[Doliolid diet: zooplankton abundance] - Zooplankton community abundances from meter net tows on multiple cruises on RV/Savannah in the South Atlantic Bight, Mid-Continental Shelf from 2015-2017 (The cryptic diet of the globally significant pelagic tunicate Dolioletta gegenbauri (Uljanin, 1884.))

Summary:
Zooplankton community abundances from meter net tows taken on multiple cruises RV/Savannah cruises in the South Atlantic Bight, Mid-Continental Shelf from August 2015 to December 2017.

cdm_data_type = Other
VARIABLES:
cruise_id (unitless)
date (unitless)
latitude (degrees_north)
longitude (degrees_east)
cast (unitless)
station_depth_water (meters)
mesh (microns)
replicate (unitless)
time_tow (unitless)
time (ISO Date Time UTC, seconds since 1970-01-01T00:00:00Z)
vol_filt (cubic meters (m^3))
splits (splits)
taxon_1 (unitless)
taxon_2 (unitless)
dilution_factor (unitless)
count_aliquot_1 (number of individuals per sample)
count_aliquot_2 (number of individuals per sample)
count_mean (number of individuals per sample)
count_sample (number of individuals per sample)
abundance_m3 (individuals per cubic meter of water)


[DOM remineralization bioassays] - Bacterial abundance, bacterial organic carbon, and total organic carbon from remineralization bioassays conducted on R/V Robert Gordon Sproul cruises along the Southern California coast during July and August 2023 (Postdoctoral Fellowship: OCE-PRF: Smoke on the water: the impacts of wildfire ash deposition on surface ocean biology)

Summary:
These data include bacterial abundance, bacterial organic carbon, and total organic carbon from remineralization bioassays conducted to assess bacterioplankton growth and DOC degradation. Experiments were conducted on cruises aboard the R/V Robert Gordon Sproul (SP2319, SP2320) between dates 2023-07-28 and 2023-08-19 along the Southern California coast.

Deposition of wildfire ash on the ocean can fertilize microbial production but also has the potential to inhibit microbial growth due to heavy metal toxicity. The data collected from these field experiments can contribute to elevating understanding of wildfire-driven material transfer from the terrestrial system to the ocean and its impact on carbon and energy flow in marine food webs. These data were collected by Dr. Nicholas Baetge,  Dr. Allen Milligan, Brian Ver Wey, and Parker Hansen of Oregon State University. Data were also collected by Dr. Craig Carlson, Elisa Halewood, and Keri Opalk of the University of California Santa Barbara

cdm_data_type = Other
VARIABLES:
stn (unitless)
latitude (degrees_north)
longitude (degrees_east)
time (Dt, seconds since 1970-01-01T00:00:00Z)
trt (unitless)
bact_cells (cells per milliliter)
sd_bact_cells (cells per milliliter)
boc (micromoles C per liter (umol C/L))
mean_toc (micromoles C per liter (umol C/L))
sd_toc (micromoles C per liter (umol C/L))


[Domoic acid assimilation in copepods] - Domoic acid assimilation in copepods from experiments conducted using water samples collected in northern Gulf of Mexico in 2019 (The biotic and abiotic controls on the Silicon cycle in the northern Gulf of Mexico)

Summary:
Domoic acid assimilation in copepods by consuming organic polymers containing domoic acid.  Results from lab experiments designed to investigate the role of organic polymers in trophic transfer of domoic acid, using Acartia tonsa as a model organism.  Water samples were collected in the northern Gulf of Mexico in 2019.

cdm_data_type = Other
VARIABLES:
time (ISO Date Time UTC, seconds since 1970-01-01T00:00:00Z)
latitude (degrees_north)
longitude (degrees_east)
Date (unitless)
time2 (Time, unitless)
Experiment (unitless)
Treatment (unitless)
Replicate_bottle (unitless)
Num_copepods (integer)
cDA_mass (C DA Mass, nanograms (ng))
cDA_indiv (C DA Indiv, picograms (pg) per copepod)


[Doo et al. 2018, Coral Reefs - Mesocosm chemistry data] - Seawater chemistry treatment conditions (Moorea Coral Reef Long-Term Ecological Research site)

Summary:
Seawater chemistry treatment conditions from experiments on coral calcification.

cdm_data_type = Other
VARIABLES:
time (seconds since 1970-01-01T00:00:00Z)
Tank_no (unitless)
TA (micromoles per kilogram (umol kg-1))
pH (Sea Water Ph Reported On Total Scale, unitless (pH scale))
Salinity (Sea Water Practical Salinity, PSU)
Temperature (degrees Celsius)
Light (micromoles photons per meter squared per second (umol photons m-2 sec -1))


[Drifter data] - Trajectories of fifty-five biodegradable drifters in the Belizean Barrier Reef. (An Integrative Investigation of Population Connectivity Using a Coral Reef Fish)

Summary:
Trajectories of fifty-five biodegradable drifters in the Belizean Barrier Reef.

cdm_data_type = Other
VARIABLES:
orig_file_name (unitless)
GPS_dataType (GPS Data Type, unitless)
date (unitless)
UTC_time (unitless)
latitude (degrees_north)
longitude (degrees_east)
fix_quality (unitless)
satellite_number (count)
HDOP (unitless)
altitude_ (Altitude, meters)
altitude_units (Altitude, M)
geoid (meters)
geoid_units (M)
checksum_data (unitless)
time (ISO Date Time UTC, seconds since 1970-01-01T00:00:00Z)


[drifter_tracks] - Drifter track data from drifters deployed on multiple R/V Endeavor, Albatross IV,  Oceanus, Delaware, Cape Hatteras, Parizeau, and CCGS Cygnus cruises in the Gulf of Maine and Georges Bank from 1995-1999 (GLOBEC) (U.S. GLOBEC Georges Bank)

Summary:
Drifter track data from drifters deployed on multiple R/V Endeavor, Albatross IV,  Oceanus, Delaware, Cape Hatteras, Parizeau, and CCGS Cygnus cruises in the Gulf of Maine and Georges Bank from 1995-1999. Satellite-tracked drifters with holey sock drogues centered at 10, 15 and 40-m depths were deployed over Georges Bank during 1995-99 in support of the U.S. GLOBEC/Georges Bank Program.

cdm_data_type = Other
VARIABLES:
year_start (dimensionless)
drifterid (dimensionless)
argosid (dimensionless)
cruiseid (dimensionless)
latitude (degrees_north)
longitude (degrees_east)
temp (Temperature, degrees Celsius)
submergence (unknown)
yrday_gmt (dimensionless)
year (dimensionless)
month_gmt (dimensionless)
day_gmt (dimensionless)
time_gmt (dimensionless)
time (ISO Date Time UTC, seconds since 1970-01-01T00:00:00Z)


[DRIFTERS] - Temperature and salinity from drifters deployed during R/V Hugh R. Sharp DANCE cruise HRS1414 in the Mid and South-Atlantic Bight from July to August of 2014 (DANCE project) (Collaborative Research: Impacts of atmospheric nitrogen deposition on the biogeochemistry of oligotrophic coastal waters)

Summary:
15-min location, temperature, and salinity data from three drifting buoys deployed during DANCE cruise HRS1414 in the Mid and South-Atlantic Bight from July to August of 2014 (DANCE project)

cdm_data_type = Other
VARIABLES:
drifter_id (unitless)
yr (unitless)
mon (unitless)
day (unitless)
hr (unitless)
min (unitless)
sec (unitless)
time (ISO Date Time UTC, seconds since 1970-01-01T00:00:00Z)
latitude (degrees_north)
longitude (degrees_east)
temp (Temperature, degrees Celsius)
salt (Sea Water Practical Salinity, parts per thousand (ppt))


[Ebullition on VA Eastern Shore] - Bubble flux measurements and concentrations at two sites on the Virginia Eastern Shore, July 2017 (Toward an Improved Understanding of Blue Carbon: The Role of Seagrasses in Sequestering CO2)

Summary:
Bubble flux measurements and concentrations at two sites on the Virginia Eastern Shore, July 2017.

cdm_data_type = Other
VARIABLES:
date_local (unitless)
time_local (unitless)
time (ISO Date Time Local, seconds since 1970-01-01T00:00:00Z)
Site (unitless)
latitude (degrees_north)
longitude (degrees_east)
Traps (traps)
Deployment_duration (hours)
Gas_Flux (microMol/meter^2/hour (mMol/m2/h))
Gas_Flux_stdev (microMol/meter^2/hour (mMol/m2/h))
Gas_samples (samples)
O2_Optode (percent)
O2_Optode_stdev (percent)
O2_Ar (unitless)
O2_Ar_stdev (unitless)
d18O (D18 O, parts per thousand (ppt))
d18O_stdev (D18 O Stdev, parts per thousand (ppt))


[Ecological monitoring Natividad 2006-2021: Algae] - Ecological monitoring of algae on Isla Natividad from 2006 to 2021 (Collaborative Research: Evaluating how abalone populations in the California Current are structured by the interplay of large-scale oceanographic forcing and nearshore variability)

Summary:
This dataset encompasses information about algae transects between 2006 to 2021 in Isla Natividad, Baja California Sur, Mexico. Abundances of algae and the number of stipes of each individual algae can be found in the data set. Also, the dates when the transects were done, the site, the name of the diver, the depth the transect was laid, if the site was a marine reserve or not, if the site is inside a marine protected area or not, the latitude and longitude of the sites, the temperature of the water, the number of transect from where the information was counted, and the species name of algae counted.

Ecological monitoring is important to collect data of species that inhabit an specific ecosystem. For this data set, we present all the data form 2006 to 2021 on algae, marine invertebrates, fish and uniform point contact at six different sites in Isla Natividad off the coast of Baja California Sur, Mexico. Data was collected once a year by trained divers as a collaborative effort from Stanford University, non-governmental organizations, and fishing cooperative federations. These data provides the abundaces of algae, invertebrates, fish and substrate  of Isla Natividad over the spam of 15 years and may be use to assess changes in the ecosystems after shocks such as hypoxic events or marine heatwaves.

cdm_data_type = Other
VARIABLES:
ID (unitless)
DAY (unitless)
MONTH (unitless)
YEAR (unitless)
STATE (unitless)
COMMUNITY (unitless)
SITE (unitless)
LAT (degrees_north)
longitude (Long, degrees_east)
HABITAT (unitless)
ZONE (unitless)
PROTECTION (unitless)
... (18 more variables)


[Ecological monitoring Natividad 2006-2021: Fish] - Ecological monitoring of fish on Isla Natividad from 2006 to 2021 (Collaborative Research: Evaluating how abalone populations in the California Current are structured by the interplay of large-scale oceanographic forcing and nearshore variability)

Summary:
This dataset encompasses information about fish transects between 2006 to 2021 in Isla Natividad. Abundances, sex and size of fish can be found in the data set. Also, the dates when the transects were done, the site, the name of the diver, the depth the transect was laid, if the site was a marine reserve or not, if the site is inside a marine protected area or not, the latitude and longitude of the sites, the temperature of the water, the number of transect from where the information was counted, and the species name of the fish counted.

Ecological monitoring is important to collect data of species that inhabit an specific ecosystem. For this data set, we present all the data form 2006 to 2021 on algae, marine invertebrates, fish and uniform point contact at six different sites in Isla Natividad off the coast of Baja California Sur, Mexico. Data was collected once a year by trained divers as a collaborative effort from Stanford University, non-governmental organizations, and fishing cooperative federations. These data provides the abundaces of algae, invertebrates, fish and substrate  of Isla Natividad over the spam of 15 years and may be use to assess changes in the ecosystems after shocks such as hypoxic events or marine heatwaves.

cdm_data_type = Other
VARIABLES:
ID (unitless)
DAY (unitless)
MONTH (unitless)
YEAR (unitless)
STATE (unitless)
COMMUNITY (unitless)
SITE (unitless)
LAT (degrees_north)
longitude (Long, degrees_east)
HABITAT (unitless)
ZONE (unitless)
PROTECTION (unitless)
MPA (unitless)
... (15 more variables)


[Ecological monitoring Natividad 2006-2021: Invertebrates] - Ecological monitoring of marine invertebrates on Isla Natividad from 2006 to 2021 (Collaborative Research: Evaluating how abalone populations in the California Current are structured by the interplay of large-scale oceanographic forcing and nearshore variability)

Summary:
This dataset encompasses information about marine invertebrates transects between 2006 to 2021 in Isla Natividad. Abundances of invertebrates can be found in the data set. Also, the dates when the transects were done, the site, the name of the diver, the depth the transect was laid, if the site was a marine reserve or not, if the site is inside a marine protected area or not, the latitude and longitude of the sites, the temperature of the water, the number of transect from where the information was counted, and the species name of each invertebrate counted.

Ecological monitoring is important to collect data of species that inhabit an specific ecosystem. For this data set, we present all the data form 2006 to 2021 on algae, marine invertebrates, fish and uniform point contact at six different sites in Isla Natividad off the coast of Baja California Sur, Mexico. Data was collected once a year by trained divers as a collaborative effort from Stanford University, non-governmental organizations, and fishing cooperative federations. These data provides the abundaces of algae, invertebrates, fish and substrate  of Isla Natividad over the spam of 15 years and may be use to assess changes in the ecosystems after shocks such as hypoxic events or marine heatwaves.

cdm_data_type = Other
VARIABLES:
ID (unitless)
DAY (unitless)
MONTH (unitless)
YEAR (unitless)
STATE (unitless)
COMMUNITY (unitless)
SITE (unitless)
LAT (degrees_north)
longitude (Long, degrees_east)
HABITAT (unitless)
ZONE (unitless)
PROTECTION (unitless)
MPA (unitless)
... (13 more variables)


[Ecological monitoring Natividad 2006-2021: UPC] - Uniform point contact (UPC) transect data from Isla Natividad from 2006 to 2021 (Collaborative Research: Evaluating how abalone populations in the California Current are structured by the interplay of large-scale oceanographic forcing and nearshore variability)

Summary:
This dataset encompasses information about Uniform point contact (UPC) transects between 2006 to 2021 in Isla Natividad. UPC refers to the information about the substrate where the transect is laid. Every meter (along the 30m transect) you identify what type of substrate there is (e.g., sand, cobble, boulder, reef, other such as anthropogenic), what type of cover there is (e.g., none, brown algae, green algae, red algae, crustose coralline algae, mobile invertebrates, sessile invertebrates or seagrass) and the height of the relief (e.g., less than 10cm, between 10cm and 1m, between 1m and 2m or more than 2m). With this information you can assess the kelp forest ecosystem. This dataset also has information about the dates when the transects were done, site, the name of the diver, the depth the transect was laid, if the site was a marine reserve or not, if the site is inside a marine protected area or not, the latitude and longitude of the sites, the temperature of the water, the number of transect from where the information was counted and the total of substrate, cover and relief points.

Ecological monitoring is important to collect data of species that inhabit an specific ecosystem. For this data set, we present all the data form 2006 to 2021 on algae, marine invertebrates, fish and uniform point contact at six different sites in Isla Natividad off the coast of Baja California Sur, Mexico. Data was collected once a year by trained divers as a collaborative effort from Stanford University, non-governmental organizations, and fishing cooperative federations. These data provides the abundaces of algae, invertebrates, fish and substrate  of Isla Natividad over the spam of 15 years and may be use to assess changes in the ecosystems after shocks such as hypoxic events or marine heatwaves.

cdm_data_type = Other
VARIABLES:
ID (unitless)
DAY (unitless)
MONTH (unitless)
YEAR (unitless)
STATE (unitless)
COMMUNITY (unitless)
SITE (unitless)
... (40 more variables)


[EcoMon Plankton 100m3] - EcoMon plankton counts (100-m3) from Bongo tows, including MARMAP data multiple cruises in the Northeast Continental Shelf of the United States from 1977-2015 (EcoMon Zooplankton project) (EcoMon Zooplankton)

Summary:
EcoMon plankton counts from Bongo tows. Includes MARMAP data.

cdm_data_type = Other
VARIABLES:
year
cruiseid
station
date (seconds since 1970-01-01T00:00:00Z)
month
day
time2 (Time)
latitude (degrees_north)
longitude (degrees_east)
depth (m)
zoo_gear
ich_gear
sfc_temp
sfc_salt
btm_temp
btm_salt
volume_100m3
taxon
count


[EcoMon Plankton 10m2] - EcoMon plankton counts (10-m2) from Bongo tows, including MARMAP data from multiple cruises in the Northeast Continental Shelf of the United States from 1977-2015 (EcoMon Zooplankton project) (EcoMon Zooplankton)

Summary:
EcoMon plankton counts (10-m2) from Bongo tows, including MARMAP data from multiple cruises in the Northeast Continental Shelf of the United States from 1977-2015 (EcoMon Zooplankton project)

cdm_data_type = Other
VARIABLES:
year
cruiseid
station
date (seconds since 1970-01-01T00:00:00Z)
month
day
time2 (Time)
latitude (degrees_north)
longitude (degrees_east)
depth (m)
zoo_gear
ich_gear
sfc_temp
sfc_salt
btm_temp
btm_salt
volume_1m2
taxon
count


[Edmunds et al. MarBio 2019a: Kd data] - Light data (Kd) from surveys conducted in St. John, US Virgin Islands in 2017 (RAPID: Hurricane Irma: Effects of repeated severe storms on shallow Caribbean reefs and their changing ecological resilience)

Summary:
Light data (Kd) from surveys conducted in Great Lameshur Bay, St. John, US Virgin Islands in 2017. These data were used in Edmunds et al. (2019) in Figure 2.

cdm_data_type = Other
VARIABLES:
DateTime_Local (Date Time Local, unitless)
Surface_Light (micromoles per square meter per second (µmol quanta/m2/s))
Underwater_Light (micromoles per square meter per second (µmol quanta/m2/s))
Kd (unitless)
Transmition_Percent (percent)
time (ISO Date Time UTC, seconds since 1970-01-01T00:00:00Z)


[Edmunds et al. MarBio 2019a: Transmission data] - Light data (transmission) from surveys conducted in St. John, US Virgin Islands in 2017 (RAPID: Hurricane Irma: Effects of repeated severe storms on shallow Caribbean reefs and their changing ecological resilience)

Summary:
Light data (transmission) from surveys conducted in Great Lameshur Bay, St. John, US Virgin Islands in 2017. These data were used in Edmunds et al. (2019) in Figure 2.

cdm_data_type = Other
VARIABLES:
Underwater_Date_Local (unitless)
Underwater_Time_Local (unitless)
Underwater_Light (micromoles per square meter per second (µmol quanta/m2/s))
Surface_DateTime_Local (Surface Date Time Local, unitless)
Surface_Light (micromoles per square meter per second (µmol quanta/m2/s))
Transmition_Percent (percent)
time (Surface Date Time ISO UTC, seconds since 1970-01-01T00:00:00Z)


[EK80 Antarctic Krill Swarms] - Krill swarms detected with active acoustic EK80 onboard small boat surveys in Palmer Deep Canyon, Antarctica during January-March 2020 (Collaborative Research: Physical Mechanisms Driving Food Web Focusing in Antarctic Biological Hotspots)

Summary:
These data include identified krill swarms observed by a hull-mounted SIMRAD EK80 single-beam, single frequency (120 kHz) echo sounder (Kongsberg Maritime) hereby referred to as “EK80”. Data were collected in Palmer Deep Canyon, Antarctica during January-March 2020. Small boat surveys were conducted twice weekly over known penguin foraging areas. EK80 data were processed using Echoview software and backscattering zooplankton were identified as krill when within a target strength of -70 dB to -30 dB.

The EK80 survey was designed in concert with the ACROBAT, HFR and mooring observations to provide a wholistic view of the food web. Observing the distribution of krill swarms and their correlation with other ecosystem variables is important for understanding how the Palmer Deep ecosystem, and other coastal ecosystems globally, respond to complex coastal ocean currents and ways this system may be resilient to rapid warming. The collection and processing of these data was headed by Ashley Hann and Dr. Kim Bernard.

cdm_data_type = Other
VARIABLES:
Date_M (unitless)
Time_M (unitless)
time (Iso8601, seconds since 1970-01-01T00:00:00Z)
longitude (Lon_m, degrees_east)
latitude (Lat_m, degrees_north)
depth (Depth_mean, m)
Sv_mean (dB)
NASC (m²/nmi²)
Height_mean (Meters (m))
Thickness_mean (Meters (m))
Length (Meters (m))
mld (Meters (m))
surface (Binary)


[Electrochemical Data CL2015] - Electrochemical data from sediments collected on R/V Savannah cruise SAV-15-18 at the Cape Lookout Continental Shelf and Slope during July 2015 (Source, Composition, and Stability of Soluble Iron Fluxing from Continental Margin Sediments)

Summary:
Electrochemistry data from sediments collected on R/V Savannah cruise SAV-15-18 at the Cape Lookout Continental Shelf and Slope during July 2015.

cdm_data_type = Other
VARIABLES:
Year (unitless)
Month (unitless)
Day (unitless)
Collection_Type (unitless)
Station (unitless)
longitude (degrees_east)
latitude (degrees_north)
Sediment_depth (millimeters (mm))
O2 (micromolar (uM))
sdO2 (Sd O2, micromolar (uM))
Mn_II (micromolar (uM))
sdMn_II (Sd Mn II, micromolar (uM))
Fe_II (micromolar (uM))
sdFe_II (Sd Fe II, micromolar (uM))
Org_Fe_III (nA)
sdOrgFe_III (Sd Org Fe III, nA)
FeS_aq (Fe S Aq, nA)
sdFeS_aq (Sd Fe S Aq, nA)
SH2S (SH2 S, micromolar (uM))
sdSH2S (SD SH2 S, micromolar (uM))
time (seconds since 1970-01-01T00:00:00Z)


[Electron microprobe elemental bulk composition from seafloor sulfide deposits East Pacific Rise 9-10 North] - Electron microprobe elemental bulk composition from seafloor sulfide deposits East Pacific Rise 9-10 North (Collaborative Research: From hot to cold in the dark - shifts in seafloor massive sulfide microbial communities as physical and geochemical conditions change after venting ceases)

Summary:
Electron microprobe elemental bulk composition were collected for seafloor sulfide deposits. Seafloor sulfide mineral samples were collected from hydrothermally active chimneys and inactive off-axis massive sulfide deposits at East Pacific Rise (EPR) 9.50°N in 2019-2021 on cruises AT42-09, AT42-21 and RR2102. Samples were collected using the HOV Alvin or ROV JASON II. Samples were placed in a positive-pressure glove bag flushed with N2 (g), sparged with N2, heat-sealed into mylar bags containing Anaeropaks, and stored at -20°C.

Epoxy embedded petrographic thin sections were created using these samples. Subsamples were dried for 24 hours under N2 (g), vacuum embedded in epoxy resin (Struers EpoFix Resin, 1L kit: Part #40200030) following manufacturer's guidelines, and cured under N2 (g) for 24 hours. Each epoxy-embedded sample was pre-cut using a wafering saw then sent to Spectrum Petrographics, Inc. (Washington, USA) for preparation as 30 micron thick, double-polished thin sections mounted on quartz slides using methods to limit sample exposure to water and ambient air. When not in use, thin-sections were stored under N2 (g) to limit oxidation. Thin sections were analyzed for electron microprobe bulk elemental data using a JEOL JXA-8530FPlus Electron Probe Microanalyzer at the Electron Microprobe Laboratory, Earth and Environmental Sciences-Twin Cities, University of Minnesota.

cdm_data_type = Other
VARIABLES:
Sample_name (unitless)
Map_name (unitless)
replicate_ID (unitless)
original_source_filename (unitless)
latitude (Latitude_dd, degrees_north)
longitude (Longitude_dd, degrees_east)
depth (Depth_mbs, m)
Heading_deg (degrees)
Date_collected_MMDDYYYY (unitless)
Time_collected (unitless)
weight_concentration_percentage_O (weight percent (wt %))
... (33 more variables)


[EN584 Bulk PA FlaPS Rates] - Polysaccharide hydrolysis rates from bulk water and 3 µm retained fraction (particle-associated) incubations in the Northwest Atlantic aboard the R/V Endeavor cruise EN584 from Jun to Jul 2016 (Latitudinal and depth-related contrasts in enzymatic capabilities of pelagic microbial communities: Predictable patterns in the ocean?)

Summary:
The potential of the seawater microbial community to hydrolyze six high-molecular-weight polysaccharides (arabinogalactan, chondroitin sulfate, fucoidan, laminarin, pullulan, and xylan) was investigated at various sites and depths of the Northwest Atlantic. Nearshore waters close to Cape Hatteras/Cape Lookout, and a transect along ~36° N out to ~58° W were collected during the summer of 2016, aboard the R/V Endeavor cruise EN584. Hydrolysis of high molecular weight substrates to lower molecular weight hydrolysis products was measured using gel permeation chromatography with fluorescence detection, after the method of Arnosti (1996, 2003). This dataset includes polysaccharide hydrolysis rates to measure microbial enzyme activities from bulk water and 3 µm retained fraction (particle-associated) incubations.

cdm_data_type = Other
VARIABLES:
Deployment (unitless)
stn (unitless)
latitude (degrees_north)
longitude (degrees_east)
ISO_DateTime_Local (unitless)
time (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)
cast_number (unitless)
depth_sequence (unitless)
depth (Depth_actual, m)
sample_type (unitless)
amended_unamended (unitless)
substrate (unitless)
timepoint (unitless)
time_elapsed_hr (hours)
rep1_rate (nM*hr-1)
rep2_rate (nM*hr-1)
rep3_rate (nM*hr-1)
average (nM*hr-1)
std_dev (nM*hr-1)


[EN589 Aerosol and seawater chemical composition] - Chemical composition of 'model' Primary Marine Aerosol (mPMA) and seawater measured on R/V Endeavor EN589 during Sept. - Oct. 2016 (Collaborative Research: Coupled Ocean-Atmosphere Recycling of Refractory Dissolved Organic Carbon in Seawater)

Summary:
This dataset describes the ionic composition of western North Atlantic seawater and the corresponding chemical composition of mPMA produced from that seawater in a high-capacity generator over ranges of operating conditions. Measurements were taken during cruise EN589 on RV/Endeavor during September and October 2016.

cdm_data_type = Other
VARIABLES:
Campaign_Sequence_Number (unitless)
Sample_Type (unitless)
Sample_ID (unitless)
CI_50_Aerodynamic_Cut_Diam (micrometers)
S_Sample_Location (unitless)
latitude (degrees_north)
longitude (degrees_east)
time (ISO Date Time Local Start, seconds since 1970-01-01T00:00:00Z)
ISO_DateTime_local_end (ISO Date Time Local End, unitless)
Cl (nanomol/cubic meter (nmol m-3) for mPMA; micromol (µM) for S)
Br (nanomol/cubic meter (nmol m-3) for mPMA; micromol (µM) for S)
SO4 (nanomol/cubic meter (nmol m-3) for mPMA; micromol (µM) for S)
Na (nanomol/cubic meter (nmol m-3) for mPMA; micromol (µM) for S)
K (nanomol/cubic meter (nmol m-3) for mPMA; micromol (µM) for S)
Mg (nanomol/cubic meter (nmol m-3) for mPMA; micromol (µM) for S)
Ca (nanomol/cubic meter (nmol m-3) for mPMA; micromol (µM) for S)
OCwe (nanomol/cubic meter (nmol m-3) for mPMA; micromol (µM) for S)
OCwe_STD (nanomol/cubic meter (nmol m-3) for mPMA; micromol (µM) for S)
Comments (unitless)


[EN614 HPLC Pigments] - Phytoplankton diagnostic pigments from HPLC from samples collected on R/V Endeavor cruise EN614 in the tropical North Atlantic during May 2018 (Collaborative Research: Impact of the Amazon River Plume on Nitrogen Availability and Planktonic Food Web Dynamics in the Western Tropical North Atlantic)

Summary:
Phytoplankton diagnostic pigments from HPLC from samples collected on R/V Endeavor cruise EN614 in the tropical North Atlantic during May 2018. Note: these data are also available through NASA's SeaBASS repository at https://seabass.gsfc.nasa.gov/archive/COLUMBIA_U/subramaniam/LAMONT_ATL/may18atl/archive

cdm_data_type = Other
VARIABLES:
Sample (unitless)
volfilt (liters (L))
Station (unitless)
depth (m)
Year (meters (m))
month (unitless)
Day (unitless)
sdy (unitless)
time2 (Time, unitless)
time (ISO Date Time UTC, seconds since 1970-01-01T00:00:00Z)
longitude (degrees_east)
latitude (degrees_north)
Tot_Chl_a (Concentration Of Chlorophyll In Sea Water, milligrams per cubic meter (mg/m^3))
Tot_Chl_b (milligrams per cubic meter (mg/m^3))
Tot_Chl_c (milligrams per cubic meter (mg/m^3))
Alpha_beta_Car (milligrams per cubic meter (mg/m^3))
But_fuco (milligrams per cubic meter (mg/m^3))
Hex_fuco (milligrams per cubic meter (mg/m^3))
Allo (milligrams per cubic meter (mg/m^3))
Diadino (milligrams per cubic meter (mg/m^3))
Diato (milligrams per cubic meter (mg/m^3))
Fuco (milligrams per cubic meter (mg/m^3))
Perid (milligrams per cubic meter (mg/m^3))
Zea (milligrams per cubic meter (mg/m^3))
MV_Chl_a (Concentration Of Chlorophyll In Sea Water, milligrams per cubic meter (mg/m^3))
... (28 more variables)


[EN614 Hydrography] - Hydrographic data collected during casts with a CTD-rosette system on R/V Endeavor cruise EN614 from May to June 2018 (Collaborative Research: Impact of the Amazon River Plume on Nitrogen Availability and Planktonic Food Web Dynamics in the Western Tropical North Atlantic)

Summary:
Hydrographic data collected during casts with a CTD-rosette system on R/V Endeavor cruise EN614 from May to June 2018.

cdm_data_type = Other
VARIABLES:
Cruise (unitless)
Station (unitless)
Site (unitless)
Stn_Event (unitless)
Filename (unitless)
Scan (Unitless)
TimeJ (Time J, unitless)
TimeS (Time S, seconds)
time (Date ODV, seconds since 1970-01-01T00:00:00Z)
PrDM (PR DM, decibars (db))
depth (Dep SM, m)
T090C (T090 C, degrees Celsius)
T190C (T190 C, degrees Celsius)
T2_T190C (T2 T190 C, degrees Celsius)
C0S_m (C0 S M, Siemens per meter (S/m))
C1S_m (C1 S M, Siemens per meter (S/m))
C2_C1S_m (C2 C1 S M, Siemens per meter (S/m))
V0 (volts)
CStarAt0 (CStar At0, reciprocal meters (1/m))
CStarTr0 (CStar Tr0, unitless (percent))
V1 (volts)
FlECO_AFL (Fl ECO AFL, milligrams per cubic meter (mg/m^3))
V2 (volts)
AltM (Alt M, meters (m))
V3 (volts)
Par (Downwelling Photosynthetic Photon Radiance In Sea Water, micromoles photons per square meter per second (umol photons/m^2/sec))
... (25 more variables)


[EN669 Bottle Data] - Carbonate chemistry analyses (total alkalinity, DIC, and d13C of DIC) from discrete bottle samples and CTD data from 12 stations sampled during R/V Endeavor cruise EN669 in the Gulf of Maine during August 2021 (CAREER: Gulf of Maine Temperature Trends and Variability from the early Holocene to the Present)

Summary:
This dataset includes seawater properties observed during cruise EN669 on the R/V Endeavor in the Gulf of Maine, conducted in August 2021 by PI Katherine Allen and the shipboard science party. Included are data from twelve CTD/Niskin rosette casts at twelve different stations accompanied by carbonate chemistry analyses (total alkalinity, DIC, and d13C of DIC) from discrete bottle samples collected during each cast. Bottle samples were analyzed by Adam Subhas at the Woods Hole Oceanographic Institution after the cruise was complete. Data from CTD casts were collected by the Endeavor's shipboard scientific party. These Gulf of Maine seawater observations provide constraints on growth conditions of synchronously collected foraminifera, enabling geochemical paleo-proxies to be assessed and refined for regional paleoceanographic reconstructions.

cdm_data_type = Other
VARIABLES:
CTD_Cast (unitless)
Niskin (unitless)
PotTemp (degrees Celsius)
Sal (unitless)
Depthm (meters (m))
DIC_Bottle (unitless)
DICumolkg (micromoles per kilogram seawater)
d13Cpermil (permille vs PDB)
talkumolkg (micromoles per kilogram seawater)
DICsd (micromoles per kilogram seawater)
d13Csd (permille vs PDB)
talksd (micromoles per kilogram seawater)
Scan (unitless)
TimeJ (days)
TimeS (seconds)
PrDM (meters (m))
T090C (degrees Celsius)
T190C (degrees Celsius)
T2_T190C (degrees Celsius)
... (39 more variables)


[EN683 Bacterial Productivity] - Bacterial Productivity measurement of bulk seawater and mesocosm experiments taken aboard the R/V Endeavor in the Western North Atlantic during the research cruise EN683 in May and June, 2022 (Substrate structural complexity and abundance control distinct mechanisms of microbially-driven carbon cycling in the ocean)

Summary:
This dataset includes the measurement of 3H-leucine incorporation by heterotrophic bacteria (a proxy for bacterial productivity) using a cold trichloroacetic acid (TCA) and microcentrifuge extraction method (Kirchman, 2001). Samples were collected at different sites in the Western North Atlantic and from mesocosm experiments using seawater from those sites. All work and incubations were performed in a UNOLS isotope lab aboard R/V Endeavor during the research cruise EN683 (2022-05-24 to 2022-06-12), or within designated areas at the University of North Carolina at Chapel Hill post cruise.

This research tested the hypothesis that the mechanism of polysaccharide processing is related to the cost to a cell of producing the enzymes required for its hydrolysis, and the probability that a cell will receive sufficient return on investment for producing the enzymes. Our conceptual model suggests that external (extracellular) hydrolysis is favored when organic matter is abundant, or when enzyme production costs can be shared (e.g., on particles, in biofilms); selfish uptake (hydrolysis without production of low molecular weight products in the environment) would be a better strategy when high molecular weight (HMW) organic matter is scarce, and particularly when the HMW organic matter is very complex. We measured bacterial 3H-leucine incorporation (bacterial productivity) at different depths in the water column at multiple stations, in mesocosm experiments.

This dataset includes experiments for which bacterial productivity was measured: bulk water and mesocosm experiments, measurement of bacterial productivity from distinct depths in the water column, and measurement of bacterial productivity in mesocosm experiments of seawater with and without the addition of HMW organic matter, or in surface seawater with and without the addition of live sargassum plants at atmospheric and deep-sea pressures.

cdm_data_type = Other
VARIABLES:
deployment (unitless)
station (unitless)
latitude (degrees_north)
longitude (degrees_east)
... (22 more variables)


[EN683 LV and Bulk FLA Rates] - Polysaccharide hydrolysis rates from mesocosm and bulk water incubations from waters taken aboard the R/V Endeavor in the Western North Atlantic during the research cruise EN683 in May and June 2022 (Substrate structural complexity and abundance control distinct mechanisms of microbially-driven carbon cycling in the ocean)

Summary:
This dataset includes measurements of polysaccharide hydrolase activities in large volume mesocosm and bulk water incubations. Seawater was collected aboard R/V Endeavor during the research cruise EN683 (2022-05-24 to 2022-06-12). The potential of the seawater microbial community to hydrolyze six high-molecular-weight polysaccharides (arabinogalactan, chondroitin sulfate, fucoidan, laminarin, pullulan, and xylan) was investigated in the DCM and bottom water. Waters for bulk incubation were taken at three sites and various depths. Mesocosm incubations were taken at two sites and two depths.

This research tested the hypothesis that the mechanism of polysaccharide processing is related to the cost to a cell of producing the enzymes required for its hydrolysis, and the probability that a cell will receive sufficient return on investment for producing the enzymes. Our conceptual model suggests that external (extracellular) hydrolysis is favored when organic matter is abundant, or when enzyme production costs can be shared (e.g., on particles, in biofilms); selfish uptake (hydrolysis without production of low molecular weight products in the environment) would be a better strategy when high molecular weight (HMW) organic matter is scarce, and particularly when the available HMW organic matter is very complex.

Seawater was sampled from four depths at our initial station, and the deep chlorophyll maximum and bottom water from two subsequent stations differing in typical extent of primary productivity.

We incubated mesocosms of seawater from the deep chlorophyll maximum and from bottom water from two stations differing in typical extent of primary productivity. Organic matter availability was amended by adding high molecular weight organic matter (dissolved and particulate) from diatoms, or by adding the polysaccharide fucoidan, or by adding the polysaccharide arabinogalactan. Amendments were performed in triplicate mesocosms, while one mesocosm was left unamended for a total of ten mesocosms from each depth and station tested.

These data help test this model because they provide information about the activities of various external (extracellular) exo-acting and endo-acting hydrolases, all of which are used to hydrolyze high molecular weight organic matter.  Activities of these enzymes differed by station as well as by depth.

cdm_data_type = Other
VARIABLES:
deployment (unitless)
... (25 more variables)


[ENEN683_Monosaccharides_DOM_POM_LV] - Monosaccharide Composition of HMWDOM concentrate and POM-derived Carbohydrates from bulk seawater and mesocosm experiments taken aboard the R/V Endeavor in the Western North Atlantic during the research cruise EN683 in May and June, 2022 (Substrate structural complexity and abundance control distinct mechanisms of microbially-driven carbon cycling in the ocean)

Summary:
This research tested the hypothesis that the mechanism of polysaccharide processing is related to the cost to a cell of producing the enzymes required for its hydrolysis, and the probability that a cell will receive sufficient return on investment for producing the enzymes. Our conceptual model suggests that external (extracellular) hydrolysis is favored when organic matter is abundant, or when enzyme production costs can be shared (e.g., on particles, in biofilms); selfish uptake (hydrolysis without production of low molecular weight products in the environment) would be a better strategy when high molecular weight (HMW) organic matter is scarce, and particularly when the HMW organic matter is very complex. We know that a substantial fraction of HMW dissolved organic matter consists of carbohydrates, including neutral sugars, and that its concentration is lower in the deep ocean than in the upper mesopelagic/surface ocean (Benner & Amon 2015).

A key focus of this project's field work is investigating the potential of marine heterotrophic microbial communities from different water masses and under differing conditions of organic matter availability to hydrolyze six well characterized high-molecular-weight (HMW) polysaccharides (arabinogalactan, chondroitin sulfate, fucoidan, laminarin, pullulan, and xylan). To better contextualize this hydrolysis, bulk water characterization of the DCM and bottom waters used in our mesocosm incubation experiments was performed.

This dataset includes the measurement of monosaccharide composition of POM-derived carbohydrates from bulk seawater and mesocosm experiments taken aboard the R/V Endeavor in the Western North Atlantic during the research cruise EN683 in May and June, 2022.

cdm_data_type = Other
VARIABLES:
deployment (unitless)
station (unitless)
latitude (degrees_north)
longitude (degrees_east)
date (unitless)
time_unitless (Time, unitless)
time (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)
... (9 more variables)


[Environmental data FGB March 2023] - Water quality metrics collected from reef water in the Flower Garden Banks National Marine Sanctuary in Mar 2023 (Collaborative Research: RAPID: A multi-scale approach to predicting coral disease spread: leveraging an outbreak on coral-dense isolated reefs)

Summary:
These data include water quality metrics collected at a depth of around 20 meters in the Flower Garden Banks National Marine Sanctuary in March 2023. Measurements were taken in the West Flower Garden Banks near Buoy #5. Microbial cell abundances, total organic carbon concentrations, and total nitrogen concentrations were measured from water collected 2 m above the reefs. Understanding the physical and chemical properties of reef water is important for understanding the microbial conditions of coral reefs, which is important for understanding disease dynamics.

cdm_data_type = Other
VARIABLES:
Mission (unitless)
Site (unitless)
time (Sampling_datetime_utc, seconds since 1970-01-01T00:00:00Z)
depth_f (Sampling_depth_ft, feet)
depth (Sampling_depth_m, m)
Lab_ID_for_cell_abundances (unitless)
pro (cells/ml)
syn (cells/ml)
peuk (cells/ml)
hbact (cells/ml)
Lab_ID_for_TON_TOC (unitless)
npoc (uM)
tn (uM)


[Environmental Sensory Data] - Environmental, sensory data  (temperature, light intensity, salinity, pH, dissolved oxygen, depth) sampled in August 2019 in Carrie Bow Caye, Belize (Collaborative research: Is hybridization among threatened Caribbean coral species the key to their survival or the harbinger of their extinction?)

Summary:
Environmental, sensory data  (temperature, light intensity, salinity, pH, dissolved oxygen, depth) sampled in August 2019 in Carrie Bow Caye, Belize

cdm_data_type = Other
VARIABLES:
Site (unitless)
latitude (degrees_north)
longitude (degrees_east)
time (ISO Date Time Local, seconds since 1970-01-01T00:00:00Z)
ISO_DateTime_UTC (ISO Date Time UTC, unitless)
Temperature (degrees Celcius (°C))
Light_Intensity (lux (lx))
Instrument (unitless)
depth (m)
Salinity (Sea Water Practical Salinity, parts per thousand)
Dissolved_Oxygen (Volume Fraction Of Oxygen In Sea Water, milligram per liter (mg/l))
pH (Sea Water Ph Reported On Total Scale, molar concentrations of H ions)


[EPR 2019 Nutrients] - Dissolved nitrate plus nitrite, nitrite and phosphate from water column of the East Pacific Rise in April 2019 aboard the R/V Atlantis cruise AT42-09 (Collaborative Research: From hot to cold in the dark - shifts in seafloor massive sulfide microbial communities as physical and geochemical conditions change after venting ceases)

Summary:
These are dissolved inorganic nutrient concentrations from the eastern tropical north pacific ocean from the water column overlying the east pacific rise at 9°50'N 104°18.14'W  including samples in hypoxic water. The measured nutrients are nitrate plus nitrite, nitrite, and phosphate. Samples were collected through two casts, one each on April 9 2019 and April 13 2019 by Dr. Benjamin Tully aboard the RV Atlantis cruise AT 42-09. Samples were run by Chesapeake Bay Laboratory's Analytical services facility following EPA method 353.2 with analysis overseen by Jerry Frank. While the cruise primarily focused on the hydrothermal vent field below, our team focused on measurements of suspended particles in the water column and their microbial communities. These nutrient data supported this analysis. These data support a paper in review titled "Quantitative microbial taxonomy across particle size, depth, and oxygen concentration" lead by Paulina Huanca.

cdm_data_type = Other
VARIABLES:
Sample_ID (unitless)
depth (m)
latitude (degrees_north)
longitude (degrees_east)
Sample_Date (unitless)
Sample_Time (unitless)
time (Sample_iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)
Received_Date (unitless)
NO2 (milligrams per liter (mg N/L))
NO23 (milligrams per liter (mg N/L))
PO4 (milligrams per liter (mg P/L))
NO2_Flag (unitless)
NO23_Flag (unitless)
PO4_Flag (unitless)


[EPR 9-10 North Electron Microprobe Microprobe Elemental Maps] -  (Collaborative Research: From hot to cold in the dark - shifts in seafloor massive sulfide microbial communities as physical and geochemical conditions change after venting ceases)

Summary:
Electron microprobe elemental map data were collected for seafloor sulfide deposits. Seafloor sulfide mineral samples were collected from hydrothermally active chimneys and inactive off-axis massive sulfide deposits at East Pacific Rise (EPR) 9.50°N during 2019–2021 on cruises AT42-09, AT42-21, and RR2102. Samples were collected using the HOV Alvin or ROV Jason II. Samples were placed in a positive-pressure glove bag flushed with N₂(g), sparged with N₂, heat-sealed into Mylar bags containing AnaeroPaks, and stored at −20 °C.

Epoxy-embedded petrographic thin sections were prepared from these samples. Subsamples were dried for 24 hours under N₂(g), vacuum-embedded in epoxy resin (Struers EpoFix Resin, 1 L kit; Part #40200030) following the manufacturer's guidelines, and cured under N₂(g) for 24 hours. Each epoxy-embedded sample was pre-cut using a wafering saw and then sent to Spectrum Petrographics, Inc. (Washington, USA) for preparation as 30 µm thick, double-polished thin sections mounted on quartz slides, using methods designed to limit sample exposure to water and ambient air. When not in use, thin sections were stored under N₂(g) to limit oxidation. Thin sections were analyzed for electron microprobe elemental mapping using a JEOL JXA-8530FPlus Electron Probe Microanalyzer at the Electron Microprobe Laboratory, Earth and Environmental Sciences, Twin Cities, University of Minnesota.

cdm_data_type = Other
VARIABLES:
File_name (unitless)
Map_name (unitless)
Sample_name (unitless)
Element (unitless)
latitude (Latitude_dd, degrees_north)
longitude (Longitude_dd, degrees_east)
depth (Depth_mbs, m)
Heading_deg (degrees)
time (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)


[ETNP Iodine Speciation] - Iodine speciation measurements aboard R/V Roger Revelle and R/V Falkor in April and June 2018, respectively. (The role of cryptic nutrient cycling within sinking particles on trace element transport in oxygen minimum zones)

Summary:
Iodine speciation measurements aboard R/V Roger Revelle and R/V Falkor in April and June 2018, respectively.

cdm_data_type = Other
VARIABLES:
cruise_id (unitless)
Bottle (unitless)
Station (unitless)
depth (m)
Iodate (nanoMolar)
Iodide (nanoMolar)
Total_Iodine (nanoMolar)
Excess_Iodine (nanoMolar)
longitude (degrees_east)
latitude (degrees_north)
Date (unitless)
Time_UTC (unitless)
source_file (unitless)
time (ISO Date Time UTC, seconds since 1970-01-01T00:00:00Z)


[ETSP 2013 NO3 NO2 N2O] - Nitrate, nitrite, and nitrous oxide isotope measurements from the Eastern Tropical South Pacific ocean collected on RVIB Nathaniel B. Palmer cruise NBP1305 from June to July 2013 (Biogeochemistry of nitrous oxide cycling in the eastern tropical South Pacific)

Summary:
Nitrate, nitrite, and nitrous oxide isotope measurements from the Eastern Tropical South Pacific ocean collected on RVIB Nathaniel B. Palmer cruise NBP1305 from June to July 2013. The data in this dataset were published in Peters et al. (2018) and Casciotti et al. (2018).

cdm_data_type = Other
VARIABLES:
CTD_cast (unitless)
STN (unitless)
time (seconds since 1970-01-01T00:00:00Z)
depth (m)
PRESSURE (decibars)
latitude (degrees_north)
longitude (degrees_east)
TEMPERATURE (degrees C)
SALINITY (Sea Water Practical Salinity, PSU)
SIGMA_THETA (Sea Water Sigma Theta, kg/m3)
SBE_OXYGEN (umol/kg)
O2_SAT_mL_L (O2 SAT M L L, ml/L)
O2_SAT_umol_kg (umol/kg)
AOU (umol/kg)
NO3_sample_IDs (unitless)
sulfamic_treated (unitless)
d15N_NO3 (Mole Concentration Of Nitrate In Sea Water, per mil vs. N2)
d15N_NO3_sd (D15 N NO3 Sd, per mil)
d18O_NO3 (Mole Concentration Of Nitrate In Sea Water, per mil vs. VSMOW)
d18O_NO3_sd (D18 O NO3 Sd, per mil)
d15N_NO2 (Mole Concentration Of Nitrite In Sea Water, per mil vs. N2)
d15N_NO2_sd (D15 N NO2 Sd, per mil)
d18O_NO2 (Mole Concentration Of Nitrite In Sea Water, per mil vs. VSMOW)
d18O_NO2_sd (D18 O NO2 Sd, per mil)
N2O_sample_ID_1 (N2 O Sample ID 1, unitless)
... (21 more variables)


[Euphotic Zone] - Estimates of Euphotic Zone (EZ) depths from R/V Roger Revelle cruise RR2201 in the Eastern Indian Ocean (Argo Basin) from February to March 2022 (Collaborative Research: Mesoscale variability in nitrogen sources and food-web dynamics supporting larval southern bluefin tuna in the eastern Indian Ocean)

Summary:
This dataset contains estimates of Euphotic Zone (EZ) depths based on mean light extinction coefficients calculated from PAR sensor readings at 5 and 100 meters from cruise RR2201 on R/V Roger Revelle (BLOOFINZ-IO, January-March 2022) in the Argo Basin region off NW Australia.

cdm_data_type = Other
VARIABLES:
Cruise (unitless)
Event (unitless)
time (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)
latitude (degrees_north)
longitude (degrees_east)
Cycle_Day (unitless)
CTD_Cast (unitless)
PAR_5m (umoles of photons m-2 s-1)
PAR_100m (umoles of photons m-2 s-1)
Ext_Coeff (reciprocal meters (m-1))
EZ_1pcnt (meters (m))


[event log] - Scientific sampling event log from R/V Endeavor cruise EN524 along the continental shelf of New England in 2013 (OA, Hypoxia and Warming project) (Ocean Acidification, Hypoxia and Warming: Experimental Investigations into Compounded Effects of Global Change on Benthic Foraminifera)

Summary:
Scientific sampling event log from R/V Endeavor cruise EN524 along the continental shelf of New England in 2013.

cdm_data_type = Other
VARIABLES:
event (unitless)
sci_event (integer)
instrument (dimensionless)
action (dimensionless)
month_utc (unitless)
day_utc (unitless)
year (unitless)
time_utc (unitless)
time (ISO Date Time UTC, seconds since 1970-01-01T00:00:00Z)
station (dimensionless)
depth_w (Depth, meters)
depth (m)
latitude (degrees_north)
longitude (degrees_east)
author (dimensionless)
comment (dimensionless)


[event log] - Scientific sampling event log from R/V Knorr cruise KN207-03 in the North Atlantic (transect from Ponta Delgada, Azores to Reykjavik, Iceland) in 2012 (NA-VICE project) (Lipid lubrication of oceanic carbon and sulfur biogeochemistry via a host-virus chemical arms race)

Summary:
Scientific sampling event log from R/V Knorr cruise KN207-03 in the North Atlantic (transect from Ponta Delgada, Azores to Reykjavik, Iceland) in 2012. The scientific sampling event log was created using v1.0 of the Rolling Deck to Repository (R2R) event log application.

cdm_data_type = Other
VARIABLES:
event (unitless)
date_utc (unitless)
time_utc (HHMM)
instrument (text)
action (text)
transect (dimensionless)
station (dimensionless)
cast (dimensionless)
latitude (degrees_north)
longitude (degrees_east)
depth_w (Depth, meters)
author (text)
time (ISO Date Time UTC, seconds since 1970-01-01T00:00:00Z)
comment (text)


[Event logs: MCR10-1 and MCR11-1] - Scientific sampling event logs from two cruises/trips at the Richard B Gump Research Station at Moorea LTER in 2010 and 2011 (MCR LTER and Coral DOM projects) (Moorea Coral Reef Long-Term Ecological Research site)

Summary:
Scientific sampling event logs recorded during the MCR10-1 cruise/trip (the Coral DOM 2010 Research Campaign) and the MCR11-1 cruise/trip (the Coral DOM 2011 Research Campaign) at the Richard B Gump Research Station at the Moorea Coral Reef LTER site.

cdm_data_type = Other
VARIABLES:
cruiseid (dimensionless)
year (unitless)
latitude (degrees_north)
longitude (degrees_east)
event (dimensionless)
project_code (dimensionless)
site_ID (dimensionless)
activity (dimensionless)
sample_desig (dimensionless)
date_local (mm/dd/yy)
time_start_local (HHMM)
time_end_local (HHMM)
time (ISO Date Time Start UTC, seconds since 1970-01-01T00:00:00Z)
si (dimensionless)
comment (dimensionless)


[Event Logs] - Event logs from R/V Oceanus, R/V Endeavor cruises OC468-02, EN496, EN509, EN510 in the Gulf of Mexico; 2010-2012 (GoMX - N2 Fixation project) (Nitrogen fixation, nutrient supply and biological production in the Gulf of Mexico )

Summary:
Event logs from R/V Oceanus, R/V Endeavor cruises OC468-02, EN496, EN509, EN510 in the Gulf of Mexico; 2010-2012 (GoMX - N2 Fixation project)

cdm_data_type = Other
VARIABLES:
CruiseId (Cruise Id, text)
Op_Number (unitless)
Stn (dimensionless)
Evt (dimensionless)
Date_Local (unitless)
Time_Local (unitless)
time (ISO Date Time UTC, seconds since 1970-01-01T00:00:00Z)
Latitude_Deg_N (Latitude, whole degrees)
Latitude_Min_N (Latitude, decimal minutes)
Longitude_Deg_W (Longitude, whole degrees)
Longitude_Min_W (Longitude, decimal minutes)
latitude (degrees_north)
longitude (degrees_east)
Lease_Block (text)
Operation (text)
Seq_Number (dimensionless)
Notes (text)


[event logs] - Log of sampling events from R/V Point Sur cruises PS1009 and PS1103 in the Santa Barbara Channel from 2010-2011 (SBDOM project, SBC LTER project) (Mechanisms controlling the production and fate of DOM during diatom blooms)

Summary:
Log of events recorded during SBDOM deployments PS1009 (also known as SBDOM10) and PS1103 (SBDOM11).

cdm_data_type = Other
VARIABLES:
cruise_name (text)
cruise_id (text)
year (unitless)
event (unitless)
date_gmt (mm/dd/yy)
month_gmt (mm)
day_gmt (dd)
time_gmt (HHMM)
date_local (mm/dd/yy)
time_local (HHMM)
latitude (degrees_north)
longitude (degrees_east)
sta_id (text)
depth (m)
activity (text)
sample (dimensionless)
sample_type (text)
time (ISO Date Time UTC, seconds since 1970-01-01T00:00:00Z)
comment (text)


[EXPORTS NA nuts and TM field data] - Dissolved trace metal and macronutrient concentrations rom field samples collected during the EXPORTS North Atlantic campaign at the Porcupine Abyssal Plain-Sustained Observatory (PAP-SO) site on board the RRS Discovery (DY131) in May 2021 (Collaborative Research: Diatoms, Food Webs and Carbon Export - Leveraging NASA EXPORTS to Test the Role of Diatom Physiology in the Biological Carbon Pump)

Summary:
This dataset includes dissolved trace metal (manganese, iron, cobalt, nickel, copper, cadmium, zinc, lead) and macronutrient (nitrate+nitrite, phosphate, silicic acid, nitrite) concentration data from field samples collected during the EXPORTS North Atlantic campaign at the Porcupine Abyssal Plain-Sustained Observatory (PAP-SO) site on board the RRS Discovery (DY131). These data were primarily collected opportunistically during the course of water collection for incubation experiments (see separate dataset for incubations), and provide field context for the shipboard incubation experiments as well as temporal characterization of a retentive anticyclonic eddy occupied over the course of the cruise.

This research focuses on the vertical export of the carbon associated with a major group of phytoplankton, the diatoms in the North Atlantic near the Porcupine Abyssal Plain. The major objective is to understand how diatom community composition and the prevailing nutrient conditions create taxonomic differences in metabolic state that combine to direct diatom taxa to different carbon export pathways. The focus is on diatoms, given their large contribution to global marine primary productivity and carbon export which translates into a significant contribution to the biogeochemical cycling of carbon (C), nitrogen (N), phosphorus (P), iron (Fe) and silicon (Si). It is hypothesized that the type and degree of diatom physiological stress are vital aspects of ecosystem state that drive export. To test this hypothesis, combined investigator expertise in phytoplankton physiology, genomics, and trace element chemistry is used to assess the rates of nutrient use and the genetic composition and response of diatom communities, with measurements of silicon and iron stress to evaluate stress as a predictor of the path of diatom carbon export. The EXPORTS field campaign in the North Atlantic sampled a retentive eddy over nearly a month in May 2021, which coincided with the decline of the North Atlantic Spring Bloom.

cdm_data_type = Other
VARIABLES:
CRUISE_ID (unitless)
EVTNBR (unitless)
DATE_UTC (unitless)
TIME_UTC (unitless)
time (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)
... (90 more variables)


[Fe uptake rates] - Iron uptake rates from Hawaii Ocean Time-series (HOT) cruises on R/V Kilo Moana at Station ALOHA in the North Pacific Subtropical Gyre from May 2021 to September 2023 (Quantifying Iron Turnover in the Upper Ocean via Time-series Measurements at Station ALOHA)

Summary:
Iron (Fe) uptake rates were measured on Hawaii Ocean Time-series (HOT) cruises between May 2021 and September 2023. All samples were collected at Station ALOHA using a trace metal rosette. Fe uptake incubations were performed using seawater from the surface mixed layer (25 meters) following a low-level 57Fe-58Fe isotope double spike technique. Particulate and dissolved samples at the end of the 24-hour uptake experiment were analyzed by multi-collector inductively coupled plasma mass spectrometry at the University of Southern California using a Thermo Scientific Neptune mass spectrometer. This dataset is part of a larger study focused on the cycling of trace metals in the North Pacific Subtropical Gyre, and is embedded within the HOT program.

cdm_data_type = Other
VARIABLES:
Cruise (unitless)
DateTime_start_HST (unitless)
DateTime_end_HST (unitless)
time (Start_iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)
End_ISO_DateTime_UTC (seconds since 1970-01-01T00:00:00Z)
longitude (degrees_east)
latitude (degrees_north)
depth (m)
Replicate (unitless)
FeDS_turnover (days)
Fe_uptake_rate (picomolar per day (pM/d))


[Fear behavior with predators: Nucella] - Behavioral data of Nucella lamellosa in the presence of predators within laboratory mesocosms at Bodega Marine Lab in 2018 (Trophic consequences of ocean acidification: Intertidal sea star predators and their grazer prey)

Summary:
To examine the intensity of anti-predatory behavior of both Tegula funebralis and Nucella lamellosa, we measured the proportion of time individual snails spend above the waterline in the presence and absence of their predator species, Pisaster ochraceus and Cancer productus. Data from this experiment are used to calculate estimated predation rates for snails that do not behaviorally respond to their predators, which are used to determine the impact anti-predatory responses have on the strength of trophic cascades. The experiment was conducted within laboratory mesocosms at Bodega Marine Lab in 2018 and 2019.

This dataset reports results from mesocosms in this experiment with Nucella lamellosa in the presence of predator cues. See "Related Datasets" section for results from other mesocosms and experiments to be published in Ng & Gaylord (2025, in-prep).

cdm_data_type = Other
VARIABLES:
Day (days)
Date_local (unitless)
Time_local (unitless)
time (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)
Sump (unitless)
Container (unitless)
Container_past (unitless)
Indiv (unitless)
Induced (unitless)
Pisaster (unitless)
Pisaster_size (millimeters (mm))
Behavior (unitless)
Behavior_num (unitless)


[Fear behavior with predators: Tegula in the presence of Cancer crab cues] - Behavioral data of Tegula funebralis in the presence of predator Cancer productus within laboratory mesocosms at Bodega Marine Lab in 2018 (Trophic consequences of ocean acidification: Intertidal sea star predators and their grazer prey)

Summary:
To examine the intensity of anti-predatory behavior of both Tegula funebralis and Nucella lamellosa, we measured the proportion of time individual snails spend above the waterline in the presence and absence of their predator species, Pisaster ochraceus and Cancer productus. Data from this experiment are used to calculate estimated predation rates for snails that do not behaviorally respond to their predators, which are used to determine the impact anti-predatory responses have on the strength of trophic cascades. The experiment was conducted within laboratory mesocosms at Bodega Marine Lab in 2018 and 2019.

This dataset reports results from mesocosms in this experiment with Tegula funebralis in the presence of predator Cancer productus. See "Related Datasets" section for results from other mesocosms and experiments to be published in Ng & Gaylord (2025, in-prep).

cdm_data_type = Other
VARIABLES:
Day (days)
Date_local (unitless)
Time_local (unitless)
time (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)
Seatable (unitless)
Container (unitless)
Crab (unitless)
C_size (millimeters (mm))
Sex (unitless)
Out (unitless)
In (unitless)


[Fear behavior with predators: Tegula in the presence of Pisaster cues] - Behavioral data of Tegula funebralis in the presence of predator Pisaster ochraceus within laboratory mesocosms at Bodega Marine Lab in 2018 (Trophic consequences of ocean acidification: Intertidal sea star predators and their grazer prey)

Summary:
To examine the intensity of anti-predatory behavior of both Tegula funebralis and Nucella lamellosa, we measured the proportion of time individual snails spend above the waterline in the presence and absence of their predator species, Pisaster ochraceus and Cancer productus. Data from this experiment are used to calculate estimated predation rates for snails that do not behaviorally respond to their predators, which are used to determine the impact anti-predatory responses have on the strength of trophic cascades. The experiment was conducted within laboratory mesocosms at Bodega Marine Lab in 2018 and 2019.

This dataset reports results from mesocosms in this experiment with Tegula funebralis in the presence of predator Pisaster ochraceus. See "Related Datasets" section for results from other mesocosms and experiments to be published in Ng & Gaylord (2025, in-prep).

cdm_data_type = Other
VARIABLES:
Observation (unitless)
Date_local (unitless)
Time_local (unitless)
time (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)
Day (days)
Containers (unitless)
Pisaster (unitless)
Out (unitless)
In (unitless)


[Fear behavior with predators: tethered Nucella lamellosa in the presence of predator Pisaster ochraceus] - Predation data of tethered Nucella lamellosa in the presence of predator Pisaster ochraceus within laboratory mesocosms at Bodega Marine Lab in 2019 (Trophic consequences of ocean acidification: Intertidal sea star predators and their grazer prey)

Summary:
To examine the impacts of fear removal on the strength of trophic cascades, we measured predation rates on tethered and untethered Nucella lamellosa in the presence of Pisaster ochraceus. Data from these experiments were used to estimate predation rates on Nucella that did not display behavioral fear response. Similar predation trials were conducted with morphologically induced Nucella to estimate the effect of morphological defenses on predation rates. The experiment was conducted within laboratory mesocosms at Bodega Marine Lab in 2019.

cdm_data_type = Other
VARIABLES:
Day (days)
Date_local (unitless)
Time_local (unitless)
time (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)
Sump (unitless)
Container (unitless)
Container_past (unitless)
Indiv (unitless)
Induced (unitless)
Tethered (unitless)
Pisaster_size (millimeters (mm))
Individual (units)
Length (millimeters (mm))
Height (millimeters (mm))
Retraction (millimeters (mm))
Weight (grams (g))
Survival (unitless)
Eating (unitless)


[Fear behavior with predators: tethered Tegula funebralis in the presence of predator Cancer productus] - Predation data of tethered Tegula funebralis in the presence of predator Cancer productus within laboratory mesocosms at Bodega Marine Lab in 2018 (Trophic consequences of ocean acidification: Intertidal sea star predators and their grazer prey)

Summary:
To examine the impacts of fear removal on the strength of trophic cascades, we measured predation rates on tethered and untethered Tegula funebralis in the presence of Pisaster ochraceus and Cancer productus. Data from these experiments were used to estimate predation rates on Tegula that did not display a behavioral fear response. Additionally, we used two predator species of differing attack rates to examine how predator identity might influence the loss of fear in a trophic cascade. The experiment was conducted within laboratory mesocosms at Bodega Marine Lab in 2018.

This dataset reports the results for experiments with Cancer productus as the predator. See related dataset https://www.bco-dmo.org/node/959441 for results with predator Pisaster ochraceus.

cdm_data_type = Other
VARIABLES:
Date_local (unitless)
Day (days)
Time_local (unitless)
time (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)
Table (unitless)
Size (millimeters (mm))
Tethered (unitless)
Sex (unitless)
Containers (unitless)
Alive (unitless)
Alive_C (unitless)
Prop (unitless)


[Fear behavior with predators: tethered Tegula funebralis in the presence of predator Pisaster ochraceus] - Predation data of tethered Tegula funebralis in the presence of predator Pisaster ochraceus within laboratory mesocosms at Bodega Marine Lab in 2018 (Trophic consequences of ocean acidification: Intertidal sea star predators and their grazer prey)

Summary:
To examine the impacts of fear removal on the strength of trophic cascades, we measured predation rates on tethered and untethered Tegula funebralis in the presence of Pisaster ochraceus and Cancer productus. Data from these experiments were used to estimate predation rates on Tegula that did not display a behavioral fear response. Additionally, we used two predator species of differing attack rates to examine how predator identity might influence the loss of fear in a trophic cascade. The experiment was conducted within laboratory mesocosms at Bodega Marine Lab in 2018.

This dataset reports the results for experiments with Pisaster ochraceus as the predator. See related dataset https://www.bco-dmo.org/node/959435 for results with predator Cancer productus.

cdm_data_type = Other
VARIABLES:
Date_local (unitless)
Time_local (unitless)
time (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)
Observation (unitless)
Containers (unitless)
Tethered (unitless)
Snails_not_freed (unitless)
Total_number_of_snails (unitless)
Snails_Alive (unitless)
Cumu_snails_eaten (unitless)
Teth_snails_alive (unitless)
Snails_currently_being_consumed (unitless)
Snails_Eaten (unitless)
Seatable (unitless)
Pisaster (millimeters (mm))


[Fecal Pellet Production BATS 2021-2023] - Quantification of zooplankton fecal-pellet production by on-board incubation experiments during seven Bermuda Atlantic Time-series Study (BATS) cruises aboard the R/V Atlantic Explorer from Jul 2021 to Mar 2023 (Collaborative Research: Zooplankton mediation of particle formation in the Sargasso Sea)

Summary:
This dataset documents zooplankton fecal-pellet production, organismal traits, and zooplankton-mediated aggregation measured during seven Bermuda Atlantic Time-series Study (BATS) cruises (AE2112, AE2114, AE2124, AE2204, AE2214, AE2224, AE2306) aboard the R/V Atlantic Explorer between 2021-07-08 and 2023-03-26 in the Sargasso Sea near Bermuda. Zooplankton were collected from the upper 300 m using MOCNESS tows and incubated onboard in 12-hour experiments conducted during both day and night. Species-specific fecal-pellet production rates were quantified from these incubations across all six cruises and are reported in this dataset, along with experiment metadata (cruise identifiers, collection and incubation times, and notes) and taxonomic identification of zooplankton used in each incubation. Supplemental files provide individual fecal pellet morphometrics, classification, and summed pellet volumes (Fecal_Pellets.csv), and individual zooplankton biovolume and biomass estimates from post-incubation images (FPP_Zooplankton.csv).

Together with the related datasets, these datasets provide integrated measurements linking zooplankton identity, size, fecal-pellet production, pellet elemental composition, and aggregate formation, supporting process-based analyses of zooplankton roles in particle production and vertical carbon transfer at BATS. The data were collected aboard the R/V Atlantic Explorer through the collaborative efforts of the laboratories of Dr. Susanne Neuer, Dr. Amy Maas, and Dr. Leocadio Blanco-Bercial, affiliated with Arizona State University and the Bermuda Institute of Ocean Sciences.

cdm_data_type = Other
VARIABLES:
Date (unitless)
latitude (degrees_north)
longitude (degrees_east)
Cruise (unitless)
D_N (unitless)
Start_Time (unitless)
End_Time (unitless)
Total_Time (hours)
Hours (hours)
... (14 more variables)


[FeOA Profile Data] - Depth profile chlorophyll, macronutrient, trace metal, metal speciation, and carbon system data from FeOA project cruise SKQ202209S on the R/V Sikuliaq in the Northeast Pacific between June and July 2022 (Collaborative Research: The Effect of Ocean Acidification on Fe Availability to Phytoplankton in Coastal and Oceanic Waters of the Eastern North Pacific)

Summary:
This dataset includes the concentrations of dissolved inorganic macronutrients (phosphate, nitrate plus nitrite (N+N), silicic acid, and nitrite), chlorophyll a and phaeophytin, dissolved trace metals (iron, manganese, nickel, zinc, copper), and labile dissolved nickel, as well as pH and total alkalinity measurements, from discrete depth profile samples collected on the FeOA cruise SKQ202209S on R/V Sikuliaq in the Northeast Pacific from June to July 2022.

This project investigates the effects of ocean acidification on the associations between iron and organic ligands in seawater and on iron bioavailability to marine phytoplankton communities. The project used a combination of shipboard incubation experiments and depth profiles to characterize iron speciation and cycling across coastal upwelling, oligotrophic open ocean, and iron-limited subarctic oceanographic regimes in the NE Pacific. Surface seawater was incubated at pH of 8.1, 7.6, and 7.1 with natural iron and with dissolved iron amendments in order to investigate interactions between pH and iron bioavailability across the different regimes. Understanding how pH influences iron and its relationship with ligands provides important information for assessing the impacts of ocean acidification on primary production and biogeochemical processes.

cdm_data_type = Other
VARIABLES:
CRUISE_ID (unitless)
EVTNBR (unitless)
DATE_SHIP (unitless)
TIME_IN_SHIP (unitless)
TIME_OUT_SHIP (unitless)
time (In_iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)
OUT_ISO_DateTime_UTC (seconds since 1970-01-01T00:00:00Z)
latitude (degrees_north)
longitude (degrees_east)
PLATFORM (unitless)
CASTNBR (unitless)
STNNBR (unitless)
BTLNBR (unitless)
... (50 more variables)


[FHLOO] - Seawater data (2018-2024) recorded from the Friday Harbor Laboratories Ocean Observatory (FHLOO) (FSML: Instrumentation at UW Friday Harbor Laboratories for Studies of the Biological Impacts of Ocean Acidification and Ocean Change)

Summary:
The FHL Ocean Observatory (FHLOO) is a multi-sensor surface array in the San Juan Islands archipelago in the Salish Sea. Conditions in the Salish Sea region are subject to oceanic influences from the Northeast Pacific Ocean combined with freshwater input from the Pacific Northwest. This dynamic region is particularly vulnerable to ocean acidification events driven by elevated carbon dioxide concentration associated with ocean upwelling and is already experiencing pH ranges that other areas will not see for many decades. Data produced by this project may be of interest to chemical and biological oceanographers, and climate scientists interested in the role of biogeochemistry in the global/regional climate system. This dataset includes pH, pCO2, temperature, salinity, and dissolved oxygen data recorded from 2018-2024.

cdm_data_type = Other
VARIABLES:
time (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)
ISO_DateTime_Local (unitless)
Dox (micromoles O2 per kilogram (umol O2 kg-1))
OxSat (unitless (percent))
Sea_Temp_Oxygen (degrees Celsius)
pCO2 (microatmospheres (uatm))
Sea_Temp_pCO2 (degrees Celsius)
Sea_pH (seawater pH units (total hydrogen scale))
Sea_Temp_pH (degrees Celsius)
Sea_Temp_SBE (degrees Celsius)
Sal (psu)
latitude (degrees_north)
longitude (degrees_east)


[Field domoic acid and copepods] - Domoic acid assimilation in copepods by consuming organic polymers and Pseudo-nitzschia from experiments conducted using water samples collected in northern Gulf of Mexico in 2017 and 2018. (The biotic and abiotic controls on the Silicon cycle in the northern Gulf of Mexico)

Summary:
Domoic acid assimilation in copepods by consuming organic polymers and Pseudo-nitzschia. Results from experiments designed to investigate the contribution of organic polymers and Pseudo-nitzschia to domoic acid trophic transfer.  Water samples were collected in the northern Gulf of Mexico in 2017 and 2018.

cdm_data_type = Other
VARIABLES:
time (ISO Date Time UTC, seconds since 1970-01-01T00:00:00Z)
latitude (degrees_north)
longitude (degrees_east)
Date (unitless)
time2 (Time, unitless)
Experiment (unitless)
Treatment (unitless)
Replicate_bottle (unitless)
dDA_conc (D DA Conc, micrograms (µg) per liter (L))
pDAa_conc (P DAa Conc, nanograms (ng) per liter (L))
Cell_tox (picograms (pg) per cell)
Pnitz_density (cells per liter)
DA_cop_indiv (picograms (pg) per copepod)


[Field Sampling: Hydrologic data] - Hydrologic data from field sampling sites in the Neuse River Estuary, Pamlico Sound, and Onslow Bay in the coastal North Atlantic offshore from North Carolina (USA) in 2021 and 2022 (Collaborative Research: Vitamin B1 Limitation and Advantageous Use of B1-related Compounds by Marine Bacterioplankton)

Summary:
This dataset contains hydrologic data from field sampling sites in the coastal North Atlantic, offshore from North Carolina, USA, during 2021 and 2022.

Study description:
This study collected physical, chemical, and biological parameters measured from field sampling locations within the Neuse River Estuary the Neuse River Estuary (NRE180), Pamlico Sound (PS), and Onslow Bay (OB1). Measurements were made from near-surface waters (0.5m). See "Related Datasets" section for data from coordinated sampling efforts. Vitamin B1 amendment bottle experiments were conducted using the sample surface water, as well as collections for metagenomes and transcriptomes. Water was collected by N. Curtis and A. Zhou with the assistance of the UNC-IMS MODMON staff.

cdm_data_type = Other
VARIABLES:
Station (unitless)
Trip_Code (unitless)
Site (unitless)
latitude (degrees_north)
longitude (degrees_east)
Date (unitless)
YSI_Time (unitless)
time (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)
YSI_Depth (m)
YSI_Temp (degrees Celsius)
YSI_SpecCond (milliSiemens per centimeter (mS/cm))
YSI_Salinity (parts per thousand (ppt))
YSI_Dosat (percent (%))
YSI_DO (milligrams per liter (mg/L))
YSI_pH (unitless)
YSI_Turbidity (Nephelometric Turbidity Unit (NTU))
Correct_Chla_IV (micrograms per liter (ug/L))
... (20 more variables)


[FieldData_FidalgoBay_July2017] - Water quality data and Olympia oyster abundance counts from depth-specific sampling collected by boat in Fidalgo Bay, WA, during July 2017 (RUI: Will climate change cause 'lazy larvae'? Effects of climate stressors on larval behavior and dispersal)

Summary:
This dataset reports water quality data and Olympia oyster abundance counts from depth-specific sampling collected by boat 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:
time (ISO Date Time UTC, seconds since 1970-01-01T00:00:00Z)
date_local (unitless)
time_local (unitless)
tide_category (unitless)
profile (unitless)
depth_seafloor_m (Depth, meters)
depth_sample_m (Depth, meters)
depth_cat (Depth, unitless)
current_velocity_m_s (meters per second)
chla_ug_L (Concentration Of Chlorophyll In Sea Water, micrograms per liter seawater)
temp_c (degrees Celcius)
salinity (Sea Water Practical Salinity, PSU)
wind_anemometer_m_s (meters per second)
oyster_larvae_100L (Oyster Larvae 100 L, larvae per 100-Liters seawater)
oyster_larvae_m3 (larvae per cubic meter)


[Florida Straights 2015 MOC1 Larval Fish Counts] - Counts of larval fishes collected by a 1m2 Multiple Opening Closing Net and Environmental Sampling System (MOCNESS; MOC1) in a subtropical, pelagic environment from R/V F.G. Walton Smith cruise WS15161 in June 2015 (Spatial variability of larval fish in relation to their prey and predator fields: Patterns and interactions from cm to 10s of km in a subtropical, pelagic environment)

Summary:
Counts of larval fishes collected by a 1m2 Multiple Opening Closing Net and Environmental Sampling System (MOCNESS; MOC1) in a subtropical, pelagic environment from R/V F.G. Walton Smith cruise WS15161 in June 2015.

cdm_data_type = Other
VARIABLES:
cruise_name (unitless)
cruise_id (unitless)
study (unitless)
station (unitless)
tow_type (unitless)
net (unitless)
date (unitless)
time_open (unitless)
time_closed (unitless)
depth_open (Depth, meters (m))
depth_close (Depth, meters (m))
tow_vol (cubic meters (m^3))
larval_fish_count (unitless)
latitude (degrees_north)
longitude (degrees_east)
lat_end (Latitude, decimal degrees)
lon_end (Longitude, decimal degrees)
time (ISO Date Time Start UTC, seconds since 1970-01-01T00:00:00Z)


[flow cytometry] - Direct counts (flow cytometry) on microbes obtained by Niskin bottle and pressure-retaining sampler from the Leggo Lander on R/V Falkor cruise FK141215 in the Challenger Deep, Mariana Trench in December 2014 (Patterns of Microbial Community Structure Within and Between Hadal Environments)

Summary:
Direct counts (flow cytometry) on the microbes obtained in the Leggo drop 1 Niskin bottle and the Leg drop 1 pressure-retaining sampler.

cdm_data_type = Other
VARIABLES:
drop_name (unitless)
cells_per_mL (Cells Per M L, cells/mL)
time (ISO Date Time Deploy, seconds since 1970-01-01T00:00:00Z)
ISO_DateTime_recover (ISO Date Time Recover, unitless)
latitude (degrees_north)
longitude (degrees_east)


[Flow Cytometry] - Flow cytometry data from samples collected from Orcas Island, WA, USA Coastal Ocean (2m depth) every four hours from 2021-05-28 to 2021-06-18 (Collaborative Research: Rhythm and Blooms: Deciphering metabolic, functional and taxonomic interactions over the life cycle of a phytoplankton bloom)

Summary:
This dataset contains Flow cytometry on samples collected from Orcas Island, WA, USA Coastal Ocean (2m depth) every four hours from 5/28/21 to 6/18/21 collected as part of the following study.

Study abstract

Floating, single-celled algae, or phytoplankton, form the base of marine food webs. When phytoplankton have sufficient nutrients to grow quickly and generate dense populations, known as blooms, they influence productivity of the entire food web, including rich coastal fisheries. The present research explores how the environment (nutrients) as well as physical and chemical interactions between individual cells in a phytoplankton community and their associated bacteria act to control the timing of bloom events in a dynamic coastal ecosystem. The work reveals key biomolecules within the base of the food web that can inform food web functioning (including fisheries) and be used in global computational models that forecast the impacts of phytoplankton activities on global carbon cycling. A unique set of samples and data collected in 2021 and 2022 that captured phytoplankton and bacterial communities before, during, and after phytoplankton blooms, is analyzed using genomic methods and the results are used to interrogate these communities for biomolecules associated with blooms stages. The team mentors undergraduates, graduate students, and postdoctoral researchers in the fields of biochemical oceanography, genome sciences, and time-series multivariate statistics. University of Washington organized hackathons to develop publicly accessible portals for the simplified interrogation and visualization of omics data, accessible to high schoolers and undergraduates. These portals are implemented in investigator-led undergraduate teaching modules in the University of Rhode Island Ocean Classroom. The research team also returns to Orcas Island, WA, where the field sampling takes place, to host a series of annual Science Weekends to foster scientific engagement with the local community.
Phytoplankton blooms, from initiation to decline, play vital roles in biogeochemical cycling by fueling primary production, influencing nutrient availability, impacting carbon sequestration in aquatic ecosystems, and supporting secondary production. In addition to influences from environmental conditions, the physical and chemical interactions among planktonic microbes can significantly modulate blooms, influencing the growth, maintenance, and senescence of phytoplankton. Recent work in steady-state open ocean ecosystems has shown that important chemicals are transferred amongst plankton on time-dependent metabolic schedules that are related to diel cycles. It is unknown how these metabolic schedules operate in dynamic coastal environments that experience perturbations, such as phytoplankton blooms. Here, the investigators are examining metabolic scheduling using long-term, diel sample sets to reveal how chemical and biological signals associated with the initiation, maintenance, and cessation of phytoplankton blooms are modulated on both short (hours) and long (days-weeks) time scales. Findings are advancing the ability to predict and manage phytoplankton dynamics, providing crucial insights into ecological stability and future oceanographic sampling strategies. Additionally, outcomes of this study are providing a new foundational understanding of the succession of microbial communities and their chemical interactions across a range of timescales. In the long term, this research has the potential to identify predictors of the timing of phytoplankton blooms, optimize fisheries management, and guide future research on carbon sequestration.

cdm_data_type = Other
VARIABLES:
Day (days)
... (25 more variables)


[Foram EBSD datafiles] - Crystal orientation in subantarctic planktic foraminifera shells from EBSD analysis from collections in the sub-Antarctic south of South Africa between 1993 and 2016 (OCE-PRF: A submicron scale investigation of foraminifera-bound organic matter: implications for preservation and the paleo-δ15N proxy)

Summary:
Here we present crystal orientation maps from the shells of planktic foraminifera, calcifying marine protists (G. inflata and G. truncatulinoides), from the Subantarctic ocean (net-tows) and underlying surface sediments (core-tops). The goal was to investigate post-mortem alteration of shells that might affect paleo-proxy interpretation (i.e., diagenesis). Living specimens were collected by S. Smart on VOY016 (Jul–Aug 2015) and VOY019 (Apr–May 2016) of the R/V S.A. Agulhas II in the Subantarctic south of South Africa (Smart et al., 2020). The core-top sample (PS2489-4; from 42.883 °S, 8.968 °E, water depth 3795 m) was collected on ANT-XI/2 of the R/V Polarstern in December 1993 (Gersonde et al., 2003), and access was provided by the Alfred Wegener Institute (AWI) and Max Planck Institute for Chemistry (MPIC), Germany. Shells were mounted in epoxy, cross-sectioned and thinly gold-coated for Scanning Electron Microscopy-Electron Backscatter Diffraction (SEM-EBSD) analysis by S. Smart at the Central Analytical Facility of The University of Alabama, USA, between 2021 and 2024. A. Pérez-Huerta provided EBSD training and mentoring, J. Goodwin and R. Holler provided technical support, and H. Stowell and S.E. Fawcett assisted with interpretation.

cdm_data_type = Other
VARIABLES:
Folder_name (unitless)
File_name (unitless)
Site (unitless)
cruise_id (unitless)
latitude (degrees_north)
longitude (degrees_east)
time (Datetime_start_gmt, seconds since 1970-01-01T00:00:00Z)
DateTime_End_GMT (seconds since 1970-01-01T00:00:00Z)
depth (m)
Species (unitless)
Specimen (unitless)
Type (unitless)
Chamber (unitless)
Phase (unitless)
... (14 more variables)


[Friday Harbor Labs - Weather Station Data] - Weather Station data from University of Washington Friday Harbor Laboratories, Friday Harbor WA, Cantilever Point from 2006 to 2024 (The effects of temperature on ecological processes in a rocky intertidal community: a mechanistic approach )

Summary:
This dataset includes parameters measured by a weather station at the University of Washington Friday Harbor Laboratories, Friday Harbor WA, Cantilever Point from 2006 to 2024.

cdm_data_type = Other
VARIABLES:
Platform_ID (unitless)
latitude (degrees_north)
longitude (degrees_east)
Year (unitless)
time (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)
ISO_DateTime_PST (unitless)
Date_PST (unitless)
Time_PST (unitless)
Air_Temp (degrees Celsius)
RH (percent (%))
Rad_PAR (micromoles per square meter per second (?mol m-2 s-1))
Rad_Energy (watts per square meter (W m-2))
Rad_tot (watts per square meter (W m-2))
Rain (millimeters (mm))
Wind_speed (meters per second (m s-1))
Wind_direction (degrees (relative to true N))
Wind_Chill (degrees Celsius)


[Gastropod counts by species collected from inactive sulfides on the East Pacific Rise] - Gastropod counts by species collected from inactive sulfides on the East Pacific Rise during R/V Robert Revelle cruise RR2102 in April 2021 and R/V Atlantis cruise AT50-06 in December 2022 (RUI: Collaborative: The Predictive Nature of Microbial Biofilms for Cuing Larval Settlement at Deep-Sea Hydrothermal Vents)

Summary:
This dataset provides counts by species for gastropods collected mainly from rock grabs at two inactive sulfide mounds (Lucky's Mound and Sentry Spire) near 9°47'N on the East Pacific Rise. Sampling was conducted on dives with HOV Alvin during R/V Atlantis cruise AT50-06 in December 2022 and with ROV Jason during R/V Robert Revelle cruise RR2102 in April 2021. Specimens were preserved in ethanol or fixed in formalin. Gastropods were identified morphologically to species (with genetic sequences obtained for a subset); two of the species were new to science as described by Chen et al. (2024). Counts are not comprehensive thus cannot be used for quantitative analyses. This dataset is provided in a single compiled table formatted as a Darwin Core Occurrence table for provision to the Ocean Biodiversity Information System.

cdm_data_type = Other
VARIABLES:
occurrenceID (unitless)
kingdom (unitless)
verbatimIdentification (unitless)
scientificName (unitless)
scientificNameID (unitless)
taxonRank (unitless)
identifiedBy (unitless)
identificationRemarks (unitless)
individualCount (integer count)
associatedSequences (unitless)
otherCatalogNumbers (unitless)
occurrenceStatus (unitless)
basisOfRecord (unitless)
verbatimLabel (unitless)
occurrenceRemarks (unitless)
eventID (unitless)
time (Eventdate, seconds since 1970-01-01T00:00:00Z)
locality (unitless)
latitude (Decimallatitude, degrees_north)
... (7 more variables)


[Geltrap micrographs] - Images of particles collected in sediment traps for quantitative analysis from multiple platforms from 2016-2017 (Collaborative Research: EAGER: Particle-specific DNA sequencing to directly observe ecological mechanisms of the biological pump)

Summary:
Images of particles collected in sediment traps for quantitative analysis from multiple platforms from 2016-2017

cdm_data_type = Other
VARIABLES:
Cruise (unitless)
Trap_Platform (unitless)
Additional_Trap_Label (unitless)
Depth (meters)
Deployment_Duration_days (days)
latitude (degrees_north)
longitude (degrees_east)
Deploy_Date_UTC (unitless)
Deploy_Time_UTC (unitless)
Recover_Latitude (Latitude, decimal degrees)
Recover_Longitude (Longitude, decimal degrees)
Recover_Date_UTC (unitless)
Recover_Time_UTC (unitless)
time (Deploy Date Time, seconds since 1970-01-01T00:00:00Z)
recover_date_time (unitless)


[Glider observations from the southern Ross Sea] - Observations from two gliders deployed in the southern Ross Sea from November 2022 through January 2023 (NSFGEO-NERC: Collaborative Research – P2P: Predators to Plankton — Biophysical Controls in Antarctic Polynyas)

Summary:
Two gliders were launched in the southern Ross Sea and recorded data from November 2022 through January 2023 as part of the Plankton to Predators project. Sensors on the gliders included temperature, salinity, oxygen, fluorescence, optical backscatter and active acoustics; one glider had a photosynthetically active radiation (PAR) sensor and an passive acoustic monitoring sensor. From these data we quantified chlorophyll and particulate organic carbon concentrations, and also an estimate of krill and small fish (those data are not included in this submission). Data were decimated to 3-meter intervals for ease in analysis. The spatial extent of the glider observations ranged from 169.5–172.3°W and 77.4–76.4°S.

cdm_data_type = Other
VARIABLES:
Seaglider (unitless)
Dive (unitless)
latitude (degrees_north)
longitude (degrees_east)
Matlab_Time (unitless)
time (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)
depth (m)
Temperature (degrees Celsius)
Salinity (parts per thousand (ppt))
Backscatter_470nm (arbitrary units)
Backscatter_700nm (arbitrary units)
Fluorescence (arbitrary units)
Oxygen (micromoles per liter)
Oxygen_Saturation (micromoles per liter)
DACu (unitless)
DaCv (unitless)
PAR (uEin/m2/s)


[GN01 Arctic GEOTRACES Bottle Particles] - Trace element concentrations (labile and total measurements) in particles collected with GO-Flo bottles and analyzed with ICP-MS from the US GEOTRACES Arctic cruise (HLY1502; GN01) from August to October 2015 (U.S. Arctic GEOTRACES Study)

Summary:
Trace element concentrations in particles collected with GO-Flo bottles and analyzed with ICP-MS. Concentrations of labile and total metal fractions are reported. Samples were collected during the U.S. Arctic GEOTRACES cruise aboard USCGC Healy (GN01; HLY1502) from August to October 2015.

cdm_data_type = Other
VARIABLES:
cruise_id (unitless)
EXPOCODE (unitless)
SECT_ID (unitless)
STNNBR (unitless)
CASTNO (unitless)
GEOTRC_EVENTNO (unitless)
DATE (unitless)
time2 (TIME, unitless)
time (ISO Date Time UTC, seconds since 1970-01-01T00:00:00Z)
latitude (degrees_north)
longitude (degrees_east)
SAMPNO (unitless)
BTLNBR (unitless)
BTL_FLAG_ODU (unitless)
CTDPRS (decibars)
depth (CTDDEPTH, m)
Station (unitless)
GEOTRC_SAMPNO (unitless)
Mo_TP_CONC_BOTTLE (pmol/kg)
Mo_TP_CONC_BOTTLE_FLAG (unitless)
Cd_TP_CONC_BOTTLE (pmol/kg)
Cd_TP_CONC_BOTTLE_FLAG (unitless)
Ba_TP_CONC_BOTTLE (pmol/kg)
Ba_TP_CONC_BOTTLE_FLAG (unitless)
Al_TP_CONC_BOTTLE (nmol/kg)
... (57 more variables)


[GN01 CTD - GTC Bottle] - Bottle data from the GEOTRACES Clean Carousel sampling system (GTC) on the Arctic Section cruise (HLY1502) from August to October 2015 (U.S. GEOTRACES Arctic project) (U.S. Arctic GEOTRACES Study)

Summary:
Bottle data from the GEOTRACES Clean Carousel sampling system (GTC) on the Arctic Section cruise (HLY1502) from August to October 2015.

cdm_data_type = Other
VARIABLES:
cruise_id (unitless)
EXPOCODE (unitless)
SECT_ID (unitless)
STNNBR (unitless)
CASTNO (unitless)
GEOTRC_EVENTNO (unitless)
DATE (unitless)
time2 (TIME, unitless)
time (ISO Date Time UTC, seconds since 1970-01-01T00:00:00Z)
latitude (degrees_north)
longitude (degrees_east)
GEOTRC_SAMPNO (unitless)
SAMPNO (unitless)
BTLNBR (unitless)
BTLNBR_FLAG_W (unitless)
CTDPRS (decibars)
depth (CTDDEPTH, m)
CTDTMP (degrees celsius)
CTDSAL (PSS-78)
CTDSAL_FLAG_W (unitless)
SALNTY (PSS-78)
SALNTY_FLAG_W (unitless)
SALTREF (Sea Water Practical Salinity, G/KG)
SALTREF_FLAG_W (unitless)
CTDOXY (UMOL/KG)
CTDOXY_FLAG_W (unitless)
... (31 more variables)


[GN01 CTD - GTC Profiles] - CTD-GTC profiles from GEOTRACES-Arctic Section cruise HLY1502 in 2015 (U.S. GEOTRACES Arctic project) (U.S. Arctic GEOTRACES Study)

Summary:
CTD-GTC profiles from GEOTRACES-Arctic Section cruise HLY1502 in 2015

cdm_data_type = Other
VARIABLES:
cruise_id (text)
EXPOCODE (text)
SECT_ID (text)
GEOTRC_EVENTNO (dimensionless)
STNNBR (dimensionless)
CASTNO (dimensionless)
DATE (unitless)
time2 (TIME, HHMM)
time (ISO Date Time UTC, seconds since 1970-01-01T00:00:00Z)
latitude (degrees_north)
longitude (degrees_east)
BTMDEPTH (meters)
INSTRUMENT_ID (dimensionless)
CTDPRS (DBARS)
CTDPRS_FLAG_W (dimensionless)
CTDTMP (degrees celsius)
CTDTMP_FLAG_W (dimensionless)
CTDSAL (PSS-78)
CTDSAL_FLAG_W (dimensionless)
CTDOXY (UMOL/KG)
CTDOXY_FLAG_W (dimensionless)
TRANSM (volts)
TRANSM_FLAG_W (dimensionless)
FLUORM (volts)
FLUORM_FLAG_W (dimensionless)
DEPTH (meters)
DEPTH_FLAG_W (Depth, unitless)
CTDNOBS (dimensionless)
CTDETIME (SECONDS)


[GN01 CTD - ODF Bottle] - Bottle data from the CTD-ODF carousel on the GEOTRACES Arctic Section cruise (HLY1502) from August to October 2015 (U.S. GEOTRACES Arctic project) (U.S. Arctic GEOTRACES Study)

Summary:
Bottle data from the CTD-ODF carousel on the GEOTRACES Arctic Section cruise (HLY1502) from August to October 2015.

cdm_data_type = Other
VARIABLES:
cruise_id (unitless)
EXPOCODE (unitless)
SECT_ID (unitless)
STNNBR (unitless)
CASTNO (unitless)
GEOTRC_EVENTNO (unitless)
DATE (unitless)
time2 (TIME, unitless)
time (ISO Date Time UTC, seconds since 1970-01-01T00:00:00Z)
latitude (degrees_north)
longitude (degrees_east)
GEOTRC_SAMPNO (unitless)
SAMPNO (unitless)
BTLNBR (unitless)
BTLNBR_FLAG_W (unitless)
DEPTH (meters (corrected))
CTDPRS (decibars)
depth (CTDDEPTH, m)
CTDTMP (degrees Celsius)
CTDSAL (PSS-78)
CTDSAL_FLAG_W (unitless)
SALNTY (PSS-78)
SALNTY_FLAG_W (unitless)
SALTREF (Sea Water Practical Salinity, G/KG)
SALTREF_FLAG_W (unitless)
CTDOXY (UMOL/KG)
... (34 more variables)


[GN01 Dissolved and Labile Cobalt] - Dissolved and labile cobalt from the USCGC Healy HLY1502 in the Canada and Makarov Basins of the Arctic Ocean from August to October 2015 (U.S. GEOTRACES Arctic project) (U.S. Arctic GEOTRACES Study)

Summary:
Dissolved and labile cobalt from the USCGC Healy HLY1502 in the Canada and Makarov Basins of the Arctic Ocean from August to October 2015 (U.S. GEOTRACES Arctic project).

cdm_data_type = Other
VARIABLES:
Station_ID (unitless)
Start_Date_UTC (unitless)
Start_Time_UTC (unitless)
time (Start ISO Date Time UTC, seconds since 1970-01-01T00:00:00Z)
End_Date_UTC (unitless)
End_Time_UTC (unitless)
End_ISO_DateTime_UTC (End ISO Date Time UTC, unitless)
latitude (degrees_north)
longitude (degrees_east)
End_Latitude (Latitude, decimal degrees North)
End_Longitude (Longitude, decimal degrees East)
Event_ID (unitless)
Sample_ID (unitless)
depth (Sample Depth, m)
Co_D_CONC_BOTTLE_iojqqp (picomoles per liter (pmol/L))
SD1_Co_D_CONC_BOTTLE_iojqqp (picomoles per liter (pmol/L))
Flag_Co_D_CONC_BOTTLE_iojqqp (unitless)
Co_DL_CONC_BOTTLE_8zqltr (picomoles per liter (pmol/L))
SD1_Co_DL_CONC_BOTTLE_8zqltr (picomoles per liter (pmol/L))
Flag_Co_DL_CONC_BOTTLE_8zqltr (unitless)
Co_D_CONC_BOAT_PUMP_cs8ogw (picomoles per liter (pmol/L))
SD1_Co_D_CONC_BOAT_PUMP_cs8ogw (picomoles per liter (pmol/L))
Flag_Co_D_CONC_BOAT_PUMP_cs8ogw (unitless)
Co_DL_CONC_BOAT_PUMP_lthdda (picomoles per liter (pmol/L))
SD1_Co_DL_CONC_BOAT_PUMP_lthdda (picomoles per liter (pmol/L))
Flag_Co_DL_CONC_BOAT_PUMP_lthdda (unitless)


[GN01 Dissolved Fe(II)] - Dissolved Fe(II) from the southbound leg of the US GEOTRACES Arctic cruise (HLY1502) on USCGC Healy from August to October 2015 (U.S. Arctic GEOTRACES Study)

Summary:
Dissolved Fe(II) concentrations were determined using an automated flow injection analysis system (FeLume II Waterville Analytical) employing a luminol chemiluminescence based detection system as described in King et al. (1995) and Heller et al. (2017).\r\n\r\nFrom published and ongoing work in the Peru and Chile oxygen minimum zones an optimized methodology for Fe(II) detection by luminol has been described in Croot et al. (2019). This work details some of the challenges and limitations of using luminol for dFe(II) detection. It should be noted that as Fe(II) is a transient redox species with a short half life in oxygenated seawater that is dependent on dissolved oxygen and pH, it is not possible to archive (preserve) samples for later analysis. Intercalibrations for Fe(II) have yet to be conducted in the context of GEOTRACES studies and should be pursued where logistically possible.

cdm_data_type = Other
VARIABLES:
Station_ID (unitless)
Start_Date_UTC (unitless)
time (Start Time UTC, seconds since 1970-01-01T00:00:00Z)
End_Date_UTC (unitless)
End_Time_UTC (unitless)
latitude (degrees_north)
longitude (degrees_east)
End_Latitude (Latitude, degrees North)
End_Longitude (Longitude, degrees East)
Event_ID (unitless)
Sample_ID (unitless)
depth (Sample Depth, m)
Fe_II_D_CONC_BOTTLE_07ordp (nanomoles per kilogram (nmol/kg))
SD1_Fe_II_D_CONC_BOTTLE_07ordp (nanomoles per kilogram (nmol/kg))
Flag_Fe_II_D_CONC_BOTTLE_07ordp (unitless)
Fe_II_D_CONC_ICE (nanomoles per kilogram (nmol/kg))
SD1_Fe_II_D_CONC_ICE (nanomoles per kilogram (nmol/kg))
Flag_Fe_II_D_CONC_ICE (unitless)
... (5 more variables)


[GN01 Dissolved Methane (CH₄)] - Dissolved methane (CH₄) concentrations from the U.S. GEOTRACES Arctic cruise (HLY1502; GN01) on USCGC Healy from August to October 2015 (U.S. Arctic GEOTRACES Study (GN01))

Summary:
This dataset reports dissolved methane (CH₄) concentrations from the US GEOTRACES Arctic Expedition on USCGC Healy (GN01, HLY1502) from August to October 2015. Seawater samples were collected using the ODF rosette. Both GEOTRACES samples and GO-SHIP samples from the same cruise were analyzed. Methane was analyzed using cavity ringdown spectroscopy to determine its concentration in an equilibrated headspace. Arctic waters are a possibly significant source of this Greenhouse Gas to the atmosphere and global change is likely exacerbating its release. Methane is also a potentially valuable indicator of interactions with the shelf as well as of river inputs. Dissolved methane concentrations in this section were highest over the continental shelves and slope, which supports our understanding of the major sources of methane (i.e., from microbes in oxygen-limited sediments, from gas seeps, and from gas-hydrates).

cdm_data_type = Other
VARIABLES:
Station_ID (unitless)
Event_ID (unitless)
Start_Date_UTC (unitless)
Start_Time_UTC (unitless)
time (Start_iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)
latitude (Start_latitude, degrees_north)
longitude (Start_longitude, degrees_east)
Rosette_Position (unitless)
Sample_ID (unitless)
depth (Sample_depth, m)
CH4_D_CONC_BOTTLE_fiwgyy (nanomoles per kilogram (nmol/kg))
SD1_CH4_D_CONC_BOTTLE_fiwgyy (nanomoles per kilogram (nmol/kg))
Flag_CH4_D_CONC_BOTTLE_fiwgyy (unitless)