* The List of All Active Datasets in this ERDDAP *

This dataset is a table which has a row of information for each dataset currently active in this ERDDAP.

cdm_data_type = Other
VARIABLES:
datasetID (Dataset ID)
accessible
institution
dataStructure (Data Structure)
cdm_data_type (Common Data Model Type)
class (ERDDAP Class)
title
minLongitude (Minimum Longitude, degrees_east)
maxLongitude (Maximum Longitude, degrees_east)
longitudeSpacing (Average Grid Longitude Spacing, degrees_east)
minLatitude (Minimum Latitude, degrees_north)
maxLatitude (Maximum Latitude, degrees_north)
latitudeSpacing (Average Grid Latitude Spacing, degrees_north)
minAltitude (Minimum Altitude (or negative Depth), m)
maxAltitude (Maximum Altitude (or negative Depth), m)
minTime (Minimum Time, seconds since 1970-01-01T00:00:00Z)
maxTime (Maximum Time, seconds since 1970-01-01T00:00:00Z)
timeSpacing (Average Grid Time Spacing, seconds)
griddap (Base URL of OPeNDAP Grid Service)
subset (URL of Subset Web Page)
tabledap (Base URL of OPeNDAP Table/Sequence Service)
MakeAGraph (URL of Make-A-Graph Web Page)
sos (Base URL of SOS Service)
wcs (Base URL of WCS Service)
wms (Base URL of WMS Service)
files (Base URL of "files" Service)
... (10 more variables)


[13C incubation cell counts] - Counts of Prochlorococcus from on-deck incubations with 13C-bicarbonate as part of DNA-SIP experiments conducted on Hawaii Ocean Time-series (HOT) cruises, HOT283 and HOT288 in 2016 (Microbial ecology of coexisting ecotypes: Are all Prochlorococcus equal?)

Counts of Prochlorococcus from on-deck incubations with 13C-bicarbonate as part of DNA-SIP experiments conducted on Hawaii Ocean Time-series (HOT) cruises, HOT283 and HOT288 in 2016.

cdm_data_type = Other
VARIABLES:
cruise (unitless)
incubation (unitless)
depth2 (Depth, unitless)
timepoint (hours)
replicate (unitless)
prochlorococcus (cells per milliliter (cells/mL))


[14C 32Si Experimental - from RR1813] - 32Si and 14C production data (experimental) from EXPORTS cruise RR1813 on R/V Roger Revelle in the Subarctic North Pacific near Station PAPA from August to September 2018 (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 32Si and 14C production data (experimental) from EXPORTS cruise RR1813. The EXPORTS field campaign in the subarctic North Pacific sampled an ecosystem characterized as high nutrient low chlorophyll (HNLC) due to low iron (Fe) levels that are primary controllers constraining phytoplankton utilization of other nutrients. It has been a paradigm in low Fe, HNLC systems that diatoms grow at elevated Si:C and Si:N ratios and should be efficiently exported as particles significantly enriched in Si relative to C. However, Fe limitation also alters diatoms species composition and the high Si demand imposed by low Fe can drive HNLC regions to Si limitation or Si/Fe co-limitation. Thus, the degree of Si and/or Fe stress in HNLC waters can all alter diatom taxonomic composition, the elemental composition of diatom cells, and the path cells follow through the food web ultimately altering diatom carbon export.\r\n\r\nWithin each ecosystem state examined in the EXPORTS program, nutrient biogeochemistry, diatom and phytoplankton community structure, and global diatom gene expression patterns (metatranscriptomics) are characterized in the lit ocean. Nutrient amendment experiments with tracer addition (14C, 32Si) are used to quantify the level of Si 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.

cdm_data_type = Other
VARIABLES:
Cruise (unitless)
Date_Zulu (unitless)
Time_Zulu (unitless)
Event_num (unitless)
Activity (unitless)
Station (unitless)
Cast (unitless)
latitude (degrees_north)
longitude (degrees_east)
Rosette_Bottle (unitless)
depth (Target Depth, m)
pcnt_lo (unitless (percent))
... (22 more variables)


[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.

In 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.

cdm_data_type = Other
VARIABLES:
collection_date (unitless)
latitude (degrees_north)
longitude (degrees_east)
accession (unitless)
sample_name (unitless)
species_ab (unitless)
sample_type (unitless)
organism (unitless)
... (6 more variables)


[16S rRNA amplicon sequence metadata from water samples and biofilms] - 16S rRNA gene amplicon sequences metadata collected from water samples and biofilms on mineral substrates deployed in the Lau Basin (Tonga) during  R/V Thompson cruise TN401 from Mar to Apr 2022 (RUI: Collaborative Research: The impact of symbiont-larval interactions on species distributions across southwestern Pacific hydrothermal vents)

16S rRNA gene amplicon sequences were generated from biofilms present on crushed substrates deployed at Lau Basin hydrothermal vents for approximately two weeks during R/V Thompson cruise TN401 from March to April 2022, typically in diffuse fluid flow. 16S rRNA gene amplicon sequences were generated from seawater or hydrothermal fluid samples collected on to filters via ROV deployed instruments. This dataset contains NCBI accession metadata and sample collection information.

cdm_data_type = Other
VARIABLES:
Sample_ID (unitless)
Bioproject_accession (unitless)
Biosample_accession (unitless)
Collection_date (unitless)
latitude (degrees_north)
longitude (degrees_east)
depth (m)
Sample_type (unitless)
Colonizer_No (unitless)
SRA_Study (unitless)
SRA_accession (unitless)
Sequencing_technologies (unitless)


[16S rRNA gene from DNA] - 16S rRNA gene (from DNA) from samples collected on cruise Chikyu-331 in the Okinawa Trough, Japan from September to October 2010 (An In-Depth analysis of the subvent biosphere within Okinawa Backarc Basin (IODP 331, Iheya North Hydrothermal Field) sediments)

The purpose of this dataset was to investigate taxonomic changes via the 16S rRNA gene from extractable DNA across 45 meters of recovered core. The temperature gradient in this section of the dynamic Iheya North Hydrothermal system was estimated to be ~3C/m. The interval transitions sharply from low-temperature marine mud to hydrothermally altered clay.

cdm_data_type = Other
VARIABLES:
Cruise_ID (unitless)
IODP_Sample_Number (unitless)
latitude (degrees_north)
longitude (degrees_east)
Water_depth (meters)
Top_Depth (meters below seafloor)
Bottom_Depth (meters below seafloor)
Sediment_type (unitless)
Estimated_Temp (degrees Celsius)
MGRAST_Accession_ID (unitless)
Notes (unitless)


[16S rRNA gene from RNA] - 16S rRNA gene (from RNA) from samples collected on cruise Chikyu-331 in the Okinawa Trough, Japan from September to October 2010 (An In-Depth analysis of the subvent biosphere within Okinawa Backarc Basin (IODP 331, Iheya North Hydrothermal Field) sediments)

RNA extractions were attempted from sediments at Sites C0014 and C0017 to selectively investigate the active microbial populations at these sites. This study was conducted to supplement the gene-based and metagenomic studies. However, the results from sequenced reverse transcribe 16S rRNA demonstrate the sensitivity of extraction and amplification to external nucleic acids and attest to the challenges in working with low biomass environmental samples. Inconsistencies between primersets and replicates make conclusions about the results of this RNA study extremely tenuous.

cdm_data_type = Other
VARIABLES:
Cruise_ID (unitless)
Sample_Name (unitless)
latitude (degrees_north)
longitude (degrees_east)
Water_depth (meters)
Top_Depth (meters below seafloor)
Bottom_Depth (meters below seafloor)
Sediment_type (unitless)
Estimated_Temp (degrees Celsius)
Nucleic_Acid_amplified (unitless)
Primer_Set_16S_rRNA (Primer Set 16 S R RNA, unitless)
Illumina_dataset (unitless)
Notes (unitless)


[18S rRNA Gene Amplicons from Swab and Tissue Specimens] - GenBank accessions for 18S rRNA gene amplicons from swab and tissue specimens collected in the Caribbean and Réunion (France) from May 2022 to Dec 2024 (Exploring the role of boundary layer microbial remineralization in flavivirus-host dynamics)

Investigating the cause of mass mortality of Diadema antillarum (urn:lsid:marinespecies.org:taxname:124332) identified the etiological agent as the Diadema antillarum Scuticociliatosis Philaster Clade (DaScPc). We sought to investigate the prevalence of this ciliate in sympatric reservoirs in the coral reef environment by targeted PCR using primers designed around this 18S rRNA sequence. We used swab sampling of corals, macroalgae, and other surfaces, as well as urchin tissues, followed by phylogenetic analyses, to identify the presence and diversity of this ciliate. We found that DaScPc could be found primarily in association with the coral Siderastrea siderea, and that changes in its prevalence could be explained by disease state of urchins, macroalgal density, and proximity to disease sites. This dataset contains the GenBank accession, sequencing, and collection metadata for the study.

cdm_data_type = Other
VARIABLES:
Genbank_Accession (unitless)
Sequence_ID (unitless)
Sample_Location (unitless)
Sample_Type (unitless)
Sample_Month (unitless)
latitude (degrees_north)
longitude (degrees_east)


[18S rRNA gene tag sequences from DNA and RNA] - NCBI accession metadata for 18S rRNA gene tag sequences from DNA and RNA from samples collected in coastal California in 2013 and 2014 (Protistan, prokaryotic, and viral processes at the San Pedro Ocean Time-series)

Raw DNA and RNA V4 tag sequences include spatially and temporally distinct samples from coastal California.  Samples were collected in Niskin bottles with a CTD rosette at the San Pedro Ocean Time-series (SPOT) between April of 2013 and January of 2014.  This dataset contains sequence data accession numbers and metadata for the National Center for Biotechnology Information (NCBI) Sequence Read Archive (SRA) database (SRA Study ID: SRP070577, BioProject: PRJNA311248).

cdm_data_type = Other
VARIABLES:
bioproject_accession (unitless)
sample_name (unitless)
SRA_run_ID (unitless)
SRA_run_link (unitless)
library_ID (unitless)
SRA_study_ID (unitless)
SRA_title (unitless)
library_strategy (unitless)
library_source (unitless)
library_selection (unitless)
library_layout (unitless)
platform (unitless)
instrument_model (unitless)
design_description (unitless)
filetype (unitless)
filename (unitless)
filetpe2 (unitless)
filename2 (unitless)
depth2 (Depth, various)
latitude (degrees_north)
longitude (degrees_east)


[2018 Ross Sea Crystal Krill Grazing] - Grazing rates of Euphausia crystallorophias from RVIB Nathaniel B. Palmer NBP1801 in the Ross Sea, Jan.-Feb. 2018 (Using Bio-acoustics on an Autonomous Surveying Platform for the Examination of Phytoplankton-zooplankton and Fish Interactions in the Western Ross Sea)

Four experiments using the gut fluorescence/gut evacuation technique were conducted during the R/V Nathaniel B. Palmer cruise NBP1801 in Jan-Feb 2018 to determine grazing rates of crystal krill, Euphausia crystallorophias.

cdm_data_type = Other
VARIABLES:
Measurement (unitless)
Krill_number (unitless)
Time_Interval_minutes (minutes)
Bucket_number (unitless)
E1_Krill_length_mm (mm = millimeters)
E1_Chlorophyll_a_ug_L (Concentration Of Chlorophyll In Sea Water, ug/L = micrograms per liter)
E1_Phaeopigment_ug_L (ug/L = micrograms per liter)
E2_Krill_length_mm (mm = millimeters)
E2_Chlorophyll_a_ug_L (Concentration Of Chlorophyll In Sea Water, ug/L = micrograms per liter)
E2_Phaeopigment_ug_L (ug/L = micrograms per liter)
E3_Krill_length_mm (mm = millimeters)
E3_Chlorophyll_a_ug_L (Concentration Of Chlorophyll In Sea Water, ug/L = micrograms per liter)
E3_Phaeopigment_ug_L (ug/L = micrograms per liter)
E4_Krill_length_mm (mm = millimeters)
E4_Chlorophyll_a_ug_L (Concentration Of Chlorophyll In Sea Water, ug/L = micrograms per liter)
E4_Phaeopigment_ug_L (ug/L = micrograms per liter)


[2018 Ross Sea Zooplankton Abundance: IKMT] - Zooplankton abundance from Isaacs-Kid Midwater Trawl (IKMT) hauls from RVIB Nathaniel B. Palmer NBP1801 in the Ross Sea, Jan.-Feb. 2018 (Using Bio-acoustics on an Autonomous Surveying Platform for the Examination of Phytoplankton-zooplankton and Fish Interactions in the Western Ross Sea)

Isaacs-Kid Midwater Trawl (IKMT) hauls were conducted during the R/V Nathaniel B. Palmer cruise NBP18-01 in Jan-Feb 2018. These data represent the zooplankton species and abundance analysis resulting from these sample collections. A companion dataset of ring net tow abundances is also available.

cdm_data_type = Other
VARIABLES:
Method (unitless)
Tow_Trawl_number (unitless)
time (ISO Date Time UTC Start, seconds since 1970-01-01T00:00:00Z)
ISO_DateTime_UTC_end (ISO Date Time UTC End, unitless)
latitude (degrees_north)
longitude (degrees_east)
lat_end_decdeg (Latitude, decimal degrees)
lon_end_decdeg (Longitude, decimal degrees)
depth (Net Depth M, m)
Bottom_depth_m (meters)
SST_deg_C (Degrees Celsius)
Flowmeter_start (unitless)
Flowmeter_end (unitless)
Volume_m3 (cubic meters)
Euphausiids_Euphausia_crystallorophias (number/meter^3)
Ecrystallorophias_small_juveniles (number/meter^3)
Euphausia_superba (number/meter^3)
Thysanoessa_macrura (number/meter^3)
Amphipods_Vibilia_stebbingi (number/meter^3)
Primno_macropa (number/meter^3)
Themisto_gaudichaudii (number/meter^3)
Hyperoche_sp (number/meter^3)
Eusirus_sp (number/meter^3)
Chaetognaths_Pseudosagitta (number/meter^3)
... (10 more variables)


[2018 Ross Sea Zooplankton Abundance: Ring net] - Zooplankton abundance from ring net tows from RVIB Nathaniel B. Palmer NBP1801 in the Ross Sea, January 2018 (Using Bio-acoustics on an Autonomous Surveying Platform for the Examination of Phytoplankton-zooplankton and Fish Interactions in the Western Ross Sea)

Net tows were conducted during the R/V Nathaniel B. Palmer cruise NBP18-01 in January 2018. These data represent the zooplankton species and abundance analysis resulting from these sample collections. A companion dataset of mid-water trawls abundances is also available.

cdm_data_type = Other
VARIABLES:
Method (unitless)
Tow_Trawl_number (unitless)
time (ISO Date Time UTC Start, seconds since 1970-01-01T00:00:00Z)
ISO_DateTime_UTC_end (ISO Date Time UTC End, unitless)
latitude (degrees_north)
longitude (degrees_east)
lat_end_decdeg (Latitude, decimal degrees)
lon_end_decdeg (Longitude, decimal degrees)
depth (Net Depth M, m)
Bottom_depth_m (meters)
SST_deg_C (Degrees Celsius)
Flowmeter_start (unitless)
Flowmeter_end (Flowmeter  End, unitless)
Volume_m3 (cubic meters)
Copepods_Calanoides_acutus (number/meter^3)
C_acutus_CIII_to_V (number/meter^3)
Metridia_gerlachei (number/meter^3)
Oithona_similis (number/meter^3)
Calanus_simillimus (number/meter^3)
Paraeuchaeta_antarctica (number/meter^3)
Oncaea_sp (number/meter^3)
Gaidius_tenuispinus (number/meter^3)
Heterorhabdus_sp (number/meter^3)
Unspecified_Nauplii (number/meter^3)
Euphausiids_Euphausia_crystallorophias (number/meter^3)
... (19 more variables)


[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.

cdm_data_type = Other
VARIABLES:
Cruise_ID (unitless)
Station_ID (unitless)
Start_Date_UTC (unitless)
latitude (Start_latitude, degrees_north)
longitude (Start_longitude, degrees_east)
Sample_ID (unitless)
depth (Sample_depth, m)
Fe_56_54_D_DELTA_BOTTLE (per mil (‰))
SD1_Fe_56_54_D_DELTA_BOTTLE (per mil (‰))
Flag_Fe_56_54_D_DELTA_BOTTLE (unitless)
Fe_D_CONC_BOTTLE (nanomoles per kilogram (nmol/kg))
SD1_Fe_D_CONC_BOTTLE (nanomoles per kilogram (nmol/kg))
Flag_Fe_D_CONC_BOTTLE (unitless)
Fe_56_54_D_DELTA_BOAT_PUMP (per mil (‰))
SD1_Fe_56_54_D_DELTA_BOAT_PUMP (per mil (‰))
Flag_Fe_56_54_D_DELTA_BOAT_PUMP (unitless)
Fe_D_CONC_BOAT_PUMP (nanomoles per kilogram (nmol/kg))
SD1_Fe_D_CONC_BOAT_PUMP (nanomoles per kilogram (nmol/kg))
Flag_Fe_D_CONC_BOAT_PUMP (unitless)


[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).

cdm_data_type = Other
VARIABLES:
CRUISE (unitless)
PROJECT_CRUISE (unitless)
CRUISE_NAME (unitless)
Station (unitless)
SAMPLE_ID (unitless)
time (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)
DATE_GMT (unitless)
GMT (unitless)
latitude (degrees_north)
longitude (degrees_east)
PLATFORM (unitless)
PRESSURE (decibar (db))
depth (m)
Ni_D_CONC (nanomoles per liter (nM))
Ni_D_STDEV (nanomoles per liter (nM))
Ni_D_FLAG (unitless)
Ni_DL_CONC (nanomoles per liter (nM))
Ni_DL_STDEV (nanomoles per liter (nM))
Ni_DL_FLAG (unitless)
Ni_S_CONC (nanomoles per liter (nM))
Ni_S_STDEV (nanomoles per liter (nM))
Ni_S_FLAG (unitless)


[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.

cdm_data_type = Other
VARIABLES:
CRUISE (unitless)
STATION (unitless)
UNIQUE_CAST_ID (unitless)
SAMPLE_ID (unitless)
TMP (unitless)
DEPTH (meters (m))
STATION_TYPE (unitless)
DATE (unitless)
latitude (degrees_north)
longitude (degrees_east)
AL27_TPL_CONC_BOTTLE (nanomolar (nM))
AL27_TPL_FLAG_BOTTLE (unitless)
P31_TPL_CONC_BOTTLE (nanomolar (nM))
P31_TPL_FLAG_BOTTLE (unitless)
TI47_TPL_CONC_BOTTLE (nanomolar (nM))
TI47_TPL_FLAG_BOTTLE (unitless)
V51_TPL_CONC_BOTTLE (nanomolar (nM))
V51_TPL_FLAG_BOTTLE (unitless)
MN55_TPL_CONC_BOTTLE (nanomolar (nM))
... (47 more variables)


[2022 BDA Benthics] - Benthic sampling survey data from Harrington Sound and Flatts Inlet, Bermuda in October of 2022 (Breaking ground with underwater sound - unraveling elusive predator-prey interactions in marine benthic communities using novel technological approaches)

To acquire a current understanding of the potential benthic prey community to durophagous predators we sampled the abundance and distribution of the benthos of Harrington Sound and Flatts Inlet, Bermuda. This was done using hand-based excavation surveys, which were conducted by divers on SCUBA at historic and new sampling locations in the region. Data were collected by the project team in October 2022.

cdm_data_type = Other
VARIABLES:
Site_Name (unitless)
Date (unitless)
Time_In_ADT (unitless)
Time_Out_ADT (unitless)
latitude (degrees_north)
longitude (degrees_east)
Excavation_ID (unitless)
Dist_Along_Transect_m (meters (m))
Species_Name (unitless)
Common_Name (unitless)
Length_mm (millimeter (mm))
Height_mm (millimeter (mm))
Depth_mm (millimeter (mm))
Aperture_mm (millimeter (mm))
Siphon_Channel_Aperture_mm (millimeter (mm))
depth_f (Depth_ft, feet (ft))
time (Iso_datetime_utc_in, seconds since 1970-01-01T00:00:00Z)
ISO_DateTime_UTC_Out (seconds since 1970-01-01T00:00:00Z)


[2023 Bottom Temperature Data] - Water temperature data from temperature loggers attached to larval settlement collectors placed on the seafloor in the Gulf of Maine from from June to September 2023 (Lobster Thermal Thresholds project) (RUI: Collaborative Research: Linking physiological thermal thresholds to the distribution of lobster settlers and juveniles)

We used the American lobster (Homarus americanus lsid:marinespecies.org:taxname:156134) in the Gulf of Maine as a model system to define thermal tolerance in larvae and establish mechanistic linkages between thermal tolerance of the individual larva and the patterns of settlement in the field. We assessed and compared the thermal tolerances of larvae in the laboratory and to link to patterns in the field we measured larval settlement as a function of depth (and therefore temperatures) and deployed caged larvae at different depths (and therefore temperatures).  This dataset reports the bottom temperature data from temperature loggers attached to larval settlement collectors placed on the bottom from early June to late September in 2023.  Collectors were deployed in coastal waters in the vicinity of Boothbay Harbor, Maine, USA at depths ranging from 7 to 77 meters. Bigelow Laboratory for Ocean Sciences were the base for field operations which were led by Eric Annis and Douglas Rasher.

cdm_data_type = Other
VARIABLES:
time (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)
Ch1_Temperature (degrees C)
Collector_ID (unitless)
Temperature_Logger_ID (unitless)
latitude (degrees_north)
longitude (degrees_east)
Datetime_deployed_UTC (unitless)
Date_Retrieved_UTC (unitless)
depth (m)
Source_File (unitless)


[2024 St John octocoral abundances] - Octocoral colony heights measured during transect surveys at six sites on the south shore of St. John, US Virgin Islands during July and August of 2024 (Collaborative Research: Pattern and process in the abundance and recruitment of Caribbean octocorals)

This dataset contains octocoral colony heights along with measures of damage and notes on the presence of epibionts found in 1m2  quadrats that were surveyed at 6 sites on the south shore of St John, Virgin Islands, within the Virgin Islands National Park during July and August 2024 measured during transect surveys at four sites on the south shore of St. John, US Virgin Islands in 2024.

cdm_data_type = Other
VARIABLES:
line (unitless)
Census_Year (unitless)
Date (unitless)
Site (unitless)
latitude (degrees_north)
longitude (degrees_east)
Transect_Position (unitless)
Meter_on_transect (unitless)
Side_of_transect (unitless)
Meter_Side (unitless)
Quadrat (unitless)
Genus (unitless)
Field_Species_Code (unitless)
Revised_Species_Code (unitless)
Revised_species (unitless)
Maximum_height_from_base (centimeters (cm))
Height_of_living_tissue (centimeters (cm))
Basal_damage (centimeters (cm))
Colony_damage_score (unitless)
Number_of_Cyphoma (unitless)
Comments_1 (unitless)
Comments_2_sample_tag_num (unitless)
Lowest_Taxon_for_Revised_Species (unitless)
Lowest_Taxon_LSID_for_Revised_Species (unitless)
Genus_LSID (unitless)


[234Th Flux] - 234Th flux in epipelagic waters at Station ALOHA and the Equatorial Pacific from R/V Kilo Moana cruises KM1407, KM1418, & KM1515 during 2014-2015 (Evaluating the relative importance of suspended and sinking particles to the meso and bathypelagic food web in the central North Pacific)

234Th flux in epipelagic waters at Station ALOHA and the Equatorial Pacific from R/V Kilo Moana cruises KM1407, KM1418, & KM1515 during 2014-2015.

cdm_data_type = Other
VARIABLES:
Cruise (unitless)
Date_initial (unitless)
Date_final (unitless)
Site (unitless)
latitude (degrees_north)
longitude (degrees_east)
Season (unitless)
depth (m)
Th_flux (dpm m-2 d-1)
Th_flux_error (dpm m-2 d-1)


[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

cdm_data_type = Other
VARIABLES:
Cruise (cruise during which sample was collected\)
time (ISO Date Time UTC, seconds since 1970-01-01T00:00:00Z)
Event (Event number from R2R event log)
Activity (which instrument was used for sample collection)
Station (station identifier)
Cast (CTD or TM cast number)
latitude (degrees_north)
longitude (degrees_east)
Target_Depth (meters (m))
Actual_Depth (meters (m))
Light_Level (unitless (percent))
Phosphate (millimoles per cubic meter (mmol m^3))
Phosphate_Flag (unitless)
Silicate (millimoles per cubic meter (mmol m^3))
Silicate_Flag (unitless)
Nitrite (millimoles per cubic meter (mmol m^3))
Nitrite_Flag (unitless)
Nitrate_and_Nitrite (millimoles per cubic meter (mmol m^3))
Nitrate_and_Nitrite_Flag (unitless)
Blank_Corrected_POC (milligrams per cubic meter (mg m^3))
POC_Flag (unitless)
Blank_Corrected_PON (milligrams per cubic meter (mg m^3))
PON_Flag (unitless)
chl_a_0_6um_to_5um (micrograms per cubic meter (ug m^3))
chl_a_gt_5um (micrograms per cubic meter (ug m^3))
bSi_0_6um_to_5um (nanomoles Si per liter (nmol Si L^1))
bSi_gt_5um (nanomoles Si per liter (nmol Si L^1))
... (4 more variables)


[32Si Profiles - from RR1813] - 32Si data from EXPORTS cruise RR1813 on R/V Roger Revelle in the Subarctic North Pacific near Station PAPA from August to September 2018 (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 depth profiles in the euphotic zone of nutrient (nitrate, silicate, phosphate) concentrations and profiles of silicic acid uptake rates from EXPORTS cruise RR1813. \r\n\r\nThe EXPORTS field campaign in the subarctic North Pacific sampled an ecosystem characterized as high nutrient low chlorophyll (HNLC) due to low iron (Fe) levels that are primary controllers constraining phytoplankton utilization of other nutrients. It has been a paradigm in low Fe, HNLC systems that diatoms grow at elevated Si:C and Si:N ratios and should be efficiently exported as particles significantly enriched in Si relative to C. However, Fe limitation also alters diatoms species composition and the high Si demand imposed by low Fe can drive HNLC regions to Si limitation or Si/Fe co-limitation. Thus, the degree of Si and/or Fe stress in HNLC waters can all alter diatom taxonomic composition, the elemental composition of diatom cells, and the path cells follow through the food web ultimately altering diatom carbon export.\r\n\r\nWithin each ecosystem state examined in the EXPORTS program, nutrient biogeochemistry, diatom and phytoplankton community structure, and global diatom gene expression patterns (metatranscriptomics) are characterized in the lit ocean. Nutrient amendment experiments with tracer addition (14C, 32Si) are used to quantify the level of Si 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.

cdm_data_type = Other
VARIABLES:
Cruise (unitless)
Date_Zulu (unitless)
Time_Zulu (unitless)
Event_num (unitless)
Activity (unitless)
Station (unitless)
Cast (unitless)
latitude (degrees_north)
longitude (degrees_east)
Rosette_Bottle (unitless)
depth (Target Depth, m)
... (16 more variables)


[5 generation increasing temperature experiment data] - Cyprinodon variegatus offspring growth rate from 5 generation increasing temperature experiments conducted on Atlantic wild caught specimens during 2014. (Beyond maternal effects: Transgenerational plasticity in thermal performance)

Cyprinodon variegatus offspring growth rate from 5 generation increasing temperature experiments conducted on Atlantic wild caught specimens during 2014.

cdm_data_type = Other
VARIABLES:
Generation (unitless)
P_Temp (degree Celsius)
F1_Temp (degree Celsius)
F2_Temp (degree Celsius)
F3_Temp (degree Celsius)
F4_Temp (degree Celsius)
F5_Temp (degree Celsius)
T_Day (unitless)
Sex (unitless)
WK2 (centimeters)
GR_8WK (GR 8 WK, centimeters per week)
AgeMaturation (Age Maturation, count)


[57Fe Wall Loss Experiment] - 57Fe Wall Loss Experiment data collected as part of a method development study investigating the precipitation and wall loss of labeled 57Fe when added to M9 Minimal Media (EAGER: Iron-Virus Interactions in the Ocean)

This data was collected as part of a method development study investigating the precipitation and wall loss of labeled \u2075\u2077Fe when added to M9 Minimal Media, which is used to grow the model bacterial species Escherichia coli. The bulk media was prepared with the same components and a portion was treated with Chelex-100 to remove metals, while the other portion remained un-chelexed. Half of each treatment was spiked with labeled \u2075\u2077Fe and either 0.2 \u03bcm or 0.02 \u03bcm filtered for comparison of the dissolved and soluble fractions. The \u2075\u2077Fe content was monitored over four time points for one week in a shaking incubator, under the same conditions used to culture E. coli for labeling experiments.

cdm_data_type = Other
VARIABLES:
DATE (unitless)
SAMPLE_ID (unitless)
DESCRIPTION (unitless)
CHELEX (unitless)
Fe57_SPIKE (micromolar (uM))
FILTER_SIZE (micrometers (um))
DAY (days)
Fe56 (nanomolar (nM))
Fe57 (nanomolar (nM))
Fe57_to_Fe56 (unitless (percentage))
NOTES (unitless)


[[DEPRECATED] AT37-13 Hard Substrata Sampling Locations] - [DEPRECATED] Locations of hard substrata collected during R/V Atlantis cruise AT37-13 in the Pacific Ocean off Costa Rica from May to June 2017 (Collaborative research: Quantifying the biological, chemical, and physical linkages between chemosynthetic communities and the surrounding deep sea)

Locations of hard substrata collected during R/V Atlantis cruise AT37-13 in the Pacific Ocean off Costa Rica from May to June 2017

cdm_data_type = Other
VARIABLES:
sample (unitless)
dive_samplenumber (unitless)
latitude (degrees_north)
longitude (degrees_east)
site (unitless)
cruise (unitless)


[[DEPRECATED] AT37-13 Push Core Sampling Locations] - [DEPRECATED] Locations of sediment push cores collected during R/V Atlantis cruise AT37-13 in the Pacific Ocean off Costa Rica from May to June 2017 (Collaborative research: Quantifying the biological, chemical, and physical linkages between chemosynthetic communities and the surrounding deep sea)

Locations of sediment push cores collected during R/V Atlantis cruise AT37-13 in the Pacific Ocean off Costa Rica from May to June 2017

cdm_data_type = Other
VARIABLES:
sample (unitless)
dive_samplenumber (unitless)
latitude (degrees_north)
longitude (degrees_east)
site (unitless)
cruise (unitless)


[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.

cdm_data_type = Other
VARIABLES:
Label (unitless)
Timepoint (hours)
Treatment (unitless)
Replicate (unitless)
Chl_gt_5um (micrograms per liter (ug/L))
Chl_gt_0pt7um (micrograms per liter (ug/L))
NO3 (micromolar (uM))
PO4 (micromolar (uM))
SiO2 (micromolar (uM))
dissolved_Fe (nanomoles per kilogram (nmol/kg))
dissolved_Sc (picomoles per kilogram (pmol/kg))
dissolved_Sc_flag (unitless)


[A. pisonii: behavior] - Proportion of time the mangrove tree crab Aratus pisonii spent in different behaviors related to diet and energy storage (Cannizzo et al, (2018) Ecol & Evol.) (Linking Variation in Metabolic Processes as a Key to Prediction)

This dataset includes behavioral observations of individual mangrove tree crabs, Aratus pisonii: the proportion of time spent sitting, moving, feeding, or not visible. Size and sex of the crabs, water temperature, and tidal period of the observations were also recorded. Crabs were collected near Fort Pierce, Florida from a dock area and released into one of three habitats: mangrove, saltmarsh or under the dock.

cdm_data_type = Other
VARIABLES:
Year (unitless)
ID (unitless)
Habitat (unitless)
ISO_Date (unitless)
Site (unitless)
Crab (unitless)
CW (millimeters (mm))
Sex (unitless)
Tide (Sea Surface Height, unitless)
Temp (Temperature, degrees Celsius)
totduration (minutes)
Sitting (unitless)
Moving (unitless)
Feeding (unitless)
Invisible (unitless)


[A. pisonii: clutch size] - Clutch size of the mangrove tree crab A. pisonii from three habitats: mangrove, saltmarsh and mangrove (Linking Variation in Metabolic Processes as a Key to Prediction)

This dataset includes clutch size of the mangrove tree crab A. pisonii from three habitats: mangrove, saltmarsh and mangrove.

cdm_data_type = Other
VARIABLES:
ID (unitless)
ISO_Date (unitless)
Habitat (unitless)
Site (unitless)
CW (millimeters (mm))
GW (millimeters (mm))
GW_CW (unitless)
FB_WB (grams)
FB_Wet (grams)
FB_Dry (grams)
Full_Brood (grams)
Sub_WB (grams)
Sub_Dry (grams)
Sub (grams)
Count (eggs)
Egg_Weight (grams)
Fecund (eggs)
Log_Fec (unitless)
Log_CW (unitless)
Log_Fec_Log_CW (unitless)
Fec_CW (unitless)


[A. pisonii: dissections] - Physiological parameters derived from dissection of mangrove crabs, A. pisonii, from three habitats along Florida's east coast in 2015 and 2016 (Linking Variation in Metabolic Processes as a Key to Prediction)

This dataset includes multiple physiological parameters derived from dissection of mangrove tree crabs, A. pisonii, from three habitats: mangrove, saltmarsh and mangrove.

cdm_data_type = Other
VARIABLES:
Habitat (unitless)
ID (unitless)
Site (unitless)
Year (unitless)
ISO_Date (unitless)
Tide (Sea Surface Height, unitless)
Sex (unitless)
Gravid (unitless)
CW (mm)
GW (mm)
GV (mm3)
GW_CW (unitless)
S_WB (grams)
S_Dry (grams)
S (grams)
F_WB (grams)
F_Dry (grams)
F (grams)
G_WB (grams)
G_Dry (grams)
G (grams)
H_WB (grams)
H_Dry (grams)
H (grams)
GT_WB (grams)
GT_Dry (grams)
... (7 more variables)


[A. pisonii: dock-marsh thermal] - Thermal readings from under a dock and in a nearby salt marsh (Cannizzo et al, (2018) Ecol & Evol.) (Linking Variation in Metabolic Processes as a Key to Prediction)

This dataset includes temperature readings from under a dock and in a nearby salt marsh near Fort Pierce, Florida for a study of mangrove tree crabs, Aratus pisonii.

cdm_data_type = Other
VARIABLES:
Location (unitless)
Date (unitless)
time2 (Time, unitless)
ISO_DateTime_Local (ISO Date Time Local, degrees Celsius)
Temp (Temperature, Temp)


[A. pisonii: egg energy] - Energy content of mangrove crab, A. pisonii, eggs from three habitats along the Florida eastern coast, 2016 (Linking Variation in Metabolic Processes as a Key to Prediction)

This dataset includes calculations of the energy content of eggs of mangrove tree crabs, A. pisonii, from three habitats: mangrove, saltmarsh and mangrove collected along the eastern Florida coast in 2016.

cdm_data_type = Other
VARIABLES:
ID (unitless)
ISO_Date (unitless)
Habitat (unitless)
Site (unitless)
CW (millimeters (mm))
GW (millimeters (mm))
GW_CW (unitless)
Egg_Stage (unitless)
Sample (unitless)
Pellet_W (grams)
Bomb (unitless)
Dish_Pre (grams)
Dish_Post (grams)
Temp_rise (degrees Celcius)
Fuse (unitless)
Corr_W (grams)
BombW (Bomb W, unitless)
E_Wcorr_kJ (E Wcorr K J, kiloJoules/gram (kJ/g))


[A. pisonii: egg fatty acids] - Fatty acid concentration extracted from A. pisonii eggs from three habitats along the Florida eastern coast, 2016 (Linking Variation in Metabolic Processes as a Key to Prediction)

This dataset includes concentrations of fatty acids from eggs of mangrove tree crabs, A. pisonii, from three habitats: mangrove, saltmarsh and mangrove collected along the eastern Florida coast in 2016.

cdm_data_type = Other
VARIABLES:
Sample (unitless)
Habitat (unitless)
Site (unitless)
Year (unitless)
Month (unitless)
CW (millimeters)
GW_CW (unitless)
Egg_ug (micrograms)
C14_0 (micrograms)
C14_1 (micrograms)
C15_0 (micrograms)
C15_1 (micrograms)
C16_0 (micrograms)
C16_1 (micrograms)
C17_0 (micrograms)
C17_1 (micrograms)
C18_0 (micrograms)
C18_1n9 (micrograms)
cLA (C LA, micrograms)
tLA (T LA, micrograms)
GLA (micrograms)
ALA (micrograms)
C20_0 (micrograms)
C20_1n9 (micrograms)
EicoA (Eico A, micrograms)
... (37 more variables)


[A. pisonii: egg lipid and glycogen] - Lipid and glycogen content of A. pisonii eggs from three habitats along the Florida eastern coast, 2016 (Linking Variation in Metabolic Processes as a Key to Prediction)

This dataset includes calculations of the lipid and glycogen content of eggs of mangrove tree crabs, A. pisonii, from three habitats: mangrove, saltmarsh and mangrove collected along the eastern Florida coast in 2016.

cdm_data_type = Other
VARIABLES:
Habitat (unitless)
Site (unitless)
ISO_Date (unitless)
ID (unitless)
CW (millimeters (mm))
GW (millimeters (mm))
GW_CW (unitless)
Egg_W (grams)
F_Vial (grams)
Vial_Lipid (grams)
Lipid (grams)
Lipid_wt (unitless)
Lipid_pct (unitless)
Glycogen_W (milligrams)
Glycogen_Conc (unitless)
Glycogen_pct (unitless)


[A. pisonii: sun-shade] - Proportion of time that mangrove tree crab Aratus pisonii spent in sun and shade in three habitats, 2015-2016. Cannizzo et al, (2018) Ecol & Evol. (Linking Variation in Metabolic Processes as a Key to Prediction)

This dataset includes the proportion of time the mangrove crab, A. pisonii, spent in sun and shade in a mangrove, under a dock, and in a nearby salt marsh for a study of Aratus pisonii behavior. These data are presented in Cannizzo et al, (2018) Ecol & Evol.

cdm_data_type = Other
VARIABLES:
Year (unitless)
Habitat (unitless)
Site (unitless)
ISO_Date (unitless)
ID (unitless)
totduration (minutes)
Shade (unitless)
Sun (unitless)
Invisible (unitless)


[A. pisonii: thermal picture] - Thermal condition of A. pisonii in three habitats: under dock, mangroves, saltmarsh (Linking Variation in Metabolic Processes as a Key to Prediction)

This dataset includes the crab body and air temperature readings from a
mangrove, under a dock, and in a nearby salt marsh for a study of mangrove
tree crabs, Aratus pisonii. Also reported are the proportion of time the crabs
spent in the sun, relative solar exposure\u00a0of each crab, and associated
parameters.

cdm_data_type = Other
VARIABLES:
Habitat (unitless)
Year (unitless)
ID (unitless)
time (ISO Date, seconds since 1970-01-01T00:00:00Z)
Site (unitless)
CW (millimeters (mm))
Sex (unitless)
Prop_Water (unitless)
Avg_Crab_Temp (degrees Celsius)
Temp_Day (degrees Celsius)
Sun_Prop (unitless)
Temp_Diff (degrees Celsius)
Solar (W/m2)
time2 (Time, minutes)
Time_S (seconds)
Solar_Time (watts*seconds/square meter [(W*s)/m2])


[AA-CSIA Olson] - Amino acid compound-specific isotope analysis (AA-CSIA) of tissue samples from four distinct trophic groups across the food web in the pelagic eastern tropical Pacific Ocean; samples collected on NOAA cruises from July to December 2006 (CAMEO 2009 - A novel tool for validating trophic position estimates in ecosystem-based fisheries models)

Amino acid compound-specific isotope analysis (AA-CSIA) of tissue samples from four distinct trophic groups across the food web in the pelagic eastern tropical Pacific Ocean; samples collected on NOAA cruises from July to December 2006.

cdm_data_type = Other
VARIABLES:
species (unitless)
sample_number (unitless)
date_analyzed (unitless)
Alanine_Avg (parts per thousand (per mil, ‰))
Alanine_SD (parts per thousand (per mil, ‰))
Glycine_Avg (parts per thousand (per mil, ‰))
Glycine_SD (parts per thousand (per mil, ‰))
Threonine_Avg (parts per thousand (per mil, ‰))
Threonine_SD (parts per thousand (per mil, ‰))
Serine_Avg (parts per thousand (per mil, ‰))
Serine_SD (parts per thousand (per mil, ‰))
Valine_Avg (parts per thousand (per mil, ‰))
Valine_SD (parts per thousand (per mil, ‰))
Leucine_Avg (parts per thousand (per mil, ‰))
Leucine_SD (parts per thousand (per mil, ‰))
Isoleucine_Avg (parts per thousand (per mil, ‰))
Isoleucine_SD (parts per thousand (per mil, ‰))
Proline_Avg (parts per thousand (per mil, ‰))
Proline_SD (parts per thousand (per mil, ‰))
AsparticAcid_Avg (Aspartic Acid Avg, parts per thousand (per mil, ‰))
AsparticAcid_SD (Aspartic Acid SD, parts per thousand (per mil, ‰))
Methionine_Avg (parts per thousand (per mil, ‰))
Methionine_SD (parts per thousand (per mil, ‰))
GlutamicAcid_Avg (Glutamic Acid Avg, parts per thousand (per mil, ‰))
GlutamicAcid_SD (Glutamic Acid SD, parts per thousand (per mil, ‰))
... (10 more variables)


[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.

Each 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.

cdm_data_type = Other
VARIABLES:
ARM_Num (unitless)
Year (unitless)
No_ARMs (unitless)
SpeciesID (unitless)
CommonName (unitless)
ScientificName (unitless)
Size (millimeters (mm))
LT_21 (unitless)
LT_51 (unitless)
GT_50 (unitless)
latitude (degrees_north)
longitude (degrees_east)


[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.

cdm_data_type = Other
VARIABLES:
date (unitless)
Site (unitless)
Bouy (unitless)
divers (unitless)
BART_transect (unitless)
number (unitless)
depth_f (Depth, feet (ft))
camera (unitless)
lat (degrees_north)
longitude (Long, degrees_east)
Organism_Identification (unitless)
Taxonomic_name (unitless)
Species_note (unitless)
individual_num (unitless)
size_mm (millimeters (mm))
size_mm_note (unitless)


[Abiotic data] - Physical environmental data from Little Lagoon, Alabama collected from 2012-2013. (Groundwater Discharge, Benthic Coupling and Microalgal Community Structure in a Shallow Coastal Lagoon)

Physical environmental data from Little Lagoon, Alabama collected from 2012-2013.

cdm_data_type = Other
VARIABLES:
Year (unitless)
Date (unitless)
avg_sediment_chla (Concentration Of Chlorophyll In Sea Water, miligrams per m-2)
avg_sediment_chla_SE (Concentration Of Chlorophyll In Sea Water, miligrams per m-2)
avg_waterColumn_chla (Concentration Of Chlorophyll In Sea Water, ug L-1)
avg_waterColumn_chla_SE (Concentration Of Chlorophyll In Sea Water, ug L-1)
avg_temperature (Celsius)
avg_temperature_SE (Celsius)
avg_salinity (Sea Water Practical Salinity, PSU)
avg_salinity_SE (Sea Water Practical Salinity, PSU)
avg_waterColumn_Nox (Avg Water Column Nox, micromoles)
avg_waterColumn_Nox_SE (Avg Water Column Nox SE, micromoles)
avg_waterColumn_NH4 (Mole Concentration Of Ammonium In Sea Water, micromoles)
avg_waterColumn_NH4_SE (Mole Concentration Of Ammonium In Sea Water, micromoles)
avg_waterColumn_PO4 (Mass Concentration Of Phosphate In Sea Water, micromoles)
avg_waterColumn_PO4_SE (Mass Concentration Of Phosphate In Sea Water, micromoles)
Mouth_Temperature (Celsius)
East_Temperature (Celsius)
West_Temperature (Celsius)
Mouth_Salinity (Sea Water Practical Salinity, PSU)
East_Salinity (Sea Water Practical Salinity, PSU)
West_Salinity (Sea Water Practical Salinity, PSU)
Mouth_sediment_chla (Concentration Of Chlorophyll In Sea Water, miligrams per m-2)
Mouth_sediment_chla_SE (Concentration Of Chlorophyll In Sea Water, miligrams per m-3)
East_sediment_chla (Concentration Of Chlorophyll In Sea Water, miligrams per m-2)
East_sediment_chla_SE (Concentration Of Chlorophyll In Sea Water, miligrams per m-3)
West_sediment_chla (Concentration Of Chlorophyll In Sea Water, miligrams per m-2)
... (19 more variables)


[ABLE Subsurface 2016-18] - Subsurface data from ABLE deployments in the upwelling region of the west coast of northern California from 2016-2018 (Collaborative Research: Field test of larval behavior on transport and connectivity in an upwelling regime)

Subsurface instrument data for each ABLE unit during each deployment, including environmental data records and logs of instrument actions such as pump strokes for changing buoyancy. ABLE instruments were deployed in the upwelling region of the west coast of northern California from 2016-2018.

cdm_data_type = Other
VARIABLES:
Deployment (unitless)
name (unitless)
Migration_model (unitless)
Migration_depth_1 (meters)
Migration_depth_2 (meters)
CUMSECS (seconds)
time (Date UTC, seconds since 1970-01-01T00:00:00Z)
Date_Local (unitless)
depth (m)
Target_Z (meters)
Z_Bot (meters)
Temp (Temperature, degrees Celsius)
PAR (Downwelling Photosynthetic Photon Radiance In Sea Water, moles per square meter per second (mol m?2 s?1))
Salin (practical salinity units)
Ang_VelX (Ang Vel X, ?)
Ang_VelY (Ang Vel Y, ?)
Ang_VelZ (Ang Vel Z, ?)
Pump_plus (unitless)
Pump_minus (unitless)
Gnd_switch_count (unitless)
fix_interval (hours)
aspe (meters per second (m/s))
xspe (meters per second (m/s))
spe (meters per second (m/s))
dir (degrees)
QA_flag (unitless)


[ABLE Surface 2016-18] - Surface data from ABLE deployments in the upwelling region of the west coast of northern California from 2016-2018 (Collaborative Research: Field test of larval behavior on transport and connectivity in an upwelling regime)

Surface data from ABLE deployments in the upwelling region of the west coast of northern California from 2016-2018: GPS position locations for each ABLE unit during each deployment and other spatial data, as well as common fields describing the ABLE unit, deployment, and other identifiers for that data subset.

cdm_data_type = Other
VARIABLES:
Deployment (unitless)
name (unitless)
Migration_model (unitless)
depth (Migration Depth 1, m)
Migration_depth_2 (meters)
Fix_secs (seconds)
time (Date UTC, seconds since 1970-01-01T00:00:00Z)
Date_Local (unitless)
latitude (degrees_north)
longitude (degrees_east)
DOP (unitless)
Temp (Temperature, degrees Celsius)
PAR (Downwelling Photosynthetic Photon Radiance In Sea Water, moles per square meter per second (mol m?2 s?1))
Salin (practical salinity units)
Batt_V (volts)
Report_no (unitless)
fix_interval (hours)
aspe (meters per second (m/s))
xspe (meters per second (m/s))
spe (meters per second (m/s))
dir (degrees)
elapsed_time (hours)
d_pos_norm (meters per hour (m/h))
d_drop_norm (meters per hour (m/h))
... (8 more variables)


[ABLE] - Autonomous Behaving Lagrangian Explorer (ABLE) output for 5 taxonomic groups examined from the R/V Cape Horn in the upwelling region of the west coast of California, USA in August 2015 (Collaborative Research: Field test of larval behavior on transport and connectivity in an upwelling regime)

Autonomous Behaving Lagrangian Explorer (ABLE) output for 5 taxonomic groups (Cyprid, Melibe, Pluteus, Pteropod, and Velella) from the R/V Cape Horn in the upwelling region of the west coast of California, USA in August 2015.

cdm_data_type = Other
VARIABLES:
taxon (unitless)
cumulative_secs (seconds)
date_utc (unitless)
time_utc (unitless)
Z (meters (m))
Z_flag (unitless)
target_Z (meters (m))
Z_bot (meters (m))
temp (Temperature, degrees Centigrade (C))
temp_flag (unitless)
PAR (Downwelling Photosynthetic Photon Radiance In Sea Water, moles per square meter per second (mol m-2 s-1))
PAR_flag (unitless)
sal (practical salinity scale (PSU))
sal_flag (unitless)
ang_vel_X (unitless (raw counts from the gyro))
ang_vel_Y (unitless (raw counts from the gyro))
ang_vel_Z (unitless (raw counts from the gyro))
pump_down (unitless)
pump_up (unitless)
latitude (degrees_north)
longitude (degrees_east)
DOP (unitless)
batt_V (volts)
time (ISO Date Time UTC, seconds since 1970-01-01T00:00:00Z)


[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.

cdm_data_type = Other
VARIABLES:
Cruise_number (unitless)
sample_code (unitless)
Sample (unitless)
Station (unitless)
Station_Latitude (degrees_north)
longitude (Station_longitude, degrees_east)
local_date (unitless)
Type_of_organism (unitless)
species (unitless)
number (unitless)
Total_Length_cm (centimeters (cm))
Standard_Length_cm (centimeters (cm))
PreAnal_Fin_Length_cm (centimeters (cm))
Carapace_Length_mm (millimeters (mm))
Mass_g (grams (g))
sex (unitless)
Tissue_fin_clip (unitless)
Tissue_whole_body (unitless)
Tissue_white_muscle (unitless)
Tissue_gut_removed (unitless)
... (9 more variables)


[Acanthaster behavioral observation data] - Behavioral observation data of tagged and untagged Acanthaster in Viti Levu, Fiji from 2010-2012 (Killer Seaweeds: Allelopathy against Fijian Corals)

Behavioral observation data of tagged and untagged Acanthaster in Viti Levu, Fiji from 2010-2012

cdm_data_type = Other
VARIABLES:
acanthaster_ID (unitless)
tagging_status (unitless)
righting_time_trial1 (seconds)
righting_time_trial2 (seconds)
righting_time_trial3 (seconds)
mean_righting_time (seconds)
righting_trial_date (unitless)
date_coral_offered (unitless)
coral_eaten (unitless)
date_coral_eaten (unitless)


[Acanthaster movement distance and direction] - Movement distance and direction data of tagged Acanthaster in Viti Levu, Fiji from 2010-2012. (Killer Seaweeds: Allelopathy against Fijian Corals)

Movement distance and direction data of tagged Acanthaster in Viti Levu, Fiji from 2010-2012.

cdm_data_type = Other
VARIABLES:
village (unitless)
border (unitless)
acanthaster_origin (unitless)
acanthaster_ID (unitless)
consecutive_days (days)
total_displacement (meters)
mean_displacement (meters)
initial_movement_angle (degrees)
initial_movement_direction (unitless)
final_movement_angle (degrees)
final_movement_direction (unitless)


[Acanthaster tagging locations] - GPS location coordinates of Acanthaster individuals used in a tagging study in Viti Levu, Fiji from 2010-2012 (Killer Seaweeds: Allelopathy against Fijian Corals)

GPS location coordinates of Acanthaster individuals used in a tagging study in Viti Levu, Fiji from 2010-2012

cdm_data_type = Other
VARIABLES:
village (unitless)
border (unitless)
acanthaster_ID (unitless)
date (unitless)
latitude (degrees_north)
longitude (degrees_east)


[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.

cdm_data_type = Other
VARIABLES:
species (unitless)
acclimation (unitless)
collection_id (unitless)
collection_date (unitless)
collection_month (unitless)
collection_year (unitless)
collection_temp (degrees Celsius)
acclimation_temp (degrees Celsius)
LD50 (degrees Celsius)
SE (degrees Celsius)


[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

cdm_data_type = Other
VARIABLES:
Individual (unitless)
Pop (unitless)
Dev (degrees Celsius)
Sex (unitless)
BL (millimeters)
Collection_Date (unitless)
latitude (degrees_north)
longitude (degrees_east)


[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

cdm_data_type = Other
VARIABLES:
Individual (unitless)
Population (unitless)
Temp (degrees Celsius (C))
Total (unitless)
Hatched (unitless)
Hatching_Success (unitless)
Eggs_per_day (eggs per day)
Collection_Date (unitless)
latitude (degrees_north)
longitude (degrees_east)


[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.

cdm_data_type = Other
VARIABLES:
Population (unitless)
Stress_temp (degrees Celsius (C))
Dev_temp (degrees Celsius (C))
Individual (unitless)
Survivorship (unitless)
Collection_Date (unitless)
latitude (degrees_north)
longitude (degrees_east)


[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).
Additional 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.

cdm_data_type = Other
VARIABLES:
collection_id (unitless)
collection_date (unitless)
collection_temp (degrees Celsius)
acclimation_temp (degrees Celsius)
sex (unitless)
length (millimeter (mm))


[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.

cdm_data_type = Other
VARIABLES:
replicate (unitless)
experiment_date (unitless)
experiment_day (unitless)
experiment_month (units)
experiment_year (unitless)
diet (unitless)
tube (unitless)
ctmax (degrees Celsius)
length (millimeters (mm))


[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

cdm_data_type = Other
VARIABLES:
Pop (unitless)
Dev (degrees Celsius)
Stress (degrees Celsius (degC))
Sex (unitless)
Surv (unitless)
Collection_Date (unitless)
latitude (degrees_north)
longitude (degrees_east)


[accessory transects] - Summed coral cover along the four accessory transects in St. John from 1989 to 2017 (RUI-LTREB Renewal: Three decades of coral reef community dynamics in St. John, USVI: 2014-2019)

These files contain data that support an analysis of the effects of two major hurricanes on coral reefs that have been extensively studied for more than three decades. Major tropical storms are destructive phenomena with large effects on the community dynamics of multiple biomes. On coral reefs, their impacts have been described for decades, leading to the expectation that future storms should have effects similar to those recorded in the past. This expectation relies on the assumption that storm intensities will remain unchanged, and the impacted coral reef communities are similar to those of the recent past; neither assumption is correct. These data support a study quantifying the effects of two category five hurricanes on the reefs of St. John, US Virgin Islands, where 31 y of time-series analyses reveal chronic coral mortality, increasing macroalgal abundance, and five major hurricanes that caused acute coral mortality. Contextualized by these trends, the effects of the most recent storms, Hurricanes Irma and Maria (September 2017), on coral cover were modest. While mean absolute coral cover declined 1\u20134% depending on site, these effects were not statistically discernable. Following decades of increasing abundance of macroalgae, this functional group responded to the  recent hurricanes with large increases in abundance on both absolute and relative scales. Decades of chronic mortality have changed the coral assemblages of St. John to create degraded communities that are resistant to severe storms.

cdm_data_type = Other
VARIABLES:
Transect_num (unitless)
Quadrat_num (unitless)
Coral_1989 (percent)
Coral_1995 (percent)
Coral_1996 (percent)
Coral_Jul_17 (percent)
Coral_Nov_17 (percent)


[Acropora cervicornis 16S rRNA sequence metadata: nutrient- and disease-exposed] - Acropora cervicornis 16S rRNA sequence metadata: nutrient- and disease-exposed from samples collected at  Mote Marine Laboratory in situ nursery from June to July 2022 (Collaborative Research: Tracking the interacting roles of the environment, host genotype, and a novel Rickettsiales in coral disease susceptibility)

In the summer of 2022, 20 ramets each of the Acropora cervicornis genotypes ML-AC-36 and ML-AC-46 were collected from Mote's in situ coral nursery and subjected to three weeks of elevated nitrate, ammonium, and phosphate in the form of a slow-release fertilizer. The duration and concentration of this exposure were selected based on prior experiments conducted at Mote Marine Laboratory, which were found to alter microbial community profiles and growth rates in A. cervicornis (Klinges et al., 2022, 2023). During experiment, corals were held in 2-gallon aquaria with 5 corals per aquarium. As Mote Marine Laboratory's experimental aquarium system is plumbed into nearshore coastal water and thus has a higher nutrient load than the reef, an additional subset of 18 ramets of each genotype was collected from Mote's in situ coral nursery immediately prior to disease challenge to evaluate the impact of nearshore water on disease response. All ramets in the disease group were subjected to disease challenge in the form of a tissue homogenate produced from diseased fragments of random genotypes of A. cervicornis. Ramets in a comparative unexposed group were exposed to a homogenate produced from healthy fragments of random genotypes of A. cervicornis.  We collected 190 samples for 16S rRNA sequencing, including prior to nutrient exposure, nutrient-exposed and -unexposed corals prior to disease challenge, and at several timepoints throughout disease exposure capturing both diseased and apparently healthy phenotypes. We additionally collected numerous samples for measurements of immune-related proteins. In brief, we found that disease challenge significantly impacted microbial communities, leading to significant differences in community composition between disease-exposed samples that developed disease, exposed samples that resisted disease, and healthy unexposed controls. The taxa Algicola, Halarcobacter, Saprospira, Shimia, Tenacibaculum, Thalassolituus, and Thalassotalea increased in abundance in samples that developed disease. Of the genotypes chosen for the experiment, one genotype was dominated by the putative parasite Aquarickettsia. We found that both genotypes were susceptible to disease, in contrast to previous results indicating that genotypes with low abundance of Aquarickettsia and relatively diverse microbiomes were disease-resistant. Raw sequence reads have been submitted to SRA under PRJNA1024453 with an embargo until publication.

cdm_data_type = Other
VARIABLES:
NCBI_Project (unitless)
sample_name (unitless)
... (30 more variables)


[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.

cdm_data_type = Other
VARIABLES:
bioproject_accession (unitless)
sample_name (unitless)
SRA_run_ID (unitless)
SRA_study_ID (unitless)
SRA_title (unitless)
library_strategy (unitless)
library_source (unitless)
library_selection (unitless)
library_layout (unitless)
platform (unitless)
instrument_model (unitless)
design (unitless)
filetype (unitless)
filename (unitless)
filetype2 (unitless)
filename2 (unitless)
site (unitless)
collection_date (unitless)
lat (degrees_north)
longitude (degrees_east)
Host_organism (unitless)
genotype (unitless)
bleach_status (unitless)


[Acropora cervicornis buoyant weight 2016] - Acropora cervicornis growth rates under different pH and temperature treatments from experiments at Summerland Key, Florida in September of 2016 (CAREER: Applying phenotypic variability to identify resilient Acropora cervicornis genotypes in the Florida Keys)

This dataset contains Acropora cervicornis buoyant weight measurements from different pH and temperature treatments. The experiments were conducted in tanks at Summerland Key, Florida (24.6616,-81.4538) with corals from a nursery located near Looe Key Reef (24.5636, -81.2786).  Experiments were conducted from July to September of 2016.

cdm_data_type = Other
VARIABLES:
tank (unitless)
pH (unitless)
Temp (Temperature, Celsius)
genotype (unitless)
July_mass (grams)
August_mass (Wind Speed Of Gust, grams)
September_mass (grams)


[Acropora cervicornis calcification rates] - Acropora cervicornis growth rates under different pH and temperature treatments from experiments at Summerland Key, Florida in September of 2016 (CAREER: Applying phenotypic variability to identify resilient Acropora cervicornis genotypes in the Florida Keys)

This dataset contains Acropora cervicornis calcification data from experiments conducted in tanks at Summerland Key, Florida (24.6616,-81.4538) between 2016-09-02 and 2016-09-10 with corals from a nursery located near Looe Key Reef (24.5636, -81.2786).

cdm_data_type = Other
VARIABLES:
pH (unitless)
Temp (Temperature, Celsius)
Tank (unitless)
Chamber (unitless)
Genotype (unitless)
Cycle (unitless)
Calcification (micromoles of calcium carbonate per centimeter squred per hour (CaCO3/cm2/h))
Date (unitless)


[Acropora cervicornis photosynthesis and respiration rates] - Acropora cervicornis photosynthesis and respiration rates under different pH and temperature treatments from experiments at Summerland Key, Florida in September of 2016 (CAREER: Applying phenotypic variability to identify resilient Acropora cervicornis genotypes in the Florida Keys)

This dataset contains oxygen change rates under dark and light conditions from 12 Acropora cervicornis genotypes previously exposed to different pH and temperature treatments. The coral surface area during photosynthesis and respiration experiments is included.  The experiments were conducted in tanks at Summerland Key, Florida (24.6616,-81.4538) between 2016-09-02 and 2016-09-10 with corals from a nursery located near Looe Key Reef (24.5636, -81.2786).

cdm_data_type = Other
VARIABLES:
date (unitless)
O2_rate_dark (micromoles of oxygen per hour (umol/h))
O2_rate_light (micromoles of oxygen per hour (umol/h))
genotype (unitless)
tank (unitless)
temp (Temperature, Celsius)
pH (unitless)
area (centimeters squared (cm2))


[Acropora cervicornis protein measurements: nutrient- and disease-exposed] - Acropora cervicornis protein measurements: nutrient- and disease-exposed from samples collected at  Mote Marine Laboratory in situ nursery from June to July 2022 (Collaborative Research: Tracking the interacting roles of the environment, host genotype, and a novel Rickettsiales in coral disease susceptibility)

In the summer of 2022, 20 ramets each of the Acropora cervicornis genotypes ML-AC-36 and ML-AC-46 were collected from Mote's in situ coral nursery and subjected to three weeks of elevated nitrate, ammonium, and phosphate in the form of a slow-release fertilizer. The duration and concentration of this exposure were selected based on prior experiments conducted at Mote Marine Laboratory, which were found to alter microbial community profiles and growth rates in A. cervicornis (Klinges et al., 2022, 2023). During experiment, corals were held in 2-gallon aquaria with 5 corals per aquarium. As Mote Marine Laboratory's experimental aquarium system is plumbed into nearshore coastal water and thus has a higher nutrient load than the reef, an additional subset of 18 ramets of each genotype was collected from Mote's in situ coral nursery immediately prior to disease challenge to evaluate the impact of nearshore water on disease response. All ramets in the disease group were subjected to disease challenge in the form of a tissue homogenate produced from diseased fragments of random genotypes of A. cervicornis. Ramets in a comparative unexposed group were exposed to a homogenate produced from healthy fragments of random genotypes of A. cervicornis.  To evaluate the effect of Aquarickettsia infection; nutrient enrichment; disease exposure; and the combination of these factors on coral immune function, a number of immune related proteins and antioxidants were measured using microplate assays from a total of 55 samples taken prior to disease exposure and following disease exposure as corals either resisted or developed disease. Total host protein and the antioxidant superoxide dismutase were found to be higher in healthy corals regardless of genotype or nutrient enrichment. Phenoloxidase and prophenoloxidase were higher in concentration in diseased samples compared to healthy samples. Disease-exposed but apparently healthy corals had higher superoxide dismutase, prophenoloxidase, and peroxidase activity than either healthy unexposed corals or diseased corals despite total protein concentrations that were lower than healthy unexposed corals.

cdm_data_type = Other
VARIABLES:
Full_ID (unitless)
Date (unitless)
TP (mg)
POX (ΔAbs470nm)
Normalized_POX (ΔAbs470nm/mg protein)
... (17 more variables)


[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.

This 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.

cdm_data_type = Other
VARIABLES:
Tank (untiless)
Treatment (untiless)
Location (untiless)
Genotype (untiless)
Day_1_AM (untiless)
Day_1_PM (untiless)
Day_2_AM (untiless)
Day_2_PM (untiless)
Day_3_AM (untiless)
Day_3_PM (untiless)
Day_4_AM (untiless)
Day_4_PM (untiless)
Day_5_AM (untiless)
Day_5_PM (untiless)
Day_6_AM (untiless)
Day_6_PM (untiless)
Day_7_AM (untiless)


[Adaptation in fishing communities VTR 1997-2014] - Changes in groundfish fishing communities in the northeast US from 1997-2014 as captured in the vessel trip report (VTR) data collected by the National Oceanic and Atmospheric Administration National Marine Fisheries Service (NOAA-NMFS-NEFSC) (Adaptations of fish and fishing communities to rapid climate change)

This dataset describes changes in groundfish fishing communities in the northeast US from 1997-2014 as captured in the vessel trip report (VTR) data collected by the National Oceanic and Atmospheric Administration National Marine Fisheries Service Northeast Fisheries Science Center (NOAA-NMFS-NEFSC).

cdm_data_type = Other
VARIABLES:
community (unitless)
size (unitless)
km_shift (kilometers (km))
still_extant (unitless)
last_year (unitless)
sw_mean (unitless)
species_percent (unitless)


[ADCP FidalgoBay - July 2017] - Time series of horizontal and vertical current profiles collected from an upward-facing acoustic Doppler current profiler (ADCP) in Fidalgo Bay, WA during July 2017 (RUI: Will climate change cause 'lazy larvae'? Effects of climate stressors on larval behavior and dispersal)

This dataset is a time series of horizontal and vertical current profiles collected from an upward-facing acoustic Doppler current profiler in Fidalgo Bay, WA during July 2017. These data were published in the following Masters Thesis: McIntyre, Brooke A., \Vertical Distribution of Olympia oyster (Ostrea lurida) larvae in Fidalgo Bay, WA\ (2018). WWU Graduate School Collection. 694. https://cedar.wwu.edu/wwuet/694

cdm_data_type = Other
VARIABLES:
latitude (degrees_north)
longitude (degrees_east)
time (ISO Date Time UTC, seconds since 1970-01-01T00:00:00Z)
month (unitless)
day (unitless)
year (unitless)
time_PT (unitless)
pitch (degrees)
roll (degrees)
temp_c (degrees Celsius)
u_1 (meters/second)
u_1_3 (meters/second)
u_1_6 (meters/second)
u_1_9 (meters/second)
u_2_2 (meters/second)
u_2_5 (meters/second)
u_2_8 (meters/second)
u_3_1 (meters/second)
u_3_4 (meters/second)
u_3_7 (meters/second)
u_4 (meters/second)
u_4_3 (meters/second)
u_4_6 (meters/second)
... (62 more variables)


[ADCP Lake Michigan 2018] - Velocity observations from a mooring at Station AT55 in Lake Michigan from 2018-04-05 to 2018-04-20 (Collaborative Research: Regulation of plankton and nutrient dynamics by hydrodynamics and profundal filter feeders)

A fixed mooring was established to measure water column velocities in Lake Michigan near Milwaukee, WI, during 2018 from April 5 \u2013 April 20, 2018 at a 55m depth site.  The mooring involved a large tripod, upon which two ADCPs (Nortek Aquadopp HR profiler and Nortek Signature 500) were mounted to measure water column velocities between 13cm and 5087cm above the bed.

cdm_data_type = Other
VARIABLES:
HAB_cm (centimeters (cm))
HAB_m (meters (m))
latitude (degrees_north)
longitude (degrees_east)
component (unitless)
filename (unitless)
time (ISO Date Time UTC, seconds since 1970-01-01T00:00:00Z)
vel (meters per second (m/s))


[ADCP_5minute] - Five minute ADCP data from ARSV Laurence M. Gould and RVIB Nathaniel B. Palmer cruises to the Southern Ocean from 2001-2003 as part of the Southern Ocean GLOBEC project. (U.S. GLOBEC Southern Ocean)

Five minute ADCP data from ARSV Laurence M. Gould and RVIB Nathaniel B. Palmer cruises to the Southern Ocean from 2001-2003 as part of the Southern Ocean GLOBEC project.

cdm_data_type = Other
VARIABLES:
cruiseid
year_start (unitless)
month_start (MM)
day_start (dd)
time_start (HHmm.m)
year_end (unitless)
month_end (MM)
day_end (dd)
time_end (HHmm.m)
yrday0_utc (YYY.Y)
latitude (degrees_north)
longitude (degrees_east)
depth (m)
u_m (m/sec)
v_m (m/sec)


[ADCP_hourly] - Hourly ADCP data from ARSV Laurence M. Gould and RVIB Nathaniel B. Palmer cruises to the Southern Ocean from 2001-2003 as part of the Southern Ocean GLOBEC project. (U.S. GLOBEC Southern Ocean)

Hourly ADCP data from ARSV Laurence M. Gould and RVIB Nathaniel B. Palmer cruises to the Southern Ocean from 2001-2003 as part of the Southern Ocean GLOBEC project.

cdm_data_type = Other
VARIABLES:
cruiseid
year_start (unitless)
month_start (mm)
day_start (dd)
time_start (HHmm.m)
year_end (unitless)
month_end (mm)
day_end (dd)
time_end (HHmm.m)
yrday0_utc (YYY.Y)
latitude (degrees_north)
longitude (degrees_east)
depth (m)
u_m (m/sec)
v_m (m/sec)


[ADCP_Weicker] - Current velocities from ADCP from an R/V Lowell Weicker cruise in Fisher's Island Sound (NY/CT) in May 2012 (Diversity and dynamics of planktonic ciliates - what can next-generation sequencing technologies tell us?)

This dataset contains northward and eastward components of current velocity measured by Acoustic Doppler Current Profiler (ADCP). Velocity components are given at every 0.5 meter depth.

cdm_data_type = Other
VARIABLES:
month_local (unitless)
day_local (unitless)
year (unitless)
sta (unitless)
cast (unitless)
time_start_local (HHMM.mm)
latitude (degrees_north)
longitude (degrees_east)
ISO_DateTime_Local (ISO Date Time Local, unitless)
time_diff (hours)
depth (m)
u_m (m/s)
v_m (m/s)


[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).

Study description:

We 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.

In 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).

While 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.

cdm_data_type = Other
VARIABLES:
Species (unitless)
... (44 more variables)


[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).

Study description:

We 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.

In 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).

While 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.

cdm_data_type = Other
VARIABLES:
Species (unitless)
... (34 more variables)


[AE1620 bottles: Biogeochemical and Microbial data] - Nutrient concentrations and microbial counts from Niskin bottle collections on R/V Atlantic Explorer A1620 in the Bermuda Atlantic Time-series Study site from Sept 2016 (Dissolved Organic Carbon Cycling by SAR11 Marine Bacteria)

Nutrient concentrations and microbial counts from Niskin bottle collections on R/V Atlantic Explorer A1620 in the Bermuda Atlantic Time-series Study site from Sept 2016.

cdm_data_type = Other
VARIABLES:
sample_id (unitless)
Cruise (unitless)
Cast (unitless)
Niskin (unitless)
date (unitless)
date_decyr (unitless)
time_UTC (unitless)
latitude (degrees_north)
longitude (degrees_east)
depth (m)
Temp (Temperature, degrees celsius)
CTD_S (pratical salinity units (PSU))
Pressure (decibars)
Sigma_theta (Sea Water Sigma Theta, kilogram/meter^3)
Conductivity (Sea Water Electrical Conductivity, Siemens per meter)
Fluor (milligram per Liter)
Par (Downwelling Photosynthetic Photon Radiance In Sea Water, micro-Einsteins/meter^2/second (uE/m^2/sec))
O2 (millimole per kilogram)
beam_trans_CStarTr0 (Beam Trans CStar Tr0, unitless)
NO3_NO2 (Mole Concentration Of Nitrate In Sea Water, millimole per Liter)
NO3_NO2_QF (Mole Concentration Of Nitrate In Sea Water, unitless)
PO4 (Mass Concentration Of Phosphate In Sea Water, millimole per Liter)
PO4_QF (Mass Concentration Of Phosphate In Sea Water, unitless)
POC_mg_L (milligram per Liter)
POC_mmol_L (millimole per Liter)
POC_QF (unitless)
... (11 more variables)


[AE1703 bottles: Biogeochemical and Microbial data] - Nutrient concentrations and microbial counts from Niskin bottle collections on R/V Atlantic Explorer A1703 in the Bermuda Atlantic Time-series Study site from Mar/April 2016 (Dissolved Organic Carbon Cycling by SAR11 Marine Bacteria)

Nutrient concentrations and microbial counts from Niskin bottle collections on R/V Atlantic Explorer A1703 in the Bermuda Atlantic Time-series Study site from Mar/April 2016.

cdm_data_type = Other
VARIABLES:
sample_id (unitless)
Cruise (unitless)
Cast (unitless)
Niskin (unitless)
date (unitless)
date_decyr (unitless)
time_UTC (unitless)
latitude (degrees_north)
longitude (degrees_east)
depth (m)
Temp (Temperature, degrees celsius)
CTD_S (pratical salinity units (PSU))
Pressure (decibars)
Sigma_theta (Sea Water Sigma Theta, kilogram/meter^3)
Conductivity (Sea Water Electrical Conductivity, Siemens per meter)
Fluor (milligram per Liter)
Par (Downwelling Photosynthetic Photon Radiance In Sea Water, micro-Einsteins/meter^2/second (uE/m^2/sec))
O2 (millimole per kilogram)
beam_trans_CStarTr0 (Beam Trans CStar Tr0, unitless)
NO3_NO2 (Mole Concentration Of Nitrate In Sea Water, millimole per Liter)
NO3_NO2_QF (Mole Concentration Of Nitrate In Sea Water, unitless)
PO4 (Mass Concentration Of Phosphate In Sea Water, millimole per Liter)
PO4_QF (Mass Concentration Of Phosphate In Sea Water, unitless)
NH4 (Mole Concentration Of Ammonium In Sea Water, millimole per liter)
NH4_QF (Mole Concentration Of Ammonium In Sea Water, unitless)
POC_mg_L (milligram per Liter)
... (13 more variables)


[AE1812 Alkaline phosphatase] - Alkaline phosphatase activities for in situ and incubation samples from RV/Atlantic Explorer cruise AE1812 cruise transect from Bermuda to Rhode Island in May 2018. (Collaborative Research: Defining the biogeochemical drivers of diatom physiological ecology in the North Atlantic)

This dataset reports alkaline phosphatase activities (APA) for 3 incubation runs and 33 in situ samples collected on RV/Atlantic Explorer cruise AE1812 in May 2018. The samples were collected between Bermuda and Rhode Island.

cdm_data_type = Other
VARIABLES:
incubation (unitless)
sample (unitless)
station (unitless)
cast (unitless)
date_harvest (unitless)
APA_nmolP_hr_liter (APA Nmol P Hr Liter, nanomol Phosphate/hour/liter [nmol P/h/L])
APA_nmolP_hr_ug_chla (APA Nmol P Hr Ug Chla, nanomol Phosphate/hour/microgram chlorophyll-a [nmol P/h/µg Chl a])
latitude (degrees_north)
longitude (degrees_east)


[AE1812 Redox data] - Redox data from RV/Atlantic Explorer AE1812 in the northwest Atlantic, May 2018 (Collaborative Research: Defining the biogeochemical drivers of diatom physiological ecology in the North Atlantic)

This dataset includes redox data from RV/Atlantic Explorer AE1812 in the northwest Atlantic, May 2018.

cdm_data_type = Other
VARIABLES:
Station (unitless)
CTD_Cast (unitless)
Sample_type (unitless)
depth (m)
P33_PO4_incorp_PIII_rate (counts per minutes per liter per hour (cpm/(L h)))
P33_PO4_uptake (counts per minutes per liter per hour (cpm/(L h)))
P33_PO4_incorp_PIII_pcent (Mass Concentration Of Phosphate In Sea Water, percentage (%))


[AE1812 Water column phosphate data] - Water column phosphate data from RV/Atlantic Explorer AE1812, May 2018 (Collaborative Research: Defining the biogeochemical drivers of diatom physiological ecology in the North Atlantic)

This dataset includes water column phosphate data from RV/Atlantic Explorer AE1812, May 2018.

cdm_data_type = Other
VARIABLES:
CTD_Cast (unitless)
Station (unitless)
time (seconds since 1970-01-01T00:00:00Z)
latitude (degrees_north)
longitude (degrees_east)
depth (m)
MAGIC_SRP (nmol per liter)
TPP (nmol per liter)


[AE1910 CTD Bottles] - Bottle data from R/V Atlantic Explorer cruise AE1910 during May 2019 (Collaborative Research: Diel physiological rhythms in a tropical oceanic copepod)

Bottle data from R/V Atlantic Explorer cruise AE1910 during May 2019.

cdm_data_type = Other
VARIABLES:
cast (unitless)
latitude (degrees_north)
longitude (degrees_east)
Bottle (unitless)
Year (unitless)
Month (unitless)
Day (unitless)
Hours (unitless)
Minutes (unitless)
Seconds (unitless)
depth (Dep SM Avg, m)
DepSM_stdev (Dep SM Stdev, meters (m))
AltM_avg (Alt M Avg, meters (m))
AltM_stdev (Alt M Stdev, meters (m))
CStarTr0_avg (CStar Tr0 Avg, percent?)
CStarTr0_stdev (CStar Tr0 Stdev, percent?)
C0S_m_avg (C0 S M Avg, siemens per meter (S/m))
C0S_m_stdev (C0 S M Stdev, siemens per meter (S/m))
FlC_avg (Fl C Avg, micrograms per liter (ug/L))
FlC_stdev (Fl C Stdev, micrograms per liter (ug/L))
Sbeox0_avg (micromoles per kilogram (umol/kg))
Sbeox0_stdev (micromoles per kilogram (umol/kg))
Par_avg (?)
Par_stdev (?)
PrDE_avg (Pr DE Avg, psi)
PrDE_stdev (Pr DE Stdev, psi)
Sal00_avg (PSU)
... (8 more variables)


[AE1910 CTD Profiles] - CTD profiles from R/V Atlantic Explorer cruise AE1910 during May 2019 (Collaborative Research: Diel physiological rhythms in a tropical oceanic copepod)

CTD profiles from R/V Atlantic Explorer cruise AE1910 during May 2019.

cdm_data_type = Other
VARIABLES:
cast (unitless)
latitude (degrees_north)
longitude (degrees_east)
time (ISO Date Time UTC Start, seconds since 1970-01-01T00:00:00Z)
depth (Dep SM, m)
AltM (Alt M, meters (m))
CStarTr0 (CStar Tr0, unitless (percent))
C0S_m (C0 S M, siemens per meter (S/m))
FlC (FL C, micrograms per liter (ug/L))
Sbeox0 (micromoles per kilogram (umol/kg))
PAR (Downwelling Photosynthetic Photon Radiance In Sea Water, ?)
PrDE (Pr DE, psi)
Sal00 (PSU)
T090C (T090 C, ITS-90, degrees C)
Sigma_e00 (kilograms per cubic meter (kg/m^3))
Flag (unitless)


[AE1910 MOCNESS Continuous] - Continuous MOCNESS data files from R/V Atlantic Explorer cruise AE1910 during May 2019 (Collaborative Research: Diel physiological rhythms in a tropical oceanic copepod)

Continuous MOCNESS data files from R/V Atlantic Explorer cruise AE1910 during May 2019.

cdm_data_type = Other
VARIABLES:
tow (unitless)
date_start (unitless)
time_start (unitless)
time (ISO Date Time UTC Start, seconds since 1970-01-01T00:00:00Z)
cruise (unitless)
depth (Dep SM, m)
prDE (Pr DE, psi)
latitude (degrees_north)
longitude (degrees_east)
timeM (Time M, minutes)
flag (unitless)


[AE1910 MOCNESS Nets] - MOCNESS net data from R/V Atlantic Explorer cruise AE1910 during May 2019 (Collaborative Research: Diel physiological rhythms in a tropical oceanic copepod)

MOCNESS net data from R/V Atlantic Explorer cruise AE1910 during May 2019.

cdm_data_type = Other
VARIABLES:
tow (unitless)
date_start (unitless)
time_start (unitless)
time (ISO Date Time UTC Start, seconds since 1970-01-01T00:00:00Z)
cruise (unitless)
Date (unitless)
time2 (Time, unitless)
TC (Temperature Correction, unitless)
FC (counts)
VOL (unitless)
Pres (Pressure, millibars (mb))
Angle (degrees)


[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.

cdm_data_type = Other
VARIABLES:
SampleName (unitless)
latitude (degrees_north)
longitude (degrees_east)
depth (m)
pigment_abbr (unitless)
pigment_conc (nanograms per kilogram (ng/kg))


[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.

cdm_data_type = Other
VARIABLES:
Cast (unitless)
time (Nmea_datetime_utc, seconds since 1970-01-01T00:00:00Z)
latitude (degrees_north)
longitude (degrees_east)
depth (m)
c1mS_cm (milliSiemens per centimeter (mS/cm))
c0mS_cm (milliSiemens per centimeter (mS/cm))
t090C (degrees Celsius (deg C))
prDM (Digiquartz (db))
sbeox0Mm_L (micromoles per liter (umol/l))
flC (Micrograms per liter (ug/l))
CStarTr0 (Percent (%))
sal00 (Practical Salinity Units (PSU))
flag (unitless)


[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.

cdm_data_type = Other
VARIABLES:
Station (unitless)
Latitude (degrees_north)
longitude (degrees_east)
depth (m)
time (Datetime_deploy, seconds since 1970-01-01T00:00:00Z)
DateTime_recover (seconds since 1970-01-01T00:00:00Z)
dFe (nanomolar (nM))
dFeFlag (unitless)
dZn (nanomolar (nM))
dZnFlag (unitless)
dCd (nanomolar (nM))
dCdFlag (unitless)
dNi (nanomolar (nM))
dNiFlag (unitless)
dCu (nanomolar (nM))
dCuFlag (unitless)
dMn (nanomolar (nM))
dMnFlag (unitless)
PO4 (micromolar (uM))
NO2_NO3 (micromolar (uM))
... (9 more variables)