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log in [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 BCO-DMO bcodmo_dataset_953999_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_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_888772_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_888772_v1/ 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 (meters (m))\nSTATION_TYPE (unitless)\nDATE (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\nAL27_TPL_CONC_BOTTLE (nanomolar (nM))\nAL27_TPL_FLAG_BOTTLE (unitless)\nP31_TPL_CONC_BOTTLE (nanomolar (nM))\nP31_TPL_FLAG_BOTTLE (unitless)\nTI47_TPL_CONC_BOTTLE (nanomolar (nM))\nTI47_TPL_FLAG_BOTTLE (unitless)\nV51_TPL_CONC_BOTTLE (nanomolar (nM))\nV51_TPL_FLAG_BOTTLE (unitless)\nMN55_TPL_CONC_BOTTLE (nanomolar (nM))\n... (47 more variables)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_888772_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_888772_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_888772_v1/index.htmlTable https://www.bco-dmo.org/dataset/888772 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_888772_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_888772_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_888772_v1
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/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
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
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_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
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
log in [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 BCO-DMO bcodmo_dataset_947753_v1
log in [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 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
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
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 [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 [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_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_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
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
log in [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 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_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
log in [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 BCO-DMO bcodmo_dataset_937008_v1
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_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_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 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 BCO-DMO bcodmo_dataset_3918_v9
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
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 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 BCO-DMO bcodmo_dataset_3782_v7
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 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 BCO-DMO bcodmo_dataset_893521_v6
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 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 BCO-DMO bcodmo_dataset_893521_v7
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 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 BCO-DMO bcodmo_dataset_893182_v4
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 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 BCO-DMO bcodmo_dataset_893182_v5
log in [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 BCO-DMO bcodmo_dataset_894099_v4
log in [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 BCO-DMO bcodmo_dataset_894099_v5
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_881861_v5 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_881861_v5.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_881861_v5/ public [BATS zooplankton biomass] - Zooplankton biomass measured from net tows conducted during ongoing monthly cruises, from April 1994 to June 2024, 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 June 2024, 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_v5_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_881861_v5_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_881861_v5/index.htmlTable https://www.bco-dmo.org/dataset/881861 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_881861_v5.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_881861_v5&showErrors=false&email= BCO-DMO bcodmo_dataset_881861_v5
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
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_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_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_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 [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_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_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 [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
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
log in [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 BCO-DMO bcodmo_dataset_939210_v9
log in [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 BCO-DMO bcodmo_dataset_926534_v6
log in [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 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_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
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_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_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_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
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_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 [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 BCO-DMO bcodmo_dataset_929764_v1
log in [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 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_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_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_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_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
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
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
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 [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_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)\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
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 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 BCO-DMO bcodmo_dataset_860014_v9
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_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_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
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 June 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 (units)\ntime_local (Time, units)\ntime (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\nSite (units)\nLatitude (degrees_north)\nlongitude (degrees_east)\nMax_Depth (units)\nTemp (degrees Celsius)\nSalinity (PSU (practical salinity units))\nTurbidity (NTU (nephelometric turbidity units))\nChlorophyll (milligrams per liter (mg/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 [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
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_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 [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
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_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_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_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_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_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
log in [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... (71 more variables)\n BCO-DMO bcodmo_dataset_947784_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/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_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 [Epifluorescence Microscopy Cell Size and Biomass] -  (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)\nParticle_Number (unitless)\nFilter_Pore_Size (unknown)\nVolume_Filtered (mL)\nDepth (meters)\nlatitude (degrees_north)\nlongitude (Long, degrees_east)\nDate (unitless)\nArea (µm)\nWidth (µm)\nFeret_Length (µm)\nConversion_Ratio (unitless)\nCalculated_Width (µm)\n... (5 more variables)\n BCO-DMO bcodmo_dataset_905060_v1
log in [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)\nLat (degrees_north)\nlongitude (degrees_east)\nDate (unitless)\nAbundance_025_to_05 (microns (µm))\nAbundance_05_to_1 (microns (µm))\nAbundance_1_to_2 (microns (µm))\nAbundance_2_to_4 (microns (µm))\nAbundance_4_to_8 (microns (µm))\nAbundance_8_to_16 (microns (µm))\nAbundance_16_to_32 (microns (µm))\nAbundance_32_to_64 (microns (µm))\nAbundance_64_to_128 (microns (µm))\n... (17 more variables)\n 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_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_948735_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_948735_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_948735_v1/ public [ETNP 2017 Trap fluxes and 13C] - Sinking Organic Particle fluxes and stable C isotopes (collected with sediment traps) from the Eastern Tropical North Pacific on the R/V Sikuliaq cruise SKQ201617S in January 2017 (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 at St P2  (16.5ºN 107ºW) in the Eastern Tropical North Pacific Oxygen Deficient Zone in January 2017. These traps were deployed from the R/V Sikuliaq on cruise SKQ201617S. Trap depths ranged between 69 m and 965 m, and trap deployments ranged between 21 and 91 hours with deeper traps deployed for longer.  The Oxygen Deficient Zone extended from 105 m to 820 m at this station.  Two types of traps were deployed: 1) in shallow waters (150 m), net traps (1.24 m2 opening area) were used. For both 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 and sent to the University of Washington Isolab facility in the Department of Earth and Space Sciences (Seattle, WA) for C and N analysis.\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\nMegan Duffy, Jacquelyn Neibauer, and Allan Devol and Rick Keil from the University of Washington deployed these sediment trap systems. Clara Fuchsman and Megan Duffy analyzed the data.\n\ncdm_data_type = Other\nVARIABLES:\nStation (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\n... (11 more variables)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_948735_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_948735_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_948735_v1/index.htmlTable https://www.bco-dmo.org/dataset/948735 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_948735_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_948735_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_948735_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
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 [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_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 [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
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_916418_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_916418_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_916418_v1/ 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)\nStation_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/info/bcodmo_dataset_916418_v1/index.htmlTable https://www.bco-dmo.org/dataset/916418 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_916418_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_916418_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_916418_v1
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 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
log in [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 BCO-DMO bcodmo_dataset_905393_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
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
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_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_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_904895_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_904895_v1/ 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 (meters (m))\nDepthDescr (unitless)\nParticleSampleID (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_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_904895_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_904895_v1/index.htmlTable https://www.bco-dmo.org/dataset/904895 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_904895_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_904895_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_904895_v1
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_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_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_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_919783_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_919783_v1/ 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_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_919783_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_919783_v1/index.htmlTable https://www.bco-dmo.org/dataset/919783 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_919783_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_919783_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_919783_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_920078_v2 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_920078_v2.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_920078_v2/ 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_v2_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_920078_v2_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_920078_v2/index.htmlTable https://www.bco-dmo.org/dataset/920078 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_920078_v2.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_920078_v2&showErrors=false&email= BCO-DMO bcodmo_dataset_920078_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_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_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
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
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_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_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
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_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_927550_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_927550_v1/ 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_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_927550_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_927550_v1/index.htmlTable https://www.bco-dmo.org/dataset/927550 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_927550_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_927550_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_927550_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_933861_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_933861_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_933861_v1/ 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)\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_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_933861_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_933861_v1/index.htmlTable https://www.bco-dmo.org/dataset/933861 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_933861_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_933861_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_933861_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 [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)\nlat (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 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
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_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
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
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 [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_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 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_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
log in [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 BCO-DMO bcodmo_dataset_893615_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_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 [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
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
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
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
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
log in [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 BCO-DMO bcodmo_dataset_942686_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_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_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_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
log in [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 BCO-DMO bcodmo_dataset_953492_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_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 [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_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
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
log in [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 BCO-DMO bcodmo_dataset_939782_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
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 [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_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_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
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_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
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_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_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_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_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_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 [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_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_v3 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_659874_v3.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_659874_v3/ public [Mumford Cove Monitoring Data] - Temperature, pH, DO, and salinity data from Mumford Cove, Connecticut, USA from 2015-2022 (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)\nlat (degrees_north)\nlon (degrees_east)\nserial_number (unitless)\nISO_DateTime_EST (unitless)\ntemp (degrees Celsius)\npH (pH units)\ncond (microsiemens per centimeter (µS/cm))\nHDO_mgl (milligrams per liter (mg/L))\nHDO_percentSat (percent)\nsalinity (PSS)\ndepth (m)\nISO_DateTime_UTC (unitless)\ncomments (unitless)\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_659874_v3/index.htmlTable https://www.bco-dmo.org/dataset/659874 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_659874_v3.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_659874_v3&showErrors=false&email= BCO-DMO bcodmo_dataset_659874_v3
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
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_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_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_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
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
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 [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_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_904417_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_904417_v1/ public [Northern Gulf of Mexico pore water constituents Fall 2020] - Depth profiles of pore water constituents 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 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). These pore water data were obtained from sediment cores 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 cores were processed within a few hours after collection. The field sampling was conducted during R/V Savannah cruise SAV-20-07.\n\nThe pore waters were first extracted by slicing sediment cores of < 25 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. DIC 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., 2023 In preparation). \"nd\" in the spreadsheet is provided when samples were not analyzed for these species (\"nd\" = not determined).\n\ncdm_data_type = Other\nVARIABLES:\nYear (unitless)\nMonth (unitless)\nDay (unitless)\nDate (unitless)\n... (26 more variables)\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_904417_v1/index.htmlTable https://www.bco-dmo.org/dataset/904417 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_904417_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_904417_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_904417_v1
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_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_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_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://www.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_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_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
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
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
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
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_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
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
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_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_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
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_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_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 [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
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
log in [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 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
log in [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 BCO-DMO bcodmo_dataset_942763_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
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
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
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_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)\nlat (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)\nlat (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
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
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
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_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: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)\nlat (degrees_north)\nlongitude (degrees_east)\nDate_collected (unitless)\nDate_analyzed (unitless)\nTissue (unitless)\nPrimary_check (unitless)\nRNA_DNA (unitless)\n 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_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_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_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_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
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_880760_v2 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_880760_v2.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_880760_v2/ public [Sample Stations for COP Cruises 2021-2022] - Sample stations for the Neotrypaea COP (Community, Oxygen, & Productivity) Effects ground-truth cruises in 2021 and 2022 (Environmental consequences of expanded recruitment of an ecosystem engineer on a hypoxia-influenced continental shelf) Benthic invertebrate communities, that the highly productive US West Coast fishery species and marine mammals rely on for food, are being increasingly impacted by low oxygen conditions. This project addresses the potential ecological consequences of a new member to these benthic communities, the ghost shrimp Neotrypaea. In estuaries, Neotrypaea continuously rework the sediment via their burrowing activities. Their high abundances and geological effects make them important in mitigating impacts of nutrient run-off (natural and human-induced), which can exacerbate low oxygen conditions. Neotrypaea are also considered threats to the oyster industry because of their sediment-excavating activities. An expansion of their distribution beyond estuaries may have additional consequences for the Dungeness crab fishery (regionally valued at $33-74M/y) as Neotrypaea sp. are both competitors with juveniles and prey for larger Dungeness crab. This project will ground-truth predictions of Neotrypaea's new offshore distribution with video and sample collections. Using box core samples we will document differences in potentially interacting benthic communities within the Neotrypaea beds as compared to areas not colonized by the shrimp. These new data are needed to determine whether the existing species composition is altered by the recruitment of Neotrypaea. We will estimate the shrimp's contribution to benthic oxygen and nutrient fluxes by using aquatic eddy covariance (EC) methods and core incubations in shelf areas with and without abundant shrimp. This dataset includes the sampling locations for the model ground-truthing/community changes (box core collections) and the EC lander deployment and slow core collections. Coastal waters along the OR-WA shelf are subject to growing human related management, extractive, cultural, and recreational activities. This research is particularly needed for commercial fisheries stakeholders in decisions regarding ocean-use planning and be valuable to oyster growers concerned over burrowing shrimp pest management.\n\ncdm_data_type = Other\nVARIABLES:\nSample (unitless)\nSample_Date (unitless)\nProject (unitless)\nVessel (unitless)\nCruiseID (unitless)\nSite (unitless)\n... (13 more variables)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_880760_v2_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_880760_v2_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_880760_v2/index.htmlTable https://www.bco-dmo.org/dataset/880760 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_880760_v2.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_880760_v2&showErrors=false&email= BCO-DMO bcodmo_dataset_880760_v2
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_911441_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_911441_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_911441_v1/ public [Samples Sequenced for Metabarcoding] - Cyanobacterial and diatom samples collecteced between April and September 2022, and sequenced for metabarcodig of 16S and rbcL. (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 sample information for each of the samples collected for metabarcoding of 16S and rbcL to describe Cyanobacterial and diatom diversity, respectively, in three sites in Alpena, Michigan, one site in Monroe, Michigan, and one site in Palm Coast, Florida. Sample data are for sequenced samples and include their associated water parameter information that was collected simultaneously.\nEach of these sites are 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, and further explored the bacterial communities as well. Our results provide novel information on microbial mat community composition, and present evidence that microbial biogeography influences these unique communities.\n\ncdm_data_type = Other\nVARIABLES:\nSampleID (unitless)\nCollection_ID (unitless)\nCollection_Date (unitless)\nLocation (unitless)\nLat (degrees_north)\nlongitude (Long, degrees_east)\nSample_Type (unitless)\nTemp (Celsius (°C))\nCond (Microsiemens / centimeter (μS/cm))\nTDS (Grams/liter (g/L))\npH (unitless)\nNTU (Nephelometric Turbidity Units (NTU))\nODO (Percentage saturation)\nODO_mg_L (Milligrams/liter (mg/L))\nCl_mg_L (Milligrams/liter (mg/L))\nSO4_mg_L (Milligrams/liter (mg/L))\nNO3_N_mg_L (Milligrams/liter (mg/L))\nSi_mg_L (Milligrams/liter (mg/L))\nSRP_P_mg_L (Milligrams/liter (mg/L))\nNCBI_BioProject (unitless)\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_911441_v1/index.htmlTable https://www.bco-dmo.org/dataset/911441 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_911441_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_911441_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_911441_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_931469_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_931469_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_931469_v1/ public [Sanger Sequencing Analysis of Potexvirus PCR Products (Potex-5 and Potex-2RC)] - Sanger Sequencing Analysis of Potexvirus PCR Products (Potex-5 and Potex-2RC) collected during West Florida Coastal Surveys of Seagrass from Feb 2022 to Oct 2023 (Collaborative Research: VIDA Seagrass: Viral Infection Dynamics Among Seagrass) This dataset includes Sanger sequence references for 40 Thalassia testudinum samples collected during systematic seagrass surveys from multiple Florida sites, including Terra Ceia Aquatic Preserve, Tampa Bay seagrass sites S1T5 and S3T8 (Lassing Park), Panacea located in the Florida Panhandle, and Florida Keys sites including Bush Key, Garden Key, Marquesas Key, and Key West.\nWe investigated potexvirus distribution in seagrasses using a degenerate reverse transcription polymerase chain reaction (RT-PCR) assay originally designed to capture potexvirus diversity in terrestrial plants. The assay, which implements Potex-5 and Potex-2RC primers, successfully amplified a 584 nt RNA-dependent RNA polymerase (RdRp) fragment from TVX-infected seagrasses. Following validation, we screened 74 opportunistically collected, apparently healthy seagrass samples for potexviruses using this RT-PCR assay.\nPotexvirus PCR products were successfully generated from Thalassia testudinum samples. Sequences from these products are deposited in NCBI GenBank under the accession numbers OR827692-OR827705, OR854648, OR863396, OR879052-OR879056, and PP430548-PP430571.\n\ncdm_data_type = Other\nVARIABLES:\nsample (unitless)\nregion (unitless)\nsite (unitless)\ndate (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\nsample_host (unitless)\nAphia_id (unitless)\nGenbank_accession (unitless)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_931469_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_931469_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_931469_v1/index.htmlTable https://www.bco-dmo.org/dataset/931469 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_931469_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_931469_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_931469_v1
log in [Santa Barbara Basin Foraminiferal Flux 2014-2021] - Formaminiferal Flux acquired by the Santa Barbara Basin Sediment Trap Mooring between 2014 and 2021 (Collaborative Research: Three decades of foraminiferal assemblages in the Santa Barbara Basin provide a link between present and past) The geologically rapid response of foraminiferal assemblages to changing climate makes their shells an invaluable geological record of the past. However, just how rapid these changes are is unknown and the specific drivers of assemblage composition and abundance are complex. Understanding how modern foraminifera respond to and record a climate event that would appear nearly instantaneous in the sediment record can inform paleontological interpretations and help to place foraminifera in a broader ecological context. We focus on the impact of ongoing, rapid climate change on planktic foraminifera in the California Current ecosystem. The Santa Barbara Basin sediment trap, located off the coast of California, USA since 1993, provides a 28-year record of particulate and foraminiferal flux to the basin. The sediment trap captures the superposition of the annual cycle of seasonal upwelling in Santa Barbara Basin, Pacific multiannual ENSO-driven temperature changes, and anthropogenically forced climate change. We present data on planktic foraminiferal flux collected between 2014-2021 from the Santa Barbara Basin sediment trap, at two-week intervals (164 samples). The dataset contains species-level planktic foraminiferal flux values from May 24, 2014 to November 11, 2021.  The most abundant species from 2014-2021 were Globigerina bulloides, Neogloboquadrina incompta, and Turborotalita quinqueloba.\n\ncdm_data_type = Other\nVARIABLES:\nSediment_trap_deployment_ID (unitless)\nCup_Sample_ID (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\nOpen (unitless)\nClose (unitless)\nMid (unitless)\nDuration_days (days)\nFxG_bulloides (# of foraminifera m-2 d-1)\nFxN_incompta (# of foraminifera m-2 d-1)\nFxT_quinqueloba (# of foraminifera m-2 d-1)\nFxN_pachyderma (# of foraminifera m-2 d-1)\nFxG_glutinata (# of foraminifera m-2 d-1)\n... (23 more variables)\n BCO-DMO bcodmo_dataset_936276_v1
log in [Scallop Density Survey - Trap CPUE] - Data from minnow traps placed across landscape fragmentation per se treatments in June, July, and August 2019 in Back Sound, NC to accompany scallop density surveys (Collaborative Research: Habitat fragmentation effects on fish diversity at landscape scales: experimental tests of multiple mechanisms) This dataset contains data from minnow traps placed across landscape fragmentation per se treatments in June, July, and August 2019 to accompany scallop density surveys. These data were collected as part of the following study published in Yarnall et al. (2024):\n\nTo explore the independent influence of fragmentation per se (patchiness) on mobile juvenile bay scallop (Argopecten irradians) density, we constructed 16 artificial seagrass unit (ASU) landscapes, consisting of four replicates each of four treatments. Fragmentation per se treatments consisted of three levels of patchiness while maintaining consistent total ASU area. We also examined the effect of patch-scale position on scallop densities. \n\nTo examine the relationship of potential scallop predator community density on scallop density, we deployed four baited minnow traps to accompany each density survey. \n\nData were collected by Drs. F. Joel Fodrie and Amy H. Yarnall for the Estuarine Ecology Laboratory of the University of North Carolina at Chapel Hill's Institute of Marine Sciences.\n\ncdm_data_type = Other\nVARIABLES:\nSite_ID (unitless)\nLandscape (unitless)\nNum_patches (integer)\nFootprint (unitless)\nRep_letter (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\nMonth (unitless)\nDate_In (unitless)\nTime_In (unitless)\ntime (Iso_datetime_utc_in, seconds since 1970-01-01T00:00:00Z)\nDate_Out (unitless)\nTime_Out (unitless)\n... (10 more variables)\n BCO-DMO bcodmo_dataset_939592_v1
log in [Scallop Density Surveys - Landscape Fine-scale Complexity] - Canopy height and epiphyte biomass of artificial seagrass landscapes in June, July, and August 2019 in Back Sound, NC (Collaborative Research: Habitat fragmentation effects on fish diversity at landscape scales: experimental tests of multiple mechanisms) This dataset contains metadata and data for canopy height and epiphyte biomass of artificial seagrass landscapes in June, July, and August 2019.  These data were collected as part of the following study published in Yarnall et al. (2024):\n\nTo explore the independent influence of fragmentation per se (patchiness) on mobile juvenile bay scallop (Argopecten irradians) density, we constructed 16 artificial seagrass unit (ASU) landscapes, consisting of four replicates each of four treatments. Fragmentation per se treatments consisted of three levels of patchiness while maintaining consistent total ASU area. We also examined the effect of patch-scale position on scallop densities. \n\nWe were also interested in examining fine-scale complexity influences scallop density. In June, July, and August 2019 fine-scale habitat complexity metrics, including ASU canopy height and epiphyte biomass, were sampled across landscapes where mobile scallops were present.\n\nData were collected by Drs. F. Joel Fodrie and Amy H. Yarnall for the Estuarine Ecology Laboratory of the University of North Carolina at Chapel Hill's Institute of Marine Sciences.\n\ncdm_data_type = Other\nVARIABLES:\nSite_ID (unitless)\nLandscape (unitless)\nNum_patches (integer)\nFootprint (unitless)\nRep_letter (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\nMonth (unitless)\nDate_collected (unitless)\nHeight (millimeters (mm))\nDate_scraping (unitless)\nTin_wt (grams (g))\n... (4 more variables)\n BCO-DMO bcodmo_dataset_939609_v1
log in [Scallop Density Surveys] - Scallop density survey data across landscape fragmentation per se treatments in June, July, and August 2019 in Back Sound, NC (Collaborative Research: Habitat fragmentation effects on fish diversity at landscape scales: experimental tests of multiple mechanisms) This dataset contains metadata and data for scallop density surveys across landscape fragmentation per se treatments in June, July, and August 2019. These data were collected as part of the following study published in Yarnall et al. (2024):\n\nTo explore the independent influence of fragmentation per se (patchiness) on mobile juvenile bay scallop (Argopecten irradians) density, we constructed 16 artificial seagrass unit (ASU) landscapes, consisting of four replicates each of four treatments. Fragmentation per se treatments consisted of three levels of patchiness while maintaining consistent total ASU area. We also examined the effect of patch-scale position on scallop densities. \n\nFreely mobile juvenile scallops were placed at a consistent density (indiv. m-2) across landscapes for three density survey trials, one each during June, July, and August 2019. Observers snorkel surveyed each landscape at 24 h, 48 h, and 72 h during each trail, and recorded the number of scallops per ASU.\n\nData were collected by Drs. F. Joel Fodrie and Amy H. Yarnall for the Estuarine Ecology Laboratory of the University of North Carolina at Chapel Hill's Institute of Marine Sciences.\n\ncdm_data_type = Other\nVARIABLES:\nSite_ID (unitless)\nLandscape (unitless)\nNum_patches (count)\nFootprint (unitless)\nRep_letter (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\nDate_check (unitless)\nMonth (unitless)\nCheck_num (unitless)\nTime_check (unitless)\n... (14 more variables)\n BCO-DMO bcodmo_dataset_939617_v1
log in [Scallop Survival Assays - Trap CPUE] - Data from minnow traps deployed to accompany scallop survival assays conducted as part of a larger concurrent study with Artificial Seagrass Units (ASU) in NC from July to September 2018 (Collaborative Research: Habitat fragmentation effects on fish diversity at landscape scales: experimental tests of multiple mechanisms) This dataset contains minnow trap data from deployments performed to accompany scallop survival assays conducted in 2018 (assays across landscape area x fragmentation per se treatments). These data were collected as part of the following study published in Yarnall et al. (2024):\n\nTo parse the influences of fragmentation components on scallop survival, we generated nine unique landscapes composed of artificial seagrass units (ASUs), were constructed to mimic Zostera marina. These landscapes were part of a larger-scale concurrent experiment, during which we examined seagrass fragmentation effects on estuarine faunal communities (Yarnall et al. In Press). Landscapes were designed to be treatments along orthogonal axes of seagrass percent cover of the landscape footprint (10%, 35%, 60%) and fragmentation per se, indexed by percolation probability (0.1, 0.35, 0.59). \nTo examine the influence of potential scallop predator community density on scallop survival, we deployed two baited minnow traps to accompany each survival assay. All caught fauna were identified to the species level, enumerated, and released.\n\nData were collected by Drs. F. Joel Fodrie and Amy H. Yarnall for the Estuarine Ecology Laboratory of the University of North Carolina at Chapel Hill's Institute of Marine Sciences.\n\ncdm_data_type = Other\nVARIABLES:\nSite_ID (unitless)\nPer_cov (percent (%))\nFrag (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\nDate_In (unitless)\nTime_In (unitless)\ntime (Iso_datetime_utc_in, seconds since 1970-01-01T00:00:00Z)\nDate_Out (unitless)\nTime_Out (unitless)\nCheck_num (unitless)\n... (9 more variables)\n BCO-DMO bcodmo_dataset_939600_v1
log in [Scallop Survival Assays] - Data from scallop survival assays conducted as part of a larger concurrent study of fragmentation effects on estuarine faunal communities with Artificial Seagrass Units (ASU) in Back Sound, NC from July to September 2018 (Collaborative Research: Habitat fragmentation effects on fish diversity at landscape scales: experimental tests of multiple mechanisms) This dataset contains metadata and data from scallop survival assays conducted in 2018 (assays across landscape area x fragmentation per se treatments) as part of the following study published in Yarnall et al. (2024):\n\nTo parse the influences of fragmentation components on scallop survival, we generated nine unique landscapes composed of artificial seagrass units (ASUs), were constructed to mimic Zostera marina. These landscapes were part of a larger-scale concurrent experiment, during which we examined seagrass fragmentation effects on estuarine faunal communities (Yarnall et al. In Press). Landscapes were designed to be treatments along orthogonal axes of seagrass percent cover of the landscape footprint (10%, 35%, 60%) and fragmentation per se, indexed by percolation probability (0.1, 0.35, 0.59). \nRelative scallop survival was measured by deploying tethered juvenile bay scallops in two density treatments. Five 24-h survival assay trials were conducted from July to September 2018. During each survival assay, observers snorkel surveyed tethers and recorded the number of live and dead scallops per treatment. \n\nData were collected by Drs. F. Joel Fodrie and Amy H. Yarnall for the Estuarine Ecology Laboratory of the University of North Carolina at Chapel Hill's Institute of Marine Sciences.\n\ncdm_data_type = Other\nVARIABLES:\nSite_ID (unitless)\nPer_cov (percent (%))\nFrag (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\nDate_In (unitless)\nTime_In (unitless)\ntime (Iso_datetime_utc_in, seconds since 1970-01-01T00:00:00Z)\nCheck_num (unitless)\nDate_check (unitless)\n... (20 more variables)\n BCO-DMO bcodmo_dataset_939581_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_881060_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_881060_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_881060_v1/ public [SCCS Bulk N2 Fixation Measurements] - Bulk N2 fixation measurements from UCYN-A symbiosis in the Southern California Current System from May 2017 (SP1714) and October (SP1724) SCCS cruises. (Collaborative Research: Biogeochemical significance of the abundant, uncultivated symbiotic cyanobacteria UCYN-A) Bulk N2 fixation measurements from UCYN-A symbiosis in the Southern California Current System from May 2017 (SP1714) and October (SP1724) SCCS cruises.\n\ncdm_data_type = Other\nVARIABLES:\nCruise (unitless)\nStation (unitless)\nLatitude (degrees_north)\nlongitude (degrees_east)\ndepth (m)\nAverage_NFR (nanomoles nitrogen per liter per day (nmol N L-1 d–1))\nStdev_NFR (nanomoles nitrogen per liter per day (nmol N L-1 d–1))\nLOD (nanomoles nitrogen per liter per day (nmol N L-1 d–1))\nMQR (nanomoles nitrogen per liter per day (nmol N L-1 d–1))\nRep1_NFR (nanomoles nitrogen per liter per day (nmol N L-1 d–1))\nRep2_NFR (nanomoles nitrogen per liter per day (nmol N L-1 d–1))\nRep3_NFR (nanomoles nitrogen per liter per day (nmol N L-1 d–1))\nRep1_T (days)\nRep1_APN (percentage (%))\nRep1_PN (micromoles nitrogen per liter (µmol N L-1))\nRep2_T (days)\nRep2_APN (percentage (%))\nRep2_PN (micromoles nitrogen per liter (µmol N L-1))\nRep3_T (days)\nRep3_APN (percentage (%))\nRep3_PN (micromoles nitrogen per liter (µmol N L-1))\nAtomPerc_N2_rep1 (percentage (%))\nAtomPerc_PN_rep1 (percentage (%))\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_881060_v1/index.htmlTable https://www.bco-dmo.org/dataset/881060 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_881060_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_881060_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_881060_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_881028_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_881028_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_881028_v1/ public [SCCS Diazotroph Abundances] - Hydrological, biogeochemcial and N2-fixer qPCR-derived abundance data for May 2017 (SP1714) and October (SP1724) SCCS cruises. (Collaborative Research: Biogeochemical significance of the abundant, uncultivated symbiotic cyanobacteria UCYN-A) Hydrological, biogeochemcial and N2-fixer qPCR-derived abundance data for May 2017 (SP1714) and October (SP1724) SCCS cruises.\n\ncdm_data_type = Other\nVARIABLES:\nCruise (unitless)\nStation (unitless)\ndepth (m)\nlatitude (degrees_north)\nlongitude (degrees_east)\nSample_Date (unitless)\nbottom_depth (meters (m))\nmix_layer_depth (meters (m))\ntemperature (Degrees Celcius (°C))\nsalinity (psu)\noxygen (milliliters per liter (mL L-1))\nfluorescence (milligrams per cubic meters (mg m-3))\nPAR (unitless)\npotential_density (kilograms per cubic meters (kg m-3))\nNitrate (micromoles (µM))\nPhosphate (micromoles (µM))\nP (unitless)\nchla_ave (micrograms per liter (µg L-1))\nchla_stdev (micrograms per liter (µg L-1))\nUCYN_A1_ave (nitrogenase gene per liter (nifH L-1))\nUCYN_A1_stdev (nitrogenase gene per liter (nifH L-1))\nUCYN_A1_DNQ (unitless)\nUCYN_A2_ave (nitrogenase gene per liter (nifH L-1))\nUCYN_A2_stdev (nitrogenase gene per liter (nifH L-1))\nUCYN_A2_DNQ (unitless)\nUCYN_B_ave (nitrogenase gene per liter (nifH L-1))\n... (11 more variables)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_881028_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_881028_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_881028_v1/index.htmlTable https://www.bco-dmo.org/dataset/881028 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_881028_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_881028_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_881028_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_881078_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_881078_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_881078_v1/ public [SCCS Single Cell N2 Fixation Measurements] - Single cell N2 fixation measurements from UCYN-A symbiosis in the Southern California Current System from May 2017 (SP1714) and October (SP1724) SCCS cruises. (Collaborative Research: Biogeochemical significance of the abundant, uncultivated symbiotic cyanobacteria UCYN-A) Single cell N2 fixation measurements from UCYN-A symbiosis in the Southern California Current System from May 2017 (SP1714) and October (SP1724) SCCS cruises.\n\ncdm_data_type = Other\nVARIABLES:\nCruise (unitless)\nStation (unitless)\nLatitude (degrees_north)\nlongitude (degrees_east)\nnearshore_offshore (unitless)\nCell (unitless)\nROI (unitless)\nPN (Femtomole Nitrogen per cell (fmol N cell-1))\nat_15N (precentage (%))\nindividual_single_cell_N2_fixation_rate (Femtomole Nitrogen per cell per day (fmol N cell-1 d-1))\nat_15N2_mean (precentage (%))\nat_15N2_stdev (precentage (%))\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_881078_v1/index.htmlTable https://www.bco-dmo.org/dataset/881078 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_881078_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_881078_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_881078_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_878631_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_878631_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_878631_v1/ public [Sciaenid egg identification] - Identity of sciaenid eggs 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) This dataset represents the identity (based on PCR results) of sciaenid eggs from the Gulf of Mexico Estuary near Port Aransas, Texas. Egg samples were collected from 20 August, 2020 through 8 March, 2022 from the research pier at UTMSI, located in the Aransas Pass inlet. Egg samples were collected bi-weekly during the Red Drum spawning season (August – December) and monthly outside the Red drum spawning season from two locations. Eggs were sorted by morphology to isolate sciaenid eggs and molecular PCR techniques were applied to subsamples of eggs to confirm the species identification.\n\ncdm_data_type = Other\nVARIABLES:\nEgg_size (millimeters)\nCollection_date (unitless)\nUIN (unitless)\nSite (unitless)\nLatitude (degrees_north)\nlongitude (degrees_east)\nDNA_extraction_date (unitless)\nDate_analyzed (unitless)\nRed_Drum (unitless)\nGulf_Kingfish (unitless)\nSouthern_Kingfish (unitless)\nSpotted_Seatrout (unitless)\nAtlantic_Croaker (unitless)\nBlack_Drum (unitless)\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_878631_v1/index.htmlTable https://www.bco-dmo.org/dataset/878631 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_878631_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_878631_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_878631_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_878631_v2 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_878631_v2.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_878631_v2/ public [Sciaenid egg identification] - Identity of sciaenid eggs 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) This dataset represents the identity (based on PCR results) of sciaenid eggs from the Gulf of Mexico Estuary near Port Aransas, Texas. Egg samples were collected from 20 August, 2020 through 8 March, 2022 from the research pier at UTMSI, located in the Aransas Pass inlet. Egg samples were collected bi-weekly during the Red Drum spawning season (August – December) and monthly outside the Red drum spawning season from two locations. Eggs were sorted by morphology to isolate sciaenid eggs and molecular PCR techniques were applied to subsamples of eggs to confirm the species identification.\n\ncdm_data_type = Other\nVARIABLES:\nEgg_size (millimeters)\nCollection_date (unitless)\nUIN (unitless)\nSite (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\nDNA_extraction_date (unitless)\nDate_analyzed (unitless)\nRed_Drum (unitless)\nGulf_Kingfish (unitless)\nSouthern_Kingfish (unitless)\nSpotted_Seatrout (unitless)\nAtlantic_Croaker (unitless)\nBlack_Drum (unitless)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_878631_v2_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_878631_v2_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_878631_v2/index.htmlTable https://www.bco-dmo.org/dataset/878631 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_878631_v2.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_878631_v2&showErrors=false&email= BCO-DMO bcodmo_dataset_878631_v2
log in [Seaglider observations at Station ALOHA in the North Pacific Subtropical Gyre] - Depth profiles from Seagliders 146, 147, 148, 511, 512, and 626 in a total of 18 missions at Station ALOHA in the North Pacific Subtropical Gyre from 2008-2023 (Oligotrophic ocean metabolism from underwater glider observations) This dataset includes over 20,000 depth profiles collected with underwater gliders in a total of 18 missions between 2008 and 2023. The glider missions were centered at the long-term sampling site of the Hawaii Ocean Time-series (HOT) program, Station ALOHA (22°45′N, 158°W), within the North Pacific Subtropical Gyre. The gliders were equipped with sensors to measure temperature, salinity, pressure, dissolved oxygen concentration, chlorophyll a concentration from fluorescence (excitation/emission lambda = 470/695 nm), and the particulate backscattering coefficient at three wavelengths (lambda = 470 nm, 700 nm, and either 650 or 660 nm depending upon mission). Vertical profiles down to at least 200 m were collected for all sensors over periods of several months per mission. Chlorophyll a and oxygen concentrations are calibrated with discrete observations. Particulate backscattering coefficients are corrected with an additional dark subtraction. This dataset differs from the raw data files in that it is quality controlled, calibrated, and corrected. Raw data files can be found at https://hahana.soest.hawaii.edu/seagliders/index.php. The glider observations were collected over the years by Dr. Karl, with different funding sources (including NSF) to investigate carbon cycle processes in the oligotrophic North Pacific Subtropical Gyre. Dr. Ferron and Dr. Barone received NSF funding to conduct a re-analysis of this comprehensive dataset in order to characterize metabolic rates and understand their patterns of variability. Dr. Garcia conducted the data processing that resulted in this curated dataset. Steve Poulos operated the Seagliders in all missions.\n\ncdm_data_type = Other\nVARIABLES:\nseaglider_deployment (unitless)\nseaglider_platform (unitless)\nseaglider_mission (unitless)\ntime (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\nlatitude (degrees_north)\nlongitude (degrees_east)\ndepth (m)\ndivenum (unitless)\ndirection (unitless)\ntemp (degrees Celsius)\n... (13 more variables)\n BCO-DMO bcodmo_dataset_928732_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_922242_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_922242_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_922242_v1/ public [Seagrass Blade Height] - Seagrass blade height from fish and 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) Seagrass blade height from fish and seagrass surveys on clusters of artificial reefs at the Abaco Islands, Bahamas in May of 2022. Data are presented for two different sites: PN, which were constructed in May 2021 at the Bight of Old Robinson, Great Abaco, and CM which were constructed in May 2022 in the waters north of Little Abaco Island. At each 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:\ndate (unitless)\nobs (unitless)\ncluster (unitless)\ncluster_lat (degrees_north)\nlongitude (Cluster_lon, degrees_east)\nreef (unitless)\ntransect (unitless)\ndistance (meters (m))\nsubsample (unitless)\ntt_shoot_count (per shoot)\ntt_bladeheight_1 (millimeters (mm))\ntt_bladeheight_2 (millimeters (mm))\ntt_bladeheight_3 (millimeters (mm))\ntt_bladeheight_4 (millimeters (mm))\ntt_bladeheight_5 (millimeters (mm))\nsf_shoot_count (per shoot)\nsf_bladeheight_1 (millimeters (mm))\nsf_bladeheight_2 (millimeters (mm))\nsf_bladeheight_3 (millimeters (mm))\nsf_bladeheight_4 (millimeters (mm))\nsf_bladeheight_5 (millimeters (mm))\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_922242_v1/index.htmlTable https://www.bco-dmo.org/dataset/922242 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_922242_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_922242_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_922242_v1
log in [Seagrass Microbiome Data] -  (Collaborative Research: The role of a keystone pathogen in the geographic and local-scale ecology of eelgrass decline in the eastern Pacific) This dataset includes sample collection information and sequence accessions for 16S rRNA amplicon sequencing of eelgrass leaf and surrounding water column bacteria from 32 eelgrass meadows across latitudes from 55 to 32° N in the Northeastern Pacific during July and August 2019.  Sequence Read Archive (SRA) Experiments and BioSamples can be accessed from the NCBI BioProject PRJNA802566 (https://www.ncbi.nlm.nih.gov/bioproject/PRJNA802566/)\n\nEelgrass, Zostera marina, is impacted by outbreaks of wasting disease caused by the opportunistic pathogen Labyrinthula zosterae. We investigated how Z. marina phyllosphere microbial communities vary with rising wasting disease lesion prevalence and severity relative to plant and meadow characteristics like shoot density, longest leaf length, and temperature across 23° latitude in the Northeastern Pacific. We sampled 32 eelgrass meadows across latitudes from 55 to 32° N in the Northeastern Pacific during July and August 2019. This range included six regions (AK=Alaska, BC=British Columbia, WA=Washington, OR=Oregon, BB=Bodega Bay Northern California, SD=San Diego Southern California), with 5–6 meadows per region. The location of each region is AK: N 55° 32' 27.124” W 133° 11' 1.0546, BC: N 51° 48' 30.1469” W 128° 13' 27.2182, WA: N 48° 36' 4.9725” W 122° 59' 56.4203, OR: N 44° 69 43.717” W 124° 89 22.7337, BB: N 38° 14' 30.3218” W 122° 58' 32.5723, SD: N 32° 47' 37.5929” W 117° 12' 57.1071”. We selected eelgrass meadows within each region that had consistently high cover of eelgrass in recent years.\n\ncdm_data_type = Other\nVARIABLES:\nsample_title (unitless)\nSampleType (unitless)\nRegionName (unitless)\nSiteCode (unitless)\nTissueType (unitless)\nLesionStatus (unitless)\ncollection_date (unitless)\nLocationName (unitless)\nTidalHeight (unitless)\nTransect (unitless)\n... (8 more variables)\n BCO-DMO bcodmo_dataset_933635_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_947067_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_947067_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_947067_v1/ public [Seasonal fatty acid profiles of marine algae and invertebrates from Sitka Sound, Alaska in 2019] - Seasonal fatty acid profiles of marine algae and invertebrates from Sitka Sound, Alaska in 2019 (CAREER: Energy fluxes and community stability in a dynamic, high-latitude kelp ecosystem) These data include fatty acid compositions of select marine macroalgae and macroinvertebrate grazers collected in Sitka Sound, Alaska in January 2019 and July 2019. Samples were collected using SCUBA at three sites, all within 6 km of each other in Sitka Sound: Harris Island (N 57.03165, W 135.27754), Breast Island (N 57.03896, W 135.33309), and Samsing Pinnacle (N 56.98750, W 135.35718). Sampled species included six seaweeds, including three Laminarian kelps (Ochrophyta) and three red algae from the Gigartinales and Ceramiales, that are present in both seasons in these sites: Neoagarum fimbriatum, Macrocystis pyrifera, Hedophyllum nigripes, Cryptopleura ruprechtiana, Opuntiella californica, and Osmundia spectabilis. They also include six macro-invertebrates (two each of gastropods, crustaceans, echinoderms) that are present and dominant herbivores in these sites: Haliotis kamtschatkana, Tegula pulligo, Pentidotea resecata, Pugettia producta, Mesocentrotus franciscanus, and Strongylocentrotus droebachiensis. \nUnderstanding seasonal variation in fatty acid trophic biomarkers between dominant macrophyte resources and their benthic herbivores can help reveal how producers and their primary consumers may respond to future environmental change. These unique data from a high latitude kelp forest ecosystem were collected by a collaborative team of marine ecologists: Dr. Reyn Yoshioka, Dr. Aaron Galloway, Dr. Julie Schram, Dr. Kristy Kroeker, and Dr. Lauren Bell.\n\ncdm_data_type = Other\nVARIABLES:\nsampleID (unitless)\nseason (unitless)\nsite (unitless)\nYear_Month (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\nspCode (unitless)\ntype (unitless)\ngenus (unitless)\nspecies (unitless)\nLSID (unitless)\nlengthDia_comment (unitless)\n... (65 more variables)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_947067_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_947067_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_947067_v1/index.htmlTable https://www.bco-dmo.org/dataset/947067 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_947067_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_947067_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_947067_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_918364_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_918364_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_918364_v1/ public [Seasonal temperatures on Floridian coral reef] - In situ temperature data from August 2019 to May 2020 from one HOBO temperature logger deployed at Emerald Reef in Southeast Florida, USA (Collaborative Research: Assessing the changing symbiotic milieu on Caribbean coral reefs under climate change: magnitude, tradeoffs, interventions, and implications) This dataset contains in situ temperature data from August 2019 to May 2020 from one HOBO temperature logger deployed at Emerald Reef at 7.8 meters depth in southeast Florida. Coral cores were collected from this reef and underwent experimental heat stress. In situ temperature data were used to inform seasonal temperature variation on this reef. The publication based on these data is Buzzoni, et al. (2023) (DOI: 10.1007/s00338-023-02428-x).\n\ncdm_data_type = Other\nVARIABLES:\nISO_DateTime_EST (unitless)\ntime (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\nTemp (degrees Celsius)\nLatitude (degrees_north)\nlongitude (degrees_east)\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_918364_v1/index.htmlTable https://www.bco-dmo.org/dataset/918364 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_918364_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_918364_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_918364_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_957165_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_957165_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_957165_v1/ public [Seawater profiles of vanadium concentrations and isotope compositions] - Vanadium concentrations and isotope compositions of seawater samples collected from the South Atlantic Ocean (2010 UK GEOTRACES cruise GA10/D357 Leg 1) and the Black Sea (2013 MedBlack GEOTRACES cruise leg 2, 64PE373, R/V Pelagia) (Fingerprinting and Calibrating Low Oxygen Conditions Using Vanadium Isotopes) These data include vanadium concentrations and isotope compositions of seawater samples from the South Atlantic Ocean (collected during the UK GEOTRACES cruise GA10/D357 Leg 1) and the shallow water columns in the Black Sea (collected during the leg 2 of the MedBlack GEOTRACES cruises, 64PE373, R/V Pelagia). The resin column chromatography method is utilized to purify vanadium. The vanadium concentrations were measured with the Agilent 7500ce Inductively Coupled Plasma Mass Spectrometry (ICP-MS) and Thermo Element 2 ICP‑MS, and the isotope compositions were measured with the Neptune Multi-collector-ICP-MS. These data assess the cycling of vanadium isotopes in seawater and were collected by Dr. Siqi Li at Florida State University.\n\ncdm_data_type = Other\nVARIABLES:\nCruise_ID (unitless)\nLocation (unitless)\nStation (unitless)\nSample_ID (unitless)\nlongitude (degrees_east)\nlatitude (degrees_north)\nDate (unitless)\ndepth (m)\nSalinity (PSU)\nSeawater_V_ng_g (nanograms per gram (ng/g))\nSeawater_V_nmol_kg (nanomoles per kilogram (nmol/kg))\none_RSD (percent (%))\nSeawater_V_normalized_nmol_kg (nanomoles per kilogram (nmol/kg))\nYielded_V (nanograms per gram)\nYielding_rate (percent (%))\nd51V (per mil (‰))\ntwo_SD (per mil (‰))\nnumber_duplicates (unitless)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_957165_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_957165_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_957165_v1/index.htmlTable https://osprey.bco-dmo.org/dataset/957165 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_957165_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_957165_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_957165_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_911409_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_911409_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_911409_v1/ public [Seawater Temperatures Prior to and During Outplant Experiment] - Seawater temperatures at study sites in the Gulf of Maine prior to and during 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 study sites in the Gulf of Maine prior to and during an outplant experiment that was conducted from April to August 2021.\n\ncdm_data_type = Other\nVARIABLES:\nPERIOD (unitless)\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_911409_v1/index.htmlTable https://www.bco-dmo.org/dataset/911409 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_911409_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_911409_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_911409_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_928400_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_928400_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_928400_v1/ public [Sediment geochemical compositional data] - Geochemical composition of sediment samples collected in the Equatorial Pacific during October and November 2020 on R/V Kilo Moana cruise KM2012 (Collaborative Research: How and Why eNd Tracks Ocean Circulation) Water column, sediment, and pore water samples were collected during R/V Kilo Moana cruise KM2012 in the Equatorial Pacific during October and November 2020. This dataset includes elemental concentrations, Neodymium isotope ratios, and XRD analyses of the mineralogy of the sediment samples.\n\ncdm_data_type = Other\nVARIABLES:\nStation_Number (unitless)\nLatitude (degrees_north)\nlongitude (degrees_east)\nDate (unitless)\nbottom_depth (meters (m))\nnominal_depth (centimeters (cm))\nBe_ug_g (micrograms per gram (ug/g))\nBe_error (micrograms per gram (ug/g))\nNa_wt_pcnt (weight %)\nNa_error (weight %)\nMg_wt_pcnt (weight %)\nMg_error (weight %)\nAl_wt_pcnt (weight %)\nAl_error (weight %)\nS_wt_pcnt (weight %)\nS_error (weight %)\nK_wt_pcnt (weight %)\nK_error (weight %)\nCa_wt_pcnt (weight %)\nCa_error (weight %)\nSc_ug_g (weight %)\nSc_error (weight %)\nTi_wt_pcnt (weight %)\nTi_error (weight %)\n... (81 more variables)\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_928400_v1/index.htmlTable https://www.bco-dmo.org/dataset/928400 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_928400_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_928400_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_928400_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_928246_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_928246_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_928246_v1/ public [Sediment pore water geochemical compositional data] - Geochemical composition of sediment pore water samples collected in the Equatorial Pacific during October and November 2020 on R/V Kilo Moana cruise KM2012 (Collaborative Research: How and Why eNd Tracks Ocean Circulation) Water column, sediment, and pore water samples were collected during R/V Kilo Moana cruise KM2012 in the Equatorial Pacific during October and November 2020. This dataset includes elemental concentrations, Neodymium isotope ratios, pH, and nutrients from the sediment pore water samples.\n\ncdm_data_type = Other\nVARIABLES:\nStation_Number (unitless)\nLatitude (degrees_north)\nlongitude (degrees_east)\nDate (unitless)\nbottom_depth (meters (m))\nnominal_depth (centimeters (cm))\nLa_pM (picomolar (pmol/L))\nCe_pM (picomolar (pmol/L))\nPr_pM (picomolar (pmol/L))\nNd_pM (picomolar (pmol/L))\nSm_pM (picomolar (pmol/L))\nEu_pM (picomolar (pmol/L))\nGd_pM (picomolar (pmol/L))\nTb_pM (picomolar (pmol/L))\nDy_pM (picomolar (pmol/L))\nHo_pM (picomolar (pmol/L))\nEr_pM (picomolar (pmol/L))\nTm_pM (picomolar (pmol/L))\nYb_pM (picomolar (pmol/L))\nLu_pM (picomolar (pmol/L))\nCo_nM (nanomolar (nmol/L))\nNi_nM (nanomolar (nmol/L))\nCu_nM (nanomolar (nmol/L))\nZn66_nM (nanomolar (nmol/L))\nZn68_nM (nanomolar (nmol/L))\n... (38 more variables)\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_928246_v1/index.htmlTable https://www.bco-dmo.org/dataset/928246 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_928246_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_928246_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_928246_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_916071_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_916071_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_916071_v1/ public [Sediment Properties] - Sediment properties collected off the Alabama coast before and after Hurricane Sally, 2020-2021 (CAREER: Mechanisms of bioturbation and ecosystem engineering by benthic infauna) This dataset consists of profiles of sediment grain size distribution, porosity, and organic content in addition to bottom water salinity 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 (2020).\n\ncdm_data_type = Other\nVARIABLES:\nSite (unitless)\nLatidude (degrees_north)\nlongitude (degrees_east)\ndepth (Waterdepth_m, m)\nDate (calendar date)\nTimeAfterSally_d (days)\nSalinity (unitless)\nTemperature_degC (degrees Celsius)\nReplicate (unitless)\nSedimentDepth_cm (cm)\nWaterContentFraction (unitless)\nPorosityFraction (unitless)\nOrganicContentFraction (unitless)\nMEANGrainSize_um (um)\nSORTING_um (unitless)\nSKEWNESS_um (unitless)\nKURTOSIS_um (unitless)\nMEANGrainSize_phi (phi)\nSORTING_phi (unitless)\nSKEWNESS_phi (unitless)\nKURTOSIS_phi (unitless)\nMEANGrainSizeDescription (unitless)\nSORTINGDescription (unitless)\nSKEWNESSDescription (unitless)\n... (133 more variables)\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_916071_v1/index.htmlTable https://www.bco-dmo.org/dataset/916071 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_916071_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_916071_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_916071_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_925664_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_925664_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_925664_v1/ public [Shell dissolution data for Mytilus californianus] - Shell dissolution data for Mytilus californianus from March to July 2020 (OA decoupling project) (Invertebrate calcification and behavior in seawater of decoupled carbonate chemistry) This dataset supports the main incubation data. These data document shell dissolution rates for Mytilus californianus which were used to convert net calcification rates of mussels into gross calcification rates.\n\ncdm_data_type = Other\nVARIABLES:\nspecies (unitless)\nAphiaID (unitless)\nLSID (unitless)\nmodule (unitless)\ndatetime_local (unitless)\nstart_time_local (unitless)\nISO_Start_DateTime_UTC (unitless)\nduration (hours)\nsalinity (PSU)\ntemperature (degrees Celcius)\nshell_mass (grams (g))\nTA (umol kg-1)\nph (unitless)\nhco3 (umol kg-1)\nco3 (umol kg-1)\nomega (unitless)\nco2 (umol kg-1)\npco2 (uatm)\ndic (umol kg-1)\nincubation_water_mass (kilograms (kg))\ndelta_ta (umol kg-1)\ndiss_rate (umol hr-1 g-1)\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_925664_v1/index.htmlTable https://www.bco-dmo.org/dataset/925664 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_925664_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_925664_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_925664_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_918420_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_918420_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_918420_v1/ public [Shell thickness of mussel recruits] - Shell thickness of mussel recruits quantified in two species, Mytilus trossulus and Mytilus californianus (Coastal mosaics of local adaptation and the eco-evolutionary dynamics of a marine predator-prey interaction) Mussels are common on rocky shores along the west coast of North America and are prey to a number of species, including the Channeled Dogwhelk, Nucella canaliculata. When N. canaliculata hatch, they are dependent on a supply of newly recruited prey that are variable in abundance. To determine the strength of selection that early-life diet may impose on juvenile dogwhelks, recruit mussel shell thickness was quantified for two mussel species, Mytilus trossulus and Mytilus californianus. In addition, recruit M. californianus were collected from two locations, Bodega Marine Reserve and Soberanes Point, known to differ in the thickness of adult M. californianus.\n\ncdm_data_type = Other\nVARIABLES:\nMussel_Number (unitless)\nMussel_Type (unitless)\nSite_Latitude (degrees_north)\nlongitude (Site_longitude, degrees_east)\nWeight (grams (g))\nMagnification (unitless)\nLength_L (millimeters (mm))\nLength_R (millimeters (mm))\nArea_L (square millimeters (mm^2))\nArea_R (square millimeters (mm^2))\nTotal_Area (square millimeters (mm^2))\nShell_Thickness (grams per square millimeter (g/(mm^2)))\nNotes (unitless)\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_918420_v1/index.htmlTable https://www.bco-dmo.org/dataset/918420 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_918420_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_918420_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_918420_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_945375_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_945375_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_945375_v1/ public [Shipboard incubations SKQ202209S] - Concentrations of dissolved inorganic macronutrients, chlorophyll a, phaeophytin, PON, and POC measured during phytoplankton shipboard incubation experiments on the FeOA cruise SKQ202209S on R/V Sikuliaq in the NE Pacific from June to 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, and particulate organic nitrogen and carbon measured shipboard in samples collected from phytoplankton shipboard incubation experiments conducted 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:\nFeOA_NBR (unitless)\nISO_DateTime_Start_Local (unitless)\ntime (Iso_datetime_start_utc, seconds since 1970-01-01T00:00:00Z)\nISO_DateTime_Stop_Local (unitless)\nISO_DateTime_Stop_UTC (seconds since 1970-01-01T00:00:00Z)\nlatitude (Collection_latitude, degrees_north)\nlongitude (Collection_longitude, degrees_east)\nPLATFORM (unitless)\nSTNNBR (unitless)\nINCNBR (unitless)\nINCDAY (unitless)\nINCTREATMENT (unitless)\nBTLNBR_INC (unitless)\n... (40 more variables)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_945375_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_945375_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_945375_v1/index.htmlTable https://www.bco-dmo.org/dataset/945375 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_945375_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_945375_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_945375_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_924808_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_924808_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_924808_v1/ public [Shoots sampled for whole genome sequencing] - Shoot measurements (sheath length and width) for the eelgrass (Zostera marina) shoots sampled for whole genome sequencing collected from Bodega and Tomales Bay, CA, USA from July to September 2019 (Using genomics to link traits to ecosystem function in the eelgrass Zostera marina) This dataset provides shoot measurements for the shoots sampled for whole genome sequencing for Tomales Bay and Bodega Harbor (see related datasets for access to sequence data). Sheath width is measured on the terminal shoot using calipers at the abscission point (point where leaves emerge from the sheath). Sheath length is measured using a ruler to the nearest mm from the base to the abscission point. These data were used to record any differences in plant phenotype among the populations sampled.  Shoot Length was not measured since it is susceptible to breakage and density was not measured as we could not ascribe density to a genetic individual.\n\ncdm_data_type = Other\nVARIABLES:\nINDV (unitless)\nSITE (unitless)\ncollection_date (unitless)\nLatitude (degrees_north)\nlongitude (degrees_east)\nsheath_length (millimeters (mm))\nsheath_width (millimeters (mm))\nsite_descrip (Depth, unitless)\nmean_temp_C (degrees Celsius)\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_924808_v1/index.htmlTable https://www.bco-dmo.org/dataset/924808 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_924808_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_924808_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_924808_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_926887_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_926887_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_926887_v1/ public [Short-term heat stress assay Heron Island -  physiological data] - Photochemical yield and color score data from short-term heat stress assays performed with with corals collected from sites around Heron Island, southern Great Barrier Reef  in Sept and Oct of 2022 (Influence of environmental pH variability and thermal sensitivity on the resilience of reef-building corals to acidification stress) Variable temperature regimes that expose corals to sub-lethal heat stress have been recognized as a mechanism to increase coral thermal tolerance and lessen coral bleaching. However, there is a need to better understand which thermal regimes maximize coral stress hardening. Here, standardized thermal stress assays were used to determine the relative thermal tolerance of three divergent genera of corals (Acropora, Pocillopora, Porites) originating from six reef sites representing an increasing gradient of annual mean diel temperature fluctuations of 1–3°C day-1. Bleaching severity and dark-acclimated photochemical yield (i.e., Fv/Fm) were quantified following exposure to five temperature treatments ranging from 23.0 to 36.3°C (see Related Datasets for temperature data). This data set contains photochemical yield and color score data used to determine effective dose 50 (ED50, thermal tolerance). It also includes images used for analysis of coral color, a proxy for bleaching severity.\n\ncdm_data_type = Other\nVARIABLES:\nSite_Code (unitless)\nSite_Name (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\nGenus (unitless)\nColonyID (unitless)\nTreatment_nonnum (unitless)\nTreatment (unitless)\nReplicate (unitless)\nTemperature (degrees Celsius (degC))\nF0 (unitless)\nFm (unitless)\nY (unitless)\nLabel (unitless)\nColor_type (unitless)\nColor (unitless)\nName (unitless)\n... (7 more variables)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_926887_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_926887_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_926887_v1/index.htmlTable https://www.bco-dmo.org/dataset/926887 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_926887_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_926887_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_926887_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_926905_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_926905_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_926905_v1/ public [Short-term heat stress assay Heron Island - experimental temperature data] - Temperature data from short-term heat stress assays performed with with corals collected from sites around Heron Island, southern Great Barrier Reef  in Sept and Oct of 2022 (Influence of environmental pH variability and thermal sensitivity on the resilience of reef-building corals to acidification stress) Variable temperature regimes that expose corals to sub-lethal heat stress have been recognized as a mechanism to increase coral thermal tolerance and lessen coral bleaching. However, there is a need to better understand which thermal regimes maximize coral stress hardening. Here, standardized thermal stress assays were used to determine the relative thermal tolerance of three divergent genera of corals (Acropora, Pocillopora, Porites) originating from six reef sites representing an increasing gradient of annual mean diel temperature fluctuations of 1–3°C day-1. Bleaching severity and dark-acclimated photochemical yield (i.e., Fv/Fm) were quantified following exposure to five temperature treatments ranging from 23.0 to 36.3°C (see Related Datasets for photochemical yield). This data set contains the short-term heat stress temperature data.\n\ncdm_data_type = Other\nVARIABLES:\nindex (unitless)\nDate (unitless)\ntime_local (Time, unitless)\nDateTime_Local (unitless)\nTemperature (degrees Celsius (degC))\nday (unitless)\nSite (unitless)\nTreatment (unitless)\ntime (Datetime_utc, seconds since 1970-01-01T00:00:00Z)\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_926905_v1/index.htmlTable https://www.bco-dmo.org/dataset/926905 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_926905_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_926905_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_926905_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_926911_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_926911_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_926911_v1/ public [Short-term heat stress assay Heron Island - thermal tolerance comparison between studies] - Thermal tolerance (ED50) data used to compare previously published regional (Florida Reef Tract, Coral Sea, Red Sea) coral thermal tolerance with Heron Island, Great Barrier Reef values measured in 2022 (Influence of environmental pH variability and thermal sensitivity on the resilience of reef-building corals to acidification stress) Variable temperature regimes that expose corals to sub-lethal heat stress have been recognized as a mechanism to increase coral thermal tolerance and lessen coral bleaching. However, there is a need to better understand which thermal regimes maximize coral stress hardening. Here, standardized thermal stress assays were used to determine the relative thermal tolerance of three divergent genera of corals (Acropora, Pocillopora, Porites) originating from six reef sites representing an increasing gradient of annual mean diel temperature fluctuations of 1–3°C day-1. Bleaching severity and dark-acclimated photochemical yield (i.e., Fv/Fm) were quantified following exposure to five temperature treatments ranging from 23.0 to 36.3°C (see Related Datasets).  This data set contains the comparison of thermal tolerance across studies.\n\ncdm_data_type = Other\nVARIABLES:\nLocation (unitless)\nGenus (unitless)\nSpecies (unitless)\nReef (unitless)\ned50 (degrees Celsius (degC))\nLower (degrees Celsius (degC))\nUpper (degrees Celsius (degC))\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_926911_v1/index.htmlTable https://www.bco-dmo.org/dataset/926911 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_926911_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_926911_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_926911_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_914723_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_914723_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_914723_v1/ public [Short-term heat stress assay: Photochemical yield data] - Photochemical yield and bleaching severity data from a standardized short-term (18 hour) heat stress assay of Montipora capitata and Porites compressa collected at a patch reef in Kane'ohe Bay, O'ahu, Hawai'i in September of 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.  This dataset includes the photochemical yield from the standardized short-term (18 hour) heat stress assay.\n\ncdm_data_type = Other\nVARIABLES:\nTreatment (unitless)\nTemperature (degrees Celcius)\nSpecies (unitless)\nBleach (unitless)\nColony_ID (unitless)\nRep (unitless)\nF (unitless)\nY (unitless)\nM (unitless)\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_914723_v1/index.htmlTable https://www.bco-dmo.org/dataset/914723 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_914723_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_914723_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_914723_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_914715_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_914715_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_914715_v1/ public [Short-term heat stress assay: Temperature data] - Temperature data from a standardized short-term (18 hour) heat stress assay of Montipora capitata and Porites compressa collected at a patch reef in Kane'ohe Bay, O'ahu, Hawai'i in September of 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. This dataset includes the temperature data from the standardized short-term (18 hour) heat stress assay.\n\ncdm_data_type = Other\nVARIABLES:\nDate (unitless)\ntime_local (Time, unitless)\nhour (hours)\nTemperature (degrees celcius)\nTreatment (unitless)\nDate_Time (unitless)\ntime (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_914715_v1/index.htmlTable https://www.bco-dmo.org/dataset/914715 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_914715_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_914715_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_914715_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_916958_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_916958_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_916958_v1/ public [Siphonophore bulk stable isotopes] - Bulk stable isotopes from siphonophores collected during four research cruises on the R/V Wester Flyer in the California Current Ecosystem between 2019 and 2021 (Collaborative research: The effects of predator traits on the structure of oceanic food webs) Samples of siphonophores (Cnidaria, Hydrozoa) were collected using blue‑water diving, midwater trawls, and remotely operated vehicles in the California Current Ecosystem, from 0 to 3,000 meters depth. Siphonophore samples were collected on four research cruises on the R/V Wester Flyer between 2019-2021. To remove potential biases associated with tissue‑specific variability in stable isotope values, the gelatinous swimming bells (nectophores) of siphonophores were sampled. This approach was possible for most specimens, except for physonect species that are extremely fragile or have nectosomes that are a small fraction of the colony length and are often not collected. For these species (e.g., Apolemia spp.), the gelatinous bracts and pieces of the siphosome, excluding gastrozooids, were used. For small individuals (Diphyes dispar, Nanomia bijuga, and Sphaeronectes koellikeri), nectophores from several colonies that were captured at the same time and sampling location were pooled to obtain an adequate mass for isotope analyses. A subset of samples was selected for compound-specific isotope analysis of amino acids. These specific taxa were selected as representatives of different depth habitats, suborders, and hypothesized diets. Bulk and compound-specific isotope analyses were performed at the University of Hawaii's Biogeochemistry Stable Isotope Facility. This dataset includes the bulk stable isotope measurements along with metadata for specimens when possible (collection month and year, latitude, longitude, depth).\n\ncdm_data_type = Other\nVARIABLES:\nShip (unitless)\nChief_Scientist (unitless)\nCruise_Name (unitless)\nYear (unitless)\nMonth (unitless)\nFamily (unitless)\nGenus (unitless)\nBest_Taxonomic_ID (unitless)\ndepth (Depth_m, m)\nLatitude (degrees_north)\nlongitude (degrees_east)\nEAweight_mg (milligrams (mg))\n... (4 more variables)\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_916958_v1/index.htmlTable https://www.bco-dmo.org/dataset/916958 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_916958_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_916958_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_916958_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_917239_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_917239_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_917239_v1/ public [Siphonophore CSIA-AA] - Compound-specific isotope analysis of amino acids (CSIA-AA) from a subset of siphophore samples collected during four research cruises on the R/V Wester Flyer in the California Current Ecosystem between 2019 and 2021 (Collaborative research: The effects of predator traits on the structure of oceanic food webs) Samples of siphonophores (Cnidaria, Hydrozoa) were collected using blue‑water diving, midwater trawls, and remotely operated vehicles in the California Current Ecosystem, from 0 to 3,000 meters depth. Siphonophore samples were collected on four research cruises on the R/V Wester Flyer between 2019-2021. To remove potential biases associated with tissue‑specific variability in stable isotope values, the gelatinous swimming bells (nectophores) of siphonophores were sampled. This approach was possible for most specimens, except for physonect species that are extremely fragile or have nectosomes that are a small fraction of the colony length and are often not collected. For these species (e.g., Apolemia spp.), the gelatinous bracts and pieces of the siphosome, excluding gastrozooids, were used. For small individuals (Diphyes dispar, Nanomia bijuga, and Sphaeronectes koellikeri), nectophores from several colonies that were captured at the same time and sampling location were pooled to obtain an adequate mass for isotope analyses. A subset of samples was selected for compound-specific isotope analysis of amino acids. These specific taxa were selected as representatives of different depth habitats, suborders, and hypothesized diets. Bulk and compound-specific isotope analyses were performed at the University of Hawaii's Biogeochemistry Stable Isotope Facility. This dataset includes the compound-specific isotope analysis data.\n\ncdm_data_type = Other\nVARIABLES:\nCollection_Date (unitless)\nYear (unitless)\nMonth (unitless)\nGenus (unitless)\nBest_Taxonomic_ID (unitless)\nAlanine (parts per thousand)\nGlycine (parts per thousand)\nThreonine (parts per thousand)\nSerine (parts per thousand)\nValine (parts per thousand)\nLeucine (parts per thousand)\nIsoleucine (parts per thousand)\nProline (parts per thousand)\n... (21 more variables)\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_917239_v1/index.htmlTable https://www.bco-dmo.org/dataset/917239 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_917239_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_917239_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_917239_v1
log in [Site List] - Site list for habitat complexity photos and related datasets sampled along the Northern Central California coast from 2017 and 2021 (Collaborative Proposal: Selection and Genetic Succession in the Intertidal -- Population Genomics of Pisaster ochraceus During a Wasting Disease Outbreak and its Aftermath) Site list for habitat complexity photos and related datasets sampled along the Northern Central California coast from 2017-2021.\n\ncdm_data_type = Other\nVARIABLES:\nSite (unitless)\nCounty (unitless)\nSite_Code (unitless)\nLatitude (degrees_north)\nlongitude (degrees_east)\n BCO-DMO bcodmo_dataset_751658_v3
log in [Sitka Sound Kelp Wet Weights] -  (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, AK 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 of approximately 15m2 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)\nReplicate (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 BCO-DMO bcodmo_dataset_942729_v1
log in [Size Fractionated Chlorophyll Dataset] - Size Fractionated Chlorophyll Measurements 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) This dataset provides size-fractionated (SF) chlorophyll measurements taken across the subtropical front east of New Zealand in October and November 2018. The dataset provides depth-resolved measurements of SF chlorophyll for 0.2 µm, 2 µm and 20 µm sized cells for locations in the subtropical and subantarctic-influenced locations of the subtropical front. Samples for size fractionated chlorophyll a (SF Chla) were analyzed by first gravity filtering a sample (250 mL) through a 20 µm 47-mm polycarbonate filter, then with low vacuum pressure, filtering sequentially through a 2 µm and a 0.2 µm filter. Filters were then folded, placed in 1.5 mL cryovials and frozen (-80 °C) until analysis (Gutiérrez‐Rodríguez et al., 2020). Chla and acidified phaeopigment-a concentrations were measured (within 3 months) using ice-cold 90% acetone extraction by spectrofluorometric methods (APHA 10200 H) on a Varian Cary Eclipse fluorescence spectrophotometer (Rice et al., 2012). In addition to serving as the chlorophyll measurements for size specific C:Chl ratios, size fractionated chlorophyll measurements are crucial in estimating chlorophyll concentrations for various sized autotroph cells. The summed SF chlorophyll is also provided in this dataset as comparison to total chlorophyll sampled in this region. Andrés Gutierrez Rodriguez and his lab were responsible for collection and analysis of this dataset.\n\ncdm_data_type = Other\nVARIABLES:\nCycle (unitless)\nCast (unitless)\ndepth (m)\nLat (degrees_north)\nlongitude (degrees_east)\nDate (unitless)\nChl_a_02 (mg/m^3)\nChl_a_2 (mg/m^3)\nChl_a_20 (mg/m^3)\nSummed_SF_Chl (mg/m^3)\nChl_a_02_percentage (unitless)\nChl_a_2_percentage (unitless)\nChl_a_20_percentage (unitless)\n BCO-DMO bcodmo_dataset_905404_v1
log in [Size-fractionated particulate trace element concentrations determined by ICP-MS from Ocean Station Papa during the 2018 EXPORTS cruise] - Size-fractionated particulate trace element concentrations determined by ICP-MS from Ocean Station Papa during the 2018 EXPORTS cruise (R/V Sally Ride cruise SR1812) (Collaborative Research: Estimation of particle aggregation and disaggregation rates from the inversion of chemical tracer data) Total minor and trace element concentrations were determined by ICP-MS on profiles of size-fractionated (0.8-51um, >51um) particles collected by battery-operated in-situ filtration at Ocean Station Papa in the North Pacific in August 2018 during the 2018 EXPORTS cruise (R/V Sally Ride cruise SR1812).\n\ncdm_data_type = Other\nVARIABLES:\ntime (Datetimeutc, seconds since 1970-01-01T00:00:00Z)\nlatitude (degrees_north)\nlongitude (degrees_east)\nEpoch (unitless)\nstationtype (unitless)\nstation (unitless)\ndepth (Depthm, m)\nvolumeSuporL (liters (L))\nSPTsampleID (unitless)\nLPTsampleID (unitless)\nSr_SPT_CONC_PUMP_pM (picomolar (pM))\nY_SPT_CONC_PUMP_pM (picomolar (pM))\nMo_SPT_CONC_PUMP_pM (picomolar (pM))\nAg_SPT_CONC_PUMP_pM (picomolar (pM))\nCd_SPT_CONC_PUMP_pM (picomolar (pM))\nBa_SPT_CONC_PUMP_pM (picomolar (pM))\nLa_SPT_CONC_PUMP_pM (picomolar (pM))\nCe_SPT_CONC_PUMP_pM (picomolar (pM))\nNd_SPT_CONC_PUMP_pM (picomolar (pM))\nPb_SPT_CONC_PUMP_pM (picomolar (pM))\nTh_SPT_CONC_PUMP_pM (picomolar (pM))\nU_SPT_CONC_PUMP_pM (picomolar (pM))\nAl_SPT_CONC_PUMP_pM (picomolar (pM))\nP_SPT_CONC_PUMP_pM (picomolar (pM))\n... (124 more variables)\n BCO-DMO bcodmo_dataset_946652_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_946504_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_946504_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_946504_v1/ public [Size-fractionated particulate trace element concentrations determined by ICP-MS from the 2021 North Atlantic EXPORTS cruise] - Size-fractionated particulate trace element concentrations determined by ICP-MS from the 2021 North Atlantic EXPORTS cruise (RRS Discovery cruise DY131) (Collaborative Research: Estimation of particle aggregation and disaggregation rates from the inversion of chemical tracer data) Total minor and trace element concentrations were determined by ICP-MS on profiles of size-fractionated (0.8-51um, >51um) particles collected by battery-operated in-situ filtration during the 2021 North Atlantic EXPORTS cruise (RRS Discovery cruise DY131).\n\ncdm_data_type = Other\nVARIABLES:\nStationID (unitless)\nPumpCast (unitless)\nEpoch (unitless)\nlatitude (Latdegn, degrees_north)\nlongitude (Londege, degrees_east)\ntime (Pumpmid_datetime, seconds since 1970-01-01T00:00:00Z)\ndepth (Depthm, m)\nPump (unitless)\nvolumeSuporL (liters (L))\nSPTsampleID (unitless)\nSr_SPT_CONC_PUMP_pM (picomolar (pM))\nY_SPT_CONC_PUMP_pM (picomolar (pM))\nMo_SPT_CONC_PUMP_pM (picomolar (pM))\nAg_SPT_CONC_PUMP_pM (picomolar (pM))\nCd_SPT_CONC_PUMP_pM (picomolar (pM))\nBa_SPT_CONC_PUMP_pM (picomolar (pM))\nLa_SPT_CONC_PUMP_pM (picomolar (pM))\nCe_SPT_CONC_PUMP_pM (picomolar (pM))\nNd_SPT_CONC_PUMP_pM (picomolar (pM))\nPb_SPT_CONC_PUMP_pM (picomolar (pM))\nTh_SPT_CONC_PUMP_pM (picomolar (pM))\nAl_SPT_CONC_PUMP_pM (picomolar (pM))\nP_SPT_CONC_PUMP_pM (picomolar (pM))\nSc_SPT_CONC_PUMP_pM (picomolar (pM))\nTi_SPT_CONC_PUMP_pM (picomolar (pM))\n... (112 more variables)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_946504_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_946504_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_946504_v1/index.htmlTable https://www.bco-dmo.org/dataset/946504 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_946504_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_946504_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_946504_v1
log in [SOLARIS Superoxide and Standard CTD Profiles] - SOLARIS superoxide and standard 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) SOLARIS superoxide profiles and standard CTD profiles including oxygen, turbidity, fluorescence, temperature, and PAR data from seven 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_name (unitless)\ncast_number (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\nDate (unitless)\nTime_Start_UTC (unitless)\ntime (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\ndepth (Depth_m, m)\nSuperoxide_nM (nanomolar (nm))\nOxygen_uM (micromolar (um))\nPAR (mol?m ?2 ?s ?1.)\nFluorescence (mg/m^3)\nTurbidity_NTU (NTU (Nephelometric Turbidity Unit))\nTemp_C (degrees Celsius (°C))\nSalinity_PSU (PSU)\n BCO-DMO bcodmo_dataset_935118_v1
log in [SPC-UW-ZooCam classified zooplankton images] - Classified Zooplankton ZooCam Images Captured by the Hoodsport ORCA Profiling Mooring Mounted SPC-2 Zoocam in the Hood Canal, Puget Sound, Washington from July to September 2018 (Zooplankton Swimming project) (Causes and consequences of hypoxia and pH impacts on zooplankton: Linking movement behavior  to vertical distribution.) This dataset consists of images of individual zooplankton taken by an in-situ camera system (the SPC UW ZooCam) that was deployed on the Hoodsport ORCA profiling mooring in Hood Canal (Puget Sound), WA in summer 2018. Images were taxonomically identified by expert zooplankton ecologists. These images are sorted into folders by taxonomic identification and were used as a training set for Machine Learning classification of unknown images to study the behavior of zooplankton under varying ocean conditions.\n\ncdm_data_type = Other\nVARIABLES:\nfilename (unitless)\nrelative_filepath (unitless)\nfilesize_bytes (bytes)\nmd5sum (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\naugmented_image_flag (unitless)\ndatetime_utc (unitless)\nroi_x (image_analysis)\nroi_y (image_analysis)\nroi_w (image_analysis)\nroi_h (image_analysis)\nroi_image_size (pixels)\n BCO-DMO bcodmo_dataset_927518_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_929286_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_929286_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_929286_v1/ public [Species Sizes] - Lengths 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 2003 were not conducted by the same teams or with the same methods except that all surveys were done using Scuba along 30-meter x 2-meter transects randomly placed in the subtidal zone in rocky habitats dominated by bull kelp, Nereocystis luetkeana, forests. These randomly placed band transect 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\nOrganisms along the transect were identified and measured on the longest axis to the nearest millimeter by the divers. Sea urchin and abalone species were identified and measured for every dive transect. However, data on associated species differed depending on resources, the year, and the focus of the studies in response to ecosystem conditions.\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)\nMonth (unitless)\nDay (unitless)\nTimezone (unitless)\nSpeciesID (unitless)\nScientificName (unitless)\n... (7 more variables)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_929286_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_929286_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_929286_v1/index.htmlTable https://www.bco-dmo.org/dataset/929286 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_929286_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_929286_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_929286_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_907464_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_907464_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_907464_v1/ public [Specific Dynamic Action of larval grunion - Experiment 1] - Differences in mean oxygen consumption of fed and unfed larvae used to understand the metabolic cost of digestion, Specific Dynamic Action (SDA), under ocean acidification and warming treatments - Experiment 1 (RUI: Evaluating selection via ocean acidification and evolutionary responses of two coastal fishes) These data include the differences in mean oxygen consumption of fed and unfed larvae used to understand the metabolic cost of digestion, Specific Dynamic Action (SDA), under ocean acidification and warming treatments. Data was collected in the summers of 2021 and 2022 using a microplate reader system that uses optical fluorescence to measure dissolved oxygen concentrations in water. Knowing the energetic cost of digestion under future climate change is important as studies, particularly on larval fish, begin to investigate how energy budgets will change. These data help us to understand an important part of daily metabolic costs and how that cost might change under ocean acidification and warming. Data were collected by Emma Siegfried and Dr. Darren Johnson at California State University, Long Beach. These data are from Experiment 1 and they contain delta VO2 values to describe the SDA curve for a single feeding at a single temperature (20 degrees Celsius).\n\ncdm_data_type = Other\nVARIABLES:\ntime_elapsed (hours)\ndeltaVO2 (milligrams O2 per liter per hour)\ndeltaVO2_SE (milligrams O2 per liter per hour)\nDPH (days)\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_907464_v1/index.htmlTable https://www.bco-dmo.org/dataset/907464 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_907464_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_907464_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_907464_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_924613_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_924613_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_924613_v1/ public [Specific Dynamic Action of larval grunion - Experiments 2a and 2b] - Differences in mean oxygen consumption of fed and unfed larvae used to understand the metabolic cost of digestion, Specific Dynamic Action (SDA), under ocean acidification and warming treatments - Experiments 2a and 2b (RUI: Evaluating selection via ocean acidification and evolutionary responses of two coastal fishes) These data include the differences in mean oxygen consumption of fed and unfed larvae used to understand the metabolic cost of digestion, Specific Dynamic Action (SDA), under ocean acidification and warming treatments. Data was collected in the summers of 2021 and 2022 using a microplate reader system that uses optical fluorescence to measure dissolved oxygen concentrations in water. Knowing the energetic cost of digestion under future climate change is important as studies, particularly on larval fish, begin to investigate how energy budgets will change. These data help us to understand an important part of daily metabolic costs and how that cost might change under ocean acidification and warming. Data were collected by Emma Siegfried and Dr. Darren Johnson at California State University, Long Beach. These data are from experiments 2a and 2b. Experiment 2a contains delta VO2 values to describe the SDA curve for a single feeding under 4 experimental treatments (low temperature & low CO2; low temperature & high CO2; high temperature & low CO2; high temperature & high CO2). In experiment 2a, food ration was increased at high temperatures. Experiment 2b contains delta VO2 values to describe the SDA curve for a single feeding under the same 4 experimental treatments, except that food ration was held constant across all temperature and CO2 treatments.\n\ncdm_data_type = Other\nVARIABLES:\nexperiment_ID (unitless)\nDPH (days)\ndeltaVO2 (milligrams O2 per liter per hour)\ndeltaVO2_SE (milligrams O2 per liter per hour)\ntemperature (degrees Celsius)\nOA_treat (unitless)\npCO2 (microatmospheres)\ntime_elapsed (hours)\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_924613_v1/index.htmlTable https://www.bco-dmo.org/dataset/924613 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_924613_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_924613_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_924613_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_890333_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_890333_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_890333_v1/ public [Sponge Density, Morphology, and Assemblages] - Sponge Density, Morphology, and Assemblages 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 density, morphology, and assemblages 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)\nTransect (unitless)\npcnt_Excavating (percent)\npcnt_Encrusting (percent)\npcnt_Massive (percent)\npcnt_Upright (percent)\nSponge_density (number of sponges per square meter)\nOscarella_filipoi (unitless)\nOscarella_sp_1 (unitless)\nOscarella_sp_2 (unitless)\nPlakinastrella_cf_onkodes (unitless)\nPlakortis_angulospiculatus (unitless)\n... (148 more variables)\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_890333_v1/index.htmlTable https://www.bco-dmo.org/dataset/890333 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_890333_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_890333_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_890333_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_924340_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_924340_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_924340_v1/ public [Squid tag movement data and environmental sampling] - Squid tag movement data and environmental sampling acquired in November 2021 and May 2023 near Faial and Pico Islands, Azores archipelago. (RAPID: Too hot to hold: Effects of unseasonable warming on the Azores nekton community and its keystone taxon) ITAGs were used to measure squid movement dynamics. The sensor package was small (12.5 × 2.6 × 2.7 cm) and was affixed using surgical sutures . Additionally, ITAGs were neutrally buoyant, hydrodynamic, and focal tagged squid exhibited normal swimming and schooling behaviors with other conspecifics. ITAGs contain an inertial measurement unit (IMU) which measures acceleration, magnetic field strength, and angular velocity. These tags were used to measure the swimming behavior or free-ranging animals in the Azores region in November 2021, and May 2023. These data provide movement intensities, behaviors, and allow us to measure the environment including light, temperature, and the animal's depth. Here, we are submitting the tag data from the free-ranging animals in matrix form (.csv).\n\ncdm_data_type = Other\nVARIABLES:\nspecies (unitless)\nyear (unitless)\njulian_day (unitless)\ndate (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\nsensor_id (unitless)\ntime_vector (unitless)\nsurge_acceleration (gravities)\nsway_acceleration (gravities)\nheave_acceleration (gravities)\nx_magnetic_field_strength (microTesla)\ny_magnetic_field_strength (microTesla)\nz_magnetic_field_strength (microTesla)\nx_angular_velocity (degress/sec)\ny_angular_velocity (degress/sec)\nz_angular_velocity (degress/sec)\nred_light (micro Watts per cm2)\nblue_light (micro Watts per cm2)\ngreen_light (micro Watts per cm2)\ntemperature (degrees Celsius (°C))\npressure (millibar)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_924340_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_924340_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_924340_v1/index.htmlTable https://www.bco-dmo.org/dataset/924340 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_924340_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_924340_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_924340_v1
log in [Squidpop 2021 2022] - Squidpop predation data collected at various temperatures from multiple sites in San Cristobal, Galapagos from 2021-2022 (Galapagos 2021 project) (Temperature Regulation of Top-Down Control in a Pacific Upwelling System) These data set contain results from trials used to measured predation rates by fish across time and sites showing  a temperature gradient in San Cristobal, Galapagos. We used the squidpop protocol, an assay based in setting 25 stakes with squid bait for one hour in the reefs. Afterward we count how many bait were eaten to have a measure of predation rate.  We did this on 15 sites. In 6 of this sites we conducted the assay every two months for 15 months.  Measuring the relationship between temperature and predation on reefs will allow us to understand better the role of temperature on moderating predation on marine communities.\n\ncdm_data_type = Other\nVARIABLES:\nYear (unitless)\nMonth (unitless)\nLocality (unitless)\nSamplingTrial (unitless)\nSeason (unitless)\nHabitat (unitless)\ndepth (m)\nTemperature (Celcius)\ntime_unitless (Time, unitless)\nSquidpop (unitless)\nEaten (unitless)\nCode (unitless)\nNote (unitless)\n BCO-DMO bcodmo_dataset_898371_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_894249_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_894249_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_894249_v1/ public [Squidpop Assays 2021] - Results from predation assays (squidpops) conducted along rocky reefs of the Western coast of San Cristobal, Galapagos from June to November 2021 to determine fish predation intensity across a spatial and temporal temperature gradient (The Role of Temperature in Regulating Herbivory and Algal Biomass in Upwelling Systems) This dataset contains results from predation assays (squidpops) to determine fish predation intensity across a spatial and temporal gradient of temperature. Assays were conducted between June and November 2021 at six locations of rocky reefs along the Western coast of San Cristobal, the eastern Island of the Galapagos Archipelago.\n\ncdm_data_type = Other\nVARIABLES:\nYear (unitless)\nMonth (unitless)\nDate (unitless)\nTime_Local (unitless)\nISO_DateTime_Local (unitless)\ntime (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\nCode1 (unitless)\nLocality (unitless)\nLatitude (degrees_north)\nlongitude (degrees_east)\nSeason (unitless)\nHabitat (unitless)\ndepth (m)\nTemperature (degrees Celsius)\nSquidpop (unitless)\nEaten (unitless)\nCode2 (unitless)\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_894249_v1/index.htmlTable https://www.bco-dmo.org/dataset/894249 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_894249_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_894249_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_894249_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_930162_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_930162_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_930162_v1/ public [SR2114 MOCNESS Net Data] - MOCNESS net data from R/V Sally Ride cruise SR2114 in the Eastern Tropical Pacific from December 2021 to January 2022 (Collaborative Research: Multiyear autonomous measurement of N-loss in the ETNP ODZ) This dataset includes the environmental data (salinity, temperature, oxygen, density, depth) from the eight MOCNESS tows on the SR2114 expedition onboard the R/V Sally Ride in December 2021 to January 2022. It also includes the larval abundance of the most abundant species and the zooplankton biovolume, as well as the larval abundance by development stage. These results are published in Gutierrez Bravo, et al. (2024).\n\ncdm_data_type = Other\nVARIABLES:\nStation (unitless)\nEvent (unitless)\nMOC_Num (unitless)\nDate (unitless)\nNBf (unitless)\nStratum (unitless)\nDistance (kilometers (km))\nDensity00 (grams per kilogram (g/kg))\ndepth (m)\nlatitude (degrees_north)\nlongitude (degrees_east)\nSbox0Mm_Kg (micromoles per kilogram (umol/kg))\nSal00 (PSU)\nT090C (degrees Celsius)\nGsw_saA0 (degrees Celsius)\nGsw_ctA0 (PSU)\nBiovolume (milliliters per 1000 cubic meters)\nLarval_Abundance (larvae per 1000 cubic meters)\nAuxis_sp (larvae per 1000 cubic meters)\nBenthosema_panamense (larvae per 1000 cubic meters)\nBregmaceros_bathymaster (larvae per 1000 cubic meters)\nCyclothone_sp (larvae per 1000 cubic meters)\nDiaphus_pacificus (larvae per 1000 cubic meters)\n... (11 more variables)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_930162_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_930162_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_930162_v1/index.htmlTable https://www.bco-dmo.org/dataset/930162 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_930162_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_930162_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_930162_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_908200_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_908200_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_908200_v1/ public [Stable Isotope measurements – experimental animals] - Carbon and Nitrogen stable isotope measurements for experimental 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) Carbon and Nitrogen stable isotope measurements for experimental 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 (centimeters (cm))\nTank_number (unitless)\nAcclimation_days (days)\nDays_after_acclimation (days)\nTreatment (unitless)\nDiet_fed (unitless)\nNotes (unitless)\nPrimary_check (unitless)\nd13C (per mil)\npercent_C (percentage)\nd15N (per mil)\npercent_N (percentage)\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_908200_v1/index.htmlTable https://www.bco-dmo.org/dataset/908200 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_908200_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_908200_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_908200_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_908171_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_908171_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_908171_v1/ public [Stable Isotope measurements – field and lab samples] - Carbon and Nitrogen stable isotope measurements for various marine samples collected from the Gulf of Mexico as well as eggs, animals, and food sources collected in the laboratory and commercial sources from 2020 to 2022. (Counter-gradient Flow of Fatty Acids in Marine Food Webs Through Egg Boons) Carbon and Nitrogen stable isotope measurements for various marine samples collected from the Gulf of Mexico Estuary near Port Aransas, Texas from 2020 to 2022 as well as eggs, animals, and food sources from the laboratory and commercial sources from 2020 to 2022.\n\ncdm_data_type = Other\nVARIABLES:\nTaxon (unitless)\nCommon_name (unitless)\nSample_ID (unitless)\nClassification (unitless)\nWeight (milligrams (mg))\nDate_collected (unitless)\nSite (unitless)\nLength (centimeters (cm))\nNotes (unitless)\nPrimary_check (unitless)\nd13C (per mil)\npercent_C (percentage)\nd15N (per mil)\npercent_N (percentage)\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_908171_v1/index.htmlTable https://www.bco-dmo.org/dataset/908171 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_908171_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_908171_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_908171_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_928980_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_928980_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_928980_v1/ public [STING I and STING II extracted chlorophyll a and pheophytin] - Chlorphyll a and pheophytin from two cruises performed as part of the STING project from R/V Atlantic Explorer AE2305 (Sting I cruise) and R/V Endeavor EN704 (Sting II cruise) in the Gulf of Mexico near Florida from February to July 2023 (Collaborative Research: Linking iron and nitrogen sources in an oligotrophic coastal margin: Nitrogen fixation and the role of boundary fluxes) These data include the average (n=3 replicates per measurement) measured chlorphyll a and pheophytin from two cruises performed as part of the STING project.  STING I (AE2305) was aboard the R/V Atlantic Explorer from 2023-02-20 to 2023-03-06. STING II (EN704) was aboard the R/V Endeavor from 2023-07-01 to 2023-07-12.\n\ncdm_data_type = Other\nVARIABLES:\nCruise (unitless)\nStation (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\ndepth (m)\nDate (unitless)\nSTING_ID (unitless)\nCollection (unitless)\nType (unitless)\nChla (micrograms/liter (ug/l))\nPheophytin (micrograms/liter (ug/l))\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_928980_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_928980_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_928980_v1/index.htmlTable https://www.bco-dmo.org/dataset/928980 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_928980_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_928980_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_928980_v1
log in [STING macronutrient concentrations] - Dissolved Macronutrient Concentrations from Depth Profiles and Incubation Experiments from STING I Cruise AE2305 on R/V Atlantic Explorer in the Gulf of Mexico from February to March 2023 (Collaborative Research: Linking iron and nitrogen sources in an oligotrophic coastal margin: Nitrogen fixation and the role of boundary fluxes) Concentrations of inorganic dissolved macronutrients, including phosphate, nitrate plus nitrite (N+N), silicic acid, and nitrite, from phytoplankton shipboard incubation experiments and depth profiles collected on STING I cruise AE2305 on R/V Atlantic Explorer in the Gulf of Mexico from February to March 2023.\n\nThis project investigates how groundwater discharge delivers important nutrients to the coastal ecosystems of the West Florida Shelf. Preliminary studies indicate that groundwater may supply both dissolved organic nitrogen (DON) and iron in this region. In coastal ecosystems like the West Florida Shelf that have very low nitrate and ammonium concentrations, DON is the main form of nitrogen available to organisms. Nitrogen cycling is strongly affected by iron availability because iron is essential for both photosynthesis and for nitrogen fixation. This study will investigate the sources and composition of DON and iron, and their influence on the coastal ecosystem. The team will sample offshore groundwater wells, river and estuarine waters, and conduct two expeditions across the West Florida Shelf in winter and summer.\n\ncdm_data_type = Other\nVARIABLES:\nEVTNBR (unitless)\ntime (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\nDATE_UTC (unitless)\nTIME_UTC (unitless)\nDATE_GMT (unitless)\nTIME_GMT (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\nPLATFORM (unitless)\nCASTNBR (unitless)\nSTNNBR (unitless)\nBTLNBR (unitless)\ndepth (m)\nPO4 (micromoles per liter (uM))\n... (20 more variables)\n BCO-DMO bcodmo_dataset_929305_v1
log in [STING macronutrient concentrations] - Dissolved Macronutrient Concentrations from Depth Profiles and Incubation Experiments from STING I Cruise AE2305 on R/V Atlantic Explorer in the Gulf of Mexico from February to March 2023 (Collaborative Research: Linking iron and nitrogen sources in an oligotrophic coastal margin: Nitrogen fixation and the role of boundary fluxes) Concentrations of inorganic dissolved macronutrients, including phosphate, nitrate plus nitrite (N+N), silicic acid, and nitrite, from phytoplankton shipboard incubation experiments and depth profiles collected on STING I cruise AE2305 on R/V Atlantic Explorer in the Gulf of Mexico from February to March 2023.\n\nThis project investigates how groundwater discharge delivers important nutrients to the coastal ecosystems of the West Florida Shelf. Preliminary studies indicate that groundwater may supply both dissolved organic nitrogen (DON) and iron in this region. In coastal ecosystems like the West Florida Shelf that have very low nitrate and ammonium concentrations, DON is the main form of nitrogen available to organisms. Nitrogen cycling is strongly affected by iron availability because iron is essential for both photosynthesis and for nitrogen fixation. This study will investigate the sources and composition of DON and iron, and their influence on the coastal ecosystem. The team will sample offshore groundwater wells, river and estuarine waters, and conduct two expeditions across the West Florida Shelf in winter and summer.\n\ncdm_data_type = Other\nVARIABLES:\nEVTNBR (unitless)\ntime (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\nDATE_UTC (unitless)\nTIME_UTC (unitless)\nDATE_GMT (unitless)\nTIME_GMT (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\nPLATFORM (unitless)\nCASTNBR (unitless)\nSTNNBR (unitless)\nBTLNBR (unitless)\ndepth (m)\nPO4 (micromoles per liter (uM))\n... (20 more variables)\n BCO-DMO bcodmo_dataset_929305_v2
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_928527_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_928527_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_928527_v1/ public [Substrate Coverage] - Percent coverage along a transect or subsample of each of four substrate types 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, and span the major marine heatwave of 2014-2016. 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 include the number of live, dying (in some years during the mass mortality events), and 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\nThis dataset provides in situ estimates of the coverage of the substrate along each survey transect as a percentage of four substrate types: reef, boulder, cobble, and sand.\n\ncdm_data_type = Other\nVARIABLES:\nSurvey_Num (unitless)\nDFW_short_code (unitless)\nSiteName (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\n... (16 more variables)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_928527_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_928527_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_928527_v1/index.htmlTable https://www.bco-dmo.org/dataset/928527 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_928527_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_928527_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_928527_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_927507_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_927507_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_927507_v1/ public [Substrate-specific metabolic responses of model marine bacteria using proteomics] - Normalized protein abundance data and protein annotations for proteomic data from laboratory cultures of Ruegeria pomeroyi DSS-3 and Alteromonas macleodii MIT1002 in 2022 (C-CoMP Model Bacteria Physiological Studies) This dataset includes normalized protein abundance data and protein annotations for proteomic data from cultures of Ruegeria pomeroyi DSS-3 and Alteromonas macleodii MIT1002. These model marine bacteria were grown in defined culture media with either glucose, acetate, or a mix of both as carbon substrates. The data are sampled so as to capture the metabolic differences the bacteria employ when catabolizing these different substrates and when switching between them. The raw proteomics files are available on the Proteomics IDEntification Database (PRIDE) under accession PXD045824. The proteomic data accompanies the transcriptomic expression data available at BCO-DMO dataset 916134 (https://www.bco-dmo.org/dataset/916134).\n\ncdm_data_type = Other\nVARIABLES:\nSpecies (unitless)\nStrain (unitless)\ngene_callers_id (unitless)\nac_mean_abund (unitless)\nglc_mean_abund (unitless)\nlate_mean_abund (unitless)\nearly_mean_abund (unitless)\nSPO_ID_ACCESSION (unitless)\nKOfam_ACCESSION (unitless)\nKEGG_Module (unitless)\nCOG20_FUNCTION (unitless)\nUniprot_accession (unitless)\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_927507_v1/index.htmlTable https://www.bco-dmo.org/dataset/927507 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_927507_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_927507_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_927507_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_916134_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_916134_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_916134_v1/ public [Substrate-specific metabolic responses of model marine bacteria] - Metadata for transcriptomic expression data from cultures of Ruegeria pomeroyi DSS-3 and Alteromonas macleodii MIT1002 grown in defined culture media with either glucose, acetate, or a mix of both as carbon substrates (C-CoMP Model Bacteria Physiological Studies) This dataset includes metadata for transcriptomic expression data from cultures of Ruegeria pomeroyi DSS-3 and Alteromonas macleodii MIT1002. These model marine bacteria were grown in defined culture media with either glucose, acetate, or a mix of both as carbon substrates. The data are sampled so as to capture the metabolic differences the bacteria employ when catabolizing these different substrates and when switching between them. The raw RNA sequences (50 bp reads in fastq format) have been submitted to the National Center for Biotechnology Information (NCBI) Sequence Read Archive (SRA) under BioProject PRJNA972985 (https://www.ncbi.nlm.nih.gov/bioproject/972985).\n\ncdm_data_type = Other\nVARIABLES:\nSample_Name (unitless)\nAccession (unitless)\nBioProject (unitless)\nOrganism (unitless)\nStrain (unitless)\nTax_ID (unitless)\nGlucose_initial_concentration_uM (micromolar concentration)\nAcetate_initial_concentration_uM (micromolar concentration)\nSample_description (unitless)\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_916134_v1/index.htmlTable https://www.bco-dmo.org/dataset/916134 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_916134_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_916134_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_916134_v1
log in [Subsurface Nitrospirota and Nitrospinota Origins] - Collection of subsurface bacteria Nitrospirota and Nitrospinota genome data including IMG and NCBI accessions for sequence datasets in June 2021 (Slow Life in Crust project) (Microbial activity in the crustal deep biosphere) The phyla Nitrospirota and Nitrospinota have received significant research attention due to their unique mitrogen metabolisms important to biogeochemical and industrial processes. These phyla are common inhabitants of marine and terrestrial subsurface environments and contain members capable of diverse physiologies in addition to nitrite oxidation and complete ammonia oxidation. We used phylogenomics and gene-based analysis with ancestral state reconstruction and gene-tree-species tree reconciliation methods to investigate the life histories of these two phyla. This dataset includes list of previously-published sequence datasets that were used for the analysis. The data and interpretations are published at DOI 10.1038/s41396-023-01397-x. Additional metadata such as NCBI accessions, assembly release dates, and NCBI taxon ids were added in December 2024.\n\ncdm_data_type = Other\nVARIABLES:\nID (unitless)\nIMG_genome_id (unitless)\nGenBank_assembly (unitless)\nSample (unitless)\nCorrected_BioSample (unitless)\nBioProject (unitless)\nrelease_date (unitless)\nlast_updated_date (seconds since 1970-01-01T00:00:00Z)\npublication_date (seconds since 1970-01-01T00:00:00Z)\nDomain (unitless)\nPhylum (unitless)\nClass (unitless)\nOrder (unitless)\nFamily (unitless)\nGenus (unitless)\nSpecies (unitless)\nNCBI_organism_taxid (unitless)\nIsolation_Source (unitless)\nIsolationPlot (unitless)\n... (11 more variables)\n BCO-DMO bcodmo_dataset_933610_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_917767_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_917767_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_917767_v1/ public [Subterranean Estuary In Situ Tracer Experiment Incubation Data, 2019] - In situ tracer injection experiment conducted with 15N-labeled ammonium in a shallow, sandy subterranean estuary in Gloucester Point, USA  in August 2019. (Collaborative Research:  Cryptic nitrogen cycling in the anoxic subterranean estuary) These data are the result of an in situ tracer injection experiment conducted with 15N-labeled ammonium to determine the fate and transport rates of ammonium within a shallow, sandy subterranean estuary in Gloucester Point, VA, USA. \n\nReplicate injections of 15N-labeled ammonium, sulfur hexaflouride, and bromide amended porewater were injected into piezometers at 50cm.  Porewater was then collected overtime from the injection piezometers and tracer piezometers surrounding the injection site ranging in depth from 40-60cm.  At each time point, samples were collected to analyze dissolved inorganic nitrogen (nitrate, nitrite, and ammonium) concentrations, sulfur hexaflouride, bromide, chloride. Nitrate and nitrite samples from porewater were analyzed with an isotope ratio mass spectrometer in order to assess the 15N enrichment of the nitrate in each sample resulting in a delta value (d15N) that allows for the calculation of the mole fraction of 15N-labeled nitrite and nitrate in porewater at each time point. The production or consumption over time constitutes subterranean estuary nitrogen cycling rates (e.g. nitrification, denitrification, etc.).\n\ncdm_data_type = Other\nVARIABLES:\nSite_Name (unitless)\nLatitude (degrees_north)\nlongitude (degrees_east)\nPiezometer (unitless)\nSample_ID (unitless)\nTime_Point (unitless)\nDate (unitless)\nTime (unitless)\nHours_after_Injection (hours (hrs))\nBromide_uM (micromoles per liter (uM))\nChloride_mM (millimoles per liter (mM)\nSF6_ppbv (parts per billion per volume (ppbv))\nSF6_pM (picoMolar (pM))\nNox_uM (micromoles per liter (uM))\n... (4 more variables)\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_917767_v1/index.htmlTable https://www.bco-dmo.org/dataset/917767 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_917767_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_917767_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_917767_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_915302_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_915302_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_915302_v1/ public [Subterranean Estuary Sediment Nitrification Incubation Data, 2020] - Sediment Nitrification Incubation data of a subterrarnian estuary core take in July 2020 in Gloucester Point, Virginia (Collaborative Research:  Cryptic nitrogen cycling in the anoxic subterranean estuary) These data are the result of a sediment slurry incubation experiment conducted with 15N-labeled ammonium to quantify nitrification rates in the sediments of a shallow, sandy subterranean estuary in Gloucester Point, VA, USA. Triplicate sediment cores that were 50cm in length were collected and sectioned into 10cm intervals. Homogenized sediment was incubated with porewater from the same depth interval that had been amended with 15N-labeled ammonium. Sediments were incubated in the dark for zero, six and twelve hours. At each time point, samples were collected to analyze dissolved inorganic nitrogen (nitrate, nitrite, and ammonium) concentrations. Samples were analyzed with an isotope ratio mass spectrometer in order to assess the 15N enrichment of the nitrate in each sample resulting in a delta value (d15N) that allows for the calculation of the mole fraction of 15N-labeled nitrate produced by each slurry. This production over time constitutes the sediment nitrification rate for each depth interval.\n\ncdm_data_type = Other\nVARIABLES:\nDate (unitless)\nSite (unitless)\nLatitude (degrees_north)\nlongitude (degrees_east)\nDepth_Interval (centimeter (cm))\nReplicate (unitless)\nIncubation_Time_Point (unitless)\nIncubation_Hours (hours (hr))\nSample_ID (unitless)\nNOX (micromoles per liter (uM))\nNO3 (micromoles per liter (uM))\nNO2 (micromoles per liter (uM))\nNH4 (micromoles per liter (uM))\nd15N (parts per thousand (‰))\nMole_Fraction_15N (unitless)\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_915302_v1/index.htmlTable https://www.bco-dmo.org/dataset/915302 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_915302_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_915302_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_915302_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_929825_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_929825_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_929825_v1/ public [Subtidal Ocean Water Temperature at Van Damme State Park, CA] - Subtidal ocean water temperature at Van Damme State Park, California, from May 1992 to August 2023 (Collaborative Research: The effects of marine heatwaves on reproduction, larval transport and recruitment in sea urchin metapopulations) Ocean water temperatures were collected from May 14, 1992 to August 22, 2023 (these logger deployments are ongoing) from 10 meters benthic depth, at Van Damme State Park, Mendocino County, Northern California. Water temperatures were collected with Onset Hobotemp® and TidbiT® temperature loggers in degrees Celsius. Data are presented as daily averages of 10-minute minimum intervals.\n\nOcean water temperatures were collected to document long-term temperature conditions on the bottom at the level of the reef. Loggers were placed 1 meter off the bottom on stainless steel cages used to monitor juvenile abalone and sea urchin recruitment at this reference location.\n\nWater temperatures are presented as daily averages for the period of record. Some data gaps exist due to equipment failure, loss, or rough conditions precluding placement of data loggers. The data gaps are listed in the “Problems/Issues” section below.\n\nThese data are unique in that they are benthic seawater temperature data (1 meter from the bottom where the benthic animals live) which can be used to compare with the more readily available sea surface temperature data.\n\ncdm_data_type = Other\nVARIABLES:\nDate (unitless)\nMean_Daily_Temperature_C (degrees Celsius)\nlatitude (Site_latitude, degrees_north)\nlongitude (Site_longitude, degrees_east)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_929825_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_929825_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_929825_v1/index.htmlTable https://www.bco-dmo.org/dataset/929825 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_929825_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_929825_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_929825_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_933334_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_933334_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_933334_v1/ public [Summary data from the Heatwaves and Coral-Recovery Database (HeatCRD)] - Summary data from the Heatwaves and Coral-Recovery Database (HeatCRD) covering global coral reef sites from 1977-2020 (Thermal stress and differential recovery of coral reefs) This dataset is a summary table of the Heatwaves and Coral-Recovery Database (HeatCRD) introduced in van Woesik and Kratochwill (2024). The HeatCRD is the most comprehensive reference on coral recovery following marine heatwaves and other disturbances, encompassing 29,205 data records spanning 44 years from 12,266 sites, 83 countries, and 160 data sources. These data provide essential information to coral-reef scientists and managers to best guide coral-reef conservation efforts at both local and regional scales.\nThe dataset includes metadata for coral reef sampling events, such as site descriptions, geographical coordinates, depth, distance to shore, exposure, turbidity, coral cover percentages, MPA descriptions, temperature measurements, windspeed, and thermal stress indicators over 23 years.\n\nSee van Woesik and Kratochwill (2024) https://doi.org/10.1038/s41597-024-03221-3 for more information.\n\ncdm_data_type = Other\nVARIABLES:\nSite_ID (unitless)\nSample_ID (unitless)\nlatitude (Latitude_degrees, degrees_north)\nlongitude (Longitude_degrees, degrees_east)\nOcean_Name (unitless)\nRealm_Name (unitless)\nEcoregion_Name (unitless)\nEcoregion_distance (degrees)\nCountry_Name (unitless)\nState_Island_Province_Name (unitless)\nLocation_Name (unitless)\nSite_Name (unitless)\nHabitat_Type (unitless)\nHabitat_Distance (degrees)\nDate_Day (unitless)\nDate_Month (unitless)\n... (59 more variables)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_933334_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_933334_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_933334_v1/index.htmlTable https://www.bco-dmo.org/dataset/933334 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_933334_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_933334_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_933334_v1
log in [Surface Sedimentary Black Carbon Concentrations and Carbon Isotopes Values] - Surface Sedimentary Black Carbon Concentrations, Flux, and Carbon Isotopes Values from the R.V. Endeavor EN651 in the Equatorial Atlantic Ocean from March 2020 (Concentrations and source assessment of black carbon across tropical Atlantic air and sediment) Surface sediments (0-1 cm) were obtained from the equatorial Atlantic Ocean and isolated for black carbon using the chemothermal oxidation at 375°C method (CTO 375). Multicores were taken aboard the R.V. Endeavor (EN651) from March 1st through March 15th, 2020, using a multi corer MC-800. Sediment samples were collected from 12 multicore stations along a west-to-east transect of the equatorial Atlantic centered on about 5˚N. Sediment deposition environments included the Amazon Submarine Fan, a series of sites across the Mid-Atlantic Ridge, and sites on the Sierra Leone Rise and adjacent Sierra Leone Basin. See Figure 1 in the EN651 cruise report (Lohmann 2020) for an illustration of coring site locations.\n\nBackground information taken from the EN651 cruise report (Lohmann 2020)\n\nBlack carbon (BC) is a highly graphitized incomplete combustion byproduct that could be a sink for fixed carbon, especially when deposited to pelagic sediments (Kuhlbusch 1998). There is a general assumption that rivers deliver most or all BC to the ocean (Coppola et al. 2018; Elmquist et al. 2008; Kuhlbusch 1998; Masiello and Druffel 2001; Mitra et al. 2014, 2002; Suman et al. 1997). Yet the effects and fluxes of BC are not well constrained in general circulation models. For example, few BC flux measurements are available in remote ocean sediments due to the expense and difficulty of obtaining samples. The formation of BC during incomplete combustion results in a fraction of carbon not being available for the biological pump and deep ocean respiration. Once deposited to the ocean, BC is buried in sediments and can account for significant fractions of the organic matter preserved in sediments. Hence, our results would contribute towards accounting for some of the ‘missing' terrestrial OC in sediments, as all BC is landmass derived (Hedges et al. 1997).\n\ncdm_data_type = Other\nVARIABLES:\nName (unitless)\nCruise_ID (unitless)\nSite_ID (unitless)\nCoring_Attempt (unitless)\nCore_Letter (unitless)\nCollection_Date (unitless)\n... (13 more variables)\n BCO-DMO bcodmo_dataset_935435_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_926959_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_926959_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_926959_v1/ public [Suspended particle total mercury and monomethylmercury in the California Current Ecosystem (CCE)] - Suspended particle total mercury and monomethylmercury in the California Current Ecosystem (CCE) determined from samples collected on R/V Roger Revelle cruise RR2105 (P2107) in July to August 2021 (California Current Ecosystem Long Term Ecological Research site) This dataset includes concentrations of suspended particulate total mercury and monomethylmercury from 8 upwelling stations and 5 offshore stations (13 stations in total, 2-4 depths per station), during the 2021 CCE LTER Process Cruise (P2107), from July 17th to Aug 9th. Suspended particle samples (1 and 51 micrometers (µm)) were collected with a multiple-unit large-volume in situ filtration system. Sampling depths were from the surface (10 meters) to the deep ocean as deep as 1000 meters.\n\ncdm_data_type = Other\nVARIABLES:\nCruise_ID (unitless)\nCruise_Name (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)\nCast_Number (unitless)\ndepth (Depth_m, m)\ntHg_CONC_SSF_fM (femtomolar (fM))\ntHg_CONC_SSF_FLAG (unitless)\ntHg_CONC_LSF_fM (femtomolar (fM))\ntHg_CONC_LSF_FLAG (unitless)\nMMHg_CONC_SSF_fM (femtomolar (fM))\nMMHg_CONC_SSF_FLAG (unitless)\nMMHg_CONC_LSF_fM (femtomolar (fM))\nMMHg_CONC_LSF_FLAG (unitless)\nCarbon_CONC_SSF_ug_L (microgram per liter (ug/L))\nCarbon_CONC_SSF_FLAG (unitless)\nCarbon_CONC_LSF (microgram per liter (ug/L))\nCarbon_CONC_LSF_FLAG (unitless)\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_926959_v1/index.htmlTable https://www.bco-dmo.org/dataset/926959 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_926959_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_926959_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_926959_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_926311_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_926311_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_926311_v1/ public [Synechococcus Batch Culture Sampling Data] - Synechococcus batch culture data (cell quotas and ratios (C,N,P), size, and diameter) from laboratory experiments in 2021 to 2022 with related isolates cultured across a range of temperatures (16-25C) (Collaborative Research: The stoichiometric trait distribution of the marine microbiome) Diverse phytoplankton modulate the coupling between the ocean carbon and nutrient cycles through life-history traits such as cell size, elemental quotas, and ratios. Biodiversity is mostly considered at broad functional levels, but major phytoplankton lineages are themselves highly diverse. As an example, Synechococcus is found in nearly all ocean regions, and we demonstrate contains extensive intraspecific variation. Here, we grew four closely related Synechococcus isolates in serially transferred cultures across a range of temperatures (16-25°C) to quantify for the relative role of intraspecific trait variation vs. environmental change. We collected data at the time of sampling, after cultures grew for seven doublings or one month.   Experiments were conducted from September of 2021 to early 2022.\n\nThis dataset includes cell quotas (fmol) for carbon (QC), nitrogen (QN), and phosphorus (QP). It also includes N:P, C:N, and C:P stoichiometry, cell size, and cell diameter (µm) for each Synechococcus strain and clade under each thermal condition.\n\ncdm_data_type = Other\nVARIABLES:\nRep (unitless)\nTemp (degrees Celsius (degC))\nStrain (unitless)\nClade (unitless)\nGR (Growth rate per day (d-1))\nQN (femtomoles (fmol))\nQP (femtomoles (fmol))\nQC (femtomoles (fmol))\nFSCH (unitless)\nCN (unitless)\nNP (unitless)\nCP (unitless)\nCell_Diameter_um (micrometers (um))\nGrams_N (grams (g))\nGrams_P (grams (g))\n... (10 more variables)\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_926311_v1/index.htmlTable https://www.bco-dmo.org/dataset/926311 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_926311_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_926311_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_926311_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_929459_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_929459_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_929459_v1/ public [Synechococcus DOP Displacement Experiment] - Laboratory-cultured Synechococcus (WH8102 and WH5701) MUF-P hydrolysis inhibition by dissolved organic phosphorus (DOP) from experiments between 2018-2023 (Collaborative Research: Assessing the role of compound-specific phosphorus hydrolase transformations in the marine phosphorus cycle) The affinity of Synechococcus (WH8102 and WH5701) alkaline phosphatases for different DOP model substrates was examined in laboratory experiments through its ability to inhibit the hydrolysis of the fluorogenic substrate 4-methylumbelliferyl phosphate (MUF-P). These data were collected as part of a study of \"Dissolved organic phosphorus bond-class utilization by Synechococcus\" (Waggoner et al., 2024).\n \nStudy Abstract:\nDissolved organic phosphorus (DOP) contains compounds with phosphoester (P-O-C), phosphoanhydride (P-O-P), and phosphorus-carbon (P-C) bonds. Despite DOP's importance as a nutritional source for marine microorganisms, the bioavailability of each bond-class to the widespread cyanobacterium Synechococcus remains largely unknown. This study evaluates bond-class specific DOP utilization by cultures of an open ocean and a coastal ocean Synechococcus strain. Both strains exhibited comparable growth rates when provided phosphate, short-chain and long-chain polyphosphate (P-O-P), adenosine 5'-triphosphate (P-O-C and P-O-P), and glucose-6-phosphate (P-O-C) as the phosphorus source. However, growth rates on phosphomonoester adenosine 5'-monophosphate (P-O-C) and phosphodiester bis(4-methylumbelliferyl) phosphate (C-O-P-O-C) varied between strains, and neither strain grew on selected phosphonates. Consistent with the growth measurements, both strains preferentially hydrolyzed 3-polyphosphate, followed by adenosine 5'-triphosphate, and then adenosine 5'-monophosphate. The strains' exoproteome contained phosphorus hydrolases, which combined with enhanced cell-free hydrolysis of 3-polyphosphate and adenosine 5'-triphosphate under phosphate deficiency, suggests active mineralization of short-chain polyphosphate by Synechococcus' exoproteins. Synechococcus alkaline phosphatases presented broad substrate specificities, including activity towards short-chain polyphosphate, with varying affinities between the two strains. Collectively, these findings underscore the potentially significant role of compounds with phosphoanhydride bonds in Synechococcus phosphorus nutrition, thereby expanding our understanding of microbially-mediated DOP cycling in marine ecosystems.\n\ncdm_data_type = Other\nVARIABLES:\nsynechococcus_strain (unitless)\nMUF_P_conc (micromoles per liter (umol L-1))\n... (5 more variables)\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_929459_v1/index.htmlTable https://www.bco-dmo.org/dataset/929459 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_929459_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_929459_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_929459_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_929471_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_929471_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_929471_v1/ public [Synechococcus DOP Hydrolysis Experiment - cell counts and IVF] - In vivo fluorescence and flow cytometry cell counts from dissolved organic phosphorus (DOP) hydrolysis experiments with marine cyanobacterium Synechococcus laboratory cultures (WH8102 and WH5701) from 2018-2023 (Collaborative Research: Assessing the role of compound-specific phosphorus hydrolase transformations in the marine phosphorus cycle) Marine cyanobacterium Synechococcus (WH8102 and WH5701) laboratory culture in vivo fluorescence and flow cytometry cell counts following growth in high and low phosphate media, as part of the DOP hydrolysis experiments in a study of \"Dissolved organic phosphorus bond-class utilization by Synechococcus\" (Waggoner et al. 2024). \n\nStudy Abstract:\nDissolved organic phosphorus (DOP) contains compounds with phosphoester (P-O-C), phosphoanhydride (P-O-P), and phosphorus-carbon (P-C) bonds. Despite DOP's importance as a nutritional source for marine microorganisms, the bioavailability of each bond-class to the widespread cyanobacterium Synechococcus remains largely unknown. This study evaluates bond-class specific DOP utilization by cultures of an open ocean and a coastal ocean Synechococcus strain. Both strains exhibited comparable growth rates when provided phosphate, short-chain and long-chain polyphosphate (P-O-P), adenosine 5'-triphosphate (P-O-C and P-O-P), and glucose-6-phosphate (P-O-C) as the phosphorus source. However, growth rates on phosphomonoester adenosine 5'-monophosphate (P-O-C) and phosphodiester bis(4-methylumbelliferyl) phosphate (C-O-P-O-C) varied between strains, and neither strain grew on selected phosphonates. Consistent with the growth measurements, both strains preferentially hydrolyzed 3-polyphosphate, followed by adenosine 5'-triphosphate, and then adenosine 5'-monophosphate. The strains' exoproteome contained phosphorus hydrolases, which combined with enhanced cell-free hydrolysis of 3-polyphosphate and adenosine 5'-triphosphate under phosphate deficiency, suggests active mineralization of short-chain polyphosphate by Synechococcus' exoproteins. Synechococcus alkaline phosphatases presented broad substrate specificities, including activity towards short-chain polyphosphate, with varying affinities between the two strains. Collectively, these findings underscore the potentially significant role of compounds with phosphoanhydride bonds in Synechococcus phosphorus nutrition, thereby expanding our understanding of microbially-mediated DOP cycling in marine ecosystems.\n\ncdm_data_type = Other\nVARIABLES:\nsynechococcus_strain (unitless)\ntime_day (days)\nmedia_and_phosphate_level (unitless)\n... (6 more variables)\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_929471_v1/index.htmlTable https://www.bco-dmo.org/dataset/929471 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_929471_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_929471_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_929471_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_928984_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_928984_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_928984_v1/ public [Synechococcus DOP Hydrolysis Experiment - hydrolysis rates] - Dissolved organic phosphorus (DOP) hydrolysis rates from marine cyanobacterium Synechococcus (WH8102 and WH5701) laboratory cultures from experiments between 2018-2023 (Collaborative Research: Assessing the role of compound-specific phosphorus hydrolase transformations in the marine phosphorus cycle) Dissolved organic phosphorus (DOP) hydrolysis rates from marine cyanobacterium Synechococcus (WH8102 and WH5701) laboratory cultures.  These data were collected as part of a study of \"Dissolved organic phosphorus bond-class utilization by Synechococcus\" (Waggoner et al., submitted).\n\n\n\nStudy Abstract:\nDissolved organic phosphorus (DOP) contains compounds with phosphoester (P-O-C), phosphoanhydride (P-O-P), and phosphorus-carbon (P-C) bonds. Despite DOP's importance as a nutritional source for marine microorganisms, the bioavailability of each bond-class to the widespread cyanobacterium Synechococcus remains largely unknown. This study evaluates bond-class specific DOP utilization by cultures of an open ocean and a coastal ocean Synechococcus strain. Both strains exhibited comparable growth rates when provided phosphate, short-chain and long-chain polyphosphate (P-O-P), adenosine 5'-triphosphate (P-O-C and P-O-P), and glucose-6-phosphate (P-O-C) as the phosphorus source. However, growth rates on phosphomonoester adenosine 5'-monophosphate (P-O-C) and phosphodiester bis(4-methylumbelliferyl) phosphate (C-O-P-O-C) varied between strains, and neither strain grew on selected phosphonates. Consistent with the growth measurements, both strains preferentially hydrolyzed 3-polyphosphate, followed by adenosine 5'-triphosphate, and then adenosine 5'-monophosphate. The strains' exoproteome contained phosphorus hydrolases, which combined with enhanced cell-free hydrolysis of 3-polyphosphate and adenosine 5'-triphosphate under phosphate deficiency, suggests active mineralization of short-chain polyphosphate by Synechococcus' exoproteins. Synechococcus alkaline phosphatases presented broad substrate specificities, including activity towards short-chain polyphosphate, with varying affinities between the two strains. Collectively, these findings underscore the potentially significant role of compounds with phosphoanhydride bonds in Synechococcus phosphorus nutrition, thereby expanding our understanding of microbially-mediated DOP cycling in marine ecosystems.\n\ncdm_data_type = Other\nVARIABLES:\nsynechococcus_strain (unitless)\n... (7 more variables)\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_928984_v1/index.htmlTable https://www.bco-dmo.org/dataset/928984 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_928984_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_928984_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_928984_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_929212_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_929212_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_929212_v1/ public [Synechococcus Growth on DOP Experiments - IVF] - Laboratory-cultured Synechococcus (WH8102 and WH5701) growth (vivo fluorescence) on dissolved organic phosphorus (DOP) from experiments between 2018-2023 (Collaborative Research: Assessing the role of compound-specific phosphorus hydrolase transformations in the marine phosphorus cycle) Laboratory culture Synechococcus (WH8102 and WH5701) growth on dissolved organic phosphorus (DOP). These data were collected as part of a study of \"Dissolved organic Phosphorus bond-class utilization by Synechococcus\" (Waggoner et al. 2024). \n\nStudy Abstract:\nDissolved organic phosphorus (DOP) contains compounds with phosphoester (P-O-C), phosphoanhydride (P-O-P), and phosphorus-carbon (P-C) bonds. Despite DOP's importance as a nutritional source for marine microorganisms, the bioavailability of each bond-class to the widespread cyanobacterium Synechococcus remains largely unknown. This study evaluates bond-class specific DOP utilization by cultures of an open ocean and a coastal ocean Synechococcus strain. Both strains exhibited comparable growth rates when provided phosphate, short-chain and long-chain polyphosphate (P-O-P), adenosine 5'-triphosphate (P-O-C and P-O-P), and glucose-6-phosphate (P-O-C) as the phosphorus source. However, growth rates on phosphomonoester adenosine 5'-monophosphate (P-O-C) and phosphodiester bis(4-methylumbelliferyl) phosphate (C-O-P-O-C) varied between strains, and neither strain grew on selected phosphonates. Consistent with the growth measurements, both strains preferentially hydrolyzed 3-polyphosphate, followed by adenosine 5'-triphosphate, and then adenosine 5'-monophosphate. The strains' exoproteome contained phosphorus hydrolases, which combined with enhanced cell-free hydrolysis of 3-polyphosphate and adenosine 5'-triphosphate under phosphate deficiency, suggests active mineralization of short-chain polyphosphate by Synechococcus' exoproteins. Synechococcus alkaline phosphatases presented broad substrate specificities, including activity towards short-chain polyphosphate, with varying affinities between the two strains. Collectively, these findings underscore the potentially significant role of compounds with phosphoanhydride bonds in Synechococcus phosphorus nutrition, thereby expanding our understanding of microbially-mediated DOP cycling in marine ecosystems.\n\ncdm_data_type = Other\nVARIABLES:\nsynechococcus_strain (unitless)\nexperiment_number (unitless)\ntime_day (days)\nDOP_substrate (unitless)\nin_vivo_fluorescence_trip1 (relative fluorescence units (RFU))\nin_vivo_fluorescence_trip2 (relative fluorescence units (RFU))\nin_vivo_fluorescence_trip3 (relative fluorescence units (RFU))\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_929212_v1/index.htmlTable https://www.bco-dmo.org/dataset/929212 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_929212_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_929212_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_929212_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_896862_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_896862_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_896862_v1/ public [Synthesis Product for Ocean Time Series (SPOTS)] - Synthesis Product for Ocean Time Series (SPOTS) (EarthCube RCN for Marine Ecological Time Series (METS)) The presented time-series data synthesis pilot product includes data from 12 fixed ship-based time-series programs. The related stations represent unique marine environments within the Atlantic Ocean, Pacific Ocean, Mediterranean Sea, Nordic Seas, and Caribbean Sea. The focus of the pilot has been placed on biogeochemical essential ocean variables: dissolved oxygen, dissolved inorganic nutrients, inorganic carbon (pH, total alkalinity, dissolved inorganic carbon, and partial pressure of CO2), particulate matter, and dissolved organic carbon. The time-series used include a variety of temporal resolutions (monthly, seasonal, or irregular), time ranges (10 to 36 years), and bottom depths (80 to 6000 meters), with the oldest samples dating back to 1983 and the most recent one corresponding to 2021. Besides having been harmonized into the same format (semantics, ancillary data, units), the data were subjected to a qualitative assessment in which the applied methods were evaluated and categorized. Additional data-quality descriptors include precision and accuracy estimates. This data product pilot facilitates a variety of applications that benefit from the collective value of biogeochemical time-series observations and forms the basis for a sustained time-series living data product, complementing relevant products for the global interior ocean carbon data (GLobal Ocean Data Analysis Project), global surface ocean carbon data (Surface Ocean CO2 Atlas; SOCAT), and global interior and surface methane and nitrous oxide data (MarinE MethanE and NiTrous Oxide product).\n\ncdm_data_type = Other\nVARIABLES:\nTimeSeriesSite (unitless)\nCRUISE (unitless)\nSTNNBR (unitless)\nCASTNO (unitless)\nBTLNBR (unitless)\nDATE (unitless)\nTIME_UTC (unitless)\nLATITUDE (degrees_north)\nlongitude (degrees_east)\nCTDPRS (decibar (dbar))\nSIGMA0 (kilogram per cubic meter (kg/m3))\n... (83 more variables)\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_896862_v1/index.htmlTable https://www.bco-dmo.org/dataset/896862 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_896862_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_896862_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_896862_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_896862_v2 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_896862_v2.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_896862_v2/ public [Synthesis Product for Ocean Time Series (SPOTS)] - Synthesis Product for Ocean Time Series (SPOTS) (EarthCube RCN for Marine Ecological Time Series (METS)) The presented time-series data synthesis pilot product includes data from 12 fixed ship-based time-series programs. The related stations represent unique marine environments within the Atlantic Ocean, Pacific Ocean, Mediterranean Sea, Nordic Seas, and Caribbean Sea. The focus of the pilot has been placed on biogeochemical essential ocean variables: dissolved oxygen, dissolved inorganic nutrients, inorganic carbon (pH, total alkalinity, dissolved inorganic carbon, and partial pressure of CO2), particulate matter, and dissolved organic carbon. The time-series used include a variety of temporal resolutions (monthly, seasonal, or irregular), time ranges (10 to 36 years), and bottom depths (80 to 6000 meters), with the oldest samples dating back to 1983 and the most recent one corresponding to 2021. Besides having been harmonized into the same format (semantics, ancillary data, units), the data were subjected to a qualitative assessment in which the applied methods were evaluated and categorized. Additional data-quality descriptors include precision and accuracy estimates. This data product pilot facilitates a variety of applications that benefit from the collective value of biogeochemical time-series observations and forms the basis for a sustained time-series living data product, complementing relevant products for the global interior ocean carbon data (GLobal Ocean Data Analysis Project), global surface ocean carbon data (Surface Ocean CO2 Atlas; SOCAT), and global interior and surface methane and nitrous oxide data (MarinE MethanE and NiTrous Oxide product).\n\ncdm_data_type = Other\nVARIABLES:\nTimeSeriesSite (unitless)\nCRUISE (unitless)\nSTNNBR (unitless)\nCASTNO (unitless)\nBTLNBR (unitless)\nDATE (unitless)\nTIME (unitless)\nLATITUDE (degrees_north)\nlongitude (degrees_east)\nCTDPRS (decibar (dbar))\nSIGMA0 (kilogram per cubic meter (kg/m3))\n... (98 more variables)\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_896862_v2/index.htmlTable https://www.bco-dmo.org/dataset/896862 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_896862_v2.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_896862_v2&showErrors=false&email= BCO-DMO bcodmo_dataset_896862_v2
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_918860_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_918860_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_918860_v1/ public [T. pseudonana starve-recover experiments: Cell information] - Diatom (Thalassiosira pseudonana) cell information from experiments designed to study single-cell transcriptional profiling of nutrient acquisition heterogeneity in diatoms conducted in December of 2022 (EAGER: Diatom Programmed Cell Death at Single-Cell Resolution) This dataset includes cell information for diatom Thalassiosira pseudonana grown during experiments conducted as part of a study of \"Single-Cell transcriptional profiling of nutrient acquisition heterogeneity in diatoms.\"  See \"Related Datasets\" section for T. pseudonana physiological data and gene information collected as part of the same study and experiments.\n\n\nStudy description: \n\nDiatoms (Bacillariophyceae) are unicellular photosynthetic algae, accounting for about 40% of total marine primary production (equivalent to terrestrial rainforests) and critical ecological players in the contemporary ocean. Diatoms can form enormous blooms in the ocean that can be seen from space and are the base of food webs in coastal and upwelling systems, support essential fisheries, and are central to the biogeochemical cycling of important nutrients such as carbon and silicon. Over geological time, diatoms have influenced the world's climate by changing the carbon flux into the oceans. \n\n\nDiatoms have traditionally been studied on a population level. Growth is often measured by the total increase in biomass, and gene expression is analyzed by isolating mRNA from thousands or millions of cells. These methods generate a valuable analysis on the population's average functioning; however, they fail to show how each individual diatom cell contributes to the population phenotype. Bulk transcriptomes confound different stages and variability of cell states in heterogeneous populations. By contrast, single-cell transcriptomics measures gene expression in thousands of individual diatoms providing a quantitative and ultrahigh-resolution picture of transient cell states in population fractions enabling the reconstruction of the various phenotypic trajectories. Thus, the single-cell physiological and molecular parameters analysis allows an unsupervised assessment of cell heterogeneity within a population—a new dimension in diatoms and phytoplankton in general. \n\n\nIn this dataset, we examine the model diatom Thalassiosira pseudonana clonal cells grown in different nitrogen conditions, at the single cell level when grown in a light: dark cycle (12:12 h). Nitrogen is the major limiting nutrient for primary production and growth in the ocean's surface, specifically for diatoms and the food webs they support. We investigate nutrient limitation, starvation and recovery. We used droplet-based, single-cell transcriptomics to analyze ten samples in two stages.  In the first stage (\"starvation\"), six samples were collected over four days of culture as nutrient levels decreased.  In the second stage (\"recovery\"), four samples were collected over twelve hours after nutrients were replenished.\n\ncdm_data_type = Other\nVARIABLES:\nstage (unitless)\n... (5 more variables)\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_918860_v1/index.htmlTable https://www.bco-dmo.org/dataset/918860 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_918860_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_918860_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_918860_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_918852_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_918852_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_918852_v1/ public [T. pseudonana starve-recover experiments: Gene information] - Diatom (Thalassiosira pseudonana) gene information from experiments designed to study single-cell transcriptional profiling of nutrient acquisition heterogeneity in diatoms conducted in December of 2022 (EAGER: Diatom Programmed Cell Death at Single-Cell Resolution) This dataset includes gene information for diatom Thalassiosira pseudonana grown during an experiment conducted as part of a study of \"Single-Cell transcriptional profiling of nutrient acquisition heterogeneity in diatoms.\"  See \"Related Datasets\" section for T. pseudonana physiological data and cell information collected as part of the same study and experiments.\n\n\nStudy description: \n\nDiatoms (Bacillariophyceae) are unicellular photosynthetic algae, accounting for about 40% of total marine primary production (equivalent to terrestrial rainforests) and critical ecological players in the contemporary ocean. Diatoms can form enormous blooms in the ocean that can be seen from space and are the base of food webs in coastal and upwelling systems, support essential fisheries, and are central to the biogeochemical cycling of important nutrients such as carbon and silicon. Over geological time, diatoms have influenced the world's climate by changing the carbon flux into the oceans. \n\nDiatoms have traditionally been studied on a population level. Growth is often measured by the total increase in biomass, and gene expression is analyzed by isolating mRNA from thousands or millions of cells. These methods generate a valuable analysis on the population's average functioning; however, they fail to show how each individual diatom cell contributes to the population phenotype. Bulk transcriptomes confound different stages and variability of cell states in heterogeneous populations. By contrast, single-cell transcriptomics measures gene expression in thousands of individual diatoms providing a quantitative and ultrahigh-resolution picture of transient cell states in population fractions enabling the reconstruction of the various phenotypic trajectories. Thus, the single-cell physiological and molecular parameters analysis allows an unsupervised assessment of cell heterogeneity within a population—a new dimension in diatoms and phytoplankton in general. \n\nIn this dataset, we examine the model diatom Thalassiosira pseudonana clonal cells grown in different nitrogen conditions, at the single cell level when grown in a light: dark cycle (12:12 h). Nitrogen is the major limiting nutrient for primary production and growth in the ocean's surface, specifically for diatoms and the food webs they support. We investigate nutrient limitation, starvation and recovery. We used droplet-based, single-cell transcriptomics to analyze ten samples in two stages.  In the first stage (\"starvation\"), six samples were collected over four days of culture as nutrient levels decreased.  In the second stage (\"recovery\"), four samples were collected over twelve hours after nutrients were replenished.\n\ncdm_data_type = Other\nVARIABLES:\nstage (unitless)\n... (5 more variables)\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_918852_v1/index.htmlTable https://www.bco-dmo.org/dataset/918852 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_918852_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_918852_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_918852_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_918841_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_918841_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_918841_v1/ public [T. pseudonana starve-recover experiments: Physiological data] - Diatom (Thalassiosira pseudonana) physiological data from experiments designed to study single-cell transcriptional profiling of nutrient acquisition heterogeneity in diatoms conducted in December of 2022 (EAGER: Diatom Programmed Cell Death at Single-Cell Resolution) This dataset includes physiological data for diatom Thalassiosira pseudonana grown during experiments conducted as part of a study of \"Single-Cell transcriptional profiling of nutrient acquisition heterogeneity in diatoms.\"  See \"Related Datasets\" section for T. pseudonana gene and cell information collected as part of the same study and experiments.\n\n\nStudy description: \n\nDiatoms (Bacillariophyceae) are unicellular photosynthetic algae, accounting for about 40% of total marine primary production (equivalent to terrestrial rainforests) and critical ecological players in the contemporary ocean. Diatoms can form enormous blooms in the ocean that can be seen from space and are the base of food webs in coastal and upwelling systems, support essential fisheries, and are central to the biogeochemical cycling of important nutrients such as carbon and silicon. Over geological time, diatoms have influenced the world's climate by changing the carbon flux into the oceans. \n\nDiatoms have traditionally been studied on a population level. Growth is often measured by the total increase in biomass, and gene expression is analyzed by isolating mRNA from thousands or millions of cells. These methods generate a valuable analysis on the population's average functioning; however, they fail to show how each individual diatom cell contributes to the population phenotype. Bulk transcriptomes confound different stages and variability of cell states in heterogeneous populations. By contrast, single-cell transcriptomics measures gene expression in thousands of individual diatoms providing a quantitative and ultrahigh-resolution picture of transient cell states in population fractions enabling the reconstruction of the various phenotypic trajectories. Thus, the single-cell physiological and molecular parameters analysis allows an unsupervised assessment of cell heterogeneity within a population—a new dimension in diatoms and phytoplankton in general. \n\nIn this dataset, we examine the model diatom Thalassiosira pseudonana clonal cells grown in different nitrogen conditions, at the single cell level when grown in a light: dark cycle (12:12 h). Nitrogen is the major limiting nutrient for primary production and growth in the ocean's surface, specifically for diatoms and the food webs they support. We investigate nutrient limitation, starvation and recovery. We used droplet-based, single-cell transcriptomics to analyze ten samples in two stages.  In the first stage (\"starvation\"), six samples were collected over four days of culture as nutrient levels decreased.  In the second stage (\"recovery\"), four samples were collected over twelve hours after nutrients were replenished.\n\ncdm_data_type = Other\nVARIABLES:\nSpecies (unitless)\n... (29 more variables)\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_918841_v1/index.htmlTable https://www.bco-dmo.org/dataset/918841 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_918841_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_918841_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_918841_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_924671_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_924671_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_924671_v1/ public [Temperature Data From Tomales Bay and Bodega Harbor] - Temperature data recorded using HOBO Pendant MX2201 loggers deployed at 14 sites in Tomales Bay and Bodega Harbor during August 2019 (Using genomics to link traits to ecosystem function in the eelgrass Zostera marina) To record water temperature, we deployed HOBO Pendant MX2201 loggers (fastened to PVC pipe) in the area from the 14 sites in Tomales and Bodega Harbors from which we collected genetic samples. The pipe was driven into the sediment until the logger was approximately <15 centimeters (cm) above the sediment surface, positioned to rarely be emersed except during low spring tides. We recorded water temperature at 15-minute intervals during a two-week period at all sites from 16 August to 29 August in 2019.\n\ncdm_data_type = Other\nVARIABLES:\nsite (unitless)\nLatitude (degrees_north)\nlongitude (degrees_east)\nISO_DateTime_PDT (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_924671_v1/index.htmlTable https://www.bco-dmo.org/dataset/924671 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_924671_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_924671_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_924671_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_851437_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_851437_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_851437_v1/ public [Temperature Data] - Temperature data collected in the bottoms of intertidal rock tide pools at Bodega Marine Reserve intertidal zone, between October 2017 and August 2019 (Collaborative Research: Context-dependency of top-down vs. bottom-up effects of herbivores on marine primary producers) Temperature data collected in the bottoms of intertidal rock tide pools at Bodega Marine Reserve intertidal zone, between October 2017 and August 2019.\n\ncdm_data_type = Other\nVARIABLES:\ntime (Datetimeutc, seconds since 1970-01-01T00:00:00Z)\nSite (unitless)\nPool (unitless)\nLatitude (degrees_north)\nlongitude (degrees_east)\nTempC (degrees Celsius (°C))\nTidBitID (unitless)\nBlock (unitless)\nTrtGroup (unitless)\nHerbivoreTreat (unitless)\nTempTreat (unitless)\nNutrientTreat (unitless)\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_851437_v1/index.htmlTable https://www.bco-dmo.org/dataset/851437 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_851437_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_851437_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_851437_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_898012_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_898012_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_898012_v1/ public [Temperature-dependence of juvenile Black sea bass growth and lipid accumulation - Experiment 2] - Temperature-dependence of juvenile Black sea bass growth and lipid accumulation determined through lab experiments conducted from September 2021 to February 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 2 are presented here.\n\nThe data from Experiment 1 are presented in a related dataset (https://www.bco-dmo.org/dataset/897895). Experiment 2 measured the same traits as Experiment 1 but exposed juveniles to a simulated thermal overwinter profile (October - March) with seasonally varying food rations. Monthly individual length growth (GR) and weight-specific growth (SGR) responded in the direction of seasonal food level changes, showing reduced growth in December-February in a 'Winter dip' treatment, but compensatory growth in a 'Winter pulse' treatment. A 6-month consumption average of 1.7% feeding-1 ('Winter pulse') elicited a mean GR of 0.15 millimeters per day (mm d-1) and SGR of 0.55% d-1, whereas juveniles consuming on average 3.8% per feeding ('Winter dip') had significantly faster GR (0.20 mm d-1) and SGR (0.71% d-1). Growth efficiencies ranged between 15-30% and were inversely related to food consumption.\n\nIn 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:\nSite (unitless)\nlongitude (degrees_east)\nlatitude (degrees_north)\nDate_col (unitless)\nSpecies (unitless)\nTank (unitless)\nBSB_ID (unitless)\nGroup (unitless)\nTreat (unitless)\n... (34 more variables)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_898012_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_898012_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_898012_v1/index.htmlTable https://www.bco-dmo.org/dataset/898012 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_898012_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_898012_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_898012_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_908647_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_908647_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_908647_v1/ public [Temporal Comparison of Mussel (Mytilus californianus) Shell Thickness] - Temporal comparison of mussel (Mytilus californianus) shell thickness determined from shells collected from six study sites along the west coast of North America from 2000 to 2019 (Coastal mosaics of local adaptation and the eco-evolutionary dynamics of a marine predator-prey interaction) Climate change, specifically ocean acidification, is impacting calcification of marine organisms. A reduction in pH has been shown to affect mussel growth and shell thickness along the Pacific coast of North America. Mussels, Mytilus californianus, are a foundation species in rocky shore ecosystems and are prey for a number of taxa, including the Channeled Dogwhelk, Nucella canaliculata, which feeds by drilling a hole through the shell of their prey. Previous research has documented geographic variation in N. canaliculata predator drilling phenotype on Mytilus californianus. However, few studies have assessed how variation in mussel shell traits shape the evolution of this co-evolving predator. Thus, we analyzed M. californianus shell thickness over two decades (2000-2001, 2008-2009, and 2019) and across ~1,000 kilometers of coastline to quantify the prey-driven selection landscape. We analyzed mussel shell thickness at 1/3 the length of the mussel shell as this is the most commonly drilled region. Mussel shells from the central Oregon coast were thicker than those from California. This pattern is associated with geographic variation in predator drilling phenotypes. However, the selective landscape appears to be changing, with recent mussel shells being thinner than a decade prior, particularly on the central Oregon coast. This research highlights the importance of studying species interactions across broad spatial and temporal scales.\n\ncdm_data_type = Other\nVARIABLES:\nSite (unitless)\nSite_Code (unitless)\nState (unitless)\nLatitude (degrees_north)\nlongitude (degrees_east)\nDate_Collected (unitless)\nYear_Collected (unitless)\nTime_Period (unitless)\nQuadrat_num (unitless)\nMussel_num (unitless)\nShell_Length (millimeters (mm))\nHeight (millimeters (mm))\n... (11 more variables)\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_908647_v1/index.htmlTable https://www.bco-dmo.org/dataset/908647 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_908647_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_908647_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_908647_v1
log in [Thalassiosira pseudonana CCMP1335 endometabolite uptake by Ruegeria pomeroyi DSS-3] - Thalassiosira pseudonana CCMP1335 endometabolite uptake by Ruegeria pomeroyi DSS-3 (Effects of Climate Change Variables on Microbial Autotroph-Heterotroph Carbon Flux) The ocean's temperature increase has fundamental implications for physiological rates and processes of marine microbes. In this study, a marine diatom Thalassiosira pseudonana CCMP1335 was acclimated for three months at temperatures below (14°C), equal to (20°C), and above (28°C). Heterotrophic bacterium Ruegeria pomeroyi DSS-3 was inoculated into cultures, and transporter expression was compared between temperatures.  R. pomeroyi transporter expression leveraged as  a biosensor of available diatom exometabolites indicated temperature-related substitution of diatom osmolytes dimethylsulfoniopropionate (DMSP), dihydroxypropanesulfonate (DHPS), and homarine (dominating carbon transfer at lower temperatures) with glycine betaine and choline (dominating at higher temperatures). T. pseudonana endometabolome pools and biosynthetic pathway expression indicated increased availability of amino acids and glycerol-3-phosphate at higher temperatures. Overall trends across datasets supported a greater importance of organic sulfur compounds in diatom-bacterial metabolite transfer at lower temperatures and greater importance of organic nitrogen compounds at higher temperatures.\n\ncdm_data_type = Other\nVARIABLES:\nExperiment (unitless)\nSample_ID (unitless)\nMetabolomics_Workbench_Project_ID (unitless)\nMetabolomics_Workbench_Study_ID (unitless)\nMetabolomics_Workbench_Sample_ID (unitless)\nNumber (unitless)\nTemperature (degrees Celsius (°C))\nReplicate (unitless)\nCulture (unitless)\nJGI_Sample_ID (unitless)\nTime_Point_h (hours (h))\nBacteria_presence (unitless)\nGlycine_Betaine (NMR peak intensity per biovolume)\nProline (NMR peak intensity per biovolume)\nDHPS (NMR peak intensity per biovolume)\n... (13 more variables)\n BCO-DMO bcodmo_dataset_928203_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_955736_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_955736_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_955736_v1/ public [Thermal limits of Acartia tonsa and the effect of isopod parasitism] - Thermal limits of Acartia tonsa and the effect of isopod parasitism from Critical Thermal Maxima (CTmax) experiments conducted with copepods collected from Key Largo, Florida in February 2023 (Linking eco-evolutionary dynamics of thermal adaptation and grazing in copepods from highly seasonal environments) Acartia tonsa were collected from Key Largo, Florida in February 2023. A portion of the adult female copepods in this collection were parasitized by juvenile bopyrid isopods. We measured thermal limits (as Critical Thermal Maximum) for individuals with and without these parasites. Data were collected by Dr. Matthew Sasaki.\n\ncdm_data_type = Other\nVARIABLES:\nexperiment (unitless)\nexperiment_date (unitless)\nexperiment_day (unitless)\nexperiment_month (unitless)\nexperiment_year (unitless)\ntube (unitless)\nbopyrid (unitless)\nctmax (degrees Celsius)\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_955736_v1/index.htmlTable https://osprey.bco-dmo.org/dataset/955736 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_955736_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_955736_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_955736_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_934800_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_934800_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_934800_v1/ public [Three-Prime Tag-Sequencing (3' Tag-Seq) Data for Pisaster ochraceus] - Bioproject accession information on tag-sequence data for Pisaster ochraceus samples collected from Bodega Bay, CA, in July 2019 (Collaborative Proposal: Selection and Genetic Succession in the Intertidal -- Population Genomics of Pisaster ochraceus During a Wasting Disease Outbreak and its Aftermath) Outbreaks of sea star wasting (SSW) have killed millions of sea stars across over 20 taxa in the last decade alone, threatening the health and stability of coastal communities around the world. While the causative agent remains unknown, it has recently been postulated that hypoxia exposure may play a dominant role in the onset of SSW. We leveraged a study that subjected ochre sea stars to organic matter amendment in a controlled laboratory setting to induce hypoxia and used a repeated sampling design to collect non-invasive tissue samples from both healthy and wasting individuals. Following tag-based RNAseq (TagSeq), we analyzed differential gene expression (DGE) patterns among and within these individuals sampled strategically throughout the 15-day experiment. Transcriptional profiles reveal a progressive change in gene expression accompanying the advancement of SSW, reflecting a transition from asymptomatic stars to the onset of characteristic SSW lesions that progressively worsen until, in some cases, the star dies of their symptoms. Included in this dataset is the accession information for 89 individual TagSeq samples across 20 individual Pisaster ochraceus sea stars at multiple time points during the study to make them available for subsequent re-evaluation. The sequence data have been deposited into the NCBI archive under BioProject PRJNA1116313 and will be publicly available on 2025-08-01.\n\ncdm_data_type = Other\nVARIABLES:\nsample_name (unitless)\nbioproject_accession (unitless)\nbioproject_ncbi (unitless)\nassay_type (unitless)\norganism (unitless)\nisolate_id (unitless)\nisolation_source (unitless)\ncollection_date (unitless)\ngeo_loc_name (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\ntissue (unitless)\nbiomaterial_provider (unitless)\ncollected_by (unitless)\nhost_tissue_sampled (unitless)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_934800_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_934800_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_934800_v1/index.htmlTable https://www.bco-dmo.org/dataset/934800 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_934800_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_934800_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_934800_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_907507_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_907507_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_907507_v1/ public [Tissue data from Keister et al. 2023] - Comparative analysis of tissue biomass and energy reserves of six coral species from nearshore and offshore reefs in Palau, Micronesia during March 2017 (Collaborative Research: Stability, flexibility, and functionality of thermally tolerant coral symbioses) The nearshore reef habitats in Palau, Micronesia, serve as a representation of the challenges that coral populations may face in a future with warmer and more acidic oceans. Interestingly, corals inhabiting these nearshore habitats demonstrate a greater ability to withstand and recover from episodes of thermal stress compared to their offshore counterparts. In order to investigate the underlying physiological mechanisms behind this tolerance, we conducted a comparative analysis of six coral species found in both offshore and nearshore environments. Specifically, we examined parameters such as tissue biomass (ash-free dry weight cm−2), energy reserves (including protein, total lipid, and carbohydrate content), as well as several crucial lipid classes.\n\ncdm_data_type = Other\nVARIABLES:\nlatitude (degrees_north)\nlongitude (degrees_east)\nSampleID (unitless)\nSpecies (unitless)\nSite (unitless)\nCollection_Date (unitless)\nAFDW (grams)\nTotal_lipids (joules)\nSurface_Area (squared centimeters (cm^2))\nProtein (joules)\nCarbohydrate (joules)\nWAX (milligrams Ash Free Dry Weight per gram (mg AFDW/g))\nTAG (milligrams Ash Free Dry Weight per gram (mg AFDW/g))\nST (milligrams Ash Free Dry Weight per gram (mg AFDW/g))\nPhospholipids (milligrams Ash Free Dry Weight per gram (mg AFDW/g))\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_907507_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_907507_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_907507_v1/index.htmlTable https://www.bco-dmo.org/dataset/907507 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_907507_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_907507_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_907507_v1
log in [TMs and Nuts from EXPORTS NA Incubations] - Dissolved trace metal and macronutrient concentration data from incubation experiments conducted during the May 2021 EXPORTS North Atlantic cruise (DY131) (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 trace metal (iron, manganese, cobalt, nickel, copper, zinc, cadmium, lead) and macronutrient (nitrate+nitrite, nitrite, phosphate, silicic acid) concentration data from incubation experiments conducted on board the RRS Discovery during the EXPORTS North Atlantic campaign at the Porcupine Abyssal Plain-Sustained Observatory (PAP-SO) site (DY131). In these experiments, additions of macronutrients (N, P, Si) and Fe were used to assess the level of Si, N, and Fe stress being experienced by the phytoplankton and to contextualize taxa-specific metatranscriptome responses for resolving gene expression profiles in the in-situ communities.\n\nThis research project 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)\nJULIAN_DAY (unitless)\nEPOCH (unitless)\nEPOCH_DAY (unitless)\n... (61 more variables)\n BCO-DMO bcodmo_dataset_947637_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_925726_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_925726_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_925726_v1/ public [Total dissolved Cr concentration and isotopic composition in the ETNP from RR1804-05 and KM1919-20] - Total dissolved chromium (Cr) concentration and isotopic composition 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... (5 more variables)\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_925726_v1/index.htmlTable https://www.bco-dmo.org/dataset/925726 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_925726_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_925726_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_925726_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_908189_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_908189_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_908189_v1/ public [Total lipid measurements - field data] - Total lipid 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) Total lipid 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:\nTaxon (unitless)\nCommon_name (unitless)\nSample_ID (unitless)\nSite (unitless)\nlat (degrees_north)\nlongitude (degrees_east)\nDate_collected (unitless)\nDate_analyzed (unitless)\nTissue (unitless)\nPrimary_check (unitless)\nTotal_lipids (milligrams per gram dry weight (mg g-1 dw))\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_908189_v1/index.htmlTable https://www.bco-dmo.org/dataset/908189 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_908189_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_908189_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_908189_v1
log in [Total mercury and methylmercury concentrations in longnose lancetfish tissues from the North Pacific Ocean] - Total mercury and methylmercury concentrations measured across 10 tissues of the longnose lancetfish (Alepisaurus ferox) collected from the central and eastern North Pacific between 2018 and 2023 (Scripps Center for Oceans and Human Health: advancing the science of marine contaminants and seafood security) This dataset contains total mercury and methylmercury concentrations measured across 10 tissues (brain, caudal white muscle, dorsal white muscle, gallbladder, gill filament, gonad, heart, intestine, liver, and stomach lining) of a globally distributed deep-sea fish, the longnose lancetfish (Alepisaurus ferox). Lancetfish specimens were collected by fisheries observers of the National Oceanic and Atmospheric Administration Pacific Islands Region and West Coast Region Observer Programs from 2018 to 2023 between 20 – 40° N and 115 – 160° W in the central and eastern North Pacific Ocean. The data were used to examine patterns of mercury bioaccumulation in lancetfish and evaluate the use of lancetfish as a biomonitoring species of mercury in the deep sea.\n\ncdm_data_type = Other\nVARIABLES:\nspecimen_id (unitless)\ndate (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\nFL_mm (millimeters (mm))\nwhole_mass_g (grams (g))\nsize_class (unitless)\ntissue_type (unitless)\npercent_moisture (percentage (%))\nTHg_wet_ng_g (nanogram per gram (ng/g))\nhg_notes (unitless)\nMeHg_wet_ng_g (nanogram per gram (ng/g))\nmehg_type (unitless)\npercent_mehg (percentage (%))\n BCO-DMO bcodmo_dataset_948929_v1
log in [Total mercury concentrations and size data for bigeye tuna, yellowfin tuna, and longnose lancetfish from the North Pacific Ocean] - Total mercury (THg) concentration, fork length, and mass data for bigeye tuna (Thunnus obesus), yellowfin tuna (Thunnus albacares), and longnose lancetfish (Alepisaurus ferox) collected from the central and eastern North Pacific between 1971 and 2023 (Scripps Center for Oceans and Human Health: advancing the science of marine contaminants and seafood security) This dataset contains total mercury (THg) concentration, fork length, and mass data for bigeye tuna (Thunnus obesus), yellowfin tuna (Thunnus albacares), and longnose lancetfish (Alepisaurus ferox) collected from the central and eastern North Pacific between 1971 and 2023. The THg data for tunas were compiled from published literature. We compared the THg bioaccumulation curve for lancetfish from this study to the bioaccumulation curves for two well-studied tuna species to examine how life history and feeding ecology affect THg accumulation with size.\n\ncdm_data_type = Other\nVARIABLES:\nspecimen_id (unitless)\nspeciesID (unitless)\ndate (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\nlength_cm (centimeters (cm))\nweight_kg (kilograms (kg))\nwetTHg_ng_g (nanograms per gram (ng/g))\nreference (unitless)\n BCO-DMO bcodmo_dataset_948928_v1
log in [Total Mercury Time Series at Scripps Pier] - Total Mercury Concentrations Collected from Scripps Pier in La Jolla, CA from December 2020 to December 2024 (Collaborative Proposal: Unravelling the Oceanic Dimethylmercury Cycle) weekly collected samples of Total Mercury from Scripps Pier in La Jolla, CA from December 2020 to December 2024 to capture variability over multiple years. Samples were collected using a peristaltic pump equipped with weighted sample tubing into pre-cleaned glass bottles. Samples were analyzed via a Tekran 2600 Automatic Mercury Sampler.\n\ncdm_data_type = Other\nVARIABLES:\nlatitude (degrees_north)\nlongitude (degrees_east)\nDate (unitless)\nTime_UTC (unitless)\ntime (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\nSurface_THg_Concentration (picomolar (pM))\nDeep_THg_Concentration (picomolar (pM))\ndepth (Deep_sample_depth, m)\n BCO-DMO bcodmo_dataset_950021_v1
log in [Trace metal and organic iron ligand data] - Trace metal and organic iron ligand data collected during the PLUME RAIDERS cruise (RR2106) on the R/V Roger Revelle from 18 September – 6 November 2021 along the 16-18ºS section of the Southern East Pacific Rise. (Collaborative Research: Are Low-Temperature Hydrothermal Vents an Important but Overlooked Source of Stabilized Dissolved Iron to the Ocean?) This dataset includes the concentrations of total dissolvable iron and manganese, dissolved iron and manganese, and dissolved organic iron-binding ligands collected on the PLUME RAIDERS expedition. Samples were collected during the PLUME RAIDERS cruise (RR2106) on the R/V Roger Revelle from 18 September – 6 November 2021. The main study area was located along the 16-18ºS section of the Southern East Pacific Rise, and the sampling was focused near the ride crest at depths below 1,500 m. Both the total dissolvable and dissolved  iron and manganese concentrations were determined shipboard using flow injection analysis. The total organic iron-binding ligand data was  generated both shipboard and in the lab using competitive ligand exchange adsorptive cathodic stripping voltammetry. The siderophore concentrations were measured following a solid phase extraction step, and then eluents were measured using inductively coupled plasma mass spectrometry. The dissolvable and dissolved metal data was generated by Dr. Joe Resing and Nathan Buck at NOAA-PMEL and the ligand and siderophore data was generated by Dr. Laura Moore and Dr. Randelle Bundy at the University of Washington.\n\ncdm_data_type = Other\nVARIABLES:\nGT_number (unitless)\nCruise (unitless)\nStation (unitless)\nCast_number (unitless)\nRosette (unitless)\nSite_Name (unitless)\nStation_ID (unitless)\nBottle_Position (unitless)\nNisken_number (unitless)\nDate (unitless)\nTime_GMT (unitless)\ntime (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\nPressure_dbar (dbars)\ndepth (Depth_m, m)\nTemp_degC (degrees celsius)\n... (20 more variables)\n BCO-DMO bcodmo_dataset_944890_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_907003_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_907003_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_907003_v1/ public [Tracer data] - Nutrient transfer experiments with host coral and symbionts under varying environmental conditions in March 2014 and March 2015 (Collaborative Research: Stability, flexibility, and functionality of thermally tolerant coral symbioses) Symbiotic mutualisms are essential to ecosystems and numerous species across the tree of life. For reef-building corals, the benefits of their association with endosymbiotic dinoflagellates differ within and across taxa, and nutrient exchange between these partners is influenced by environmental conditions. Furthermore, it is widely assumed that corals associated with symbionts in the genus Durusdinium tolerate high thermal stress at the expense of lower nutrient exchange to support coral growth. We traced both inorganic carbon (H13CO3–) and nitrate (15NO3–) uptake by divergent symbiont species and quantified nutrient transfer to the host coral under normal temperatures as well as in colonies exposed to high thermal stress. Colonies representative of diverse coral taxa associated with Durusdinium trenchii or Cladocopium spp. exhibited similar nutrient exchange under ambient conditions. In contrast, heat-exposed colonies with D. trenchii experienced less physiological stress than conspecifics with Cladocopium spp. while high carbon assimilation and host transfer was maintained. This discovery is different from the prevailing notion that these mutualisms inevitably suffer trade-offs in physiological performance. These findings emphasize that certain host-symbiont combinations adapted to high temperature equatorial environments; and why their increase in prevalence is likely important to the future productivity and stability of coral reef ecosystems.\n\ncdm_data_type = Other\nVARIABLES:\nlatitude (degrees_north)\nlongitude (degrees_east)\nSite (unitless)\nSpecies (unitless)\nSymbiont (unitless)\nTemperature (degrees Celsius)\nReplicate (unitless)\nFraction (unitless)\nAP13C (percent)\nAP15N (percent)\nFv_Fm (unitless)\nDensities (cells per squared centimeter (cells cm-2))\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_907003_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_907003_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_907003_v1/index.htmlTable https://www.bco-dmo.org/dataset/907003 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_907003_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_907003_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_907003_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_949777_v1 https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_949777_v1/ public [Transcriptomics of Phytoplankton Cultures Grown on Various Phosphorus Sources] - Transcriptomics of phytoplankton cultures grown on various phosphorus sources in a laboratory experiment (Phosphonate Utilization by Eukaryotic Phytoplankton: Who, How, and Where?) A laboratory experiment was carried out to characterize the growth and physiological response of three species of eukaryotic phytoplankton grown with inorganic phosphate (+P), without phosphate (-P), and with methylphosphonate (+MPN) and aminoethylphosphonate (+AEPN) as the sole sources of phosphorus (P). Data reported in this dataset are the transcriptomic reads, in biological triplicate, of these culture growth substrate combinations.\n\ncdm_data_type = Other\nVARIABLES:\nBioProject (unitless)\nBiosample (unitless)\nTreatment (unitless)\nReplicate (unitless)\nOrganism (unitless)\nTax_ID (unitless)\nStrain (unitless)\nURL (unitless)\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_949777_v1/index.htmlTable https://www.bco-dmo.org/dataset/949777 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_949777_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_949777_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_949777_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_945964_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_945964_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_945964_v1/ public [Transparent Exopolymer Particles (TEP) CTD Bottle Measurements HRS2204] - Transparent Exopolymer Particles (TEP) 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 transparent exopolymer particles (TEP) 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. TEP measurements were performed following recently published methods relying on Alcian Blue staining protocols and spectrophotometry. 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. Kieran Curran of the University of New Hampshire 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)\nTEP_xg (micrograms per liter (ug/L))\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_945964_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_945964_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_945964_v1/index.htmlTable https://www.bco-dmo.org/dataset/945964 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_945964_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_945964_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_945964_v1
log in [Trematode Parasite COI Sequences] - COI mtDNA sequences for trematodes from fish collections across the Northern Line Islands and French Polynesia archipelagos collected between 2009 and 2023 (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\nThis data set contains COI mtDNA sequence accession numbers, collection locations, and life stages for trematodes from the family Microscaphidiidae and Paramphistomatidae from fish collections across the Northern Line Islands and French Polynesia archipelagos collected between 2009 and 2023. Specifically this data set represents 87 Microscaphidiidae samples from the Northern Line Islands and 132 Paramphistomatidae from French Polynesia.\n\ncdm_data_type = Other\nVARIABLES:\nNCBI_Accession_Number (unitless)\nCollection_Location (unitless)\nLarval_or_Adult (unitless)\n BCO-DMO bcodmo_dataset_953401_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_945981_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_945981_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_945981_v1/ public [Turbulence microstructure profiles] - Turbulence microstructure profiles 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 profiles of turbulence dissipation rate obtained from a Rockland Scientific VMP-250 deployed 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. Cruise stations where dissipation rate profiles were obtained ranged from Georges Bank and the Great South Channel near the Gulf of Maine, 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. Matthew Rau (chief-sci) of the George Washington University.\n\ncdm_data_type = Other\nVARIABLES:\nDeployment_ID (unitless)\nStation (unitless)\nStation_Deployment (unitless)\nStation_Deployment_Profile (unitless)\nCruise_Deployment (unitless)\ntime (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\nlatitude (degrees_north)\nlongitude (degrees_east)\nt_rel (seconds)\np (dbar)\nT (degrees Celsius)\ne (watts per kilogram (W/kg))\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_945981_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_945981_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_945981_v1/index.htmlTable https://www.bco-dmo.org/dataset/945981 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_945981_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_945981_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_945981_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_774585_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_774585_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_774585_v1/ public [UCYN-A Host activity] - Experimental data testing the N2 and CO2 fixing activity of the UCYN-A/haptophyte symbiosis in nitrate and ammonium rich waters in the California Current from May to October 2017 (Collaborative Research: Biogeochemical significance of the abundant, uncultivated symbiotic cyanobacteria UCYN-A) Experimental data testing the N2 and CO2 fixing activity of the UCYN-A/haptophyte symbiosis in nitrate and ammonium rich waters in the California Current from May to October 2017.\n\ncdm_data_type = Other\nVARIABLES:\nExperiment (unitless)\nCruise (unitless)\nDate (unitless)\nlat (degrees_north)\nlongitude (degrees_east)\nTreatment (unitless)\nn (count)\niso_sub (unitless)\nbulk_fix_uptake_rate_bulk_avg (micromole Nitrogen per meter cubed per day (umol N/m3/d))\nbulk_fix_uptake_rate_bulk_sd (micromole Nitrogen per meter cubed per day (umol N/m3/d))\nC_fix_rate_bulk_avg (millimole Carbon per meter cubed per day (mmolC/m3/d))\nC_fix_rate_bulk_sd (millimole Carbon per meter cubed per day (mmolC/m3/d))\nLOD_bulk (umol N/m3/d or mmolC/m3/d depending on column it references)\nMQR_bulk (umol N/m3/d or mmolC/m3/d depending on column it references)\nsheet (unitless)\nchl_a_n (count)\nchla_avg (micrograms per liter (ug/L))\nchla_sd (micrograms per liter (ug/L))\nPON_n (count)\nPON_avg (micromole per liter (umol/L))\nPON_sd (micromole per liter (umol/L))\nPOC_n (count)\nPOC_avg (micromole per liter (umol/L))\nPOC_sd (micromole per liter (umol/L))\nSublineage (unitless)\nsub_enrich_atom_pcnt (percent)\n... (10 more variables)\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_774585_v1/index.htmlTable https://www.bco-dmo.org/dataset/774585 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_774585_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_774585_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_774585_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_905077_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_905077_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_905077_v1/ public [Ultrahigh Resolution Mass Spectrometry of a Depth Profile] - Ultrahigh resolution Mass Spectrometry 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 station (HOTS) Aloha in July 2021 (The fate of lysis products of picocyanobacteria contributes to marine humic-like chromophoric dissolved organic matter) This data set contains ultrahigh resolution mass spectrometric data collected at BATS and HOTS at 200 m depth intervals in August 2019, and July 2021, respectively.\n\ncdm_data_type = Other\nVARIABLES:\nStation_Location (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\nDate (unitless)\nReplicate (unitless)\nDepth (meters (m))\nMass (unitless)\nIntensity (unitless)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_905077_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_905077_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_905077_v1/index.htmlTable https://www.bco-dmo.org/dataset/905077 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_905077_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_905077_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_905077_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_918590_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_918590_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_918590_v1/ public [Underway Data] - Underway 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) This dataset contains underway data from four organic alkalinity estuary transects, in May and October of 2018 and 2019, completed in the Pleasant (Maine, USA) and St. John (New Brunswick, Canada) estuaries. See \"Related Datasets\" section for alkalinity data.  Discrete samples were collected at intervals of salinity along each estuary.  An underway measurements system was also operated during each transect.  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:\nyear (unitless)\nmonth (unitless)\nday (unitless)\nhour (unitless)\nminute (unitless)\nsecond (unitless)\ntime (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\nJulian_Day (unitless)\nsecDay (sssss)\nlat (degrees_north)\nlongitude (degrees_east)\nheading (degrees)\nspeed (meters per second (m/s))\nWt (degreesC)\ncond (millimho per centimeter (mmho/cm))\n... (13 more variables)\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_918590_v1/index.htmlTable https://www.bco-dmo.org/dataset/918590 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_918590_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_918590_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_918590_v1
log in [Urchin and Abalone Density Responses] - Urchin and abalone density responses to caged Pycnopodia field experiment in Sitka Sound urchin barrens, February 2023 from from February 2023 (High latitude kelp dynamics project) (CAREER: Energy fluxes and community stability in a dynamic, high-latitude kelp ecosystem) We conducted a field experiment in three replicate sea urchin barrens in Sitka Sound, AK (57°2'1\"N 135°15'51\"W) in February of 2023, where we deployed kelp blades at discrete distances on four meter radial cables from caged adult P. helianthoides and control cages for 24 hours. Via SCUBA we performed quadrat density surveys of three important kelp forest grazers (Haliotis kamtschatkana, Strongylocentrotus droebachiensis, and Mesocentrotus franciscanus) at discrete distances from the cage before, 15-30 min after, and 24 hours after P. helianthoides were added to the treatment cages.\n\ncdm_data_type = Other\nVARIABLES:\nQuadID (unitless)\nRayID (unitless)\nSite (unitless)\nlatitude (degrees_north)\nlongitude (Long, degrees_east)\nTreatment (unitless)\nReplicate (unitless)\nTreatRep (unitless)\nRay (unitless)\nDate (unitless)\nDiver (unitless)\nSurvey (unitless)\nTimePoint (units needed)\nHoursElapsed (hours)\ndepth_f (Depth_ft, feet (ft))\ndepth (Depth_m, m)\nQuad (unitless)\nDist_m (meters (m))\nSpecies (unitless)\nCount (individual)\nDensity_m2 (meters squared (m2))\nNotes (unitless)\n BCO-DMO bcodmo_dataset_942725_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_936224_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_936224_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_936224_v1/ public [Virus production at a hydrothermal vent site] - Virus and prokaryote abundances from experiments conducted with samples collected at a hydrothermal vent site by ROV SuBastian during R/V Falkor (too) expedition FKt230627 along the East Pacific Rise in July of 2023 (The Underworld of Hydrothermal Vents) We used the virus-dilution technique to quantify lytic virus production at nine sites across vent, sub-vent, and non-vent habitats along the East Pacific Rise during expedition FKt230627 aboard R/V Falkor(too). This technique leverages the density-dependent nature of viral infection, preventing new infections by dilution. Samples were collected via ROV SuBastian, sequentially filtered to remove larger particles, and concentrated using tangential-flow filtration. Duplicate incubations were set up with prokaryotic concentrate and virus-free water, pressurized to 250 bar, and incubated in the dark at in situ temperatures for 30 hours. Subsamples were taken every six hours for enumeration of prokaryotes and viruses via flow cytometry. Parallel experiments were conducted at surface pressure to assess the impact of pressure on virus production rates. The methodology ensures observed increases in viral abundance are due to pre-existing infections. The experiments were conducted aboard R/V Falkor(too) between 5-22 July 2023 by Tinkara Tinta and Nicole Krause. Prokaryotes and viruses were enumerated flow-cytometrically back in the lab by Christian Winter.\n\ncdm_data_type = Other\nVARIABLES:\ndive (unitlesss)\nsample_id (unitlesss)\nsubsample_id (unitlesss)\nhabitat (unitlesss)\nlatitude (degrees_north)\nlongitude (degrees_east)\ndepth (m)\ntemperature (degrees Celsius (degC))\nincubated_at_250bar (unitless)\ndate_local (unitless)\ntime_local (unitless)\ntime (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\nprokaryotes (Nx10^4 mL^-1)\nviruses (Nx10^4 mL^-1)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_936224_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_936224_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_936224_v1/index.htmlTable https://www.bco-dmo.org/dataset/936224 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_936224_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_936224_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_936224_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_928152_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_928152_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_928152_v1/ public [Water column geochemical composition] - Geochemical composition of water column samples collected in the Equatorial Pacific during October and November 2020 on R/V Kilo Moana cruise KM2012 (Collaborative Research: How and Why eNd Tracks Ocean Circulation) Water column, sediment, and pore water samples were collected during R/V Kilo Moana cruise KM2012 in the Equatorial Pacific during October and November 2020. This dataset includes elemental concentrations, Neodymium isotope ratios, pH, and nutrients from the water column samples.\n\ncdm_data_type = Other\nVARIABLES:\nStation_Number (unitless)\nLatitude (degrees_north)\nlongitude (degrees_east)\nDate (unitless)\nbottom_depth (meters (m))\nsample_name (unitless)\ndepth (m)\nLa_pM (picomolar (pmol/L))\nCe_pM (picomolar (pmol/L))\nPr_pM (picomolar (pmol/L))\nNd_pM (picomolar (pmol/L))\nSm_pM (picomolar (pmol/L))\nEu_pM (picomolar (pmol/L))\nGd_pM (picomolar (pmol/L))\nTb_pM (picomolar (pmol/L))\nDy_pM (picomolar (pmol/L))\nHo_pM (picomolar (pmol/L))\nEr_pM (picomolar (pmol/L))\nTm_pM (picomolar (pmol/L))\nYb_pM (picomolar (pmol/L))\nLu_pM (picomolar (pmol/L))\nCo_nM (nanomolar (nmol/L))\nNi_nM (nanomolar (nmol/L))\nCu_nM (nanomolar (nmol/L))\nZn_nM (nanomolar (nmol/L))\n... (11 more variables)\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_928152_v1/index.htmlTable https://www.bco-dmo.org/dataset/928152 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_928152_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_928152_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_928152_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_933292_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_933292_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_933292_v1/ public [Water Column Nitrate d15N Cocos Ridge Upper 1000m] - Average nitrate d15N values from the upper 1000 meters of the water column at four stations sampled in the Eastern Tropical North Pacific on R/V Sally Ride cruise SR2113 in December 2021 (Collaborative Research: New approaches to study calcium carbonate dissolution on the sea floor and its impact on paleo-proxy interpretations) We report nitrate isotope data at four stations (CR01, CR02, CR03, and CR05) in the Eastern Tropical North Pacific (ETNP). The cruise (R/V Sally Ride SR2113) occupied these four stations near the Cocos Ridge between 6.8 to 5.3 degrees North latitude and 86.6 to 88.26 degrees West longitude. Sampling occurred between December 2-14, 2021. A 24-bottle Niskin rosette and CTD were used to collect 30-milliliter (mL) water samples that were later analyzed using the denitrifier method. The data were collected by Kameko Landry in the Stable Isotope Biogeochemistry Laboratory at Boston College.\n\ncdm_data_type = Other\nVARIABLES:\nStation_ID (unitless)\ndepth (Depth_m, m)\nWC_NO3 (micromoles per kilogram (umol/kg))\nWC_d15N (permille vs air)\nWC_d15N_1sd (permille vs air)\nLatitude (degrees_east)\nlongitude (degrees_east)\nDate (unitless)\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_933292_v1/index.htmlTable https://www.bco-dmo.org/dataset/933292 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_933292_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_933292_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_933292_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_926498_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_926498_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_926498_v1/ public [Water temperature at coral reefs in Palau] - Water temperature 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?) Water temperature was measured at six coral reef sites in Palau from 2021 to 2023. Loggers (Hobo Tidbit) were attached to threaded rods embedded in the reef using zip ties. Water temperature was measured every 30 minutes.\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)\nTemperature (degrees Celsius)\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_926498_v1/index.htmlTable https://www.bco-dmo.org/dataset/926498 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_926498_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_926498_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_926498_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_564351_v3 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_564351_v3.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_564351_v3/ public [Weekly Surface Water Samples] - Weekly surface water samples from Newport Pier, CA collected between 11 January 2012 and 3 November 2023 (Biological Controls on the Ocean C:N:P ratios) Weekly surface water samples from Newport Pier, CA, were collected between 11 January 2012 and 3 November 2023.\n\nThis project is a continuation of a time series with weekly surface water sampling from the Microbes in the Coastal Region of Orange County (MICRO) time series station at Newport Pier (33°36.37'N, 117°55.87'W). We measured dissolved nitrate and phosphate in the water, as well as particulate organic carbon, nitrogen and phosphorus.\n\nThese data were published in Fagan et al. (2019), Larkin et al. (2020), and a pending publication, Larkin et al. (in press).\n\ncdm_data_type = Other\nVARIABLES:\nDate (unitless)\nNO3_1 (micromolar (uM))\nNO3_2 (micromolar (uM))\nNO3_3 (micromolar (uM))\nNO3_4 (micromolar (uM))\nNO3_5 (micromolar (uM))\nNO3_6 (micromolar (uM))\nNO3_Avg (micromolar (uM))\nSRP_1 (micromolar (uM))\nSRP_2 (micromolar (uM))\nSRP_3 (micromolar (uM))\nSRP_4 (micromolar (uM))\nSRP_5 (micromolar (uM))\nSRP_6 (micromolar (uM))\nSRP_Avg (micromolar (uM))\nPOP_1 (micromolar (uM))\nPOP_2 (micromolar (uM))\nPOP_3 (micromolar (uM))\n... (31 more variables)\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_564351_v3/index.htmlTable https://www.bco-dmo.org/dataset/564351 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_564351_v3.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_564351_v3&showErrors=false&email= BCO-DMO bcodmo_dataset_564351_v3
log in [Western Pacific Aerosol Data] - Inorganic nitrogen content; and nitrate, ammonium, and oxygen isotope composition of atmospheric particulates collected on Changdao Island, China from September 22, 2019 to September 5, 2020 (Collaborative Research: Characterization of Reactive Nitrogen in The North Pacific Atmosphere) These data include the content of total nitrogen, nitrate isotope (15N), ammonium isotope (15N), and oxygen isotope (17O and 18O) composition of atmospheric particulates collected on Changdao Island, China. Aerosol sampling was conducted from September 22, 2019 to September 5, 2020. A high-volume aerosol sampler (model 2031, Qingdao Laoying Environmental Technology Co) operating at 1.0 m3 min -1 with 25 × 20 cm filters was used. Recognizing the deposition of atmospheric particulates has the potential to understanding the important role of atmospheric deposition to the nitrogen cycle and biogeochemistry in the ocean. These data assess the contribution of atmospheric deposition to inorganic nitrogen and were collected by Dr. Ren Pen (pren@qnlm.ac) at the Ocean University of China.\n\ncdm_data_type = Other\nVARIABLES:\nCollectionTime (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\nCollectionPeriod_Hrs (hours)\nTotalAirVolume_m3 (cubic meters (m3))\nParticleWeight_g (grams (g))\nAmmoniumConcentration_ugPerm3 (micrograms per cubic meter (µg/m3))\nNitrateConcentration_ugPerm3 (micrograms per cubic meter (µg/m3))\nNitriteConcentration_ugPerm3 (micrograms per cubic meter (µg/m3))\nDelta15N_Nitrate (parts per thousand (permil) (‰))\nDelta15N_Ammonium (parts per thousand (permil) (‰))\nDelta18Oxygen_Nitrate (parts per thousand (permil) (‰))\nDelta17O_Nitrate (parts per thousand (permil) (‰))\n BCO-DMO bcodmo_dataset_948530_v1
log in [Western Pacific Cruise Data] - Total organic carbon, total nitrogen content; and nitrate, ammonium and oxygen isotope composition of atmospheric particulates collected aboard R/V Dong Fang Hong-3 in the western North Pacific from October 31 to December 1, 2019. (Collaborative Research: Characterization of Reactive Nitrogen in The North Pacific Atmosphere) These data include the content of total organic carbon content, carbon isotope (13C and 14C), total nitrogen, nitrate isotope (15N), ammonium isotope (15N), and oxygen isotope (17O and 18O) composition of atmospheric particulates collected during western North Pacific Cruise. 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. Instruments used were 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 understanding the important role of atmospheric deposition to the nitrogen cycle and biogeochemistry in the ocean. These data assess the contribution of atmospheric deposition to inorganic nitrogen and were collected by Chief Scientist Zaohui, Chen (chenzhaohui@ouc.edu.cn) at the Ocean University of China.\n\ncdm_data_type = Other\nVARIABLES:\nSample_Number (unitless)\nDate (unitless)\nStart_time (unitless)\ntime (Start_datetime_utc, seconds since 1970-01-01T00:00:00Z)\nSampling_period_h (hours (hrs))\nlatitude (degrees_north)\nlongitude (degrees_east)\nDuplicate (unitless)\nTotal_Air_Volume_L (liter (L))\nTotalAirVolume_m3 (cubmic meters (m3))\nParticleWeight_mg (miligrams (mg))\nTOC_percent (percentage (%))\nTN_percent (percentage (%))\nC_N_Ratio (unitless)\nCarbon13_12_Ratio (parts per thousand (permil) (‰))\nDelta15N_Nitrate (parts per thousand (permil) (‰))\nDelta15N_NH4 (parts per thousand (permil) (‰))\nDelta18Oxygen_Nitrate (parts per thousand (permil) (‰))\nDelta17O_Nitrate (parts per thousand (permil) (‰))\n BCO-DMO bcodmo_dataset_947080_v1
log in [Western Pacific Hawaii Aerosol Data] - Aerosol composition data of ion concentrations (ammonium, nitrate, nitrite, sodium, chloride, magnesium, calcium, potassium, sulfate); and ammonium and nitrate isotope (15N) of atmospheric particulates collected in Hawaii from March 2021 to August 2022 (Collaborative Research: Characterization of Reactive Nitrogen in The North Pacific Atmosphere) These data include aerosol composition data of ion concentrations (ammonium, nitrate, nitrite, sodium, chloride, magnesium, calcium, potassium, sulfate), and ammonium isotope (15N) of atmospheric particulates collected on Oahu, Hawaii. Aerosol sampling was conducted from March 2021 to June 2022 and collected roughly every seven days. A high-volume aerosol sampler operating at 1,200 L min-1 with 25 × 20 cm filters was used. Recognizing the deposition of atmospheric particulates has the potential to understanding the important role of atmospheric deposition to the nitrogen cycle and biogeochemistry in the ocean. These data assess the contribution of atmospheric deposition to inorganic nitrogen and were collected by Mitchell Pinkerton at the Ocean University of Hawaii.\n\ncdm_data_type = Other\nVARIABLES:\nSample_ID (unitless)\nDate (unitless)\nCollection_Location (units)\nlatitude (degrees_north)\nlongitude (degrees_east)\nCollectionPeriod_Hrs (hours (hrs))\nTotalAirVolume_m3 (Liter (L))\nParticleWeight_g (milligram (mg))\nAmmoniumConcentration_ugPerm3 (micrograms per cubic meter (µg/m3))\nNitrateConcentration_ugPerm3 (micrograms per cubic meter (µg/m3))\nSodiumConcentration_ugPerm3 (micrograms per cubic meter (µg/m3))\nPotassiumConcentration_ugPerm3 (micrograms per cubic meter (µg/m3))\nMagnesiumConcentration_ugPerm3 (micrograms per cubic meter (µg/m3))\nCalciumConcentration_ugPerm3 (micrograms per cubic meter (µg/m3))\nChlorideConcentration_ugPerm3 (micrograms per cubic meter (µg/m3))\nSulfateConcentration_ugPerm3 (micrograms per cubic meter (µg/m3))\nDelta15N_Ammonium (parts per thousand (permil) (‰))\nDelta15N_Nitrate (parts per thousand (permil) (‰))\n BCO-DMO bcodmo_dataset_946741_v1
log in [Western Pacific Precipitation Data] - Total organic carbon and total nitrogen content; and nitrogen and oxygen isotope  composition of precipitation collected at Qindao, Yantai and Changdao Island, China from May 17, 2019 to August 31, 2020. (Collaborative Research: Characterization of Reactive Nitrogen in The North Pacific Atmosphere) These data include the content of total organic carbon content and total nitrogen, and nitrogen (15N) and oxygen (17O and 18O) isotope composition of precipitation collected at three fixed locations: Qindao (121°28'15\" E, 31°37'21\" N), Yantai (121°27'40\" E, 37°31'20\" N), and Changdao Island (120°45'20\" E, 38°10'23\" N) in China. the rainwater samples collected on the Changdao Island were via an automatic rainwater collector (Model XHARS30C, Jinshui Huayu Scientific Inc. Weifang, China), and all other rainwaters collected in Yantai and Qindao were via stainless buckets from May 17, 2019 to August 31, 2020. Recognizing the deposition from precipitation has the potential to understanding the important role of atmospheric deposition to the nitrogen cycle and biogeochemistry in the ocean. These data assess the contribution of atmospheric deposition to organic carbon and were collected by Dr. Ren Pen (pren@qnlm.ac) at the Ocean University of China.\n\ncdm_data_type = Other\nVARIABLES:\nDate (unitless)\nSite (unitless)\nlongitude (degrees_east)\nlatitude (degrees_north)\nDuplicate (unitless)\nAmmoniumConcentration_umolperL (micromoles per lieter (umol / L))\nNitrateConcentration_umolperL (micromoles per lieter (umol / L))\nNitriteConcentration_umolperL (micromoles per lieter (umol / L))\nPhosphateConcentration_umolperL (micromoles per lieter (umol / L))\nDissolvedSilicaConcentration_umolperL (micromoles per lieter (umol / L))\nDINConcentration_umolperL (micromoles per lieter (umol / L))\nTDNConcentration_umolperL (micromoles per lieter (umol / L))\nDONConcentration_umolperL (micromoles per lieter (umol / L))\nDOCConcentration_umolperL (micromoles per lieter (umol / L))\nDelta15N_Nitrate (parts per thousand (permil) (‰))\nDelta15N_Ammonium (parts per thousand (permil) (‰))\nDelta18Oxygen_Nitrate (parts per thousand (permil) (‰))\nDelta17Oxygen_Nitrate (parts per thousand (permil) (‰))\n BCO-DMO bcodmo_dataset_948560_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_894148_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_894148_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_894148_v1/ public [Whelk-Barnacle Predation Experiments] - Results from mesocosm experiments measuring how temperature affects predation rates by whelks on barnacles (The Role of Temperature in Regulating Herbivory and Algal Biomass in Upwelling Systems) These data contain results from mesocosm experiments measuring how temperature affects predation rates by whelks on barnacles. These results include barnacles eaten and whelk movements under warm and cold conditions. The experiments were done in the Galapagos Science Center in San Cristobal, Galapagos.  Estimates of how temperature modifies activity and predation rates will help understand and predict changes in marine communities under future climate change scenarios.\n\ncdm_data_type = Other\nVARIABLES:\nDay_of_Week (unitless)\nISO_DateTime_Local (unitless)\ntime (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\nAquarium (unitless)\nTreatment (unitless)\nTemperature (degrees Celsius)\nPosition_of_Whelk (unitless)\nWhelkPosition (unitless)\nDeadControl (unitless)\nDeadPrey (unitless)\nPreyEaten (unitless)\nNote (unitless)\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_894148_v1/index.htmlTable https://www.bco-dmo.org/dataset/894148 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_894148_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_894148_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_894148_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_934772_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_934772_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_934772_v1/ public [Whole genome sequence data for Pisaster ochraceus] - Whole genome sequence data for Pisaster ochranceus samples collected from the Pacific coast of North America from July 2004 to May 2018 (Collaborative Proposal: Selection and Genetic Succession in the Intertidal -- Population Genomics of Pisaster ochraceus During a Wasting Disease Outbreak and its Aftermath) This dataset includes collection and accession information for whole genome sequence (WGS) data from 65 Pisaster ochraceus (ochre sea star) collected across latitudes ranging from SE Alaska to southern California. The sequence data have been deposited into NCBI SRA archive under BioProject PRJNA1117092 and will be publicly available on 2025-08-01. These data are used to evaluate the population genomic diversity and divergence of spatially and environmentally separated populations of Pisaster ochraceus.\n\ncdm_data_type = Other\nVARIABLES:\nsample_name (unitless)\nbioproject_accession (unitless)\nbioproject_ncbi (unitless)\nassay_type (unitless)\norganism (unitless)\nisolation_source (unitless)\ncollection_date (unitless)\niso_collection_date (unitless)\ngeo_loc_name (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\ntissue (unitless)\nbiomaterial_provider (unitless)\ncollected_by (unitless)\nhost_tissue_sampled (unitless)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_934772_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_934772_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_934772_v1/index.htmlTable https://www.bco-dmo.org/dataset/934772 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_934772_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_934772_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_934772_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_924786_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_924786_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_924786_v1/ public [Whole Genome Sequencing of Eelgrass Bodega and Tomales Bay] - Sample collection information and sequence accessions at the National Center for Biotechnology Information (NCBI) for whole genome sequencing of eelgrass (Zostera marina) collected at Bodega and Tomales Bay, CA, USA from July to September 2019 (Using genomics to link traits to ecosystem function in the eelgrass Zostera marina) This dataset includes sample collection information and sequence accessions at the National Center for Biotechnology Information (NCBI) for whole genome sequencing of eelgrass (Zostera marina) collected at Bodega and Tomales Bay, California, USA from July and September of 2019. Sequence Read Archive (SRA) Experiments and BioSamples can be accessed from the NCBI BioProject PRJNA887384 (https://www.ncbi.nlm.nih.gov/bioproject/PRJNA887384/).\n\nResults summary as described in Scheibelhut, et al. (2023): We examine genomic signals of selection in the eelgrass Zostera marina across temperature gradients in adjacent embayments. Although we find many genomic regions with signals of selection within each bay there is very little overlap in signals of selection at the SNP level, despite most polymorphisms being shared across bays. We do find overlap at the gene level, potentially suggesting multiple mutational pathways to the same phenotype. Using polygenic models we find that some sets of candidate SNPs are able to predict temperature across both bays, suggesting that small but parallel shifts in allele frequencies may be missed by independent genome scans. Together, these results highlight the continuous rather than binary nature of parallel evolution in polygenic traits and the complexity of evolutionary predictability.\n\ncdm_data_type = Other\nVARIABLES:\naccession (unitless)\nsample_name (unitless)\nbioproject_accession (unitless)\nSite (unitless)\norganism (unitless)\ncollection_date (unitless)\nisolation_source (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_924786_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_924786_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_924786_v1/index.htmlTable https://www.bco-dmo.org/dataset/924786 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_924786_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_924786_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_924786_v1
log in [Wild copepod pool-seq data] - Pool-seq data from wild populations of copepods in the North Sea from May 2014 (Evolutionary genomics of a copepod project) (Evolutionary Responses to Global Changes in Salinity and Temperature) This dataset was generated from studies of wild populations of Eurytemora affinis (E. affinis). Copepod populations were collected from three locations in the North Sea using bongo nets with 100 micrometer (μm) mesh and stored in RNAlater. Sampling locations included two freshwater lakes and one brackish estuary. Individual copepods (100 individuals, 50:50 male:female) were pooled and their DNA was extracted. Paired-end whole-genome sequencing libraries were prepared using the Illumina Nextera DNA kit (Illumina, Inc.) and sequenced on three lanes of an Illumina HiSeq 2000 sequencer, generating an average of approximately 158 million paired-end (100 bp) reads per pool. These data have been deposited in the National Center for Biotechnology Information (NCBI) under BioProject number PRJNA923656.\n\ncdm_data_type = Other\nVARIABLES:\nLocation (unitless)\nCollection_Date (unitless)\nSample_Code (unitless)\nSample_Salinity (Practical salinity units (PSU))\nSample_Temperature (degrees Celsius)\nLatitude (degrees_north)\nLongitude (degrees_east)\nBioSample (unitless)\nSRA_Run (unitless)\n BCO-DMO bcodmo_dataset_897977_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_931936_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_931936_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_931936_v1/ public [Winam Gulf Metagenomic Time Series] - Metagenomic Time Series of Winam Gulf, Lake Victoria from 2022-2023 (ASI Lake Victoria project) (IRES Track II: Advanced studies institute on water quality and harmful algal blooms in Lake Victoria) Compared to the other \"Great Lakes\" (Laurentian Great Lakes of North America and Lake Baikal of Russia) the African Great Lakes have remained widely unstudied. This serves as a substantial research gap within the limnological literature given the African Great Lakes contribute approximately 25% of all global, accessible freshwater.  Lake Victoria of the African Great Lakes is notable for its large size - serving as the second largest freshwater lake in the world by surface area. Yet, Lake Victoria is also known for the prolific year-long cyanobacterial blooms that occur throughout her waters such as the Winam Gulf. These blooms are fueled by intense agricultural and anthropogenic development much like other freshwater harmful algal blooms. However, unlike other freshwater blooms such as those occurring in Lake Erie and Lake Taihhu - these cyanobacterial blooms have remained widely uncharacterized (especially using molecular techniques). \n\nThe central study area is the Winam Gulf of Lake Victoria, Kenya. This is a relatively shallow, hypereutrophic system that has various rivers serving as nutrient loading sources (such as the Sondu River). This dataset also contains opportunistic samples collected from a variety of riverine systems and Lakes Simbi and Naivasha. \n\nHere, we present the biological, chemical and physical data corresponding to a two year metagenomic time series of the Winam Gulf, Lake Victoria. We further present the physiochemical data of eight outgroup samples including adjacent riverine systems and Lakes Simbi and Naivasha.\n\ncdm_data_type = Other\nVARIABLES:\nLibrary_ID (unitless)\nSite_Name (unitless)\nReplicate_id (unitless)\nSampleID (unitless)\nStudyID (unitless)\nSample_type (unitless)\nLake_or_river (unitless)\nlatitude (degrees_north)\n... (40 more variables)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_931936_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_931936_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_931936_v1/index.htmlTable https://www.bco-dmo.org/dataset/931936 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_931936_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_931936_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_931936_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_949394_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_949394_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_949394_v1/ public [Winter survey data from Lake Erie from Dec 2022 to Mar 2023] - Winter survey data from Lake Erie from Dec 2022 to Mar 2023 (Lake Erie Center for Fresh Waters and Human Health) This dataset includes winter survey data from Lake Erie collected on USCGC Neah Bay, CCGS Griffon, and CCGS Samuel Risley from December 2022 to March 2023. The survey includes environmental observations, physico-chemical data, chlorophyll, total and dissolved nutrients. 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)\nAlt_Station (unitless)\nLake (unitless)\nDate (unitless)\nTime_EST (unitless)\ntime (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\nlatitude (degrees_north)\nlongitude (Long, degrees_east)\nWater_Depth (meters (m))\nIce_Cover (percent (%))\nSnow_Cover (percent (%))\nIce_Type (unitless)\nIce_Thickness (inches (in))\nAir_Temp (Degrees Celsius)\nWater_Temp (Degrees Celsius)\nDO (microgram per liter (µg L-1))\nDO_percent (percent (%))\nCond (microsiemens per centimeter (uS/cm))\npH (unitless (pH scale))\nSechhi (meters (m))\nBaro_Press (Hg)\n... (16 more variables)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_949394_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_949394_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_949394_v1/index.htmlTable https://www.bco-dmo.org/dataset/949394 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_949394_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_949394_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_949394_v1
log in [Winter temperature data from northeast Pacific embayments] - Winter temperature data from loggers placed in shallow subtidal areas in the northeast Pacific from Oct 2019 to Jul 2024 (Collaborative Research: Tracking fine-scale selection to temperature at the invasion front of a highly dispersive marine predator) Dataset includes winter temperature logger data for a suite of embayments in the northeast Pacific. Data were collected as part of an NSF-funded project on invasive European green crab adaptation; loggers were placed in the shallow subtidal in areas determined by Washington Sea Grant's Crab Team to be good environments for green crabs. Loggers were placed by multiple collaborators without a fully standardized approach; metadata are incomplete but include all available information. Loggers used were iButtons and HOBO pendant loggers. Two loggers were placed at each site in the shallow subtidal with the goal that they were always submerged in water while deployed (i.e., not emersed). Logging frequency depended on the monitor type; iButtons captured water temperatures every 2.15 hours, and HOBO loggers recorded water temperature every 30 minutes over the winter. Deployment duration varied between years and sites, but typically ran from October - April.\n\ncdm_data_type = Other\nVARIABLES:\ntime (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\nLocal_DateTime (unitless)\nTemperature (degrees Celsius)\nFile_Name (unitless)\nSiteNumber (unitless)\nSiteName (unitless)\nHabType (unitless)\nType (unitless)\nModel (unitless)\nSerialNumber (unitless)\nLoggerStartDate (unitless)\nDeploymentDate (unitless)\nDeploymentTime (unitless)\nDeploymentDateTime (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\nDeployedBy (unitless)\nRetrievalDate (unitless)\nAnchorType (unitless)\nTimeVar (seconds)\nNotes (unitless)\n BCO-DMO bcodmo_dataset_949897_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_937020_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_937020_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_937020_v1/ public [X-ray diffraction from seafloor sulfide deposits East Pacific Rise 9-10 North] - Synchrotron micro-probe X-ray diffraction data from seafloor sulfide deposits collected during cruise AT42-09 on the East Pacific Rise (EPR) in April 2019. (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) Synchrotron micro-probe X-ray diffraction 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 in 2019-2021 on cruise AT42-09. Samples were collected using the HOV Alvin. 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 X-ray diffraction at the X-ray Fluorescence Microprobe beamline \"XFM\", National Synchrotron Light Source II (NSLS II), Brookhaven National Laboratory, NY.\n\ncdm_data_type = Other\nVARIABLES:\nCruise (unitless)\nFile_name (unitless)\nSample_name (unitless)\nsample_descrip (Time, unitless)\nHydrotherml_vent_category (unitless)\nLocation (unitless)\nlatitude (Lat_dd, degrees_north)\nlongitude (Lon_dd, degrees_east)\ndepth_f (Depth_mbs, m)\nHdg (degrees)\nDate_collected (unitless)\nTime_collected (unitless)\ntime (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_937020_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_937020_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_937020_v1/index.htmlTable https://www.bco-dmo.org/dataset/937020 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_937020_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_937020_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_937020_v1
log in [Year 1 orbitrap MZML files] - Raw proteome mass spectrometry data (.mzML files) from pacific herring embryos sampled at Semiahmoo Bay between February and April 2022 (MCA: Utilizing high-throughput proteomics to build a conceptual model of the effects of environmental change on early life stages of genetically diverse herring populations) These are the raw data files from 5 cohorts of pacific herring embryos collected from Feb through April of 2022.  Embryos were homogenized, and digested for proteomic analysis on a Lumos Orbitrap.  Pooled samples were used with narrow window scans for library generation. The purpose of this data set is exploratory analysis for seasonal differences between early life stage proteome of pacific herring.  All embryos are believed to be from the Semiahmoo Bay population since the Cherry Point population had no spawn detected in 2022.\n\ncdm_data_type = Other\nVARIABLES:\nLocation (unitless)\nDate_Sampling (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\nSample_ID (unitless)\nCohort (unitless)\nReplicate (unitless)\nMass_Spec_Run_Number (unitless)\nDate_Mass_Spec (unitless)\nSample_Type (unitless)\nFilename (unitless)\n BCO-DMO bcodmo_dataset_938909_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_915900_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_915900_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_915900_v1/ public [Zooplankton abundance and size from Bongo plankton net tows] - Zooplankton abundance and size data from Bongo plankton net tows conducted in the subtropical Southern California Bight during February and April 2021 (RAPID: Understanding the unprecedented anchovy response to warm-water conditions in the California Current) This dataset includes zooplankton abundance and size from Bongo plankton net tows conducted in the subtropical Southern California Bight during February and April 2021. 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)\nLat (degrees_north)\nlongitude (Long, degrees_east)\nTow_depth (meters (m))\nMesh_size (micrometers (um))\nTaxa (unitless)\nDevelopment_stage (unitless)\nind_per_cubic_m (individuals per cubic meter)\nAvg_length (micrometers (um))\nSD_length (micrometers (um))\nAvg_width (micrometers (um))\nSD_width (micrometers (um))\nNum_Measured (unitless)\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_915900_v1/index.htmlTable https://www.bco-dmo.org/dataset/915900 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_915900_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_915900_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_915900_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_926368_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_926368_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_926368_v1/ public [Zooplankton Acidification Lab Results] - Results from Calanus pacificus Acidification Laboratory Experiments from 2019-2020 (Zooplankton Swimming project) (Causes and consequences of hypoxia and pH impacts on zooplankton: Linking movement behavior  to vertical distribution.) We conducted laboratory experiments using stratified 1 m x 0.1 × 0.1 acrylic water columns to measure the effects of bottom water hypoxia and low pH on mortality, distribution, and swimming behaviors of the calanoid copepod Calanus pacificus. Calanus pacificus were collected from within Puget Sound, Washington, USA, between June and October of 2019 and 2020.  Their behaviors and vertical distributions in response to either hypoxic or acidified bottom waters were observed in an array of 4 replicate columns. Swimming behavior was observed for 90 minutes using 5-megapixel IR USB cameras. Two front-facing cameras (‘bottom camera', ‘surface camera') recorded swimming in the X (left, right) and Z (up, down) directions. An upwards-facing ‘base camera' was added to each tank in 2020 to improve tracking and behavioral analysis of copepods near the bottom. Base cameras recorded the bottom 2 cm of each tank in the X and Y (front, back) directions. \n\nThe primary data file of this dataset contains collection and organism details for copepods used in acidification experiments (926368_v1_zooplankton_acidification_pH_experiment_overview.csv). This dataset also includes four Supplemental Files .csv files summarizing results from our acidification experiments (926368_v1_zooplankton_acidification_pH_chemistry.csv, 926368_v1_zooplankton_acidification_pH_moribundity.csv, 926368_v1_zooplankton_acidification_pH_mean_height.csv, 926368_v1_zooplankton_acidification_pH_speed.csv).\n\ncdm_data_type = Other\nVARIABLES:\nExperiment_Date (unitless)\nCollection_Date (unitless)\nSort_Date (unitless)\nCollector (unitless)\nCollection_Site (unitless)\nLifestage (unitless)\nSex (unitless)\nCollection_Lat (degrees_north)\nlongitude (Collection_long, degrees_east)\nExperiment_Type (unitless)\nCollection_Notes (unitless)\nExperiment_Notes (unitless)\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_926368_v1/index.htmlTable https://www.bco-dmo.org/dataset/926368 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_926368_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_926368_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_926368_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_928222_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_928222_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_928222_v1/ public [Zooplankton In Situ Videos] - In Situ Amphipod and Copepod Video Output Captured by the Hoodsport ORCA Profiling Mooring Mounted SPC-2 Zoocam in the Hood Canal, Puget Sound, Washington from August to September 2018 (Zooplankton Swimming project) (Causes and consequences of hypoxia and pH impacts on zooplankton: Linking movement behavior  to vertical distribution.) This dataset consists of videos of zooplankton swimming taken by an in-situ camera system (the SPC UW ZooCam) that was deployed on the Hoodsport ORCA profiling mooring in Hood Canal (Puget Sound), WA in summer 2018. Understanding zooplankton population dynamics is challenging, largely because traditional methods for quantifying zooplankton distributions are costly, limited in scope, and require extended analysis by trained analysts. We developed a novel methodology that combined remotely deployed camera systems, Machine Learning-based identification of zooplankton, and video-based tracking technology to quantify copepods' and amphipods' in situ swimming behaviors in a seasonally hypoxic and acidified fjord.\n\ncdm_data_type = Other\nVARIABLES:\nvid_id (unitless)\ndatetime_utc (unitless)\ntotal_frames (frames)\navg_frm_rate (frames per second)\nnearest_ctd_cast (unitless)\nnearest_ctd_offset (unitless)\ndepth (m)\noxygen (milligrams per liter (mg/L))\ntemperature (degrees Celcius)\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_928222_v1/index.htmlTable https://www.bco-dmo.org/dataset/928222 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_928222_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_928222_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_928222_v1
log in [ZooProcess and Ecotaxa Output Along Physical Gradients from OAPS] - ZooProcess and Ecotaxa output from ZooSCANs of zooplankton collected along physical gradients during OAPS MOCNESS tows during R/V Oceanus northwest Atlantic 2011 cruise OC473 and R/V New Horizon northeast Pacific 2012 cruise NH1208 and imaged in 2021-2022 (Quantifying the drivers of midwater zooplankton community structure) This dataset consists of the imaging portion of the study described below and includes ZooProcess and Ecotaxa outputs from ZooSCANs performed of zooplankton collected during Multiple Opening-Closing Net and Environmental Sensing System (MOCNESS) tows during R/V Oceanus cruise OC473 in the Northwestern Atlantic in 2011 and R/V New Horizon cruise NH1208 in the Northeastern Pacific in 2012. It includes data for this project from Ecotaxa (export v1.0), an online machine-learning platform that assists in identifying organisms and particles.  The dataset also includes particle measurements generated by ZooProcess software. Day and night stations were sampled between 0 to 1000m depths from 35 to 50 N in the northwest Atlantic in 2011, and from 35 and 50N along CLIVAR line P17N in 2012. These representative subsamples of the formalin-preserved zooplankton community from each net were imaged in 2021 and 2022.\n\nProject description: The objective of this study was to determine how environmental variables shape zooplankton community structure in the midwater. Our primary overarching hypothesis was that the abundance and size class distribution of the zooplankton community are decoupled and are influenced by different environmental variables. Furthermore, differences in zooplankton community composition and diversity in the observed distinct oceanic biogeographical provinces additionally influences both factors. Since zooplankton contributions to biogeochemistry are size dependent, standard descriptions of zooplankton community (biomass, which is a product of size and abundance) are insufficient to generate a predictive understanding of the role of zooplankton in biogeochemical cycles. The project uses particle imaging technology and metabarcoding of archived biological samples in conjunction with open access hydrographic data from two cruises conducted in the N. Atlantic and N. Pacific to test these hypotheses.\n\ncdm_data_type = Other\nVARIABLES:\nobject_id (unitless)\nlatitude (Object_lat_start, degrees_north)\nlongitude (Object_lon_start, degrees_east)\nobject_date (unitless)\nobject_time (unitless)\ntime (Object_iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\n... (146 more variables)\n BCO-DMO bcodmo_dataset_932252_v1
log in [ZooProcess and Ecotaxa Output for Zooplankton Mediated Aggregates] - ZooProcess and Ecotaxa output from ZooSCANs of zooplankton collected with MOCNESS tows during six R/V Atlantic Explorer cruises from 2021 to 2023 (Collaborative Research: Zooplankton mediation of particle formation in the Sargasso Sea) This dataset consists of ZooProcess and Ecotaxa outputs from ZooSCANs of plankton caught in the upper 600m using Multiple Opening-Closing Net and Environmental Sensing System (MOCNESS) tows during day- and night-time. It includes data for this project from Ecotaxa (export v1.0), an online machine-learning platform that assists in identifying organisms and particles. The dataset also includes particle measurements generated by ZooProcess software. These samples were collected and processed over two years, with three cruises a year to capture distinct seasons. The goal of this data was to assess high-resolution vertical distribution of zooplankton in order to distinguish diel vertical migrators from resident populations and to quantify contributions to particulate organic carbon flux via fecal pellet production. \n\nProject description: The oceanic biological carbon pump refers to the export of dissolved and particulate organic carbon to the deep ocean, and it is a significant driver of atmospheric carbon uptake by the oceans. Evidence from long-term research carried out at the Bermuda Atlantic Time-series Study (BATS) site suggests that the spectrum of particles collected by gel-traps below the euphotic zone changes drastically below 150 m, which is attributed to resident populations of zooplankton that feed on vertically migrating zooplankton as well as sinking particles. The goals of this study are to investigate the role of different zooplankton taxa on both particle aggregate formation and in particle transformation, and to compare and characterize the particles generated by the zooplankton communities with those collected by particle traps.\n\ncdm_data_type = Other\nVARIABLES:\nobject_id (unitless)\nlatitude (Object_lat_start, degrees_north)\nlongitude (Object_lon_start, degrees_east)\nobject_date (unitless)\nobject_time (unitless)\ntime (Object_iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\nobject_link (unitless)\nobject_depth_min (Meters)\nobject_depth_max (Meters)\n... (143 more variables)\n BCO-DMO bcodmo_dataset_931883_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_924852_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_924852_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_924852_v1/ public [Zostera marina whole genome resequencing] - Sample collection and sequence accession information for Zostera marina whole genome resequencing from specimens collected at 16 geographic locations worldwide in 2017 (Using genomics to link traits to ecosystem function in the eelgrass Zostera marina) This dataset includes sample collection and sequence accession information for Zostera marina whole genome resequencing from specimens collected at 16 geographic locations worldwide in 2017. Sequence accessions are housed in the National Center for Biotechnology Information (NCBI) Sequence Read Archive (SRA).\n\ncdm_data_type = Other\nVARIABLES:\nSampleID (unitless)\nBioProject (unitless)\nLibrary_Code (unitless)\nSample_Description (unitless)\nLocation_Name (unitless)\nlatitude (degrees_north)\nlongitude (Long, degrees_east)\nSRA_accession (unitless)\nLibrary_type (unitless)\nSampled_tissue (unitless)\nInstrument (unitless)\nreads (unitless)\nNumber_of_bases_Raw_fastq (count)\nCoverage_Raw_fastq (genomes)\nNumber_of_bases_Clean_fastq (count)\nCoverage_Clean_fastq (genomes)\nMapped_pcnt (percent)\nProperly_paired_pcnt (percent)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_924852_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_924852_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_924852_v1/index.htmlTable https://www.bco-dmo.org/dataset/924852 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_924852_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_924852_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_924852_v1

 
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