2010 and R/V Melville cruise MV1104 in Mar-Apr 2011 in the Eastern Tropical South Pacific (ETSP) (Expression of Microbial Nitrification in the Stable Isotopic Systematics of Oceanic Nitrite and Nitrate) This dataset includes nitrate (NO3-) and nitrite (NO2-) d15N and d18O from R/V Atlantis cruise AT15-61 in January-February 2010 and R/V Melville cruise MV1104 in March-April 2011 in the Eastern Tropical South Pacific (ETSP). Accompanying physiochemical data can be found in a related BCO-DMO dataset, https://www.bco-dmo.org/dataset/821268.\n\ncdm_data_type = Other\nVARIABLES:\nYear (unitless)\nStation (unitless)\nDepth (meters (m))\ndel15N_NO3 (permille)\ndel15N_NO3_sd (permille)\ndel18O_NO3 (permille)\ndel18O_NO3_sd (permille)\ndel15N_NO2 (permille)\ndel15N_NO2_sd (permille)\ndel18O_NO2 (permille)\ndel18O_NO2_sd (permille)\nISO_Date_Local (unitless)\nLatitude (degrees_north)\nLongitude (degrees_east)\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_903891_v1/index.htmlTable https://www.bco-dmo.org/dataset/903891 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_903891_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_903891_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_903891_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_949101_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_949101_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_949101_v1/ public [Eukaryotic viruses encode the ribosomal protein eL40] - NCBI accession metadata for Eukaryotic viruses encoding ribosomal protein eL40 from samples collected on KM1419 and KM1108 from Mar 2011 to Sep 2014 (Giant viruses in the open ocean: Is large size adaptive where cells are scarce?) This dataset contains sample collection metadata, as well as GenBank accessions and relevant Bioproject numbers for FloV-SA2 samples collected on KM1419 and KM1108 at Station ALOHA from Mar 2011 to Sep 2014.\n\nThis study analyzes the genome of FloV-SA2 (phylum Nucleocytoviricota), a cultured marine virus isolated  from open ocean seawater in the Pacific Ocean using a marine microalga strain (UHM3020) in the genus Florenciella (class Dictyochophyceae) as a host. The analysis highlights unique features of the genome, including the encoding of a ribosomal protein (eL40) and a group II viral rhodopsin. The research explores the affiliations and possible origins of these genes, supported by metagenomic and metatranscriptomic data indicating the presence and expression of eL40 in other giant viruses. This study expands the understanding of the metabolic versatility of eukaryoviruses and proposes new mechanisms by which these viruses can manipulate host resources and energy.\n\ncdm_data_type = Other\nVARIABLES:\nTaxa_name (units)\nSource_of_sample (units)\nGenbank_accession (units)\nBioproject_number (units)\nlatitude (degrees_north)\nlongitude (degrees_east)\nDate_Isolated (units)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_949101_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_949101_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_949101_v1/index.htmlTable https://www.bco-dmo.org/dataset/949101 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_949101_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_949101_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_949101_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_943861_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_943861_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_943861_v1/ public [Euphotic Zone] - Estimates of Euphotic Zone (EZ) depths from R/V Roger Revelle cruise RR2201 in the Eastern Indian Ocean (Argo Basin) from February to March 2022 (Collaborative Research: Mesoscale variability in nitrogen sources and food-web dynamics supporting larval southern bluefin tuna in the eastern Indian Ocean) This dataset contains estimates of Euphotic Zone (EZ) depths based on mean light extinction coefficients calculated from PAR sensor readings at 5 and 100 meters from cruise RR2201 on R/V Roger Revelle (BLOOFINZ-IO, January-March 2022) in the Argo Basin region off NW Australia.\n\ncdm_data_type = Other\nVARIABLES:\nCruise (unitless)\nEvent (unitless)\ntime (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\nlatitude (degrees_north)\nlongitude (degrees_east)\nCycle_Day (unitless)\nCTD_Cast (unitless)\nPAR_5m (umoles of photons m-2 s-1)\nPAR_100m (umoles of photons m-2 s-1)\nExt_Coeff (reciprocal meters (m-1))\nEZ_1pcnt (meters (m))\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_943861_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_943861_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_943861_v1/index.htmlTable https://www.bco-dmo.org/dataset/943861 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_943861_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_943861_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_943861_v1
log in [Experiment 1: the effect of relatedness and density on survival and growth.] - The effect of relatedness and density on survival and growth of Bugula neritina in the Gulf of Mexico, Florida from  October to December 2021. (Consequences of kin structure in benthic marine systems) In the Gulf of Mexico, Florida, we performed a series of field experiments using an experimentally tractable species (the bryozoan Bugula neritina) to test the hypothesis that the density, spatial arrangement, and genetic relatedness of neighbours differentially affect survival, growth, reproduction, paternity, and sperm dispersal. We manipulated the density and relatedness of neighbours and found that increased density reduced survival but not growth rate, and that there was no effect of relatedness on survival, growth, or fecundity, in contrast to previous studies. We also manipulated the distances to the nearest neighbour and used genetic markers to assign paternity within known mother–offspring groups to estimate how proximity affects mating success. Distance to the nearest neighbour did not affect the number of settlers produced, the paternity share, or the degree of multiple paternity. Overall, larger than expected sperm dispersal led to high multiple paternity, regardless of the distance to the nearest neighbour.\n\ncdm_data_type = Other\nVARIABLES:\nlatitude (degrees_north)\nlongitude (degrees_east)\nUnique_ID (unitless)\nMother_colony (unitless)\nDensity (unitless)\nRelatedness (unitless)\nGrid_position (unitless)\nX (unitless)\nY (unitless)\nInside_outside (unitless)\nDate (unitless)\nAge_days (unitless)\nBifurcations (unitless)\nZooids (unitless)\nSurvival (unitless)\n BCO-DMO bcodmo_dataset_968839_v1
log in [Experiment 2: the effect of relatedness on survival, growth, and reproduction] - The effect of relatedness on survival, growth, and reproduction of Bugula neritina in the Gulf of Mexico, Florida from March to June 2022. (Consequences of kin structure in benthic marine systems) In the Gulf of Mexico, Florida, we performed a series of field experiments using an experimentally tractable species (the bryozoan Bugula neritina) to test the hypothesis that the density, spatial arrangement, and genetic relatedness of neighbours differentially affect survival, growth, reproduction, paternity, and sperm dispersal. We manipulated the density and relatedness of neighbours and found that increased density reduced survival but not growth rate, and that there was no effect of relatedness on survival, growth, or fecundity, in contrast to previous studies. We also manipulated the distances to the nearest neighbour and used genetic markers to assign paternity within known mother–offspring groups to estimate how proximity affects mating success. Distance to the nearest neighbour did not affect the number of settlers produced, the paternity share, or the degree of multiple paternity. Overall, larger than expected sperm dispersal led to high multiple paternity, regardless of the distance to the nearest neighbour.\n\ncdm_data_type = Other\nVARIABLES:\nlatitude (degrees_north)\nlongitude (degrees_east)\nUnique_ID (unitless)\nMother_colony (unitless)\nRelatedness (unitless)\nGrid_position (unitless)\nX (unitless)\nY (unitless)\nPosition (unitless)\nDate (unitless)\nAge_days (unitless)\nBifurcations (unitless)\nZooids (unitless)\nSurvival (unitless)\nFertilized_ovicells (unitless)\nOvicells_total (unitless)\n BCO-DMO bcodmo_dataset_968545_v1
log in [Experiment 3: the effect of distance to the nearest neighbour on reproductive output and paternity] - The effect of distance to the nearest neighbour on reproductive output and paternity of Bugula neritina in the Gulf of Mexico, Florida from April to June 2021. (Consequences of kin structure in benthic marine systems) In the Gulf of Mexico, Florida, we performed a series of field experiments using an experimentally tractable species (the bryozoan Bugula neritina) to test the hypothesis that the density, spatial arrangement, and genetic relatedness of neighbours differentially affect survival, growth, reproduction, paternity, and sperm dispersal. We manipulated the density and relatedness of neighbours and found that increased density reduced survival but not growth rate, and that there was no effect of relatedness on survival, growth, or fecundity, in contrast to previous studies. We also manipulated the distances to the nearest neighbour and used genetic markers to assign paternity within known mother–offspring groups to estimate how proximity affects mating success. Distance to the nearest neighbour did not affect the number of settlers produced, the paternity share, or the degree of multiple paternity. Overall, larger than expected sperm dispersal led to high multiple paternity, regardless of the distance to the nearest neighbour.\n\ncdm_data_type = Other\nVARIABLES:\nlatitude (degrees_north)\nlongitude (degrees_east)\nColony (units)\nBlock (units)\nTreatment (units)\nPosition (units)\nDirection (units)\nX (units)\nY (units)\nTime_days (units)\nBifurcations (units)\nZooids (units)\nrgr40 (units)\nOffspring (units)\nSamples (units)\nSurvival (units)\n BCO-DMO bcodmo_dataset_969070_v1
log in [Experimental Carbonate System Controls on Mytilus trossulus Shell Growth] - Ocean Carbonate System Controls on Mytilus trossulus Shell Growth: Experimental Dataset from 2023-2024 (Invertebrate calcification and behavior in seawater of decoupled carbonate chemistry) This dataset contains experimental carbonate chemistry manipulations and calcification responses in adult Mytilus trossulus, conducted between September 2023 and February 2024. Mussels were collected from Penn Cove Shellfish Farm in Penn Cove, WA, a coastal environment influenced by freshwater input. The experiment used multiple treatment types designed to decouple carbonate system parameters commonly altered by freshwater runoff, which influences seawater carbonate chemistry through changes in total alkalinity (TA) and dissolved inorganic carbon (DIC), with subsequent shifts in pH, [HCO3−], [CO3²−], and saturation state (Ω). \n\n\n\nThe dataset includes seawater carbonate chemistry conditions (e.g., pH, total alkalinity (TA), DIC, [HCO3−], pCO2, Ω, and [Ca2+]) and biological response measurements of calcification and dissolution rates. Experimental treatments included: (1) multiple treatments spanning low-to-high pH and [HCO3−]; (2) a range of saturation states under high and low [HCO3−] conditions using both live mussels and de-fleshed mussel shells; and (3) calcium manipulations to distinguish the relative influence of pH versus Ω on calcification by altering [Ca2+] independently of pH.\n\n\n\nThis dataset describes treatment conditions, shell and tissue mass, carbonate system calculations, and calcification and dissolution rates calculated using the ammonia-corrected alkalinity anomaly technique (Gazeau et al. 2013). Future researchers can use this data to examine the effect of freshwater-influenced seawater conditions on calcification responses in  coastal calcifying organisms. Datasets are provided in .csv format for maximum accessibility and interoperability.\n\ncdm_data_type = Other\nVARIABLES:\nmussel_number (unitless)\nspecies (unitless)\nscientific_name (unitless)\naphia_id (unitless)\n... (26 more variables)\n BCO-DMO bcodmo_dataset_1007055_v1
log in [EXPORTS NA nuts and TM field data] - Dissolved trace metal and macronutrient concentrations rom field samples collected during the EXPORTS North Atlantic campaign at the Porcupine Abyssal Plain-Sustained Observatory (PAP-SO) site on board the RRS Discovery (DY131) in May 2021 (Collaborative Research: Diatoms, Food Webs and Carbon Export - Leveraging NASA EXPORTS to Test the Role of Diatom Physiology in the Biological Carbon Pump) This dataset includes dissolved trace metal (manganese, iron, cobalt, nickel, copper, cadmium, zinc, lead) and macronutrient (nitrate+nitrite, phosphate, silicic acid, nitrite) concentration data from field samples collected during the EXPORTS North Atlantic campaign at the Porcupine Abyssal Plain-Sustained Observatory (PAP-SO) site on board the RRS Discovery (DY131). These data were primarily collected opportunistically during the course of water collection for incubation experiments (see separate dataset for incubations), and provide field context for the shipboard incubation experiments as well as temporal characterization of a retentive anticyclonic eddy occupied over the course of the cruise.\n\nThis research focuses on the vertical export of the carbon associated with a major group of phytoplankton, the diatoms in the North Atlantic near the Porcupine Abyssal Plain. The major objective is to understand how diatom community composition and the prevailing nutrient conditions create taxonomic differences in metabolic state that combine to direct diatom taxa to different carbon export pathways. The focus is on diatoms, given their large contribution to global marine primary productivity and carbon export which translates into a significant contribution to the biogeochemical cycling of carbon (C), nitrogen (N), phosphorus (P), iron (Fe) and silicon (Si). It is hypothesized that the type and degree of diatom physiological stress are vital aspects of ecosystem state that drive export. To test this hypothesis, combined investigator expertise in phytoplankton physiology, genomics, and trace element chemistry is used to assess the rates of nutrient use and the genetic composition and response of diatom communities, with measurements of silicon and iron stress to evaluate stress as a predictor of the path of diatom carbon export. The EXPORTS field campaign in the North Atlantic sampled a retentive eddy over nearly a month in May 2021, which coincided with the decline of the North Atlantic Spring Bloom.\n\ncdm_data_type = Other\nVARIABLES:\nCRUISE_ID (unitless)\nEVTNBR (unitless)\nDATE_UTC (unitless)\nTIME_UTC (unitless)\ntime (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\n... (90 more variables)\n BCO-DMO bcodmo_dataset_954941_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_843270_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_843270_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_843270_v1/ public [Extracellular reef seawater metabolites from the Jardines de la Reina reef-system] - Sampling and accession information for extracellular reef seawater metabolites collected from the Jardines de la Reina reef-system, Cuba in November of 2017 (Signature exometabolomes of Caribbean corals and influences on reef picoplankton) This dataset contains sampling and accession information for extracellular reef seawater metabolites collected from two different depths across 9 different shallow forereefs in the Jardines de la Reina reef-system, Cuba. Reef seawater samples, collected in duplicate per depth and location, were subjected to targeted and untargeted liquid chromatography mass spectrometry (LC-MS) methods in addition to a suite of biogeochemical measurements (see Related Datasets for access to the biochemistry data). Raw and .mzML data files from the LC-MS methods are located at MetaboLights database, using accession number MTBLS1820.(Accessible from https://www.ebi.ac.uk/metabolights/MTBLS1820/). \n\nThese data were published in Weber et al. (2020).\n\ncdm_data_type = Other\nVARIABLES:\nMetaboLights_Study_Number (unitless)\nSample_Name (unitless)\nreef (unitless)\nsite (unitless)\nSeawater_collection_date (unitless)\nLatitude (degrees_north)\nlongitude (degrees_east)\nSample_type (unitless)\nSeawater_sampling_location (unitless)\nDepth (unitless)\nReplicate (unitless)\nProfiling_mode (unitless)\nIon_mode (unitless)\nraw_file_name (unitless)\nderived_file_name (unitless)\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_843270_v1/index.htmlTable https://www.bco-dmo.org/dataset/843270 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_843270_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_843270_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_843270_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_878635_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_878635_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_878635_v1/ public [Fatty acid measurements - experimental animals] - Fatty acid measurements for animals used in laboratory-based experiments collected from the Gulf of Mexico Estuary near Port Aransas, Texas from 2020 to 2022 (Counter-gradient Flow of Fatty Acids in Marine Food Webs Through Egg Boons) Fatty acid measurements for animals used in laboratory-based experiments collected from the Gulf of Mexico Estuary near Port Aransas, Texas from 2020 to 2022.  Laboratory experiments took place at the Fisheries and Mariculture Laboratory of the University of Texas Marine Science Institute from July 2021 to November 2022.\n\ncdm_data_type = Other\nVARIABLES:\nTaxon (unitless)\nTissue_sampled (unitless)\nLength (cm)\nTank_number (unitless)\nAcclimation_days (days)\nDays_after_acclimation (days)\nTreatment (unitless)\nDiet_fed (unitless)\nNotes (unitless)\nPrimary_check (unitless)\nC14_0_mg (milligrams per gram of dry weight (mg g-1 dw))\nC15_0_mg (milligrams per gram of dry weight (mg g-1 dw))\nC16_0_mg (milligrams per gram of dry weight (mg g-1 dw))\nC16_1n7_mg (milligrams per gram of dry weight (mg g-1 dw))\nC16_2n4_mg (milligrams per gram of dry weight (mg g-1 dw))\nC17_0_mg (milligrams per gram of dry weight (mg g-1 dw))\nC16_3n4_mg (milligrams per gram of dry weight (mg g-1 dw))\nC17_1_mg (milligrams per gram of dry weight (mg g-1 dw))\nC18_0_mg (milligrams per gram of dry weight (mg g-1 dw))\nC18_1n9_mg (milligrams per gram of dry weight (mg g-1 dw))\nC18_1n7_mg (milligrams per gram of dry weight (mg g-1 dw))\nC18_2n6_mg (milligrams per gram of dry weight (mg g-1 dw))\nC18_3n6_mg (milligrams per gram of dry weight (mg g-1 dw))\nC18_3n4_mg (milligrams per gram of dry weight (mg g-1 dw))\n... (54 more variables)\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_878635_v1/index.htmlTable https://www.bco-dmo.org/dataset/878635 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_878635_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_878635_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_878635_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_908698_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_908698_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_908698_v1/ public [Fatty acid measurements – field samples and lab eggs] - Fatty acid measurements for various marine samples collected from the Gulf of Mexico Estuary near Port Aransas, Texas from 2020 to 2022 as well as of red drum eggs spawned from captive adults from 2020 to 2022 (Counter-gradient Flow of Fatty Acids in Marine Food Webs Through Egg Boons) Fatty acid measurements for various marine samples collected from the Gulf of Mexico Estuary near Port Aransas, Texas from 2020 to 2022 as well as of red drum eggs spawned from captive adults from 2020 to 2022.\n\ncdm_data_type = Other\nVARIABLES:\nTaxon (unitless)\nCommon_name (unitless)\nSample_ID (unitless)\nYear (unitless)\nMonth (unitless)\nDate_collected (unitless)\nDate_analyzed (unitless)\nClassification (unitless)\nNotes (unitless)\nSite (unitless)\nlat (degrees_north)\nlongitude (degrees_east)\nLength (centimeters (cm))\nPrimary_check (unitless)\nC14_pt_0_mg (milligrams per gram dry weight (mg g-1 dw))\nC15_pt_0_mg (milligrams per gram dry weight (mg g-1 dw))\nC16_pt_0_mg (milligrams per gram dry weight (mg g-1 dw))\nC16_pt_1n7_mg (milligrams per gram dry weight (mg g-1 dw))\nC16_pt_2n4_mg (milligrams per gram dry weight (mg g-1 dw))\nC17_pt_0_mg (milligrams per gram dry weight (mg g-1 dw))\nC16_pt_3n4_mg (milligrams per gram dry weight (mg g-1 dw))\nC17_pt_1_mg (milligrams per gram dry weight (mg g-1 dw))\nC18_pt_0_mg (milligrams per gram dry weight (mg g-1 dw))\nC18_pt_1n9_mg (milligrams per gram dry weight (mg g-1 dw))\nC18_pt_1n7_mg (milligrams per gram dry weight (mg g-1 dw))\n... (57 more variables)\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_908698_v1/index.htmlTable https://www.bco-dmo.org/dataset/908698 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_908698_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_908698_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_908698_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_994200_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_994200_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_994200_v1/ public [Fe uptake rates] - Iron uptake rates from Hawaii Ocean Time-series (HOT) cruises on R/V Kilo Moana at Station ALOHA in the North Pacific Subtropical Gyre from May 2021 to September 2023 (Quantifying Iron Turnover in the Upper Ocean via Time-series Measurements at Station ALOHA) Iron (Fe) uptake rates were measured on Hawaii Ocean Time-series (HOT) cruises between May 2021 and September 2023. All samples were collected at Station ALOHA using a trace metal rosette. Fe uptake incubations were performed using seawater from the surface mixed layer (25 meters) following a low-level 57Fe-58Fe isotope double spike technique. Particulate and dissolved samples at the end of the 24-hour uptake experiment were analyzed by multi-collector inductively coupled plasma mass spectrometry at the University of Southern California using a Thermo Scientific Neptune mass spectrometer. This dataset is part of a larger study focused on the cycling of trace metals in the North Pacific Subtropical Gyre, and is embedded within the HOT program.\n\ncdm_data_type = Other\nVARIABLES:\nCruise (unitless)\nDateTime_start_HST (unitless)\nDateTime_end_HST (unitless)\ntime (Start_iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\nEnd_ISO_DateTime_UTC (seconds since 1970-01-01T00:00:00Z)\nlongitude (degrees_east)\nlatitude (degrees_north)\ndepth (m)\nReplicate (unitless)\nFeDS_turnover (days)\nFe_uptake_rate (picomolar per day (pM/d))\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_994200_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_994200_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_994200_v1/index.htmlTable https://osprey.bco-dmo.org/dataset/994200 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_994200_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_994200_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_994200_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_948204_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_948204_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_948204_v1/ public [Fear behavior with predators: Nucella] - Behavioral data of Nucella lamellosa in the presence of predators within laboratory mesocosms at Bodega Marine Lab in 2018 (Trophic consequences of ocean acidification: Intertidal sea star predators and their grazer prey) To examine the intensity of anti-predatory behavior of both Tegula funebralis and Nucella lamellosa, we measured the proportion of time individual snails spend above the waterline in the presence and absence of their predator species, Pisaster ochraceus and Cancer productus. Data from this experiment are used to calculate estimated predation rates for snails that do not behaviorally respond to their predators, which are used to determine the impact anti-predatory responses have on the strength of trophic cascades. The experiment was conducted within laboratory mesocosms at Bodega Marine Lab in 2018 and 2019.\n\nThis dataset reports results from mesocosms in this experiment with Nucella lamellosa in the presence of predator cues. See \"Related Datasets\" section for results from other mesocosms and experiments to be published in Ng & Gaylord (2025, in-prep).\n\ncdm_data_type = Other\nVARIABLES:\nDay (days)\nDate_local (unitless)\nTime_local (unitless)\ntime (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\nSump (unitless)\nContainer (unitless)\nContainer_past (unitless)\nIndiv (unitless)\nInduced (unitless)\nPisaster (unitless)\nPisaster_size (millimeters (mm))\nBehavior (unitless)\nBehavior_num (unitless)\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_948204_v1/index.htmlTable https://osprey.bco-dmo.org/dataset/948204 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_948204_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_948204_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_948204_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_948210_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_948210_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_948210_v1/ public [Fear behavior with predators: Tegula in the presence of Cancer crab cues] - Behavioral data of Tegula funebralis in the presence of predator Cancer productus within laboratory mesocosms at Bodega Marine Lab in 2018 (Trophic consequences of ocean acidification: Intertidal sea star predators and their grazer prey) To examine the intensity of anti-predatory behavior of both Tegula funebralis and Nucella lamellosa, we measured the proportion of time individual snails spend above the waterline in the presence and absence of their predator species, Pisaster ochraceus and Cancer productus. Data from this experiment are used to calculate estimated predation rates for snails that do not behaviorally respond to their predators, which are used to determine the impact anti-predatory responses have on the strength of trophic cascades. The experiment was conducted within laboratory mesocosms at Bodega Marine Lab in 2018 and 2019.\n\nThis dataset reports results from mesocosms in this experiment with Tegula funebralis in the presence of predator Cancer productus. See \"Related Datasets\" section for results from other mesocosms and experiments to be published in Ng & Gaylord (2025, in-prep).\n\ncdm_data_type = Other\nVARIABLES:\nDay (days)\nDate_local (unitless)\nTime_local (unitless)\ntime (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\nSeatable (unitless)\nContainer (unitless)\nCrab (unitless)\nC_size (millimeters (mm))\nSex (unitless)\nOut (unitless)\nIn (unitless)\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_948210_v1/index.htmlTable https://osprey.bco-dmo.org/dataset/948210 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_948210_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_948210_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_948210_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_948216_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_948216_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_948216_v1/ public [Fear behavior with predators: Tegula in the presence of Pisaster cues] - Behavioral data of Tegula funebralis in the presence of predator Pisaster ochraceus within laboratory mesocosms at Bodega Marine Lab in 2018 (Trophic consequences of ocean acidification: Intertidal sea star predators and their grazer prey) To examine the intensity of anti-predatory behavior of both Tegula funebralis and Nucella lamellosa, we measured the proportion of time individual snails spend above the waterline in the presence and absence of their predator species, Pisaster ochraceus and Cancer productus. Data from this experiment are used to calculate estimated predation rates for snails that do not behaviorally respond to their predators, which are used to determine the impact anti-predatory responses have on the strength of trophic cascades. The experiment was conducted within laboratory mesocosms at Bodega Marine Lab in 2018 and 2019.\n\nThis dataset reports results from mesocosms in this experiment with Tegula funebralis in the presence of predator Pisaster ochraceus. See \"Related Datasets\" section for results from other mesocosms and experiments to be published in Ng & Gaylord (2025, in-prep).\n\ncdm_data_type = Other\nVARIABLES:\nObservation (unitless)\nDate_local (unitless)\nTime_local (unitless)\ntime (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\nDay (days)\nContainers (unitless)\nPisaster (unitless)\nOut (unitless)\nIn (unitless)\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_948216_v1/index.htmlTable https://osprey.bco-dmo.org/dataset/948216 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_948216_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_948216_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_948216_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_948222_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_948222_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_948222_v1/ public [Fear behavior with predators: tethered Nucella lamellosa in the presence of predator Pisaster ochraceus] - Predation data of tethered Nucella lamellosa in the presence of predator Pisaster ochraceus within laboratory mesocosms at Bodega Marine Lab in 2019 (Trophic consequences of ocean acidification: Intertidal sea star predators and their grazer prey) To examine the impacts of fear removal on the strength of trophic cascades, we measured predation rates on tethered and untethered Nucella lamellosa in the presence of Pisaster ochraceus. Data from these experiments were used to estimate predation rates on Nucella that did not display behavioral fear response. Similar predation trials were conducted with morphologically induced Nucella to estimate the effect of morphological defenses on predation rates. The experiment was conducted within laboratory mesocosms at Bodega Marine Lab in 2019.\n\ncdm_data_type = Other\nVARIABLES:\nDay (days)\nDate_local (unitless)\nTime_local (unitless)\ntime (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\nSump (unitless)\nContainer (unitless)\nContainer_past (unitless)\nIndiv (unitless)\nInduced (unitless)\nTethered (unitless)\nPisaster_size (millimeters (mm))\nIndividual (units)\nLength (millimeters (mm))\nHeight (millimeters (mm))\nRetraction (millimeters (mm))\nWeight (grams (g))\nSurvival (unitless)\nEating (unitless)\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_948222_v1/index.htmlTable https://osprey.bco-dmo.org/dataset/948222 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_948222_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_948222_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_948222_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_959435_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_959435_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_959435_v1/ public [Fear behavior with predators: tethered Tegula funebralis in the presence of predator Cancer productus] - Predation data of tethered Tegula funebralis in the presence of predator Cancer productus within laboratory mesocosms at Bodega Marine Lab in 2018 (Trophic consequences of ocean acidification: Intertidal sea star predators and their grazer prey) To examine the impacts of fear removal on the strength of trophic cascades, we measured predation rates on tethered and untethered Tegula funebralis in the presence of Pisaster ochraceus and Cancer productus. Data from these experiments were used to estimate predation rates on Tegula that did not display a behavioral fear response. Additionally, we used two predator species of differing attack rates to examine how predator identity might influence the loss of fear in a trophic cascade. The experiment was conducted within laboratory mesocosms at Bodega Marine Lab in 2018.\n\nThis dataset reports the results for experiments with Cancer productus as the predator. See related dataset https://www.bco-dmo.org/node/959441 for results with predator Pisaster ochraceus.\n\ncdm_data_type = Other\nVARIABLES:\nDate_local (unitless)\nDay (days)\nTime_local (unitless)\ntime (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\nTable (unitless)\nSize (millimeters (mm))\nTethered (unitless)\nSex (unitless)\nContainers (unitless)\nAlive (unitless)\nAlive_C (unitless)\nProp (unitless)\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_959435_v1/index.htmlTable https://osprey.bco-dmo.org/dataset/959435 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_959435_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_959435_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_959435_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_959441_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_959441_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_959441_v1/ public [Fear behavior with predators: tethered Tegula funebralis in the presence of predator Pisaster ochraceus] - Predation data of tethered Tegula funebralis in the presence of predator Pisaster ochraceus within laboratory mesocosms at Bodega Marine Lab in 2018 (Trophic consequences of ocean acidification: Intertidal sea star predators and their grazer prey) To examine the impacts of fear removal on the strength of trophic cascades, we measured predation rates on tethered and untethered Tegula funebralis in the presence of Pisaster ochraceus and Cancer productus. Data from these experiments were used to estimate predation rates on Tegula that did not display a behavioral fear response. Additionally, we used two predator species of differing attack rates to examine how predator identity might influence the loss of fear in a trophic cascade. The experiment was conducted within laboratory mesocosms at Bodega Marine Lab in 2018.\n\nThis dataset reports the results for experiments with Pisaster ochraceus as the predator. See related dataset https://www.bco-dmo.org/node/959435 for results with predator Cancer productus.\n\ncdm_data_type = Other\nVARIABLES:\nDate_local (unitless)\nTime_local (unitless)\ntime (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\nObservation (unitless)\nContainers (unitless)\nTethered (unitless)\nSnails_not_freed (unitless)\nTotal_number_of_snails (unitless)\nSnails_Alive (unitless)\nCumu_snails_eaten (unitless)\nTeth_snails_alive (unitless)\nSnails_currently_being_consumed (unitless)\nSnails_Eaten (unitless)\nSeatable (unitless)\nPisaster (millimeters (mm))\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_959441_v1/index.htmlTable https://osprey.bco-dmo.org/dataset/959441 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_959441_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_959441_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_959441_v1
log in [Fecal Pellet Production BATS 2021-2023] - Quantification of zooplankton fecal-pellet production by on-board incubation experiments during seven Bermuda Atlantic Time-series Study (BATS) cruises aboard the R/V Atlantic Explorer from Jul 2021 to Mar 2023 (Collaborative Research: Zooplankton mediation of particle formation in the Sargasso Sea) This dataset documents zooplankton fecal-pellet production, organismal traits, and zooplankton-mediated aggregation measured during seven Bermuda Atlantic Time-series Study (BATS) cruises (AE2112, AE2114, AE2124, AE2204, AE2214, AE2224, AE2306) aboard the R/V Atlantic Explorer between 2021-07-08 and 2023-03-26 in the Sargasso Sea near Bermuda. Zooplankton were collected from the upper 300 m using MOCNESS tows and incubated onboard in 12-hour experiments conducted during both day and night. Species-specific fecal-pellet production rates were quantified from these incubations across all six cruises and are reported in this dataset, along with experiment metadata (cruise identifiers, collection and incubation times, and notes) and taxonomic identification of zooplankton used in each incubation. Supplemental files provide individual fecal pellet morphometrics, classification, and summed pellet volumes (Fecal_Pellets.csv), and individual zooplankton biovolume and biomass estimates from post-incubation images (FPP_Zooplankton.csv). \n\nTogether with the related datasets, these datasets provide integrated measurements linking zooplankton identity, size, fecal-pellet production, pellet elemental composition, and aggregate formation, supporting process-based analyses of zooplankton roles in particle production and vertical carbon transfer at BATS. The data were collected aboard the R/V Atlantic Explorer through the collaborative efforts of the laboratories of Dr. Susanne Neuer, Dr. Amy Maas, and Dr. Leocadio Blanco-Bercial, affiliated with Arizona State University and the Bermuda Institute of Ocean Sciences.\n\ncdm_data_type = Other\nVARIABLES:\nDate (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\nCruise (unitless)\nD_N (unitless)\nStart_Time (unitless)\nEnd_Time (unitless)\nTotal_Time (hours)\nHours (hours)\n... (14 more variables)\n BCO-DMO bcodmo_dataset_997926_v1
log in [Fecal Pellet Production BATS 2021-2023] - Quantification of zooplankton fecal-pellet production by on-board incubation experiments during seven Bermuda Atlantic Time-series Study (BATS) cruises aboard the R/V Atlantic Explorer from Jul 2021 to Mar 2023 (Collaborative Research: Zooplankton mediation of particle formation in the Sargasso Sea) This dataset documents zooplankton fecal-pellet production, organismal traits, and zooplankton-mediated aggregation measured during seven Bermuda Atlantic Time-series Study (BATS) cruises (AE2112, AE2114, AE2124, AE2204, AE2214, AE2224, AE2306) aboard the R/V Atlantic Explorer between 2021-07-08 and 2023-03-26 in the Sargasso Sea near Bermuda. Zooplankton were collected from the upper 300 m using MOCNESS tows and incubated onboard in 12-hour experiments conducted during both day and night. Species-specific fecal-pellet production rates were quantified from these incubations across all six cruises and are reported in this dataset, along with experiment metadata (cruise identifiers, collection and incubation times, and notes) and taxonomic identification of zooplankton used in each incubation. Supplemental files provide individual fecal pellet morphometrics, classification, and summed pellet volumes (Fecal_Pellets.csv), and individual zooplankton biovolume and biomass estimates from post-incubation images (FPP_Zooplankton.csv). \n\nTogether with the related datasets, these datasets provide integrated measurements linking zooplankton identity, size, fecal-pellet production, pellet elemental composition, and aggregate formation, supporting process-based analyses of zooplankton roles in particle production and vertical carbon transfer at BATS. The data were collected aboard the R/V Atlantic Explorer through the collaborative efforts of the laboratories of Dr. Susanne Neuer, Dr. Amy Maas, and Dr. Leocadio Blanco-Bercial, affiliated with Arizona State University and the Bermuda Institute of Ocean Sciences.\n\ncdm_data_type = Other\nVARIABLES:\nDate (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\nCruise (unitless)\nD_N (unitless)\nStart_Time (unitless)\nEnd_Time (unitless)\nTotal_Time (hours)\nHours (hours)\n... (15 more variables)\n BCO-DMO bcodmo_dataset_997926_v2
log in [Feeding on the community] - Microbial abundance and optical density from micropredator-prey microcosm experiments using sub-estuary seawater from Apalachicola Bay, FL conducted in February and March of 2025 (Excellence in Research: Assessing the Control by Multiple Micropredators on Bacterial Communities in Estuarine Environments and Characterization of Prey Lysis Products Resulting from Each Predator) The predation ecology of micro-predators on marine microbial consortia in 2025.  This dataset includes microbial abundance and optical density from micropredator-prey microcosm experiments using sub-estuary seawater from Apalachicola Bay, FL conducted in February and March of 2025.\n\nStudy Objective: Micro-predators prey on marine microbial communities and account for much of bacterial mortality. However, the predation efficacy of micro-predators in natural seawater on the autochthonous microbial community is not well understood. This is because many studies on micro-predation have focused on laboratory-grown predators and their common prey. In this study, we examine and compare how natural micro-predators feed on a mixed group of microbes in seawater versus single prey species, emphasizing the role of micro-predators in community dynamics and bacteria activity and survival. \n\nMethod: The prey in this study consists of cultured bacteria in natural seawater supplemented with 50% marine broth 2216. The mixture was incubated for 48 h and then grown on 50% marine agar 2216 for 48 h. Vibrio parahaemolyticus, Roseobacter spp. and Flavobacterium spp. used as single prey were grown on seawater yeast extract (SWYE) for 48 h, and then washed twice, and acclimatized for 12 h in sterile seawater. Experimental laboratory microcosms were prepared by selective filtration of natural seawater to select, respectively, for protists, the predatory bacteria (Halobacteriovorax, HBx) and viruses, based on their size difference. The various microcosms were then inoculated with the cultured bacterial communities and the interactions between the bacteria and the HBx, protists and virus micro-predators were monitored.  \n\nResults:  In all treatment groups, protist abundance decreased by 1 log-fold between 12 and 36 h, while levels in seawater control remained constant. The HBx abundance increased first in the consortium (after 36 h of incubation) as compared to 60 h for Roseobacter, with steep declines in OD and Vibrio counts also observed at this time. Optical density (OD) and total Vibrio abundance showed similar trends across microcosms, with the sharpest decline in unfiltered natural seawater (NSW) containing protists, HBx, and viruses, followed by 0.8 μm-filtered seawater (NSW-0.8), 0.1 μm-filtered seawater (NSW-0.1), and sterile seawater (SW). The OD remained stable in the consortium-only microcosm, up to 60 h, while the levels decreased slightly for other microcosms. In all the microcosms, total Vibrio and V. parahaemolyticus remained steady until 60 h, then declined sharply, in the following order; NSW < NSW-0.8 < NSW-0.1. Notably, the decline occurred first in microcosms with V. parahaemolyticus alone than in those with the consortium. \n\nConclusion: In total, HBx showed the largest increase across microcosms (6 log-folds) as compared to the protists (increased by 2 log-folds).  This demonstrates the potential effectiveness of HBx and protists in controlling bacterial populations in saltwater systems.\n\ncdm_data_type = Other\nVARIABLES:\nsample_id (unitless)\n... (8 more variables)\n BCO-DMO bcodmo_dataset_998644_v1
log in [FeOA Incubation trace metals and pH] - Dissolved trace metal concentrations, nickel speciation, and pH in shipboard incubations conducted on FeOA project cruise SKQ202209S on the R/V Sikuliaq between June 4 2022 to July 1 2022 in the NE Pacific. (Collaborative Research: The Effect of Ocean Acidification on Fe Availability to Phytoplankton in Coastal and Oceanic Waters of the Eastern North Pacific) This dataset includes the concentrations of total dissolved trace metals (manganese, iron, added iron-57, nickel, copper, zinc), of labile dissolved nickel, and pH measured in samples collected from phytoplankton shipboard incubation experiments conducted on the FeOA cruise SKQ202209S on R/V Sikuliaq in the NE Pacific from June to July 2022. \nThis project investigates the effects of ocean acidification on the associations between iron and organic ligands in seawater and on iron bioavailability to marine phytoplankton communities. The project used a combination of shipboard incubation experiments and depth profiles to characterize iron speciation and cycling across coastal upwelling, oligotrophic open ocean, and iron-limited subarctic oceanographic regimes in the NE Pacific. Surface seawater was incubated at pH of 8.1, 7.6, and 7.1 with natural iron and with dissolved iron amendments in order to investigate interactions between pH and iron bioavailability across the different regimes. Understanding how pH influences iron and its relationship with ligands provides important information for assessing the impacts of ocean acidification on primary production and biogeochemical processes.\n\ncdm_data_type = Other\nVARIABLES:\nFeOA_NBR (unitless)\nEVTNBR (unitless)\nDATE_SHIP (unitless)\nTIMESTART_SHIP (unitless)\nTIMESTOP_SHIP (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\nPLATFORM (unitless)\nSTNNBR (unitless)\nINCNBR (unitless)\nINCDAY (unitless)\nINCTREATMENT (unitless)\nBTLNBR_INC (unitless)\nINCLABEL (unitless)\npH (unitless)\n... (23 more variables)\n BCO-DMO bcodmo_dataset_957607_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_950296_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_950296_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_950296_v1/ public [FeOA Profile Data] - Depth profile chlorophyll, macronutrient, trace metal, metal speciation, and carbon system data from FeOA project cruise SKQ202209S on the R/V Sikuliaq in the Northeast Pacific between June and July 2022 (Collaborative Research: The Effect of Ocean Acidification on Fe Availability to Phytoplankton in Coastal and Oceanic Waters of the Eastern North Pacific) This dataset includes the concentrations of dissolved inorganic macronutrients (phosphate, nitrate plus nitrite (N+N), silicic acid, and nitrite), chlorophyll a and phaeophytin, dissolved trace metals (iron, manganese, nickel, zinc, copper), and labile dissolved nickel, as well as pH and total alkalinity measurements, from discrete depth profile samples collected on the FeOA cruise SKQ202209S on R/V Sikuliaq in the Northeast Pacific from June to July 2022.\n\nThis project investigates the effects of ocean acidification on the associations between iron and organic ligands in seawater and on iron bioavailability to marine phytoplankton communities. The project used a combination of shipboard incubation experiments and depth profiles to characterize iron speciation and cycling across coastal upwelling, oligotrophic open ocean, and iron-limited subarctic oceanographic regimes in the NE Pacific. Surface seawater was incubated at pH of 8.1, 7.6, and 7.1 with natural iron and with dissolved iron amendments in order to investigate interactions between pH and iron bioavailability across the different regimes. Understanding how pH influences iron and its relationship with ligands provides important information for assessing the impacts of ocean acidification on primary production and biogeochemical processes.\n\ncdm_data_type = Other\nVARIABLES:\nCRUISE_ID (unitless)\nEVTNBR (unitless)\nDATE_SHIP (unitless)\nTIME_IN_SHIP (unitless)\nTIME_OUT_SHIP (unitless)\ntime (In_iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\nOUT_ISO_DateTime_UTC (seconds since 1970-01-01T00:00:00Z)\nlatitude (degrees_north)\nlongitude (degrees_east)\nPLATFORM (unitless)\nCASTNBR (unitless)\nSTNNBR (unitless)\nBTLNBR (unitless)\n... (50 more variables)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_950296_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_950296_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_950296_v1/index.htmlTable https://www.bco-dmo.org/dataset/950296 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_950296_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_950296_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_950296_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_926315_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_926315_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_926315_v1/ public [Fertilization success in Porites lobata gamete age assays] - Fertilization success rates from gamete age assays using eggs and sperm from Porites lobata corals in April-May 2023 (Collaborative Research: How do selection, plasticity, and dispersal interact to determine coral success in warmer and more variable environments?) This dataset includes fertilization success rates from gamete age assays using eggs and sperm from Porites lobata corals in April-May 2023. Porites lobata colonies were collected from study sites in the Rock Islands Southern Lagoon in the Republic of Palau. Colonies were isolated in individual plastic containers at the Palau International Coral Reef Center. Sperm from selected male colonies were pooled in a single container, and eggs were gently poured into this pool, allowing fertilization to commence. Fertilization success was evaluated visually 2-3 hours after fertilization began by observing a sub-sample of the eggs from each cross under a dissecting microscope and counting whole (undivided) eggs and dividing embryos.\n\ncdm_data_type = Other\nVARIABLES:\nCross (unitless)\nAge (minutes)\nReplicate (unitless)\nFert_rate (unitless)\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_926315_v1/index.htmlTable https://www.bco-dmo.org/dataset/926315 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_926315_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_926315_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_926315_v1
log in [FGB fate tracking] - Fate data for corals sampled at Flower Garden Banks from March 2023 to July 2024 (Collaborative Research: RAPID: A multi-scale approach to predicting coral disease spread: leveraging an outbreak on coral-dense isolated reefs) These data summarize the fates of sampled corals from an unknown coral disease outbreak at the Flower Garden Banks National Marine Sanctuary. In late August of 2022, an unidentified multi-species acute tissue loss disease with signs and species susceptibility characteristics reminiscent of white plague and/or Stony Coral Tissue Loss Disease (SCTLD) was documented at East and West Bank in the Flower Garden Banks (FGB, northwest Gulf of Mexico, GoM) by NOAA divers. Our interdisciplinary research team of ecologists, connectivity and disease modelers, microbiologists, and coral immunologists are using photomosaics and colony fate-tracking, molecular and microscopy approaches, as well as modeling of disease reservoirs and dispersal to better understand characteristics of this outbreak. A scientific cruise occurred March 5-10, 2023 to mark and collect samples from diseased and healthy corals at one site, Buoy 5, within the Flower Garden Banks National Marine Sanctuary. Thirty-two stony coral colonies were tagged for sampling. Tagging consisted of hammering a uniquely numbered cattle tag into adjacent dead substrate with a masonry nail. A total of 96 samples were collected from the 32 tagged colonies (species: Orbicella franksi, Porites astreoides, Pseudodiploria strigosa). A second scientific cruise took place June 30 to July 4, 2024, when sampled corals were relocated and their current health status was recorded. This dataset includes the health status of each coral at the time of sampling in March 2023, and its health characteristics in July 2024 if it was found.\n\ncdm_data_type = Other\nVARIABLES:\nSpeciesID (unitless)\nSpecies (unitless)\nTag_ID (unitless)\nSampleDate (unitless)\nSamplingHealthState (unitless)\nMonitoringDate (unitless)\nHealthState_2024 (unitless)\nLength_cm_2024 (centimeters (cm))\nWidth_cm_2024 (centimeters (cm))\nHeight_cm_2024 (centimeters (cm))\nOld_Mortality_pcnt_2024 (percent (%))\nRec_Mortality_pcnt_2024 (percent (%))\n BCO-DMO bcodmo_dataset_986526_v1
log in [FHLOO] - Seawater data (2018-2024) recorded from the Friday Harbor Laboratories Ocean Observatory (FHLOO) (FSML: Instrumentation at UW Friday Harbor Laboratories for Studies of the Biological Impacts of Ocean Acidification and Ocean Change) The FHL Ocean Observatory (FHLOO) is a multi-sensor surface array in the San Juan Islands archipelago in the Salish Sea. Conditions in the Salish Sea region are subject to oceanic influences from the Northeast Pacific Ocean combined with freshwater input from the Pacific Northwest. This dynamic region is particularly vulnerable to ocean acidification events driven by elevated carbon dioxide concentration associated with ocean upwelling and is already experiencing pH ranges that other areas will not see for many decades. Data produced by this project may be of interest to chemical and biological oceanographers, and climate scientists interested in the role of biogeochemistry in the global/regional climate system. This dataset includes pH, pCO2, temperature, salinity, and dissolved oxygen data recorded from 2018-2024.\n\ncdm_data_type = Other\nVARIABLES:\ntime (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\nISO_DateTime_Local (unitless)\nDox (micromoles O2 per kilogram (umol O2 kg-1))\nOxSat (unitless (percent))\nSea_Temp_Oxygen (degrees Celsius)\npCO2 (microatmospheres (uatm))\nSea_Temp_pCO2 (degrees Celsius)\nSea_pH (seawater pH units (total hydrogen scale))\nSea_Temp_pH (degrees Celsius)\nSea_Temp_SBE (degrees Celsius)\nSal (psu)\nlatitude (degrees_north)\nlongitude (degrees_east)\n BCO-DMO bcodmo_dataset_826798_v3
log in [Field measurements of periostracum cover from focal population] - Field measurements of periostracum cover of mussels (Mytilus californianus) from focal population at Marshall Gulch Beach, CA in July and August 2022 (Invertebrate calcification and behavior in seawater of decoupled carbonate chemistry) These data build off of experimental incubations described in Dataset 1 and 2. To contextualize laboratory incubations, we measured periostracum cover of live California mussels from multiple microhabitats (relative tidal height and degree of sun exposure) in our focal sample population. This dataset represents periostracum cover measurements of California Mussels, Mytilus californianus, conducted at Marshall Gulch Beach, CA in July and August 2022.\n\nDataset 1: Lab incubations of mussels (Mytilus californianus) examining the influence of periostracum cover and pH on external shell dissolution at Marshall Gulch Beach, CA from August 2021 to March 2022 (see BCO-DMO related dataset)\n\nDataset 2: Lab incubations of mussels (Mytilus californianus) examining the influence of periostracum cover and pH on external shell dissolution at Marshall Gulch Beach, CA from August 2021 to March 2022 (see BCO-DMO related dataset)\n\ncdm_data_type = Other\nVARIABLES:\nID (unitless)\nspecies (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\ndate_start (unitless)\ndate_end (unitless)\nlight (unitless)\nheight (unitless)\nperi_percent (percentage (%))\nshell_L_avg (milimeter (mm))\nshell_A_avg (milimeters squared (mm^2))\n BCO-DMO bcodmo_dataset_935484_v1
log in [Field Sampling: BLAMM HPLC data] - HPLC data from field sampling sites in the Neuse River Estuary, Pamlico Sound, and Onslow Bay in the coastal North Atlantic, offshore from North Carolina, USA, in 2021 and 2022 (Collaborative Research: Vitamin B1 Limitation and Advantageous Use of B1-related Compounds by Marine Bacterioplankton) This dataset contains high performance liquid chromatography (HPLC) data from field sampling sites in the coastal North Atlantic, offshore from North Carolina, USA, during 2021 and 2022. \n\nStudy description:\nThis study collected physical, chemical, and biological parameters measured from field sampling locations within the Neuse River Estuary the Neuse River Estuary (NRE180), Pamlico Sound (PS), and Onslow Bay (OB1). Measurements were made from near-surface waters (0.5m). See \"Related Datasets\" section for data from coordinated sampling efforts. Vitamin B1 amendment bottle experiments were conducted using the sample surface water, as well as collections for metagenomes and transcriptomes. Water was collected by N. Curtis and A. Zhou with the assistance of the UNC-IMS MODMON staff.\n\ncdm_data_type = Other\nVARIABLES:\nStation (unitless)\nTrip_Code (unitless)\nSite (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\nDate (unitless)\nChlide_a (micrograms per liter (ug/L))\nChl_c1c2 (micrograms per liter (ug/L))\nPerid (micrograms per liter (ug/L))\nPerid_flag (unitless)\nBut_fuco (micrograms per liter (ug/L))\nBut_fuco_flag (unitless)\nFuco (micrograms per liter (ug/L))\nHex_fuco (micrograms per liter (ug/L))\nHex_fuco_flag (unitless)\nNeo (micrograms per liter (ug/L))\nViola (micrograms per liter (ug/L))\n... (22 more variables)\n BCO-DMO bcodmo_dataset_935786_v1
log in [Field Sampling: Hydrologic data] - Hydrologic data from field sampling sites in the Neuse River Estuary, Pamlico Sound, and Onslow Bay in the coastal North Atlantic offshore from North Carolina (USA) in 2021 and 2022 (Collaborative Research: Vitamin B1 Limitation and Advantageous Use of B1-related Compounds by Marine Bacterioplankton) This dataset contains hydrologic data from field sampling sites in the coastal North Atlantic, offshore from North Carolina, USA, during 2021 and 2022. \n\nStudy description:\nThis study collected physical, chemical, and biological parameters measured from field sampling locations within the Neuse River Estuary the Neuse River Estuary (NRE180), Pamlico Sound (PS), and Onslow Bay (OB1). Measurements were made from near-surface waters (0.5m). See \"Related Datasets\" section for data from coordinated sampling efforts. Vitamin B1 amendment bottle experiments were conducted using the sample surface water, as well as collections for metagenomes and transcriptomes. Water was collected by N. Curtis and A. Zhou with the assistance of the UNC-IMS MODMON staff.\n\ncdm_data_type = Other\nVARIABLES:\nStation (unitless)\nTrip_Code (unitless)\nSite (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\nDate (unitless)\nYSI_Time (unitless)\ntime (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\nYSI_Depth (m)\nYSI_Temp (degrees Celsius)\nYSI_SpecCond (milliSiemens per centimeter (mS/cm))\nYSI_Salinity (parts per thousand (ppt))\nYSI_Dosat (percent (%))\nYSI_DO (milligrams per liter (mg/L))\nYSI_pH (unitless)\nYSI_Turbidity (Nephelometric Turbidity Unit (NTU))\nCorrect_Chla_IV (micrograms per liter (ug/L))\n... (20 more variables)\n BCO-DMO bcodmo_dataset_935794_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_966488_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_966488_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_966488_v1/ public [Field survey coral microbiome composition] - Accession numbers for 16S rRNA genes from microbial communities from four stony coral species collected across sites in Bahia Almirante, Panama in summer of 2021 (Collaborative Research: Biodiversity and resilience of corals and their microbiomes in response to ocean deoxygenation) This dataset includes accession numbers and related information for 16S rRNA genes from microbial communities from four stony coral species in Bahia Almirante, Panama. Coral microbiomes were sampled by SCUBA divers in summer 2021 from 5 sites at both shallow (3 meters) and deep (10 to 13 meters) depths. These sites span a roughly east-west range representing a gradient of conditions within the bay where western sites are further from the mouth of the bay and eastern sites are closer to the mouth of the bay. Coral species include Agaricia tenuifolia, Montastraea cavernosa, Siderastrea siderea, and Stephenocoenia intersepta. Sequence data is available in NCBI Genbank under BioProject accession PRJNA939210.\n\ncdm_data_type = Other\nVARIABLES:\nSRA_accession (unitless)\nsample_name (unitless)\nbioproject_accession (unitless)\norganism (unitless)\ncollection_date (unitless)\nenv_broad_scale (unitless)\nenv_local_scale (unitless)\nenv_medium (unitless)\ngeo_loc_name (unitless)\nhost (unitless)\ndepth (m)\nlatitude (degrees_north)\nlongitude (degrees_east)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_966488_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_966488_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_966488_v1/index.htmlTable https://osprey.bco-dmo.org/dataset/966488 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_966488_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_966488_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_966488_v1
log in [Fish abundance Moorea Exp 2018-2022] - Fish abundance during 4 year experiment manipulating consumer pressure and nutrient availability on a coral reef in Moorea, French Polynesia from 2018-2022 (Collaborative Research: Tipping points in coral reefs and their associated microbiomes: interactive effects of herbivory, nutrient enrichment, and temperature) Here we experimentally test the relative importance of alterations to top-down and bottom-up processes in driving community development and variability after a simulated disturbance on a coral reef. We use a factorial experiment manipulating consumer pressure and nutrient enrichment for four years on a coral reef in Moorea, French Polynesia. Our experiment consisted of plots (~1.25 m2 each) that manipulated access by consumers via different size openings that allowed different size fishes access to the benthos, creating four levels of consumer pressure (Very Low, Low, Medium, High). These four levels of consumer pressure were crossed with manipulations of nutrient availability with either ambient or nutrient enriched conditions. At the start of the experiment, we removed all live corals and fleshy macroalgae from the plots to mimic the effects of a severe cyclone. We quantified the abundance of benthic organisms (e.g., corals, macroalgae, etc.) for four years to assess how experimental treatments affected community development. To evaluate the effectiveness of our cages at excluding fishes, we conducted visual surveys of our experimental plots. We conducted a five minute in situ survey on each exclosure for each time point between 2018 and 2022. Each survey recorded the size and species of all fishes that were present or entered the cage during the survey. We converted the counts of fishes to biomass using length-weight relationships as used by the Moorea Coral Reef LTER time series data (Moorea Coral Reef LTER, 2026).\n\ncdm_data_type = Other\nVARIABLES:\nsample_date (unitless)\nyear (unitless)\nmonth (unitless)\nmonthday (unitless)\nblockplot (units)\nherb_trt (unitless)\nnutrient_trt (unitless)\ndisturbance_trt (unitless)\nfish_family (unitless)\nfish_genus (unitless)\nfish_species (unitless)\nfish_count (unitless)\nfish_totallength (centimeters (cm))\nfish_totalbiomass (g)\n BCO-DMO bcodmo_dataset_1000896_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_916418_v2 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_916418_v2.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_916418_v2/ public [Fish collection locations] - Collection locations, dates, and weight and length measurements of individuals of three fish species from the Matagorda Bay region of Texas in the northwestern Gulf of Mexico from 2021 to 2023 (Collaborative Research: Shifting the Hypoxia Paradigm – New Directions to Explore the Spread and Impacts of Ocean/Great Lakes Deoxygenation) This dataset describes the collection locations of individuals of three fish species (Red Drum Sciaenops ocellatus, Southern Flounder Paralichthys lethostigma, and Atlantic Croaker Micropogonias undulatus) in the Matagorda Bay region of Texas in the northwestern Gulf of Mexico. Fish carcasses were obtained from anglers at boat docks, fish cleaning stations, or other locations in the region. Fish were also obtained from bait shops where the proprietors verified the fish were sourced from the Matagorda Bay study region. These fish will be dissected to subsample muscle tissue, eye lenses, and otoliths for chemical analysis to reconstruct environmental histories (trace element proxies for hypoxia, salinity, and other parameters), mercury concentrations, and stable isotopes to reconstruct food web interactions.\n\ncdm_data_type = Other\nVARIABLES:\nFishID (unitless)\nStation_Name (unitless)\nlatitude (Station_latitude, degrees_north)\nlongitude (Station_longitude, degrees_east)\nDate_Collected (unitless)\nSpecies (unitless)\nWeight_g (grams (g))\nLength_mm (millimeters (mm))\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_916418_v2_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_916418_v2_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_916418_v2/index.htmlTable https://osprey.bco-dmo.org/dataset/916418 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_916418_v2.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_916418_v2&showErrors=false&email= BCO-DMO bcodmo_dataset_916418_v2
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_922228_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_922228_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_922228_v1/ public [Fish Data] - Fish data from fish and seagrass surveys on clusters of artificial reefs at the Abaco Islands, Bahamas in 2022 (Using novel ecosystem-scale experiments to quantify drivers of reef productivity in a heavily impacted coastal ecosystem) Fish data from fish and seagrass surveys on clusters of artificial reefs at the Abaco Islands, Bahamas in May of 2022. Data are presented for site PN, which was constructed in May 2021 at the Bight of Old Robinson, Great Abaco. At the site three clusters of nine reefs were constructed. Each cluster was separated by at least 150 m and were constructed at ~3 m depth.\n\ncdm_data_type = Other\nVARIABLES:\nObserver (unitless)\nDate (unitless)\ntime_local (Time, unitless)\nAssembly_day (unitless)\nCluster (unitless)\ncluster_lat (degrees_north)\nlongitude (Cluster_lon, degrees_east)\nReef (unitless)\nSpecies (unitless)\nCount (unitless)\nTotal_length (centimeters (cm))\nTransient (unitless)\nFloy_tag (unitless)\nFloy_color (unitless)\nFloy_size (unitless)\nFloy_date (unitless)\nFloy_ID (unitless)\nNotes (unitless)\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_922228_v1/index.htmlTable https://www.bco-dmo.org/dataset/922228 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_922228_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_922228_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_922228_v1
log in [Fish eye lens chemistry] - Geochemical concentrations of elements measured in eye lenses of three Gulf of Mexico fish species collected from 2021-2023 (Collaborative Research: Shifting the Hypoxia Paradigm – New Directions to Explore the Spread and Impacts of Ocean/Great Lakes Deoxygenation) This dataset includes geochemical concentrations of elements measured in eye lenses of Atlantic Croaker, Red Drum, and Southern Flounder sampled in Matagorda Bay, Texas, USA.\n\ncdm_data_type = Other\nVARIABLES:\nFishID (unitless)\nSpecies (unitless)\ntime_elapsed (Time, seconds)\nLi7 (parts per million (ppm))\nB11 (parts per million (ppm))\nMg25 (parts per million (ppm))\nS32 (parts per million (ppm))\nS34 (parts per million (ppm))\nCa43 (parts per million (ppm))\nMn55 (parts per million (ppm))\nCu63 (parts per million (ppm))\nZn66 (parts per million (ppm))\nSe78 (parts per million (ppm))\nSr88 (parts per million (ppm))\nHg199 (parts per million (ppm))\nHg202 (parts per million (ppm))\nPb208 (parts per million (ppm))\nlatitude (Station_latitude, degrees_north)\nlongitude (Station_longitude, degrees_east)\nDate_Collected (unitless)\n BCO-DMO bcodmo_dataset_962710_v1
log in [Fish Flight Initiation Distance Data] - Fish Flight Initiation Distance Data During the COVID 19 Lockdown from 2020-2021 (Galapagos diver disturbance project) (RAPID: Illuminating the effects of a COVID-19 elimination of diver disturbance on reef fish behavior, distribution and ecosystem functioning in the Galapagos Marine Reserve) The effect of changing levels of scuba diver disturbance, from a low during the 2020 COVID 19 lockdown to normal levels a year later (2021) was measured to test the hypothesis that fish would be less wary when during the lockdown. The Flight Initiation Distance (FID) data, reported here in meters indicate how close a diver can approach an individual fish before it swims away (flees). 2,151 measurements of FID are reported here for a diverse array of reef fish and shark species at sites in the central Galapagos Islands. These data were collected by Dr.s Robert Lamb and Franz Smith in collaboration with PI Jon Witman.\n\ncdm_data_type = Other\nVARIABLES:\nObservation_ID (unitless)\nSite (unitless)\nDate (unitless)\nSpecies_Name (unitless)\nTotal_Body_Length (centimeters (cm))\nDistance_diver_was_from_start_point (meters (m))\nDistance_to_fish_at_start_of_flight (meters (m))\nFlight_Initiation_Distance (meters (m))\n BCO-DMO bcodmo_dataset_913602_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_983803_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_983803_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_983803_v1/ public [Florida and Caribbean Mangrove Geochemistry 2022-2024] - Sulfur, carbon, and iron biogeochemistry of biomass, below ground material, and dissolved organic matter from three mangrove ecosystems in the Caribbean and Florida collected over two field seasons in 2022 and 2024 (Carbon Storage in Mangrove Ecosystems via Abiotic Sulfurization) Here we provide data on the sulfur, carbon, and iron biogeochemistry of biomass, below ground material, and dissolved organic matter from three mangrove ecosystems in the Caribbean and Florida collected over two field seasons in 2022 and 2024. We provide elemental concentrations (organic C/N/S, Fe, pyrite) and isotopic compositions (δ13C, δ34S) of biomass, below ground material, and dissolved organic matter. Data will be useful for those interested in assessing organic matter sulfurization and pyrite formation in blue carbon ecosystems such as mangroves. Data will also be informative for researchers investigating organic and inorganic sulfur cycling. Samples were collected by Lena Capece and Morgan Raven, data were interpreted by Lena Capece and Morgan Raven.\n\ncdm_data_type = Other\nVARIABLES:\nsite (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\nyear (unitless)\nmonth (unitless)\nhabitat (unitless)\ntype (unitless)\ndepth_bsf (Depth, m)\nOC (percent)\nOC_e (percent)\nSC (percent)\nSC_e (percent)\nCN (unitless)\nCN_e (unitless)\nd13C (per mille)\nd13C_e (per mille)\nd34S (per mille)\nd34S_e (per mille)\npyrite_gc (percent)\npyrite_e (percent)\n... (17 more variables)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_983803_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_983803_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_983803_v1/index.htmlTable https://osprey.bco-dmo.org/dataset/983803 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_983803_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_983803_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_983803_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_905393_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_905393_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_905393_v1/ public [Florida Bay DIN, DOC, and Chl-a 2017-2018] -  (RAPID: Hurricane Irma Impacts on Nitrogen Cycling in Florida Bay) These data are tabular results of investigations focused on temporal changes in dissolved inorganic nitrogen (DIN) over a 15-month period starting in October 2017, following the passage of Hurricane Irma over the Middle Keys, Florida, United States. Post-Irma time-series measurements focused on determination of the impacts of episodic storm events on temporal variability in DIN. \n\nThree areas in Florida Bay north of the Middle Keys were chosen for sampling based on previous work conducted between 2012 and 2015 by colleagues at the University of North Carolina (UNC) and FWC-M. Together, the study sites are representative of the range of nearshore environments along the southern portion of Florida Bay. Monthly whole water samples were filtered for chlorophyll-a (Chl-a) measurements, then analyzed for nitrate/nitrite (NOx-) and ammonium (NH4+). Drastic, systematic changes in all water quality parameters initially occurred, including spiked DIN concentrations following release of NH4+-enriched pore-waters during sediment resuspension and rapid declines in DIN during phytoplankton blooms. However, four months post-Irma, concentrations returned to seasonally variable pre-Irma levels observed in previous multi-year surveys.\n\ncdm_data_type = Other\nVARIABLES:\nDate (unitless)\nStation (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\nNOx_avg (micromolar (uM))\nNOx_sd (micromolar (uM))\nNH4_avg (micromolar (uM))\nNH4_sd (micromolar (uM))\nDIN_avg (micromolar (uM))\nDIN_sd (micromolar (uM))\nDOC_avg (micromolar (uM))\nDOC_sd (micromolar (uM))\nTN_avg (micromolar (uM))\nTN_sd (micromolar (uM))\nChla_avg (micrograms per liter (ug/L))\nChla_sd (micrograms per liter (ug/L))\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_905393_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_905393_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_905393_v1/index.htmlTable https://www.bco-dmo.org/dataset/905393 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_905393_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_905393_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_905393_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_965718_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_965718_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_965718_v1/ public [Florida Keys benthic oxygen flux] - Benthic oxygen fluxes and associated environmental data collected in the Florida Keys from 2016 to 2018 (Collaborative Research: Robust optode-based eddy correlation systems for oxygen flux measurements in aquatic environments) A new triple-sensor aquatic eddy covariance instrument was deployed at ~10 meters water depth in the Florida Keys, USA to quantify seasonal oxygen fluxes over a coral sand platform. The non-invasive measurements revealed the influences of light and bottom currents on magnitude and dynamics of the benthic metabolism.\n\ncdm_data_type = Other\nVARIABLES:\nDate (unitless)\ntime_unitless (Time, unitless)\nISO_DateTime_Local (unitless)\nlatitude (Site_latitude, degrees_north)\nlongitude (Site_longitude, degrees_east)\ndepth (Site_depth, m)\nO2_Flux (millimoles per square meter per day (mmol m-2 d-1))\nO2_Flux_SD (millimoles per square meter per day (mmol m-2 d-1))\nPAR (micromoles photons per square meter per second (umol photons m-2 s-1))\nCurrent_velocity (meters per second (m s-1))\nSignificant_wave_height (meters (m))\nT_Ref_1 (degrees Celsius)\nT_Ref_2 (degrees Celsius)\nO2_Ref_1 (micromoles per liter (umol l-1))\nO2_Ref_2 (micromoles per liter (umol l-1))\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_965718_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_965718_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_965718_v1/index.htmlTable https://osprey.bco-dmo.org/dataset/965718 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_965718_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_965718_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_965718_v1
log in [Flow cytometry data from Incurrent and Excurrent flow] - Flow cytometry data from Incurrent and Excurrent flow samples collected from shallow artificial reef sponges and seawater in the Florida Keys, USA from Apr 2021 to Aug 2021 (Collaborative Research: Investigations into microbially mediated ecological diversification in sponges) Sponges are a dominant component of coral reefs worldwide and in the Caribbean, where their biomass exceeds reef-building corals. For almost a quarter century, the success of sponges in the Caribbean has been linked to their filter-feeding ability. However, recent work demonstrated that coexisting sponges on Caribbean reefs host unique communities of bacteria that might allow sponges to access multiple pools of nutrients unavailable to other organisms. In this project, the investigators will test the hypothesis that ecologically dominant sponge species in the Caribbean have unique metabolic strategies mediated by their associations with microbes living within the sponge body. In this dataset, we present flow cytometry data for an artificial reef experiment where sponges of 10 species were placed on this temporary reef from April to August 2021 and sampled using a VacuSIP. VacuSIP methods capture incurrent (In) and excurrent (Ex) water from each sponge specimen. Incurrent represents the microbes available for the sponge to consume via filter feeding, and excurrent represents the microbes that remain once sponges have consumed their preferred taxa. Flow cytometry data was generated with the help of Bigelow Laboratory for Ocean Sciences. Samples were analyzed for the presence of photosynthetic microbes (Synechococcus, Prochlorococcus, photosynthetic eukaryotes) and heterotrophic bacteria (high nucleic acid and low nucleic acid). The present data represents raw data provided by the Bigelow Laboratory for Ocean Sciences, as well as the collection metadata, water sample type, and sponge species information.\n\ncdm_data_type = Other\nVARIABLES:\nCollection_Date (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\nSample_ID (unitless)\nSpecies (unitless)\nSpecies_Abbreviation (unitless)\nIn_or_Ex (unitless)\nReplicate (unitless)\nCollection_day (unitless)\nTotPhyto_Conc (mL-1)\nSyn_Conc (mL-1)\n... (7 more variables)\n BCO-DMO bcodmo_dataset_969846_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_994735_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_994735_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_994735_v1/ public [flow cytometry] - Flow cytometric analysis of interaction between Alteromonas macleodii exudates and Prochlorococcus MIT9312 cells (Collaborative Research: Extracellular vesicles as vehicles for microbial interactions in marine Black Queen communities) The cyanobacterium Prochlorococcus has a conspicuously reduced genome causing it to require help from co-existing organisms for survival under a variety of stressful conditions. In this work we used conditioned media experiments to demonstrate that exudates of the heterotrophic bacterium Alteromonas macleodii EZ55 facilitated the survival of Prochlorococcus MIT9312 batch co-cultures as they entered stationary phase. Microscopy revealed the presence of extracellular membrane vesicles and protein complexes in the exudates. When the exudates were stained with an amine-reactive dye, we were able to observe them interacting directly with Prochlorococcus cells by flow cytometry, where stained exudates (but not dye alone) added both green fluorescence and size (forward scatter) to Prochlorococcus cells.\n\ncdm_data_type = Other\nVARIABLES:\nFile (unitless)\nTreatment (unitless)\nAnalyzed_Events (unitless)\nFixed (unitless)\nStained (unitless)\nDilution (unitless)\nPrefiltration (unitless)\nFSC_Mean (arbitrary fluorescence units (AFU))\nGreen_Mean (arbitrary fluorescence units (AFU))\nRed_Mean (arbitrary fluorescence units (AFU))\nFSC_Median (arbitrary fluorescence units (AFU))\nGreen_Median (arbitrary fluorescence units (AFU))\nRed_Median (arbitrary fluorescence units (AFU))\nFSC_CV (arbitrary fluorescence units (AFU))\nGreen_CV (arbitrary fluorescence units (AFU))\nRed_CV (arbitrary fluorescence units (AFU))\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_994735_v1/index.htmlTable https://osprey.bco-dmo.org/dataset/994735 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_994735_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_994735_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_994735_v1
log in [Flow Cytometry] - Flow cytometry data from samples collected from Orcas Island, WA, USA Coastal Ocean (2m depth) every four hours from 2021-05-28 to 2021-06-18 (Collaborative Research: Rhythm and Blooms: Deciphering metabolic, functional and taxonomic interactions over the life cycle of a phytoplankton bloom) This dataset contains Flow cytometry on samples collected from Orcas Island, WA, USA Coastal Ocean (2m depth) every four hours from 5/28/21 to 6/18/21 collected as part of the following study.\n\n\nStudy abstract\n\n\nFloating, single-celled algae, or phytoplankton, form the base of marine food webs. When phytoplankton have sufficient nutrients to grow quickly and generate dense populations, known as blooms, they influence productivity of the entire food web, including rich coastal fisheries. The present research explores how the environment (nutrients) as well as physical and chemical interactions between individual cells in a phytoplankton community and their associated bacteria act to control the timing of bloom events in a dynamic coastal ecosystem. The work reveals key biomolecules within the base of the food web that can inform food web functioning (including fisheries) and be used in global computational models that forecast the impacts of phytoplankton activities on global carbon cycling. A unique set of samples and data collected in 2021 and 2022 that captured phytoplankton and bacterial communities before, during, and after phytoplankton blooms, is analyzed using genomic methods and the results are used to interrogate these communities for biomolecules associated with blooms stages. The team mentors undergraduates, graduate students, and postdoctoral researchers in the fields of biochemical oceanography, genome sciences, and time-series multivariate statistics. University of Washington organized hackathons to develop publicly accessible portals for the simplified interrogation and visualization of omics data, accessible to high schoolers and undergraduates. These portals are implemented in investigator-led undergraduate teaching modules in the University of Rhode Island Ocean Classroom. The research team also returns to Orcas Island, WA, where the field sampling takes place, to host a series of annual Science Weekends to foster scientific engagement with the local community.\nPhytoplankton blooms, from initiation to decline, play vital roles in biogeochemical cycling by fueling primary production, influencing nutrient availability, impacting carbon sequestration in aquatic ecosystems, and supporting secondary production. In addition to influences from environmental conditions, the physical and chemical interactions among planktonic microbes can significantly modulate blooms, influencing the growth, maintenance, and senescence of phytoplankton. Recent work in steady-state open ocean ecosystems has shown that important chemicals are transferred amongst plankton on time-dependent metabolic schedules that are related to diel cycles. It is unknown how these metabolic schedules operate in dynamic coastal environments that experience perturbations, such as phytoplankton blooms. Here, the investigators are examining metabolic scheduling using long-term, diel sample sets to reveal how chemical and biological signals associated with the initiation, maintenance, and cessation of phytoplankton blooms are modulated on both short (hours) and long (days-weeks) time scales. Findings are advancing the ability to predict and manage phytoplankton dynamics, providing crucial insights into ecological stability and future oceanographic sampling strategies. Additionally, outcomes of this study are providing a new foundational understanding of the succession of microbial communities and their chemical interactions across a range of timescales. In the long term, this research has the potential to identify predictors of the timing of phytoplankton blooms, optimize fisheries management, and guide future research on carbon sequestration.\n\ncdm_data_type = Other\nVARIABLES:\nDay (days)\n... (25 more variables)\n BCO-DMO bcodmo_dataset_984014_v1
log in [Flume experiment  water chemistry July 2023] - Water chemistry and temperature measured within and above dense aggregation of mussels from a flume experiment conducted July 2023 (Collaborative Research: Microscale interactions of foundation species with their fluid environment: biological feedbacks alter ecological interactions of mussels) The project investigates how the metabolic activity of dense aggregations of marine organisms alter the water chemistry of their interstitial spaces, and how these microscale alterations feedback to affect the organisms' interactions in coastal ecosystems. The research evaluates whether corrosive chemical microclimates (such as low oxygen or low pH) are most extreme in low flow, high temperature conditions, especially for dense aggregations of mussels with large biomass and/or high respiration rates, and if they negatively impact mussel beds and the diverse biological communities they support. In order to address these questions, a flume experiment was conducted at Friday Harbor Laboratories where flow and chemical gradients were measured within and above a dense aggregation of mussels (Mytilus trossolus). Twenty profiles were taken over five days with 5 profiles taken for each of the four experimental flume speeds (0.25, 0.5, 1, and 1.5 inch/sec). Approximately 3-minute-long measurements were taken of velocity, dissolved oxygen, temperature, and pH every centimeter within the bed and two measurements were taken above the bed. Ambient conditions (dissolved oxygen, temperature, pH and conductivity) were also measured continuously using an array of HOBO loggers.\n\ncdm_data_type = Other\nVARIABLES:\nTrial (unitless)\nDay_of_week (unitless)\nFlow_speed (centimeters per second (cm/s))\nElevation (centimeters (cm))\nPyro_Date_UTC (unitless)\nPyro_Dissolved_Oxygen (percent air saturation)\nPyro_Temp (degrees Celsius (°C))\nPyro_pH (dimensionless)\nPyro_Adj_DO (milligrams per liter (mg/L))\nHOBO_Date_UTC (unitless)\nHOBO_Temp_pH_sensor (dimensionless)\nHOBO_pH_Millivolts (millivolts (mV))\nHOBO_pH (dimensionless)\nHOBO_DO_conc (milligrams per liter (mg/L))\n... (9 more variables)\n BCO-DMO bcodmo_dataset_982681_v1
log in [Flume experiment Vectrino velocity and turbulence] - Velocity and turbulence measurements around a dense aggregation of mussels from a flume experiment conducted July 2023 (Collaborative Research: Microscale interactions of foundation species with their fluid environment: biological feedbacks alter ecological interactions of mussels) The project investigates how the metabolic activity of dense aggregations of marine organisms alter the water chemistry of their interstitial spaces, and how these microscale alterations feedback to affect the organisms' interactions in coastal ecosystems. The research evaluates whether corrosive chemical microclimates (such as low oxygen or low pH) are most extreme in low flow, high temperature conditions, especially for dense aggregations of mussels with large biomass and/or high respiration rates, and if they negatively impact mussel beds and the diverse biological communities they support. In order to address these questions, a flume experiment was conducted at Friday Harbor Laboratories where flow and chemical gradients were measured within and above a dense aggregation of mussels (Mytilus trossolus). Twenty profiles were taken over 5 days with 5 profiles taken for each of the four experimental flume speeds (0.25, 0.5, 1, and 1.5 inch/sec). Approximately 3-minute-long measurements were taken of velocity, dissolved oxygen, temperature, and pH every centimeter within the bed and two measurements were taken above the bed. Ambient conditions (dissolved oxygen, temperature, pH and conductivity) were also measured continuously using an array of HOBO loggers.\n\ncdm_data_type = Other\nVARIABLES:\nTrial (unitless)\nDay (unitless)\nDate (unitless)\nflume_speed (unitless)\nflume_speed_inch_per_sec (inches per second (in/s))\nflume_speed_cm_per_sec (centimeters per second (cm/s))\nV1 (centimeters (cm))\nV2 (centimeters per second (cm/s))\nV3 (centimeters per second (cm/s))\nV4 (centimeters per second (cm/s))\nV5 (centimeters squared per second squared (cm^2/s^2))\nV6 (centimeters squared per second squared (cm^2/s^2))\nV7 (centimeters squared per second squared (cm^2/s^2))\nV8 (centimeters squared per second squared (cm^2/s^2))\n... (8 more variables)\n BCO-DMO bcodmo_dataset_982717_v1
log in [Foram EBSD datafiles] - Crystal orientation in subantarctic planktic foraminifera shells from EBSD analysis from collections in the sub-Antarctic south of South Africa between 1993 and 2016 (OCE-PRF: A submicron scale investigation of foraminifera-bound organic matter: implications for preservation and the paleo-δ15N proxy) Here we present crystal orientation maps from the shells of planktic foraminifera, calcifying marine protists (G. inflata and G. truncatulinoides), from the Subantarctic ocean (net-tows) and underlying surface sediments (core-tops). The goal was to investigate post-mortem alteration of shells that might affect paleo-proxy interpretation (i.e., diagenesis). Living specimens were collected by S. Smart on VOY016 (Jul–Aug 2015) and VOY019 (Apr–May 2016) of the R/V S.A. Agulhas II in the Subantarctic south of South Africa (Smart et al., 2020). The core-top sample (PS2489-4; from 42.883 °S, 8.968 °E, water depth 3795 m) was collected on ANT-XI/2 of the R/V Polarstern in December 1993 (Gersonde et al., 2003), and access was provided by the Alfred Wegener Institute (AWI) and Max Planck Institute for Chemistry (MPIC), Germany. Shells were mounted in epoxy, cross-sectioned and thinly gold-coated for Scanning Electron Microscopy-Electron Backscatter Diffraction (SEM-EBSD) analysis by S. Smart at the Central Analytical Facility of The University of Alabama, USA, between 2021 and 2024. A. Pérez-Huerta provided EBSD training and mentoring, J. Goodwin and R. Holler provided technical support, and H. Stowell and S.E. Fawcett assisted with interpretation.\n\ncdm_data_type = Other\nVARIABLES:\nFolder_name (unitless)\nFile_name (unitless)\nSite (unitless)\ncruise_id (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\ntime (Datetime_start_gmt, seconds since 1970-01-01T00:00:00Z)\nDateTime_End_GMT (seconds since 1970-01-01T00:00:00Z)\ndepth (m)\nSpecies (unitless)\nSpecimen (unitless)\nType (unitless)\nChamber (unitless)\nPhase (unitless)\n... (14 more variables)\n BCO-DMO bcodmo_dataset_964206_v1
log in [Foraminiferal oxygen and carbon isotopes MAZ-1E-04] - Multispecies foraminiferal oxygen and carbon isotopes in the eastern Pacific through the last deglaciation determined from core MAZ-1E-04 collected on cruise MAZ-I aboard the R/V El Puma in April 2015 (Glacial-Interglacial Changes in Oxygen Minimum Zones Using Deep-Dwelling, Low-Oxygen Planktic Foraminifera) The structure and drivers of oxygen minimum zone (OMZ) evolution in the Eastern Tropical North Pacific (ETNP) are investigated from ~20.7-10 ka using a multi-proxy from core MAZ-1E-04 (22°54.29'N, 106°54.59'W; 1463 m depth). Understanding how OMZ vertical structure changed during past glacial/interglacial cycles will help elucidate the drivers and patterns of OMZ expansion/contraction on longer timescales. \n\nHere, multispecies foraminiferal oxygen and carbon isotopes determined from core MAZ-1E-04 collected on cruise MAZ-I aboard the R/V El Puma in April 2015 are used to reconstruct OMZ vertical extent through the last deglaciation. Universidad Nacional Autónoma de México financed ship time and M. Alejandro Rodríguez Ramírez directed the oceanographic campaign to retrieve the core.\n\ncdm_data_type = Other\nVARIABLES:\nDepth_core (centimeter (cm))\nAge (years before present (ybp))\nN_dutertrei_count (unitless)\nN_dutertrei_weight (micrograms)\nN_dutertrei_d18O (per mil)\nN_dutertrei_d13C (per mil)\nUvigerina_spp_count (unitless)\nUvigerina_spp_weight (micrograms)\nUvigerina_spp_d18O (per mil)\nUvigerina_spp_d13C (per mil)\nG_ruber_count (unitless)\nG_ruber_weight (micrograms)\nG_ruber_d18O (per mil)\nG_ruber_d13C (per mil)\nG_hexagonus_count (unitless)\nG_hexagonus_weight (micrograms)\nG_hexagonus_d18O (per mil)\nG_hexagonus_d13C (per mil)\n BCO-DMO bcodmo_dataset_991484_v1
log in [Foraminiferal radiocarbon- MAZ-1E-04] - Radiocarbon measurements from planktic and benthic foraminifera in the eastern Pacific during the last deglaciation determined from core MAZ-1E-04 collected on cruise MAZ-I aboard the R/V El Puma in April 2015 (Glacial-Interglacial Changes in Oxygen Minimum Zones Using Deep-Dwelling, Low-Oxygen Planktic Foraminifera) The structure and drivers of oxygen minimum zone (OMZ) evolution in the Eastern Tropical North Pacific (ETNP) are investigated from ~20.7-10 ka using a multi-proxy from core MAZ-1E-04 (22°54.29'N, 106°54.59'W; 1463 m depth). Understanding how OMZ vertical structure changed during past glacial/interglacial cycles will help elucidate the drivers and patterns of OMZ expansion/contraction on longer timescales. \n\nHere, radiocarbon measurements from planktic and benthic foraminifera from core MAZ-1E-04 collected on cruise MAZ-I aboard the R/V El Puma in April 2015 are used to construct an age model and calculate ventilation ages. Universidad Nacional Autónoma de México financed ship time and M. Alejandro Rodríguez Ramírez directed the oceanographic campaign to retrieve the core.\n\ncdm_data_type = Other\nVARIABLES:\nPlanktic_Core_Depth (centimeter (cm))\nPlanktic_species (unitless)\nPlanktic_weight (milligrams (mg))\nRaw_planktic_14C (14C yr BP)\nPlanktic_14C_error_1_SD (14C yr BP)\nBenthic_Core_Depth (centimeters (cm))\nBenthic_species (unitless)\nBenthic_weight (milligrams (mg))\nRaw_Benthic_14C_Uvigerina_spp (14C yr BP)\nBenthic_14C_error_1_SD (14C yr BP)\nVentilation_Age_B_Atm_14C (years)\nMarine_Reservoir_Age (years)\nMRA_corrected_planktic_14C (years)\nIntcal20_corrected_planktic_14C (years before present (yr BP))\nd14C (per mil)\nRemoved_from_analyses_flag (unitless)\n BCO-DMO bcodmo_dataset_991470_v1
log in [FoSI-characteristics-LODP-HODP-DESAFÍO] - Particle characteristics for low and high optical-density particles (LODP and HODP) from Focused Shadowgraph Imaging (FoSI) in the NE Atlantic, Jan-Mar 2023 (DESAFÍO) (Linking optical characteristics of small particles (50 - 500 micrometer) with their sinking velocities in the mesopelagic environment) This dataset comprises particle morphological measurements (for particles 200-1000 micrometer) collected during the DESAFÍO expedition (31 January–2 March 2023) in the northeastern subtropical Atlantic Ocean, spanning 22 CTD casts across the Azores, the Canary Islands, and the intervening open ocean. Particles imaged in situ were classified into two optical density–based pools, a low-optical-density particle (LODP) pool representing gel-like and other translucent particles, and a high-optical-density particle (HODP) pool representing more opaque particles, with morphological attributes including equivalent spherical diameter (ESD), optical density, aspect ratio and circularity recorded for each. Measurements were compiled across three geographic regions (CI, OO and AZ) and three depth strata (epipelagic, mesopelagic, and bathypelagic), allowing characterization of particle shape and composition across spatial and depth gradients in the study region (see listed Results Publications).\n\ncdm_data_type = Other\nVARIABLES:\nparticlePool (unitless)\ndepth_zone (unitless)\nregions (unitless)\nESD (micrometers)\naspect_ratio (unitless)\nOD (unitless)\ncircularity (unitless)\n BCO-DMO bcodmo_dataset_1003429_v1
log in [FoSI-particle-profiles] - Low and high density-pooled particle (LODP/HODP) abundance, volume, and hydrographic data from Focused Shadow Imaging (FoSI) profiles aboard the R/V Sarmiento de Gamboa in the NE Atlantic, Jan–Mar 2023 (DESAFÍO) (Linking optical characteristics of small particles (50 - 500 micrometer) with their sinking velocities in the mesopelagic environment) This dataset provides depth-resolved particle and hydrographic profiles from the DESAFÍO expedition (PID2020-118118RB-100), collected in the northeastern subtropical Atlantic between the Azores and Canary Islands (31 Jan–2 Mar 2023). Particle abundance and total particle volume, derived from a Focused Shadow Imaging System (FoSI) mounted on a CTD/rosette, were resolved to 1-m depth bins and paired with co-located CTD profiles of temperature, salinity, dissolved oxygen, fluorescence, and turbidity (1 dbar bins) spanning the surface to 4,000 m. Particles were classified into low- and high-optical-density particles (LODP, HODP) to derive the Relative Gel Fraction (RGF) at each depth. Profiles span 22 casts across three geographic regions (Canary Islands, an open-ocean station, and the Azores) and were analyzed using Theil–Sen/Mann-Kendall trend tests and Aligned Rank Transform ANOVA to assess regional and depth-related variability in particle characteristics relative to the hydrographic context.\n\ncdm_data_type = Other\nVARIABLES:\ndepth (m)\nPart_No (particles per liter (#/L))\nTotalParticleArea (pix/frame)\nTotalParticleVolume (parts per million (ppm))\nDate (unitless)\nConductivity (Siemens per meter (S/m))\nDensity (kilograms per cubic meter (kg/m^3))\nFluorescence (milligrams per cubic meter (mg/m^3))\nOxygen (milliliters per liter (mL/L))\nPotentialTemperature (degrees Celsius)\nSalinityPractical (practical salinity units (PSU))\nTurbidity (nephelometric turbidity units (NTU))\nPAR (micromoles of photons per square meter per second (umol photons/m^2/sec))\nlatitude (degrees_north)\nlongitude (degrees_east)\nParticlePool (unitless)\n BCO-DMO bcodmo_dataset_1003447_v1
log in [FoSI-spectra-DESAFIO] - Particle number spectra of low and high-optical-density particles (LODP and HODP) from Focused Shadowgraph Imaging (FoSI) in the NE Atlantic, Jan-Mar 2023 (DESAFÍO) (Linking optical characteristics of small particles (50 - 500 micrometer) with their sinking velocities in the mesopelagic environment) This dataset presents particle number spectra from the DESAFÍO expedition (PID2020-118118RB-100), collected in the northeastern subtropical Atlantic between the Azores and Canary Islands (31 Jan–2 Mar 2023). Particle images were acquired with a Focused Shadowgraph Imaging (FoSI) System (11.75 μm/pixel) mounted on a CTD/rosette across 22 casts, spanning three regions and three depth strata (epipelagic, mesopelagic, bathypelagic). Particles ≥23.5 μm were classified by optical density into low-OD (gel proxy) and high-OD pools, sorted into size classes, and normalized to compute particle number spectra. Spectral slopes were compared across regions and depths using ANCOVA to assess spatial variability in particle size distributions (see listed Results Publications).\n\ncdm_data_type = Other\nVARIABLES:\nparticlePool (unitless)\ndepth_zone (unitless)\nlog10_size_bin (log10(cm))\nlog10_spectrum (log10(cm^-4))\n BCO-DMO bcodmo_dataset_1003458_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_957950_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_957950_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_957950_v1/ public [Fourier transform infrared spectroscopy data] - Photodegradation of macroplastics in the marine environment: fourier transform infrared spectroscopy (EAGER: Collaborative Research: NSF2026:  Is Plastic Degradation Occurring in the Deep Ocean Water Column?) The photodegradation of macroplastics in the marine environment remains poorly understood. Here, we investigated the weathering of commercially available plastics (tabs 1.3 × 4.4 × 0.16 cm), including high-density polyethylene, low-density polyethylene, polypropylene, polystyrene, and polycarbonate, in seawater under laboratory-simulated ultraviolet A radiation for 3–9 months, equivalent to 25–75 years of natural sunlight exposure without considering other confounding factors. After the exposure, the physical integrity and thermal stability of the tabs remained relatively intact, suggesting that the bulk polymer chains were not severely altered despite strong irradiation, likely due to their low specific surface area. In contrast, the surface layer (∼1 μm) of the tabs was highly oxidized and eroded after 9 months of accelerated weathering. Several antioxidant additives were identified in the plastics through low temperature pyrolysis coupled with gas chromatography/mass spectrometry (Pyr-GC/MS) analysis. The Pyr-GC/MS results also revealed many new oxygen-containing compounds formed during photodegradation, and these compounds indicated the dominance of chain scission reactions during weathering. These findings highlight the strong resistance of industrial macroplastics to weathering, emphasizing the need for a broader range of plastics with varying properties and sizes to accurately estimate plastic degradation in the marine environment.\n\ncdm_data_type = Other\nVARIABLES:\nPolymer_name (unitless)\nPolymer_acronym (unitless)\nIncubation_time (unitless)\nUnit_of_incubation_time (unitless)\nReplicate (unitless)\nvinyl_index (unitless)\nketone_index (unitless)\nether_index (unitless)\nalcohol_index (unitless)\nOxidation_index (unitless)\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_957950_v1/index.htmlTable https://osprey.bco-dmo.org/dataset/957950 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_957950_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_957950_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_957950_v1
log in [Friday Harbor Labs - Weather Station Data] - Weather Station data from University of Washington Friday Harbor Laboratories, Friday Harbor WA, Cantilever Point from 2006 to 2024 (The effects of temperature on ecological processes in a rocky intertidal community: a mechanistic approach ) This dataset includes parameters measured by a weather station at the University of Washington Friday Harbor Laboratories, Friday Harbor WA, Cantilever Point from 2006 to 2024.\n\ncdm_data_type = Other\nVARIABLES:\nPlatform_ID (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\nYear (unitless)\ntime (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\nISO_DateTime_PST (unitless)\nDate_PST (unitless)\nTime_PST (unitless)\nAir_Temp (degrees Celsius)\nRH (percent (%))\nRad_PAR (micromoles per square meter per second (?mol m-2 s-1))\nRad_Energy (watts per square meter (W m-2))\nRad_tot (watts per square meter (W m-2))\nRain (millimeters (mm))\nWind_speed (meters per second (m s-1))\nWind_direction (degrees (relative to true N))\nWind_Chill (degrees Celsius)\n BCO-DMO bcodmo_dataset_491262_v4
log in [G. huxleyi CCMP371 alkaline phosphatase activity] - Alkaline phosphatase activity for G. huxleyi CCMP371 grown under low N and low P N:P ratios in laboratory-based culture experiments (Collaborative Research: Defining the role of the pan genome in Emiliania huxleyi ecology and biogeography) Gephyrocapsa huxleyi, a ubiquitous marine coccolithophore, plays a significant role in marine ecosystems and the global carbon cycle. Broadly, this project seeks to define the role of the pan-genome in G. huxleyi ecology and biogeography and provide insight into how this taxon's genotypic variability influences its biogeography and ecology, and ultimately how this genus may adapt to changing environmental conditions in the future ocean. This project leveraged the G. huxleyi pan-genome database to inform a series of additional laboratory-based culture experiments to relate genotype to phenotype in different strains under shifting response drivers, specifically nitrogen (N) and phosphorus (P). Here, we grew G. huxleyi CCMP371, a highly calcifying, axenic strain, under low N and low P conditions by modulating the dissolved inorganic nitrogen (DIN) to dissolved inorganic phosphorus (DIP) ratios. The CCMP371 experiment began as batch cultures until a maximum in vivo chlorophyll fluorescence was reached (based on a previous growth experiment; data contributed to BCO-DMO in this same project). At this point, an equal volume of culture was removed from triplicate flasks and replaced with an equal volume of modified L1/5-ASW, with an N:P of 0.5:1 (0.5 µM N and 1 µM P) for low N conditions. Likewise, an equal volume of culture was removed from triplicate flasks and replaced with an equal volume of L1/5-ASW, with an N:P of 125:1 (25 µM N and 0.2 µM P) for low P conditions. Dilutions continued until steady-state conditions, determined by microscopic cell counts, were reached. Once the low N and low P triplicate cultures reached steady state, samples were collected for a suite of physicochemical parameters, including alkaline phosphatase activity reported in this dataset. Alkaline phosphatase activity (APA) is a common physiological marker of P stress, where increased APA indicates a phenotypic shift toward the use of organic P sources. In this experiment, APA was used to confirm P-deficiency in the low P cultures relative to the low N cultures. These data were used to inform additional nutrient amendment experiments with G. huxleyi strains (reported elsewhere), and they can be used to better constrain existing tools, such as the Global Alkaline Phosphatase Activity Dataset (GAPAD).\n\ncdm_data_type = Other\nVARIABLES:\nG_huxleyi_ID (unitless)\nExperimental_Treatment (unitless)\nReplicate (unitless)\nAPA_nmolP_cell_hour (nmol per cell per hour)\n BCO-DMO bcodmo_dataset_998945_v1
log in [G. huxleyi cell counts] - G. huxleyi cell count data from RCC874 and RCC914 N amendment laboratory-based culture experiment (Collaborative Research: Defining the role of the pan genome in Emiliania huxleyi ecology and biogeography) Environmental factors associated with climate change alter the interactions between bacteria and their algal hosts, known as the phycosphere, with broader implications for marine microbial community ecology. We examined the interactive effects of warming and nitrogen limitation on two strains of Gephyrocapsa huxleyi (RCC874 and RCC914), a widely abundant and physiologically flexible coccolithophore, and their phycospheres in response to N-replete and low N conditions. From daily cell counts derived from flow cytometry, we calculated the maximum exponential growth rate of these strains in culture to assess whether co-stress had a significant impact on growth rate.\n\ncdm_data_type = Other\nVARIABLES:\nDate (unitless)\nWell (unitless)\ntemp_c (degrees Celcius)\nConcCellmL (cells per mL)\nn_conc (moles per liter (M))\nstrain (unitless)\nrep (unitless)\nday_number (day)\n BCO-DMO bcodmo_dataset_998992_v1
log in [G. huxleyi chlorophyll and photosynthetic efficiencies] - In vivo chlorophyll and photosynthetic efficiencies for G. huxleyi RCC874 and RCC914 N amendment laboratory-based culture experiment (Collaborative Research: Defining the role of the pan genome in Emiliania huxleyi ecology and biogeography) Environmental factors associated with climate change alter the interactions between bacteria and their algal hosts, known as the phycosphere, with broader implications for marine microbial community ecology. We examined the interactive effects of warming and nitrogen limitation on two strains of Gephyrocapsa huxleyi (RCC874 and RCC914), a widely abundant and physiologically flexible coccolithophore, and their phycospheres in response to N-replete and low N conditions. We measured in vivo chlorophyll a fluorescence and photosynthetic efficiency (Fv/Fm) to assess the impact of co-stress on G. huxleyi photophysiology.\n\ncdm_data_type = Other\nVARIABLES:\ndate (unitless)\ntemperature_c (degrees Celcius)\nnitrogen (unitless)\nstrain (unitless)\nreplicate (unitless)\nFv_Fm (unitless)\nF0 (unitless)\nFm (units)\nchla_read (relative fluorescence units (RFUs))\ndilution_factor (unitless)\nchla_total (relative fluorescence units (RFUs))\n BCO-DMO bcodmo_dataset_999184_v1
log in [G. huxleyi genome growth data] - Laboratory-based growth studies with multiple G. huxleyi strains for genome sequencing (Collaborative Research: Defining the role of the pan genome in Emiliania huxleyi ecology and biogeography) Gephyrocapsa huxleyi, a ubiquitous marine coccolithophore, plays a significant role in marine ecosystems and the global carbon cycle. Broadly, this project seeks to define the role of the pan-genome in G. huxleyi ecology and biogeography and provide insight into how this taxon's genotypic variability influences its biogeography and ecology, and ultimately how this genus may adapt to changing environmental conditions in the future ocean. To construct a pan-genomic G. huxleyi database, 16 different G. huxleyi strains (CCMP1280, CCMP375, CCMP377, CCMP371, RCC3492, RCC4567, RCC1222, RCC847, RCC1256, RCC914, RCC1215, RCC1239, RCC3963, RCC1212, RCC6856, and RCC6071) obtained from national (NCMA) and international (Roscoff) culture collections were grown in the laboratory in 1 L nutrient-replete L1 media with a natural seawater base. Growth of each strain was monitored daily using in vivo chlorophyll a fluorescence, expressed as relative fluorescence units (RFUs), as a proxy for biomass. Exponential growth rates were also calculated for each strain from the linear portion of the growth curves. At the conclusion of each growth experiment, biomass was collected by filtration for DNA extraction and downstream genome sequencing (reported elsewhere). The growth data generated here supported the extraction of high-quality DNA for a pan-genome database (reported elsewhere) and additional culture experiments to relate genotype to phenotype in G. huxleyi strains under varying environmental conditions, including different nitrogen:phosphorus ratios, low nitrogen, and low phosphorus conditions (reported elsewhere). More broadly, the G. huxleyi growth data provided here can be used to inform primary productivity models to better parameterize inputs such as nutrient uptake, temperature sensitivity, and bloom duration.\n\ncdm_data_type = Other\nVARIABLES:\nDay (day)\nG_huxleyi_strain_ID (unitless)\nG_huxleyi_rel_fluor_units_invivo_chl_a (relative fluorescence units (RFUs))\nBlank_rel_fluor_units_invivo_chl_a (relative fluorescence units (RFUs))\nG_huxleyi_rel_fluor_units_invivo_chla_blank_corrected (relative fluorescence units (RFUs))\n BCO-DMO bcodmo_dataset_998934_v1
log in [G. huxleyi maximum growth rates] - Maximum growth rates for G. huxleyi RCC874 and RCC914 N amendment laboratory-based culture experiment (Collaborative Research: Defining the role of the pan genome in Emiliania huxleyi ecology and biogeography) Environmental factors associated with climate change alter the interactions between bacteria and their algal hosts, known as the phycosphere, with broader implications for marine microbial community ecology. We examined the interactive effects of warming and nitrogen limitation on two strains of Gephyrocapsa huxleyi (RCC874 and RCC914), a widely abundant and physiologically flexible coccolithophore, and their phycospheres in response to N-replete and low N conditions. From daily cell counts derived from flow cytometry, we calculated the maximum exponential growth rate of the two strains in culture to assess whether co-stress had a significant impact on growth rate.\n\ncdm_data_type = Other\nVARIABLES:\nStrain (unitless)\nn_conc (moles per liter (M))\nrep (unitless)\ntemp_c (degrees Celcius)\ny0 (cells per mL)\nmumax (cells per day)\n BCO-DMO bcodmo_dataset_999165_v1
log in [G. huxleyi particulate nutrients] - Particulate nutrients for G. huxleyi RCC874 and RCC914 N amendment laboratory-based culture experiment (Collaborative Research: Defining the role of the pan genome in Emiliania huxleyi ecology and biogeography) Environmental factors associated with climate change alter the interactions between bacteria and their algal hosts, known as the phycosphere, with broader implications for marine microbial community ecology. We examined the interactive effects of warming and nitrogen limitation on two strains of Gephyrocapsa huxleyi (RCC874 and RCC914), a widely abundant and physiologically flexible coccolithophore, and their phycospheres in response to N-replete and low N conditions. We measured the concentrations of particulate carbon, nitrogen, and phosphorus to understand the impact of co-stress on the cellular stoichiometry of G. huxleyi.\n\ncdm_data_type = Other\nVARIABLES:\nSample_date (unitless)\nParameter (unitless)\nResult (various (see result_unit column))\nResult_Unit (unitless)\nMDL_RL (Method Detection Limit/Reporting limit.)\nMethod (unitless)\nMethod_of_preservation (unitless)\nstrain (unitless)\ntemp (degrees Celcius)\nn_conc (unitless)\nrep (unitless)\n BCO-DMO bcodmo_dataset_999174_v1
log in [G. huxleyi reactive oxygen] - Reactive oxygen species for G. huxleyi RCC874 and RCC914 N amendment laboratory-based culture experiment (Collaborative Research: Defining the role of the pan genome in Emiliania huxleyi ecology and biogeography) Environmental factors associated with climate change alter the interactions between bacteria and their algal hosts, known as the phycosphere, with broader implications for marine microbial community ecology. We examined the interactive effects of warming and nitrogen limitation on two strains of Gephyrocapsa huxleyi (RCC874 and RCC914), a widely abundant and physiologically flexible coccolithophore, and its phycosphere under nitrogen-replete and low-nitrogen conditions. Reactive oxygen species (ROS) are a by-product of metabolic processes and are produced in response to environmental stress. We measured the fluorescence of CM-H2DCFDA as an indicator of ROS in G. huxleyi to assess the impact of combined stressors on G. huxleyi physiology.\n\ncdm_data_type = Other\nVARIABLES:\ndate (unitless)\nstrain (unitless)\ntemperature_c (degrees Celcius)\nnitrogen (unitless)\nreplicate (unitless)\nfluorescence (relative fluorescence units (RFUs))\n BCO-DMO bcodmo_dataset_999330_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_987617_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_987617_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_987617_v1/ public [GA13 Dissolved Th/Pa] - Dissolved Th/Pa measurements from CTD Niskin collected depth profiles from a GEOTRACES transect cruise along the Mid-Atlantic Ridge in the North Atlantic (GA13/JC156) (Dissolved Th/Pa from GEOTRACES transect GA13: tracers of hydrothermal scavenging) This dataset contains concentrations of dissolved thorium and protactinium isotopes (Th-232, Th-230, Pa-231) in seawater collected during the GEOTRACES transect cruise GA13 (JC156) in winter 2017-2018. Dissolved thorium and protactinum isotopes (Th-232, Th-230, and Pa-231) were analyzed as core parameters on GEOTRACES cruise transect GA13. This cruise transect focused on known hydrothermal venting sites along the mid-Atlantic ridge of the North Atlantic. The Th/Pa isotopes are excellent tracers of inorganic scavenging (chemical adsorption) onto hydrothermal particualte material and help demonstrate the impact particles can have on scavenging other trace metals of biogeochemical interest. A start-up grant from the University of Southern Missisippi funded the analysis at USM. The cruise was funded by the UK NERC.\n\ncdm_data_type = Other\nVARIABLES:\nStation_ID (unitless)\nEvent_ID (unitless)\nStart_Date_UTC (unitless)\nlatitude (Start_latitude, degrees_north)\nlongitude (Start_longitude, degrees_east)\nRosette_Position (unitless)\nSample_ID (unitless)\ndepth (Sample_depth, m)\nPa_231_D_CONC_BOTTLE_h01akr (micro-Becquerel per kilogram (uBq/kg))\nSD1_Pa_231_D_CONC_BOTTLE_h01akr (micro-Becquerel per kilogram (uBq/kg))\nFlag_Pa_231_D_CONC_BOTTLE_h01akr (unitless)\nTh_230_D_CONC_BOTTLE_iiujzv (micro-Becquerel per kilogram (uBq/kg))\nSD1_Th_230_D_CONC_BOTTLE_iiujzv (micro-Becquerel per kilogram (uBq/kg))\nFlag_Th_230_D_CONC_BOTTLE_iiujzv (unitless)\nTh_232_D_CONC_BOTTLE_xpr9pd (picomole per kilogram (pmol/kg))\nSD1_Th_232_D_CONC_BOTTLE_xpr9pd (picomole per kilogram (pmol/kg))\nFlag_Th_232_D_CONC_BOTTLE_xpr9pd (unitless)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_987617_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_987617_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_987617_v1/index.htmlTable https://osprey.bco-dmo.org/dataset/987617 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_987617_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_987617_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_987617_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_998307_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_998307_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_998307_v1/ public [Galapagos Ocean Temperatures] - In-situ temperature measurements across depths in the Galapagos Islands 2024-2025 (RAPID: Effects of the 2023-24 El Nino on Fish Disease and Population Dynamics in the Galapagos Islands) This dataset provides temperatures from the Galapagos Islands along with their respective depths of measurement and locations. These temperatures were taken in-situ by a diver on a Shearwater dive computer. All temperatures were collected between January 2024 and August 2025.\n\ncdm_data_type = Other\nVARIABLES:\nISO_DateTime_Local (unitless)\ntime (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\nSeason (unitless)\nSite (unitless)\nEasting (Meters)\nlongitude (Longitude_dd, degrees_east)\nLongitude_DMS (degrees, minutes, seconds)\nNorthing (Meters)\nlatitude (Latitude_dd, degrees_north)\nLatitude_DMS (degrees, minutes, seconds)\nTransect (unitless)\nObserver (unitless)\ndepth (m)\nTemperature (degrees Celsius)\nDepth_strata_i (unitless)\nDepth_strata_ii (unitless)\nBioregion (unitless)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_998307_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_998307_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_998307_v1/index.htmlTable https://osprey.bco-dmo.org/dataset/998307 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_998307_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_998307_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_998307_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_946438_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_946438_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_946438_v1/ public [Gastropod counts by species collected from inactive sulfides on the East Pacific Rise] - Gastropod counts by species collected from inactive sulfides on the East Pacific Rise during R/V Robert Revelle cruise RR2102 in April 2021 and R/V Atlantis cruise AT50-06 in December 2022 (RUI: Collaborative: The Predictive Nature of Microbial Biofilms for Cuing Larval Settlement at Deep-Sea Hydrothermal Vents) This dataset provides counts by species for gastropods collected mainly from rock grabs at two inactive sulfide mounds (Lucky's Mound and Sentry Spire) near 9°47'N on the East Pacific Rise. Sampling was conducted on dives with HOV Alvin during R/V Atlantis cruise AT50-06 in December 2022 and with ROV Jason during R/V Robert Revelle cruise RR2102 in April 2021. Specimens were preserved in ethanol or fixed in formalin. Gastropods were identified morphologically to species (with genetic sequences obtained for a subset); two of the species were new to science as described by Chen et al. (2024). Counts are not comprehensive thus cannot be used for quantitative analyses. This dataset is provided in a single compiled table formatted as a Darwin Core Occurrence table for provision to the Ocean Biodiversity Information System.\n\ncdm_data_type = Other\nVARIABLES:\noccurrenceID (unitless)\nkingdom (unitless)\nverbatimIdentification (unitless)\nscientificName (unitless)\nscientificNameID (unitless)\ntaxonRank (unitless)\nidentifiedBy (unitless)\nidentificationRemarks (unitless)\nindividualCount (integer count)\nassociatedSequences (unitless)\notherCatalogNumbers (unitless)\noccurrenceStatus (unitless)\nbasisOfRecord (unitless)\nverbatimLabel (unitless)\noccurrenceRemarks (unitless)\neventID (unitless)\ntime (Eventdate, seconds since 1970-01-01T00:00:00Z)\nlocality (unitless)\nlatitude (Decimallatitude, degrees_north)\n... (7 more variables)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_946438_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_946438_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_946438_v1/index.htmlTable https://www.bco-dmo.org/dataset/946438 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_946438_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_946438_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_946438_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_923337_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_923337_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_923337_v1/ public [Gelatinous zooplankton observations] - Gelatinous zooplankton observations during four research cruises (SKQ202204S, MGL2207, SKQ202303S, SR2317) carried out in the Northern California Current from March 2022 to August 2023 (Collaborative Research: Plankton size spectra and trophic links in a dynamic ocean) These data include a list of gelatinous zooplankton species observed during four 14-day research cruises carried out in the Northern California Current from March 2022 to August 2023.  Plankton samples were collected with a coupled MOCNESS system that was towed to 100 m (or 5 m off the bottom in stations with <100 m depth).  Samples were subsequently poured into sorting tray and picked for gelatinous taxa.  This data set represents the first comprehensive list of gelatinous taxa from this region and includes ctenophores, cnidarians and pelagic tunicates, taxa that are largely omitted from studies in the NCC.\n\ncdm_data_type = Other\nVARIABLES:\nDate (unitless)\nBroad_taxon_ID (unitless)\nLowest_taxon_ID (unitless)\nLife_stage (unitless)\nNumber_of_Individuals (unitless)\nLength (millimeter (mm))\nVolume (milliliter(ml))\nTransect (unitless)\nStation (unitless)\nLatitude (degrees_north)\nlongitude (degrees_east)\nMOC (unitless)\nNet (unitless)\nDepth (meter (m))\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_923337_v1/index.htmlTable https://www.bco-dmo.org/dataset/923337 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_923337_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_923337_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_923337_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_942938_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_942938_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_942938_v1/ public [Gene expression of Pocillopora damicornis] - Gene expression of Pocillopora damicornis collected from reef of Heron Island, southern Great Barrier Reef from Jan 2021 to Feb 2021 (Influence of environmental pH variability and thermal sensitivity on the resilience of reef-building corals to acidification stress) Corals residing in habitats that experience frequent seawater pCO2 variability may possess an enhanced capacity to cope with ocean acidification. Yet, we lack a clear understanding of the molecular toolkit enabling acclimatization to environmental extremes, and how life-long exposure to pCO2 variability influences biomineralization. \n\nWe examined the gene expression responses and micro-skeletal characteristics of Pocillopora damicornis originating from the reef flat and reef slope of Heron Island, southern Great Barrier Reef. The reef flat (454 ± 3.0) and reef slope (418 ± 1.9) had similar mean seawater pCO2 (µatm; mean ± SE), but the reef flat experienced twice the mean daily pCO2 amplitude (range of 797v. 399  µatm day-1, respectively). A controlled mesocosm experiment was conducted over eight weeks, from mid-January to late-March 2021, exposing P. damicornis from the reef slope and reef flat to stable (218±9) or variable (911±31) diel pCO2 fluctuations (µatm; mean ± SE). This dataset includes the gene expression data for these samples.\n\ncdm_data_type = Other\nVARIABLES:\ngene_id (unitless)\nRF13B (unitless)\nRF13D (unitless)\nRF14B (unitless)\nRF14C (unitless)\nRF15B (unitless)\nRF15D (unitless)\nRF16A (unitless)\nRF16C (unitless)\nRF17B (unitless)\nRF17D (unitless)\nRF18B (unitless)\nRF18D (unitless)\nRF19B (unitless)\nRF19C (unitless)\n... (34 more variables)\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_942938_v1/index.htmlTable https://www.bco-dmo.org/dataset/942938 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_942938_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_942938_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_942938_v1
log in [Genetic analyses and microsatellite characterization of new zooxanthellae species for Butler et al. (2023)] - Genetic analyses and microsatellite characterization for formal recognition of new species of host-generalist species of dinoflagellate (Cladocopium, Symbiodiniaceae) mutualistic with Indo-Pacific reef corals collected from 2003 through 2015 (Collaborative Research: Stability, flexibility, and functionality of thermally tolerant coral symbioses) These genetic data were used to justify the formal characterization of new species of ‘ecological generalists' zooxanthellae, the dinoflagellate symbionts living in the tissues of numerous marine animals including corals. Reef-building corals are dependent on endosymbiotic dinoflagellates (Family: Symbiodiniaceae) for their survival and growth but there is almost no taxonomy available for coral symbionts thus limiting research on them. These data include the sequences of genes originating from the nuclear genome, the mitochondrial genome as well as from the chloroplast genome. These sequences were analyzed independently and the resulting phylogenies from these analyses used to test for reciprocal monophyly, a way to verify the evolutionary divergence of two populations. Additionally, microsatellites were analyzed to test boundaries to genetic recombination indicated by the phylogenetic data.\n\ncdm_data_type = Other\nVARIABLES:\nSample_ID (unitless)\nSpecies (unitless)\nAphia_ID (unitless)\nSample_Origin (unitless)\nC1_22 (base pairs)\nC1_22_2 (base pairs)\nC1_25 (base pairs)\nC1_25_2 (base pairs)\nC1_24 (base pairs)\nC1_24_2 (base pairs)\nC1_05 (base pairs)\nC1_05_2 (base pairs)\nC1_16 (base pairs)\nC1_16_2 (base pairs)\nZ1_Spl_1 (base pairs)\nZ1_Spl_1_2 (base pairs)\nz78 (base pairs)\nz78_2 (base pairs)\n BCO-DMO bcodmo_dataset_957700_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_986889_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_986889_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_986889_v1/ public [Genetic and morphological characters for haplosclerid sponges of Hawai'i] - Integrative taxonomy of introduced Haplosclerida and three new species of Haliclona sponges from Hawai'i based on samples collected from a variety of habitats on O'ahu from 2016 to 2022 (Testing the most striking tropical marine biodiversity gradient on the planet: does it hold for sponges?) This data supports the description of the following haplosclerida species in Hawai'i: Haliclona (Soestella) caerulea and Gelliodes conulosa sp. nov.,  Haliclona (Gellius) pahua sp. nov., Haliclona (Reniera) kahoe sp. nov., Haliclona (Rhizoniera) loe sp. nov. Accession numbers to mitochondrial and ribosomal RNA sequences are provided. Morphological data for each of the species are also provided.\n\ncdm_data_type = Other\nVARIABLES:\nSpecies (unitless)\nType (unitless)\nFMNH (unitless)\nBPBM_cat_no (unitless)\nField_code (unitless)\nCOI_Genbank_acc_No (unitless)\nGenbank_acc_No_28S (unitless)\nDate (unitless)\nlatitude (degrees_north)\nlongitude (Long, degrees_east)\nOxeas_Length_um (micrometers)\nOxeas_Width_um (mircrometers)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_986889_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_986889_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_986889_v1/index.htmlTable https://osprey.bco-dmo.org/dataset/986889 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_986889_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_986889_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_986889_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_1002509_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_1002509_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_1002509_v1/ public [Geochemical data from methane seeps in the Cascadia Margin] - Porewater geochemical data from methane seeps in the Astoria Canyon and Hydrate Ridge along the Cascadia Margin collected during R/V Atlantis cruises in 2023 and 2024 (Collaborative Research: Investigating the source and flux of dissolved organic carbon released from methane seeps to the deep-ocean) These data include vertical profiles of concentrations and stable carbon isotope values of dissolved organic carbon (DOC), dissolved inorganic carbon (DIC), and total organic carbon (TOC) from sediment cores collected at methane seeps and reference sites. Sediment porosity and dissolved sulfate and methane concentrations are also presented. Methane seeps in Astoria Canyon and Hydrate Ridge along the Cascadia Margin were sampled. These data were collected over two years and across two cruises: AT50-14 (R/V Atlantis, 2023) and AT50-29B (R/V Atlantis, 2024). These data are used to assess the prevalence of methane-derived DOC at methane seeps, which may contribute 'old' carbon to the deep ocean or serve as a source of reduced carbon for the deep ocean microbial loop.\n\ncdm_data_type = Other\nVARIABLES:\nCruise (unitless)\nRegion (unitless)\nStation (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\nCore_Type (unitless)\nCore_retrieval_method (unitless)\nDate_Collected (unitless)\nDive (unitless)\nWater_depth_m (meters (m))\nTop_sed_depth_cm (centimeters below sea floor (cmbsf))\nBottom_sed_depth_cm (centimeters below sea floor (cmbsf))\nDepth_cm (centimeters below sea floor (cmbsf))\nSample_ID (unitless)\nCore_ID (unitless)\nCore_Allocation (unitless)\nFlux_Regime_Location_Based (unitless)\nOLW_num (unitless)\nComments (unitless)\nFrozen_status (unitless)\n... (35 more variables)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_1002509_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_1002509_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_1002509_v1/index.htmlTable https://osprey.bco-dmo.org/dataset/1002509 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_1002509_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_1002509_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_1002509_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_930347_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_930347_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_930347_v1/ public [GI02 dissolved thorium and protactinium isotopes] - Concentrations of dissolved thorium and protactinium isotopes (232Th, 230Th, 231Pa) in seawater collected during the Indian GEOTRACES Transect (SK312; GI02) in April-May 2014 (Collaborative Research: U.S. GEOTRACES Arctic Section: Thorium-230, Thorium-232, and Protactinium-231 tracers of trace element supply and removal.) This dataset contains concentrations of dissolved thorium and protactinium isotopes (232Th, 230Th, 231Pa) in seawater collected during the Indian GEOTRACES Transect (SK312; GI02; April 27 - May 30, 2014), in the western Indian Ocean, on the ORV Sagar Kanya. Similar data from SK324 (GI05) are available in a separate dataset. These data were generated at the Lamont-Doherty Earth Observatory of Columbia University (LDEO).\n\ncdm_data_type = Other\nVARIABLES:\nStation_ID (unitless)\nStart_Date_UTC (unitless)\nStart_Latitude (degrees_north)\nlongitude (Start_longitude, degrees_east)\ndepth (Sample_depth, m)\nCTDTMP (degrees Celsius)\nCTDSAL (PSU)\nTh_232_D_CONC_BOTTLE_ty8nwm (picomoles per kilogram (pmol/kg))\nSD1_Th_232_D_CONC_BOTTLE_ty8nwm (picomoles per kilogram (pmol/kg))\nFlag_Th_232_D_CONC_BOTTLE_ty8nwm (unitless)\nPa_231_D_CONC_BOTTLE_sc2jal (microBecquerel per kilogram (uBq/kg))\nSD1_Pa_231_D_CONC_BOTTLE_sc2jal (microBecquerel per kilogram (uBq/kg))\nFlag_Pa_231_D_CONC_BOTTLE_sc2jal (unitless)\nTh_230_D_CONC_BOTTLE_2a1hmp (microBecquerel per kilogram (uBq/kg))\nSD1_Th_230_D_CONC_BOTTLE_2a1hmp (microBecquerel per kilogram (uBq/kg))\nFlag_Th_230_D_CONC_BOTTLE_2a1hmp (unitless)\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_930347_v1/index.htmlTable https://www.bco-dmo.org/dataset/930347 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_930347_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_930347_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_930347_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_931248_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_931248_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_931248_v1/ public [GI05 dissolved thorium and protactinium isotopes] - Concentrations of dissolved thorium and protactinium isotopes (232Th, 230Th, 231Pa) in seawater collected during the Indian GEOTRACES Transect (SK324; GI05) in September-October 2015 (Collaborative Research: U.S. GEOTRACES Arctic Section: Thorium-230, Thorium-232, and Protactinium-231 tracers of trace element supply and removal.) This dataset contains concentrations of dissolved thorium and protactinium isotopes (232Th, 230Th, 231Pa) in seawater collected during the Indian GEOTRACES Transect (SK324; GI05; September 22 – October 21, 2015), in the western Indian Ocean, on the ORV Sagar Kanya. Similar data from SK312 (GI02) are available in a separate dataset. These data were generated at the Lamont-Doherty Earth Observatory of Columbia University (LDEO).\n\ncdm_data_type = Other\nVARIABLES:\nStation_ID (unitless)\nStart_Date_UTC (unitless)\nStart_Latitude (degrees_north)\nlongitude (Start_longitude, degrees_east)\ndepth (Sample_depth, m)\nCTDTMP (degrees Celsius)\nCTDSAL (PSU)\nPa_231_D_CONC_BOTTLE_fro7kt (microBecquerel per kilogram (uBq/kg))\nSD1_Pa_231_D_CONC_BOTTLE_fro7kt (microBecquerel per kilogram (uBq/kg))\nFlag_Pa_231_D_CONC_BOTTLE_fro7kt (unitless)\nTh_230_D_CONC_BOTTLE_inhsei (microBecquerel per kilogram (uBq/kg))\nSD1_Th_230_D_CONC_BOTTLE_inhsei (microBecquerel per kilogram (uBq/kg))\nFlag_Th_230_D_CONC_BOTTLE_inhsei (unitless)\nTh_232_D_CONC_BOTTLE_h66s3f (picomoles per kilogram (pmol/kg))\nSD1_Th_232_D_CONC_BOTTLE_h66s3f (picomoles per kilogram (pmol/kg))\nFlag_Th_232_D_CONC_BOTTLE_h66s3f (unitless)\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_931248_v1/index.htmlTable https://www.bco-dmo.org/dataset/931248 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_931248_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_931248_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_931248_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_996532_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_996532_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_996532_v1/ public [Glider observations from the southern Ross Sea] - Observations from two gliders deployed in the southern Ross Sea from November 2022 through January 2023 (NSFGEO-NERC: Collaborative Research – P2P: Predators to Plankton — Biophysical Controls in Antarctic Polynyas) Two gliders were launched in the southern Ross Sea and recorded data from November 2022 through January 2023 as part of the Plankton to Predators project. Sensors on the gliders included temperature, salinity, oxygen, fluorescence, optical backscatter and active acoustics; one glider had a photosynthetically active radiation (PAR) sensor and an passive acoustic monitoring sensor. From these data we quantified chlorophyll and particulate organic carbon concentrations, and also an estimate of krill and small fish (those data are not included in this submission). Data were decimated to 3-meter intervals for ease in analysis. The spatial extent of the glider observations ranged from 169.5–172.3°W and 77.4–76.4°S.\n\ncdm_data_type = Other\nVARIABLES:\nSeaglider (unitless)\nDive (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\nMatlab_Time (unitless)\ntime (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\ndepth (m)\nTemperature (degrees Celsius)\nSalinity (parts per thousand (ppt))\nBackscatter_470nm (arbitrary units)\nBackscatter_700nm (arbitrary units)\nFluorescence (arbitrary units)\nOxygen (micromoles per liter)\nOxygen_Saturation (micromoles per liter)\nDACu (unitless)\nDaCv (unitless)\nPAR (uEin/m2/s)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_996532_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_996532_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_996532_v1/index.htmlTable https://osprey.bco-dmo.org/dataset/996532 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_996532_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_996532_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_996532_v1
log in [Global Seabird Breeding Success] - Annual seabird productivity at breeding colonies around the world from 1964 to 2023 (Stratification Impacts on Seabirds Project) (Global analysis of stratification impacts on seabirds through food resources ) This global dataset on breeding productivity represents a compilation of individual time series from species and sites (seabird breeding colonies) across the world. Each time series was contributed by a Global Seabird Working Group (GSWG) collaborator. It contains the number of offspring produced per nesting female per year, which is a variable measured similarly by researchers. Seabird breeding productivity is typically measured by monitoring individual nest sites through time within each breeding season. Data from multiple females are then averaged to produce estimates of annual productivity for each species at each site, resulting in “species-site” time series. Typically, measurements are made for multiple species at each site, so data are often available for a portion of the full seabird community, including species feeding at different trophic levels and in different parts of the water column. Variance for species-site breeding productivity is estimated as the standard error across years for each time series. Here, there are 202 time series encompassing 87 sites and 73 seabird species.\n\ncdm_data_type = Other\nVARIABLES:\nyear (unitless)\nsite (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\nspeciesnum (unitless)\nspecies (unitless)\nScientificName_accepted (unitless)\nAphiaID (unitless)\nLSID (unitless)\nbreeding_success (reproduction_rate)\nn (individuals)\n BCO-DMO bcodmo_dataset_985565_v1
log in [Global Th and Pa] - Global dissolved thorium and protactinium database (Collaborative Research: Particle Scavenging Controls on Trace Element Distributions) We compiled a compilation of dissolved thorium (230Th and 232Th) and protactinium (231Pa) data measured by mass spectrometry, spanning from times preceding the GEOTRACES program until 2024. The dataset is available for model validation and data-model comparisons.\n\ncdm_data_type = Other\nVARIABLES:\nlatitude (Longitude, degrees_north)\nlongitude (Latitude, degrees_east)\ndepth (m)\nDissolved_231Pa (micro-becquerels per kilogram)\nDissolved_230Th (micro-becquerels per kilogram)\nDissolved_232Th (picomoles per kilogram)\nCitation (units)\nDOI (units)\n BCO-DMO bcodmo_dataset_969309_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_919606_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_919606_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_919606_v1/ public [Globorotaloides hexagonus trace element ablation profiles] - Globorotaloides hexagonus trace element ablation profiles from samples collected from MOCNESS tows from R/V Sikuliaq cruise SKQ201701S in 2017 (Glacial-Interglacial Changes in Oxygen Minimum Zones Using Deep-Dwelling, Low-Oxygen Planktic Foraminifera) The planktic foraminifer Globorotaloides hexagonus is found in temperate to tropical oxygen minimum zones (OMZs). Their preferred habitat make G. hexagonus an important species for the development of oxygen-related paleoproxies. Here we report trace-element-to-calcium (TE/Ca) ratios with depth in the shell of G. hexagonus from the Eastern Tropical North Pacific (21 N, 117 W) . Individuals were isolated from a series of Multiple Opening/Closing Net and Environmental Sensing System (MOCNESS) tows on the R/V Sikuliaq  in January and February 2017 and represent a wide range of depth habitats and  oxygen concentrations. Oxygen concentration and depth from MOCNESS are provided in the metadata for each sample. Trace elements (Mg, Mn, Zn, Sr, Ba, Ca) were quantified using laser ablation ICP-MS from the outside to the inside of the shell, allowing for a reconstruction of TE/Ca with depth in the shell. MOCNESS data were collected by Dr. Karen Wishner (URI),  ablation data were collected by Dr. Catherine Davis (NCSU) and Dr. Jennifer Fehrenbacher (OSU), and data were prepared by Dr. Shannon Doherty (NCSU and UAF).\n\ncdm_data_type = Other\nVARIABLES:\nfilename (unitless)\nMOCNESS_cast (unitless)\nnet (unitless)\nforam (unitless)\nfile (unitless)\ntime_elapsed (Time, seconds)\nX24Mg_43Ca (mol per mol)\nX25Mg_43Ca (mol per mol)\nX55Mn_43Ca (mol per mol)\nX66Zn_43Ca (mol per mol)\nX88Sr_43Ca (mol per mol)\nX138Ba_43Ca (mol per mol)\ndepth_micron (Depth, micron)\ndate_time_UTC (unitless)\nLat_in (degrees_north)\nlongitude (Lat_out, degrees_east)\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_919606_v1/index.htmlTable https://www.bco-dmo.org/dataset/919606 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_919606_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_919606_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_919606_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_946112_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_946112_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_946112_v1/ public [GN01 Dissolved Methane (CH₄)] - Dissolved methane (CH₄) concentrations from the U.S. GEOTRACES Arctic cruise (HLY1502; GN01) on USCGC Healy from August to October 2015 (U.S. Arctic GEOTRACES Study (GN01)) This dataset reports dissolved methane (CH₄) concentrations from the US GEOTRACES Arctic Expedition on USCGC Healy (GN01, HLY1502) from August to October 2015. Seawater samples were collected using the ODF rosette. Both GEOTRACES samples and GO-SHIP samples from the same cruise were analyzed. Methane was analyzed using cavity ringdown spectroscopy to determine its concentration in an equilibrated headspace. Arctic waters are a possibly significant source of this Greenhouse Gas to the atmosphere and global change is likely exacerbating its release. Methane is also a potentially valuable indicator of interactions with the shelf as well as of river inputs. Dissolved methane concentrations in this section were highest over the continental shelves and slope, which supports our understanding of the major sources of methane (i.e., from microbes in oxygen-limited sediments, from gas seeps, and from gas-hydrates).\n\ncdm_data_type = Other\nVARIABLES:\nStation_ID (unitless)\nEvent_ID (unitless)\nStart_Date_UTC (unitless)\nStart_Time_UTC (unitless)\ntime (Start_iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\nlatitude (Start_latitude, degrees_north)\nlongitude (Start_longitude, degrees_east)\nRosette_Position (unitless)\nSample_ID (unitless)\ndepth (Sample_depth, m)\nCH4_D_CONC_BOTTLE_fiwgyy (nanomoles per kilogram (nmol/kg))\nSD1_CH4_D_CONC_BOTTLE_fiwgyy (nanomoles per kilogram (nmol/kg))\nFlag_CH4_D_CONC_BOTTLE_fiwgyy (unitless)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_946112_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_946112_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_946112_v1/index.htmlTable https://www.bco-dmo.org/dataset/946112 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_946112_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_946112_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_946112_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_904895_v2 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_904895_v2.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_904895_v2/ public [GN01 Element quotas of individual phytoplankton cells] - Element quotas of individual phytoplankton cells from samples collected on the US GEOTRACES Arctic cruise GN01 (HLY1502) on USCGC Healy in August-October 2015 (U.S. Arctic GEOTRACES Study (GN01)) Individual phytoplankton cells were collected on the US GEOTRACES Arctic cruise GN01 (HLY1502) on USCGC Healy in August-October 2015. The elemental (Si, P, S, Mn, Fe, Co, Ni, Cu, Zn) content of each cell was measured with synchrotron x-ray fluorescence (SXRF). Carbon was calculated from biovolume. Data can be used to assess biogenic particulate metal fraction, as well as changes in the accumulation of these elements across environmental gradients. Data are part of the larger international GEOTRACES dataset.\n\ncdm_data_type = Other\nVARIABLES:\nRun (unitless)\nCruise (unitless)\nStation (unitless)\nlatitude (Lat_n, degrees_north)\nlongitude (Lon_e, degrees_east)\nDate (unitless)\nStart_time (unitless)\ntime (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\ndepth (m)\nDepthDescr (unitless)\nGEOTRC_SAMPNO (unitless)\nCellType (unitless)\nMDA (unitless)\nUniqueCell (unitless)\nGridType (unitless)\nVolume (cubic microns)\ncellC (moles)\ncellSi (moles)\ncellP (moles)\ncellS (moles)\ncellMn (moles)\ncellFe (moles)\n... (7 more variables)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_904895_v2_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_904895_v2_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_904895_v2/index.htmlTable https://osprey.bco-dmo.org/dataset/904895 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_904895_v2.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_904895_v2&showErrors=false&email= BCO-DMO bcodmo_dataset_904895_v2
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_942833_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_942833_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_942833_v1/ public [GO-SHIP A16N 2023 d13C DIC] - Stable carbon isotope of dissolved inorganic carbon (δ13C-DIC) collected during the Global Ocean Ship-based Hydrographic Investigations Program (GO-SHIP) A16N cruises on R/V Ronald Brown between March and May 2023 (Measurements of stable carbon isotopes on board GO-SHIP cruises in the South Atlantic Ocean to enhance our ability to quantify anthropogenic CO2 uptake rates by the ocean) These data include the stable carbon isotope of dissolved inorganic carbon (δ13C-DIC) collected during the Global Ocean Ship-based Hydrographic Investigations Program (GO-SHIP) A16N cruise in 2023. The cruise was divided into two legs and all aboard the R/V Ronald H. Brown between dates 2023-03-06 and 2023-05-09 in the North Atlantic Ocean. An automated, efficient, and high-precision method for ship-based δ13C-DIC analysis based on Cavity Ring-Down Spectroscopy (CRDS) was used. Stable isotopes of carbon can be used as a \"signature\" to identify fossil fuel-derived carbon dioxide in the atmosphere and ocean. These data were collected by Dr. Wei-Jun Cai's group of the University of Delaware.\n\ncdm_data_type = Other\nVARIABLES:\nEXPOCODE (unitless)\nSECT_ID (unitless)\ntime (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\nDATE (unitless)\nTIME_UTC (unitless)\nSTATION (unitless)\nNISKIN (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\ndepth (m)\nDELC13 (per mil (‰))\nDELC13_FLAG (unitless)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_942833_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_942833_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_942833_v1/index.htmlTable https://www.bco-dmo.org/dataset/942833 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_942833_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_942833_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_942833_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_986667_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_986667_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_986667_v1/ public [GOHSNAP oxygen] - Dissolved oxygen time series measured on the Overturning in the Subpolar North Atlantic Program (OSNAP) moorings within the boundary currents of the Labrador and Irminger Seas from summer 2020 to summer 2022 (Collaborative Research: Gases in the Overturning and Horizontal circulation of the Subpolar North Atlantic Program (GOHSNAP)) This dataset contains oxygen time series collected from June 2020 - July 2022 on the Overturning in the Subpolar North Atlantic Program (OSNAP) moorings CF1, CF3, CF4, CF5, CF6, CF7, M1, M2, and M3 moorings in the western Irminger Sea, the C1_b, C2_b, C3_b, K7, K8, K9, K10, and DSOW 2 in the western Labrador Sea, and the LS1, LS3, LS4, LS5, LS6, LS7, and LS8 in the eastern Labrador Sea. Depths of oxygen data collection on the moorings range from as shallow as 50 m to as deep as 3500 m, covering the seasonally-stratified, near-surface waters, Labrador Sea Water, Northeast Atlantic Deep Water, and Denmark Strait Overflow Water masses.  These data were collected and calibrated for the Gases in the Overturning and Horizontal circulation of the Subpolar North Atlantic Program (GOHSNAP) for the purpose of calculating oxygen transports in the Labrador Sea. Data were calibrated and corrected for drift using Winkler-calibrated shipboard oxygen casts collected on the mooring recovery and deployment cruises, described in Miller et al. (2024) (Frontiers in Marine Science; 10.3389/fmars.2024.1441976).\n\ncdm_data_type = Other\nVARIABLES:\ntime (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\nTEMP (degrees Celsius)\nPTEMP (degrees Celsius)\nPSAL (Practical Salinity Units (PSU))\nPRES (decibars (dbar))\nDOXY (micromoles per kilogram (umol/kg))\nDOXY_drift_corrected (micromoles per kilogram (umol/kg))\nfilename (unitless)\nserial_number (unitless)\nmooring (unitless)\nosnap_id (unitless)\ndepth (m)\nlocation (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\ndeploy_cruise_id (unitless)\n... (7 more variables)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_986667_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_986667_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_986667_v1/index.htmlTable https://osprey.bco-dmo.org/dataset/986667 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_986667_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_986667_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_986667_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_995113_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_995113_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_995113_v1/ public [Gowth Curves] - Impact of Alteromonas macleodii exudates on the growth of Prochlorococcus MIT9312 cultures (Collaborative Research: Extracellular vesicles as vehicles for microbial interactions in marine Black Queen communities) The cyanobacterium Prochlorococcus has a conspicuously reduced genome causing it to require help from co-existing organisms for survival under a variety of stressful conditions. In this work we used conditioned media experiments to demonstrate that exudates of the heterotrophic bacterium Alteromonas macleodii EZ55 facilitated the survival of Prochlorococcus MIT9312 batch co-cultures as they entered stationary phase. We further show that the largest molecular weight fraction (> 50 kDa) was much more effective than the < 50 kDa fraction, and that boiling the exudate dramatically reduces its ability to facilitate Prochlorococcus growth and survival, supporting the hypothesis that active enzymes in the exudate were responsible for the observed effects.\n\ncdm_data_type = Other\nVARIABLES:\nExperiment (Unitless)\nStrain (Unitless)\nEvolTreat (Unitless)\nExpTreat (Unitless)\nAxenic (Unitless)\nTransfer (Unitless)\nDay (Unitless)\nFluorescence (Unitless)\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_995113_v1/index.htmlTable https://osprey.bco-dmo.org/dataset/995113 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_995113_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_995113_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_995113_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_931959_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_931959_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_931959_v1/ public [GP09 dissolved trace elements] - Dissolved trace elements in profiles and surface waters collected during the Chinese GEOTRACES cruise (GP09) in the tropical northwest Pacific Ocean from April to June 2019 (Dissolved trace elements in the tropical Northwest Pacific Ocean) This is a study of dissolved trace elements in profiles and surface waters collected during the Spring 2019 Chinese GEOTRACES cruise (GP09) in the tropical northwest Pacific Ocean. GP09 afforded the opportunity to obtain trace element clean water samples (provided by the cruise organizers) from a region that is geologically complex as well as being a meeting place for various ocean currents and water masses. GP09 sampled the southwest corner of the North Pacific subtropical gyre, one of the largest oligotropic ocean regions and arguably the largest continuous ecosystem on Earth. Yet this region has been poorly studied for trace element distributions. We determined dissolved trace element concentrations by using established high-resolution ICP-MS methods.\n\ncdm_data_type = Other\nVARIABLES:\nStation_ID (unitless)\nEvent_ID (unitless)\ntime (Start_iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\nEnd_ISO_DateTime_UTC (seconds since 1970-01-01T00:00:00Z)\nStart_Date_UTC (unitless)\nStart_Time_UTC (unitless)\nEnd_Date_UTC (unitless)\nEnd_Time_UTC (unitless)\nlatitude (Start_latitude, degrees_north)\nlongitude (Start_longitude, degrees_east)\nEnd_Latitude (degrees_north)\nEnd_Longitude (degrees_east)\nRosette_Position (unitless)\nSample_ID (unitless)\ndepth (Sample_depth, m)\nBa_D_CONC_BOTTLE_itzwe9 (nanomoles per kilogram (nmol/kg))\nSD1_Ba_D_CONC_BOTTLE_itzwe9 (nanomoles per kilogram (nmol/kg))\nFlag_Ba_D_CONC_BOTTLE_itzwe9 (unitless)\nCu_D_CONC_BOTTLE_ccmjgy (nanomoles per kilogram (nmol/kg))\nSD1_Cu_D_CONC_BOTTLE_ccmjgy (nanomoles per kilogram (nmol/kg))\n... (133 more variables)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_931959_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_931959_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_931959_v1/index.htmlTable https://www.bco-dmo.org/dataset/931959 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_931959_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_931959_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_931959_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_934745_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_934745_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_934745_v1/ public [GP15 Aerosol Pb and Pb Isotopes Leg 1] - Aerosol lead (Pb) and Pb isotopes from Leg 1 (Seattle, WA to Hilo, HI) of the US GEOTRACES Pacific Meridional Transect (PMT) cruise (GP15, RR1814) on R/V Roger Revelle from September to October 2018 (US GEOTRACES Pacific Meridional Transect (GP15)) Dr. Chris Marsay collected shipboard aerosol samples during the U.S. GEOTRACES GP15 Pacific Meridional Transect cruise on R/V Revelle from October to November 2018 and provided subsamples to Massachusetts Institute of Technology (MIT) for lead (Pb) and Pb isotope analyses. These were carried out by undergraduate student Avery Wang and Research Scientist Jahander Ramezani. The north-south transect shows large Pb concentration and Pb isotope changes. The Pb concentration variability is very similar to the Pb concentrations measured independently by Dr. Marsay. The Pb isotope ratios show a strong Chinese signature in the northern portion of the transect, and ratios more similar to American and Australian signatures further south.\n\ncdm_data_type = Other\nVARIABLES:\nEvent_ID (unitless)\ntime (Start_iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\nEnd_ISO_DateTime_UTC (seconds since 1970-01-01T00:00:00Z)\nlatitude (Start_latitude, degrees_north)\nlongitude (Start_longitude, degrees_east)\nEnd_Latitude (degrees_north)\nEnd_Longitude (degrees_east)\nSample_Position (unitless)\nSample_ID (unitless)\nPb_A_T_CONC_HIVOL_tsmsme (femtomoles per cubic meter (fmol/m^3))\nSD1_Pb_A_T_CONC_HIVOL_tsmsme (femtomoles per cubic meter (fmol/m^3))\nFlag_Pb_A_T_CONC_HIVOL_tsmsme (unitless)\nPb_206_207_A_T_RATIO_HIVOL_r8aus4 (unitless)\nSD1_Pb_206_207_A_T_RATIO_HIVOL_r8aus4 (unitless)\nFlag_Pb_206_207_A_T_RATIO_HIVOL_r8aus4 (unitless)\nPb_208_207_A_T_RATIO_HIVOL_ybtdvk (unitless)\nSD1_Pb_208_207_A_T_RATIO_HIVOL_ybtdvk (unitless)\nFlag_Pb_208_207_A_T_RATIO_HIVOL_ybtdvk (unitless)\nPb_206_204_A_T_RATIO_HIVOL_w1gtye (unitless)\nSD1_Pb_206_204_A_T_RATIO_HIVOL_w1gtye (unitless)\nFlag_Pb_206_204_A_T_RATIO_HIVOL_w1gtye (unitless)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_934745_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_934745_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_934745_v1/index.htmlTable https://osprey.bco-dmo.org/dataset/934745 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_934745_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_934745_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_934745_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_934788_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_934788_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_934788_v1/ public [GP15 Aerosol Pb and Pb Isotopes Leg 2] - Aerosol lead (Pb) and Pb isotopes from Leg 2 (Hilo, HI to Papeete, French Polynesia) of the US GEOTRACES Pacific Meridional Transect (PMT) cruise (GP15, RR1815) on R/V Roger Revelle from Oct-Nov 2018 (US GEOTRACES Pacific Meridional Transect (GP15)) Dr. Chris Marsay collected shipboard aerosol samples during the U.S. GEOTRACES GP15 Pacific Meridional Transect cruise on R/V Revelle from October to November 2018 and provided subsamples to Massachusetts Institute of Technology (MIT) for lead (Pb) and Pb isotope analyses. These were carried out by undergraduate student Avery Wang and Research Scientist Jahander Ramezani. The north-south transect shows large Pb concentration and Pb isotope changes. The Pb concentration variability is very similar to the Pb concentrations measured independently by Dr. Marsay. The Pb isotope ratios show a strong Chinese signature in the northern portion of the transect, and ratios more similar to American and Australian signatures further south.\n\ncdm_data_type = Other\nVARIABLES:\nEvent_ID (unitless)\ntime (Start_iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\nEnd_ISO_DateTime_UTC (seconds since 1970-01-01T00:00:00Z)\nlatitude (Start_latitude, degrees_north)\nlongitude (Start_longitude, degrees_east)\nEnd_Latitude (degrees_north)\nEnd_Longitude (degrees_east)\nSample_Position (unitless)\nSample_ID (unitless)\nPb_A_T_CONC_HIVOL_icwcwz (femtomoles per cubic meter (fmol/m^3))\nSD1_Pb_A_T_CONC_HIVOL_icwcwz (femtomoles per cubic meter (fmol/m^3))\nFlag_Pb_A_T_CONC_HIVOL_icwcwz (unitless)\nPb_206_207_A_T_RATIO_HIVOL_bxxzna (unitless)\nSD1_Pb_206_207_A_T_RATIO_HIVOL_bxxzna (unitless)\nFlag_Pb_206_207_A_T_RATIO_HIVOL_bxxzna (unitless)\nPb_208_207_A_T_RATIO_HIVOL_9hzffz (unitless)\nSD1_Pb_208_207_A_T_RATIO_HIVOL_9hzffz (unitless)\nFlag_Pb_208_207_A_T_RATIO_HIVOL_9hzffz (unitless)\nPb_206_204_A_T_RATIO_HIVOL_kmxmvh (unitless)\nSD1_Pb_206_204_A_T_RATIO_HIVOL_kmxmvh (unitless)\nFlag_Pb_206_204_A_T_RATIO_HIVOL_kmxmvh (unitless)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_934788_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_934788_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_934788_v1/index.htmlTable https://osprey.bco-dmo.org/dataset/934788 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_934788_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_934788_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_934788_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_937120_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_937120_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_937120_v1/ public [GP15 Bulk, Size-fractionated, and Deionized Water Soluble Aerosol Fe Zn Cd Isotopes Leg 1] - Concentrations and stable isotopes of total and deionized water-soluble Fe, Zn, and Cd bulk aerosols and Fe concentrations and stable isotopes of coarse and fine aerosols from Leg 1 of the US GEOTRACES PMT cruise (GP15, RR1814) from Sept to Oct 2018 (US GEOTRACES Pacific Meridional Transect (GP15)) This dataset reports concentrations and stable isotopes of total and deionized water-soluble iron (Fe), zinc (Zn), and cadmium (Cd) bulk aerosols and Fe concentrations and stable isotopes of coarse (>0.95 micrometers (µm)) and fine (<0.95 µm) aerosols collected during Leg 1 (RR1814) of the US GEOTRACES GP15 Pacific Meridional Transect (PMT) cruise on R/V Roger Revelle from September to October 2018 on a meridional transect along 152°W from Alaska to Tahiti. Concentration and isotope data were collected by Zachary Bunnell, Dr. Matthias Sieber, and Dr. Tim Conway at the University of South Florida using a Thermo Neptune Plus MC-ICPMS following aerosol collection and processing by Dr. Clifton Buck's group. Trace metal isotope ratios are an important emerging tool in aerosols to trace aerosol sources of each metal. Data from Leg 2 of the cruise (RR1815) are available in a separate dataset.\n\ncdm_data_type = Other\nVARIABLES:\nStation_ID (unitless)\nEvent_ID (unitless)\nStart_Date_UTC (unitless)\nStart_Time_UTC (unitless)\ntime (Start_iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\nEnd_Date_UTC (unitless)\nEnd_Time_UTC (unitless)\nEnd_ISO_DateTime_UTC (seconds since 1970-01-01T00:00:00Z)\nlatitude (Start_latitude, degrees_north)\nlongitude (Start_longitude, degrees_east)\nEnd_Latitude (degrees_north)\nEnd_Longitude (degrees_east)\nRosette_Position (unitless)\nSample_ID (unitless)\nFe_56_54_A_SMLH2O_DELTA_HIVOL_seqqmm (per mil)\nSE2_Fe_56_54_A_SMLH2O_DELTA_HIVOL_seqqmm (per mil)\nFlag_Fe_56_54_A_SMLH2O_DELTA_HIVOL_seqqmm (unitless)\nCd_A_SMLH2O_CONC_HIVOL_ptp6r9 (picomoles per cubic meter (pmol/m^3))\n... (41 more variables)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_937120_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_937120_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_937120_v1/index.htmlTable https://www.bco-dmo.org/dataset/937120 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_937120_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_937120_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_937120_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_937148_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_937148_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_937148_v1/ public [GP15 Bulk, Size-fractionated, and Deionized Water Soluble Aerosol Fe Zn Cd Isotopes Leg 2] - Concentrations and stable isotopes of total and deionized water-soluble Fe, Zn, and Cd bulk aerosols and Fe concentrations and stable isotopes of coarse and fine aerosols from Leg 2  of the US GEOTRACES PMT cruise (GP15, RR1814) from Oct to Nov 2018 (US GEOTRACES Pacific Meridional Transect (GP15)) This dataset reports concentrations and stable isotopes of total and deionized water-soluble iron (Fe), zinc (Zn), and cadmium (Cd) bulk aerosols and Fe concentrations and stable isotopes of coarse (>0.95 micrometers (µm)) and fine (<0.95 µm) aerosols collected durin Leg 2 (RR1815) of the US GEOTRACES GP15 Pacific Meridional Transect (PMT) cruise on R/V Roger Revelle from October to November 2018 on a meridional transect along 152°W from Alaska to Tahiti. Concentration and isotope data were collected by Zachary Bunnell, Dr. Matthias Sieber, and Dr. Tim Conway at the University of South Florida using a Thermo Neptune Plus MC-ICPMS following aerosol collection and processing by Dr. Clifton Buck's group. Trace metal isotope ratios are an important emerging tool in aerosols to trace aerosol sources of each metal. Data from Leg 1 of the cruise (RR1814) are available in a separate dataset.\n\ncdm_data_type = Other\nVARIABLES:\nStation_ID (unitless)\nEvent_ID (unitless)\nStart_Date_UTC (unitless)\nStart_Time_UTC (unitless)\ntime (Start_iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\nEnd_Date_UTC (unitless)\nEnd_Time_UTC (unitless)\nEnd_ISO_DateTime_UTC (seconds since 1970-01-01T00:00:00Z)\nlatitude (Start_latitude, degrees_north)\nlongitude (Start_longitude, degrees_east)\nEnd_Latitude (degrees_north)\nEnd_Longitude (degrees_east)\nRosette_Position (unitless)\nSample_ID (unitless)\nFe_56_54_A_SMLH2O_DELTA_HIVOL_f0qtdh (per mil)\nSE2_Fe_56_54_A_SMLH2O_DELTA_HIVOL_f0qtdh (per mil)\nFlag_Fe_56_54_A_SMLH2O_DELTA_HIVOL_f0qtdh (unitless)\nCd_114_110_A_SMLH2O_DELTA_HIVOL_w0ytwa (per mil)\n... (41 more variables)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_937148_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_937148_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_937148_v1/index.htmlTable https://www.bco-dmo.org/dataset/937148 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_937148_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_937148_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_937148_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_946242_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_946242_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_946242_v1/ public [GP15 delta30Si Leg 1] - Depth profiles of the isotopic composition (δ30Si) of silicon within dissolved silicic acid from samples collected on Leg 1 of the US GEOTRACES Pacific Meridional Transect (PMT) cruise (GP15, RR1814) on R/V Roger Revelle from September to October 2018 (US GEOTRACES Pacific Meridional Transect (GP15)) The isotopic composition of dissolved silicon (δ30Si) has proven to be a powerful tool to better understand the marine Si cycle. The δ30Si of seawater carries information about dissolved silicon utilization in surface waters, the subsequent dissolution of sinking biogenic material as well as water mass mixing. This data set supplies information on the spatial distribution of isotopes of Si within water masses from Tahiti to Alaska along GEOTRACES section GP15. This dataset results from leg 1 of the expedition, RR1814; data from RR1815 are available in a separate BCO-DMO dataset.\n\ncdm_data_type = Other\nVARIABLES:\nStation_ID (unitless)\nStart_Date_UTC (unitless)\nStart_Time_UTC (unitless)\ntime (Start_iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\nlatitude (Start_latitude, degrees_north)\nlongitude (Start_longitude, degrees_east)\nEvent_ID (unitless)\nSample_ID (unitless)\nSample_Depth (decibars (db))\nSILICATE_30_28_D_DELTA_BOTTLE_mmipkg (per mil)\nSD1_SILICATE_30_28_D_DELTA_BOTTLE_mmipkg (per mil)\nFlag_SILICATE_30_28_D_DELTA_BOTTLE_mmipkg (unitless)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_946242_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_946242_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_946242_v1/index.htmlTable https://www.bco-dmo.org/dataset/946242 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_946242_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_946242_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_946242_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_946249_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_946249_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_946249_v1/ public [GP15 delta30Si Leg 2] - Depth profiles of the isotopic composition (δ30Si) of silicon within dissolved silicic acid from samples collected on Leg 2 of the US GEOTRACES Pacific Meridional Transect (PMT) cruise (GP15, RR1815) on R/V Roger Revelle from October to November 2018 (US GEOTRACES Pacific Meridional Transect (GP15)) The isotopic composition of dissolved silicon (δ30Si) has proven to be a powerful tool to better understand the marine Si cycle. The δ30Si of seawater carries information about dissolved silicon utilization in surface waters, the subsequent dissolution of sinking biogenic material as well as water mass mixing. This data set supplies information on the spatial distribution of isotopes of Si within water masses from Tahiti to Alaska along GEOTRACES section GP15. This dataset results from leg 2 of the expedition, RR1815; data from RR1814 are available in a separate BCO-DMO dataset.\n\ncdm_data_type = Other\nVARIABLES:\nStation_ID (unitless)\nStart_Date_UTC (unitless)\nStart_Time_UTC (unitless)\ntime (Start_iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\nlatitude (Start_latitude, degrees_north)\nlongitude (Start_longitude, degrees_east)\nEvent_ID (unitless)\nSample_ID (unitless)\nSample_Depth (decibars (db))\nSILICATE_30_28_D_DELTA_BOTTLE_1foxwp (per mil)\nSD1_SILICATE_30_28_D_DELTA_BOTTLE_1foxwp (per mil)\nFlag_SILICATE_30_28_D_DELTA_BOTTLE_1foxwp (unitless)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_946249_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_946249_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_946249_v1/index.htmlTable https://www.bco-dmo.org/dataset/946249 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_946249_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_946249_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_946249_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_835589_v4 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_835589_v4.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_835589_v4/ public [GP15 Dissolved Ba Cd Cu Ga Mn Ni and Pb Leg 1] - Dissolved concentrations of Ba, Cd, Cu, Ga, Mn, Ni, and Pb from Leg 1 (Seattle, WA to Hilo, HI) of the US GEOTRACES Pacific Meridional Transect (PMT) cruise (GP15, RR1814) on R/V Roger Revelle from September to October 2018 (US GEOTRACES Pacific Meridional Transect (GP15)) Dissolved concentrations of Ba, Cd, Cu, Ga, Mn, Ni, and Pb from Leg 1 (Seattle, WA to Hilo, HI) of the US GEOTRACES Pacific Meridional Transect (PMT) cruise (GP15, RR1814) on R/V Roger Revelle from September to October 2018.\n\ncdm_data_type = Other\nVARIABLES:\nStation_ID (unitless)\nStart_Date_UTC (unitless)\nStart_Time_UTC (unitless)\ntime (Start_iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\nEnd_Date_UTC (unitless)\nEnd_Time_UTC (unitless)\nEnd_ISO_DateTime_UTC (seconds since 1970-01-01T00:00:00Z)\nlatitude (Start_latitude, degrees_north)\nlongitude (Start_longitude, degrees_east)\nEnd_Latitude (degrees_north)\nEnd_Longitude (degrees_east)\nEvent_ID (unitless)\nSample_ID (unitless)\ndepth (Sample_depth, m)\nCTD_Pressure (decibars (dbar))\nBa_D_CONC_BOTTLE_hndhco (nanomoles per kilogram (nmol/kg))\nSD1_Ba_D_CONC_BOTTLE_hndhco (nanomoles per kilogram (nmol/kg))\nFlag_Ba_D_CONC_BOTTLE_hndhco (unitless)\nBa_D_CONC_FISH_nwzpfg (nanomoles per kilogram (nmol/kg))\nSD1_Ba_D_CONC_FISH_nwzpfg (nanomoles per kilogram (nmol/kg))\nFlag_Ba_D_CONC_FISH_nwzpfg (unitless)\nCd_D_CONC_BOTTLE_3qngnv (nanomoles per kilogram (nmol/kg))\nSD1_Cd_D_CONC_BOTTLE_3qngnv (nanomoles per kilogram (nmol/kg))\nFlag_Cd_D_CONC_BOTTLE_3qngnv (unitless)\nCd_D_CONC_FISH_rysl9e (nanomoles per kilogram (nmol/kg))\n... (32 more variables)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_835589_v4_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_835589_v4_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_835589_v4/index.htmlTable https://www.bco-dmo.org/dataset/835589 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_835589_v4.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_835589_v4&showErrors=false&email= BCO-DMO bcodmo_dataset_835589_v4
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_836121_v3 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_836121_v3.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_836121_v3/ public [GP15 Dissolved Ba Cd Cu Ga Mn Ni and Pb Leg 2] - Dissolved concentrations of Ba, Cd, Cu, Ga, Mn, Ni, and Pb from Leg 2 (Hilo, HI to Papeete, French Polynesia) of the US GEOTRACES Pacific Meridional Transect (PMT) cruise (GP15, RR1815) on R/V Roger Revelle from Oct-Nov 2018 (US GEOTRACES Pacific Meridional Transect (GP15)) Dissolved concentrations of Ba, Cd, Cu, Ga, Mn, Ni, and Pb from Leg 2 (Hilo, HI to Papeete, French Polynesia) of the US GEOTRACES Pacific Meridional Transect (PMT) cruise (GP15, RR1815) on R/V Roger Revelle from October to November 2018.\n\ncdm_data_type = Other\nVARIABLES:\nStation_ID (unitless)\nStart_Date_UTC (unitless)\nStart_Time_UTC (unitless)\ntime (Start_iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\nEnd_Date_UTC (unitless)\nEnd_Time_UTC (unitless)\nEnd_ISO_DateTime_UTC (seconds since 1970-01-01T00:00:00Z)\nlatitude (Start_latitude, degrees_north)\nlongitude (Start_longitude, degrees_east)\nEnd_Latitude (degrees_north)\nEnd_Longitude (degrees_east)\nEvent_ID (unitless)\nSample_ID (unitless)\ndepth (Sample_depth, m)\nCTD_Pressure (decibars (dbar))\nBa_D_CONC_BOTTLE_6yrfu2 (nanomoles per kilogram (nmol/kg))\nSD1_Ba_D_CONC_BOTTLE_6yrfu2 (nanomoles per kilogram (nmol/kg))\nFlag_Ba_D_CONC_BOTTLE_6yrfu2 (unitless)\nBa_D_CONC_FISH_zlfwni (nanomoles per kilogram (nmol/kg))\nSD1_Ba_D_CONC_FISH_zlfwni (nanomoles per kilogram (nmol/kg))\nFlag_Ba_D_CONC_FISH_zlfwni (unitless)\nCd_D_CONC_BOTTLE_s0muvq (nanomoles per kilogram (nmol/kg))\nSD1_Cd_D_CONC_BOTTLE_s0muvq (nanomoles per kilogram (nmol/kg))\nFlag_Cd_D_CONC_BOTTLE_s0muvq (unitless)\nCd_D_CONC_FISH_awbbbh (nanomoles per kilogram (nmol/kg))\n... (32 more variables)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_836121_v3_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_836121_v3_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_836121_v3/index.htmlTable https://www.bco-dmo.org/dataset/836121 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_836121_v3.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_836121_v3&showErrors=false&email= BCO-DMO bcodmo_dataset_836121_v3
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_825891_v4 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_825891_v4.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_825891_v4/ public [GP15 Dissolved Radium-226 and Radium-228 Leg 1] - Water column dissolved radium-226 and radium-228 from Leg 1 (Seattle, WA to Hilo, HI) of the US GEOTRACES Pacific Meridional Transect (PMT) cruise (GP15, RR1814) on R/V Roger Revelle from September to October 2018 (US GEOTRACES Pacific Meridional Transect (GP15)) Water column dissolved radium-226 and radium-228 from Leg 1 (Seattle, WA to Hilo, HI) of the US GEOTRACES Pacific Meridional Transect (PMT) cruise (GP15, RR1814) on R/V Roger Revelle from September to October 2018. In this dataset version (v4), there have been corrections made to sample depths and sample ID numbers.\n\ncdm_data_type = Other\nVARIABLES:\nStation_ID (unitless)\nStart_Date_UTC (unitless)\nStart_Time_UTC (unitless)\ntime (Start_iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\nEnd_Date_UTC (unitless)\nEnd_Time_UTC (unitless)\nEnd_ISO_DateTime_UTC (seconds since 1970-01-01T00:00:00Z)\nlatitude (Start_latitude, degrees_north)\nlongitude (Start_longitude, degrees_east)\nEnd_Latitude (degrees_north)\nEnd_Longitude (degrees_east)\nEvent_ID (unitless)\nSample_ID_228Ra (unitless)\nSample_ID_226Ra (unitless)\nSample_Depth_Corr_226Ra (m)\nSample_Depth_Corr_228Ra (m)\nRa_226_D_CONC_BOTTLE_9ajov6 (milliBecquerels per kilogram (mBq/kg))\nSD1_Ra_226_D_CONC_BOTTLE_9ajov6 (milliBecquerels per kilogram (mBq/kg))\nFlag_Ra_226_D_CONC_BOTTLE_9ajov6 (unitless)\nRa_228_D_CONC_PUMP_0wrh9t (milliBecquerels per kilogram (mBq/kg))\nSD1_Ra_228_D_CONC_PUMP_0wrh9t (milliBecquerels per kilogram (mBq/kg))\nFlag_Ra_228_D_CONC_PUMP_0wrh9t (unitless)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_825891_v4_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_825891_v4_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_825891_v4/index.htmlTable https://osprey.bco-dmo.org/dataset/825891 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_825891_v4.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_825891_v4&showErrors=false&email= BCO-DMO bcodmo_dataset_825891_v4
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_825947_v4 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_825947_v4.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_825947_v4/ public [GP15 Dissolved Radium-226 and Radium-228 Leg 2] - Water column dissolved radium-226 and radium-228 from Leg 2 (Hilo, HI to Papeete, French Polynesia) of the US GEOTRACES Pacific Meridional Transect (PMT) cruise (GP15, RR1815) on R/V Roger Revelle from October to November 2018 (US GEOTRACES Pacific Meridional Transect (GP15)) Water column dissolved radium-226 and radium-228 from Leg 2 (Hilo, HI to Papeete, French Polynesia) of the US GEOTRACES Pacific Meridional Transect (PMT) cruise (GP15, RR1815) on R/V Roger Revelle from October to November 2018. In this dataset version (v4), there have been corrections made to sample depths and sample ID numbers.\n\ncdm_data_type = Other\nVARIABLES:\nStation_ID (unitless)\nStart_Date_UTC (unitless)\nStart_Time_UTC (unitless)\ntime (Start_iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\nEnd_Date_UTC (unitless)\nEnd_Time_UTC (unitless)\nEnd_ISO_DateTime_UTC (seconds since 1970-01-01T00:00:00Z)\nlatitude (Start_latitude, degrees_north)\nlongitude (Start_longitude, degrees_east)\nEnd_Latitude (degrees_north)\nEnd_Longitude (degrees_east)\nEvent_ID (unitless)\nSample_ID_228Ra (unitless)\nSample_ID_226Ra (unitless)\nSample_Depth_Corr_226Ra (m)\nSample_Depth_Corr_228Ra (m)\nRa_226_D_CONC_BOTTLE_zkto8n (milliBecquerels per kilogram (mBq/kg))\nSD1_Ra_226_D_CONC_BOTTLE_zkto8n (milliBecquerels per kilogram (mBq/kg))\nFlag_Ra_226_D_CONC_BOTTLE_zkto8n (unitless)\nRa_228_D_CONC_PUMP_eokmy1 (milliBecquerels per kilogram (mBq/kg))\nSD1_Ra_228_D_CONC_PUMP_eokmy1 (milliBecquerels per kilogram (mBq/kg))\nFlag_Ra_228_D_CONC_PUMP_eokmy1 (unitless)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_825947_v4_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_825947_v4_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_825947_v4/index.htmlTable https://osprey.bco-dmo.org/dataset/825947 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_825947_v4.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_825947_v4&showErrors=false&email= BCO-DMO bcodmo_dataset_825947_v4
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_932161_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_932161_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_932161_v1/ public [GP15 Dissolved Rare Earth Elements Leg 1] - Dissolved concentrations of rare earth elements (including Y) from Leg 1 of the US GEOTRACES Pacific Meridional Transect (PMT) cruise (GP15, RR1814) on R/V Roger Revelle from September to October 2018 (US GEOTRACES Pacific Meridional Transect (GP15)) This dataset reports dissolved concentrations of rare earth elements (including Y) from Leg 1 (Seattle, WA to Hilo, HI) of the US GEOTRACES Pacific Meridional Transect (PMT) cruise (GP15, RR1814) on R/V Roger Revelle from September to October 2018 along 152 W. The data include dissolved concentrations from bottle and towed fish samples. Including the data from Leg 2 (Hilo, HI to Papeete, French Polynesia), the PMT sampled margin interactions, subarctic high nutrient low chlorophyll waters, the oldest deep water in the world's oceans, the distal ends of hydrothermal plumes (Juan de Fuca Ridge and East Pacific Rise) and oxygen minimum zones, equatorial upwelling, and oligotrophic waters in the South Pacific gyre at 20°S. The rare earth element data are pertinent for studies of removal and internal cycling of trace elements, tracing material inputs, and understanding of conservative vs non-conservative tracer distributions.\n\ncdm_data_type = Other\nVARIABLES:\nStation_ID (unitless)\nEvent_ID (unitless)\ntime (Start_iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\nStart_Date_UTC (unitless)\nStart_Time_UTC (unitless)\nlatitude (Start_latitude, degrees_north)\nlongitude (Start_longitude, degrees_east)\nRosette_Position (unitless)\nSample_ID (unitless)\ndepth (Sample_depth, m)\nY_D_CONC_BOTTLE_501nbz (picomoles per kilogram (pmol/kg))\nSD1_Y_D_CONC_BOTTLE_501nbz (picomoles per kilogram (pmol/kg))\nFlag_Y_D_CONC_BOTTLE_501nbz (unitless)\nY_D_CONC_FISH_eets1q (picomoles per kilogram (pmol/kg))\nSD1_Y_D_CONC_FISH_eets1q (picomoles per kilogram (pmol/kg))\nFlag_Y_D_CONC_FISH_eets1q (unitless)\nLa_D_CONC_BOTTLE_yzfgzr (picomoles per kilogram (pmol/kg))\nSD1_La_D_CONC_BOTTLE_yzfgzr (picomoles per kilogram (pmol/kg))\n... (82 more variables)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_932161_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_932161_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_932161_v1/index.htmlTable https://www.bco-dmo.org/dataset/932161 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_932161_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_932161_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_932161_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_932559_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_932559_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_932559_v1/ public [GP15 Dissolved Rare Earth Elements Leg 2] - Dissolved concentrations of rare earth elements (including Y) from Leg 2 (Hilo, HI to Papeete, French Polynesia) of the US GEOTRACES Pacific Meridional Transect (PMT) cruise (GP15, RR1815) on R/V Roger Revelle from October to November 2018 (US GEOTRACES Pacific Meridional Transect (GP15)) This dataset reports dissolved concentrations of rare earth elements (including Y) from Leg 2 (Hilo, HI to Papeete, French Polynesia) of the US GEOTRACES Pacific Meridional Transect (PMT) cruise (GP15, RR1815) on R/V Roger Revelle from October to November 2018 along 152 W. The data include dissolved concentrations from bottle and towed fish samples. Including the data from Leg 1 (Seattle, WA to Hilo, HI), the PMT sampled margin interactions, subarctic high nutrient low chlorophyll waters, the oldest deep water in the world's oceans, the distal ends of hydrothermal plumes (Juan de Fuca Ridge and East Pacific Rise) and oxygen minimum zones, equatorial upwelling, and oligotrophic waters in the South Pacific gyre at 20°S. The rare earth element data are pertinent for studies of removal and internal cycling of trace elements, tracing material inputs, and understanding of conservative vs non-conservative tracer distributions.\n\ncdm_data_type = Other\nVARIABLES:\nStation_ID (unitless)\nEvent_ID (unitless)\ntime (Start_iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\nStart_Date_UTC (unitless)\nStart_Time_UTC (unitless)\nlatitude (Start_latitude, degrees_north)\nlongitude (Start_longitude, degrees_east)\nRosette_Position (unitless)\nSample_ID (unitless)\ndepth (Sample_depth, m)\nY_D_CONC_BOTTLE_vbtqm7 (picomoles per kilogram (pmol/kg))\nSD1_Y_D_CONC_BOTTLE_vbtqm7 (picomoles per kilogram (pmol/kg))\nFlag_Y_D_CONC_BOTTLE_vbtqm7 (unitless)\nY_D_CONC_FISH_asoboe (picomoles per kilogram (pmol/kg))\nSD1_Y_D_CONC_FISH_asoboe (picomoles per kilogram (pmol/kg))\nFlag_Y_D_CONC_FISH_asoboe (unitless)\nLa_D_CONC_BOTTLE_19sfbu (picomoles per kilogram (pmol/kg))\nSD1_La_D_CONC_BOTTLE_19sfbu (picomoles per kilogram (pmol/kg))\n... (82 more variables)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_932559_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_932559_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_932559_v1/index.htmlTable https://www.bco-dmo.org/dataset/932559 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_932559_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_932559_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_932559_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_919783_v2 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_919783_v2.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_919783_v2/ public [GP15 Dissolved Th and Pa - Leg 1] - Dissolved thorium and protactinium isotopes (232Th, 230Th, 231Pa) in seawater from Leg 1 (Seattle, WA to Hilo, HI) of the US GEOTRACES Pacific Meridional Transect (PMT) cruise (GP15, RR1814) on R/V Roger Revelle from September to October 2018 (US GEOTRACES Pacific Meridional Transect (GP15)) This dataset contains concentrations of dissolved thorium and protactinium isotopes (232Th, 230Th, 231Pa) in seawater collected during the U.S. GEOTRACES Pacific Meridional Transect (PMT) GP15, from Alaska to Tahiti, on the R/V Roger Revelle. The PMT expedition was divided into two legs, with cruise IDs RR1814 and RR1815. This dataset results from leg 1, RR1814; data from RR1815 are available in a separate BCO-DMO dataset. This is compiled data produced by three laboratories with the following associations: Lamont-Doherty Earth Observatory of Columbia University (LDEO), the University of Southern Mississippi (USM), and the University of Minnesota (UMN).\n\ncdm_data_type = Other\nVARIABLES:\nStation_ID (unitless)\nStart_Date_UTC (unitless)\nStart_Time_UTC (unitless)\ntime (Start_iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\nEnd_Date_UTC (unitless)\nEnd_Time_UTC (unitless)\nEnd_ISO_DateTime_UTC (seconds since 1970-01-01T00:00:00Z)\nlatitude (Start_latitude, degrees_north)\nlongitude (Start_longitude, degrees_east)\nEnd_Latitude (degrees_north)\nEnd_Longitude (degrees_east)\nCast_number (unitless)\nEvent_ID (unitless)\nSample_ID (unitless)\ndepth (Sample_depth, m)\nLab_ID (unitless)\nBottle_ID (unitless)\nTh_230_D_CONC_BOTTLE_m5ivgp (micro-Becquerel per kilogram water (uBq/kg))\nSD1_Th_230_D_CONC_BOTTLE_m5ivgp (micro-Becquerel per kilogram water (uBq/kg))\nFlag_Th_230_D_CONC_BOTTLE_m5ivgp (unitless)\nTh_232_D_CONC_BOTTLE_vwrb8w (picomole per kilogram water (pmol/kg))\n... (26 more variables)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_919783_v2_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_919783_v2_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_919783_v2/index.htmlTable https://osprey.bco-dmo.org/dataset/919783 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_919783_v2.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_919783_v2&showErrors=false&email= BCO-DMO bcodmo_dataset_919783_v2
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_920078_v3 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_920078_v3.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_920078_v3/ public [GP15 Dissolved Th and Pa - Leg 2] - Dissolved thorium and protactinium isotopes (232Th, 230Th, 231Pa) in seawater from Leg 2 (Hilo, HI to Papeete, French Polynesia) of the US GEOTRACES Pacific Meridional Transect (PMT) cruise (GP15, RR1815) on R/V Roger Revelle from Oct-Nov 2018 (US GEOTRACES Pacific Meridional Transect (GP15)) This dataset contains concentrations of dissolved thorium and protactinium isotopes (232Th, 230Th, 231Pa) in seawater collected during the U.S. GEOTRACES Pacific Meridional Transect (PMT) GP15, from Alaska to Tahiti, on the R/V Roger Revelle. The PMT expedition was divided into two legs, with cruise IDs RR1814 and RR1815. This dataset results from leg 2, RR1815; data from RR1814 are available in a separate BCO-DMO dataset. This is compiled data produced by three laboratories with the following associations: Lamont-Doherty Earth Observatory of Columbia University (LDEO), the University of Southern Mississippi (USM), and the University of Minnesota (UMN).\n\ncdm_data_type = Other\nVARIABLES:\nStation_ID (unitless)\nStart_Date_UTC (unitless)\nStart_Time_UTC (unitless)\ntime (Start_iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\nEnd_Date_UTC (unitless)\nEnd_Time_UTC (unitless)\nEnd_ISO_DateTime_UTC (seconds since 1970-01-01T00:00:00Z)\nlatitude (Start_latitude, degrees_north)\nlongitude (Start_longitude, degrees_east)\nEnd_Latitude (degrees_north)\nEnd_Longitude (degrees_east)\nCast_number (unitless)\nEvent_ID (unitless)\nSample_ID (unitless)\ndepth (Sample_depth, m)\nLab_ID (unitless)\nBottle_ID (unitless)\nTh_230_D_CONC_BOTTLE_aajvje (micro-Becquerel per kilogram water (uBq/kg))\nSD1_Th_230_D_CONC_BOTTLE_aajvje (micro-Becquerel per kilogram water (uBq/kg))\nFlag_Th_230_D_CONC_BOTTLE_aajvje (unitless)\nTh_232_D_CONC_BOTTLE_mj1tw8 (picomole per kilogram water (pmol/kg))\n... (26 more variables)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_920078_v3_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_920078_v3_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_920078_v3/index.htmlTable https://osprey.bco-dmo.org/dataset/920078 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_920078_v3.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_920078_v3&showErrors=false&email= BCO-DMO bcodmo_dataset_920078_v3
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_877873_v2 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_877873_v2.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_877873_v2/ public [GP15 Heavy Noble Gas Concentrations Leg 1] - Concentrations of dissolved argon, krypton, and xenon from Niskin bottle samples collected on Leg 1 (Seattle, WA to Hilo, HI) of the US GEOTRACES Pacific Meridional Transect (PMT) cruise (GP15, RR1814) on R/V Roger Revelle from Sept-Oct 2018 (US GEOTRACES Pacific Meridional Transect (GP15)) This dataset includes concentrations of dissolved argon (Ar), krypton (Kr), and xenon (Xe) from Niskin bottle samples on Leg 1 (Seattle, WA to Hilo, HI) of the US GEOTRACES Pacific Meridional Transect (PMT) cruise (GP15, RR1814) on R/V Roger Revelle from September to October 2018.\n\ncdm_data_type = Other\nVARIABLES:\nStation_ID (unitless)\nDATE (unitless)\ntime_unitless (Time, unitless)\nlatitude (Start_latitude, degrees_north)\nlongitude (Start_longitude, degrees_east)\nCast_number (unitless)\nSAMPNO (unitless)\nGEOTRC_EVENTNO (unitless)\nGEOTRC_SAMPNO (unitless)\ndepth (Sample_depth, m)\nKr_D_CONC_BOTTLE_bvbdxg (nanomoles per kilogram (nmol/kg))\nSD1_Kr_D_CONC_BOTTLE_bvbdxg (nanomoles per kilogram (nmol/kg))\nFlag_Kr_D_CONC_BOTTLE_bvbdxg (unitless)\nAr_D_CONC_BOTTLE_qphaf3 (micromoles per kilogram (umol/kg))\nSD1_Ar_D_CONC_BOTTLE_qphaf3 (micromoles per kilogram (umol/kg))\nFlag_Ar_D_CONC_BOTTLE_qphaf3 (unitless)\nXe_D_CONC_BOTTLE_2idk2h (nanomoles per kilogram (nmol/kg))\nSD1_Xe_D_CONC_BOTTLE_2idk2h (nanomoles per kilogram (nmol/kg))\nFlag_Xe_D_CONC_BOTTLE_2idk2h (unitless)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_877873_v2_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_877873_v2_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_877873_v2/index.htmlTable https://osprey.bco-dmo.org/dataset/877873 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_877873_v2.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_877873_v2&showErrors=false&email= BCO-DMO bcodmo_dataset_877873_v2
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_877899_v2 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_877899_v2.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_877899_v2/ public [GP15 Heavy Noble Gas Concentrations Leg 2] - Concentrations of dissolved argon, krypton, and xenon from Niskin bottle samples collected on Leg 2 (Hilo, HI to Papeete, French Polynesia) of the US GEOTRACES Pacific Meridional Transect (PMT) cruise (GP15, RR1815) on R/V Roger Revelle from Oct-Nov 2018 (US GEOTRACES Pacific Meridional Transect (GP15)) This dataset includes concentrations of dissolved argon (Ar), krypton (Kr), and xenon (Xe) from Niskin bottle samples collected on Leg 2 (Hilo, HI to Papeete, French Polynesia) of the US GEOTRACES Pacific Meridional Transect (PMT) cruise (GP15, RR1815) on R/V Roger Revelle from October to November 2018.\n\ncdm_data_type = Other\nVARIABLES:\nStation_ID (unitless)\nDATE (unitless)\ntime_unitless (Time, unitless)\nlatitude (Start_latitude, degrees_north)\nlongitude (Start_longitude, degrees_east)\nCast_number (unitless)\nSAMPNO (unitless)\nGEOTRC_EVENTNO (unitless)\nGEOTRC_SAMPNO (unitless)\ndepth (Sample_depth, m)\nKr_D_CONC_BOTTLE_uo0lmf (nanomoles per kilogram (nmol/kg))\nSD1_Kr_D_CONC_BOTTLE_uo0lmf (nanomoles per kilogram (nmol/kg))\nFlag_Kr_D_CONC_BOTTLE_uo0lmf (unitless)\nAr_D_CONC_BOTTLE_unjql9 (micromoles per kilogram (umol/kg))\nSD1_Ar_D_CONC_BOTTLE_unjql9 (micromoles per kilogram (umol/kg))\nFlag_Ar_D_CONC_BOTTLE_unjql9 (unitless)\nXe_D_CONC_BOTTLE_xoirom (nanomoles per kilogram (nmol/kg))\nSD1_Xe_D_CONC_BOTTLE_xoirom (nanomoles per kilogram (nmol/kg))\nFlag_Xe_D_CONC_BOTTLE_xoirom (unitless)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_877899_v2_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_877899_v2_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_877899_v2/index.htmlTable https://osprey.bco-dmo.org/dataset/877899 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_877899_v2.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_877899_v2&showErrors=false&email= BCO-DMO bcodmo_dataset_877899_v2
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_914655_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_914655_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_914655_v1/ public [GP15 HPLC pigments Leg 1] - Pigment concentrations determined by HPLC from samples collected on Leg 1 (Seattle, WA to Hilo, HI) of the US GEOTRACES Pacific Meridional Transect (PMT) cruise (GP15, RR1814) on R/V Roger Revelle from September to October 2018 (US GEOTRACES Pacific Meridional Transect (GP15)) This dataset contains high-performance liquid chromatography (HPLC) pigment data (19But, 19Hex, Allo, β Car, α Car, Chl a, Chl b, Chlc 1,2, Chl c 3, Cphlid, Diadino, Diato, Fuco, Lut, Neo, Peri, Prasino, Viola, Zea) from the U.S. GEOTRACES GP15 Pacific Meridional Transect from Alaska (56°M) to Tahiti (20°S) along 152°W between September 24, 2018 and November 24, 2018. Samples for pigment analysis were collected at 6 depths at every major station (N=23 stations) and filtered onto GF/F filters, which were frozen at -80°C until analysis at the HPLC Facility at Oregon State University managed by Ricardo Letelier (https://ceoas.oregonstate.edu/ocean-ecology-and-biogeochemistry-facilities). Samples were extracted and analyzed on a Waters 996 absorbance photodiode array detector in combination with a Waters 2475 fluorescence detector in September 2019.\n\nThese data were collected by the GP15 management team to provide biological context for the geochemical measurements made by GEOTRACES PIs. This dataset contains the data from Leg 1 of the cruise (RR1814), from Seattle, Washington, USA to Hilo, Hawaii, USA. Leg 2 data are provided in a separate dataset (see 'Related Datasets' section of metadata).\n\ncdm_data_type = Other\nVARIABLES:\nStart_Date_UTC (unitless)\nEvent_ID (unitless)\nSample_ID (unitless)\nNiskin (unitless)\ndepth (Sample_depth, m)\nStation_ID (unitless)\nCast_number (unitless)\nStart_Latitude (degrees_north)\nlongitude (Start_longitude, degrees_east)\nBut_fuco_HPLC_TP_CONC_BOTTLE_dnax4l (nanograms per liter (ng/L))\nHex_fuco_HPLC_TP_CONC_BOTTLE_aeqqpa (nanograms per liter (ng/L))\nAllo_HPLC_TP_CONC_BOTTLE_n3dfmg (nanograms per liter (ng/L))\nBeta_Car_HPLC_TP_CONC_BOTTLE_weksrk (nanograms per liter (ng/L))\nAlpha_Car_HPLC_TP_CONC_BOTTLE_kc31kx (nanograms per liter (ng/L))\n... (14 more variables)\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_914655_v1/index.htmlTable https://www.bco-dmo.org/dataset/914655 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_914655_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_914655_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_914655_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_914845_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_914845_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_914845_v1/ public [GP15 HPLC pigments Leg 2] - Pigment concentrations determined by HPLC from samples collected on Leg 2 (Hilo, HI to Papeete, French Polynesia) of the US GEOTRACES Pacific Meridional Transect (PMT) cruise (GP15, RR1815) on R/V Roger Revelle from Oct-Nov 2018 (US GEOTRACES Pacific Meridional Transect (GP15)) This dataset contains high-performance liquid chromatography (HPLC) pigment data (19But, 19Hex, Allo, β Car, α Car, Chl a, Chl b, Chlc 1,2, Chl c 3, Cphlid, Diadino, Diato, Fuco, Lut, Neo, Peri, Prasino, Viola, Zea) from the U.S. GEOTRACES GP15 Pacific Meridional Transect from Alaska (56°M) to Tahiti (20°S) along 152°W between September 24, 2018 and November 24, 2018. Samples for pigment analysis were collected at 6 depths at every major station (N=23 stations) and filtered onto GF/F filters, which were frozen at -80°C until analysis at the HPLC Facility at Oregon State University managed by Ricardo Letelier (https://ceoas.oregonstate.edu/ocean-ecology-and-biogeochemistry-facilities). Samples were extracted and analyzed on a Waters 996 absorbance photodiode array detector in combination with a Waters 2475 fluorescence detector in September 2019.\n\nThese data were collected by the GP15 management team to provide biological context for the geochemical measurements made by GEOTRACES PIs. This dataset contains the data from Leg 1 of the cruise (RR1815), from Hilo, Hawaii, USA to Papeete, French Polynesia. Leg 1 data are provided in a separate dataset (see 'Related Datasets' section of metadata).\n\ncdm_data_type = Other\nVARIABLES:\nStart_Date_UTC (unitless)\nEvent_ID (unitless)\nSample_ID (unitless)\nNiskin (unitless)\ndepth (Sample_depth, m)\nStation_ID (unitless)\nCast_number (unitless)\nStart_Latitude (degrees_north)\nlongitude (Start_longitude, degrees_east)\nBut_fuco_HPLC_TP_CONC_BOTTLE_myzyux (nanograms per liter (ng/L))\nHex_fuco_HPLC_TP_CONC_BOTTLE_tlemch (nanograms per liter (ng/L))\nAllo_HPLC_TP_CONC_BOTTLE_2aonag (nanograms per liter (ng/L))\nBeta_Car_HPLC_TP_CONC_BOTTLE_ad2mxm (nanograms per liter (ng/L))\nAlpha_Car_HPLC_TP_CONC_BOTTLE_rcv9le (nanograms per liter (ng/L))\n... (14 more variables)\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_914845_v1/index.htmlTable https://www.bco-dmo.org/dataset/914845 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_914845_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_914845_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_914845_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_873183_v3 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_873183_v3.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_873183_v3/ public [GP15 Inert Copper and Iodine Redox Speciation Leg 1] - Inert copper and inorganic iodine concentrations from Leg 1 (Seattle, WA to Hilo, HI) of the US GEOTRACES Pacific Meridional Transect (PMT) cruise (GP15, RR1814) on R/V Roger Revelle from September to October 2018 (US GEOTRACES Pacific Meridional Transect (GP15)) This dataset includes inert copper and inorganic iodine concentrations from Leg 1 (Seattle, WA to Hilo, HI) of the US GEOTRACES Pacific Meridional Transect (PMT) cruise (GP15, RR1814), which took place on R/V Roger Revelle from September to October 2018. Iodate was analyzed on UV-Vis Spectrophotometer while Iodide was analyzed on the Hanging Mercury Drop Electrode with the Cathodic Square Wave Stripping Voltammetry setting. Inert copper was determined by Rintaro Moriyasu using the solvent extraction method published in Moriyasu & Moffett, 2022 (doi: 10.1016/j.marchem.2021.104073).\n\ncdm_data_type = Other\nVARIABLES:\nStation_ID (unitless)\nStart_Date_UTC (unitless)\nStart_Time_UTC (unitless)\ntime (Start_iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\nEnd_Date_UTC (unitless)\nEnd_Time_UTC (unitless)\nEnd_ISO_DateTime_UTC (seconds since 1970-01-01T00:00:00Z)\nlatitude (Start_latitude, degrees_north)\nlongitude (Start_longitude, degrees_east)\nEnd_Latitude (degrees_north)\nEnd_Longitude (degrees_east)\nCast_number (unitless)\nEvent_ID (unitless)\nSample_ID (unitless)\ndepth (Sample_depth, m)\nL1Cu_D_CONC_BOTTLE_ypaxln (nanomoles per kilogram (nmol/kg))\nSD1_L1Cu_D_CONC_BOTTLE_ypaxln (nanomoles per kilogram (nmol/kg))\nFlag_L1Cu_D_CONC_BOTTLE_ypaxln (unitless)\nI_neg1_D_CONC_BOTTLE_byhuiw (nanomoles per liter (nmol/L))\nSD1_I_neg1_D_CONC_BOTTLE_byhuiw (nanomoles per liter (nmol/L))\nFlag_I_neg1_D_CONC_BOTTLE_byhuiw (unitless)\nI_V_D_CONC_BOTTLE_qlcfpy (nanomoles per liter (nmol/L))\nSD1_I_V_D_CONC_BOTTLE_qlcfpy (nanomoles per liter (nmol/L))\nFlag_I_V_D_CONC_BOTTLE_qlcfpy (unitless)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_873183_v3_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_873183_v3_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_873183_v3/index.htmlTable https://osprey.bco-dmo.org/dataset/873183 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_873183_v3.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_873183_v3&showErrors=false&email= BCO-DMO bcodmo_dataset_873183_v3
log in [GP15 Inert Copper and Iodine Redox Speciation Leg 2] - Inert copper and inorganic iodine concentrations from Leg 2 (Hilo, HI to Papeete, French Polynesia) of the US GEOTRACES PMT cruise (GP15, RR1815) on R/V Roger Revelle from Oct-Nov 2018 (US GEOTRACES Pacific Meridional Transect (GP15)) This dataset includes inert copper and inorganic iodine concentrations from Leg 2 (Hilo, HI to Papeete, French Polynesia) of the US GEOTRACES PMT cruise (GP15, RR1815), which was conducted on R/V Roger Revelle from October to November 2018. Iodate was analyzed on UV-Vis Spectrophotometer while Iodide was analyzed on the Hanging Mercury Drop Electrode with the Cathodic Square Wave Stripping Voltammetry setting. Inert copper was determined by Rintaro Moriyasu using the solvent extraction method published in Moriyasu & Moffett, 2022 (doi: 10.1016/j.marchem.2021.104073).\n\ncdm_data_type = Other\nVARIABLES:\nStation_ID (unitless)\nStart_Date_UTC (unitless)\nStart_Time_UTC (unitless)\ntime (Start_iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\nEnd_Date_UTC (unitless)\nEnd_Time_UTC (unitless)\nEnd_ISO_DateTime_UTC (seconds since 1970-01-01T00:00:00Z)\nlatitude (Start_latitude, degrees_north)\nlongitude (Start_longitude, degrees_east)\nEnd_Latitude (degrees_north)\nEnd_Longitude (degrees_east)\nCast_number (unitless)\nEvent_ID (unitless)\nSample_ID (unitless)\ndepth (Sample_depth, m)\nL1Cu_D_CONC_BOTTLE_ypaxln (nanomoles per kilogram (nmol/kg))\nSD1_L1Cu_D_CONC_BOTTLE_ypaxln (nanomoles per kilogram (nmol/kg))\nFlag_L1Cu_D_CONC_BOTTLE_ypaxln (unitless)\nI_neg1_D_CONC_BOTTLE_udxopu (nanomoles per liter (nmol/L))\nSD1_I_neg1_D_CONC_BOTTLE_udxopu (nanomoles per liter (nmol/L))\nFlag_I_neg1_D_CONC_BOTTLE_udxopu (unitless)\nI_V_D_CONC_BOTTLE_x9ogsn (nanomoles per liter (nmol/L))\nSD1_I_V_D_CONC_BOTTLE_x9ogsn (nanomoles per liter (nmol/L))\nFlag_I_V_D_CONC_BOTTLE_x9ogsn (unitless)\n BCO-DMO bcodmo_dataset_873193_v3
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_929884_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_929884_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_929884_v1/ public [GP15 Iron Ligands in Particles] - Iron ligand concentration in particles (1-51 μm) analyzed by liquid chromatography-mass spectrometry from samples collected on the US GEOTRACES Pacific Meridional Transect (PMT) cruise RR1814 (GP15) on R/V Roger Revelle in October 2018 (Trace Element Organic Speciation along the US GEOTRACES Pacific Meridional Transect) This dataset includes iron ligand concentration in particles (1-51 μm) analyzed by liquid chromatography-mass spectrometry. Samples were collected on the US GEOTRACES Pacific Meridional Transect (PMT) cruises (GP15, RR1814 & RR1815) on R/V Roger Revelle from September to November 2018.\n\ncdm_data_type = Other\nVARIABLES:\nSample (unitless)\nStation (unitless)\nLat (degrees_north)\nlongitude (degrees_east)\ndepth (m)\nFerrioxamine_G (picomolar (pM))\ntime (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_929884_v1/index.htmlTable https://www.bco-dmo.org/dataset/929884 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_929884_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_929884_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_929884_v1
log in [GP15 Iron Ligands] - Iron ligand speciation profiles analyzed by liquid chromatography-mass spectrometry from samples collected on the US GEOTRACES Pacific Meridional Transect (PMT) cruises (GP15, RR1814 & RR1815) on R/V Roger Revelle from September to November 2018 (US GEOTRACES Pacific Meridional Transect (GP15)) This dataset includes iron ligand speciation profiles analyzed by liquid chromatography-mass spectrometry. Samples were collected on the US GEOTRACES Pacific Meridional Transect (PMT) cruises (GP15, RR1814 & RR1815) on R/V Roger Revelle from September to November 2018.\n\ncdm_data_type = Other\nVARIABLES:\nStation (unitless)\nGEOTRACES_ID (unitless)\nFeSiderophores_56_DSPEENV_CONC_BOTTLE (pmole/liter)\nFePolarligandA_56_DSPEENV_CONC_BOTTLE (pmole/liter)\nFlag_FePolarligandA_56_DSPEENV_CONC_BOTTLE (unitless)\nFePolarligandB_56_DSPEENV_CONC_BOTTLE (pmole/liter)\nFlag_FePolarligandB_56_DSPEENV_CONC_BOTTLE (unitless)\nFePolarligandC_56_DSPEENV_CONC_BOTTLE (pmole/liter)\nFlag_FePolarligandC_56_DSPEENV_CONC_BOTTLE (unitless)\nFePolarligandD_56_DSPEENV_CONC_BOTTLE (pmole/liter)\nFlag_FePolarligandD_56_DSPEENV_CONC_BOTTLE (unitless)\nFePolarligandE_56_DSPEENV_CONC_BOTTLE (pmole/liter)\nFlag_FePolarligandE_56_DSPEENV_CONC_BOTTLE (unitless)\nFeMarinobactinA_56_DSPEENV_CONC_BOTTLE (pmole/liter)\nFlag_FeMarinobactinA_56_DSPEENV_CONC_BOTTLE (unitless)\nFeMarinobactinB_56_DSPEENV_CONC_BOTTLE (pmole/liter)\nFlag_FeMarinobactinB_56_DSPEENV_CONC_BOTTLE (unitless)\nFeMarinobactinC_56_DSPEENV_CONC_BOTTLE (pmole/liter)\nFlag_FeMarinobactinC_56_DSPEENV_CONC_BOTTLE (unitless)\nFeMarinobactinD_56_DSPEENV_CONC_BOTTLE (pmole/liter)\nFlag_FeMarinobactinD_56_DSPEENV_CONC_BOTTLE (unitless)\nFeMarinobactinE_56_DSPEENV_CONC_BOTTLE (pmole/liter)\nFlag_FeMarinobactinE_56_DSPEENV_CONC_BOTTLE (unitless)\n BCO-DMO bcodmo_dataset_875210_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_929937_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_929937_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_929937_v1/ public [GP15 Nd isotopes Leg 1] - Neodymium (Nd) isotopes measured from dissolved seawater on Leg 1 (Seattle, WA to Hilo, HI) of the US GEOTRACES Pacific Meridional Transect (PMT) cruise (GP15, RR1814) on R/V Roger Revelle from September to October 2018 (US GEOTRACES Pacific Meridional Transect (GP15)) The goal of the international GEOTRACES program is to understand the distributions of trace chemical elements and their isotopes in the oceans. Neodymium (Nd) isotopes are widely recognized for their utility as tracers of water transport and as indicators of the sources of trace elements to the oceans. Neodymium isotopes have been designated as \"key parameters\" to be measured on GEOTRACES expeditions. The data here represent Nd isotopes measured from dissolved seawater on the GP15 GEOTRACES expedition in the Pacific Ocean. The North Pacific is a particularly interesting place to measure Nd isotopes because North Pacific and North Atlantic deep waters represent the two end-members of deep ocean composition, and the few data available so far in the North Pacific differ from expectations based on mixing of known water types. These data are dissolved Nd isotopes measured in profiles at stations on the first leg of the cruise, RR1814.\n\ncdm_data_type = Other\nVARIABLES:\nStation_ID (unitless)\nEvent_ID (unitless)\nStart_Date_UTC (unitless)\nStart_Time_UTC (unitless)\ntime (Start_iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\nEnd_Date_UTC (unitless)\nEnd_Time_UTC (unitless)\nEnd_ISO_DateTime_UTC (seconds since 1970-01-01T00:00:00Z)\nlatitude (Start_latitude, degrees_north)\nlongitude (Start_longitude, degrees_east)\nSample_ID (unitless)\ndepth (Sample_depth, m)\nNd_143_144_D_EPSILON_BOTTLE_iljaq8 (epsilon notation (parts per 10,000))\nSD1_Nd_143_144_D_EPSILON_BOTTLE_iljaq8 (epsilon notation (parts per 10,000))\nFlag_Nd_143_144_D_EPSILON_BOTTLE_iljaq8 (unitless)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_929937_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_929937_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_929937_v1/index.htmlTable https://osprey.bco-dmo.org/dataset/929937 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_929937_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_929937_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_929937_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_929950_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_929950_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_929950_v1/ public [GP15 Nd isotopes Leg 2] - Neodymium (Nd) isotopes measured from dissolved seawater on Leg 2 (Hilo, HI to Papeete, French Polynesia) of the US GEOTRACES Pacific Meridional Transect (PMT) cruise (GP15, RR1815) on R/V Roger Revelle from October to November 2018 (US GEOTRACES Pacific Meridional Transect (GP15)) The goal of the international GEOTRACES program is to understand the distributions of trace chemical elements and their isotopes in the oceans. Neodymium (Nd) isotopes are widely recognized for their utility as tracers of water transport and as indicators of the sources of trace elements to the oceans. Neodymium isotopes have been designated as \"key parameters\" to be measured on GEOTRACES expeditions. The data here represent Nd isotopes measured from dissolved seawater on the GP15 GEOTRACES expedition in the Pacific Ocean. The North Pacific is a particularly interesting place to measure Nd isotopes because North Pacific and North Atlantic deep waters represent the two end-members of deep ocean composition, and the few data available so far in the North Pacific differ from expectations based on mixing of known water types. These data are dissolved Nd isotopes measured in profiles at stations on the second leg of the cruise, RR1815.\n\ncdm_data_type = Other\nVARIABLES:\nStation_ID (unitless)\nEvent_ID (unitless)\nStart_Date_UTC (unitless)\nStart_Time_UTC (unitless)\ntime (Start_iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\nEnd_Date_UTC (unitless)\nEnd_Time_UTC (unitless)\nEnd_ISO_DateTime_UTC (seconds since 1970-01-01T00:00:00Z)\nlatitude (Start_latitude, degrees_north)\nlongitude (Start_longitude, degrees_east)\nSample_ID (unitless)\ndepth (Sample_depth, m)\nNd_143_144_D_EPSILON_BOTTLE_x2epvg (epsilon notation (parts per 10,000))\nSD1_Nd_143_144_D_EPSILON_BOTTLE_x2epvg (epsilon notation (parts per 10,000))\nFlag_Nd_143_144_D_EPSILON_BOTTLE_x2epvg (unitless)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_929950_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_929950_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_929950_v1/index.htmlTable https://osprey.bco-dmo.org/dataset/929950 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_929950_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_929950_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_929950_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_928002_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_928002_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_928002_v1/ public [GP15 Nitrate d15N and d18O Leg 1] - Nitrate d15N and d18O from Niskin bottle samples collected on Leg 1 (Seattle, WA to Hilo, HI) of the US GEOTRACES Pacific Meridional Transect (PMT) cruise (GP15, RR1814) on R/V Roger Revelle from September to October 2018 (US GEOTRACES Pacific Meridional Transect (GP15)) These data include nitrate δ15N and δ18O along US GEOTRACES GP15, a meridional transect at ~152°W in the Pacific Ocean. The Pacific hosts significant rates of all the fluxes that are relevant to the global N cycle: the N budget fluxes (those that either generate or consume fixed N; N2 fixation and denitrification) as well as the N fluxes from the internal N cycle (those that generate or consume nitrate but leave the fixed N pool unaltered; nitrate regeneration and assimilation). The nitrate δ15N and δ18O provide a useful tool to separate and possibly quantify the overlapping impacts of all these co-occurring processes. \n\nGP15 was a 60-day research cruise that took place in 2018 along a transect form Alaska to Tahiti at 152° W on board of the R/V Revelle. The cruise was completed in two legs (RR1814 and RR1815), which started on the 18th of September and on the 24th of October 2018, respectively. This dataset includes data from Leg 1 (RR1814). Leg 2 data (RR1815) are provided in a separate, related dataset.\n\ncdm_data_type = Other\nVARIABLES:\nStation_ID (unitless)\nEvent_ID (unitless)\nStart_Date_UTC (unitless)\nStart_Time_UTC (unitless)\ntime (Start_iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\nEnd_Date_UTC (unitless)\nEnd_Time_UTC (unitless)\nEnd_ISO_DateTime_UTC (seconds since 1970-01-01T00:00:00Z)\nlatitude (Start_latitude, degrees_north)\nlongitude (Start_longitude, degrees_east)\nEnd_Latitude (degrees_north)\nEnd_Longitude (degrees_east)\nSample_ID (unitless)\ndepth (Sample_depth, m)\nNITRATE_15_14_D_DELTA_BOTTLE_lnw6zq (per mil versus air)\nSD1_NITRATE_15_14_D_DELTA_BOTTLE_lnw6zq (per mil versus air)\n... (5 more variables)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_928002_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_928002_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_928002_v1/index.htmlTable https://www.bco-dmo.org/dataset/928002 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_928002_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_928002_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_928002_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_928099_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_928099_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_928099_v1/ public [GP15 Nitrate d15N and d18O Leg 2] - Nitrate d15N and d18O from Niskin bottle samples collected on Leg 2 (Hilo, HI to Papeete, French Polynesia) of the US GEOTRACES Pacific Meridional Transect (PMT) cruise (GP15, RR1815) on R/V Roger Revelle from October to November 2018 (US GEOTRACES Pacific Meridional Transect (GP15)) These data include nitrate δ15N and δ18O along US GEOTRACES GP15, a meridional transect at ~152°W in the Pacific Ocean. The Pacific hosts significant rates of all the fluxes that are relevant to the global N cycle: the N budget fluxes (those that either generate or consume fixed N; N2 fixation and denitrification) as well as the N fluxes from the internal N cycle (those that generate or consume nitrate but leave the fixed N pool unaltered; nitrate regeneration and assimilation). The nitrate δ15N and δ18O provide a useful tool to separate and possibly quantify the overlapping impacts of all these co-occurring processes. \n\nGP15 was a 60-day research cruise that took place in 2018 along a transect form Alaska to Tahiti at 152° W on board of the R/V Revelle. The cruise was completed in two legs (RR1814 and RR1815), which started on the 18th of September and on the 24th of October 2018, respectively. This dataset includes data from Leg 2 (RR1815). Leg 1 data (RR1814) are provided in a separate, related dataset.\n\ncdm_data_type = Other\nVARIABLES:\nStation_ID (unitless)\nEvent_ID (unitless)\nStart_Date_UTC (unitless)\nStart_Time_UTC (unitless)\ntime (Start_iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\nEnd_Date_UTC (unitless)\nEnd_Time_UTC (unitless)\nEnd_ISO_DateTime_UTC (seconds since 1970-01-01T00:00:00Z)\nlatitude (Start_latitude, degrees_north)\nlongitude (Start_longitude, degrees_east)\nEnd_Latitude (degrees_north)\nEnd_Longitude (degrees_east)\nSample_ID (unitless)\ndepth (Sample_depth, m)\nNITRATE_15_14_D_DELTA_BOTTLE_w2kmnp (per mil versus air)\nSD1_NITRATE_15_14_D_DELTA_BOTTLE_w2kmnp (per mil versus air)\n... (5 more variables)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_928099_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_928099_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_928099_v1/index.htmlTable https://www.bco-dmo.org/dataset/928099 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_928099_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_928099_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_928099_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_941463_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_941463_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_941463_v1/ public [GP15 Particle birefringence photon yield and particle beam attenuation coefficient derived from McLane logging CTD] - Particle birefringence photon yield and particle beam attenuation coefficient derived from a logging CTD deployed during McLane Pump casts on the US GEOTRACES Pacific Meridional Transect (PMT) cruise (GP15) on R/V Roger Revelle from Sept-Nov 2018 (US GEOTRACES Pacific Meridional Transect (GP15)) This data set was derived from a logging CTD deployed during McLane Pump casts as part of the GEOTRACES Pacific Meridional Transect (GP15 expedition). There are several related data files provided. The primary data files include: (1) data for the 0-500 meters (m) depth interval, including measures of particle birefringence photon yield (units of parts per million per meter) and particle beam attenuation coefficient (units of per meter); and (2) 0-500 m McLane optics profiles data by broken down by specific cast number and deployment phase. Supplemental files include data for the full depth of the water column (6000 meters) and CTD data used in the reduction of optical birefringence yield and for the calculation of particle beam attenuation coefficient.\n\ncdm_data_type = Other\nVARIABLES:\nstation (unitless)\nlatitude (degrees_north)\nlongitude (Long, degrees_east)\njdays (unitless)\ntime (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\ntrack_km (kilometers (km))\nPPZ_depth (m)\ndepth (m)\ndepth_n (unitless)\npress (decibars (db))\ntemp (degrees Celsius)\ntemp_sd (degrees Celsius)\nsal (practical salinity units (PSU))\nsal_sd (practical salinity units (PSU))\npic011Biref_av (parts per million per meter (ppm m-1))\npic011Biref_av_sd (parts per million per meter (ppm m-1))\npic011Biref_av_n (unitless)\ncp1450_av (parts per million per meter (ppm m-1))\ncp1450_av_sd (parts per million per meter (ppm m-1))\n... (7 more variables)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_941463_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_941463_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_941463_v1/index.htmlTable https://www.bco-dmo.org/dataset/941463 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_941463_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_941463_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_941463_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_954271_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_954271_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_954271_v1/ public [GP15 Particulate Thorium and Protactinium Leg 1] - Size-fractionated particulate thorium and protactinium isotopes in seawater from Leg 1 (Seattle, WA to Hilo, HI) of the US GEOTRACES Pacific Meridional Transect (PMT) cruise (GP15, RR1814) on R/V Roger Revelle from September to October 2018 (US GEOTRACES Pacific Meridional Transect (GP15)) This dataset contains concentrations of size-fractionated particulate thorium and protactinium isotopes (Th-232, Th-230, Pa-231) in seawater collected during the U.S. GEOTRACES Pacific Meridional Transect GP15; Alaska to Tahiti) on the Roger Revelle (RR1814 and RR1815) from 18 September – 24 November 2018. This is compiled data produced by three laboratories with the following associations: Lamont-Doherty Earth Observatory of Columbia University (LDEO), the University of Southern Mississippi (USM), and the University of Minnesota (UMN). A report will be submitted for review by the International GEOTRACES Standards and Intercalibration (S&I) Committee. This dataset contains data from Leg 1 of the expedition (RR1814). Data from leg 2 are available in a separate BCO-DMO dataset.\n\ncdm_data_type = Other\nVARIABLES:\nCruise_ID (unitless)\nStation_ID (unitless)\nCast_ID (unitless)\nEvent_ID (unitless)\nGear_ID (unitless)\nStart_Date_UTC (unitless)\nStart_Time_UTC (unitless)\ntime (Start_iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\nlatitude (Start_latitude, degrees_north)\nlongitude (Start_longitude, degrees_east)\nSample_ID (unitless)\nLab_ID_SPT (unitless)\nLab_ID_LPT (unitless)\ndepth (Sample_depth, m)\nSample_Depth_Flag (unitless)\nTh_232_SPT_CONC_PUMP_zuir1n (picomoles per kilogram (pmol/kg))\nSD1_Th_232_SPT_CONC_PUMP_zuir1n (picomoles per kilogram (pmol/kg))\nFlag_Th_232_SPT_CONC_PUMP_zuir1n (unitless)\nTh_230_SPT_CONC_PUMP_jit90a (micro-Becquerel per kilogram (uBq/kg))\n... (38 more variables)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_954271_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_954271_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_954271_v1/index.htmlTable https://osprey.bco-dmo.org/dataset/954271 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_954271_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_954271_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_954271_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_954626_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_954626_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_954626_v1/ public [GP15 Particulate Thorium and Protactinium Leg 2] - Size-fractionated particulate thorium and protactinium isotopes in seawater from Leg 2 (Hilo, HI to Papeete, French Polynesia) of the US GEOTRACES Pacific Meridional Transect (PMT) cruise (GP15, RR1815) on R/V Roger Revelle from Oct-Nov 2018 (US GEOTRACES Pacific Meridional Transect (GP15)) This dataset contains concentrations of size-fractionated particulate thorium and protactinium isotopes (Th-232, Th-230, Pa-231) in seawater collected during the U.S. GEOTRACES Pacific Meridional Transect GP15; Alaska to Tahiti) on the Roger Revelle (RR1814 and RR1815) from 18 September – 24 November 2018. This is compiled data produced by three laboratories with the following associations: Lamont-Doherty Earth Observatory of Columbia University (LDEO), the University of Southern Mississippi (USM) and the University of Minnesota (UMN). A report will be submitted for review by the International GEOTRACES Standards and Intercalibration (S&I) Committee. This dataset contains data from Leg 2 of the expedition (RR1815). Data from leg 1 are available in a separate BCO-DMO dataset.\n\ncdm_data_type = Other\nVARIABLES:\nCruise_ID (unitless)\nStation_ID (unitless)\nCast_ID (unitless)\nEvent_ID (unitless)\nGear_ID (unitless)\nStart_Date_UTC (unitless)\nStart_Time_UTC (unitless)\ntime (Start_iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\nlatitude (Start_latitude, degrees_north)\nlongitude (Start_longitude, degrees_east)\nSample_ID (unitless)\nLab_ID_SPT (unitless)\nLab_ID_LPT (unitless)\ndepth (Sample_depth, m)\nSample_Depth_Flag (unitless)\nTh_232_SPT_CONC_PUMP_lpmi1m (picomoles per kilogram (pmol/kg))\nSD1_Th_232_SPT_CONC_PUMP_lpmi1m (picomoles per kilogram (pmol/kg))\nFlag_Th_232_SPT_CONC_PUMP_lpmi1m (unitless)\nTh_230_SPT_CONC_PUMP_29jynq (micro-Becquerel per kilogram (uBq/kg))\n... (38 more variables)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_954626_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_954626_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_954626_v1/index.htmlTable https://osprey.bco-dmo.org/dataset/954626 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_954626_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_954626_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_954626_v1
log in [GP15 Pb and Pb Isotopes Leg 1] - Lead (Pb) concentrations and Pb isotope ratios (206Pb/207Pb, 208Pb/207Pb, 206Pb/204Pb) from Leg 1 (Seattle, WA to Hilo, HI) of the US GEOTRACES Pacific Meridional Transect (PMT) cruise (GP15, RR1814) on R/V Roger Revelle from September to October 2018 (US GEOTRACES Pacific Meridional Transect (GP15)) During September 23 to November 22, 2018, the R/V Roger Revelle completed a trace element (and their isotopes) hydrographic section along ~152° West from 56° North to 20° South (GEOTRACES GP15). Full water column trace metal clean samples were obtained with the U.S. GEOTRACES Carousel (GTC) composed of 24 12-liter trace metal clean GO-Flow sampling systems mounted on a trace metal free powder-coated titanium rosette system. Three of the stations had lead (Pb) concentrations determined at Massachusetts Institute of Technology (MIT) by isotope dilution quadrupole inductively coupled plasma mass spectrometry (ICPMS) for intercalibration with the Texas A&M (TAMU) lab of Jessica Fitzsimmons who analyzed all of the cruise stations. The rest of the full- and super-stations were analyzed at MIT for Pb isotope ratios (206Pb/207Pb, 208Pb/207Pb, 206Pb/204Pb). These data are collected to document the penetration of atmosphericly-transported anthropogenic Pb into the ocean and its subsequent dispersion by circulation and chemical interactions between sinking particles and Pb dissolved in solution. Shuo Jiang, Nathan Lanning, and Edward Boyle performed the extractions and the ICPMS analyses. This dataset includes data from Leg 1 of the cruise, RR1814.\n\ncdm_data_type = Other\nVARIABLES:\nStation_ID (unitless)\nEvent_ID (unitless)\ntime (Start_iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\nEnd_ISO_DateTime_UTC (seconds since 1970-01-01T00:00:00Z)\nlatitude (Start_latitude, degrees_north)\nlongitude (Start_longitude, degrees_east)\nSample_ID (unitless)\ndepth (Sample_depth, m)\nPb_206_207_D_RATIO_BOTTLE_h0hu59 (unitless)\nSD2_Pb_206_207_D_RATIO_BOTTLE_h0hu59 (unitless)\nFlag_Pb_206_207_D_RATIO_BOTTLE_h0hu59 (unitless)\nPb_208_207_D_RATIO_BOTTLE_o5msvl (unitless)\nSD1_Pb_208_207_D_RATIO_BOTTLE_o5msvl (unitless)\nFlag_Pb_208_207_D_RATIO_BOTTLE_o5msvl (unitless)\n... (18 more variables)\n BCO-DMO bcodmo_dataset_933318_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_933318_v2 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_933318_v2.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_933318_v2/ public [GP15 Pb and Pb Isotopes Leg 1] - Lead (Pb) concentrations and Pb isotope ratios (206Pb/207Pb, 208Pb/207Pb, 206Pb/204Pb) from Leg 1 (Seattle, WA to Hilo, HI) of the US GEOTRACES Pacific Meridional Transect (PMT) cruise (GP15, RR1814) on R/V Roger Revelle from September to October 2018 (US GEOTRACES Pacific Meridional Transect (GP15)) During September 23 to November 22, 2018, the R/V Roger Revelle completed a trace element (and their isotopes) hydrographic section along ~152° West from 56° North to 20° South (GEOTRACES GP15). Full water column trace metal clean samples were obtained with the U.S. GEOTRACES Carousel (GTC) composed of 24 12-liter trace metal clean GO-Flow sampling systems mounted on a trace metal free powder-coated titanium rosette system. Three of the stations had lead (Pb) concentrations determined at Massachusetts Institute of Technology (MIT) by isotope dilution quadrupole inductively coupled plasma mass spectrometry (ICPMS) for intercalibration with the Texas A&M (TAMU) lab of Jessica Fitzsimmons who analyzed all of the cruise stations. The rest of the full- and super-stations were analyzed at MIT for Pb isotope ratios (206Pb/207Pb, 208Pb/207Pb, 206Pb/204Pb). These data are collected to document the penetration of atmosphericly-transported anthropogenic Pb into the ocean and its subsequent dispersion by circulation and chemical interactions between sinking particles and Pb dissolved in solution. Shuo Jiang, Nathan Lanning, and Edward Boyle performed the extractions and the ICPMS analyses. This dataset includes data from Leg 1 of the cruise, RR1814.\n\ncdm_data_type = Other\nVARIABLES:\nStation_ID (unitless)\nEvent_ID (unitless)\ntime (Start_iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\nEnd_ISO_DateTime_UTC (seconds since 1970-01-01T00:00:00Z)\nlatitude (Start_latitude, degrees_north)\nlongitude (Start_longitude, degrees_east)\nSample_ID (unitless)\ndepth (Sample_depth, m)\nPb_206_207_D_RATIO_BOTTLE_h0hu59 (unitless)\nSD2_Pb_206_207_D_RATIO_BOTTLE_h0hu59 (unitless)\nFlag_Pb_206_207_D_RATIO_BOTTLE_h0hu59 (unitless)\nPb_208_207_D_RATIO_BOTTLE_o5msvl (unitless)\nSD1_Pb_208_207_D_RATIO_BOTTLE_o5msvl (unitless)\nFlag_Pb_208_207_D_RATIO_BOTTLE_o5msvl (unitless)\n... (18 more variables)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_933318_v2_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_933318_v2_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_933318_v2/index.htmlTable https://osprey.bco-dmo.org/dataset/933318 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_933318_v2.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_933318_v2&showErrors=false&email= BCO-DMO bcodmo_dataset_933318_v2
log in [GP15 Pb and Pb Isotopes Leg 2] - Lead (Pb) concentrations and Pb isotope ratios (206Pb/207Pb, 208Pb/207Pb, 206Pb/204Pb) from Leg 2 (Hilo, HI to Papeete, French Polynesia) of the US GEOTRACES Pacific Meridional Transect (PMT) cruise (GP15, RR1815) on R/V Roger Revelle from Oct-Nov 2018 (US GEOTRACES Pacific Meridional Transect (GP15)) During September 23 to November 22, 2018, the R/V Roger Revelle completed a trace element (and their isotopes) hydrographic section along ~152° West from 56° North to 20° South (GEOTRACES GP15). Full water column trace metal clean samples were obtained with the U.S. GEOTRACES Carousel (GTC) composed of 24 12-liter trace metal clean GO-Flow sampling systems mounted on a trace metal free powder-coated titanium rosette system. Three of the stations had lead (Pb) concentrations determined at Massachusetts Institute of Technology (MIT) by isotope dilution quadrupole inductively coupled plasma mass spectrometry (ICPMS) for intercalibration with the Texas A&M (TAMU) lab of Jessica Fitzsimmons who analyzed all of the cruise stations. The rest of the full- and super-stations were analyzed at MIT for Pb isotope ratios (206Pb/207Pb, 208Pb/207Pb, 206Pb/204Pb). These data are collected to document the penetration of atmosphericly-transported anthropogenic Pb into the ocean and its subsequent dispersion by circulation and chemical interactions between sinking particles and Pb dissolved in solution. Shuo Jiang, Nathan Lanning, and Edward Boyle performed the extractions and the ICPMS analyses. This dataset includes data from Leg 2 of the cruise, RR1815.\n\ncdm_data_type = Other\nVARIABLES:\nStation_ID (unitless)\nEvent_ID (unitless)\ntime (Start_iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\nEnd_ISO_DateTime_UTC (seconds since 1970-01-01T00:00:00Z)\nlatitude (Start_latitude, degrees_north)\nlongitude (Start_longitude, degrees_east)\nSample_ID (unitless)\ndepth (Sample_depth, m)\nPb_208_207_D_RATIO_FISH_dx6trs (unitless)\nSD1_Pb_208_207_D_RATIO_FISH_dx6trs (unitless)\nFlag_Pb_208_207_D_RATIO_FISH_dx6trs (unitless)\nPb_206_204_D_RATIO_FISH_xqphwk (unitless)\nSD1_Pb_206_204_D_RATIO_FISH_xqphwk (unitless)\nFlag_Pb_206_204_D_RATIO_FISH_xqphwk (unitless)\n... (18 more variables)\n BCO-DMO bcodmo_dataset_933383_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_933383_v2 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_933383_v2.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_933383_v2/ public [GP15 Pb and Pb Isotopes Leg 2] - Lead (Pb) concentrations and Pb isotope ratios (206Pb/207Pb, 208Pb/207Pb, 206Pb/204Pb) from Leg 2 (Hilo, HI to Papeete, French Polynesia) of the US GEOTRACES Pacific Meridional Transect (PMT) cruise (GP15, RR1815) on R/V Roger Revelle from Oct-Nov 2018 (US GEOTRACES Pacific Meridional Transect (GP15)) During September 23 to November 22, 2018, the R/V Roger Revelle completed a trace element (and their isotopes) hydrographic section along ~152° West from 56° North to 20° South (GEOTRACES GP15). Full water column trace metal clean samples were obtained with the U.S. GEOTRACES Carousel (GTC) composed of 24 12-liter trace metal clean GO-Flow sampling systems mounted on a trace metal free powder-coated titanium rosette system. Three of the stations had lead (Pb) concentrations determined at Massachusetts Institute of Technology (MIT) by isotope dilution quadrupole inductively coupled plasma mass spectrometry (ICPMS) for intercalibration with the Texas A&M (TAMU) lab of Jessica Fitzsimmons who analyzed all of the cruise stations. The rest of the full- and super-stations were analyzed at MIT for Pb isotope ratios (206Pb/207Pb, 208Pb/207Pb, 206Pb/204Pb). These data are collected to document the penetration of atmosphericly-transported anthropogenic Pb into the ocean and its subsequent dispersion by circulation and chemical interactions between sinking particles and Pb dissolved in solution. Shuo Jiang, Nathan Lanning, and Edward Boyle performed the extractions and the ICPMS analyses. This dataset includes data from Leg 2 of the cruise, RR1815.\n\ncdm_data_type = Other\nVARIABLES:\nStation_ID (unitless)\nEvent_ID (unitless)\ntime (Start_iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\nEnd_ISO_DateTime_UTC (seconds since 1970-01-01T00:00:00Z)\nlatitude (Start_latitude, degrees_north)\nlongitude (Start_longitude, degrees_east)\nSample_ID (unitless)\ndepth (Sample_depth, m)\nPb_208_207_D_RATIO_FISH_dx6trs (unitless)\nSD1_Pb_208_207_D_RATIO_FISH_dx6trs (unitless)\nFlag_Pb_208_207_D_RATIO_FISH_dx6trs (unitless)\nPb_206_204_D_RATIO_FISH_xqphwk (unitless)\nSD1_Pb_206_204_D_RATIO_FISH_xqphwk (unitless)\nFlag_Pb_206_204_D_RATIO_FISH_xqphwk (unitless)\n... (18 more variables)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_933383_v2_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_933383_v2_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_933383_v2/index.htmlTable https://osprey.bco-dmo.org/dataset/933383 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_933383_v2.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_933383_v2&showErrors=false&email= BCO-DMO bcodmo_dataset_933383_v2
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_940589_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_940589_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_940589_v1/ public [GP15 Water Column Dissolved 227Ac Leg 1] - Activity of actinium-227 from water samples collected on Leg 1 (Seattle, WA to Hilo, HI) of the US GEOTRACES Pacific Meridional Transect (PMT) cruise (GP15, RR1814) on R/V Roger Revelle from September to October 2018 (US GEOTRACES Pacific Meridional Transect (GP15)) Actinium-227 (227Ac) was captured on commercial water filters impregnated with manganese dioxide (MnO2) and placed downstream of the filters in submersible pumps deployed on GEOTRACES expedition GP15, aboard R/V Roger Revelle, in collaboration with groups from Woods Hole Oceanographic Institution (WHOI) and University of South Carolina who measured radium isotopes on the same cartridges. The activity of 227Ac was measured using RaDeCC (Radium Delayed Coincidence Counter) and used to calculate the concentration of dissolved  227Ac along the transect by PI Douglas Hammond and graduate student Nathan Kemnitz. Data have been summarized and will be submitted in a publication to be submitted to JGR Oceans, along with a companion data set for 227Ac, 228Ra, and 210Pb in sediments. This dataset has been used to evaluate deep ocean solute transport. This dataset includes data from Leg 1 of the cruise (RR1814). Leg 2 data (RR1815) are available in a separate BCO-DMO dataset.\n\ncdm_data_type = Other\nVARIABLES:\nStation_ID (unitless)\nEvent_ID (unitless)\nGear_ID (unitless)\ntime (Start_iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\nStart_Date_UTC (unitless)\nStart_Time_UTC (unitless)\nEnd_ISO_DateTime_UTC (seconds since 1970-01-01T00:00:00Z)\nEnd_Date_UTC (unitless)\nEnd_Time_UTC (unitless)\nlatitude (Start_latitude, degrees_north)\nlongitude (Start_longitude, degrees_east)\nSample_ID (unitless)\ndepth (Sample_depth, m)\nAc_227_D_CONC_PUMP_lfvbby (micro becquerel per kilogram (uBq/kg))\nSD1_Ac_227_D_CONC_PUMP_lfvbby (micro becquerel per kilogram (uBq/kg))\nFlag_Ac_227_D_CONC_PUMP_lfvbby (unitless)\nPa231_uBq_kg (micro becquerel per kilogram (uBq/kg))\n... (9 more variables)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_940589_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_940589_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_940589_v1/index.htmlTable https://www.bco-dmo.org/dataset/940589 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_940589_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_940589_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_940589_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_941157_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_941157_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_941157_v1/ public [GP15 Water Column Dissolved 227Ac Leg 2] - Activity of actinium-227 from water samples collected on Leg 2 (Hilo, HI to Papeete, French Polynesia) of the US GEOTRACES Pacific Meridional Transect (PMT) cruise (GP15, RR1815) on R/V Roger Revelle from Oct-Nov 2018 (US GEOTRACES Pacific Meridional Transect (GP15)) Actinium-227 (227Ac) was captured on commercial water filters impregnated with manganese dioxide (MnO2) and placed downstream of the filters in submersible pumps deployed on GEOTRACES expedition GP15, aboard R/V Roger Revelle, in collaboration with groups from Woods Hole Oceanographic Institution (WHOI) and University of South Carolina who measured radium isotopes on the same cartridges. The activity of 227Ac was measured using RaDeCC (Radium Delayed Coincidence Counter) and used to calculate the concentration of dissolved  227Ac along the transect by PI Douglas Hammond and graduate student Nathan Kemnitz. Data have been summarized and will be submitted in a publication to be submitted to JGR Oceans, along with a companion data set for 227Ac, 228Ra, and 210Pb in sediments. This dataset has been used to evaluate deep ocean solute transport. This dataset includes data from Leg 2 of the cruise (RR1815). Leg 1 data (RR1814) are available in a separate BCO-DMO dataset.\n\ncdm_data_type = Other\nVARIABLES:\nStation_ID (unitless)\nEvent_ID (unitless)\nGear_ID (unitless)\ntime (Start_iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\nStart_Date_UTC (unitless)\nStart_Time_UTC (unitless)\nEnd_ISO_DateTime_UTC (seconds since 1970-01-01T00:00:00Z)\nEnd_Date_UTC (unitless)\nEnd_Time_UTC (unitless)\nlatitude (Start_latitude, degrees_north)\nlongitude (Start_longitude, degrees_east)\nSample_ID (unitless)\ndepth (Sample_depth, m)\nAc_227_D_CONC_PUMP_rxwrrl (micro becquerel per kilogram (uBq/kg))\nSD1_Ac_227_D_CONC_PUMP_rxwrrl (micro becquerel per kilogram (uBq/kg))\nFlag_Ac_227_D_CONC_PUMP_rxwrrl (unitless)\nPa231_uBq_kg (micro becquerel per kilogram (uBq/kg))\n... (9 more variables)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_941157_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_941157_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_941157_v1/index.htmlTable https://www.bco-dmo.org/dataset/941157 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_941157_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_941157_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_941157_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_915447_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_915447_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_915447_v1/ public [GP16 Dissolved Nd Isotopes and REEs - LDEO] - Dissolved neodymium (Nd) isotopes and concentrations of rare-earth elements (REEs) reported by LDEO in seawater samples collected during the GEOTRACES GP16 East Pacific Zonal Transect cruise (TN303) on R/V Thomas G. Thompson from October to December 2013 (U.S. GEOTRACES East Pacific Zonal Transect (GP16)) This dataset includes dissolved neodymium (Nd) isotopes and concentrations of rare earth elements (REEs) in seawater samples collected along the GEOTRACES GP16 East Pacific Zonal Transect. The cruise was aboard the R/V Thomas G. Thompson between October 25 and December 20, 2013 from Manta, Ecuador to Papeete, Tahiti. Multicollector-inductively coupled plasma-mass spectrometry (MC-ICP-MS) was used to analyze Nd isotopes and quadrupole ICP‐MS was used to analyze REE concentrations.\n\nThis cruise provides a great opportunity to understand sources, sinks, and cycling of REEs in the ocean as well as how well Nd isotopes behave as a conservative water mass tracer. The data were collected by Yingzhe Wu and Chandranath Basak at Lamont-Doherty Earth Observatory of Columbia University.\n\ncdm_data_type = Other\nVARIABLES:\nStation_ID (unitless)\ntime (Iso_datetime_utc_start, seconds since 1970-01-01T00:00:00Z)\nStart_Date_UTC (unitless)\nStart_Time_UTC (unitless)\nStart_Latitude (degrees_north)\nlongitude (Start_longitude, degrees_east)\nEvent_ID (unitless)\nSample_ID (unitless)\ndepth (Sample_depth, m)\nCTDPRS_T_VALUE_SENSOR_vvdwtp (decibars (dbar))\nSD1_CTDPRS_T_VALUE_SENSOR_vvdwtp (decibars (dbar))\nFlag_CTDPRS_T_VALUE_SENSOR_vvdwtp (unitless)\nCTDTMP_T_VALUE_SENSOR_fp7gnu (degrees Celsius)\nSD1_CTDTMP_T_VALUE_SENSOR_fp7gnu (degrees Celsius)\nFlag_CTDTMP_T_VALUE_SENSOR_fp7gnu (unitless)\nCTDSAL_D_CONC_SENSOR_dipxfj (PSU?)\nSD1_CTDSAL_D_CONC_SENSOR_dipxfj (PSU?)\nFlag_CTDSAL_D_CONC_SENSOR_dipxfj (unitless)\n... (102 more variables)\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_915447_v1/index.htmlTable https://www.bco-dmo.org/dataset/915447 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_915447_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_915447_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_915447_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_933645_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_933645_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_933645_v1/ public [GP16 N2O Isotopes and Concentrations] - Nitrous oxide (N2O) isotopes and concentrations from the U.S. GEOTRACES EPZT cruise (GP16, TN303) on R/V Thomas G. Thompson in the tropical Pacific from October to December 2013 (U.S. GEOTRACES East Pacific Zonal Transect (GP16)) This dataset includes nitrous oxide (N2O) isotopes and concentration measurements with accompanying physiochemical data from the 2013 U.S. GEOTRACES East Pacific Zonal Transect cruise (GP16). The cruise sailed from October 25, 2013 to December 18, 2023 aboard the R/V Thompson.\n\ncdm_data_type = Other\nVARIABLES:\nSTNNBR (unitless)\nGEOTRC_EVENTNO (unitless)\nGEOTRC_SAMPNO (unitless)\nDATE (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\nCTDPRS (decibars)\ndepth (m)\nCTDTMP (degrees Celsius)\nCTDSAL (PSU)\nN2O_ALPHA_15_14_D_DELTA_BOTTLE_mmz7wk (permille)\nSD1_N2O_ALPHA_15_14_D_DELTA_BOTTLE_mmz7wk (permille)\nN2O_BETA_15_14_D_DELTA_BOTTLE (permille)\nSD1_N2O_BETA_15_14_D_DELTA_BOTTLE (permille)\nN2O_SP_15_14_D_DELTA_BOTTLE (permille)\nSD1_N2O_SP_15_14_D_DELTA_BOTTLE (permille)\nN2O_15_14_D_DELTA_BOTTLE_f2vswm (permille)\nSD1_N2O_15_14_D_DELTA_BOTTLE_f2vswm (permille)\nN2O_17_16_D_DELTA_BOTTLE (permille)\nSD1_N2O_17_16_D_DELTA_BOTTLE (permille)\nN2O_18_16_D_DELTA_BOTTLE_xkal8d (permille)\nSD1_N2O_18_16_D_DELTA_BOTTLE_xkal8d (permille)\nN2O_D_CONC_BOTTLE_ahlf1q (nanomolar (nmol/L))\nSD1_N2O_D_CONC_BOTTLE_ahlf1q (nanomolar (nmol/L))\nN2O_Flag (unitless)\n... (6 more variables)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_933645_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_933645_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_933645_v1/index.htmlTable https://www.bco-dmo.org/dataset/933645 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_933645_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_933645_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_933645_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_933707_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_933707_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_933707_v1/ public [GP16 Nitrite Isotopes and Concentrations] - Nitrite (NO2-) isotopes and concentrations from the U.S. GEOTRACES EPZT cruise (GP16, TN303) on R/V Thomas G. Thompson in the tropical Pacific from October to December 2013 (U.S. GEOTRACES East Pacific Zonal Transect (GP16)) This dataset includes nitrite (NO2-) isotopes and concentration measurements with accompanying physiochemical data from the 2013 U.S. GEOTRACES East Pacific Zonal Transect cruise (GP16). The cruise sailed from October 25, 2013 to December 18, 2023 aboard the R/V Thompson.\n\ncdm_data_type = Other\nVARIABLES:\nSTNNBR (unitless)\nGEOTRC_EVENTNO (unitless)\nGEOTRC_SAMPNO (unitless)\nDATE (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\nCTDPRS (decibars)\ndepth (m)\nCTDTMP (degrees Celsius)\nCTDSAL (PSU)\nNITRITE (micromoles per liter (umol/L))\nNITRITE_15_14_D_DELTA_BOTTLE_x5fmqg (permille)\nSD1_NITRITE_15_14_D_DELTA_BOTTLE_x5fmqg (permille)\nFlag_NITRITE_15_14_D_DELTA_BOTTLE_x5fmqg (unitless)\nNITRITE_18_16_D_DELTA_BOTTLE_iqunnm (permille)\nSD1_NITRITE_18_16_D_DELTA_BOTTLE_iqunnm (permille)\nFlag_NITRITE_18_16_D_DELTA_BOTTLE_iqunnm (unitless)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_933707_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_933707_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_933707_v1/index.htmlTable https://www.bco-dmo.org/dataset/933707 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_933707_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_933707_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_933707_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_1003205_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_1003205_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_1003205_v1/ public [GP17-ANT aerosol and seawater beryllium-7 concentrations] -  (US GEOTRACES GP17 Section: Amundsen Sea Sector of the Antarctic Continental Margin (GP17-ANT)) Beryllium-7 (Be-7) is a radioactive isotope with a half-life of 53.3 days. It is formed in the atmosphere, attaches to aerosol particles, and is subsequently deposited to the Earth's surface by wet and dry deposition processes. As part of the GEOTRACES GP17-ANT project, we measured Be-7 concentrations in surface ocean seawater (depths <200 meters) samples collected from six stations and bulk aerosol particles collected across eight deployments in the Southern Ocean and Amundsen Sea region. Samples were collected aboard the research vessel ice breaker Nathaniel B. Palmer during cruise NBP2401 (29 November 2023 to 28 January 2024). The dataset will be used to calculate bulk atmospheric deposition velocities across the study region, based on the premise that Be-7 inventory in the surface ocean is controlled primarily by atmospheric deposition and radioactive decay. Thus, from the surface Be-7 inventory, its deposition flux can be determined, and from that and the aerosol Be-7 concentration, we can determine deposition velocity. The determined deposition velocity will then be used with aerosol concentrations of trace elements measured during the same study to determine rates of atmospheric supply of trace elements to the region.\n\ncdm_data_type = Other\nVARIABLES:\nStation_ID (unitless)\nEvent_ID (unitless)\ntime (Start_iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\nStart_Date_UTC (unitless)\nStart_Time_UTC (unitless)\nEnd_ISO_DateTime_UTC (seconds since 1970-01-01T00:00:00Z)\nEnd_Date_UTC (unitless)\nEnd_Time_UTC (unitless)\nlatitude (Start_latitude, degrees_north)\nlongitude (Start_longitude, degrees_east)\nEnd_Latitude (degrees_north)\nEnd_Longitude (degrees_east)\nSample_ID (unitless)\ndepth (Sample_depth, m)\nBe_7_D_CONC_PUMP_6lx09j (microBecquerel per kilogram (μBq/kg))\n... (5 more variables)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_1003205_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_1003205_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_1003205_v1/index.htmlTable https://osprey.bco-dmo.org/dataset/1003205 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_1003205_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_1003205_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_1003205_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_1001113_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_1001113_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_1001113_v1/ public [GP17-ANT DSPE Metal Concentrations] - Solid Phase extracted metal distributions collected on the US GEOTRACES GP17- ANT expedition aboard R/V Nathaniel B. Palmer (cruise NBP24-01) in the Southern Ocean across the Amundsen Sea from December 2023 to January 2024 (Collaborative Research: US GEOTRACES GP-17-ANT: Molecular speciation of trace element-ligand complexes in the Southern Ocean and Antarctic shelf) Molecular speciation affects the solubility, bioavailability, toxicity, scavenging and regeneration rates, and water column residence times of trace elements in the ocean. The molecular speciation of trace elements is what microbes \"sense\" and respond to. In this dataset, we report the speciation of iron, copper, zinc, and nickel in water samples collected during the US GEOTRACES GP17 ANT expedition from Punta Arenas, Chile to Lyttelton, New Zealand. Trace metals complexed with oceanic dissolved organic matter were filtered, preconcentrated, and purified onto hydrophobic resins for solid-phase extraction, and recovered with organic solvent. The captured trace element organic complexes were then characterized and quantified by liquid chromatography coupled to inductively coupled mass spectrometry.\n\ncdm_data_type = Other\nVARIABLES:\nStation (Unitless)\nGEOTRACES_ID (Unitless)\nCast (Unitless)\ntime (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\nDate (Unitless)\ntime_Unitless (Time, Unitless)\nEvent (Unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\ndepth (m)\nTotalFeLigands_56_DSPEENV_CONC_BOTTLE (nanomole per litre (nM))\nHydrophilicFeLigands_56_DSPEENV_CONC_BOTTLE (nanomole per litre (nM))\nHydrophobicFeLigands_56_DSPEENV_CONC_BOTTLE (nanomole per litre (nM))\nTotalNiLigands_60_DSPEENV_CONC_BOTTLE (nanomole per litre (nM))\nTotalCuLigands_63_DSPEENV_CONC_BOTTLE (nanomole per litre (nM))\nTotalZnLigands_66_DSPEENV_CONC_BOTTLE (nanomole per litre (nM))\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_1001113_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_1001113_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_1001113_v1/index.htmlTable https://osprey.bco-dmo.org/dataset/1001113 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_1001113_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_1001113_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_1001113_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_993951_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_993951_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_993951_v1/ public [GP17-ANT Event Log] - Scientific sampling event log from the US GEOTRACES GP17-ANT cruise in the Amundsen Sea on RVIB Nathaniel B. Palmer (NBP2401) from November 2023 to January 2024 (US GEOTRACES GP17 Section: Amundsen Sea Sector of the Antarctic Continental Margin (GP17-ANT)) This dataset is the scientific sampling event log from the US GEOTRACES GP17-ANT cruise on RVIB Nathaniel B. Palmer (NBP2401). The U.S. GEOTRACES GP17-ANT expedition departed Punta Arenas, Chile on November 29th, 2023 and arrived in Lyttelton, New Zealand on January 28th, 2024. The cruise took place in the Amundsen Sea with a team of 35 scientists led by Peter Sedwick (Old Dominion University), Phoebe Lam (University of California, Santa Cruz), and Robert Sherrell (Rutgers University). GP17 was planned as a two-leg expedition, with its first leg (GP17-OCE) as a southward extension of the 2018 GP15 Alaska-Tahiti expedition and this second leg (GP17-ANT) into coastal and shelf waters of Antarctica's Amundsen Sea.\n\ncdm_data_type = Other\nVARIABLES:\nEvent_ID (unitless)\nSample_IDs (unitless)\nInstrument (unitless)\nStation (unitless)\nCast (unitless)\nStart_Time (unitless)\nISO_DateTime_Start_UTC (unitless)\nlongitude (degrees_east)\nlatitude (Start_lat, degrees_north)\nEnd_Time (unitless)\nISO_DateTime_End_UTC (unitless)\nEnd_Lon (degrees_east)\nEnd_Lat (degrees_north)\nAuthor (unitless)\nNotes (unitless)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_993951_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_993951_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_993951_v1/index.htmlTable https://osprey.bco-dmo.org/dataset/993951 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_993951_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_993951_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_993951_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_969502_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_969502_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_969502_v1/ public [GP17-ANT Fe-binding humic-like substances] - Concentrations of iron bound to humic-like substances and total iron-binding capacity of humic-like substances from discrete samples collected on the GP17-ANT RVIB Palmer cruise NBP24-01 in the Amundsen Sea from Nov 2023 to Jan 2024 (Collaborative Research: U.S. GEOTRACES GP17-OCE and GP17-ANT: Characterizing iron-binding organic ligands in the Southern Ocean and implications for iron cycling in the global ocean) This dataset includes the concentrations of iron (Fe) bound to humic-like substances and total iron-binding capacity of humic-like substances from discrete depth profile and towfish samples collected on the GP17-ANT cruise NBP24-01 on the R/V IB Nathaniel B. Palmer in the Amundsen Sea from 29 November 2023 to 28 January 2024.\n\nThis project investigates the impact of Fe-binding humic-like substances on Fe biogeochemistry in the Amundsen Sea. The project used a combination of depth profile and surface towfish samples to characterize the contributions of humic-like substances to Fe biogeochemistry across gradients in primary production, water masses, and bathymetric features in the Amundsen Sea. Understanding the distributions of Fe-binding humic-like substances provides insight into the impact of compositional changes of the Fe-binding ligand pool on Fe biogeochemistry and may help elucidate specific sources of these ligands.\n\ncdm_data_type = Other\nVARIABLES:\nCRUISE_ID (unitless)\nSECT_ID (unitless)\nSTNNBR (unitless)\nPLATFORM (unitless)\nCASTNO (unitless)\nSAMPNO (unitless)\nEVENT_NO (unitless)\nGEOTRC_SAMPNO (unitless)\nBTLNBR (unitless)\nDATE (unitless)\ntime_unitless (Time, unitless)\ntime (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\nLATITUDE (degrees_north)\nLONGITUDE (degrees_east)\nDEPTH (meters (m))\nCTDPRS (decibars (db))\n... (14 more variables)\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_969502_v1/index.htmlTable https://osprey.bco-dmo.org/dataset/969502 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_969502_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_969502_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_969502_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_994890_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_994890_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_994890_v1/ public [GP17-ANT Fe-binding ligands] - Dissolved iron-binding ligand concentrations and conditional stability constants from field samples collected on US GEOTRACES GP17-ANT cruise NBP24-01 on RVIB Palmer in the Amundsen Sea from Nov 2023 to Jan 2024 (Collaborative Research: U.S. GEOTRACES GP17-OCE and GP17-ANT: Characterizing iron-binding organic ligands in the Southern Ocean and implications for iron cycling in the global ocean) Iron is an essential micronutrient for marine life, and its distribution across the world ocean is mostly driven by its complexation by a fraction of the dissolved organic matter pool called iron-binding ligands. This dataset includes the concentration and conditional stability constant of dissolved iron-binding ligands of samples collected during the U.S. GEOTRACES GP17-ANT cruise. This cruise was aiming to investigate the distribution of trace metals and dependent variables in the Amundsen Sea (Antarctica), hotspot of primary production and of major interest in carbon cycling. The cruise departed Punta Arenas (Chile) on November 29th, 2023 and arrived in Lyttelton (New Zealand) on January 28th 2024, after sample collection in the Amundsen Sea (Antarctica). Seawater samples were collected with a tow-fish and a trace metal clean rosette equipped with 24 GoFlo bottles, placed in acid-clean FLPE bottles, and stored frozen (-20 degrees Celsius) until onboard analysis by Dr. Léo Mahieu, if not analyzed within 24 hours after collection. \n\nThe Amundsen Sea is the site of some of the biggest phytoplanktonic blooms happening seasonally across the world ocean, and is, therefore, an important zone for carbon fixation and export. Yet, uncertainty remains about the processes fueling this bloom, notably for iron. The Amundsen Sea is characterized by shallow depth allowing for connectivity between sediment resuspension and phytoplankton iron supply, and by one of the higher rates of the sea-ice melt rate observed on the Antarctic continent. This dataset is the first one to present iron-binding ligand characteristics in samples deeper than 300 m in the Amundsen Sea, and allows us to report on the impact of sediment resuspension, ice melting, and biological productivity on iron-binding ligand characteristics and on their role in transporting iron in the Amundsen Sea.\n\ncdm_data_type = Other\nVARIABLES:\nCRUISE (unitless)\nSAMPLE_ID (unitless)\nSTATION (unitless)\nDATE (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\nPLATFORM (unitless)\n... (44 more variables)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_994890_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_994890_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_994890_v1/index.htmlTable https://osprey.bco-dmo.org/dataset/994890 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_994890_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_994890_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_994890_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_927107_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_927107_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_927107_v1/ public [GP17-OCE Beryllium-7 in seawater and aerosols] - Aerosol and seawater beryllium-7 concentrations from the US GEOTRACES GP17-OCE cruise on R/V Roger Revelle (RR2214) in the South Pacific and Southern Oceans from December 2022 to January 2023 (US GEOTRACES GP17 Section: South Pacific and Southern Ocean (GP17-OCE)) Beryllium-7, a radioactive isotope with a half-life of 53.3 days, is formed in the atmosphere, attaches to aerosol particles, and is deposited on the earth's surface through wet and dry processes. In this project, we measured Be-7 concentrations in aerosol particles and in seawater samples (depths < 200 meters) collected on the GEOTRACES GP17-OCE cruise aboard R/V Roger Revelle. The cruise originated in Papeete, Tahiti, French Polynesia on 1 December 2022 and concluded on 25 January 2023 in Punta Arenas, Chile. Sixteen aerosol samples and seawater from twelve stations in the South Pacific and Southern Oceans were collected. The dataset will be used to study the deposition of trace elements and isotopes (TEIs) and upper ocean mixing processes. Aerosol deposition is an important source of TE micronutrients to open ocean areas that are far removed from riverine sources. But, while the collection aerosol of samples for TEI analysis is straightforward, estimating the deposition flux also requires an appropriate deposition velocity (i.e. deposition flux is the product of the aerosol concentration and deposition velocity). Because Be-7 is supplied to the open ocean exclusively through aerosol deposition and it is removed through radioactive decay, the water column inventory and aerosol concentration of Be-7 can be used to derive the deposition velocity applicable to aerosol TEIs. The penetration of dissolved Be-7 below the ocean mixed layer is limited by the isotope's half-life and the rate of vertical diffusive mixing. Through modeling, the shape of the Be-7 profile below the mixed layer provides an estimate for the vertical diffusivity coefficient (Kz), which can be used to calculate fluxes of chemical species (e.g. oxygen) and physical properties (e.g. heat).\n\ncdm_data_type = Other\nVARIABLES:\nStation_ID (unitless)\nEvent_ID (unitless)\nStart_Date_UTC (unitless)\nStart_Time_UTC (unitless)\ntime (Start_iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\nEnd_Date_UTC (unitless)\nEnd_Time_UTC (unitless)\nEnd_ISO_DateTime_UTC (seconds since 1970-01-01T00:00:00Z)\nStart_Latitude (degrees_north)\n... (11 more variables)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_927107_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_927107_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_927107_v1/index.htmlTable https://www.bco-dmo.org/dataset/927107 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_927107_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_927107_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_927107_v1
log in [GP17-OCE carbonate system data] - Carbonate system data from the US GETORACES GP17-OCE cruise on R/V Roger Revelle (RR2214) across the South Pacific and Southern Oceans from December 2022 to January 2023 (US GEOTRACES GP17-OCE and GP17-ANT: Inorganic Carbon Cycling in the South Pacific and Southern Oceans by Direct Measurement) This dataset includes total alkalinity (TA), dissolved inorganic carbon (DIC), and pH on the total scale (pHt) at 25 degrees Celsius collected on the GEOTRACES GP17-OCE cruise onboard the R/V Revelle between December 1, 2022 and January 25, 2023. All three were collected from the ODF rosette, with pHt also being collected from the FISH. The pHt was measured at 25 degrees Celsius onboard, while the TA and DIC were collected into borosilicate glass bottles and returned to the laboratory for analysis. These data can be used in conjunction with trace element and isotope (TEI) data also collected on the cruise to better understand the role of TEIs on carbon cyclings as well as decadal-scale changes and variability in South Pacific carbon chemistry when combined with prior (or future) occupations in the same region. Raw absorbance values and absorbance ratio for spectrophotometric pH measurements are also provided as a supplemental file.\n\ncdm_data_type = Other\nVARIABLES:\nStation_ID (unitless)\nEvent_ID (unitless)\nGear_ID (unitless)\ntime (Start_iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\nStart_Date_UTC (unitless)\nStart_Time_UTC (unitless)\nEnd_ISO_DateTime_UTC (seconds since 1970-01-01T00:00:00Z)\nEnd_Date_UTC (unitless)\nEnd_Time_UTC (unitless)\nlatitude (Start_latitude, degrees_north)\nlongitude (Start_longitude, degrees_east)\nEnd_Latitude (degrees_north)\nEnd_Longitude (degrees_east)\nRosette_Position (unitless)\nSample_ID (unitless)\ndepth (Sample_depth, m)\nTALK_D_CONC_BOTTLE_brdqgu (micromoles per kilogram (umol/kg))\nFlag_TALK_D_CONC_BOTTLE_brdqgu (unitless)\n... (10 more variables)\n BCO-DMO bcodmo_dataset_995080_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_959378_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_959378_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_959378_v1/ public [GP17-OCE CFCs and SF6 concentrations] - Measurement of dissolved CFC-11, CFC-12, CFC-113, and SF6  from Niskin bottles on the US GEOTRACES GP-17 OCE cruise RR2214 on R/V Roger Revelle from December 2022 to January 2023 (US GEOTRACES GP17 Section: South Pacific and Southern Ocean (GP17-OCE)) This dataset reportes measurements of dissolved CFC-11, CFC-12, CFC-113, and SF6  from Niskin bottle samples collected on the US GEOTRACES GP-17 OCE cruise RR2214 on R/V Roger Revelle from December 2022 to January 2023.\n\ncdm_data_type = Other\nVARIABLES:\nStation_ID (unitless)\nEvent_ID (unitless)\ntime (Start_iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\nStart_Date_UTC (unitless)\nStart_Time_UTC (unitless)\nlatitude (Start_latitude, degrees_north)\nlongitude (Start_longitude, degrees_east)\nRosette_Position (unitless)\nSample_ID (unitless)\ndepth (Sample_depth, m)\nSF6_D_CONC_BOTTLE_wokyfy (femtomoles per kilogram (fmol/kg))\nSD1_SF6_D_CONC_BOTTLE_wokyfy (unitless)\nFlag_SF6_D_CONC_BOTTLE_wokyfy (unitless)\nCFC12_D_CONC_BOTTLE_oj2de5 (picomoles per kilogram (pmol/kg))\nSD1_CFC12_D_CONC_BOTTLE_oj2de5 (unitless)\nFlag_CFC12_D_CONC_BOTTLE_oj2de5 (unitless)\nCFC113_D_CONC_BOTTLE_q9hv9q (picomoles per kilogram (pmol/kg))\nSD1_CFC113_D_CONC_BOTTLE_q9hv9q (unitless)\nFlag_CFC113_D_CONC_BOTTLE_q9hv9q (unitless)\nCFC11_D_CONC_BOTTLE_6mxfuc (picomoles per kilogram (pmol/kg))\nSD1_CFC11_D_CONC_BOTTLE_6mxfuc (unitless)\nFlag_CFC11_D_CONC_BOTTLE_6mxfuc (unitless)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_959378_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_959378_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_959378_v1/index.htmlTable https://osprey.bco-dmo.org/dataset/959378 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_959378_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_959378_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_959378_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_944794_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_944794_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_944794_v1/ public [GP17-OCE CTD Profiles] - Processed CTD profile data from both rosettes (GTC and ODF) deployed on the US GEOTRACES GP17-OCE cruise on R/V Roger Revelle (RR2214) from December 2022 to January 2023 (US GEOTRACES GP17 Section: South Pacific and Southern Ocean (GP17-OCE)) This dataset includes the processed CTD profile data from both rosettes (GTC and ODF) deployed on the US GEOTRACES GP17-OCE cruise on R/V Roger Revelle (RR2214) from December 2022 to January 2023. Data are binned to 2 meters. Data were processed by the Oceanographic Data Facility (ODF) at Scripps Institution of Oceanography.\n\ncdm_data_type = Other\nVARIABLES:\nCruise (unitless)\nStation (unitless)\nCast (unitless)\nEvent (unitless)\nAction (unitless)\nType (unitless)\nInstrument (unitless)\ntime (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\nLongitude_360 (decimal degrees)\nlongitude (degrees_east)\nlatitude (degrees_north)\nBot_Depth (meters (m))\nComments (unitless)\nCTDPRS_UP_T_VALUE_SENSOR (decibars (db))\nQV_WOCECTD_CTDPRS (unitless)\nCTDTMP_UP_T_VALUE_SENSOR (degrees Celsius)\nQV_WOCECTD_CTDTMP (unitless)\nCTDSAL_UP_D_VALUE_SENSOR (PSU)\nQV_WOCECTD_CTDSAL (unitless)\nCTDOXY_UP_D_VALUE_SENSOR (micromoles per kilogram (umol/kg))\nQV_WOCECTD_CTDOXY (unitless)\nCTDXMISS_UP_RAW_T_VALUE_SENSOR (0-5 volts direct current (VDC))\nQV_WOCECTD_CTDXMISS (unitless)\nCTDFLUOR_UP_RAW_T_VALUE_SENSOR (0-5 volts direct current (VDC))\n... (7 more variables)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_944794_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_944794_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_944794_v1/index.htmlTable https://osprey.bco-dmo.org/dataset/944794 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_944794_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_944794_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_944794_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_990510_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_990510_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_990510_v1/ public [GP17-OCE d13C DIC] - 13C/12C (del13C) of dissolved inorganic carbon (DIC) from samples collected on the GP17-OCE cruise on R/V Roger Revelle (RR2214) in the South Pacific and Southern Oceans from December 2022 to January 2023 (US GEOTRACES GP17 Section: South Pacific and Southern Ocean (GP17-OCE)) This dataset includes measurements of the 13C/12C (del13C) of dissolved inorganic carbon (DIC) in the South Pacific on samples collected during the US GEOTRACES GP17-OCE section (Papeete, Tahiti to Punta Arenas, Chile) on the R/V Roger Revelle from December 2022 to January 2023. The data will be useful to understand the relative contributions of ocean circulation, mixing, and biological pump to determining the observed distribution of dissolved biogeochemical species. These data are the responsibility of Paul Quay at the University of Washington.\n\ncdm_data_type = Other\nVARIABLES:\nStation_ID (unitless)\nStart_Date_UTC (unitless)\nStart_Time_UTC (unitless)\ntime (Start_iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\nlatitude (Start_latitude, degrees_north)\nlongitude (Start_longitude, degrees_east)\nEvent_ID (unitless)\nSample_ID (unitless)\nStation_Depth (meters (m))\nSample_Pressure (millibars (mbars))\nDIC_13_12_D_Delta_Bottle (per mil (vs PDB))\nSD1_DIC_13_12_D_Delta_Bottle (per mil)\nFlag_DIC_13_12_D_Delta_Bottle (unitless)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_990510_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_990510_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_990510_v1/index.htmlTable https://osprey.bco-dmo.org/dataset/990510 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_990510_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_990510_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_990510_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_986862_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_986862_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_986862_v1/ public [GP17-OCE Dissolved Fe and Mn] - Concentrations of dissolved iron and manganese determined in water-column and near-surface seawater samples collected on the US GEOTRACES GP17-OCE cruise on R/V Roger Revelle (RR2214) in the South Pacific and Southern Oceans from Dec 2022 to Jan 2023 (US GEOTRACES GP17 Section: South Pacific and Southern Ocean (GP17-OCE)) These data comprise the concentrations of dissolved iron and manganese determined in water-column and near-surface seawater samples, collected using a trace-metal clean CTD rosette or underway towfish sampler, respectively, during U.S. GEOTRACES cruise GP17-OCE (R/V Roger Revelle cruise RR2214). The dissolved iron data include shipboard measurements made using flow-injection analysis, and post-cruise measurements made using inductively-coupled plasma mass spectrometry, whereas the dissolved manganese data include only post-cruise measurements made using inductively-coupled plasma mass spectrometry.\n\ncdm_data_type = Other\nVARIABLES:\nStation (unitless)\nGEOTRACES_Sample_ID (unitless)\nDate (unitless)\nlatitude (Lat_n, degrees_north)\nlongitude (Long_e, degrees_east)\nSeafloor_Depth_m (meters (m))\nSample_P_dbar (decibar)\ndepth (Sample_depth_m, m)\nDFe_FIA_nM (nanomole per liter)\nSD_DFe_FIA_nM (nanomole per liter)\nDFe_FIA_Flag (unitless)\nDFe_ICP_nM (nanomole per liter)\nSD_DFe_ICP_nM (nanomole per liter)\nDFe_ICP_Flag (unitless)\nDMn_ICP_nM (nanomole per liter)\nSD_DMn_ICP_nM (nanomole per liter)\nDMn_ICP_Flag (unitless)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_986862_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_986862_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_986862_v1/index.htmlTable https://osprey.bco-dmo.org/dataset/986862 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_986862_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_986862_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_986862_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_939225_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_939225_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_939225_v1/ public [GP17-OCE Dissolved Gallium in the South Pacific Ocean] - Dissolved gallium (Ga) from the US GEOTRACES GP17-OCE cruise on R/V Roger Revelle (RR2214) in the South Pacific and Southern Oceans from December 2022 to January 2023 (US GEOTRACES GP17 Section: South Pacific and Southern Ocean (GP17-OCE)) Dissolved gallium (Ga) was determined in association with a US GEOTRACES cruise (GP17-OCE/RR2214) in the South Pacific and Southern Ocean. The cruise sampled formation regions for globally distributed water masses, the return flow of Pacific Deep Water into the Southern Ocean, hydrothermally influenced waters, margin waters, and a gradient of low to high productivity with varying limiting nutrients. The cruise track investigates circulation through the Antarctic Circumpolar Current (ACC) and formation of intermediate waters important for upper ocean nutrient supply. The overall circulation/productivity/export/recycling trap of this region also affects how oceanic element-element relationships develop. For Ga, its distribution can provide insight into dust delivery, which recent work has suggested may be higher than previously thought in the study area. Ga's limited reactivity also allows its distribution to be used for water mass deconvolution, which could be usefully applied to the ACC and intermediate water formation regions. Data include dissolved Ga concentrations from bottle and towed fish samples.\n\ncdm_data_type = Other\nVARIABLES:\nStation_ID (unitless)\nEvent_ID (unitless)\ntime (Start_iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\nStart_Date_UTC (unitless)\nStart_Time_UTC (unitless)\nlatitude (Start_latitude, degrees_north)\nlongitude (Start_longitude, degrees_east)\nRosette_Position (unitless)\nSample_ID (unitless)\ndepth (Sample_depth, m)\nGa_D_CONC_BOTTLE_hxhmr3 (picomoles per kilogram (pmol/kg))\nSD1_Ga_D_CONC_BOTTLE_hxhmr3 (picomoles per kilogram (pmol/kg))\nFlag_Ga_D_CONC_BOTTLE_hxhmr3 (unitless)\nGa_D_CONC_FISH_dhewdf (picomoles per kilogram (pmol/kg))\nSD1_Ga_D_CONC_FISH_dhewdf (picomoles per kilogram (pmol/kg))\nFlag_Ga_D_CONC_FISH_dhewdf (unitless)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_939225_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_939225_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_939225_v1/index.htmlTable https://www.bco-dmo.org/dataset/939225 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_939225_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_939225_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_939225_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_947790_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_947790_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_947790_v1/ public [GP17-OCE Dissolved Seawater Barium Concentrations] - Dissolved barium (Ba) concentrations in seawater samples collected on the US GEOTRACES GP17-OCE cruise on R/V Roger Revelle (RR2214) in the South Pacific and Southern Oceans from December 2022 to January 2023 (US GEOTRACES GP17-OCE: Investigating the role of the Southern Ocean's biogeochemical divide in shaping the global distributions of radium and barium isotopes) This dataset includes measurements of dissolved barium (Ba) concentrations in the South Pacific and Southern Ocean from the US GEOTRACES GP17 section (GP17-OCE, Papeete, Tahiti to Punta Arenas, Chile) on R/V Roger Revelle from December 2022 to January 2023.\n\ncdm_data_type = Other\nVARIABLES:\nCruise_ID (unitless)\nStation_ID (unitless)\nEvent_ID (unitless)\nGEOTRC_INSTR (unitless)\ntime (Start_iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\nStart_Date_UTC (unitless)\nStart_Time_UTC (unitless)\nEnd_ISO_DateTime_UTC (seconds since 1970-01-01T00:00:00Z)\nEnd_Date_UTC (unitless)\nEnd_Time_UTC (unitless)\nlatitude (Start_latitude, degrees_north)\nlongitude (Start_longitude, degrees_east)\nEnd_Latitude (degrees_north)\nEnd_Longitude (degrees_east)\nRosette_Position (unitless)\nSample_ID (unitless)\ndepth (Sample_depth, m)\nBa_D_CONC_FISH_wtoyqq (nanomoles per kilogram (nmol/kg))\nSD1_Ba_D_CONC_FISH_wtoyqq (nanomoles per kilogram (nmol/kg))\nFlag_Ba_D_CONC_FISH_wtoyqq (unitless)\nBa_D_CONC_UWAY_ththaj (nanomoles per kilogram (nmol/kg))\nSD1_Ba_D_CONC_UWAY_ththaj (nanomoles per kilogram (nmol/kg))\nFlag_Ba_D_CONC_UWAY_ththaj (unitless)\nBa_D_CONC_BOTTLE_xhbqq4 (nanomoles per kilogram (nmol/kg))\nSD1_Ba_D_CONC_BOTTLE_xhbqq4 (nanomoles per kilogram (nmol/kg))\nFlag_Ba_D_CONC_BOTTLE_xhbqq4 (unitless)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_947790_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_947790_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_947790_v1/index.htmlTable https://www.bco-dmo.org/dataset/947790 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_947790_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_947790_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_947790_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_932707_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_932707_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_932707_v1/ public [GP17-OCE Dissolved Total and Labile Cobalt] - Dissolved total (dCo) and labile Co (lCo) measurements from the US GEOTRACES GP17-OCE cruise on R/V Roger Revelle (RR2214) in the South Pacific and Southern Oceans from December 2022 to January 2023 (US GEOTRACES GP17 Section: South Pacific and Southern Ocean (GP17-OCE)) Despite the scarcity of cobalt in the global ocean, it plays important roles in some cellular functions, both in its role as a central factor in vitamin B12, and as an inorganic protein cofactor. Consequently, its distribution and speciation in marine environments is an important factor in understanding the activity of marine biota. Dissolved cobalt often displays a 'hybrid' profile type, with biological uptake dominating in the surface waters and removal by scavenging onto particles in the mesopelagic and below. These scavenging processes limit the accumulation of dissolved Co in the deep ocean. The relative contributions of scavenging and surface biological uptake are variable regionally due to both chemical and biological factors: recent research shows that dCo inventories may be intimately tied to the manganese redox cycle and formation of Mn oxides, and thus is heavily influenced by oxygen availability and local microbial community structure. Variability in Co usage - and by extension, its stoichiometry with respect to macronutrients - could be the result of differing uses of and needs for Co-utilizing metalloenzymes between taxa, and the plasticity of individual organisms with regards to metal availability. This dataset includes dissolved total (dCo) and labile Co (lCo) measurements from the GP17-OCE expedition, which occurred from 1 December 2022 to 25 January 2023, and traversed the South Pacific and a portion of the Southern Ocean. dCo samples are UV-irradiated before measurement, and so include both ligand bound and free Co. lCo samples are not UV-irradiated, thus represent the free Co inventory and that which is very weakly bound. lCo can be considered as the more bioavailable fraction. These samples were analyzed using competitive ligand exchange cathodic stripping voltammetry with a hanging mercury drop electrode. The dissolved Co distribution is understudied in much of the ocean, including the Southern Ocean. Given the contribution of the Southern Ocean to global deep water formation, the influences on the dCo inventory in this region likely impact Co supply in all ocean basins.\n\ncdm_data_type = Other\nVARIABLES:\nStation_ID (unitless)\nEvent_ID (unitless)\nGear_ID (unitless)\ntime (Start_iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\nStart_Date_UTC (unitless)\n... (23 more variables)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_932707_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_932707_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_932707_v1/index.htmlTable https://www.bco-dmo.org/dataset/932707 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_932707_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_932707_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_932707_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_927550_v2 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_927550_v2.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_927550_v2/ public [GP17-OCE Event Log] - Scientific sampling event log from the US GEOTRACES GP17-OCE cruise on R/V Roger Revelle (RR2214) from December 2022 to January 2023 (US GEOTRACES GP17 Section: South Pacific and Southern Ocean (GP17-OCE)) This dataset is the scientific sampling event log from the US GEOTRACES GP17-OCE cruise on R/V Roger Revelle (RR2214). The expedition departed Papeete, Tahiti (French Polynesia) on December 1st, 2022 and arrived in Punta Arenas, Chile on January 25th, 2023. The cruise took place in the South Pacific and Southern Oceans aboard the R/V Roger Revelle with a team of 34 scientists led by Ben Twining (Chief Scientist), Jessica Fitzsimmons, and Greg Cutter (Co-Chief Scientists). GP17 was planned as a two-leg expedition, with its first leg (GP17-OCE) as a southward extension of the 2018 GP15 Alaska-Tahiti expedition and a second leg (GP17-ANT; December 2023-January 2024) into coastal and shelf waters of Antarctica's Amundsen Sea.\n\ncdm_data_type = Other\nVARIABLES:\nCruise (unitless)\nEvent (unitless)\nInstrument (unitless)\nAction (unitless)\nTransect (unitless)\nStation (unitless)\nCast (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\nsample_depth_min (m)\nsample_depth_max (m)\nGEOTRACES_ID_Num_Range (unitless)\nSeafloor (meters (m))\nAuthor (unitless)\nComment (unitless)\nDateTimeUTC (unitless)\nISO_DateTime_UTC (seconds since 1970-01-01T00:00:00Z)\nGPS_Time (seconds since 1970-01-01T00:00:00Z)\nRevisions (unitless)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_927550_v2_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_927550_v2_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_927550_v2/index.htmlTable https://osprey.bco-dmo.org/dataset/927550 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_927550_v2.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_927550_v2&showErrors=false&email= BCO-DMO bcodmo_dataset_927550_v2
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_993204_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_993204_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_993204_v1/ public [GP17-OCE Fe-binding ligands] - Dissolved iron-binding ligand concentrations and conditional stability constants in surface and water column samples collected on US GEOTRACES GP17-OCE cruise (R/V Roger Revelle RR2214) in the South Pacific and Southern Oceans from Dec 2022 to Jan 2023 (Collaborative Research: U.S. GEOTRACES GP17-OCE and GP17-ANT: Characterizing iron-binding organic ligands in the Southern Ocean and implications for iron cycling in the global ocean) Iron is an essential micronutrient for marine life, and its binding by organic binding ligands is one of the main drivers of its distribution across the world ocean. This dataset includes the concentration and conditional stability constant of dissolved iron-binding ligands in the samples collected during the U.S. GEOTRACES GP17-OCE cruise. The objective of the cruise was to investigate the distribution of trace metals and dependent variables in a vast region of the South Pacific and Southern Ocean. The cruise departed Tahiti (French Polynesia) on December 1, 2022, and arrived in Punta Arenas (Chile) on January 25, 2023, crossing the Western South Pacific gyre, the Pacific-Antarctic ridge, the Southern Pacific Ocean, and the Chilean margin. Seawater samples were collected using trace metal clean techniques and stored frozen (-20 degrees Celsius) until analysis by Dr. Léo Mahieu in Kristen Buck's Elemental Ocean Lab, Oregon State University. \n\nThe regions crossed during this transect represent a diversity of nutrient regimes, from oligotrophic to high nutrient-low chlorophyll systems, and deep waters were influenced by different hydrothermal systems, namely the East Pacific rise and the Pacific Antarctic ridge. This transect also crossed regions of intermediate and mode water mass formation, and the dynamic frontal system separating the warm South Pacific Ocean and the cold Southern Ocean. This cruise was a unique opportunity to investigate this vast and sparsely studied region, and our observations highlight potential processes leading to variations in iron-binding ligand characteristics along the water column across regions, fronts, nutrient regimes, hydrothermal influence, and water masses.\n\ncdm_data_type = Other\nVARIABLES:\nCRUISE (unitless)\nSAMPLE_ID (unitless)\nSTATION (unitless)\nDATE (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\nPLATFORM (unitless)\ndepth (m)\nFe_D_CONC_BOTTLE (nanomole per liter (nM))\n... (43 more variables)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_993204_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_993204_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_993204_v1/index.htmlTable https://osprey.bco-dmo.org/dataset/993204 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_993204_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_993204_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_993204_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_927640_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_927640_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_927640_v1/ public [GP17-OCE GTC Bottle] - Bottle data from CTD profiles from the GTC rosette deployed on the US GEOTRACES GP17-OCE cruise on R/V Roger Revelle (RR2214) from December 2022 to January 2023 (US GEOTRACES GP17 Section: South Pacific and Southern Ocean (GP17-OCE)) This dataset includes the processed bottle data from CTD profiles of the GTC rosette deployed on the US GEOTRACES GP17-OCE cruise on R/V Roger Revelle (RR2214) from December 2022 to January 2023. Data were processed by the Oceanographic Data Facility (ODF) at Scripps Institution of Oceanography. The data include bottle salinity, in addition to CTD measurements (oxygen, salinity, temperature, pressure).\n\ncdm_data_type = Other\nVARIABLES:\nCruise (unitless)\nEXPOCODE (unitless)\nSECT_ID (unitless)\nSTNNBR (unitless)\nType (unitless)\nCASTNO (unitless)\nSAMPNO (unitless)\nBTLNBR (unitless)\nEVENT_NUMBER (unitless)\nGEOTRC_SAMPNO (unitless)\ntime (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\nlongitude (degrees_east)\nlatitude (degrees_north)\nBot_Depth (meters (m))\nCTDPRS (decibars (db))\nQV_WOCECTD_CTDPRS (unitless)\nCTDTMP (degrees Celsius)\nQV_WOCECTD_CTDTMP (unitless)\nCTDSAL (PSU)\nQV_WOCECTD_CTDSAL (unitless)\nCTDOXY (micromoles per kilogram (umol/kg))\nQV_WOCECTD_CTDOXY (unitless)\nSALINITY_D_CONC_BOTTLE (PSU)\nQV_WOCEBOTTLE_SALNTY (unitless)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_927640_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_927640_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_927640_v1/index.htmlTable https://osprey.bco-dmo.org/dataset/927640 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_927640_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_927640_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_927640_v1
log in [GP17-OCE GTC Bottle] - Bottle data from CTD profiles from the GTC rosette deployed on the US GEOTRACES GP17-OCE cruise on R/V Roger Revelle (RR2214) from December 2022 to January 2023 (US GEOTRACES GP17 Section: South Pacific and Southern Ocean (GP17-OCE)) This dataset includes the processed bottle data from CTD profiles of the GTC rosette deployed on the US GEOTRACES GP17-OCE cruise on R/V Roger Revelle (RR2214) from December 2022 to January 2023. Data were processed by the Oceanographic Data Facility (ODF) at Scripps Institution of Oceanography. The data include bottle salinity, in addition to CTD measurements (oxygen, salinity, temperature, pressure).\n\ncdm_data_type = Other\nVARIABLES:\nCruise (unitless)\nEXPOCODE (unitless)\nSECT_ID (unitless)\nSTNNBR (unitless)\nType (unitless)\nCASTNO (unitless)\nSAMPNO (unitless)\nBTLNBR (unitless)\nEVENT_NUMBER (unitless)\nGEOTRC_SAMPNO (unitless)\ntime (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\nlongitude (degrees_east)\nlatitude (degrees_north)\nBot_Depth (meters (m))\nCTDPRS (decibars (db))\nQV_WOCECTD_CTDPRS (unitless)\nCTDTMP (degrees Celsius)\nQV_WOCECTD_CTDTMP (unitless)\nCTDSAL (PSU)\nQV_WOCECTD_CTDSAL (unitless)\nCTDOXY (micromoles per kilogram (umol/kg))\nQV_WOCECTD_CTDOXY (unitless)\nSALINITY_D_CONC_BOTTLE (PSU)\nQV_WOCEBOTTLE_SALNTY (unitless)\n BCO-DMO bcodmo_dataset_927640_v2
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_993613_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_993613_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_993613_v1/ public [GP17-OCE iron organic ligand distributions] - Solid phase extracted (SPE) metal distributions collected on the US GEOTRACES GP17-OCE cruise on R/V Roger Revelle (RR2214) in the South Pacific and Southern Oceans from December 2022 to January 2023 (US GEOTRACES GP17 Section: South Pacific and Southern Ocean (GP17-OCE)) Molecular speciation affects the solubility, bioavailability, toxicity, scavenging and regeneration rates, and water column residence times of trace elements in the ocean. The molecular speciation of trace elements is what microbes \"sense\" and respond to. Here, we report the molecular speciation of iron and iodine in water samples collected as part of the US GEOTRACES GP17 expedition from Tahiti to Punta Areanas, Chile. Dissolved organic matter in filtered seawater was recovered by solid phase extraction onto hydrophobic resins, and recovered with organic solvent. Trace element organic complexes were characterized and quantified by liquid chromatography coupled to inductively coupled mass spectrometry.\n\ncdm_data_type = Other\nVARIABLES:\nStation (unitless)\nGEOTRACES_ID (unitless)\nCast (unitless)\ntime (Start_iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\nStart_Date (unitless)\nStart_Time (unitless)\nEvent (unitless)\nSeafloor (meter (m))\nlatitude (degrees_north)\nlongitude (degrees_east)\ndepth (m)\nTotalFeLigands_56_DSPEENV_CONC_BOTTLE (nanomole per litre (nM))\nHydrophilicFeLigands_56_DSPEENV_CONC_BOTTLE (nanomole per litre (nM))\nIntermediateFeLigands_56_DSPEENV_CONC_BOTTLE (nanomole per litre (nM))\nHydrophobicFeLigands_56_DSPEENV_CONC_BOTTLE (nanomole per litre (nM))\nTotalIodine_127_DSPEENV_CONC_BOTTLE (nanomole per litre (nM))\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_993613_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_993613_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_993613_v1/index.htmlTable https://osprey.bco-dmo.org/dataset/993613 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_993613_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_993613_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_993613_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_955717_v2 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_955717_v2.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_955717_v2/ public [GP17-OCE ODF Bottle] - Bottle data from CTD profiles from the ODF rosette deployed on the US GEOTRACES GP17-OCE cruise on R/V Roger Revelle (RR2214) from December 2022 to January 2023 (US GEOTRACES GP17 Section: South Pacific and Southern Ocean (GP17-OCE)) This dataset includes the processed bottle data from CTD profiles of the ODF rosette deployed on the US GEOTRACES GP17-OCE cruise on R/V Roger Revelle (RR2214) from December 2022 to January 2023. Data were processed by the Oceanographic Data Facility (ODF) at Scripps Institution of Oceanography. The data include bottle salinity and oxygen, in addition to CTD measurements (oxygen, salinity, temperature, pressure).\n\ncdm_data_type = Other\nVARIABLES:\nCruise (unitless)\nEXPOCODE (unitless)\nSECT_ID (unitless)\nSTNNBR (unitless)\nType (unitless)\nCASTNO (unitless)\nSAMPNO (unitless)\nBTLNBR (unitless)\nEVENT_NUMBER (unitless)\nGEOTRC_SAMPNO (unitless)\ntime (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\nlongitude (degrees_east)\nlatitude (degrees_north)\nBot_Depth (meters (m))\nCTDPRS (decibars (db))\nQV_WOCECTD_CTDPRS (unitless)\nCTDTMP (degrees Celsius)\nQV_WOCECTD_CTDTMP (unitless)\nCTDSAL (PSU)\nQV_WOCECTD_CTDSAL (unitless)\nCTDOXY (micromoles per kilogram (umol/kg))\nQV_WOCECTD_CTDOXY (unitless)\nSALINITY_D_CONC_BOTTLE (PSU)\n... (5 more variables)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_955717_v2_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_955717_v2_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_955717_v2/index.htmlTable https://osprey.bco-dmo.org/dataset/955717 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_955717_v2.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_955717_v2&showErrors=false&email= BCO-DMO bcodmo_dataset_955717_v2
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_933861_v2 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_933861_v2.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_933861_v2/ public [GP17-OCE ODF nutrients] - Nutrients and bottle oxygen measured by the Scripps ODF group on the US GEOTRACES GP17-OCE cruise on R/V Roger Revelle (RR2214) from December 2022 to January 2023 in the South Pacific and Southern Oceans (US GEOTRACES GP17 Section: South Pacific and Southern Ocean (GP17-OCE)) This dataset includes the nutrients and bottle oxygen measurements made by the Ocean Data Facility (ODF) group of  Scripps Institution of Oceanography during the US GEOTRACES GP17-OCE cruise. The cruise took place on R/V Roger Revelle (cruise ID RR2214) from December 2022 to January 2023 in the South Pacific and Southern Oceans.\n\ncdm_data_type = Other\nVARIABLES:\nEXPOCODE (unitless)\nSECT_ID (unitless)\nSTNNBR (unitless)\nCASTNO (unitless)\nSAMPNO (unitless)\nBTLNBR (unitless)\nBTLNBR_FLAG_W (unitless)\nEVENT_NUMBER (unitless)\nGEOTRC_SAMPNO (unitless)\ntime (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\nDATE (unitless)\ntime_unitless (Time, unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\ndepth (m)\nREFTMP (degrees Celsius)\nREFTMP_FLAG_W (unitless)\nBTL_ISO_DateTime_UTC (seconds since 1970-01-01T00:00:00Z)\nBTL_DATE (unitless)\nBTL_TIME (unitless)\nBTL_LAT (degrees_north)\nBTL_LON (degrees_east)\nCTDPRS (decibars (dbar))\nCTDPRS_FLAG_W (unitless)\n... (46 more variables)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_933861_v2_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_933861_v2_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_933861_v2/index.htmlTable https://osprey.bco-dmo.org/dataset/933861 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_933861_v2.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_933861_v2&showErrors=false&email= BCO-DMO bcodmo_dataset_933861_v2
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_955866_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_955866_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_955866_v1/ public [GP17-OCE phytoplankton pigments] - Phytoplankton pigment concentrations for samples collected from the upper 200 meters during the GP17-OCE cruise on R/V Roger Revelle (RR2214) in the South Pacific and Southern Oceans from December 2022 to January 2023 (US GEOTRACES GP17 Section: South Pacific and Southern Ocean (GP17-OCE)) This dataset contains phytoplankton pigment concentrations for samples collected from the upper 200 meters at most stations along the GP17-OCE cruise on R/V Roger Revelle (RR2214), from Tahiti south across the Antarctic Circumpolar Current to 67S, then east towards Chile. Samples were collected at the upper-most 4-6 stations, and from surface waters with a towed fish. The expedition took place from December 2022 to January 2023.\n\ncdm_data_type = Other\nVARIABLES:\nStation_ID (unitless)\nEvent_ID (unitless)\nGear_ID (unitless)\nStart_ISO_DateTime_UTC (seconds since 1970-01-01T00:00:00Z)\nStart_Date_UTC (unitless)\nStart_Time_UTC (unitless)\nEnd_ISO_DateTime_UTC (seconds since 1970-01-01T00:00:00Z)\nEnd_Date_UTC (unitless)\nEnd_Time_UTC (unitless)\nStart_Latitude (degrees_north)\nStart_Longitude (degrees_east)\nEnd_Latitude (degrees_north)\nEnd_Longitude (degrees_east)\nRosette_Position (unitless)\nSample_ID (unitless)\ndepth (Sample_depth, m)\nChl_b_HPLC_TP_CONC_BOTTLE_jpcktv (nanograms per liter (ng/L))\nSD1_Chl_b_HPLC_TP_CONC_BOTTLE_jpcktv (nanograms per liter (ng/L))\nFlag_Chl_b_HPLC_TP_CONC_BOTTLE_jpcktv (unitless)\nAlpha_Car_HPLC_TP_CONC_BOTTLE_a9ppew (nanograms per liter (ng/L))\nSD1_Alpha_Car_HPLC_TP_CONC_BOTTLE_a9ppew (nanograms per liter (ng/L))\nFlag_Alpha_Car_HPLC_TP_CONC_BOTTLE_a9ppew (unitless)\nPerid_HPLC_TP_CONC_BOTTLE_rwxkre (nanograms per liter (ng/L))\n... (51 more variables)\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_955866_v1/index.htmlTable https://osprey.bco-dmo.org/dataset/955866 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_955866_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_955866_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_955866_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_991532_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_991532_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_991532_v1/ public [GP17-OCE Silicon stable isotopes] - Silicon stable isotopes for samples collected from surface to depth on the US GEOTRACES GP17-OCE cruise on R/V Roger Revelle (RR2214) from December 2022 to January 2023 (US GEOTRACES GP17 Section: South Pacific and Southern Ocean (GP17-OCE)) Silicon isotopes have proven to be a powerful tool for understanding silica cycling on unprecedented spatial and temporal scales in the modern ocean. This dataset contains profiles of silicon isotopes for samples collected from surface to depth at most stations along the GEOTRACES GP17-OCE cruise on R/V Roger Revelle (RR2214), from Tahiti south across the Antarctic Circumpolar Current to 67S, then east towards Chile.\n\ncdm_data_type = Other\nVARIABLES:\nStation_ID (unitless)\nEvent_ID (unitless)\ntime (Start_iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\nStart_Date_UTC (unitless)\nStart_Time_UTC (unitless)\nlatitude (Start_latitude, degrees_north)\nlongitude (Start_longitude, degrees_east)\nRosette_Position (unitless)\nSample_ID (unitless)\ndepth (Sample_depth, m)\nSILICATE_30_28_D_DELTA_BOTTLE_t2r8zs (per mil)\nSD1_SILICATE_30_28_D_DELTA_BOTTLE_t2r8zs (per mil)\nFlag_SILICATE_30_28_D_DELTA_BOTTLE_t2r8zs (unitless)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_991532_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_991532_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_991532_v1/index.htmlTable https://osprey.bco-dmo.org/dataset/991532 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_991532_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_991532_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_991532_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_945724_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_945724_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_945724_v1/ public [GP17-OCE Size-fractionated particulate inorganic carbon (PIC)] - Size-fractionated particulate inorganic carbon (PIC) in particles collected by in-situ filtration on the US GEOTRACES GP17-OCE cruise on R/V Roger Revelle (RR2214) in the South Pacific and Southern Oceans from December 2022 to January 2023 (US GEOTRACES GP17 Section: South Pacific and Southern Ocean (GP17-OCE)) This dataset is the first of many that describe the major, minor, and trace element composition of size-fractionated particles collected by in-situ filtration on the US GEOTRACES GP17 Section: South Pacific and Southern Ocean (GP17-OCE). The cruise departed Papeete, Tahiti (French Polynesia) on December 1, 2022 and arrived in Punta Arenas, Chile on January 25, 2023, sampling in the South Pacific and Southern Oceans aboard the R/V Roger Revelle (RR2214). This dataset focuses on particulate inorganic carbon (PIC) concentrations.\n\ncdm_data_type = Other\nVARIABLES:\nGTNum (unitless)\nStation (unitless)\nCast_Type (unitless)\nPump (unitless)\nCast_Number (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\nBot_Depth (meters (m))\ntime (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\ndepth (m)\nQMA_volume_filtered (liters (L))\nPIC_SPT_nM (nanomolar (nM))\nQV_SEADATANET_PIC_SPT_nM (unitless)\nSTANDARD_DEV_PIC_SPT_nM (nanomolar (nM))\nPIC_LPT_nM (nanomolar (nM))\nQV_SEADATANET_PIC_LPT_nM (unitless)\nSTANDARD_DEV_PIC_LPT_nM (nanomolar (nM))\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_945724_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_945724_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_945724_v1/index.htmlTable https://osprey.bco-dmo.org/dataset/945724 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_945724_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_945724_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_945724_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_987524_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_987524_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_987524_v1/ public [GP17-OCE Underway Net Community Production] - Underway net community production from the US GEOTRACES GP17-OCE cruise on R/V Roger Revelle (RR2214) in the Pacific and Southern Oceans from November 2022 to January 2023 (US GEOTRACES GP17 Section: South Pacific and Southern Ocean (GP17-OCE)) These data include underway temperature, salinity, dissolved oxygen (O2), satellite-derived chlorophyll a and net primary production, and budget-derived net community production (NCP) collected during the US GEOTRACES GP17-OCE cruise from San Diego to Punta Arenas in the Pacific and Southern Oceans. By integrating underway O2 measurements with global O2 data products and satellite data, all components of the surface oxygen budget were constrained, with NCP estimated as the residual term. Our results not only significantly advance understanding of the ocean's biological pump (BP) across diverse biogeochemical regimes but also help validate export estimates from satellite-based productivity algorithms. Since underway O2 data are commonly collected on most research ships, such as during the Global Ship-Based Hydrographic Investigations Program (GO-SHIP), our method for estimating NCP can be applied on a global scale, which contributes to a more comprehensive understanding of the regional variations of the strength of the BP, especially at sub-seasonal time scales.\n\ncdm_data_type = Other\nVARIABLES:\ntime (Date_1day, seconds since 1970-01-01T00:00:00Z)\nlatitude (Latitude_1day, degrees_north)\nLatitude_std_1day (degrees_north)\nlongitude (Longitude_1day, degrees_east)\nLongitude_std_1day (degrees_east)\nStation_1day (unitless)\nTemperature_1day (degrees Celsius)\nTemperature_std_1day (degrees Celsius)\nSalinity_1day (PSU)\nSalinity_std_1day (PSU)\nO2_1day (micromoles per liter (umol L-1))\nO2_std_1day (micromoles per liter (umol L-1))\nO2_saturation_1day (micromoles per liter (umol L-1))\nO2_saturation_std_1day (micromoles per liter (umol L-1))\nO2_saturation_anomaly_1day (percent (%))\nO2_saturation_anomaly_std_1day (percent (%))\n... (22 more variables)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_987524_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_987524_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_987524_v1/index.htmlTable https://osprey.bco-dmo.org/dataset/987524 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_987524_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_987524_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_987524_v1
log in [GP17-OCE Water Column Radium Isotopes] - Measurements of the dissolved isotope radium-226 from samples collected on the US GEOTRACES GP17-OCE cruise on R/V Roger Revelle (RR2214) in the South Pacific and Southern Oceans from December 2022 to January 2023 (US GEOTRACES GP17-OCE: Investigating the role of the Southern Ocean's biogeochemical divide in shaping the global distributions of radium and barium isotopes) This dataset includes measurements of the dissolved isotope radium-226 in the South Pacific and Southern Ocean. Samples were collected on the US GEOTRACES GP17-OCE cruise (Papeete, Tahiti to Punta Arenas, Chile) on R/V Roger Revelle from December 2022 to January 2023. Radium-223, radium-224, and radium-228 data will be made available in the future.\n\ncdm_data_type = Other\nVARIABLES:\nCruise_ID (unitless)\nStation_ID (unitless)\nGEOTRC_CASTNO (unitless)\nGEOTRC_INSTR (unitless)\nStart_Date_UTC (unitless)\nStart_Time_UTC (unitless)\ntime (Start_iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\nEnd_Date_UTC (unitless)\nEnd_Time_UTC (unitless)\nEnd_ISO_DateTime_UTC (seconds since 1970-01-01T00:00:00Z)\nlatitude (Start_latitude, degrees_north)\nlongitude (Start_longitude, degrees_east)\nEnd_Latitude (degrees_north)\nEnd_Longitude (degrees_east)\nEvent_ID (unitless)\nSample_ID (unitless)\ndepth (Sample_depth, m)\nRa_226_D_CONC_BOTTLE_xuuvtd (milliBecquerels per kilogram (mBq/kg))\nSD1_Ra_226_D_CONC_BOTTLE_xuuvtd (milliBecquerels per kilogram (mBq/kg))\nFlag_Ra_226_D_CONC_BOTTLE_xuuvtd (unitless)\nRa_226_D_CONC_PUMP_faz5oh (milliBecquerels per kilogram (mBq/kg))\nSD1_Ra_226_D_CONC_PUMP_faz5oh (milliBecquerels per kilogram (mBq/kg))\nFlag_Ra_226_D_CONC_PUMP_faz5oh (unitless)\nRa_226_D_CONC_UWAY_0nplfd (milliBecquerels per kilogram (mBq/kg))\nSD1_Ra_226_D_CONC_UWAY_0nplfd (milliBecquerels per kilogram (mBq/kg))\nFlag_Ra_226_D_CONC_UWAY_0nplfd (unitless)\n BCO-DMO bcodmo_dataset_944841_v1
log in [GP17-OCE Water column total and particulate Th-234] - Water column total and particulate Thorium-234 from the US GEOTRACES GP17-OCE cruise on R/V Roger Revelle (RR2214) in the South Pacific and Southern Oceans from December 2022 to January 2023 (Collaborative Research: US GEOTRACES GP17-OCE and GP17-ANT:  Export and remineralization rates of bioactive and particle reactive trace elements using thorium-234) This dataset reports water column total Thorium-234 from GP17-OCE (Tahiti, French Polynesia to Punta Arenas, Chile) of the US GEOTRACES cruise on R/V Roger Revelle from December 2022 to January 2023. U-238 from U-salinity relationship was also determined but not reported in this dataset. This data can be made available upon request from the PI and/or dataset contact. Methods are described below.\n\ncdm_data_type = Other\nVARIABLES:\nStation_ID (unitless)\nEvent_ID (unitless)\nGear_ID (unitless)\nStart_Date_UTC (unitless)\nStart_Time_UTC (unitless)\ntime (Start_iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\nEnd_Date_UTC (unitless)\nEnd_Time_UTC (unitless)\nEnd_ISO_DateTime_UTC (seconds since 1970-01-01T00:00:00Z)\nlatitude (Start_latitude, degrees_north)\nlongitude (Start_longitude, degrees_east)\nEnd_Latitude (degrees_north)\nEnd_Longitude (degrees_east)\nRosette_Position (unitless)\nSample_ID (unitless)\ndepth (Sample_depth, m)\nTh_234_T_CONC_BOTTLE_82mvlk (milliBecquerel per kilogram (mBq/kg))\nSD1_Th_234_T_CONC_BOTTLE_82mvlk (milliBecquerel per kilogram (mBq/kg))\nFlag_Th_234_T_CONC_BOTTLE_82mvlk (unitless)\nTh_234_LPT_CONC_PUMP_cgdpur (milliBecquerel per kilogram (mBq/kg))\nSD1_Th_234_LPT_CONC_PUMP_cgdpur (milliBecquerel per kilogram (mBq/kg))\nFlag_Th_234_LPT_CONC_PUMP_cgdpur (unitless)\nTh_234_SPT_CONC_PUMP_sgquid (milliBecquerel per kilogram (mBq/kg))\nSD1_Th_234_SPT_CONC_PUMP_sgquid (milliBecquerel per kilogram (mBq/kg))\nFlag_Th_234_SPT_CONC_PUMP_sgquid (unitless)\n BCO-DMO bcodmo_dataset_985536_v1
log in [GPS waypoints] - GPS waypoints for habitat complexity photos collected along the Northern Central California coast from 2017 to 2021 (Collaborative Proposal: Selection and Genetic Succession in the Intertidal -- Population Genomics of Pisaster ochraceus During a Wasting Disease Outbreak and its Aftermath) GPS waypoints for habitat complexity photos collected along the Northern Central California coast from 2017 to 2021.\n\ncdm_data_type = Other\nVARIABLES:\nwpt_ID (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\nDate (unitless)\ntime (seconds since 1970-01-01T00:00:00Z)\nSite (unitless)\nArea (unitless)\nGPS_name (unitless)\nGPS_ID (unitless)\n BCO-DMO bcodmo_dataset_750667_v3
log in [Grazing experiment phytoplankton] - Shipboard grazing experiment phytoplankton data from the mid-Atlantic Bight Shelfbreak on R/V Neil Armstrong cruise AR29, R/V Ronald H. Brown cruise RB1904 and R/V Thomas G. Thompson cruise TN368 in April 2018 and May/July2019 (Collaborative Research:  Shelfbreak Frontal Dynamics: Mechanisms of Upwelling, Net Community Production, and Ecological Implications) As part of the Shelfbreak Productivity Interdisciplinary Research Operation at the Pioneer Array (SPIROPA) Project, twelve grazing experiments were conducted during each of three research cruises (April of 2018, and May and July of 2019) in the Middle Atlantic Bight to estimate community zooplankton grazing and net phytoplankton growth rates. Stations where the experiments were conducted were strategically located in one of three key cross-shelf water mass regimes: (1) at the shelfbreak front, (2) inshore of the front in continental shelf water and (3) offshore of the front in slope water. Grazing incubations were performed on water sampled from the chlorophyll maximum, when present. The experiments included two \"treatments\": 1. whole water incubations and incubations on the <200 µm fraction of the plankton commuinity.  All experiments were run in triplicate for 24 hours in flow-thru deck incubators and consisted of a dark treatment incubation and a light treatment incubation at a simulated 30% E0.\n\ncdm_data_type = Other\nVARIABLES:\nExp_and_count_no (unitless)\nSample_ID_Number (unitless)\nSample_ID (unitless)\nCruise (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\nExperiment_No (unitless)\nDate_Collected (unitless)\nStation (unitless)\nDepth_M (meters)\nWater_Mass_Region (unitless)\nMicro_or_WW (unitless)\nTreatment_Replicate (unitless)\nDate_time_start (unitless)\nDate_time_stop (unitless)\ndelta_t_day (day)\nOriginal_Volume_L (Liters)\n... (6 more variables)\n BCO-DMO bcodmo_dataset_961570_v1
log in [Grazing experiment zooplankton] - Shipboard grazing experiment zooplankton data from the mid-Atlantic Bight Shelfbreak on R/V Neil Armstrong cruise AR29, R/V Ronald H. Brown cruise RB1904 and R/V Thomas G. Thompson cruise TN368 in April 2018 and May/July2019 (Collaborative Research:  Shelfbreak Frontal Dynamics: Mechanisms of Upwelling, Net Community Production, and Ecological Implications) As part of the Shelfbreak Productivity Interdisciplinary Research Operation at the Pioneer Array (SPIROPA) Project, twelve grazing experiments were conducted during each of three research cruises (April of 2018, and May and July of 2019) in the Middle Atlantic Bight to estimate community zooplankton grazing and net phytoplankton growth rates. Stations where the experiments were conducted were strategically located in one of three key cross-shelf water mass regimes: (1) at the shelfbreak front, (2) inshore of the front in continental shelf water and (3) offshore of the front in slope water. Grazing incubations were performed on water sampled from the chlorophyll maximum, when present. The experiments included two \"treatments\": 1. whole water incubations and incubations on the <200 µm fraction of the plankton communinity.  All experiments were run in triplicate for 24 hours in flow-thru deck incubators and consisted of a dark treatment incubation and a light treatment incubation at a simulated 30% E0.\n\ncdm_data_type = Other\nVARIABLES:\nCruise (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\nDate_Collected (unitless)\nStation (unitless)\nDepth_M (meters)\nWater_Mass_Region (unitless)\nDate_time_start (unitless)\nDate_time_stop (unitless)\ndelta_t_day (day)\nExperiment_No (unitless)\nTreatment (unitless)\nReplicate (unitless)\ncopepod_nauplii (animals/cubic meter)\nOithona_copepodite (animals/cubic meter)\ncalanoid_copepodite (animals/cubic meter)\nAcartia_female (animals/cubic meter)\n... (34 more variables)\n BCO-DMO bcodmo_dataset_957833_v1
log in [Grazing saturation culture experiments using single prey (M.pusilla) and predator (O.danica)] - Flow cytometric counts from grazing saturation culture experiment using single prey (Micromonas pusilla) and predator (Ochromonas danica) (EAGER: A Saturation Approach to Microzooplankton Grazing Rate Determination) Flow cytometric counts of the picoeukaryote, Micromonas pusilla and 2 um green fluorescent bead abundance (Ochromonas danica was used as the predator) in laboratory-culture experiments to demonstrate the saturation approach.\n\ncdm_data_type = Other\nVARIABLES:\nDate (unitless)\nExperiment (unitless)\nDuration (day (d))\nBeads_T0 (beads per milliliter (beads/ml))\nMicromonas_T0 (cells per milliliter (cells/ml))\nBeads_T24 (beads per milliliter (beads/ml))\nMicromonas_T24 (cells per milliliter (cells/ml))\n BCO-DMO bcodmo_dataset_905469_v1
log in [Green Crab Density 1973 to 2021] - Green Crab Density for Multiple Sites in the Gulf of Maine for 1973, 2003, 2017-2018 and 2021 (Local adaptation and the evolution of plasticity under predator invasion and warming seas: consequences for individuals, populations and communities) The impact of invasive predators during the early stages of invasion is often variable in space and time. Such variation is expected to initially favor plasticity in prey defenses but fixed defenses as invaders become established. This dataset contains green crab density (Carcinus maenas) data for multiple sites throughout the Gulf of Maine that were collected in 1973, 2003, 2017-2018 and 2021. These data were used to examine historical changes in the latitudinal distribution of green crabs and their potential role in shaping spatiotemporal changes in snail (Littorina obtusata) shell thickness and thickness plasticity.\n\ncdm_data_type = Other\nVARIABLES:\nSite (unitless)\nYear (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\nMonth (unitless)\nGreen_Crab_Density (number per person hour)\n BCO-DMO bcodmo_dataset_990378_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_911365_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_911365_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_911365_v1/ public [Green Crab Density] - Green crab (Carcinus maenas) density at rocky intertidal sites determined at 8 sites in the Gulf of Maine from April 2019 to December 2021 (Local adaptation and the evolution of plasticity under predator invasion and warming seas: consequences for individuals, populations and communities) This dataset describes green crab (Carcinus maenas) density at rocky intertidal sites in the northern (4 sites) and southern (4 sites) Gulf of Maine.\n\ncdm_data_type = Other\nVARIABLES:\nYEAR (unitless)\nMONTH (unitless)\nREGION (unitless)\nSITE_NAME (unitless)\nLATITUDE (degrees_north)\nlongitude (degrees_east)\nGreen_Crab_Density (number of crabs)\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_911365_v1/index.htmlTable https://www.bco-dmo.org/dataset/911365 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_911365_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_911365_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_911365_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_927568_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_927568_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_927568_v1/ public [GS02 Beryllium-7 in seawater and aerosols] - Aerosol and seawater beryllium-7 concentrations from the French GEOTRACES GS02 SWINGS cruise aboard R/V Marion-Dufresne (MD229) from January to March 2021 (Collaborative Research: Quantifying the atmospheric flux of bio-active trace elements to the southwestern Indian Ocean) Beryllium-7, a cosmogenic radioactive isotope with a half-life of 53.3 days, is formed in the atmosphere, attaches to aerosol particles, and is deposited on the earth's surface through wet and dry processes. In this project, we measured Be-7 concentrations in aerosol particles and in seawater samples (depths < 200 meters) collected on the French GEOTRACES section GS02 SWINGS cruise aboard R/V Marion-Dufresne. The cruise originated at Réunion Island on 11 January 2021 and concluded at Réunion on 8 March 2021. Nineteen aerosol samples and seawater from eleven stations in the South Indian Ocean were collected. The dataset will be used to study the deposition of trace elements and isotopes (TEIs) and upper ocean mixing processes. Aerosol deposition is an important source of TE micronutrients to open ocean areas that are far removed from riverine sources. But, while the collection aerosol of samples for TEI analysis is straightforward, estimating the deposition flux also requires an appropriate deposition velocity (i.e. deposition flux is the product of the aerosol concentration and deposition velocity). Because Be-7 is supplied to the open ocean exclusively through aerosol deposition and it is removed through radioactive decay, the water column inventory and aerosol concentration of Be-7 can be used to derive the deposition velocity applicable to aerosol TEIs.\n\ncdm_data_type = Other\nVARIABLES:\nStation_ID (unitless)\nEvent_ID (unitless)\nStart_Date_UTC (unitless)\nStart_Time_UTC (unitless)\ntime (Start_iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\nEnd_Date_UTC (unitless)\nEnd_Time_UTC (unitless)\nEnd_ISO_DateTime_UTC (seconds since 1970-01-01T00:00:00Z)\nlatitude (Start_latitude, degrees_north)\nlongitude (Start_longitude, degrees_east)\nEnd_Latitude (degrees_north)\nEnd_Longitude (degrees_east)\nSample_ID (unitless)\n... (7 more variables)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_927568_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_927568_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_927568_v1/index.htmlTable https://www.bco-dmo.org/dataset/927568 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_927568_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_927568_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_927568_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_958920_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_958920_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_958920_v1/ public [GT10 (GA03) Bulk Aerosol Fe isotopes - KN199-04] - Total aerosol iron isotope ratios from the 2010 GA03 U.S. GEOTRACES North Atlantic Transect Cruise, KN199-04, on R/V Knorr (U.S. GEOTRACES North Atlantic Transect (GA03)) This dataset includes total aerosol iron isotope ratios from the GA03 U.S. GEOTRACES North Atlantic Transect Cruise, KN199-04, on R/V Knorr which took place from October to November 2010.\n\ncdm_data_type = Other\nVARIABLES:\nStation_ID (unitless)\nEvent_ID (unitless)\ntime (Start_iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\nStart_Date_UTC (unitless)\nStart_Time_UTC (unitless)\nEnd_ISO_DateTime_UTC (seconds since 1970-01-01T00:00:00Z)\nEnd_Date_UTC (unitless)\nEnd_Time_UTC (unitless)\nlatitude (Start_latitude, degrees_north)\nlongitude (Start_longitude, degrees_east)\nEnd_Latitude (degrees_north)\nEnd_Longitude (degrees_east)\nSample_ID (unitless)\nFe_56_54_A_T_DELTA_HIVOL_yqcbow (per 10^3)\nSD1_Fe_56_54_A_T_DELTA_HIVOL_yqcbow (per 10^3)\nFlag_Fe_56_54_A_T_DELTA_HIVOL_yqcbow (unitless)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_958920_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_958920_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_958920_v1/index.htmlTable https://osprey.bco-dmo.org/dataset/958920 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_958920_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_958920_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_958920_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_958934_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_958934_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_958934_v1/ public [GT11 (GA03) Bulk Aerosol Fe isotopes - KN204-01] - Total aerosol iron isotope ratios from the 2011 GA03 U.S. GEOTRACES North Atlantic Transect Cruise, KN204-01, on R/V Knorr (U.S. GEOTRACES North Atlantic Transect (GA03)) This dataset includes total aerosol iron isotope ratios from the GA03 U.S. GEOTRACES North Atlantic Transect Cruise, KN204-01, on R/V Knorr which took place from November to December 2011.\n\ncdm_data_type = Other\nVARIABLES:\nStation_ID (unitless)\nEvent_ID (unitless)\ntime (Start_iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\nStart_Date_UTC (unitless)\nStart_Time_UTC (unitless)\nEnd_ISO_DateTime_UTC (seconds since 1970-01-01T00:00:00Z)\nEnd_Date_UTC (unitless)\nEnd_Time_UTC (unitless)\nlatitude (Start_latitude, degrees_north)\nlongitude (Start_longitude, degrees_east)\nEnd_Latitude (degrees_north)\nEnd_Longitude (degrees_east)\nSample_ID (unitless)\nFe_56_54_A_T_DELTA_HIVOL_btjjlt (per 10^3)\nSD1_Fe_56_54_A_T_DELTA_HIVOL_btjjlt (per 10^3)\nFlag_Fe_56_54_A_T_DELTA_HIVOL_btjjlt (unitless)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_958934_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_958934_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_958934_v1/index.htmlTable https://osprey.bco-dmo.org/dataset/958934 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_958934_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_958934_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_958934_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_995189_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_995189_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_995189_v1/ public [GTseq KW 2015-2017] - GTseq DNA sequencing of Kelletia kelletii collected in California, USA and Baja, Mexico from 2015 to 2017 (Collaborative Research: RUI: Combined spatial and temporal analyses of population connectivity during a northern range expansion) Climate-driven warming and changes in major ocean currents enable poleward transport and range expansions of many marine species. Here, we report the population genetic assignment of post-dispersal recruits to pre-dispersal natal source locations for the gastropod Kellet's whelk (Kelletia kelletii), a commercial fisheries species and subtidal predator with top-down food web effects, whose populations have recently undergone climate-driven northward range expansion. \n\n\nThis dataset includes sample id, collection site and year, tissue type, length, and extraction information for samples sequenced. Samples were collected between 2015-2017. We genotyped 2,874  individuals from 24 locations across the species' entire biogeographic range using 305 genotyping-in-thousands by sequencing (GT-Seq) loci. Analysis shows a large contribution of 1-year old recruits from the historical range to the expanded range, variable post-settlement survival of those recruits in the expanded range in relation to their natal origin, and that El Niño Southern Oscillation may play a role in long distance dispersal.\n\ncdm_data_type = Other\nVARIABLES:\nCLNo (unitless)\nCapLabel (unitless)\nSiteDescription (unitless)\nSiteCode (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\nSiteCodeLetter_cap (unitless)\nWhelk_ID (unitless)\nTissueType (unitless)\nYear (unitless)\nExtractionCap (unitless)\nDateOfExtraction (unitless)\nPerformedBy (unitless)\nOriginalCalculatedConcentration (ng/ul)\n... (29 more variables)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_995189_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_995189_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_995189_v1/index.htmlTable https://osprey.bco-dmo.org/dataset/995189 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_995189_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_995189_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_995189_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_891941_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_891941_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_891941_v1/ public [Gulf of Alaska Al and Mn - Surface Samples] - Dissolved aluminum (Al) and manganese (Mn) and total dissolvable Al and Mn from surface water samples collected during three cruises in 2010 in the northern Gulf of Alaska (US GEOTRACES Pacific Section-Shipboard Al, Mn and Fe) Water samples were collected along a transect during three cruises in 2010 (7-9 April, 5-7 May, and 27-29 July) in the northern Gulf of Alaska, from the mouth of the Copper River to about 50 km past the shelf break. Surface samples were collected by underway pumping using Teflon-lined tubing, using a method modified from Vink et al. (2000). Filtered dissolved metal surface samples were collected using a 0.45 µm in-line Acropore filter under N₂ pressure. Water samples were processed in the shipboard clean lab within three hours of collection. Dissolved samples were filtered using acid-washed 0.45 µm Pall-Supor filters. All samples were acidified to pH 1.8 using Seastar grade HCl within 3 days and stored for 5 years before analysis.\n\nFiltered samples were analyzed for dissolved Al and unfiltered samples were analyzed for total dissolvable Al using Flow Injection Analysis (Resing and Measures 1994) using fluorescent detection of lumogallion. Filtered samples were analyzed for dissolved Mn and unfiltered samples were analyzed for total dissolvable Mn according to the method of Resing and Mottl (1992), which uses spectroscopic detection of leuchomalachite green.\n\ncdm_data_type = Other\nVARIABLES:\nLatitude_degN (degrees_north)\nlongitude (Longitude_dege, degrees_east)\ntime (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\ndepth (Ysi_depth, m)\nSurface_Salinity (PSU)\nDistance_from_Shore (kilometers (km))\nDAl (nanomolar concentration (nM))\nTDAl (nanomolar concentration (nM))\nDMn (nanomolar concentration (nM))\nTDMn (nanomolar concentration (nM))\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_891941_v1/index.htmlTable https://www.bco-dmo.org/dataset/891941 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_891941_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_891941_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_891941_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_891918_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_891918_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_891918_v1/ public [Gulf of Alaska Al and Mn - Vertical Profiles] - Dissolved aluminum (Al) and manganese (Mn) and total dissolvable Al and Mn from subsurface water samples collected during three cruises in 2010 in the northern Gulf of Alaska (US GEOTRACES Pacific Section-Shipboard Al, Mn and Fe) Water samples were collected along a transect during three cruises in 2010 (7-9 April, 5-7 May, and 27-29 July) in the northern Gulf of Alaska, from the mouth of the Copper River to about 50 kilometers past the shelf break. Vertical profiles were collected using Teflon-lined Niskin bottles attached to a Spectra™ (Dyneema) line and triggered using Teflon-lined messengers. Additionally, profiles of salinity, temperature, fluorescence, and turbidity were measured with a Seabird SBE16 CTD, deployed at the same time as the collection of the subsurface water samples. Water samples were processed in the shipboard clean lab within three hours of collection. Dissolved samples were filtered using acid-washed 0.45-micrometer Pall-Supor filters. All samples were acidified to pH 1.8 using Seastar grade HCl within 3 days and stored for 5 years before analysis.\n\nFiltered samples were analyzed for dissolved aluminum (Al) and unfiltered samples were analyzed for total dissolvable Al using Flow Injection Analysis (Resing and Measures 1994) using fluorescent detection of lumogallion. Filtered samples were analyzed for dissolved manganese (Mn) and unfiltered samples were analyzed for total dissolvable Mn according to the method of Resing and Mottl (1992), which uses spectroscopic detection of leuchomalachite green.\n\ncdm_data_type = Other\nVARIABLES:\nCruise (unitless)\nStation (unitless)\ndepth (m)\ntime (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\nLatitude_degN (degrees_north)\nlongitude (Longitude_dege, degrees_east)\nDAl (nanomolar concentration (nM))\nTDAl (nanomolar concentration (nM))\nDMn (nanomolar concentration (nM))\nTDMn (nanomolar concentration (nM))\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_891918_v1/index.htmlTable https://www.bco-dmo.org/dataset/891918 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_891918_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_891918_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_891918_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_908689_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_908689_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_908689_v1/ public [Gulf of Alaska copepods: annotated transcriptomes] - Annotated de novo transcriptomes generated from six co-occurring species of calanoid copepods from the R/V Tiglax TXF18, TXS19, TXF15, TXF17 in the Gulf of Alaska from 2015-2019 (Collaborative Proposal: Optimizing Recruitment of Neocalanus copepods through Strategic Timing of Reproduction and Growth in the Gulf of Alaska) The dataset includes the annotation files of nine high-quality de novo transcriptomes generated from shotgun assemblies of short-sequence reads. The species are ecologically-important members of sub-arctic North Pacific marine zooplankton communities. The de novo assemblies included one generated several years ago plus eight new ones generated from six co-occurring species of calanoid copepods in the Gulf of Alaska. The transcriptomes include the first published ones for Neocalanus plumchrus, Neocalanus cristatus, Eucalanus bungii and Metridia pacifica and three for Neocalanus flemingeri and two for Calanus marshallae. Total RNA from single individuals was used to construct gene libraries that were sequenced on an Illumina Next-Seq platform. Short-sequence reads were assembled with Trinity software and resulting transcripts were annotated using the SwissProt database with additional functional annotation using gene ontology terms and enzyme function. The annotations files are the first ones published for these species. The integrated dataset can be used for quantitative inter- and intra-species comparisons of gene expression patterns across biological processes using the annotations.\n\nThese data are further described in the following publications: Hartline, et al. (2023) (DOI: 10.1038/s41597-023-02130-1), Roncalli, et al. (2022) (DOI: 10.1111/mec.16354), and Roncalli, et al. (2019) (DOI: 10.1038/s42003-019-0565-5)\n\ncdm_data_type = Other\nVARIABLES:\nseq_id (unitless)\nGenbank_accession (unitless)\nSpecies (unitless)\nStation (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\nCollection_date (unitless)\nDepth_range (meters (m))\nLife_stage (unitless)\nSex (unitless)\nEntry (unitless)\n... (20 more variables)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_908689_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_908689_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_908689_v1/index.htmlTable https://www.bco-dmo.org/dataset/908689 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_908689_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_908689_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_908689_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_921060_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_921060_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_921060_v1/ public [Gulf of Finland CDOM Absorption Coefficients] -  (Transforming our understanding of DIC Photoproduction in Oceanic Waters) These data are chromophoric dissolved organic matter (CDOM) Naperian absorption coefficients from the LightCycle DOM photodegradation experiments conducted in the western Gulf of Finland, Baltic Sea. The LightCycle experiments were conducted as a part of the AQUACOSM JOMEX project: Systems Responses to A Pulse of Dissolved Organic Carbon, at the Tvärminne Mesocosm Facility (TMF, Tvärminne Zoological Station (TZS), University of Helsinki). \n\nThe JOMEX experiment ran from 26 June to 10 July 2019 and the mesocosms were divided into three treatment groups: 1) three control mesocosms with no humic substances or nutrients added, 2) three humic-amended mesocosms with only humic substances added to a final concentration of 2 mg L−1 in each mesocosm and three humic+nutrients-amended mesocosms with humic substances (2 mg L−1 final concentration) and 3) NH4Cl and KH2PO4 (80 μg L−1 N and 20 μg L−1 P final concentrations) added. \n\nSurface (1 m) water samples for the LightCycle experiments were collected from one each of control, humic-amended and humic+nutrients-amended mesocosms, immediately after the amendment (day 1) and 2, 5, 7, 9 and 12 days after the amendment (days 3, 6, 8, 10 and 13). These water samples were filtered with 0.2 mm filters and irradiated under a solar simulator. \n\nCDOM absorbance at different irradiation time points were measured for these experiments using a Shimadzu UV-2501PC UV-VIS recording spectrophotometer or an Agilent 8453 UV-visible Spectrophotometer, and converted to Naperian absorption coefficients. \n\nThe measurements of CDOM absorption and the subsequent calculation of CDOM fading (decrease in absorption) offered clues to the degradation of CDOM, and provided insights into the potential of photochemistry to remove added terrestrial dissolved organic matter (DOM) and the interactions of DOM photochemistry with eutrophication in this Baltic Sea system, where there are increasing concerns that climate change and anthropogenic activities can lead to increased terrestrial input of humic substances to surface waters and browning of surface waters. \n\nThese data were collected by Kun Ma and Jay Brandes of the Skidaway Institute of Oceanography, Department of Marine Sciences, University of Georgia.\n\ncdm_data_type = Other\nVARIABLES:\nIrradiation_time (hours (h))\n... (554 more variables)\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_921060_v1/index.htmlTable https://www.bco-dmo.org/dataset/921060 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_921060_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_921060_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_921060_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_990899_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_990899_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_990899_v1/ public [Gulf of Maine Hg] - Mercury, methylmercury, nutrients, and physicochemical measurements from water column samples collected in the Gulf of Maine and Penobscot Estuary during several cruises in 2023 and 2024 (Collaborative Research: The effects of terrestrial organic matter inputs on coastal mercury cycling, methylmercury production and bioaccumulation) This dataset includes water chemistry data from Gulf of Maine (GoM) cruises in April, August, and November 2023, and April 2024, as well as from two trips to the Penobscot River and Estuary in August 2023 and April 2024. This includes mercury (Hg), methylmercury (MeHg) in the water column, nutrients, and physicochemical data.\n\ncdm_data_type = Other\nVARIABLES:\nCruise_ID (unitless)\nCruise_Name (unitless)\ntime (Date_time_utc, seconds since 1970-01-01T00:00:00Z)\nlatitude (Latitude_n, degrees_north)\nlongitude (Longitude_w, degrees_east)\nWaterColumn_Depth (meters (m))\nStation_Num (unitless)\nSample_ID (unitless)\ndepth (Sample_depth_m, m)\nTemp (Degrees Celsius (°C))\nSalinity (Pratical Salinity Units (psu))\nOxygen (micromoles per kilogram (µmol/kg))\nAOU (micromoles per kilogram (µmol/kg))\nBulk_THg (picomoles (pM))\npTHg (picomoles (pM))\nBulk_MeHg (picomoles (pM))\npMeHg (picomoles (pM))\nPercent_MeHg (unitless (percent))\nPercent_pMeHg (unitless (percent))\nDOC (micromolar (µM))\nPON (micrograms per Liter (µg/L))\nPOC (micrograms per Liter (µg/L))\nChl_a (micrograms per Liter (µg/L))\nPha (micrograms per Liter (µg/L))\n... (18 more variables)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_990899_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_990899_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_990899_v1/index.htmlTable https://osprey.bco-dmo.org/dataset/990899 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_990899_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_990899_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_990899_v1
log in [gut equal] - Microsphere counts from gut samples for equal microsphere concentration incubations (Collaborative Proposal: Are all cell surfaces the same? The effects of particle surface property on predator-prey interactions in the microbial loop) Cell surface properties can strongly mediate microbial interactions with predators in soil and host-pathogen systems. Yet, the role of microbial surface properties in avoiding or enhancing predation in the ocean remains a research frontier. Appendicularians are globally abundant marine suspension feeders that capture marine microorganisms in a complex mucous filtration system. We used artificial microspheres to test whether the surface properties of prey particles influenced selection by the appendicularian, Oikopleura dioica . Across microsphere sizes (0.5, 1, 2 and 3 µm) and concentrations (~103-106 particles ml-1), which were varied to represent realistic microbial communities, carboxylate- and amine-modified particles were handled differently by the appendicularians. The carboxylate-modified particles were enriched in the gut while the amine-modified particles were enriched in the mucous filters, leading to different particle fates. \n\nThis dataset includes microsphere counts from appendicularian guts following feeding incubations with two microsphere sizes (for each functionalized microsphere) available in equal concentration.\n\ncdm_data_type = Other\nVARIABLES:\nIncubation (Unitless)\nDuration_min (Minutes)\nAnimal_ID (Unitless)\nC_1_um_gut (Count per gut)\nC_2_um_gut (Count per gut)\nA_1_um_gut (Count per gut)\nA_2_um_gut (Count per gut)\n BCO-DMO bcodmo_dataset_957150_v1
log in [gut varied] - Microsphere counts from Oikopleura dioica guts following feeding incubations with three microsphere sizes (for each functionalized microsphere) available in environmentally relevant concentrations (Collaborative Proposal: Are all cell surfaces the same? The effects of particle surface property on predator-prey interactions in the microbial loop) Cell surface properties can strongly mediate microbial interactions with predators in soil and host-pathogen systems. Yet, the role of microbial surface properties in avoiding or enhancing predation in the ocean remains a research frontier. Appendicularians are globally abundant marine suspension feeders that capture marine microorganisms in a complex mucous filtration system. We used artificial microspheres to test whether the surface properties of prey particles influenced selection by the appendicularian, Oikopleura dioica.  Across microsphere sizes (0.5, 1, 2 and 3 µm) and concentrations (~103-106 particles ml-1), which were varied to represent realistic microbial communities, carboxylate- and amine-modified particles were handled differently by the appendicularians. The carboxylate-modified particles were enriched in the gut while the amine-modified particles were enriched in the mucous filters, leading to different particle fates. \n\nThis dataset includes microsphere counts from appendicularian guts following feeding incubations with three microsphere sizes (for each functionalized microsphere) available in environmentally relevant concentrations.\n\ncdm_data_type = Other\nVARIABLES:\nIncubation (Unitless)\nDuration_min (Minutes)\nAnimal_ID (Unitless)\nReplicate (Number)\nC_0_5_um_grid (Count per grid)\nC_1_um_grid (Count per grid)\nC_3_um_grid (Count per grid)\nA_0_5_um_grid (Count per grid)\nA_1_0_um_grid (Count per grid)\nA_3_um_grid (Count per grid)\n BCO-DMO bcodmo_dataset_957135_v1
log in [HATS Size-fractionated Marine Particles] - Size fractionated particulate trace metal concentrations from in-situ filtration near Station ALOHA during four R/V Kilo Moana cruises between August 2022 and August 2023 (Hawaii Aerosol Time-Series (HATS):Quantifying Marine Dust Deposition and Composition in an Oligotrophic Gyre) Size-fractionated particles were collected via in-situ filtration aboard the R/V Kilo Moana on four separate cruises (KM2210, KM2305, KM2306, and KM2311) at the Hawaii Ocean Time-Series study site, Station ALOHA, between 2022-08-30 to 2023-08-14. Marine particulate trace element concentrations were assessed via magnetic sector inductively coupled plasma mass spectrometry (ICP-MS). Many of these trace elements are required by marine organisms and can act as tracers of oceanographic processes. These data were used as part of the Hawaii Aerosol Time-Series (HATS) project to observe how seasonally variable atmospheric deposition of aerosol trace elements to the ocean impacts the compositional inventories of size-fractionated upper water column particulate trace elements.\n\ncdm_data_type = Other\nVARIABLES:\nStation (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\nCruise_number (unitless)\nCruise_Month (unitless)\nYear (unitless)\ndepth (m)\nAl_LPL_CONC_PUMP (nanomoles per liter (nmol/L))\nAl_LPT_CONC_PUMP (nanomoles per liter (nmol/L))\nAl_SPL_0pt2_CONC_PUMP (nanomoles per liter (nmol/L))\nAl_SPL_0pt8_CONC_PUMP (nanomoles per liter (nmol/L))\nAl_SPT_0pt2_CONC_PUMP (nanomoles per liter (nmol/L))\nAl_SPT_0pt8_CONC_PUMP (nanomoles per liter (nmol/L))\nBa_LPL_CONC_PUMP (nanomoles per liter (nmol/L))\nBa_LPT_CONC_PUMP (nanomoles per liter (nmol/L))\nBa_SPL_0pt2_CONC_PUMP (nanomoles per liter (nmol/L))\nBa_SPL_0pt8_CONC_PUMP (nanomoles per liter (nmol/L))\nBa_SPT_0pt2_CONC_PUMP (nanomoles per liter (nmol/L))\nBa_SPT_0pt8_CONC_PUMP (nanomoles per liter (nmol/L))\nCa_LPL_CONC_PUMP (nanomoles per liter (nmol/L))\n... (450 more variables)\n BCO-DMO bcodmo_dataset_987161_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_986789_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_986789_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_986789_v1/ public [HATS Total Aerosols] - Weekly integrated bulk total aerosol trace element concentrations from the Hawaii Aerosol Time-series during January 2022 to October 2023 (Hawaii Aerosol Time-Series (HATS):Quantifying Marine Dust Deposition and Composition in an Oligotrophic Gyre) This study aimed to quantify seasonal aerosol trace element fluxes and evaluate their variability and potential sources over a two-year period in the North Pacific subtropical gyre (NPSG). We established the Hawaii Aerosol Time Series (HATS), a sampling program at Makai Research Pier on O'ahu (21.32° N, 157.67° W), to collect weekly-integrated total suspended particle samples. Sampling was sector-controlled to collect when winds were onshore at a velocity of greater than 0.5 meters per second (m/s). The sampler was fitted with a GEOTRACES-style, custom-made manifold holding 12 acid-washed, 47-millimeter (mm) diameter Whatman-41 filters. Three filters were reserved for total digestion. The digestion procedure is a three-step process where the samples were sequentially acidified with concentrated double-distilled nitric acid, hydrofluoric acid, and hydrogen peroxide, heated to ~140 degrees Celsius (°C) on a hotplate overnight, and then taken to near dryness. Following the final dry-down, samples were brought up in 0.32 M optima HNO3 and then analyzed for a mix of primarily lithogenic and anthropogenically associated trace elements (including Al, Co, Cr, Cu, Fe, Mn, Ni, Pb, Ti, V, and Zn) via quadrupole inductively coupled plasma mass spectrometry (ICP-MS).\n\ncdm_data_type = Other\nVARIABLES:\nDeployment (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\nJulian_Day (unitless)\ntime (Start_iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\nStart_Day (unitless)\nStart_Month (unitless)\nStart_Year (unitless)\nStart_Time_UTC (unitless)\nEnd_ISO_DateTime_UTC (seconds since 1970-01-01T00:00:00Z)\nEnd_Day (unitless)\nEnd_Month (unitless)\nEnd_Year (unitless)\nEnd_Time_UTC (unitless)\n... (34 more variables)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_986789_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_986789_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_986789_v1/index.htmlTable https://osprey.bco-dmo.org/dataset/986789 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_986789_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_986789_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_986789_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_986892_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_986892_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_986892_v1/ public [Hawaiian sponge cryptofauna] - Specimen vouchers of sponges collected in a study of hidden sponge biodiversity within the Hawaiian reef cryptofauna conducted on Oahu, Hawaii from 2016 to 2018 (Testing the most striking tropical marine biodiversity gradient on the planet: does it hold for sponges?) Sponges are abundant and conspicuous on the reef surface in productive, continental reefs, but largely vanish from surveys of the oligotrophic reefs of Oceania. However, their diversity in the cryptobiota remains poorly characterized. Here, we explore the contribution of cryptobenthic sponges to overall sponge diversity on 1,750 square meters of reef habitat in Kāne'ohe Bay and Waimanalo in the island of O'ahu, Hawai'i. We also assessed cryptic sponges using 15 square meters of Autonomous Reef Monitoring Structures (ARMS) deployed in this same area. We used integrative taxonomy combining morphology, COI and 28S barcoding to delineate and track species, most of which are poorly known or undescribed. We documented 186 OTUs, 150 of which are new records for the Hawaiian Islands, increasing the known sponge fauna of Kāne'ohe Bay by 3.5 fold, and that of the Hawaiian Islands by 2.5 fold. More than ¾ of the sponge OTUs were cryptobenthic. Reef sampling provided access to 31% (44 OTUs), whereas 52% (75 OTUs) were retrieved exclusively from ARMS. These results illustrate that the interstices of ARMS units provide suitable habitat for settlement of cryptobenthic sponges that would otherwise be impossible to access through traditional field surveys. Tracking species with provisional names, using integrative species delineation anchored to vouchers, images, and DNA barcodes provides a powerful approach for working with such a poorly understood fauna.\n\ncdm_data_type = Other\nVARIABLES:\nSpecies (unitless)\nlatitude (degrees_north)\nlongitude (Long, degrees_east)\nStation (unitless)\nDate (unitless)\nFMNH_voucher (unitless)\nHIMB_voucher (unitless)\nField_ID (unitless)\nCOI_accession (unitless)\nCOI_base_pairs (unitless)\nCOI_blastn_result_1 (unitless)\nCOI_blastn_result_2 (% similarity)\n... (4 more variables)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_986892_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_986892_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_986892_v1/index.htmlTable https://osprey.bco-dmo.org/dataset/986892 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_986892_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_986892_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_986892_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_986580_v1 https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_986580_v1/ public [Headwater Terrestrial Organic Matter] - Impacts of Terrestrial Organic Matter on Methanogenic Archaea in Littoral and Pelagic Sediments of the Mississippi River Headwaters from June to September 2020 (Cyanos Great Lakes Project) (Collaborative Research: Cyanobacteria, Nitrogen Cycling, and Export Production in the Laurentian Great Lakes) Terrestrial organic matter (tOM) plays a key role in aquatic ecosystems, influencing carbon cycling and greenhouse gas emissions. Here, we investigate how tOM affects methane production in littoral and pelagic sediments from the Mississippi River headwaters using a controlled microcosm approach. Contrary to expectations, tOM additions consistently enhanced methane production across both sediment types, with no significant differences between littoral and pelagic zones. Methane generation was mediated by specific sediment microorganisms—primarily methanogens and lignocellulose-degrading bacteria—which exhibited similar responses across habitats. \n\nSequencing data associated with this paper is available on NCBI through the project PRJNA1164797: Impacts of Terrestrial Organic Matter on Methanogenic Archaea in Littoral and Pelagic Sediments of the Mississippi River Headwater.\n\nOur results highlight the contribution of cytochrome-containing methanogens and their syntrophic interactions with fermentative bacteria, underscoring the importance of microbial community composition in regulating sediment methane dynamics. These findings suggest that increasing tOM loads to freshwater systems could have broader implications for methane emissions, driven by specific microbial interactions.\n\ncdm_data_type = Other\nVARIABLES:\naccession (unitless)\nstudy (unitless)\nobject_status (unitless)\nbioproject_accession (unitless)\nbiosample_accession (unitless)\nsample_name (unitless)\nlibrary_ID (unitless)\ntitle (unitless)\nlibrary_strategy (unitless)\nlibrary_source (unitless)\nlibrary_selection (unitless)\n... (9 more variables)\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_986580_v1/index.htmlTable https://osprey.bco-dmo.org/dataset/986580 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_986580_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_986580_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_986580_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_923284_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_923284_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_923284_v1/ public [Heat priming in Nematostella vectensis: Development of larvae past the planula stage] - Data pertaining to the development of larvae past the planula stage from experiments investigating heat priming in Nematostella vectensis (Influence of environmental pH variability and thermal sensitivity on the resilience of reef-building corals to acidification stress) Across diverse taxa, sublethal exposure to abiotic stressors early in life can lead to benefits such as increased stress tolerance upon repeat exposure. This phenomenon, known as hormetic priming, is largely unexplored in early life stages of marine invertebrates, which are increasingly threatened by anthropogenic climate change. To investigate this phenomenon, larvae of the sea anemone and model marine invertebrate Nematostella vectensis were exposed to control (18 °C) or elevated (24 °C, 30 °C, 35 °C, or 39 °C) temperatures for 1 hour at 3 days post-fertilization (DPF), followed by return to control temperatures (18 °C). The animals were then assessed for growth, development, metabolic rates, and heat tolerance at 4, 7, and 11 DPF. To investigate a possible molecular mechanism for the observed changes in heat tolerance, the expression of heat shock protein 70 (HSP70) was quantified at 11 DPF. The study's findings suggest heat priming may augment the climate resilience of marine invertebrate early life stages via the modulation of key developmental and physiological phenotypes, while also affirming the need to limit further anthropogenic ocean warming. \n\nThis dataset includes data pertaining to the development of Nematostella vectensis larvae past the planula stage. See related datasets for other results from these experiments. These data and results are published in Glass et al. (2023) (DOI: 10.7717/peerj.16574).\n\ncdm_data_type = Other\nVARIABLES:\nPriming_temperature_C (degrees Celsius)\nGroup (unitless)\nDays_post_fertilization (unitless)\nPlanula_count (unitless)\nPost_planula_count (unitless)\nTotal_count (unitless)\nPercent_planula (unitless)\nPercent_post_planula (unitless)\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_923284_v1/index.htmlTable https://www.bco-dmo.org/dataset/923284 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_923284_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_923284_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_923284_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_923386_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_923386_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_923386_v1/ public [Heat priming in Nematostella vectensis: Dose-response curves (DRC) quantifying survival after exposure to heat ramps] - Data pertaining to dose-response curves (DRC) quantifying survival of larvae after exposure to heat ramps from experiments investigating heat priming in Nematostella vectensis (Influence of environmental pH variability and thermal sensitivity on the resilience of reef-building corals to acidification stress) Across diverse taxa, sublethal exposure to abiotic stressors early in life can lead to benefits such as increased stress tolerance upon repeat exposure. This phenomenon, known as hormetic priming, is largely unexplored in early life stages of marine invertebrates, which are increasingly threatened by anthropogenic climate change. To investigate this phenomenon, larvae of the sea anemone and model marine invertebrate Nematostella vectensis were exposed to control (18 °C) or elevated (24 °C, 30 °C, 35 °C, or 39 °C) temperatures for 1 hour at 3 days post-fertilization (DPF), followed by return to control temperatures (18 °C). The animals were then assessed for growth, development, metabolic rates, and heat tolerance at 4, 7, and 11 DPF. To investigate a possible molecular mechanism for the observed changes in heat tolerance, the expression of heat shock protein 70 (HSP70) was quantified at 11 DPF. The study's findings suggest heat priming may augment the climate resilience of marine invertebrate early life stages via the modulation of key developmental and physiological phenotypes, while also affirming the need to limit further anthropogenic ocean warming.\n\nThis dataset includes data pertaining to dose-response curves (DRC) quantifying survival of larvae after exposure to heat ramps. See related datasets for other results from these experiments. These data and results are published in Glass et al. (2023) (DOI: 10.7717/peerj.16574).\n\ncdm_data_type = Other\nVARIABLES:\nPriming_temperature_C (degrees Celsius)\nGroup (unitless)\nDays_post_fertilization (unitless)\nTreatment_temperature_C (degrees Celsius)\nLarvae_surviving (unitless)\nTotal_larvae (unitless)\nProportion_surviving (unitless)\nPercent_surviving (unitless)\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_923386_v1/index.htmlTable https://www.bco-dmo.org/dataset/923386 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_923386_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_923386_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_923386_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_923415_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_923415_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_923415_v1/ public [Heat priming in Nematostella vectensis: Expression of heat shock protein 70 (HSP70)] - Expression of heat shock protein 70 (HSP70) in larvae at 11 days post-fertilization (DPF) from experiments investigating heat priming in Nematostella vectensis (Influence of environmental pH variability and thermal sensitivity on the resilience of reef-building corals to acidification stress) Across diverse taxa, sublethal exposure to abiotic stressors early in life can lead to benefits such as increased stress tolerance upon repeat exposure. This phenomenon, known as hormetic priming, is largely unexplored in early life stages of marine invertebrates, which are increasingly threatened by anthropogenic climate change. To investigate this phenomenon, larvae of the sea anemone and model marine invertebrate Nematostella vectensis were exposed to control (18 °C) or elevated (24 °C, 30 °C, 35 °C, or 39 °C) temperatures for 1 hour at 3 days post-fertilization (DPF), followed by return to control temperatures (18 °C). The animals were then assessed for growth, development, metabolic rates, and heat tolerance at 4, 7, and 11 DPF. To investigate a possible molecular mechanism for the observed changes in heat tolerance, the expression of heat shock protein 70 (HSP70) was quantified at 11 DPF. The study's findings suggest heat priming may augment the climate resilience of marine invertebrate early life stages via the modulation of key developmental and physiological phenotypes, while also affirming the need to limit further anthropogenic ocean warming.\n\nThis dataset includes data pertaining to the expression of heat shock protein 70 (HSP70) in larvae at 11 days post-fertilization (DPF). See related datasets for other results from these experiments. These data and results are published in Glass et al. (2023) (DOI: 10.7717/peerj.16574).\n\ncdm_data_type = Other\nVARIABLES:\nPriming_temperature_C (degrees Celsius)\nGroup (unitless)\nDays_post_fertilizaiton (unitless)\nHSP70 (unitless)\nTubulin (unitless)\nNormalized_HSP70 (unitless)\nLT50_C (degrees Celsius)\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_923415_v1/index.htmlTable https://www.bco-dmo.org/dataset/923415 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_923415_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_923415_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_923415_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_923497_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_923497_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_923497_v1/ public [Heat priming in Nematostella vectensis: Heat tolerance (survival) of juveniles] - Heat tolerance (survival) of juveniles at 6 WPF following heat shock from experiments investigating heat priming in Nematostella vectensis (Influence of environmental pH variability and thermal sensitivity on the resilience of reef-building corals to acidification stress) Across diverse taxa, sublethal exposure to abiotic stressors early in life can lead to benefits such as increased stress tolerance upon repeat exposure. This phenomenon, known as hormetic priming, is largely unexplored in early life stages of marine invertebrates, which are increasingly threatened by anthropogenic climate change. To investigate this phenomenon, larvae of the sea anemone and model marine invertebrate Nematostella vectensis were exposed to control (18 °C) or elevated (24 °C, 30 °C, 35 °C, or 39 °C) temperatures for 1 hour at 3 days post-fertilization (DPF), followed by return to control temperatures (18 °C). The animals were then assessed for growth, development, metabolic rates, and heat tolerance at 4, 7, and 11 DPF. To investigate a possible molecular mechanism for the observed changes in heat tolerance, the expression of heat shock protein 70 (HSP70) was quantified at 11 DPF. The study's findings suggest heat priming may augment the climate resilience of marine invertebrate early life stages via the modulation of key developmental and physiological phenotypes, while also affirming the need to limit further anthropogenic ocean warming.\n\nThis dataset includes data pertaining to the heat tolerance (survival) of juveniles at 6 WPF following heat shock. See related datasets for other results from these experiments. These data and results are published in Glass et al. (2023) (DOI: 10.7717/peerj.16574).\n\ncdm_data_type = Other\nVARIABLES:\nPriming_temperature_C (degrees Celsius)\nGroup (unitless)\nJuveniles_surviving (unitless)\nTotal_juveniles (unitless)\nSurvival_pcnt (unitless)\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_923497_v1/index.htmlTable https://www.bco-dmo.org/dataset/923497 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_923497_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_923497_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_923497_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_923586_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_923586_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_923586_v1/ public [Heat priming in Nematostella vectensis: Lethal temperature 50s (LT50s)] - Lethal temperature 50s (LT50s) displayed by larvae derived from dose-response curves after heat shock from experiments investigating heat priming in Nematostella vectensis (Influence of environmental pH variability and thermal sensitivity on the resilience of reef-building corals to acidification stress) Across diverse taxa, sublethal exposure to abiotic stressors early in life can lead to benefits such as increased stress tolerance upon repeat exposure. This phenomenon, known as hormetic priming, is largely unexplored in early life stages of marine invertebrates, which are increasingly threatened by anthropogenic climate change. To investigate this phenomenon, larvae of the sea anemone and model marine invertebrate Nematostella vectensis were exposed to control (18 °C) or elevated (24 °C, 30 °C, 35 °C, or 39 °C) temperatures for 1 hour at 3 days post-fertilization (DPF), followed by return to control temperatures (18 °C). The animals were then assessed for growth, development, metabolic rates, and heat tolerance at 4, 7, and 11 DPF. To investigate a possible molecular mechanism for the observed changes in heat tolerance, the expression of heat shock protein 70 (HSP70) was quantified at 11 DPF. The study's findings suggest heat priming may augment the climate resilience of marine invertebrate early life stages via the modulation of key developmental and physiological phenotypes, while also affirming the need to limit further anthropogenic ocean warming.\n\nThis dataset includes data pertaining to the lethal temperature 50s (LT50s) displayed by larvae derived from DRCs after heat shock. See related datasets for other results from these experiments. These data and results are published in Glass et al. (2023) (DOI: 10.7717/peerj.16574).\n\ncdm_data_type = Other\nVARIABLES:\nPriming_temperature_C (degrees Celsius)\nGroup (unitless)\nDays_post_fertilization (unitless)\nLT50_C (degrees Celsius)\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_923586_v1/index.htmlTable https://www.bco-dmo.org/dataset/923586 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_923586_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_923586_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_923586_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_923447_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_923447_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_923447_v1/ public [Heat priming in Nematostella vectensis: Long-term growth] - Long-term body column lengths and tentacle numbers of larvae and juveniles from experiments investigating heat priming in Nematostella vectensis (Influence of environmental pH variability and thermal sensitivity on the resilience of reef-building corals to acidification stress) Across diverse taxa, sublethal exposure to abiotic stressors early in life can lead to benefits such as increased stress tolerance upon repeat exposure. This phenomenon, known as hormetic priming, is largely unexplored in early life stages of marine invertebrates, which are increasingly threatened by anthropogenic climate change. To investigate this phenomenon, larvae of the sea anemone and model marine invertebrate Nematostella vectensis were exposed to control (18 °C) or elevated (24 °C, 30 °C, 35 °C, or 39 °C) temperatures for 1 hour at 3 days post-fertilization (DPF), followed by return to control temperatures (18 °C). The animals were then assessed for growth, development, metabolic rates, and heat tolerance at 4, 7, and 11 DPF. To investigate a possible molecular mechanism for the observed changes in heat tolerance, the expression of heat shock protein 70 (HSP70) was quantified at 11 DPF. The study's findings suggest heat priming may augment the climate resilience of marine invertebrate early life stages via the modulation of key developmental and physiological phenotypes, while also affirming the need to limit further anthropogenic ocean warming.\n\nThis dataset includes data pertaining to the long-term body column lengths and tentacle numbers of larvae and juveniles through 6 weeks post-fertilization (WPF). See related datasets for other results from these experiments. These data and results are published in Glass et al. (2023) (DOI: 10.7717/peerj.16574).\n\ncdm_data_type = Other\nVARIABLES:\nPriming_temperature_C (degrees Celsius)\nGroup (unitless)\nWeeks_post_fertilization (unitless)\nBody_column_length_cm (cenimeters (cm))\nBody_column_length_mm (millimeters (mm))\nBody_column_width_cm (cenimeters (cm))\nBody_column_width_mm (millimeters (mm))\nAspect_ratio (unitless)\nVolume_mm3 (cubic millimeters (mm^3))\nSurface_area_mm2 (square millimeters (mm^2))\nSurface_area_to_volume_ratio (millimeters (mm^3/mm^2))\nTentacles (unitless)\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_923447_v1/index.htmlTable https://www.bco-dmo.org/dataset/923447 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_923447_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_923447_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_923447_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_923674_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_923674_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_923674_v1/ public [Heat priming in Nematostella vectensis: Respiration rates and protein content of larvae] - Respiration rates and protein content of larvae from experiments investigating heat priming in Nematostella vectensis (Influence of environmental pH variability and thermal sensitivity on the resilience of reef-building corals to acidification stress) Across diverse taxa, sublethal exposure to abiotic stressors early in life can lead to benefits such as increased stress tolerance upon repeat exposure. This phenomenon, known as hormetic priming, is largely unexplored in early life stages of marine invertebrates, which are increasingly threatened by anthropogenic climate change. To investigate this phenomenon, larvae of the sea anemone and model marine invertebrate Nematostella vectensis were exposed to control (18 °C) or elevated (24 °C, 30 °C, 35 °C, or 39 °C) temperatures for 1 hour at 3 days post-fertilization (DPF), followed by return to control temperatures (18 °C). The animals were then assessed for growth, development, metabolic rates, and heat tolerance at 4, 7, and 11 DPF. To investigate a possible molecular mechanism for the observed changes in heat tolerance, the expression of heat shock protein 70 (HSP70) was quantified at 11 DPF. The study's findings suggest heat priming may augment the climate resilience of marine invertebrate early life stages via the modulation of key developmental and physiological phenotypes, while also affirming the need to limit further anthropogenic ocean warming.\n\nThis dataset includes data pertaining to the respiration rates and protein content of larvae. See related datasets for other results from these experiments. These data and results are published in Glass et al. (2023) (DOI: 10.7717/peerj.16574).\n\ncdm_data_type = Other\nVARIABLES:\nPriming_temperature_C (degrees Celsius)\nGroup (unitless)\nDays_post_fertilization (unitless)\nRespiration_nmol_O2_per_minute (nanomoles O2 per minute)\nNumber_of_larvae (unitless)\nRespiration_nmol_O2_per_minute_per_larva (nanomoles O2 per minute per larva)\nProtein_ug (micrograms (ug))\nProtein_ug_per_larva (micrograms per larva)\nRespiration_nmol_O2_per_minute_per_protein (nanomoles O2 per minute per microgram protein)\nRespiration_pmol_O2_per_minute_per_protein (picomoles O2 per minute per microgram protein)\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_923674_v1/index.htmlTable https://www.bco-dmo.org/dataset/923674 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_923674_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_923674_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_923674_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_923616_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_923616_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_923616_v1/ public [Heat priming in Nematostella vectensis: Sizes of larvae] - Sizes of larvae from 4-11 days post-fertilization from experiments investigating heat priming in Nematostella vectensis (Influence of environmental pH variability and thermal sensitivity on the resilience of reef-building corals to acidification stress) Across diverse taxa, sublethal exposure to abiotic stressors early in life can lead to benefits such as increased stress tolerance upon repeat exposure. This phenomenon, known as hormetic priming, is largely unexplored in early life stages of marine invertebrates, which are increasingly threatened by anthropogenic climate change. To investigate this phenomenon, larvae of the sea anemone and model marine invertebrate Nematostella vectensis were exposed to control (18 °C) or elevated (24 °C, 30 °C, 35 °C, or 39 °C) temperatures for 1 hour at 3 days post-fertilization (DPF), followed by return to control temperatures (18 °C). The animals were then assessed for growth, development, metabolic rates, and heat tolerance at 4, 7, and 11 DPF. To investigate a possible molecular mechanism for the observed changes in heat tolerance, the expression of heat shock protein 70 (HSP70) was quantified at 11 DPF. The study's findings suggest heat priming may augment the climate resilience of marine invertebrate early life stages via the modulation of key developmental and physiological phenotypes, while also affirming the need to limit further anthropogenic ocean warming.\n\nThis dataset includes data pertaining to the sizes of larvae from 4-11 DPF. See related datasets for other results from these experiments. These data and results are published in Glass et al. (2023) (DOI: 10.7717/peerj.16574).\n\ncdm_data_type = Other\nVARIABLES:\nPriming_temperature_C (degrees Celsius)\nGroup (unitless)\nDays_post_fertilization (unitless)\nBody_column_length_cm (centimeters (cm))\nBody_column_width_cm (centimeters (cm))\nAspect_ratio (unitless)\nVolume_mm3 (cubic millimeters (mm^3))\nSurface_area_mm2 (square millimeters (mm^2))\nSurface_area_to_volume_ratio (millimeters (mm^3/mm^2))\nBody_column_length_mm (millimeters (mm))\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_923616_v1/index.htmlTable https://www.bco-dmo.org/dataset/923616 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_923616_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_923616_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_923616_v1
log in [Heat stress experiment data] - Proportions of healthy, pale, bleached, and dead Orbicella faveolata recruits over time during a heat stress laboratory experiment conducted in 2018 and 2019, corresponding to proportions of different symbiont genera hosted (Collaborative Research: Assessing the changing symbiotic milieu on Caribbean coral reefs under climate change: magnitude, tradeoffs, interventions, and implications) Proportions of healthy, pale, bleached, and dead Orbicella faveolata recruits over time during a heat stress experiment, corresponding to proportions of different symbiont genera hosted.\n\nThese data correspond to research presented in Williamson et al. (2021), published in Coral Reefs and funded in part by the NSF project \"Symbiont Shifts on Reefs\". They were used to test if Orbicella faveolata recruits could establish symbiosis with D. trenchii supplied by nearby “donor” colonies and examined the resulting ecological trade-offs to evaluate early Symbiodiniaceae manipulation as a scalable tool for reef restoration. We exposed aposymbiotic recruits to 29 °C or 31 °C and to fragments of Montastraea cavernosa (containing Cladocopium ITS2 type C3) or Siderastrea siderea (containing D. trenchii). Next, a subset of recruits were exposed to a 60-day heat stress. These data include survivorship and symbiont acquisition rates, symbiont identity and density data (derived using qPCR), polyp area measurements, and scoring of bleaching and survivorship during a heat stress experiment. Overall, proportion of D. trenchii hosted was negatively correlated with polyp size and symbiont density, indicating a trade-off between growth (of both host and symbiont) and heat tolerance. These findings suggest that, while donor colonies may be effective sources for seeding coral recruits with thermotolerant symbionts, practitioners will need to balance the likely benefits and costs of these approaches when designing restoration strategies.\n\ncdm_data_type = Other\nVARIABLES:\nDate (unitless)\nDay (days)\nTemp (unitless)\nTank (unitless)\nAdult (unitless)\nAlive (per recruit)\nSymb (per recruit)\nPale (per recruit)\nBleached (per recruit)\nSurv (unitless)\n... (6 more variables)\n BCO-DMO bcodmo_dataset_920837_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_2773_v2 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_2773_v2.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_2773_v2/ public [herbivory] - Phytoplankton growth, microzooplankton herbivory from R/V Roger Revelle KIWI6, KIWI7, KIWI8, KIWI9 cruises in the Southern Ocean, 1997-1998 (U.S. JGOFS AESOPS project) (U.S. JGOFS Antarctic Environment and Southern Ocean Process Study) This dataset includes phytoplankton growth and microzooplankton herbivory from R/V Roger Revelle cruises KIWI6, KIWI7, KIWI8, and KIWI9 in the Southern Ocean in 1998.\n\ncdm_data_type = Other\nVARIABLES:\ncruise (unitless)\nevent (unitless)\nDate (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\nsta (unitless)\ncast (unitless)\ncast_type (unitless)\ndepth_n (meters)\nphyto_growth (per day (d-1))\nmicrozoop_graz (per day (d-1))\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_2773_v2_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_2773_v2_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_2773_v2/index.htmlTable https://www.bco-dmo.org/dataset/2773 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_2773_v2.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_2773_v2&showErrors=false&email= BCO-DMO bcodmo_dataset_2773_v2
log in [High-Frequency CO2-system observations from a moored sensor in the York River] -  (Collaborative Research: Multiple Stressors in the Estuarine Environment: What drives changes in the Carbon Dioxide system?) These are CO2-system data from a moored sensor in the York River, a tributary of the Chesapeake Bay. Temperature, salinity and pH were acquired hourly over two deployments lasting several months. Sensor data were then averaged to 24-hour resolution. Data were calibrated with discrete dissolved inorganic carbon (TCO2) and alkalinity samples analyzed at the Virginia Institute of Marine Science, following standard procedures. The pH sensor data were then combined with salinity data, and a relationship between alkalinity and salinity, to compute the remaining CO2-system parameters (TCO2, CO2 partial pressure (pCO2), and saturation state of aragonite. There is one file for each deployment (D1, and D2); the data are in a comma-separated (csv) format. Hourly measured temperature, salinity, and pH are given, as well as derived alkalinity, TCO2, pCO2, and saturation state of aragonite are included. Units are in the first row of each file.\n\ncdm_data_type = Other\nVARIABLES:\nDate_Matlab (unitless)\ntime (Datetime, seconds since 1970-01-01T00:00:00Z)\nlatitude (degrees_north)\nlongitude (degrees_east)\nTemp_degC (degrees Celsius (°C))\nSalinity (unitless)\npH_total (unitless)\nalkalinity_umol_kg (micromole per Kilogram (umol/kg))\nTCO2_umol_kg (micromole per Kilogram (umol/kg))\npCO2_uatm (microatmospheres (uatm))\nWar (unitless)\nDeployment (unitless)\n BCO-DMO bcodmo_dataset_890566_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_553241_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_553241_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_553241_v1/ public [HOE-DYLAN cruises - Diazotrophs] - Diazotroph abundances (nifH gene) from multiple HOE-DYLAN cruises from July to September 2012 (C-MORE project) (Center for Microbial Oceanography: Research and Education) Diazotroph abundances (nifH gene) from multiple HOE-DYLAN cruises from July to September 2012 (C-MORE project)\n\ncdm_data_type = Other\nVARIABLES:\ncruise_id (unitless)\nsta (unitless)\ndate (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\ndepth (m)\nUCYN_A (copies/liter)\nUCYN_A_log_xplus1_DNA (copies/liter)\nUCYN_A2 (copies/liter)\nUCYN_A2_log_xplus1_DNA (copies/liter)\nUCYN_B (copies/liter)\nUCYN_B_log_xplus1_DNA (copies/liter)\ng_Pia (copies/liter)\ng_Pia_log_xplus1_DNA (copies/liter)\nHet_1 (copies/liter)\nHet_1_log_xplus1_DNA (copies/liter)\nHet_2 (copies/liter)\nHet_2_log_xplus1_DNA (copies/liter)\ntricho (copies/liter)\ntricho_log_xplus1_DNA (copies/liter)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_553241_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_553241_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_553241_v1/index.htmlTable https://www.bco-dmo.org/dataset/553241 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_553241_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_553241_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_553241_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_4053_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_4053_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_4053_v1/ public [HOE-DYLAN cruises - NH4] - Ammonium (NH4) concentrations from multiple HOE-DYLAN cruises from July to September 2012 (C-MORE project) (Center for Microbial Oceanography: Research and Education) Ammonium (NH4) concentrations from multiple HOE-DYLAN cruises from July to September 2012 (C-MORE project)\n\ncdm_data_type = Other\nVARIABLES:\ncruise_id (unitless)\ntime (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\nsta (unitless)\ncast (unitless)\nbot (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\npress (dbar)\ntemp (degrees Celsius)\nsal (PSS-78)\nO2 (micromoles/kilogram)\nfluor_re (micrograms/liter)\nNH4 (nanomoles/liter)\nNH4_sd (unitless)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_4053_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_4053_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_4053_v1/index.htmlTable https://www.bco-dmo.org/dataset/4053 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_4053_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_4053_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_4053_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_4054_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_4054_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_4054_v1/ public [HOE-DYLAN cruises - NO2] - Nitrite (NO2) concentrations from multiple HOE-DYLAN cruises from July to September 2012 (C-MORE project) (Center for Microbial Oceanography: Research and Education) Nitrite (NO2) concentrations from multiple HOE-DYLAN cruises from July to September 2012 (C-MORE project)\n\ncdm_data_type = Other\nVARIABLES:\ncruise_id (text)\ntime (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\nsta (unitless)\ncast (unitless)\nbot (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\npress (dbar)\ntemp (degrees Celsius)\nsal (PSS-78)\nO2 (micromoles/kilogram)\nfluor_re (micrograms/liter)\nNO2 (nanomoles/liter)\nNO2_sd (unitless)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_4054_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_4054_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_4054_v1/index.htmlTable https://www.bco-dmo.org/dataset/4054 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_4054_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_4054_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_4054_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_4055_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_4055_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_4055_v1/ public [HOE-DYLAN cruises - Urea] - Urea concentrations from multiple HOE-DYLAN cruises from July to September 2012 (C-MORE project) (Center for Microbial Oceanography: Research and Education) Urea concentrations from multiple HOE-DYLAN cruises from July to September 2012 (C-MORE project)\n\ncdm_data_type = Other\nVARIABLES:\ncruise_id (unitless)\ntime (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\nsta (unitless)\ncast (unitless)\nbot (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\npress (dbar)\ntemp (degrees Celcius)\nsal (PSS-78)\nO2 (micromoles/kilogram)\nfluor_re (mircorgrams/liter)\nUrea (nanomoles/liter)\nUrea_sd (unitless)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_4055_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_4055_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_4055_v1/index.htmlTable https://www.bco-dmo.org/dataset/4055 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_4055_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_4055_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_4055_v1
log in [Hog reef coral core trace metals] - Trace metal ratios from four coral skeletons from three coral species (Diploria labyrinthiformis, Pseudodiploria strigosa, Orbicella franksi) extracted from Hog Reef in Bermuda, collected in August of 2016. (Drivers of coral and reef-scale calcification in the North Atlantic) These data include trace metal ratios from four coral skeletons from three coral species (Diploria labyrinthiformis, Pseudodiploria strigosa, Orbicella franksi) extracted from Hog Reef in Bermuda. The cores were collected in August of 2016 using small boats from the Bermuda Institute of Ocean Sciences (BIOS). Trace metal ratios were measured at intervals of 200 micrometer in each coral core ranging from the top to a core depth of 36305 to 79625 micrometer using LA-ICP-MS. Understanding seasonal, interannual, and long-term variations in trace metal ratios incorporated into coral skeletons has the potential to refine our understanding of environmental drivers of coral calcification. These data were collected by Dr. Andreas Andersson, Scripps Institution of Oceanography, University of California San Diego, and Dr. Travis Courtney, University of Puerto Rico, Mayagüez Campus.\n\ncdm_data_type = Other\nVARIABLES:\ncore_ID (unitless)\nspecies (unitless)\nsite (unitless)\ncore_collection_date (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\ndist (micrometer)\nLi_Ca (micromol/mol)\nB_Ca (micromol/mol)\nMg_Ca (micromol/mol)\nFe_Ca (micromol/mol)\nSr_Ca (micromol/mol)\nBa_Ca (micromol/mol)\nPb_Ca (micromol/mol)\nTh_Ca (micromol/mol)\nU_Ca (micromol/mol)\n BCO-DMO bcodmo_dataset_963175_v1
log in [Holothuria floridana viromes] - Viral metagenomic investigation of the Caribbean echinoderm Holothuria floridana collected in Marathon, Florida in Sep 2023 (Exploring the role of boundary layer microbial remineralization in flavivirus-host dynamics) Echinoderms play crucial roles in coral reef ecosystems, where they are significant detritivores and herbivores. The phylum is widely known for its boom and bust cycles, driven by food availability, predation pressure and mass mortalities. Hence, surveillance of potential pathogens and associates of grossly normal specimens is important to understanding their roles in ecology and mass mortality. We performed viral surveillance of the coral reef echinoderm Holothuria floridana (urn:lsid:marinespecies.org:taxname:210900), using metagenomics. Grossly normal H. floridana specimens were collected from a reef in Florida. Viral metagenomes were assembled and aligned against viral genomes and protein encoding regions. Metagenomic reads and previously sequenced transcriptomes were further investigated for putative viral elements by Kraken2. H. floridana yielded viral taxa similar to those found in other sea cucumbers, including Pisoniviricetes (Picornaviruses), Ellioviricetes (Bunyaviruses), and Magsaviricetes (Nodaviruses). This dataset includes the accession information for the sequences performed and archived at the National Center for Biotechnology Information (NCBI) Sequence Read Archive.\n\ncdm_data_type = Other\nVARIABLES:\nSRA_accession (unitless)\nSRA_study (unitless)\nbioproject_accession (unitless)\nbiosample_accession (unitless)\nsample_name (unitless)\nlibrary_ID (unitless)\ntitle (unitless)\nlibrary_strategy (unitless)\nlibrary_source (unitless)\nlibrary_selection (unitless)\nlibrary_layout (unitless)\nplatform (unitless)\ninstrument_model (unitless)\ndesign_description (unitless)\nfiletype (unitless)\n... (5 more variables)\n BCO-DMO bcodmo_dataset_985655_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_997408_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_997408_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_997408_v1/ public [Homarine response experiments RC0078] - Sequence data accession numbers originating from seawater homarine addition experiments conducted on R/V Rachel Carson RC0078 cruise in the Salish Sea in June 2022 (Collaborative Research: Resolving the production and fate of nitrogenous metabolites in the surface ocean) This dataset contains BioSample/SRA accession identifiers and links for metatranscriptomic samples from seawater homarine-addition incubation experiments conducted during R/V Rachel Carson cruise RC0078 in June 2022 in the Salish Sea near the Strait of Juan de Fuca. Treatments included homarine-amended and unamended control seawater used to identify microorganisms and genes responsive to homarine.\n\ncdm_data_type = Other\nVARIABLES:\nCruise (unitless)\nStation (unitless)\nCast (unitless)\ndepth (m)\nDate (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\ntreatment_type (unitless)\nBioSample (unitless)\nSRA (unitless)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_997408_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_997408_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_997408_v1/index.htmlTable https://osprey.bco-dmo.org/dataset/997408 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_997408_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_997408_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_997408_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_3937_v2 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_3937_v2.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_3937_v2/ public [HOT CTD Profiles] - Two decibar-averaged CTD profiles from the Hawaii Ocean Time-Series cruises from 1988-2023 (HOT project) ([Current] Hawaii Ocean Time-series (HOT): 2023-2028;  [Previous] Hawaii Ocean Time-series (HOT): Sustaining ocean ecosystem and climate observations in the North Pacific Subtropical Gyre) The dataset includes CTD data collected by the Hawaii Ocean Time-series (HOT) ocean measurement program on cruises taken from October 1988 to December 2023, during the monthly expedition to Station ALOHA. HOT CTD data are collected using a SeaBird CTD 9-11 (9-11 Plus with dual sensors as of HOT-54) at the maximum sampling rate of 24 samples per second (24 Hz). They are screened for errors and processed to 2-dbar averages. The majority of the sampling effort, approximately 60-72 h per standard HOT cruise, is spent at Station ALOHA. High vertical resolution environmental data are collected with a Sea-Bird CTD having external temperature (T), conductivity (C), dissolved oxygen (DO) and fluorescence (F) sensors and an internal pressure (P) sensor. A Sea-Bird 24-place carousel and an aluminum rosette that is capable of supporting 24 12-L PVC bottles are used to obtain water samples from desired depths. The CTD and rosette are deployed on a 3-conductor cable allowing for real-time display of data and for tripping the bottles at specific depths of interest.\n\ncdm_data_type = Other\nVARIABLES:\ncruise_name (unitless)\nEXPOCODE (unitless)\nstation (unitless)\ncast (unitless)\ntime (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\nlongitude (degrees_east)\nlatitude (degrees_north)\ndepth (Depth_max, m)\npres_max (decibars (db))\nHOT_summary_file_name (unitless)\nparameters (unitless)\nnum_bottles (unitless)\nsection (unitless)\ndepth_hgt (meters (m))\nCTDPRS (Decibars (db))\nCTDTMP (Degrees Celsius)\nCTDSAL (PSU)\n... (7 more variables)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_3937_v2_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_3937_v2_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_3937_v2/index.htmlTable https://osprey.bco-dmo.org/dataset/3937 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_3937_v2.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_3937_v2&showErrors=false&email= BCO-DMO bcodmo_dataset_3937_v2
log in [HOT Niskin bottle samples] - Niskin bottle water samples and associated CTD measurements from the Hawaii Ocean Time-Series cruises from 1988-2023 ([Current] Hawaii Ocean Time-series (HOT): 2023-2028;  [Previous] Hawaii Ocean Time-series (HOT): Sustaining ocean ecosystem and climate observations in the North Pacific Subtropical Gyre) Monthly measurements of the thermohaline structure, water column chemistry, and primary production were collected at station ALOHA as part of the Hawaii Ocean Time-series (HOT) program. This dataset presents biogoeochemical data from water samples collected on cruises HOT-001 through HOT-348 from October 1988 through December 2023.\n\ncdm_data_type = Other\nVARIABLES:\nHOT_ID (unitless)\nVessel (unitless)\nEXPOCODE (unitless)\nWHPID_section (unitless)\ntime (Sampling_iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\nlatitude (degrees_north)\nlongitude (degrees_east)\ndepth (Depth_max, m)\nPressure_max (decibars (db))\nSTNNBR (unitless)\nCASTNO (unitless)\nNumber_bottles (unitless)\nROSETTE_POS (unitless)\nCTDPRS (decibars (db))\nCTDTMP (degrees Celsius)\nCTDSAL (unitless)\nCTDOXY (micromole per kilogram (umol/kg))\nTHETA_ITS90 (degrees Celsius)\nSIGMA (kilogram per cubic meter (kg/m^3))\nSALNITY (unitless)\nOXYGEN (micromole per kilogram (umol/kg))\nDIC (micromole per kilogram (umol/kg))\npH (unitless)\nALKALIN (microequivalent per kilogram (ueq/kg))\n... (69 more variables)\n BCO-DMO bcodmo_dataset_3773_v3
log in [HOT Particle Flux] - Sediment trap flux measurements for the Hawaii Ocean Time-Series (HOT) project from December 1988 to December 2023 at Station ALOHA ([Current] Hawaii Ocean Time-series (HOT): 2023-2028;  [Previous] Hawaii Ocean Time-series (HOT): Sustaining ocean ecosystem and climate observations in the North Pacific Subtropical Gyre) This dataset presents 35 years of particle flux measurements from Hawaii Ocean Time-Series (HOT) cruises during December 1988 to December 2023 at Station ALOHA in the Pacific Ocean north of Hawaii. Particle flux was measured at a standard reference depth using multiple cylindrical particle interceptor traps deployed on a free-floating array for approximately 60 hours during each cruise. Sediment trap design and collection methods are described in Winn et al. (1991). Passively sinking particulate matter was collected, prescreened (335 µm) to remove zooplankton and micronekton carcasses, then the sample materials analyzed for particulate carbon, nitrogen, phosphorus, silica, and mass flux.\n\ncdm_data_type = Other\nVARIABLES:\nCruise (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\nStart_ISO_DateTime_UTC (unitless)\nEnd_ISO_DateTime_UTC (unitless)\ndepth (m)\nTreatment (unitless)\nCarbon_flux (milligrams per square meter per day (mg/m^2/d))\nCarbon_sd_diff (milligrams per square meter per day (mg/m^2/d))\nCarbon_numreps (unitless)\nNitrogen_flux (milligrams per square meter per day (mg/m^2/d))\nNitrogen_sd_diff (milligrams per square meter per day (mg/m^2/d))\nNitrogen_numreps (unitless)\nPhosphorus_flux (milligrams per square meter per day (mg/m^2/d))\nPhosphorus_sd_diff (milligrams per square meter per day (mg/m^2/d))\nPhosphorus_numreps (unitless)\nMass_flux (milligrams per square meter per day (mg/m^2/d))\nMass_sd_diff (milligrams per square meter per day (mg/m^2/d))\nMass_numreps (unitless)\nSilica_flux (milligrams per square meter per day (mg/m^2/d))\n... (15 more variables)\n BCO-DMO bcodmo_dataset_737393_v3
log in [HOT Particle Flux] - Sediment trap flux measurements for the Hawaii Ocean Time-series (HOT) project from December 1988 to December 2024 at Station ALOHA ([Current] Hawaii Ocean Time-series (HOT): 2023-2028;  [Previous] Hawaii Ocean Time-series (HOT): Sustaining ocean ecosystem and climate observations in the North Pacific Subtropical Gyre) This dataset presents over 35 years of particle flux measurements from Hawaii Ocean Time-series (HOT) cruises during December 1988 to December 2024 at Station ALOHA in the Pacific Ocean north of Hawaii. Particle flux was measured at a standard reference depth using multiple cylindrical particle interceptor traps deployed on a free-floating array for approximately 60 hours during each cruise. Sediment trap design and collection methods are described in Winn et al. (1991). Passively sinking particulate matter was collected, prescreened (335 µm) to remove zooplankton and micronekton carcasses, then the sample materials analyzed for particulate carbon, nitrogen, phosphorus, silica, and mass flux.\n\ncdm_data_type = Other\nVARIABLES:\nCruise (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\nStart_ISO_DateTime_UTC (unitless)\nEnd_ISO_DateTime_UTC (unitless)\ndepth (m)\nTreatment (unitless)\nCarbon_flux (milligrams per square meter per day (mg/m^2/d))\nCarbon_sd_diff (milligrams per square meter per day (mg/m^2/d))\nCarbon_numreps (unitless)\nNitrogen_flux (milligrams per square meter per day (mg/m^2/d))\nNitrogen_sd_diff (milligrams per square meter per day (mg/m^2/d))\nNitrogen_numreps (unitless)\nPhosphorus_flux (milligrams per square meter per day (mg/m^2/d))\nPhosphorus_sd_diff (milligrams per square meter per day (mg/m^2/d))\nPhosphorus_numreps (unitless)\nMass_flux (milligrams per square meter per day (mg/m^2/d))\nMass_sd_diff (milligrams per square meter per day (mg/m^2/d))\nMass_numreps (unitless)\nSilica_flux (milligrams per square meter per day (mg/m^2/d))\n... (15 more variables)\n BCO-DMO bcodmo_dataset_737393_v4
log in [HOT Primary Production] - Primary productivity measurements for the Hawaii Ocean Time-Series (HOT) program from October 1988 to December 2023 at Station ALOHA ([Current] Hawaii Ocean Time-series (HOT): 2023-2028;  [Previous] Hawaii Ocean Time-series (HOT): Sustaining ocean ecosystem and climate observations in the North Pacific Subtropical Gyre) Primary productivity measurements from the Hawaii Ocean Time-Series (HOT) program from 1988 through 2023. The 14C-radiotracer method was used to measure the assimilation of dissolved inorganic carbon (DIC) by phytoplankton as an estimate of the rate of photosynthetic production of organic matter in the euphotic zone. All incubations from 1990 through mid-2000 were conducted in situ at eight depths (5, 25, 45, 75, 100, 125, 150 and 175m) over one daylight period using a free-drifting array as described by Winn et al. (1991). Beginning October 2000 (HOT-119), samples were collected from only the upper six depths while the lower two depths were modeled based on the monthly climatology. Starting July 1989 (HOT-008), all incubations were conducted in situ on a free floating, surface tethered array. Integrated carbon assimilation rates were calculated using the trapezoid rule with the shallowest value extended to 0 meters and the deepest extrapolated to a value of zero at 200 meters.\n\ncdm_data_type = Other\nVARIABLES:\nHOT_ID (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\nIncubation_type (unitless)\nFlag_Bottle (unitless)\nIncub_duration (hours)\ntime (Start_iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\nEnd_ISO_DateTime_UTC (seconds since 1970-01-01T00:00:00Z)\ndepth (m)\nChl_a_mean (miligrams per cubic meter (mg/m3))\nChl_a_sd (miligrams per cubic meter (mg/m3))\nFlag_Chla (unitless)\nPheo_mean (miligrams per cubic meter (mg/m3))\nPheo_sd (miligrams per cubic meter (mg/m3))\nFlag_Pheo (unitless)\nLight_rep1 (miligrams Carbon per cubic meter (mg C/m3))\nLight_rep2 (miligrams Carbon per cubic meter (mg C/m3))\n... (22 more variables)\n BCO-DMO bcodmo_dataset_737163_v4
log in [HOT Primary Production] - Primary productivity measurements for the Hawaii Ocean Time-Series (HOT) program from October 1988 to December 2024 at Station ALOHA ([Current] Hawaii Ocean Time-series (HOT): 2023-2028;  [Previous] Hawaii Ocean Time-series (HOT): Sustaining ocean ecosystem and climate observations in the North Pacific Subtropical Gyre) Primary productivity measurements from the Hawaii Ocean Time-Series (HOT) program from 1988 through 2024. The 14C-radiotracer method was used to measure the assimilation of dissolved inorganic carbon (DIC) by phytoplankton as an estimate of the rate of photosynthetic production of organic matter in the euphotic zone. Starting July 1989 (HOT-008), all incubations were conducted in situ on a free-floating, surface tethered array. From 1990 through mid-2000, incubations were conducted in situ at eight depths (5, 25, 45, 75, 100, 125, 150 and 175 m) over one daylight period using a free-drifting array as described by Winn et al. (1991). Beginning October 2000 (HOT-119), samples were collected from only the upper six depths while the lower two depths were modeled based on the monthly climatology. Integrated carbon assimilation rates were calculated using the trapezoid rule with the shallowest value extended to 0 meters and the deepest extrapolated to a value of zero at 200 meters.\n\ncdm_data_type = Other\nVARIABLES:\nHOT_ID (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\nIncubation_type (unitless)\nFlag_Bottle (unitless)\nIncub_duration (hours)\ntime (Start_iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\nEnd_ISO_DateTime_UTC (seconds since 1970-01-01T00:00:00Z)\ndepth (m)\nChl_a_mean (milligrams per cubic meter (mg/m^3))\nChl_a_sd (milligrams per cubic meter (mg/m^3))\nFlag_Chla (unitless)\nPheo_mean (milligrams per cubic meter (mg/m^3))\nPheo_sd (milligrams per cubic meter (mg/m^3))\nFlag_Pheo (unitless)\nLight_rep1 (milligrams Carbon per cubic meter (mg C/m^3))\nLight_rep2 (milligrams Carbon per cubic meter (mg C/m^3))\n... (22 more variables)\n BCO-DMO bcodmo_dataset_737163_v5
log in [HOT Primary Production] - Primary productivity measurements from the Hawaii Ocean Time-Series (HOT) project from 1988-2021 at Station ALOHA ([Current] Hawaii Ocean Time-series (HOT): 2018-2023;  [Previous] Hawaii Ocean Time-series (HOT): Sustaining ocean ecosystem and climate observations in the North Pacific Subtropical Gyre) Primary productivity measurements from the Hawaii Ocean Time-Series (HOT) from 1988 to 2021. The 14C-radiotracer method was used to measure the assimilation of dissolved inorganic carbon (DIC) by phytoplankton as an estimate of the rate of photosynthetic production of organic matter in the euphotic zone. All incubations from 1990 through mid-2000 were conducted in situ at eight depths (5, 25, 45, 75, 100, 125, 150 and 175m) over one daylight period using a free-drifting array as described by Winn et al. (1991). Starting October 2000 (HOT-119), samples were collected from only the upper six depths while the lower two depths were modeled based on the monthly climatology. During 2015, all incubations were conducted in situ on a free floating, surface tethered array. Integrated carbon assimilation rates were calculated using the trapezoid rule with the shallowest value extended to 0 meters and the deepest extrapolated to a value of zero at 200 meters.\n\ncdm_data_type = Other\nVARIABLES:\nCruise (unitless)\nLatitude (degrees_north)\nlongitude (degrees_east)\ntime (Iso_starttime_utc, seconds since 1970-01-01T00:00:00Z)\nISO_EndTime_UTC (seconds since 1970-01-01T00:00:00Z)\ndepth (m)\nIncubation (unitless)\nTime_duration (hours)\nChl_a_mean (miligrams per cubic meter (mg/m3))\nChl_a_sd (miligrams per cubic meter (mg/m3))\nPheo_mean (miligrams per cubic meter (mg/m3))\nPheo_sd (miligrams per cubic meter (mg/m3))\nLight_rep1 (miligrams Carbon per cubic meter (mg C/m3))\nLight_rep2 (miligrams Carbon per cubic meter (mg C/m3))\nLight_rep3 (miligrams Carbon per cubic meter (mg C/m3))\nDark_rep1 (miligrams Carbon per cubic meter (mg C/m3))\nDark_rep2 (miligrams Carbon per cubic meter (mg C/m3))\nDark_rep3 (miligrams Carbon per cubic meter (mg C/m3))\n... (17 more variables)\n BCO-DMO bcodmo_dataset_737163_v2
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_962966_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_962966_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_962966_v1/ public [HOT pTMs, 2020-2023] - Water column particulate metals from Hawaii Ocean Timeseries (HOT)  R/V Kilo Moana cruises at station ALOHA, North Pacific Subtropical Gyre, from December 2020 to November 2023 (Quantifying Iron Turnover in the Upper Ocean via Time-series Measurements at Station ALOHA) We collected water column particulate metal samples onboard Hawaii Ocean Time-series (HOT) cruises between December 2020 and November 2023. All samples were collected at Station ALOHA. Samples were collected using a trace metal rosette and filtered onto 0.2 micron polyethersulfone (PES) filters (approx. 4L per sample). Approx. 11 depth samples were collected for each cruise within the upper 300 m of the water column.\n\nFilters were subject to a 2-stage digestion: 1) a \"Berger\" leach consisting of hydoxylamine and acetic acid, to dissolve labile trace metals, and 2) a digestion with nitric acid and hydrofluoric acid to dissolve recalcitrant metals. Dissolved metals for each leach were analyzed by inductively coupled plasma mass spectrometry at the University of Hawaii at Manoa using a Thermo Scientific iCAP-TQ mass spectrometer. \n\nThis dataset is part of a larger study focused on the cycling of trace metals in the North Pacific Subtropical Gyre, and is embedded within the HOT program.\n\ncdm_data_type = Other\nVARIABLES:\nCruise (unitless)\nISO_DateTime_Local (Time, unitless)\ntime (Time_utc, seconds since 1970-01-01T00:00:00Z)\nlongitude (degrees_east)\nlatitude (degrees_north)\ndepth (m)\npAl_labile (nanomoles per liter (nmol/L))\npAl_labile_qc (unitless)\npTi_labile (nanomoles per liter (nmol/L))\npTi_labile_qc (unitless)\npMn_labile (nanomoles per liter (nmol/L))\npMn_labile_qc (unitless)\npFe_labile (nanomoles per liter (nmol/L))\npFe_labile_qc (unitless)\n... (24 more variables)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_962966_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_962966_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_962966_v1/index.htmlTable https://osprey.bco-dmo.org/dataset/962966 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_962966_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_962966_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_962966_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_905149_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_905149_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_905149_v1/ public [HOTS & BATS Depth Profile Fluorescence] - Fluorescence data from a depth profile collected at 200 m depth intervals at the Bermuda Atlantic Time Series Station (BATS) in August 2019 and at the Hawaii Ocean Time Series Staiton Aloha in July 2021 (The fate of lysis products of picocyanobacteria contributes to marine humic-like chromophoric dissolved organic matter) This dataset contains the Parallel Factor Analysis data derived from excitation emission matrix data from solid-phase extracted.\n\ncdm_data_type = Other\nVARIABLES:\nlocation (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\ndepth (m)\nFmax1 (Raman units (RU))\nFmax2 (Raman units (RU))\nFmax3 (Raman units (RU))\nFmax4 (Raman units (RU))\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_905149_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_905149_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_905149_v1/index.htmlTable https://www.bco-dmo.org/dataset/905149 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_905149_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_905149_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_905149_v1
log in [house equal] - Microsphere counts from Oikopleura dioica houses following feeding incubations with two microsphere sizes (for each functionalized microsphere) available in equal concentration. (Collaborative Proposal: Are all cell surfaces the same? The effects of particle surface property on predator-prey interactions in the microbial loop) Cell surface properties can strongly mediate microbial interactions with predators in soil and host-pathogen systems. Yet, the role of microbial surface properties in avoiding or enhancing predation in the ocean remains a research frontier. Appendicularians are globally abundant marine suspension feeders that capture marine microorganisms in a complex mucous filtration system. We used artificial microspheres to test whether the surface properties of prey particles influenced selection by the appendicularian, O. dioica.  Across microsphere sizes (0.5, 1, 2 and 3 µm) and concentrations (~103-106 particles ml-1), which were varied to represent realistic microbial communities, carboxylate- and amine-modified particles were handled differently by the appendicularians. The carboxylate-modified particles were enriched in the gut while the amine-modified particles were enriched in the mucous filters, leading to different particle fates. \n\nThis datasets includes microsphere counts from appendicularian houses following feeding incubations with two microsphere sizes (for each functionalized microsphere) available in equal concentration.\n\ncdm_data_type = Other\nVARIABLES:\nHouse_ID (unitless)\nC_1_um (unitless)\nC_2_um (unitless)\nA_1_um (unitless)\nA_2_um (unitless)\n BCO-DMO bcodmo_dataset_956525_v1
log in [house varied] - Microsphere counts from Oikopleura dioica houses following feeding incubations with three microsphere sizes (for each functionalized microsphere) available in environmentally relevant concentrations (Collaborative Proposal: Are all cell surfaces the same? The effects of particle surface property on predator-prey interactions in the microbial loop) Cell surface properties can strongly mediate microbial interactions with predators in soil and host-pathogen systems. Yet, the role of microbial surface properties in avoiding or enhancing predation in the ocean remains a research frontier. Appendicularians are globally abundant marine suspension feeders that capture marine microorganisms in a complex mucous filtration system. We used artificial microspheres to test whether the surface properties of prey particles influenced selection by the appendicularian, O. dioica.  Across microsphere sizes (0.5, 1, 2 and 3 µm) and concentrations (~103-106 particles ml-1), which were varied to represent realistic microbial communities, carboxylate- and amine-modified particles were handled differently by the appendicularians. The carboxylate-modified particles were enriched in the gut while the amine-modified particles were enriched in the mucous filters, leading to different particle fates.\n\nThis dataset includes microsphere counts from appendicularian houses for incubations with microsphere concentrations varied with size.\n\ncdm_data_type = Other\nVARIABLES:\nHouse_ID (Unitless)\nReplicate (Number)\nC_0_5_um_ml (Count per ml)\nC_1_um_ml (Count per ml)\nC_3_um_ml (Count per ml)\nA_0_5_um_ml (Count per ml)\nA_1_um_ml (Count per ml)\nA_3_um_ml (Count per ml)\n BCO-DMO bcodmo_dataset_956486_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_943994_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_943994_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_943994_v1/ public [Houston Galveston Bay Carbonate] - Carbonate chemistry data from water samples collected aboard the R/V Trident in Galveston Bay, Northwestern Gulf of Mexico from October 2017 to September 2018 (RAPID: Capturing the Signature of Hurricane Harvey on Texas Coastal Lagoons) Quantifying the direction and magnitude of CO2 flux in estuaries is necessary to constrain the global carbon cycle, yet carbonate systems and CO2 flux in subtropical and urbanized estuaries are not yet fully determined. To estimate the CO2 flux for Galveston Bay, a subtropical estuary located in the northwestern Gulf of Mexico proximal to the Houston-Galveston metroplex, monthly cruises were conducted along a transect extending from the Houston ship channel to the mouth of Galveston Bay and Gulf of Mexico from October 2017 to September 2018.  On these cruises, discrete water samples were collected for laboratory analyses of total alkalinity (TA), total dissolved inorganic carbon (DIC), and pH, and aragonite saturation state (ΩAr) was calculated. Mean Bay water TA was 2062.0 ± 213.2 µmol kg-1, DIC was 1863.7 ± 160.9 µmol kg-1, pH was 8.09 ± 0.17, and ΩAr was 2.43 ± 0.96. When compared to theoretical river-ocean mixing scenarios, TA values fell above the mixing line in winter and summer, indicating production, while DIC values displayed more spatial variability that included both production and consumption in different seasons.  A large freshwater inflow event in spring was followed by a period of dilution (low salinity, TA, and DIC) and enhanced primary production (low pCO2, water, CO2 uptake, and high chlorophyll-a levels). Carbonate chemistry in Galveston Bay was regulated by an interaction between hydrology and biogeochemistry. The carbonate chemistry and CO2 uptake patterns of Galveston Bay differ from those that are common in temperate estuaries, which reiterates the need for further research in subtropical estuaries.\n\ncdm_data_type = Other\nVARIABLES:\nStation (unitless)\nSample (unitless)\nDate (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\ndepth (m)\nTemp (decrees Celsius)\nSonde_Salinity (unitless)\nDO_percentage (unitless)\nDO (milligrams per liter)\nDIC (micromol per kg)\n... (9 more variables)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_943994_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_943994_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_943994_v1/index.htmlTable https://osprey.bco-dmo.org/dataset/943994 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_943994_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_943994_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_943994_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_949729_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_949729_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_949729_v1/ public [Houston Galveston Bay pCO2] - pCO2 underway measurements collected aboard the R/V Trident in Galveston Bay, Northwestern Gulf of Mexico from October 2017 to September 2018 (RAPID: Capturing the Signature of Hurricane Harvey on Texas Coastal Lagoons) Quantifying the direction and magnitude of CO2 flux in estuaries is necessary to constrain the global carbon cycle, yet carbonate systems and CO2 flux in subtropical and urbanized estuaries are not yet fully determined. To estimate the CO2 flux for Galveston Bay, a subtropical estuary located in the northwestern Gulf of Mexico proximal to the Houston-Galveston metroplex, monthly cruises were conducted along a transect extending from the Houston ship channel to the mouth of Galveston Bay and Gulf of Mexico from October 2017 to September 2018. Underway pCO2measurements were recorded using a Shipboard Underway pCO2 Environmental Recorder (SUPER-CO2) system. CO2flux was calculated for 0.025° x 0.025° latitude increments along the transect and total CO2 flux for the Bay was estimated. Mean Bay water pCO2was 384.2 ± 56.7 µatm. A large freshwater inflow event in spring was followed by a period of dilution (low salinity, TA, and DIC) and enhanced primary production (low pCO2, water, CO2 uptake, and high chlorophyll-a levels). CO2 flux exhibited large seasonal and spatial variability, likely primarily due to seasonality in photosynthesis and variability of freshwater inflow events.  Overall, Galveston Bay was a sink for CO2, with a mean air-sea CO2 flux of -8.3 ± 17.3 mmol m-2 d-1, and carbonate chemistry in Galveston Bay was regulated by an interaction between hydrology and biogeochemistry. The carbonate chemistry and CO2 uptake patterns of Galveston Bay differ from those that are common in temperate estuaries, which reiterates the need for further research in subtropical estuaries.\n\ncdm_data_type = Other\nVARIABLES:\nDOY_UTC (day (fraction))\nCO2_ppm (parts per million (ppm or micromol per mol))\nCO2_abs (unitless)\nH2O_ppt (parts per thousand (mmol mol⁻¹))\nH2Oabs (unitless)\nCell_T (degrees C)\nCell_P (kPa)\npwrV_820 (volts (V))\nTemp_C (degrees C)\nPress_kPa (kPa)\nTemp_V (volts (V))\n... (11 more variables)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_949729_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_949729_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_949729_v1/index.htmlTable https://osprey.bco-dmo.org/dataset/949729 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_949729_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_949729_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_949729_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_943964_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_943964_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_943964_v1/ public [Houston Galveston Bay Pigments] - Pigment data from surface water samples collected aboard the R/V Trident in Galveston Bay, Northwestern Gulf of Mexico from October 2017 to September 2018 (RAPID: Capturing the Signature of Hurricane Harvey on Texas Coastal Lagoons) Quantifying the direction and magnitude of CO2 flux in estuaries is necessary to constrain the global carbon cycle, yet carbonate systems and CO2 flux in subtropical and urbanized estuaries are not yet fully determined. To estimate the CO2 flux for Galveston Bay, a subtropical estuary located in the northwestern Gulf of Mexico proximal to the Houston-Galveston metroplex, monthly cruises were conducted along a transect extending from the Houston ship channel to the mouth of Galveston Bay and Gulf of Mexico from October 2017 to September 2018. Surface samples were collected at each of five stations in the Bay and analyzed for chlorophyll-a. Chlorophyll-a concentrations varied spatially and temporally throughout the study period and were highest in the inner Bay in late winter (February) and at all stations in mid-spring (April), following the freshwater inflow event. Stations 4 and 5 (inner Bay, closest to the San Jacinto River mouth) had early peak chlorophyll-a concentrations in February of 2018 (39.9 and 63.3 µg L-1, respectively), whereas mid- and outermost sampling locations 1, 2, and 3 peaked in mid-April (28.2, 44.2, and 35.8 µg L-1, respectively). Slight increases in chlorophyll-a were observed at stations 4 and 5 in July and September of 2018. When compared with carbonate chemistry data, it appears that large freshwater inflows in late winter and early spring stimulated photosynthesis in the Bay, leading to an influx of atmospheric CO2.\n\ncdm_data_type = Other\nVARIABLES:\nDate (unitless)\nSample_Name (unitless)\nStation (unitless)\nlatitude (Station_latitude, degrees_north)\nlongitude (Station_longitude, degrees_east)\ntotal_Chla (nmol L-1)\npheophorbide (nmol L-1)\npheophytin (nmol L-1)\nChlc2 (nmol L-1)\nPheophorbide (nmol L-1)\nChlb (nmol L-1)\nDivChla (nmol L-1)\n... (11 more variables)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_943964_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_943964_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_943964_v1/index.htmlTable https://osprey.bco-dmo.org/dataset/943964 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_943964_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_943964_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_943964_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_944425_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_944425_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_944425_v1/ public [Houston Galveston Bay Underway Temp and Sal] - Temperature and salinity data from in situ underway sensors aboard the R/V Trident in Galveston Bay, Northwestern Gulf of Mexico from October 2017 to September 2018 (RAPID: Capturing the Signature of Hurricane Harvey on Texas Coastal Lagoons) Quantifying the direction and magnitude of CO2 flux in estuaries is necessary to constrain the global carbon cycle, yet carbonate systems and CO2 flux in subtropical and urbanized estuaries are not yet fully determined. To estimate the CO2 flux for Galveston Bay, a subtropical estuary located in the northwestern Gulf of Mexico proximal to the Houston-Galveston metroplex, monthly cruises were conducted along a transect extending from the Houston ship channel to the mouth of Galveston Bay and Gulf of Mexico from October 2017 to September 2018. Underway pCO2 measurements were recorded using a Shipboard Underway pCO2 Environmental Recorder (SUPER-CO2) system. CO2flux was calculated for 0.025° x 0.025° latitude increments along the transect and total CO2 flux for the Bay was estimated. Mean Bay water pCO2 was 384.2 ± 56.7 µatm. A large freshwater inflow event in spring was followed by a period of dilution (low salinity, TA, and DIC) and enhanced primary production (low pCO2, water, CO2 uptake, and high chlorophyll-a levels). CO2 flux exhibited large seasonal and spatial variability, likely primarily due to seasonality in photosynthesis and variability of freshwater inflow events.  Overall, Galveston Bay was a sink for CO2, with a mean air-sea CO2 flux of -8.3 ± 17.3 mmol m-2 d-1, and carbonate chemistry in Galveston Bay was regulated by an interaction between hydrology and biogeochemistry. The carbonate chemistry and CO2 uptake patterns of Galveston Bay differ from those that are common in temperate estuaries, which reiterates the need for further research in subtropical estuaries.\n\ncdm_data_type = Other\nVARIABLES:\nDOY_UTC (unitless)\nTemp (degrees Celcius)\nCond (S m-1)\nSal (unitless)\ntime (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\nTSG_ID (unitless)\nSource_File (unitless)\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_944425_v1/index.htmlTable https://osprey.bco-dmo.org/dataset/944425 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_944425_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_944425_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_944425_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_922101_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_922101_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_922101_v1/ public [HRR 18S full-length sequence BLAST results] - Results of 18S sequencing of full-length 18S rDNA for metabarcoding samples collected during R/V Point Sur cruise PS18-09 in the Western Gulf of Mexico in September 2017 (RAPID: Hurricane Impact on Phytoplankton Community Dynamics and Metabolic Response) This dataset includes results of 18S sequencing of full-length 18S rDNA for metabarcoding samples collected from surface depth at stations 06, 11, 16, 21, SS, and GI during R/V Pt. Sur cruise PS18-09 Leg 1 using Nanopore minION.\n\ncdm_data_type = Other\nVARIABLES:\nStation (unitless)\nLeg (unitless)\nLatitude (degrees_north)\nlongitude (degrees_east)\nSequence_ID (unitless)\nTaxonomy (unitless)\nSimilarity (percent)\nlength (base pairs (bp))\nmismatches (base pairs (bp))\ngaps (unitless)\nQ_start (base pairs (bp))\nQ_end (base pairs (bp))\nR_start (base pairs (bp))\nR_end (base pairs (bp))\ne_value (unitless)\nscore (unitless)\nfile_name_orig (unitless)\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_922101_v1/index.htmlTable https://www.bco-dmo.org/dataset/922101 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_922101_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_922101_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_922101_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_986923_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_986923_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_986923_v1/ public [Hydrothermal Estuaries Noble Gases] - Noble gas concentrations and saturation anomalies from water samples collected on R/V Atlantis cruise AT50-15 in the Juan de Fuca Ridge from August to September 2023 (Collaborative Research: Hydrothermal Estuaries: What Sets the Hydrothermal Flux of Fe and Mn to the Oceans?) This dataset contains the analytical results from 126 samples collected from the complex hydrothermal plume system overlying, and dispersing away from, the Endeavour segment of the Juan de Fuca Ridge. The samples were collected in August and September 2023 aboard R/V Atlantis cruise AT50-15 and analyzed at WHOI in the isotope geochemistry facility. The samples were collected, primarily, to trace dilution within a hydrothermal plume whose physical dispersion was predicted from theoretical modelling and traced by the AUV Sentry. Multiple tracers were sampled for, from both the Sentry AUV and from vertical casts of the Texas A&M's trace metal clean CTD-rosette, with noble gas samples collected from the CTD-rosette only because of sample volume requirements.  Measurement of these samples for XS3He, in particular, provides a frame of reference against which all other trace element data in the same samples can be normalized to allow for effects that are due to dilution rather than any biogeochemical reactivity.\n\ncdm_data_type = Other\nVARIABLES:\nSta (unitless)\ntime (Cast_start_iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\nCast_End_ISO_DateTime_UTC (seconds since 1970-01-01T00:00:00Z)\nlongitude (Long, degrees_east)\nlatitude (degrees_north)\nCast (unitless)\nBott (unitless)\nPress (decibars)\nDup (unitless)\nTemp (degrees Celsius)\nSalt (PSU)\nTheta (kilograms per cubic meter)\nHe_conc (nM/kg)\nNe_conc (nM/kg)\nAr_conc (uM/kg)\nKr_conc (nM/kg)\nXe_conc (nM/kg)\n... (7 more variables)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_986923_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_986923_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_986923_v1/index.htmlTable https://osprey.bco-dmo.org/dataset/986923 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_986923_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_986923_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_986923_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_986882_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_986882_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_986882_v1/ public [Hydrothermal vent microbial and viral metagenomes] - Metagenome sequences from deep-sea hydrothermal vent microbial and viral communities collected at International District hydrothermal field, Axial Seamount during 2019, 2021, 2022, and 2023 (CAREER: Temporal dynamics of microbial and viral function and adaptation in hydrothermal vents) These data include metagenomes of both viruses and microbes collected during the Ocean Observatories Initiative's Regional Cabled Array (OOI RCA) annual maintenance cruises. Cruises occurred in 2019, 2021, 2022, and 2023. Instruments used included the Particle and Phytoplankton (PPS) DNA sampler deployed at Tiny Towers hydrothermal vent in the International District, as well as the Universal Fluid Obtainer (UFO) fluid sampler mounted aboard ROV Jason. These data assess changes in the microbial and viral community over time at Tiny Towers and at nearby hydrothermal vents, and were collected and processed by Dr. Rika Anderson at Carleton College.\n\ncdm_data_type = Other\nVARIABLES:\nAccession (unitless)\nSample_Name (unitless)\nSPUID (unitless)\nOrganism (unitless)\nTax_ID (unitless)\nBioProject (unitless)\nsample_name (unitless)\ncollection_date (unitless)\ncollection_time (unitless)\ndepth (m)\nenv_broad_scale (unitless)\nenv_local_scale (unitless)\nenv_medium (unitless)\ngeo_loc_name (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\ncollection_method (unitless)\ntemp (degrees Celsius)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_986882_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_986882_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_986882_v1/index.htmlTable https://osprey.bco-dmo.org/dataset/986882 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_986882_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_986882_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_986882_v1
log in [Hypoxia Tent Experiment 2022] - Sequence accession numbers for 16S rRNA genes characterizing microbiome changes in Agaricia tenuifolia and Siderastrea siderea coral species after being exposed to hypoxia and after a short period of recovery in 2022 experiments (Collaborative Research: Biodiversity and resilience of corals and their microbiomes in response to ocean deoxygenation) This dataset includes accession numbers and related information for 16S rRNA genes characterizing microbiome changes in Agaricia tenuifolia and Siderastrea siderea coral species after being exposed to hypoxia and after a short period of recovery. Corals for the experiment were collected by SCUBA divers in summer 2022. Sequence data are available in The National Center for Biotechnology Information (NCBI) Sequence Read Archive (SRA) under BioProject accession PRJNA1197146.\n\ncdm_data_type = Other\nVARIABLES:\nBioProject (unitless)\nBioSample (unitless)\nsample (unitless)\nSRA_Experiment (unitless)\nSRA_Run (unitless)\nSRA_Study (unitless)\ndate (unitless)\nsample_descrip (unitless)\nhost (unitless)\nsite (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\n BCO-DMO bcodmo_dataset_986518_v1
log in [I/Ca ratios MAZ-1E-04] - Iodine:calcium ratios in planktic foraminifera in the eastern Pacific through the last deglaciation determined from core MAZ-1E-04 collected on cruise MAZ-I aboard the R/V El Puma in April 2015 (Glacial-Interglacial Changes in Oxygen Minimum Zones Using Deep-Dwelling, Low-Oxygen Planktic Foraminifera) The structure and drivers of oxygen minimum zone (OMZ) evolution in the Eastern Tropical North Pacific (ETNP) are investigated from ~20.7-10 ka using a multi-proxy approach from core MAZ-1E-04 (22°54.29'N, 106°54.59'W; 1463 m depth). Understanding how OMZ vertical structure changed during past glacial/interglacial cycles will help elucidate the drivers and patterns of OMZ expansion/contraction on longer timescales. \n\nHere, Iodine:Calcium ratios are used from planktic foraminifera N. dutertrei from core MAZ-1E-04 collected on cruise MAZ-I aboard the R/V El Puma in April 2015 to identify periods of low oxygen within the thermocline. Universidad Nacional Autónoma de México financed ship time and M. Alejandro Rodríguez Ramírez directed the oceanographic campaign to retrieve the core.\n\ncdm_data_type = Other\nVARIABLES:\nDepth_core (centimeter (cm))\nAge (years before present (yr BP))\nN_dutertrei_count (unitless)\nWeight (micrograms)\nI_Ca (micromol per mol)\n BCO-DMO bcodmo_dataset_991492_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_893615_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_893615_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_893615_v1/ public [Identity and Heights of Octocoral Species] - Identity and heights of Octocoral species found on transects at 6 sites on the south shore of St John, U.S. Virgin Islands in 2021 and 2022 (Collaborative Research: Pattern and process in the abundance and recruitment of Caribbean octocorals) Transect surveys were conducted at 6 sites on the south shore of St John, within the U.S. Virgin Islands National Park during the summers of 2021 and 2022.  Depending on the site, 3 to 6 transects were established.  Identity and heights of all arborescent octocorals greater than or equal to 5 centimeters were recorded from 1 square meter quadrats on the transects.  The position of colonies relative to the site, meter on the transect, and side of the quadrat are included.   Surveys were conducted by Drs. Howard Lasker and Christopher Wells of the University at Buffalo.\n\ncdm_data_type = Other\nVARIABLES:\nCensus_Year (unitless)\nDate (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\nSite (unitless)\nTransect_Position (unitless)\nMeter_on_transect (meters)\nSide_of_transect (unitless)\nMeter_Side (unitless)\nGenus (unitless)\nSpecies (unitless)\nSpecies_code (unitless)\nTotal_height (centimeters (cm))\nHeight_of_living_tissue (centimeters (cm))\nBasal_damage (centimeters (cm))\nDamage (unitless)\nCyphoma_present (unitless)\nComments (unitless)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_893615_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_893615_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_893615_v1/index.htmlTable https://osprey.bco-dmo.org/dataset/893615 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_893615_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_893615_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_893615_v1
log in [In situ dissolved oxygen] - In situ dissolved oxygen of experimental chambers and ambient sensors acquired in the shallow subtidal shore-accessible site in Bon Secour Bay, Mobile Bay, Alabama, USA between August 7-12, 2021 (CAREER: Mechanisms of bioturbation and ecosystem engineering by benthic infauna) This dataset is part of a field study examining the effect of diel oxygen cycling on faunal activity, and in turn sediment oxygen demand. The field experiment used in situ flow-through benthic chambers to measure oxygen consumption, as described in the methods paper Gadeken et al 2023. The chambers were deployed and retrieved in three ~24 hour deployments in a shallow subtidal area of Bon Secour Bay in Mobile Bay, AL, in August 2021. This dataset contains streamlined data from the HOBO dissolved oxygen (DO) loggers and the log time of when the chamber system flushes the overlying water in the chamber and starts a new incubation.\n\ncdm_data_type = Other\nVARIABLES:\nlatitude (degrees_north)\nlongitude (degrees_east)\ndate_time (unitless)\nDO (mg L-1)\ntemperature (Degrees Fahrenheit)\nDeployment (unitless)\nChamber_Ambient (unitless)\n BCO-DMO bcodmo_dataset_941205_v1
log in [In situ N2 production rates from the ETNP ODZ] - In situ N2 production rates from the Eastern Tropical North Pacific Oxygen Deficient Zone on the R/V Sikuliaq cruise SKQ201617S in January 2017 and R/V Revelle in April 2018 cruise RR1805 (Dimensions: Diversity, assembly and function of microbial communities on suspended and sinking particles in a marine Oxygen Deficient Zone) In situ N2 production rates with and without the addition of sinking particles were obtained using in situ incubator sediment trap systems in the Eastern Tropical North Pacific Oxygen Deficient Zone on two cruises.  The R/V Sikuliaq cruise SKQ201617S in January 2017 sampled two stations: St P2 (16.5N 107W) and St P1 (20.1N 106.2W). St P2 is offshore in the core of the Oxygen Deficient Zone, and St P1 is on the continental slope. The R/V Revelle cruise RR1805 sampled approximately the same two stations in April 2018: St P2 (16.9N 107W) and St P1 (20.3N 106.1W). These two stations included an anoxic Oxygen Deficient Zone from 105-820 m for St P2 and 90-800 m for St P1. \n\nFor both the 2017 and 2018 cruises, two types of traps were deployed: 1) in shallow waters (<150 m), traps with a solid plastic cone top (0.46 m2 opening area) were used, 2) in deep waters (>150 m), net traps (1.24 m2 opening area) were used. For all types of trap, the cod end had bottoms that were open during deployment and during an 8 hour equilibration period at the target depth performed to remove oxygen contamination. Cod ends were closed with a gate valve, using a pre-programmed electronic dissolving link (burn wire) system controlled by an onboard Arduino microcontroller to start collection at the correct depth, and a second gate valve that closed the top of the cod end before incubation and closed a bottle containing only seawater. 15N labeled nitrite was added in situ to both the +particles chamber and the water only chamber using a syringe and the Arduino microcontroller. Incubations were 12-36 hours. Immediately after returning the sediment trap-in situ incubator systems shipboard, the experimental chambers were sampled using single-use needles into 12 mL septum-capped glass Exetainer vials (LabCo, UK) that had been purged with helium gas for 5 minutes. Duplicate vials were sampled for each incubation. Vials were poisoned with 50% (w/v) zinc chloride and stored in the dark at room temperature.  To obtain background isotopic composition of N2 gas, water from CTD casts was collected into Exetainers by overfilling the exetainer four times and closing the exetainer with a needle inserted to just below the septa, to cause any bubbles to be removed during closing. Exetainers were measured for 29N2 and 30N2 accumulation on a Thermo Delta V IRMS in continuous flow mode using helium gas at the University of Washington. \n\nAllan Devol, Wendi Ruef and Rick Keil designed these in situ incubator trap systems. Megan Duffy, Allan Devol and Rick Keil from the University of Washington deployed and sampled these in situ incubator sediment trap systems. Clara Fuchsman from the University of Washington and Horn Point Laboratory, part of the University of Maryland Center for Environmental Science, ran the rate measurements on the mass spectrometer and did the initial data analysis. Both Megan Duffy and Clara Fuchsman did further data analysis.\n\ncdm_data_type = Other\nVARIABLES:\nincubation_ID (unitless)\n... (10 more variables)\n BCO-DMO bcodmo_dataset_1002907_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_962594_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_962594_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_962594_v1/ public [In situ prokaryotic and viral abundance] - In situ prokaryotic and viral abundance from hydrothermal vent site Tica samples from R/V Falkor (too) cruise FKt230629, East Pacific Rise in July of 2023 (The Underworld of Hydrothermal Vents) The dataset contains data on in situ prokaryotic and viral abundance as sampled during the R/V Falkor (too) cruise FKt230629 in July of 2023.  Samples were collected using a suction-sampler operated onboard the remotely-operated vehicle (ROV) SuBastian at the hydrothermal vent site Tica.\n\ncdm_data_type = Other\nVARIABLES:\nsubsample_id (unitless)\nhabitat (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\ndate (unitless)\ntime_local (Time, unitless)\ntime (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\ndepth (m)\nprokaryotes (10000 prokaryotic cells per milliliter (10^4 mL^-1))\nviruses (10000 viruses per milliliter (10^4 mL^-1))\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_962594_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_962594_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_962594_v1/index.htmlTable https://osprey.bco-dmo.org/dataset/962594 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_962594_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_962594_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_962594_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_918182_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_918182_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_918182_v1/ public [In situ seawater temperature at Heron Island (2015-2020)] - Measurements of seawater temperature, depth, and photosynthetically active radiation (PAR) across seven sites at Heron Island, southern Great Barrier Reef from 2015 to 2020 (Influence of environmental pH variability and thermal sensitivity on the resilience of reef-building corals to acidification stress) Increasing ocean temperatures threaten coral reefs globally, but corals residing in habitats that experience high thermal variability are thought to be better adapted to survive climate-induced heat stress. Here, we used long-term ecological observations and in situ temperature data from Heron Island, southern Great Barrier Reef to investigate how temperature dynamics within various thermally variable vs. thermally stable reef habitats change during a marine heatwave and the resulting consequences for coral community survival. This data set includes the in-field measurements of seawater temperature, depth, and photosynthetically active radiation (PAR) across seven sites at Heron Island, southern Great Barrier Reef.\n\ncdm_data_type = Other\nVARIABLES:\nISO_DateTime_AEST (unitless)\ntime (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\nSite (unitless)\nLatitude (degrees_north)\nlongitude (degrees_east)\nDate_AEST (unitless)\ndepth (m)\nPAR (micromoles quanta per square meter per second (umol quanta m-2 s-1))\nTemperature (degrees Celsius)\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_918182_v1/index.htmlTable https://www.bco-dmo.org/dataset/918182 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_918182_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_918182_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_918182_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_940989_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_940989_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_940989_v1/ public [In situ sediment characteristics] - In situ sediment characteristics acquired in the shallow subtidal shore-accessible site in Bon Secour Bay, Mobile Bay, Alabama, USA between August 7-12, 2021 (CAREER: Mechanisms of bioturbation and ecosystem engineering by benthic infauna) This dataset is part of a field study examining the effect of diel oxygen cycling on faunal activity, and in turn sediment oxygen demand. The field experiment used in situ flow-through benthic chambers to measure oxygen consumption, as described in the methods paper Gadeken et al 2023. The chambers were deployed and retrieved in three ~24 hour deployments in a shallow subtidal area of Bon Secour Bay in Mobile Bay, AL, in August 2021. This dataset contains sediment characteristic information from three cores taken within 10m of the deployment location.\n\ncdm_data_type = Other\nVARIABLES:\nSampling_Date (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\nCore (unitless)\nSection (centimeter (cm))\ndepth (m)\ntin_ID (unitless)\nSalinity (unitless)\ntin_weight (gram (gr))\ntin_wet (gram (gr))\ntin_dry (gram (gr))\ntin_burned (gram (gr))\nwc_percent (percent (%) weight)\nporosity (percent (%) volume)\nloi_percent (percent (%) weight)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_940989_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_940989_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_940989_v1/index.htmlTable https://osprey.bco-dmo.org/dataset/940989 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_940989_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_940989_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_940989_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_940735_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_940735_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_940735_v1/ public [In situ sediment oxygen demand and infauna] - Processed dissolved oxygen and infauna of experimental chambers and ambient sensors acquired in the shallow subtidal shore-accessible site in Bon Secour Bay, Mobile Bay, Alabama, USA between August 7-12, 2021 (CAREER: Mechanisms of bioturbation and ecosystem engineering by benthic infauna) This data set includes data and scripts from a field study examining the effect of diel oxygen cycling on faunal activity, and in turn sediment oxygen demand. The field experiment used in situ flow-through benthic chambers to measure oxygen consumption, as described in the methods paper Gadeken et al 2023 in L&O:Methods. The chambers were deployed and retrieved in three ~24 hour deployments in a shallow subtidal area of Bon Secour Bay in Mobile Bay, AL, in August 2021. Included in this data set are the raw data files of oxygen and temperature measurements from Onset HOBO DO loggers integrated into the benthic chamber system, annotated MATLAB scripts and workspaces detailing data processing and analysis, and faunal community data from the benthic chambers.\n\ncdm_data_type = Other\nVARIABLES:\nlatitude (degrees_north)\nlongitude (degrees_east)\nStartTime (unitless)\ndayfrac (unitless)\nChamber (unitless)\nSOD (millimoles per square meter per day (mmol m-2 d-1))\nInitialDO (milligrams per liter (mg L-1))\nbiomass (grams (g))\ndeployment (unitless)\nsample (unitless)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_940735_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_940735_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_940735_v1/index.htmlTable https://osprey.bco-dmo.org/dataset/940735 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_940735_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_940735_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_940735_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_905047_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_905047_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_905047_v1/ public [In-field temperature data Kane'ohe Bay] - In-field temperature data Kane'ohe Bay, O'ahu, Hawai'i from 2013 to 2023 (RAPID: Collaborative Research: Disentangling the effects of heat stress versus bleaching phenotype on coral performance) Increasingly frequent marine heatwaves are devastating coral reefs. Corals that survive these extreme events must rapidly recover if they are to withstand subsequent events, and long-term survival in the face of rising ocean temperatures may hinge on recovery capacity and acclimatory gains in heat tolerance over an individual's lifespan. To better understand coral recovery trajectories in the face of successive marine heatwaves, we monitored the responses of bleaching-susceptible and bleaching-resistant individuals of two dominant coral species in Hawaiʻi, Montipora capitata and Porites compressa, over a decade that included three marine heatwaves. This dataset includes the in situ temperature data from Kāne'ohe Bay, O'ahu, Hawai'i from 2013-2023.\n\ncdm_data_type = Other\nVARIABLES:\ntime (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\nTemperature (degrees C)\nDate (unitless)\ntime_local (Time, unitless)\nSite (unitless)\nhour (unitless)\nyear (unitless)\nday (unitless)\nmonth (unitless)\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_905047_v1/index.htmlTable https://www.bco-dmo.org/dataset/905047 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_905047_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_905047_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_905047_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_920443_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_920443_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_920443_v1/ public [In-situ pump chemical data] - Chemical analyses of size-fractionated particle samples collected during the BIOS-SCOPE cruise AE1819 in the Sargasso Sea in July 2018 (Bermuda Institute of Ocean Sciences Simons Collaboration on Ocean Processes and Ecology) Included in this dataset are chemical analyses of size-fractionated particle samples collected during BIOS-SCOPE project cruises in the Sargasso Sea starting in 2018. Samples were collected using McLane WTS-LV in-situ pumps and analyzed for phytol concentration, bulk particulate organic carbon (POC), stable carbon isotope composition, and nitrogen and carbon isotope composition of amino acids.\n\ncdm_data_type = Other\nVARIABLES:\nSample (unitless)\nCruise (unitless)\nDate (unitless)\nLatitude (degrees_north)\nlongitude (degrees_east)\nsize_fraction_um (micrometers (um))\nsplit_type (unitless)\ndepth (Depth_m, m)\ntotal_phytol_from_chlorophyll_concentration_ng_L (nanograms per liter (ng/L))\nphytol_concentration_sd_ng_L (nanograms per liter (ng/L))\nd13C_phytol_corrected_value_per_mil (per mil)\nd13C_phytol_sd_per_mil (per mil)\nd13C_POC_per_mil (per mil)\nd13C_POC_sd_per_mil (per mil)\nPOC_concentration_ug_L (micrograms per liter (ug/L))\nd13C_THAA_per_mil (per mil)\nd13C_THAA_sd_per_mil (per mil)\nTP_from_d15N_AA (unitless)\nTP_sd (unitless)\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_920443_v1/index.htmlTable https://www.bco-dmo.org/dataset/920443 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_920443_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_920443_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_920443_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_925598_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_925598_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_925598_v1/ public [Incubation data for Mytilus californianus calcification] - Incubation data for Mytilus californianus calcification from January to April 2022 (OA decoupling project) (Invertebrate calcification and behavior in seawater of decoupled carbonate chemistry) Calcification is vital to marine organisms that produce calcium carbonate shells and skeletons. However, how calcification is impacted by ongoing environmental changes, including ocean acidification, remains incompletely understood due to complex relationships among the carbonate system variables hypothesized to drive calcification. \n\nHere, we experimentally decouple these drivers in an exploration of shell formation in adult marine mussels, Mytilus californianus. In contrast to models that focus on single parameters like calcium carbonate saturation state, our results implicate two independent factors, bicarbonate concentration and seawater pH, in governing calcification. While qualitatively similar to ideas embodied in the related substrate-inhibitor ratio (bicarbonate divided by hydrogen ion concentration), our data highlight that merging bicarbonate ion and hydrogen ion concentrations into a simple quotient obscures important features of calcification. Considering a dual-parameter framework improves mechanistic understanding of how calcifiers interact with complex and changing chemical conditions.\n\ncdm_data_type = Other\nVARIABLES:\nspecies (unitless)\nAphiaID (unitless)\nLSID (unitless)\nmodule (unitless)\ndate_local (unitless)\nstart_datetime_local (unitless)\nISO_Start_DateTime_UTC (unitless)\nduration (hours)\nsalinity (PSU)\ntemperature (degrees Celcius (c))\ncalcification (umol hr^-1 g^-0.71592)\ntissue_mass (grams (g))\nshell_mass (grams (g))\nwet_mass (grams (g))\n... (24 more variables)\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_925598_v1/index.htmlTable https://www.bco-dmo.org/dataset/925598 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_925598_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_925598_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_925598_v1
log in [Incubation Data] - Coral physiological and biological data collected during acute exposures in static incubation chambers in Hawaii from June 2023 to January 2025 (Collaborative Research: Reevaluating calcification response to changes in seawater chemistry by testing the Proton Flux Hypothesis and the Coral Metabolism Model) This dataset contains carbonate chemistry, physiological response, and incubation measurements from controlled static incubations of two Hawaiian coral species, Montipora capitata (branching and plating morphologies, urn:lsid:marinespecies.org:taxname:287697) and Pocillopora acuta (urn:lsid:marinespecies.org:taxname:759099). Corals were exposed to a series of experimental seawater chemistry treatments designed to independently manipulate proton concentration and carbonate ion availability through adjustments to total alkalinity and dissolved inorganic carbon. Treatments spanned ambient conditions as well as elevated and reduced total alkalinity, elevated and reduced pH, and combinations of altered pH and alkalinity. For each treatment, seawater parameters were measured, including temperature, salinity, dissolved oxygen, pH on the total scale, total alkalinity, bicarbonate, carbonate ion concentration, pCO2, dissolved inorganic carbon, and aragonite saturation state. Coral incubations were conducted under static conditions to quantify changes in carbonate chemistry associated with coral metabolic activity and to assess species- and morphology-specific calcification responses across distinct carbonate system states. This dataset supports the evaluation of the Proton Flux Hypothesis and Coral Metabolism Model by providing detailed carbonate chemistry conditions and coral responses across a spectrum of experimentally generated seawater states.\n\ncdm_data_type = Other\nVARIABLES:\ndate (unitless)\nspecies (unitless)\ntreatment (unitless)\ncondition (unitless)\ngenotype (unitless)\ntime_elapsed (Time, hours)\ntemp (degrees Celsius (degC))\ndo_mg_l (milligrams per liter (mg/L))\nsal (parts per thousand (ppt))\nph_nbs (NBS scale)\nph_mv (millivolts (mV))\nbwt (grams (g))\n... (7 more variables)\n BCO-DMO bcodmo_dataset_995172_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_1002493_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_1002493_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_1002493_v1/ public [Incubation experiment data from Chesapeake Bay] - Incubation timepoint measurements from sediment cores collected in Chesapeake Bay in July 2022 (Collaborative Research: Investigating the source and flux of dissolved organic carbon released from methane seeps to the deep-ocean) These data include incubation timepoint measurements of concentration and stable carbon isotope values of dissolved organic carbon (DOC), dissolved inorganic carbon (DIC), and particulate organic carbon (POC) from sediment cores collected at an estuary (Chesapeake Bay). Sediment porosity and dissolved sulfate and methane concentrations are also presented. These data were collected from July 2022 during cruise CB22 (R/V Carson). These data are used to assess the mechanism contributing to the production of methane-derived DOC across several environments. If this process occurs at a methane seep, mediated through anaerobic oxidation of methane, the process should occur in other sedimentary environments in which these electron acceptors are available. This produced DOC, which may contribute to benthic food webs or contribute to the apparent radiocarbon age of dissolved organic carbon.\n\ncdm_data_type = Other\nVARIABLES:\nRegion (unitless)\nCruise (unitless)\nlatitude (Latitude_ddeg, degrees_north)\nlongitude (Longitude_ddeg, degrees_east)\nSampling_Date (unitless)\nIncubation (unitless)\nZone (unitless)\nTreatment (unitless)\nMethod (unitless)\nTemperature (degrees Celsius (°C))\nSample_name (unitless)\nDays_elapsed (days)\nBag_porewater_mL (milliliters (mL))\niCH4_permille (per mille (‰))\niCO2_permille (per mille (‰))\nCH4_mM (millimolar (mM))\nCO2_mM (millimolar (mM))\nSO4_mM (millimolar (mM))\n... (7 more variables)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_1002493_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_1002493_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_1002493_v1/index.htmlTable https://osprey.bco-dmo.org/dataset/1002493 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_1002493_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_1002493_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_1002493_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_1002498_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_1002498_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_1002498_v1/ public [Incubation experiment data from Southern Hydrate Ridge and Astoria Canyon] - Incubation timepoint measurements from sediment cores collected at the Southern Hydrate Ridge and Astoria Canyon on R/V Atlantis cruises AT50-14 and AT50-29B in 2023 and 2024 (Collaborative Research: Investigating the source and flux of dissolved organic carbon released from methane seeps to the deep-ocean) These data include incubation timepoint measurements of concentration and stable carbon isotope values of dissolved organic carbon (DOC), dissolved inorganic carbon (DIC), and particulate organic carbon (POC) from sediment cores collected at a methane seep and associated reference site (Southern Hydrate Ridge) and a submarine canyon (Astoria Canyon). Sediment porosity and dissolved sulfate and methane concentrations are also presented. These data were collected from 2023-2024 and across two cruises: AT50-14 (R/V Atlantis, 2023) and AT50-29B (R/V Atlantis, 2024). These data are used to assess the mechanism contributing to the production of methane-derived DOC across several environments. If this process occurs at a methane seep mediated through anaerobic oxidation of methane, the process should occur in other sedimentary environments in which these electron acceptors are available. At methane seeps, this produced DOC which may contribute to benthic food webs or contribute to the apparent radiocarbon age of deep  ocean dissolved organic carbon.\n\ncdm_data_type = Other\nVARIABLES:\nRegion (units)\nCruise (unitless)\nlatitude (Latitude_ddeg, degrees_north)\nlongitude (Longitude_ddeg, degrees_east)\nSampling_Date (unitless)\nIncubation (unitless)\nClassification (unitless)\nZone (unitless)\nTreatment (unitless)\nTemperature (degrees Celsius (°C))\nSample_name (unitless)\nDays_elapsed (days)\nBag_porewater_mL (milliliters (mL))\niCH4_permille (per mille (‰))\niCO2_permille (per mille (‰))\nCH4_mM (millimolar (mM))\nCO2_mM (millimolar (mM))\n... (8 more variables)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_1002498_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_1002498_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_1002498_v1/index.htmlTable https://osprey.bco-dmo.org/dataset/1002498 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_1002498_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_1002498_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_1002498_v1
log in [Indian Ocean Sediment Traps] - Indian Ocean Sediment Trap Data collected from R/V Roger Revelle Cruise RR2201 in the Eastern Indian Ocean (Argo Basin) during February 2022 (BLOOFINZ-IO project) (Collaborative Research: Mesoscale variability in nitrogen sources and food-web dynamics supporting larval southern bluefin tuna in the eastern Indian Ocean) The dataset contains sediment trap data collected from the R/V Roger Revelle during cruise RR2201 in the Eastern Indian Ocean (Argo Basin) from February 2022. The data, part of the BLOOFINZ-IO project, includes measurements of particulate organic carbon, nitrogen flux, carbon and nitrogen isotopes, chlorophyll a, and phaeopigment flux. The sediment traps were deployed using VERTEX-style surface-tethered systems, with samples processed for isotope analysis and other biochemical analyses.\n\ncdm_data_type = Other\nVARIABLES:\nCruise (unitless)\nCycle (unitless)\ndepth (m)\nDate_Deployed (unitless)\nDate_Recovered (unitless)\nDuration (days)\nDeployment_Latitude (degrees_north)\nlongitude (Deployment_longitude, degrees_east)\nlatitude (Recovery_latitude, degrees_north)\nRecovery_Longitude (degrees_east)\nCorg (mg C m-2 d-1)\nsigma_Corg (mg C m-2 d-1)\nNorg (mg N m-2 d-1)\nsigma_Norg (mg N m-2 d-1)\nd13C (units)\nsigma_d13C (units)\nd15N (units)\nsigma_d15N (units)\nChl (mg Chl a m-2 d-1)\nsigma_Chl (mg Chl a m-2 d-1)\nPhaeo (mg Chl a equivalents m-2 d-1)\nsigma_Phaeo (m-2 d-1)\n BCO-DMO bcodmo_dataset_944902_v1
log in [Individual genetic assignments from hatchery samples and restored reefs] - Oyster genetic assignment data from an experimental oyster reef restoration in Ninigret Pond, Rhode Island (USA) in 2017-2020 (CAREER: Linking genetic diversity, population density, and disease prevalence in seagrass and oyster ecosystems) This dataset contains individual-level genetic cluster assignments for 619 eastern oysters (Crassostrea virginica, urn:lsid:marinespecies.org:taxname:140657) sampled as part of an experimental oyster reef restoration in Ninigret Pond, Rhode Island, USA. Oysters include 104 juvenile individuals from source hatchery-labeled samples collected prior to reef construction and 515 individuals sampled from 12 experimental restored reefs in fall 2018 and again in fall 2020. Juvenile oysters were sourced from four commercial hatcheries spanning a broad geographic range along the U.S. Atlantic coast (Maine, Massachusetts, New York, and Virginia). Each individual oyster was assigned to one of four genetic clusters identified using discriminant analysis of principal components (DAPC) and sparse non-negative matrix factorization (sNMF) applied to SNP genotype data. The dataset includes a primary genetic cluster assignment used in downstream analyses, as well as assignments generated from all combinations of the two analytical genetic assignment approaches and 12 SNP sets varying in filtering parameters (24 'assignment sets' in total). These additional assignments sets were included to assess both the consistency of genetic assignments as a whole and the robustness of downstream ecological inferences to certain upstream bioinformatic decisions (i.e., how we filtered the SNP data and generated individual genetic assignments).\n\ncdm_data_type = Other\nVARIABLES:\nind_id (unitless)\nsampling_group (unitless)\nyearcoll (unitless)\nreef (unitless)\nblock (unitless)\ngrower (unitless)\nhatcherysource_label (unitless)\ngrower_by_hatcherysource_label (unitless)\nlibrary (unitless)\nprimary_genetic_assignment (unitless)\ndapc_assigned_genetic_cluster_g90maf01_ldprunedrsq05 (unitless)\ndapc_assigned_genetic_cluster_g90maf01_g20f2020 (unitless)\n... (21 more variables)\n BCO-DMO bcodmo_dataset_1004242_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_941067_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_941067_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_941067_v1/ public [Infauna abundance and biomass] - In situ infauna abundance and biomass of experimental sediment chambers acquired in the shallow subtidal shore-accessible site in Bon Secour Bay, Mobile Bay, Alabama, USA between August 7-12, 2021 (CAREER: Mechanisms of bioturbation and ecosystem engineering by benthic infauna) This dataset is part of a field study examining the effect of diel oxygen cycling on faunal activity, and in turn sediment oxygen demand. The field experiment used in situ flow-through benthic chambers to measure oxygen consumption. The chambers were deployed and retrieved in three ~24 hour deployments in a shallow subtidal area of Bon Secour Bay in Mobile Bay, AL, in August 2021. This dataset contains the abundances of all macrofaunal taxa as well as the total biomass and the biomass of some major taxa found in each of the chambers. The Abunance data have not been normalized to meters squared. The biomass values have been normalized to meters squared from the values taken from the chambers, which occupy a smaller area.\n\ncdm_data_type = Other\nVARIABLES:\nSampling_Date (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\nSample_ID (unitless)\nJuvenileCrab (individuals per chamber)\nShrimp (individuals per chamber)\nAmphipoda (individuals per chamber)\nCorophiidae (individuals per chamber)\nAmpeliscidae (individuals per chamber)\nTanaidaceae (individuals per chamber)\nCapitellidae (individuals per chamber)\nNereididae (individuals per chamber)\nSpionidae (individuals per chamber)\nPhyllodocidae (individuals per chamber)\nOrbiniidae (individuals per chamber)\nTellinidae (individuals per chamber)\nMactridae (individuals per chamber)\nEchiura (individuals per chamber)\nMicrodesmidae (individuals per chamber)\nAbundance (individuals)\n... (9 more variables)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_941067_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_941067_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_941067_v1/index.htmlTable https://osprey.bco-dmo.org/dataset/941067 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_941067_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_941067_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_941067_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_934897_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_934897_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_934897_v1/ public [Infauna and sediment property data collected off the Alabama coast before and after Hurricane Sally (2020-2021)] - Infaunal community composition and sediment grain size distribution, porosity, and organic content of sediment cores collected in the Northern Gulf of Mexico off the Alabama (USA) coast during 2020 and 2021 before and after Hurricane Sally (CAREER: Mechanisms of bioturbation and ecosystem engineering by benthic infauna) This dataset consists of infaunal community composition and sediment grain size distribution, porosity, and organic content of sediment cores in addition to bottom water salinity, dissolved oxygen, and temperature collected from 9 sites at 5, 12 and 20 meters depth in the Northern Gulf of Mexico off the Alabama (USA) coast before and after Hurricane Sally, which occurred in 2020.\n\ncdm_data_type = Other\nVARIABLES:\nSite (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\nWaterDepth_m (meters (m))\nDate (unitless)\nTimeAfterSally_d (days)\nRep (unitless)\nActiniaria (indivduals per core)\nNemertea (indivduals per core)\nPlatyhelminthes (indivduals per core)\nAspidosiphonidae (indivduals per core)\nGolfingiidae (indivduals per core)\nThalassematidae (indivduals per core)\nAmpharetidae (indivduals per core)\nAcoetidae (indivduals per core)\nAmphinomidae (indivduals per core)\nCapitellidae (indivduals per core)\nCirratulidae (indivduals per core)\nCossuridae (indivduals per core)\nEulepethidae (indivduals per core)\nEunicidae (indivduals per core)\nFlabelligeridae (indivduals per core)\nGlyceridae (indivduals per core)\nGoniadidae (indivduals per core)\n... (115 more variables)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_934897_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_934897_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_934897_v1/index.htmlTable https://www.bco-dmo.org/dataset/934897 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_934897_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_934897_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_934897_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_963375_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_963375_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_963375_v1/ public [Input data and code (CovGE)] - Input data and code to test hypotheses between genetic and environmental effects on phenotypes (RCN: Evolution in Changing Seas) The purpose of this study was to apply a quantitative measure to phenotypic data that were collected by other studies to test hypotheses about natural prevalence and patterns of Covariance between genotypic and environmental effects on phenotypes (CovGE).\n\ncdm_data_type = Other\nVARIABLES:\nStudy_ID_phenotype (unitless)\nFirst_Author (unitless)\ngen_factor (unitless)\nnat_env_factor (unitless)\nexp_env_factor (unitless)\nphen_n (unitless)\nphen_data (unitless)\nphen_SD (unitless)\nphen_mean_SE (unitless)\nphen_mean_lowCI_095 (unitless)\nphen_mean_highCI_095 (unitless)\nSource (unitless)\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_963375_v1/index.htmlTable https://osprey.bco-dmo.org/dataset/963375 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_963375_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_963375_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_963375_v1
log in [Integrated Energy Density data of Marine and Freshwater Organisms] - Marine and Freshwater Energy Density Data Integrated and Organized by Taxonomy from Previous Research Sources (1961 through June 2024) Discovered by a Literature Review (Nutritional ecology of climate change: Impacts on Northwest Atlantic fishes) Energy is the currency of exchange within ecosystems which defines the strength and influence of interactions, particularly between predator and prey. The ability to estimate the productivity of an ecosystem is, therefore, dependent upon the estimation of consumer diet contents and their energetic quality. To estimate growth, reproduction, and, ultimately, survival of individuals, measures of prey quality for predators are essential both at the individual level and for scaling to ecosystem-wide fluxes and pools. Among measures of prey quality, energy density (kiloJoules per gram; kJ/g) is the most used in ecology. Considerable efforts have established estimates of energy densities for many aquatic taxa. However, a database of aquatic organism energetics constructed by integrating and organizing across multiple sources spawning marine and freshwater habitats across the globe is needed to add both depth (more samples to measure within-taxa variation) and breadth (more taxa). To generate a comprehensive energy density database of aquatic organisms, we performed a multifaceted review to find sources from the peer-reviewed and grey literature with a broad search on Web of Science, from citations of related literature, and a haphazard recommendation from experts. Estimates of energy density of whole organism live weights (kJ/g wet weight) were prioritized to better relate to diet and energetics studies. When energy density was only provided per gram dry weight, the dry weight and percentage water was used to calculate energy density per gram wet weight. Sub-organism (i.e. tissue specific) energy density estimates are included (e.g. muscle, liver, egg) when only these were reported. A total of 3810 records are included from 134 sources, covering 2016 unique taxa, of which 1771 (87.76%) are identified at the species level. Species or taxa-specific energy densities ranged from 0.015 to 17.949 kJ/g wet weight (WW) with a mean ± SD = 4.509 ± 1.94 kJ/g WW and median = 4.225 kJ/g WW. Among those phyla with more than three species (n phyla = 9), chordates (n taxa = 1283) had the highest average energy density (mean ± SD; 4.92 ± 1.90; 0.162 – 17.9 kJ/g WW) and ctenophores (n taxa = 4) had the lowest average (0.0988 ± 0.074; 0.03 to 0.205 kJ/g WW). Each record includes the organism taxonomy to the lowest resolution listed in the original source, energetic data available from the source including body composition and energy density data, number of replicates and methodology for measuring energetics information--primarily split between bomb calorimetry and proximate composition--as well as the source's author(s), year, and publication. Additional meta-data are included whenever possible based on details from the original source including the 1) environmental features: area, method, and timing of capture; 2) methodological features: storage method, storage duration, and tissue type measured; and 3) organismal features: weight, length, and sex; as well as any additional notes about the source. This comprehensive database integrates those data discoverable by our search and which met inclusion criteria identified above in a taxonomic and spatial organization framework to facilitate modeling trophic interactions, bioenergetics, growth, productivity, and energy fluxes through marine and freshwater ecosystems.\n\ncdm_data_type = Other\nVARIABLES:\nPhylum (unitless)\n... (41 more variables)\n BCO-DMO bcodmo_dataset_948253_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_986886_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_986886_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_986886_v1/ public [Integrative taxonomy of tectractinellid sponges] - Morphological and genetic data of tetractinellid sponges from Kāne'ohe Bay, Hawai'i based on specimens collected between 2016 and 2023 (Testing the most striking tropical marine biodiversity gradient on the planet: does it hold for sponges?) Here we integrate molecular phylogeny and systematics to distinguish introduced species from those that are potentially native or endemic. We focus on the order Tetractinellida and document the transoceanic dispersal of Geodia papyracea from the Caribbean to Hawai'i, likely via the fouling of ship hauls navigating through the Panama Canal. Our integrative approach allowed us to describe new species of Stelletta, Stelletta kaluhiwa sp. nov., Stelletta cypheri sp. nov., Stelletta camvela sp. nov., Stelletta hewetta sp. nov., Stelletta brighti sp. nov., and one new species of Stryphnus, Stryphnus jonesi sp. nov; all collected from the reef cryptofauna. Specimens were barcoded using 28S and COI molecular markers, providing insights into the phenotypic plasticity of sponges and the phylogenetic placement of these new species based on morphological characters. Using both molecular phylogeny and traditional taxonomy enhances the accuracy of species identification and classification, contributing to a broader understanding of sponge biodiversity within the Hawaiian archipelago.\n\ncdm_data_type = Other\nVARIABLES:\nSpecies (unitless)\nType (unitless)\nFMNH (unitless)\nBPBM_cat_no (unitless)\nField_code (unitless)\nCOI_Genbank_acc_no (unitless)\nGenbank_acc_no_28S (unitless)\nDate (unitless)\nlatitude (degrees_north)\nlongitude (Long, degrees_east)\nAnatrienes_rhabdome_LXW (micrometers)\nAnatrienes_cladome_diameter (micrometers)\nOrthotriaenes_Rhabdome_LXW (micrometers)\nOrthotriaenes_cladome_diameter (micrometers)\nPlagiotriaenes_Rhabdome_LXW (micrometers)\nPlagiotrienes_cladome_diameter (micrometers)\n... (13 more variables)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_986886_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_986886_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_986886_v1/index.htmlTable https://osprey.bco-dmo.org/dataset/986886 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_986886_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_986886_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_986886_v1
log in [Intertidal community: California and Baja California] - Intertidal community diversity surveys at 23 sites in California, USA and Baja California, Mexico across tidal elevations from 2022-2023 (Predicting impacts of coastal species redistribution in a changing climate) This dataset includes information on over 100 species found in the intertidal zone on a rocky shoreline during community surveys conducted at 23 sites along the coast of California and Baja California, Mexico in 2022 and 2023. Community survey data includes visual estimates of percent area covered by various species with corresponding season and tide height.\n\ncdm_data_type = Other\nVARIABLES:\nRegion (unitless)\nSite (unitless)\nlatitude (degrees_north)\nlongitude (Long, degrees_east)\nSurvey_Date (unitless)\nSeason (unitless)\nVert_Transect_Dist (meters (m))\nQuad_Dist (meters (m))\nTH_Transect_Top (meters (m))\nQuad_TH (meters (m))\nPct_Pool (percent (%))\nBare_Space (percent (%))\nOrganism_parameter (unitless)\nOrganism (unitless)\nCoverage (percent (%))\n BCO-DMO bcodmo_dataset_935622_v1
log in [Intertidal temperature data 2022-2023] - TidBiT logger temperature data for intertidal ocean temperatures in Northern and Central California between May 2022 and Dec 2023 (Evolutionary and ecological dynamics of a contemporary climate-driven range expansion) These data include TidBiT logger temperature readings collected in the rocky intertidal zone across five sites spanning the northern and central California coast between Summer 2022 and Fall 2023. TidBiT loggers were deployed in steel mesh enclosures bolted to the rocky substrate and programmed to sample on 30 minute cycles. To ensure we only recorded ocean temperatures, we filtered the dataset to only include readings that occurred within 1.5 hours of high tide. \n \nThese data were collected in conjunction with a manipulative field experiment to assess how the strength of competition varies across the range edge and range core for Lottia gigantea.\n\ncdm_data_type = Other\nVARIABLES:\nDatetime_logger_PT (unitless)\ntime (Datetime_logger_utc, seconds since 1970-01-01T00:00:00Z)\nTemp (degrees Celsius)\nDate (unitless)\nDatetime_hightide_1_PT (unitless)\nDatetime_hightide_2_PT (unitless)\nLogger (unitless)\nSite (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\n BCO-DMO bcodmo_dataset_1000482_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_922236_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_922236_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_922236_v1/ public [Invertebrate Data] - Invertebrate data from fish and seagrass surveys on clusters of artificial reefs at the Abaco Islands, Bahamas in 2021 and 2022 (Using novel ecosystem-scale experiments to quantify drivers of reef productivity in a heavily impacted coastal ecosystem) Invertebrate data from fish and seagrass surveys on clusters of artificial reefs at the Abaco Islands, Bahamas in May of 2022. Data are presented for site PN, which was constructed in May 2021 at the Bight of Old Robinson, Great Abaco. At the site three clusters of nine reefs were constructed. Each cluster was separated by at least 150 m and were constructed at ~3 m depth.\n\ncdm_data_type = Other\nVARIABLES:\nObserver (unitless)\nDate (unitless)\ntime_local (Time, unitless)\nAssembly_day (unitless)\nCluster (unitless)\ncluster_lat (degrees_north)\nlongitude (Cluster_lon, degrees_east)\nReef (unitless)\nSpecies (unitless)\nCount (unitless)\nLegal (unitless)\nNot_legal (unitless)\nNotes (unitless)\ntime (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_922236_v1/index.htmlTable https://www.bco-dmo.org/dataset/922236 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_922236_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_922236_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_922236_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_927682_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_927682_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_927682_v1/ public [Invertebrate Species Counts] - Counts of organisms recorded during emergent and rapid emergent surveys conducted in the subtidal zone of northern California, Sonoma and Mendocino counties, from 1999 to 2023 (Collaborative Research: The effects of marine heatwaves on reproduction, larval transport and recruitment in sea urchin metapopulations) The Kelp Forest Monitoring data record span surveys across 24 years from 1999 through 2023 at 20 locations on the Sonoma-Mendocino Coast, Northern California. Years without data, inclusive: 2002, 2020, 2021. These surveys are ongoing and are conducted by the California Department of Fish and Wildlife dive team with participation from dive program partners at UC Davis, UC Santa Cruz, Cal Poly Humboldt, Sonoma State, and other dive programs and volunteers. Not all sites were surveyed in all years. Surveys prior to 2000 were not conducted by the same teams or with the same methods except that all surveys were done using Scuba along 30 x 2 meter (m) transects randomly placed in the subtidal zone in rocky habitats dominated by bull kelp, Nereocystis luetkeana, forests. These randomly placed band transects surveys were stratified by depth (A=0-15, B=16-30, C=31-45, D=46-60 ft) as we know sea urchin and abalone populations differ by depth.\n\nData collected include the number of live, dying (in some years during the mass mortality events), and dead sea urchins (red-Mesocentrotus franciscanus and purple-Strongylocentrotus purpuratus), red abalone (Haliotis rufescens), pinto abalone (H. kamtschatkana), flat abalone (H. walallensis), as well as empty abalone shells (again in some years). Additional data collected (if Scuba bottom time and/or air allowed): red abalone size, numbers or presence of associated species such as sea stars and predators, algal group quantification, and presence of bull kelp, substrate type. Data on algae and associated species differed depending on the year and the focus of the studies in response to ecosystem conditions but all years quantified sea urchins and abalones.\n\nThese data provide a baseline of biological conditions in the kelp forest before, during and after the major marine heatwave of 2014-2016 in northern California. These data were used to manage the recreational red abalone fishery by the California Department of Fish and Wildlife from 2002 to the closure of the fishery in 2018. These data are from the two counties Sonoma and Mendocino County that had 95% of the bull kelp forests in northern California.\n\ncdm_data_type = Other\nVARIABLES:\nSurveyNum (unitless)\nDFW_short_code (unitless)\nSiteName (unitless)\n... (18 more variables)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_927682_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_927682_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_927682_v1/index.htmlTable https://www.bco-dmo.org/dataset/927682 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_927682_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_927682_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_927682_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_984699_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_984699_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_984699_v1/ public [Invertebrate stable isotopes from Alaskan seeps (May-June 2024)] - C and N stable isotope data for invertebrates collected by HOV Alvin during R/V Atlantis cruise AT50-24 at Sanak Seep Alaska from May 16 to June 5, 2024 (Collaborative Research: Redefining the footprint of deep ocean methane seepage for benthic ecosystems) This dataset provides C and N stable isotope data for invertebrates collected by HOV Alvin in May-June 2024 during R/V Atlantis cruise AT50-24 at methane seeps on the Aleutian margin off Alaska. There are also POM data for surface and near-bottom water samples collected by CTD. δ13C and δ15N measurements were made on 0.2-4 mg dry-weight samples combusted using an elemental analyzer interfaced to a continuous flow isotope ratio mass spectrometer at the Stable Isotope Facility at the University of California, Davis (SIF-UCD).\n\ncdm_data_type = Other\nVARIABLES:\nType (unitless)\nDate (unitless)\nAlvin_Dive (unitless)\nSite (unitless)\ndepth (m)\nlatitude (degrees_north)\nlongitude (degrees_east)\nNavigation_Comment (unitless)\nSample (unitless)\nSample_ID (unitless)\nHabitat (unitless)\nPhylum (unitless)\nTaxon_ID (unitless)\nAphiaID (unitless)\nAccepted_names (unitless)\nIncubation_treatment (unitless)\nd13C (‰ (per mil))\nd15N (‰ (per mil))\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_984699_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_984699_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_984699_v1/index.htmlTable https://osprey.bco-dmo.org/dataset/984699 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_984699_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_984699_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_984699_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_945708_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_945708_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_945708_v1/ public [Invertebrate stable isotopes from Southern California seeps (July 2023)] - Invertebrate stable isotopes from samples collected at methane seeps off Southern California with the HOV Alvin from July 16-28, 2023 during R/V Atlantis cruise AT50-12 (Collaborative Research: Redefining the footprint of deep ocean methane seepage for benthic ecosystems) This dataset provides C and N stable isotope data for invertebrates collected by HOV Alvin from July 16-28, 2023 at methane seeps in Southern California during R/V Atlantis cruise AT50-12. There are also POC data for one surface and one near bottom water sample collected by CTD. δ13C and δ15N measurements were made on 0.2-4 mg dry-weight samples combusted using an elemental analyzer interfaced to a continuous flow isotope ratio mass spectrometer at the Stable Isotope Facility at the University of California, Davis (SIF-UCD).\n\ncdm_data_type = Other\nVARIABLES:\nDate (unitless)\nAlvin_Dive (unitless)\nSite (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\nDepth (meters (m))\nSample_number (unitless)\nHabitat (unitless)\nSample_type (unitless)\nAnalysis_context (unitless)\nPhylum (unitless)\nTaxon_ID (unitless)\nIncubation (unitless)\nC13 (per mil (0/00))\nN15 (per mil (0/00))\nRemarks (unitless)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_945708_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_945708_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_945708_v1/index.htmlTable https://www.bco-dmo.org/dataset/945708 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_945708_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_945708_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_945708_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_994734_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_994734_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_994734_v1/ public [IODP385 16S, metagenomes and metatranscriptomes] - Raw amplicon, metagenomic and metatranscriptomic data from R/V JOIDES Resolution IODP-385 Guaymas Basin Tectonics and Biosphere expedition between September and November 2019 (Collaborative Research: Hydrothermal Fungi in the Guaymas Basin Hydrocarbon Ecosystem) International Ocean Discovery Program Expedition 385 (IODP385) drilled organic-rich sediments and intruded sills in the off-axis region and axial graben of the northern spreading segment of Guaymas Basin, Gulf of California. Guaymas Basin is characterized by high heat flow and magmatism in the form of sill intrusions into sediments, which extends tens of kilometers off axis. Sill intrusions provide transient heat sources that mobilize buried sedimentary carbon and drive hydrothermal circulation. The resulting thermal and geochemical gradients shape abundance, composition, and activity of the deep subsurface biosphere of the basin. \n\nAmong the aims of IODP385 was to examine the subsurface biosphere of Guaymas Basin and its responses and adaptations to hydrothermal conditions. Using high-throughput 16S ribosomal nucleic acid sequencing we examined linkages and feedbacks between mineral composition, temperature, geochemistry, and microbial populations. The metagenomic analyses of the hydrothermally heated, sediment layers of Guaymas Basin examined the distribution and activity patterns of bacteria and archaea along thermal, geochemical and cell count gradients. Analyses of gene expression of subsurface bacteria and archaea provided insights into their physiological adaptations to in situ subsurface conditions. \n\nAll available datasets can be found in the  the National Center for Biotechnology Information (NCBI) GenBank database under the Bioproject accession number PRJNA909197.\n\ncdm_data_type = Other\nVARIABLES:\nBioProject (unitless)\nSRA_Run_ID (unitless)\nBioSample (unitless)\nAssayType (unitless)\nAssay (unitless)\nAvgSpotLen (unitless)\nBases (unitless)\nBioSampleModel (unitless)\nBytes (unitless)\n... (27 more variables)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_994734_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_994734_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_994734_v1/index.htmlTable https://osprey.bco-dmo.org/dataset/994734 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_994734_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_994734_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_994734_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_942686_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_942686_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_942686_v1/ public [ISIIS Environmental Data] - Environmental sensor data from an underwater imaging system (ISIIS-3) collected during R/V Langseth cruise MGL2207 July 20-28 2022 and R/V Sally Ride cruise SR2317 August 10-20 2023 in the Northern California Current (Collaborative Research: Plankton size spectra and trophic links in a dynamic ocean) During July 20-28 2022 and August 10-20 2023 an underwater imager (In Situ Ichthyoplankton Imaging System 3, ISIIS-3) was deployed from the R/V Langseth and R/V Sally Ride, respectively. The ISIIS-3 deployments were carried out from these R/Vs in the northern California Current by a team affiliated with Oregon State University, the University of Oregon, and Portland State University.\n\nThe ISIIS-3 was equipped with two line scan cameras for collecting plankton imagery in addition to six  environmental sensors.\n\nThis dataset contains the processed and quality controlled merged environmental data from the ISIIS imager on this cruise, consisting of temperature, conductivity, pressure, depth, salinity, fluorescence, oxygen, pH, photosynthetically active radiation, and chlorophyll a. Latitude, longitude, date, time, imager horizontal/vertical speeds, and altitude are also included in the dataset. Data were collected on six cross-shelf transects ranging geographically from the border of California and Oregon to  southern Washington. Two transects, one following the Newport Hydrographic Line and the other near Gray's Harbor, Washington, were 70 nautical miles (~135 km) in length. The four others (near the Columbia River, Cape Meares, Heceta Bank, and the Rogue River) were 40 nautical miles (~73 km). ISIIS was towed continuously in an undulating motion (“tow-yos”) between 0-100m depth, or within 2-5m of the seafloor where the bottom depth was less than 100m. Data were streamed on to the ship in real time using a fiber optic oceanographic cable and written into millisecond time-stamped data files for each sensor. Sensor data files from ISIIS-3, along with latitude and longitude data from ship data streams, were merged using Python scripts into a final dataset based on the millisecond time stamps of the sensors and GPS streams.\n\ncdm_data_type = Other\nVARIABLES:\nDateTime (Time, unitless)\nCruise_ID (unitless)\ntime (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\nTemperature (degrees Celsius)\nConductivity (Siemens per meter (Siemens/m))\nPressure (decibars (dBar))\n... (25 more variables)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_942686_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_942686_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_942686_v1/index.htmlTable https://www.bco-dmo.org/dataset/942686 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_942686_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_942686_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_942686_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_954333_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_954333_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_954333_v1/ public [Isotopic niche space and microbiomes of Caribbean sponges] - Isotopic data from sponges collected in 2013 and 2014 from reefs in Honduras, Belize, Panama and the Florida Keys. (Collaborative Research: Investigations into microbially mediated ecological diversification in sponges) Marine sponges host diverse communities of microbial symbionts that expand the metabolic capabilities of their host, but the abundance and structure of these communities is highly variable across sponge species. Specificity in these interactions may fuel host niche partitioning on crowded coral reefs by allowing individual sponge species to exploit unique sources of carbon and nitrogen, but this hypothesis is yet to be tested. Given the presence of high sponge biomass and the coexistence of diverse sponge species, the Caribbean Sea provides a unique system in which to investigate this hypothesis. To test for ecological divergence among sympatric Caribbean sponges and investigate whether these trends are mediated by microbial symbionts, we measured stable isotope (δ13C and δ15N) ratios and characterized the microbial community structure of sponge species at sites within four regions spanning a 1700 km latitudinal gradient. Samples were collected in 2013 and 2014 from reefs in Honduras, Belize, Panama, and the Florida Keys. There was a low (median of 8.2 %) overlap in the isotopic niches of sympatric species; in addition, host identity accounted for over 75% of the dissimilarity in both δ13C and δ15N values and microbiome community structure among individual samples within a site. There was also a strong phylogenetic signal in both δ15N values and microbial community diversity across host phylogeny, as well as a correlation between microbial community structure and variation in δ13C and δ15N values across samples. Together, this evidence supports a hypothesis of strong evolutionary selection for ecological divergence across sponge lineages and suggests that this divergence is at least partially mediated by associations with microbial symbionts.\n\ncdm_data_type = Other\nVARIABLES:\nSpecies_name (unitless)\nRegion_Country (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\nMonth_and_year_of_collection (unitless)\nAve_depth_ft (feet)\nFreeman_Mean_Chla_Dry_wt (micrograms of chlorophyll a per gram of sponge tissue)\nHL_Chla (unitless)\nHMA_LMA (unitless)\n... (9 more variables)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_954333_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_954333_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_954333_v1/index.htmlTable https://osprey.bco-dmo.org/dataset/954333 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_954333_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_954333_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_954333_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_1005573_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_1005573_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_1005573_v1/ public [IUE of marine AOA under different temp and FE] - Iron use efficiency (IUE) of the model marine ammonia-oxidizing archaea (AOA), Nitrosopumilus maritimus, under controlled laboratory conditions across a range of temperatures and iron concentrations (Collaborative Research: The impact of ocean warming on bioactive trace metal requirements and use efficiencies of marine nitrifying microorganisms) This dataset quantifies iron use efficiency (IUE) of the model marine ammonia-oxidizing archaea, Nitrosopumilus maritimus, under controlled laboratory conditions across a range of temperatures (23, 27, and 32 degrees Celsius) and iron concentrations (iron-replete, 1250 nM; iron-limited, 250 nM). Measurements include carbon fixation rates derived from 14C-bicarbonate incorporation assays and cellular iron quotas determined by inductively coupled plasma mass spectrometry (ICP-MS), from which IUE was calculated. Experiments were conducted in batch cultures with biological replicates for each treatment to assess the interactive effects of temperature and iron limitation on AOA physiology.\n\ncdm_data_type = Other\nVARIABLES:\nCondition (unitless)\ntotal_iron_concentration (nanomole per liter (nM))\nTemperature (degrees Celsius (°C))\nPOC (micromole carbon per liter (μmol C L⁻¹))\nPOC_std (micromole carbon per liter (μmol C L⁻¹))\nFe (nanomole per liter (nM))\nFe_std (nanomole per liter (nM))\nFe_C_ratio (micromole per mole (μmol mol⁻¹))\nFe_C_ratio_std (micromole per mole (μmol mol⁻¹))\nCarbon_fixation (micromole carbon per liter per day (μmol C L⁻¹ d⁻¹))\nCarbon_fixation_std (micromole carbon per liter per day (μmol C L⁻¹ d⁻¹))\niron_use_efficiency (micromole carbon per hour per micromole iron (μmol C h⁻¹ μmol Fe⁻¹))\niron_use_efficiency_std (micromole carbon per hour per micromole iron (μmol C h⁻¹ μmol Fe⁻¹))\nReplicates (count)\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_1005573_v1/index.htmlTable https://osprey.bco-dmo.org/dataset/1005573 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_1005573_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_1005573_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_1005573_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_968692_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_968692_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_968692_v1/ public [July 2017 Flow Cytometry] -  (Dimensions: Collaborative Research: Genetic, functional and phylogenetic diversity determines marine phytoplankton community responses to changing temperature and nutrients) These data include measurements of phytoplankton physiology and composition from a controlled multi-stressor incubation experiment conducted in July 2017. Whole phytoplankton communities were collected from the Narragansett Bay Long-Term Plankton Time Series site and incubated at the in-situ temperature (22 degrees Celsius) and at deviations from that temperature (±4 degrees Celsius) with both macronutrient amendments (N, P, Si addition) and unamended controls. Phytoplankton growth, abundance, size structure, and elemental composition, as well as microzooplankton grazing rates were measured throughout the incubations. These data improve our understanding of the phytoplankton community response to short-term changes in temperature or nutrients, providing valuable insight into the drivers of marine ecosystems.\n\ncdm_data_type = Other\nVARIABLES:\ntime_d (days)\ntemp_C (degrees Celsius)\nnutr (unitless)\nbin (unitless)\nlimit (FSC or SSC)\nfsc_per (percent)\nssc_per (percent)\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_968692_v1/index.htmlTable https://osprey.bco-dmo.org/dataset/968692 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_968692_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_968692_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_968692_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_966570_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_966570_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_966570_v1/ public [July 2017 Incubation Experiment] - Phytoplankton physiology and composition under temperature-nutrient multi-stressor incubation from July 2017 in Narragansett Bay, RI (Dimensions: Collaborative Research: Genetic, functional and phylogenetic diversity determines marine phytoplankton community responses to changing temperature and nutrients) These data include measurements of phytoplankton physiology and composition from a controlled multi-stressor incubation experiment conducted in July 2017. Whole phytoplankton communities were collected from the Narragansett Bay Long-Term Plankton Time Series site and incubated at the in-situ temperature (22 degrees Celsius) and at deviations from that temperature (±4 degrees Celsius) with both macronutrient amendments (N, P, Si addition) and unamended controls. Phytoplankton growth, abundance, size structure, and elemental composition, as well as microzooplankton grazing rates were measured throughout the incubations. These data improve our understanding of the phytoplankton community response to short-term changes in temperature or nutrients, providing valuable insight into the drivers of marine ecosystems.\n\ncdm_data_type = Other\nVARIABLES:\ntime_d (days)\ntemp_C (degrees Celsius)\nnutr (unitless)\ngr_d (per day)\ngr_d_sd (per day)\ngz_d (per day)\ngz_d_sd (per day)\nchl_ugl (micrograms per liter (ug/L))\nchl_ugl_sd (micrograms per liter (ug/L))\nchl_20um_per (percent)\nchl_5_20um_per (percent)\nchl_5um_per (percent)\npon_uM (micromolar (uM))\npon_uM_sd (micromolar (uM))\npoc_uM (micromolar (uM))\npoc_uM_sd (micromolar (uM))\nbsi_uM (micromolar (uM))\nbsi_uM_sd (micromolar (uM))\nc_n (unitless; mol:mol)\n... (11 more variables)\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_966570_v1/index.htmlTable https://osprey.bco-dmo.org/dataset/966570 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_966570_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_966570_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_966570_v1
log in [June 2019 Slover cruise data] - Adenosine triphosphate and microbial biomass measurements from the Chesapeake Bay, sampled aboard RV Fay Slover on June 18, 2019 (Adenosine triphosphate as a master variable for biomass in the oceanographic context) This dataset contains values from instruments and Niskin bottle samples from a research expedition on the RV Slover on June 18, 2019. Four stations were sampled with five bottle samples each from the coastal ocean to tributaries of the Chesapeake Bay. The variables are latitude, longitude, station number, depth, sigma-t, beam attenuation, relative chlorophyll fluorescence, particulate ATP, total ATP, particulate organic nitrogen, and particulate organic carbon.\n\ncdm_data_type = Other\nVARIABLES:\nsampling_date (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\nstation (unitless)\nstation_number_for_publication (unitless)\ndepth (m)\nsigmat (unitless)\nbeamtrans (percentage (%))\nchla (relative fluorescence units)\nATPp (nanomolar (nM))\nATPtot (unitless)\nav_N_ug_L (microgram/liter)\nav_C_ug_L (microgram/liter)\nbeamc_1 (meter-1)\nbeam_BL (meter-1)\nbeamc_2 (meter-1)\n BCO-DMO bcodmo_dataset_939509_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_965079_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_965079_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_965079_v1/ public [Juvenile Black Sea Bass Laboratory Experiment (2022-2023)] -  (Collaborative research: Understanding the effects of acidification and hypoxia within and across generations in a coastal marine fish) The northern stock of Black sea bass (BSB, Centropristis striata) has greatly expanded over the past decade, potentially due to warming Northwest Atlantic shelf waters affecting overwintering especially in juveniles. To gather better empirical data we quantified winter growth and lipid accumulation in BSB juveniles under a current ambient (2022/2023) seasonal temperature profile for eastern Long Island Sound, USA. Over the course of this study, winter mortality was low (< 16%) and average specific growth rate (SGR) followed seasonal trends (Fall → Winter → Spring) decreasing from 0.15 millimeters per day (mm d-1) (0.97 % wW d-1) to 0.01 mm d-1 (-0.03 % wW d-1), before rising to 0.03 mm d-1 (0.11 %wW d-1).\n\ncdm_data_type = Other\nVARIABLES:\nCollection_Location (unitless)\nlongitude (Longitutde, degrees_east)\nlatitude (degrees_north)\nSpecies (unitless)\nCollection_Date (unitless)\nSample_Date (unitless)\nTime_Point (unitless)\nMonth (unitless)\nTank (unitless)\nBSB_ID (unitless)\nMean_Temp (degrees Celsius)\nSD_Temp (degrees Celsius)\nDays (number of days)\nS_or_M (unitless)\nDays_Alive (number of days)\nTL_ini (degrees Celsius)\nTL_final (millimeters (mm))\nwW_ini (grams (g))\nwW_final (grams (g))\nestdW_ini (grams (g))\n... (16 more variables)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_965079_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_965079_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_965079_v1/index.htmlTable https://osprey.bco-dmo.org/dataset/965079 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_965079_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_965079_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_965079_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_897895_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_897895_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_897895_v1/ public [Juvenile Black sea bass winter growth and lipid accumulation under varying food and temperature conditions - Experiment 1] - Winter growth and lipid accumulation in juvenile Black sea bass exposed to varying food and temperature conditions during lab experiments conducted from September 2021 to April 2022 at UConn Avery Point (Collaborative research: Understanding the effects of acidification and hypoxia within and across generations in a coastal marine fish) The northern stock of Black sea bass (BSB, Centropristis striata) has greatly expanded over the past decade, potentially due to warming Northwest Atlantic shelf waters affecting overwintering especially in juveniles. To gather better empirical data we quantified winter growth and lipid accumulation in BSB juveniles from Long Island Sound using two complementing experiments. The data from Experiment 1 are presented here.\n\nExperiment 1 measured individual length growth (GR), weight-specific growth (SGR), growth efficiency, and lipid content at constant food and three static temperatures: 6°, 12°, and 19° Celsius (C). Average GR (SGR) decreased from 0.24 millimeters per day (mm d-1) at 19°C (0.89% d-1) to 0.15 mm d-1 at 12°C (0.54% d-1) to 0.04 mm d-1 at 6°C (0.17% d-1). Even at the coldest temperature, most juveniles sustained positive GRs and SGRs; hence, the species' true thermal growth minimum may be below 6°C. However, lipid accumulation was greatest at 12°C, which is close to what overwintering juveniles likely encounter offshore.\n\nThe data from Experiment 2 are presented in a related dataset (https://www.bco-dmo.org/dataset/898012). In both experiments, juveniles disproportionally accumulated lipid over lean mass, with lipid proportions tripling in Exp2 from 4% at 65 mm to 12% at 120 mm.\n\ncdm_data_type = Other\nVARIABLES:\nCollection_site (unitless)\nlongitude (degrees_east)\nlatitude (degrees_north)\nCollection_date (unitless)\nSample_date (unitless)\nSpecies (unitless)\nBSB_ID (unitless)\nGroup (unitless)\nTemp (degree Celsius)\nDays_W (number of days)\n... (21 more variables)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_897895_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_897895_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_897895_v1/index.htmlTable https://www.bco-dmo.org/dataset/897895 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_897895_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_897895_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_897895_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_907463_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_907463_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_907463_v1/ public [Karlodinium veneficum cellular carbon and nitrogen data] - Cellular carbon (C) and nitrogen (N) data of the Karlodinium veneficum growth experiment conducted in the Horn Point Laboratory between June 2021- January 2022. (Ecology and Oceanography of Harmful Algal Blooms) Using a multifactorial design, we studied the interactive effects of temperature (15, 20, 25, 28 and 30 0C), salinity (5, 10, 15, 20 and 30) and light (low-100 and high-300 μmol photons m−2 s−1) on growth, thermal niche properties and cellular carbon (C) and nitrogen (N) of the toxic dinoflagellate, Karlodinium veneficum, originated from the Chesapeake Bay. Here we report the daily growth data measured as raw fluorescence at each experimental combination  in quadruplicates and the C and N cell quota data measured in the final samples for each experimental combination in duplicates.\n\ncdm_data_type = Other\nVARIABLES:\nsample_no (unitless)\ntreatment (unitless)\nfiltered_volume (milliliters (mL))\nCell_density (cells per mL (cells/mL))\nN_percent (percent (%))\nC_percent (percent (%))\nN_mg (milligrams (mg))\nC_mg (milligrams (mg))\nCarbon_blank_corrected (milligrams (mg))\nC_to_N_mass (unitless)\nC_umol (micromoles (umol))\nN_umol (micromoles (umol))\nC_to_N_atomic (unitless)\nC_per_cell (picograms of Carbon per cell (pg/cell))\nN_per_cell (picograms of Nitrogen per cell (pg/cell))\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_907463_v1/index.htmlTable https://www.bco-dmo.org/dataset/907463 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_907463_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_907463_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_907463_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_907393_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_907393_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_907393_v1/ public [Karlodinium veneficum growth data] - Daily growth data of the Karlodinium veneficum growth experiment conducted in the Horn Point Laboratory between June 2021- January 2022. (Ecology and Oceanography of Harmful Algal Blooms) Using a multifactorial design, we studied the interactive effects of temperature (15, 20, 25, 28 and 30 0C), salinity (5, 10, 15, 20 and 30) and light (low-100 and high-300 μmol photons m−2 s−1) on growth, thermal niche properties and cellular carbon (C) and nitrogen (N) of the toxic dinoflagellate, Karlodinium veneficum, originated from the Chesapeake Bay. Here we report the daily growth data measured as raw fluorescence at each experimental combination  in quadruplicates and the C and N cell quota data measured in the final samples for each experimental combination in duplicates.\n\ncdm_data_type = Other\nVARIABLES:\nLight (μmol photons m−2s−1)\nSalinity (unitless)\nTemperature (degrees Celsius (°C))\nDate (unitless)\nReplicate (unitless)\nFluoresence (unitless)\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_907393_v1/index.htmlTable https://www.bco-dmo.org/dataset/907393 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_907393_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_907393_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_907393_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_958359_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_958359_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_958359_v1/ public [Kelletia kelletii Pooled RADseq] - Restriction site-associated DNA sequence metadata of Kelletia kelletii collected in California, USA and Baja, Mexico in 2015 to 2017 (Collaborative Research: RUI: Combined spatial and temporal analyses of population connectivity during a northern range expansion) Climate-driven warming and changes in major ocean currents enable poleward transport and range expansions of many marine species. Here, we report the population genetic structure for the gastropod Kelletia kelletii, a commercial fisheries species and subtidal predator with top-down food web effects, whose populations have recently undergone climate-driven northward range expansion. \n\nThis dataset includes sample id, collection site and year, tissue type, length, and extraction information for samples sequenced. We genotyped 598 adults from 13 locations across the species' historical and expanded range (∼800 km) using reduced representation genomic sequencing (RAD-seq). Analyses of 40,747 SNPs show evidence for long-distance larval dispersal of K. kelletii larvae from a central historical range site (Point Loma, CA) hundreds of km into the expanded northern range (Big Creek, CA), which seems most likely to result from transport during an El Niño Southern Oscillation (ENSO) event rather than consistent on-going gene flow. Furthermore, despite smaller geographic distances among some sampled expanded-range populations, their genetic divergence exceeds that among the historical range sampled populations, suggesting multiple origins of the expanded-range populations. Given the frequency and magnitude of ENSO events are predicted to increase with climate change, understanding the factors driving changes in population connectivity is crucial for establishing effective management strategies to ensure the persistence of this and other economically and ecologically important species.\n\ncdm_data_type = Other\nVARIABLES:\nCLNo (unitless)\nCapLabel (unitless)\nSiteDescription (unitless)\nSiteCode (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\nSiteCodeLetter_cap (unitless)\nWhelk_ID (unitless)\nTissueType (unitless)\n... (9 more variables)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_958359_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_958359_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_958359_v1/index.htmlTable https://osprey.bco-dmo.org/dataset/958359 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_958359_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_958359_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_958359_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_955710_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_955710_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_955710_v1/ public [Kelletia kelletii size-frequency population survey data at 36 sites in 2015-17] - Kelletia kelletii size-frequency population survey data collected by scientific SCUBA divers at 36 kelp forest habitat sites across the species’ biogeographic range in 2015, 2016 and 2017 (Collaborative Research: RUI: Combined spatial and temporal analyses of population connectivity during a northern range expansion) Sizes of Kellet's whelk (Kelletia kelletii) individuals in populations in the wild were obtained from subtidal benthic surveys conducted by scientific SCUBA divers at kelp forest habitat sites across the species' biogeographic range and over multiple years. The survey data was collected in 2015, 2016 and 2017 during summer months from 36 benthic kelp forest sites, from Monterey Bay, California, USA to Isla Asuncion, Baja California Sur, Mexico.\n\ncdm_data_type = Other\nVARIABLES:\nSiteNumber (unitless)\nIslandCode (unitless)\nIslandName (unitless)\nSiteCode (unitless)\nSiteName (unitless)\nH_E (unitless)\nx2017_1MPA_0Fished (unitless)\nMex0_US1 (unitless)\nNCI1_noNCI0 (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\nSurveyYear (unitless)\nSurveyDate (unitless)\nTransectNo (unitless)\nSize_mm (millimeter (mm))\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_955710_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_955710_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_955710_v1/index.htmlTable https://osprey.bco-dmo.org/dataset/955710 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_955710_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_955710_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_955710_v1
log in [Kelletia kelletii: DNA and RNA sequence] - Full genome and transcriptome sequence assembly of the non-model organism Kellet’s whelk, Kelletia kelletii (Collaborative Research: RUI: Combined spatial and temporal analyses of population connectivity during a northern range expansion) Understanding the genomic characteristics of non-model organisms can bridge research gaps between ecology and evolution. However, the lack of a reference genome and transcriptome for these species makes their study challenging. Here, we complete the first full genome and transcriptome sequence assembly of the non-model organism Kellet's whelk, Kelletia kelletii, a marine gastropod exhibiting a poleward range expansion coincident with climate change. We used a combination of Oxford Nanopore Technologies, PacBio, and Illumina sequencing platforms and integrated a set of bioinformatic pipelines to create the most complete and contiguous genome documented among the Buccinoidea superfamily to date. Genome validation revealed relatively high completeness with low missing metazoan Benchmarking Universal Single-Copy Orthologs (BUSCO) and an average coverage of ∼70x for all contigs. Genome annotation identified a large number of protein-coding genes similar to some other closely related species, suggesting the presence of a complex genome structure. Transcriptome assembly and analysis of individuals during their period of peak embryonic development revealed highly expressed genes associated with specific Gene Ontology (GO) terms and metabolic pathways, most notably lipid, carbohydrate, glycan, and phospholipid metabolism. We also identified numerous heat shock proteins (HSPs) in the transcriptome and genome that may be related to coping with thermal stress during the sessile life history stage. A robust reference genome and transcriptome for the non-model organism K. kelletii provide resources to enhance our understanding of its ecology and evolution and potential mechanisms of range expansion for marine species facing environmental changes.\n\ncdm_data_type = Other\nVARIABLES:\nRun (unitless)\nAssay_Type (unitless)\nAvgSpotLen (unitless)\nBases (unitless)\nBioProject (unitless)\nBioSample (unitless)\nBioSampleModel (unitless)\nBytes (unitless)\nCenter_Name (unitless)\n... (29 more variables)\n BCO-DMO bcodmo_dataset_945292_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_942729_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_942729_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_942729_v1/ public [Kelp Wet Weights Pycnopodia Cages] -  (CAREER: Energy fluxes and community stability in a dynamic, high-latitude kelp ecosystem) While the recently decimated predatory sea star, Pycnopodia helianthoides, may support kelp forests by consuming herbivorous sea urchins, less is known about their non-consumptive effects. We conducted a field experiment in three replicate sea urchin barrens in Sitka Sound, Alaska in February of 2023, where we deployed pre-weighed Macrocystis pyrifera blades at discrete distances on four metre radial cables from caged adult P. helianthoides and control cages and reweighed after 24 hours. Our results suggest the chemical cue of P. helianthoides elicits a localised, species-specific landscape of fear that suppresses grazing, and that the non-consumptive effects of P. helianthoides on sea urchin behaviour may be important for kelp restoration.\n\ncdm_data_type = Other\nVARIABLES:\nRayID (unitless)\nSite (unitless)\nlatitude (degrees_north)\nlongitude (Long, degrees_east)\nTreatment (unitless)\nRepID (unitless)\nTreatRep (unitless)\nDate (unitless)\nTimeElapsed_hr (hours)\nRay (unitless)\nTrack (unitless)\nColor (unitless)\nDist_m (meters (m))\nKelpStartWt_g (grams (g))\nAttachedKelpEndWt_g (grams (g))\nDriftKelpEndWt_g (grams (g))\nTotal_KelpEndWt_g (grams (g))\nKelpChgWt_g (grams (g))\nKelpGrazed_g (grams (g))\nPercentKelpGrazed (unitless)\nFlags (unitless)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_942729_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_942729_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_942729_v1/index.htmlTable https://osprey.bco-dmo.org/dataset/942729 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_942729_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_942729_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_942729_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_1003412_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_1003412_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_1003412_v1/ public [Kāne'ohe Bay SF₆ and Rhodamine WT data] - Sulfur hexafluoride and rhodamine WT from a tracer release experiment in August 2022 in the Kāne'ohe Bay (Collaborative Research: Influence of wind and bottom generated turbulence on air-sea gas exchange in shallow water environments) A tracer release experiment using SF₆ and Rhodamine WT was conducted between 15 and 19 August 2022 in the Kāne'ohe Bay, Hawaii, USA. SF₆ concentrations were measured using a gas chromatograph equipped with an electron capture detector (GC-ECD) connected with a headspace system. The concentrations of Rhodamine WT were measured with a YSI EXO1 sonde with a Rhodamine sensor.\n\ncdm_data_type = Other\nVARIABLES:\ntime (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\nSF6_fmol_L (femtomoles per liter (fmol/L))\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_1003412_v1/index.htmlTable https://osprey.bco-dmo.org/dataset/1003412 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_1003412_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_1003412_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_1003412_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_985611_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_985611_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_985611_v1/ public [Kāneʻohe Bay halos - fish surveys] - Fish community surveys at artificial reefs in Kāneʻohe Bay, Oʻahu conducted in 2022 and 2023 as part of a reef halo dynamics study (CAREER: Decoding seascape-scale vegetation patterns on coral reefs to understand ecosystem health: Integrating research and education from organismal to planetary scales) The goal of this dataset was to survey the reef fish communities at three artificial reefs constructed in Kāneʻohe Bay, Oʻahu, Hawaiʻi from August 2022-December 2023. Fish community surveys were conducted monthly. Surveys were conducted by the same observer each time who would sit ~3m away from the reef to minimize disturbance, and record all fish seen within 1m of the reef for three minutes. After that time, the observer would move to the reef and attempt for another two minutes to record any fish that may not have been initially visible. This was repeated at each of the three artificial reefs.\n\ncdm_data_type = Other\nVARIABLES:\nDate_local (unitless)\nMonth_local (unitless)\nYear_local (unitless)\nTime_local (unitless)\nTimezone_local (unitless)\nTide (unitless)\nSite (unitless)\nScientific_Name (unitless)\nCommon_Name (unitless)\nFamily (unitless)\nSize_cm (centimeters (cm))\nNumber (count per individual)\nlatitude (degrees_north)\nlongitude (degrees_east)\ntime (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_985611_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_985611_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_985611_v1/index.htmlTable https://osprey.bco-dmo.org/dataset/985611 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_985611_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_985611_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_985611_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_987232_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_987232_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_987232_v1/ public [Kāneʻohe Bay halos - nutrients] - Water nutrients measured at artificial reefs in Kāneʻohe Bay, Oʻahu in 2022 and 2023 as part of a reef halo dynamics study (CAREER: Decoding seascape-scale vegetation patterns on coral reefs to understand ecosystem health: Integrating research and education from organismal to planetary scales) The goal of this dataset is to measure water nutrients at three artificial reefs constructed in Kāneʻohe Bay, Oʻahu, Hawaiʻi, from August 2022-December 2023. Water samples were taken monthly. One water sample was taken per artificial reef.  Water samples were analyzed by the University of Hawaiʻi at Mānoa SOEST Laboratory for Analytical Biogeochemistry. They were analyzed for: Total Nitrogen, Total Phosphorous, Phosphate, Silicate, Nitrate + Nirite, Ammonia, and Chlorophyll.\n\ncdm_data_type = Other\nVARIABLES:\nMonth (unitless)\nYear (unitless)\nDate (unitless)\nReef_Number (unitless)\nTotal_N (micromoles per liter (umol/L))\nTotal_P (micromoles per liter (umol/L))\nPhosphate (micromoles per liter (umol/L))\nSilicate (micromoles per liter (umol/L))\nNO3_plus_NO2 (micromoles per liter (umol/L))\nAmmonia (micromoles per liter (umol/L))\nChlorophyll (micromoles per liter (umol/L))\nlatitude (degrees_north)\nlongitude (degrees_east)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_987232_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_987232_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_987232_v1/index.htmlTable https://osprey.bco-dmo.org/dataset/987232 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_987232_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_987232_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_987232_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_987237_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_987237_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_987237_v1/ public [Kāneʻohe Bay halos - temperature surveys] - Temperature measured at artificial reefs in Kāneʻohe Bay, Oʻahu in 2022 and 2023 as part of a reef halo dynamics study (CAREER: Decoding seascape-scale vegetation patterns on coral reefs to understand ecosystem health: Integrating research and education from organismal to planetary scales) The goal of this dataset was to survey temperature at three artificial reefs constructed in Kāneʻohe Bay, Oʻahu, Hawaiʻi, from September 2022-December 2023. Sea surface temperature was recorded once every six hours for the duration of the study period using HOBO Pendant Temperature Loggers attached to the central cinder block at each artificial reef.\n\ncdm_data_type = Other\nVARIABLES:\nMonth (unitless)\nYear (unitless)\nDate (unitless)\nTemp_S1 (degrees Fahrenheit)\nIntensity_S1 (lux)\nTemp_S2 (degrees Fahrenheit)\nIntensity_S2 (lux)\nTemp_S3 (degrees Fahrenheit)\nIntensity_S3 (lux)\nlatitude (degrees_north)\nlongitude (degrees_east)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_987237_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_987237_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_987237_v1/index.htmlTable https://osprey.bco-dmo.org/dataset/987237 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_987237_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_987237_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_987237_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_987227_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_987227_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_987227_v1/ public [Kāneʻohe Bay halos - vegetation surveys] - Vegetation surveys at artificial reefs in Kāneʻohe Bay, Oʻahu conducted in 2022 and 2023 as part of a reef halo dynamics study (CAREER: Decoding seascape-scale vegetation patterns on coral reefs to understand ecosystem health: Integrating research and education from organismal to planetary scales) The goal of this dataset was to quantify substrate cover (vegetation or sand) of the benthos surrounding artificial reefs in Kāneʻohe Bay, Oʻahu, Hawaiʻi from August 2022-2023. These surveys were done monthly. We recorded three 5-meter-long video transects, spaced evenly around each artificial reef, starting from each of the three top-layer cinder blocks of the artificial reef, positioned perpendicularly to the cinder block and going outwards into the seagrass meadow. On each video transect, photos were taken continuously starting at the artificial reef. Each photo was imported into ImageJ, where the scale was set based on a 10 cm measure on the transect, and then a virtual 20x20 cm quadrat was laid directly on the right side of the transect. Virtual quadrats were laid consecutively every 20 cm (e.g., a quadrat from each of 0-20 cm, 20-40 cm, 40-60 cm, etc. Then, 20 random points were generated inside each distance bin and classified as sand or vegetation.\n\ncdm_data_type = Other\nVARIABLES:\nImageName (unitless)\nDate (unitless)\nMonth (unitless)\nYear (unitless)\nDay (unitless)\nReef (unitless)\nTransect (unitless)\nDistanceTransect (unitless)\nBinNumber (unitless)\nNumberAlgae (count)\nNumberSand (count)\nQuadratSize (unitless)\nNotes (unitless)\nDominantVegetation (unitless)\nAnalyzer (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_987227_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_987227_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_987227_v1/index.htmlTable https://osprey.bco-dmo.org/dataset/987227 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_987227_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_987227_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_987227_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_930084_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_930084_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_930084_v1/ public [Kāneʻohe Bay Time-series - microbial community] - Flow cytometry, 16S rRNA gene amplicons, chlorophyll a, and surface seawater measurements  taken between August 2017 to June 2019 Kāneʻohe Bay, Oʻahu, Hawaiʻi (Population genomics and ecotypic divergence in the most dominant lineage of marine bacteria) These data include temperature, pH, salinity, chlorophyll a concentrations, cellular abundances of Prochlorococcus, Synechococcus, photosynthetic picoeukaryotes, and heterotrophic bacteria, and 16S ribosomal RNA gene amplicon libraries from 200 surface seawater samples collected as part of the Kāneʻohe Bay Time-series (KByT). Near-monthly sampling of surface seawater was conducted between August 2017 to June 2019 at 10 sites within coastal waters of Kāneʻohe Bay, Oʻahu, Hawaiʻi and in the adjacent offshore. Instruments used were a YSI 6,600 sonde, a Turner 10AU fluorometer, an EPICS ALTRA flow cytometer, and an Illumina MiSeq v2 platform.\n\nThese data characterize the partitioning of microbial communities across sharp physiochemical gradients in surface seawaters connecting nearshore and offshore waters in the tropical Pacific. This study provides evidence for the ecological differentiation of SAR11 marine bacteria across nearshore to offshore waters in the tropical Pacific and further increases our understanding of how SAR11 genetic diversity partitions into distinct ecological units. Data were collected by Sarah J. Tucker, Kelle C. Freel, Elizabeth A. Monaghan, Clarisse E. S. Sullivan, Oscar Ramfelt, Yoshimi M. Rii, and Michael S. Rappé.\n\ncdm_data_type = Other\nVARIABLES:\nSample_ID (unitless)\ncollection_date (unitless)\ndepth (m)\nenv_broad_scale (unitless)\nenv_local_scale (unitless)\nenv_medium (unitless)\ngeo_loc_name (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\nSite_name (unitless)\nchlorophyll_a_ug_per_L (micrograms per Liter)\nph (no unit)\nsalinity (ppt)\n... (21 more variables)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_930084_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_930084_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_930084_v1/index.htmlTable https://www.bco-dmo.org/dataset/930084 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_930084_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_930084_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_930084_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_930163_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_930163_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_930163_v1/ public [Kāneʻohe Bay Time-series - phytoplankton and biogeochemistry] - Biological oceanographic measurements, 16S rRNA gene amplicons and metagenomes from surface seawater taken from August 2017 to June 2021 at sites within and adjacent to Kāneʻohe Bay, Oʻahu, Hawaiʻi (Population genomics and ecotypic divergence in the most dominant lineage of marine bacteria) These data include temperature, pH, salinity, chlorophyll a concentrations, cellular abundances of Prochlorococcus, Synechococcus, photosynthetic picoeukaryotes, and heterotrophic bacteria,16S ribosomal RNA gene amplicon libraries, metagenomes, inorganic nutrient concentrations, and photosynthetic pigment measurements via high performance liquid chromatography from surface seawater samples collected as part of the Kāneʻohe Bay Time-series (KByT). This dataset reflects near-monthly sampling of surface seawater that was conducted between between August 2017 and June 2021 at 10-12 sites within and adjacent to Kāneʻohe Bay, Oʻahu, Hawaiʻi. Instruments used were a YSI 6,600 sonde, a ProDSS multi-parameter sonde, a Turner 10AU fluorometer, a Beckman Coulter CytoFLEX S flow cytometer, a Seal Analytical AA3 HR Nutrient Autoanalyzer, an Illumina MiSeq v2 platform, and the Illumina NovaSeq 6000.\n\nThese data reveal a remarkably persistent transition in surface ocean biogeochemistry, phytoplankton biomass, and phytoplankton community structure, despite high water exchange and define surface ocean biogeochemical and phytoplankton regimes over space and time across nearshore to offshore waters in the tropical Pacific. These results provide insight into drivers of seasonal and spatial variability of phytoplankton communities. Data were collected and analyzed by Sarah J. Tucker, Yoshimi M. Rii, Kelle C. Freel, Keliʻiahonui Kotubetey, A. Hiʻilei Kawelo, and Kawika B. Winter, Michael S. Rappé.\n\ncdm_data_type = Other\nVARIABLES:\nSampleID (unitless)\nUniversal_Sample_ID (unitless)\nMetagenome (unitless)\nMetagenome_ID (unitless)\nYear (unitless)\nSampling_Order (unitless)\nSeason (unitless)\nMonth (unitless)\nMonth_abb (unitless)\nTime (hh:mm)\n... (68 more variables)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_930163_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_930163_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_930163_v1/index.htmlTable https://www.bco-dmo.org/dataset/930163 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_930163_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_930163_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_930163_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_953492_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_953492_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_953492_v1/ public [Lab experimental time series of T. suecica densities under fluctuating temperatures] - Time series of T. suecica densities under fluctuating temperatures experiment from May 2023 to Aug 2023 (A novel time-structured framework to account for the cryptic effects of temperature fluctuations on population dynamics) This dataset includes the densities (count/mL) of the alga Tetraselmis suecica (LB 2286) cultures grown from a UTEX sample. The counts were obtained using a Beckman Coulter Z2 Particle Counter in the lab over a five-day period under different experimental temperature regimes. The experiment took place between 2023-05-23 and 2023-08-18. The goal of the experiment was to determine how mean temperature and temperature fluctuation frequency affected the growth rate of T. suecica. By comparing the growth rate of T. suecica under constant vs. variable temperatures, one can determine the historical or legacy effects of past temperature variation on subsequent organismal performance. These experiments were conducted by members of the Brian Helmuth Lab at Northeastern University.\n\ncdm_data_type = Other\nVARIABLES:\nfull_ID (unitless)\ntime (Measurement_datetime, seconds since 1970-01-01T00:00:00Z)\ndays_since_start (days)\ntemperature (degrees Celsius)\ntreatment (unitless)\nreplicate (unitless)\ncount_replicate (unitless)\nfinal_count (cells/mL)\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_953492_v1/index.htmlTable https://www.bco-dmo.org/dataset/953492 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_953492_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_953492_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_953492_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_1001364_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_1001364_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_1001364_v1/ public [Lab Measurements of Large Phytoplankton Chain Lengths from BIOSWOT-Med] - Lab measurements of the maximum lengths of different phytoplankton chains collected by phytonet tows from BIOSWOT-Med study in the Northwest Mediterranean Sea during May 2023 (Zooglider assessment of zooplankton frontal gradients across the BIOSWOT-Med region) These phytoplankton measurements are related to the deployment of the Scripps Zooglider in collaboration with the French-led BIOSWOT-Med study in the Northwestern Mediterranean Sea in Spring 2023. This study was one of the Adopt-a-Crossover field studies carried out around the world in synchrony with the launch by NASA/CNES of the new SWOT satellite for enhanced ocean altimetry. The data archived here are measurements of the maximum lengths of different phytoplankton chains that were collected by phytonet tows from 0-150 meters depth in the vicinity of Zooglider dives. Samples analyzed here were taken from R/V L'Atalante between 2-12 May 2023 at three oceanographic stations (M, M2, B3). Measurements were made by optical and electronic (SEM) microscopy by Dr. Karine Leblanc of Aix-Marseille University. These measurements were compared with measurements of comparable chain types imaged in situ by the Zoocam on Zooglider.\n\ncdm_data_type = Other\nVARIABLES:\nStation (unitless)\ntime (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\nlatitude (degrees_north)\nlongitude (degrees_east)\nTaxon (unitless)\nMaximum_length_mm (millimeters (mm))\nComments (unitless)\nCorresponding_Zoocam_Category (unitless)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_1001364_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_1001364_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_1001364_v1/index.htmlTable https://osprey.bco-dmo.org/dataset/1001364 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_1001364_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_1001364_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_1001364_v1
log in [Lahaina Sensor Data: HydroCAT] - HydroCAT data from a post-urban fire water quality study in Lahaina, West Maui, Hawaii from Nov 2023 to Feb 2024 (RAPID: Coral reef stress responses to an urban fire) These data include conductivity, temperature, pressure, pH, and DO measurements recorded by a Sea-Bird Scientific HydroCAT-EP V2. This dataset was collected as part of a coastal water quality study using sensors to measure salinity, conductivity, temperature, pressure, water flow direction and velocity, dissolved oxygen, pH, chlorophyll, and turbidity.  Sensors were all deployed in West Maui in coral reef systems that were within and adjacent to the burn zone of the Lahaina fires.  The temporal range of deployments in the project span from October of 2023 to October of 2024 with this dataset spanning from November of 2023 to February of 2024. The aim of these data is to understand the effects on coral reef health in response to the urban fires that occurred in August of 2023. Samples were collected by a collaborative effort of scientists Dr. Andrea K Kealoha, Dr. Craig Nelson, Dr. Eileen Nalley, and Dr. Nicholas Hawco.\n\ncdm_data_type = Other\nVARIABLES:\nSite_Name (unitless)\nlatitude (degrees_north)\nlongitude (Long, degrees_east)\nSite_ID (unitless)\nISO_DateTime_HST (unitless)\ntime (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\npressure (decibars (db))\nTemperature (Celsius)\nChlorophyll (micrograms per liter (ug/l))\nTurbidity (NTU)\nSalinity (PSU)\nOxygen (milligrams per liter (mg/L))\npH (unitless)\nO2sat (Percent (%))\nQ (unitless)\n BCO-DMO bcodmo_dataset_1001844_v1
log in [Lahaina Sensor Data: Minidot] - Temperature and dissolved oxygen from a post-urban fire water quality study in Lahaina, West Maui, Hawaii from Dec 2023 to Feb 2024 (RAPID: Coral reef stress responses to an urban fire) These data include temperature and dissolved oxygen measurements recorded by a MiniDOT Logger. This dataset was collected as part of a coastal water quality study using sensors to measure salinity, conductivity, temperature, pressure, water flow direction and velocity, dissolved oxygen, pH, chlorophyll, and turbidity.  Sensors were all deployed in West Maui in coral reef systems that were within and adjacent to the burn zone of the Lahaina fires.   The temporal range of deployments in the project span from October of 2023 to October of 2024 with this data set spanning from December of 2023 to February of 2024. The aim of these data is to understand the effects on coral reef health in response to the urban fires that occurred in August of 2023. Samples were collected by a collaborative effort of scientists Dr. Andrea K Kealoha, Dr. Craig Nelson, Dr. Eileen Nalley, and Dr. Nicholas Hawco.  These high-resolution time series provide critical baseline and post-disturbance information for assessing short- and long-term environmental change. The dataset is intended to support ongoing monitoring efforts and inform management strategies aimed at enhancing reef resilience and recovery.\n\ncdm_data_type = Other\nVARIABLES:\nSite_Name (unitless)\nSite_ID (unitless)\nlatitude (degrees_north)\nlongitude (Long, degrees_east)\nUnix_Timestamp (unitless)\ntime (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\nISO_DateTime_HST (unitless)\nBattery (Volts)\nTemperature (degrees Celsius (degC))\nDissolved_Oxygen (milligrams per liter (mg/L))\nDissolved_Oxygen_Saturation (Percent (%))\nQ (unitless)\n BCO-DMO bcodmo_dataset_1001818_v1
log in [Lahaina Sensor Data: Sea and Sun] - Sea and Sun Sensor data from a post-urban fire water quality study in Lahaina, West Maui, Hawaii from Nov 2023 to Feb 2024 (RAPID: Coral reef stress responses to an urban fire) These data include temperature and dissolved oxygen measurements recorded by a MiniDOT Logger. This dataset was collected as part of a coastal water quality study using sensors to measure salinity, conductivity, temperature, pressure, water flow direction and velocity, dissolved oxygen, pH, chlorophyll, and turbidity. Sensors were all deployed in West Maui in coral reef systems that were within and adjacent to the burn zone of the Lahaina fires.  The temporal range of deployments in the project span from October of 2023 to October of 2024 with this data set spanning from November of 2023 to February of 2024. The aim of these data is to understand the effects on coral reef health in response to the urban fires that occurred in August of 2023. Samples were collected by a collaborative effort of scientists Dr. Andrea K Kealoha, Dr. Craig Nelson, Dr. Eileen Nalley, and Dr. Nicholas Hawco. These high-resolution time series provide critical baseline and post-disturbance information for assessing short- and long-term environmental change. The dataset is intended to support ongoing monitoring efforts and inform management strategies aimed at enhancing reef resilience and recovery.\n\ncdm_data_type = Other\nVARIABLES:\nSerial_Number (unitless)\nSite_Name (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\nISO_DateTime_Local (unitless)\ntime (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\nSalinity (Practical Salinity Units (PSU))\nSalinity_stdev (Practical Salinity Units (PSU))\nSalinity_stderr (Practical Salinity Units (PSU))\nSalinity_max_per_burst (Practical Salinity Units (PSU))\nTemperature (degrees Celsius)\nTemperature_stdev (degrees Celsius)\nTemperature_stderr (degrees Celsius)\nPressure (decibars (db))\nPressure_stdev (decibars (db))\n... (10 more variables)\n BCO-DMO bcodmo_dataset_1001870_v1
log in [Lahaina Sensor Data: Tilt Current Meter] - Tilt Current Meter data from a post-urban fire water quality study in Lahaina, West Maui, Hawaii from Oct 2023 to Mar 2024 (RAPID: Coral reef stress responses to an urban fire) These data include water current velocity and direction measurements recorded by Lowell Instrument Tilt Current Meters TCM-4. This dataset was collected as part of a coastal water quality study using sensors to measure salinity, conductivity, temperature, pressure, water flow direction and velocity, dissolved oxygen, pH, chlorophyll, and turbidity.  Sensors were all deployed in West Maui in coral reef systems that were within and adjacent to the burn zone of the Lahaina fires.  The temporal range of deployments in the project spans from October of 2023 to October of 2024 with this dataset spanning from October of 2023 to March of 2024. The aim of these data is to understand the effects on coral reef health in response to the urban fires that occurred in August of 2023. Samples were collected by a collaborative effort of scientists Dr. Andrea K Kealoha, Dr. Craig Nelson, Dr. Eileen Nalley, and Dr. Nicholas Hawco.  These high-resolution time series provide critical baseline and post-disturbance information for assessing short and long-term environmental change. The dataset is intended to support ongoing monitoring efforts and inform management strategies aimed at enhancing reef resilience and recovery.\n\ncdm_data_type = Other\nVARIABLES:\nSite_ID (unitless)\nSite_Name (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\ntime (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\nSpeed (centimeters per second (cm/s))\nHeading (degrees)\nVelocity_N (centimeters per second (cm/s))\nVelocity_E (centimeters per second (cm/s))\nfilename (unitless)\nsensor_serial (unitless)\nQC_flag (unitless)\n BCO-DMO bcodmo_dataset_1001896_v1
log in [Lake Erie Winter Surveys 2022] - Winter survey data from Lake Erie from Feb 2022 to Mar 2022 (Lake Erie Center for Fresh Waters and Human Health) This dataset includes winter survey data from Lake Erie collected from February 2022 to March 2022. The survey includes environmental observations, physico-chemical data, chlorophyll, total and dissolved nutrients, plankton taxonomic classification, and cell abundance. The Lake Erie Center for Fresh Waters and Human Health is a five-year, multi-institutional effort aimed at understanding the environmental factors and ongoing changes that influence the growth and toxicity of cyanobacterial harmful algal blooms (cHABs) in Lake Erie.\n\ncdm_data_type = Other\nVARIABLES:\nStation (unitless)\nDate (unitless)\ntime_unitless (Time, unitless)\ntime (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\nLake (unitless)\nlatitude (degrees_north)\nlongitude (Long, degrees_east)\ndepth (Sample_depth, m)\nSample_ice_flag (unitless)\nDepth (meters (m))\nAir_temp (Degrees Celsius)\nWater_temp (Degrees Celsius)\nSnow_thickness_profile (meters (m))\nIce_thickness_in (inches (in))\nPercent_trans_ice_snow (percent (%))\nPercent_trans_ice (percent (%))\nIce_Narrative (unitless)\nSnow_Narrative (unitless)\nWind_speed (Knots (Kt))\nWind_direction (unitless)\nBarometer (Hg)\nChl_A (ug/L)\n... (55 more variables)\n BCO-DMO bcodmo_dataset_949323_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_949323_v2 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_949323_v2.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_949323_v2/ public [Lake Erie Winter Surveys 2022] - Winter survey data from Lake Erie from Feb 2022 to Mar 2022 (Lake Erie Center for Fresh Waters and Human Health) This dataset includes winter survey data from Lake Erie collected from February 2022 to March 2022. The survey includes environmental observations, physico-chemical data, chlorophyll, total and dissolved nutrients, plankton taxonomic classification, and cell abundance. The Lake Erie Center for Fresh Waters and Human Health is a five-year, multi-institutional effort aimed at understanding the environmental factors and ongoing changes that influence the growth and toxicity of cyanobacterial harmful algal blooms (cHABs) in Lake Erie.\n\ncdm_data_type = Other\nVARIABLES:\nStation (unitless)\nDate (unitless)\ntime_unitless (Time, unitless)\ntime (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\nLake (unitless)\nlatitude (degrees_north)\nlongitude (Long, degrees_east)\ndepth (Sample_depth, m)\nSample_ice_flag (unitless)\nDepth (meters (m))\nAir_temp (Degrees Celsius)\nWater_temp (Degrees Celsius)\nSnow_thickness_profile (meters (m))\nIce_thickness_in (inches (in))\nPercent_trans_ice_snow (percent (%))\nPercent_trans_ice (percent (%))\nIce_Narrative (unitless)\nSnow_Narrative (unitless)\nWind_speed (Knots (Kt))\nWind_direction (unitless)\nBarometer (Hg)\nChl_A (ug/L)\n... (55 more variables)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_949323_v2_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_949323_v2_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_949323_v2/index.htmlTable https://www.bco-dmo.org/dataset/949323 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_949323_v2.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_949323_v2&showErrors=false&email= BCO-DMO bcodmo_dataset_949323_v2
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_949323_v3 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_949323_v3.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_949323_v3/ public [Lake Erie Winter Surveys 2022] - Winter survey data from Lake Erie from Feb 2022 to Mar 2022 (Lake Erie Center for Fresh Waters and Human Health) This dataset includes winter survey data from Lake Erie collected from February 2022 to March 2022. The survey includes environmental observations, physico-chemical data, chlorophyll, total and dissolved nutrients, plankton taxonomic classification, and cell abundance. The Lake Erie Center for Fresh Waters and Human Health is a five-year, multi-institutional effort aimed at understanding the environmental factors and ongoing changes that influence the growth and toxicity of cyanobacterial harmful algal blooms (cHABs) in Lake Erie.\n\ncdm_data_type = Other\nVARIABLES:\nStation (unitless)\nDate (unitless)\ntime_unitless (Time, unitless)\ntime (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\nLake (unitless)\nlatitude (degrees_north)\nlongitude (Long, degrees_east)\ndepth (Sample_depth, m)\nSample_ice_flag (unitless)\nDepth (meters (m))\nAir_temp (Degrees Celsius)\nWater_temp (Degrees Celsius)\nSnow_thickness_profile (meters (m))\nIce_thickness_in (inches (in))\nPercent_trans_ice_snow (percent (%))\nPercent_trans_ice (percent (%))\nIce_Narrative (unitless)\nSnow_Narrative (unitless)\nWind_speed (Knots (Kt))\nWind_direction (unitless)\nBarometer (Hg)\nChl_A (ug/L)\n... (55 more variables)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_949323_v3_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_949323_v3_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_949323_v3/index.htmlTable https://osprey.bco-dmo.org/dataset/949323 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_949323_v3.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_949323_v3&showErrors=false&email= BCO-DMO bcodmo_dataset_949323_v3
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_940112_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_940112_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_940112_v1/ public [Lake Erie Winter Surveys 2023-2024] - Winter survey data from Lake Erie from Mar 2023 to May 2024 (Lake Erie Center for Fresh Waters and Human Health) This dataset includes winter survey data from Lake Erie collected on SAR Erie Guardian, USCGC Morro Bay, USCGC Neah Bay, CCGS Griffon, CCGS Samuel Risley, MV Vigilant from March 2023 to May 2024. The survey includes environmental observations, physico-chemical data, chlorophyll, total and dissolved nutrients, plankton taxonomic classification, and cell abundance. The Lake Erie Center for Fresh Waters and Human Health is a five-year, multi-institutional effort aimed at understanding the environmental factors and ongoing changes that influence the growth and toxicity of cyanobacterial harmful algal blooms (cHABs) in Lake Erie.\n\ncdm_data_type = Other\nVARIABLES:\nStation (unitless)\nDeployment (unitless)\nAlternate_Deployment (unitless)\nDate (unitless)\ntime_unitless (Time, unitless)\ntime (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\nLake (unitless)\nlatitude (degrees_north)\nlongitude (Long, degrees_east)\nMax_Depth (meters (m))\ndepth (Sample_depth, m)\nAir_Temp (degrees C)\nWater_Temp (degrees C)\nIce_cover (percent (%))\nSnow_cover (percent (%))\nIce_type (unitless)\nIce_thickness (centimeter (cm))\nDO (percent (%))\nDO2 (mg/L)\npH (unitless (pH scale))\nSp_Cond (microSiemen per cm (µS cm-1))\n... (37 more variables)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_940112_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_940112_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_940112_v1/index.htmlTable https://www.bco-dmo.org/dataset/940112 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_940112_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_940112_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_940112_v1
log in [Lake Erie Winter Surveys 2023-2024] - Winter survey data from Lake Erie from Oct 2023 to May 2024 (Lake Erie Center for Fresh Waters and Human Health) This dataset includes winter survey data from Lake Erie collected on SAR Erie Guardian, USCGC Morro Bay, USCGC Neah Bay, CCGS Griffon, CCGS Samuel Risley, MV Vigilant from October 2023 to May 2024. The survey includes environmental observations, physico-chemical data, chlorophyll, total and dissolved nutrients, plankton taxonomic classification, and cell abundance. The Lake Erie Center for Fresh Waters and Human Health is a five-year, multi-institutional effort aimed at understanding the environmental factors and ongoing changes that influence the growth and toxicity of cyanobacterial harmful algal blooms (cHABs) in Lake Erie.\n\ncdm_data_type = Other\nVARIABLES:\nStation (unitless)\nDeployment (unitless)\nAlternate_Deployment (unitless)\nDate (unitless)\ntime_unitless (Time, unitless)\ntime (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\nLake (unitless)\nlatitude (degrees_north)\nlongitude (Long, degrees_east)\nMax_Depth (meters (m))\ndepth (Sample_depth, m)\nAir_Temp (degrees C)\nWater_Temp (degrees C)\nIce_cover (percent (%))\nSnow_cover (percent (%))\nIce_type (unitless)\nIce_thickness (centimeter (cm))\nDO (percent (%))\nDO2 (mg/L)\npH (unitless (pH scale))\nSp_Cond (microSiemen per cm (µS cm-1))\n... (37 more variables)\n BCO-DMO bcodmo_dataset_940112_v2
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_998900_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_998900_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_998900_v1/ public [Large particles - Irminger Sea] - Time series of bio-optically determined large particles observed by the wire-following profiler at the Ocean Observatories Initiative’s Irminger Sea Array from 2014 to 2022 (CAREER: Constraining the high-latitude ocean carbon cycle: Leveraging the Ocean Observatories Initiative (OOI) Global Arrays as marine biogeochemical time series) This dataset contains the depth-resolved large particle signal calculated at the Ocean Observations Initiative (OOI) Global Irminger Sea Array (59.97°N, 39.51°W) from September 2014 to July 2022. Optical backscatter was measured using a dual-channel Sea Bird ECO sensor on the wire-following profiler (170-2600 m; profile every 20 hours). Optical backscatter is used to determine backscatter spikes that are attributed to large particles, following the approach of Briggs et al. (2020). The large particle signal was then binned into 50-m depth bins from 200-2000 m and the mean, median, max, standard deviation, and 95 percentile of the large particle signal were calculated for each depth bin.\n\ncdm_data_type = Other\nVARIABLES:\ntime (seconds since 1970-01-01T00:00:00Z)\nprofile_number (unitless)\nlongitude (degrees_east)\nlatitude (degrees_north)\ndepth (Centerofbin_m, m)\nbbl_npts (unitless)\nbbl_mean (m-1)\nbbl_std (m-1)\nbbl_max (m-1)\nbbl_med (m-1)\nbbl_95per (m-1)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_998900_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_998900_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_998900_v1/index.htmlTable https://osprey.bco-dmo.org/dataset/998900 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_998900_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_998900_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_998900_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_969640_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_969640_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_969640_v1/ public [Large Volume Pump Data from EN665] - Small and large particle concentrations of total carbon, total nitrogen, and inorganic carbon, and particulate thorium-234 and RAP234 from large volume pump profiles collected on R/V Endeavor cruise EN665 in the Gulf of Maine in April 2021 (Biogenic Calcium Carbonate Solubilities and Reaction Rates by Lab and Field Saturometry) Sample collection took place at two primary stations within the Gulf of Maine's Wilkinson and Jordan basins from the R/V Endeavor in April 2021. McLane pumps were deployed at eight depths throughout the water column from near the sea surface (~14 meters) to near the seafloor (~250 meters). The first deployment occurred in the Wilkinson Basin and the second occurred in the Jordan Basin. Small (1-51 micrometer (µm)) and large particle (>51 µm) concentrations of total carbon, total nitrogen, and inorganic carbon (PC, PN, and PIC, respectively) are presented, along with small particle isotopic compositions (13C, 15N) of these phases, particulate thorium-234, and RAP234 (a resuspension proxy associated with particulate thorium-234). Depth profiles demonstrate typical particulate carbon shapes. The PIC demonstrates a peak near the seafloor, indicating the potential presence of a nepheloid layer. This feature does not appear in the PC data. The isotopic composition of the PIC demonstrates uniquely negative values throughout the water column. Small particle thorium-234 activities were consistently larger than the large particle activities at all depths and small particle RAP234 activities indicate possible resuspension in the bottom ~50 m of the water column. These data were collected by Drs. Adam Subhas (WHOI) and Erin Black (UR). Data processing and preparation were completed by Dr. Subhas, Dr. Black, and Karine Holmes (UR).\n\ncdm_data_type = Other\nVARIABLES:\nCRUISE_ID (unitless)\nSTNNBR (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\ntime (Deploy_iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\nDATE_DEPLOY (unitless)\nTIME_DEPLOY (unitless)\nRecover_ISO_DateTime_UTC (seconds since 1970-01-01T00:00:00Z)\nDATE_RECOVER (unitless)\nTIME_RECOVER (unitless)\nCASTNO (unitless)\ndepth (m)\nPUMPVOL_L (liters (L))\n... (39 more variables)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_969640_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_969640_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_969640_v1/index.htmlTable https://osprey.bco-dmo.org/dataset/969640 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_969640_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_969640_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_969640_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_963425_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_963425_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_963425_v1/ public [Larval morphometrics Strongylocentrotus purpuratus under ocean warming and food availability scenarios] - Larval morphometrics of Strongylocentrotus purpuratus under ocean warming and food availability scenarios (Collaborative Research: The effects of marine heatwaves on reproduction, larval transport and recruitment in sea urchin metapopulations) Trends in survival, morphometric patterns, and time to metamorphic competency across temperature and food availability treatments were measured in S. purpuratus larvae. \n\nLarvae were spawned from adult purple urchins collected in Santa Barbara, CA. Effects of temperature and food availability were tested using a 6 x 4 factorial experimental design with six temperature treatments (10, 12, 14, 16, 18, 20°C) and four concentrations of Rhodomonas sp. microalgae (500, 2500, 5000, 10,000 cells mL-1) for a total of 24 treatment combinations. Food treatments represented algal concentrations from starvation to ad libitum conditions. Temperature and food treatments were based on historical observations of temperature trends and chlorophyll abundance. Larval samples were collected 4, 9, and 15 days post-fertilization and fixed in 10% PBS buffered formalin for morphometric analyses. \n\nSamples were collected before feeding to minimize influence of algae on stomach measurements. Fixed larvae were then photographed using an Olympus BX41 compound microscope with a Nikon 3400 DSLR camera at 4X magnification and postoral arm length, body length, stomach length and height were measured in 20 randomly selected larvae from each sample using ImageJ software (Schneider et al. 2012). Metamorphic competency was determined when >50% of larvae exhibited tube feet and adhered to the bottle.\n\ncdm_data_type = Other\nVARIABLES:\ndpf (days)\ntemp (degrees Celsius)\nfood (cells per mL)\nrep (unitless)\nindividual (unitless)\nPOA1 (µm)\nPOA2 (µm)\nBL (µm)\nSW (µm)\nSH (µm)\nPOA (µm)\nSA (µm2)\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_963425_v1/index.htmlTable https://osprey.bco-dmo.org/dataset/963425 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_963425_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_963425_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_963425_v1
log in [Larval Sebastes Diet and Morphometric Data] - Larval Sebastes Diet and Morphometric Data from R/V Bob and Betty Beyster, R/V Shearwater BBB2102, BBB2104, SW2104, BBB2101 from January to April 2021 (RAPID Anchovy Response project) (RAPID: Understanding the unprecedented anchovy response to warm-water conditions in the California Current) This dataset includes body morphometrics of analyzed species of larval Rockfish (Sebastes spp.) from Bongo plankton net tows conducted in the subtropical Southern California Bight from January to April 2021. The larvae were dissected and the gut content analyzed. Prey taxa, development stage, length and width are also included in the data. Net tows were carried out on several cruises aboard R/V Bob and Betty Beyster and R/V Shearwater.\n\ncdm_data_type = Other\nVARIABLES:\nCruise (unitless)\ntime (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\nISO_DateTime_PDT (unitless)\nLine (unitless)\nSt (unitless)\nlatitude (degrees_north)\nlongitude (Long, degrees_east)\nTow_Depth (meters (m))\nMesh_Size (micrometers (um))\nLarva_ID (unitless)\nGrowth_Stage (unitless)\nSpecies (unitless)\nSpecies_AphiaID (unitless)\nSpecies_lsid (unitless)\nSL (millimeters (mm))\nBD (millimeters (mm))\nHL (millimeters (mm))\nPrey_Taxa (unitless)\nPrey_Taxa_AphiaID (unitless)\nPrey_Taxa_lsid (unitless)\nPrey_Stage (unitless)\nLength (millimeters (mm))\nWidth (millimeters (mm))\n BCO-DMO bcodmo_dataset_940302_v1
log in [Larval Sebastes Otolith and Morphometric Data] - Collected Larval Sebastes spp. Otolith and Morphometric Data from R/V Bob and Betty Beyster, R/V Shearwater BBB2102, BBB2104, SW2104, BBB2101 from January to April 2021 (RAPID Anchovy Response project) (RAPID: Understanding the unprecedented anchovy response to warm-water conditions in the California Current) This dataset includes the morphometrics of Rockfish (Sebastes spp.) larvae from Bongo plankton net tows conducted in the subtropical Southern California Bight from January to April 2021. Net tows were carried out on several cruises aboard R/V Bob and Betty Beyster and R/V Shearwater. The dataset include species names, morphometrics and larval development stage, age, otolith cores size and width or each growth increment.\n\ncdm_data_type = Other\nVARIABLES:\nCruise (unitless)\ntime (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\nISO_DateTime_PDT (unitless)\nLine (unitless)\nSt (unitless)\nlatitude (degrees_north)\nlongitude (Long, degrees_east)\nTow_Depth (meters (m))\nMesh_Size (micrometers (um))\nLarva_ID (unitless)\nGrowth_Stage (unitless)\nSpecies (unitless)\nSpecies_AphiaID (unitless)\nSpecies_lsid (unitless)\nSL (millimeters (mm))\nBD (millimeters (mm))\nHL (millimeters (mm))\nagecap (days)\nradcap (micrometers (um))\nrad1 (micrometers (um))\nrad2 (micrometers (um))\nrad3 (micrometers (um))\nrad4 (micrometers (um))\n... (45 more variables)\n BCO-DMO bcodmo_dataset_940324_v1
log in [Larval settlement data: Phallusia nigra] - Phallusia nigra larval settlement data from experiments with varying temperature conducted in May of 2022 (Dispersal, connectivity and local adaptation along an extreme environmental gradient) We conducted a preliminary study of the larval settlement success for the ascidian Phallusia nigra in response to temperature. Adult ascidians were collected from two locations and transported to the campus of NYU-Abu Dhabi. Gametes were collected from adults and embryos were fertilized in the laboratory.  We quantified the number that metamorphosed and settled over a 92 hours.\n\ncdm_data_type = Other\nVARIABLES:\nDATE (unitless)\nSITE (unitless)\nTEMP (degrees Celsius)\nREP (unitless)\nID (unitless)\nTIMEPOINT_HRS (hours)\nLARVAE (unitless)\nMETAMORPHOSIS (unitless)\nJUVENILE (unitless)\nSURVIVAL_out_of_30 (unitless)\n BCO-DMO bcodmo_dataset_938160_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_963422_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_963422_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_963422_v1/ public [Larval Survival-Purple urchin] - Survival of larval Strongylocentrotus purpuratus under ocean warming and food availability scenarios (Collaborative Research: The effects of marine heatwaves on reproduction, larval transport and recruitment in sea urchin metapopulations) We tested how thermal tolerance itself can be fundamentally altered by food limitation hypothesis by quantifying how temperature and food concentrations interact synergistically to shape survival throughout larval development of purple urchins (Strongylocentrotus purpuratus). Larval sampling was conducted every two days to estimate changes in larval density and competency, in conjunction with water changes and feedings. Larval densities were quantified by concentrating larval cultures to 100 mL and counting the number of larvae found in five 1 mL subsamples. Density counts continued until larvae showed signs of metamorphosis, as determined by the presence of a rudiment and exposed tube feet.\n\ncdm_data_type = Other\nVARIABLES:\ndate (unitless)\ntemp (degrees Celsius)\nfood (cells per mL)\nrep (unitless)\ncount (unitless)\ncount_value (unitless)\navg_count (unitless)\nvolume (mL)\navg_bottle (unitless)\nsample_day (days)\ndpf (days)\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_963422_v1/index.htmlTable https://osprey.bco-dmo.org/dataset/963422 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_963422_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_963422_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_963422_v1
log in [Latitudinal variation in shell thickness of snails across 20 years] - Latitudinal variation in the shell thickness and tissue mass of Littorina obtusata snails in 1995-1997 and 2017-2018 (Local adaptation and the evolution of plasticity under predator invasion and warming seas: consequences for individuals, populations and communities) The impact of invasive predators during the early stages of invasion is often variable in space and time. Such variation is expected to initially favor plasticity in prey defenses but fixed defenses as invaders become established. Coincident with the range expansion of an invasive predatory crab in the Gulf of Maine we document rapid changes in shell thickness – a key defense against shell crushing predators – of an intertidal snail. Field experiments, conducted 20 years apart, revealed that temporal shifts in shell thickness were driven by the evolution of increased trait means and erosion of thickness plasticity. The virtual elimination of the trade-off in tissue mass that often accompanies thicker shells is consistent with the evolution of fixed defenses under increasingly certain predation risk. These data describe latitudinal variation in the shell thickness and tissue mass of snail (Littorina obtusata) populations throughout the Gulf of Maine in 1995-1997 and 2017-2018. These data allowed us to evaluate the relationship between spatiotemporal changes in green crab density and spatiotemporal variation in snail shell thickness and tissue mass.\n\ncdm_data_type = Other\nVARIABLES:\nYear (unitless)\nSite_Name (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\nShell_Length (millimeters (mm))\nShell_Thickness (millimeters (mm))\nTissue_Mass (milligrams (mg))\nShell_Mass (milligrams (mg))\n BCO-DMO bcodmo_dataset_990839_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_926465_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_926465_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_926465_v1/ public [Light level (lux) at coral reefs in Palau] - Light level (lux) measured at six coral reefs sites in Palau from 2021 to 2023 (Collaborative Research: How do selection, plasticity, and dispersal interact to determine coral success in warmer and more variable environments?) Light levels (lux) were measured at six coral reef sites in Palau during field seasons from 2021 to 2023. Loggers (Hobo Pendant,  UA-002-64) were attached to threaded rods embedded in the reef using zip ties.\n\ncdm_data_type = Other\nVARIABLES:\nISO_DateTime_Local (unitless)\ntime (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\nSite (unitless)\nLatitude (degrees_north)\nlongitude (degrees_east)\nIrradiance (lux)\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_926465_v1/index.htmlTable https://www.bco-dmo.org/dataset/926465 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_926465_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_926465_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_926465_v1
log in [Little Cayman Vertical Temp Data] -  (NSF-BSF: Assessing the mechanisms of molecular and morphological adaptation by corals to extreme environments) Coral reefs are increasingly threatened by marine heatwaves, which drive widespread coral bleaching and mortality. Mesophotic coral ecosystems (MCEs) have been proposed as potential thermal refuges due to their greater depth and relative isolation from surface temperature extremes. Yet their resilience to extreme heat events remains uncertain, with location specific conclusions, thus requiring further studies. Here, we investigate the effects of the 2023 marine heatwave in the Cayman Islands, which resulted in prolonged sea surface temperatures exceeding 31°C and 17.5 DHW with extensive bleaching across shallow coral reefs. \n\nUtilizing vertical transect surveys from 10m to 50m, we assessed depth-related variations in bleaching prevalence and temperature profiles. Our results indicate a significant decline in bleaching with increasing depth, with a concurrent reduction in temperature. Depth-generalist species exhibited reduced bleaching at greater depths, whereas shallow-water specialists displayed severe bleaching. These findings suggest that while MCEs may provide thermal refuge for some species, their capacity to buffer against climate-driven reef degradation is species-specific. Given the increasing frequency and intensity of marine heatwaves, understanding the role of deeper reef habitats in mitigating coral loss is critical for informing conservation and management strategies. \n\nOur study underscores the importance of protecting MCEs as potential thermal refuges while emphasizing the need for continued research on species-specific thermal resilience with depth. Within this dataset, we present the temperature data measured during each survey across depth.\n\ncdm_data_type = Other\nVARIABLES:\nsite (unitless)\ndepth_f (Depth_ft, feet (ft))\ndepth (Depth_m, m)\nTemp (degrees Celsius (C))\nlatitude (Site_latitude, degrees_north)\nlongitude (Site_longitude, degrees_east)\n BCO-DMO bcodmo_dataset_964602_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_895989_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_895989_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_895989_v1/ public [Lobate ctenophore in situ swimming velocities and morphometrics] - Lobate ctenophore in situ swimming velocities and morphometrics sampled off of Woods Hole, Massachusetts and the Kona coast of Hawaii, USA from 2019 to 2022 (Collaborative Research: Quantifying the trophic roles of epipelagic ctenophores) This dataset includes morphological and swimming data of lobate ctenophores swimming in the field. The data were collected by SCUBA divers using videography off of Woods Hole, Massachusetts (41°30'48.14\"N, 70°41'36.56\"W) and the Kona coast of Hawaii (19°34'55.24\"N, 156°12'56.60\"W) from 2019 to 2022. The videos were collected at various dates and locations depending on the lobate species.\n\ncdm_data_type = Other\nVARIABLES:\nGenus (unitless)\nCollection (unitless)\nDate (unitless)\nLatitude (degrees_north)\nlongitude (degrees_east)\nTemperature (degrees Celsius)\nIndividual (unitless)\nLength (millimeters (mm))\nGap (millimeters (mm))\nWidth (millimeters (mm))\nLobe (millimeters (mm))\nVelocity (millimeters per second (mm/s))\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_895989_v1/index.htmlTable https://www.bco-dmo.org/dataset/895989 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_895989_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_895989_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_895989_v1
log in [Lobster Larvae Growth and Mortality Data] - Growth and mortality of lobster larvae at different temperatures for lobster larvae from Gulf of Maine near Boothbay Maine from 2021 and 2022 (Lobster Thermal Thresholds project) (RUI: Collaborative Research: Linking physiological thermal thresholds to the distribution of lobster settlers and juveniles) We used the American lobster (Homarus americanus lsid:marinespecies.org:taxname:156134) in the Gulf of Maine as a model system to define thermal tolerance in larvae and establish mechanistic linkages between thermal tolerance of the individual larva and the patterns of settlement in the field.  We assessed and compared the thermal tolerances of larvae reared in the laboratory using conventional methods with larvae captured in the wild, and examined ontogenetic changes in thermal tolerance.  The upper and lower thermal thresholds larval stages I-IV and the first juvenile stage were defined in part by growth and mortality when subjected to chronic exposure to different treatment temperatures until they either molted to the next developmental stage or died.  This data set includes individuals dying, the size after molting and the amount of time elapsed between the start of the treatment and either molting or death.  These data were collected between 2021-2022 at Bigelow Laboratory for Ocean Sciences, led by Eric Annis.\n\ncdm_data_type = Other\nVARIABLES:\nLARVA_ID (unitless)\nTREATMENT_TEMPERATURE (degrees C)\nDIET (unitless)\nREARING_CONDITION (unitless)\nREARING_TEMPERATURE (degrees C)\nDEVELOPMENTAL_STAGE (unitless)\nINDIVIDUAL_LARVA_NUMBER (unitless)\nHATCH_OR_CAPTURE_DATE (unitless)\nTRANSFER_DATE (unitless)\nMOLT_DATE (unitless)\nTIME_UNTIL_MOLT (unitless)\nDEATH_DATE (unitless)\nTIME_UNTIL_DEATH (days)\nCARAPACE_LENGTH (millimeters (mm_)\nDRY_WEIGHT (grams (g))\nNOTES (unitless)\nSource_File (unitless)\n BCO-DMO bcodmo_dataset_939825_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_939782_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_939782_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_939782_v1/ public [Lobster Larvae Respirometry Data] - Oxygen consumption by lobster larvae at different temperatures using closed cell respirometry for lobster larvae from Gulf of Maine near Boothbay Maine from 2021 to 2023 (Lobster Thermal Thresholds project) (RUI: Collaborative Research: Linking physiological thermal thresholds to the distribution of lobster settlers and juveniles) We used the American lobster (Homarus americanus lsid:marinespecies.org:taxname:156134) in the Gulf of Maine as a model system to define thermal tolerance in larvae and establish mechanistic linkages between thermal tolerance of the individual larva and the patterns of settlement in the field.  We assessed and compared the thermal tolerances of larvae reared in the laboratory using conventional methods with larvae captured in the wild, and examined ontogenetic changes in thermal tolerance.  The upper and lower thermal thresholds larval stages I-IV and the first juvenile stage were defined in part by oxygen consumption and scope for activity (defined as the difference in oxygen consumption between larvae at rest and larvae swimming actively).  This data set includes the raw oxygen consumption data obtained through closed system microrespirometry and subsequently used to calculate scope for activity.  These data were collected between 2021-2023 at Bigelow Laboratory for Ocean Sciences, led by Eric Annis.\n\ncdm_data_type = Other\nVARIABLES:\nLarva_ID (unitless)\nTreatment_Temperature (degrees C)\nDiet (unitless)\nRearing_Temperature (degrees C)\nDevelopmental_Stage (unitless)\nIndividual_Larva_Number (unitless)\nYear (unitless)\nHatch_or_Capture_Date (unitless)\nTrial_Date (unitless)\nTrial_Time_Local_EST (unitless)\ntime (Trial_datetime_utc, seconds since 1970-01-01T00:00:00Z)\nTreatment (unitless)\nO2_Slope (micromole per liter per hour (umol/l/h))\nChamber_Number (unitless)\nChamber_Volume (liters (l))\nTreatment_O2_Consumption (micromole per hour (umol/h))\nControl_O2_Consumption (micromole per hour (umol/h))\nControl_Corrected (micromole per larva per hour (umol/larva/h))\nDry_Weights (milligram (mg))\nO2_Consumption_Normalized (micromole per milligram of larva per hour (umol/mg larva/hr)\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_939782_v1/index.htmlTable https://osprey.bco-dmo.org/dataset/939782 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_939782_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_939782_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_939782_v1
log in [Long Phytoplankton Chain lengths, Zooglider BioSWOT-Med] - Large phytoplankton chain lengths from BIOSWOT-Med Zooglider deployment in the Northwest Mediterranean Sea during March to May 2023 (Zooglider assessment of zooplankton frontal gradients across the BIOSWOT-Med region) These data are based on deployment of the Scripps Zooglider in collaboration with the French-led BIOSWOT-Med study in the Northwestern Mediterranean Sea in Spring 2023. This study was one of the Adopt-a-Crossover field studies carried out around the world in synchrony with the launch by NASA/CNES of the new SWOT satellite for enhanced ocean altimetry. We deployed Zooglider on 30 March 2023 from Palma, Majorca using a small craft, then navigated it remotely to the BIOSWOT-Med study region. Initially Zooglider sampled to the east of Majorca and south of Menorca. Then we recovered Zooglider at sea, transported it to the center of an anticyclonic eddy north of Menorca, and redeployed it, navigating it from the eddy center across the eddy periphery. We then recovered it at sea on 8 May 2023, for a total mission duration of 40 days. Zooglider data were telemetered back to our server each time the vehicle surfaced and the data were immediately posted on our public website, available to all BIOSWOT-Med participants and any member of the general public. The data archived here are length measurements from 5 different groups of highly elongate phytoplankton chains (Guinardia spp., Proboscia spp., Diatom chains with cell lengths much greater than cell widths, diatom chains with cell lengths approximately equal to cell widths, and Trichodesmium filaments) from in situ images taken with Zooglider's shadowgraph Zoocam. Data were typically acquired in Zooglider dives between approximately 420 meters depth and the sea surface, apart from initial and final Zooglider dives that were somewhat shallower.\n\ncdm_data_type = Other\nVARIABLES:\nTaxon (unitless)\nDive (unitless)\nlatitude (Latitude_mid_ascent_75, degrees_north)\nlongitude (Longitude_mid_ascent_75, degrees_east)\nISO_DateTime_CET (unitless)\ntime (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\nPressure_db (decibars)\nTotal_length_mm (millimeters (mm))\nComments (unitless)\n BCO-DMO bcodmo_dataset_999115_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_1002908_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_1002908_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_1002908_v1/ public [Long-term EXPORTS 2018 North Pacific incubation data] - Dissolved and labile particulate elemental, dissolved macronutrient, chlorophyll a, biogenic silica, and particulate organic carbon and nitrogen from four shipboard incubation experiments from the 2018 EXPORTS cruise (RR1813) near Ocean Station PAPA (Collaborative Research: Diatoms, Food Webs and Carbon Export - Leveraging NASA EXPORTS to Test the Role of Diatom Physiology in the Biological Carbon Pump) This dataset includes the concentrations of dissolved (<0.4 micrometer (µm)) nickel (Ni), cadmium (Cd), soluble reactive phosphorus (\"phosphate\"), nitrite (NO3-), nitrate+nitrite (NO3-+NO2-), and silicic acid (Si(OH)4) from four long-term (6- to 8-day) incubations conducted during the EXports Processes in the Oceans from RemoTe Sensing (EXPORTS) North Pacific (NP) cruise on the R/V Roger Revelle (RR1813) near Ocean Station Papa. Additionally, concentrations of size-fractionated (0.6-5 µm and >5 µm) chlorophyll a and biogenic silica (bSi); size-fractionated (0.4-5 µm and >5 µm) labile particulate elemental phosphorus (P), Ni, and Cd; and particulate organic carbon and nitrogen (POC and PON, respectively) from these four incubations was measured. Treatments included various additions of macronutrients and/or iron (Fe) to either induce severe nutrient stress or relieve nutrient limitation. For each incubation, triplicate initial control samples were collected and then triplicate samples from each treatment were collected on the final day. This study provides insight into the macronutrient-micronutrient levers that may be responsible for the lack of full dissolved Ni depletion in ocean surface waters by marine phytoplankton.\n\ncdm_data_type = Other\nVARIABLES:\nCRUISE (unitless)\nSAMPLE_DATE (unitless)\nJULIAN_DAY (unitless)\nEPOCH (unitless)\nEPOCH_DAY (unitless)\nINCUBATION (unitless)\nTIMEPOINT (unitless)\nTREATMENT (unitless)\nREPLICATE (unitless)\nPHOSPHATE (micromolar (µM))\nPHOSPHATE_flag (unitless)\nSILICIC_ACID (micromolar (µM))\nSILICIC_ACID_flag (unitless)\nNITRITE (micromolar (µM))\nNITRITE_flag (unitless)\n... (34 more variables)\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_1002908_v1/index.htmlTable https://osprey.bco-dmo.org/dataset/1002908 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_1002908_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_1002908_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_1002908_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_986592_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_986592_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_986592_v1/ public [Longitudinal study NCBI SRA] - NCBI Sequence Read Archive (SRA) accession numbers for fastq sequence files of 16S amplicons from a longitudinal study of SCTLD at St. John, U.S. Virgin Islands from 2020 to 2024 (A multi-scale approach to predicting infectious multi-host disease spread in marine benthic communities) In St. John, U.S. Virgin Islands, a longitudinal study of Colpophyllia natans was conducted. Six corals per site (two sites) were tagged and repeatedly sampled from July 2020 through March 2024, during which time, stony coral tissue loss disease (SCTLD) arrived on the reefs. As the tagged corals contracted SCTLD, coral tissue and near-coral seawater (2-5 centimeters from colony surface) were collected. Coral tissue was separated from the coral skeleton, and the seawater was filtered through 0.2-micrometer (µm) filters. DNA was extracted from the tissue and filters, and 16S ribosomal RNA gene sequencing was done to determine the bacteria and archaea communities that live within and near the corals. The goal of the study was to determine how coral-associated microbiomes are affected by the arrival of SCTLD through time. This data set contains the fastq files of the 16S amplicon sequencing of the coral tissue and near-coral seawater communities. National Center for Biotechnology Information (NCBI) SRA: SRP550314; BioProject: PRJNA1194595\n\ncdm_data_type = Other\nVARIABLES:\nExperiment_Accession (unitless)\nInstrument (unitless)\nStudy_Accession (unitless)\nStudy_Title (unitless)\nSample_Accession (unitless)\nLibrary_Name (unitless)\nCollection_date (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_986592_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_986592_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_986592_v1/index.htmlTable https://osprey.bco-dmo.org/dataset/986592 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_986592_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_986592_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_986592_v1
log in [Lottia field experiment 2023] - Lottia gigantea growth data from field experiments of experimentally manipulated competitor densities on the Northern and Central California coast from Feb to Dec 2023 (Evolutionary and ecological dynamics of a contemporary climate-driven range expansion) We harnessed an ongoing poleward range shift of the giant owl limpet (Lottia gigantea) in California, USA to test whether the effects of competition vary between the range core and expanding edge. To assess the strength of competition across the range, we experimentally manipulated densities of L. gigantea, and a competing grazer (L. scabra), at five rocky intertidal sites and measured limpet growth over ~10 months as a metric of performance. \n\nAs predicted, field surveys confirmed that L. gigantea density was higher in the range core than the range edge. Contrary to theory, range-core limpets that evolved in these dense populations were more strongly impacted by intra- and interspecific competition than range-edge limpets when both were held under standardized experimental densities of competitors. Importantly, both forms of competition had similar effects across the range, even though interspecific competition is rarely integrated into range-expansion theory. Consistent with theory, growth rates were fastest at the expanding edge. \n\nHowever, growth in range-edge limpets did not decline under high intra- and interspecific densities, suggesting that rapid growth rate did not come at the cost of reduced competitive ability. Growth in the expanded range may be enhanced by greater food availability as cooler temperatures lower metabolic demand and ameliorate competition. Our findings suggest that predicting the dynamics of range expansions will require greater consideration of how diverse recipient communities and environmental heterogeneity mediate the strength of competition and performance across an expanding species' range.\n\ncdm_data_type = Other\nVARIABLES:\nBlock (unitless)\nTreatment (unitless)\nTag (unitless)\nSite (unitless)\ndate_initial (unitless)\nLength_initial (mm)\nLength_final (mm)\n... (5 more variables)\n BCO-DMO bcodmo_dataset_1000489_v1
log in [Lottia gigantea body temperatures] - Lottia gigantea body temperatures from biomimetic loggers collected from the eight California intertidal sites from Jul 2023 to May 2024 (Evolutionary and ecological dynamics of a contemporary climate-driven range expansion) As the climate warms, species distributions are shifting poleward, but we have a limited understanding of how organisms perform in their expanded range and the environmental drivers that modulate performance across latitude during range expansions. The abundant center hypothesis (ACH) predicts that abundance and performance decline towards the edge of a species' range and is the foundation for most predictive theory extended to the eco-evolutionary dynamics of range shifts. However, it is unclear how often these predictions are met during actual range shifts and under what contexts deviations are expected. \n\nHere, we use a poleward range expansion of an intertidal limpet (Lottia gigantea) to test predictions regarding patterns of performance and environmental drivers across the geographic range. We recorded body temperature using biomimetic loggers at eight intertidal sites along the California coast. This dataset includes the recorded temperature estimates made every 30 mins for the six loggers at each of the eight sites. Temperature estimates are separated into two parameters by tidal state (air_temp and water_temp): aerial body temperatures, comprising readings recorded within 90 minutes of the largest daily low tide, and immersion body temperatures, comprising readings recorded within 90 minutes of daily high tides. Mean body temperature and lower 5th percentile body temperature declined towards higher latitude sites, however, upper 95th percentile body temperatures varied as a mosaic across latitude.\n\ncdm_data_type = Other\nVARIABLES:\nair_temp (degrees Celsius)\nwater_temp (degrees Celsius)\nlogger (unitless)\nSite (unitless)\nDate (unitless)\ntime_local_pt (unitless)\ntime (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\nlatitude (degrees_north)\nlongitude (degrees_east)\nday_of_week (unitless)\nlogger_file (unitless)\n BCO-DMO bcodmo_dataset_1000461_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_941327_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_941327_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_941327_v1/ public [Low-pH springs: foraminifera boron isotopes] - Isotopes (d11B, 87Sr/86Sr, d18O, d13C), elemental concentrations (B, Mg, Ca), and carbon content collected from the foraminifera Ammonia parkinsoniana and sediments in Celestun Lagoon, Yucatan, Mexico in June 2009 and May 2015 (Calcification in low saturation seawater: What can we learn from organisms in the proximity of low pH; undersaturated submarine springs) This dataset includes isotopes (δ11B, 87Sr/86Sr, δ18O, δ13C), elemental concentrations (B, Mg, Ca), and carbon content collected from the foraminifera Ammonia parkinsoniana and sediments in Celestun Lagoon, Yucatan, Mexico in June 2009 and May 2015. Sediment cores were taken with push corers and piston corers. Sampling site were distributed unevenly along a transect along the lagoon. These data were collected to investigate the influence of low-pH groundwater-seawater mixing on the boron isotope pH proxy.\n\ncdm_data_type = Other\nVARIABLES:\ndate (date)\nsite (unitless)\nlatitude (degrees_north)\nlongitude (Long, degrees_east)\ndistance (kilometers (km))\ncore (unitless)\ndepth (m)\nMgCa (millimol per mole (mmol/mol))\nMgCa_2sd (millimol per mole (mmol/mol))\nBCa (micromol per mole (umol/mol))\nBCa_2sd (micromol per mole (umol/mol))\nd11B (per mil (0/00))\nd11B_2sd (per mil (0/00))\nd18O (per mil (0/00))\nd13C (per mil (0/00))\nSr8786 (unitless)\nSr8786_2sd (unitless)\nd13C_om (per mil (0/00))\nd13C_om_2sd (per mil (0/00))\nom_content (percent (%))\nom_content_2sd (percent (%))\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_941327_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_941327_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_941327_v1/index.htmlTable https://www.bco-dmo.org/dataset/941327 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_941327_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_941327_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_941327_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_941377_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_941377_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_941377_v1/ public [Low-pH springs: water samples] - Measured and calculated geochemistry values and uncertainty for water samples taken from the water column of Celestun Lagoon, Yucatan, Mexico in May of 2015 (Calcification in low saturation seawater: What can we learn from organisms in the proximity of low pH; undersaturated submarine springs) Measured and calculated geochemistry values and uncertainty for water samples taken from the water column of Celestun Lagoon, Yucatan, Mexico in May of 2015.\n\nThis dataset was collected in coordination with the following study (See \"Related Datasets\" section):\n\nIsotopes (δ11B, 87Sr/86Sr, δ18O, δ13C), elemental concentrations (B, Mg, Ca), and carbon content were collected from the foraminifera Ammonia parkinsoniana and sediments in Celestun Lagoon, Yucatan, Mexico in June 2009 and May 2015. Sediment cores were taken with push corers and piston corers. Sampling site were distributed unevenly along a transect along the lagoon. These data were collected to investigate the influence of low-pH groundwater-seawater mixing on the boron isotope pH proxy.\n\ncdm_data_type = Other\nVARIABLES:\nsite (unitless)\nlatitude (degrees_north)\nlongitude (Long, degrees_east)\ndistance (kilometers (km))\nregion (unitless)\ndate (unitless)\ntime_local (Time, unitless)\nISO_DateTime_UTC (unitless)\ntide (unitless)\nsample (unitless)\ntemperature (degrees Celsius)\nsalinity (practical salinity units (PSU))\npH (total scale)\nDIC (micromoles per kilogram (umol/kg))\nDIC_2sd (micromoles per kilogram (umol/kg))\nTA (micromoles per kilogram (umol/kg))\n... (40 more variables)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_941377_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_941377_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_941377_v1/index.htmlTable https://www.bco-dmo.org/dataset/941377 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_941377_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_941377_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_941377_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_925751_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_925751_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_925751_v1/ public [Macroalgal biodiversity experiment: coral growth and tissue mortality data] - Coral (Pocillopora verrucosa) growth and tissue mortality from experimental field plots in Moʻorea, French Polynesia in 2021 (Positive Effects of Coral Biodiversity on Coral Performance: Patterns, Processes, and Dynamics) Hundreds of studies now document positive relationships between biodiversity and critical ecosystem processes, but as ecological communities worldwide shift towards new species configurations, less is known regarding how biodiversity of undesirable species will shape the functioning of ecosystems or foundation species. We manipulated macroalgal species richness in experimental field plots to test whether and how identity and diversity of competing macroalgae affected the growth, survival, and microbiome of a common coral in Moʻorea, French Polynesia. These data include coral (Pocillopora verrucosa) percent growth and tissue mortality among corals outplanted into 25 cm x 21 cm experimental plots in the back reef lagoon on the north coast of Moʻorea, French Polynesia (17°28′37″S 149°50′21″W). We varied the macroalgal community on the upper surface of each plot by outplanting monocultures holding similar masses of: (1) Sargassum pacificum, (2) Turbinaria ornata, or (3) Amansia rhodantha, as well as (4) polycultures containing all three species (12 plots per treatment; Figure 1 of Clements et al., 2024). There were also two additional treatments: (5) plots with plastic algal mimics to control for effects of shading or abrasion unrelated to the biotic properties of live seaweeds and 6) control plots where corals, but not living algae or physical mimics, were present (n = 12 plots/treatment).\n\nThis dataset includes coral (Pocillopora verrucosa) growth and tissue mortality at 9 weeks for plots with no algae (control), plastic algal mimics, monocultures of Amansia rhodantha, Turbinaria ornata, or Sargassum pacificum, and polycultures containing all three algal species.\n\ncdm_data_type = Other\nVARIABLES:\nID (unitless)\nTreatment (unitless)\nPlot (unitless)\nColony (unitless)\nPosition (unitless)\nGrowth_percent (unitless)\nMortality_percent (unitless)\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_925751_v1/index.htmlTable https://www.bco-dmo.org/dataset/925751 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_925751_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_925751_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_925751_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_942883_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_942883_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_942883_v1/ public [Macronutrients from a 2014 IRNBRU cruise Rosette Data] - Macronutrient concentrations from samples collected using rosette on R/V Melville MV1405 (IRN-BRU) cruise in the California Current System in July 2014 (Accomplishment Based Renewal:   An iron limitation mosaic within the central California Current System) This dataset includes macronutrient concentrations from seawater samples collected on R/V Melville MV1405 while investigating the mosaic of the California Current System in July 2014 using the shipboard rosette. It includes depth profiles of an active upwelling site nearshore over the shelf in northern California (Station 2), a more aged upwelling site offshore of the shelf break in southern Oregon (Station 28), a station in the Santa Barbara Basin that got suboxic in the lower depths of the water column (Station 29), and a set of stations (9, 12 and 15) that show two cyclonic eddies, one two months younger (station 9) than the other (station 15), but both coming from roughly the same place and moving offshore, with station 12 in between them in an offshoot of the California Current. \n\nThe chief scientist of the cruise was Ken Bruland. Nutrient samples were analyzed by Tyler Coale. See related datasets for additional macronutrient concentrations and dissolved trace metal concentrations found in GoFlo and surface samples collected on MV1405.\n\ncdm_data_type = Other\nVARIABLES:\nSample_date (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\nStation_number (unitless)\nStation_notes (unitless)\ndepth (m)\nPhosphate (umol/kg)\nSilicic_acid (umol/kg)\nNitrate_plus_nitrite (umol/kg)\nNitrate_plus_nitrite_flag (unitless)\nNitrite (umol/kg)\nNitrate (umol/kg)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_942883_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_942883_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_942883_v1/index.htmlTable https://www.bco-dmo.org/dataset/942883 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_942883_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_942883_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_942883_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_922818_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_922818_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_922818_v1/ public [Macrophytes' amelioration of seawater acidity: Comparison among species] - Macrophytes' amelioration of seawater acidity: Comparison among four species of marine macrophytes (Ulva lactuca, Zostera marina, Fucus vesiculosus and Saccharina latissima) from the Gulf of Maine from June to July 2015 (REU Site: Bigelow Laboratory for Ocean Sciences - Undergraduate Research Experience in the Gulf of Maine and the World Ocean) An experiment examining the effects of increased CO2 concentrations upon the capacity of the different species of marine macrophytes to ameliorate seawater acidity via several assays in enclosed well-mixed, airtight chambers with no headspace, was conducted indoors at the Bigelow Laboratory for Ocean Sciences (Maine, USA), in June-July 2015. We explored the individual capacities of four species of marine macrophytes (Ulva lactuca, Zostera marina, Fucus vesiculosus and Saccharina latissima) to ameliorate seawater acidity in experimentally elevated pCO2. \n\nThis dataset includes data from experiment 1, comparison among species, described in the manuscript: Optimizing marine macrophyte capacity to locally ameliorate ocean acidification under variable light and flow regimes: Insights from an experimental approach (Ricart, A. M. et al. 2023).\n\ncdm_data_type = Other\nVARIABLES:\nSample (unitless)\nSpecies (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\ndate_start (unitless)\ndate_end (unitless)\nTreatment (microatmospheres)\nLiters (liters (L))\nHours (unitless)\nDry_Weight (grams (g))\nSalinity (unitless)\nTemperature (degrees Celcius (°C))\nInitial_Dissolved_Oxygen (micromolar per liter (uM/L))\nInitial_pH (total scale)\nInitial_ALK (micromolar per kilogram (uM/kg))\nInitial_pCO2 (microatmospheres)\ndelta_DO_norm (unitless)\ndelta_DIC_norm (unitless)\ndelta_pH_norm (unitless)\ndelta_omega_norm (unitless)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_922818_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_922818_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_922818_v1/index.htmlTable https://www.bco-dmo.org/dataset/922818 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_922818_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_922818_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_922818_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_922819_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_922819_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_922819_v1/ public [Macrophytes' amelioration of seawater acidity: Residence time and irradiance] - Macrophytes' amelioration of seawater acidity: Water residence time and irradiance of Saccharina latissima from the Gulf of Maine in November 2018 (REU Site: Bigelow Laboratory for Ocean Sciences - Undergraduate Research Experience in the Gulf of Maine and the World Ocean) An experiment examining the effects of water residence time upon Saccharina latissima capacity to ameliorate seawater acidity under ambient and simulated future scenarios of climate change in a gradient of irradiance was conducted indoors using tanks with a flow-through seawater system based at the Bigelow facilities in November 2018. In a previous experiment (experiment 1), we explored the individual capacities of four species of marine macrophytes (Ulva lactuca, Zostera marina, Fucus vesiculosus and Saccharina latissima) to ameliorate seawater acidity in experimentally elevated pCO2. Then in this experiment 2, we used the most responsive species (i.e., Saccharina latissima) to assess the effects of high and low water residence time on the amelioration of seawater acidity in ambient and simulated future scenarios of climate change across a gradient of irradiance.\n\nThis dataset includes data from experiment 2, residence time and irradiance, described in the manuscript: Optimizing marine macrophyte capacity to locally ameliorate ocean acidification under variable light and flow regimes: Insights from an experimental approach (Ricart, A. M. et al. 2023).\n\ncdm_data_type = Other\nVARIABLES:\nSpecies (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\nDate (unitless)\nAquaria (unitless)\nFuture_Ambient (unitless)\nKelp_Control (unitless)\nKelp_biomass_wet (grams (g))\nKelp_biomass_dry (grams (g))\nPAR (micromols m-2 s-1 (uM m-2 s-1))\nFlow_level (unitless)\nSalinity (unitless)\nTemperature (degrees Celsius (°C))\n... (7 more variables)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_922819_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_922819_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_922819_v1/index.htmlTable https://www.bco-dmo.org/dataset/922819 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_922819_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_922819_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_922819_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_931318_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_931318_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_931318_v1/ public [Major inorganic ions in Primary Marine Aerosol (PMA) generated near the BATS station, cruises AE2113 and AE2303] - Major inorganic ions in Primary Marine Aerosols (PMA) generated from seawater collected near the BATS station during R/V Atlantic Explorer cruises AE2113 (July 2021) and AE2303 (January 2023) (Collaborative Research: Seasonal Variability in refractory dissolved organic carbon fluxes associated with primary marine aerosol emitted from the oceans) This dataset includes the concentrations of seven major inorganic ions determined in primary marine aerosol (PMA) samples collected from the Bermuda Atlantic Time-series Study (BATS) station during a summer cruise in 2021 and a winter cruise in 2023 aboard the R/V Atlantic Explorer. The major ions in PMA samples were collected using a high-capacity aerosol generator and the major ions were quantified using a Dionex dual channel model ICS 6000 high-performance ion chromatograph (ICS-6000 DP). This dataset was generated and prepared by Dr. Lei Xue under the supervision of Dr. David Kieber at the State University of New York, College of Environmental Science and Forestry. These data were used to determine the enrichment of major ions in PMA samples and to calculate the enrichment factors of protein/peptides and carbohydrates in PMA samples relative to bulk seawater and the associated seasonal variability. This work is part of a larger study to understand the seasonal variability in the fraction of refractory organic carbon in primary marine aerosol at the BATS station.\n\ncdm_data_type = Other\nVARIABLES:\nCruise_ID (unitless)\nSample_Type (unitless)\nSample_ID (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\nChloride_Ion (nmol/m3 air sampled)\nBromide_Ion (nmol/m3 air sampled)\nSulfate_Ion (nmol/m3 air sampled)\nSodium_Ion (nmol/m3 air sampled)\nPotassium_Ion (nmol/m3 air sampled)\nMagnesium_Ion (nmol/m3 air sampled)\nCalcium_Ion (nmol/m3 air sampled)\nISO_DateTime_Local_Start (unitless)\nISO_DateTime_Local_Stop (unitless)\ntime (Iso_datetime_utc_start, seconds since 1970-01-01T00:00:00Z)\nISO_DateTime_UTC_Stop (seconds since 1970-01-01T00:00:00Z)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_931318_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_931318_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_931318_v1/index.htmlTable https://www.bco-dmo.org/dataset/931318 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_931318_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_931318_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_931318_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_930111_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_930111_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_930111_v1/ public [Major inorganic ions in seawater near the BATS station, cruises AE2113 and AE2303] - Major inorganic ions from seawater collected near the BATS station during R/V Atlantic Explorer cruises AE2113 (July 2021) and AE2303 (January 2023) (Collaborative Research: Seasonal Variability in refractory dissolved organic carbon fluxes associated with primary marine aerosol emitted from the oceans) This dataset includes the concentrations of seven major inorganic ions determined in near surface (approximately 5 m) seawater samples collected from the Bermuda Atlantic Time-series Study (BATS) station during a summer cruise in 2021 (AE2113) and a winter cruise in 2023 (AE2303) aboard the R/V Atlantic Explorer. The major ions in each sample were quantified using a Dionex dual channel model ICS 6000 high-performance ion chromatograph (ICS-6000 DP). This dataset was generated and prepared by Dr. Lei Xue under the supervision of Dr. David Kieber at the State University of New York, College of Environmental Science and Forestry. These data were used to determine the enrichment factor of major ions in primary marine aerosol (PMA) samples and to calculate the enrichment factors of protein/peptides and carbohydrates in PMA samples relative to seawater and the associated seasonal variability. This work is part of a larger study to understand the seasonal variability in the fraction of refractory organic carbon in primary marine aerosol at the BATS station.\n\ncdm_data_type = Other\nVARIABLES:\nCruise_ID (unitless)\ntime (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\nCTD_filename (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\nStation (unitless)\nCast (unitless)\nCTD_Bottle (unitless)\nTemperature (degree Celsius)\ndepth (Sampling_depth, m)\nChloride_Ion (Part per thousand (ppt))\nBromide_Ion (Part per thousand (ppt))\nSulfate_Ion (Part per thousand (ppt))\nSodium_Ion (Part per thousand (ppt))\nPotassium_Ion (Part per thousand (ppt))\nMagnesium_Ion (Part per thousand (ppt))\nCalcium_Ion (Part per thousand (ppt))\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_930111_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_930111_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_930111_v1/index.htmlTable https://www.bco-dmo.org/dataset/930111 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_930111_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_930111_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_930111_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_988595_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_988595_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_988595_v1/ public [Mangrove x-ray absorbance spectroscopy] - Speciation of sulfur in sediment, dissolved organic matter, and biogenic material determined by x-ray absorbance spectroscopy of samples collected at two mangrove locations in June 2022 through February 2024 (Carbon Storage in Mangrove Ecosystems via Abiotic Sulfurization) Here we provide data on the the speciation of sulfur from sediment, dissolved organic matter, and biogenic material from mangrove ecosystems in the Caribbean and Florida collected over two field seasons in 2022 and 2024. These data will be useful for those interested in understanding organic matter sulfurization in blue carbon ecosystems such as mangroves. The data will also be informative for researchers investigating organic sulfur cycling. Samples were collected by Lena Capece and Morgan Raven, and data were interpreted by Lena Capece and Morgan Raven.\n\ncdm_data_type = Other\nVARIABLES:\nname (unitless)\ntype (unitless)\nsite (unitless)\nlatitude (degrees_north)\nlongitude (Long, degrees_east)\nsample_descrip (Depth, cm or unitless)\nhabitat (unitless)\ntreatment (unitless)\npyrite (unitless (percent, %))\nsulfur (unitless (percent, %))\naromatic (unitless (percent, %))\ndisulfide (unitless (percent, %))\nmonosulfide (unitless (percent, %))\nsulfoxide (unitless (percent, %))\nsulfonate (unitless (percent, %))\nester (unitless (percent, %))\nsulfate (unitless (percent, %))\nsum (unitless)\nchi (unitless)\nyear (unitless)\nmonth (unitless)\nYear_month (unitless)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_988595_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_988595_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_988595_v1/index.htmlTable https://osprey.bco-dmo.org/dataset/988595 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_988595_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_988595_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_988595_v1
log in [Manually annotated reef halos from 6 study areas] - Manually annotated reef halos based on sattelite imagery from 6 study areas as training and test data for a deep learning model (CAREER: Decoding seascape-scale vegetation patterns on coral reefs to understand ecosystem health: Integrating research and education from organismal to planetary scales) Reef halos are rings of bare sand that surround coral reef patches. Halo formation is likely to be the indirectly result of interactions between relatively healthy predator and herbivore populations. To reduce the risk of predation, herbivores preferentially graze close to the safety of the reef, potentially affecting the presence and size of the halo. Reef halos are readily visible in remotely sensed imagery, and monitoring their presence and changes in size may therefore offer clues as to how predator and herbivore populations are faring. However, manually identifying and measuring halos is slow and limits the spatial and temporal scope of studies. There are currently no existing tools to automatically identify single reef halos and measure their size to speed up their identification and improve our ability to quantify their variability over space and time. \n\nHere we present a set of convolutional neural networks aimed at identifying and measuring reef halos from very high-resolution satellite imagery (i.e., ∼0.6 m spatial resolution). We show that deep learning algorithms can successfully detect and measure reef halos with a high degree of accuracy (F1 = 0.824), thereby enabling faster, more accurate spatio-temporal monitoring of halo size. This tool will aid in the global study of reef halos, and potentially coral reef ecosystem monitoring, by facilitating our discovery of the ecological dynamics underlying reef halo presence and variability.\n\ncdm_data_type = Other\nVARIABLES:\nAOI (unitless)\nObject_Id (unitless)\nSkySate_image_ID (unitless)\nClassname (unitless)\nlatitude (Mean_latitude, degrees_north)\nlongitude (Mean_longitude, degrees_east)\nSubset (unitless)\n BCO-DMO bcodmo_dataset_932211_v1
log in [Marathon gas profiles Jun 2022] - Vertical gas concentrations in exposed carbonate sand beach in Marathon, FL measured on Jun 6th, 2022 (Quantification of sedimentary oxygen and carbon dioxide dynamics in a dry sandy beach affected by macroalgae deposition) This project addresses carbon conversion processes in sandy beaches. To assess gas concentration gradients between the atmsphere and the beach sediment, vertical gas concentration profiles were measured below the beach sediment surface. Gas (custom probes) and temperature probes (PT100) were placed at 2.5 cm above the sediment and at -5, -15 and -25 cm below the sediment surface. Pore gas was extracted from the sediment using a syringe pump (150 ml max. volume). Gas concentrations were measured with a Licor850. The instrument recorded CO2 concentration, (ppm) and H2O concentration, (ppt).\n\ncdm_data_type = Other\nVARIABLES:\nSite (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\nProfile (unitless)\nDate (unitless)\ntime_unitless (Time, unitless)\nISO_DateTime_Local (unitless)\ntime (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\ndepth (m)\nCO2 (Parts per million (ppm))\nH2O (Parts per thousand (ppt))\nTemperature (degrees Celsius)\nOxygen (Percent air saturation (% air saturation))\n BCO-DMO bcodmo_dataset_986654_v1
log in [Marna lab urchin morphometrics] - Purple sea urchin morphometrics from Marna Laboratory Experiments at the Quadra Island Ecological Observatory from Sep to Dec 2021 (Collaborative Research: The effects of marine heatwaves on reproduction, larval transport and recruitment in sea urchin metapopulations) These data include morphometrics of individual purple sea urchins, Strongylocentrotus purpuratus (urn:lsid:marinespecies.org:taxname:240747), involved in a multifactorial laboratory experiment at the Hakai Institute Quadra Island Ecological Observatory between 2021-09-15 and 2021-12-11. The experiment investigated impacts of contemporary high pCO2 and imposed dynamic historical temperature trends on multiple aspects of individual thermal performance. Morphometrics included test diameter and height, overall wet mass, gonad wet mass, overall dry mass, gonad dry mass, overall ash mass, and gonad ash mass. Test dimensions were measured using digital calipers (Mitutoyo America Corporation®, Aurora IL, USA). Mass measurements were made using a calibrated digital scale (Mettler-Toledo, LLC., Columbus, OH, USA). Ocean warming and acidification threaten the stability of foundation species not just through direct physiological stress, but also indirectly via impacts on primary consumption. However, the effects of these drivers on this critical ecological interaction may not be generalizable due to complex energetic impacts on both consumers and their resource(s). Therefore, understanding consumer responses to multiple drivers and dynamic conditions are especially important for key taxa, such as S. purpuratus, which exert strong grazing impacts on kelp forests. All animals were simultaneously collected from Ucluelet, British Columbia, Canada (48° 56.604N, 125° 34.699W) from a depth of 7-8 m relative to mean low tide on 3 September 2021 using SCUBA and immediately transported to the Marna Laboratory flow through seawater system. Animals were haphazardly selected and assigned to the \"Wild\" group or \"Experimental\" group (and thereafter treatments) from this pool.\n\ncdm_data_type = Other\nVARIABLES:\ndate (unitless)\ntemp (degrees Celsius)\npco2_h_l (unitless)\ntank_id (unitless)\npit_tag_id (unitless)\ndiam (Millimeters (mm))\nht (Millimeters (mm))\ncrack_mass (grams)\nwet_gonad_mass (grams)\n... (8 more variables)\n BCO-DMO bcodmo_dataset_963419_v1
log in [Marna Laboratory urchin histological scores] - Histological gonad reproductive scores for purple sea urchins from experiments at the Quadra Island Ecological Observatory from Sep to Dec 2021 (Collaborative Research: The effects of marine heatwaves on reproduction, larval transport and recruitment in sea urchin metapopulations) These data include histological scores of individual purple sea urchins, Strongylocentrotus purpuratus (urn:lsid:marinespecies.org:taxname:240747), involved in a multifactorial laboratory experiment at the Hakai Institute Quadra Island Ecological Observatory between 2021-09-20 and 2021-12-06. These data include histological analysis associated with animals in the related dataset (Okamoto et al. 2026), which contains associated data for each animal and which is linked via the HISTO_CASETTE_NO parameter in each dataset. The experiment investigated impacts of contemporary high pCO2 and imposed dynamic historical temperature trends (21-18 °C mimicking a historical El Nino and 18-14 °C mimicking a historical La Nina) on multiple aspects of individual thermal performance as well as constant temperatures (10, 13, 16, 17, 18 , and 20 °C). All animals were simultaneously collected from Ucluelet, British Columbia, Canada (48° 56.604N, 125° 34.699W) from a depth of 7-8 m relative to mean low tide on 3 September 2021 using SCUBA and immediately transported to the Marna Laboratory flow through seawater system. Animals were haphazardly selected and assigned to the \"Wild\" group or \"Experimental\" group (and thereafter treatments) from this pool.\n\ncdm_data_type = Other\nVARIABLES:\nHISTO_CASETTE_NO (unitless)\nsex (unitless)\ncat (unitless)\npco2_h_l (Parts per million (ppm))\ntreatment (unitless)\ntank_id (unitless)\ntemp_deg_c (degrees Celsius)\n BCO-DMO bcodmo_dataset_968848_v1
log in [Marsh channel monitoring data] - Continuously monitored water quality parameters from three open-water sites in a tidal salt marsh channel in New Jersey, USA from June 2021 to June 2024 (Sediment transport and water quality in watersheds and coastlines of the United States) This dataset includes high-frequency measurements of key physical and biogeochemical parameters (depth, salinity, temperature, dissolved oxygen concentration and % saturation, pH, turbidity, chlorophyll a) collected at 10-minute intervals from three open-water platforms in a salt marsh tidal channel. The marsh is located landward of Seven Mile Island, a populated barrier island in Cape May County, New Jersey, and is a part of the Seven Mile Island Innovation Laboratory (SMIIL), a research initiative focused on advancing dredging and marsh restoration practices. Data were collected using In-Situ Aqua TROLL 600 multiparameter sondes, which were cleaned, recalibrated, and swapped every 4–12 weeks to enable continuous monitoring. Turbidity and chlorophyll a data are included but have highly variable coverage. The dataset comprises 18 deployments, which have been appended and quality controlled. Meteorological data (air temperature, relative humidity, atmospheric pressure) from a centrally located Young ResponseONE Weather Transmitter and Onset HOBO water level logger, along with ERA5 wind speed data, are provided for the same time period. This high-resolution, multi-year dataset supports the analysis of aquatic ecosystem metabolism and environmental variability in a marsh-dominated estuary, a system type that remains underrepresented in long-term, high-frequency monitoring efforts.\n\ncdm_data_type = Other\nVARIABLES:\ntime (Datetime_utc, seconds since 1970-01-01T00:00:00Z)\nsite (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\ndepth (m)\nsalinity (psu)\ntemperature (degrees Celsius)\nDOconc (μmol/L)\nDOsat (percent (%))\npH (pH Scale)\nchla (Relative Fluorescence Units (RFU))\nturbidity (Nephelometric Turbidity Unit (NTU))\nTair (degrees Celsius)\nrhumid (percent (%))\npatm (hPa)\nwspd (m/s)\n BCO-DMO bcodmo_dataset_971943_v1
log in [Mask R-CNN and U-Net models and reef halo ouput calculations] - Mask R-CNN and U-Net model and output of coral reef halo measurements based on global multispectral satellite imagery (CAREER: Decoding seascape-scale vegetation patterns on coral reefs to understand ecosystem health: Integrating research and education from organismal to planetary scales) Reef halos are rings of bare sand that surround coral reef patches. Halo formation is likely to be the indirectly result of interactions between relatively healthy predator and herbivore populations. To reduce the risk of predation, herbivores preferentially graze close to the safety of the reef, potentially affecting the presence and size of the halo. Reef halos are readily visible in remotely sensed imagery, and monitoring their presence and changes in size may therefore offer clues as to how predator and herbivore populations are faring. However, manually identifying and measuring halos is slow and limits the spatial and temporal scope of studies. There are currently no existing tools to automatically identify single reef halos and measure their size to speed up their identification and improve our ability to quantify their variability over space and time. \n\nHere we present a set of convolutional neural networks aimed at identifying and measuring reef halos from very high-resolution satellite imagery (i.e., ∼0.6 m spatial resolution). We show that deep learning algorithms can successfully detect and measure reef halos with a high degree of accuracy (F1 = 0.824), thereby enabling faster, more accurate spatio-temporal monitoring of halo size. This tool will aid in the global study of reef halos, and potentially coral reef ecosystem monitoring, by facilitating our discovery of the ecological dynamics underlying reef halo presence and variability.\n\ncdm_data_type = Other\nVARIABLES:\nAOI (unitless)\nobject_id (unitless)\nhArea_m2 (square meter (m2))\nrArea_m2 (square meter (m2))\nlog_hArea_m2 (square meter (m2))\nlog_rArea_m2 (square meter (m2))\n BCO-DMO bcodmo_dataset_943698_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_983645_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_983645_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_983645_v1/ public [Mass spectrometry data Galveston Bay] - Chemical composition of dissolved organic matter (DOM) determined by mass spectrometry from samples collected in Galveston Bay, Texas, USA in September 2017 (Collaborative Research: Distribution and Cycling of Carboxyl-Rich Alicyclic Molecules (CRAM) in the Ocean) These data describe the chemical composition of dissolved organic matter (DOM) in Galveston Bay, Texas, USA. Samples were collected from August to September 2017 across a salinity gradient.\n\ncdm_data_type = Other\nVARIABLES:\nMass (m/z)\nC (unitless)\nH (unitless)\nO (unitless)\nN (unitless)\nC13 (unitless)\nS (unitless)\nP (unitless)\nNa (unitless)\nElemental_composition (unitless)\nNeutralMass (m/z)\nH1_9_4_2017 (unitless)\nH4_9_4_2017 (unitless)\nH10_9_4_2017 (unitless)\nH1_9_9_2017 (unitless)\nH10_9_9_2017 (unitless)\nH1_9_16_2017 (unitless)\nH4_9_16_2017 (unitless)\nH7_9_16_2017 (unitless)\nH10_9_16_2017 (unitless)\nH1_9_21_2017 (unitless)\nH4_9_21_2017 (unitless)\nH7_9_21_2017 (unitless)\nH10_9_21_2017 (unitless)\nH1_9_28_2017 (unitless)\nH4_9_28_2017 (unitless)\nH10_9_28_2017 (unitless)\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_983645_v1/index.htmlTable https://osprey.bco-dmo.org/dataset/983645 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_983645_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_983645_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_983645_v1
log in [MAZ-1E-04 age model in the eastern Pacific during the last deglaciation] - Age model built from planktic foraminifera radiocarbon in the eastern Pacific during the last deglaciation determined from core MAZ-1E-04 collected on cruise MAZ-I aboard the R/V El Puma in April 2015 (Glacial-Interglacial Changes in Oxygen Minimum Zones Using Deep-Dwelling, Low-Oxygen Planktic Foraminifera) The structure and drivers of oxygen minimum zone (OMZ) evolution in the Eastern Tropical North Pacific (ETNP) are investigated from ~20.7-10 ka using a multi-proxy approach from core MAZ-1E-04 (22°54.29'N, 106°54.59'W; 1463 m depth). Understanding how OMZ vertical structure changed during past glacial/interglacial cycles will help elucidate the drivers and patterns of OMZ expansion/contraction on longer timescales. \n\nHere, the age model built from planktic foraminifera radiocarbon and calibrated with marine reservoir ages and the intcal20 calibration curve, based on samples from core MAZ-1E-04 collected on cruise MAZ-I aboard the R/V El Puma in April 2015, is used to investigate multiple geochemical proxies over the last deglaciation. Universidad Nacional Autónoma de México financed ship time and M. Alejandro Rodríguez Ramírez directed the oceanographic campaign to retrieve the core.\n\ncdm_data_type = Other\nVARIABLES:\nDepth_core (centimeter (cm))\nMean_Age (years before present (yr BP))\nAge_model_1_SD (years before present (yr BP))\nMedian (years before present (yr BP))\n BCO-DMO bcodmo_dataset_991455_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_675187_v2 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_675187_v2.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_675187_v2/ public [McMurdo Sound sea ice thickness] - Sea ice parameters near McMurdo Station, Antarctica from 1986 to 2013 (Food web dynamics in an intact ecosystem: the role of top predators in McMurdo Sound) This dataset contains sea ice thickness, sea ice temperature, and air temperature at the sea ice runway near McMurdo Station, Antarctica, from 1986-2013.\n\ncdm_data_type = Other\nVARIABLES:\nlat_approx (degrees_north)\nlongitude (Lon_approx, degrees_east)\ndate (unitless)\nyear (unitless)\nmonth (unitless)\nday (unitless)\nice_thickness_median (centimeters)\nice_temp_median (degrees Celsius)\nair_temp (degrees Celsius)\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_675187_v2/index.htmlTable https://www.bco-dmo.org/dataset/675187 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_675187_v2.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_675187_v2&showErrors=false&email= BCO-DMO bcodmo_dataset_675187_v2
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_922037_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_922037_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_922037_v1/ public [Measurements of treatment tub seawater conditions: pH and total alkalinity] - pH and total alkalinity measurements of treatment tub seawater during lab experiments conducted in spring 2022. (Influence of environmental pH variability and thermal sensitivity on the resilience of reef-building corals to acidification stress) Ocean acidification (OA) resulting from anthropogenic CO2 emissions is impairing the reproduction of marine organisms. While parental exposure to OA can protect offspring via carryover effects, this phenomenon is poorly understood in many marine invertebrate taxa. We examined how parental exposure to acidified (pH 7.40) versus ambient (pH 7.72) seawater influenced reproduction and offspring performance across six gametogenic cycles (13 weeks) in the estuarine sea anemone Nematostella vectensis. This dataset contains data resulting from measurements of treatment tub seawater conditions, including pH and total alkalinity.\n\ncdm_data_type = Other\nVARIABLES:\nDate (unitless)\nTreatment (unitless)\npH (Arbitrary on pH scale)\nmV (millivolts (mV))\nSalinity (unitless)\nTemperature (Degrees Celsius)\nTA_1 (umol/kg)\nTA_2 (umol/kg)\nTA_average (umol/kg)\nTA (mol/kg)\nAlkalinity (mol/kg*10^-3)\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_922037_v1/index.htmlTable https://www.bco-dmo.org/dataset/922037 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_922037_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_922037_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_922037_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_932975_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_932975_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_932975_v1/ public [Megafauna counts by taxon in image surveys at inactive sulfides on the East Pacific Rise] - Megafauna counts by taxon in images collected during three surveys (December 25, 2019, April 7 and 9, 2021) with deep-submergence vehicles at inactive sulfide mounds on the East Pacific Rise. (Collaborative Research: Life after Death: Do Inactive Sulfides Fuel a Unique Ecosystem at the Deep Seafloor?) This dataset includes counts by taxon for megafauna in images collected during surveys with deep-submergence vehicles at inactive sulfide mounds near the 9 50' N hydrothermal vent field on the East Pacific Rise. Images were collected with a down-looking digital still camera. We provide image areas for estimating megafauna density (counts per area of seafloor). Here we provide data from three surveys: one during HOV Alvin Dive 5044 at Lucky's Mound on 25 December 2019 on cruise AT42-21 and two during ROV Jason II Dives 1309 and 1311, on the oceanic rise (between Lucky's Mound and Sentry Spire) on 7 April 2021 and at Sentry Spire on 9 April 2021, respectively, on cruise RR2102. Megafauna were manually annotated to morphotype using ImageJ software. Morphotypes were identified to the lowest taxonomic level and assigned to a feeding mode. This dataset is provided in two formats: long-format comma-separated variable (csv) file and wide-format Excel (xlsx) file. This dataset is analyzed in a manuscript by Meneses et al. (2024).\n\ncdm_data_type = Other\nVARIABLES:\nFile_Name (unitless)\nSite (unitless)\nHabitat (unitless)\nCorrected_Area_m2 (meters squared)\nverbatimIdentification (unitless)\nFeeding_Mode (unitless)\nindividualCount (integer count)\nWoRMS_scientificName (unitless)\nWoRMS_scientificNameID (unitless)\neventDate (unitless)\nlatitude (Decimallatitude, degrees_north)\nlongitude (Decimallongitude, degrees_east)\ndepth (Depth_m, m)\nVehicle_Altitude_m (meters)\nAngleCategory (unitless)\nAdjustment_Value (unitless)\nUseable_Proportion_of_Image (unitless)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_932975_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_932975_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_932975_v1/index.htmlTable https://www.bco-dmo.org/dataset/932975 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_932975_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_932975_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_932975_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_959930_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_959930_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_959930_v1/ public [Mesocosm CB 2021 Light and Temperature] - Light and temperature data for mesocosm incubation experiment simulating a phytoplankton bloom in Chesapeake Bay August 2021 (Marine Diatom-Parasite Relationships in Upwelling Systems) A mesocosm experiment was performed in August 2021 on the R/V Hugh Sharp, cruise HRS2110, at a station near the mouth of Chesapeake Bay to simulate a phytoplankton bloom and to assess changes in assemblage and biogeochemical processes while excluding changes due to advection. Three 20-L carboys were filled with filtered bay water, inoculated with surface water and sampled daily for a week. Nutrient concentrations, nitrate and bicarbonate uptake rates, pigment concentrations and samples for 18S rRNA gene sequence analysis were collected once or more times per day. 15NO3- and H13CO3- tracer incubations were performed alongside pigment and DNA sampling to compare temporal trends in community composition and primary productivity (nitrogen (N) and carbon (C) transport rates). These results address the nature of phytoplankton blooms, and present a more complex relationship between bloom progression and phytoplankton diversity that usually assumed or detected by traditional methods. This dataset contains the light and temperature data logged for the three replicate mesocosms over the course of the simulated bloom. These data were collected by Jenna Lee from Princeton University.\n\ncdm_data_type = Other\nVARIABLES:\ntime (Datetime, seconds since 1970-01-01T00:00:00Z)\nTemp (degrees Celsius)\nLux (lux (lx))\nLogger (unitless)\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_959930_v1/index.htmlTable https://osprey.bco-dmo.org/dataset/959930 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_959930_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_959930_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_959930_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_959925_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_959925_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_959925_v1/ public [Mesocosm CB 2021 Nutrients] - Nutrient data for mesocosm incubation experiment simulating a phytoplankton bloom in Chesapeake Bay August 2021 (Marine Diatom-Parasite Relationships in Upwelling Systems) A mesocosm experiment was performed in August 2021 on the R/V Hugh Sharp, cruise HRS2110, at a station near the mouth of Chesapeake Bay to simulate a phytoplankton bloom and to assess changes in assemblage and biogeochemical processes while excluding changes due to advection. Three 20-L carboys were filled with filtered bay water, inoculated with surface water and sampled daily for a week. Nutrient concentrations, nitrate and bicarbonate uptake rates, pigment concentrations and samples for 18S rRNA gene sequence analysis were collected once or more times per day. 15NO3- and H13CO3- tracer incubations were performed alongside pigment and DNA sampling to compare temporal trends in community composition and primary productivity (nitrogen (N) and carbon (C) transport rates). These results address the nature of phytoplankton blooms, and present a more complex relationship between bloom progression and phytoplankton diversity that usually assumed or detected by traditional methods. This dataset contains the nutrient data for the three replicate mesocosms over the course of the simulated bloom. These data were collected by Jenna Lee from Princeton University.\n\ncdm_data_type = Other\nVARIABLES:\nSamp_No (unitless)\nCarboy (unitless)\nRep (unitless)\nDate_Local (unitless)\nTime_Local (unitless)\ntime (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\nNitrite (micromolar (µM))\nNitrate (micromolar (µM))\nPhosphate (micromolar (µM))\nSilicate (micromolar (µM))\nNotes (unitless)\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_959925_v1/index.htmlTable https://osprey.bco-dmo.org/dataset/959925 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_959925_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_959925_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_959925_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_959920_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_959920_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_959920_v1/ public [Mesocosm CB 2021 Pigments] - Pigment concentration data for mesocosm incubation experiment simulating a phytoplankton bloom in Chesapeake Bay August 2021 (Marine Diatom-Parasite Relationships in Upwelling Systems) A mesocosm experiment was performed in August 2021 on the R/V Hugh Sharp, cruise HRS2110, at a station near the mouth of Chesapeake Bay to simulate a phytoplankton bloom and to assess changes in assemblage and biogeochemical processes while excluding changes due to advection. Three 20-L carboys were filled with filtered bay water, inoculated with surface water and sampled daily for a week. Nutrient concentrations, nitrate and bicarbonate uptake rates, pigment concentrations and samples for 18S rRNA gene sequence analysis were collected once or more times per day. 15NO3- and H13CO3- tracer incubations were performed alongside pigment and DNA sampling to compare temporal trends in community composition and primary productivity (nitrogen (N) and carbon (C) transport rates). These results address the nature of phytoplankton blooms, and present a more complex relationship between bloom progression and phytoplankton diversity that usually assumed or detected by traditional methods. This dataset contains the measured pigment concentrations for the three replicate mesocosms over the course of the simulated bloom. These data were collected by Jenna Lee from Princeton University.\n\ncdm_data_type = Other\nVARIABLES:\nSamp_No (unitless)\nCarboy (unitless)\nRep (unitless)\nDay (day)\nDate_Local (unitless)\nTime_Local_Collected (unitless)\nTime_Local_Filtered (unitless)\ntime (Iso_datetime_utc_collection, seconds since 1970-01-01T00:00:00Z)\nSamp_Vol (liters)\nChl_c1c2 (micrograms of pigment  per liter (µg L-1))\nPerid (micrograms of pigment  per liter (µg L-1))\nButFuc_19 (micrograms of pigment  per liter (µg L-1))\nFuco (micrograms of pigment  per liter (µg L-1))\nHexFuc_19 (micrograms of pigment  per liter (µg L-1))\nZeax (micrograms of pigment  per liter (µg L-1))\n... (4 more variables)\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_959920_v1/index.htmlTable https://osprey.bco-dmo.org/dataset/959920 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_959920_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_959920_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_959920_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_959935_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_959935_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_959935_v1/ public [Mesocosm CB 2021 Uptake Rates] - Nitrogen and carbon uptake rates for mesocosm incubation experiment simulating a phytoplankton bloom in Chesapeake Bay August 2021 (Marine Diatom-Parasite Relationships in Upwelling Systems) A mesocosm experiment was performed in August 2021 on the R/V Hugh Sharp, cruise HRS2110, at a station near the mouth of Chesapeake Bay to simulate a phytoplankton bloom and to assess changes in assemblage and biogeochemical processes while excluding changes due to advection. Three 20-L carboys were filled with filtered bay water, inoculated with surface water and sampled daily for a week. Nutrient concentrations, nitrate and bicarbonate uptake rates, pigment concentrations and samples for 18S rRNA gene sequence analysis were collected once or more times per day. 15NO3- and H13CO3- tracer incubations were performed alongside pigment and DNA sampling to compare temporal trends in community composition and primary productivity (nitrogen (N) and carbon (C) transport rates). These results address the nature of phytoplankton blooms, and present a more complex relationship between bloom progression and phytoplankton diversity that usually assumed or detected by traditional methods. This dataset contains the measured nitrogen and carbon uptake rates for the three replicate mesocosms over the course of the simulated bloom. These data were collected by Jenna Lee from Princeton University.\n\ncdm_data_type = Other\nVARIABLES:\nSamp_ID (unitless)\nCarboy (unitless)\nRep (unitless)\nDate_Local (unitless)\nTracer_Vol_13C (milliliters (mL))\nTracer_Vol_15N (milliliters (mL))\nTime_Local_Collected (unitless)\nTime_Local_Added (unitless)\nTime_Local_Filtered (unitless)\nSamp_Vol (milliliters)\nRinse (unitless)\nPOC (micromolar (µM))\nPON (micromolar (µM))\nC_transport (micromolar per day (µM d-1)))\nN_transport (micromolar per day (µM d-1)))\nNotes (unitless)\ntime (Iso_datetime_utc_collected, seconds since 1970-01-01T00:00:00Z)\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_959935_v1/index.htmlTable https://osprey.bco-dmo.org/dataset/959935 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_959935_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_959935_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_959935_v1
log in [Mesocosm Experiments: Buoyant weights] - Buoyant weight data collected during acute and chronic stress exposures in outdoor mesocosms in Hawaii from January 2022 to March 2024 (Collaborative Research: Reevaluating calcification response to changes in seawater chemistry by testing the Proton Flux Hypothesis and the Coral Metabolism Model) Coral buoyant weight data collected from Montipora capitata (urn:lsid:marinespecies.org:taxname:287697) and Pocillopora acuta (urn:lsid:marinespecies.org:taxname:759099) during acute and chronic stress exposures in outdoor mesocosms in Hawaii from January 2022 to March 2024.\n\nThis dataset includes demographic data (date measure was taken, experiment number, time point, season experiment was conducted in, treatment, mesocosm number, species code, coral individual) and corresponding buoyant weight value. \n\nStudy description (discusses related data collected during the experiment):\nThis project examined the fundamental connections between seawater chemistry and coral physiology by investigating the modulation of seawater chemistry in the microenvironment surrounding corals. Coral biological response variables were quantified during short-term incubations and long-term mesocosm manipulations to understand physiological implications across multiple scales (i.e., individual and community scales) and across boundary layers. This project generated several datasets to investigate coral response (biological and physiological), community response (ecosystem), environmental characteristics (water quality and seawater chemistry), and calibration data for quality control and standardization (see \"Related Datasets\" and \"Supplemental Files\" sections). All datasets are provided in .csv format for broad-scale accessibility and use. All biological data includes demographic variables to describe the experiment (experiment number, season experiment was conducted in, mesocosm number coral was held in, species code, coral individual number, and time point), while all water data includes a different set of demographic data (experiment number, season experiment was conducted in, and date measurements were taken). All datasets are organized in tidy format with each row equating to a single measurement and each column a separate variable.\n\ncdm_data_type = Other\nVARIABLES:\ndate (unitless)\nexperiment (unitless)\ntp (unitless)\n... (6 more variables)\n BCO-DMO bcodmo_dataset_995474_v1
log in [Mesocosm Experiments: Coral biological data] - Coral biological data collected during acute and chronic stress exposures in outdoor mesocosms in Hawaii from January 2022 to March 2024 (Collaborative Research: Reevaluating calcification response to changes in seawater chemistry by testing the Proton Flux Hypothesis and the Coral Metabolism Model) Coral biological data collected from Montipora capitata (urn:lsid:marinespecies.org:taxname:287697) and Pocillopora acuta (urn:lsid:marinespecies.org:taxname:759099) during acute and chronic stress exposures in outdoor mesocosms in Hawaii from January 2022 to March 2024.\n\nThis dataset includes demographic information about the experiment (Experiment number, season experiment took place in, mesocosm number, species code, coral individual, and time point) as well as measured biological variables (chlorophyll a concentration, chlorophyll c concentration, protein concentration, symbiont density, skeleton density, surface area, total sample volume, dilution factor for chlorophyll, dilution factor for protein, and dilution factor for symbionts). \n\nStudy description (discusses related data collected during the experiment):\nThis project examined the fundamental connections between seawater chemistry and coral physiology by investigating the modulation of seawater chemistry in the microenvironment surrounding corals. Coral biological response variables were quantified during short-term incubations and long-term mesocosm manipulations to understand physiological implications across multiple scales (i.e., individual and community scales) and across boundary layers. This project generated several datasets to investigate coral response (biological and physiological), community response (ecosystem), environmental characteristics (water quality and seawater chemistry), and calibration data for quality control and standardization (see \"Related Datasets\" and \"Supplemental Files\" sections). All datasets are provided in .csv format for broad-scale accessibility and use. All biological data includes demographic variables to describe the experiment (experiment number, season experiment was conducted in, mesocosm number coral was held in, species code, coral individual number, and time point), while all water data includes a different set of demographic data (experiment number, season experiment was conducted in, and date measurements were taken). All datasets are organized in tidy format with each row equating to a single measurement and each column a separate variable.\n\ncdm_data_type = Other\nVARIABLES:\nexperiment (unitless)\nseason (unitless)\n... (15 more variables)\n BCO-DMO bcodmo_dataset_995164_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_995681_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_995681_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_995681_v1/ public [Mesopelagic decay experiments: Biochemical decay rates] - Biochemical decay rates from mesopelagic decay experiments with Thalassiosira weissflogii, Emiliania huxleyii, and Tetraselmis sp. (Collaborative Research: Transforming Carbon in the Deep Sea) The mesopelagic zone is a site of strong microbially driven particle attenuation with depth and thus plays a crucial role in controlling the transfer efficiency of the ocean's biological pump. However, little quantitative information exists on the dependency of decay processes on the source material. Here we followed the decay of 14C-labeled dead particulate carbon (POC) and dissolved organic carbon (DOC) from three different phytoplankton species, and two incubations of live diatoms, in mesopelagic water over three months. Commonly used first-order kinetics failed to adequately describe the decay of organic material as rate constants varied from day to day. Over extended periods, decay rates for organic material exhibited two distinct phases, with rates in the second phase being inversely related to rates in the first phase. Microbial biomass (measured via ATP and cell counts) increased substantially during phase 1 and ebbed during phase 2. Decay rates were significantly different among the three algal sources; however, differences were even more pronounced among carbon pools and followed a distinct pattern (combined average per-day decay rates at 12 degrees Celsius): fresh DOC (0.6) > fresh POC (0.1) > live cells (0.06) > aged DOC/POC (0.01). Separation of POC into four broad biochemical fractions showed that components in the operationally defined lipid fraction contained the most degradable compounds for fresh material. Our research highlights the need to include the dynamics of the most easily digestible fractions of freshly released organic material, and live plankton resilient to digestion, in calculations of vertical carbon flux budgets. \n\nThis dataset reports decay rates for particulate organic carbon (POC) and its biochemical fractions including proteins, polysaccharides, lipids, and low molecular weight compounds from mesopelagic decay experiments using three 14C-labeled algae (Thalassiosira weissflogii, Tetraselmis sp., and Emiliania huxleyi). See the \"Related Datasets\" section for complementary datasets from the same experiments.\n\ncdm_data_type = Other\nVARIABLES:\nExperiment (unitless)\nAlgal_substrate (unitless)\nCarbon_pool (unitless)\nInterval (TBD)\n... (13 more variables)\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_995681_v1/index.htmlTable https://osprey.bco-dmo.org/dataset/995681 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_995681_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_995681_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_995681_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_995521_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_995521_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_995521_v1/ public [Mesopelagic decay experiments: Biochemical percentages] - Biochemical percentages (protein, polysaccharides, and lipids) from mesopelagic decay experiments with Thalassiosira weissflogii, Emiliania huxleyii, and Tetraselmis sp. (Collaborative Research: Transforming Carbon in the Deep Sea) The mesopelagic zone is a site of strong microbially driven particle attenuation with depth and thus plays a crucial role in controlling the transfer efficiency of the ocean's biological pump. However, little quantitative information exists on the dependency of decay processes on the source material. Here, we followed the decay of 14C-labeled dead particulate carbon (POC) and dissolved organic carbon (DOC) from three different phytoplankton species, and two incubations of live diatoms, in mesopelagic water over three months. Commonly used first-order kinetics failed to adequately describe the decay of organic material as rate constants varied from day to day. Over extended periods, decay rates for organic material exhibited two distinct phases, with rates in the second phase being inversely related to rates in the first phase. Microbial biomass (measured via ATP and cell counts) increased substantially during phase 1 and ebbed during phase 2. Decay rates were significantly different among the three algal sources; however, differences were even more pronounced among carbon pools and followed a distinct pattern (combined average per-day decay rates at 12 degrees Celsius): fresh DOC (0.6) > fresh POC (0.1) > live cells (0.06) > aged DOC/POC (0.01). Separation of POC into four broad biochemical fractions showed that components in the operationally defined lipid fraction contained the most degradable compounds for fresh material. Our research highlights the need to include the dynamics of the most easily digestible fractions of freshly released organic material, and live plankton resilient to digestion, in calculations of vertical carbon flux budgets.\n\nThis dataset contains measurements of the percentage of 14C remaining over time in three biochemical fractions (protein, polysaccharides, and lipids) derived from particulate organic carbon (POC) in mesopelagic decay experiments using three different 14C-labeled algae (Thalassiosira weissflogii, Tetraselmis sp., and Emiliania huxleyi). See the \"Related Datasets\" section for complementary datasets from the same experiments.\n\ncdm_data_type = Other\nVARIABLES:\nExperiment (unitless)\nAlgal_substrate (unitless)\nCarbon_pool (unitless)\nElapsed_days (days)\n... (9 more variables)\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_995521_v1/index.htmlTable https://osprey.bco-dmo.org/dataset/995521 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_995521_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_995521_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_995521_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_995456_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_995456_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_995456_v1/ public [Mesopelagic decay experiments: bulk 14C, ATP, and prokaryote and protist abundances] - Bulk percentage of 14C, ATP, prokaryote and protist abundances from mesopelagic decay experiments with Thalassiosira weissflogii, Emiliania huxleyi, and Tetraselmis sp. (Collaborative Research: Transforming Carbon in the Deep Sea) The mesopelagic zone is a site of strong microbially driven particle attenuation with depth and thus plays a crucial role in controlling the transfer efficiency of the ocean's biological pump. However, little quantitative information exists on the dependency of decay processes on the source material. Here, we followed the decay of 14C-labeled dead particulate carbon (POC) and dissolved organic carbon (DOC) from three different phytoplankton species, and two incubations of live diatoms, in mesopelagic water over three months. Commonly used first-order kinetics failed to adequately describe the decay of organic material as rate constants varied from day to day. Over extended periods, decay rates for organic material exhibited two distinct phases, with rates in the second phase being inversely related to rates in the first phase. Microbial biomass (measured via ATP and cell counts) increased substantially during phase 1 and ebbed during phase 2. Decay rates were significantly different among the three algal sources; however, differences were even more pronounced among carbon pools and followed a distinct pattern (combined average per-day decay rates at 12 degrees Celsius): fresh DOC (0.6) > fresh POC (0.1) > live cells (0.06) > aged DOC/POC (0.01). Separation of POC into four broad biochemical fractions showed that components in the operationally defined lipid fraction contained the most degradable compounds for fresh material. Our research highlights the need to include the dynamics of the most easily digestible fractions of freshly released organic material, and live plankton resilient to digestion, in calculations of vertical carbon flux budgets. \n \nThis dataset includes bulk percent remaining 14C, ATP concentrations, and prokaryote and protist abundances, and instantaneous decay rate calculations from mesopelagic decay experiments using three different 14C-labeled algae (Thalassiosira weissflogii, Tetraselmis sp., and Emiliania huxleyi). See the \"Related Datasets\" section for complementary datasets from the same experiments.\n\ncdm_data_type = Other\nVARIABLES:\nExperiment (unitless)\nAlgal_substrate (unitless)\nCarbon_pool (unitless)\nElapsed_days (days)\nPcnt_14C_flask1 (percent (%))\n... (17 more variables)\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_995456_v1/index.htmlTable https://osprey.bco-dmo.org/dataset/995456 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_995456_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_995456_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_995456_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_949666_v1 https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_949666_v1/ public [Metadata for longread sequencing of Carcinus maenas] - Metadata for longread sequencing of Carcinus maenas collected from Buzzard's Bay, Massachusetts from May 2022 to Aug 2022 (Collaborative Research: Tracking fine-scale selection to temperature at the invasion front of a highly dispersive marine predator) This project explores genomic changes in the invasive European green crab (Carcinus maenas), including at a putative inversion polymorphism. To begin to explore structural variation without a reference genome, we conducted semi-targeted longread sequencing of the C. maenas genome using MinION sequencing. This dataset includes individual metadata for 6 raw MinION reads, archived at GenBank's SRA under BioProject PRJNA1171011. This sequencing was conducted using crabs from Massachusetts waters.\n\ncdm_data_type = Other\nVARIABLES:\nsample_name (unitless)\nCollection_date (unitless)\nSRA_accession (unitless)\nbiosample_accession (unitless)\nembayment (unitless)\nstate (unitless)\nsex (unitless)\nlife_stage (unitless)\nrun_ID (unitless)\nsequencing_date (unitless)\nrun_day (days)\nprobe_set (unitless)\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_949666_v1/index.htmlTable https://www.bco-dmo.org/dataset/949666 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_949666_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_949666_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_949666_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_949682_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_949682_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_949682_v1/ public [Metadata for RNASeq of green crabs in the northeast Pacific] - Metadata for RNASeq of green crabs collected in the northeast Pacific from Apr 2017 to Aug 2021 (Collaborative Research: Tracking fine-scale selection to temperature at the invasion front of a highly dispersive marine predator) This project explores genomic changes in the invasive European green crab (Carcinus maenas) in the northeast Pacific. It tracks the earliest stages of green crab invasion into a new environment where the species is predicted to have substantial ecological and economic impacts. Samples span time and space across the species range in the northeast Pacific, with a focus on areas where the species is currently expanding. This dataset includes individual metadata for 127 raw RNA-Seq reads, archived at GenBank's SRA under BioProject PRJNA1170986.\n\ncdm_data_type = Other\nVARIABLES:\nsample_name (unitless)\nSRA_accession (unitless)\nbiosample_accession (unitless)\nembayment (unitless)\nsite (unitless)\nstate (unitless)\nsex (unitless)\nsize_CW (Millimeters (mm))\ncolor (unitless)\ncollection_date (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\ncollector (unitless)\ncollector_affiliation (unitless)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_949682_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_949682_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_949682_v1/index.htmlTable https://www.bco-dmo.org/dataset/949682 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_949682_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_949682_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_949682_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_949610_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_949610_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_949610_v1/ public [Metadata for targeted genotyping of green crabs in the northeast Pacific] - Metadata for targeted genotyping of green crabs collected in the northeast Pacific from Aug 2016 to Oct 2022 (Collaborative Research: Tracking fine-scale selection to temperature at the invasion front of a highly dispersive marine predator) This project explores genetic changes in the invasive European green crab (Carcinus maenas) in the northeast Pacific, using targeted genotyping of SNPs identified in prior high-resolution population genomics in the region. It tracks the early stages of green crab invasion into a new environment, particularly through repeated sampling of multiple size-classes of crabs from the same sites over multiple years. Samples span time and space across the species range in the northeast Pacific, with a focus on the coast of Washington and Oregon. This dataset includes individual collection and accession metadata for 1,662 crabs, for which raw demultiplexed reads are archived at GenBank's SRA under BioProject PRJNA1177418.\n\ncdm_data_type = Other\nVARIABLES:\nsample_name (unitless)\nSRA_accession (unitless)\nbiosample_accession (unitless)\nembayment (unitless)\nsite (unitless)\nstate (unitless)\nsex (unitless)\nsize_CW (Millimeters (mm))\ncolor (unitless)\ncollection_date (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\ncollector (unitless)\ncollector_affiliation (unitless)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_949610_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_949610_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_949610_v1/index.htmlTable https://www.bco-dmo.org/dataset/949610 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_949610_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_949610_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_949610_v1
log in [Metadata from meta-analysis on CovGE in phenotypic results] - Metadata for studies from meta-analysis investigating covariance between genetic and environmental (CovGE) effects in phenotypic results (RCN: Evolution in Changing Seas) Covariance can exist between the genetic and environmental influences on phenotype (CovGE) and can have an important role in ecological and evolutionary processes in nature and population responses to environmental change. CovGE is commonly called countergradient variation (CnGV; negative CovGE)or cogradient variation (CoGV; positive CovGE)and has been recognized in classic studies that have established several long-standing hypotheses about CnGV and CoGV. For instance, it is hypothesized that CnGV is more prevalent in nature than CoGV, that CnGV is more prevalent in fish, amphibian, and invertebrate taxa, across latitudinal or altitudinal environmental gradients, and more frequently occurs in metabolic compensation traits, including development, growth, feeding, metabolism, and activity, while CoGV is more commonly observed in morphological traits. The recent development of a standardized method to measure CovGE allows for the first rigorous quantitative exploration of these hypotheses. We use meta-analysis and apply the novel quantitative method to test whether the above hypotheses are supported in the literature. We found no differences in frequency of CnGV and CoGV, and no systematic patterns relative to taxa, environmental gradient, or trait type. However, our analyses suggest that CovGE may be as common as gene by environment (GxE) interactions. Given that CovGE is likely to have a strong impact on future outcomes for organisms experiencing environmental change, that significant CovGE occurred frequently, and the lack of systematic patterns in the occurrence of CovGE, we encourage a more widespread application of measuring CovGE.\n\ncdm_data_type = Other\nVARIABLES:\nSTUDY_ID (unitless)\nFirst_Author (unitless)\nData_file_name (unitless)\nG_match_E (unitless)\nnatural_env_type (unitless)\nGxE_sig (unitless)\nphylum_division (unitless)\ngenus (unitless)\nspecies (unitless)\ngen_number (unitless)\n... (19 more variables)\n BCO-DMO bcodmo_dataset_877414_v2
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_936069_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_936069_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_936069_v1/ public [Metagenome and metatranscriptome sequences from deep-sea hydrothermal vent microbial communities] - Metagenome and metatranscriptome sequences from deep-sea hydrothermal vent microbial communities collected on cruises AT42-22, TN405, and NA108 from May 2019 to Jun 2022 (Collaborative Research: Microbes need frenemies: unveiling microbial relationships with protists and viruses that support deep-sea hydrothermal vent food webs) This dataset is a collection of sample metadata, identified for all samples, and NCBI accession information for samples and sequence runs produced as part of the \"Microbes need frenemies\" project. This project examines trophic interactions among microbial eukaryotes, viruses, bacteria, and archaea at deep-sea hydrothermal vents using metagenomics and metatranscriptomics and characterizes these ecologically-significant interactions, such as mutualism, predator-prey, or virus-host. \n\nWe sequenced samples collected during the 2020 expedition AT42-22 to the Mid-Cayman Rise hydrothermal vent fields, as well as from the 2019 expedition NA108 to the Gorda Ridge and the 2022 expedition TN405 to the Axial seamount. Sequencing targeted archaea, bacteria, and viruses with metagenomics and microbial eukaryotes with metatranscriptomics. We plan to use these data to identify ecologically-significant interactions among protists, viruses, bacteria, and archaea, with a specific emphasis on microbial mortality via viral lysis and eukaryotic grazing. Archived samples were also included in the analysis.\n\ncdm_data_type = Other\nVARIABLES:\nSAMPLE_ID (unitless)\nSHORT_SAMPLE_ID (unitless)\nSAMPLE_NAME (unitless)\nLAB_NUM (unitless)\nCRUISE_ID (unitless)\nFIELD_REGION (unitless)\nYEAR (unitless)\nFIELD_YEAR (unitless)\nVENT (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\nORIGIN_TYPE (unitless)\nORIGIN_DESCRIPTION (unitless)\nFRENEMIES_PROJ (unitless)\n... (11 more variables)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_936069_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_936069_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_936069_v1/index.htmlTable https://www.bco-dmo.org/dataset/936069 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_936069_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_936069_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_936069_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_998957_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_998957_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_998957_v1/ public [Metagenome from Gulf of Mexico] - Sample information for the metagenomes from the Gulf of Mexico collected on R/V Endeavor cruise EN509 in May 2012 (Collaborative Research: Microdiversity drives ecosystem function: SAR11 bacteria as models for oceanic nitrogen loss) This dataset includes sample information for the metagenomes from the Gulf of Mexico used in the Conrad et al. AEM 2026 study. Water samples were collected during CTD casts from the May 2012 R/V Endeavour cruise EN509 and shotgun metagenomes were sequenced from the surface (~3 meters (m)), the mixed layer (ML; 15-25m), the deep chlorophyll maximum (DCM; 70-90m), below the DCM but above the oxygen minimum zone (OMZ; 100-150m), and the OMZ (200-400m) from three stations in the northwest Gulf of Mexico on an Illumina MiSeq sequencer available at the Molecular Core of Georgia Tech. Raw sequences are available in the National Center for Biotechnology Information (NCBI) under BioProject number PRJNA291283.\n\ncdm_data_type = Other\nVARIABLES:\nAcession (unitless)\nSample_Name (unitless)\nVessel (unitless)\nCruise (unitless)\nOcean (unitless)\nDate (unitless)\nYear (unitless)\nMonth (unitless)\nDay (unitless)\nStation (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\nDescription (unitless)\ndepth (m)\nTemp (degrees Celsius)\nSalinity (PSU)\nDensity (sigma theta)\nFluoresence (milligrams per cubic meter (mg/m^3))\nOxygen (micromolar (uM))\nXmiss (ranging 0-100%.)\n... (18 more variables)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_998957_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_998957_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_998957_v1/index.htmlTable https://osprey.bco-dmo.org/dataset/998957 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_998957_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_998957_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_998957_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_998771_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_998771_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_998771_v1/ public [Metagenome from the Pacific Ocean OMZ] - Sample information and accession numbers for metagenome samples collected in the Eastern Tropical Pacific Oxygen Minimum Zone on R/V Sally Ride cruise SR2114 during December 2021 to January 2022 (Collaborative Research: Microdiversity drives ecosystem function: SAR11 bacteria as models for oceanic nitrogen loss) This dataset represents the shotgun metagenome samples used in used in Zhao et al., ISME J 2025. Samples for metagenomic sequencing were collected from the oxygen minimum zone in the Eastern Tropical Pacific Ocean during the R/V Sally Ride (SR2114) cruise, December 2021 – January 2022. Sea water was collected from all nine depths for all five sampling stations reported in the Zhao et al., paper (See Table for details). Collections were made using Niskin bottles on a rosette containing a conductivity–temperature–depth profiler (Sea-Bird SBE 911plus). DNA was extracted from biomass on collecting filters using the MoBio Power Soil kit (MoBio Inc. Carlsbad, CA, USA) and libraries were prepared for metagenomic sequencing using the Illumina DNA library prep kit with unique dual indexing according to manufacturer's instructions, except that the protocol was terminated after isolation of cleaned double stranded libraries. An equimolar mixture of the libraries was sequenced on an Illumina NovaSeq 6000 instrument at the Molecular Evolution Core, Georgia Institute of Technology. The shotgun metagenomes are available in the National Center for Biotechnology Information (NCBI) under BioProject number PRJNA1124864.\n\ncdm_data_type = Other\nVARIABLES:\nSample_ID (unitless)\nDNA_Concentration (micromoles per liter)\nDate_Sampled (unitless)\nDate_Extracted (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\ndepth (m)\nVolume_Filtered (milliliters (mL))\nStation (unitless)\nOxygen_Concentration (micromoles per kilogram)\nExperiment_Accession (unitless)\nInstrument (unitless)\nStudy_Accession (unitless)\nSample_Accession (unitless)\nBioproejct_number (unitless)\nTotal_Bases (number of bases)\nLibrary_Name (Matches Sample ID above plus another unique identifier.)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_998771_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_998771_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_998771_v1/index.htmlTable https://osprey.bco-dmo.org/dataset/998771 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_998771_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_998771_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_998771_v1
log in [Metagenome profiles of common emergent Caribbean sponges] - Metagenome profiles of common emergent Caribbean sponges collected from temporary artificial reef in the Florida Keys, USA in Jan 2022 (Collaborative Research: The Influence of Sponge Holobiont Metabolism on Coral Reef Dissolved Organic Matter and Reef Microorganisms) Sponges are prevalent on Caribbean coral reefs and are important filter-feeders that can influence seawater nutrient composition. This study examined the metagenome profiles of sponge species that were also used for examination of nutrient processing. The metagenome profiles (BioProject PRJNA1256488) showed convergence in several nitrogen pathways (e.g., dissimilatory, assimilatory nitrate reduction, denitrification) but differences in the taxonomic composition of those pathways. Additional analysis of the metagenome profiles is ongoing. Included in this dataset are accession information, collection metadata, and sample preparation data for common emergent Caribbean sponges collected from temporary artificial reef in the Florida Keys in January 2022.\n\ncdm_data_type = Other\nVARIABLES:\nAccession_Number (unitless)\nSample_Name (unitless)\nOrganism (unitless)\nSample_Preparation (unitless)\nCollection_Date (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\n BCO-DMO bcodmo_dataset_969228_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_945915_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_945915_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_945915_v1/ public [Metagenome sequencing samples] - Contextual data for samples collected for metagenome sequencing from the deep subseafloor biosphere as accessed via CORKs along the Juan de Fuca Ridge flank in the Northeast Pacific Ocean between 2008 and 2014 (Collaborative Research: Illuminating microbes and their viruses within the dark ocean crust through strain-level approaches) This dataset provides contextual information about samples used for metagenome sequencing. These samples were collected from pristine crustal fluids sampled via CORK observatories along the Juan de Fuca Ridge flank in the Northeast Pacific Ocean off the coast of North America. Also included are metadata for seawater and sediment metagenomes that have been sequenced as controls. All of the data are publicly available via the National Center for Biotechnology Information (NCBI) accession numbers provided in the dataset (BioProject numbers PRJNA655018 to PRJNA655040).\n\ncdm_data_type = Other\nVARIABLES:\nSample_Type (unitless)\nSample_Name (unitless)\nDNA_Isolation_Method (unitless)\nCollection_Date (unitless)\nCollection_Year (unitless)\nCollection_Month (unitless)\nCollection_Day (unitless)\nSample_Source (unitless)\nFluid_Delivery_Line (unitless)\nEnvironment (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\nDepth (msb)\nArea (unitless)\nFull_Sample_Name_and_Description (unitless)\nIMG_Genome_ID (unitless)\nNCBI_Bioproject_Accession (unitless)\nNCBI_Biosample_Accession (unitless)\nSRA_ID (unitless)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_945915_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_945915_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_945915_v1/index.htmlTable https://www.bco-dmo.org/dataset/945915 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_945915_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_945915_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_945915_v1
log in [Metagenomic samples] - Metagenomic sample information, genetic accession identifiers (NCBI SRA, JGI IMG), and estimated gene copies from Orcas Island coastal waters (2 m depth) in May and June of 2021 (Collaborative Research: Rhythm and Blooms: Deciphering metabolic, functional and taxonomic interactions over the life cycle of a phytoplankton bloom) This dataset contains NCBI Sequence Read Archive (SRA) accession numbers, DOE JGI Integrated Microbial Genomes & Microbiome (IMG/M) IDs, and estimated gene copies for metagenomic samples collected at Orcas Island, WA, USA Coastal Ocean (2m depth) from 5/27/21 to 6/18/21 collected as part of the following study.\n\nStudy abstract:\n\nFloating, single-celled algae, or phytoplankton, form the base of marine food webs. When phytoplankton have sufficient nutrients to grow quickly and generate dense populations, known as blooms, they influence productivity of the entire food web, including rich coastal fisheries. The present research explores how the environment (nutrients) as well as physical and chemical interactions between individual cells in a phytoplankton community and their associated bacteria act to control the timing of bloom events in a dynamic coastal ecosystem. The work reveals key biomolecules within the base of the food web that can inform food web functioning (including fisheries) and be used in global computational models that forecast the impacts of phytoplankton activities on global carbon cycling. A unique set of samples and data collected in 2021 and 2022 that captured phytoplankton and bacterial communities before, during, and after phytoplankton blooms, is analyzed using genomic methods and the results are used to interrogate these communities for biomolecules associated with blooms stages. The team mentors undergraduates, graduate students, and postdoctoral researchers in the fields of biochemical oceanography, genome sciences, and time-series multivariate statistics. University of Washington organized hackathons to develop publicly accessible portals for the simplified interrogation and visualization of &#39;omics data, accessible to high schoolers and undergraduates. These portals are implemented in investigator-led undergraduate teaching modules in the University of Rhode Island Ocean Classroom. The research team also returns to Orcas Island, WA, where the field sampling takes place, to host a series of annual Science Weekends to foster scientific engagement with the local community.\nPhytoplankton blooms, from initiation to decline, play vital roles in biogeochemical cycling by fueling primary production, influencing nutrient availability, impacting carbon sequestration in aquatic ecosystems, and supporting secondary production. In addition to influences from environmental conditions, the physical and chemical interactions among planktonic microbes can significantly modulate blooms, influencing the growth, maintenance, and senescence of phytoplankton. Recent work in steady-state open ocean ecosystems has shown that important chemicals are transferred amongst plankton on time-dependent metabolic schedules that are related to diel cycles. It is unknown how these metabolic schedules operate in dynamic coastal environments that experience perturbations, such as phytoplankton blooms. Here, the investigators are examining metabolic scheduling using long-term, diel sample sets to reveal how chemical and biological signals associated with the initiation, maintenance, and cessation of phytoplankton blooms are modulated on both short (hrs) and long (days-weeks) time scales. Findings are advancing the ability to predict and manage phytoplankton dynamics, providing crucial insights into ecological stability and future oceanographic sampling strategies. Additionally, outcomes of this study are providing a new foundational understanding of the succession of microbial communities and their chemical interactions across a range of timescales. In the long term, this research has the potential to identify predictors of the timing of phytoplankton blooms, optimize fisheries management, and guide future research on carbon sequestration.\n\ncdm_data_type = Other\nVARIABLES:\nDateID_PT (unitless)\n... (33 more variables)\n BCO-DMO bcodmo_dataset_984169_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_964236_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_964236_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_964236_v1/ public [Metagenomic sequence metadata] - NCBI Metagenomic metadata for Lau Basin (Tonga) mollusc gill tissue collected on R/V Thompson cruises TN235 and TN401 and R/V Falkor cruise FK160407 between May 2009 and Apr 2022 (RUI: Collaborative Research: The impact of symbiont-larval interactions on species distributions across southwestern Pacific hydrothermal vents) Metagenomic sequence data from Lau Basin hydrothermal vent mollusc gill tissues that contain chemosynthetic bacterial symbionts. Samples were collected between May 2009 to April 2022 aboard R/V Thompson cruises TN235 (May-June 2009) and TN401 (April 2016) and R/V Falkor cruise FK160407 (April 2022) for population and comparative genomics analysis of host animal and bacterial symbionts.\n\ncdm_data_type = Other\nVARIABLES:\nSample_ID (unitless)\nBioproject_accession (unitless)\nBiosample_accession (unitless)\nHost_species (unitless)\nTissue_type (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\nCollection_date (unitless)\nCruise (unitless)\ndepth (m)\nMAG_biosample_accession (unitless)\nSequencing_technologies (unitless)\nSRA_Study (unitless)\nSRA_accession (unitless)\nAssembly_methods (unitless)\nSymbiont_MAG_ID (unitless)\nMAG_acc (unitless)\nMAG_organism (unitless)\nHost_AphiaID_accepted (unitless)\nHost_LSID (unitless)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_964236_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_964236_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_964236_v1/index.htmlTable https://osprey.bco-dmo.org/dataset/964236 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_964236_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_964236_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_964236_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_948590_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_948590_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_948590_v1/ public [Metatranscriptomic nutrient response experiments - 2021 DY131] - Data from nutrient manipulation experiments (conducted on EXPORTS cruise DY131) aimed at relieving or inducing nutrient stress in phytoplankton and quantifying these responses using metatranscriptomic sequencing (Collaborative Research: Diatoms, Food Webs and Carbon Export - Leveraging NASA EXPORTS to Test the Role of Diatom Physiology in the Biological Carbon Pump) This dataset includes data from nutrient manipulation experiments aimed at relieving or inducing nutrient stress in phytoplankton and quantifying these responses using metatranscriptomic sequencing. Experiments were conducted by adding key macronutrients (N, P, Si) and Fe in different combinations over different growth periods, simulating potential alleviation of in situ nutrient stress or the induction of nutrient stress. Experiments were conducted on the EXports Processes in the Oceans from RemoTe Sensing (EXPORTS) cruise DY131 in the North Atlantic during May of 2021.\n\ncdm_data_type = Other\nVARIABLES:\nCruise (unitless)\ntime (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\nDate_UTC (unitless)\nTime_UTC (unitless)\nEvent (unitless)\nActivity (unitless)\nStation (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\nexp_id (unitless)\nIncubation (unitless)\nTreatment (unitless)\nreplicate (unitless)\nBioProject (unitless)\nBioSample (unitless)\nSRA_sample (unitless)\nPhosphate (millimoles per cubic meter (mmol m^3))\nPhosphate_flag (unitless)\nSilicate (millimoles per cubic meter (mmol m^3))\nSilicate_flag (unitless)\nNitrite (millimoles per cubic meter (mmol m^3))\nNitrite_flag (unitless)\n... (8 more variables)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_948590_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_948590_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_948590_v1/index.htmlTable https://www.bco-dmo.org/dataset/948590 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_948590_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_948590_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_948590_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_731478_v3 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_731478_v3.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_731478_v3/ public [Meteorological Data] - Meteorological data from the Tudor Hill Marine Atmospheric Observatory, Bermuda in 2017 to 2024 (Operation of a Community Marine-Atmospheric Sampling Facility at Tudor Hill, Bermuda) The BIOS Tudor Hill Marine Atmospheric Observatory (THMAO) has been supported by the NSF Chemical Oceanography and Atmospheric Chemistry Programs following a major refit in 2003. Since that time it has provided a unique research facility for the scientific community. The specific objectives are:\n\n1) To operate and maintain a state-of-the-art marine atmospheric sampling and observing facility at Tudor Hill, Bermuda, available for use by the wider U.S. and international research community;\n2) To continue the collection of continuous meteorological data and weekly bulk-aerosol and rainwater samples, which will be archived at BIOS and made freely available to other researchers;\n3) To collect additional atmospheric samples and data for other investigators (primarily in longer-term time-series programs), and to provide for the use of the facility in person by other investigators (primarily in shorter-term intensive programs).\n\ncdm_data_type = Other\nVARIABLES:\nTIMESTAMP (unitless)\nRECORD (unitless)\nMean_WS (meters per second (m/s))\nVectorMean_WS (meters per second (m/s))\nVectorMean_WD (degrees)\nStdDev_WD (degrees)\nSonicU (meter per second (m/sec))\nSonicV (meter per second (m/sec))\nSonicW (meter per second (m/sec))\nSonicTemp_C (degrees Celsius)\nbatt_volt_Min (volts direct current (VDC))\nRain_Tot (millimeters (mm))\nAirTempC_Avg (degrees Celsius)\nRH_Avg (percent (%))\nBP_mmHg_Avg (millimeters of mercury (mm Hg))\nSlrW (W/m2)\nSlrW_Avg (W/m2)\nSlrW_Max (W/m2)\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_731478_v3/index.htmlTable https://osprey.bco-dmo.org/dataset/731478 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_731478_v3.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_731478_v3&showErrors=false&email= BCO-DMO bcodmo_dataset_731478_v3
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_731478_v2 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_731478_v2.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_731478_v2/ public [Meteorological Data] - Meteorological data from the Tudor Hill Marine Atmospheric Observatory, Bermuda in 2017, 2019, 2020, 2021 and 2022 (Operation of a Community Marine-Atmospheric Sampling Facility at Tudor Hill, Bermuda) The BIOS Tudor Hill Marine Atmospheric Observatory (THMAO) has been supported by the NSF Chemical Oceanography and Atmospheric Chemistry Programs following a major refit in 2003. Since that time it has provided a unique research facility for the scientific community. The specific objectives are:\n\n1) To operate and maintain a state-of-the-art marine atmospheric sampling and observing facility at Tudor Hill, Bermuda, available for use by the wider U.S. and international research community;\n2) To continue the collection of continuous meteorological data and weekly bulk-aerosol and rainwater samples, which will be archived at BIOS and made freely available to other researchers;\n3) To collect additional atmospheric samples and data for other investigators (primarily in longer-term time-series programs), and to provide for the use of the facility in person by other investigators (primarily in shorter-term intensive programs).\n\ncdm_data_type = Other\nVARIABLES:\nTIMESTAMP (untiless)\nRECORD (unitless)\nMean_WS (meters per second (m/s))\nResultantMean_WS (meters per second (m/s))\nResultantMean_WD (degrees)\nStdDev_WD (degrees)\nSonicU (meter per second (m/sec))\nSonicV (meter per second (m/sec))\nSonicW (meter per second (m/sec))\nSonicTemp_C (degrees Celsius)\nbatt_volt_Min (volts direct current (VDC))\nRain_Tot (millimeters (mm))\nAirTempC_Avg (degrees Celsius)\nRH_Avg (percent (%))\nBP_mmHg_Avg (millimeters of mercury (mmHg))\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_731478_v2/index.htmlTable https://www.bco-dmo.org/dataset/731478 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_731478_v2.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_731478_v2&showErrors=false&email= BCO-DMO bcodmo_dataset_731478_v2
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_953856_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_953856_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_953856_v1/ public [Meteorological observations from NOAA station 8761724] - Meteorological observations from NOAA station 8761724, Grande Isle, LA from September 20, 2022, to September 29, 2024. (CAREER: Integrating Seascapes and Energy Flow: learning and teaching about energy, biodiversity, and ecosystem function on the frontlines of climate change) Subset of the NOAA Tides and Currents NOAA webpage. It includes meteorological observations of wind speed and direction which, in conjunction with landscape data, are used as a rough calculation of fetch distance in this study. Ultimately, the fetch distance variable was not included in the final analysis.\n\ncdm_data_type = Other\nVARIABLES:\nlatitude (degrees_north)\nlongitude (degrees_east)\nDate (unitless)\nTime_GMT (unitless)\ntime (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\nWind_Speed_kn (knots)\nWind_Dir_deg (degrees)\nWind_Gust_kn (knots)\nAir_Temp_F (Degrees Fahrenheit)\nBaro_mb (millibar)\nHumidity_perc (percentage (%))\nVisibility_nm (nanometers)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_953856_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_953856_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_953856_v1/index.htmlTable https://www.bco-dmo.org/dataset/953856 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_953856_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_953856_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_953856_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_964636_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_964636_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_964636_v1/ public [Methane Seep Macrofaunal Morphospecies] - Macrofaunal morphospecies from hard-substrate methane seep samples collected on R/V Atlantis cruise AT50-12, Southern California Borderland from July 2023 (Methanosphere project) (Collaborative Research: Redefining the footprint of deep ocean methane seepage for benthic ecosystems) This dataset documents macrofaunal communities associated with hard substrates (carbonate, phosphorite, and wood) collected from methane seeps in the Southern California Borderland. Samples were obtained with the HOV Alvin during R/V Atlantis cruise AT50-12 (July 16–28, 2023). The dataset provides morphospecies-level counts of macrofauna together with collection and sample metadata.\n\ncdm_data_type = Other\nVARIABLES:\nAlvin_Dive (unitless)\nDate_Deployed (unitless)\nDate_Recovered (unitless)\nSite (unitless)\nExperiment (unitless)\nSubstrate_Type (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\ndepth (m)\nDepth_Category (unitless)\nOxygen (micromoles per kilogram (umol/kg))\nOxygen_Category (unitless)\nSeepage_Category (unitless)\nSample_Number (unitless)\nSurface_Area (square centimetres (cm^2))\nSample_ID (count)\nAcari_sp_1 (count)\nActiniaria_unidentified_isotopes (count)\nActiniaria_sp_1 (count)\nActiniaria_sp_2 (count)\nActiniaria_sp_3 (count)\nActiniaria_sp_4 (count)\nActiniaria_sp_5 (count)\nAgathotanaidae_sp_1 (count)\n... (250 more variables)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_964636_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_964636_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_964636_v1/index.htmlTable https://osprey.bco-dmo.org/dataset/964636 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_964636_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_964636_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_964636_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_925050_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_925050_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_925050_v1/ public [Microbial Cellular Abundance Epifluorescent Microscopy] - Microbial cellular abundance growth response through epifluorescent microscopy from the Neuse River Estuary, North Carolina USA from 2021-2022 (Bacteria as Biosensors of Carbon and Energy Flow in Marine Ecosystems: Quantitative Links Between Substrates, Transcripts, and Metabolism) Microbial cellular abundance was enumerated for two microcosm incubation experiments to track the growth response of the microbial community. This dataset targets bacterial and phytoplankton abundance through epiflorescent microscopy. Sample water originated from the West Bay of the Neuse River Estuary, North Carolina USA in 2021 and 2022. The microcosms were 60-L, conducted in biological duplicates under three light treatment incubations: 12 h light-dark cycle of photosynthetically active radiation (PAR), 12 h light-dark cycle of UV-B radiation, or darkness. Unfiltered sample water was stained with SYBR Green I (Fall 2021 experiment) or DAPI (Spring 2022 experiment) for enumeration at 60x for bacterial and cyanobacterial abundance. Autofluorescence from excitation at 620 nm and 60x was used to enumerate small phytoplankton and cyanobacteria. This dataset highlights patterns in microbial growth across treatments over the course of the incubation and is used to generate cell-specific, normalized rates for associated datasets in the project.\n\ncdm_data_type = Other\nVARIABLES:\nExperiment_Name (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\nDate (unitless)\nIncubation_Day (days)\nTreatment (unitless)\nTank_ID (unitless)\nMethod (unitless)\nStain (unitless)\nExcitation (nanometers (nm))\nMagnification (unitless)\nSize_Fraction (micrometers (um))\ncells_per_L_avg (cells L-1)\ncells_per_L_sd (cells L-1)\nratio_620_tot (unitless)\nratio_err (unitless)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_925050_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_925050_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_925050_v1/index.htmlTable https://www.bco-dmo.org/dataset/925050 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_925050_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_925050_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_925050_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_969102_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_969102_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_969102_v1/ public [Microbial diversity survey Axial Seamount 2023] - Metabarcoding data from microbial diversity survey at Axial Seamount aboard the R/V Thompson cruise TN420 in Jul 2022 and Jul 2023 (Characterizing and quantifying the impact of phagotrophic protists at hot spots of primary production at Axial Seamount) Microorganisms are the ancestral forms of life on our planet and have been instrumental in shaping all of Earth?s environments into what they are today. In the ocean, microbial prokaryotes and eukaryotes form the foundation of marine food webs through their activity and interactions. Single-celled microbial eukaryotes (or protists) are some of the most important species on the planet, yet our understanding of how their activities influence and regulate the ocean ecosystem is poorly constrained. At deep-sea hydrothermal vents in particular, our understanding of microbial food web dynamics is incomplete without including the role of microbial eukaryotes. In July 2023, we completed an ROV expedition to Axial Seamount (NE Pacific), where we used ROV Jason to collect low temperature diffuse vent fluid and surrounding plume and background seawater. These samples were filtered in situ or shipboard to collect the microbial communities. Data provided are the product of amplicon tag-sequencing using both 18S rRNA and 16S rRNA gene primers.\n\ncdm_data_type = Other\nVARIABLES:\nAccession (unitless)\nSample_Name (unitless)\nNCBI_Organism_Name (unitless)\nNCBI_Tax_ID (unitless)\nBioProject (unitless)\ndive_ctd (unitless)\nsite_name (unitless)\ncollection_method (unitless)\nsample_type (unitless)\nfilter (unitless)\nprocessing (unitless)\nprimer (unitless)\ntarget_population (unitless)\nlocation_name (unitless)\ndepth_category (unitless)\ndepth (m)\nfluid_origin (unitless)\n... (4 more variables)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_969102_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_969102_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_969102_v1/index.htmlTable https://osprey.bco-dmo.org/dataset/969102 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_969102_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_969102_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_969102_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_914399_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_914399_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_914399_v1/ public [Microbial eukaryotic diversity: Mid-Cayman Rise SRA dataset] - 18S rRNA amplicon sequencing of microbial eukaryotes from the Mid-Cayman Rise acquired Jan-Feb, 2020 (Probing subseafloor microbial interactions via hydrothermal vent fluids: A focus on protists) Single-celled microbial eukaryotes inhabit deep-sea hydrothermal vent environments and play critical ecological roles in the vent-associated microbial food web. 18S rRNA amplicon sequencing of diffuse venting fluids from two geochemically-distinct hydrothermal vent fields was applied to investigate community diversity patterns among protistan assemblages. Piccard and Von Damm vent fields are situated 20 km apart at the Mid-Cayman Rise in the Caribbean Sea. We describe species diversity patterns with respect to hydrothermal vent field and sample type, identify putative vent endemic microbial eukaryotes, and test how vent fluid geochemistry may influence microbial community diversity. Individual vent fields supported distinct and highly diverse assemblages of protists that included potentially endemic or novel vent-associated strains. This data adds to our growing knowledge of the biogeography of deep-sea microbial eukaryotes.\n\ncdm_data_type = Other\nVARIABLES:\nExperiment_Accession (unitless)\nExperiment_Title (unitless)\nOrganism_Name (unitless)\nInstrument (unitless)\nStudy_Accession (unitless)\nStudy_Title (unitless)\nSample_Accession (unitless)\nTotal_Size_Mb (Mb)\nTotal_Bases (bp)\nLibrary_Name (unitless)\nLibrary_Strategy (unitless)\nLibrary_Source (unitless)\nLibrary_Selection (unitless)\nVent_field (unitless)\nCollection (unitless)\nVent_name (unitless)\nDiveID (unitless)\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_914399_v1/index.htmlTable https://www.bco-dmo.org/dataset/914399 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_914399_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_914399_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_914399_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_964619_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_964619_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_964619_v1/ public [Microbial Fluid Cell Counts] - Microbial fluid cell count data collected on Falkor (too), cruise Fkt231202 with ROV fluid sampler in the Central Eastern Pacific offshore Costa Rica in Dec 2023 (Octopus Odyssey) These data are microscopic cell counts of microbes in venting fluids and background seawater samples collected during Octopus Odyssey (too) expedition on Falkor (too), cruise Fkt231202, in the Central Eastern Pacific from December 4th to December 12th, 2023. Instrument used to collect the sampler was a SUPR (Suspended Underwater Particulate Rosette) sampler modified for ROV SuBastian. Cells were visualized using SYBR staining. Samples were collected by Julie Huber.\n\ncdm_data_type = Other\nVARIABLES:\nCruise_Number (unitless)\nSample_Number (unitless)\nSample_Type (unitless)\nROV_Storage (unitless)\nSample_code (unitless)\nDescription (unitless)\nDive (unitless)\nDive_Site (unitless)\nTime_UTC (unitless)\nDate (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\ndepth (m)\nCells_per_mL (cells/mL)\nstandard_deviation (unitless)\ntime (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_964619_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_964619_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_964619_v1/index.htmlTable https://osprey.bco-dmo.org/dataset/964619 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_964619_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_964619_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_964619_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_908626_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_908626_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_908626_v1/ public [Microbial Respiration] - Microbial respiration from microcosm experiments conducted under three light treatments using water originating from West Bay of the Neuse River Estuary, North Carolina USA in 2021 and 2022 (Bacteria as Biosensors of Carbon and Energy Flow in Marine Ecosystems: Quantitative Links Between Substrates, Transcripts, and Metabolism) Microbial respiration assays were conducted for two microcosm incubation experiments. Sample water originated from West Bay of the Neuse River Estuary, North Carolina USA in 2021 and 2022. The microcosms were 60-liters, conducted in biological duplicates under three light treatment incubations: 12-hour light-dark cycle of photosynthetically active radiation (PAR), 12-hour light-dark cycle of UV-B radiation, or darkness. Respiration assays of the unfiltered and 5-micron filtered community were initiated every few days using foil-membrane optodes to examine light effects on community respiration.\n\ncdm_data_type = Other\nVARIABLES:\nExperiment_Name (unitless)\nDate (unitless)\nTime_EDT (unitless)\nIncubation_day (days)\nTreatment (unitless)\nTank_ID (unitless)\nSize_fraction_um (micrometers (um))\nrespiration_uM_O2_d_1 (micromoles O2 per day (uM O2 d-1))\nrespiration_uM_C_d_1 (micromoles C per day (uM C d-1))\nr2 (unitless)\nRSE (unitless)\nNo_pts (unitless)\nISO_DateTime_Local (unitless)\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_908626_v1/index.htmlTable https://www.bco-dmo.org/dataset/908626 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_908626_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_908626_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_908626_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_906740_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_906740_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_906740_v1/ public [Microbiome dynamics of coral reef and cleanerfish] - Microbiome dynamics of coral reef and cleanerfish from ecological surveys, in situ manipulations, and laboratory experiments conducted from 2020-2021 (Collaborative Research: Cleaning stations as hubs for the maintenance and recovery of microbial diversity on coral reefs.) Coral reefs host some of the most iconic symbiotic interactions in nature and are host to the highest diversity of life on the planet. Cleaning symbiosis, wherein small fish or shrimp remove external parasites and associated microorganisms from specific clients, is common on coral reefs. Sites on the reef occupied by cleaners, or \"cleaning stations\", attract a wide variety of fish species that engage in direct physical contact with the cleaner. In this study, we used a combination of ecological surveys, in situ manipulations, and laboratory experiments to examine the unique features of cleaning stations to understand transfer of bacterial and archaeal symbionts amongst fish and within coral reef environment. We used microbial 16S rRNA gene amplicons, environmental parameters, and other molecular tools to evaluate the dynamics between coral microbiomes, cleanerfish skin microbiomes, and the environment. This dataset contains metadata describing sequenced samples, including sample name, data deposition accession records, and measurements at the time of sample collection.\n\ncdm_data_type = Other\nVARIABLES:\nBioProject_accession (unitless)\nBioSample_accession (unitless)\nsample_name (unitless)\nSRA_accession (unitless)\ncollection_date (unitless)\ngeo_loc_name (unitless)\nhost (unitless)\nlat (degrees_north)\nlongitude (degrees_east)\nisolation_source (unitless)\nhost_common_name (unitless)\nhost_disease (unitless)\nhost_condition (unitless)\nhost_coral_cleaner_goby_pretreatment (unitless)\nhost_coral_reef_id (unitless)\nlocation_survey_date (unitless)\n... (13 more variables)\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_906740_v1/index.htmlTable https://www.bco-dmo.org/dataset/906740 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_906740_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_906740_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_906740_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_954346_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_954346_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_954346_v1/ public [Microbiomes of Caribbean sponges] - Microbiome data from sponges collected in 2013 and 2014 from reefs in Honduras, Belize, Panama and the Florida Keys. (Collaborative Research: Investigations into microbially mediated ecological diversification in sponges) Marine sponges host diverse communities of microbial symbionts that expand the metabolic capabilities of their host, but the abundance and structure of these communities is highly variable across sponge species. Specificity in these interactions may fuel host niche partitioning on crowded coral reefs by allowing individual sponge species to exploit unique sources of carbon and nitrogen, but this hypothesis is yet to be tested. Given the presence of high sponge biomass and the coexistence of diverse sponge species, the Caribbean Sea provides a unique system in which to investigate this hypothesis. To test for ecological divergence among sympatric Caribbean sponges and investigate whether these trends are mediated by microbial symbionts, we measured stable isotope (δ13C and δ15N) ratios and characterized the microbial community structure of sponge species at sites within four regions spanning a 1700 km latitudinal gradient. Samples were collected in 2013 and 2014 from reefs in Honduras, Belize, Panama, and the Florida Keys. There was a low (median of 8.2 %) overlap in the isotopic niches of sympatric species; in addition, host identity accounted for over 75% of the dissimilarity in both δ13C and δ15N values and microbiome community structure among individual samples within a site. There was also a strong phylogenetic signal in both δ15N values and microbial community diversity across host phylogeny, as well as a correlation between microbial community structure and variation in δ13C and δ15N values across samples. Together, this evidence supports a hypothesis of strong evolutionary selection for ecological divergence across sponge lineages and suggests that this divergence is at least partially mediated by associations with microbial symbionts.\n\ncdm_data_type = Other\nVARIABLES:\nBioproject (unitless)\nAccession (unitless)\nRegion (unitless)\nDive_Site (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\nCollection_date (unitless)\nFile_id (unitless)\nSample_name (unitless)\nSeq_count_post_proc (number)\nSponge_Species (unitless)\nRead_direction (unitless)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_954346_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_954346_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_954346_v1/index.htmlTable https://osprey.bco-dmo.org/dataset/954346 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_954346_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_954346_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_954346_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_926299_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_926299_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_926299_v1/ public [Microorganisms associated with doliolids] - Eukaryotic and prokaryotic microbial taxa retained by wild-caught doliolids collected during bloom events at three different shelf locations in the northern California Current system in June 2019. (Collaborative Research: Comparative feeding by gelatinous grazers on microbial prey) Doliolids have a unique ability to impact the marine microbial community through bloom events and high filtration rates. Their predation on large eukaryotic microorganisms is established and evidence of predation on smaller prokaryotic microorganisms is beginning to emerge. We studied the retention of both eukaryotic and prokaryotic microbial taxa by wild-caught doliolids in the northern California Current system. Doliolids were collected during bloom events identified at three different shelf locations with variable upwelling intensity.\n\ncdm_data_type = Other\nVARIABLES:\nbioproject_accession (unitless)\nbiosample_accession (unitless)\nsample_name (unitless)\nsra_sample_accession (unitless)\nsample_accession_title (unitless)\norganism_name (unitless)\norganism_taxonomy_id (unitless)\norganism_taxonomy_name (unitless)\nkeyword (unitless)\nbiosample_package (unitless)\ncollection_date (unitless)\ndepth (m)\nenv_broad_scale (unitless)\nenv_local_scale (unitless)\nenv_medium (unitless)\ngeo_loc_name (unitless)\nlatitude (Sampling_lat, degrees_north)\nlongitude (Sampling_lon, degrees_east)\nsize_frac (unitless)\nhost (unitless)\nsource_material_id (unitless)\nstatus (unitless)\n... (5 more variables)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_926299_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_926299_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_926299_v1/index.htmlTable https://www.bco-dmo.org/dataset/926299 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_926299_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_926299_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_926299_v1
log in [Microorganisms associated with pyrosomes] - High-throughput sequencing of the 16S rRNA gene, microscopy, and flow cytometry of pyrosome-associated microorganisms compared to seawater sampled during a Pyrosoma atlanticum bloom in the Northern California Current System in July 2018. (Collaborative Research: Comparative feeding by gelatinous grazers on microbial prey) Pyrosomes are widely distributed pelagic tunicates that have the potential to reshape marine food webs when they bloom. However, their grazing preferences and interactions with the background microbial community are poorly understood. The diversity, relative abundance, and taxonomy of pyrosome-associated microorganisms were compared to seawater during a Pyrosoma atlanticum bloom in the Northern California Current System using high-throughput sequencing of the 16S rRNA gene, microscopy, and flow cytometry.\n\ncdm_data_type = Other\nVARIABLES:\nbioproject_accession (unitless)\nbiosample_accession (unitless)\nsample_name (unitless)\nsra_sample_accession (unitless)\nsample_accession_title (unitless)\norganism_name (unitless)\norganism_taxonomy_id (unitless)\norganism_taxonomy_name (unitless)\nkeywords (unitless)\nbiosample_package (unitless)\ncollection_date (unitless)\nenv_broad_scale (unitless)\nenv_local_scale (unitless)\nenv_medium (unitless)\ngeo_loc_name (unitless)\nhost (unitless)\nlatitude (Sampling_lat, degrees_north)\nlongitude (Sampling_lon, degrees_east)\ndepth (m)\nhost_length (centimeter (cm))\nsource_material_id (unitless)\nstatus (unitless)\n... (20 more variables)\n BCO-DMO bcodmo_dataset_926093_v1
log in [Microsensor profiles] - Coral microsensor profiles collected during exposure to low pH in outdoor mesocosms in Hawaii from July 2023 to August 2023 (Collaborative Research: Reevaluating calcification response to changes in seawater chemistry by testing the Proton Flux Hypothesis and the Coral Metabolism Model) This dataset contains measurements of proton and oxygen fluxes, diffusive boundary layer (DBL) structure, and carbonate chemistry conditions for two Hawaiian coral species, Montipora capitata (urn:lsid:marinespecies.org:taxname:287697) and Pocillopora acuta (urn:lsid:marinespecies.org:taxname:759099), exposed to controlled seawater carbonate chemistry treatments. Coral colonies were collected from fringing reef habitat in Kāne‘ohe Bay, Hawai‘i, acclimated in flow-through mesocosms, and subjected to a 19-day exposure to either ambient or elevated pCO2 conditions. Seawater chemistry, including temperature, salinity, dissolved oxygen, pH, total alkalinity, and derived carbonate system parameters, was monitored throughout the experiment.\nMicrosensor profiling of oxygen and pH was conducted in a custom flow-controlled flume to quantify boundary layer gradients and calculate proton and oxygen fluxes using Fick's first law. Measurements were collected at high vertical resolution above coral tissue surfaces to characterize fine-scale chemical environments under both control and elevated pCO2 conditions. These data provide detailed assessments of how coral boundary layer chemistry and metabolic fluxes respond to short-term ocean acidification exposure in two ecologically important coral taxa.\nThe dataset includes raw microsensor profiles, calculated DBL thickness, proton and oxygen fluxes, buoyant weights, genotype identifiers, and all associated seawater carbonate chemistry measurements. These observations support broader efforts to understand coral physiological responses to ocean acidification and provide mechanistic insight into species-specific and condition-dependent changes in coral boundary layer processes.\n\ncdm_data_type = Other\nVARIABLES:\nexperiment_year (unitless)\ndistance_um (micrometers (um))\nspecies (unitless)\ntreatment (unitless)\ncondition (unitless)\ngenotype (unitless)\nO2 (milligrams per liter (mg/L))\npH (pH Total Scale)\nhplus (unitless)\nbulk (unitless)\n BCO-DMO bcodmo_dataset_995180_v1
log in [Microsphere counts from incubation chambers of Oikopleura dioica] - Microsphere counts from incubation chambers of Oikopleura dioica prior to and following feeding incubations for experiment with artificial microspheres with two functionalized surfaces in three sizes (Collaborative Proposal: Are all cell surfaces the same? The effects of particle surface property on predator-prey interactions in the microbial loop) Cell surface properties can strongly mediate microbial interactions with predators in soil and host-pathogen systems. Yet, the role of microbial surface properties in avoiding or enhancing predation in the ocean remains a research frontier. Appendicularians are globally abundant marine suspension feeders that capture marine microorganisms in a complex mucous filtration system. We used artificial microspheres to test whether the surface properties of prey particles influenced selection by the appendicularian, O. dioica.  Across microsphere sizes (0.5, 1, 2 and 3 µm) and concentrations (~103-106 particles ml-1), which were varied to represent realistic microbial communities, carboxylate- and amine-modified particles were handled differently by the appendicularians. The carboxylate-modified particles were enriched in the gut while the amine-modified particles were enriched in the mucous filters, leading to different particle fates. \nThis dataset includes incubation chamber concentrations at the beginning and end of feeding incubations.\n\ncdm_data_type = Other\nVARIABLES:\nIncubation (unitless)\nSample_Number (unitless)\nTi_Tf (unitless)\nC_0_5_um_ml (Count per grid)\nC_1_um_ml (Count per grid)\nC_2_um_ml (Count per grid)\nC_3_um_ml (Count per grid)\nA_0_5_um_ml (Count per grid)\nA_1_um_ml (Count per grid)\nA_2_um_ml (Count per grid)\nA_3_um_ml (Count per grid)\n BCO-DMO bcodmo_dataset_956298_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_943707_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_943707_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_943707_v1/ public [Mixed Layer] - Estimates of mixed layer depths (MLD) mean mixed-layer values of temperature, salinity, and other measurements from R/V Roger Revelle cruise RR2201 in the Eastern Indian Ocean (Argo Basin) from January to March 2022 (Collaborative Research: Mesoscale variability in nitrogen sources and food-web dynamics supporting larval southern bluefin tuna in the eastern Indian Ocean) This dataset contains estimates of mixed layer depths (MLD) and mean mixed-layer values of temperature, salinity, sigma-t density, % transmission, oxygen concentration, % oxygen saturation, and fluorometric chlorophyll a from CTD downcast profiles for cruise RR2201 on R/V Roger Revelle (BLOOFINZ-IO, January-March 2022) in the Argo Basin region off NW Australia.\n\ncdm_data_type = Other\nVARIABLES:\nCruise (unitless)\nEvent (unitless)\ntime (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\nlatitude (degrees_north)\nlongitude (degrees_east)\nCycle_Day (unitless)\nCTD_Cast (unitless)\nMLD (meters (m))\nTemp (degrees Celsius)\nSaliniity (PSU)\nSigma_t (kg/m3 - 1000)\nXmissn (percent per meter (% m-1))\nO2 (micromoles per kilogram (umol kg-1))\nO2_pcnt_sat (percent (%))\nFluoro (milligrams per cubic meter (mg m-3))\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_943707_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_943707_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_943707_v1/index.htmlTable https://www.bco-dmo.org/dataset/943707 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_943707_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_943707_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_943707_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_998890_v1 https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_998890_v1/ public [Mixed-layer depths - Irminger Sea] - Mixed-layer depths at the Ocean Observatories Initiative’s Irminger Sea Array from 2014 to 2022 (CAREER: Constraining the high-latitude ocean carbon cycle: Leveraging the Ocean Observatories Initiative (OOI) Global Arrays as marine biogeochemical time series) This dataset contains a mixed-layer depth (MLD) time series for the Ocean Observations Initiative (OOI) Global Irminger Sea Array (59.97°N, 39.51°W) from September 2014 to July 2022. Mixed-layer depths are determined for this site using a combination of OOI wire-following profiler, glider, and fixed depth mooring data, with Argo data used to fill late summer gaps. For full details see Text S9 in Yoder et al. (2024).\n\ncdm_data_type = Other\nVARIABLES:\nDate (unitless)\nMLD (decibar (db))\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_998890_v1/index.htmlTable https://osprey.bco-dmo.org/dataset/998890 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_998890_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_998890_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_998890_v1
log in [Mixotroph Pfam differential expression (PUPCYCLE II)] - Pfam differential expression data for mixotrophs from an iron incubation experiment during the PUPCYCLE II R/V Sally Ride cruise within the California Current System in May and June of 2023 (CAREER: An integrated molecular and physiological approach to examining the dynamics of upwelled phytoplankton in current and changing oceans) This dataset includes RNA-seq differential expression results of Pfam domains within mixotrophs from an iron incubation experiment using upwelled waters sampled in the California Current System (CCS) during the PUPCYCLE II cruise with Chief Scientist Adrian Marchetti. PUPCYCLE II (Phytoplankton response to the UPwelling CYCLE) took place onboard the R/V Sally Ride from May 29th to June 10th, 2023. Freshly upwelled seawater for the incubation experiment was collected within the northern CCS and placed into designated cubitainers. Three cubitainers were immediately harvested for the initial timepoint (T0). The remaining twenty-seven cubitainers were assigned treatments: nine were unamended (Ctrl), nine were amended with 5 nM FeCl2 (+Fe), and nine were amended with 200 nM Desferrioxamine B, a strong iron chelator (DFB). Three cubitainers from each treatment were harvested for each of the three subsequent timepoints: 48 hours (T1), 168 hours (T2), and 264 hours (T3) after incubation. Approximately 2.5 to 4 liters of each sample was harvested for RNA-seq of the natural phytoplankton community, or metatranscriptomics. The dataset provides differential expression results of Pfam domains within mixotrophs (and which genera they map to), specifically comparing expression levels between +Fe and DFB at T1 and T2. This data includes domains that significantly differ in expression between treatments in mixotrophs, and results were used to understand phagotrophic versus phototrophic gene expression based on iron bioavailability.\n\ncdm_data_type = Other\nVARIABLES:\nTaxa_Group (unitless)\nTimepoint (unitless)\nDE_Comparison (unitless)\nPfam_ID (unitless)\nPfam_Name (unitless)\nPfam_Description (unitless)\nbaseMean (number of normalized reads)\nlog2FoldChange (unitless)\nlfcSE (unitless)\nstat (unitless)\npvalue (unitless)\n... (38 more variables)\n BCO-DMO bcodmo_dataset_1004659_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_1003286_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_1003286_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_1003286_v1/ public [Mo'orea North Shore Diel Surveys 2021-2023] - Biogeochemical and microbial parameters collected during diel surveys on a coral reef at Mo'orea's North Shore in French Polynesia in 2021, 2022, and 2023 (Collaborative Research: Diel dynamics of dissolved organic matter production and remineralization as a driver of coral reef nutrient recycling) These data include biogeochemical and microbial parameters collected during diel surveys on a coral reef at Mo'orea's North Shore (French Polynesia). Sampling took place in August 2021, March to April of 2022, and August 2023. Seawater samples were collected overlying the coral reef every three hours for three or more consecutive days from ocean-facing forereef sites to backreef sites in the north shore lagoon. A variety of methods were used including colorimetric detection of inorganic nutrients, high-temperature combustion/oxidation, or chemical oxidation for the analysis of dissolved organic carbon (DOC) and particulate organic carbon and nitrogen (POC and PON) concentrations, isotope ratio mass spectrometry for determining stable carbon and nitrogen isotopes of particulate organic matter (POM), scanning excitation-emissions fluorescence measurements of whole seawater to quantify fluorescent dissolved organic matter (fDOM), flow cytometry-based cell counts to quantify bacterial abundance, and liquid chromatography coupled to tandem mass spectrometry to identify individual chemical features within marine DOM. These data help to quantify how biogeochemical parameters change over a diel period. This work helps us to better identify external nutrients to the reef and how reef organisms modify and cycle carbon, nitrogen, and phosphorus over the reef. The results may be of use to physical, chemical, and biological oceanographers who study tropical reef systems and could inform other studies in the region, including those conducted as part of the Mo'orea Coral Reef (MCR) Long Term Ecology Research (LTER) program. The samples were collected, measured, and analyzed by Dr. Linda Wegley Kelly (Scripps Institution of Oceanography) and Dr. Craig Nelson (SOEST, University of Hawaii).\n\ncdm_data_type = Other\nVARIABLES:\nSurvey_Year (unitless)\nMooreaCode (unitless)\nSampleID (unitless)\nExperiment (unitless)\nLocation (unitless)\nCampaign (unitless)\nISO_DateTime_Local (unitless)\ntime (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\ntime_unitless (Time, unitless)\n... (35 more variables)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_1003286_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_1003286_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_1003286_v1/index.htmlTable https://osprey.bco-dmo.org/dataset/1003286 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_1003286_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_1003286_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_1003286_v1
log in [MOCNESS Biomass SR2407] - MOCNESS Biomass data associated with R/V Sally Ride cruise SR2407 in the Gulf of California in May 2024 (Collaborative Research: Metabolic habitat barriers imposed on tropical diel vertical migrators) In May 2024, the R/V Sally Ride cruises SR2406-SR2408 were conducted in the Gulf of California. The MOCNESS tow nets were deployed during this cruise. This dataset presents biomass of size fractionated zooplankton samples were collected on the SR2407 leg using a 1 m2 MOCNESS with 222 micrometer mesh. The biomass comes from a pair of day and night tows 0-1000 m in Guaymas Basin in the Gulf of California on May 4th and May 5th.\n\ncdm_data_type = Other\nVARIABLES:\nISO_datetime_local (unitless)\nDate_local (unitless)\nLocal_Time (unitless)\ntime (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\nlatitude (N_latitude, degrees_north)\nlongitude (W_longitude, degrees_east)\nmin_depth (meters)\nmax_depth (meters)\nvolume_filtered (m3)\nDN (unitless)\nMoc_num (unitless)\nNet_num (unitless)\nsplit (unitless)\nfraction (unitless)\nnote (unitless)\nfilter_num (unitless)\nfilter_weight (g)\nWet_weight (g)\nDry_weight (g)\n BCO-DMO bcodmo_dataset_996652_v1
log in [MOCNESS files SR2406-2408] - MOCNESS and environmental data from R/V Sally Ride cruises SR2406-SR2408 in the Gulf of California in May 2024 (Collaborative Research: Metabolic habitat barriers imposed on tropical diel vertical migrators) In May 2024, the R/V Sally Ride cruises SR2406-SR2408 were conducted in the Gulf of California. The MOCNESS tow nets were deployed from May 4th to May 18th on cruise legs SR2407 and SR2408. Files from MOCNESS net tows were produced by LVpki software and include additional environmental data from the CTD. \n\nThis dataset includes environmental sensor data—pressure, in situ temperature, potential temperature (θ), salinity, potential density anomaly (σ), and dissolved oxygen concentration (ml L⁻¹)—alongside MOCNESS net data (net angle, volume filtered, and trip information) and associated calibration parameters. Raw environmental data are provided in .hex files with corresponding .xmlcon configuration files, while processed .pro files contain synchronized net and environmental data.\n\ncdm_data_type = Other\nVARIABLES:\nvessel (unitless)\ncruiseID (unitless)\ntow (unitless)\nraw_data_filename (unitless)\ntime (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\nlatitude (degrees_north)\nlongitude (degrees_east)\ntime_unitless (Time, unitless)\npres (decibars (dbar))\necho (m)\ntemp (degrees Celsius)\ntheta (degrees Celsius)\nsal (psu)\nsigma (kg/m3)\nangle (degrees)\nflow (unitless)\nhzvel (m/min)\n... (21 more variables)\n BCO-DMO bcodmo_dataset_996661_v1
log in [MOCNESS Zooplankton ID and Abundance] - MOCNESS Zooplankton data collected at the mid-Atlantic Bight Shelfbreak on R/V Neil Armstrong cruise AR29, R/V Ronald H. Brown cruise RB1904 and R/V Thomas G. Thompson cruise TN368 to the New England Shelfbreak in April 2018 and May/July2019 (Collaborative Research:  Shelfbreak Frontal Dynamics: Mechanisms of Upwelling, Net Community Production, and Ecological Implications) As part of the Shelfbreak Productivity Interdisciplinary Research Operation at the Pioneer Array (SPIROPA) Project, zooplankton were sampled at selected stations and depths using a Multiple Opening/Closing Net and Environmental Sensing System (MOCNESS). Twelve stations were sampled on each of three research cruises (AR29 in April of 2018, RB19-04 in May 2019 and TN368 July of 2019) in the Middle Atlantic Bight shelfbreak. Samples were then transferred to one-liter jars and preserved in approximately 10% formalin:seawater solutions for later microscopic analyses ashore. At the shore-based laboratory, samples were drained through 64 µm-mesh sieves for removal of formalin:seawater and concentrated zooplankton were transferred to 70% ethanol for microscopic identification and enumeration.\n\ncdm_data_type = Other\nVARIABLES:\nCruise (unitless)\nDate (unitless)\nMOCNESS_Cast_No (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\nMesh_size_microns (micrometer (µm))\nStation (unitless)\ndepth (Depth_m, m)\nVolume_Sampled_m3 (cubic meter (m3))\nSplit_Factor (unitless)\nTaxa (unitless)\nCount (unitless)\nTaxa_Concentration_animals_m3 (animals/m3)\nComment (unknown)\n BCO-DMO bcodmo_dataset_961749_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_954181_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_954181_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_954181_v1/ public [Molecular identification of genetic variants of Neocalanus flemingeri] - Molecular identification of genetic variants of Neocalanus flemingeri in the Gulf of Alaska from samples collected from 2015 to 2023 (Collaborative Research: Zooplankton restarts in a high-latitude marine ecosystem: species-specific recruitment and development in early spring) The subarctic Pacific is inhabit by three copepod congeners in the genus Neocalanus with an overlapping biogeographic range that includes the open ocean, marginal seas and fjord systems. Two distinct genetic variants of Neocalanus flemingeri have been reported from the western Pacific: the “small form” with an annual life cycle is found throughout the region, while the “large form” population with a 2-year life cycle is centered in the Sea of Okhotsk. Using a molecular approach, this study examined the genetic composition of N. flemingeri populations in the Gulf of Alaska from multiple stations over an eight-year period using existing nucleotide sequence data from RNA-Seq, Sanger sequencing and metabarcoding data. This is the first report for the occurrence of the large form in the eastern Pacific with a significant presence in fjord systems.\n\ncdm_data_type = Other\nVARIABLES:\nYear (unitless)\nStage (unitless)\nSRX (unitless)\nNf_Small (count)\nNf_Large (count)\nNp (count)\nNc (count)\nCg (count)\nEb (count)\nMp (count)\nBioProject (unitless)\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_954181_v1/index.htmlTable https://osprey.bco-dmo.org/dataset/954181 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_954181_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_954181_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_954181_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_964610_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_964610_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_964610_v1/ public [Moorea 2019 Acropora hyacinthus isotope data] - Acropora hyacinthus isotope data from coral samples collected at a north shore site in Mo’orea in May 2019 (RAPID: Collaborative Research: Studies of recovery from bleaching in Acropora hyacinthus: epigenetic shifts, impacts on reproductive biology and carry-over effects) Heterotrophic feeding on plankton and particulate organic matter (POM) by tropical Scleractinian corals is known to aid in the resistance and recovery from thermally induced bleaching. However, the relative importance of heterotrophy in promoting bleaching resistance and recovery is likely to vary based on ecological context and the severity of heat stress. In 2019, the Pacific Island of Mo'orea experienced mass coral mortality during a widespread marine heatwave. Many Acropora hyacinthus colonies on the shallow reef slope (5 m) were resistant to bleaching, while colonies on the deeper fore reef (14 m) often bleached and subsequently recovered, despite similar thermal stress. The role of heterotrophy in this divergent bleaching response was investigated using fatty acid, isotopic, and elemental biomarkers. Multiple complementary lines of evidence, including feeding proxies, isotopic niche overlap, and putative POM fatty acid biomarkers, indicated that bleaching resistant colonies were likely consuming more POM than their bleached and recovered counterparts. Additionally, although visually recovered, host energetics in recovered colonies remained compromised and exhibited proportionally less mono- and polyunsaturated fatty acids and less relative nitrogen than resistant colonies. We show that corals that rely more on heterotrophic nutrient acquisition can better resist thermally induced bleaching. Our results also revealed the long-term energetic costs of bleaching even after visual recovery. Ultimately, these results underscore the vital role of coral nutrition in shaping coral bleaching response and recovery.\n\nThe dataset includes coral sample ids, tissue fraction type, sampling location, relative fatty acid abundances (C12.0–C22.6n3), total fatty acids per filter, isotope ratios of nitrogen (δ15N) and carbon (δ13C), coral depth, tagging month, bleaching status across three time points in 2019 (May, August, and October), colony surface area, and carbon-to-nitrogen ratio.\n\ncdm_data_type = Other\nVARIABLES:\ncoral (unitless)\nfraction (unitless)\nbleach_response (unitless)\nlocation (unitless)\nlatitude (degrees_north)\nlongitude (Long, degrees_east)\n... (38 more variables)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_964610_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_964610_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_964610_v1/index.htmlTable https://osprey.bco-dmo.org/dataset/964610 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_964610_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_964610_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_964610_v1
log in [Morphological data from reciprocal transplant experiment] - DRAFT: Summary of Morphological Data on Littorina obtusata from the Reciprocal Transplant Experiment (Local adaptation and the evolution of plasticity under predator invasion and warming seas: consequences for individuals, populations and communities) The impact of invasive predators during the early stages of invasion is often variable in space and time. Such variation is expected to initially favor plasticity in prey defenses but fixed defenses as invaders become established. Coincident with the range expansion of the invasive green crab (Carcinus maenas) in the Gulf of Maine we document rapid changes in shell thickness – a key defense against shell crushing predators – of an intertidal snail (Littorina obtusata). These data summarize the results of reciprocal transplant experiments between snail (Littorina obtusata) populations in the northern and southern Gulf of Maine that were conducted 20 years apart. The results revealed that temporal shifts in snail shell thickness were driven by the evolution of increased trait means and erosion of thickness plasticity. The virtual elimination of the trade-off in snail tissue mass that often accompanies thicker shells is consistent with the evolution of fixed defenses under increasingly certain predation risk and are therefore consistent with the predicted impacts of spatiotemporal changes in green crab abundance throughout the Gulf of Maine.\n\ncdm_data_type = Other\nVARIABLES:\nYear (unitless)\nPopulation (unitless)\nLocation (unitless)\nRisk_Treatment (unitless)\nReplicate (unitless)\nInitial_Shell_Thickness (millimeters (mm))\nInitial_Shell_Length (millimeters (mm))\nInitial_Shell_Mass (milligrams (mg))\nInitial_Tissue_Mass (milligrams (mg))\nFinal_Shell_Thickness (millimeters (mm))\nFinal_Shell_Length (millimeters (mm))\nFinal_Shell_Mass (milligrams (mg))\nFinal_Tissue_Mass (milligrams (mg))\n BCO-DMO bcodmo_dataset_990830_v1
log in [Morphometric, condition, and parasite trait data for oysters on restored reefs] - Oyster morphometric, condition, and parasite infection data from an experimental oyster reef restoration in Ninigret Pond, Rhode Island (USA) in 2018-2020 (CAREER: Linking genetic diversity, population density, and disease prevalence in seagrass and oyster ecosystems) This dataset contains individual-level morphometric, condition, and parasite infection measurements for eastern oysters (Crassostrea virginica, urn:lsid:marinespecies.org:taxname:140657) sampled from 12 experimental restored reefs in Ninigret Pond, Rhode Island, USA, as part of a multi-year oyster reef restoration experiment using oysters sourced from four commercial hatcheries along the U.S. Atlantic coast. Morphometric and condition measurements, including shell height (mm), shell length (mm), dry tissue mass (g), dry shell mass (g), and condition index (dry tissue mass multiplied by 100 divided by dry shell mass), are provided for 515 individuals sampled in fall 2018 and fall 2020. Parasite infection data are provided for fall 2018 individuals only, and include presence/absence of infection by four oyster parasites: the macroparasites mud blister worm (Polydora sp.) and boring sponge (Cliona spp.), and the microparasites Haplosporidium costale and Perkinsus marinus. Infection intensity measurements are provided for the two most prevalent parasites, P. marinus and mud blister worm. The primary genetic cluster assignment for each individual is also provided; these assignments correspond to one of four genetic clusters identified with SNP genotype data, which broadly correspond to the four commercial hatchery sources (Maine, Massachusetts, New York, and Virginia) as described in the related genetic assignments dataset.\n\nThis dataset also contains supplemental data on reef-level prevalence of infection by the four oyster parasites summarized by oyster genetic cluster for the 12 experimental restored reefs. For each parasite, the reef-level dataset includes the total number of individuals sampled, the number infected, and the proportion infected, reported separately for oysters assigned to each genetic cluster on the 12 focal restored reefs.\n\ncdm_data_type = Other\nVARIABLES:\nyearcoll (unitless)\nind_id (unitless)\nreef (unitless)\nblock (unitless)\nprimary_genetic_assignment (unitless)\nlibrary (unitless)\n... (13 more variables)\n BCO-DMO bcodmo_dataset_1004478_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_920623_v1 https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_920623_v1/ public [Motility assays] - Results from motility assays carried out as part of a study investigating the role of soluble adenylyl cyclase (sAC) in sperm from the gonochoric, broadcast spawning coral Astrangia poculata (Influence of environmental pH variability and thermal sensitivity on the resilience of reef-building corals to acidification stress) Most stony corals liberate their gametes into the water column via broadcast spawning, where fertilization hinges upon the activation of directional sperm motility. Sperm from gonochoric and hermaphroditic corals display distinct morphological and molecular phenotypes, yet it is unknown whether the signallng pathways controlling sperm motility are also distinct between these sexual systems. We addressed this knowledge gap using the gonochoric, broadcast spawning coral Astrangia poculata. This dataset results from motility assays carried out to analyze sperm motility. Data are associated with Glass et al. (2023) Proceedings of the Royal Society B (10.1098/rspb.2023.0085). These data are also published in Dryad under DOI 10.5061/dryad.rn8pk0pg8.\n\ncdm_data_type = Other\nVARIABLES:\nColony (unitless)\nMedium (unitless)\nTreatment (unitless)\nStim (unitless)\nPrct_motile (unitless (percent))\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_920623_v1/index.htmlTable https://www.bco-dmo.org/dataset/920623 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_920623_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_920623_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_920623_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_865909_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_865909_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_865909_v1/ public [Multitracers Biogenic Concentration Data] - Organic carbon, carbonate, and opal data from Multitracers sediment trap samples (Multitracers to Predict Paleoproductivity in the California Current System from Sediment and Sediment Trap Materials) This dataset includes organic carbon, carbonate, and opal concentrations from Multitracers sediment trap samples.\n\ncdm_data_type = Other\nVARIABLES:\nSample_ID (unitless)\nSample_Description (unitless)\nMooring_ID (unitless)\nSample_Type (unitless)\nLatitude (degrees_north)\nlongitude (degrees_east)\nWater_Depth (meters (m))\ndepth (Trap_depth, m)\nCup_num (unitless)\nDate_Cup_Opened (unitless)\nDays_Cup_Open (days)\nCup_vol (milliliters (ml))\nArea (square meters (m2))\nWt_in_cup (grams (g))\nWt_Fract (unitless)\nChlorine (percent (%))\nSalt (percent (%))\nTotal_Flux_mg_cm2_y (milligrams per square centimeter per year (mg/cm2/y))\nTotal_Flux_mg_m2_d (milligrams per square meter per day (mg/m2/d))\nCorg (percent (%))\nOM (percent (%))\nCcarb (percent (%))\nCaCO3 (percent (%))\nBiogenic_SiO2 (percent (%))\nCorg_Flux (milligrams per square meter per day (mg/m2/d))\nOM_flux (milligrams per square meter per day (mg/m2/d))\nCcarb_flux (milligrams per square meter per day (mg/m2/d))\nCaCO3_flux (milligrams per square meter per day (mg/m2/d))\nBiogenic_SiO2_flux (milligrams per square meter per day (mg/m2/d))\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_865909_v1/index.htmlTable https://www.bco-dmo.org/dataset/865909 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_865909_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_865909_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_865909_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_865386_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_865386_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_865386_v1/ public [Multitracers Metal Concentration Data] - Major (Al), minor (Mn, Ba), and trace metal (Cd, Ag, Mo) data from Multitracers sediment trap samples (A Sediment Trap Study to Determine if the Flux of Silver to the Seafloor is Related to Export Productivity) This dataset includes major (Al), minor (Mn, Ba), and trace metal (Cd, Ag, Mo) concentrations from Multitracers sediment trap samples.\n\ncdm_data_type = Other\nVARIABLES:\nSample_ID (unitless)\nSample_Description (unitless)\nMooring_ID (unitless)\nSample_Type (unitless)\nLatitude (degrees_north)\nlongitude (degrees_east)\nWater_Depth (meters (m))\ndepth (Trap_depth, m)\nCup_num (unitless)\nDate_Cup_Opened (unitless)\nDays_Cup_Open (days)\nCup_vol (milliliters (ml))\nArea (square meters (m2))\nWt_in_cup (grams (g))\nWt_Fract (unitless)\nTotal_Flux_mg_cm2_y (milligrams per square centimeter per year (mg/cm2/y))\nTotal_Flux_mg_m2_d (milligrams per square meter per day (mg/m2/d))\nAl (wt percent)\nTi (wt percent)\nBa (micrograms per gram (ug/g))\nMn (micrograms per gram (ug/g))\nMo (micrograms per gram (ug/g))\nAg (micrograms per gram (ug/g))\nCd (micrograms per gram (ug/g))\nTotal_Al_flux (milligrams per square meter per day (mg/m2/d))\nTotal_Ti_flux (milligrams per square meter per day (mg/m2/d))\n... (10 more variables)\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_865386_v1/index.htmlTable https://www.bco-dmo.org/dataset/865386 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_865386_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_865386_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_865386_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_922330_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_922330_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_922330_v1/ public [Multiyear RNA-Seq of Neocalanus flemingeri stages CV and Adult Female] - Multiyear RNA-Seq of Neocalanus flemingeri stages CV and Adult Female from the R/V Tiglax and R/V Sikuliaq in the Northern Gulf of Alaska from 2015-2022 (Collaborative Proposal: Optimizing Recruitment of Neocalanus copepods through Strategic Timing of Reproduction and Growth in the Gulf of Alaska) High-throughput sequencing study of field-collected Neocalanus flemingeri pre-adults (stage CV) and adult females between 2015 and 2022. Dataset includes information and accession numbers of the raw sequence reads. Zooplankton collections were made in the northern Gulf of Alaska in collaboration with the Seward Long-term Monitoring Program and the northern Gulf of Alaska Long-term Ecological Research Program (LTER). Pre-adults were collected during the spring from multiple stations, sorted from net collections and immediately preserved. Adult females were collected mostly from Prince William Sound, but also on one occasion from the Gulf of Alaska. Adult females were collected from depth during diapause and preserved upon net retrieval.  In addition, time series data were generated in three different years to characterize the post-diapause period through the spawning phase. The purpose of the data collection is to generate gene expression profiles during different years and seasons to evaluate developmental stage and physiological state.\n\ncdm_data_type = Other\nVARIABLES:\nExperiment_Accession (unitless)\nExperiment_Title (unitless)\nOrganism_Name (unitless)\nStation (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\nDepth_Range (meters (m))\nDate (unitless)\nYear (unitless)\nMonth (unitless)\nDay (unitless)\nLife_Stage (unitless)\nSex (unitless)\nBioProject (unitless)\nBioSample (unitless)\nSample_Accession (unitless)\nSRA_Run_Accession (unitless)\nStudy_Accession (unitless)\nStudy_Title (unitless)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_922330_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_922330_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_922330_v1/index.htmlTable https://www.bco-dmo.org/dataset/922330 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_922330_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_922330_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_922330_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_659874_v4 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_659874_v4.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_659874_v4/ public [Mumford Cove Monitoring Data] - Temperature, pH, DO, and salinity data from Mumford Cove, Connecticut, USA from 2015-2025 (Collaborative research: Understanding the effects of acidification and hypoxia within and across generations in a coastal marine fish) Despite their importance for research and environmental protection, there's still a shortage of high quality and high-resolution temperature, pH, and oxygen data particularly in shallow coastal habitats. We monitor five important environmental parameters (i.e., depth, temperature, salinity, pH, and dissolved oxygen) at 30 minute intervals in Mumford Cove, CT (41 degrees 19'25\"N, 72 degrees 01'07\"W), a small (2 km N-S × 0.5 km E-W), shallow (1-5 meters), cone-shaped embayment opening to northeastern Long Island Sound, with protected marsh habitat along its western side, marsh and beach habitat along its eastern side, and an extensive seagrass (Zostera marina) cover. Continuous monitoring is achieved by swapping identical and recalibrated probes (Eureka Manta Sub2) every 3-5 weeks.\n\ncdm_data_type = Other\nVARIABLES:\nlocation (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\nserial_number (unitless)\nISO_DateTime_EST (unitless)\ntemp (degrees Celsius)\npH (pH units)\npH_Flag (unitless)\ncond (microsiemens per centimeter (µS/cm))\nHDO_mgl (milligrams per liter (mg/L))\nHDO_percentSat (percent)\nsalinity (PSS)\nsalinity_flag (unitless)\ndepth (m)\ncomments (unitless)\ntime (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_659874_v4_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_659874_v4_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_659874_v4/index.htmlTable https://osprey.bco-dmo.org/dataset/659874 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_659874_v4.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_659874_v4&showErrors=false&email= BCO-DMO bcodmo_dataset_659874_v4
log in [Muscle mercury concentrations in three coastal fish species] - Muscle mercury concentrations in three coastal fish species from the Matagorda Bay region of Texas in the northwestern Gulf of Mexico from 2021 to 2023 (Collaborative Research: Shifting the Hypoxia Paradigm – New Directions to Explore the Spread and Impacts of Ocean/Great Lakes Deoxygenation) This dataset describes the muscle mercury concentrations of individuals of three fish species (Red Drum Sciaenops ocellatus, Southern Flounder Paralichthys lethostigma, and Atlantic Croaker Micropogonias undulatus) in the Matagorda Bay region of Texas in the northwestern Gulf of Mexico.\n\ncdm_data_type = Other\nVARIABLES:\nFishID (unitless)\nSpecies_Code (unitless)\nSpecies (unitless)\nHg (micrograms/gram (ug/g))\nlatitude (Station_latitude, degrees_north)\nlongitude (Station_longitude, degrees_east)\nDate_Collected (unitless)\n BCO-DMO bcodmo_dataset_961606_v1
log in [Mussel gaping in controlled flow] - High-frequency measurements of mussel gaping behavior and dissolved oxygen across flow treatments in laboratory flume experiments at Friday Harbor Laboratories from October to December 2023 (Collaborative Research: Microscale interactions of foundation species with their fluid environment: biological feedbacks alter ecological interactions of mussels) This dataset contains quality-controlled, hourly-averaged measurements of mussel gaping behavior and dissolved oxygen differences collected during controlled laboratory flume experiments conducted at Friday Harbor Laboratories (University of Washington) in autumn 2023. Experiments were designed to quantify how unidirectional flow speed influences oxygen gradients within mussel aggregations and associated valve gaping metrics for three mytilid mussel species: Mytilus trossulus, Mytilus galloprovincialis, and Mytilus californianus. For each species, a monolayer aggregation of mussels was exposed to 10 flow treatments (1.5 to 30 cm s-1), with each maintained for 24 hours; the dataset includes 23 hourly observations per treatment, after removal of the initial flow equilibration period.\n\nThe primary data table provides one record per species, flow treatment, and hour, with the following aggregated metrics: avg_mm (mean valve gape distance, averaged across all instrumented mussels for that hour), Prop_open (mean proportion of time mussels were open during that hour, averaged across instrumented mussels), and avg_diffDO (mean hourly difference in dissolved oxygen between ambient water and interstitial water within the aggregation). Each record also includes the corresponding hourly timestamp (DateTime_h), flow treatment identifier, and flow speed (speed, cm s-1). A biomass density variable (bio.density) is included to facilitate , mcomparisons among species and flow treatments. A companion table provides mussel morphometric and mass measurements used to characterize individual size and biomass.\n\ncdm_data_type = Other\nVARIABLES:\ntime (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\nISO_Datetime_PST (unitless)\nScientific_name (unitless)\nSample_species (unitless)\nFlow_treatment (unitless)\nHour (unitless)\nSpeed (centimeters per second (cm x s-1))\nGape_distance_avg (millimeters (mm))\nProportion_time_open (unitless)\nDO_diff_avg (milligrams per liter (mg x L-1))\nDO_corrected (mg x cm² x gDW-1 x L-1)\nFlow_treatment_num (unitless)\n BCO-DMO bcodmo_dataset_1002871_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_953794_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_953794_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_953794_v1/ public [Mussel gene expression] - Gene expression data from mussels (Mytilus edulis) subjected to stable versus fluctuating temperatures from laboratory experiments conducted in 2023 (Collaborative Research: Microscale interactions of foundation species with their fluid environment: biological feedbacks alter ecological interactions of mussels) We measured gene expression levels of blue mussels (Mytilus edulis Linneaus, 1758) under stable versus fluctuating water temperatures. Mussels were obtained from the intertidal zone at Black Point in Narragansett Bay, RI, USA (41° 24′ 4.4964″ N, 71° 27′ 43.8228″ W) and shipped in chilled coolers overnight to the lab at Carleton College in Northfild MN.  Mussels were acclimated in a recirculating seawater (Instant Ocean, Blacksburg, VA, USA) tank system (Aquaneering Inc., San Marcos, CA, USA) for 2-3 weeks at 14-16°C and fed commercial Shellfish Diet 1800 (Reed Mariculture, Campbell, CA, USA) at a rate of 5% dry mussel tissue weight day-1 \n  \nDuring our experiment, mussels were maintained for five days under one of three stable temperature treatments (e.g., 15, 20, or 25°C) or under a fluctuating temperature treatment between 15 and 25°C. On each day of the experiment, gill tissue from three mussels per temperature treatment were sampled to test for the expression of stress response (hsp70) and cellular respiration (NADH) related genes.\n\ncdm_data_type = Other\nVARIABLES:\nSpecies (unitless)\ndate_local (unitless)\nDay (unitless)\nTemperature (unitless)\nQUBIT_QUANT (nanograms per microliter (ng/uL))\nQUBIT_QUAL (unitless)\nNANO_QUANT (nanograms per microliter (ng/uL))\nA260_to_280 (unitless)\ndelta_delta_Ct (unitless)\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_953794_v1/index.htmlTable https://www.bco-dmo.org/dataset/953794 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_953794_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_953794_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_953794_v1
log in [Mussel lab incubations: periostracum and pH (effect on shell dissolution)] - Lab incubations of mussels (Mytilus californianus) examining the influence of periostracum cover and pH on external shell dissolution at Marshall Gulch Beach, CA from August 2021 to March 2022 (Invertebrate calcification and behavior in seawater of decoupled carbonate chemistry) Reductions to seawater pH challenge the shell integrity of marine calcifiers. Many molluscs have an external organic layer (the periostracum) that limits exposure of underlying shell to the external environment, which could potentially help combat shell dissolution under corrosive seawater conditions. We tested this possibility in adult California mussels, Mytilus californianus. We quantified shell dissolution rates as a function of periostracum cover across three levels of reduced pH (7.7, 7.5, and 7.4 on the total scale). This dataset represents shell dissolution data of California Mussels as a function of shell periostracum cover and pH level from lab experiments conducted at the Bodega Marine Laboratory, University of California, Davis in July and August 2022. For the current study, adult mussels (42 - 64 mm in length) were collected from Marshall Gulch, California (38.369738 °N, -123.073921 °W) between August 2021 and March 2022 and transported immediately to the University of California Davis' Bodega Marine Laboratory (< 30 min distance), in Bodega Bay, California. Mussels were held in filtered, flow-through seawater and fed ad libitum until used in experiments.\n\nFurther experiments on external shell dissolution were performed in the dataset: Lab incubations of mussels (Mytilus californianus) examining the influence of simulated abrasion of periostracum on external shell dissolution at Marshall Gulch Beach, CA from August 2021 to March 2022 (see BCO-DMO related dataset).\n\ncdm_data_type = Other\nVARIABLES:\nINDEX (unitless)\nspecies (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\ndate_in (unitless)\ntime_in (unitless)\ntime_in_UTC (seconds since 1970-01-01T00:00:00Z)\ndate_out (unitless)\ntime_out (unitless)\ntime_out_UTC (seconds since 1970-01-01T00:00:00Z)\n... (17 more variables)\n BCO-DMO bcodmo_dataset_935476_v1
log in [Mussel lab incubations: simulated periostracum abrasion (effect on shell dissolution)] - Lab incubations of mussels (Mytilus californianus) examining the influence of simulated abrasion of periostracum on external shell dissolution at Marshall Gulch Beach, CA from August 2021 to March 2022 (Invertebrate calcification and behavior in seawater of decoupled carbonate chemistry) These data build off of experimental incubations described in Dataset 1. Given that the periostracum can be eroded over time, we were interested in whether the abrasion of the periostracum by sand of differing coarseness might separately influence dissolution rates under corrosive seawater conditions. Therefore, we conducted incubations of abraded California mussel valves, Mytilus californianus, (in addition to unsanded control valves) and measured dissolution rates as a function of sand paper grit coarseness (pH = 7.4). This dataset represents shell dissolution data of California Mussels from lab experiments conducted at the Bodega Marine Laboratory, University of California, Davis in August 2022. For the current study, adult mussels (42 - 64 mm in length) were collected from Marshall Gulch, California (38.369738 °N, -123.073921 °W) between August 2021 and March 2022 and transported immediately to the University of California Davis' Bodega Marine Laboratory (< 30 min distance), in Bodega Bay, California. Mussels were held in filtered, flow-through seawater and fed ad libitum until used in experiments.\n\nDataset 1: Lab incubations of mussels (Mytilus californianus) examining the influence of periostracum cover and pH on external shell dissolution at Marshall Gulch Beach, CA from August 2021 to March 2022 (see BCO-DMO related dataset).\n\ncdm_data_type = Other\nVARIABLES:\nINDEX (unitless)\nspecies (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\ndate_in (unitless)\ntime_in (unitless)\ntime_in_UTC (seconds since 1970-01-01T00:00:00Z)\ndate_out (unitless)\ntime_out (unitless)\ntime_out_UTC (seconds since 1970-01-01T00:00:00Z)\nsanding (unitless)\nph_spec_0 (unitless)\n... (15 more variables)\n BCO-DMO bcodmo_dataset_935480_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_953833_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_953833_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_953833_v1/ public [Mussel respiration rates] - Mussel respiration data from experiments with mussels sourced in WA conducted at University of Washington Friday Harbor Laboratories, Friday Harbor, WA from 2020 to 2023 (Collaborative Research: Microscale interactions of foundation species with their fluid environment: biological feedbacks alter ecological interactions of mussels) From 2021 to 2023, we measured aquatic respiration rates of three species of mytilid mussels (Mytilus trossulus Gould, M. galloprovincialis (L.), and M. californianus Conrad) under a range of water temperatures and velocities. M. californianus was obtained from the intertidal zone at Cattle Point, WA, USA (48.449966, -122.964350) and shipped in chilled coolers to the University of Washington Friday Harbor Laboratories (48.545998, -123.013046). M. trossulus and M. galloprovinicialis were obtained from a commercial supplier (Penn Cove Shellfish, Coupeville, WA, USA). Mussels were acclimated in a recirculating seawater.\n\nWe conducted lab experiments to investigate the effects of multiple environmental stressors (e.g., water temperature and velocity) on physiological responses in three closely-related mytilid mussel species. In closed respirometry chambers  (15 cm × 5 cm × 5 cm, L × W × H), we measured oxygen use by individual mussels under a combination of five temperatures (e.g.,  5, 11, 17, 23, and 29°C) and five velocities (2, 4, 6, 10, and 20 cm s-1) in a fully crossed design. Oxygen concentrations were measured with non-intrusive fiber-optic O2 sensors (Pyroscience, Aachen, DEU). Samples were recorded at a rate of 1 Hz and drift of the O2 probe was negligible (e.g., <0.1% over 2 h at 20°C). Trials were run for 2 h, ensuring that a stable rate of decline could be identified. After each trial, all soft tissues were dried for 72 hours at 60°C (Lindeberg/Blue M Vacuum Oven; ThermoScientific Inc., Waltham, MA, USA) and weighed using an analytical balance (0.001 g; PA153 Pioneer Analytical Balance; Ohaus Corp., Pine Brook, NJ, USA). Data were analyzed to estimate respiration rates using the R package respR (Harianto, 2019).\n\ncdm_data_type = Other\nVARIABLES:\nYear (unitless)\nSpecies (unitless)\nTemperature (degrees Celsius (deg C))\nVelocity (centimeters per second (cm s-1))\nDry_weight (milligrams (mg))\nRespiration (micromoles of O2 per gram per hour (umol O2 g-1 h-1))\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_953833_v1/index.htmlTable https://www.bco-dmo.org/dataset/953833 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_953833_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_953833_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_953833_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_919848_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_919848_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_919848_v1/ public [MV1110 CTD Nutrient and Particle Data] - CTD bottle data matched to dissolved, inorganic nutrient concentrations and to stable isotope measurements of particulate nitrogen and carbon rom R/V Melville cruise MV1110 in the Western Tropical North Atlantic in 2011 (Amazon iNfluence on the Atlantic: CarbOn export from Nitrogen fixation by DiAtom Symbioses) CTD bottle data matched to dissolved, inorganic nutrient concentrations and to stable isotope measurements of particulate nitrogen and carbon.\n\ncdm_data_type = Other\nVARIABLES:\nCruise (unitless)\nAnaconda_Num (unitless)\nNiskin_Bottle (unitless)\nCTD_Cast (unitless)\nStation (unitless)\nStnEvent (unitless)\nlongitude (degrees_east)\nLatitude (degrees_north)\nYearday (unitless)\nDate (unitless)\nMonth (unitless)\nDay (unitless)\nYear (unitless)\ntime_gmt (Time, unitless)\nHour (unitless)\nMinute (unitless)\ntime (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\nprDM (decibars (db))\nAverage_prDM (decibars (db))\ndepSM (m)\nAverage_depSM (m)\nt190C (degrees C, Celsius)\nAverage_t190C (degrees C, Celsius)\nPotential_Temperature (degrees C, Celsius)\nAverage_Potential_Temperature (degrees C, Celsius)\nsal00 (Practical Salinity Units (PSU))\n... (24 more variables)\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_919848_v1/index.htmlTable https://www.bco-dmo.org/dataset/919848 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_919848_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_919848_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_919848_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_919764_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_919764_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_919764_v1/ public [MV1110 Underway Nutrient and Particle Data] - Underway nutrient and particle data from R/V Melville cruise MV1110 in the Western Tropical North Atlantic in 2011 (Amazon iNfluence on the Atlantic: CarbOn export from Nitrogen fixation by DiAtom Symbioses) Dissolved, inorganic nutrient concentrations and stable isotope measurements of particulate nitrogen and carbon collected from the ship's Underway system while transiting between stations.\n\ncdm_data_type = Other\nVARIABLES:\nCruise (unitless)\nUnderway_StnEvent (unitless)\nDate (unitless)\ntime_gmt (Time, unitless)\ntime (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\nLongitude (degrees_north)\nlongitude (Latitude, degrees_east)\nSST (degrees C (Celsius))\nSSS (Practical Salinity Units (PSU))\nMean_PO4 (micromolar (uM))\nMean_Si (micromolar (uM))\nMean_NO3_NO2 (micromolar (uM))\nMean_N (unknown)\nd15N (permil (0/00))\nd13C (permil (0/00))\nC_to_N (unitless)\nTotal_Particulate_N (micromolar (uM))\nTotal_Particulate_C (micromolar (uM))\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_919764_v1/index.htmlTable https://www.bco-dmo.org/dataset/919764 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_919764_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_919764_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_919764_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_897734_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_897734_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_897734_v1/ public [MVCO CARD-FISH hybridization count results] - Group II Syndiniales infected host and dinospore counts determined from CARD-FISH hybridization carried out on samples collected at the Martha's Vineyard Coastal Observatory (MVCO) monthly or bimonthly from September 2019 to October 2020 (Trojan Horses in the Marine Realm: Protist Parasite-host Dynamics in Coastal Waters) This dataset includes Group II Syndiniales infected host and dinospore counts determined from CARD-FISH hybridization carried out on water samples collected at the Martha's Vineyard Coastal Observatory (MVCO) monthly or bimonthly from September 2019 to October 2020 from about 2 meters below the surface. Samples were collected using bucket casts or a CTD. The detailed hybridization method using the ALV01 (Group II) probe can be found at dx.doi.org/10.17504/protocols.io.bsxmnfk6.\n\ncdm_data_type = Other\nVARIABLES:\ndate (unitless)\npercent_infected_hosts (unitless (percent))\nGrpII_dinospores_per_L (per liter)\navg_cells_per_L (per liter)\nlatitude (degrees_north)\nlongitude (degrees_east)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_897734_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_897734_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_897734_v1/index.htmlTable https://www.bco-dmo.org/dataset/897734 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_897734_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_897734_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_897734_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_897547_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_897547_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_897547_v1/ public [MVCO Syndiniales amplicon ASV counts] - Relative abundances of different Syndiniales groups from surface water samples collected at the Martha's Vineyard Coastal Observatory (MVCO) monthly or bimonthly between 2013 and 2021 (Trojan Horses in the Marine Realm: Protist Parasite-host Dynamics in Coastal Waters) The diversity, persistence, and relative abundance of Syndiniales parasite taxa at the Martha's Vineyard Coastal Observatory (MVCO) were examined in surface water samples collected approximately monthly or bimonthly between 2013 and 2021. V4 amplicons from extracted DNA were amplified, sequenced (MiSeq), and taxonomically identified. The relative abundances of different Syndiniales groups and clades were determined and compared to identify the dominant taxa, when they occurred, and how they differed from studies in other marine regions.\n\ncdm_data_type = Other\nVARIABLES:\nlatitude (degrees_north)\nlongitude (degrees_east)\ntaxon (unitless)\ndate (unitless)\ncounts (unitless)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_897547_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_897547_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_897547_v1/index.htmlTable https://www.bco-dmo.org/dataset/897547 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_897547_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_897547_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_897547_v1
log in [Mysid consumption pilot test] - Artemia nauplii consumption by Americamysis bahia as a function of body length from a pilot laboratory experiment (Planktonic Omnivores and Stable Isotopes: Developing, Validating and Field-testing a Multi-species Functional Response Model) This pilot laboratory experiment focused on the effect of mysid length on consumption of Artemia nauplii over a fixed time interval. Experiments were conducted from November 3-6, 2023 using a species of mysid (Americamysis bahia) as the predatory mysid and 1-2 day old Artemia nauplii as the prey. Experiments were conducted at Chesapeake Biological Lab on a slowly rotating grazing wheel. Experimental containers held a single mysid in 250 ml of 14 ppt of artificial seawater (Instant Ocean). Experiments consisted of initial counts of 40 or 60 Artemia nauplii at water temperatures of 22 degrees C. Experiments lasted 4 hrs, after which Artemia nauplii were counted to determine the total number consumed by each mysid. The dataset contains the mysid length, as well as these counts.\n\ncdm_data_type = Other\nVARIABLES:\nSeries (unitless)\nID (unitless)\nMysid_length (mm)\nInitial_artemia_count (unitless)\nFinal_artemia_count (unitless)\nArtemia_consumed (unitless)\n BCO-DMO bcodmo_dataset_986238_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_925893_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_925893_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_925893_v1/ public [Mysid movies - Damariscotta Estuary - Summer 2023] - Movies of mysid aggregations in Damariscotta Estuary, Maine obtained during the summer of 2023 (Collaborative Research: Characterizing benthic mysid ecology and animal-fluid interactions in response to background flow, food, and light conditions) Mysid shrimp are a group of zooplankton that are distributed in diverse aquatic environments – freshwater, marine and estuarine – in both shallow and deep waters throughout the world. Due to their ubiquitous presence, mysids form a critical link in marine food webs; however, much remains unknown about their ecology and interactions with their local surroundings. This study aims to conduct a comprehensive investigation of mysid behavior in their natural environment, including their interactions and distribution under varying local flow, food and light conditions. The survey will involve developing and deploying a novel in situ imaging system to study mysids in coastal Maine over the span of two summers.\n\nThis dataset contains raw movies of mysid aggregations obtained during summer 2023.\n\ncdm_data_type = Other\nVARIABLES:\nDate_Local (unitless)\nStart_Time_Local (unitless)\nEnd_Time_Local (unitless)\nLocation (decimal degrees)\nlatitude (degrees_north)\nlongitude (degrees_east)\nPrimary_Folder (unitless)\nPrimary_Movie (unitless)\nSecondary_Folder (unitless)\nSecondary_Movie (unitless)\nCamera_FPS (unitless)\nStrobe_Light_Color (unitless)\nImage_Numbers (unitless)\nCamera_Orientation (unitless)\ntime (Start_datetime_utc, seconds since 1970-01-01T00:00:00Z)\nEnd_DateTime_UTC (seconds since 1970-01-01T00:00:00Z)\nImage_Storage_GB (Gigabytes (GB))\nVideo_Storage_GB (Gigabytes (GB))\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_925893_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_925893_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_925893_v1/index.htmlTable https://www.bco-dmo.org/dataset/925893 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_925893_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_925893_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_925893_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_969121_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_969121_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_969121_v1/ public [N2O isotopes in the Southern Benguela Upwelling System, February 2017] - Nutrient, CTD Profile, and Nitrous oxide data from the Southern Benguela Upwelling System (Integrated Environmental Programme, February 2017) (Collaborative Research: Exploring the dynamics of nitrous oxide in the Southern Benguela Upwelling System) This dataset includes the CTD profile data, nutrients, and N2O concentration and isotope data for the 2017 IEP (Integrated Ecosystem Programme) off the west coast of South Africa in the Southern Benguela Upwelling system, on board the R/V Mirabilis. Data were collected using the following instruments: a rosette equipped with Sea-Bird SBE 911 CTD and oxygen (Sea-Bird SBD 43) sensors and 12 6-liter Niskin bottles, a Lachat QuickChem® flow injection auto-analysis (FIA) platform, a Turner Designs Trilogy fluorometer equipped with a UV module, and a Gas Chromatography (GC)-IRMS analyser. Low oxygen zones are hotspots for N2O production. We assessed the mechanisms of N2O production using isotope data in the Southern Benguela Upwelling System. Measurements took place in the Marine Biogeochemistry Lab at the University of Cape Town and the Bourbonnais Lab at the University of South Carolina.\n\ncdm_data_type = Other\nVARIABLES:\nCruise_ID (unitless)\nStation_ID (unitless)\ntime (Iso_datetime_gmt, seconds since 1970-01-01T00:00:00Z)\nDate (unitless)\ntime_unitless (Time, unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\nBottom_depth (meters (m))\nPressure (decibars (db))\ndepth (m)\nTemperature (degrees Celsius)\nSalinity (practical salinity units (PSU))\nOxygen_mL_L (milliliters per liter (mL/L))\nOxygen_umol_kg (micromole per kg)\nNitrate (micromolar (uM))\nNitrite (micromolar (uM))\nPhosphate (micromolar (uM))\nSilicate (micromolar (uM))\n... (7 more variables)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_969121_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_969121_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_969121_v1/index.htmlTable https://osprey.bco-dmo.org/dataset/969121 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_969121_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_969121_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_969121_v1
log in [N2O Profiles from RR2311] - Nitrite, ammonium, nitrate, and nitrous oxide concentrations from R/V Roger Revelle cruise RR2311 in the Eastern Tropical South Pacific from November to December 2023 (Nitrite Oxidation in Oxygen Minimum Zones) Water samples were collected as part of a 32-day cruise on the R/V Roger Revelle, cruise RR2311, from November to December 2023 in the Eastern Tropical South Pacific, aiming to study nitrification in this oxygen minimum region of the ocean. Nitrite, ammonium, nitrate, and nitrous oxide concentrations were measured. High-resolution profiles were obtained at 5 process and 2 transect stations. Nitrous oxide samples were collected on the first cast upon arrival at a process station, and in one case on the last day, of a 2-5 day station occupation.\n\ncdm_data_type = Other\nVARIABLES:\nStation (unitless)\nDate_local (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\nCast (unitless)\nNiskin (unitless)\ndepth (m)\nNitrite (micromoles per liter (µmol/L))\nNH4 (micromoles per liter (µmol/L))\nNO3 (micromoles per liter (µmol/L))\nN2O (nanomoles per liter (nmol/L))\nNotes (unitless)\n BCO-DMO bcodmo_dataset_1005453_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_906562_v2 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_906562_v2.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_906562_v2/ public [Narragansett Bay RWU Time-series] - Water characteristics measured in Narragansett Bay over two years, from March 2021 to September 2023 (Collaborative research: Characterization of Synechococcus-cyanophage interactions across phylogenetic and temporal scales) This dataset includes basic water characteristics measured in Narragansett Bay (Rhode Island, USA) over two years as part of a study of the dynamics of marine cyanobacteria (Synechococcus) and viruses infecting cyanobacteria (cyanophage) in this estuarine ecosystem. The project principal investigators include Nathan Ahlgren (Clark University) and Marcie Marston (Roger Williams University), and the latter collected the data and water with the assistance of students and/or technicians. Water was sampled and measured once per week for a span of two and a half years. Water was sampled from a dock located on the campus of Roger Williams University (RWU) at an approximate latitude and longitude coordinates of 41.649737, -71.256378. Water was collected on an incoming tide in the morning and the following parameters were measured: water temperature, salinity, in situ chlorophyll a, nitrate + nitrite, phosphate, and silicate. Water samples were collected and preserved for measurement of Synechococcus abundance by flow cytometry at a later date.\n\ncdm_data_type = Other\nVARIABLES:\nISO_DateTime_Local (unitless)\ntime (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\nWaterTemp (degrees Celsius)\nAirTemp (degrees Fahrenheit)\nSalinity (Practical salinity units (PSU))\nChlA (micrograms per liter (ug/L))\nNO2NO3 (micromolar (uM))\nPO4 (micromolar (uM))\nSiO4 (micromolar (uM))\nNH4 (micromolar (uM))\nNO2 (micromolar (uM))\nNH4_flag (unitless)\nNO3NO2_flag (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_906562_v2_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_906562_v2_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_906562_v2/index.htmlTable https://osprey.bco-dmo.org/dataset/906562 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_906562_v2.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_906562_v2&showErrors=false&email= BCO-DMO bcodmo_dataset_906562_v2
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_933216_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_933216_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_933216_v1/ public [NBP1201 CTD Profiles] - CTD profile casts collected on the RVIB Nathaniel B. Palmer cruise NBP1201 in the Ross Sea from December 2011 to February 2012 (Processes Regulating Iron Supply at the Mesoscale - Ross Sea) This dataset of CTD profile casts was collected on the RVIB Nathaniel B. Palmer, cruise ID NBP1201, in the Antarctic. The cruise took place from December 24, 2011 to February 10, 2012, and was conducted as part of the PRISM-RC project, \"Processes Regulating Iron Supply at the Mesoscale - Ross Sea\".\n\ncdm_data_type = Other\nVARIABLES:\ncruise_id (unitless)\nstation (unitless)\ntime (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\nyear (unitless)\nmonth (unitless)\nday (unitless)\nhour (unitless)\nminute (unitless)\nsecond (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\ntimeS (seconds)\nprDM (decibars (db))\nt090C (degrees Celsius)\nt190C (degrees Celsius)\nc0S_m (siemens per meter (S/m))\nc1S_m (siemens per meter (S/m))\nflECO_AFL (milligrams per cubic meter (mg/m^3))\nxmiss (unitless (percent))\naltM (meters (m))\npar (microEinsteins per square meter per second (uE/m^2/s))\ncpar (unitless (percent))\nspar (microEinsteins per square meter per second (uE/m^2/s))\nsbeox0V (volts (V))\n... (12 more variables)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_933216_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_933216_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_933216_v1/index.htmlTable https://www.bco-dmo.org/dataset/933216 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_933216_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_933216_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_933216_v1
log in [NCBI accessions for RNAseq data from apparently healthy and SCTLD-affected Montastraea cavernosa] - RNAseq data from apparently healthy and Stony Coral Tissue Loss Disease-affected Montastraea cavernosa coral collected from St. Thomas, US Virgin Islands in 2020 (RAPID: Collaborative Research: Predicting the Spread of Multi-Species Coral Disease Using Species Immune Traits) These data include raw RNAseq reads from Montastraea cavernosa collected from two reefs in St. Thomas, United States Virgin Islands. Samples were collected from two reefs showing signs of active stony coral tissue loss disease (SCTLD) in February of 2020: Buck Island and Black Point. Black Point, a nearshore reef, first exhibited cases of SCTLD between December 2018 and January 2019, whereas Buck Island, situated near an offshore undeveloped island, recorded its first cases of SCTLD in October 2019. At both sites, one coral fragment was collected from each apparently health colony (Buck Island, n = 3; Black Point, n = 3), termed apparently healthy tissue on an apparently healthy colony (HH). Two fragments were collected from each diseased colony: one immediately adjacent to the SCTLD lesion line (Buck Island, n = 3: Black Point, n = 5), termed lesion tissue on a diseased colony (LD), and one as far away from the lesion line as possible (approximately 10 cm from the lesion line) (Buck Island, n = 3; Black Point, n = 5), termed apparently healthy tissue on a diseased colony (HD). Sample and data analysis was performed in January 2024. Sequences were used in a feature selection algorithm to identify the genes in M. cavernosa and its dominant algal endosymbiont, Cladocopium goreaui, that best discriminate between the three SCTLD health states. By characterizing the gene expression profiles associated with various tissue health states in M. cavernosa and C. goreaui, this data supports evidence that SCTLD causes dysbiosis between the coral host and its Symbiodiniaceae and describes the metabolic and immune shifts that occur as the holobiont transitions from an apparently healthy state to a diseased state.\n\ncdm_data_type = Other\nVARIABLES:\nSample_ID (unitless)\nNCBI_BioProject_accession (unitless)\nNCBI_BioSample_accession (unitless)\nNCBI_SRA_accession (unitless)\nSample_type (unitless)\nCoral_species (unitless)\nReef_Name (unitless)\nReef_type (unitless)\nCollection_Date (unitless)\nlatitude (degrees_north)\n... (15 more variables)\n BCO-DMO bcodmo_dataset_935630_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_942699_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_942699_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_942699_v1/ public [NCP on AR29, RB1904 and TN368] - Continuous rates of net community production and the O2/Ar data on the US Northeastern Shelf in the SPIROPA project during spring and summer 2018 and 2019. (Collaborative Research:  Shelfbreak Frontal Dynamics: Mechanisms of Upwelling, Net Community Production, and Ecological Implications) An at-sea equilibrator inlet mass spectrometer was used onboard  three cruises in 2018 and 2019 in the Northeastern US Shelf as part of the SPIROPA project in order to measure ratios of O2/Ar in the underway water. The gas ratios were used to calculate rates of net community production at kilometer scale resolution. This dataset thus contains the gas ratios as well as the calculated rates. The data was collected on the R/V Armstrong from 4/16/18 to 4/29/18, on the NOAA ship Ron Brown from 5/12/2019 to 5/25/2019 and on the R/V Thompson from 7/5/2019 to 7/17/2019.  This high spatial resolution data enables us to see submesoscale variability in rates of net community production and to assess whether changes in rates of NCP are co-located with physical processes. This dataset also contains necessary metadata such as location and time as well as useful data from shipboard CTD sensors such as temperature and salinity. Gas transfer rates are required to calculate rates of NCP from gas tracer data. The data includes the gas transfer rates that were used in the calculations, which were determined from NCEP reanalysis winds, a 60 day weighting scheme, and the gas exchange parameterization of Stanley et al., 2009. NCP was calculated based on mass balance with typical assumptions of steady state and negligible vertical and horizontal mixing.  Details on how NCP rates were calculated from the O2/Ar data are available in Stanley et al. (in press at L&O) and Castillo Cieza et al (2024).\n\ncdm_data_type = Other\nVARIABLES:\nCruise (unitless)\ntime (seconds since 1970-01-01T00:00:00Z)\nO2_Ar_corrected (unitless)\nTemperature (degrees Celsius (°C))\nSalinity (PSU)\nlatitude (degrees_north)\nlongitude (degrees_east)\nCum_Distance (Kilometer (km))\nbiosat (percentage (%))\nNCP (mmol O2 /m2/day)\ngas_transfer_velocity (k (m/d))\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_942699_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_942699_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_942699_v1/index.htmlTable https://osprey.bco-dmo.org/dataset/942699 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_942699_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_942699_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_942699_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_920883_v1 https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_920883_v1/ public [Nematostella ocean acidification experiment: Adult respiration] - Adult respiration after spawning following parental ocean acidification during lab experiments conducted in spring 2022. (Influence of environmental pH variability and thermal sensitivity on the resilience of reef-building corals to acidification stress) Ocean acidification (OA) resulting from anthropogenic CO2 emissions is impairing the reproduction of marine organisms. While parental exposure to OA can protect offspring via carryover effects, this phenomenon is poorly understood in many marine invertebrate taxa. We examined how parental exposure to acidified (pH 7.40) versus ambient (pH 7.72) seawater influenced reproduction and offspring performance across six gametogenic cycles (13 weeks) in the estuarine sea anemone Nematostella vectensis. This dataset pertains to the reproductive physiology of adult organisms from this study: adult respiration.\n\ncdm_data_type = Other\nVARIABLES:\nTreatment (unitless)\nSex (unitless)\nRespiration_Rate (nmol/min)\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_920883_v1/index.htmlTable https://www.bco-dmo.org/dataset/920883 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_920883_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_920883_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_920883_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_923267_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_923267_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_923267_v1/ public [Nematostella ocean acidification experiment: Egg Size per Bundle] - Eggs size per bundle measurements following parental ocean acidification during lab experiments conducted in spring 2022. (Influence of environmental pH variability and thermal sensitivity on the resilience of reef-building corals to acidification stress) Ocean acidification (OA) resulting from anthropogenic CO2 emissions is impairing the reproduction of marine organisms. While parental exposure to OA can protect offspring via carryover effects, this phenomenon is poorly understood in many marine invertebrate taxa. We examined how parental exposure to acidified (pH 7.40) versus ambient (pH 7.72) seawater influenced reproduction and offspring performance across six gametogenic cycles (13 weeks) in the estuarine sea anemone Nematostella vectensis. This dataset pertains to the reproductive physiology of adult organisms from this study: egg size per bundle.\n\ncdm_data_type = Other\nVARIABLES:\nTreatment (unitless)\nDate (unitless)\nAverage_egg_size (centimeter (cm))\nNumber_of_eggs (number of egss)\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_923267_v1/index.htmlTable https://www.bco-dmo.org/dataset/923267 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_923267_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_923267_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_923267_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_921037_v1 https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_921037_v1/ public [Nematostella ocean acidification experiment: Egg Size] - Egg size measurements following parental ocean acidification during lab experiments conducted in spring 2022. (Influence of environmental pH variability and thermal sensitivity on the resilience of reef-building corals to acidification stress) Ocean acidification (OA) resulting from anthropogenic CO2 emissions is impairing the reproduction of marine organisms. While parental exposure to OA can protect offspring via carryover effects, this phenomenon is poorly understood in many marine invertebrate taxa. We examined how parental exposure to acidified (pH 7.40) versus ambient (pH 7.72) seawater influenced reproduction and offspring performance across six gametogenic cycles (13 weeks) in the estuarine sea anemone Nematostella vectensis. This dataset pertains to the reproductive physiology of adult organisms from this study: egg size.\n\ncdm_data_type = Other\nVARIABLES:\nTreatment (unitless)\nDate (unitless)\nEgg_Diameter (centimeters (cm))\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_921037_v1/index.htmlTable https://www.bco-dmo.org/dataset/921037 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_921037_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_921037_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_921037_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_921025_v1 https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_921025_v1/ public [Nematostella ocean acidification experiment: Female Fecundity] - Female fecundity following parental ocean acidification during lab experiments conducted in spring 2022. (Influence of environmental pH variability and thermal sensitivity on the resilience of reef-building corals to acidification stress) Ocean acidification (OA) resulting from anthropogenic CO2 emissions is impairing the reproduction of marine organisms. While parental exposure to OA can protect offspring via carryover effects, this phenomenon is poorly understood in many marine invertebrate taxa. We examined how parental exposure to acidified (pH 7.40) versus ambient (pH 7.72) seawater influenced reproduction and offspring performance across six gametogenic cycles (13 weeks) in the estuarine sea anemone Nematostella vectensis. This dataset pertains to the reproductive physiology of adult organisms from this study: female fecundity.\n\ncdm_data_type = Other\nVARIABLES:\nDate (unitless)\nTreatment (unitless)\nEggs_Released (unitless)\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_921025_v1/index.htmlTable https://www.bco-dmo.org/dataset/921025 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_921025_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_921025_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_921025_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_920812_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_920812_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_920812_v1/ public [Nematostella ocean acidification experiment: Fertilization] - Fertilization rate of gametes following parental ocean acidification during lab experiments conducted in spring 2022. (Influence of environmental pH variability and thermal sensitivity on the resilience of reef-building corals to acidification stress) Ocean acidification (OA) resulting from anthropogenic CO2 emissions is impairing the reproduction of marine organisms. While parental exposure to OA can protect offspring via carryover effects, this phenomenon is poorly understood in many marine invertebrate taxa.  We examined how parental exposure to acidified (pH 7.40) versus ambient (pH 7.72) seawater influenced reproduction and offspring performance across six gametogenic cycles (13 weeks) in the estuarine sea anemone Nematostella vectensis. This dataset pertains to the physiology of gametes released by adults in the OA treatment, specifically the fertilization rates.\n\ncdm_data_type = Other\nVARIABLES:\nDate (unitless)\nTreatment (unitless)\nSperm_Concentration (cells/mL)\nFertilization_Success (percentage (%))\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_920812_v1/index.htmlTable https://www.bco-dmo.org/dataset/920812 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_920812_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_920812_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_920812_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_920260_v1 https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_920260_v1/ public [Nematostella ocean acidification experiment: Larval respiration] - Larval respiration performance of Nematostella vectensis following parental exposure to ocean acidification during lab experiments conducted in spring 2022. (Influence of environmental pH variability and thermal sensitivity on the resilience of reef-building corals to acidification stress) Ocean acidification (OA) resulting from anthropogenic CO2 emissions is impairing the reproduction of marine organisms. While parental exposure to OA can protect offspring via carryover effects, this phenomenon is poorly understood in many marine invertebrate taxa. We examined how parental exposure to acidified (pH 7.40) versus ambient (pH 7.72) seawater influenced reproduction and offspring performance across six gametogenic cycles (13 weeks) in the estuarine sea anemone Nematostella vectensis. This dataset pertains to the performance of larvae following parental exposure to ocean acidification, specifically larval respiration.\n\ncdm_data_type = Other\nVARIABLES:\nTreatment (unitless)\nDate (unitless)\nRespiration_Rate_nmol_O2_per_minute (nmol oxygen consumed per minute)\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_920260_v1/index.htmlTable https://www.bco-dmo.org/dataset/920260 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_920260_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_920260_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_920260_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_923183_v1 https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_923183_v1/ public [Nematostella ocean acidification experiment: Larval settlement] - Settled larvae 7 days post-fertilization following parental ocean acidification during lab experiments conducted in spring 2022. (Influence of environmental pH variability and thermal sensitivity on the resilience of reef-building corals to acidification stress) Ocean acidification (OA) resulting from anthropogenic CO2 emissions is impairing the reproduction of marine organisms. While parental exposure to OA can protect offspring via carryover effects, this phenomenon is poorly understood in many marine invertebrate taxa. We examined how parental exposure to acidified (pH 7.40) versus ambient (pH 7.72) seawater influenced reproduction and offspring performance across six gametogenic cycles (13 weeks) in the estuarine sea anemone Nematostella vectensis. This dataset pertains to the performance of larvae following parental exposure to ocean acidification, specifically larval settlement.\n\ncdm_data_type = Other\nVARIABLES:\nDate (unitless)\nTreatment (unitless)\nPercent_larvae_settled (percentage (%))\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_923183_v1/index.htmlTable https://www.bco-dmo.org/dataset/923183 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_923183_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_923183_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_923183_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_920909_v1 https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_920909_v1/ public [Nematostella ocean acidification experiment: Male Fecundity] - Male fecundity following parental ocean acidification during lab experiments conducted in spring 2022. (Influence of environmental pH variability and thermal sensitivity on the resilience of reef-building corals to acidification stress) Ocean acidification (OA) resulting from anthropogenic CO2 emissions is impairing the reproduction of marine organisms. While parental exposure to OA can protect offspring via carryover effects, this phenomenon is poorly understood in many marine invertebrate taxa. We examined how parental exposure to acidified (pH 7.40) versus ambient (pH 7.72) seawater influenced reproduction and offspring performance across six gametogenic cycles (13 weeks) in the estuarine sea anemone Nematostella vectensis. This dataset pertains to the reproductive physiology of adult organisms from this study: male fecundity.\n\ncdm_data_type = Other\nVARIABLES:\nTreatment (unitless)\nDate (unitless)\nSperm_Released (unitless)\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_920909_v1/index.htmlTable https://www.bco-dmo.org/dataset/920909 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_920909_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_920909_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_920909_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_923171_v1 https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_923171_v1/ public [Nematostella ocean acidification experiment: Planula development] - Larvae in the planula stage 3 days post-fertilization following parental ocean acidification during lab experiments conducted in spring 2022. (Influence of environmental pH variability and thermal sensitivity on the resilience of reef-building corals to acidification stress) Ocean acidification (OA) resulting from anthropogenic CO2 emissions is impairing the reproduction of marine organisms. While parental exposure to OA can protect offspring via carryover effects, this phenomenon is poorly understood in many marine invertebrate taxa. We examined how parental exposure to acidified (pH 7.40) versus ambient (pH 7.72) seawater influenced reproduction and offspring performance across six gametogenic cycles (13 weeks) in the estuarine sea anemone Nematostella vectensis. This dataset pertains to the performance of larvae following parental exposure to ocean acidification, specifically larval development.\n\ncdm_data_type = Other\nVARIABLES:\nTreatment (unitless)\nDate (unitless)\nPrct_planula (Percentage (%))\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_923171_v1/index.htmlTable https://www.bco-dmo.org/dataset/923171 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_923171_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_923171_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_923171_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_920827_v1 https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_920827_v1/ public [Nematostella ocean acidification experiment: Sperm MMP] - Mitochondrial membrane potential (MMP) of male gametes following parental ocean acidification during lab experiments conducted in spring 2022. (Influence of environmental pH variability and thermal sensitivity on the resilience of reef-building corals to acidification stress) Ocean acidification (OA) resulting from anthropogenic CO2 emissions is impairing the reproduction of marine organisms. While parental exposure to OA can protect offspring via carryover effects, this phenomenon is poorly understood in many marine invertebrate taxa.  We examined how parental exposure to acidified (pH 7.40) versus ambient (pH 7.72) seawater influenced reproduction and offspring performance across six gametogenic cycles (13 weeks) in the estuarine sea anemone Nematostella vectensis. This dataset pertains to the physiology of gametes released by adults in the OA treatment, specifically the mitochondrial membrane potential (MMP) of sperm.\n\ncdm_data_type = Other\nVARIABLES:\nTreatment (unitless)\nDate (unitless)\nPercent_High_Mitochondrial_Membrane_Potential (percentage (%))\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_920827_v1/index.htmlTable https://www.bco-dmo.org/dataset/920827 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_920827_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_920827_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_920827_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_914459_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_914459_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_914459_v1/ public [Neocalanus flemingeri incubation experiment:  gene expression] - Gene expression profiles for Neocalanus flemingeri pre adults (CV) exposed to four different experimental food conditions collected from the M/V Dora in the Gulf of Alaska at station GAK1 from April 2019 (Collaborative Research: Molecular profiling of the ecophysiology of dormancy induction in calanid copepods of the Northern Gulf of Alaska LTER site) This experimental dataset includes relative expression of individual Neocalanus flemingeri stage CV individuals incubated for different lengths of time and four different food treatments. The experimental protocol and results are described in detail in Roncalli et al., 2023. Briefly, field-collected N. flemingeri were allowed to molt into stage CV and then sorted into four different treatments: no food, low carbon, high carbon and high carbon with diatoms. After a one-week incubation, individuals from all four treatments were processed individually for RNA-Seq. In addition, following two and three-week incubations, copepods from the three fed treatments were processed individually for RNA-Seq. Short-sequence reads were mapped against a reference transcriptome and normalized gene expression was computed for each transcript. The dataset includes log-transformed relative gene expression in reads per kilobase per million reads (RPKM) (log2[RPKM+1]). The dataset also includes a list of differentially expressed genes and a look-up table that cross-references the hierarchical identifications of transcripts generated by the Trinity assembly software and the corresponding National Center for Biotechnology Information (NCBI) accession number. \n\nThese data are further described in the following publications: Roncalli, et al. (2023) (DOI: 10.1093/plankt/fbad045) and Roncalli, et al. (2019) (DOI: 10.1038/s42003-019-0565-5)\n\ncdm_data_type = Other\nVARIABLES:\nseq_id (unitless)\nGenbank_accession (unitless)\nOrganism_Name (unitless)\nStation (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\nCollection_date (unitless)\nYear (unitless)\nMonth (unitless)\nDay (unitless)\nDepth_range (meters (m))\n... (33 more variables)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_914459_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_914459_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_914459_v1/index.htmlTable https://www.bco-dmo.org/dataset/914459 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_914459_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_914459_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_914459_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_907880_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_907880_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_907880_v1/ public [Neocalanus flemingeri lipid fullness] - Post-diapause Neocalanus flemingeri females morphometric measurements and calculations of lipid fullness and lipid volume taken from the R/V Sikuliaq and the R/V Tiglax in the Northern Gulf of Alaska from 2019-06-30 to 2019-09-13 (Collaborative Proposal: Optimizing Recruitment of Neocalanus copepods through Strategic Timing of Reproduction and Growth in the Gulf of Alaska) Morphometric data on Neocalanus flemingeri females were made on individuals collected in diapause in June and September, 2019 and after incubation in the laboratory for up to 4.5 weeks. Collections were made from depth in Prince William Sound in the Gulf of Alaska during two NGA LTER cruises. After sorting, females were incubated in flasks at 4-6ºC for up to 4.5 weeks. Individuals were removed for imaging and experimental incubations to study oocyte production. Morphometric analysis was used to measure prosome length and area as well as lipid sac area for lipid fullness and lipid volume calculations. Lipid consumption during diapause was minimal and modest initially.\n\ncdm_data_type = Other\nVARIABLES:\nStation (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\nDate_collected (unitless)\nCollection_month (unitless)\nSpecies (unitless)\nSex (unitless)\nEdU_sample_ID_number (unitless)\nUsed_in_EdU_experiments (unitless)\nLength_of_EdU_incubation_in_hours (hours)\nImage_number_light_microscope (unitless)\nDate_image_was_taken (unitless)\nTime_point (hours or weeks)\nTime_point_in_days (days)\nProsome_length (millimeters (mm))\nProsome_area (square millimeters (mm^2))\nLipid_area (square millimeters (mm^2))\nLipid_volume (milligrams (mg))\nLipid_fullness_percentage (percent (%))\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_907880_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_907880_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_907880_v1/index.htmlTable https://www.bco-dmo.org/dataset/907880 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_907880_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_907880_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_907880_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_908514_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_908514_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_908514_v1/ public [Neocalanus flemingeri oocyte production] - Oocytes formation in post-diapause Neocalanus flemingeri females from the R/V Sikuliaq and the R/V Tiglax in the Northern Gulf of Alaska from 2019-06-30 to 2019-09-13 (Collaborative Proposal: Optimizing Recruitment of Neocalanus copepods through Strategic Timing of Reproduction and Growth in the Gulf of Alaska) These data are from a study on the formation of oocytes in post-diapause Neocalanus flemingeri females collected from depth in Prince William Sound in the Gulf of Alaska. Collections were made during two NGA LTER cruises. After sorting, females were incubated in flasks and removed for experimental incubations and imaging. Oocyte production by post-diapause females that involved DNA replication in the ovary and oviducts was examined using incubation in 5-Ethynyl-2'-deoxyuridine (EdU). Both oogonia and oocytes incorporated EdU, with the number of EdU labeled cells peaking at 72 hours following diapause termination. Cells labeling with EdU remained high for two weeks, decreasing thereafter with no labeling detected by four weeks post diapause, and three to four weeks before spawning of the first clutch of eggs. By limiting DNA replication to the initial phase, the females effectively separate oocyte production from oocyte provisioning.\n\ncdm_data_type = Other\nVARIABLES:\nStation (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\nDate_collected (unitless)\nCollection_month (unitless)\nSpecies (unitless)\nSex (unitless)\nEdU_sample_ID_number (unitless)\nAmount_of_EdU (milligrams (mg))\nIncubation_date_at_start (unitless)\nLength_of_EdU_incubation_in_hours (hours)\nTime_point_in_days (days)\nNumber_of_cells_replicating (unitless)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_908514_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_908514_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_908514_v1/index.htmlTable https://www.bco-dmo.org/dataset/908514 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_908514_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_908514_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_908514_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_852896_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_852896_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_852896_v1/ public [Neocalanus Multinet] - Neocalanus distribution, mean length, mean weight, abundance and biomass from the Gulf of Alaska , Fall 2015, 2016 and 2017 (Collaborative Proposal: Optimizing Recruitment of Neocalanus copepods through Strategic Timing of Reproduction and Growth in the Gulf of Alaska) Neocalanus distribution, mean length, mean weight, abundance and biomass from the Gulf of Alaska, Fall 2015, 2016 and 2017\n\ncdm_data_type = Other\nVARIABLES:\nCruise (unitless)\ntime (Datetime, seconds since 1970-01-01T00:00:00Z)\nStation (unitless)\nLatitude (degrees_north)\nlongitude (degrees_east)\nNetNo (unitless)\nMaximumDepth (m)\nMinimumDepth (m)\nAPHIAID (unitless)\nScientificName (unitless)\nLifeStage (unitless)\nAbundance ((#/m3))\nMeanLength ((um))\nMeanDryWeight ((ug))\nBiomass ((mgDW/m3))\nComment (units)\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_852896_v1/index.htmlTable https://www.bco-dmo.org/dataset/852896 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_852896_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_852896_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_852896_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_1000920_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_1000920_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_1000920_v1/ public [Nereocystis geographic patterns in physiology and microbiome] - Nereocystis luetkeana geographic patterns in physiology and microbiome from samples collected from 2019 to 2022 at nine sites spanning more than 200 kilometers in Washington state (The role of microbes in driving productivity and carbon fixation in seaweeds) Canopy kelp are foundational species in coastal ecosystems and host diverse bacterial communities. We used these data to test the association between bull kelp (Nereocystis luetkeana) host traits, blade-associated bacterial taxa and seawater environmental features across nine sites spanning more than 200 kilometers in Washington state. The data collection spans the outer coast site Tatoosh Island, at the entrance of the Strait of Juan de Fuca. Data collection extended eastward to include sites within the Strait of Juan de Fuca and central and southern Puget Sound. Kelp traits and seawater features that were measured are contained within this dataset and include carbon fixation and DOC release, morphometrics of kelp, and nutrient content. Seawater features that were measured were nutrients, sea surface temperature, and salinity in the surrounding water column. Microbial community data based on 16S rRNA amplicon sequencing of kelp blades across all sites are archived at the National Center for Biotechnology Information (NCBI) under BioProject number PRJNA1301461. Bacterial taxa showed differentiation among sites, and blade-associated bacterial densities were higher at the outer coast site compared with the most inland site. Yet, 11 bacterial genera were present in at least 80% of the samples; these taxa probably serve as core members of the N. luetkeana microbiome and show both positive and negative correlations with host health and environmental features. The data indicated strong interrelationships between kelp traits, seawater features and bacterial community composition with implications for the health of this highly productive foundational species in coastal ecosystems. This dataset supports the 2025 Pfister, et al. paper published in Royal Society Open Science (DOI: 10.1098/rsos.250637).\n\ncdm_data_type = Other\nVARIABLES:\nyear (unitless)\ndate (Unitless)\nmonth (unitless)\nlocale (unitless)\nregion (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\nreplicate (unitless)\nwetmass_g (grams)\n... (29 more variables)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_1000920_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_1000920_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_1000920_v1/index.htmlTable https://osprey.bco-dmo.org/dataset/1000920 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_1000920_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_1000920_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_1000920_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_959033_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_959033_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_959033_v1/ public [nGoM benthic chamber between July 2021 and July 2022] - Benthic chamber geochemical data obtained with an in situ benthic lander from the R/V Savannah at sampling stations across the Louisiana shelf and slope in the Northern Gulf of Mexico during four cruise between July 2021 and July 2022 (Importance of Riverine Discharge on the Benthic Flux of Alkalinity to Continental Margins) This data set reports benthic flux measurements of dissolved inorganic carbon (DIC), orthophosphate (SPO43-), ammonium (NH4+), total alkalinity (TA), carbon isotopic fractionation of DIC (13-C-DIC), dissolved manganese (Mnd), dissolved calcium (Cad), nitrate (NO3-), and excess bromide (Br-) injected in the chamber as chemical tracer. \n \nIn summer 2021, benthic flux data were obtained from benthic chamber deployments at eleven different stations on the Louisiana Shelf and slope in the Northern Gulf of Mexico during July 15-27, 2021 using two different benthic landers. These stations span two transects, one from the middle of the shelf offshore from Cocodrie, LA to the mouth of the Mississippi River North West Pass, and another from North West Pass of the Mississippi River mouth to the south, across the slope. A single station (St. 15) was also sampled on the eastern side of the second transect in the transition from the shelf break to the mid-slope. All benthic chamber samples were processed within an hour after collection. \n \nIn fall 2021, benthic flux data were obtained from benthic chamber deployments at ten different stations on the Louisiana Shelf and slope in the Northern Gulf of Mexico between October 25 and November 10, 2021 using two different benthic landers. These stations span two transects, one from the middle of the shelf offshore from Cocodrie, LA to the mouth of the Mississippi River South West Pass, and another from South West Pass of the Mississippi River mouth to the south, across the slope. Two stations (St. 15 and St. 12) were also sampled on a second transect from the shelf break to the slope southeast of the Bird's Foot. \n \nIn spring 2022, benthic flux data were obtained from benthic chamber deployments at ten different stations on the Louisiana Shelf and slope in the Northern Gulf of Mexico during April 9-20, 2021 using two different benthic landers. These stations span two transects, one from the middle of the shelf offshore from Cocodrie, LA to the mouth of the Mississippi River South West Pass, and another from South West Pass of the Mississippi River mouth to the south, across the slope. Two stations (St. 15 and St. 12) were also sampled on a second transect from the shelf break to the slope southeast of the Bird's Foot. \n \nIn summer 2022, benthic flux data were obtained from benthic chamber deployments at eleven different stations on the Louisiana Shelf and slope in the Northern Gulf of Mexico in July 9 -23, 2022 using two different benthic landers. These stations span two transects, one from the middle of the shelf offshore from Cocodrie, LA to the mouth of the Mississippi River South West Pass, and another from South West Pass of the Mississippi River mouth to the south, across the slope. Two stations (St. 15 and St. 12) were also sampled on a second transect from the shelf break to the slope southeast of the Bird's Foot. \n \nSamples were immediately filtered through 0.22-micrometer (µm) PSE syringe filters and either analyzed immediately onboard (SPO43-), preserved acidified with hydrochloric acid at 4 degrees Celsius (Cad, Mnd), frozen (NH4+, NO3-, Br-), or preserved at 4 degrees Celsius after addition of HgCl2 (TA) until analysis.  In addition, samples for DIC, TA, and carbon isotopic analyses were preserved in glass bottles, whereas other samples were preserved in polypropylene containers.  DIC and TA were analyzed by Gran titration (Gran, 1952) using temperature-controlled closed cells (Dickson et al. 2007), orthophosphate and ammonium by spectrophotometry (Murphy and Riley, 1962; Strickland and Parsons, 1972), the carbon isotopic signature by isotope ratio mass spectrometry (Wang et al, 2018), Mnd and Cad by ICP-MS (Magette et al., 2025 In review), and NO3- and Br- by high performance liquid chromatography (HPLC) (Beckler et al., 2014). In summer 2022, benthic chamber and pore water DIC and TA samples were analyzed by cavity ring-down spectrometry (CRDS, Picarro G2131-i) with an automatic CO2 extraction system (Apollo SciTech AS-D1) and open-cell potentiometric titrations, respectively (Ferreira et al., 2025).\n\ncdm_data_type = Other\nVARIABLES:\nDate (unitless)\n... (28 more variables)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_959033_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_959033_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_959033_v1/index.htmlTable https://osprey.bco-dmo.org/dataset/959033 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_959033_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_959033_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_959033_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_948358_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_948358_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_948358_v1/ public [Nitrate 15N/14N measurements in two adjacent mesoscale eddies in the North Pacific Subtropical Gyre] - Nitrate 15N/14N measurements in two adjacent mesoscale eddies in the North Pacific Subtropical Gyre from water samples collected on R/V Kilo Moana cruise KM1709 in June-July 2017 (CAREER: The biological nitrogen isotope systematics of ammonium consumption and production) Two adjacent mesoscale eddies of opposite polarity were surveyed during the MESO-SCOPE (Microbial Ecology of the Surface Ocean-Simons Collaboration on Ocean Processes and Ecology) expedition in June – July of 2017 aboard R/V Kilo Moana (cruise ID KM1709). The expedition aimed to understand the impact of mesoscale eddies on the ecosystem of the North Pacific Subtropical Gyre. Hydrographic water samples collected during the cruise were measured for nitrate 15N/14N isotope ratios using the denitrifier method. These measurements were performed by Mengyang Zhou at the University of Connecticut.\n\ncdm_data_type = Other\nVARIABLES:\nISO_DateTime_Local_HST (unitless)\ntime (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\nlatitude (degrees_north)\nlongitude (degrees_east)\nStation (unitless)\ndepth (m)\nMean_d15NNO3 (‰ vs. air)\nStdev_d15NNO3 (‰ vs. air)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_948358_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_948358_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_948358_v1/index.htmlTable https://www.bco-dmo.org/dataset/948358 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_948358_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_948358_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_948358_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_989777_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_989777_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_989777_v1/ public [Nitrogen CSI-AA SBB trap foraminifera] - Compound-specific nitrogen stable isotopes of amino acids in planktic foraminifera from Santa Barbara Basin sediment traps from 2018 to 2021 (Collaborative Research: Constraining Planktic Foraminiferal Ecology Using Compound Specific Isotope Analysis of Amino Acids) We measured carbon and nitrogen compound-specific stable isotopes of amino acids (CSI-AA) in the shells the three most abundant species of planktic foraminifera from Santa Barbara Basin sediment traps from 2018 to 2021: Globigerina bulloides (d'Orbigny, 1826), Neogloboquadrina incompta (Cifelli, 1961), and Turborotalita quinqueloba (Natland, 1938). Multiple sediment trap collections were combined to constitute representative samples. The N. incompta sample included individuals from sediment trap collections from May 2019 to October 2021 (n=4082). The T. quinqueloba sample included individuals from December 2018 to October 2021 (n=4964). G. bulloides was sufficiently abundant to split into seasonal samples: spring/summer from February 2019 to July 2019 (n=5081) and fall/winter from October to January in years 2018-2019, 2019-2020, 2020-2021 (n=3132). The collection of these data were supported by NSF OCE. This dataset includes only the nitrogen CSI-AA data. Carbon data are available in a related dataset.\n\ncdm_data_type = Other\nVARIABLES:\nSample (unitless)\nStart_date (unitless)\nEnd_date (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\nAla (permille)\nGly (permille)\nThr (permille)\nSer (permille)\nVal (permille)\nLeu (permille)\nIle (permille)\nPro (permille)\nAsp (permille)\nGlu (permille)\nPhe (permille)\nTyr (permille)\n... (14 more variables)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_989777_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_989777_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_989777_v1/index.htmlTable https://osprey.bco-dmo.org/dataset/989777 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_989777_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_989777_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_989777_v1
log in [Nitrogen isotope fractionation for ammonium assimilation by marine phytoplankton] - Nitrogen isotope fractionation for ammonium assimilation by marine phytoplankton (Biological Nitrogen Isotope Fractionation project) (CAREER: The biological nitrogen isotope systematics of ammonium consumption and production) Results of batch cultures and short-term ammonium (NH4+) uptake experiments were conducted using marine phytoplankton to verify concentration dependence of nitrogen (N) isotope fractionation for NH4+ assimilation.\n\ncdm_data_type = Other\nVARIABLES:\nStrain (unitless)\nExperiment_type (unitless)\nExperiment_number (unitless)\nDate_and_time_EST (unitless)\ntime (Date_and_time_utc, seconds since 1970-01-01T00:00:00Z)\nIncubation_time_in_days (days)\nCell_density (cells mL-1)\nInitial_cell_density (cells mL-1)\nNH4_plus (umol L-1)\nstdev_sigma_NH4_plus (unitless)\nnegative_natural_logarithm_of_NH4_plus (unitless)\ndelta_15NNH4_plus (‰ vs. air)\nstdev_sigma_delta_15NNH4_plus (units)\nf_lnf_1_f (units)\ndelta_15NPON (‰ vs. air)\nLight_conditions (unitless)\nGrowth_stage (unitless)\nNotes (unitless)\n BCO-DMO bcodmo_dataset_864826_v1
log in [Nitrogen Limitation Perturbations] - Incomplete assimilatory nitrate reduction by LLI Prochlorococcus in response to nutrient stress. (Features and implications of nitrogen assimilation trait variability in populations of Prochlorococcus) These data include Prochlorococcus cell density, nitrate (NO3-) and nitrite (NO2-) concentration, and fluorometry data for experiments that examined nitrite production by LLI Prochlorococcus following a pulse of nitrate under stress conditions. The conditions evaluated included nitrogen limitation.\n\ncdm_data_type = Other\nVARIABLES:\nStrain (unitless)\nRep (unitless)\nCollection_Time (unitless)\nDeltaDays (days)\nDilutionFactor_FCM (unitless)\nCell_Concentration_FCM (cells per milliliter (cells mL-1))\nFSC_Beads (unitless)\nRedB_Beads (unitless)\nAutoAnalyzer3_dilutionFactor (unitless)\nNitrate_NitriteConcentration (micromoles Nitrate+Nitrite per liter (umol L-1))\nNitriteConcentration (micromoles Nitrite per liter (umol L-1))\nFCM_filename (unitless)\nfcm_wellID (unitless)\nFCM_Beads_Filename (unitless)\nFCM_blank_filename (unitless)\nNCBI_SRA_Accession (unitless)\nGeneralNotes (unitless)\n BCO-DMO bcodmo_dataset_969427_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_944886_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_944886_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_944886_v1/ public [Nitrous oxide and transient tracer concentrations in the tropical Pacific Ocean] - Nitrous oxide (N2O) and transient tracer (chlorofluorocarbons, sulfur hexafluoride) concentrations from samples collected on three GO-SHIP cruises in the tropical Pacific Ocean during 2015-2016 (Equatorial transport of nitrous oxide from the eastern tropical Pacific Ocean) Nitrous oxide (N2O) and transient tracer (chlorofluorocarbons, sulfur hexafluoride) concentrations were determined in water samples collected on three Global Ocean Ship-based Hydrographic Investigations Program (GO-SHIP) cruises to investigate the transport, production, and efflux of N2O across the tropical Pacific Ocean. The three GO-SHIP cruises were 1) P16N in April – May 2015 aboard the R/V Ronald H. Brown, 2) P15S in April – June 2016 aboard the R/V Investigator, and 3) P18 in Nov – Dec 2016 aboard the R/V Ronald H. Brown from rosettes of either 24 or 36 – 10-liter (L) Niskin bottles equipped with Seabird SBE9plus CTDs. Samples for dissolved chlorofluorocarbons (CFC–11, CFC-12), sulfur hexafluoride (SF6), and N2O were collected following the method described in Bullister et al. (2008).\n\ncdm_data_type = Other\nVARIABLES:\nCruise (unitless)\nStation (unitless)\ntime (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\nLongitude_360 (decimal degrees)\nlongitude (degrees_east)\nlatitude (degrees_north)\nBot_Depth (meters (m))\nPressure (decibars (db))\nSAMPNO (unitless)\nSAMPNO_QF (unitless)\nTEMPERATURE (degrees Celsius)\nCFC11 (picomoles per kilogram (pmol/kg))\nCFC11_QF (unitless)\nCFC12 (picomoles per kilogram (pmol/kg))\nCFC12_QF (unitless)\nSF6 (femptomoles per kilogram (fmol/kg))\nSF6_QF (unitless)\nCTD_SALINITY (unitless)\nCTD_SALINITY_QF (unitless)\nN2O (nanomoles per kilogram (nmol/kg))\nN2O_QF (unitless)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_944886_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_944886_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_944886_v1/index.htmlTable https://www.bco-dmo.org/dataset/944886 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_944886_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_944886_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_944886_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_897484_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_897484_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_897484_v1/ public [Noble gas isotope data from Oregon and Arizona groundwater] - Noble gas isotope data from field campaigns sampling groundwater in Umatilla, Oregon during September 2020 and in Tucson, Arizona during November 2021 (Collaborative Research: Novel constraints on air-sea gas exchange and deep ocean ventilation from high-precision noble gas isotope measurements in seawater) This project developed a novel seawater and groundwater noble gas isotope extraction technique, building on an approach pioneered by Dr. Steve Emerson that involves equilibration of headspace and water followed by vacuum removal and disposal of almost all the water. Corrections are then made for the lost noble gas in the water, using precisely measured mass and volume. The method uses 6-liter stainless steel flasks with Nupro valves for improved leak-tightness. This extraction technique made it possible to measure neon as well as the heavier noble-gas isotopes, all from the same sample, providing a constraint on \"excess air\" using the neon. Field campaigns sampling groundwater were conducted in Oregon and Arizona. Data from these campaigns are deposited here.\n\ncdm_data_type = Other\nVARIABLES:\nState_ID (unitless)\nLocation (unitless)\nSite (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\nElevation_m (meters (m))\nElevation_ft (feet (ft))\nPressure_atm (atmosphere (atm))\nMid_screen_depth_ft (feet (ft))\nScreen_length_ft (feet (ft))\nDepth_to_water_ft (feet (ft))\nSampling_date (unitless)\nNG_method (unitless)\nHe (cubic centimeters per gram (cc/g))\nHe_err (cubic centimeters per gram (cc/g))\nNe (cubic centimeters per gram (cc/g))\nNe_err (cubic centimeters per gram (cc/g))\nAr (cubic centimeters per gram (cc/g))\nAr_err (cubic centimeters per gram (cc/g))\nKr (cubic centimeters per gram (cc/g))\n... (23 more variables)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_897484_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_897484_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_897484_v1/index.htmlTable https://www.bco-dmo.org/dataset/897484 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_897484_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_897484_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_897484_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_914387_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_914387_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_914387_v1/ public [Normalized oxygen from MCH incubations] - Normalized oxygen from incubations conducted with methylcyclohexane using samples collected from the Gulf of Mexico during June 2015 on R/V Atlantis cruise AT29-02 (Collaborative Research: Chemical and microbiological studies of water-soluble alkanes in the ocean) Hydrocarbon incubations were conducted with water collected from 1000 meters depth in the Gulf of Mexico across four stations during cruise AT29-02 on the R/V Atlantis. Sample collection occurred June 16-17, 2015. Each incubation was injected with 10 microliters of methylcyclohexane (MCH) or methylcyclopentane (MCP). Each incubation was monitored for oxygen content using remote optical oxygen sensors. After we observed a respiration signal, we sacrificially harvested each bottle for cell counts, nutrients, and DNA. Incubation time varied from 10-31 days. These data were used to assess who consumes these compounds in the deep Gulf of Mexico, over what time frame, and what metabolic pathways bacteria use to consume them. This dataset includes the normalized oxygen measurements from the MCH incubations.\n\ncdm_data_type = Other\nVARIABLES:\nStation (unitless)\nlatitude (Station_latitude, degrees_north)\nlongitude (Station_longitude, degrees_east)\nISO_DateTime_Local (unitless)\ntime (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\nReplicate (unitless)\nTime_hours (hours)\nTime_days (days)\nOxygen_loss (micromolar (uM))\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_914387_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_914387_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_914387_v1/index.htmlTable https://www.bco-dmo.org/dataset/914387 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_914387_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_914387_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_914387_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_914511_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_914511_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_914511_v1/ public [Normalized oxygen from MCP incubations] - Normalized oxygen from incubations conducted with methylcyclopentane using samples collected from the Gulf of Mexico during June 2015 on R/V Atlantis cruise AT29-02 (Collaborative Research: Chemical and microbiological studies of water-soluble alkanes in the ocean) Hydrocarbon incubations were conducted with water collected from 1000 meters depth in the Gulf of Mexico across four stations during cruise AT29-02 on the R/V Atlantis. Sample collection occurred June 16-17, 2015. Each incubation was injected with 10 microliters of methylcyclohexane (MCH) or methylcyclopentane (MCP). Each incubation was monitored for oxygen content using remote optical oxygen sensors. After we observed a respiration signal, we sacrificially harvested each bottle for cell counts, nutrients, and DNA. Incubation time varied from 10-31 days. These data were used to assess who consumes these compounds in the deep Gulf of Mexico, over what time frame, and what metabolic pathways bacteria use to consume them. This dataset includes the normalized oxygen measurements from the MCP incubations.\n\ncdm_data_type = Other\nVARIABLES:\nStation (unitless)\nlatitude (Station_latitude, degrees_north)\nlongitude (Station_longitude, degrees_east)\nISO_DateTime_Local (unitless)\ntime (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\nReplicate (unitless)\nTime_hours (hours)\nTime_days (days)\nOxygen_loss (micromolar (uM))\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_914511_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_914511_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_914511_v1/index.htmlTable https://www.bco-dmo.org/dataset/914511 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_914511_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_914511_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_914511_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_927300_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_927300_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_927300_v1/ public [North Atlantic CDOM Absorption Coefficients] - Chromophoric Dissolved Organic Matter Napierian Absorption Coefficients for Open Ocean Blue Water Samples from the North Atlantic Subtropical Gyre from R/V Atlantic Explorer AE1707, AE1829, AE1820, AE1905 at Bermuda Atlantic Time Series Stations (BATS) f (Transforming our understanding of DIC Photoproduction in Oceanic Waters) These data are chromophoric dissolved organic matter (CDOM) Naperian absorption coefficients (ag) of seawater from the North Atlantic subtropical gyre, collected as a part of the OCE-1635618 project, “Transforming our understanding of DIC Photoproduction in Oceanic Waters”. The goal of the project was to investigate and constrain the photoproduction rates and efficiencies of dissolved inorganic carbon (DIC) from photochemical degradation of dissolved organic carbon in the open ocean, which could provide better estimates of DIC photoproduction flux in the open ocean and improve carbon budget modeling. \n\nThe surface (1 m) and deep (3000 m) seawater samples were collected using Niskin bottles mounted on a CTD rosette, for photoirradiation experiments, during Bermuda Atlantic Time-series Study (BATS) cruises in May 2017, July 2018, October 2018, and April 2019 aboard the R/V Atlantic Explorer. ag were measured with spectrophotometers.\n\ncdm_data_type = Other\nVARIABLES:\nBATS_station (unitless)\nlatitude (Bats_station_latitude, degrees_north)\nlongitude (Bats_station_longitude, degrees_east)\nSample_date (unitless)\ndepth (Sample_depth_m, m)\nlambda (nanometer (nm))\nCDOM_absorption_a_g (meters^(-1))\nSample_no (unitless)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_927300_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_927300_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_927300_v1/index.htmlTable https://www.bco-dmo.org/dataset/927300 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_927300_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_927300_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_927300_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_917642_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_917642_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_917642_v1/ public [North Pacific Atmospheric Particulates] - Total organic carbon content, total nitrogen content, and carbon isotope (13C and 14C) composition of atmospheric particulates from aerosol samples collected on the R/V Dong Fang Hong-3 in the western North Pacific from October to December 2019 (Collaborative Research: Characterization of Reactive Nitrogen in The North Pacific Atmosphere) These data include the content of total organic carbon and total nitrogen, and carbon isotope (13C and 14C) composition of atmospheric particulates collected in the western North Pacific. On-ship aerosol sampling was conducted on the R/V Dong Fang Hong-3 during a cruise to the western North Pacific from October 31 to December 1, 2019. Sampling was conducted using two portable aerosol particle samplers (model 2030, Qingdao Laoying Environmental Technology Co.) with a filter size of 9 cm O.D. Recognizing the deposition of atmospheric particulates has the potential to further understanding of the role of atmospheric deposition in the carbon cycle and biogeochemistry in the ocean. These data assess the contribution of atmospheric deposition to organic carbon and were conducted by Prof. XuChen Wang of the Key Laboratory of Marine Chemistry Theory, Ocean University of China, Qingdao 266100, China.\n\ncdm_data_type = Other\nVARIABLES:\nSample_number (unitless)\nDate (unitless)\nStart_time (unitless)\ntime (Start_iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\nSampling_period (hours (h))\nLatitude (degrees_north)\nlongitude (degrees_east)\nTotal_air_volume (liters (L))\nParticle_weight (milligrams (mg))\nTotal_particulates_concentration (micrograms per cubic meter (ug/m3))\nPOC (percent (%))\nTN (percent (%))\nPOC_d13C (per mil (‰))\nd14C (per mil (‰))\nd14C_stdev (per mil (‰))\nAge_14C (Year BP)\nAge_14C_stdev (Year BP)\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_917642_v1/index.htmlTable https://www.bco-dmo.org/dataset/917642 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_917642_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_917642_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_917642_v1
log in [North Pacific Micromonas Culture Experiment] - Response of Micromonas sp. to iron-limitation sampled aboard R/V Roger Revelle RR1813 in the Subarctic North Pacific near Station  PAPA (50 N, 144.8 W) from August to September 2018 (Collaborative Research: Evaluating the contribution of small eukaryotes to nitrate-based new production in the North Pacific Subtropical Gyre) Small eukaryotic phytoplankton can account for considerable amounts of biomass and primary production in high nutrient, low chlorophyll (HNLC) regions of the ocean where iron-limitation is pronounced. However, the strategies these cells invoke to cope under low iron conditions and the extent to which they are responsible for new production (i.e., the fraction of primary production supported by nutrients from outside of the euphotic zone) is unclear. Here, we examine how a representative picoeukaryote, the chlorophyte Micromonas sp., recently isolated from the iron-limited subarctic North Pacific Ocean, responds to iron-limitation and quantify its potential contribution to new production. Iron-limited Micromonas exhibits reductions in cellular growth rate, volume, and carbon and nitrogen quotas along with a restructuring of cellular metabolism as inferred through gene expression. Gene expression and pathway analyses show evidence of cellular strategies to mitigate iron limitation but conservation of genes related to nitrogen uptake and utilization. Additionally, when grown on nitrate, cellular carbon and nitrogen quotas ranged from 0.02 – 0.17 pmol C cell-1 and 3.3 x 10-3 – 2.2 x 10-2 pmol N cell-1 as a function of iron status.\n\ncdm_data_type = Other\nVARIABLES:\nCruise (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\nTreatment (unitless)\nReplicate (unitless)\nVolume (liter (L))\nCell_Count (cell per liter (cell L-1))\nCarbon (grams (g))\nNitrogen (grams (g))\nCHL (micrograms per liter (µg L-1))\nFv_Fm (unitless)\nSigma (unitless)\nGrowth_Rates (per day (d-1))\n BCO-DMO bcodmo_dataset_945544_v1
log in [Northern California Current Microorganisms] - 16S rRNA gene of microorganisms sampled along the Newport Hydrographic (NH) and Trinidad Head (TR) lines, in OR and CA in 2018 and 2019 (Collaborative Research: Comparative feeding by gelatinous grazers on microbial prey) The Northern California Current ecosystem is a productive system which supports major fisheries. To determine how the microbial community responds to variable upwelling, we examined the 16S rRNA gene of microorganisms from two size fractions, 0.2-1.6µm and greater than 1.6µm along the Newport Hydrographic (NH) and Trinidad Head (TR) lines, in OR and CA.\n\ncdm_data_type = Other\nVARIABLES:\nbioproject_accession (unitless)\nbiosample_accession (unitless)\nmessage (unitless)\nsample_name (unitless)\norganism (unitless)\ncollection_date (unitless)\ndepth (m)\nenv_broad_scale (unitless)\nenv_local_scale (unitless)\nenv_medium (unitless)\ngeo_loc_name (unitless)\nlatitude (Sampling_lat, degrees_north)\nlongitude (Sampling_lon, degrees_east)\nsize_frac (unitless)\nsra_run_accession (unitless)\nsra_study_accession (unitless)\nobject_status (unitless)\nlibrary_ID (unitless)\ntitle (unitless)\nlibrary_strategy (unitless)\nlibrary_source (unitless)\nlibrary_selection (unitless)\nlibrary_layout (unitless)\nplatform (unitless)\n... (5 more variables)\n BCO-DMO bcodmo_dataset_926850_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_904782_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_904782_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_904782_v1/ public [Northern Gulf of Mexico electrochemical data Fall 2020] - Electrochemical data from sediment cores collected on the Louisiana Shelf of the Northern Gulf of Mexico during November 2020 on R/V Savannah cruise SAV-20-07 (Importance of Riverine Discharge on the Benthic Flux of Alkalinity to Continental Margins) This data set reports sediment depth profiles of dissolved O2, Mn2+, Fe2+, and total dissolved sulfide (SH2S) concentrations, as well as pH and current intensities of organic-Fe(III) complexes and aqueous clusters of FeS (FeS(aq)) that cannot be quantified directly. These data were obtained by profiling intact sediment cores using voltammetric and pH microelectrodes deployed on a computer-operated micromanipulator. Sediment cores were collected at five different stations on the Louisiana Shelf on the Northern Gulf of Mexico during the week of November 3-6, 2020 using an MC-800 multi-corer. These stations extend from the middle of the shelf offshore from Cocodrie, LA to the mouth of the Mississippi River North West Pass. All depth profiles were started within 30 minutes after collection. The field sampling was conducted during R/V Savannah cruise SAV-20-07.\n\ncdm_data_type = Other\nVARIABLES:\nYear (unitless)\nMonth (unitless)\nDay (unitless)\nDate (unitless)\nCollection_Type (unitless)\nStation (unitless)\nlongitude (degrees_east)\nLat (degrees_north)\nSediment_depth (centimeters (cm))\npH (unitless (pH scale))\nO2 (micrometers (uM))\nsd_O2 (micrometers (uM))\nMn_II (micrometers (uM))\nsd_Mn_II (micrometers (uM))\nFe_II (micrometers (uM))\nsd_Fe_II (micrometers (uM))\nSH2S (micrometers (uM))\nsd_SH2S (micrometers (uM))\nS2O3 (micrometers (uM))\n... (5 more variables)\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_904782_v1/index.htmlTable https://www.bco-dmo.org/dataset/904782 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_904782_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_904782_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_904782_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_904417_v2 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_904417_v2.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_904417_v2/ public [Northern Gulf of Mexico pore geochemical data] - Depth profiles of pore water constituents from sediment cores collected on the Louisiana Shelf of the Northern Gulf of Mexico during 2020, 2021, and 2022 on R/V Savannah cruises SAV-20-07, SAV-21-25, SAV-21-24, SAV-22-06, and SAV-22-11 (Importance of Riverine Discharge on the Benthic Flux of Alkalinity to Continental Margins) This data set reports depth profiles of pore water concentrations of dissolved inorganic carbon (DIC), orthophosphate (PO43-), ammonium (NH4+), total alkalinity (TA), carbon isotopic fractionation of DIC (13C-DIC), dissolved manganese (Mnd), dissolved calcium (Cad), reduced iron (Fe(II)), total dissolved Fe (Fed), and dissolved Fe(III) (Fe(III)d) by the difference of total dissolved Fe and Fe(II). Data were collected during five R/V Savannah cruises in fall 2020, summer and fall 2021, and fall and spring 2022. On each cruise pore water data were obtained from sediment cores collected with an MC-800 multi-corer at multiple stations. Cruise IDs were: SAV-20-07, SAV-21-25, SAV-21-24, SAV-22-06, SAV-22-11.\n\nAll cores were processed within a few hours after collection. The pore waters were first extracted by slicing sediment cores of < 40 centimeters (cm) long and centrifugation of the pore waters under N2 atmosphere to avoid air contamination. Pore waters were then immediately filtered through 0.22-micrometer (um) PSE syringe filters under N2 atmosphere and either analyzed immediately onboard (Fe speciation, orthophosphate, DIC), preserved acidified with hydrochloric acid at 4 degrees Celsius (Cad, Mnd), frozen (ammonium), or preserved at 4 degrees Celsius after addition of HgCl2 (TA) until analysis.  In addition, samples for TA and carbon isotopic analyses were preserved in glass bottles, whereas other samples were preserved in polypropylene containers.\n\nDIC was analyzed by flow injection analysis (Hall and Aller, 1992), orthophosphate, ammonium, and Fe speciation by spectrophotometry (Murphy and Riley, 1962; Strickland and Parsons, 1972; Stookey, 1970), TA by Gran titration (Gran, 1952), the carbon isotopic signature by isotope ratio mass spectrometry (Wang et al, 2018), and Mnd and Cad by ICP-MS (Magette et al., 2025 In preparation).\n\ncdm_data_type = Other\nVARIABLES:\nYear (unitless)\nMonth (unitless)\nDay (unitless)\nDate (unitless)\nCollection_Type (unitless)\nStation (unitless)\n... (24 more variables)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_904417_v2_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_904417_v2_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_904417_v2/index.htmlTable https://osprey.bco-dmo.org/dataset/904417 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_904417_v2.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_904417_v2&showErrors=false&email= BCO-DMO bcodmo_dataset_904417_v2
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_908739_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_908739_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_908739_v1/ public [Nucella canaliculata Morphology and Drill Hole Data] - Nucella canaliculata morphology and drill hole data from experiments conducted at Bodega Marine Laboratory from 2020 to 2021 (Coastal mosaics of local adaptation and the eco-evolutionary dynamics of a marine predator-prey interaction) Most predator-prey interactions typically occur over large biogeographic areas with varying abiotic and biotic conditions. If these environmental or biotic gradients are consistent over time they can impose spatially varying selection pressures on the co-evolving predator or prey. Nucella canaliculata is a predatory dogwhelk that inhabits rocky shore ecosystems along the West Coast of North America and preys on multiple barnacle and mussel species by drilling a hole through the shell of their prey. Previous work has documented geographic variation in the ability of N. canaliculata to drill the foundation species, Mytilus californianus. However, the underlying mechanisms and scale of these phenotypic differences haven't been determined. We hatched and raised N. canaliculata from 6 populations, 3 in California and 3 in Oregon, for a year in the laboratory on a common diet of Mytilus trossulus. We then challenged these dogwhelks with a series of M. californianus mussels of increasing size and thickness to identify the largest and thickest mussel drilled for each dogwhelk. There were clear geographic differences in drilling capacity. Dogwhelks from California were able to drill mussels that were substantially larger and thicker than those from Oregon. We are exploring whether selection on drilling capacity is associated with a coastal mosaic of mussel shell thickness and if these differences can influence the dynamics of rocky intertidal ecosystems.\n\ncdm_data_type = Other\nVARIABLES:\nContainer (unitless)\nSite (unitless)\nLatitude (degrees_north)\nlongitude (degrees_east)\nFamily (unitless)\nDogwhelk (unitless)\nSex (unitless)\nLength_Initial (millimeters (mm))\nLength_Final (millimeters (mm))\nLength_change (millimeters (mm))\nCheck (unitless)\nDate (unitless)\n... (4 more variables)\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_908739_v1/index.htmlTable https://www.bco-dmo.org/dataset/908739 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_908739_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_908739_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_908739_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_959533_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_959533_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_959533_v1/ public [Nucella retraction data] - Nucella lamellosa morphometric measurements after induction in the presence of predatory Pisaster ochraceus at Bodega Marine Laboratory in 2019 (Trophic consequences of ocean acidification: Intertidal sea star predators and their grazer prey) To examine the intensity of induced morphological responses of Nucella lamellosa, we measured morphometrics in Nucella after exposure to its predator species, Pisaster ochraceus. Specifically, we measured the increase in shell retraction after prolonged exposure to Pisaster cue and also measured length and height of the shell and weight. Results from this dataset were used to estimate the impacts of loss of morphological fear responses on the strength of trophic cascades. The experiment was conducted within laboratory mesocosms at Bodega Marine Lab in 2018 and 2019.\n\ncdm_data_type = Other\nVARIABLES:\nDate (unitless)\nPast (unitless)\nContainer (unitless)\nID (unitless)\nLength (millimeters (mm))\nHeight (millimeters (mm))\nRetract (millimeters (mm))\nWeight (grams (g))\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_959533_v1/index.htmlTable https://osprey.bco-dmo.org/dataset/959533 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_959533_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_959533_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_959533_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_914186_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_914186_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_914186_v1/ public [Nutrient and cell count data for incubations] - Nutrient and cell count data from incubations conducted with methylcyclohexane or methylcyclopentane on samples collected from the Gulf of Mexico during June 2015 on R/V Atlantis cruise AT29-02 (Collaborative Research: Chemical and microbiological studies of water-soluble alkanes in the ocean) Hydrocarbon incubations were conducted with water collected from 1000 meters depth in the Gulf of Mexico across four stations during cruise AT29-02 on the R/V Atlantis. Sample collection occurred June 16-17, 2015. Each incubation was injected with 10 microliters of methylcyclohexane (MCH) or methylcyclopentane (MCP). Each incubation was monitored for oxygen content using remote optical oxygen sensors. After we observed a respiration signal, we sacrificially harvested each bottle for cell counts, nutrients, and DNA. Incubation time varied from 10-31 days. These data were used to assess who consumes these compounds in the deep Gulf of Mexico, over what time frame, and what metabolic pathways bacteria use to consume them.\n\ncdm_data_type = Other\nVARIABLES:\nRank (unitless)\nType (unitless)\nStation (unitless)\nlatitude (Station_latitude, degrees_north)\nlongitude (Station_longitude, degrees_east)\nISO_DateTime_Local (unitless)\ntime (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\nPhosphate (micromolar (uM))\nNitrite (micromolar (uM))\nAmmonia (micromolar (uM))\nNitrate (micromolar (uM))\nTotal_Oxygen_Loss (micromolar (uM))\nNormalized_Oxygen_Loss (micromolar (uM))\nTotal_Incubation_Time_Days (days)\nCell_Abundance (cells per milliliter (cells/mL))\nBloom_Onset_Time_Days (days)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_914186_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_914186_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_914186_v1/index.htmlTable https://www.bco-dmo.org/dataset/914186 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_914186_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_914186_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_914186_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_997299_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_997299_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_997299_v1/ public [Nutrients and DOC RC0078] - Nutrients and dissolved organic carbon bottle data from R/V Rachel Carson RC0078 cruise in the Salish Sea in June 2022 (Collaborative Research: Resolving the production and fate of nitrogenous metabolites in the surface ocean) Nutrients (phosphate, silicate, nitrate, nitrite, and ammonium) and dissolved organic carbon bottle data were collected during R/V Rachel Carson cruise RC0078 in the Salish Sea, Washington, from 2022-06-03 to 2022-06-08. Seawater samples were collected from a CTD rosette and analyzed at the University of Washington Marine Chemistry Laboratory.\n\ncdm_data_type = Other\nVARIABLES:\nCruise (unitless)\nStation (unitless)\nCast (unitless)\ntime (Date_time_utc, seconds since 1970-01-01T00:00:00Z)\ndate_time_local (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\nPRS (db)\ndepth (m)\nTMP (degrees Celsius)\nSAL (PSU)\nOXY (milligrams per liter (mg/l))\nBeam_Attenuation (per meter)\nBeam_Transmission (percent)\nFluorescence (milligrams per cubic meter (mg/m^3))\nPAR (micromoles photons per square meter per second (umol photons/m^2/s^1))\npH (unitless)\nDOC (mg C/l)\nPO4 (umol/l)\nSiO4 (umol/l)\nNO3 (umol/l)\nNO2 (umol/l)\nNH4 (umol/l)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_997299_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_997299_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_997299_v1/index.htmlTable https://osprey.bco-dmo.org/dataset/997299 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_997299_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_997299_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_997299_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_874805_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_874805_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_874805_v1/ public [Nutrients and Flow Cytometry 2017] - Nutrients and flow cytometry from station N-1200 collected in August 2017 from a cruise aboard R/V Mediterranean Explorer (Microbial ecosystems in silico, in the lab and in the field: understanding interactions between abundant marine bacterial taxa) This dataset contains nutrients and flow cytometry from station N-1200 collected in August 2017 from a cruise aboard R/V Mediterranean Explorer.\n\ncdm_data_type = Other\nVARIABLES:\ndepth (m)\nP (nanomolar (nM))\nTOxN (nanomolar (nM))\nSi (nanomolar (nM))\nNH4 (nanomolar (nM))\nProchlorococcus (cells per mL)\nSynechococcus (cells per mL)\nPico_eukaryotes (cells per mL)\nlatitude (degrees_north)\nlongitude (degrees_east)\nDate (unitless)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_874805_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_874805_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_874805_v1/index.htmlTable https://osprey.bco-dmo.org/dataset/874805 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_874805_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_874805_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_874805_v1
log in [Nutrients] - Nutrient data for samples collected every 4 hours from Orcas Island, WA, USA Coastal Ocean (2m depth) during the period from 2021-05-27 to 2021-06-18 (Collaborative Research: Rhythm and Blooms: Deciphering metabolic, functional and taxonomic interactions over the life cycle of a phytoplankton bloom) This dataset contains nutrient data for samples collected every 4 hours from Orcas Island, WA, USA Coastal Ocean (2m depth) during the period from 5/27/21 to 6/18/21 collected as part of the following study.\n\n\nStudy abstract\n\n\nFloating, single-celled algae, or phytoplankton, form the base of marine food webs. When phytoplankton have sufficient nutrients to grow quickly and generate dense populations, known as blooms, they influence productivity of the entire food web, including rich coastal fisheries. The present research explores how the environment (nutrients) as well as physical and chemical interactions between individual cells in a phytoplankton community and their associated bacteria act to control the timing of bloom events in a dynamic coastal ecosystem. The work reveals key biomolecules within the base of the food web that can inform food web functioning (including fisheries) and be used in global computational models that forecast the impacts of phytoplankton activities on global carbon cycling. A unique set of samples and data collected in 2021 and 2022 that captured phytoplankton and bacterial communities before, during, and after phytoplankton blooms, is analyzed using genomic methods and the results are used to interrogate these communities for biomolecules associated with blooms stages. The team mentors undergraduates, graduate students, and postdoctoral researchers in the fields of biochemical oceanography, genome sciences, and time-series multivariate statistics. University of Washington organized hackathons to develop publicly accessible portals for the simplified interrogation and visualization of &#39;omics data, accessible to high schoolers and undergraduates. These portals are implemented in investigator-led undergraduate teaching modules in the University of Rhode Island Ocean Classroom. The research team also returns to Orcas Island, WA, where the field sampling takes place, to host a series of annual Science Weekends to foster scientific engagement with the local community.\nPhytoplankton blooms, from initiation to decline, play vital roles in biogeochemical cycling by fueling primary production, influencing nutrient availability, impacting carbon sequestration in aquatic ecosystems, and supporting secondary production.  In addition to influences from environmental conditions, the physical and chemical interactions among planktonic microbes can significantly modulate blooms, influencing the growth, maintenance, and senescence of phytoplankton. Recent work in steady-state open ocean ecosystems has shown that important chemicals are transferred amongst plankton on time-dependent metabolic schedules that are related to diel cycles. It is unknown how these metabolic schedules operate in dynamic coastal environments that experience perturbations, such as phytoplankton blooms. Here, the investigators are examining metabolic scheduling using long-term, diel sample sets to reveal how chemical and biological signals associated with the initiation, maintenance, and cessation of phytoplankton blooms are modulated on both short (hrs) and long (days-weeks) time scales. Findings are advancing the ability to predict and manage phytoplankton dynamics, providing crucial insights into ecological stability and future oceanographic sampling strategies. Additionally, outcomes of this study are providing a new foundational understanding of the succession of microbial communities and their chemical interactions across a range of timescales. In the long term, this research has the potential to identify predictors of the timing of phytoplankton blooms, optimize fisheries management, and guide future research on carbon sequestration.\n\ncdm_data_type = Other\nVARIABLES:\nDate_PT (unitless)\n... (10 more variables)\n BCO-DMO bcodmo_dataset_984065_v1
log in [O2 and CO2 profiles Pensacola Jun 2024] - Vertical gas concentrations in exposed silicate sand beach on Santa Rosa Island, FL measured on Jun 7th, 2024 (Quantification of sedimentary oxygen and carbon dioxide dynamics in a dry sandy beach affected by macroalgae deposition) This project addresses carbon conversion processes in sandy beaches. To assess gas concentration gradients between the atmosphere and the beach sediment, vertical gas concentration profiles were measured below the beach sediment surface. Gas (custom probes) and temperature probes (PT100) were placed at 5 cm above the sediment and at 0, -5, -10, -15, -20, -25, -30, -35, -40, -45, -50 cm below the sediment surface. Pore gas was extracted from the sediment using a syringe pump (150 ml max. volume). Gas concentrations were measured with a Pyroscience Firesting O2 oxygenmeter and a Licor840A that recorded CO2 concentration, (ppm) and H2O concentration, (ppt).\n\ncdm_data_type = Other\nVARIABLES:\nSite (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\nProfile (unitless)\ntime (seconds since 1970-01-01T00:00:00Z)\ndepth (m)\nCarbon_dioxide (Parts per million (ppm))\nOxygen (Percent air saturation (% air saturation))\nTemperature (degrees Celsius)\n BCO-DMO bcodmo_dataset_986658_v1
log in [O2 consumption of Salpa fusiformis] - Routine metabolic rate (RMR) and critical partial pressure (Pcrit) measurements of Salpa fusiformis collected aboard R/V Atlantic Explorer cruise AE2306 in the Sargasso Sea in March 2023 (EMBRACE-OCE-Seed: Temperature and oxygen partial pressure effect on aerobic metabolism and carbon flux of vertically migrating salps) These data include the effect of temperature and oxygen partial pressure on the aerobic metabolism of Salpa fusiformis collected during a Bermuda Atlantic Time-series Study cruise (AE2306) in the Sargasso Sea from in March of 2023 aboard the R/V Atlantic Explorer. A Pryoscience Firesting optode and oxygen sensor spots were used to collect routine metabolic rate (RMR) and critical oxygen partial pressure (Pcrit). Understanding the drivers of metabolic sensitivity is critical as climate change is shifting the distributions of temperature- and oxygen-limited organisms. Given salps' key role in carbon cycling, it's crucial to understand how these changes affect them across different temperature and oxygen concentrations.\n\ncdm_data_type = Other\nVARIABLES:\nlatitude (degrees_north)\nlongitude (degrees_east)\nSample_ID (unitless)\nSpecies (unitless)\nForm (unitless)\nLength (millimeters (mm))\nWeigh_boat_mass (milligrams (mg))\nBoat_plus_salp_mass (milligrams (mg))\nNet_Wet_Weight_salp (milligrams (mg))\nDry_Weight_with_boat (milligrams (mg))\nNet_Dry_Weight_salp (milligrams (mg))\nTemperature (degrees Celsius (°C))\nRMR (micromoles per grams body mass per hour (µmol/g/hr))\nNotes (unitless)\n BCO-DMO bcodmo_dataset_969488_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_986605_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_986605_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_986605_v1/ public [OC1704A metagenome accession numbers] - Metagenome accession numbers for samples collected in the eastern tropical North Pacific Ocean in 2017 on R/V Oceanus cruise 1704A (CAREER: Oxygen sensitivity of aerobic respiration and nitrification in oxygen minimum zones and biogeochemical feedbacks to deoxygenation) Water samples were collected for DNA extraction using sampling bottles deployed on the CTD rosette. At each depth, 2L samples were filtered through 0.22 µm filters (Millipore, Darmstadt, Germany) using a peristaltic pump and frozen until extraction.  DNA was extracted following Beman et al. (2012) and sent for metagenome sequencing in the Vincent J. Coates Genome Sequencing Laboratory (GSL) at the University of California, Berkeley.  For each sample, 250 ng of genomic DNA was sheared and libraries were prepared using the KAPA HyperPrep Kit (Kapa Biosystems, Wilmington, MA, USA).  Samples were pooled into a single lane and sequenced via 150- cycle paired-end sequencing on the Illumina HiSeq 4000 platform (Illumina, Inc., San Diego, CA, USA).\n\ncdm_data_type = Other\nVARIABLES:\nlatitude (degrees_north)\nlongitude (degrees_east)\nDate (unitless)\nStation (unitless)\ndepth (m)\nRepository (unitless)\nBiosample_accession (unitless)\nSequencing_technology (unitless)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_986605_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_986605_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_986605_v1/index.htmlTable https://osprey.bco-dmo.org/dataset/986605 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_986605_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_986605_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_986605_v1
log in [Ocean Conditions at Seabird Colony Sites] - Seasonally and spatially averaged stratification mixed layer temperature and chlorophyll-a around Northern Hemisphere seabird colonies from 1993 to 2019 (Stratification impacts on seabirds project) (Global analysis of stratification impacts on seabirds through food resources ) This dataset provides seasonal averages of mixed layer temperature, water column stratification, and mixed layer chlorophyll-a content for coastal marine regions around the world using the Marine Ecoregions of the World (MEOW) framework. The MEOW framework spatially partitions coastal marine areas into a hierarchical, nested structure based on biogeographic and environmental characteristics. Seven ecosystems are represented in the dataset: the Arctic, Cold Temperate Northeast Pacific, Cold Temperate Northwest Pacific, Warm Temperate Northeast Pacific, Hawaii, Northern European Seas, and Cold Temperate Northwest Atlantic, which are roughly equivalent to Large Marine Ecosystems. Environmental data was extracted for the domain of these seven ecosystems using the GLORYS12V1 global ocean reanalysis, which resolves monthly ocean conditions at 1/12-degree, daily resolution across 50 vertical depth levels. This state-of-the-art reanalysis assimilates historical data from multiple sources, including satellite observations and buoy data, and covers the period from 1993 to 2019. We extracted temperature, mixed layer depth, and salinity for the upper 200 m of the water column, which were used to calculate coastal stratification. Stratification was quantified using the Potential Energy Anomaly (PEA), a robust metric that measures the energy required to thoroughly mix the water column and reflects seasonal stratification patterns. All environmental variables were spatially averaged over corresponding ecoregions and temporally averaged over the pre-breeding and breeding seasons of seabird colonies within the ecoregion. By offering detailed classifications and environmental characterizations, this dataset serves as a valuable resource for analyzing regional oceanographic patterns and understanding how physical processes shape seabird populations and marine ecosystems.\n\ncdm_data_type = Other\nVARIABLES:\nidnum (exp_id)\nyear (years)\nspp (unitless)\nScientificName_accepted (unitless)\nAphiaID (unitless)\nLSID (unitless)\nsite (unitless)\nsppsite (unitless)\n... (27 more variables)\n BCO-DMO bcodmo_dataset_985768_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_924236_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_924236_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_924236_v1/ public [Ocean warming & acidification experiment: Acartia hudsonica body size] - Body size measurements collected for Acartia hudsonica during multigenerational exposure to ocean warming (OW), ocean acidification (OA), and combined ocean warming and acidification (OWA) (Collaborative Research: Response of marine copepods to warming temperature and ocean acidification) These data include body size measurements collected for Acartia hudsonica during multigenerational exposure to ocean warming (OW), ocean acidification (OA), and combined ocean warming and acidification (OWA) including a benign ambient condition temperature and CO2 control (AM). These data were collected every third generation between F0 and F4 for all treatments and at F11 for AM and OWA. Data were collected on C1 juveniles (C1), adult males (C6M), and adult females (C6F). Individual copepods were stained with non-acid lugol's solution, isolated in a drop of filtered seawater, and photographed using a Lumenera Infinity5-5 camera (Teledyne Lumenera, Ottawa, ON, CAN) attached to an inverted microscope (Olympus IX70, Olympus, Waltham, MA, USA) after the water droplet had been removed. Body size was measured as prosome length at C1 and C6 stages using Image-J (https://imagej.nih.gov/). The experimental environmental conditions were: 1) Ambient control (AM): 13˚C, 400 µatm CO2, pH = 8.2; 2) Ocean Acidification (OA): 13˚C, 1000 µatm CO2, pH = 7.85; 3) Ocean Warming (OW): 15°C, 400 μatm CO2, pH = 8.2; 4) Combined warming and acidification (OWA): 15°C, 1000 μatm CO2, pH = 7.85.\n\ncdm_data_type = Other\nVARIABLES:\nGeneration (unitless)\nTreatment (unitless)\nReplicate (unitless)\nStage (unitless)\nNumber (unitless)\nLength (millimeters (mm))\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_924236_v1/index.htmlTable https://www.bco-dmo.org/dataset/924236 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_924236_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_924236_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_924236_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_924206_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_924206_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_924206_v1/ public [Ocean warming & acidification experiment: Acartia hudsonica development time] - Development (i.e. maturation) time measurements for Acartia hudsonica during multigenerational exposure to ocean warming (OW), ocean acidification (OA), and combined ocean warming and acidification (OWA) (Collaborative Research: Response of marine copepods to warming temperature and ocean acidification) These data include development (i.e. maturation) time measurements for Acartia hudsonica during multigenerational exposure to ocean warming (OW), ocean acidification (OA), and combined ocean warming and acidification (OWA) including a benign ambient condition temperature and CO2 control (AM). These data were collected every second generation between F0 and F4 for all treatments and at F11 for AM and OWA. Data were calculated for naupliar development time (i.e. naupliar stage 1 to naupliar stage 6) and copepodite development time (i.e. copepodite stage 1 to adulthood). The experimental environmental conditions were: 1) Ambient control (AM): 13˚C, 400 µatm CO2, pH = 8.2; 2) Ocean Acidification (OA): 13˚C, 1000 µatm CO2, pH = 7.85; 3) Ocean Warming (OW): 15°C, 400 μatm CO2, pH = 8.2; 4) Combined warming and acidification (OWA): 15°C, 1000 μatm CO2, pH = 7.85.\n\ncdm_data_type = Other\nVARIABLES:\nTreatment (unitless)\nTemp (degrees Celsius)\npH (pH units)\nRep (unitless)\nBeak (unitless)\ntime_elapsed (Time, days post hatch)\nnx (number of individuals)\nlx (number of individuals)\nNdev (number of individuals)\nCdev (number of individuals)\nF_Ratio (females per total individuals)\nM_Ratio (males per total individuals)\nGeneration (unitless)\nGeneration_c (unitless)\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_924206_v1/index.htmlTable https://www.bco-dmo.org/dataset/924206 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_924206_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_924206_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_924206_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_924126_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_924126_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_924126_v1/ public [Ocean warming & acidification experiment: Acartia hudsonica egg production and hatching success] - Egg production rate (EPR) and egg hatching success (HS) data for Acartia tonsa during multigenerational exposure to ocean warming (OW), ocean acidification (OA), and combined ocean warming and acidification (OWA) (Collaborative Research: Response of marine copepods to warming temperature and ocean acidification) These data include egg production rate (EPR) and egg hatching success (HS) data for Acartia tonsa during multigenerational exposure to ocean warming (OW), ocean acidification (OA), and combined ocean warming and acidification (OWA) including a benign ambient condition temperature and CO2 control (AM). These data were collected every second generation between F0 and F4 for all treatments and at F11 for AM and OWA. Data was collected as the number of eggs produced and hatched offspring per female per treatment at each generation.\n\ncdm_data_type = Other\nVARIABLES:\nGeneration (unitless)\nNumber (unitless)\nTreatment (unitless)\nTemp (degrees Celsius)\npH (pH units)\nEPRtot (eggs per female per day)\nHftot (nauplii per egg laid)\nGeneration_c (unitless)\nRep (unitless)\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_924126_v1/index.htmlTable https://www.bco-dmo.org/dataset/924126 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_924126_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_924126_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_924126_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_923960_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_923960_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_923960_v1/ public [Ocean warming & acidification experiment: Acartia hudsonica population fitness] - Population fitness measurements collected for Acartia hudsonica during multigenerational exposure to ocean warming (OW), ocean acidification (OA), and combined ocean warming and acidification (OWA) (Collaborative Research: Response of marine copepods to warming temperature and ocean acidification) These data include population fitness measurements collected for Acartia hudsonica during multigenerational exposure to ocean warming (OW), ocean acidification (OA), and combined ocean warming and acidification (OWA) including a benign ambient condition temperature and CO2 control (AM).\n\ncdm_data_type = Other\nVARIABLES:\nGeneration (unitless)\nTreatment (unitless)\nRep (unitless)\nlambda (per generation)\nsurv (unitless)\nepr (eggs per female per day)\nhf (nauplii per number of eggs laid)\nsex (females per total copepods)\ndev_time (days to adulthood)\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_923960_v1/index.htmlTable https://www.bco-dmo.org/dataset/923960 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_923960_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_923960_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_923960_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_924088_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_924088_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_924088_v1/ public [Ocean warming & acidification experiment: Acartia hudsonica survival] - Survivorship measurements collected for Acartia hudsonica during multigenerational exposure to ocean warming (OW), ocean acidification (OA), and combined ocean warming and acidification (OWA) (Collaborative Research: Response of marine copepods to warming temperature and ocean acidification) These data include survivorship measurements collected for Acartia hudsonica during multigenerational exposure to ocean warming (OW), ocean acidification (OA), and combined ocean warming and acidification (OWA) including a benign ambient condition temperature and CO2 control (AM). These data were collected every second generation between F0 and F4 for all treatments and F11 for AM and OWA. Data were collected as the proportion of surviving individuals on any day (x) relative to the starting number of individuals for a single experiment.\n\ncdm_data_type = Other\nVARIABLES:\nGeneration (unitless)\nTreatment (unitless)\nTemp (degrees Celsius)\npH (pH units)\nRep (unitless)\nBeak (unitless)\ntime_elapsed (Time, days)\nnx (number of individuals)\nlx (unitless)\nNdev (number of individuals)\nCdev (number of individuals)\nF_Ratio (females per total individuals)\nM_Ratio (males per total individuals)\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_924088_v1/index.htmlTable https://www.bco-dmo.org/dataset/924088 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_924088_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_924088_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_924088_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_906342_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_906342_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_906342_v1/ public [Ocean warming & acidification experiment: Acartia tonsa body size] - Acartia tonsa body size data for transgenerational ocean warming and acidification experiments (Collaborative Research: Response of marine copepods to warming temperature and ocean acidification) These data include body size measurements collected for Acartia tonsa during multigenerational exposure to ocean warming (OW), ocean acidification (OA), and combined ocean warming and acidification (OWA) including a benign ambient condition temperature and CO2 control (AM). These data were collected every third generation between F0 and F15 and at F25 for all treatments. Data was collected on C1 juveniles (C1), adult males (C6M), and adult females (C6F). Individual copepods were stained with non-acid lugol's solution, isolated in a drop of filtered seawater, and photographed using a Lumenera Infinity5-5 camera (Teledyne Lumenera, Ottawa, ON, CAN) attached to an inverted microscope (Olympus IX70, Olympus, Waltham, MA, USA) after the water droplet had been removed. Body size was measured as prosome length at C1 and C6 stages using Image-J (https://imagej.nih.gov/ij/).\n\ncdm_data_type = Other\nVARIABLES:\nTreatment (unitless)\nLength (millimeter (mm))\nTemp (degrees Celsius(°C))\npH (unitless)\nGeneration (unitless)\nStage (unitless)\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_906342_v1/index.htmlTable https://www.bco-dmo.org/dataset/906342 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_906342_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_906342_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_906342_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_906780_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_906780_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_906780_v1/ public [Ocean warming & acidification experiment: Acartia tonsa egg production and hatching success] - Acartia tonsa egg production rate and egg hatching success for transgenerational exposure to ocean warming and ocean acidification (Collaborative Research: Response of marine copepods to warming temperature and ocean acidification) These data include egg production rate (EPR) and egg hatching success (HS) data for Acartia tonsa during multigenerational exposure to ocean warming (OW), ocean acidification (OA), and combined ocean warming and acidification (OWA) including a benign ambient condition temperature and CO2 control (AM). These data were collected every third generation between F0 and F15 and at F25 for all treatments. Data was collected as the number of eggs produced and hatched offspring per female per treatment at each generation.\n\ncdm_data_type = Other\nVARIABLES:\nGeneration (unitless)\nRep (unitless)\nTreatment (unitless)\nTemp (degrees Celsius (°C))\npH (unitless)\nHatched (unitless)\nUnhatched (unitless)\nTotal (unitless)\nEPRtot (unitless)\nHFtot (unitless)\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_906780_v1/index.htmlTable https://www.bco-dmo.org/dataset/906780 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_906780_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_906780_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_906780_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_923908_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_923908_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_923908_v1/ public [Ocean warming & acidification experiment: Acartia tonsa population fitness] - Population fitness measurements collected for Acartia tonsa during multigenerational exposure to ocean warming (OW), ocean acidification (OA), and combined ocean warming and acidification (OWA) (Collaborative Research: Response of marine copepods to warming temperature and ocean acidification) These data include population fitness measurements collected for Acartia tonsa during multigenerational exposure to ocean warming (OW), ocean acidification (OA), and combined ocean warming and acidification (OWA) including a benign ambient condition temperature and CO2 control (AM). These data were estimated as the population net reproductive rate collected every third generation between F0 and F15 and at F25 for all treatments. These data were estimated via age-structured leslie matrices using the existing survival, fecundity (egg production and hatching success), development time, and sex ratio data for this experiment.\n\ncdm_data_type = Other\nVARIABLES:\nGeneration (unitless)\nTreatment (unitless)\nRep (unitless)\nlambda (per generation)\nsurv (unitless)\nepr (eggs per female per day)\nhf (nauplii per number of eggs laid)\nsex (females per total copepods)\ndev_time (days to adulthood)\nlambda_stand (unitless)\nsurv_stand (unitless)\nepr_stand (unitless)\nhf_stand (unitless)\nsex_stand (unitless)\ndev_stand (unitless)\nlambda_rel (unitless)\nsurv_rel (unitless)\nepr_rel (unitless)\nhf_rel (unitless)\nsex_rel (unitless)\ndev_rel (unitless)\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_923908_v1/index.htmlTable https://www.bco-dmo.org/dataset/923908 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_923908_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_923908_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_923908_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_960203_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_960203_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_960203_v1/ public [Oceanic Flux Program samples with presence and abundance of blue particles] - Presence and abundance of blue particles in Oceanic Flux Program (OFP) samples collected from 1984-2019 at the OFP mooring in the Sargasso Sea (OCE-PRF:  Towards Quantifying Calcium Carbonate Sediment Dissolution During Marine Diagenesis) These data are compiled from the Oceanic Flux Program (OFP) archive and show a number of OFP samples that contain blue particles along with the date of the collection period, depth, sample size fraction, and the presence/absence and abundance of the blue particles.\n\ncdm_data_type = Other\nVARIABLES:\nOFP_Sample_ID (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\nMid_date (unitless)\nDays_sampling (unitless)\ndepth (m)\nSize_fraction (micrometers (um))\nBlue_particle_present (unitless)\nNum_blue_particles (unitless)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_960203_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_960203_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_960203_v1/index.htmlTable https://osprey.bco-dmo.org/dataset/960203 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_960203_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_960203_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_960203_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_893866_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_893866_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_893866_v1/ public [Octocoral Recruitment] - Octocoral Recruitment surveys on transects at 6 sites on the south shore of St. John, U.S. Virgin Islands in 2021 and 2022 (Collaborative Research: Pattern and process in the abundance and recruitment of Caribbean octocorals) This dataset represents octocoral recruitment censuses conducted on survey transects at 6 sites Booby Rock (18° 18.176' N; 064° 42.626' W), Grootpan Bay (previously noted as E Cabritte or East Cabritte 18° 18.551 ' N: 0.64° 43.129' W), Europa (18° 19.003' N; 064° 43.796' W), Tektite (18° 18.775' N; 064° 43.796' W), Deep Tektite: (18° 18.582' N, 064° 43.371 W), Yawzi (18° 18.912' N, 064° 43.500' W) on the south shore of St. John, U.S. Virgin Islands between 2021 and 2022.\n\ncdm_data_type = Other\nVARIABLES:\nCensus_Year (unitless)\nDate (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\nSite (unitless)\nTransect_Position (unitless)\nSide_of_transect (unitless)\nMeter_on_transect (meters)\nTaxon (unitless)\nGenus (unitless)\nHeight (centimeters (cm))\nComments (unitless)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_893866_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_893866_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_893866_v1/index.htmlTable https://osprey.bco-dmo.org/dataset/893866 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_893866_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_893866_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_893866_v1
log in [Odontesthes regia: 2023 and 2025 common garden experiment] - Common garden experimental data on temperature effects in offspring of four Odontesthes regia populations collected along the Chilean coast from Sep 2023 to Dec 2025 (Expanding the silverside system to quantify how climate gradients determine co- and countergradient adaptation strength in the ocean) To study patterns of local adaptation to latitudinal temperature gradients in the ocean, we conducted the first common garden experiment on the Chilean silverside (Odontesthes regia). Wild adult spawners from four locations (20 – 42°S) along the Chilean coast were used to produce offspring that was then reared in triplicates from fertilization to approximately 35 mm total lengths (TL) under a set of four common temperatures in the laboratory (11-23°C) and ad libitum feeding conditions. Larval and juvenile TL were measured via calibrated digital pictures (intermediate samples) or via calipers (final samples). Subsequently, the data will allow calculating population, temperature, and life-stage-specific growth capacities (i.e., TL growth rates at excess feeding conditions). This will reveal whether higher latitude populations have evolved genetically faster growth capacities than lower latitude populations – as has so far been shown only for northern hemisphere fishes. In addition, adults collected from each location were x-rayed to count the vertebrae of each specimen and subsequently test whether lower latitude populations have fewer vertebrae on average than their higher latitude conspecifics – a phenomenon known as Jordan's Rule.\n\nThis dataset includes measurements of total length (TL) and wet weight (wW), developmental stage (Stage), individual ID, and key dates including fertilization, main hatching, and sampling. It also contains population information (Species, Population, Fert_num), collection site metadata (Longitude, Latitude), and specific conditions of the common garden experiment, such as temperature treatment (Temp_treat), replicate number, and bucket ID.\n\nThe supplemental tables provide additional data including adult total length and collection metadata (Table 1), vertebral counts from x-ray images and associated metadata (Table 2), and high-resolution temperature records from each experimental treatment tank throughout the common garden experiment (Table 3).\n\ncdm_data_type = Other\nVARIABLES:\nSpecies (unitless)\nYear (unitless)\nPopulation (unitless)\n... (21 more variables)\n BCO-DMO bcodmo_dataset_956677_v2
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_956677_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_956677_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_956677_v1/ public [Odontesthes regia: 2023 common garden experiment] - Common garden experimental data on temperature effects in offspring of four Odontesthes regia populations collected along the Chilean coast from Sep to Oct 2023 (Expanding the silverside system to quantify how climate gradients determine co- and countergradient adaptation strength in the ocean) To study patterns of local adaptation to latitudinal temperature gradients in the ocean, we conducted the first common garden experiment on the Chilean silverside (Odontesthes regia). Wild adult spawners from four locations (20 – 42°S) along the Chilean coast were used to produce offspring that was then reared in triplicates from fertilization to approximately 35 mm total lengths (TL) under a set of four common temperatures in the laboratory (11-23°C) and ad libitum feeding conditions. Larval and juvenile TL were measured via calibrated digital pictures (intermediate samples) or via calipers (final samples). Subsequently, the data will allow calculating population, temperature, and life-stage-specific growth capacities (i.e., TL growth rates at excess feeding conditions). This will reveal whether higher latitude populations have evolved genetically faster growth capacities than lower latitude populations – as has so far been shown only for northern hemisphere fishes. In addition, adults collected from each location were x-rayed to count the vertebrae of each specimen and subsequently test, whether lower latitude populations have fewer vertebrae on average than their higher latitude conspecifics – a phenomenon known as Jordan's Rule.\n\nThis dataset includes measurements of total length (TL) and wet weight (wW), developmental stage (Sample), individual ID, and key dates including fertilization, main hatching, and sampling. It also contains population information (Species, Population, PopLabel), collection site metadata (Longitude, Latitude), and specific conditions of the common garden experiment, such as temperature treatment (Temp), replicate number, and bucket ID.\n\nThe supplemental tables provide additional data including adult total length and collection metadata (Table 1), vertebral counts from x-ray images and associated metadata (Table 2), and high-resolution temperature records from each experimental treatment tank throughout the common garden experiment (Table 3).\n\ncdm_data_type = Other\nVARIABLES:\nSpecies (unitless)\nPopulation (unitless)\nPopLabel (unitless)\n... (12 more variables)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_956677_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_956677_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_956677_v1/index.htmlTable https://osprey.bco-dmo.org/dataset/956677 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_956677_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_956677_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_956677_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_960397_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_960397_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_960397_v1/ public [OFP carbon and oxygen isotopes] - A compilation of newly measured as well as compiled d13C and d18O of carbonates for various types of samples (OCE-PRF:  Towards Quantifying Calcium Carbonate Sediment Dissolution During Marine Diagenesis) This dataset contains a compilation of newly measured as well as compiled d13C and d18O of carbonates for various types of samples including bulk Oceanic Flux Program (OFP) sediment trap samples, fish carbonates, blue particles, picked foraminifera from the OFP traps, picked pteropods from the OFP traps, coccolithophores from culturing experiments, bryozoan and serpulid attached to sargassum seaweed, and red algae.\n\ncdm_data_type = Other\nVARIABLES:\nSample_ID_or_Common_name (unitless)\nSpecies (unitless)\nSample_type (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\nDiet (unitless)\nd13C (per mil with respect to VPDB)\nd13C_stdev (per mil with respect to VPDB)\nd18O (per mil with respect to VPDB)\nO18_stdev (per mil with respect to VPDB)\nSource (unitless)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_960397_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_960397_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_960397_v1/index.htmlTable https://osprey.bco-dmo.org/dataset/960397 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_960397_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_960397_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_960397_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_955729_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_955729_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_955729_v1/ public [Ontogenetic patterns in respiration rate in Acartia tonsa] - Individual respiration rate measurements for developmental stages of Acartia tonsa during temperature experiments with copepods collected from eastern Long Island Sound in July of 2021 (Linking eco-evolutionary dynamics of thermal adaptation and grazing in copepods from highly seasonal environments) The data contain individual respiration rate measurements for developmental stages of Acartia tonsa, collected from eastern Long Island Sound in July 2021. Individuals were exposed to either ambient or increased temperature as nauplii, and then tracked through development. At each developmental stage, respiration rate was measured for the individual using a PreSens respirometer. High resolution data on individual respiration rates through development are crucial for understanding how climate change may impact ecological and biogeochemical dynamics in aquatic systems. Data were collected by Mathew Holmes-Hackerd and Dr. Matthew Sasaki at the University of Connecticut.\n\ncdm_data_type = Other\nVARIABLES:\nexperiment_date (unitless)\nexperiment_day (unitless)\nexperiment_month (unitless)\nexperiment_year (unitless)\nreplicate (unitless)\nindividual (unitless)\nstage (unitless)\nvial (unitless)\nresp_rate (milligrams Oxygen consumed per hour (mg O2/hr))\nprosome_length (millimeters (mm))\ntreatment (unitless)\ngroup (unitless)\nsex (unitless)\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_955729_v1/index.htmlTable https://osprey.bco-dmo.org/dataset/955729 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_955729_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_955729_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_955729_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_914105_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_914105_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_914105_v1/ public [OOI Argentine Basin CTD and Water Sampling Data] - OOI Global Argentine Basin Array CTD and Discrete Water Sampling Data from Mooring Overturning Cruises in the Argentine Basin from 2015-2018 (OOI Cruise Data project) (OOI Discrete CTD and Water Sampling Cruise Data) The hydrographic sampling performed by OOI-CGSN (the Ocean Observatories Initiative - Coastal and Global Scale Nodes) part of each Array turn represents a significant collection of valuable physical, chemical, and biological information. In addition to the CTD, collected hydrographic data include discrete oxygen, salinity, nutrient (nitrate, nitrite, silicate, phosphate, ammonium), chlorophyll, and carbon system measurements. These data serve several important functions. First, they are necessary for the calibration and evaluation of the moored instrumentation at each Array. Furthermore, the annual (Global) or biannual (Coastal) collection of data at the same locations provides a unique time series of a large set of water properties following established community standards and methods, independent of its association with the OOI moorings.\n\nThe analyses of collected water samples for the parameters listed above are performed by a number of outside labs on behalf of OOI-CGSN. Consequently, the water sampling data for a given cruise is distributed among a number of different files. The Discrete Sampling Summary integrates the related CTD, metadata, and discrete water sample data into a single file. Additionally, it synthesizes qualitative and quantitative information about the quality of a measurement into data quality flags for each associated parameter which follow WOCE-standards.\n\nThe final product is the Discrete Sampling Summary spreadsheet which contains the metadata, CTD data and discrete water sample data into a single spreadsheet with data quality flags.\n\nThis dataset includes hydrographic data from the Global Argentine Basin Array, which was located in the South Atlantic from March 2015 to January 2018. The Argentine Basin Array was useful for exploring the global carbon cycle because of its high biological productivity fueled by iron-laden dust from South America. With strong currents persisting on the seafloor and water mass mixing, this region has elevated levels of eddy kinetic energy similar to those in the Gulf Stream.\n\ncdm_data_type = Other\nVARIABLES:\nCruise (unitless)\nStation (unitless)\nTarget_Asset (unitless)\n... (76 more variables)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_914105_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_914105_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_914105_v1/index.htmlTable https://www.bco-dmo.org/dataset/914105 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_914105_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_914105_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_914105_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_911407_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_911407_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_911407_v1/ public [OOI Irminger Sea CTD and Water Sampling Data] - OOI Global Irminger Sea Array CTD and Discrete Water Sampling Data from Mooring Overturning Cruises in the Irminger Sea from 2014-2023 (OOI Cruise Data project) (OOI Discrete CTD and Water Sampling Cruise Data) The hydrographic sampling performed by The NSF Ocean Observatories Initiative Coastal and Global Scale Nodes(OOI CGSN) as part of each Array turn represents a significant collection of valuable physical, chemical, and biological information. In addition to the CTD, collected hydrographic data include discrete oxygen, salinity, nutrient (nitrate, nitrite, silicate, phosphate, ammonium), chlorophyll, and carbon system measurements. These data serve several important functions. First, they are necessary for the calibration and evaluation of the moored instrumentation at each Array. Furthermore, the annual (Global) or biannual (Coastal) collection of data at the same locations provides a unique timeseries of a large set of water properties following established community standards and methods, independent of its association with the OOI moorings.\n\nThe analysis of collected water samples for the parameters listed above are performed by a number of outside labs on behalf of OOI-CGSN. Consequently, the water sampling data for a given cruise is distributed among a number of different files. The Discrete Sampling Summary integrates the related CTD, metadata, and discrete water sample data into a single file. Additionally, it synthesizes qualitative and quantitative information about the quality of a measurement into data quality flags for each associated parameter which follow WOCE-standards. \n\nThe final product is the Discrete Sampling Summary spreadsheet which contains the metadata, CTD data, and discrete water sample data into a single spreadsheet with data quality flags.\n\nThis dataset includes hydrographic data from the Global Irminger Sea Array located in the North Atlantic to the southeast of Greenland.This region experiences high winds and large surface waves, strong atmosphere-ocean exchanges of energy and gases, carbon dioxide sequestration, high biological productivity, and an important fishery. It is one of the few places on Earth with deep-water formation that feeds the large-scale thermohaline circulation.\n\ncdm_data_type = Other\nVARIABLES:\nCruise (unitless)\nStation (unitless)\nTarget_Asset (unitless)\n... (77 more variables)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_911407_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_911407_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_911407_v1/index.htmlTable https://osprey.bco-dmo.org/dataset/911407 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_911407_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_911407_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_911407_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_966896_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_966896_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_966896_v1/ public [OOI Pioneer NES Array CTD and Water Sampling Data] - OOI Coastal Pioneer New England Shelf Array CTD and Discrete Water Sampling Data from Mooring Overturning Cruises at the New England Continental Shelf from 2013-2022 (OOI Cruise Data Project) (OOI Discrete CTD and Water Sampling Cruise Data) The hydrographic sampling performed by OOI-CGSN (the Ocean Observatories Initiative - Coastal and Global Scale Nodes) as part of each Array turn represents a significant collection of valuable physical, chemical, and biological information. In addition to the CTD, collected hydrographic data include discrete oxygen, salinity, nutrient (nitrate, nitrite, silicate, phosphate, ammonium), chlorophyll, and carbon system measurements. These data serve several important functions. First, they are necessary for the calibration and evaluation of the moored instrumentation at each Array. Furthermore, the annual (Global) or biannual (Coastal) collection of data at the same locations provides a unique time series of a large set of water properties following established community standards and methods, independent of its association with the OOI moorings.\n\n\nThe analyses of collected water samples for the parameters listed above are performed by a number of outside labs on behalf of OOI-CGSN. Consequently, the water sampling data for a given cruise is distributed among a number of different files. The Discrete Sampling Summary integrates the related CTD, metadata, and discrete water sample data into a single file. Additionally, it synthesizes qualitative and quantitative information about the quality of a measurement into data quality flags for each associated parameter which follow WOCE-standards.\n\n\nThe final product is the Discrete Sampling Summary spreadsheet which contains the metadata, CTD data and discrete water sample data into a single spreadsheet with data quality flags.\n\n\nThe Coastal Pioneer New England Shelf (NES) Array was located off the coast of New England, about 75 nautical miles south of Martha's Vineyard from 2013 to 2022. \n\n\nThe Continental Shelf-Slope area in this region is highly productive. It serves as a dynamic intersection where ocean currents meet in weather-like “fronts,” and where nutrients, pollutants, and other properties are exchanged between the coast and the deep ocean. Data from the inshore, shelf area helps to examine exchanges between the shelf and slope and the shelf ecosystem, as well as to provide broader insight into air-sea gas exchange, including carbon dioxide absorption.The seven-site mooring array spans along- and across-shelf distances of 9 km and 47 kilometers (km). Mooring sites are separated from each other by distances of 9.2 km to 17.5 km.\n\ncdm_data_type = Other\nVARIABLES:\nCruise (unitless)\n... (79 more variables)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_966896_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_966896_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_966896_v1/index.htmlTable https://osprey.bco-dmo.org/dataset/966896 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_966896_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_966896_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_966896_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_1001459_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_1001459_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_1001459_v1/ public [OOI Regional Cabled Array CTD and Water Sampling Data] - OOI Regional Cabled Array CTD and Discrete Water Sampling Data from Maintenance Cruises in the Northeast Pacific Ocean from 2015-2024 (OOI Cruise Data project) (OOI Discrete CTD and Water Sampling Cruise Data) The hydrographic sampling performed by OOI as part of each Array turn represents a significant collection of valuable physical, chemical, and biological information. The collected hydrographic data include oxygen, salinity, nutrients (nitrate, nitrite, silicate, phosphate, and ammonium), chlorophyll, and carbon system (dissolved inorganic carbon, total alkalinity, pH, and partial pressure of CO₂) measurements. These data serve several important functions. First, they are necessary for the validation and evaluation of the moored instrumentation at each Array. Furthermore, the annual (CGSN Global, RCA) or biannual (CGSN Coastal, Endurance) collection of data at the same locations provides a unique time series of a large set of water properties following established community standards and methods, independent of its association with the OOI instrumentation.\n\nThe analyses of collected water samples for the parameters listed above are performed by a number of outside laboratories on behalf of OOI-RCA. Consequently, the water sampling data for a given cruise are distributed among a number of different files. The Discrete Sampling Summary integrates the related CTD, metadata, and discrete water sample data into a single CSV file. Additionally, it synthesizes qualitative and quantitative information about the quality of a measurement into data quality flags for each associated parameter, which follow WOCE standards.\n\nThis dataset includes hydrographic data collected near the Regional Cabled Array in the Northeast Pacific Ocean, extending from the Oregon coast across the continental shelf and terminating at Axial Seamount approximately 300 miles offshore. The region has some of the most productive waters in the world, hosting myriad seafloor and water-column organisms, as well as novel microbial communities found at methane seeps and hydrothermal vents. It is impacted by offshore seismic activity and tsunamis and is vulnerable to ocean acidification, low-oxygen events, and large storms. Data from the RCA significantly add to the broader suite of observatory sites in the Northeast Pacific.\n\ncdm_data_type = Other\nVARIABLES:\nCruise (unitless)\nStation (unitless)\n... (78 more variables)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_1001459_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_1001459_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_1001459_v1/index.htmlTable https://osprey.bco-dmo.org/dataset/1001459 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_1001459_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_1001459_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_1001459_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_923545_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_923545_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_923545_v1/ public [OOI Southern Ocean Array CTD and Water Sampling Data] - OOI Global Southern Ocean Array CTD and Discrete Water Sampling Data from Mooring Overturning Cruises in the Southern Pacific Ocean from 2015-2020 (OOI Cruise Data project) (OOI Discrete CTD and Water Sampling Cruise Data) The hydrographic sampling performed by OOI-CGSN (the Ocean Observatories Initiative - Coastal and Global Scale Nodes) part of each Array turn represents a significant collection of valuable physical, chemical, and biological information. In addition to the CTD, collected hydrographic data include discrete oxygen, salinity, nutrient (nitrate, nitrite, silicate, phosphate, ammonium), chlorophyll, and carbon system measurements. These data serve several important functions. First, they are necessary for the calibration and evaluation of the moored instrumentation at each Array. Furthermore, the annual (Global) or biannual (Coastal) collection of data at the same locations provides a unique time series of a large set of water properties following established community standards and methods, independent of its association with the OOI moorings.\n\nThe analyses of collected water samples for the parameters listed above are performed by a number of outside labs on behalf of OOI-CGSN. Consequently, the water sampling data for a given cruise is distributed among a number of different files. The Discrete Sampling Summary integrates the related CTD, metadata, and discrete water sample data into a single file. Additionally, it synthesizes qualitative and quantitative information about the quality of a measurement into data quality flags for each associated parameter which follow WOCE-standards.\n\nThe final product is the Discrete Sampling Summary spreadsheet which contains the metadata, CTD data and discrete water sample data into a single spreadsheet with data quality flags.\n\nThis dataset includes hydrographic data from the Global Southern Ocean Array. The Global Southern Ocean Array was located in the high-latitude South Pacific, west of the Southern tip of Chile in an area of large scale thermohaline circulation, intermediate water formation , and CO2 sequestration. It permitted examination of linkages between the Southern Ocean and the Antarctic, including strengthening westerly winds and upwelling. This array was in place from February 2015 to January 2020 when it was removed.\n\ncdm_data_type = Other\nVARIABLES:\nCruise (unitless)\nStation (unitless)\n... (77 more variables)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_923545_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_923545_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_923545_v1/index.htmlTable https://www.bco-dmo.org/dataset/923545 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_923545_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_923545_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_923545_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_923122_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_923122_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_923122_v1/ public [OOI Station Papa CTD and Water Sampling Data] - OOI Global Station Papa Array CTD and Discrete Water Sampling Data from Mooring Overturning Cruises in the Gulf of Alaska from 2013 to 2023 (OOI Cruise Data project) (OOI Discrete CTD and Water Sampling Cruise Data) The hydrographic sampling performed by OOI-CGSN (the Ocean Observatories Initiative - Coastal and Global Scale Nodes) as part of each Array turn represents a significant collection of valuable physical, chemical, and biological information. In addition to the CTD, collected hydrographic data include discrete oxygen, salinity, nutrient (nitrate, nitrite, silicate, phosphate, ammonium), chlorophyll, and carbon system measurements. These data serve several important functions. First, they are necessary for the calibration and evaluation of the moored instrumentation at each Array. Furthermore, the annual (Global) or biannual (Coastal) collection of data at the same locations provides a unique time series of a large set of water properties following established community standards and methods, independent of its association with the OOI moorings.\n\nThe analyses of collected water samples for the parameters listed above are performed by a number of outside labs on behalf of OOI-CGSN. Consequently, the water sampling data for a given cruise is distributed among a number of different files. The Discrete Sampling Summary integrates the related CTD, metadata, and discrete water sample data into a single file. Additionally, it synthesizes qualitative and quantitative information about the quality of a measurement into data quality flags for each associated parameter which follow WOCE-standards.\n\nThe final product is the Discrete Sampling Summary spreadsheet which contains the metadata, CTD data and discrete water sample data into a single spreadsheet with data quality flags.\n\nThis dataset includes hydrographic data from the Global Station Papa Array located in the Gulf of Alaska next to the NOAA Pacific Marine Environmental Laboratory (PMEL) Surface Buoy. The region is extremely vulnerable to ocean acidification, has a productive fishery, and low eddy variability. It is impacted by the Pacific Decadal Oscillation and adds to a broader suite of OOI and other observatory sites in the Northeast Pacific.\n\ncdm_data_type = Other\nVARIABLES:\nCruise (unitless)\nStation (unitless)\nTarget_Asset (unitless)\n... (77 more variables)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_923122_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_923122_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_923122_v1/index.htmlTable https://www.bco-dmo.org/dataset/923122 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_923122_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_923122_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_923122_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_923122_v2 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_923122_v2.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_923122_v2/ public [OOI Station Papa CTD and Water Sampling Data] - OOI Global Station Papa Array CTD and Discrete Water Sampling Data from Mooring Overturning Cruises in the Gulf of Alaska from 2013 to 2023 (OOI Cruise Data project) (OOI Discrete CTD and Water Sampling Cruise Data) The hydrographic sampling performed by OOI-CGSN (the Ocean Observatories Initiative - Coastal and Global Scale Nodes) as part of each Array turn represents a significant collection of valuable physical, chemical, and biological information. In addition to the CTD, collected hydrographic data include discrete oxygen, salinity, nutrient (nitrate, nitrite, silicate, phosphate, ammonium), chlorophyll, and carbon system measurements. These data serve several important functions. First, they are necessary for the calibration and evaluation of the moored instrumentation at each Array. Furthermore, the annual (Global) or biannual (Coastal) collection of data at the same locations provides a unique time series of a large set of water properties following established community standards and methods, independent of its association with the OOI moorings.\n\nThe analyses of collected water samples for the parameters listed above are performed by a number of outside labs on behalf of OOI-CGSN. Consequently, the water sampling data for a given cruise is distributed among a number of different files. The Discrete Sampling Summary integrates the related CTD, metadata, and discrete water sample data into a single file. Additionally, it synthesizes qualitative and quantitative information about the quality of a measurement into data quality flags for each associated parameter which follow WOCE-standards.\n\nThe final product is the Discrete Sampling Summary spreadsheet which contains the metadata, CTD data and discrete water sample data into a single spreadsheet with data quality flags.\n\nThis dataset includes hydrographic data from the Global Station Papa Array located in the Gulf of Alaska next to the NOAA Pacific Marine Environmental Laboratory (PMEL) Surface Buoy. The region is extremely vulnerable to ocean acidification, has a productive fishery, and low eddy variability. It is impacted by the Pacific Decadal Oscillation and adds to a broader suite of OOI and other observatory sites in the Northeast Pacific.\n\ncdm_data_type = Other\nVARIABLES:\nCruise (unitless)\nStation (unitless)\nTarget_Asset (unitless)\n... (77 more variables)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_923122_v2_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_923122_v2_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_923122_v2/index.htmlTable https://osprey.bco-dmo.org/dataset/923122 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_923122_v2.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_923122_v2&showErrors=false&email= BCO-DMO bcodmo_dataset_923122_v2
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_957527_v2 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_957527_v2.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_957527_v2/ public [Open cell and single-step titration method comparison] - Open cell and single-step method for total alkalinity titrations from samples collected on R/V Mirai cruises MR23-06C and MR23-07 in the North Pacific and Western Arctic from September to November 2023 (US GEOTRACES GP17-OCE and GP17-ANT: Inorganic Carbon Cycling in the South Pacific and Southern Oceans by Direct Measurement) Duplicate samples were collected for total alkalinity on two cruises in 2023 aboard the R/V Mirai (MR23-06C and MR23-07) in order to compare two different methods of total alkalinity titrations: the open cell with non-linear least squares fitting and single step with spectrophotometric endpoint detection. Measurements of dissolved inorganic carbon and pH on the total scale were also made as quality control checks. GLODAPv2 hinted at a potential offset between laboratories in the Pacific Ocean. We hypothesized that if non-negligible amounts of organic alkalinity were present, the different methods could be titrating different amounts leading to differences between the methods. The results show that any offset is within the uncertainty of the analytical precision and presence of organic alkalinity in open ocean waters remains inconclusive.\n\ncdm_data_type = Other\nVARIABLES:\nCruise (unitless)\nsample_ID (unitless)\nStation (unitless)\nCast (unitless)\nNiskinBottle_No (unitless)\nDate (unitless)\ntime_unitless (Time, unitless)\ntime (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\nlatitude (degrees_north)\nlongitude (degrees_east)\nCTD_Salinity (unitless)\nCTD_Salinity_flag (unitless)\nBottle_Salinity (unitless)\nBot_Sal_flag (unitless)\nCTD_Pressure (decibars (db))\nTotal_Alkalinity_Single_Step_method (micromoles per kilogram of seawater (umol/kg_sw))\nTotal_Alkalinity_Single_Step_Method_flag (unitless)\nFinal_pHt_for_Single_Step_method_TA (total scale)\nTotal_Alkalinity_Open_Cell_Method (micromoles per kilogram of seawater (umol/kg_sw))\n... (31 more variables)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_957527_v2_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_957527_v2_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_957527_v2/index.htmlTable https://osprey.bco-dmo.org/dataset/957527 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_957527_v2.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_957527_v2&showErrors=false&email= BCO-DMO bcodmo_dataset_957527_v2
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_918545_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_918545_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_918545_v1/ public [Organic Alkalinity Discrete Data] - Organic alkalinity data from estuary transects in Coastal Gulf of Maine (Pleasant, Maine; St. John, New Brunswick) in May and October of 2018 and 2019 (Collaborative Research: Organic Alkalinity: Impacts of the [OTHER] Alkalinity on Estuary and Coastal Ocean Chemistry) Four organic alkalinity estuary transects, in May and October of 2018 and 2019, were completed in the Pleasant (Maine, USA) and St. John (New Brunswick, Canada) estuaries.  Discrete samples were collected at intervals of salinity along each estuary.  An underway measurements system was also operated during each transect (see \"Related Datasets\" section).  Discrete samples were analyzed via a number of methods described below.  Underway measurements were collected using the procedures described in Hunt et al. (2013).\n\nOrganic alkalinity is a poorly understood component of the estuarine and coastal ocean acid-base system.  This lack of understanding makes assessment of ocean acidification vulnerability and inorganic carbon dynamics more difficult.  However, the methods used to quantify organic alkalinity and its effects on the acid-base system are not standardized.  In this work we examined several approaches for the measurement of organic alkalinity, and their application to inorganic carbon dynamics.\n\ncdm_data_type = Other\nVARIABLES:\nID (unitless)\nCollection_Date (unitless)\nCollection_Time (unitless)\ntime (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\nLatitude (degrees_north)\nlongitude (degrees_east)\nSalinity (unitless)\nIn_Situ_Water_Temperature (degrees Celcius)\npHT (unitless (total scale))\npH_Method (unitless)\npCO2 (microatmospheres)\nDOC (micromoles carbon per liter)\nT_Alk (micromoles per kilogram)\nDIC (micromoles per kilogram)\nOrgAlk_from_Endpoint_Titration (micromoles per kilogram)\n... (9 more variables)\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_918545_v1/index.htmlTable https://www.bco-dmo.org/dataset/918545 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_918545_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_918545_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_918545_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_913904_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_913904_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_913904_v1/ public [OSNAP Noble Gases 2016] - Noble gas concentrations from water samples collected in August and September 2016 during R/V Neil Armstrong cruise AR7-02 as part of the Overturning in the Subpolar North Atlantic Project (O-SNAP) (Tracking Greenland Melt in the Ocean Using Noble Gas Fingerprints) This noble gas dataset was collected around Southern Greenland in August and September of 2016 aboard the R/V Neil Armstrong as part of the Overturning in the Subpolar North Atlantic Project (O-SNAP). Parameters include the concentrations of Helium (He), Neon (Ne), Argon (Ar), Krypton (Kr), Xenon (Xe), along with the co-located temperature, salinity, and pressure data from the CTD at the sample collection point. During the cruise, 391 noble gas water samples were collected, of which funding was available for 86 to be analyzed at Woods Hole Oceanographic Institution's Isotope Geochemistry Facility. Those processed samples are archived in this dataset. The 86 analyzed noble gas samples are concentrated along five sections across the shelfbreak on the east and west sides of Cape Farewell in southern Greenland. Noble gas samples were acquired from 10-liter Niskin bottles using gravity feed-through TYGON tubing to fill lengths of 5/8\" copper refrigeration tubing (trapping ~45 grams water in replicate pairs), then each was hydraulically crimp sealed.\n\ncdm_data_type = Other\nVARIABLES:\nstation (unitless)\nlat (degrees_north)\nlongitude (degrees_east)\ntime (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\nbottle (unitless)\npressure (decibars (dbar))\ntemperature (degrees Celsius)\nsalinity (PSU)\nHe3_sat_anomaly (percent (%))\nHelium_concentration (moles per kilogram (mol/kg))\nNeon_concentration (moles per kilogram (mol/kg))\nArgon_concentration (moles per kilogram (mol/kg))\nKrypton_concentration (moles per kilogram (mol/kg))\nXenon_concentration (moles per kilogram (mol/kg))\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_913904_v1/index.htmlTable https://www.bco-dmo.org/dataset/913904 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_913904_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_913904_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_913904_v1
log in [Otolith transect geochemical concentrations] - Geochemical concentrations of elements measured in transects across otoliths of three Gulf of Mexico fish species collected from 2021-2023 (Collaborative Research: Shifting the Hypoxia Paradigm – New Directions to Explore the Spread and Impacts of Ocean/Great Lakes Deoxygenation) This dataset describes the chemical composition of otoliths of three fish species (Red Drum Sciaenops ocellatus, Southern Flounder Paralichthys lethostigma, and Atlantic Croaker Micropogonias undulatus) collected in the Matagorda Bay region of Texas in the northwestern Gulf of Mexico. Otoliths were sectioned and analysed using laser ablation inductively coupled plasma mass spectrometry (LA-ICP-MS) to obtain continuous core-to-edge transects of elemental variation across growth increments.\n\ncdm_data_type = Other\nVARIABLES:\nFishID (unitless)\nSpecies (unitless)\nDist_um (micrometers (um))\nMg24_ppm (parts per million (ppm))\nMg25_ppm (parts per million (ppm))\nP31_ppm (parts per million (ppm))\nMn55_ppm (parts per million (ppm))\nSr88_ppm (parts per million (ppm))\nBa138_ppm (parts per million (ppm))\nlatitude (Station_latitude, degrees_north)\nlongitude (Station_longitude, degrees_east)\nDate_Collected (unitless)\n BCO-DMO bcodmo_dataset_962569_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_911221_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_911221_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_911221_v1/ public [Outplant Experiment] - Littorina obtusata shell length, shell thickness, and tissue mass measured during a field experiment conducted at 12 sites in the Gulf of Maine from April to August 2021 (Local adaptation and the evolution of plasticity under predator invasion and warming seas: consequences for individuals, populations and communities) This dataset includes measurements of shell length, shell thickness, and tissue mass from a field experiment that utilized 12 Littorina obtusata populations in the Gulf of Maine, with 6 in the northern Gulf and 6 in the southern Gulf.\n\ncdm_data_type = Other\nVARIABLES:\nREGION (unitless)\nSITE (unitless)\nLATITUDE (degrees_north)\nlongitude (degrees_east)\nTREAT (unitless)\nREPLICATE_MESOCOSM (unitless)\nInitial_Shell_Length_mm (millimeters (mm))\nInitial_Shell_Thickness_mm (millimeters (mm))\nInitial_Tissue_Mass_g (grams (g))\nFinal_Shell_Length_mm (millimeters (mm))\nFinal_Shell_Thickness_mm (millimeters (mm))\nFinal_Tissue_Mass_g (grams (g))\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_911221_v1/index.htmlTable https://www.bco-dmo.org/dataset/911221 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_911221_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_911221_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_911221_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_911390_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_911390_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_911390_v1/ public [Overall Seawater Temperature at Study Sites in the Gulf of Maine] - Seawater temperatures at high tide at study sites in the Gulf of Maine prior to, during, and after an outplant experiment that was conducted from April to August 2021 (Local adaptation and the evolution of plasticity under predator invasion and warming seas: consequences for individuals, populations and communities) This dataset contains seawater temperatures at high tide at study sites prior to, during, and after an outplant experiment that was conducted from April to August 2021.\n\ncdm_data_type = Other\nVARIABLES:\nREGION (unitless)\nSITE (unitless)\nLATITUDE (degrees_north)\nlongitude (degrees_east)\nDATE (unitless)\nTEMPERATURE (degrees Celsius)\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_911390_v1/index.htmlTable https://www.bco-dmo.org/dataset/911390 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_911390_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_911390_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_911390_v1
log in [Owl limpet growth rates and density 2023-2024] - Owl limpet growth rates and density in Northern and Central California collected from eight intertidal sites from May 2023 to Nov 2024 (Evolutionary and ecological dynamics of a contemporary climate-driven range expansion) As the climate warms, species distributions are shifting poleward, but we have a limited understanding of how organisms perform in their expanded range and the environmental drivers that modulate performance across latitude during range expansions. The abundant center hypothesis (ACH) predicts that abundance and performance decline towards the edge of a species' range and is the foundation for most predictive theory extended to the eco-evolutionary dynamics of range shifts. However, it is unclear how often these predictions are met during actual range shifts and under what contexts deviations are expected. \n\nHere, we use a poleward range expansion of an intertidal limpet (Lottia gigantea) to test predictions regarding patterns of performance and environmental drivers across the geographic range. We monitored the growth of individual L. gigantea across 8 sites spanning 650 km of the California coast to quantify variation in performance. To relate growth to environmental variation, we surveyed the community of competing grazers for each owl limpet. This table contains individual-level records of initial and final shell dimensions, relative growth rates, and co-occurring grazer species counts and densities (including Lottia scabra, L. digitalis, L. pelta, Nuttallina spp., and Tegula funebralis) within focal L. gigantea territories across the eight study sites spanning the range core and expanding poleward edge, sampled between May 2023 and November 2024.\n\nStepwise forward model selection showed that competing grazing species had little effect on growth. Overall growth did not fit an ACH pattern, as growth in expanded sites was as high, if not higher than growth in range core sites. In contrast to predictions derived from the ACH, we observed rapid growth near the poleward range edge.\n\ncdm_data_type = Other\nVARIABLES:\nPlot (unitless)\nTerritory_Area (Square centimeters (cm^2))\nL_scabra (unitless)\nL_scabra_density (individual/cm^2)\nL_digitalis (unitless)\n... (20 more variables)\n BCO-DMO bcodmo_dataset_1000468_v1
log in [Owl limpet growth rates and mussel cover 2021-2023] - Owl limpet growth rates and mussel cover in Northern and Central California collected from eight intertidal sites from Jun 2021 to May 2023 (Evolutionary and ecological dynamics of a contemporary climate-driven range expansion) As the climate warms, species distributions are shifting poleward, but we have a limited understanding of how organisms perform in their expanded range and the environmental drivers that modulate performance across latitude during range expansions. The abundant center hypothesis (ACH) predicts that abundance and performance decline towards the edge of a species' range and is the foundation for most predictive theory extended to the eco-evolutionary dynamics of range shifts. However, it is unclear how often these predictions are met during actual range shifts and under what contexts deviations are expected. \n\nHere, we use a poleward range expansion of an intertidal limpet (Lottia gigantea) to test predictions regarding patterns of performance and environmental drivers across the geographic range. We monitored the growth of individual L. gigantea across eight sites spanning 650 km of the California coast to quantify variation in performance. In this dataset, to relate growth to environmental variation, we surveyed the density of conspecifics and coverage of space-holding species (mussels) in limpet microenvironments. Included for each tagged focal limpet: a plot identifier, limpet count, mussel cover, initial and final shell length and width, initial and final sampling dates and location, and relative growth rate.\n\nAbundance declined towards the poleward edge, but mussel cover varied as a mosaic. Stepwise forward model selection showed that growth declined weakly with increasing mussel cover and increased slightly with warmer body temperatures. Overall growth did not fit an ACH pattern, as growth in expanded sites was as high, if not higher than growth in range core sites. In contrast to predictions derived from the ACH, we observed rapid growth near the poleward range edge.\n\ncdm_data_type = Other\nVARIABLES:\nPlot (unitless)\nLottia_count (unitless)\nMussel_cover (cm^2)\nLength_initial (mm)\nWidth_initial (mm)\nDate_initial (unitless)\n... (8 more variables)\n BCO-DMO bcodmo_dataset_1000475_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_906949_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_906949_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_906949_v1/ public [P. australis physiological data (Cluster experiments)] - Cluster (combined temperature, nutrient concentration, and CO2) results from laboratory experiments with Pseudo-nitzschia australis conducted from 2021 to 2022 (MCA: Developing transcriptomics as a tool to investigate toxic diatom responses to ocean heatwave and upwelling events) These raw data contain physiological data collected from laboratory experiments with Pseudo-nitzschia australis.  This dataset includes results of cluster experiments of combined temperature, nutrient concentration, and CO2 in order to reflect upwelling, heatwaves, and extreme heatwaves in the natural environment. \n\nSee \"Related Datasets\" for other physiological measurements published as part of these experiments. See the results publication Kelley et al. (2003) for more detail.  The following description provides details for all related physiological measurement datasets.\n\nThese physiological measurements include: growth rates, domoic acid quotas, domoic acid production rates, net primary productivity, and nitrogen use efficiencies. Also included are pH and DIC measurement used to characterize the carbonate system. \n\nThese data revealed novel insights into P. australis bloom dynamics and may be useful to harmful algal bloom modelers and were collected and analyzed by Kyla Kelly, Amjad Mansour, Chen Liang, Andrew Kim, Lily Mancini, Dr. Matthew Bertin, Dr. Bethany Jenkins, Dr. David Hutchins, and Dr. Fei-Xue Fu.\n\ncdm_data_type = Other\nVARIABLES:\nTreatment (unitless)\nReplicate (unitless)\nGrowth_rate (per day (d-1))\nParticulate_DA_perC (nanograms of domoic acid per micromole of carbon (ng DA/umol C))\nParticulate_DA_perCell (nanograms of domoic acid per cell (ng DA/cell))\nDA_production_rate (nanograms of domoic acid per micromole of carbon per day (ng DA/umol C/day))\nNet_primary_productivity (per hour (h-1))\nNitrogen_use_efficiency (micromoles of carbon per micromoles of nitrogen per hour (umol C/umol N/hr))\nMeasured_DIC (miromoles per kilogram (umol/kg))\nMeasured_pH (total pH scale)\nCalculated_bulk_alkalinity (miromoles per kilogram (umol/kg))\nCalculated_pCO2 (microatmospheres (uatm))\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_906949_v1/index.htmlTable https://www.bco-dmo.org/dataset/906949 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_906949_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_906949_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_906949_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_906938_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_906938_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_906938_v1/ public [P. australis physiological data (CO2 experiments)] - CO2 experiment physiology and carbonate chemistry from laboratory experiments with Pseudo-nitzschia australis conducted from 2021 to 2022 (MCA: Developing transcriptomics as a tool to investigate toxic diatom responses to ocean heatwave and upwelling events) These raw data contain physiological data collected from laboratory experiments with Pseudo-nitzschia australis.  This dataset includes replicate data for CO2 experiment physiology and carbonate chemistry.\n\nSee \"Related Datasets\" for other physiological measurements published as part of these experiments. See the results publication Kelley et al. (2003) for more detail.  The following description provides details for all related physiological measurement datasets.\n\nThese physiological measurements include: growth rates, domoic acid quotas, domoic acid production rates, net primary productivity, and nitrogen use efficiencies. Also included are pH and DIC measurement used to characterize the carbonate system. \n\nThese data revealed novel insights into P. australis bloom dynamics and may be useful to harmful algal bloom modelers and were collected and analyzed by Kyla Kelly, Amjad Mansour, Chen Liang, Andrew Kim, Lily Mancini, Dr. Matthew Bertin, Dr. Bethany Jenkins, Dr. David Hutchins, and Dr. Fei-Xue Fu.\n\ncdm_data_type = Other\nVARIABLES:\nTreatment (unitless)\nReplicate (unitless)\nGrowth_rate (per day (d-1))\nParticulate_DA (nanograms of domoic acid per micromole of carbon (ng DA/umol C))\nDA_production_rate (nanograms of domoic acid per micromole of carbon per day (ng DA/umol C/day))\nMeasured_DIC (miromoles per kilogram (umol/kg))\nMeasured_pH (total pH scale)\nCalculated_bulk_alkalinity (miromoles per kilogram (umol/kg))\nCalculated_pCO2 (microatmospheres (uatm))\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_906938_v1/index.htmlTable https://www.bco-dmo.org/dataset/906938 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_906938_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_906938_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_906938_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_906858_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_906858_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_906858_v1/ public [P. australis physiological data (N:P ratio experiments)] - N:P ratio data from laboratory experiments with Pseudo-nitzschia australis (MCA: Developing transcriptomics as a tool to investigate toxic diatom responses to ocean heatwave and upwelling events) These raw data contain physiological data collected from laboratory experiments with Pseudo-nitzschia australis.  This dataset includes N:P ratio data from these experiments. \n\nIn this 3x2 matrix experiment, we compared each N:P ratio (5, 10, and 50), temperature (13 and 19°C), and total nutrient concentration (high and low) at every combination.\n\nSee \"Related Datasets\" for other physiological measurements published as part of these experiments. See the results publication Kelley et al. (2023) for more detail.  The following description provides details for all related physiological measurement datasets.\n\nThese physiological measurements include: growth rates, domoic acid quotas, domoic acid production rates, net primary productivity, and nitrogen use efficiencies. Also included are pH and DIC measurement used to characterize the carbonate system. \n\nThese data revealed novel insights into P. australis bloom dynamics and may be useful to harmful algal bloom modelers and were collected and analyzed by Kyla Kelly, Amjad Mansour, Chen Liang, Andrew Kim, Lily Mancini, Dr. Matthew Bertin, Dr. Bethany Jenkins, Dr. David Hutchins, and Dr. Fei-Xue Fu.\n\ncdm_data_type = Other\nVARIABLES:\nTreatment (unitless)\nReplicate (unitless)\nGrowth_rate (per day (d-1))\nParticulate_domoic_acid (nanograms of domoic acid per micromole of carbon (ng DA/umol C))\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_906858_v1/index.htmlTable https://www.bco-dmo.org/dataset/906858 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_906858_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_906858_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_906858_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_906927_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_906927_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_906927_v1/ public [P. australis physiological data (temperature experiments)] - Single-factor temperature experiment physiology and carbonate chemistry from laboratory experiments with Pseudo-nitzschia australis conducted from 2021 to 2022 (MCA: Developing transcriptomics as a tool to investigate toxic diatom responses to ocean heatwave and upwelling events) These raw data contain physiological data collected from laboratory experiments with Pseudo-nitzschia australis.  This dataset includes replicate data for single-factor temperature experiment physiology and carbonate chemistry.\n\nSee \"Related Datasets\" for other physiological measurements published as part of these experiments. See the results publication Kelley et al. (2003) for more detail.  The following description provides details for all related physiological measurement datasets.\n\nThese physiological measurements include: growth rates, domoic acid quotas, domoic acid production rates, net primary productivity, and nitrogen use efficiencies. Also included are pH and DIC measurement used to characterize the carbonate system. \n\nThese data revealed novel insights into P. australis bloom dynamics and may be useful to harmful algal bloom modelers and were collected and analyzed by Kyla Kelly, Amjad Mansour, Chen Liang, Andrew Kim, Lily Mancini, Dr. Matthew Bertin, Dr. Bethany Jenkins, Dr. David Hutchins, and Dr. Fei-Xue Fu.\n\ncdm_data_type = Other\nVARIABLES:\nTreatment (degrees Celsius (deg C))\nReplicate (unitless)\nGrowth_rate (per day (d-1))\nParticulate_DA (nanograms of domoic acid per micromole of carbon (ng DA/umol C))\nDA_production_rate (nanograms of domoic acid per micromole of carbon per day (ng DA/umol C/day))\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_906927_v1/index.htmlTable https://www.bco-dmo.org/dataset/906927 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_906927_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_906927_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_906927_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_1004254_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_1004254_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_1004254_v1/ public [P2107 Pyrosome Fecal Pellet Composition] - Pyrosome fecal pellet composition measurements collected from the cruise RR2105 on R/V Roger Revelle in the California Current Ecosystem from July to August 2021 (Collaborative Research: Assessing the causes of the pyrosome invasion and persistence in the California Current Ecosystem) This dataset contains fecal pellet carbon and nitrogen composition collected from pyrosome fecal pellet production experiments conducted during the cruise RR2105 on R/V Roger Revelle (CCE LTER P2107, July-August 2021) in the California Current Ecosystem.\n\ncdm_data_type = Other\nVARIABLES:\nCycle (unitless)\nday_sta (unitless)\ndate (unitless)\nlatitude (Lat_dd, degrees_north)\nlongitude (Long_dd, degrees_east)\nImage (unitless)\npellets (unitless)\nMajor_um_average (um)\ndelta13C_permil_VPDB (‰ VPDB)\ndelta15N_permil_AIR (‰ AIR)\nmicrog_C (µg C)\nmicrog_C_blank (µg C)\nmicrog_N (µg N)\nmicrog_N_average_blank (µg N)\nC_N (atm:atm)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_1004254_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_1004254_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_1004254_v1/index.htmlTable https://osprey.bco-dmo.org/dataset/1004254 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_1004254_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_1004254_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_1004254_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_1003881_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_1003881_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_1003881_v1/ public [P2107 Pyrosome Fecal Pellet Production Measurements] - Pyrosome fecal pellet production measurements collected from the cruise RR2105 on R/V Roger Revelle in the California Current Ecosystem from July to August 2021 (Collaborative Research: Assessing the causes of the pyrosome invasion and persistence in the California Current Ecosystem) This dataset contains pyrosome fecal pellet production measurements conducted during the cruise RR2105 on R/V Roger Revelle (CCE LTER P2107, July-August 2021) in the California Current Ecosystem.\n\ncdm_data_type = Other\nVARIABLES:\nCycle (unitless)\nDate (unitless)\nIncubation (unitless)\nPyrosome_number (unitless)\nTime_1 (min (minutes))\nPellets_1 (unitless)\nPellets_Per_Time_1 (unitless)\nTime_2 (min (minutes))\nPellets_2 (unitless)\nPellets_Per_Time_2 (unitless)\nTime_3 (min (minutes))\nPellets_3 (unitless)\nPellets_Per_Time_3 (unitless)\nTime_4 (min (minutes))\nPellets_4 (unitless)\nPellets_Per_Time_4 (unitless)\nMax_Pellets (unitless)\npellets_per_hour_max (pellets per hour)\nMin_Pellets (unitless)\npellets_per_hour_min (pellets per hour)\nLength_cm (cm (centimeter))\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_1003881_v1/index.htmlTable https://osprey.bco-dmo.org/dataset/1003881 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_1003881_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_1003881_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_1003881_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_1003542_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_1003542_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_1003542_v1/ public [P2107 Pyrosome Fecal Pellet Sinking] - Pyrosome fecal pellet sinking measurements collected from the cruise RR2105 on R/V Roger Revelle in the California Current Ecosystem from July to August 2021 (Collaborative Research: Assessing the causes of the pyrosome invasion and persistence in the California Current Ecosystem) This dataset contains pyrosome fecal pellet sinking measurements conducted during the cruise RR2105 on R/V Roger Revelle (CCE LTER P2107, July-August 2021) in the California Current Ecosystem.\n\ncdm_data_type = Other\nVARIABLES:\nCruise (unitless)\nYear (unitless)\nMonth (unitless)\nDay (unitless)\nno_bcodmo_term (Time, units)\nISO_DateTime_Local (unitless)\nCycle_Transect (unitless)\nCycle (unitless)\nDay_Station (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\nIncubation (unitless)\nAgedvsFresh (unitless)\nHours_Aged (unitless)\nPellet_No (unitless)\nImage_ID (unitless)\nTime1 (unitless)\nTime2 (unitless)\nMajor_um (um)\nMinor_um (um)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_1003542_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_1003542_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_1003542_v1/index.htmlTable https://osprey.bco-dmo.org/dataset/1003542 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_1003542_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_1003542_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_1003542_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_1003320_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_1003320_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_1003320_v1/ public [P2107 Pyrosome Length and Abundance] - Pyrosome count and length data collected from the cruise RR2105 on R/V Roger Revelle in the California Current Ecosystem from July to August 2021 (Collaborative Research: Assessing the causes of the pyrosome invasion and persistence in the California Current Ecosystem) This dataset contains pyrosome count and length data from bongo net tows conducted during the cruise RR2105 on R/V Roger Revelle (CCE LTER P2107, July-August 2021) in the California Current Ecosystem.\n\ncdm_data_type = Other\nVARIABLES:\nSTALINE (unitless)\nCycle (unitless)\nDay (unitless)\nHaul (unitless)\nDate (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\npyrosome_index (unitless)\npyrosome_length (cm)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_1003320_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_1003320_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_1003320_v1/index.htmlTable https://osprey.bco-dmo.org/dataset/1003320 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_1003320_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_1003320_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_1003320_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_1004017_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_1004017_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_1004017_v1/ public [P2107 Pyrosome Pellet bSi] - Pyrosome fecal pellet biogenic silica measurements collected from the cruise RR2105 on R/V Roger Revelle in the California Current Ecosystem from July to August 2021 (Collaborative Research: Assessing the causes of the pyrosome invasion and persistence in the California Current Ecosystem) This dataset contains biogenic silica measurements of pyrosome fecal pellets collected during the cruise RR2105 on R/V Roger Revelle (CCE LTER P2107, July-August 2021) in the California Current Ecosystem.\n\ncdm_data_type = Other\nVARIABLES:\nIncubation (unitless)\nCycle_id (unitless)\nday_sta_id (unitless)\ndate (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\ncycle (unitless)\nstation (unitless)\nabsorbance (percentage (%))\nslope (unitless)\ndilution_factor (unitless)\nbSi (micromoles (µm))\nbSi_filter (micromoles (µm))\npellets_for_filter (unitless)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_1004017_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_1004017_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_1004017_v1/index.htmlTable https://osprey.bco-dmo.org/dataset/1004017 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_1004017_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_1004017_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_1004017_v1
log in [P_pools_EFB_cultures_WH8102] - Cell abundance, nutrient concentrations, and intracellular phosphorus pools in Synechococcus sp. WH8102 continuous (EFB) culture experiments (Collaborative Research: Assessing the role of polyphosphate production and cycling in marine ecosystem functioning) This dataset contains measurements of fluorescence, cell abundance, phosphate concentrations, and intracellular phosphorus (P) pools from continuous culture experiments of Synechococcus sp. WH8102 conducted under controlled laboratory P treatments (High-P, Mid-P, and Low-P). Experiments were performed under steady-state conditions in exponentially fed batch (EFB) cultures (Fischer et al., 2014), with three biological replicates per treatment for four to five consecutive days. Intracellular P partitioning across major macromolecular pools, including ATP, DNA, RNA, free phosphate (Pi), phospholipids, and polyphosphate (polyP). Intracellular P pools were quantified using established biochemical and analytical methods appropriate for each fraction, enabling assessment of cellular P allocation under contrasting nutrient regimes. These data were generated to investigate how P availability constrains microbial physiology, cellular resource allocation, and population dynamics in marine cyanobacteria. The dataset provides a comprehensive view of physiological responses across organizational scales, linking P conditions and growth rates to intracellular P allocation and cell physiology in Synechococcus. Together, these measurements provide a resource for examining P-driven changes in cellular composition and nutrient use strategies in marine microbial systems.\n\ncdm_data_type = Other\nVARIABLES:\ntreatment (categorical (none))\nday (days)\nbottle (categorical (none))\nFLUO (RFU (relative fluorescence units))\ncell (cells per mL (cells / mL))\nSRP (µM (micromoles per liter))\nbiovolume (µm3  per cell)\ngrowth_rates_1_day (per day)\nATP_value_uM (µM (micromoles per liter))\nATP_value_fmol_um3 (fmol µm⁻³)\nATP_value_fmol_cell (fmol cell⁻¹)\nDNA_value_uM (µM (micromoles per liter))\nDNA_value_fmol_um3 (fmol P µm⁻³)\n... (16 more variables)\n BCO-DMO bcodmo_dataset_1005084_v1
log in [Pairwise individual genetic relatedness of oysters on restored reefs] - Genetic relatedness estimates calculated from SNP genotype data of oysters from an experimental oyster reef restoration in Ninigret Pond, Rhode Island (USA) in 2018-2020 (CAREER: Linking genetic diversity, population density, and disease prevalence in seagrass and oyster ecosystems) This dataset contains pairwise individual relatedness estimates for eastern oysters (Crassostrea virginica, urn:lsid:marinespecies.org:taxname:140657) sampled from 12 experimental restored reefs in Ninigret Pond, Rhode Island, USA in fall 2018 and fall 2020, as part of a multi-year oyster reef restoration experiment using oysters sourced from four commercial hatcheries along the U.S. Atlantic coast. Pairwise relatedness was estimated for every unique pair of individuals within the same reef and assigned genetic cluster using the Wang estimator applied to the SNP genotype data. Genetic clusters broadly correspond to the four commercial hatchery sources (Maine, Massachusetts, New York, and Virginia) as described in the related genetic assignments dataset. These data enable assessment of fine-scale relatedness patterns within the assigned genetic clusters on individual reefs across the two sampling time points\n\ncdm_data_type = Other\nVARIABLES:\nyearcoll (unitless)\nblock (unitless)\nreef (unitless)\nprimary_genetic_assignment (unitless)\ngeneticcluster_year_reef (unitless)\nind_id_1 (unitless)\nind_id_2 (unitless)\nwang_relatedness (unitless)\n BCO-DMO bcodmo_dataset_1003777_v1
log in [Palau Coral Reef Experiment 2018:  Pulse Amplitude Modulation (PAM) fluorometry] - Coral pulse amplitude modulation (PAM) fluorometry data from a heating experiment using samples collected from Nikko Bay and Rebotel Reef in Palau in the spring of 2018 (Collaborative Research: Stability, flexibility, and functionality of thermally tolerant coral symbioses) Coral reefs surrounding Palau, Micronesia are living within a broad range of thermal habitats. Specifically, corals living on the offshore barrier reefs surrounding Palau reside in waters with low temperature variability compared to the much warmer and more acidic waters of near shore environments surrounding the Rock Island habitats. \n\nThis study was designed to test the differences in thermal physiology among two species of reef corals that reside at both of these locations. Specifically, we examined how short-term elevated temperature influences  the photochemistry of each coral species from each location before and after heating, as measured by active chlorophyll fluorescence recorded by pulse amplitude modulation (PAM) fluorometry.\n\ncdm_data_type = Other\nVARIABLES:\nLocation_Name (unitless)\nlongitude (degrees_east)\nlatitude (degrees_north)\nSpecies (unitless)\nDate (unitless)\nDay (unitless)\nTreatment (unitless)\nLocation (unitless)\nColony (unitless)\nFrag (unitless)\nSymbiont (unitless)\nFq_Fm (unitless)\nFv_Fm (unitless)\nQm (unitless)\n BCO-DMO bcodmo_dataset_855054_v1
log in [Palau Coral Reef Experiment 2018: Biometrics] - Coral biometrics data from a heating experiment using samples collected from Nikko Bay and Rebotel Reef in Palau in the spring of 2018 (Collaborative Research: Stability, flexibility, and functionality of thermally tolerant coral symbioses) Using samples collected from Nikko Bay and Rebotel Reef in Palau in the spring of 2018, this dataset examines coral physiology of two species of coral, Psammacora digitata and Pocillopora verrucosa, as part of a short-term heating experiment.\n\ncdm_data_type = Other\nVARIABLES:\nLocation_Name (unitless)\nlongitude (degrees_east)\nlatitude (degrees_north)\nSpecies (unitless)\nLSID (units)\nDate (unitless)\nDay (unitless)\nSymbiont (unitless)\nTreatment (Degrees Celcius (°C))\nColony (unitless)\nCell_Density (number of cells per square centimeter of coral)\nChl_a (picograms chlorophyll a per algal cell)\nHost_protein (micrograms soluble protein per square centimeter of coral skeleton)\nGross_photosynthesis (micrograms of oxygen per algal cell per hour)\nRespiration (milligrams oxygen per milligrams animal protein per hour)\nPhotosynthesis_Respiration (unitless)\n BCO-DMO bcodmo_dataset_855036_v1
log in [Palau Coral Reef Experiment 2018: Isotopes] - Coral Isotope data from a heating experiment using samples collected from Nikko Bay and Rebotel Reef in Palau in the spring of 2018 (Collaborative Research: Stability, flexibility, and functionality of thermally tolerant coral symbioses) Coral reefs surrounding Palau, Micronesia are living within a broad range of thermal habitats. Specifically, corals living on the offshore barrier reefs surrounding Palau reside in waters with low temperature variability compared to the much warmer and more acidic waters of near shore environments surrounding the Rock Island habitats. \n\nThis study was designed to test the differences in thermal physiology among two species of reef corals that reside at both of these locations. Specifically, we examined how short-term elevated temperature influences  the uptake and assimilation of carbon and nitrogen isotopes into the symbiotic algae, the coral tissue, and the coral skeleton among these two coral species.\n\ncdm_data_type = Other\nVARIABLES:\nLocation_Name (unitless)\nlongitude (degrees_east)\nlatitude (degrees_north)\nSpecies (unitless)\nSym (unitless)\nTreatment (unitless)\nDate (unitless)\nDay (unitless)\nColony (unitless)\na_13catom (percent (%))\nh_13catom (percent (%))\ns_13catom (percent (%))\na_15natom (percent (%))\nh_15natom (percent (%))\n BCO-DMO bcodmo_dataset_948025_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_881069_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_881069_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_881069_v1/ public [Palmer Station Nitrate Uptake] - Phytoplankton nitrate uptake rates collected during the 2012-2013 Palmer Field Season (WAP Carbon export project) (Quantifying Processes Driving Interannual Variability in the Biological Carbon Pump in the Western Antarctic Peninsula) Uptake of nitrate by phytoplankton during the 2012-2013 field season of the Palmer LTER program near Anvers Island in the Western Antarctic Peninsula.  Nitrate uptake is a proxy for production based on “new” nitrogen entering the ecosystem and hence should balance export flux when integrated over sufficiently large spatial scales and long temporal scales.  Nitrate uptake was measured through the uptake of isotopically labeled nitrate, typically at 5 depts spanning the surface to 65 m depth.  Measurements were typically made twice per week through the ice-free summer phytoplankton growing season.\n\ncdm_data_type = Other\nVARIABLES:\nStation (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\nDate (unitless)\nIncubation_Start_Time (unitless)\nISO_DateTime_UTC (unitless)\ndepth (m)\nIncubation_Light_Level (unitless)\nNitrate (micromoles per Liter (umol/L))\nNO3_Uptake (micromoles per Liter per day (umol/L/day))\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_881069_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_881069_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_881069_v1/index.htmlTable https://www.bco-dmo.org/dataset/881069 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_881069_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_881069_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_881069_v1
log in [Palmer Station Particulate Thorium] - Particulate organic carbon, nitrogen, and 234Th during the 2012-2013 Palmer Field Season (WAP Carbon export project) (Quantifying Processes Driving Interannual Variability in the Biological Carbon Pump in the Western Antarctic Peninsula) Particle-bound Th-234 measurements and C:234Th ratios for particles (seston) collected during the 2012-2013 field season of the Palmer LTER program near Anvers Island in the Western Antarctic Peninsula.  Particle-bound Th-234 is a useful tracer for particle scavenging and sinking processes in the ocean.  Vertical profiles of particle-bound Th-234 and C:234Th ratios were measured approximately weekly.  Measurements typically spanned from the surface to a depth of 65 m.\n\ncdm_data_type = Other\nVARIABLES:\nStation (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\nDate_Deployed_UTC (unitless)\nDate_Deployed_Local (unitless)\nDate_Recovered_Local (unitless)\ndepth (m)\nCorg (milligrams of carbon per square meter per day (mg C/m^2/d))\nstandard_error_Corg (milligrams of carbon per square meter per day (mg C / m^2 / d))\nN (milligrams of nitrogen per square meter per day (mg N/m^2/d))\nstandard_error_N (milligrams of nitrogen per square meter per day (mg N/m^2/d))\nCorg_less_than_200 (milligrams of carbon per square meter per day (mg C/m^2/d))\nstandard_error_Corg_less_than_200 (milligrams of carbon per square meter per day (mg C/m^2/d))\nCorg_greater_than_200 (milligrams of carbon per square meter per day (mg C/m^2/d))\nstandard_error_Corg_greater_than_200 (milligrams of carbon per square meter per day (mg C/m^2/d))\nN_less_than_200 (milligrams of nitrogen per square meter per day (mg N/m^2/d))\nstandard_error_N_less_than_200 (milligrams of nitrogen per square meter per day (mg N/m^2/d))\nN_greater_than_200 (milligrams of nitrogen per square meter per day (mg N/m^2/d))\nN_greater_than_200_flag (unitless)\nstandard_error_N_greater_than_200 (milligrams of nitrogen per square meter per day (mg N/m^2/d))\nstandard_error_N_greater_than_200_flag (unitless)\nTh234 (decays per minute per meter squared per day (dmp/m^2/d))\nstandard_error_Th234 (decays per minute per meter squared per day (dmp/m^2/d))\n BCO-DMO bcodmo_dataset_881116_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_881127_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_881127_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_881127_v1/ public [Palmer Station Sediment Trap] - Particulate organic carbon, nitrogen, and Thorium-234 measurements collected during the 2012-2013 Palmer Field Season (WAP Carbon export project) (Quantifying Processes Driving Interannual Variability in the Biological Carbon Pump in the Western Antarctic Peninsula) Sinking organic carbon, nitrogen, and Th-234 fluxes measured using bottom-tethered, VERTEX-style sediment traps during the 2012-2013 field season of the Palmer LTER program near Anvers Island in the Western Antarctic Peninsula.  These flux measurements allow investigation of the ocean's biological carbon pump.  Sediment trap deployments span the ice-free season near Anvers Island.  Deployments lasted between 2 and 8 days, depending on ocean conditions.\n\ncdm_data_type = Other\nVARIABLES:\nStation (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\nDate_Deployed (unitless)\nDate_Recovered (unitless)\ndepth (m)\nCorg (milligrams of carbon per square meter per day (mg C/m^2/d))\nstandard_error_Corg (milligrams of carbon per square meter per day (mg C / m^2 / d))\nN (milligrams of nitrogen per square meter per day (mg N/m^2/d))\nstandard_error_N (milligrams of nitrogen per square meter per day (mg N/m^2/d))\nCorg_less_than_200 (milligrams of carbon per square meter per day (mg C/m^2/d))\nstandard_error_Corg_less_than_200 (milligrams of carbon per square meter per day (mg C/m^2/d))\nCorg_greater_than_200 (milligrams of carbon per square meter per day (mg C/m^2/d))\nstandard_error_Corg_greater_than_200 (milligrams of carbon per square meter per day (mg C/m^2/d))\nN_less_than_200 (milligrams of nitrogen per square meter per day (mg N/m^2/d))\nstandard_error_N_less_than_200 (milligrams of nitrogen per square meter per day (mg N/m^2/d))\nN_greater_than_200 (milligrams of nitrogen per square meter per day (mg N/m^2/d))\nN_greater_than_200_flag (unitless)\nstandard_error_N_greater_than_200 (milligrams of nitrogen per square meter per day (mg N/m^2/d))\nstandard_error_N_greater_than_200_flag (unitless)\nTh234 (decays per minute per meter squared per day (dmp/m^2/d))\nstandard_error_Th234 (decays per minute per meter squared per day (dmp/m^2/d))\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_881127_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_881127_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_881127_v1/index.htmlTable https://www.bco-dmo.org/dataset/881127 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_881127_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_881127_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_881127_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_881137_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_881137_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_881137_v1/ public [Palmer Station Size Fractionated Particulate Thorium] - Size Fractionated Particulate Thorium-234 measurements collected during the 2012-2013 Palmer Field Season (Quantifying Processes Driving Interannual Variability in the Biological Carbon Pump in the Western Antarctic Peninsula) Particle-bound Th-234 measurements and C:234Th ratios for size-fractionated particles collected during the 2012-2013 field season of the Palmer LTER program near Anvers Island in the Western Antarctic Peninsula.  Particle-bound Th-234 is a useful tracer for particle scavenging and sinking processes in the ocean.  Particles were sampled from 0, 10, 20, or 30 m depth and filtered through a 50-µm sieve before being concentrated onto a GF/F filter for carbon and Th-234 analyses.\n\ncdm_data_type = Other\nVARIABLES:\nStation (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\nCollection_Time (unitless)\ndepth (m)\nParticulate_Th234 (decays per minute per minute per liter (dmp/min/L))\nUncertainty (decays per minute per minute per liter (dmp/min/L))\nC (miligrams of carbon per cubic meter (mg C/m^-3))\nN (miligrams of carbon per cubic meter (mg C/m^-3))\nN_flag (unitless)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_881137_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_881137_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_881137_v1/index.htmlTable https://www.bco-dmo.org/dataset/881137 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_881137_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_881137_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_881137_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_881459_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_881459_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_881459_v1/ public [Palmer Station Thorium] - Total water column Thorium-234 measurements collected during the 2012-2013 Palmer Field Season (WAP Carbon export project) (Quantifying Processes Driving Interannual Variability in the Biological Carbon Pump in the Western Antarctic Peninsula) Total water-column Th-234 measurements collected during the 2012-2013 field season of the Palmer LTER program near Anvers Island in the Western Antarctic Peninsula.  238U-234Th disequilibrium is used as a proxy for sinking particle flux out of the upper ocean.  Vertical profiles of 234Th were measured using standard small-volume techniques approximately weekly.  Measurements typically spanned from the surface to a depth of 100 m.\n\ncdm_data_type = Other\nVARIABLES:\nStation (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\nCollection_Date_and_Time (unitless)\ndepth (m)\nSalinity (PSU)\nDensity (kilogram per liter (kg/L^-1))\nTh234 (decays per minute per liter (dpm/L^-1))\nUncertainty (decays per minute per liter (dpm/L^-1))\nDeficiency (decays per minute per liter (dpm/L^-1))\nDef_Uncertainty (decays per minute per liter (dpm/L^-1))\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_881459_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_881459_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_881459_v1/index.htmlTable https://www.bco-dmo.org/dataset/881459 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_881459_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_881459_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_881459_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_945218_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_945218_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_945218_v1/ public [Parasite abundance in coral reef fishes] - Parasite abundance data collected from coral reef fishes across 19 islands in the central equatorial Pacific from 2009 to 2021 (Collaborative Research: Decomposing the effects of diversity on the abundance of marine parasites) The loss of biological diversity is considered one of the principal environmental challenges of the 21st century, and there are hints that this massive reorganization of food webs could affect how parasites are transmitted among hosts. Parasites are often hidden and can be easy to overlook, but they are ecologically important and ubiquitous - so it is important to understand whether we should expect more or fewer of them as biodiversity disappears. Does biodiversity loss increase the abundance of parasites by eroding natural \"checks and balances\" on transmission? Or does it decrease parasite abundance by removing the free-living biodiversity on which parasites depend? Answers to these questions are urgently needed if we are to mitigate or prevent an uptick in parasite transmission for ecosystems experiencing biodiversity loss. \n\nIn a joint collaborative research project among the University of Washington, Scripps Institution of Oceanography at UC San Diego, and California State University Monterey Bay, we created a parasite dataset of unprecedented size and taxonomic resolution. We sampled parasites of coral reef fishes from 19 replicate islands in the central equatorial Pacific to study how biodiversity and parasite burden covary.\n\nIn this dataset, we present all of the data we collected on parasite abundance in coral reef fishes. We sampled 17 species (Acanthurus nigricans, Cephalopholis argus, Cephalopholis urodeta, Chromis iomelas, Chromis margaritifer, Ctenochaetus marginatus, Ctenochaetus striatus, Paracirrhites arcatus, Plectroglyphidodon dickii, Pseudanthias bartlettorum, Pseudanthias dispar, Pseudanthias mooreanus, Pseudanthias olivaceus, Pseudanthias pascalus, Pseudanthias spp., Stegastes aureus, Stegastes fasciolatus) across three archipelagos and 19 islands (Jarvis, Kingman, Kiritimati, Palmyra, Tabuaeran, and Teraina in the Northern Line Islands; Flint, Malden, Millennium, Starbuck, and Vostok in the Southern Line Islands; Huahine, Moorea, Raiatea, Rangiroa, Tahiti, Takapoto, Tetiaroa, and Tikehau in French Polynesia), for a total of 5,251 fish. These 17 broadly distributed host species represent a large spectrum of body sizes, including multiple taxonomic and trophic groups. Included in the dataset are specimens collected from expeditions mounted in 2009, 2010, 2011, 2013, 2019, 2020, and 2021. \n\nFish were collected with three-pronged spears and hand-nets, individually labeled and bagged, and frozen for transport before being thawed and evaluated for parasites. Parasitological dissections were designed to detect all multi-cellular (i.e., metazoan) parasites other than myxozoans, but would not have detected viral, bacterial, protozoal, or fungal parasites. Parasites were identified to the lowest possible taxonomic level and grouped into their broad parasite taxonomic grouping (i.e., Acanthocephalan, Cestoda, Copepoda, Isopoda, Monogenea, Other Crustacea, Trematoda, Nematoda) and transmission strategy (i.e., complex life cycle versus direct transmission).\n\ncdm_data_type = Other\nVARIABLES:\nfish_unique_code (units)\n... (19 more variables)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_945218_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_945218_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_945218_v1/index.htmlTable https://www.bco-dmo.org/dataset/945218 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_945218_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_945218_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_945218_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_962736_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_962736_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_962736_v1/ public [Parasite flow cytometry data] - Cell concentrations, percent of host infected, and bulk dissolved organic carbon (DOC) from laboratory experiments examining parasite-host metabolites in 2023 (Characterizing plankton parasite-host metabolites and the response of heterotrophic bacteria) Laboratory experiments were carried out to characterize plankton infection dynamics and extracellular metabolites over an infection cycle in two parasite-host pairings. Data reported here are cell concentrations, percent of host infected, and bulk DOC concentrations measured daily over an infection cycle (four days) that coincides with collection of extracellular metabolites for analysis via liquid chromatography-mass spectrometry. Separate experiments were performed for two strains of the parasite Amoebophyra sp. (4390 and 4401) that infected the same host dinoflagellate species, Scrippsiella acuminata. Metabolomics data collected from these experiments will be available on MetaboLights (MTBLS11219).\n\ncdm_data_type = Other\nVARIABLES:\nSample_name (unitless)\nInfection_experiment (unitless)\nTreatment (unitless)\ntime_elapsed (Time, days)\nReplicate (unitless)\nDate (unitless)\nCell_concentration_host (Cells per ml (cells mL-1))\nCell_concentration_spore (Cells per ml (cells mL-1))\nPercent_infected (Percent infected hosts (%))\nDOC_concentration (Milligrams per liter (mg L-1))\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_962736_v1/index.htmlTable https://osprey.bco-dmo.org/dataset/962736 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_962736_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_962736_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_962736_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_970402_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_970402_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_970402_v1/ public [Particle Amino Acid d15N Station ALOHA 2014] - Nitrogen isotopic ratios of individual amino acids extracted from size-fractionated particulate organic matter aboard the R/V Kilo Moana in February (cruise KM1407) and September (cruise KM1418) 2014 at Station ALOHA (Evaluating the relative importance of suspended and sinking particles to the meso and bathypelagic food web in the central North Pacific) The data include nitrogen isotopic ratios of individual amino acids extracted from size-fractionated particulate organic matter collected between the surface and 1200 m in the water column at Station ALOHA. Particle samples were collected via sequential size fractionation using McLane in-situ pumps on two cruises conducted aboard the R/V Kilo Moana in February (KM1407) and September (KM1418) 2014. Data were collected as part of a project focused on characterizing sources of nutrition for the mesopelagic animal food web, for which particulate organic matter was a crucial baseline resource. In addition, differences in the nitrogen isotopic ratios of individual amino acids from particle size fractions and over depth provide insight into phytoplankton origins and microbial or zooplankton alteration of particulate matter involved in carbon export. Compound-specific isotopic data and amino acid quantities were collected using gas chromatography-isotope ratio mass spectrometry, and bulk isotopic data and quantities were collected using elemental analysis-isotope ratio mass spectrometry, both at University of Hawaii. Dr. Hilary Close (former affiliation: University of Hawaii, current affiliation: University of Miami) was the primary investigator involved in sampling and analysis of data presented here.\n\ncdm_data_type = Other\nVARIABLES:\nCruise (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\ntime (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\nISO_DateTime_UTC_rep (seconds since 1970-01-01T00:00:00Z)\nDate_local (unitless)\nTime_local (unitless)\ndepth (m)\nSize_Fraction_Min (micrometers (um))\nSize_Fraction_Max (micrometers (um))\nVolume_Filtered_AAd15N (liters (L))\nd15N_Bulk (permil relative to AIR (‰))\nd15N_Ala (permil relative to AIR (‰))\nd15N_Gly (permil relative to AIR (‰))\n... (29 more variables)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_970402_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_970402_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_970402_v1/index.htmlTable https://osprey.bco-dmo.org/dataset/970402 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_970402_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_970402_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_970402_v1
log in [Particle counts, Zooglider BioSWOT-Med] - Particle counts for BioSWOT-Med Zooglider deployment in the Northwestern Mediterranean Sea, March-May 2023 (Zooglider assessment of zooplankton frontal gradients across the BIOSWOT-Med region) These data are based on deployment of the Scripps Zooglider in collaboration with the French-led BIOSWOT-Med study in the Northwestern Mediterranean Sea in Spring 2023.  This study was one of the Adopt-a-Crossover field studies carried out around the world in synchrony with the launch by NASA/CNES of the new SWOT satellite for enhanced ocean altimetry.  We deployed Zooglider on 30 March 2023 from Palma, Majora using a small craft, then navigated it remotely to the BIOSWOT-Med study region.  Initially Zooglider sampled to the east of Majorca and south of Menorca. Then we recovered Zooglider at sea, transported it to the center of an anticyclonic eddy north of Menorca, and redeployed it, navigating it from the eddy center across the eddy periphery.  We then recovered it at sea on 8 May 2023, for a total mission duration of 40 days.  Zooglider data were telemetered back to our server each time the vehicle surfaced and the data were immediately posted on our public website, available to all BIOSWOT-Med participants and any member of the general public.  The data archived here are the data recovered from the Zooglider at the end of the mission.  They include enumerations of 25 categories of planktonic organisms, plus enumerations of particles between 0.25-0.45 mm Equivalent Circular Diameter.  Data were typically acquired in Zooglider dives between approximately 420 m depth and the sea surface, apart from initial and final Zooglider dives that were somewhat shallower.\n\ncdm_data_type = Other\nVARIABLES:\nDive_number (unitless)\nlatitude (Latitude_mid_ascent_75, degrees_north)\nlongitude (Longitude_mid_ascent_75, degrees_east)\nISO_DateTime_UTC (unitless)\nPressure (decibars)\nParticles_0_25mm_0_45mm (Number/liter)\nAcantharia (Number/Liter)\nAppendicularians_w_House (Number/Liter)\nAppendicularians_without_House (Number/Liter)\nCeratium (Number/Liter)\nChaetognaths (Number/Liter)\nCladocerans (Number/Liter)\n... (21 more variables)\n BCO-DMO bcodmo_dataset_982626_v1
log in [Particle Flux] - Sediment trap flux measurements for the Hawaii Ocean Time-Series (HOT) project from December 1988 to November 2021 at Station ALOHA ([Current] Hawaii Ocean Time-series (HOT): 2018-2023;  [Previous] Hawaii Ocean Time-series (HOT): Sustaining ocean ecosystem and climate observations in the North Pacific Subtropical Gyre) Particle flux measurements from the Hawaii Ocean Time-Series (HOT). Particle flux was measured at a standard reference depth of 150 meters using multiple cylindrical particle interceptor traps deployed on a free-floating array for approximately 60 hours during each cruise. Sediment trap design and collection methods are described in Winn et al. (1991). Samples were analyzed for particulate carbon, nitrogen, phosphorus, and silica. Typically six traps are analyzed for particulate carbon and particulate nitrogen, three for particulate phosphorus, and another three traps for particulate silica.\n\ncdm_data_type = Other\nVARIABLES:\nCruise (unitless)\nLatitude (degrees_north)\nlongitude (degrees_east)\nStart_ISO_DateTime_UTC (unitless)\nEnd_ISO_DateTime_UTC (unitless)\ndepth (m)\nTreatment (unitless)\nCarbon_flux (milligrams per square meter per day (mg/m^2/d))\nCarbon_sd_diff (milligrams per square meter per day (mg/m^2/d))\nCarbon_numreps (unitless)\nNitrogen_flux (milligrams per square meter per day (mg/m^2/d))\nNitrogen_sd_diff (milligrams per square meter per day (mg/m^2/d))\nNitrogen_numreps (unitless)\nPhosphorus_flux (milligrams per square meter per day (mg/m^2/d))\nPhosphorus_sd_diff (milligrams per square meter per day (mg/m^2/d))\nPhosphorus_numreps (unitless)\nMass_flux (milligrams per square meter per day (mg/m^2/d))\nMass_sd_diff (milligrams per square meter per day (mg/m^2/d))\nMass_numreps (unitless)\nSilica_flux (milligrams per square meter per day (mg/m^2/d))\nSilica_sd_diff (milligrams per square meter per day (mg/m^2/d))\n... (11 more variables)\n BCO-DMO bcodmo_dataset_737393_v2
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_986932_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_986932_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_986932_v1/ public [Particulate bulk and amino acid d15N - EXPORTS May 2021] - Particulate bulk and amino acid d15N values from EXPORTS cruises on RRS Discovery (DY131) and RRS James Cook (JC214) in May 2021 (Collaborative Research: Isotopic Indicators for Mechanisms of Organic Matter Degradation under High Productivity and High Carbon Flux Conditions (EXPORTS)) This dataset presents bulk and compound-specific nitrogen stable isotope ratios of amino acids in size-fractionated and sinking particles from the Northeast Atlantic during the spring bloom decline as part of the second EXPORTS campaign. Size-fractionated particles were collected via in situ filtration and sinking particles were collected via sediment traps in May 2021. Size-fractionated particles were collected from 20 meters (m) to 500 m at various depths, depending on particle type. At 30 and 340 m, five size fractions were collected for both bulk and amino acids isotopic analysis: 0.3-1 micrometers (μm), 1-6 μm, 6-51 μm, 51-335 μm, and >335 μm. At 20, 50, 75 or 95, 125 or 145, 175 or 195, 330, and 500 m, two size fractions were collected for amino acid isotopic analysis: 0.8-51 μm particles and >51 μm particles. Particle data were used to determine major processes altering particulate organic matter. The collection of these data was supported by NSF.\n\ncdm_data_type = Other\nVARIABLES:\nCruise_sample_number (unitless)\nTrap_ID (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\nStart_latitude (decimal degrees)\nEnd_latitude (decimal degrees)\nStart_longitude (decimal degrees)\nEnd_longitude (decimal degrees)\ntime (Midpumping_datetime_utc, seconds since 1970-01-01T00:00:00Z)\nStart_time_UTC (unitless)\nEnd_time_UTC (unitless)\nDate_local (unitless)\nTime_local (unitless)\nStart_date_local (unitless)\nEnd_date_local (unitless)\nStart_time_local (unitless)\nEnd_time_local (unitless)\ndepth (m)\n... (38 more variables)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_986932_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_986932_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_986932_v1/index.htmlTable https://osprey.bco-dmo.org/dataset/986932 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_986932_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_986932_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_986932_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_997842_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_997842_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_997842_v1/ public [Particulate carbohydrates from RIPPLE cruises] - Particulate carbohydrate data from cruises EN667 in the Gulf of Maine in June 2021, SR2310 along the Oregon Coast in May 2023, and AE2320 in the Sargasso Sea in September 2023 (RIPPLE1, RIPPLE2, and RIPPLE3) (Production and Fate of Fats in the Upper Ocean) This dataset includes particulate carbohydrate data from samples collected on three research cruises in 2021 and 2023. In the Gulf of Maine, samples were collected on R/V Endeavor (cruise EN667) from 13 June to 21 June, 2021. Off the Oregon Coast, samples were on the R/V Sally Ride (cruise SR2310) from 18 May to 25 May, 2023. In the Sargasso Sea, samples were collected on R/V Atlantic Explorer (cruise AE2320) from 5 September to 11 September, 2023. Carbohydrates were collected via vacuum filtration onto 0.2 micrometer (um) Durapore filters. The goal of these cruises was to investigate diel carbon cycling in the surface ocean, led by Chief Scientist Ben Van Mooy.\n\ncdm_data_type = Other\nVARIABLES:\nCruise_ID (unitless)\nCruise_Name (units)\nlatitude (degrees_north)\nlongitude (Long, degrees_east)\ntime (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\nCast (unitless)\ndepth (m)\nGal_M (uncorrected moles per liter)\nGlu_M (uncorrected moles per liter)\nGal_M_Blank_Corr (blank-corrected moles per liter)\nGlu_M_Blank_Corr (blank-corrected moles per liter)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_997842_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_997842_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_997842_v1/index.htmlTable https://osprey.bco-dmo.org/dataset/997842 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_997842_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_997842_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_997842_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_925258_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_925258_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_925258_v1/ public [Particulate Carbon Concentrations and Stable Carbon Isotopes] - Particulate Carbon Concentrations and Stable Carbon Isotopes in Marine Particles Captured by In Situ Mclane Pumps at Cocos Ridge Coco Ridge (Eastern Equatorial Pacific) during cruise SR2113 between November - December 2021 (Collaborative Research: New approaches to study calcium carbonate dissolution on the sea floor and its impact on paleo-proxy interpretations) This dataset includes particulate carbon concentrations and isotopes collected in December, 2021. Suspended particles are collected at 4 different stations near Cocos Ridge, at two different size fractions using Mclane pumps.  The two size fractions are large size fraction (LSF) that is >51 um, and small size fraction (SSF) that is 0.5 -- 51 um. Concentrations and stable carbon isotopes of particulate inorganic carbon (PIC) and total carbon (TC) are measured and reported. PIC content are measured by acidifying a subsample of the Glass Fiber Filter (GFF) and measuring total CO2 released using a Picarro Cavity Ring-down Spectroscopy. TC content are analyzed by burning a subsample of the GFF on Elemental Analyzer (EA). Samples were collected during SR2113 onboard Sally Ride, under the project \"new approaches to study calcium carbonate dissolution on the sea floor and its impact on paleo-proxy interpretations\", as a water-column side determination of particle compositions and carbonate dissolution. This data reveals changes in concentrations and stable carbon isotopes with water depth, and has implications for multiple biogeochemical processes associated with both the inorganic and the organic carbon within marine particles in the water column.\n\ncdm_data_type = Other\nVARIABLES:\nGFF_ID (unitless)\nStation_Number (unitless)\nLatitude (degrees_north)\nlongitude (degrees_east)\nDate (unitless)\ndepth (m)\nBottom_Depth (meters)\nLSF_PIC_13C (per mil)\nLSF_PIC (micro-moles per kilogram)\nSSF_PIC_13C (per mil)\nSSF_PIC (micro-moles per kilogram)\nLSF_TC_13C (per mil)\nLSF_TC (micro-moles per kilogram)\nSSF_TC_13C (per mil)\nSSF_TC (micro-moles per kilogram)\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_925258_v1/index.htmlTable https://www.bco-dmo.org/dataset/925258 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_925258_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_925258_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_925258_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_997821_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_997821_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_997821_v1/ public [Particulate lipids from RIPPLE cruises] - Particulate triacylglycerol lipid data from cruises EN667 in the Gulf of Maine in June 2021, SR2310 along the Oregon Coast in May 2023, and AE2320 in the Sargasso Sea in September 2023 (RIPPLE1, RIPPLE2, and RIPPLE3) (Production and Fate of Fats in the Upper Ocean) This dataset includes particulate triacylglycerol lipid data from samples collected on three research cruises in 2021 and 2023. In the Gulf of Maine, samples were collected on R/V Endeavor (cruise EN667) from 13 June to 21 June, 2021. Off the Oregon Coast, samples were on the R/V Sally Ride (cruise SR2310) from 18 May to 25 May, 2023. In the Sargasso Sea, samples were collected on R/V Atlantic Explorer (cruise AE2320) from 5 September to 11 September, 2023. Lipid samples were collected via CTD rosette, filtered, and analyzed according to Holm et al. (2022). The goal of these cruises was to investigate diel carbon cycling in the surface ocean, led by Chief Scientist Ben Van Mooy.\n\ncdm_data_type = Other\nVARIABLES:\nCruise_ID (unitless)\nCruise_Name (units)\nlatitude (degrees_north)\nlongitude (Long, degrees_east)\ntime (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\nCast (unitless)\ndepth (m)\ncompound_name (unitless)\nelem_formula (unitless)\nLOBdbase_mz (Atomic Mass Units)\nlipid_class (unitless)\nspecies (unitless)\nFA_total_no_C (carbon atoms)\nFA_total_no_DB (double bonds)\ndegree_oxidation (additional acyl oxygen atoms)\npeak_area_per_L (blank corrected LC-MS peak area per liter)\nfmol_per_L (blank corrected femtomoles per liter)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_997821_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_997821_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_997821_v1/index.htmlTable https://osprey.bco-dmo.org/dataset/997821 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_997821_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_997821_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_997821_v1
log in [Particulate metals from the scandium incubation experiment on PUPCYCLE I in the California Current System in 2019] - Particulate metals from a scandium incubation experiment during the PUPCYCLE I R/V Oceanus cruise 1905B in the California Current System in 2019 (CAREER: An integrated molecular and physiological approach to examining the dynamics of upwelled phytoplankton in current and changing oceans) We performed an incubation experiment with added dissolved scandium and/or iron in waters sampled in the California Current System during the PUPCYCLE I cruise in 2019 with Chief Scientist Adrian Marchetti. PUPCYCLE I (Phytoplankton response to the UPwelling CYCLE) took place in summer 2019 onboard the R/V Oceanus (OC 1905b). Water for the incubation was collected from 15 m just off the Big Sur coast 2 June 2019. This was in a region with an extremely narrow shelf. There were five total treatments run in triplicate: control (no addition), +5 nmol/kg dissolved Fe, +5 nmol/kg dissolved Sc, +5 nmol/kg dissolved Fe and +5 nmol/kg dissolved Sc, and filtered seawater with +5 nmol/kg dissolved Fe and +5 nmol/kg dissolved Sc. After 24 hours incubating, the incubation was harvested and analyzed for chlorophyll, nutrients, and dissolved and particulate Fe and Sc concentrations. The effort was to investigate similarities and differences in the oceanic chemical cycling of Fe and Sc.\n\ncdm_data_type = Other\nVARIABLES:\nLabel (unitless)\nTimepoint (hours)\nTreatment (unitless)\nReplicate (unitless)\nleachable_particulate_Fe (nanomoles per kilogram (nmol/kg))\nleachable_particulate_Sc (picomoles per kilogram (pmol/kg))\n BCO-DMO bcodmo_dataset_940088_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_913566_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_913566_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_913566_v1/ public [Particulate Organic Carbon and Particulate Nitrogen] - Particulate organic carbon and particulate nitrogen from samples collected on R/V Nathaniel B. Palmer cruise NBP1910 along the Western Antarctic Peninsula from November to December 2019 (Spring Blooms of Sea Ice Algae Along the Western Antarctic Peninsula: Effects of Warming and Freshening on Cell Physiology and Biogeochemical Cycles.) This dataset includes concentrations of particulate organic carbon (POC) and particulate nitrogen (PN) from samples collected on R/V Nathaniel B. Palmer cruise NBP1910 along the Western Antarctic Peninsula from November to December 2019.\n\ncdm_data_type = Other\nVARIABLES:\nDate (unitless)\nLatitude (degrees_north)\nlongitude (degrees_east)\nDescription (unitless)\nStation_Label (unitless)\nparticulate_organic_carbon_av (moles per liter (mol/L))\nparticulate_organic_carbon_stdev (moles per liter (mol/L))\nparticulate_nitrogen_av (moles per liter (mol/L))\nparticulate_nitrogen_stdev (moles per liter (mol/L))\nno_replicates (unitless)\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_913566_v1/index.htmlTable https://www.bco-dmo.org/dataset/913566 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_913566_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_913566_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_913566_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_910948_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_910948_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_910948_v1/ public [Particulate Organic Matter from BVal58 Cruise] - Concentrations of particulate organic matter (POC, PON, POP, PCOD), total oxygen demand, POM ratios, and respiration ratios from samples collected on R/V Atlantic Explorer BATS validation study #58 in the Sargasso Sea in October 2021 (Quantifying ocean oxygen-to-carbon demand by chemical analyses and inverse models) This dataset includes suspended concentrations of particulate organic carbon (POC), particulate organic nitrogen (PON), particulate organic phosphorus (POP), particulate chemical oxygen demand (PCOD), and total oxygen demand (Sigma_-O2 = PCOD + 2PON) down to a depth of 1000 meters (m) in the Sargasso Sea. This dataset also includes POM ratios (C/N, C/P, & N/P) and respiration ratios (PCOD/POC, Sigma_-O2/C, Sigma_-O2/N, & Sigma_-O2/P) with depth. These measurements were quantified from seawater samples collected aboard the R/V Atlantic Explorer as part of the Bermuda Atlantic Time-series Study Validation cruise #58 (BVal58). BVal58 started at St. George's, Bermuda on 11 October 2021 and the research group disembarked in San Juan, Puerto Rico on 21 October 2021. Euphotic zone samples (5 - 120 m) were collected using a CTD bottle rosette and disphotic zone samples (150 - 1000 m) were collected using large volume pumps.\n\nClimate-induced ocean deoxygenation is increasing, but biological components of oxygen loss remain unconstrained. We determined from this dataset that the total respiration quotient, Sigma_-O2/C, and other respiration ratios of POM vary with depth.\n\ncdm_data_type = Other\nVARIABLES:\nStation (unitless)\nMcLane_Cast (unitless)\ntime (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\nLatitude (degrees_north)\nlongitude (degrees_east)\ndepth (Depth_m, m)\nVolume_L (liters (L))\nFilter_Num (unitless)\nDuplicate_Filter_Num (unitless)\nPOP1 (nanomolar (nM))\nPOP2 (nanomolar (nM))\nPOP3 (nanomolar (nM))\nPOP4 (nanomolar (nM))\nPOP5 (nanomolar (nM))\n... (26 more variables)\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_910948_v1/index.htmlTable https://www.bco-dmo.org/dataset/910948 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_910948_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_910948_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_910948_v1
log in [PcaFV Prevalence] - Prevalence of PcaFV in Apostichopus californicus specimens collected in Southeast Alaska from Jun to Nov 2021 (Exploring the role of boundary layer microbial remineralization in flavivirus-host dynamics) Understanding the prevalence and load of aquatic invertebrate flaviviruses is essential to estimating risk to fisheries. We surveyed the prevalence of the Apostichopus californicus (urn:lsid:marinespecies.org:taxname:529363) associated flavivirus (PcaFV) using two approaches: Loop-mediated isothermal amplification (LAMP) and quantitative reverse transcriptase PCR. We targeted this survey around two populations of A. californicus: specimens collected from Sitka Sound, Sitka, Alaska (Baranhof Island) and at undisclosed locations in the Ketchikan sea cucumber commercial fishery. We found that LAMP detected PcaFV in 21 % of tested specimens, and qRT-PCR in 88% of tested specimens. The mean load of PcaFV in copies per ng RNA extracted was significantly higher in specimens that were positive by LAMP compared to those in which LAMP did not detect PcaFV. This dataset contains PcaFV prevalence determined by RT-LAMP and qRT-PCR, as well as associated collection metadata.\n\ncdm_data_type = Other\nVARIABLES:\nSample_Name (unitless)\nSample_Identity (unitless)\nGeographic_Location (unitless)\nTissue_Type (unitless)\nPcaFV_Quantity_qRTPCR (copies ng⁻¹ RNA)\nLAMP_Detection (unitless)\nDate_of_Collection (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\n BCO-DMO bcodmo_dataset_984849_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_995760_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_995760_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_995760_v1/ public [PDAM settlement data] - Pocillopora damicornis coral settlement counts in presence of different concentrations of crustose coralline algae powder in Maui, Hawaii (June 2024) (A Field-Ready Playback System for Eco-Acoustic and Settlement Studies) These data include larval settlement counts recorded from experiments conducted at the Maui Ocean Center in Maui, Hawaii from June 23-26, 2024. The purpose of these experiments was to evaluate the feasibility of using crushed crustose coralline algae (CCA), in powder form, to induce greater coral settlement rates in an aquaria setting. Larvae of the brooding coral Pocillopora damicornis were collected from spawning colonies and placed in experimental cups filled with approximately 120 ml of FSW and a designated weight of dried crushed CCA. Settlement counts were recorded after 24-48 hours. These data were collected by Isha Goyal under the supervision of Dr. Aran Mooney of Woods Hole Oceanographic Institution.\n\ncdm_data_type = Other\nVARIABLES:\nexperiment (unitless)\nduration (hrs)\nmg_cca (mg)\nlarvae_added (larvae)\nlid (larvae)\nstilt (larvae)\ncup (larvae)\ncca_chunks (larvae)\nswimming (larvae)\nsettled (larvae)\ndead (larvae)\ntotal_present (larvae)\nscore_date_local (day)\nscore_time_local (hour)\nnotes (unitless)\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_995760_v1/index.htmlTable https://osprey.bco-dmo.org/dataset/995760 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_995760_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_995760_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_995760_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_907873_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_907873_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_907873_v1/ public [PE23-20 Binned CTD] - Processed CTD data (binned) from 20 casts conducted on R/V Pelican cruise PE23-20 in the Northern Gulf of Mexico in May 2023 (CAREER: Investigating aerobic microbial respiration dynamics in coastal hypoxia) This dataset includes the processed CTD data from 20 casts conducted on R/V Pelican cruise PE23-20 in the Northern Gulf of Mexico in May 2023. Data were averaged into 1-meter depth bins.\n\ncdm_data_type = Other\nVARIABLES:\nCast (unitless)\nLat_Start (degrees_north)\nLon_Start (degrees_east)\ntime (Iso_datetime_start_utc, seconds since 1970-01-01T00:00:00Z)\naltM (meters (m))\navgsvCM (meters per second (m/s))\nnbf (unitless)\nc0S_m (Siemens per meter (S/m))\nc1S_m (Siemens per meter (S/m))\ndepth (m)\ndz_dtM (meters per second (m/s))\nflECO_AFL (milligrams per cubic meter (mg/m^3))\nwetCDOM (milligrams per cubic meter (mg/m^3))\nlatitude (degrees_north)\nlongitude (degrees_east)\nsbeox0Mg_L (milligrams per liter (mg/L))\nsbeox1Mg_L (milligrams per liter (mg/L))\nptempC (degrees Celsius)\nprDM (decibars (db))\nsal00 (PSU)\nph (unitless (pH scale))\nsvCM (meters per second (m/s))\nspar (micromoles photons per square meter per second (umol photons/m^2/sec))\nt090C (degrees Celsius)\nt190C (degrees Celsius)\ntimeS (seconds)\ntimeM (minutes)\nflag (unitless)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_907873_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_907873_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_907873_v1/index.htmlTable https://www.bco-dmo.org/dataset/907873 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_907873_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_907873_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_907873_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_908001_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_908001_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_908001_v1/ public [PE23-20 Unbinned CTD] - Processed CTD data from 20 casts conducted on R/V Pelican cruise PE23-20 in the Northern Gulf of Mexico in May 2023 (CAREER: Investigating aerobic microbial respiration dynamics in coastal hypoxia) This dataset includes the processed CTD data from 20 casts conducted on R/V Pelican cruise PE23-20 in the Northern Gulf of Mexico in May 2023. Data have not been binned by depth.\n\ncdm_data_type = Other\nVARIABLES:\nCast (unitless)\nLat_Start (degrees_north)\nLon_Start (degrees_east)\ntime (Iso_datetime_start_utc, seconds since 1970-01-01T00:00:00Z)\naltM (meters (m))\navgsvCM (meters per second (m/s))\nnbf (unitless)\nc0S_m (Siemens per meter (S/m))\nc1S_m (Siemens per meter (S/m))\ndepth (m)\ndz_dtM (meters per second (m/s))\nflECO_AFL (milligrams per cubic meter (mg/m^3))\nwetCDOM (milligrams per cubic meter (mg/m^3))\nlatitude (degrees_north)\nlongitude (degrees_east)\nsbeox0Mg_L (milligrams per liter (mg/L))\nsbeox1Mg_L (milligrams per liter (mg/L))\nptempC (degrees Celsius)\nprDM (decibars (db))\nsal00 (PSU)\nph (unitless (pH scale))\nsvCM (meters per second (m/s))\nspar (micromoles photons per square meter per second (umol photons/m^2/sec))\nt090C (degrees Celsius)\nt190C (degrees Celsius)\ntimeS (seconds)\ntimeM (minutes)\nflag (unitless)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_908001_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_908001_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_908001_v1/index.htmlTable https://www.bco-dmo.org/dataset/908001 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_908001_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_908001_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_908001_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_944084_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_944084_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_944084_v1/ public [PE24-03 Binned CTD] - Processed CTD data (averaged into 1-meter depth bins) from 26 casts conducted on R/V Pelican cruise PE24-03 in the Northern Gulf of Mexico in August 2023 (CAREER: Investigating aerobic microbial respiration dynamics in coastal hypoxia) This dataset includes the processed CTD data from 26 casts conducted on R/V Pelican cruise PE24-03 in the Northern Gulf of Mexico in August 2023. Data were averaged into 1-meter depth bins.\n\ncdm_data_type = Other\nVARIABLES:\nCast (unitless)\nlatitude (Lat_start, degrees_north)\nlongitude (degrees_east)\ntime (Iso_datetime_start_utc, seconds since 1970-01-01T00:00:00Z)\naltM (meters (m))\navgsvCM (meters per second (m/s))\nnbf (unitless)\nc0S_m (Siemens per meter (S/m))\nc1S_m (Siemens per meter (S/m))\ndepth (m)\ndz_dtM (meters per second (m/s))\nlatitude_degrees_North (Latitude, degrees_north)\nlongitude_degrees_East (Longitude, degrees_east)\nsbeox0Mg_L (milligrams per liter (mg/L))\nsbeox1Mg_L (milligrams per liter (mg/L))\nprDM (decibars (db))\nsal00 (PSU)\nsvCM (meters per second (m/s))\nt090C (degrees Celsius)\nt190C (degrees Celsius)\ntimeS (seconds)\nCStarTr0 (percent (%))\nph (unitless (pH scale))\nflECO_AFL (milligrams per cubic meter (mg/m^3))\nsal11 (PSU)\nsecS_priS (PSU)\nflag (unitless)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_944084_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_944084_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_944084_v1/index.htmlTable https://www.bco-dmo.org/dataset/944084 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_944084_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_944084_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_944084_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_944178_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_944178_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_944178_v1/ public [PE24-03 Unbinned CTD] - Processed CTD data from 26 casts conducted on R/V Pelican cruise PE24-03 in the Northern Gulf of Mexico in August 2023 (CAREER: Investigating aerobic microbial respiration dynamics in coastal hypoxia) This dataset includes the processed CTD data from 26 casts conducted on R/V Pelican cruise PE24-03 in the Northern Gulf of Mexico in August 2023. Data have not been binned by depth.\n\ncdm_data_type = Other\nVARIABLES:\nCast (unitless)\nlatitude (Lat_start, degrees_north)\nlongitude (degrees_east)\ntime (Iso_datetime_start_utc, seconds since 1970-01-01T00:00:00Z)\naltM (meters (m))\navgsvCM (meters per second (m/s))\nnbf (unitless)\nc0S_m (Siemens per meter (S/m))\nc1S_m (Siemens per meter (S/m))\ndepth (m)\ndz_dtM (meters per second (m/s))\nlatitude_degrees_North (Latitude, degrees_north)\nlongitude_degrees_East (Longitude, degrees_east)\nsbeox0Mg_L (milligrams per liter (mg/L))\nsbeox1Mg_L (milligrams per liter (mg/L))\nprDM (decibars (db))\nsal00 (PSU)\nsvCM (meters per second (m/s))\nt090C (degrees Celsius)\nt190C (degrees Celsius)\ntimeS (seconds)\nCStarTr0 (percent (%))\nph (unitless (pH scale))\nflECO_AFL (milligrams per cubic meter (mg/m^3))\nsal11 (PSU)\nsecS_priS (PSU)\nflag (unitless)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_944178_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_944178_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_944178_v1/index.htmlTable https://www.bco-dmo.org/dataset/944178 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_944178_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_944178_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_944178_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_999300_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_999300_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_999300_v1/ public [PEnum and PEmass] - Number and mass production efficiencies of primary marine aerosol (PMA) generated from seawater near the BATS station during the R/V Atlantic Explorer cruises AE2113 (July 2021) and AE2303 (January 2023) (Collaborative Research: Seasonal Variability in refractory dissolved organic carbon fluxes associated with primary marine aerosol emitted from the oceans) This data set includes the number and mass production efficiencies of model primary marine aerosol (mPMA) generated from seawater near the BATS station onboard the R/V Atlantic Explorer. Particles were generated using a high-capacity marine aerosol generator on board the ship during two distinct seasons, summer (July 23 - August 1, 2021) and winter (January 18 - 28, 2023) and were counted and sized. Particle number and mass size distributions were converted to production efficiencies using the volume of the air flowing through the generator.\n\ncdm_data_type = Other\nVARIABLES:\nCruise_Number (unitless)\nAtlantic_Standard_Date_Time (unitless)\ntime (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\nPE_mass (micrograms per liter (ug/L))\nPE_number (per liter (1/L))\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_999300_v1/index.htmlTable https://osprey.bco-dmo.org/dataset/999300 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_999300_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_999300_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_999300_v1
log in [Peptidase and glucosidase activities from mesocosm and bulk water incubations.] - Peptidase and glucosidase activities from mesocosm and bulk water incubations from waters taken aboard the R/V Endeavor in the Western North Atlantic during the research cruise EN683 in May and June, 2022. (Substrate structural complexity and abundance control distinct mechanisms of microbially-driven carbon cycling in the ocean) This dataset includes the measurements of leucine aminopeptidase, glucosidase, and endo-acting (mid-chain cleaving) peptidase activities from bulk and mesocosm incubations from waters taken aboard the R/V Endeavor in the Western North Atlantic during the research cruise EN683 (2022-05-24 to 2022-06-12). Waters for bulk incubation were taken at three sites and various depths, mesocosm incubations were taken at two sites and two depths. \n                 \nThis research tested the hypothesis that the mechanism of polysaccharide processing is related to the cost to a cell of producing the enzymes required for its hydrolysis, and the probability that a cell will receive sufficient return on investment for producing the enzymes. Our conceptual model suggests that external (extracellular) hydrolysis is favored when organic matter is abundant, or when enzyme production costs can be shared (e.g., on particles, in biofilms); selfish uptake (hydrolysis without production of low molecular weight products in the environment) would be a better strategy when high molecular weight (HMW) organic matter is scarce, and particularly when the HMW organic matter is very complex. \n\nSeawater was sampled from four depths at our initial station, and the deep chlorophyll maximum and bottom water from two subsequent stations differing in typical extent of primary productivity. \n\nWe incubated mesocosms of seawater from the deep chlorophyll maximum and from bottom water from two stations differing in typical extent of primary productivity. We changed organic matter availability by adding to three mesocosms high molecular weight organic matter (dissolved and particulate) from diatoms, three mesocosms received an addition of the polysaccharide fucoidan, and three mesocosms were amended with the polysaccharide arabinogalactan. One mesocosm from each depth and station was left unamended. \n\nThese data help test this model because they provide information about the activities of exo-acting glucosidases and an exo-acting peptidase, plus endo-acting peptidases, all of which are used to hydrolyze high molecular weight organic matter. Activities of these enzymes differed by station as well as by depth\n\ncdm_data_type = Other\nVARIABLES:\nIncubation (unitless)\n... (28 more variables)\n BCO-DMO bcodmo_dataset_956085_v1
log in [Peptide spectral counts (MetZyme 0.2)] - Peptides and their spectral counts from KM1128 the METZYME expedition on R/V Kilo Moana in the tropical North Pacific in 2011 (Connecting Trace Elements and Metalloenzymes Across Marine Biogeochemical Gradients (GPc03)) Global metaproteomic dataset for KM1128 the METZYME expedition. Size fractionated samples collected by McLane pump filters (filter size 0.2 – 3.0 micron). The global proteome dataset presented here included 16951 protein identifications and 31994 unique peptide identifications compiled from 37 samples and 74 raw files (CID and HCD modes for each file) and ### total spectra.\n\ncdm_data_type = Other\nVARIABLES:\ncruise_id (unitless)\nstation_id (unitless)\ndepth (Depth_m, m)\nlatitude (Latitude_dd, degrees_north)\nlongitude (Longitude_dd, degrees_east)\ndate_y_m_d (unitless)\ntime_h_m_s (unitless)\nsample_id (unitless)\ntime (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\nMS_MS_sample_name (unitless)\nprotein_id (unitless)\nprotein_molecular_weight_kDa (kilodalton (kDa))\nbest_protein_id_probability (unitless)\npeptide_sequence (unitless)\npeptide_start_index (unitless)\npeptide_stop_index (unitless)\nplus2H_spectra_count (unitless)\nplus3H_spectra_count (unitless)\nplus4H_spectra_count (unitless)\nBest_SEQUEST_DCn_score (unitless)\nBest_SEQUEST_XCorr_score (unitless)\nmedian_retention_time (minutes)\ntotal_precursor_intensity (unitless)\nTIC (unitless)\n... (4 more variables)\n BCO-DMO bcodmo_dataset_731314_v5
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_918518_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_918518_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_918518_v1/ public [Percent cover measure of mussel bed succession on rocky shores due to intra-population variation in dogwhelk drilling] - Percent cover measure of mussel bed succession on rocky shores due to intra-population variation in dogwhelk drilling (Coastal mosaics of local adaptation and the eco-evolutionary dynamics of a marine predator-prey interaction) Despite growing interest of eco-evolutionary dynamics, there have been few experiments that test the importance of these feedbacks in natural ecosystems at the community level. A selection experiment on intra-population variation in dogwhelk (Nucella canaliculata) drilling was performed in the laboratory. Dogwhelks were given one of four early-life diet treatments (thin-shelled Mytilus trossulus mussels, two treatments of M. californianus from two populations known to differ in shell thickness, and acorn barnacles) for the first 3 months of life. Surviving adult dogwhelks were outplanted to field cages at Bodega Marine Reserve to test the ecological consequences of divergent phenotypes. Mussel bed succession was quantified by percent cover of sessile organisms in the plots over the course of approximately one year.\n\ncdm_data_type = Other\nVARIABLES:\nBlock (unitless)\nPlot_Number (unitless)\nFamily (unitless)\nSite_Latitude (degrees_north)\nlongitude (Site_longitude, degrees_east)\nTreatment (unitless)\nFamily_x_Treatment (unitless)\nDate (unitless)\nCheck (unitless)\nBare_Rock (percent (%))\nAcorn_Barnacles (percent (%))\nMussels (percent (%))\nGooseneck_Barnacles (percent (%))\nOther_Sessile_Animals (percent (%))\nCoralline_Algae (percent (%))\nAlgae_and_Surfgrass (percent (%))\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_918518_v1/index.htmlTable https://www.bco-dmo.org/dataset/918518 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_918518_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_918518_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_918518_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_964162_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_964162_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_964162_v1/ public [Performance of coral and sea anemone early life stages under normoxic and hypoxic conditions] - Performance of coral and sea anemone early life stages under normoxic and hypoxic conditions from lab and field experiments performed in Pennsylvania (USA) and Bermuda in 2023-2024 (CAREER: Helping or hindering? Determining the influence of repetitive marine heatwaves on acclimatization of reef-building corals across biological scales) This dataset arose from a project in which we investigated how hypoxia influences coral and sea anemone early life stages by comparing hypoxia responses across larvae and juveniles of three cnidarian species representing a range of life histories: the reef-building coral Galaxea fascicularis, a broadcast spawner with horizontal transmission of endosymbiotic algae (family Symbiodiniaceae); the reef-building coral Porites astreoides, a brooder with vertical endosymbiont transmission; and the estuarine sea anemone Nematostella vectensis, a non-symbiotic broadcast spawner. Specifically, larvae were exposed to normoxic (i.e., controls) or hypoxic (dissolved oxygen < 2 mg L−1 for 6 h) conditions before being cultured (under normoxia) through the juvenile stage. Data pertaining to organismal performance—including size, ash-free dry weight, protein content, chlorophyll content, symbiont density, photosynthesis and respiration rates, photochemical yield, heat tolerance (survival and Fv/Fm), settlement rate, and swimming behavior—were collected at several time points alongside environmental variables such as temperature, salinity, and dissolved oxygen concentration.\n\ncdm_data_type = Other\nVARIABLES:\nData_filename (unitless)\nSpecies (unitless)\nTreatment (unitless)\nCohort (unitless)\nGroup (unitless)\nLife_stage (unitless)\nHours_post_treatment (hours)\nAFDW_ug_mm (µg/mm)\nChlorophyll_pg_symbiont (pg/cell)\nHours_at_36_C (hours)\nDark_adapted_Fv_Fm_1 (unitless)\nLarvae_surviving (unitless)\nTotal_larvae (unitless)\nProportion_surviving (unitless)\nPercent_surviving (percent)\n... (11 more variables)\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_964162_v1/index.htmlTable https://osprey.bco-dmo.org/dataset/964162 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_964162_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_964162_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_964162_v1
log in [Peroxide quantification in T. testudinum tissue] - Peroxide quantification in Thalassia testudinum tissue and response to pathogenic Labyrinthula in seagrass collected February 2024 in Tampa Bay, Florida (Collaborative Research: VIDA Seagrass: Viral Infection Dynamics Among Seagrass) This dataset presents results of peroxide assays and concentrations of hydrogen peroxide from seagrass tissue. While seagrass serve as a vital foundation species in many coastal ecosystems, investigations of marine host-pathogen interactions continue to be underexplored and provide insights into the biological factors leading to seagrass die-offs. Infection of the marine subtropical seagrass Thalassia testudinum (Banks ex König) by pathogenic Labyrinthula sp. was found to induce alterations to the host's oxidative metabolism over the early stages of infection (monitored over a 72-hr time course). In planta hydrogen peroxide levels provided supporting evidence of a coordinated hypersensitive response in the host plant following infection by the etiological agent of seagrass wasting disease, pathogenic Labyrinthula sp.\n\ncdm_data_type = Other\nVARIABLES:\nType (unitless)\nID (unitless)\nTreatment (unitless)\nDuration_hours (hours)\nH2O2_concentration (micromolar (umols/L))\nGross_A_585nm (absorbance units (AU))\nNet_A_585nm (absorbance units (AU))\nBlank_value (absorbance units (AU))\nprotein_content (micrograms per milliliter (ug/mL))\nH2O2_conc_normalized_to_protein (picomoles H2O2 per microgram of protein (pmols/ug))\nH2O2_conc_plus3 (picomoles H2O2 per microgram of protein (pmols/ug))\n BCO-DMO bcodmo_dataset_970532_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_905357_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_905357_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_905357_v1/ public [pH internal Consistency Experiment: Measured pH and nutrients] - Measured pH and nutrient data acquired during the pH internal consistency experiment. (Improving Accuracy and Precision of Marine Inorganic Carbon Measurements) These data include the measured pHt, total alkalinity, dissolved inorganic carbon, raw pHt absorbance, and calculated pHt of 25 batches of seawater as a function of temperature, salinity, and pCO2. These data were used to evaluate the internal consistency of 120 different possible combinations of CO2 system constants. \n\nThe marine inorganic carbon system can be calculated with two measured parameters due to thermodynamic relationships. However, there are many different parameterizations for the required constants and the most accurate or best is not known. These data were used to evaluate the constants and make recommendations for which constants to use, and how to perform CO2 system calculations.\n\ncdm_data_type = Other\nVARIABLES:\nBatch (unitless)\nPractical_Salinity (unitless)\nTemp (degrees Celsius (˚C))\nmeas_pHt (unitless)\npHt_std_err (unitless)\nmeas_TA (micromoles per kilogram (µmol/kg))\nTA_std (micromoles per kilogram (µmol/kg))\nmeas_DIC (micromoles per kilogram (µmol/kg))\nDIC_std (micromoles per kilogram (µmol/kg))\nequilibrator_pCO2 (microatmospheres (µatm))\nPO4 (micromoles per kilogram (µmol/kg))\nPO4_stdev (micromoles per kilogram (µmol/kg))\nSi (micromoles per kilogram (µmol/kg))\nSi_stdev (micromoles per kilogram (µmol/kg))\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_905357_v1/index.htmlTable https://www.bco-dmo.org/dataset/905357 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_905357_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_905357_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_905357_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_905235_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_905235_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_905235_v1/ public [pH internal Consistency Experiment: Raw pH Data] - Raw pH data acquired during the pH internal consistency experiment. (Improving Accuracy and Precision of Marine Inorganic Carbon Measurements) These data include the measured pHt, total alkalinity, dissolved inorganic carbon, raw pHt absorbance, and calculated pHt of 25 batches of seawater as a function of temperature, salinity, and pCO2. These data were used to evaluate the internal consistency of 120 different possible combinations of CO2 system constants.\n\nThe marine inorganic carbon system can be calculated with two measured parameters due to thermodynamic relationships. However, there are many different parameterizations for the required constants and the most accurate or best is not known. These data were used to evaluate the constants and make recommendations for which constants to use, and how to perform CO2 system calculations.\n\ncdm_data_type = Other\nVARIABLES:\nBatch (unitless)\nBottle (unitless)\nRep (unitless)\nPractical_Salinity (unitless)\nCalculated_Temperature (Degrees Celsius (˚C))\nMeasured_Temperature (Degrees Celsius (˚C))\nA434 (Absorbance units (AU))\nA578 (Absorbance units (AU))\nA730 (Absorbance units (AU))\nA488 (Absorbance units (AU))\nR (Absorbance units (AU))\nraw_pHt (unitless)\nflag (unitless)\nflag_reason (unitless)\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_905235_v1/index.htmlTable https://www.bco-dmo.org/dataset/905235 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_905235_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_905235_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_905235_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_905278_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_905278_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_905278_v1/ public [pH internal Consistency Experiment: TA & DIC] -  (Improving Accuracy and Precision of Marine Inorganic Carbon Measurements) These data include the measured pHt, total alkalinity, dissolved inorganic carbon, raw pHt absorbance, and calculated pHt of 25 batches of seawater as a function of temperature, salinity, and pCO2. These data were used to evaluate the internal consistency of 120 different possible combinations of CO2 system constants. \n\nThe marine inorganic carbon system can be calculated with two measured parameters due to thermodynamic relationships. However, there are many different parameterizations for the required constants and the most accurate or best is not known. These data were used to evaluate the constants and make recommendations for which constants to use, and how to perform CO2 system calculations.\n\ncdm_data_type = Other\nVARIABLES:\nBatch (unitless)\nPractical_Salinity (unitless)\nmeas_TA (micromoles per kilogram (µmol/kg))\nmeas_DIC (micromoles per kilogram (µmol/kg))\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_905278_v1/index.htmlTable https://www.bco-dmo.org/dataset/905278 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_905278_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_905278_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_905278_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_914002_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_914002_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_914002_v1/ public [Phenotypic plasticity of the ciliated band of early echinoderm larvae] - Phenotypic plasticity of the ciliated band of seven species of echinoderm larvae, collected between 2020 and 2022 in the laboratory at California State University, Long Beach. (RUI: Effects of large inedible particles on larval feeding, planktonic larval duration, and juvenile quality in marine invertebrates) This experiment assesses phenotypic plasticity of the ciliated band. This dataset contains estimates of the ciliated band generated by both direct measurement and by tracing of the band for non-pluteus larvae, used in evaluation of tracing as a proxy for direct measurement. The data was collected between 2020 and 2022 in the laboratory at California State University, Long Beach.\n\ncdm_data_type = Other\nVARIABLES:\nForm (unitless)\nSpecies (unitless)\nAge (days)\nDev (unitless)\nTreatment (unitless)\nFamily (unitless)\nLarva (unitless)\ncbl (mm)\nbl (mm)\nsl (mm)\nsw (mm)\nsgmean (mm)\nmpo (mm)\npo1 (mm)\npo2 (mm)\nmouth (mm)\ntrace1 (mm)\ntrace2 (mm)\ntrace_full (mm)\ngeospatial_bound_N (degrees_north)\ngeospatial_bound_S (degrees_north)\ngeospatial_bound_E (degrees_east)\ngeospatial_bound_W (degrees_east)\nexperiment_location_lat (degrees_north)\nexperiment_location_long (degrees_east)\nexperiment_start (unitless)\nexperiment_end (unitless)\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_914002_v1/index.htmlTable https://www.bco-dmo.org/dataset/914002 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_914002_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_914002_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_914002_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_913222_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_913222_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_913222_v1/ public [Photosynthetic Pigments] - Photosynthetic pigments from sea ice samples collected on R/V Nathaniel B. Palmer cruise NBP1910 along the Western Antarctic Peninsula from November to December 2019 (Spring Blooms of Sea Ice Algae Along the Western Antarctic Peninsula: Effects of Warming and Freshening on Cell Physiology and Biogeochemical Cycles.) This dataset includes concentrations of photosynthetic pigments from sea ice samples at various stages of melt collected during the spring melt of November and December 2019 from coastal waters along the Western Antarctic Peninsula. Samples were collected during the R/V Nathaniel B. Palmer cruise NBP1910. Pigments were determined by high-performance liquid chromatography (HPLC).\n\ncdm_data_type = Other\nVARIABLES:\nDate (unitless)\nLatitude (degrees_north)\nlongitude (degrees_east)\nDescription (unitless)\nSample_id (unitless)\nReplicate (unitless)\nChl_c3 (micrograms per liter (ug/L))\nChl_c1c2 (micrograms per liter (ug/L))\nPerid (micrograms per liter (ug/L))\nButFuc19 (micrograms per liter (ug/L))\nFuco (micrograms per liter (ug/L))\nHexFuc19 (micrograms per liter (ug/L))\nNeo (micrograms per liter (ug/L))\nPrasino (micrograms per liter (ug/L))\nViola (micrograms per liter (ug/L))\nDiad (micrograms per liter (ug/L))\nAnther (micrograms per liter (ug/L))\nAllox (micrograms per liter (ug/L))\nDiat (micrograms per liter (ug/L))\nLutein (micrograms per liter (ug/L))\nZeax (micrograms per liter (ug/L))\nGyro (micrograms per liter (ug/L))\nChl_b (micrograms per liter (ug/L))\nChla_Allomer (micrograms per liter (ug/L))\n... (7 more variables)\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_913222_v1/index.htmlTable https://www.bco-dmo.org/dataset/913222 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_913222_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_913222_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_913222_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_913655_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_913655_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_913655_v1/ public [Physical Profiles of Temperature, Salinity, and Brine Volume] - Physical profiles of temperature, salinity, and brine volume in sea ice from samples collected on R/V Nathaniel B. Palmer cruise NBP1910 along the Western Antarctic Peninsula from November to December 2019 (Spring Blooms of Sea Ice Algae Along the Western Antarctic Peninsula: Effects of Warming and Freshening on Cell Physiology and Biogeochemical Cycles.) This dataset includes physical profiles of temperature, salinity, and brine volume in sea ice from samples collected on R/V Nathaniel B. Palmer cruise NBP1910 along the Western Antarctic Peninsula from November to December 2019.\n\ncdm_data_type = Other\nVARIABLES:\nStation (unitless)\nCore (unitless)\nLatitude (degrees_north)\nlongitude (degrees_east)\nDate (unitless)\nStation_Description (unitless)\nDepth_cm (centimeters (cm))\ntemp_range_for_calculations (degrees Celsius)\nTemperature (degrees Celsius)\nBrine_salinity (unitless)\nBulk_Salinity (unitless)\nbrine_volume_fraction_Cox_Weeks (?)\nIce_density (milligrams per cubic meter (mg/m-3))\nF1 (milligrams per cubic meter (mg/m-3))\nF2 (milligrams per cubic meter (mg/m-3))\nCore_volume (milliliters (mL))\nBrine_Volume (milliliters (mL))\nbrine_volume_fraction_Frankenstein_Garner (?)\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_913655_v1/index.htmlTable https://www.bco-dmo.org/dataset/913655 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_913655_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_913655_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_913655_v1
log in [Physicochemical Experimental Data and PcaFV Loads in Experiment] - Dynamics of the Apostichopus californicus-associated flavivirus under suboxic conditions and organic matter amendment in mesocosm experiment (Exploring the role of boundary layer microbial remineralization in flavivirus-host dynamics) Flaviviruses cause some of the most detrimental vertebrate diseases, yet little is known of their impacts on invertebrates. Microbial activities at the animal-water interface are hypothesized to influence viral replication and possibly contribute to pathology of echinoderm wasting diseases due to hypoxic stress. We assessed the impacts of enhanced microbial production and suboxic stress on Apostichopus californicus (urn:lsid:marinespecies.org:taxname:529363) associated flavivirus (PcaFV) load in a mesocosm experiment. Organic matter amendment and suboxic stress resulted in lower PcaFV load, which also correlated negatively with animal mass loss and microbial activity at the animal-water interface. These data suggest that PcaFV replication and persistence was best supported in healthier specimens. Our results do not support the hypothesis that suboxic stress or microbial activity promote PcaFV replication, but rather that PcaFV appears to be a neutral or beneficial symbiont of Apostichopus californicus. This primary dataset contains per-specimen measurements including experimental treatments, microbial productivity (animal surface and mesocosm water), body wall lipid/protein content, animal mass loss, tissue-specific PcaFV viral loads at initial and final timepoints, and collection metadata. The supplemental file provides time-series measurements of dissolved oxygen and temperature in mesocosms, indexed by tank number, treatment, and timestamp.\n\ncdm_data_type = Other\nVARIABLES:\nSpecimen_No (unitless)\nTreatment (unitless)\nAnimal_Surf_Productivity (unitless)\nMesocosm_Water_Productivity (unitless)\nTissue_Lipid_pct (percent)\nTissue_Protein_Concentration (ug/mL)\nAnimal_Mass_loss (percent per day)\nTube_Foot_PcaFV_Load_Day_0 (copies / ng RNA)\nTube_Foot_PcaFV_Load_Day_7 (copies / ng RNA)\nResp_Tree_PcaFV_Load_Day_7 (copies / ng RNA)\nGonad_PcaFV_Load_Day_7 (copies / ng RNA)\nIntestine_PcaFV_Load_Day_7 (copies / ng RNA)\nDate_of_Animal_Sampling (unitless)\nDate_of_Specimen_Collection (unitless)\n BCO-DMO bcodmo_dataset_984803_v1
log in [Physiological measurements from PUPCYCLE II iron incubation experiment] - Physiological measurements from iron incubation experiment using upwelled waters in the California Current System during the PUPCYCLE II cruise in May and June 2023 (CAREER: An integrated molecular and physiological approach to examining the dynamics of upwelled phytoplankton in current and changing oceans) This dataset includes physiological measurements from an iron incubation experiment using upwelled waters sampled in the California Current System (CCS) during the PUPCYCLE II cruise with Chief Scientist Adrian Marchetti. PUPCYCLE II (Phytoplankton response to the UPwelling CYCLE) took place onboard the R/V Sally Ride from May 29th to June 10th, 2023. Freshly upwelled seawater for the incubation experiment was collected within the northern CCS and placed into designated cubitainers. Three cubitainers were immediately harvested for the initial timepoint (T0). The remaining twenty-seven cubitainers were assigned treatments: nine were unamended (Ctrl), nine were amended with 5 nM FeCl2 (Fe), and nine were amended with 200 nM desferrioxamine B (DFB), a strong iron chelator. Three cubitainers from each treatment were harvested for each of the three subsequent timepoints: 48 hours (T1), 168 hours (T2), and 264 hours (T3) after incubation. This dataset provides metadata for each sample (sample ID, datetime, etc.) as well as measurements for the following physiological parameters: dissolved nutrients, size-fractionated chlorophyll a, nitrate and carbon isotope uptake rates, flow cytometry, FlowCam imaging, and mixotroph grazing experiments. These measurements provide vital information on phytoplankton communities in the CCS in response to variable iron regimes, which provides context for metatranscriptomics studies conducted on the same samples, with the overarching goal to understand trophic mode preference under micronutrient limitation.\n\ncdm_data_type = Other\nVARIABLES:\nSample_ID (unitless)\nQ_Number (unitless)\nTimepoint (unitless)\nTreatment (unitless)\nReplicate (unitless)\nTimepoint_Hours (hours)\ntime (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\nNitrate (micromolar (uM))\nPhosphate (micromolar (uM))\nSilicic_Acid (micromolar (uM))\nChla_Large (micrograms per liter (ug/L))\n... (29 more variables)\n BCO-DMO bcodmo_dataset_994607_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_964167_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_964167_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_964167_v1/ public [Physiological measurements from sea anemones exposed to normoxic or hypoxic conditions] - Physiological measurements from sea anemones exposed to normoxic or hypoxic conditions from lab experiments performed in Philadelphia, PA, USA in 2024 (CAREER: Helping or hindering? Determining the influence of repetitive marine heatwaves on acclimatization of reef-building corals across biological scales) This dataset contains data from physiological measurements of a lab population of Nematostella vectensis sea anemones exposed to normoxic (i.e., control) or hypoxic conditions. Metrics measured pertain to adult metabolic performance (e.g., dry weights, aerboic respiraton rates) and reproductive physiology (e.g., fecundity, egg sizes, sperm mitochondrial membrane potential). Measurements were also made in larvae produced from experimental adults, including larval respiration and development rates.\n\ncdm_data_type = Other\nVARIABLES:\nSample_name (unitless)\nSample_ID (unitless)\nTreatment (unitless)\nGroup (unitless)\nSex (unitless)\nAverage_dry_weight (grams)\nAverage_respiration (umol O2 consumed per minute per g of dry weight)\nAverage_eggs_dry_weight (egg release per mg of adult animal dry weight)\nAverage_egg_volume (um3)\nDevelopment_success_percent (percent)\nAverage_relative_fitness (unitless)\nAverage_sperm_M_dry_weight (million (M) of sperm cells released per mg of adult animal dry weight)\nAverage_sperm_M_respiration (nmol O2 consumed per minute per million (M) sperm cells)\nAverage_sperm_red_green_ratio (unitless)\nSpawned_percent (percent)\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_964167_v1/index.htmlTable https://osprey.bco-dmo.org/dataset/964167 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_964167_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_964167_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_964167_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_904962_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_904962_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_904962_v1/ public [Physiology of Montipora capitata and Porites compressa in response to marine heatwaves] - Physiology of Montipora capitata and Porites compressa from October 2019 to September 2022 in response to marine heatwaves (2015 and 2019) in Hawaiʻi (RAPID: Collaborative Research: Disentangling the effects of heat stress versus bleaching phenotype on coral performance) Increasingly frequent marine heatwaves are devastating coral reefs. Corals that survive these extreme events must rapidly recover if they are to withstand subsequent events, and long-term survival in the face of rising ocean temperatures may hinge on recovery capacity and acclimatory gains in heat tolerance over an individual's lifespan. To better understand coral recovery trajectories in the face of successive marine heatwaves, we monitored the responses of bleaching-susceptible and bleaching-resistant individuals of two dominant coral species in Hawaiʻi, Montipora capitata and Porites compressa, over a decade that included three marine heatwaves. This dataset includes all of the physiological data for both species from October 2019 to September 2022.\n\ncdm_data_type = Other\nVARIABLES:\nCoral_ID (unitless)\nSpecies (unitless)\nBleach (unitless)\nDate (unitless)\nPeriod (unitless)\nMonths (unitless)\nProtein (micrograms per centimeter squared  (mg cm-2))\nSym_density (10^-6 cells per centimeter squared (10-6 cells cm-2))\nChl (micrograms per centimeter squared (ug cm-2))\nCaCO3 (grams ler milliliter (g mL-1))\ninternal_volume_percent (percent (%))\nTAC_CRE (uM copper reducing equivalents (CRE) mg protein-1)\nug_Chl_a_per_zoox (micrograms per cell (ug cell-1))\npg_Chl_a_per_zoox (picograms per cell (ug cell-1))\nCitrate_synthase (citrate synthase mg protein-1)\nAFDW (milligrams per centimeter squared (mg cm-2))\nEndolithic (unitless)\nPPO (change in absorbance minute-1 mg protein-1)\nMelanin_per_tissue (unitless)\n... (4 more variables)\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_904962_v1/index.htmlTable https://www.bco-dmo.org/dataset/904962 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_904962_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_904962_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_904962_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_932220_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_932220_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_932220_v1/ public [Physiology responses of coastal and oceanic Synechococcus to iron warming interactions] - Physiology responses to experimental iron warming interactions of coastal and oceanic Synechococcus collected from the South China Sea (Collaborative Research: Evolutionary, biochemical and biogeochemical responses of marine cyanobacteria to warming and iron limitation interactions) The unicellular cyanobacterium Synechococcus is one of the most important primary producers in the ocean, and its growth and distribution are regionally limited by iron (Fe) concentration and temperature. However, the potential interactions between Fe availability and ocean warming in Synechococcus remain largely unexplored. We cultivated coastal (XM24) and oceanic (YX04-1) Synechococcus isolates from South China Sea under a matrix of two Fe concentrations (2 nM, 250 nM) and temperatures (24°C, 27°C) to investigate their physiological and transcriptomic responses. This dataset includes the sample identifier, strain information, iron and temperature treatment information, normalized iron quotas, carbon fixation rates, particulate organic nitrogen, and particulate organic carbon measurements. This experiment was performed at the University of Southern California in Dr. David Hutchins's lab from July to December of 2020.\n\ncdm_data_type = Other\nVARIABLES:\nSample_ID (unitless)\nStrain (unitless)\nTemperature (degrees Celsius)\nFe_concentration (nM)\nFe_C (nmol/umol)\nC_fixation (h⁻¹)\nPON (pmol N cell⁻¹)\nFe_P (mmol/mol)\nPOC (pmol C cell⁻¹)\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_932220_v1/index.htmlTable https://osprey.bco-dmo.org/dataset/932220 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_932220_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_932220_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_932220_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_984885_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_984885_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_984885_v1/ public [Phytoplankton Cell Abundance] - Phytoplankton abundance in seawater samples collected from Project \"DaVINCi\" incubations in the Gulf of Naples, Italy from April to May 2022 (Shunt or shuttle? Nutrient-driven biogeochemical consequences of diatom host-virus interactions) Phytoplankton abundance was measured on Lugol's-fixed seawater samples collected from nutrient amendment experiments conducted on surface water collected at the Long-Term Ecological Monitoring Station, MareChiara, in the Gulf of Naples, Italy, between April 20 and May 19, 2022. Phytoplankton were counted on an inverted microscope following Utermhöl settling. These incubations were part of a field study on \"Diatom Virus Infection of Natural Communities\" (DaVINCi) and were aimed at understanding the role of silicon limitation in driving diatom viral infection.\n\ncdm_data_type = Other\nVARIABLES:\nDate (unitless)\nIncubation (unitless)\nBag (unitless)\nIncubation_Timepoint_d (day)\nTreatment (unitless)\nReplicate (unitless)\nDiatoms (cells per liter (cells/L))\nDinoflagellates (cells per liter (cells/L))\nCoccolithophores (cells per liter (cells/L))\nOther_flagellates (cells per liter (cells/L))\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_984885_v1/index.htmlTable https://osprey.bco-dmo.org/dataset/984885 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_984885_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_984885_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_984885_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_953007_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_953007_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_953007_v1/ public [Phytoplankton dilution experiments] - Division rates, grazing rates, and accumulation rates from phytoplankton dilution experiments conducted on cruises aboard the R/V Robert Gordon Sproul along the Southern California coast during July and August 2023 (Postdoctoral Fellowship: OCE-PRF: Smoke on the water: the impacts of wildfire ash deposition on surface ocean biology) These data include division rates, grazing rates, and accumulation rates from dilution experiments conducted on cruises aboard the R/V Robert Gordon Sproul (SP2319, SP2320) between dates 2023-07-28 and 2023-08-19 along the Southern California coast. Dilution experiments were used to assess phytoplankton growth and microzooplankton grazing rates.\n\nDeposition of wildfire ash on the ocean can fertilize microbial production but also has the potential to inhibit microbial growth due to heavy metal toxicity. The data collected from these field experiments can contribute to elevating understanding of wildfire-driven material transfer from the terrestrial system to the ocean and its impact on carbon and energy flow in marine food webs. These data were collected by Dr. Nicholas Baetge, Dr. Jason Graff, Dr. Allen Milligan, Brian Ver Wey, and Parker Hansen of Oregon State University.\n\ncdm_data_type = Other\nVARIABLES:\nstn (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\ntime (Dt, seconds since 1970-01-01T00:00:00Z)\ntrt (unitless)\nphyto (unitless)\ndivision (per day (1/d))\nsd_division (per day (1/d))\ngrazing (per day (1/d))\nsd_grazing (per day (1/d))\naccumulation (per day (1/d))\nsd_accumulation (per day (1/d))\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_953007_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_953007_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_953007_v1/index.htmlTable https://www.bco-dmo.org/dataset/953007 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_953007_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_953007_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_953007_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_996646_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_996646_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_996646_v1/ public [Phytoplankton in carbonate sands column experiment] - Time series of phytoplankton cells released from carbonate sands column experiment in Marathon, FL Keys in Jul and Aug 2025 (Chromatographic separation and degradation of dissolved and particulate organic matter in permeable shelf sediment) In coastal environments with sandy seafloor, water is pushed through the surface layers of the permeable sediment by currents and wave orbital motion. The water penetrating the sands carries particles that may be slowed or trapped in the sediment matrix. The Phytoplankton in carbonate sands column experiment investigated the transport and separation of phytoplankton algae through sand columns. Carbonate sands of two grain sizes common in coastal and shelf environments were tested. Water with a natural phytoplankton community dominated by green algae (~5-10 µm diameter) and cyanobacteria (~2-5 µm) was pumped through the sands. Time series of phytoplankton cells released from the columns were analyzed using flow cytometry. The dataset presents the data produced by the flow cytometer. \n\nAnother experiment was conducted to find the cytometer results for  silicate sands of the same grain sizes that were treated with the same phytoplankton. See the Related Datasets section for this data.\n\ncdm_data_type = Other\nVARIABLES:\ngrain_size_lower_bound (unitless)\nfraction_number (unitless)\nEvent (unitless)\ntime_elapsed (Time, unitless)\nFSC_H (cell size)\nFSC_A (cell size)\nSSC_H (cell size)\nSSC_A (cell size)\nFITC_H (cell size)\nFITC_A (cell size)\nPE_H (cell size)\nPE_A (cell size)\nAPC_H (cell size)\nAPC_A (cell size)\nAPC_A750_H (cell size)\nAPC_A750_A (cell size)\nFSC_Width (cell size)\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_996646_v1/index.htmlTable https://osprey.bco-dmo.org/dataset/996646 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_996646_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_996646_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_996646_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_997486_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_997486_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_997486_v1/ public [Phytoplankton in silicate sands] - Time series of phytoplankton cells released from silicate sands column experiment in Pensacola Beach, FL Keys in Jun and Jul 2025 (Chromatographic separation and degradation of dissolved and particulate organic matter in permeable shelf sediment) In coastal environments with sandy seafloor, water is pushed through the surface layers of the permeable sediment by currents and wave orbital motion. The water penetrating the sands carries particles that may be slowed or trapped in the sediment matrix. The Phytoplankton in silicate sands column experiment investigated the transport and separation of phytoplankton algae through sand columns. Silicate sands of two grain sizes common in coastal and shelf environments were tested. Water with a natural phytoplankton community dominated by green algae (~5-10 µm diameter) and cyanobacteria (~2-5 µm) was pumped through the sands. Time series of phytoplankton cells released from the columns were analyzed using flow cytometry. The dataset presents the data produced by the flow cytometer. \n\nAnother experiment was conducted to find the cytometer results for carbonate sands of the same grain sizes that were treated with the same phytoplankton. See the Related Datasets section for this data.\n\ncdm_data_type = Other\nVARIABLES:\ngrain_size_lower_bound (unitless)\nfraction_number (unitless)\nEvent (unitless)\ntime_elapsed (Time, unitless)\nFSC_H (cell size)\nFSC_A (cell size)\nSSC_H (cell size)\nSSC_A (cell size)\nFITC_H (cell size)\nFITC_A (cell size)\nPE_H (cell size)\nPE_A (cell size)\nAPC_H (cell size)\nAPC_A (cell size)\nAPC_A750_H (cell size)\nAPC_A750_A (cell size)\nFSC_Width (cell size)\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_997486_v1/index.htmlTable https://osprey.bco-dmo.org/dataset/997486 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_997486_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_997486_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_997486_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_651890_v2 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_651890_v2.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_651890_v2/ public [Pico- and nanoplankton abundance: FCM: EN532 and EN538] - Pico- and Nanoplankton concentrations from CTD cast deployments collected from the R/V Endeavor (EN532, EN538) cruises in the subarctic Atlantic Ocean from 2013-2014 (Functional diversity of marine eukaryotic phytoplankton and their contributions to the C and N cycling) This dataset includes pico- and nanoplankton concentrations from CTD cast deployments collected from the R/V Endeavor (EN532, EN538) cruises in the subarctic Atlantic Ocean from 2013-2014.\n\ncdm_data_type = Other\nVARIABLES:\ncruise_id (unitless)\ncast (unitless)\ntime (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\nlatitude (degrees_north)\nlongitude (degrees_east)\nlon_360 (decimal degrees)\ndepth_w (meters)\ndepth (m)\nSyn_biomass_nMC (nanomoles Carbon per liter (nmol C/liter))\nSyn_cells_per_ml (cells/milliliter)\nSyn_cells_per_ml_flag (unitless)\npicoEuk_biomass_nMC (nanomoles Carbon per liter (nmol C/liter))\npicoEuk_cells_per_ml (cells/milliliter)\npicoEuk_cells_per_ml_flag (unitless)\nPE_Euk_biomass_nMC (nanomoles Carbon per liter (nmol C/liter))\nPE_Euk_cells_per_ml (cells/milliliter)\nPE_Euk_cells_per_ml_flag (unitless)\ntotnanoEuk_biomass_nMC (nanomoles Carbon per liter (nmol C/liter))\ntotnanoEuk_cells_per_ml (cells/milliliter)\ntotnanoEuk_cells_per_ml_flag (unitless)\ncocco_biomass_nMC (nanomoles Carbon per liter (nmol C/liter))\ncocco_cells_per_ml (cells/milliliter)\ncocco_cells_per_ml_flag (unitless)\nProchlor_biomass_nMC (nanomoles Carbon per liter (nmol C/liter))\nProchlor_cells_per_ml (cells/milliliter)\nProchlor_cells_per_ml_flag (unitless)\n... (6 more variables)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_651890_v2_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_651890_v2_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_651890_v2/index.htmlTable https://www.bco-dmo.org/dataset/651890 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_651890_v2.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_651890_v2&showErrors=false&email= BCO-DMO bcodmo_dataset_651890_v2
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_913181_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_913181_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_913181_v1/ public [Picocyanobacteria and picoeukaryote growth under different HOOH concentrations] - Picocyanobacteria (Prochlorococcus or Synechococcus) and picoeukaryote (Micromonas and Ostreococcus) cell concentrations and hydrogen peroxide (HOOH) concentrations during batch culture at the University of Tennessee, Knoxville (Characterizing the effects of exogenous reactive oxygen species on marine microbial ecosystem dynamics) These data include picocyanobacteria (Prochlorococcus or Synechococcus) and picoeukaryote (Micromonas and Ostreococcus) cell concentrations and hydrogen peroxide (HOOH) concentrations during batch culture.  Cultures were either amended with ~400 nanomolar (nM) HOOH on day 0 or left unamended, and cell counts and HOOH concentrations were quantified over several days of incubation. The ability of Synechococcus and picoeukaryotes to protect Prochlorococcus from HOOH was addressed and compared to the protection conferred by the 'helper' heterotroph Alteromonas macleodii EZ55.\n\ncdm_data_type = Other\nVARIABLES:\nExperiment (unitless)\nStrain_1 (unitless)\nStrain_2 (unitless)\nHOOH_amend (nanomolar (nM))\ntime_elapsed (Time, days)\nstrain_1_rep_1 (cells per milliliter (cells/mL))\nstrain_1_rep_2 (cells per milliliter (cells/mL))\nstrain_1_rep_3 (cells per milliliter (cells/mL))\nstrain_1_rep_4 (cells per milliliter (cells/mL))\nstrain_2_rep_1 (cells per milliliter (cells/mL))\nstrain_2_rep_2 (cells per milliliter (cells/mL))\nstrain_2_rep_3 (cells per milliliter (cells/mL))\nstrain_2_rep_4 (cells per milliliter (cells/mL))\nave_HOOH (nanomolar (nM))\nSD_HOOH (nanomolar (nM))\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_913181_v1/index.htmlTable https://www.bco-dmo.org/dataset/913181 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_913181_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_913181_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_913181_v1
log in [PITs Dataset from Aggregates Cruises] - Measurements of sinking particle types from deployed Particle Interceptor Trap System (PITS) at the Bermuda Atlantic Time-series Study (BATS) site from Jul 2021 to Mar 2023 (Collaborative Research: Zooplankton mediation of particle formation in the Sargasso Sea) These data represent measurements of individual sinking particle types—specifically fecal aggregates, phytodetrital aggregates, euphausiid and other crustacean fecal pellets, and debris—collected from the Bermuda Atlantic Time-series Study (BATS) site. Sampling occurred during six time points: July 2021, November 2021, March 2022, July 2022, November 2022, and March 2023. Particle interceptor traps (PITs) were deployed at depths of 150 m, 200 m, and 300 m, each equipped with three gel-filled collection cups to preserve particle morphology. The collected particles were analyzed to quantify area and biovolume for each particle type, contributing to a better understanding of the composition and flux of sinking material in the mesopelagic zone.\nThe data were collected aboard the R/V Atlantic Explorer through the collaborative efforts of the laboratories of Dr. Susanne Neuer, Dr. Amy Maas, and Dr. Leocadio Blanco-Bercial, affiliated with Arizona State University and the Bermuda Institute of Ocean Sciences. These measurements support research into particle-mediated carbon flux and the biological carbon pump, and are intended for use by scientists studying marine biogeochemistry, particle dynamics, and oceanic carbon cycling.\n\ncdm_data_type = Other\nVARIABLES:\nParticle_ID (unitless)\nStation (unitless)\ntime (Deployment_datetime, seconds since 1970-01-01T00:00:00Z)\nRetreival_Datetime (seconds since 1970-01-01T00:00:00Z)\nlatitude (Deployment_lat, degrees_north)\nlongitude (Deployment_long, degrees_east)\nRetreival_Lat (decimal degrees)\nRetreival_Long (decimal degrees)\nCruise_num (unitless)\ndepth (m)\nParticle_Type (unitless)\nArea (square micrometers (µm²))\nESD (micrometers (µm))\nWidth (micrometers (µm))\nLength (micrometers (µm))\n... (5 more variables)\n BCO-DMO bcodmo_dataset_982170_v1
log in [Planktic foraminifera assemblages MAZ-1E-04] - Planktic foraminifera assemblages in the eastern Pacific during the last deglaciation determined from core MAZ-1E-04 collected on cruise MAZ-I aboard the R/V El Puma in April 2015 (Glacial-Interglacial Changes in Oxygen Minimum Zones Using Deep-Dwelling, Low-Oxygen Planktic Foraminifera) The structure and drivers of oxygen minimum zone (OMZ) evolution in the Eastern Tropical North Pacific (ETNP) are investigated from ~20.7-10 ka using planktic foraminiferal assemblages alongside multiple other proxies from core MAZ-1E-04 (22°54.29'N, 106°54.59'W; 1463 m depth). Understanding how OMZ vertical structure changed during past glacial/interglacial cycles will help elucidate the drivers and patterns of OMZ expansion/contraction on longer timescales. \n\nPlanktic foraminifera assemblage counts from core MAZ-1E-04, collected on cruise MAZ-I aboard the R/V El Puma in April 2015, are used here to explore any composition shifts driven by environmental changes. Universidad Nacional Autónoma de México financed ship time and M. Alejandro Rodríguez Ramírez directed the oceanographic campaign to retrieve the core.\n\ncdm_data_type = Other\nVARIABLES:\nDepth_core (centimeter (cm))\nAge (years before present (ybp))\nPlanktic_sample_split (unitless)\nG_bulloides (unitless)\nG_ruber (unitless)\nT_sacculifer (unitless)\nG_glutinata (unitless)\nN_dutertrei (unitless)\nN_incompta (unitless)\nG_cultrata (unitless)\nG_tumida (unitless)\nG_siphonifera (unitless)\nO_universa (unitless)\nG_scitula (unitless)\nG_rubescens (unitless)\nG_tenellus (unitless)\nN_pachyderma (unitless)\nT_quinqueloba (unitless)\n... (11 more variables)\n BCO-DMO bcodmo_dataset_991444_v1
log in [Plankton size spectra] - Plankton size spectra compiled from projects CCE LTER, HOT, CRD FluZIE, BLOOFINZ-GoM, and SalpPOOP in the California Current Ecosystem, North Pacific subtropical gyre, Costa Rica Dome, Gulf of Mexico, and Southern Ocean subtropical front from 2004-2018 (Collaborative Research: Quantifying trophic roles and food web ecology of salp blooms of the Chatham Rise) This dataset includes compiled plankton size spectra from 5 different projects: California Current Ecosystem Long-Term Ecological Research (CCE LTER) process cruises, Hawaii Ocean Time-series (HOT) cruises, Costa Rica Dome Fluxes Zinc and Iron Experiments (CRD FluZIE), Gulf of Mexico Bluefin Larvae in Oligotrophic Ocean Foodwebs, Investigations of Nutrients to Zooplankton (BLOOFINZ-GoM), and Salp Particle expOrt and Ocean Production (SalpPOOP) spanning 2004 to 2018. Biomass was determined using three different methods: flow cytometry for less than 2-micron cells, epifluorescence microscopy for 2 - 200 um cells, and size-fractionated zooplankton net tows for >200-um organisms.\n\ncdm_data_type = Other\nVARIABLES:\nProject (unitless)\nDeployment (unitless)\nCruise_ID_or_Cycle_ID (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\nDate (unitless)\nSize_Bin_Lower_Limit (microns (um))\nSize_Bin_Upper_Limit (microns (um))\nBiomass (milligrams of carbon per meter cubed (mg/m^3))\n BCO-DMO bcodmo_dataset_924554_v1
log in [Plate Rates Bulk TN362] - Peptidase and glucosidase activities from bulk water incubations from waters taken aboard the R/V Thomas G. Thompson in the Southern Indian Ocean during the research cruise TN362 in November and December, 2018 (A mechanistic microbial underpinning for the size-reactivity continuum of dissolved organic carbon degradation) Marine dissolved organic matter (DOM) is one of the largest actively-cycling reservoirs of organic carbon on the planet, and thus a major component of the global carbon cycle. The existence of a size-reactivity continuum of DOM - observations and measurements showing that HMW (high-molecular-weight) DOM tends to be younger and more reactive than lower MW (molecular-weight) DOM - has been demonstrated in laboratory and field investigations in different parts of the ocean. A mechanistic explanation for the greater reactivity of HMW DOM has been lacking, however. Here we investigated the potential of seawater microbial communities from different water masses to hydrolyze six high-molecular-weight polysaccharides (arabinogalactan, chondroitin sulfate, fucoidan, laminarin, pullulan, and xylan).  \n \nThis dataset includes the measurement of peptidase and glucosidase activities from samples taken from bulk water incubations from various stations and depths aboard the R/V Thomas G. Thompson in the Southern Indian Ocean during the research cruise TN362 in November and December, 2018.\n\ncdm_data_type = Other\nVARIABLES:\ndeployment (unitless)\nStation (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\ndate (unitless)\ndepth_sequence (unitless)\ndepth (Depth_actual, m)\nsample_type (unitless)\nIncubation_temp (degrees Celsius)\nunamended_amended (unitless)\nsubstrate (unitless)\nt1_rate (nmol L-1 hr-1)\nt1_sd (nmol L-1 hr-1)\nt2_rate (nmol L-1 hr-1)\nt2_sd (nmol L-1 hr-1)\n... (15 more variables)\n BCO-DMO bcodmo_dataset_996093_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_894939_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_894939_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_894939_v1/ public [Pleurobrachia bachei morphology and swimming parameters] - Pleurobrachia bachei morphology and swimming parameters from samples collected at the Oregon Institute of Marine Biology, Coos Bay, Charleston, OR, in July 2018 (Collaborative Research: Quantifying the trophic roles of epipelagic ctenophores) This dataset includes morphological and kinematic data affecting swimming performance in free-swimming ctenophores (Pleurobrachia bachei). The data were collected using high-speed videography. Specimens were collected and recorded at the Oregon Institute of Marine Biology (OIMB), Coos Bay, Charleston, Oregon, in July 2018.\n\ncdm_data_type = Other\nVARIABLES:\nLocation (unitless)\nLatitude (degrees_north)\nlongitude (degrees_east)\nDate (unitless)\nSpecimen_ID (unitless)\nBody_length (millimeters (mm))\nCtene_Length (millimeters (mm))\nCtene_Spacing (millimeters (mm))\nCtenes_per_Row (unitless)\nCtene_row_length (millimeters (mm))\nBeat_Frequency (Hertz)\nSwimming_Speed (millimeters per second (mm s-1))\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_894939_v1/index.htmlTable https://www.bco-dmo.org/dataset/894939 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_894939_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_894939_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_894939_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_986833_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_986833_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_986833_v1/ public [Plume particle Fe 1s micro-XANES] - Iron speciation in hydrothermal plume particles determined by synchrotron X-ray absorption spectroscopy of samples collected on R/V Atlantis cruise AT50-15 at the Juan de Fuca Ridge in 2023 (Collaborative Research: Hydrothermal Estuaries: What Sets the Hydrothermal Flux of Fe and Mn to the Oceans?) The goal of this project was to determine the rates and key processes by which hydrothermally sourced iron and manganese are exported to the oceans. The field research was conducted at the Endeavour Segment of the Juan de Fuca Ridge using in situ filtration (AUV Sentry with SUPR sampler) and shipboard filtration (trace metal CTD rosette) for the particulate size class (solids caught by a filter with 0.2 micron pore size). The field work was conducted on R/V Atlantis AT50-15 from August 28th to September 15th, 2023. Iron speciation in filter-bound particles was analyzed by synchrotron fluorescence microprobe and iron 1s X-ray absorption near edge structure (XANES) spectroscopy. These data will be useful for comparison with other datasets concerning trace metals from the Hydrothermal Estuaries project. Sarick Matzen collected the samples in collaboration with John Breier (AUV Sentry and SUPR sampler) and Jessica Fitzsimmons (trace metal CTD rosette) as part of the Hydrothermal Estuaries study led by Chris German. Sarick Matzen and Brandy Toner were responsible for access to the National Synchrotron Light Source (NSLS II) beamline 4-BM (X-ray Fluorescence Microprobe XFM), data collection, and data curation.\n\ncdm_data_type = Other\nVARIABLES:\ncruise_id (unitless)\nSample_code_number (unitless)\nStation_number (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\ndepth (Water_depth_m, m)\nCollection_mode (unitless)\nCSV_file (unitless)\nPRJ_file (unitless)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_986833_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_986833_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_986833_v1/index.htmlTable https://osprey.bco-dmo.org/dataset/986833 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_986833_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_986833_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_986833_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_952988_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_952988_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_952988_v1/ public [PMP counts in sponges and seawater from Panama] - Potential microplastic counts of 6 common Caribbean spong species collected June 21, 2019 in Bocas del Toro, Panama (Collaborative Research: Investigations into microbially mediated ecological diversification in sponges) Microplastics (MP) are now considered ubiquitous across global aquatic environments. The ingestion of MP by fish and other marine vertebrates is well studied, but the ingestion of MP by marine invertebrates is not. Sponges (Phylum Porifera) are particularly understudied when it comes to MP ingestion, even though they are widely distributed across benthic habitats, can process large volumes of seawater, and can retain small particles within their water filtration systems. This study examines the presence of potential MP (PMP) in wild marine sponges and seawater collected in Bocas del Toro, Panamá. Subsurface seawater and tissue from six common Caribbean sponge species was collected in Saigon Bay, a heavily impacted, shallow-water coral reef. Seawater samples were filtered onto glass fiber filters to retain any PMP present and sponge tissue was digested with bleach, heated and filtered. Filters were examined using fluorescence microscopy to quantify PMP. An average of 107 ± 25 PMP L–1 was detected in seawater from Saigon Bay with particles ranging in size between 10 μm and ~3,000 μm. The number of PMP found in sponge tissue ranged between 6 ± 4 and 169 ± 71 PMP g–1 of dry tissue. Most particles found in sponge samples were very small (10–20 μm), but fibers greater than 5,000 μm were detected. Our results indicate that PMP exists within the tissues of the sponges we studied, but future studies should confirm the presence of MP in sponges using chemical analysis. Most importantly, the discrepancy between low levels of PMP in our sponge samples and high levels in the surrounding seawater highlights the potential for sponges to resist and/or egest MP. Finally, we provide a critical evaluation of our methods to improve their use in future MP work with benthic marine organisms.\n\ncdm_data_type = Other\nVARIABLES:\nSample (unitless)\nSpecies (unitless)\nIndividual_number (unitless)\nSubsample_set (unitless)\nEmpty_Mass_g (gram)\nFull_Mass_g (gram)\nDry_Mass_g (gram)\nNumberPMP (number)\nCorrected_Net_NumberPMP (number)\n... (4 more variables)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_952988_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_952988_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_952988_v1/index.htmlTable https://osprey.bco-dmo.org/dataset/952988 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_952988_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_952988_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_952988_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_955389_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_955389_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_955389_v1/ public [PMP size in sponges and seawater from Panama] - Potential microplastic sizes of 6 common Caribbean spong species collected June 21, 2019 in Bocas del Toro, Panama (Collaborative Research: Investigations into microbially mediated ecological diversification in sponges) Microplastics (MP) are now considered ubiquitous across global aquatic environments. The ingestion of MP by fish and other marine vertebrates is well studied, but the ingestion of MP by marine invertebrates is not. Sponges (Phylum Porifera) are particularly understudied when it comes to MP ingestion, even though they are widely distributed across benthic habitats, can process large volumes of seawater, and can retain small particles within their water filtration systems. This study examines the presence of potential MP (PMP) in wild marine sponges and seawater collected in Bocas del Toro, Panamá. Subsurface seawater and tissue from six common Caribbean sponge species was collected in Saigon Bay, a heavily impacted, shallow-water coral reef. Seawater samples were filtered onto glass fiber filters to retain any PMP present and sponge tissue was digested with bleach, heated and filtered. Filters were examined using fluorescence microscopy to quantify PMP. An average of 107 ± 25 PMP L–1 was detected in seawater from Saigon Bay with particles ranging in size between 10 μm and ~3,000 μm. The number of PMP found in sponge tissue ranged between 6 ± 4 and 169 ± 71 PMP g–1 of dry tissue. Most particles found in sponge samples were very small (10–20 μm), but fibers greater than 5,000 μm were detected. Our results indicate that PMP exists within the tissues of the sponges we studied, but future studies should confirm the presence of MP in sponges using chemical analysis. Most importantly, the discrepancy between low levels of PMP in our sponge samples and high levels in the surrounding seawater highlights the potential for sponges to resist and/or egest MP. Finally, we provide a critical evaluation of our methods to improve their use in future MP work with benthic marine organisms.\n\ncdm_data_type = Other\nVARIABLES:\nSample_type (unitless)\nSample_replicate (unitless)\nLength_um (micrometers (um))\nWidth_um (micrometers (um))\nlatitude (Sampling_lat, degrees_north)\nlongitude (Sampling_lon, degrees_east)\nsampling_date (unitless)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_955389_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_955389_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_955389_v1/index.htmlTable https://osprey.bco-dmo.org/dataset/955389 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_955389_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_955389_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_955389_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_997837_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_997837_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_997837_v1/ public [POC from RIPPLE cruises] - Particulate organic carbon data from cruises EN667 in the Gulf of Maine in June 2021, SR2310 along the Oregon Coast in May 2023, and AE2320 in the Sargasso Sea in September 2023 (RIPPLE1, RIPPLE2, and RIPPLE3) (Production and Fate of Fats in the Upper Ocean) This dataset includes particulate organic carbon (POC) data from samples collected on three research cruises in 2021 and 2023. In the Gulf of Maine, samples were collected on R/V Endeavor (cruise EN667) from 13 June to 21 June, 2021. Off the Oregon Coast, samples were on the R/V Sally Ride (cruise SR2310) from 18 May to 25 May, 2023. In the Sargasso Sea, samples were collected on R/V Atlantic Explorer (cruise AE2320) from 5 September to 11 September, 2023. Water was collected by CTD and samples for POC analysis were collected via vacuum filtration onto 0.7 micrometer (um) GF/F filters. The goal of these cruises was to investigate diel carbon cycling in the surface ocean, led by Chief Scientist Ben Van Mooy.\n\ncdm_data_type = Other\nVARIABLES:\nCruise_ID (unitless)\nCruise_Name (unitless)\nlatitude (degrees_north)\nlongitude (Long, degrees_east)\ntime (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\nCast (unitless)\ndepth (m)\nPOC (milligrams per liter (mg/L))\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_997837_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_997837_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_997837_v1/index.htmlTable https://osprey.bco-dmo.org/dataset/997837 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_997837_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_997837_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_997837_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_999317_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_999317_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_999317_v1/ public [Pocillopora Coral Spawning Polynesia 2022 - 2024] - Pocillopora coral spawning times and species identifications in Moorea French Polynesia 2022 - 2024 (Coral reproduction following mass corallivore outbreak and offspring tolerance during El Nino modulates reef recovery) Knowledge of coral gamete release is fundamental to reef ecology and evolution, but cryptic species complicate reproduction studies. In Mo'orea, French Polynesia, when corals were decimated by crown-of-thorns and a cyclone between 2007-2010, recruitment of six cryptic species of Pocillopora spp. primarily drove decadal reef recovery. Broadcast spawning for these genetically-verified species at Mo'orea is, however, undocumented in the scientific literature. We conducted in situ surveys over 58 days during September 2022-January 2023, October 2023-January 2024, and October 2024-December 2024. To identify the Pocillopora spp., we used molecular analysis of mtORF and PocHistone markers. P. meandrina and P. grandis spawned 2-3 days following the full moons of October-December. In contrast, P. verrucosa and P. tuahiniensis spawned at the new moons in November-December, with P. verrucosa spawning on lunar days 0-1, and P. tuahiniensis spawning on lunar days 1-3. Diel offset in the timing of spawning following sunrise was present in both moon phases indicating a temporal speciation barrier. P. verrucosa spawned ~45 minutes after sunrise, whereas P. tuahiniensis spawned ~73 minutes after sunrise. Similarly, P. grandis spawned ~40 minutes after sunrise, whereas P. meandrina spawned ~65 minutes after sunrise. Only one colony of P. effusa spawned (lunar day 3 new moon ~06:30-06:50), requiring further confirmation of the timing for this low abundance species. Collectively, these first spawning reports provide an initial scientific documentation of Pocillopora spawning at the genetically-verified species level in Mo'orea, increasing capacity to study the essential process of coral reproduction for critical reef building species.\n\ncdm_data_type = Other\nVARIABLES:\nSample_ID (unitless)\nDate_spawned (unitless)\nYear (unitless)\nMoon (unitless)\nMonth (unitless)\nDay_before_after_Moon (number of days)\nSpawning_Start_Time (unitless)\nSpawning_End_Time (hour:minute)\nHaplotype (unitless)\n... (4 more variables)\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_999317_v1/index.htmlTable https://osprey.bco-dmo.org/dataset/999317 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_999317_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_999317_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_999317_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_942962_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_942962_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_942962_v1/ public [Pocillopora damicornis skeletal micromorphological analysis: Calyxes] - Micromorphological analyses of Pocillopora damicornis calyxes collected from reef of Heron Island, southern Great Barrier Reef from Jan 2021 to Feb 2021 (Influence of environmental pH variability and thermal sensitivity on the resilience of reef-building corals to acidification stress) Corals residing in habitats that experience frequent seawater pCO2 variability may possess an enhanced capacity to cope with ocean acidification. Yet, we lack a clear understanding of the molecular toolkit enabling acclimatization to environmental extremes, and how life-long exposure to pCO2 variability influences biomineralization. We examined the gene expression responses and micro-skeletal characteristics of Pocillopora damicornis originating from the reef flat and reef slope of Heron Island, southern Great Barrier Reef. The reef flat (454 ± 3.0) and reef slope (418 ± 1.9) had similar mean seawater pCO2 (µatm; mean ± SE), but the reef flat experienced twice the mean daily pCO2 amplitude (range of 797v. 399 µatm day-1, respectively). A controlled mesocosm experiment was conducted over eight weeks, exposing P. damicornis from the reef slope and reef flat to stable (218±9) or variable (911±31) diel pCO2 fluctuations (µatm; mean ± SE).\n\nThis dataset includes the data and analyses for the overall skeletal micromorphological analyses of P. damicornis, including the origin reef environment, treatment, colony ID, feature of interest, image magnification, image name, observer, replicate, corallite diameter, distance between corallites, area, perimeter, and circularity.\n\ncdm_data_type = Other\nVARIABLES:\nOrigin (unitless)\nTreatment (unitless)\nColony_ID (unitless)\nFeature_of_interest (unitless)\nImage_magnification (unitless)\nImage_name (unitless)\nObserver (unitless)\nReplicate (unitless)\ncorallite_diameter (units)\ncorallite_distance (millimeters (mm))\nArea (millimeters (mm))\nPerimeter (micrometers (um))\nCircularity (micrometers (um))\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_942962_v1/index.htmlTable https://osprey.bco-dmo.org/dataset/942962 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_942962_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_942962_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_942962_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_942939_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_942939_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_942939_v1/ public [Pocillopora damicornis skeletal micromorphological analysis: Overall skeleton] - Micromorphological analyses of Pocillopora damicornis overall skeleton collected from reef of Heron Island, southern Great Barrier Reef from Jan 2021 to Feb 2021 (Influence of environmental pH variability and thermal sensitivity on the resilience of reef-building corals to acidification stress) Corals residing in habitats that experience frequent seawater pCO2 variability may possess an enhanced capacity to cope with ocean acidification. Yet, we lack a clear understanding of the molecular toolkit enabling acclimatization to environmental extremes, and how life-long exposure to pCO2 variability influences biomineralization. We examined the gene expression responses and micro-skeletal characteristics of Pocillopora damicornis originating from the reef flat and reef slope of Heron Island, southern Great Barrier Reef. The reef flat (454 ± 3.0) and reef slope (418 ± 1.9) had similar mean seawater pCO2 (µatm; mean ± SE), but the reef flat experienced twice the mean daily pCO2 amplitude (range of 797v. 399  µatm day-1, respectively). A controlled mesocosm experiment was conducted over eight weeks, exposing P. damicornis from the reef slope and reef flat to stable (218±9) or variable (911±31) diel pCO2 fluctuations (µatm; mean ± SE). \n\nThis dataset includes the data and analyses for the overall skeletal micromorphological analyses of P. damicornis, including the origin reef environment, treatment, colony ID, feature of interest, image magnification, image name, observer, replicate, size of image, area of image, number of corallites within image, number of corallites area-1, corallite diameter (mm), and distance between corallites (mm).\n\ncdm_data_type = Other\nVARIABLES:\nOrigin (unitless)\nTreatment (unitless)\nColony_ID (unitless)\nFeature_of_interest (unitless)\nImage_magnification (unitless)\nImage_name (unitless)\nObserver (unitless)\nReplicate (unitless)\nSize (mm)\nArea (mm2)\ncorallite_num (unitless)\ncorallite_density (corallite/mm2)\ncorallite_diameter (mm)\ncorallite_distance (mm)\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_942939_v1/index.htmlTable https://osprey.bco-dmo.org/dataset/942939 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_942939_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_942939_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_942939_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_942955_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_942955_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_942955_v1/ public [Pocillopora damicornis skeletal micromorphological analysis: Spine RADs] - Micromorphological analyses of Pocillopora damicornis Spine RADs on samples collected from reef of Heron Island, southern Great Barrier Reef from Jan 2021 to Feb 2021 (Influence of environmental pH variability and thermal sensitivity on the resilience of reef-building corals to acidification stress) Corals residing in habitats that experience frequent seawater pCO2 variability may possess an enhanced capacity to cope with ocean acidification. Yet, we lack a clear understanding of the molecular toolkit enabling acclimatization to environmental extremes, and how life-long exposure to pCO2 variability influences biomineralization. We examined the gene expression responses and micro-skeletal characteristics of Pocillopora damicornis originating from the reef flat and reef slope of Heron Island, southern Great Barrier Reef. The reef flat (454 ± 3.0) and reef slope (418 ± 1.9) had similar mean seawater pCO2 (µatm; mean ± SE), but the reef flat experienced twice the mean daily pCO2 amplitude (range of 797v. 399  µatm day-1, respectively). A controlled mesocosm experiment was conducted over eight weeks, exposing P. damicornis from the reef slope and reef flat to stable (218±9) or variable (911±31) diel pCO2 fluctuations (µatm; mean ± SE). \n\nThis dataset includes the data and analyses for the overall skeletal micromorphological analyses of P. damicornis, including the origin reef environment, treatment, colony ID, feature of interest, image magnification, image name, observer, replicate, number of RADs, and area of RADs.\n\ncdm_data_type = Other\nVARIABLES:\nOrigin (unitless)\nTreatment (unitless)\nColony_ID (unitless)\nFeature_of_interest (unitless)\nImage_magnification (unitless)\nImage_name (unitless)\nObserver (unitless)\nReplicate (unitless)\nRADs_num (unitless)\nRAD_area (micrometers (um))\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_942955_v1/index.htmlTable https://osprey.bco-dmo.org/dataset/942955 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_942955_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_942955_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_942955_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_942948_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_942948_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_942948_v1/ public [Pocillopora damicornis skeletal micromorphological analysis: Spine structures] - Micromorphological analyses of Pocillopora damicornis spine structures collected from reef of Heron Island, southern Great Barrier Reef from Jan 2021 to Feb 2021 (Influence of environmental pH variability and thermal sensitivity on the resilience of reef-building corals to acidification stress) Corals residing in habitats that experience frequent seawater pCO2 variability may possess an enhanced capacity to cope with ocean acidification. Yet, we lack a clear understanding of the molecular toolkit enabling acclimatization to environmental extremes, and how life-long exposure to pCO2 variability influences biomineralization. We examined the gene expression responses and micro-skeletal characteristics of Pocillopora damicornis originating from the reef flat and reef slope of Heron Island, southern Great Barrier Reef. The reef flat (454 ± 3.0) and reef slope (418 ± 1.9) had similar mean seawater pCO2 (µatm; mean ± SE), but the reef flat experienced twice the mean daily pCO2 amplitude (range of 797v. 399 µatm day-1, respectively). A controlled mesocosm experiment was conducted over eight weeks, exposing P. damicornis from the reef slope and reef flat to stable (218±9) or variable (911±31) diel pCO2 fluctuations (µatm; mean ± SE).\n\nThis dataset includes the data and analyses for the spine structures micromorphological analyses of P. damicornis, including the origin reef environment, treatment, colony ID, feature of interest, image magnification, image name, observer, replicate, spine length, spine width, and number of spines.\n\ncdm_data_type = Other\nVARIABLES:\nOrigin (unitless)\nTreatment (unitless)\nColony_ID (unitless)\nFeature_of_interest (unitless)\nImage_magnification (unitless)\nImage_name (unitless)\nObserver (unitless)\nReplicate (unitless)\nSpine_length_mm (mm)\nSpine_width_mm (mm)\nSpine_length_um (micrometers (um))\nSpine_width_um (micrometers (um))\nNum_spines_within_calyx (unitless)\nSpine_location (unitless)\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_942948_v1/index.htmlTable https://osprey.bco-dmo.org/dataset/942948 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_942948_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_942948_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_942948_v1
log in [Pocillopora species ID from Recharge project] - Differential effects of nutrients and consumer pressure on sympatric cryptic coral species (Pocillopora spp.) in Moorea, French Polynesia sampled in November 2021. (Collaborative research: Coral community resilience: testing the role of hidden diversity in pocilloporid corals at Moorea) Cryptic species (evolutionarily distinct lineages that do not align with morphologically defined species) are being increasingly discovered but are poorly integrated into ecological theory. In particular, we still lack a useful understanding of if and how cryptic species differ in ways that affect community recovery from disturbances and responses to anthropogenic stressors, such as the removal of consumers and pollution from nutrients. \n\nOn coral reefs, nutrient pollution increases the growth of macroalgae that displaces corals. Reductions in herbivorous fishes reduce the suppression of macroalgae, while reductions in coralivorous fishes reduce predation on corals. An unresolved question is if and how cryptic coral species respond differently to these impacts, thereby differing in their ability to influence coral community dynamics and maintain coral dominance. Therefore, we assessed how the response of cryptic Pocillopora species over a period of three years following a simulated disturbance from a cyclone depended on the experimental reduction of fish consumer pressure and nutrient addition. After three years, five morphologically cryptic, but genetically distinct, Pocillopora species recruited to the reef. However, recruitment was dominated by two species: P. tuahiniensis (46%) and P. meandrina (43%). \n\nUnder ambient conditions, recruitment of P. tuahiniensis and P. meandrina was similar, but experimentally reducing consumer pressure increased recruitment of P. tuahiniensis by up to 73% and reduced recruitment of P. meandrina by up to 49%. In both species, nutrient enrichment increased recruitment and colony growth rates equally, but colonies of P. tuahiniensis grew faster, and were up to 25% larger after three years, than those of P. meandrina, and growth was unaffected by reduced consumer pressure. Predation by excavating corallivorous fish was higher for P. meandrina than for P. tuahiniensis, especially under nutrient enrichment. In contrast, polyp extension (an indicator of elevated heterotrophic feeding as well as susceptibility and attractiveness to corallivores) was lower for P. meandrina than for P. tuahiniensis, especially under low to medium consumer pressure. Overall, we uncovered ecological differences in the response of morphologically cryptic foundation species to two pervasive stressors on coral reefs. \n\nOur results demonstrate how cryptic species respond differently to key anthropogenic stressors, which may contribute to response diversity that can support ecological resilience or increase extinction risk.\n\ncdm_data_type = Other\nVARIABLES:\nlatitude (degrees_north)\n... (14 more variables)\n BCO-DMO bcodmo_dataset_964151_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_963382_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_963382_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_963382_v1/ public [Polysaccharide Hydrolase Activities under Varying Hydrostatic Pressures near Helsingor in 2023] - Polysaccharide Hydrolase Activities in Danish Coastal Seawater and Sediments under Varying Hydrostatic Pressures on samples collected in September 2023 (Collaborative Research: Pressure effects on microbially-catalyzed organic matter degradation in the deep ocean) The potential of the seawater or sedimentary microbial community to hydrolyze seven high-molecular-weight polysaccharides (arabinogalactan, chondroitin sulfate, fucoidan, laminarin, mannan, pullulan, and xylan) was investigated in a coastal station off the coast of Helsingor, Denmark. This investigation was part of the larger project to understand pressure effects on enzymatic activity. These samples were collected in September 2023 at a coastal station off the coast of Helsingor, Denmark, at a depth of 20 meters. \n\nThrough our collaboration with the Danish Center for Hadal Research, we were able to use pressurization systems and in situ specialized equipment to investigate the effects of pressures characteristic of bathy- and abyssopelagic depths on microbial communities and their extracellular enzymes in the open North Atlantic Ocean.   \n\nThis dataset contains metadata on sample collection, environmental conditions, sample types and treatments, incubation conditions, substrate types, and kill-corrected enzymatic hydrolysis rates across timepoints.\n\ncdm_data_type = Other\nVARIABLES:\nlatitude (degrees_north)\nlongitude (degrees_east)\ntime (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\ndate (unitless)\ntime_local_CEST (unitless)\ndepth (Depth_actual, m)\nsample_type (unitless)\nin_situ_T (degrees Celsius)\nin_situ_S (psu)\nincubation_T (degrees Celsius)\nunamended_amended (unitless)\npressure (MPa)\nsubstrate (unitless)\n... (8 more variables)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_963382_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_963382_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_963382_v1/index.htmlTable https://osprey.bco-dmo.org/dataset/963382 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_963382_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_963382_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_963382_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_1000862_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_1000862_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_1000862_v1/ public [Polysaccharide hydrolysis rates from Arctic fjord Kongsfjorden April 2018] - Measurement of polysaccharide hydrolysis rates from water samples collected from the Arctic fjord Kongsfjorden near Ny-Ålesund, Svalbard, during April 2018 (A mechanistic microbial underpinning for the size-reactivity continuum of dissolved organic carbon degradation) Marine dissolved organic matter (DOM) is one of the largest actively-cycling reservoirs of organic carbon on the planet, and thus a major component of the global carbon cycle. The existence of a size-reactivity continuum of DOM - observations and measurements showing that high molecular weight (HMW) DOM tends to be younger and more reactive than lower MW DOM - has been demonstrated in laboratory and field investigations in different parts of the ocean. A mechanistic explanation for the greater reactivity of HMW DOM has been lacking, however. Here we investigated the potential of seawater microbial communities from different water masses to hydrolyze six high-molecular-weight polysaccharides: arabinogalactan, chondroitin sulfate, fucoidan, laminarin, pullulan, and xylan.\n\nThis dataset includes measurement of polysaccharide hydrolase activities obtained from seawater incubations. Seawater samples were collected at various stations and depths in Kongsfjorden, an Arctic fjord near Ny-Ålesund, Svalbard, in April 2018.\n\ncdm_data_type = Other\nVARIABLES:\ndeployment (unitless)\nStation (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\ndate (unitless)\ndepth_sequence (unitless)\ndepth (Depth_actual, m)\nin_situ_Temp (degrees Celsius (°C))\nin_situ_Sal (ppt)\nin_situ_chl (Fluorescence units)\nsample_type (unitless)\nIncubation_temp (degrees Celsius (°C))\nunamended_amended (unitless)\nSub_sample_day (Days)\nsubstrate (unitless)\nrate_1 (nanomoles per liter per hour (nmol L-1 hr-1))\n... (4 more variables)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_1000862_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_1000862_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_1000862_v1/index.htmlTable https://osprey.bco-dmo.org/dataset/1000862 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_1000862_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_1000862_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_1000862_v1
log in [Polysaccharide Hydrolysis Rates TN362] - Polysaccharide hydrolysis rates from bulk water incubations from waters taken aboard the R/V Thomas G. Thompson in the Southern Indian Ocean during the research cruise TN362 from November and December, 2018 (A mechanistic microbial underpinning for the size-reactivity continuum of dissolved organic carbon degradation) Marine dissolved organic matter (DOM) is one of the largest actively-cycling reservoirs of organic carbon on the planet, and thus a major component of the global carbon cycle. The existence of a size-reactivity continuum of DOM - observations and measurements showing that HMW (high-molecular-weight) DOM tends to be younger and more reactive than lower MW (molecular-weight) DOM - has been demonstrated in laboratory and field investigations in different parts of the ocean. A mechanistic explanation for the greater reactivity of HMW DOM has been lacking, however. Here we investigated the potential of seawater microbial communities from different water masses to hydrolyze six high-molecular-weight polysaccharides (arabinogalactan, chondroitin sulfate, fucoidan, laminarin, pullulan, and xylan).  \n \nThis dataset includes the measurement of polysaccharide hydrolase activities from samples taken from bulk water incubations from various stations and depths aboard the R/V Thomas G. Thompson in the Southern Indian Ocean during the research cruise TN362 in November and December, 2018.\n\ncdm_data_type = Other\nVARIABLES:\ndeployment (unitless)\nStation (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\ndate (unitless)\ndepth_sequence (unitless)\ndepth (Depth_actual, m)\nsample_type (unitless)\nIncubation_temp (degrees Celsius)\nunamended_amended (unitless)\nSub_sample_day (days)\nsubstrate (unitless)\nrate_x_nM_hr (nmol L-1 hr-1)\nrate_1_nM_hr (nmol L-1 hr-1)\nrate_2_nM_hr (nmol L-1 hr-1)\n... (9 more variables)\n BCO-DMO bcodmo_dataset_996032_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_998990_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_998990_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_998990_v1/ public [Population genomics datasets of invasive and native populations of a red seaweed] - Red seaweed Gracilaria vermiculophylla population genomics (SNP genotype likelihoods) from collections of populations in Asia North America and Europe in 2014 and 2015 (Detecting genetic adaptation during marine invasions) We describe the relative influence of bottlenecks, clonality, and population expansion in determining genomic variability of the widespread red macroalga Gracilaria vermiculophylla. Its introduction from mainland Japan to the estuaries of North America and Europe coincided with shifts from predominantly sexual to partially clonal reproduction and rapid adaptive evolution. We surveyed 62,285 single nucleotide polymorphisms (SNPs) for 351 individuals from 35 populations, aligned to 24 chromosome-length scaffolds that we publish for the first time. \n\nThis dataset includes metadata, methods, links to published code and processed data used to generate figures for the results publication Flanagan et al. (2021,doi:10.1111/mec.15854) titled \"Founder effects shape linkage disequilibrium and genomic diversity of a partially clonal invader.\" This dataset also includes genetic accession identifiers for sequence data contributed to the National Center for Biotechnology Information (NCBI)'s Sequence Read Archive (SRA) and Genbank databases, available under BioProject PRJNA700770.\n\ncdm_data_type = Other\nVARIABLES:\nSample_Name (unitless)\nSiteName_short (unitless)\nRun (unitless)\nBioProject (unitless)\nBioSample (unitless)\nCollection_Date (Year)\nSiteName_long (unitless)\ngeo_loc_name_country (unitless)\ngeo_loc_name_country_continent (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_998990_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_998990_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_998990_v1/index.htmlTable https://osprey.bco-dmo.org/dataset/998990 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_998990_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_998990_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_998990_v1
log in [Porewater DOM isotopic values] - Carbon isotope values of porewater DOM in California margin sediments from 2019 (OC1906A) and 2020 (Sikuliaq) (Collaborative Research: Peptide Deamination as a Source of Refractory Dissolved Organic Matter in Marine Sediments) Carbon isotopic values (radiocarbon and 13C) are reported for dissolved and particulate carbon collected from the sediments retrieved from Santa Barbara Basin (SBB), Catalina Basin (CAT), Station D (StaD), and Station K (StaK). SBB and CAT, located in the California Borderland, were sampled in June 2019 onboard the R/V Oceanus. StaD and StaK, located in the upper slope offshore central California, were sampled in Dec 2020 onboard the R/V Sikuliaq. The isotope dataset includes radiocarbon and 13C values of: porewater dissolved organic carbon (DOC), porewater dissolved inorganic carbon (DIC), sediment particulate organic carbon (POC), sediment particulate total carbon, sediment particulate total nitrogen, bottom water DOC, bottom water DIC. Sediment samples were retrieved using multi-cores and gravity cores operated by the Oregon State University Marine Rock and Sediment Sampling Group. Porewater samples were extracted from the sediment within hours of core retrieval in a refrigerated van.\n\ncdm_data_type = Other\nVARIABLES:\nSta (unitless)\nCruise (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\nDate (seconds since 1970-01-01T00:00:00Z)\nCore_ID (unitless)\nDepth (cm)\nDepth_err (cm)\nOx_method (unitless)\nDOC_UCID_no (unitless)\nDOC_SFSU_no (unitless)\nDOC_wt (grams)\nDOC_vol (mL)\nYield (micro-g of carbon)\nDOC_14C (per mille)\nDOC_14C_err (per mille)\nDOC_Fm (unitless)\n... (20 more variables)\n BCO-DMO bcodmo_dataset_964215_v1
log in [Porewater DOM NMR spectra] - 1H NMR spectra of whole porewater DOM in California margin sediments from 2020 (Sikuliaq) (Collaborative Research: Peptide Deamination as a Source of Refractory Dissolved Organic Matter in Marine Sediments) 1H NMR spectra of whole dissolved organic matter (DOM) samples are reported for StaD and StaK, located in the upper slope offshore central California. Sediment and porewater sampling were done in Dec 2020 onboard the R/V Sikuliaq. Sediment samples were retrieved using multi-cores and gravity cores operated by the Oregon State University Marine Rock and Sediment Sampling Group. Porewater samples were extracted from the sediment within hours of core retrieval in a refrigerated van. Rhizon samplers were used to collect porewater from multicores, whereas centrifugation was used for porewater collection from gravity cores. Upon collection, porewater samples were immediately poisoned with mercuric chloride and flame-sealed in glass ampules under a stream of ultra-high-purity nitrogen gas and refrigerated until analysis. Reported here are 1H NMR spectra of whole DOM samples, UV-irradiated deionized water blanks collected on the ship, and UV-irradiated deionized water pulled through Rhizon samplers (all 0.2-micron filtered).\n\ncdm_data_type = Other\nVARIABLES:\nstation (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\nsampling_date (unitless)\nsample_type (unitless)\ncore_type (unitless)\nsample_ID (unitless)\nsediment_depth (centimeters (cm))\nchemical_shift (parts per million (ppm))\nnmr_value (unitless)\n BCO-DMO bcodmo_dataset_964221_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_1005742_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_1005742_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_1005742_v1/ public [Porewater geochemical data from mainstem Chesapeake Bay in July 2022] - Porewater geochemical data from sediment cores collected at methane seeps and reference sites in mainstem Chesapeake Bay in July 2022 (Collaborative Research: Investigating the source and flux of dissolved organic carbon released from methane seeps to the deep-ocean) These data include vertical profiles of concentrations and stable carbon isotope values of methane, carbon dioxide, dissolved organic carbon (DOC), dissolved inorganic carbon (DIC), and total organic carbon (TOC) from porewater of sediment cores collected at methane seeps and reference sites. Sediment porosity and dissolved sulfate and chloride concentrations are also presented. Gravity cores (1 meter) were collected from the mainstem of Chesapeake Bay from July 25-29, 2022. These data are used to assess the distribution, source, and fate of methane in a eutrophic shallow-water estuary, which is a source of methane to the atmosphere. These data can be used to understand the processes driving methane release and constrain estuarine methane emissions. The sediment data are reported in a separate, related dataset.\n\ncdm_data_type = Other\nVARIABLES:\nSample_ID (unitless)\nSite_Name (unitless)\nStation_ID (unitless)\nlatitude (Latitude_ddeg, degrees_north)\nlongitude (Longitude_ddeg, degrees_east)\nSampling_Date (unitless)\nWater_Depth_m (meters (m))\nCore_Allocation (unitless)\nSediment_Depth_cmbsf (centimeters below sea floor (cmbsf))\nSediment_interval_thickness_cm (centimeters (cm))\nSulfate_mM (millimolar (mM))\nChloride_mM (millimolar (mM))\nDIC_mM (millimolar (mM))\nd13C_DIC_permille (per mille (‰))\nPorosity (unitless)\nCH4_uM (micromolar (uM))\nd13C_CH4_permille (per mille (‰))\nd13C_CH4_1sigma (per mille (‰))\nCO2_mM (millimolar (mM))\n... (5 more variables)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_1005742_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_1005742_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_1005742_v1/index.htmlTable https://osprey.bco-dmo.org/dataset/1005742 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_1005742_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_1005742_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_1005742_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_992752_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_992752_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_992752_v1/ public [Porewater geochemistry] - Porewater geochemistry data from sediment cores collected on R/V Rachel Carson cruise RC0107 in Clayoquot Sound, Vancouver Island, British Columbia during October 2023 (CAREER: Cryptic sulfur cycling and organic matter preservation in marine oxygen deficient zones) This dataset includes porewater geochemistry data for samples collected on the R/V Rachel Carson cruise RC0107 between October 2nd and 8th, 2023 in Clayoquot Sound, Vancouver Island, British Columbia. Sediment cores were collected at three sites in Clayoquot Sound.\n\nData reported here include: porewater chemistry (sulfate, sulfide, Fe(II), pH). These data will be useful for those interested in understanding organic matter preservation in fjords and other coastal environments. Samples were collected by Molly Crotteau, Morgan Raven, Aaron Martinez, Natalya Evans, Marianna Karagiannis, Jordan Fisburn, and Jaqui Neibauer. Data were interpreted by Morgan Raven and Molly Crotteau.\n\ncdm_data_type = Other\nVARIABLES:\nsite (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\ndate (unitless)\ncore (unitless)\ndepth_bsf (Depth, m)\nH2S (millimolar)\nH2S_e (millimolar)\nSO4 (millimolar)\nSO4_e (millimolar)\nFe (micromolar)\nFe_e (micromolar)\npH (micromolar)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_992752_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_992752_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_992752_v1/index.htmlTable https://osprey.bco-dmo.org/dataset/992752 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_992752_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_992752_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_992752_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_997475_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_997475_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_997475_v1/ public [Porites PLD experiment] - Results of a lab experiment to determine the range of pelagic larval duration in massive Porites larvae in Palau in 2023 (Collaborative Research: How do selection, plasticity, and dispersal interact to determine coral success in warmer and more variable environments?) The period of time that larvae spend in the water column, the pelagic larval duration (PLD), has a profound impact on dispersal distance. Characterizing variations in PLD across a population is critical for refined estimates of dispersal, yet this work is rarely done. We conducted an experiment to characterize the PLD of massive Porites larvae in April 2023. Adult massive Porites corals were collected from six sites in Palau immediately prior to their spawning, around the full moon. Collected corals were held in individual plastic containers in ambient unfiltered flow-through seawater tanks at the Palau International Coral Reef Center (PICRC).  Larvae from two bulk crosses were pooled for this experiment. Each cross included sperm from 3 males and eggs from one female . Three-dpf larvae (n=20 individuals) were added to clear plastic culture dishes (~200 mL) with ambient seawater (ASW) at three different filtrations: unfiltered, 5 μm filtered, or 0.5 μm filtered (n=10 per treatment). No additional settlement cues were provided. Culture dishes were maintained in flow-through ASW tanks at PICRC, and ~80% water changes were conducted every 2 days. Temperature and light experienced by larvae during the experiment were recorded using Hobo pendant loggers in an identical culture dish in the same seawater tank. Immediately prior to water changes, all larvae and settlers in each culture dish were counted. Settlement was defined as a larva attaching itself to the bottom of the dish, remaining attached after mechanical disturbance (i.e., gently shaking the dish), and visually beginning to undergo metamorphosis.\n\ncdm_data_type = Other\nVARIABLES:\nDate (unitless)\nDay (unitless)\nTreatment (unitless)\nRep (unitless)\nAtt_cum (unitless)\nAtt_perc (unitless)\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_997475_v1/index.htmlTable https://osprey.bco-dmo.org/dataset/997475 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_997475_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_997475_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_997475_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_997511_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_997511_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_997511_v1/ public [Porites post-settlement experiment] - Results of an experiment on post-settlement survival for Porites corals in Palau (Collaborative Research: How do selection, plasticity, and dispersal interact to determine coral success in warmer and more variable environments?) The early life-history stages of marine invertebrates, including corals, are subject to high mortality. Numerous environmental and biological factors serve as bottlenecks, restricting recruitment and connectivity of populations. We conducted a lab experiment to determine the influence of temperature and light on post-settlement mortality of massive Porites corals in April 2023. Adult massive Porites corals were collected from six sites in Palau immediately prior to their spawning season. Collected corals were held in individual plastic containers (4.2 L; 17 x 13 x 19 cm) in ambient unfiltered flow-through seawater tanks at the Palau International Coral Reef Center (PICRC). Three days post fertilization, larvae were settled on glass microscope slides with crushed crustose coralline algae used as a settlement cue.  Slides were randomly distributed among two temperature treatments (30° C, 33° C) and two light levels (ambient, high) in a 2-way crossed design. Immediately after settlement and every two days throughout the experiment, slides were photographed individually using a Nikon D850 camera with a macro lens. Living settlers were counted in each image to track settler survival over time. Temperature and light level in each treatment were logged using Hobo pendants (Onset, Wareham, USA).\n\ncdm_data_type = Other\nVARIABLES:\nT (unitless)\nDays (unitless)\nDM (unitless)\nTemperature (degrees Celsius (°C))\nLight (unitless)\nAbbrev (unitless)\nSlide (unitless)\nSurvival (unitless)\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_997511_v1/index.htmlTable https://osprey.bco-dmo.org/dataset/997511 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_997511_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_997511_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_997511_v1
log in [Port Fourchon twenty year landscape analysis] - Black mangrove habitat change analysis in Port Fourchon, LA from 2002, 2014, and 2022. (CAREER: Integrating Seascapes and Energy Flow: learning and teaching about energy, biodiversity, and ecosystem function on the frontlines of climate change) This data set contains the analysis of habit change in Port Fourchon, LA from 2002, 2014, and 2022. The analysis uses LandSat9 data to determine the change in black mangrove cover across the three time points.\n\ncdm_data_type = Other\nVARIABLES:\nYear (unitless)\nClass_number (unitless)\nClass_name (unitless)\narea_hectares (hectare)\nPercent_Cover (percentage (%))\nPercent_of_total_land (percentage (%))\nTotal_Land_ha (hectare)\n BCO-DMO bcodmo_dataset_941477_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_941490_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_941490_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_941490_v1/ public [Port Fourchon, LA twenty year temperature analysis] - Data and code from an analysis of twenty years of winter minimum temperature data near Port Fourchon, LA from 2002 to 2022 (CAREER: Integrating Seascapes and Energy Flow: learning and teaching about energy, biodiversity, and ecosystem function on the frontlines of climate change) This dataset analyzes twenty years of winter minimum temperature data from the Louisiana Coast Wide Reference Monitoring Systems database using 11 stations of data closest to the sampling locations for the primary project.  We downloaded monthly averaged data from 2002 to 2022 from each site and used these values to calculate our minimum temperature data. This dataset was published in Leavitt et al. (2024; pre-print DOI 10.22541/au.173090741.17018561/v1).\n\ncdm_data_type = Other\nVARIABLES:\nStation_id (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\nmonth (unitless)\nyear (unitless)\navg_temperature (degrees Celsius)\nstd_deviation_water_temperature (degrees Celsius)\nmin_temperature (degrees Celsius)\nmax_temperature (degrees Celsius)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_941490_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_941490_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_941490_v1/index.htmlTable https://osprey.bco-dmo.org/dataset/941490 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_941490_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_941490_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_941490_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_889972_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_889972_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_889972_v1/ public [Post-hurricane Sponge Volume] - Sponge volume from repeated surveys in St. Thomas, U.S. Virgin Islands, before and after the 2017 hurricane season (RAPID: Collaborative Research: Sponge resilience in the face of multiple stressors) Prior to the 2017 hurricanes, six shallow (8-15 meter depth) reef sites had been selected from the Virgin Islands Territorial Coral Reef Monitoring Program's (TCRMP) permanent monitoring sites to study variation in sponge communities - Black Point (BP), Coculus Rock (CR), and Magens Bay (MB), which are in embayments with heavily developed watersheds. Buck Island (BI) and Savana Island (SI) are located near undeveloped offshore cays. Botany Bay (BB) is a nearshore site in a bay with a low level of watershed development.\n\nThis dataset represents sponge volume from these repeated surveys before and after the 2017 hurricane season. We used three randomly selected transects out of the six permanently established 10-meter TCRMP transects at each site. The same three transects at each site were re-surveyed repeatedly in August 2016 (pre-hurricanes), December 2017 (10 weeks post-hurricanes), March 2018 (24 weeks post-hurricanes), November 2018 (61 weeks post-hurricanes), and July 2019 (93 weeks post-hurricanes).\n\ncdm_data_type = Other\nVARIABLES:\nYear (unitless)\nSite (unitless)\nLatitude (degrees_north)\nlongitude (degrees_east)\nquadrat (unitless)\nsponge_volume (centimeters cubed per square meter (cm3/m2))\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_889972_v1/index.htmlTable https://www.bco-dmo.org/dataset/889972 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_889972_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_889972_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_889972_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_942763_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_942763_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_942763_v1/ public [Pre-experiment Urchin Barren Characterization] -  (CAREER: Energy fluxes and community stability in a dynamic, high-latitude kelp ecosystem) Before experimental manipulation with caged Pycnopodia helianthoides presence, we characterized ambient density, gonad index, and size distributions of urchin communities ( Strongylocentrotus droebachiensis and Mesocentrotus franciscanus) in three replicate urchin barrens in Sitka Sound, AK (57°2'1\"N 135°15'51\"W) from February 11-20, 2023. Via SCUBA we conducted swath surveys where grazers were identified, counted, measured (test diameter), and randomly collected for gonad dissections. These surveys serve as a baseline to describe these sites as true barrens and to compare experimental results to.\n\ncdm_data_type = Other\nVARIABLES:\nlatitude (degrees_north)\nlongitude (Long, degrees_east)\nSite (unitless)\ntime (Iso_datetime, seconds since 1970-01-01T00:00:00Z)\nDate (unitless)\ntime_unitless (Time, unitless)\nDiver (unitless)\nMeter_marks (unitless)\nSpecies (unitless)\nScientific_Name (unitless)\nCount (individual)\nArea_m2 (meters squared (m2))\nDensity_m2 (meters squared (m-2))\nnotes (unitless)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_942763_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_942763_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_942763_v1/index.htmlTable https://osprey.bco-dmo.org/dataset/942763 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_942763_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_942763_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_942763_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_990987_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_990987_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_990987_v1/ public [Predation Rate] - Predation rates by Pisaster ochraceus on Mytilus californianus along the Oregon and Northern California rocky intertidal coastline from 1999 to 2023 (RAPID: Testing the rocky intertidal community consequences of the decimation of purple sea star populations along the Oregon coast by sea star wasting disease) This dataset contains time-series measurements of mussel (Mytilus californianus) survival and experimental predation rates by the sea star Pisaster ochraceus from rocky intertidal sites along the North American west coast from 1999 to 2023.\n\nStudy/Experiment abstract:\n\nMass mortality from disease epidemics can challenge the resistance and resilience of populations and communities. Assessing the impacts of such events and their consequences is crucially dependent on long-term datasets. In 2013-16, sea star wasting disease (SSWD) caused population-wide crashes of the archetypal keystone species, the sea star Pisaster ochraceus, along the North American west coast. We used a long-term dataset to assess how predation rates by Pisaster on Mytilus californianus varied over a 16-year time series (2007-2023) of annual predation rate at 7 sites. As expected, SSWD drove predation rates to near-zero. This persisted for 3-8 years depending on site, and as of 2024, predation rates at two sites remained unrecovered.\n\ncdm_data_type = Other\nVARIABLES:\nGroupCode (unitless)\nSiteCode (unitless)\nSite (unitless)\nLatitude (decimal degrees)\nLongitude (decimal degrees)\nCape (unitless)\nRegion (unitless)\nState (unitless)\nYear (unitless)\nMonth (unitless)\nDay (unitless)\nDate (unitless)\nStartDate (unitless)\nDaysSinceStart (unitless)\n... (20 more variables)\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_990987_v1/index.htmlTable https://osprey.bco-dmo.org/dataset/990987 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_990987_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_990987_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_990987_v1
log in [Predator Induced and Non-Induced Eastern Oyster Shell Hardness] - Oyster shell hardness from study of eastern oysters (Crassostrea virginica) grown in a nursery with or without exposure to chemical cues from blue crabs (Collaborative Research: Keystone chemicals: Identifying general and universal molecules of fear) This dataset is associated with the study \"Eastern oysters alter inducible defense mechanism of shell strengthening with age\". This study tested which mechanism, hardness or thickness, juvenile eastern oysters use to strengthen their shells in response to chemical cues from predators. Data was collected from eastern oysters, Crassostrea virginica, grown in a nursery in Dauphin Island, Alabama, USA with or without exposure to chemical cues from blue crabs, Callinectes sapidus. Two age groups (four-week and eight-week-old post-settlement) of juveniles were included in this study. Oyster shells were tested for shell hardness within both shell layers. Measurements include the Vickers hardness values of foliated and prismatic oyster shell layers, as well as the number and length of cracks resulting from hardness tests.\n\ncdm_data_type = Other\nVARIABLES:\nAge_Group (unitless)\nLayer (unitless)\nID (unitless)\nTest_Num (unitless)\nBefore_Image (unitless)\nAfter_Image (unitless)\nWidth (millimeters (mm))\nD1 (micrometers (um))\nD2 (micrometers (um))\nAvg (micrometers (um))\navgD (millimeters (mm))\nForce (kilograms (kg))\nHV (?)\nCrack_Length (?)\nNum_cracks (unitless)\n BCO-DMO bcodmo_dataset_939332_v1
log in [Predator Induced and Non-Induced Eastern Oyster Shell Thickness] - Oyster shell thickness from study of eastern oysters (Crassostrea virginica) grown in a nursery with or without exposure to chemical cues from blue crabs (Collaborative Research: Keystone chemicals: Identifying general and universal molecules of fear) This dataset is associated with the study \"Eastern oysters alter inducible defense mechanism of shell strengthening with age\". This study tested which mechanism, hardness or thickness, juvenile eastern oysters use to strengthen their shells in response to chemical cues from predators. Data were collected from eastern oysters, Crassostrea virginica, grown in a nursery in Dauphin Island, Alabama, USA with or without exposure to chemical cues from blue crabs, Callinectes sapidus. Two age groups (four-week and eight-week-old post-settlement) of juveniles were included in this study. Oyster shell thickness overall and within both shell layers were measured.\n\ncdm_data_type = Other\nVARIABLES:\nAge_group (unitless)\nID (unitless)\nMeasurement_Num (unitless)\nGrid_Num (unitless)\nOverall_Angle (degrees)\nOverall_Length (micrometers)\nFoliated_Angle (degrees)\nFoliated_Length (micrometers)\nPrismatic_Angle (degrees)\nPrismatic_Length (micrometers)\n BCO-DMO bcodmo_dataset_939528_v1
log in [Probe] -  (Collaborative Research: Rhythm and Blooms: Deciphering metabolic, functional and taxonomic interactions over the life cycle of a phytoplankton bloom) This dataset contains environmental YSI EXO1 Sonde Probe data from Orcas Island, WA, USA Coastal Ocean (2m depth) from 5/27/21 to 6/18/21 collected as part of the following study.\n\n\nStudy abstract\n\n\nFloating, single-celled algae, or phytoplankton, form the base of marine food webs. When phytoplankton have sufficient nutrients to grow quickly and generate dense populations, known as blooms, they influence productivity of the entire food web, including rich coastal fisheries. The present research explores how the environment (nutrients) as well as physical and chemical interactions between individual cells in a phytoplankton community and their associated bacteria act to control the timing of bloom events in a dynamic coastal ecosystem. The work reveals key biomolecules within the base of the food web that can inform food web functioning (including fisheries) and be used in global computational models that forecast the impacts of phytoplankton activities on global carbon cycling. A unique set of samples and data collected in 2021 and 2022 that captured phytoplankton and bacterial communities before, during, and after phytoplankton blooms, is analyzed using genomic methods and the results are used to interrogate these communities for biomolecules associated with blooms stages. The team mentors undergraduates, graduate students, and postdoctoral researchers in the fields of biochemical oceanography, genome sciences, and time-series multivariate statistics. University of Washington organized hackathons to develop publicly accessible portals for the simplified interrogation and visualization of &#39;omics data, accessible to high schoolers and undergraduates. These portals are implemented in investigator-led undergraduate teaching modules in the University of Rhode Island Ocean Classroom. The research team also returns to Orcas Island, WA, where the field sampling takes place, to host a series of annual Science Weekends to foster scientific engagement with the local community.\nPhytoplankton blooms, from initiation to decline, play vital roles in biogeochemical cycling by fueling primary production, influencing nutrient availability, impacting carbon sequestration in aquatic ecosystems, and supporting secondary production. In addition to influences from environmental conditions, the physical and chemical interactions among planktonic microbes can significantly modulate blooms, influencing the growth, maintenance, and senescence of phytoplankton. Recent work in steady-state open ocean ecosystems has shown that important chemicals are transferred amongst plankton on time-dependent metabolic schedules that are related to diel cycles. It is unknown how these metabolic schedules operate in dynamic coastal environments that experience perturbations, such as phytoplankton blooms. Here, the investigators are examining metabolic scheduling using long-term, diel sample sets to reveal how chemical and biological signals associated with the initiation, maintenance, and cessation of phytoplankton blooms are modulated on both short (hrs) and long (days-weeks) time scales. Findings are advancing the ability to predict and manage phytoplankton dynamics, providing crucial insights into ecological stability and future oceanographic sampling strategies. Additionally, outcomes of this study are providing a new foundational understanding of the succession of microbial communities and their chemical interactions across a range of timescales. In the long term, this research has the potential to identify predictors of the timing of phytoplankton blooms, optimize fisheries management, and guide future research on carbon sequestration.\n\ncdm_data_type = Other\nVARIABLES:\nDate_PT (unitless)\n... (14 more variables)\n BCO-DMO bcodmo_dataset_984153_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_914892_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_914892_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_914892_v1/ public [Profile pO2 Data] - SOS-Argo floats: ocean profile pO2 data acquired in different ocean basins between May 2012 and July 2023 (The Biological Pump in the Eastern Equatorial Pacific: in situ measurements of Oxygen and Nitrate) This dataset contains data from Argo floats deployed by the Emerson group at the University of Washington between May 2012 and July 2023.  \n\nThe name SOS-Argo stands for “Special Oxygen Sensor Argo” Floats.  These floats have standard Argo sensors for hydrostatic pressure, temperature, and salinity in addition to an Aanderaa oxygen sensor  (optode) installed on a 61 cm stalk above the end cap of the float.  The tall stalk allows the float to make atmospheric pO2 measurements uncontaminated by surface waters while the float is at the surface during data transfer to shore. The atmospheric pO2 data are used for in situ calibration of the O2 sensor against atmospheric pO2.\n\ncdm_data_type = Other\nVARIABLES:\nFloat (unitless)\nFloat_Profile (unitless)\nMatlab_Time (unitless)\nExcel_Time (unitless)\nlongitude (degrees_east)\nLatitude (degrees_north)\nPressure (decibars)\nTemperature (degrees Celsius (C))\nSalinity (PSS-78)\nO2_tphase (degrees)\nO2_temp (degrees Celsius (C))\nHumanReadable_Matlab (unitless)\nO2_optode (atmospheres (atm))\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_914892_v1/index.htmlTable https://www.bco-dmo.org/dataset/914892 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_914892_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_914892_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_914892_v1
log in [Prokaryotic metatranscriptomics of corals experimentally exposed to low oxygen] - Sequence accession numbers for metatranscriptomic sequences from coral microbiomes experimentally exposed to low oxygen in 2022 (Collaborative Research: Biodiversity and resilience of corals and their microbiomes in response to ocean deoxygenation) This dataset includes accession numbers and related information for prokaryotic metatranscriptomic (RNAseq) libraries of Agaricia tenuifolia and Siderastrea siderea coral species experimentally exposed to low oxygen conditions.  Sequence data are available in The National Center for Biotechnology Information (NCBI) Sequence Read Archive (SRA) under BioProject accessions PRJNA1098207 and PRJNA1041355.\n\ncdm_data_type = Other\nVARIABLES:\nBioProject (unitless)\nBioSample (unitless)\nsample (unitless)\nSRA_Experiment (unitless)\nSRA_Run (unitless)\nSRA_Study (unitless)\ndate (unitless)\nsample_descrip (unitless)\nhost (unitless)\nsite (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\n BCO-DMO bcodmo_dataset_986522_v1
log in [Propeller scar surveys Florida 2023] - Propeller scar damage recorded in seagrass bed surveys in St. Andrew Bay and St. Joseph Bay, Florida from May to Jul 2023 (RUI: The role of ecological memory in nearshore seagrass beds affected by multiple stressors) Seagrass beds are important coastal habitats, providing critical habitat for a wide-range of associated taxa, stabilizing shorelines, and acting as biogeochemical hotspots. Due to their location in shallow coastal systems, seagrasses are exposed to myriad anthropogenic threats leading to seagrass loss at a global scale. Two threats that seagrasses face are mechanical damage (e.g., propellor scarring) and overgrazing during population booms of herbivores. \n\nHere we surveyed seagrass systems in St. Andrew Bay and St. Joseph Bay, Florida to quantify seagrasses, propellor scars, and urchins throughout the system. St. Andrew bay was divided into 3 segments: North Bay, West Bay, St. Andrew Bay. Between May 4th and July 12th, 2023 we surveyed 95 randomly selected sites, 26 in St. Andrew Bay, 26 in North Bay, 19 in West Bay, and 24 in St. Joseph Bay. Sixteen sites were revisited to assess repeatability of sampling protocols. \n\nThis datafile represents propellor scar prevalence and size data in seagrass beds. Related data files for these surveys include seagrass canopy height, seagrass and macroalgae percent cover, seagrass shoot density, and urchin (Lytechinus variegatus) counts and size data. Water quality data may also be added at a later date. See the Related Datasets section for more information on currently available data.\n\ncdm_data_type = Other\nVARIABLES:\nuID (unitless)\ntime (Date_time_utc, seconds since 1970-01-01T00:00:00Z)\ndate_time_local_EDT (unitless)\ndate_time_local_CDT (unitless)\nsiteID (unitless)\ngeneral_location (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\nscar_width (meters)\nscar_depth (meters)\nscar_length (meters)\ncut_rhizomes (unitless)\nseagrass_regrowth (unitless)\nnote (unitless)\n BCO-DMO bcodmo_dataset_1006664_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_920273_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_920273_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_920273_v1/ public [Protein kinase A (PKA) substrate phosphorylation assays] - Results from protein kinase A (PKA) substrate phosphorylation assays conducted to investigate the role of soluble adenylyl cyclase (sAC) in sperm from the gonochoric, broadcast spawning coral Astrangia poculata (Influence of environmental pH variability and thermal sensitivity on the resilience of reef-building corals to acidification stress) Most stony corals liberate their gametes into the water column via broadcast spawning, where fertilization hinges upon the activation of directional sperm motility. Sperm from gonochoric and hermaphroditic corals display distinct morphological and molecular phenotypes, yet it is unknown whether the signallng pathways controlling sperm motility are also distinct between these sexual systems. We addressed this knowledge gap using the gonochoric, broadcast spawning coral Astrangia poculata. This dataset is from protein kinase A (PKA) substrate (sub) phosphorylation assays used to investigate the role of PKA in sperm. Data are associated with Glass et al. (2023) Proceedings of the Royal Society B (10.1098/rspb.2023.0085). These data are also published in Dryad under DOI 10.5061/dryad.rn8pk0pg8.\n\ncdm_data_type = Other\nVARIABLES:\nColony (unitless)\ntime_elapsed (Time, seconds)\nTreatment (unitless)\nStim (unitless)\nLoad (micrograms (ug))\nIntensity (unitless)\nInvert (unitless)\nFold_increase (unitless)\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_920273_v1/index.htmlTable https://www.bco-dmo.org/dataset/920273 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_920273_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_920273_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_920273_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_986127_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_986127_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_986127_v1/ public [Proteomic analysis of Alteromonas macleodii exudates] - Proteomic analysis of Alteromonas macleodii exudates (Collaborative Research: Extracellular vesicles as vehicles for microbial interactions in marine Black Queen communities) The cyanobacterium Prochlorococcus has a conspicuously reduced genome causing it to require help from co-existing organisms for survival under a variety of stressful conditions. In this work we used conditioned media experiments to demonstrate that exudates of the heterotrophic bacterium Alteromonas macleodii EZ55 facilitated the survival of Prochlorococcus MIT9312 batch co-cultures as they entered stationary phase. Based on mass spectrometry analysis, Alteromonas exudates contained a wide variety of proteins. These proteins were significantly different between exudates and whole-cell lysates, suggesting they represented programmatic release instead of simple lysis. Moreover, the composition of exudates changed after 500 generations of adaptation to co-culture with Prochlorococcus, suggesting genetic regulation of protein release.\n\ncdm_data_type = Other\nVARIABLES:\nAccession (unitless)\nKO (unitless)\nName (unitless)\nMW (daltons (Da))\nLocalization (unitless)\nScore (unitless)\nLTPE26_Supernatant (unitless)\nLTPE397_Supernatant (unitless)\nLTPE403_Supernatant (unitless)\nLTPE26_Lysate (unitless)\nLTPE397_Lysate (unitless)\nLTPE403_Lysate (unitless)\nAmino_Acid_Metabolism (unitless)\nCarbohydrate_Metabolism (unitless)\nEnergy_Metabolism (unitless)\nLipid_Metabolism (unitless)\nMetabolism_of_Cofactors_and_Vitamins (unitless)\nMetabolism_of_Other_Amino_Acids (unitless)\nNucleotide_Metabolism (unitless)\nSignal_Transduction (unitless)\nOther (unitless)\nUnknown (unitless)\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_986127_v1/index.htmlTable https://osprey.bco-dmo.org/dataset/986127 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_986127_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_986127_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_986127_v1
log in [ProteOMZ Peptide Level Spectral Counts] - Total spectral counts of peptides from the R/V Falkor cruise 160115 in the Central Pacific for the ProteOMZ expedition in 2016 (The ProteOMZ Expedition: Investigating Life Without Oxygen in the Pacific Ocean) Relative protein abundance data of the upper 1000m water column from the ProteOMZ R/V Falkor expedition. There are 109952 unique peptides, each with spectral counts associated with each of the 103 samples, for 10 million data points.\n\ncdm_data_type = Other\nVARIABLES:\nsample_id (unitless)\nMS_MS_sample_name (unitless)\nprotein_id (unitless)\nprotein_molecular_weight_kDa (kDa)\nbest_protein_id_probability (unitless)\npeptide_sequence (unitless)\npeptide_start_index (unitless)\npeptide_stop_index (unitless)\nplus2H_spectra_count (count)\nplus3H_spectra_count (count)\nplus4H_spectra_count (count)\nbest_sequest_DCn_score (unitless)\nbest_sequest_Xcorr_score (unitless)\nmedian_retention_time (minutes)\ntotal_precursor_intensity (unitless)\nTIC (unitless)\nspectral_count_sum (count)\nother_protein_ids (unitless)\nstation_id (unitless)\ndepth (Depth_m, m)\nlatitude (Latitude_dd, degrees_north)\nlongitude (Longitude_dd, degrees_east)\ndate_ymd (unitless)\ntime_hms (unitless)\nminimum_filter_size_microns (microns)\nmaximum_filter_size_microns (microns)\ncruise_id (unitless)\ntime (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\n BCO-DMO bcodmo_dataset_737596_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_737620_v3 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_737620_v3.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_737620_v3/ public [ProteOMZ Protein Level Spectral Counts] - Total spectral count of proteins from R/V Falkor cruise 160115 for the ProteOMZ expedition in the Central Pacific in 2016 (The ProteOMZ Expedition: Investigating Life Without Oxygen in the Pacific Ocean) Relative protein abundance data of the upper 1000m water column from the ProteOMZ R/V Falkor expedition. There are 56,577 protein identifications over 102 samples, for ~6 million data points.\n\ncdm_data_type = Other\nVARIABLES:\nsample_id (untiless)\nMS_MS_sample_name (untiless)\nstation_id (unitless)\ndepth (Depth_m, m)\nlatitude (Latitude_dd, degrees_north)\nlongitude (Longitude_dd, degrees_east)\ndate_ymd (unitless)\ntime_hms (unitless)\nminimum_filter_size_microns (microns)\nmaximum_filter_size_microns (microns)\ncruise_id (unitless)\nprotein_id (unitless)\nspectral_count_sum (count)\nmolecular_weight_kDa (kDa)\nprotein_name (unitless)\nncbi_id (taxon)\nncbi_name (verbatimIdentifiation)\nkegg_id (unitless)\nkegg_description (unitless)\nkegg_pathway (unitless)\npfams_id (unitless)\npfams_name (unitless)\nuniprot_id (unitless)\nenzyme_comm_id (unitless)\ntime (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_737620_v3_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_737620_v3_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_737620_v3/index.htmlTable https://www.bco-dmo.org/dataset/737620 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_737620_v3.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_737620_v3&showErrors=false&email= BCO-DMO bcodmo_dataset_737620_v3
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_944892_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_944892_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_944892_v1/ public [Protist Carbon - IO] - Protist carbon from microscopy samples collected in the Argo Basin of the Eastern Indian Ocean on R/V Roger Revelle cruise RR2202 from Feb to Mar 2022 (Collaborative Research: Mesoscale variability in nitrogen sources and food-web dynamics supporting larval southern bluefin tuna in the eastern Indian Ocean) This dataset is from CTD-based water collections of samples for phytoplankton in the Argo Basin in the Eastern Indian Ocean aboard the R/V Roger Revelle cruise in Feb-March 2022 led by Dr. Michael Landry to investigate the plankton community composition and impacts on growth and survival of larval Southern Bluefin Tuna (SBT). These samples were stained and fixed for epifluorescence microscopy analysis. The microscopy results include the abundance and carbon-based biomass estimates of nano (2 to 20 µm size) and microplankton (>20 µm) sized autotrophs and heterotrophs.\n\ncdm_data_type = Other\nVARIABLES:\nCruise (unitless)\nStation_Event (unitless)\ntime (Datetimeutc, seconds since 1970-01-01T00:00:00Z)\nDate (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\nCycle (unitless)\nDay_Cycle (unitless)\nCTD_Cast (unitless)\ndepth (m)\nAutotrophic_nanoplankton_abundance (cells/mL)\nAutotrophic_nanoplankton_biomass (µg C L-1 (micrograms of carbon per liter))\nHeterotrophic_nanoplankton_abundance (cells/mL)\nHeterotrophic_nanoplankton_biomass (µg C L-1 (micrograms of carbon per liter))\nAutotrophic_microplankton_abundance (cells/mL)\nAutotrophic_microplankton_biomass (µg C L-1 (micrograms of carbon per liter))\nHeterotrophic_microplankton_abundance (cells/mL)\nHeterotrophic_microplankton_biomass (µg C L-1 (micrograms of carbon per liter))\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_944892_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_944892_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_944892_v1/index.htmlTable https://www.bco-dmo.org/dataset/944892 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_944892_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_944892_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_944892_v1
log in [Pseudo-nitzschia spp. presence-absence and environmental data] - Pseudo-nitzschia spp. presence-absence and environmental data in Narragansett Bay in Rhode Island, USA and the Northeast U.S. Shelf (NES-LTER transect) from 2018-2023 (Northeast U.S. Shelf Long Term Ecological Research site) This dataset includes environmental measurements and presence-absence of Pseudo-nitzschia species, a harmful algal bloom diatom genus, associated with samples from various sites in Narragansett Bay, Rhode Island, including the Narragansett Bay Long Term Plankton Time Series site, and several stations along the Northeast U.S. Shelf Long Term Ecological Research program transect. These data correspond to an analysis of Pseudo-nitzschia species composition and domoic acid toxin production during winters and summers from 2018-2023 in Narragansett Bay and the Northeast U.S. Shelf, which was prepared for submission to Harmful Algae (Roche, et al.). This dataset includes sites information, particulate domoic acid concentration, Pseudo-nitzschia cell counts, temperature, salinity, nutrient concentrations, presence-absence of Pseudo-nitzschia species, and NCBI BioSample accessions.\n\ncdm_data_type = Other\nVARIABLES:\nlibrary_ID (unitless)\nSample_Date (unitless)\nSite (unitless)\nSite_Abbreviation (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\nDepth_category (unitless)\ndepth (m)\nSeason (unitless)\nLTER_cruise (unitless)\nCTD_cast (unitless)\nNiskin (unitless)\npDA (nanograms/liter (ng/L))\nPseudonitzschia (cells/liter)\nTemp (Degrees Celsius (°C))\nSalinity (Practical Salinity Units (PSU))\nPhosphate (microMolar)\nSilicate (microMolar)\n... (28 more variables)\n BCO-DMO bcodmo_dataset_936856_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_871602_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_871602_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_871602_v1/ public [PTR ToF-MS peak tables: Phaeodactylum tricornutum and cocultures] - Mass-to-charge ratio +1 values in microbial cultures (Phaeodactylum tricornutum and cocultures) detected by proton transfer reaction time-of-flight mass spectrometer in 2021 and 2022 (Interactions between phytoplankton and bacterioplankton mediated by volatile organic compounds) Mass-to-charge ratio (m/z) +1 values in microbial cultures (Phaeodactylum tricornutum and cocultures) were detected by proton transfer reaction time-of-flight mass spectrometer following methods in Moore et al. (2020). doi:10.1111/1462-2920.14861\n\ncdm_data_type = Other\nVARIABLES:\nSample_Name (unitless)\nSample_Name_internal (unitless)\nSample_Replicate (unitless)\nSample_Tech (unitless)\nTime_seconds (seconds (s))\nmz_value (unitless)\nmz_signal (parts per billion by volume (ppbv))\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_871602_v1/index.htmlTable https://www.bco-dmo.org/dataset/871602 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_871602_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_871602_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_871602_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_871678_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_871678_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_871678_v1/ public [PTR ToF-MS peak tables: Synechococcus WH8102] - Mass-to-charge ratio +1 values in microbial cultures (Synechococcus WH8102) detected by proton transfer reaction time-of-flight mass spectrometer in 2021 and 2022 (Interactions between phytoplankton and bacterioplankton mediated by volatile organic compounds) Mass-to-charge ratio (m/z) +1 values in microbial cultures (Synechococcus WH8102) were detected by proton transfer reaction time-of-flight mass spectrometer following methods in Moore et al. (2020). doi:10.1111/1462-2920.14861\n\ncdm_data_type = Other\nVARIABLES:\nSample_Name (unitless)\nSample_Name_internal (unitless)\nSample_Replicate (unitless)\nSample_Tech (unitless)\nTime_seconds (seconds (s))\nmz_value (unitless)\nmz_signal (parts per billion by volume (ppbv))\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_871678_v1/index.htmlTable https://www.bco-dmo.org/dataset/871678 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_871678_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_871678_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_871678_v1
log in [Pump CTD Profiles] - Pump CTD profiles from the EMB276 cruise on R/V Elisabeth Mann Borgese in the Baltic Sea from September 20-27, 2021 (Collaborative Research: Manganese Cycling and Coupling Across Redox Boundaries within Stratified Basins of the Baltic Sea) Pump CTD profiles  include data on time, latitude, longitude, depth, h2s, o2, sulfide, pH, po4, NO3, NO2, NH4, SiO2, fluorescence, turbidity, density, temperature, and salinity from six stations in the Baltic Sea collected between September 20 - 27, 2021. Data was collected from the R/V Elisabeth Mann Borgese.\n\ncdm_data_type = Other\nVARIABLES:\ncruise_name (unitless)\nstation_number (unitless)\nstation_name (unitless)\ndate (unitless)\ntime_UTC (unitless)\ntime (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\nlatitude (Latitude_n, degrees_north)\nlongitude (Longitude_e, degrees_east)\nmax_depth_m (meters (m))\ndepth (m)\nH2S_uM (micromolar (µM))\nO2_uM (micromolar (µM))\ntotal_sulfide_umol_l (micromole per liter (µmol/L))\npH (unitless)\nPO4_umol_l (micromole per liter (µmol/L))\nNO3 (micromole per liter (µmol/L))\nNO2_umol_l (micromole per liter (µmol/L))\nNH4_umol_l (micromole per liter (µmol/L))\nSiO2_umol_l (micromole per liter (µmol/L))\nFluor_mg_m3 (mg/m^3)\nTurb_NTU (NTU)\nDensity_Sig_tet (unitless)\nTemp_C (degrees Celsius (°C))\nSalinity_PSU_ (PSU)\n BCO-DMO bcodmo_dataset_934904_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_949788_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_949788_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_949788_v1/ public [PUPCYCLE 2019 incubation experiments] - Incubation experiments to assess the physiological and molecular response of subsurface phytoplankton communities to a simulation of the Upwelling Conveyor Belt Cycle (UCBC) conducted in summer 2019 onboard the R/V Oceanus (OC1905b) (CAREER: An integrated molecular and physiological approach to examining the dynamics of upwelled phytoplankton in current and changing oceans) The primary objective of this study was to assess the physiological and molecular response of subsurface phytoplankton communities to a simulation of the Upwelling Conveyor Belt Cycle (UCBC). To capture this phenomenon, we performed on-deck incubation experiments that spanned different time points representing the different stages of growth (initial deep-water community at T0, and stimulated growth phases at T1 and T2). We further subjected the incubations to various Fe-related treatments to test how Fe might play a role in determining their physiological and molecular response to upwelling. \n\nThe first incubation was conducted from 27 May to 01 June 2019 in a wide continental shelf, and the second incubation was conducted from 02 June to 06 June 2019 in a narrow continental shelf. For each time point, the incubation was harvested and analyzed for chlorophyll, nutrients, particulate organic carbon and nitrogen, and dissolved and particulate Fe and Sc concentrations. 6-hour incubations using trace concentrations of stable isotopes of 13C and 15N were also conducted to assess uptake kinetics of dissolved inorganic carbon (DIC) and nitrate (NO3) in bulk-size fractionated phytoplankton communities. PUPCYCLE I (Phytoplankton response to the UPwelling CYCLE) took place in summer 2019 onboard the R/V Oceanus (OC1905b), led by Chief Scientist Adrian Marchetti.\n\ncdm_data_type = Other\nVARIABLES:\nExperiment (unitless)\nTime_Point (unitless)\nHours (hours)\nTreatment (unitless)\nReplicate (unitless)\nSample_Name (unitless)\nDate (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\nNO3 (micromolar (uM))\nPO4 (micromolar (uM))\n... (46 more variables)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_949788_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_949788_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_949788_v1/index.htmlTable https://osprey.bco-dmo.org/dataset/949788 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_949788_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_949788_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_949788_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_949801_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_949801_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_949801_v1/ public [PUPCYCLE 2019 upwelling transects] - Data from samples collected at four sites experiencing upwelling off the coast of Northern California in May and June of 2019 (CAREER: An integrated molecular and physiological approach to examining the dynamics of upwelled phytoplankton in current and changing oceans) The primary objective of this study aims to examine and compare the dynamics of phytoplankton blooms at different stages of upwelling. We combined environmental and physiological observations to put together a narrative of phytoplankton community succession. In doing so, we postulate that the four stations sampled represent a mosaic of different stages of relatively early upwelling cycles such that they can be classified as either the initial onset of upwelling (early stage, denoted by E1) in which the subsurface community only recently transitioned to the surface, or the relatively later phases (later stage, denoted by L2, L3, and L4) where the community has just started to build up biomass and is undergoing the \"shift-up\" response. \n\nFour sites experiencing upwelling were sampled off the coast of Northern California on May 30, 2019 (E1 and L2) and June 05, 2019 (L3 and L4). Seawater was collected using a CTD-Rosette sampler, at four depths throughout the euphotic zone at each station corresponding to 50%, 30%, 10%, and 1% incident irradiance. Samples for temperature, salinity, PAR, chlorophyll a, dissolved inorganic nutrients, dissolved metal micronutrients, and physiology were obtained. PUPCYCLE I (Phytoplankton response to the UPwelling CYCLE) took place in summer 2019 onboard the R/V Oceanus (OC 1905b), led by Chief Scientist Adrian Marchetti.\n\ncdm_data_type = Other\nVARIABLES:\nStation (unitless)\nReplicate (unitless)\ndepth (Depth_m, m)\nSample_Name (unitless)\nDate (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\nSalinity (PSU)\nTemperature (degrees Celsius)\nPAR (watts per square meter (W/m^2))\nNO3 (micromolar (uM))\nPO4 (micromolar (uM))\n... (38 more variables)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_949801_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_949801_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_949801_v1/index.htmlTable https://osprey.bco-dmo.org/dataset/949801 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_949801_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_949801_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_949801_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_945703_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_945703_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_945703_v1/ public [Pushcore macrofaunal community from Southern California seeps (July 2023)] - Pushcore macrofaunal community from samples collected at methane seeps off Southern California with the HOV Alvin from July 16-27, 2023 during R/V Atlantis cruise AT50-12 (Collaborative Research: Redefining the footprint of deep ocean methane seepage for benthic ecosystems) Pushcore and rocks were collected at methane seeps off Southern California with the HOV Alvin from July 16-27, 2023 during R/V Atlantis cruise AT50-12 for macrofaunal analyses. This dataset provides macrofaunal community composition of pushcore samples.\n\ncdm_data_type = Other\nVARIABLES:\nDate (unitless)\nAlvin_Dive (unitless)\nSite (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\ndepth (m)\nSample (unitless)\nHabitat (unitless)\nSection (centimeters)\nOrganism (unitless)\nCount (unitless)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_945703_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_945703_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_945703_v1/index.htmlTable https://www.bco-dmo.org/dataset/945703 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_945703_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_945703_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_945703_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_991509_v1 https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_991509_v1/ public [PXM1 - DOC data] - Dissolved organic carbon data from laboratory cultures of Crocosphaera watsonii, Micromonas commoda, Prochlorococcus marinus , Synechococcus, Gephyrocapsa huxleyi, and Thalassiosira pseudonana collected from September to December 2022 (Phytoplankton Exometabolites) Dissolved organic carbon (DOC) data from laboratory cultures of Gephyrocapsa huxleyi CCMP371, Crocosphaera watsonii WH8501, Micromonas commoda RCC299, Prochlorococcus marinus MIT9301, Synechococcus WH8102, and Thalassiosira pseudonana CCMP1335 were collected. Cultures were harvested during the exponential growth phase. Cell count data (available at BCO-DMO project 984095) were used to determine growth rates. DOC data were used in support of exometabolite concentration data (available at BCO-DMO project 984095) harvested from these cultures.\n\ncdm_data_type = Other\nVARIABLES:\nSample (unitless)\nstrain (unitless)\nNPOC (micromoles per liter (µmol/L))\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_991509_v1/index.htmlTable https://osprey.bco-dmo.org/dataset/991509 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_991509_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_991509_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_991509_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_991360_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_991360_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_991360_v1/ public [PXM1 - Exometabolite concentration data] - Phytoplankton exometabolite concentrations from laboratory cultures of Crocosphaera watsonii, Micromonas commoda, Prochlorococcus marinus, Synechococcus, Gephyrocapsa huxleyi, and Thalassiosira pseudonana collected from September to December 2022 (Phytoplankton Exometabolites) Blank-corrected concentration data of 56 exometabolites were characterized in laboratory cultures of Gephyrocapsa huxleyi CCMP371, Crocosphaera watsonii WH8501, Micromonas commoda RCC299, Prochlorococcus marinus MIT9301, Synechococcus WH8102, and Thalassiosira pseudonana CCMP1335. Cultures were harvested during the exponential growth phase. Cell count data (available at BCO-DMO project 984095) were used to calculate cell-specific concentrations. Blank-corrected dissolved organic carbon (DOC) concentrations (available at BCO-DMO project 984095) were used to calculate each exometabolite's fraction contribution to phytoplankton-excreted DOC. Raw mass spectrometry files have been deposited to the MetaboLights repository (dataset MTBLS12895).\n\ncdm_data_type = Other\nVARIABLES:\nspecies (unitless)\nstrain (unitless)\nmetabolites (unitless)\npresence (unitless)\nmetabolite_concentration (nanomoles per liter (nmol/L))\ncarbon_concentration (nanomoles carbon per liter (nmol C/L))\ncell_specific_concentration (attomoles per cell (amol/cell))\ncarbon_fraction (unitless)\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_991360_v1/index.htmlTable https://osprey.bco-dmo.org/dataset/991360 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_991360_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_991360_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_991360_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_991400_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_991400_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_991400_v1/ public [PXMI - Phytoplankton cell count data] - Phytoplankton cell count data from laboratory cultures of Crocosphaera watsonii, Micromonas commoda, Prochlorococcus marinus, Synechococcus, Gephyrocapsa huxleyi, and Thalassiosira pseudonana collected from September to December 2022 (Phytoplankton Exometabolites) Phytoplankton cell count data from laboratory cultures of Crocosphaera watsonii WH8501, Micromonas commoda RCC299, Prochlorococcus MIT9301, Synechococcus WH8102, Gephyrocapsa huxleyi CCMP371, and Thalassiosira pseudonana CCMP1335. Cultures were harvested during the exponential growth phase. Cell count data were used to determine growth rates, and data are used in support of exometabolite data harvested from these cultures (available at BCO-DMO project 984095). Cell count data were collected by Hanna Anderson and Eli Salcedo.\n\ncdm_data_type = Other\nVARIABLES:\nspecies (unitless)\nstrain (unitless)\nday (unitless)\nreplicate (unitless)\nRFUs (unitlesss)\ncells_per_mL (cells per milliliter)\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_991400_v1/index.htmlTable https://osprey.bco-dmo.org/dataset/991400 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_991400_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_991400_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_991400_v1
log in [Pyrolysis-GC/MS grouped compound information] - Photodegradation of macroplastics in the marine environment: Pyrolysis-GC/MS grouped compound information (EAGER: Collaborative Research: NSF2026:  Is Plastic Degradation Occurring in the Deep Ocean Water Column?) The photodegradation of macroplastics in the marine environment remains poorly understood. Here, we investigated the weathering of commercially available plastics (tabs 1.3 × 4.4 × 0.16 cm), including high-density polyethylene, low-density polyethylene, polypropylene, polystyrene, and polycarbonate, in seawater under laboratory-simulated ultraviolet A radiation for 3–9 months, equivalent to 25–75 years of natural sunlight exposure without considering other confounding factors. After the exposure, the physical integrity and thermal stability of the tabs remained relatively intact, suggesting that the bulk polymer chains were not severely altered despite strong irradiation, likely due to their low specific surface area. In contrast, the surface layer (∼1 μm) of the tabs was highly oxidized and eroded after 9 months of accelerated weathering. Several antioxidant additives were identified in the plastics through low temperature pyrolysis coupled with gas chromatography/mass spectrometry (Pyr-GC/MS) analysis. The Pyr-GC/MS results also revealed many new oxygen-containing compounds formed during photodegradation, and these compounds indicated the dominance of chain scission reactions during weathering. These findings highlight the strong resistance of industrial macroplastics to weathering, emphasizing the need for a broader range of plastics with varying properties and sizes to accurately estimate plastic degradation in the marine environment.\n\ncdm_data_type = Other\nVARIABLES:\nPolymer_name (unitless)\nPolymer_acronym (unitless)\nIncubation_time (unitless)\nUnit_of_incubation_time (unitless)\nReplicate (unitless)\nalkene_intensity (unitless)\nalkane_intensity (unitless)\nketone_intensity (unitless)\nalcohol_intensity (unitless)\naromatic_intensity (unitless)\nphenol_intensity (unitless)\nheterocyclic_intensity (unitless)\n... (5 more variables)\n BCO-DMO bcodmo_dataset_943291_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_918220_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_918220_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_918220_v1/ public [qPCR assays] - Results from qPCR assays to quantify the abundance and photochemical performance of symbionts relative to coral cells in three coral species collected from colonies in southeast Florida in April and October 2019 before, during, and after heat stress tests (Collaborative Research: Assessing the changing symbiotic milieu on Caribbean coral reefs under climate change: magnitude, tradeoffs, interventions, and implications) This dataset contains results from assays to quantify the abundance and photochemical performance of Breviolum, Cladocopium, and Durusdinium symbionts relative to coral cells in Montastraea cavernosa, Orbicella faveolata, and Siderastrea siderea corals collected from colonies in southeast Florida in April 2019 and in October 2019, before, during and after aquarium-based experimental heat stress tests. Bulk genomic DNA was extracted from tissue scrapings taken from 2.5cm diameter cores of corals and was used as a template for symbiont genus-specific qPCR assays. The resulting CT values were used to calculate the relative abundance of each symbiont genus within each coral core over the course of the heat stress. The photochemical efficiency of each coral core was also measured periodically throughout heat stress tests using an imaging pulse amplitude modulated (I-PAM) fluorometer. The publication based on these data is Buzzoni, et al. (2023) (DOI: 10.1007/s00338-023-02428-x).\n\ncdm_data_type = Other\nVARIABLES:\nSpecies (unitless)\nTreatment (unitless)\nCore (unitless)\nCollection_Latitude (degrees_north)\nlongitude (Collection_longitude, degrees_east)\nTimepoint (unitless)\nSym_Host (unitless)\nY2 (unitless)\nPropD (unitless)\nBatch (unitless)\nDate (unitless)\nColony (unitless)\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_918220_v1/index.htmlTable https://www.bco-dmo.org/dataset/918220 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_918220_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_918220_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_918220_v1
log in [Quadrat counts] - Quadrat species counts and measurements along the Northern Central California coast from 2017 to 2021 (Collaborative Proposal: Selection and Genetic Succession in the Intertidal -- Population Genomics of Pisaster ochraceus During a Wasting Disease Outbreak and its Aftermath) Quadrat species counts and measurements collected concurrently with habitat complexity photos along the Northern Central California coast from 2017 to 2021.\n\ncdm_data_type = Other\nVARIABLES:\nDate (unitless)\nSite_Code (unitless)\nArea_Number (unitless)\nSector (unitless)\nQuadrat_Waypoint (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\nQuadrat_Area (square meters (m^2))\nSpecies (per individual)\nn (per individual)\nTube_Number (unitless)\nPrimary_Measurement_Size (millimeters (mm))\nPrimary_Measurement_description (unitless)\nSecondary_Measurement_Size (millimeters (mm))\nSecondary_Measurement_description (unitless)\nNotes (unitless)\nPhoto_ID (unitless)\n BCO-DMO bcodmo_dataset_751650_v3
log in [Quadrat data] - Quadrat sampling information along the Northern Central California coast from 2017 to 2021 (Collaborative Proposal: Selection and Genetic Succession in the Intertidal -- Population Genomics of Pisaster ochraceus During a Wasting Disease Outbreak and its Aftermath) Quadrat sampling information collected concurrently with habitat complexity photos along the Northern Central California coast from 2017 to 2021.\n\ncdm_data_type = Other\nVARIABLES:\nDate (unitless)\nSite_Code (unitless)\nArea_Number (unitless)\nSector (unitless)\nQuadrat_Waypoint (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\nQuadrat_Area (square meters (m^2))\nGPS_Name (unitless)\nSite (unitless)\nStart_Time (unitless)\nQuadrat_Notes (unitless)\nMost_common_substrate (unitless)\nSecond_most_common_substrate (unitless)\nQuadrat_Photo (unitless)\nGPS_Accuracy (meters (m))\nPerson (unitless)\ntime (Quadrat_start_datetime_utc, seconds since 1970-01-01T00:00:00Z)\n BCO-DMO bcodmo_dataset_751634_v3
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_927230_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_927230_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_927230_v1/ public [Qualitative biodiversity survey of corals in Palau] - Community composition of corals in Palau determined by a qualitative survey conducted in 2021-2022 (Collaborative Research: How do selection, plasticity, and dispersal interact to determine coral success in warmer and more variable environments?) Bottlenecks in the early life-history stages of corals can shape community composition across reefs. We used photographic surveys and the deployment of tiles to capture recruit, juvenile, and adult corals at 7 sites across Palau. Photographic surveys were undertaken using two methods: a qualitative biodiversity survey (2021–2022) and quantitative transects (2023). This dataset includes the results from the biodiversity survey.\n\ncdm_data_type = Other\nVARIABLES:\nSite (unitless)\nLatitude (degrees_north)\nlongitude (degrees_east)\nType (unitless)\nStage (unitless)\nGenus (unitless)\nAbundance (count of individuals)\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_927230_v1/index.htmlTable https://www.bco-dmo.org/dataset/927230 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_927230_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_927230_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_927230_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_914147_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_914147_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_914147_v1/ public [Quantification of ciliated band length per unit protein in early echinoderm larvae: biometirc data] - Quantification of ciliated band length per unit protein in early echinoderm larvae (biometirc data), collected between 2020 and 2022 in the laboratory at California State University, Long Beach. (RUI: Effects of large inedible particles on larval feeding, planktonic larval duration, and juvenile quality in marine invertebrates) This experiment compares the ciliated band length to the protein content of eight species of echinoderm larvae. The data was collected between 2020 and 2022 in the laboratory at California State University, Long Beach.\n\ncdm_data_type = Other\nVARIABLES:\nSpecies (unitless)\nAge (days)\nDev (unitless)\nBeaker (unitless)\nLarva (unitless)\ncbl (mm)\nbl (mm)\nsl (mm)\nsw (mm)\nsa (square millimeter (mm^2))\nmpo (mm)\npo1 (mm)\npo2 (mm)\ngeospatial_bound_N (degrees_north)\ngeospatial_bound_S (degrees_north)\ngeospatial_bound_E (degrees_east)\ngeospatial_bound_W (degrees_east)\nexperiment_location_lat (degrees_north)\nexperiment_location_long (degrees_east)\nexperiment_start (unitless)\nexperiment_end (unitless)\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_914147_v1/index.htmlTable https://www.bco-dmo.org/dataset/914147 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_914147_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_914147_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_914147_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_914146_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_914146_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_914146_v1/ public [Quantification of ciliated band length per unit protein in early echinoderm larvae: protein data] - Quantification of ciliated band length per unit protein in early echinoderm larvae (protein data), collected between 2020 and 2022 in the laboratory at California State University, Long Beach. (RUI: Effects of large inedible particles on larval feeding, planktonic larval duration, and juvenile quality in marine invertebrates) This experiment compares the ciliated band length to protein content of eight species and the protein content of the larvae. The data was collected between 2020 and 2022 in the laboratory at California State University, Long Beach.\n\ncdm_data_type = Other\nVARIABLES:\nSpecies (unitless)\nAge (days)\nDev (unitless)\nBeaker (unitless)\nSample (unitless)\nAverage (nanograms (ng))\nsd (unitless)\ngeospatial_bound_N (degrees_north)\ngeospatial_bound_S (degrees_north)\ngeospatial_bound_E (degrees_east)\ngeospatial_bound_W (degrees_east)\nexperiment_location_lat (degrees_north)\nexperiment_location_long (degrees_east)\nexperiment_start (unitless)\nexperiment_end (unitless)\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_914146_v1/index.htmlTable https://www.bco-dmo.org/dataset/914146 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_914146_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_914146_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_914146_v1
log in [rad_sed_core] - Radionuclides sediment cores collected on the R/V Thomas G. Thompson cruise TT013 in the Equatorial Pacific in 1992 during the U.S. JGOFS Equatorial Pacific (EqPac) project (U.S. JGOFS Equatorial Pacific) This dataset reports measurements of radionuclides detected in sediment core samples collected on the R/V Thomas G. Thompson cruise TT013 in the Equatorial Pacific in 1992 during the U.S. JGOFS Equatorial Pacific (EqPac) project.\n\ncdm_data_type = Other\nVARIABLES:\nevent (unitless)\nsta (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\ncore_type (unitless)\ndepth_core (centimeters)\nU238 (dpm/gram)\nU238_err (dpm/gram)\nTh232 (dpm/gram)\nTh232_err (dpm/gram)\nTh230 (dpm/gram)\nTh230_err (dpm/gram)\nPa231 (dpm/gram)\nPa231_err (dpm/gram)\nBe10 (atoms/gram)\nBe10_err (atoms/gram)\nCaCO3 (percent)\nopal (percent)\nC14_age (years)\nC14_age_err (years)\n BCO-DMO bcodmo_dataset_985428_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_985428_v2 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_985428_v2.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_985428_v2/ public [rad_sed_core] - Radionuclides sediment cores collected on the R/V Thomas G. Thompson cruise TT013 in the Equatorial Pacific in 1992 during the U.S. JGOFS Equatorial Pacific (EqPac) project (U.S. JGOFS Equatorial Pacific) This dataset reports measurements of radionuclides detected in sediment core samples collected on the R/V Thomas G. Thompson cruise TT013 in the Equatorial Pacific in 1992 during the U.S. JGOFS Equatorial Pacific (EqPac) project.\n\ncdm_data_type = Other\nVARIABLES:\nevent (unitless)\nsta (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\ncore_type (unitless)\ndepth_water (meters)\ndepth_core (centimeters)\nU238 (dpm/gram)\nU238_err (dpm/gram)\nTh232 (dpm/gram)\nTh232_err (dpm/gram)\nTh230 (dpm/gram)\nTh230_err (dpm/gram)\nPa231 (dpm/gram)\nPa231_err (dpm/gram)\nBe10 (atoms/gram)\nBe10_err (atoms/gram)\nCaCO3 (percent)\nopal (percent)\nC14_age (years)\nC14_age_err (years)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_985428_v2_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_985428_v2_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_985428_v2/index.htmlTable https://osprey.bco-dmo.org/dataset/985428 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_985428_v2.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_985428_v2&showErrors=false&email= BCO-DMO bcodmo_dataset_985428_v2
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_924886_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_924886_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_924886_v1/ public [RADseq data from Atlantic silversides used for linkage and QTL mapping] - RADseq data from Atlantic silversides used for linkage and QTL mapping. (Collaborative research: The genomic underpinnings of local adaptation despite gene flow along a coastal environmental cline) ddRADseq data from 568 Atlantic silversides (Menidia menidia) that are either F1 or F2 offspring to wild-caught parents from Georgia and New York used in a controlled breeding experiment. The data were used to build linkage maps for each of the separate populations and their inter-population cross, and to perform quantitative trait locus mapping.\n\ncdm_data_type = Other\nVARIABLES:\nbioproject_accession (units)\nbiosample_accession (units)\ntaxonomic_name (units)\nmother_f0_sampling_location (units)\nlat_mother (degrees_north)\nlon_mother (degrees_east)\nfather_f0_sampling_location (units)\nlat_father (degrees_north)\nlon_father (degrees_east)\nSRA_study_accession (units)\nSRA_experiment_accession (units)\nSRA_run_accession (units)\nlibrary_ID (units)\ntitle (units)\nlibrary_strategy (units)\nlibrary_source (units)\nlibrary_selection (units)\nlibrary_layout (units)\nplatform (units)\ninstrument_model (units)\ndesign_description (units)\nfiletype (units)\nsample_name (units)\nfilename (units)\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_924886_v1/index.htmlTable https://www.bco-dmo.org/dataset/924886 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_924886_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_924886_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_924886_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_997362_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_997362_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_997362_v1/ public [RC0078, RC0104, and RC0138 CTD profiles] - CTD profiles of temperature, oxygen, salinity, fluorescence, beam attenuation and transmission, PAR, and pH collected in the Salish Sea on R/V Rachel Carson cruises RC0078, RC0104, and RC0138 during 2022, 2023 and 2025 (Collaborative Research: Resolving the production and fate of nitrogenous metabolites in the surface ocean) This dataset contains CTD profiles of temperature, oxygen, salinity, fluorescence, beam attenuation and transmission, PAR, and pH collected in the Salish Sea on R/V Rachel Carson cruises RC0078, RC0104, and RC0138 during 2022, 2023 and 2025.\n\ncdm_data_type = Other\nVARIABLES:\nCruise (unitless)\nStation (unitless)\nCast (unitless)\ntime (Date_time_utc, seconds since 1970-01-01T00:00:00Z)\ndata_time_local (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\nPRS (db)\ndepth (m)\nTMP (degrees Celsius)\nSAL (PSU)\nOXY (milligrams per liter (mg/l))\nOXYsat (milligrams per liter (mg/l))\nBeam_Attenuation (per meter)\nBeam_Transmission (percent)\nFluorescence (milligrams per cubic meter (mg/m^3))\nPAR (micromoles photons per square meter per second (umol photons/m^2/s^1))\npH (unitless)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_997362_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_997362_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_997362_v1/index.htmlTable https://osprey.bco-dmo.org/dataset/997362 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_997362_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_997362_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_997362_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_992821_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_992821_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_992821_v1/ public [RC0107 water column data] - Carbon system measurements, methane, nutrients, and sulfate concentrations from water column samples collected on R/V Rachel Carson cruise RC0107 in Clayoquot Sound, Vancouver Island, British Columbia during October 2023 (CAREER: Cryptic sulfur cycling and organic matter preservation in marine oxygen deficient zones) These data include carbon system measurements, methane, nutrients, and sulfate concentrations from water column samples collected on the R/V Rachel Carson cruise RC0107 between October 2nd and 8th, 2023 in Clayoquot Sound, Vancouver Island, British Columbia. Water samples were collected at multiple sites in Clayoquot Sound.\n\nCTD casts were conducted at numerous locations across the study area, and the corresponding CTD data are publicly available through the Rolling Deck to Repository (R2R). For sampling sites where water was collected, we provide data for the carbon system (DIC, pH, and alkalinity), methane, nutrients, and sulfate concentrations. These data will be valuable for those interested in carbon cycling and biogeochemistry in fjord systems. Samples were collected by Molly Crotteau, Morgan Raven, Aaron Martinez, Natalya Evans, Marianna Karagiannis, Jordan Fisburn, and Jaqui Neibauer. Data were interpreted by Morgan Raven and Molly Crotteau.\n\ncdm_data_type = Other\nVARIABLES:\nsite (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\ndate (unitless)\ndepth (m)\ntemp (degrees Celsius)\nsal (PSU)\nO2 (micromole per kilogram)\nfluor (milligram per meter cubed)\nSO4 (millimolar)\nDIC (millimolar)\nd13C_DIC (per mille)\npH (unitless)\nAlk (micromole per kilogram)\nCH4 (nanomolar)\nPO4 (micromolar)\n... (4 more variables)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_992821_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_992821_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_992821_v1/index.htmlTable https://osprey.bco-dmo.org/dataset/992821 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_992821_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_992821_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_992821_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_954262_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_954262_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_954262_v1/ public [RECHARGE 2018 - 2020 Microbiome Data] - Sequence read accession (SRA) numbers and collection metadata for coral microbiome collected in Moorea, French Polynesia from Jul 2018 to Aug 2020 (Collaborative Research: Tipping points in coral reefs and their associated microbiomes: interactive effects of herbivory, nutrient enrichment, and temperature) This dataset contains the complete sample information for the 16S rRNA gene V4 region amplicon sequencing data associated with the NCBI SRA accession from BioProject PRJNA994532. All raw sequencing data can be found at this publicly available NCBI SRA BioProject. \n\nThe associated samples were collected from an in situ coral manipulative experiment in Moorea, French Polynesia between 2018-2020 from Acropora retusa, Porites lobata, and Pocillopora spp. Data collection was a multi-university collaborative effort between the Vega Thurber Laboratory,  at Oregon State University during the time of the experiment, and the Burkepile Community Ecology Laboratory at UC Santa Barbara. The experiment, conducted on the fore reef on the north shore of the island, evaluated the interaction of consumer pressure level (termed \"Herbivory\" in the dataset and in Vompe et al., 2023) and nutrient enrichment on coral microbiome composition and host success. The experiment also captured two severe and sequential marine heatwaves in 2019 and 2020. This experiment aimed to  evaluate whether managing local inputs, including water column nutrient levels and fishing regimes, interacts with heat stress to affect coral success. Coral microbiomes were sampled as these microbial communities are known to interact with host health during heat stress. The data herein correspond to the microbiomes of the sampled corals.\n\ncdm_data_type = Other\nVARIABLES:\nSample (unitless)\nDate_MonthYear (unitless)\nCoral_Code (unitless)\nHerbivory (unitless)\nNutrients (unitless)\nPlot (unitless)\nTag (unitless)\nBatch (unitless)\nRun (unitless)\nAssayType (unitless)\nAvgSpotLen (unitless)\nBases (unitless)\n... (32 more variables)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_954262_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_954262_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_954262_v1/index.htmlTable https://osprey.bco-dmo.org/dataset/954262 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_954262_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_954262_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_954262_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_954197_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_954197_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_954197_v1/ public [RECHARGE 2018 - 2020 Microbiome Host Bleaching and Mortality Data] - Microbiome Host Bleaching and Mortality Data for coral hosts collected in Moorea, French Polynesia from Jul 2018 to Aug 2020 (Collaborative Research: Tipping points in coral reefs and their associated microbiomes: interactive effects of herbivory, nutrient enrichment, and temperature) This dataset contains bleaching and mortality levels for the coral hosts associated with the 16S rRNA gene V4 region amplicon sequencing data, NCBI SRA accession from BioProject PRJNA994532. Orthorectified photomosaics were assembled from photos taken of experimental plots from an in situ coral manipulative experiment in Moorea, French Polynesia between 2018-2020. Partial bleaching and mortality was assigned from these photomosaics to Acropora retusa, Porites lobata, and Pocillopora spp. coral colonies associated with the microbiome sampling described above, whenever possible. Data collection was a multi-university collaborative effort between the Vega Thurber Laboratory, at Oregon State University during the time of the experiment, and the Burkepile Community Ecology Laboratory at UC Santa Barbara. \n\nThe experiment, conducted on the fore reef on the north shore of the island, evaluated the interaction of consumer pressure level (termed \"Herbivory\" in the dataset and in Vompe et al., 2023) and nutrient enrichment on coral microbiome composition and host bleaching and mortality. The experiment also captured two severe and sequential marine heatwaves in 2019 and 2020. This experiment aimed to evaluate whether managing local inputs, including water column nutrient levels and fishing regimes, interacts with heat stress to affect coral success. Coral colony partial bleaching and partial mortality data were collected for hosts sampled for microbiome analyses, because we aimed to correlate microbiome changes to changes in host phenotypes.\n\ncdm_data_type = Other\nVARIABLES:\nSample (unitless)\nDate (unitless)\nCoral (unitless)\nHerbivory (unitless)\nNutrients (unitless)\nPlot (unitless)\nTag (unitless)\nRun (unitless)\nColony (unitless)\npercent_bleached (percent)\npercent_dead (percent)\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_954197_v1/index.htmlTable https://osprey.bco-dmo.org/dataset/954197 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_954197_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_954197_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_954197_v1
log in [Recruit area measurements] - Area of Orbicella faveolata recruits hosting different proportions of various symbiont genera from a symbiont acquisition laboratory experiment conducted in 2018 and 2019 (Collaborative Research: Assessing the changing symbiotic milieu on Caribbean coral reefs under climate change: magnitude, tradeoffs, interventions, and implications) This dataset includes area (mm2) of Orbicella faveolata recruits hosting different proportions of various symbiont genera.\n\nThese data correspond to research presented in Williamson et al. (2021), published in Coral Reefs and funded in part by the NSF project \"Symbiont Shifts on Reefs\". They were used to test if Orbicella faveolata recruits could establish symbiosis with D. trenchii supplied by nearby “donor” colonies and examined the resulting ecological trade-offs to evaluate early Symbiodiniaceae manipulation as a scalable tool for reef restoration. We exposed aposymbiotic recruits to 29 °C or 31 °C and to fragments of Montastraea cavernosa (containing Cladocopium ITS2 type C3) or Siderastrea siderea (containing D. trenchii). Next, a subset of recruits were exposed to a 60-day heat stress. These data include survivorship and symbiont acquisition rates, symbiont identity and density data (derived using qPCR), polyp area measurements, and scoring of bleaching and survivorship during a heat stress experiment. Overall, proportion of D. trenchii hosted was negatively correlated with polyp size and symbiont density, indicating a trade-off between growth (of both host and symbiont) and heat tolerance. These findings suggest that, while donor colonies may be effective sources for seeding coral recruits with thermotolerant symbionts, practitioners will need to balance the likely benefits and costs of these approaches when designing restoration strategies.\n\ncdm_data_type = Other\nVARIABLES:\nDate_of_Photo (unitless)\nImage_Name (unitless)\nTank (unitless)\nAdult (unitless)\nTemp (unitless)\nArea_mm2 (square millimeters (mm2))\n BCO-DMO bcodmo_dataset_920846_v1
log in [Recruit qPCR data] - qPCR data for Orbicella faveolata recruits throughout a symbiont acquisition laboratory experiment conducted in 2018 and 2019 (Collaborative Research: Assessing the changing symbiotic milieu on Caribbean coral reefs under climate change: magnitude, tradeoffs, interventions, and implications) qPCR data for Orbicella faveolata recruits throughout symbiont acquisition laboratory experiment. Includes proportion of different Symbiodinaceae genera hosted, and symbiont-to-host cell ratios (symbiont density).  \n\nThese data correspond to research presented in Williamson et al. (2021), published in Coral Reefs and funded in part by the NSF project \"Symbiont Shifts on Reefs\". They were used to test if Orbicella faveolata recruits could establish symbiosis with D. trenchii supplied by nearby “donor” colonies and examined the resulting ecological trade-offs to evaluate early Symbiodiniaceae manipulation as a scalable tool for reef restoration. We exposed aposymbiotic recruits to 29 °C or 31 °C and to fragments of Montastraea cavernosa (containing Cladocopium ITS2 type C3) or Siderastrea siderea (containing D. trenchii). Next, a subset of recruits were exposed to a 60-day heat stress. These data include survivorship and symbiont acquisition rates, symbiont identity and density data (derived using qPCR), polyp area measurements, and scoring of bleaching and survivorship during a heat stress experiment. Overall, proportion of D. trenchii hosted was negatively correlated with polyp size and symbiont density, indicating a trade-off between growth (of both host and symbiont) and heat tolerance. These findings suggest that, while donor colonies may be effective sources for seeding coral recruits with thermotolerant symbionts, practitioners will need to balance the likely benefits and costs of these approaches when designing restoration strategies.\n\ncdm_data_type = Other\nVARIABLES:\nSample (unitless)\ntank (unitless)\ntemp (unitless)\nadult (unitless)\ndays (days)\nCoral_CT_mean (unitless)\nA_CT_mean (unitless)\nB_CT_mean (unitless)\nC_CT_mean (unitless)\n... (15 more variables)\n BCO-DMO bcodmo_dataset_920860_v1
log in [Recruit survivorship and symbiont acquisition] - Survivorship and proportion of recruits infected with Symbiodiniaceae over time during a symbiont acquisition laboratory experiment conducted in 2018 and 2019 (Collaborative Research: Assessing the changing symbiotic milieu on Caribbean coral reefs under climate change: magnitude, tradeoffs, interventions, and implications) Survivorship and proportion of recruits infected with Symbiodiniaceae over time during a symbiont acquisition laboratory experiment. \n\nThese data correspond to research presented in Williamson et al. (2021), published in Coral Reefs and funded in part by the NSF project \"Symbiont Shifts on Reefs\". They were used to test if Orbicella faveolata recruits could establish symbiosis with D. trenchii supplied by nearby “donor” colonies and examined the resulting ecological trade-offs to evaluate early Symbiodiniaceae manipulation as a scalable tool for reef restoration. We exposed aposymbiotic recruits to 29 °C or 31 °C and to fragments of Montastraea cavernosa (containing Cladocopium ITS2 type C3) or Siderastrea siderea (containing D. trenchii). Next, a subset of recruits were exposed to a 60-day heat stress. These data include survivorship and symbiont acquisition rates, symbiont identity and density data (derived using qPCR), polyp area measurements, and scoring of bleaching and survivorship during a heat stress experiment. Overall, proportion of D. trenchii hosted was negatively correlated with polyp size and symbiont density, indicating a trade-off between growth (of both host and symbiont) and heat tolerance. These findings suggest that, while donor colonies may be effective sources for seeding coral recruits with thermotolerant symbionts, practitioners will need to balance the likely benefits and costs of these approaches when designing restoration strategies.\n\ncdm_data_type = Other\nVARIABLES:\ntank (unitless)\ntemp (unitless)\nadult (unitless)\ndays (days)\nsurvivorship (unitless)\nproportion_infected (unitless)\n BCO-DMO bcodmo_dataset_920853_v1
log in [Reef organism growth in response to SGD] - Reef organism growth from in-situ experiments with submarine groundwater discharge (SGD) exposure treatments conducted in Mo'orea, French Polynesia in 2022 and 2023 (RUI: Collaborative Research: Defining the biogeochemical context and ecological impacts of submarine groundwater discharge on coral reefs) This dataset contains reef organism growth data in response to submarine groundwater discharge (SGD) from the study described below. See the \"Related Datasets\" section or the project page for other data collected as part of this study.  \n\nStudy description:\n\nCoral reefs experience numerous environmental gradients affecting organismal physiology and species biodiversity, which ultimately impact community metabolism. This study shows that submarine groundwater discharge (SGD), a common natural environmental gradient in coastal ecosystems associated with decreasing temperatures, salinity, and pH with increasing nutrients, has both direct and indirect effects on coral reef community metabolism by altering individual growth rates and community composition. Our data revealed that SGD exposure hindered growth of two algae, Halimeda opuntia and Valonia fastigiata, by 67% and 200%, respectively, and one coral, Porites rus, by 20%. Community metabolic rates showed altered community production, respiration, and calcification driven by differences in community identity (i.e., species composition) between naturally high and low exposure areas, rather than a direct SGD effect. Production and calcification were 1.5 and 6.5 times lower in assemblages representing high SGD communities, regardless of environment. However, the compounding effect of community identity and SGD exposure on respiration resulted in the low SGD community exhibiting the highest respiration rates under higher SGD exposure. By demonstrating SGD's role in altering community composition and metabolism, this research highlights the critical need to consider compounding environmental gradients (i.e., nutrients, salinity, and temperature) in the broader context of ecosystem functions.\n\ncdm_data_type = Other\nVARIABLES:\nSpeciesID (unitless)\nDaysInSitu (days)\nAT (unitless)\nET (unitless)\ngrowthrate (mg per g per day  (mg g-1 d-1))\nSA (square centimeters (cm2))\nFullSp (unitless)\nLocation (unitless)\n BCO-DMO bcodmo_dataset_960128_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_908026_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_908026_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_908026_v1/ public [Reef seawater biogeochemistry from the Jardines de la Reina reef-system] - Reef seawater biogeochemistry data from samples collected in the Jardines de la Reina reef-system, Cuba in November of 2017 (Signature exometabolomes of Caribbean corals and influences on reef picoplankton) Reef depth and reef surface seawater samples were collected from reefs in Jardines de la Reina and subjected to targeted and untargeted liquid chromatography mass spectrometry (LC-MS) methods in addition to a suite of biogeochemical measurements (inorganic and organic nutrient concentrations, microbial cell abundances, chlorophyll a concentrations, and physicochemical properties). \nRaw and .mzML data files from the LC-MS methods are located at MetaboLights database, using accession number MTBLS1820. The link is: https://www.ebi.ac.uk/metabolights/MTBLS1820/.\n\nThese data were published in Weber et al. (2020).\n\ncdm_data_type = Other\nVARIABLES:\nreef (unitless)\nsite (unitless)\ndate (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\ndepth (m)\nbiome (unitless)\nsampling_depth (unitless)\ngrouping (unitless)\nDOC (micro molar (uM))\nDN (micro molar (uM))\nTOC (micro molar (uM))\nTN (micro molar (uM))\nPro (cells per mL)\nSyn (cells per mL)\nPico (cells per mL)\nHbact (cells per mL)\nTotalcells (cells per mL)\nPO4 (micro molar (uM))\nSI (micro molar (uM))\n... (11 more variables)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_908026_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_908026_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_908026_v1/index.htmlTable https://www.bco-dmo.org/dataset/908026 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_908026_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_908026_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_908026_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_958181_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_958181_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_958181_v1/ public [Reef surveys before SCTLD (2018 and 2020)] - Benthic community data from surveys of reefs in southwestern Puerto Rico during 2018 and 2020 (RAPID: MICROBIOME AND POPULATION DYNAMICS IN SCLERACTINIAN CORAL TISSUE LOSS DISEASE INFECTED CORALS IN PUERTO RICO) This data set consists of benthic community surveys from reefs in southwestern Puerto Rico. The surveys occurred during 2018 and 2020 at various shallow depths (3-, 4-, 10-, 15-meters) in the reefs Turrumote 2, Romero, Guilligan Is, Guanica Bay, Cayo Coral, and Punta Guanica. The methodology used in the field was the line transect method.\n\nTo understand the community changes caused by Stony Coral Tissue Loss Disease (SCTLD), a baseline is needed before the advent of the disease. These benthic coverage data composed of different coral species, algae, and other substrata will serve as the baseline information and were collected by Dr. Ernesto Weil of the Department of Marine Sciences, University of Puerto Rico at Mayaguez.\n\ncdm_data_type = Other\nVARIABLES:\nYear (unitless)\nDate (unitless)\nLocality (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\nReef_Number (unitless)\nTransect (unitless)\ndepth (m)\nDepth_code (unitless)\nGroup (unitless)\nGenera (unitless)\nSpecies_code (unitless)\nSpecies_name (unitless)\nRaw_data (centimeters (cm))\nlinear_cover (centimeters (cm))\npercent_cover (percentage (%))\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_958181_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_958181_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_958181_v1/index.htmlTable https://osprey.bco-dmo.org/dataset/958181 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_958181_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_958181_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_958181_v1
log in [Reef-level genetic diversity of assigned oyster genetic clusters] - Genetic diversity metrics for oyster genetic clusters from an experimental oyster reef restoration in Ninigret Pond, Rhode Island (USA) in 2018-2020 (CAREER: Linking genetic diversity, population density, and disease prevalence in seagrass and oyster ecosystems) This dataset contains genetic cluster-level estimates of genetic diversity for eastern oysters (Crassostrea virginica, urn:lsid:marinespecies.org:taxname:140657) sampled from each of the 12 experimental restored reefs in Ninigret Pond, Rhode Island, USA in fall 2018 and fall 2020, as part of a multi-year oyster reef restoration experiment using oysters sourced from four commercial hatcheries along the U.S. Atlantic coast. Genetic diversity metrics - observed heterozygosity (Ho), expected heterozygosity (He), allelic richness (Ar), and inbreeding coefficient (FIS) - were estimated for each genetic cluster represented on each reef at the two sampling time points using SNP genotype data (4679 SNPs). Bootstrapped confidence intervals for FIS are also provided. Genetic clusters broadly correspond to the four commercial hatchery sources (Maine, Massachusetts, New York, and Virginia) as described in the related genetic assignments dataset.\n\ncdm_data_type = Other\nVARIABLES:\nyearcoll (unitless)\nblock (unitless)\nreef (unitless)\nprimary_genetic_assignment (unitless)\nn_inds (count)\nHo (unitless (proportion))\nHe (unitless (proportion))\nAr (alleles per locus (standardized))\nFIS (unitless)\nFIS_ll (unitless)\nFIS_hl (unitless)\n BCO-DMO bcodmo_dataset_1004745_v1
log in [Respiration and Gross Photosynthesis Rates of Galápagos Macroalgae from 2022 to 2025] - Respiration and Gross Photosynthesis Rates of Galápagos Macroalgae from 2022 to 2025 (Temperature Regulation of Top-Down Control in a Pacific Upwelling System) We measured benthic algal dark respiration and gross photosynthesis rates in situ using a Community In Situ Metabolism instrument (CISME) system (a diver-portable respirometer) via SCUBA in Tijeretas, San Cristobal, Galapagos. We conducted field trials in June 2022, March 2024, October 2024, and January 2025. The samples were then transported to the Marine Ecology Laboratory at the Galapagos Science Center, where dried weight was determined.\n\ncdm_data_type = Other\nVARIABLES:\nreplicate (unitless)\nstep (unitless)\nduration (Time, minutes)\no2_percent_sat (percent (%))\no2_umol_kg (µmol/kg)\ndry_weight (grams (g))\nyear_month (unitless)\ndate (unitless)\n BCO-DMO bcodmo_dataset_969049_v1
log in [Results of meta-analysis on CovGE in phenotypic results] - Results from a meta-analysis investigating covariance between genetic and environmental (CovGE) effects in phenotypic results in published literature (RCN: Evolution in Changing Seas) Covariance can exist between the genetic and environmental influences on phenotype (CovGE)\nand can have an important role in ecological and evolutionary processes in nature and population responses to environmental change. CovGE is commonly called countergradient variation (CnGV; negative CovGE)or cogradient variation (CoGV; positive CovGE)and has been recognized in classic studies that have established several long-standing hypotheses about CnGV and CoGV. For instance, it is hypothesized that CnGV is more prevalent in nature than CoGV, that CnGV is more prevalent in fish, amphibian, and invertebrate taxa, across latitudinal or altitudinal environmental gradients, and more frequently occurs in metabolic compensation traits, including development, growth, feeding, metabolism, and activity, while CoGV is more commonly observed in morphological traits. The recent development of a standardized method to measure CovGE allows for the first rigorous quantitative exploration of these hypotheses. We use meta-analysis and apply the novel quantitative method to test whether the above hypotheses are supported in the literature. We found no differences in frequency of CnGV and CoGV, and no systematic patterns relative to taxa, environmental gradient, or trait type. However, our analyses suggest that CovGE may be as common as gene by environment (GxE) interactions. Given that CovGE is likely to have a strong impact on future outcomes for organisms experiencing environmental change, that significant CovGE occurred frequently, and the lack of systematic patterns in the occurrence of CovGE, we encourage a more widespread application of measuring CovGE.\n\ncdm_data_type = Other\nVARIABLES:\nIndex1 (unitless)\nIndex (unitless)\nno_bcodmo_term (Time, unitless)\nData_file_name (unitless)\nFirst_Author (unitless)\nData_type (unitless)\nPhylum (unitless)\nGenus (unitless)\nSpecies (unitless)\nOrder (unitless)\n... (29 more variables)\n BCO-DMO bcodmo_dataset_877425_v2
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_870857_v2 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_870857_v2.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_870857_v2/ public [RI Functional Trait Data] - The implications of functional trait variation from fish sampled in Rhode Island salt ponds from June to October 2018 (CAREER: Linking genetic diversity, population density, and disease prevalence in seagrass and oyster ecosystems) This dataset represents an archive of functional trait data from fish sampled in Rhode Island salt ponds from June to October 2018.\n\ncdm_data_type = Other\nVARIABLES:\nDate (unitless)\nPond (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\nScientific_name (unitless)\nCommon_name (unitless)\nBiomass (grams)\nStandard_length (millimeters)\nFork_length (millimeters)\nOral_gape_surface (unitless)\nOral_gape_shape (unitless)\nOral_gape_position (unitless)\nProtrusion (millimeters)\nEye_size (unitless)\nEye_Position (unitless)\nBody_transversal_shape (unitless)\nBody_transversal_surface (mm2 per gram)\nPectoral_in_position (unitless)\nCaudal_peduncle_throttling (unitless)\nConcentration_of_NH4 (Micromoles (uM))\nConcentration_of_PO4 (Micromoles (uM))\nN_P_ratio (unitless)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_870857_v2_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_870857_v2_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_870857_v2/index.htmlTable https://www.bco-dmo.org/dataset/870857 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_870857_v2.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_870857_v2&showErrors=false&email= BCO-DMO bcodmo_dataset_870857_v2
log in [RNA taxonomy from PUPCYCLE II Iron incubation experiment] - RNA taxonomy data from an iron incubation experiment during the PUPCYCLE II cruise (R/V Sally Ride) within the California Current System in May and June of 2023 (CAREER: An integrated molecular and physiological approach to examining the dynamics of upwelled phytoplankton in current and changing oceans) This dataset includes metatranscriptomic (RNA-seq) taxonomy results from an iron incubation experiment using upwelled waters sampled in the California Current System (CCS) during the PUPCYCLE II cruise with Chief Scientist Adrian Marchetti. PUPCYCLE II (Phytoplankton response to the UPwelling CYCLE) took place onboard the R/V Sally Ride from May 29th to June 10th, 2023. Freshly upwelled seawater for the incubation experiment was collected within the northern CCS and placed into designated cubitainers. Three cubitainers were immediately harvested for the initial timepoint (T0). The remaining twenty-seven cubitainers were assigned treatments: nine were unamended (Ctrl), nine were amended with 5 nM FeCl2 (Fe), and nine were amended with 200 nM Desferrioxamine B, a strong iron chelator (DFB). Three cubitainers from each treatment were harvested for each of the three subsequent timepoints: 48 hours (T1), 168 hours (T2), and 264 hours (T3) after incubation. Approximately 2.5 to 4 liters of each sample was harvested for RNA-seq of the natural phytoplankton community, or metatranscriptomics. The dataset provides results of RNA-seq analyses for relative taxonomic compositions of each sample, focused on broad protist groups, mixotroph genera, and diatom genera. These results show the differences in transcriptional activity of phytoplankton taxa groups between different iron regimes, specifically the domination of diatoms in Ctrl/+Fe and the steady presence of mixotrophs in DFB.\n\ncdm_data_type = Other\nVARIABLES:\nTimepoint (unitless)\nTreatment (unitless)\nProtist_Group (unitless)\nMixotroph_Genera (unitless)\nDiatom_Genera (unitless)\nMean_Num_Reads (number of normalized reads)\nSD_Num_Reads (number of normalized reads)\nMean_Percent_Reads (percentage)\nSD_Percent_Reads (percentage)\nlatitude (degrees_north)\nlongitude (degrees_east)\n BCO-DMO bcodmo_dataset_1003525_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_908180_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_908180_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_908180_v1/ public [RNA:DNA measurements - field data] - RNA:DNA measurements for field-collected animals from the Gulf of Mexico Estuary near Port Aransas and Mud Island, Texas from 2020 to 2021 (Counter-gradient Flow of Fatty Acids in Marine Food Webs Through Egg Boons) RNA:DNA measurements for field-collected animals from the Gulf of Mexico Estuary near Port Aransas and Mud Island, Texas from 2020 to 2021.\n\ncdm_data_type = Other\nVARIABLES:\nScientific_name (unitless)\nCommon_name (unitless)\nSample_ID (unitless)\nSite (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\nDate_collected (unitless)\nDate_analyzed (unitless)\nTissue (unitless)\nPrimary_check (unitless)\nRNA_DNA (unitless)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_908180_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_908180_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_908180_v1/index.htmlTable https://osprey.bco-dmo.org/dataset/908180 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_908180_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_908180_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_908180_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_908155_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_908155_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_908155_v1/ public [RNA:DNA Ratios and Total lipids – experiment data] - RNA:DNA and total lipid measurements for laboratory-based experimental animals collected from the Gulf of Mexico Estuary near Port Aransas, Texas from 2020 to 2022 (Counter-gradient Flow of Fatty Acids in Marine Food Webs Through Egg Boons) RNA:DNA and total lipid measurements for laboratory-based experimental animals collected from the Gulf of Mexico Estuary near Port Aransas, Texas from 2020 to 2022. Laboratory experiments took place at the Fisheries and Mariculture Laboratory of the University of Texas Marine Science Institute from July 2021 to November 2022.\n\ncdm_data_type = Other\nVARIABLES:\nTaxon (unitless)\nTissue_sampled (unitless)\nLength (centimeters (cm))\nTank_number (unitless)\nAcclimation_days (days)\nDays_after_acclimation (days)\nTreatment (unitless)\nDiet_fed (unitless)\nNotes (unitless)\nPrimary_check (unitless)\nTotal_lipids (milligrams per gram of dry weight (mg g-1 dw))\nRNA_DNA (unitless)\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_908155_v1/index.htmlTable https://www.bco-dmo.org/dataset/908155 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_908155_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_908155_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_908155_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_945707_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_945707_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_945707_v1/ public [Rock macrofaunal community from Southern California seeps (July 2023)] - Rock macrofaunal community from samples collected at methane seeps off Southern California with the HOV Alvin from July 16-28, 2023 during R/V Atlantis cruise AT50-12 (Collaborative Research: Redefining the footprint of deep ocean methane seepage for benthic ecosystems) Rocks were collected at methane seeps off Southern California with the HOV Alvin from July 16-28, 2023 during R/V Atlantis cruise AT50-12 for macrofaunal analyses. This dataset contains major taxa counts for fauna identified as well as collection and sample metadata.\n\ncdm_data_type = Other\nVARIABLES:\nDate (unitless)\nAlvin_Dive (unitless)\nSite (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\ndepth (m)\nSample_number (unitless)\nHabitat (unitless)\nSample_type (unitless)\nCorrosion (unitless)\nSurface_Area (cm2)\nAnnelida (per individual)\nArthropoda (per individual)\nMollusca (per individual)\nEchinodermata (per individual)\nOther (per individual)\nTotal_count (per individual)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_945707_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_945707_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_945707_v1/index.htmlTable https://osprey.bco-dmo.org/dataset/945707 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_945707_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_945707_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_945707_v1
log in [Roller Tank Experiment BATS 2021-2023] - Zooplankton-mediated aggregate formation was measured during seven Bermuda Atlantic Time-series Study (BATS) cruises aboard the R/V Atlantic Explorer Jul 2021 to Mar 2023 (Collaborative Research: Zooplankton mediation of particle formation in the Sargasso Sea) Zooplankton-mediated aggregate formation was measured during seven Bermuda Atlantic Time-series Study (BATS) cruises (AE2112, AE2114, AE2124, AE2204, AE2214, AE2224, AE2306) aboard the R/V Atlantic Explorer between 2021-07-08 and 2023-03-26 in the Sargasso Sea near Bermuda. This dataset reports roller-tank incubation data documenting the formation of zooplankton-mediated aggregates are also included, with records of individuals used and aggregate production outcomes. \n\nTogether with the related datasets, these data provide integrated measurements linking zooplankton identity, size, fecal-pellet production, pellet elemental composition, and aggregate formation, supporting process-based analyses of zooplankton roles in particle production and vertical carbon transfer at BATS. The data were collected aboard the R/V Atlantic Explorer through the collaborative efforts of the laboratories of Dr. Susanne Neuer, Dr. Amy Maas, and Dr. Leocadio Blanco-Bercial, affiliated with Arizona State University and the Bermuda Institute of Ocean Sciences.\n\ncdm_data_type = Other\nVARIABLES:\nStart_Date (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\nCruise (unitless)\nStart_Time (unitless)\nEnd_Time (unitless)\nTotal_Time (unitless)\nHours (hours)\nRolling_Start_Time (unitless)\nTakedown_Date (unitless)\nTakedown_Time (unitless)\nMin_Depth (meters (m))\nMax_Depth (meters (m))\nExperiment (unitless)\nZooplankton_Groups (unitless)\n... (9 more variables)\n BCO-DMO bcodmo_dataset_998220_v1
log in [Roller Tank Experiment BATS 2021-2023] - Zooplankton-mediated aggregate formation was measured during seven Bermuda Atlantic Time-series Study (BATS) cruises aboard the R/V Atlantic Explorer Jul 2021 to Mar 2023 (Collaborative Research: Zooplankton mediation of particle formation in the Sargasso Sea) Zooplankton-mediated aggregate formation was measured during seven Bermuda Atlantic Time-series Study (BATS) cruises (AE2112, AE2114, AE2124, AE2204, AE2214, AE2224, AE2306) aboard the R/V Atlantic Explorer between 2021-07-08 and 2023-03-26 in the Sargasso Sea near Bermuda. This dataset reports roller-tank incubation data documenting the formation of zooplankton-mediated aggregates are also included, with records of individuals used and aggregate production outcomes. \n\nTogether with the related datasets, these data provide integrated measurements linking zooplankton identity, size, fecal-pellet production, pellet elemental composition, and aggregate formation, supporting process-based analyses of zooplankton roles in particle production and vertical carbon transfer at BATS. The data were collected aboard the R/V Atlantic Explorer through the collaborative efforts of the laboratories of Dr. Susanne Neuer, Dr. Amy Maas, and Dr. Leocadio Blanco-Bercial, affiliated with Arizona State University and the Bermuda Institute of Ocean Sciences.\n\ncdm_data_type = Other\nVARIABLES:\nStart_Date (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\nCruise (unitless)\nStart_Time (unitless)\nEnd_Time (unitless)\nTotal_Time (unitless)\nHours (hours)\nRolling_Start_Time (unitless)\nTakedown_Date (unitless)\nTakedown_Time (unitless)\nMin_Depth (meters (m))\nMax_Depth (meters (m))\nExperiment (unitless)\nZooplankton_Groups (unitless)\n... (9 more variables)\n BCO-DMO bcodmo_dataset_998220_v2
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_768259_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_768259_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_768259_v1/ public [Ross Sea metaproteome peptide spectral counts] - Ross Sea metaproteome peptide spectral counts searched against Phaeocystis strain transcriptome from net tows during RVIB Nathaniel B. Palmer cruise NBP0601 in December of 2015 (Controls of Ross Sea Algal Community Structure) A net tow metaproteome of a Phaeocystis antarctica bloom in the Ross Sea, mapped here to Phaeocystis metatranscriptomes analyzed by 2D LCMS, in units of peptide spectral counts.\n\ncdm_data_type = Other\nVARIABLES:\nsample_id (unitless)\ncruise_id (unitless)\nstation_id (unitless)\nlatitude_dd (degrees_north)\nlongitude (Longitude_dd, degrees_east)\ndepth (Depth_m, m)\ndate_local (unitless)\ntime_local (unitless)\nminimum_filter_size_microns (microns (um))\nmaximum_filter_size_microns (microns (um))\npeptide_sequence (unitless)\npeptide_start_index (unitless)\npeptide_stop_index (unitless)\nprotein_molecular_weight_kDa (kilo-Daltons (kDa))\nprotein_id (unitless)\nspectral_count_sum (unitless)\nother_protein_ids (unitless)\nbest_protein_id_probability (unitless)\nbest_sequest_DCn_score (unitless)\nbest_sequest_Xcorr_score (unitless)\nplus2H_spectra_count (unitless)\nplus3H_spectra_count (unitless)\nplus4H_spectra_count (unitless)\nmedian_retention_time (unitless)\ntotal_precursor_intensity (unitless)\nTIC (unitless)\nabsolute_units_fmol_L (femtomoles per liter (fmol/L))\ntime (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_768259_v1/index.htmlTable https://www.bco-dmo.org/dataset/768259 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_768259_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_768259_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_768259_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_768259_v2 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_768259_v2.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_768259_v2/ public [Ross Sea metaproteome peptide spectral counts] - Ross Sea metaproteome peptide spectral counts searched against Phaeocystis strain transcriptome from net tows during RVIB Nathaniel B. Palmer cruise NBP0601 in December of 2015 (Controls of Ross Sea Algal Community Structure) A net tow metaproteome of a Phaeocystis antarctica bloom in the Ross Sea, mapped here to Phaeocystis metatranscriptomes analyzed by 2D LCMS, in units of peptide spectral counts.\n\ncdm_data_type = Other\nVARIABLES:\nsample_id (unitless)\ncruise_id (unitless)\nstation_id (unitless)\nlatitude_dd (degrees_north)\nlongitude (Longitude_dd, degrees_east)\ndepth (Depth_m, m)\ndate_local (unitless)\ntime_local (unitless)\nminimum_filter_size_microns (microns (um))\nmaximum_filter_size_microns (microns (um))\npeptide_sequence (unitless)\npeptide_start_index (unitless)\npeptide_stop_index (unitless)\nprotein_molecular_weight_kDa (kilo-Daltons (kDa))\nprotein_id (unitless)\nspectral_count_sum (unitless)\nother_protein_ids (unitless)\nbest_protein_id_probability (unitless)\nbest_sequest_DCn_score (unitless)\nbest_sequest_Xcorr_score (unitless)\nplus2H_spectra_count (unitless)\nplus3H_spectra_count (unitless)\nplus4H_spectra_count (unitless)\nmedian_retention_time (unitless)\ntotal_precursor_intensity (unitless)\nTIC (unitless)\nabsolute_units_fmol_L (femtomoles per liter (fmol/L))\ntime (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_768259_v2/index.htmlTable https://www.bco-dmo.org/dataset/768259 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_768259_v2.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_768259_v2&showErrors=false&email= BCO-DMO bcodmo_dataset_768259_v2
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_768237_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_768237_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_768237_v1/ public [Ross Sea metaproteome protein spectral counts] - Ross Sea metaproteome protein spectral counts searched against Phaeocystis strain transcriptome from net tows during RVIB Nathaniel B. Palmer cruise NBP0601 in December of 2015 (Controls of Ross Sea Algal Community Structure) A net tow metaproteome of a Phaeocystis antarctica bloom in the Ross Sea, mapped here to Phaeocystis metatranscriptomes analyzed by 2D LCMS, in units of protein spectral counts.\n\ncdm_data_type = Other\nVARIABLES:\nsample_id (unitless)\ncruise_id (unitless)\nstation_id (unitless)\nlatitude_dd (degrees_north)\nlongitude (Longitude_dd, degrees_east)\ndepth (Depth_m, m)\ndate_local (unitless)\ntime_local (unitless)\nminimum_filter_size_microns (microns (um))\nmaximum_filter_size_microns (microns (um))\nprotein_id (unitless)\nprotein_name (unitless)\nspectral_count (count)\nmolecular_weight_kDa (kilo-Daltons (kDa))\nncbi_id (unitless)\nncbi_name (unitless)\nkegg_id (unitless)\nkegg_description (unitless)\nkegg_pathway (unitless)\npfams_id (unitless)\npfams_name (unitless)\nuniprot_id (unitless)\nenzyme_comm_id (unitless)\nother_identified_proteins (unitless)\ntime (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_768237_v1/index.htmlTable https://www.bco-dmo.org/dataset/768237 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_768237_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_768237_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_768237_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_1000298_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_1000298_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_1000298_v1/ public [ROV Biological Samples Fkt230602 and Fkt231202] - Biological samples and associated imagery collected by ROV SuBastian during the Octopus Odyssey R/V Falkor (too) expeditions Fkt230602 and Fkt231202 in Costa Rica in Jun and Dec 2023 (Octopus Odyssey) This dataset includes metadata and imagery of deep-sea biological specimens collected during the Octopus Odyssey expeditions (Fkt230602 and Fkt231202) aboard the R/V Falkor (too) in the Pampa Submarina region off the Pacific coast of Costa Rica. Sampling was conducted from 3-20 June and 3-14 December 2023 using the ROV SuBastian across six geologic features at depths between 500 and 3180 meters. The specimens, which are archived at the Museum of Zoology at the Universidad de Costa Rica, likely contain new species and new records for the area and contribute to understanding local and regional deep-sea biodiversity. \n\nSampling was carried out under national research permits and guided by a collaborative biology team from the Universidad de Costa Rica, Universidad Nacional de Costa Rica, the Field Museum of Chicago, SpeSeas, and the Bigelow Laboratory for Ocean Sciences. The dataset follows the Darwin Core standard for documenting and reporting the occurrence data associated with each sampling event. \n\nA .zip file is provided in the supplemental documents and contains a set of subfolders, one for each sample, with in situ and laboratory images when available. The primary data file includes a relative path in the “associatedMedia” field, enabling each metadata record to be accurately linked to its corresponding imagery.\n\ncdm_data_type = Other\nVARIABLES:\neventID (unitless)\noccurrenceID (unitless)\nassociatedOccurrences (unitless)\nrecordNumber (unitless)\ninstitutionCode (unitless)\ninstitutionID (unitless)\ncollectionCode (unitless)\ncatalogNumber (unitless)\nassociatedMedia (unitless)\nbasisOfRecord (unitless)\n... (36 more variables)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_1000298_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_1000298_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_1000298_v1/index.htmlTable https://osprey.bco-dmo.org/dataset/1000298 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_1000298_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_1000298_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_1000298_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_1001800_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_1001800_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_1001800_v1/ public [ROV rock and sediment samples] - Rock and sediment samples collected by ROV SuBastian during the Octopus Odyssey expeditions Fkt230602 and Fkt231202 aboard R/V Falkor (too) in Costa Rica (2023) (Octopus Odyssey) This dataset includes metadata of geological samples collected during the Octopus Odyssey expeditions (Fkt230602 and Fkt231202) aboard the R/V Falkor (too) in the Pampa Submarina region off the Pacific coast of Costa Rica. Sampling was conducted from 3-20 June and 3-14 December 2023 using the ROV SuBastian across six geologic features at depths between 500 and 3180 meters. Push core sediment samples were collected and used for various analyses. Most rock samples are curated at the Escuela Centroamericana de Geología at the Universidad de Costa Rica (Central American School of Geology, University of Costa Rica) and at the U.S. Geological Survey Pacific Coastal and Marine Science Center, United States of America. Sampling was carried out under national research permits. The data file includes geological descriptions of sediment and rock samples.\n\ncdm_data_type = Other\nVARIABLES:\ncruiseNumber (unitless)\nsampleNumber (unitless)\nsampleType (unitless)\nsampleCode (unitless)\ndescription (unitless)\ngeologicalDescription (unitless)\ntypeofgeologicalDescription (unitless)\ndive (unitless)\ndiveSite (unitless)\ntime (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\neventDate (unitless)\neventDate2 (unitless)\nlatitude (Decimallatitude, degrees_north)\nlongitude (Decimallongitude, degrees_east)\ndepth (Depth_m, m)\nsampleFinalLocation (unitless)\noccurrenceRemarks (unitless)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_1001800_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_1001800_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_1001800_v1/index.htmlTable https://osprey.bco-dmo.org/dataset/1001800 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_1001800_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_1001800_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_1001800_v1
log in [ROV SuBastian Carbonate Chemistry] - Carbonate chemistry data from water samples collected via ROV aboard Falkor (too) on cruises FKT230602 and FKT231202 in hydrothermally active areas off Costa Rica’s Pacific margin from Jun and Dec 2023 (Octopus Odyssey) This dataset includes data from discrete water samples collected during two Octopus Odyssey expeditions aboard R/V Falkor (too) in June (FKT230602) and December (FKT231202) 2023. The data comprises sampling events conducted predominantly at the bottom, with additional samples collected near the surface at Dorado Outcrop and Pampa Submarina, hydrothermally active areas off Costa Rica's Pacific margin. \n\nThe dataset includes information such as sampler, cruise number, unique consecutive sample number, subsample/sample code, dive number, dive site, sampling coordinates, depth, sampling date/time, temperature (ºC), salinity (g/kg), dissolved inorganic carbon (µmol/kg), and inorganic nutrients (µmol/L), along with associated observational notes. The water samples were collected from 2.5 L Niskin bottles (ROV SuBastian) and in situ physicochemical parameters (temperature, salinity) were measured with CTD. Water samples were analyzed at Centro de Investigación en Ciencias del Mar y Limnología (CIMAR-UCR). The research was conducted by an international team in collaboration with Costa Rican institutions, and the dataset is instrumental in oceanographic studies related to seamount ecosystems and carbonate chemistry.\n\ncdm_data_type = Other\nVARIABLES:\nSampler (unitless)\nCruise_Number (unitless)\nSample_Number (unitless)\nType (unitless)\nSubsample (unitless)\nSample_code (unitless)\nDive_Number (unitless)\nSite_name (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\ndepth (m)\nObservations (unitless)\nResponsible (unitless)\n... (10 more variables)\n BCO-DMO bcodmo_dataset_997114_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_907028_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_907028_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_907028_v1/ public [RR2004 Bottle Data] - CTD-associated variables, bottle salinity measurements, oxygen titrations, nutrient analyses, biogeochemical/biological variables, and DIC/Freon chemistry variables from R/V Roger Revelle cruise RR2004 along the 150W meridian from 30S to 60S (Collaborative Research: Biogeochemical and Physical Conditioning of Sub-Antarctic Mode Water in the Southern Ocean) These data are part of the NSF project \"Collaborative Research: Biogeochemical and Physical Conditioning of Sub-Antarctic Mode Water in the Southern Ocean\". Specifically, these are the discrete bottle data from cruise RR2004 aboard R/V Roger Revelle, which sailed from Honolulu, Hawaii on 26 December 2020 to the Southern Ocean and returned to Honolulu on 23 February 2021. The purpose of the project was to define the processes that condition Sub-Antarctic Mode Water (SAMW) formed at the Sub-Antarctic Front in the Southern Ocean. The cruise track was from 30 degrees South to 60 degrees South along the 150 degrees West meridian as well as an investigation of frontal boundaries and eddies further east (from 45S to 57S by ~145W). Bottle data were collected from CTD casts with tripped Niskin bottles on the CTD Rosette. Trace-metal-clean casts were performed using Niskin-X bottles suspended on Kevlar line and a trace-metal-clean block.  \n\nThe data reported herein fall into several categories, A) CTD-associated variables, B) bottle salinity measurements, C) oxygen titrations and nutrient analyses, biogeochemical/biological variables, and D) DIC/Freon chemistry variables. Regarding the specific data, we first report CTD variables (salinity, temperature, potential temperature, density, dissolved oxygen, sound velocity, pressure,  depth,  conductivity,   SeaBird-probe-derived oxygen concentrations, chlorophyll fluorescence, beam transmittance (660nm; %), backscattering, CTD PAR, and surface PAR reference.    Next, results from bottle samples for salinity, lab oxygen titration, and nutrient concentrations (nitrate, phosphate, silicate, nitrite, and ammonium). The following biogeochemical and biological variables are presented: particulate organic carbon concentration (POC), particulate organic nitrogen (PON), and particulate inorganic carbon (PIC), concentration of detached coccoliths (given as birefringent singlets, doublets, triplets, or quadruplets, when viewed in a compound microscope with polarization optics), total coccolith concentration (the sum of singlets, doublets, triplets or quadruplets), concentration of birefringent plated coccolithophore cells, coccospheres or coccolith aggregates, planar area subtended by detached coccoliths or plated cells, concentration of biogenic silica, concentration of chlorophyll, phaeopigment and their sum. There are a suite of variables from FlowCAM measurements, mostly done on particles greater than 5 micrometers (um) in diameter: Particle size distribution function (PSDF) slope, standard error of PSDF slope, Y-intercept of the PSDF, R^2 of the PDF slope, F statistic of PSDF slope, total cell concentration per milliliter (mL), concentrations (in cells per mL) of small 0-4um diameter cells, 4-12um round cells, 4-12um diameter ovoid cells, dinoflagellates, ciliates, diatoms silicoflagellates, other unidentified cells, followed by percent of total cell concentrations and carbon biomass (using equations of Menden Deuer and Lessard) for the same cell categories. Carbon fixation rates are then presented for: ratio of calcification/photosynthesis, photosynthesis, calcification, standard deviation of photosynthesis and calcification measurements, chlorophyll concentration within incubation bottles, chlorophyll normalized photosynthesis, and calcification. Finally, corrected salinity (based on bottle salinity), corrected SeaBird oxygen values based on lab oxygen titrations, dissolved inorganic carbon (DIC) concentrations, total alkalinity and concentration of CFC12 and CFC11 freons are presented.\n\ncdm_data_type = Other\nVARIABLES:\nSample (unitless)\n... (135 more variables)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_907028_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_907028_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_907028_v1/index.htmlTable https://www.bco-dmo.org/dataset/907028 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_907028_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_907028_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_907028_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_908342_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_908342_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_908342_v1/ public [RR2004 CTD Data] - 1-decibar binned CTD data from 103 stations collected during R/V Roger Revelle cruise RR2004 along the 150W meridian from 30S to 60S (Collaborative Research: Biogeochemical and Physical Conditioning of Sub-Antarctic Mode Water in the Southern Ocean) This dataset includes the processed CTD data from 103 stations collected during R/V Roger Revelle cruise RR2004, which sailed from Honolulu, Hawaii on December 26, 2020 to the Southern Ocean and returned to Honolulu on February 23, 2021. Data have been binned by pressure into 1-decibar bins.\n\ncdm_data_type = Other\nVARIABLES:\nStation (unitless)\ncnv_file_name (unitless)\nShip (unitless)\nLat_Start (degrees_north)\nlongitude (degrees_east)\ntime (Iso_datetime_utc_start, seconds since 1970-01-01T00:00:00Z)\nprDM (decibars (db))\nt090C (degrees Celsius)\nt190C (degrees Celsius)\nc0S_m (Siemens per meter (S/m))\nc1S_m (Siemens per meter (S/m))\nsbeox0V (volts (V))\nflECO_AFL (milligrams per cubic meter (mg/m^3))\nflECO_AFL1 (milligrams per cubic meter (mg/m^3))\nCStarTr0 (percent)\nturbWETbb0 (per meter-stearadian (m^-1/sr))\npar (micromoles photons per square meter per second (umol photons/m^2/sec))\nspar (micromoles photons per square meter per second (umol photons/m^2/sec))\ncpar (percent)\nv5 (volts (V))\nsal00 (PSU)\nsal11 (PSU)\nsigma_e00 (kilograms per cubic meter (kg/m^3))\nsigma_e11 (kilograms per cubic meter (kg/m^3))\nsbeox0ML_L (milliliters per liter (ml/L))\noxsolML_L (milliliters per liter (ml/L))\nflag (unitless)\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_908342_v1/index.htmlTable https://www.bco-dmo.org/dataset/908342 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_908342_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_908342_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_908342_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_933773_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_933773_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_933773_v1/ public [RR2004 Dissolved Trace Metals] - Dissolved concentrations of the trace metals Mn, Cd, Co, Cu, Ni, Zn, and Pb in vertical profile seawater samples from the upper 1,000 meters of the water column collected on R/V Roger Revelle cruise RR2004 in the south Pacific Ocean from Jan-Feb 2021 (Collaborative Research: Biogeochemical and Physical Conditioning of Sub-Antarctic Mode Water in the Southern Ocean) This dataset includes dissolved (<0.4 micrometers) concentrations of the trace metals Mn, Cd, Co, Cu, Ni, Zn, and Pb in vertical profile seawater samples (upper ~1000 meters), collected on cruise RR2004 (on R/V Roger Revelle) in the south Pacific Ocean from 30 degrees South latitude to 60 degrees South along the 150 degrees West meridian. Water was collected using nine 5-liter trace metal Niskin-X bottles, suspended from Kevlar line and triggered to close with Teflon messengers. Pressure depth and temperature were determined using a data logger secured to the deepest bottle. These data are part of the NSF project \"Collaborative Research: Biogeochemical and Physical Conditioning of Sub-Antarctic Mode Water in the Southern Ocean\", which focused on the biological, physical, and chemical surface water properties across the polar and subpolar fronts of the south Pacific Ocean, especially as they related to the phytoplankton communities of coccolithophores and diatoms. Samples were collected by Dr. Pete Morton (Florida State University), Dr. Jule Middleton (MIT/WHOI), Dr. Logan Tegler (MIT/WHOI), and Lauren Hearn (Florida State University). Samples were analyzed by Dr. Pete Morton with assistance from Dr. Salvatore Caprara (University of South Florida-St Petersburg) at the National High Magnetic Field Laboratory.\n\ncdm_data_type = Other\nVARIABLES:\nStation (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\nDate_collected (unitless)\ndepth (m)\nMn (nanomoles per liter (nmol/L))\nMn_SD (nanomoles per liter (nmol/L))\nCd (picomoles per liter (pmol/L))\nCd_SD (picomoles per liter (pmol/L))\nCo (picomoles per liter (pmol/L))\nCo_SD (picomoles per liter (pmol/L))\nCu (nanomoles per liter (nmol/L))\nCu_SD (nanomoles per liter (nmol/L))\nNi (nanomoles per liter (nmol/L))\n... (6 more variables)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_933773_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_933773_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_933773_v1/index.htmlTable https://osprey.bco-dmo.org/dataset/933773 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_933773_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_933773_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_933773_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_943418_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_943418_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_943418_v1/ public [RR2201 Event Log] - Scientific sampling event log from R/V Roger Revelle cruise RR2201 in the Eastern Indian Ocean (Argo Basin) from January to March 2022 (Collaborative Research: Mesoscale variability in nitrogen sources and food-web dynamics supporting larval southern bluefin tuna in the eastern Indian Ocean) This event log contains unique event numbers, locations (latitude, longitude), dates, times, and related information for sampling operations conducted for the BLOOFINZ-IO Project on cruise RR2201 (R/V Roger Revelle) off of NW Australia in January-March 2021. Submitted data for this project will reference event numbers and sampling information in this file, and this file provides the broader context for related samplings that may have been done in temporal or spatial proximity to one another.\n\ncdm_data_type = Other\nVARIABLES:\nMessage_ID (unitless)\nEvent (unitless)\nDate (unitless)\ntime (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\nlatitude (degrees_north)\nlongitude (degrees_east)\nInstrument (unitless)\nAction (unitless)\nTransect_Cycle (unitless)\nStation (unitless)\nCast_Tow (unitless)\nAuthor (unitless)\nComment (unitless)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_943418_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_943418_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_943418_v1/index.htmlTable https://www.bco-dmo.org/dataset/943418 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_943418_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_943418_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_943418_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_969909_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_969909_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_969909_v1/ public [RR2201 Growth and grazing rates of bacteria from flow cytometry] - Bacteria growth and grazing rates based on flow cytometry cell counts from in situ incubated dilution experiments conducted on cruise RR2201 on R/V Roger Revelle from Jan to Feb 2022 in the Argo Basin region off NW Australia (Collaborative Research: Mesoscale variability in nitrogen sources and food-web dynamics supporting larval southern bluefin tuna in the eastern Indian Ocean) This dataset contains growth and grazing rates of bacteria based on flow cytometry cell counts from in situ incubated dilution experiments conducted on cruise RR2201 on R/V Roger Revelle (BLOOFINZ-IO, January-February 2022) in the Argo Basin region off NW Australia.\n\ncdm_data_type = Other\nVARIABLES:\nCruise (unitless)\nEvent (unitless)\ntime (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\nlatitude (degrees_north)\nlongitude (degrees_east)\nCycle_Day (unitless)\nCTD_Cast (unitless)\nExp (unitless)\ndepth (m)\nPro_um (per day (d-1))\nPro_m (per day (d-1))\nHbac_um (per day (d-1))\nHbac_m (per day (d-1))\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_969909_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_969909_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_969909_v1/index.htmlTable https://osprey.bco-dmo.org/dataset/969909 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_969909_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_969909_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_969909_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_964246_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_964246_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_964246_v1/ public [RR2201 MET data] - 1-minute averaged meteorological data from R/V Roger Revelle cruise RR2201 in the Indian Ocean during January to March 2022 (Collaborative Research: Mesoscale variability in nitrogen sources and food-web dynamics supporting larval southern bluefin tuna in the eastern Indian Ocean) This dataset describes the 1-minute averaged meteorological data from the R/V Roger Revelle's Indian Ocean cruise RR2201 in February 2022. The data were taken within the Indonesian Throughflow, the Argo-Rowley Terrace Marine Park on a return trip from Darwin, Australia.\n\nThis project is a US contribution to the 2nd International Indian Ocean Expedition (IIOE-2) that advances understanding of biogeochemical and ecological dynamics in the poorly studied eastern Indian Ocean (IO). This is the first detailed study of nitrogen and carbon cycling in the region linking Pacific and IO waters. The end-to-end study approach highlights connections among physical environmental variability, biogeochemistry, and plankton food webs leading to charismatic and economically valuable fish production.\n\ncdm_data_type = Other\nVARIABLES:\ntime (Datetime, seconds since 1970-01-01T00:00:00Z)\nGT (seconds)\nlatitude (La, degrees_north)\nlongitude (Lo, degrees_east)\nGY (degrees)\nCR (degrees)\nSP (knots)\nAT (degrees Celsius)\nBP (millibars)\nRH (percent)\nRT (degrees Celsius)\nDP (degrees Celsius)\nLW (watts per square meter)\nSW (watts per square meter)\nPA (microEinsteins per second per square meter)\nWS (meters per second)\nWD (degrees)\nTW (meters per second)\n... (7 more variables)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_964246_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_964246_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_964246_v1/index.htmlTable https://osprey.bco-dmo.org/dataset/964246 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_964246_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_964246_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_964246_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_969903_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_969903_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_969903_v1/ public [RR2201 Phytoplankton growth and grazing rates from pigments] - Phytoplankton growth and grazing rates from in situ incubated dilution experiments conducted on cruise RR2201 on R/V Roger Revelle from Jan to Feb 2022 in the Argo Basin region off NW Australia (Collaborative Research: Mesoscale variability in nitrogen sources and food-web dynamics supporting larval southern bluefin tuna in the eastern Indian Ocean) This dataset contains pigment-based rate estimates of phytoplankton growth and microzooplankton grazing from in situ incubated dilution experiments conducted on cruise RR2201 on R/V Roger Revelle (BLOOFINZ-IO, January-February 2022) in the Argo Basin region off NW Australia.\n\ncdm_data_type = Other\nVARIABLES:\nCruise (unitless)\nEvent (unitless)\ntime (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\nlatitude (degrees_north)\nlongitude (degrees_east)\nCycle_Day (unitless)\nCTD_Cast (unitless)\nExp (unitless)\ndepth (m)\nFLChla_um (per day (d-1))\nFLChla_m (per day (d-1))\nDVChla_um (per day (d-1))\nDVChla_m (per day (d-1))\nMVChla_um (per day (d-1))\nMVChla_m (per day (d-1))\nTChla_um (per day (d-1))\nTChla_m (per day (d-1))\nBut_um (per day (d-1))\nBut_m (per day (d-1))\nFuco_um (per day (d-1))\nFuco_m (per day (d-1))\nHex_um (per day (d-1))\nHex_m (per day (d-1))\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_969903_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_969903_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_969903_v1/index.htmlTable https://osprey.bco-dmo.org/dataset/969903 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_969903_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_969903_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_969903_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_969869_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_969869_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_969869_v1/ public [RR2201 Phytoplankton HPLC pigments] - HPLC estimates of phytoplankton pigments from cruise RR2201 on R/V Roger Revelle from Jan to Feb 2022 in the Argo Basin region off NW Australia (Collaborative Research: Mesoscale variability in nitrogen sources and food-web dynamics supporting larval southern bluefin tuna in the eastern Indian Ocean) This dataset contains HPLC estimates of phytoplankton pigments from cruise RR2201 on R/V Roger Revelle (BLOOFINZ-IO, January-February 2022) in the Argo Basin region off NW Australia.\n\ncdm_data_type = Other\nVARIABLES:\nCruise (unitless)\nEvent (unitless)\ntime (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\nlatitude (degrees_north)\nlongitude (degrees_east)\nCycle_Day (unitless)\nCTD_Cast (unitless)\ndepth (m)\nChl_c3 (ng/L)\nChl_c12 (ng/L)\nChlide_a (ng/L)\nPerid (ng/L)\nPhide_a (ng/L)\nBut_fuco (ng/L)\nFuco (ng/L)\nNeo (ng/L)\nPras (ng/L)\nViola (ng/L)\nHex_fuco (ng/L)\nAsta (ng/L)\nDiadino (ng/L)\nAnthera (ng/L)\nAllo (ng/L)\nDiato (ng/L)\nZea (ng/L)\nLut (ng/L)\n... (9 more variables)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_969869_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_969869_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_969869_v1/index.htmlTable https://osprey.bco-dmo.org/dataset/969869 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_969869_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_969869_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_969869_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_924943_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_924943_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_924943_v1/ public [RR2311 Bottle Data] - RR2311 bottle data from R/V Roger Revelle cruise RR2311 in the Eastern Tropical South Pacific from November to December 2023 (Nitrite Oxidation in Oxygen Minimum Zones) This dataset includes the Niskin bottle data collected on R/V Roger Revelle cruise RR2311 in the Eastern Tropical South Pacific, off the coast of Chile and Peru,  from November to December 2023. Data were processed with Seasave V 7.26.7.121.\n\ncdm_data_type = Other\nVARIABLES:\nCast (unitless)\nBottle (unitless)\ntime (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\nMonth (unitless)\nDay (unitless)\nYear (unitless)\nTime (unitless)\nLatitude (degrees_north)\nlongitude (degrees_east)\ndepth (m)\nSigmaTheta (kilograms per cubic meter (kg/m3))\nSalinity (PSU)\nTemperature (degrees Celsius)\nChlFlour (milligrams per cubic meter (mg/m3))\nOxygen (micromoles per liter (umol/l))\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_924943_v1/index.htmlTable https://www.bco-dmo.org/dataset/924943 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_924943_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_924943_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_924943_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_925001_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_925001_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_925001_v1/ public [RR2311 Event Log] - Event log of all over the side deployments on R/V Roger Revelle cruise RR2311 in the Eastern Tropical South Pacific from November to December 2023 (Nitrite Oxidation in Oxygen Minimum Zones) This dataset is an event log of all over the side deployments on R/V Roger Revelle cruise RR2311 in the Eastern Tropical South Pacific, off the coast of Chile and Peru, from November to December 2023.\n\ncdm_data_type = Other\nVARIABLES:\nDate (unitless)\nLocal_Time_in_water (unitless)\nISO_DateTime_Local (unitles)\nUTC (unitless)\ntime (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\nEvent (unitless)\nStation (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\nAir_Temp (degrees Celsius)\nSurface_Temp (degrees Celsius)\nRosette (unitless)\nLog_Taker (unitless)\nEvents_and_Notes (unitless)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_925001_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_925001_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_925001_v1/index.htmlTable https://www.bco-dmo.org/dataset/925001 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_925001_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_925001_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_925001_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_931516_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_931516_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_931516_v1/ public [RR2311 NH4 and NO2] - Ammonium (NH4) and Nitrite (NO2) concentrations from R/V Roger Revelle cruise RR2311 in the Eastern Tropical South Pacific from November to December 2023 (Nitrite Oxidation in Oxygen Minimum Zones) Water samples were collected as part of a 32-day cruise in the Eastern Tropical South Pacific, aiming to study nitrification in this oxygen minimum region of the ocean. In the Event Log for RR2311, transect stations are designated \"T\" and process stations are designated \"PS\". Nutrients were collected on the first cast upon arrival at a process station, and in one case on the last day, of a 2-5 day station occupation.\n\nAmmonium concentrations were initially planned to be measured in high-resolution depth profiles at each major process and transect station. However, due to the exceedingly low concentrations detected by the shipboard method, only the data from the first process station were included, with remaining samples frozen for later analysis ashore. Ammonium concentration was measured manually using fluorometric methods (Holmes et al. 1999), with water collected using Niskin bottles. Five ml volumes were analyzed immediately upon retrieval without filtration.\n\nHigh-resolution profiles were also obtained for nitrite measurements at both process and transect stations. Nitrite concentration was determined manually using colorimetric methods (Hansen and Koroleff 1999) on duplicate samples, measured immediately after collection without filtration.\n\ncdm_data_type = Other\nVARIABLES:\ntime (Ctd_iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\nDate_Local (unitless)\nlatitude (Ctd_latitude, degrees_north)\nLat_Deg (degrees)\nLat_Min (minutes)\nlongitude (Ctd_longitude, degrees_east)\nLong_Deg (degrees)\nLong_Min (minutes)\nStation (unitless)\nCast_Number (unitless)\nNiskin_Bottle (unitless)\ndepth (Ctd_depth, m)\nTarget_Depth (m)\nNitrite (micromolar (uM))\nNH4 (micromolar (uM))\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_931516_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_931516_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_931516_v1/index.htmlTable https://www.bco-dmo.org/dataset/931516 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_931516_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_931516_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_931516_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_897359_v1 https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_897359_v1/ public [Ruegeria pomeroyi DOP hydrolysis rates] - Dissolved organic phosphorus (DOP) hydrolysis rates from Ruegeria pomeroyi laboratory cultures (Collaborative Research: Assessing the role of compound-specific phosphorus hydrolase transformations in the marine phosphorus cycle) Dissolved organic phosphorus (DOP) hydrolysis rates from marine bacterium Ruegeria pomeroyi laboratory cultures.\n\nThese data were collected as part of a study of \"Dissolved organic phosphorus utilization by the marine bacterium Ruegeria pomeroyi DSS-3 reveals chain length-dependent polyphosphate degradation\" (Adams et al., 2022).\n\nStudy abstract:\nDissolved organic phosphorus (DOP) is a critical nutritional resource for marine microbial communities. However, the relative bioavailability of different types of DOP, such as phosphomonoesters (P-O-C) and phosphoanhydrides (P-O-P), is poorly understood. Here we assess the utilization of these P sources by a representative bacterial copiotroph, Ruegeria pomeroyi DSS-3. All DOP sources supported equivalent growth by R. pomeroyi, and all DOP hydrolysis rates were upregulated under phosphorus depletion (-P). A long-chain polyphosphate (45polyP) showed the lowest hydrolysis rate of all DOP substrates tested, including tripolyphosphate (3polyP). Yet the upregulation of 45polyP hydrolysis under -P was greater than any other substrate analyzed. Proteomics revealed three common P acquisition enzymes potentially involved in polyphosphate utilization, including two alkaline phosphatases, PhoD and PhoX, and one 5'-nucleotidase (5'-NT). Results from DOP substrate competition experiments show that these enzymes likely have broad substrate specificities, including chain length-dependent reactivity toward polyphosphate. These results confirm that DOP, including polyP, are bioavailable nutritional P sources for R. pomeroyi, and possibly other marine heterotrophic bacteria. Furthermore, the chain-length dependent mechanisms, rates and regulation of polyP hydrolysis suggest that these processes may influence the composition of DOP and the overall recycling of nutrients within marine dissolved organic matter.\n\ncdm_data_type = Other\nVARIABLES:\nMedia_Type (unitless)\nGrowth_Phase (unitless)\nSample_Type (unitless)\nDOP_Substrate (unitless)\nHydrolysis_Rate (umol Pi L-1 hr-1)\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_897359_v1/index.htmlTable https://www.bco-dmo.org/dataset/897359 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_897359_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_897359_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_897359_v1
log in [RV Falkor 160115 McLane Pump Log] - R/V Falkor 160115 McLane pump log from the ProteOMZ expedition in the Central Pacific during 2016 (ProteOMZ project) (The ProteOMZ Expedition: Investigating Life Without Oxygen in the Pacific Ocean) R/V Falkor 160115 McLane pump log from the ProteOMZ expedition in the Central Pacific during 2016.\n\ncdm_data_type = Other\nVARIABLES:\ncruise (unitless)\nstation (unitless)\ndate (unitless)\ntime_unitless (Time, unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\ncast (unitless)\npump_serial_num (unitless)\npump_num (unitless)\nfilter_stand (unitless)\ndepth (m)\npump_start_time (unitless)\nset_pump_time (minutes)\nGFF_flow_meter_volume (liters)\nsupor_flow_meter_volume (liters)\ntotal_start (liters)\nadded_total_of_supor_and_GFF (liters)\ntotal_end (liters)\ndifference (liters)\npump_msg (unitless)\nnotes (unitless)\ntime (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\n BCO-DMO bcodmo_dataset_708495_v3
log in [Saanich Inlet environmental data] - Saanich Inlet field and laboratory methods related to environmental data acquired aboard the R/V John Strickland during two cruises in August, 2021 and June, 2022 (Collaborative Research: Nitrous oxide reduction in oxygen minimum zones: an understudied but critical loss term in ocean greenhouse gas cycling) These data include oceanographic, chemical, and biogeochemical rate measurements relating to oxygen, nitrogen, and sulfur species from Saanich Inlet, British Columbia, Canada, spanning lower oxycline and anoxic depths in the basin. Data and samples were collected aboard the R/V John Strickland during two cruises in August, 2021 and June, 2022. Data from 2021 capture the dynamics of an oxygen renewal event of the deep anoxic basin, which occurred between the second and third sampling days. Data from 2022 were collected during stable, stratified conditions with complete anoxia in the deep basin throughout the sampling period.\n\ncdm_data_type = Other\nVARIABLES:\nEvent (unitless)\nStation (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\nSampling_Date (unitless)\nCast_Start_Time (unitless)\nTidal_height (meters (m))\ndepth (Sample_depth, m)\nDepth_Code (unitless)\nCTD_Temperature (degrees Celsius)\nCTD_Salinity (practical salinity units)\nCTD_oxygen (micromol per liter (µmol_L-1))\nHighSens_oxygen (micromol per liter (µmol_L-1))\nWinkler_O2 (micromol per liter (µmol_L-1))\nStDev_Winkler_O2 (micromol per liter (µmol_L-1))\nNitrate_Nitrite (micromol per liter (µmol_L-1))\nStDev_Nitrate_Nitrite (micromol per liter (µmol_L-1))\nNitrite (micromol per liter (µmol_L-1))\nStDev_Nitrite (micromol per liter (µmol_L-1))\nAmmonium (micromol per liter (µmol_L-1))\nStDev_Ammonium (micromol per liter (µmol_L-1))\nSulfide_umol (micromol per liter (µmol_L-1))\nNitrous_Oxide (micromol per liter (µmol_L-1))\nStDev_Nitrous_Oxide (micromol per liter (µmol_L-1))\n BCO-DMO bcodmo_dataset_962616_v1
log in [Saanich Inlet Rate data] - Saanich Inlet field and laboratory methods related to experimental rate data acquired on board of the R/V John Strickland during two cruises in August, 2021 and June, 2022 (Collaborative Research: Nitrous oxide reduction in oxygen minimum zones: an understudied but critical loss term in ocean greenhouse gas cycling) These data include oceanographic, chemical, and biogeochemical rate measurements relating to oxygen, nitrogen, and sulfur species from Saanich Inlet, British Columbia, Canada, spanning lower oxycline and anoxic depths in the basin. Data and samples were collected aboard the R/V John Strickland during two cruises in August, 2021 and June, 2022. Data from 2021 capture the dynamics of an oxygen renewal event of the deep anoxic basin, which occurred between the second and third sampling days. Data from 2022 were collected during stable, stratified conditions with complete anoxia in the deep basin throughout the sampling period. \n\nRate measurements are from 15N-labeled tracer experiments tracking the production and consumption of nitrous oxide (N2O), a potent greenhouse gas that is produced under hypoxic and anoxic conditions. These data evaluate the extent to which consumption of N2O in the deep basin balances out is production in overlying waters and were collected by Dr. Sheryl Murdock (Arizona State University) and Dr. Laura Bristow (University of Gothenburg).\n\ncdm_data_type = Other\nVARIABLES:\nEvent (unitless)\nStation (unitless)\nSampling_Date (unitless)\nCast_Start_Time (unitless)\nTidal_height (meters (m))\nlatitude (degrees_north)\nlongitude (degrees_east)\ndepth (Sample_depth, m)\nDepth_Code (unitless)\nNH4_N2Oprod_Rates (nanomoles per liter per day)\nNH4_N2Oprod_SE (nanomoles per liter per day)\nNO2_N2Oprod_Rates (nanomoles per liter per day)\nNO2_N2Oprod_SE (nanomoles per liter per day)\nNO3_N2Oprod_Rates (nanomoles per liter per day)\nNO3_N2Oprod_SE (nanomoles per liter per day)\n... (13 more variables)\n BCO-DMO bcodmo_dataset_962576_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_999321_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_999321_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_999321_v1/ public [SAG AT50-08 Data] - Genomic data collected from R/V Atlantis cruise AT50-08 in the Eastern Tropical North Pacific during February-March 2023 (Collaborative Research: Key Microbial Processes in Oxygen Minimum Zones: From In Situ Community Rate Measurements to Single Cells) This dataset corresponds to the raw sequences of the single-cell amplified genomes (SAGs) collected for the MicroPro project in the Eastern Tropical North Pacific oxygen minimum zone in February and March of 2023 aboard R/V Atlantis on cruise AT50-08B. It includes genome identifiers and associated metadata (e.g., sample IDs, collection context) and links each genome to its corresponding accession in the National Center for Biotechnology Information's Short Read Archive (NCBI SRA).\n\ncdm_data_type = Other\nVARIABLES:\nBioProject (unitless)\nBioSample (unitless)\nSample (unitless)\nSRA_Run (unitless)\nSRA_Experiment (unitless)\ndepth (m)\nlatitude (degrees_north)\nlongitude (degrees_east)\nDate (unitless)\nCTD_cast (unitless)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_999321_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_999321_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_999321_v1/index.htmlTable https://osprey.bco-dmo.org/dataset/999321 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_999321_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_999321_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_999321_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_998887_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_998887_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_998887_v1/ public [SAGs from the Pacific Ocean OMZ] - Single-cell amplified genomes (SAGs) collected during CTD casts in the Eastern Tropical Pacific Ocean on R/V Atlantis cruise AT50-08 during February-March 2023 (Collaborative Research: Microdiversity drives ecosystem function: SAR11 bacteria as models for oceanic nitrogen loss) This dataset describes assembled genomes of single-cell amplified genomes (SAGs) used in Zhao et al., ISME 2025. Water samples were collected during conductivity–temperature–depth (CTD) casts from an oxygen minimum zone in the Eastern Tropical Pacific Ocean, where the SAR11 make up ~20% of the total microbial community, during the R/V Atlantis cruise AT50-08. Sorting was performed on 4 April 2023 (within 2 months from the date the first sample was collected) and SAGs were generated with the modified genomic DNA amplification technique, WGA-Y, which enables a substantially improved average genome recovery from single cells (serviceS-202). In total, 105 SAGs with Cp values<3h were randomly selected for sequencing. Genome assembly and draft annotation were performed by Single Cell Genomics Facility (SCGC), Maine, USA as described in the center's webpage https://scgc.bigelow.org/capabilities/service-description/ and in the Zhao et al., paper. The single-cell amplified genomes are available in the National Center for Biotechnology Information (NCBI) under BioProject number PRJNA1124867.\n\ncdm_data_type = Other\nVARIABLES:\nSAG_identifier (unitless)\nStation (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\ndepth (m)\nCollection_date (unitless)\nGenome (unitless)\nClade (unitless)\nCompleteness (ranging from 0 to 100%)\nContamination (ranging from 0 to 100%)\nStrain_heterogeneity (ranging from 0 to 100%)\nExperiment_Accession (unitless)\nStudy_Accession (unitless)\nSample_Accession (unitless)\nSAG_ID (unitless)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_998887_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_998887_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_998887_v1/index.htmlTable https://osprey.bco-dmo.org/dataset/998887 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_998887_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_998887_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_998887_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_945362_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_945362_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_945362_v1/ public [Salinity data logger Delaware River 2021] - Salinity data collected from near-bottom HOBO logger placed in oyster beds in the Delaware Bay Apr 2021 to Nov 2021 (SEGO project) (Collaborative Research: Spatial analysis of genetic differences in salinity tolerance resulting from rapid natural selection in estuarine oysters) Salinity data was collected at three stations (Hope Creek, Cohansey, and New Beds) in the Delaware River from May to November, 2021 as part of the Selection along Estuarine Gradients in Oysters (SEGO) project. Data loggers were suspended near-bottom and swapped out monthly to provide a timeseries of near-bottom salinity at the three stations. Dr. Daphne Munroe led the collection of this data on the research cruise conducted by Rutgers University on the R/V Bivalve. This dataset was curated by graduate student Archi Howlader who used it to validate empirical model predictions of salinity at these stations.\n\ncdm_data_type = Other\nVARIABLES:\ntime (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\nStation (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\nConductivity (microsiemens per centimeter (uS/cm))\nTemperature (degrees Celsius)\nSalinity (psu)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_945362_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_945362_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_945362_v1/index.htmlTable https://www.bco-dmo.org/dataset/945362 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_945362_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_945362_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_945362_v1
log in [Salp and pteropod associated microorganisms] - Salp and pteropod associated microorganisms from the  Western Edge of the Gulf Stream sampled in September 2019. (Collaborative Research: Comparative feeding by gelatinous grazers on microbial prey) Microbial mortality impacts the structure of food webs, carbon flow, and the interactions that create dynamic patterns of abundance across gradients in space and time in diverse ecosystems. In the oceans, estimates of microbial mortality by viruses, protists, and small zooplankton do not account fully for observations of loss, suggesting the existence of underappreciated mortality sources. We examined how ubiquitous mucous mesh feeders (i.e. gelatinous zooplankton) could contribute to microbial mortality in the open ocean. We coupled capture of live animals by blue-water diving to sequence-based approaches to measure the enrichment and selectivity of feeding by two coexisting mucous grazer taxa (pteropods and salps) on numerically dominant marine prokaryotes. We show that mucous mesh grazers consume a variety of marine prokaryotes and select between coexisting lineages and similar cell sizes. We show that Prochlorococcus may evade filtration more than other cells and that planktonic archaea are consumed by macrozooplanktonic grazers. Discovery of these feeding relationships identifies a new source of mortality for Earth's dominant marine microbes and alters our understanding of how top-down processes shape microbial community and function.\n\ncdm_data_type = Other\nVARIABLES:\nbioproject_accession (unitless)\nbiosample_accession (unitless)\nmessage (unitless)\nsample_name (unitless)\nsample_title (unitless)\norganism (unitless)\ncollection_date (unitless)\ndepth_f (Depth, feet)\nenv_broad_scale (unitless)\nenv_local_scale (unitless)\nenv_medium (unitless)\ngeo_loc_name (unitless)\nlatitude (Sampling_lat, degrees_north)\nlongitude (Sampling_lon, degrees_east)\n... (15 more variables)\n BCO-DMO bcodmo_dataset_926841_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_995312_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_995312_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_995312_v1/ public [SALT larval geochemical fingerprints] - Shell trace elemental data (geochemical fingerprints) from larval samples collected during cruises AT42-24, AT50-04, and TN391 in the Gulf of Mexico and Northwestern Atlantic in 2020, 2021, and 2022 (Collaborative Research: dispersal depth and the transport of deep-sea, methane-seep larvae around a biogeographic barrier) Larval dispersal drives metapopulation connectivity, a key metric of population resilience to disturbance. Deep-sea larval disperal remains poorly understood due to the limited applicability of nearshore approaches such as larval rearing in-situ. Here, we used laser ablation spectrometry (Jackson School of Geosciences at the University of Texas at Austin) and multivariate statistical analyses (i.e., PERMANOVA and CAP) to quantify larval shell trace elemental fingerprints for deep-sea methane seep mussels Gigantidas childressi and Bathymodiolus heckerae to infer spatiotemporal mixing of larval population pools in the Gulf of Mexico and Western Atlantic Margin. Larvae were collected during R/V Atlantis cruises AT42-24 (Spring 2020) and AT50-04 (Fall 2022), and R/V Thomas G. Thompson  cruise TN-391 (Summer 2021). We analysed variation in fingerprints of 366 larvae among depths (500-3,000m), seven seep sites, and three sampling years (spawning periods). Fingerprints differed significantly among depths across spawning periods, among sites within spawning periods, and among spawning periods themselves. Results may reflect divergence in sources of organic matter during dispersal due to shifts in dispersal trajectories or water mass environmental chemistry over time. Additionally, results indicate that larvae may mix during early dispersal (i.e., during formation of the prodissoconch I shell growth region) and become more isolated by later dispersal (i.e., formation of prodissoconch II). Overall, over timescales of only a few years, deep-sea mussel larval pools may be subtly spatiotemporally isolated, which may limit population resilience to natural and anthropogenic disturbance.\n\ncdm_data_type = Other\nVARIABLES:\nYearSampled (unitless)\nDate (unitless)\nCruise (unitless)\nVehicle (unitless)\nDive_Number (unitless)\ndepth (m)\nSite (unitless)\nSite_Name (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\n... (24 more variables)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_995312_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_995312_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_995312_v1/index.htmlTable https://osprey.bco-dmo.org/dataset/995312 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_995312_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_995312_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_995312_v1

 
ERDDAP, Version 2.22
Disclaimers | Privacy Policy | Contact