[d15N - HPLC Method Glu and Phe 15N values] - N isotopic composition of Phenylalanine and Glutamic Acid from a number of organisms, demonstrating new HPLC protocol for precise isotopic measurements (The Use of Nitrogen Isotopes of Amino Acids To Understand Marine Sedimentary 15N Records)

Summary:
N isotopic composition of Phenylalanine and Glutamic Acid from a number of organisms, demonstrating new HPLC protocol for precise isotopic measurements.

cdm_data_type = Other
VARIABLES:
sample (unitless)
Glu_d15N_GCC (Glu D15 N GCC, per mil)
Glu_d15N_GCC_stdev (Glu D15 N GCC Stdev, per mil)
Phe_d15N_GCC (Phe D15 N GCC, per mil)
Phe_d15N_GCC_stdev (Phe D15 N GCC Stdev, per mil)
TP_GCC (unitless)
Glu_d15N_HPLC (Glu D15 N HPLC, per mil)
Glu_d15N_HPLC_stdev (Glu D15 N HPLC Stdev, per mil)
Phe_d15N_HPLC (Phe D15 N HPLC, per mil)
Phe_d15N_HPLC_stdev (Phe D15 N HPLC Stdev, per mil)
TP_HPLC (unitless)
d15N_EA (D15 N EA, permil (‰))
d15N_EA_stdev (D15 N EA Stdev, permil (‰))


[d15N of PON from Net Tows] - d15N of size-fractionated particulate organic nitrogen (PON) from net tows in the Sargasso Sea at BATS and Hydro Station S (Understanding the nitrogen isotopes of planktonic foraminifera: A modern Sargasso Sea study)

Summary:
d15N of size-fractionated particulate organic nitrogen (PON) from net tows in the Sargasso Sea (off Bermuda) in the western subtropical North Atlantic. Net tow samples from 0-200 m at BATS (31\u00b040\u2019N, 64\u00b010\u2019W) and Hydro Station S (32\u00b010\u2019N, 64\u00b034\u2019W).

cdm_data_type = Other
VARIABLES:
cruise (unitless)
date (unitless)
depth (m)
size_fraction (micrometers (um))
d15N_AVG (D15 N AVG, per mil)
d15N_stdev (D15 N Stdev, per mil)
num_measurements (unitless)


[d15N of PON from Sediment Traps] - d15N of size-fractionated particulate organic nitrogen (PON) from sediment traps in the Sargasso Sea (Understanding the nitrogen isotopes of planktonic foraminifera: A modern Sargasso Sea study)

Summary:
d15N of size-fractionated particulate organic nitrogen (PON) from sediment traps n the Sargasso Sea (off Bermuda) in the western subtropical North Atlantic. Sediment traps from 500 m, 1500 m, and 3200 m water depth (31\u00b050\u2019N, 64\u00b010\u2019W).

cdm_data_type = Other
VARIABLES:
mid_collection_date (unitless)
bulk_d15N_500m (Bulk D15 N 500m, per mil)
bulk_d15N_1500m (Bulk D15 N 1500m, per mil)
bulk_d15N_3200m (Bulk D15 N 3200m, per mil)


[daily_PAR] - Integrated daily Photosynthetically Available Radiation (PAR) data from RVIB Nathaniel B. Palmer cruises NBP0103, NBP0104, NBP0202, and NBP0204 in the Southern Ocean from 2001-2002 (SOGLOBEC project) (U.S. GLOBEC Southern Ocean)

Summary:
Integrated daily Photosynthetically Available Radiation (PAR) data from RVIB Nathaniel B. Palmer cruises NBP0103, NBP0104, NBP0202, and NBP0204 in the Southern Ocean from 2001-2002 (SOGLOBEC project)

cdm_data_type = Other
VARIABLES:
year
yrday_gmt (YYY)
length_day (HH.H)
latitude (degrees_north)
longitude (degrees_east)
par_d_day (uE/cm2/day)
par_scalar_day (uE/cm2/day)


[Damariscotta River mysids, zooplankton, and environmental variables] - Abundance of mysid shrimp and zooplankton along with environmental variables from surveys in Damariscotta River estuary, Maine from June 2023 to Feb 2024 (Collaborative Research: Characterizing benthic mysid ecology and animal-fluid interactions in response to background flow, food, and light conditions)

Summary:
Mysid shrimp are small crustaceans that are of particular importance in estuaries due to their role in nutrient subsidies and their importance in the diet of juvenile fishes. Despite their importance, they are typically undersampled relative to other zooplankton taxa. High abundances of Neomysis americana have been documented in the Damariscotta River estuary (DRE), Maine in late summer. While their summer abundance and small-scale diel migration behavior has been well described in the DRE, details about their basic ecology, life history, and reproduction in the DRE across seasons remains unknown. The purpose of this survey is to describe the seasonal abundance and population structure of N. americana in relation to environmental parameters and zooplankton-prey abundance. The survey was conducted every two weeks beginning in May of 2023 through October 2023 with monthly sampling being completed from November 2023 through May 2024. Mysid and zooplankton samples were collected from the dock at the Darling Marine Center These data files include environmental measurements made with a YSI sonde. Sonde-measured parameters include temperature, salinity, chlorophyll-a, and turbidity. These data files also include density and biomass information for zooplankton and mysid shrimp.

cdm_data_type = Other
VARIABLES:
Date (unitless)
time_local (Time, unitless)
time (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)
Site (unitless)
latitude (degrees_north)
longitude (degrees_east)
Max_Depth (units)
Temp (degrees Celsius)
Salinity (PSU (practical salinity units))
Turbidity (NTU (nephelometric turbidity units))
Chlorophyll (microgram per liter (ug/L))
Zooplankton_biomass (milligrams per cubic meter (mg/m3))
Mysid_density (individuals per cubic meter (#/m3))


[Damselfish Energetics] - Damselfish energetics from multiple shallow reef sites in the Caribbean between June 2016-2019 (Beyond Cleaning and Symbiosis: Ecology of 'Ticks of the Sea' on Coral Reefs)

Summary:
Food webs are a complex array of trophic interactions. With a heavy emphasis on "classic" predator-prey interactions, most studies of trophic dynamics completely omitted parasitic interactions. However, recent work has shown that parasites contribute significantly to many aspects of trophic structure. In the current study, I have estimated the biomass transfer by parasites and predators from members of the genus Stegastes from multiple sites in the Caribbean. These results show that most of the parasite-driven biomass transfer comes from ectoparasitic gnathiid isopods. Moreover, I have found that predation rates are high for juveniles and decrease as they become adults, while the opposite is true for parasitism. Despite this, more biomass is being transferred from adults than younger stages via both predation and parasitism. I also show that in coral reef ecosystems, parasitism can transfer more biomass than predation for adult Stegastes. These results highlight the contribution of parasites to energy flow in coral reef environments and suggest that they must be considered in future food web studies.

cdm_data_type = Other
VARIABLES:
id (unitless)
site (unitless)
island (unitless)
latitude (degrees_north)
longitude (degrees_east)
stage (unitless)
species (unitless)
seg (unitless)
block (unitless)
starttime (unitless)
endtime (unitless)
p1 (unitless)
p2 (unitless)
p3 (unitless)
ptotal (unitless)
length (centimeters (cm))
... (9 more variables)


[damselfish response to lionfish] - Observations of damselfish (Stegastes planifrons) behavior in the presence of lionfish and other native fishes at Lee Stocking Island, Bahamas and Little Cayman Island in 2011 (Lionfish Invasion project) (Ecological Release and Resistance at Sea: Invasion of Atlantic Coral Reefs by Pacific Lionfish)

Summary:
A field study was conducted to determine whether territorial aggression from three-spot damselfish (Stegastes planifrons) could limit local populations of invasive lionfish. The investigators observed damselfish behavior in the presence of lionfish relative to when other native fishes were present.

cdm_data_type = Other
VARIABLES:
treatment (text)
site (text)
latitude (degrees_north)
longitude (degrees_east)
location (text)
damselfish_tot_len (cm)
num_attacks_1m (integer)
num_attacks_half_m (integer)
num_attacks_0m (integer)
max_attack_dist (meters)
depth_ft (Depth, feet)
habitat (text)
date (unitless)


[Data from fish genotyped at 14 and 20 loci] - Data from fish genotyped at 14 and 20 loci at different life stages in the Belizean Barrier Reef in 2013. (An Integrative Investigation of Population Connectivity Using a Coral Reef Fish)

Summary:
Data from fish genotyped at 14 and 20 loci at different life stages in the Belizean Barrier Reef in 2013.

cdm_data_type = Other
VARIABLES:
individual_id (unitless)
year (unitless)
loci (unitless)
life_stage (unitless)
tetB_25745 (Tet B 25745, count)
tetB_25745_2 (Tet B 25745 2, count)
tetB_29109 (Tet B 29109, count)
tetB_29109_2 (Tet B 29109 2, count)
triB_1419 (Tri B 1419, count)
triB_1419_2 (Tri B 1419 2, count)
triG_18144 (Tri G 18144, count)
triG_18144_2 (Tri G 18144 2, count)
tetG_985 (Tet G 985, count)
tetG_985_2 (Tet G 985 2, count)
tetY_6326 (Tet Y 6326, count)
tetY_6326_2 (Tet Y 6326 2, count)
tetR_25632 (Tet R 25632, count)
tetR_25632_2 (Tet R 25632 2, count)
tetB_6231 (Tet B 6231, count)
tetB_6231_2 (Tet B 6231 2, count)
triB_23889 (Tri B 23889, count)
triB_23889_2 (Tri B 23889 2, count)
triG_25362 (Tri G 25362, count)
triG_25362_2 (Tri G 25362 2, count)
triG_21378 (Tri G 21378, count)
triG_21378_2 (Tri G 21378 2, count)
... (18 more variables)


[Data Set 1A: Partitioning of carbon as a function of pCO2 and temperature during growth of Thalassiosira weissflogii] - 1A: Partitioning of carbon as a function of pCO2 and temperature during growth of Thalassiosira weissflogii from UCSB Marine Science Institute Passow Lab from 2009 to 2010 (OA - Effects of High CO2 project) (Will high CO2 conditions affect production, partitioning and fate of organic matter?)

Summary:
Experiments with the diatom Thalassiosira weissflogii (CCMP 1336) on the impact of temperature and carbonate chemistry on carbon uptake and partitioning into particulate and dissolved organic matter.\r\n\r\nExperiments were conducted in March and May 2013 in Santa Barbara California, in the Passow lab.\r\nTreatments: multifactorial analysis with 2 temperature treatments (15C, 20C) and two ocean acidification treatments (400 and 1000 micro-atm).\r\n\r\nDaily sampling after the light cycle (14/10) was completed.

cdm_data_type = Other
VARIABLES:
Lab_Id (text)
latitude (degrees_north)
longitude (degrees_east)
Temp (Temperature, Degrees C)
pCO2 (P CO2, micro atm)
replicate (dimensionless)
sampling (dimensionless)
pH_at_25C (P H At 25 C, total scale)
DIC (micro mol C L-1)
fluorescence ((tbd))
NO3 (Mole Concentration Of Nitrate In Sea Water, micro mol N L-1)
PO4 (Mass Concentration Of Phosphate In Sea Water, micro mol P L-1)
Si (Mass Concentration Of Silicate In Sea Water, micro mol Si L-1)
POC (Particulate Organic Carbon, micro mol C L-1)
PON (micro mol N L-1)
DOC (micro mol C L-1)
DON (micro mol N L-1)
TEP (GXEQ L-1)
bacteria_production (pmol leucine L-1 hr-1)


[Data Set 1B: Bioavailability of dissolved organic carbon produced by Thalassiosira weissflogii grown under different pCO2 and temperature conditions - Experiment OA5] - 1B: Bioavailability of dissolved organic carbon produced by Thalassiosira weissflogii grown under different pCO2 and temperature conditions from UCSB Marine Science Institute Passow Lab from 2009 to 2010 (OA - Effects of High CO2 project) (Will high CO2 conditions affect production, partitioning and fate of organic matter?)

Summary:
Bioavailability of dissolved organic carbon produced by Thalassiosira weissflogii grown under different pCO2 and temperature conditions from UCSB Marine Science Institute Passow Lab from 2009 to 2010.

cdm_data_type = Other
VARIABLES:
Lab_Id (text)
latitude (degrees_north)
longitude (degrees_east)
Bottle_Num (dimensionless)
Temp (Temperature, degrees C)
pCO2 (P CO2, ppm)
days_post_nut_depletion (days)
DOC_T0_0 (uM C)
DOC_T2_70point5 (uM C)
DOC_T7_195 (uM C)
DOC_T10_284 (uM C)
DOC_TF_968point5 (uM C)
FCM_T0_0 (cells/ml)
FCM_T1_45 (cells/ml)
FCM_T2_70point5 (cells/ml)
FCM_T3_97point5 (cells/ml)
FCM_T4_117 (cells/ml)
FCM_T5_142pont5 (cells/ml)
FCM_T6_169point5 (cells/ml)


[Data Set 2B: Bioavailability of dissolved organic carbon produced by Dactyliosolen fragilissimus grown under different pCO2 and temperature condition - Experiment OA6] - 2B: Bioavailability of dissolved organic carbon produced by Dactyliosolen fragilissimus grown under different pCO2 and temperature condition from UCSB Marine Science Institute Passow Lab from 2009 to 2010 (OA - Effects of High CO2 project) (Will high CO2 conditions affect production, partitioning and fate of organic matter?)

Summary:
Bioavailability of dissolved organic carbon produced by Dactyliosolen fragilissimus grown under different pCO2 and temperature condition from UCSB Marine Science Institute Passow Lab from 2009 to 2010.

cdm_data_type = Other
VARIABLES:
Lab_Id (text)
latitude (degrees_north)
longitude (degrees_east)
Bottle_Num (dimensionless)
Temp (Temperature, degrees C)
pCO2 (P CO2, ppm)
days_post_nut_depletion (days)
DOC_T0_0 (uM C)
DOC_T0_0_St_dev (uM C)
DOC_T3_73point5 (uM C)
DOC_T3_73point5_St_dev (uM C)
DOC_T8_196point25 (uM C)
DOC_T8_196point25_St_dev (uM C)
DOC_Tx_600 (uM C)
DOC_Tx_600_St_dev (uM C)


[Data Set 3A: Utilization of dissolved organic carbon by a natural bacterial community as a function of pCO2] - 3A: Removal of organic carbon by natural bacterioplankton communities as a function of pCO2 from laboratory experiments between 2012 and 2016 (Will high CO2 conditions affect production, partitioning and fate of organic matter?)

Summary:
Factors that affect the removal of organic carbon by heterotrophic bacterioplankton can impact the rate and magnitude of organic carbon loss in the ocean through the conversion of a portion of consumed organic carbon to CO2. Through enhanced rates of consumption, surface bacterioplankton communities can also reduce the amount of dissolved organic carbon (DOC) available for export from the surface ocean. The present study investigated the direct effects of elevated pCO2 on bacterioplankton removal of several forms of DOC ranging from glucose to complex phytoplankton exudate and lysate, and naturally occurring DOC. Elevated pCO2 (1000 \u2013 1500 ppm) enhanced both the rate and magnitude of organic carbon removal by bacterioplankton communities compared to low (pre-industrial and ambient) pCO2 (250 \u2013 ~400 ppm). The increased removal was largely due to enhanced respiration, rather than enhanced production of bacterioplankton biomass.

cdm_data_type = Other
VARIABLES:
experiment (unitless)
site (unitless)
latitude (degrees_north)
longitude (degrees_east)
bottle_number (unitless)
doc_addition (unitless)
target_pCO2 (Target P CO2, parts per million (ppm))
time_point (unitless)
time_days (unitless)
date (unitless)
bact_abun_x10e6_avg (cells per milliliter)
bact_abun_x10e6_stderr (cells per milliliter)
bact_abun_x10e6_stdev (cells per milliliter)
toc_avg (micromoles per liter (uM))
toc_stderr (micromoles per liter (uM))
toc_stdev (micromoles per liter (uM))


[dataset8- Oxynoe sequence data] - Molecular species delimitation and gene flow in Oxynoe (PLDvFST project) (Quantifying larval behavior to reconcile genetic connectivity with biophysical model predictions)

Summary:
Molecular species delimitation and gene flow in Oxynoe (PLDvFST project)

cdm_data_type = Other
VARIABLES:
species (unitless)
isolate_code (unitless)
specimen_accession_numbers (unitless)
collection_site (unitless)
date (unitless)
collector (unitless)
accession_COI (unitless)
accession_16S (Accession 16 S, unitless)
accession_H3 (unitless)


[Deep convection simulation using MITgcm] - Deep convection simulation from the MITgcm (MIT General Circulation Model) (IVOMLS project) (Interannual variability of oxygen and macro-nutrients in the Labrador Sea)

Summary:
This dataset includes deep convection simulation output from the MITgcm (MIT
General Circulation Model). The data include profiles under different
situations in an idealized domain. \u00a0The experiment was based
on\u00a0winter Labrador Sea\u00a0conditions.

Model output\u00a0is\u00a0available to download as MATLAB .mat files by
clicking the \Get Data\ link. \u00a0Each file includes the output of one run
covering 90 days.
 * Contents of .mat files described in
\u00a0[mat_file_variables.csv](\\http://dmoserv3.whoi.edu/data_docs/IVOMLS/MITgcm/mat_file_variables.csv\\)

cdm_data_type = Other
VARIABLES:
experiment_name (unitless)
experiment_type (unitless)
comment (unitless)
filesize (unitless)
file_download_link (unitless)


[Deep-DOM Metaproteome] - Sample information for metaproteomic samples taken from Station 2 from R/V Knorr KN210-04 in the Western Atlantic Ocean between Uruguay and Barbados from March 2013 (Dissolved Organic Matter Composition in the Deep Atlantic Ocean)

Summary:
This dataset includes metadata from metaproteomic samples collected at Station 2 during the R/V Knorr Cruise KN210-04 in the Western Atlantic Ocean between Uruguay and Barbados in 2013. The accompanying total spectral counts for proteins and peptides from these samples are available on the PRoteomics IDEentifications Database (PRIDE) under Project PXD034035.

cdm_data_type = Other
VARIABLES:
sample_id (unitless)
ms_ms_sample_name (unitless)
station_id (unitless)
depth (Depth_m, m)
latitude_dd (degrees_north)
longitude (Longitude_dd, degrees_east)
date_ISO (unitless)
time_h_m_s (unitless)
minimum_filter_size_microns (microns)
maximum_filter_size_microns (microns)
cruise_id (unitless)
event_number (unitless)
time (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)


[Delaware Bay ACOE Salinity Data] - Salinity data collected by the Army Corps of Engineers (ACOE) from near-bottom sondes placed in oyster beds in the Delaware Bay from 2012 to 2018 (SEGO project) (Collaborative Research: Spatial analysis of genetic differences in salinity tolerance resulting from rapid natural selection in estuarine oysters)

Summary:
The data in this dataset was originally collected by the Army Corps of Engineers (ACOE) and was curated for use in the Selection along Estuarine Gradients in Oysters (SEGO) project. Quoting Howlader (2022): “This dataset was collected in response to the deepening of the Delaware River navigational channel. The dataset has continuous near-bottom (1 m off the bottom) measurements of temperature and specific conductivity taken every 30 minutes at the five oyster bed stations from July-December in 2012-2015 and 2018 using a YSI series 6600EDS V2 data sondes (Bromilow & Wong 2018; Bushek et al. 2014, 2015, 2016). Data sondes were swapped once per month. The depth of water at the monitoring stations were 5-8 meters (Bushek et al. 2014, 2015, 2016).” The dataset includes salinity values expressed alongside corresponding datetime (UTC/GMT), station name, latitude, and longitude. The data was curated by removing anomalous values, shifting the data by the tidal basis to align it with data from Reed Point.

cdm_data_type = Other
VARIABLES:
time (Datetime, seconds since 1970-01-01T00:00:00Z)
Salinity (psu)
Station (unitless)
latitude (degrees_north)
longitude (degrees_east)


[Delaware Bay Oyster Samples] - Delaware Bay oyster archived tissues (SeaGo project) (Collaborative Research: Spatial analysis of genetic differences in salinity tolerance resulting from rapid natural selection in estuarine oysters)

Summary:
The Selection along Estuarine Gradients in Oysters (SEGO) project is a collaborative NSF-funded effort to measure and understand the dynamics of short term adaptive change at small spatial scale. We focused on eastern oysters as an example of a common marine life history – high fecundity, complex life cycle with early larval dispersal, and sedentary (sessile for oysters) life after larval settlement.

The data assembled in “NSF oyster tissues BCO-DMO” are collections made over three years for two types of genomic analysis: (1) annual adult samples collected along the axis of the Delaware Bay estuary to capture a gradient in potentially stressful low salinities, (2) adult samples collected from mid-bay for experimental low-salinity challenge experiments, and (3) spat and broodstock collected for low salinity challenge experiments directly on wild spat or on larval progeny of broodstock collected from low vs. moderate salinity, respectively. Transect adults were collected by dredge in 2018, 2019 and 2021 from the same 5 subset of sites, each year, that the Rutgers Haskin lab consistently monitors every year to manage the oyster fishery. By piggy backing on the Haskin monitoring effort, the SEGO project has benefited from the long term data and deep understanding that Rutgers scientists have built about the Delaware Bay oyster population. 2021 was an exception because oyster juveniles (spat) were found at three additional sites and collected and analyzed. Two replicate challenge experiments on adults were accomplished in 2019 and 2020 using similar-size oysters collected from the highest oyster density part of the Delaware Bay population where environmental variation seems to generate the least mortality. Full details on the challenge experiments, and genomic comparison of survivors vs. nonsurvivors, is being prepared for publication.

The analytical context involved low salinity challenge experiments on wild collected spat in 2020 – those methods and results are in press in Journal of Shellfish Research. Finally, broodstock collected in low vs. moderate salinity regions of the estuary were spawned to conduct a low salinity challenge experiment on their larvae, but larval performance and survival was too low for meaningful results.

cdm_data_type = Other
VARIABLES:
Date (unitless)
... (17 more variables)


[Delta Nitrification Study - GenBank Accession Numbers] - GenBank accession numbers for ammonia oxidizer genes collected on the R/V Endeavor (SQO-Delta) in the San Francisco Bay Delta during September and October 2007. (Spatial and Temporal Dynamics of Nitrogen-Cycling Microbial Communities Across Physicochemical Gradients in the San Francisco Bay Estuary)

Summary:
GenBank accession numbers for ammonia oxidizer genes collected on the R/V Endeavor (SQO-Delta) in the San Francisco Bay Delta during September and October 2007.

cdm_data_type = Other
VARIABLES:
gene (unitless)
station (unitless)
latitude (degrees_north)
longitude (degrees_east)
organism (unitless)
accession_numbers (unitless)


[Delta Nitrification Study - Potential Nitrification Rates] - Potential nitrification rates and ammonia oxidizer gene abundances collected on R/V Endeavor (SQO-Delta) in the San Francisco Bay Delta during September and October 2007 (Spatial and Temporal Dynamics of Nitrogen-Cycling Microbial Communities Across Physicochemical Gradients in the San Francisco Bay Estuary)

Summary:
Potential nitrification rates and ammonia oxidizer gene abundances collected on R/V Endeavor (SQO-Delta) in the San Francisco Bay Delta during September and October 2007

cdm_data_type = Other
VARIABLES:
date (unitless)
station (unitless)
latitude (degrees_north)
longitude (degrees_east)
AOA_amoA (AOA Amo A, genes g -1 of wet sediment)
AOB_amoA (AOB Amo A, genes g -1 of wet sediment)
log_AOAtoAOB (Log AOAto AOB, dimensionless)
NO2 (Mole Concentration Of Nitrite In Sea Water, micromoles)
NO3 (Mole Concentration Of Nitrate In Sea Water, micromoles)
NH4 (Mole Concentration Of Ammonium In Sea Water, micromoles)
nitrification (nmol NOx g-1 h-1)


[delta_O_18] - Oxygen Isotope data from 37 R/V Albatross IV, R/V Endeavor, R/V Oceanus, and R/V Parizeau (Canadian) cruises in the Gulf of Maine and Georges Bank, the Gulf of St. Lawrence and Scotian Shelf from 1994-1999 (GB project) (U.S. GLOBEC Georges Bank)

Summary:
Oxygen Isotope data from 37 R/V Albatross IV, R/V Endeavor, R/V Oceanus, and R/V Parizeau (Canadian) cruises in the Gulf of Maine and Georges Bank, the Gulf of St. Lawrence and Scotian Shelf from 1994-1999 (GB project)

cdm_data_type = Other
VARIABLES:
cruiseid
year
month_begin
day_begin
month_end
day_end
si
location
event
station_std
latitude (degrees_north)
longitude (degrees_east)
cast
bottle
delta_O_18
temp (Temperature, degrees centigrade)
sal
flvolt (volts)
trans_v (volts)
cond_mM (Cond M M, milliMhos/centimeter)
depth_w (Depth, meters)
depth (m)
diff_delta_O_18
comments


[Demography of coral in the future] - Demography of coral in the future and various physical parameter predictions. (The ecophysiological basis of the response of coral larvae and early life history stages to global climate change)

Summary:
Demography of coral in the future and various physical parameter predictions.

cdm_data_type = Other
VARIABLES:
Simulation (unitless)
Year (count)
colony_density_stocastic1 (Reference: percent survival; Temperature: Celsius; pCO2: Pa; Metapopulation: count)
colony_density_stocastic2 (Reference: percent survival; Temperature: Celsius; pCO2: Pa; Metapopulation: count)
colony_density_stocastic3 (Reference: percent survival; Temperature: Celsius; pCO2: Pa; Metapopulation: count)
colony_density_stocastic4 (Reference: percent survival; Temperature: Celsius; pCO2: Pa; Metapopulation: count)
colony_density_stocastic5 (Reference: percent survival; Temperature: Celsius; pCO2: Pa; Metapopulation: count)
colony_density_stocastic6 (Reference: percent survival; Temperature: Celsius; pCO2: Pa; Metapopulation: count)
colony_density_stocastic7 (Reference: percent survival; Temperature: Celsius; pCO2: Pa; Metapopulation: count)
colony_density_stocastic8 (Reference: percent survival; Temperature: Celsius; pCO2: Pa; Metapopulation: count)
colony_density_stocastic9 (Reference: percent survival; Temperature: Celsius; pCO2: Pa; Metapopulation: count)
colony_density_stocastic10 (Reference: percent survival; Temperature: Celsius; pCO2: Pa; Metapopulation: count)
colony_density_deterministic11 (Reference: percent survival; Temperature: Celsius; pCO2: Pa; Metapopulation: count)


[Dendraster_Beh_OA_Expt2017] - Experimental counts and locations within columns of depth-varying pH to investigate the behavioral effects of ocean acidification on sand dollar larvae (Dendraster excentricus), July 2017 (RUI: Will climate change cause 'lazy larvae'? Effects of climate stressors on larval behavior and dispersal)

Summary:
Data collected from a laboratory water column experiment to investigate the behavioral effects of ocean acidification on sand dollar larvae (Dendraster excentricus).

cdm_data_type = Other
VARIABLES:
date (unitless)
larvae_stage (unitless)
larvae_treatment (unitless)
column_treatment (unitless)
column_name (unitless)
count_id (unitless)
height_cm (centimeters)
middepth_cm (centimeters)
larvae_count (# of larvae)
proportion_larvae (unitless)


[Dendraster_Characters_OA_Expt2017] - Body characteristic measurements of sand dollar larvae (Dendraster excentricus) reared in different pCO2 conditions, July 2017 (RUI: Will climate change cause 'lazy larvae'? Effects of climate stressors on larval behavior and dispersal)

Summary:
This dataset includes body characteristic measurements of sand dollar larvae (Dendraster excentricus) reared in different pCO2 conditions as part of a laboratory experiment to investigate the behavioral effects of ocean acidification on this species in July 2017.

cdm_data_type = Other
VARIABLES:
Date (unitless)
rearing_condition (unitless)
jar_replicate (unitless)
PO_1 (micrometers (um))
PO_2 (micrometers (um))
AL_1 (micrometers (um))
AL_2 (micrometers (um))
Body_ML (micrometers (um))
BW (micrometers (um))
PD_1 (micrometers (um))
PD_2 (micrometers (um))
Stomach (micrometers (um))


[Dendraster_Grazing_OA_Expt2017] - Experimental grazing rates of sand dollar larvae (Dendraster excentricus) on algae (Dunaliella tertiolecta) under different ocean acidification conditions, July 2017 (RUI: Will climate change cause 'lazy larvae'? Effects of climate stressors on larval behavior and dispersal)

Summary:
Experimental grazing rates of sand dollar larvae (Dendraster excentricus) on algae (Dunaliella tertiolecta) under different ocean acidification conditions, July 2017.

cdm_data_type = Other
VARIABLES:
temp_c (degrees Celcius)
pH (unitless)
jar_type (unitless)
replicate (unitless)
count (unitless)
cells (algae cells)
squares (squares)
cell_concentration (algae cells per milliliter (#/mL))


[Dendraster_pH_OA_Expt2017] - pH measurements from larval rearing jars used in an experiment on behavioral effects of ocean acidification on sand dollar larvae (Dendraster excentricus), July 2017 (RUI: Will climate change cause 'lazy larvae'? Effects of climate stressors on larval behavior and dispersal)

Summary:
This datasets includes pH data measures from larval rearing jars as part of a laboratory experiment to investigate the behavioral effects of ocean acidification on sand dollar larvae (Dendraster excentricus) in July 2017.

cdm_data_type = Other
VARIABLES:
date (unitless)
larvae_stage (unitless)
larvae_treatment (unitless)
column_treatment (unitless)
column_name (unitless)
column_depth_cat (unitless)
column_depth_cm (centimeters (cm))
pH (Sea Water Ph Reported On Total Scale, standard pH units)


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

Summary:
Denitrification and DNRA data from Little Lagoon, Alabama collected from 2012-2013

cdm_data_type = Other
VARIABLES:
Year (unitless)
Value_Description (unitless)
Date (unitless)
East (umol N m-2 hr-1;  umol N m-2 d-1;  mmol NH4+ m-2 d-1)
East_SE (umol N m-2 hr-1;  umol N m-2 d-1;  mmol NH4+ m-2 d-1)
Mouth (umol N m-2 hr-1;  umol N m-2 d-1;  mmol NH4+ m-2 d-1)
Mouth_SE (umol N m-2 hr-1;  umol N m-2 d-1;  mmol NH4+ m-2 d-1)
West (umol N m-2 hr-1;  umol N m-2 d-1;  mmol NH4+ m-2 d-1)
West_SE (umol N m-2 hr-1;  umol N m-2 d-1;  mmol NH4+ m-2 d-1)


[Denitrification and nitrogen fixation] - Potential denitrification and N2 fixation from slurry assays from Little Lagoon, Alabama collected from 2012-2013 (Groundwater Discharge, Benthic Coupling and Microalgal Community Structure in a Shallow Coastal Lagoon)

Summary:
Potential denitrification and N2 fixation from slurry assays from Little Lagoon, Alabama collected from 2012-2013

cdm_data_type = Other
VARIABLES:
Year (unitless)
Date (unitless)
Value_Description (unitless)
Mouth (nanomol of nitrogen per gram per hour)
Mouth_SE (nanomol of nitrogen per gram per hour)
West (nanomol of nitrogen per gram per hour)
West_SE (nanomol of nitrogen per gram per hour)
East (nanomol of nitrogen per gram per hour)
East_SE (nanomol of nitrogen per gram per hour)


[Density] - Blue mussel (Mytilus edulis) density data from surveys conducted in coastal eastern Maine from 2014 to 2017 (MuLTI-2 project) (An integrated theoretical and empirical approach to across-shelf mixing and connectivity of mussel populations)

Summary:
Blue mussel (Mytilus edulis) density data from surveys conducted in coastal eastern Maine from 2014 to 2017.

cdm_data_type = Other
VARIABLES:
Year (unitless)
Sample_Date (unitless)
Sampling_Event (unitless)
Station_Code (unitless)
Bed_Designation (unitless)
Substrate_Type (unitless)
SubArea (Sub Area, unitless)
Transect (unitless)
Count (unitless)


[Deployment history of sensors] - Deployment history of sensors recording dissolved oxygen from Massachusetts from 2012. (Eutrophication Effects on Sediment Metabolism and Benthic Algal-bacterial Coupling: An Application of Novel Techniques in a LTER Estuary)

Summary:
Deployment history of sensors recording dissolved oxygen from Massachusetts from 2012.

cdm_data_type = Other
VARIABLES:
pond (unitless)
date_start (unitless)
date_end (unitless)
deployment (unitless)
instrument1 (unitless)
instrument2 (unitless)
instrument3 (unitless)


[Depth ranges for global mesophotic reefs] - Depth ranges of occurrence for major functional groups of invertebrates, fish, and algae on global shallow and mesophotic reefs, 1973–2017 (Collaborative Research: Sponge Growth is Nitrogen Limited over the Shallow to Mesophotic Depth Gradient)

Summary:
Depth ranges of occurrence for major functional groups of invertebrates, fish, and algae on global shallow and mesophotic reefs. Studies were found in published literature from 1973 to 2017.

cdm_data_type = Other
VARIABLES:
Publication_Short_title (unitless)
Species (unitless)
MinDepth (Min Depth, meters)
depth (Max Depth, m)
Taxon (unitless)
Location (unitless)
Analysis (unitless)


[Descriptions of hurricanes affecting St. John] - Storm record from St. John, USVI in 1987–2011 (St. John LTREB project, VI Octocorals project). (LTREB Long-term coral reef community dynamics in St. John, USVI: 1987-2019)

Summary:
Names and descriptions of hurricanes near St. John USVI.

cdm_data_type = Other
VARIABLES:
year (unitless)
hurricane_name (unitless)
distance (kilometers)
wind (miles per hour)
interp_distance (kilometers)
interp_wind (kilometers)
interp_date (unitless)
lameshur_wind (miles per hour)
hurricaneSeverityIndex (Hurricane Severity Index, unitless)


[DeZoZoo Cruise Data] - Sampling data from Gelatinous Zooplankton project from R/V Hugh R. Sharp multiple cruises in Chesapeake Bay from 2010-2011 (DeZoZoo project) (Hypoxia in Marine Ecosystems: Implications for Neritic Copepods)

Summary:
Cruise metadata from the Gelatinous Zooplankton portion of the Dead Zone
Zooplankton project.\u00a0 Includes gear types and mesh sizes, locations,
dissolved oxygen in the water column,depths sampled and volume of water
filtered.

cdm_data_type = Other
VARIABLES:
cruise (text)
cruise_official (text)
station (number)
latitude (degrees_north)
longitude (degrees_east)
sample_ID (alphanumeric)
cast (number)
net (number)
occupation (text)
year (4-digit year)
month_local (number)
day_local (number)
time_local (HH:MM;24-hour clock)
gear (text)
mesh (microns)
depth_relative (Depth, text)
depth_start_nom (Depth, meters)
depth (m)
preservation (text)
tow_duration (minutes)
vol_filt (cubic meters)
O2_mg_L_mean (milligrams per liter)
time_accuracy (minutes)
ISO_DateTime_Local (ISO Date Time Local, alphanumeric)
comments (text)


[DeZoZoo CTD Data] - Processed CTD data from six cruises of the DeZoZoo project from R/V Hugh R. Sharp in the Chesapeake Bay from 2010-2011 (DeZoZoo project) (Hypoxia in Marine Ecosystems: Implications for Neritic Copepods)

Summary:
These are the processed CTD data from the DeZoZoo project taken from the
mesohaline portion of Chesapeake Bay from 37.5 - 38.5 degrees N and from 76 -
76.5 degrees West.

cdm_data_type = Other
VARIABLES:
cruise (Number)
station (Number)
campaign (Number)
campaign_name (Name)
CTD_cast (Number)
latitude (degrees_north)
longitude (degrees_east)
year (Year)
month_gmt (Month)
day_gmt (Day)
hour_gmt (Hour)
minute_gmt (Minute)
second_gmt (Second)
time (ISO Date Time UTC, seconds since 1970-01-01T00:00:00Z)
press (db)
temp (Temperature, C)
temp2 (C)
cond (S/m)
cond2 (S/m)
O2_volts (mV)
fluor (mg/m3)
beam_atten (1/m)
beam_trans (%)
alt (m)
O2_mg_L (mg/L)
... (9 more variables)


[Diadema antillarum transcriptomes] - Transcriptome and viral metagenome data from Diadema antillarum collected at St. Thomas (USVI) and Saba (Caribbean Netherlands) in Apr 2022 (Exploring the role of boundary layer microbial remineralization in flavivirus-host dynamics)

Summary:
A mass mortality of the tropical echinoderm Diadema antillarum (urn:lsid:marinespecies.org:taxname:124332) occurred beginning in January 2022 and continuing to at least July 2022. We sought to identify flaviviruses associated with this condition by performing viral metagenomics and tissue transcriptomics. We prepared these libraries from grossly normal, abnormal and reference specimens collected from St Thomas, U.S. Virgin Islands (USVI), and Saba, Caribbean Netherlands. This dataset includes the accession information for the sequences performed and archived at the National Center for Biotechnology Information (NCBI) Sequence Read Archive. While we were unsuccessful in recovering flaviviruses from tissues of these organisms, we were able to detect additional pathogenic agents (Philaster apodigitiformis; Ciliophora) from transcriptomes.

cdm_data_type = Other
VARIABLES:
SRA_accession (unitless)
SRA_study (unitless)
bioproject_accession (unitless)
biosample_accession (unitless)
sample_name (unitless)
library_ID (unitless)
title (unitless)
library_strategy (unitless)
library_source (unitless)
library_selection (unitless)
library_layout (unitless)
platform (unitless)
instrument_model (unitless)
design_description (unitless)
filetype (unitless)
latitude (degrees_north)
longitude (degrees_east)
Date_specimen_collected (unitless)


[Diatom cultures used to generate DNA reference library] - Diatom cultures used to generate DNA reference library from samples collected from sites in Alpena, Michigan and Palm Coast, Florida between July 2021 & 2022. (Collaborative Research: RUI: OCE-BO: Tango in the Mat World: Biogeochemistry of diurnal vertical migration in microbial mats of Lake Huron’s sinkholes)

Summary:
These data are the information for each of the cultures generated from samples collected from three sites in Alpena, Michigan, one site in Monroe, Michigan, and one site in Palm Coast, Florida. Data are for cultures sequenced using Sanger sequencing and include taxonomic identification, location and water parameter information from samples used to develop the cultures, and growth medium.
Each of these cultures was developed from high-sulfur, low-oxygen environments formed by underwater sinkholes and springs that create extreme habitats populated by microbial mat communities. Our study investigated previously undescribed diatom diversity in these habitats. Sequences from these cultures contribute to tying molecular data to morphologically identified isolates, providing a bridge between these two data types that can be used to improve metabarcoding analyses.

cdm_data_type = Other
VARIABLES:
NCBI_Accession (unitless)
Culture_ID (unitless)
Genus (unitless)
Species (unitless)
Variety (unitless)
Collection_ID (unitless)
Media (unitless)
Collection_Date (Month/Day/Year)
Location (unitless)
Sample_Type (unitless)
Lat (degrees_north)
longitude (Long, degrees_east)
Temp (Celsius (°C))
Cond (Microsiemens / centimeter (μS/cm))
TDS (Grams/liter (g/L))
pH (unitless)
ORP (Millivolts (mV))
NTU (Nephelometric Turbidity Units (NTU))
ODO (Percentage saturation)
... (6 more variables)


[Diatom growth rates] - Diatom growth rates from samples collected on the Gould cruise LMG1411 in the Western Antarctica Peninsula from 2014 (Polar Transcriptomes project) (Iron and Light Limitation in Ecologically Important Polar Diatoms: Comparative Transcriptomics and Development of Molecular Indicators)

Summary:
Diatom growth rates from samples collected on the Gould cruise LMG1411 in the Western Antarctica Peninsula from 2014 (Polar Transcriptomes project)

cdm_data_type = Other
VARIABLES:
species (unitless)
treatment (unitless)
mean_specific_u (d -1)
relative_u (unitless)
std_error_u (unitless)
propogation_error_u (unitless)
sample_size_u (unitless)
mean_FvFm (Mean Fv Fm, unitless)
relative_FvFm (Relative Fv Fm, unitless)
std_error_FvFm (Std Error Fv Fm, unitless)
propogation_error_FvFm (Propogation Error Fv Fm, unitless)
sample_size_FvFm (Sample Size Fv Fm, unitless)
mean_sigma (A2 quanta -1)
relative_sigma (unitless)
std_error_sigma (unitless)
propogation_error_sigma (unitless)
sample_size_sigma (unitless)


[Diatom growth rates] - Growth rates across multiple temperatures and light intensities for seven strains of a marine Chaetoceros sp. isolated from Narragansett Bay March 2018. Growth was measured across six to seven temperatures and three light intensities for each strain (Dimensions: Collaborative Research: Genetic, functional and phylogenetic diversity determines marine phytoplankton community responses to changing temperature and nutrients)

Summary:
Growth rates for seven strains of a marine Chaetoceros sp. isolated from Narragansett Bay March 2018. Growth was measured across six to seven temperatures and three light intensities for each strain

cdm_data_type = Other
VARIABLES:
Strain (unitless)
Temperature (degrees Celsius)
Light (umol Photons per m2 per second)
growth_rate_mean (cells/day)
growth_rate_StDev (Growth Rate St Dev, cells/day)


[Diatom Matrix RNAseq] - Transcriptome data for bacteria collected eight hours after individual inoculation into a diatom Thalassiosira psuedonana culture (Metabolic Currencies of the Ocean Carbon Cycle)

Summary:
Transcriptome data for bacteria Ruegeria pomeroyi DSS-3, Stenotrophomonas sp. SKA14, Polaribacter dokdonensis MED152, and Dokdonia MED134 collected eight hours after individual inoculation into a diatom Thalassiosira psuedonana culture. The sequence data description for PRHNA448168 is at https://www.ncbi.nlm.nih.gov/bioproject/?term=PRJNA448168.

cdm_data_type = Other
VARIABLES:
Sample_Name (unitless)
NCBI_Bioproject_Accession (unitless)
BioSample (Bio Sample, unitless)
Description (unitless)
replicate (unitless)
NCBI_Genome_Accession (unitless)
taxon_microbe (unitless)


[Diatom TPC parameters] - Thermal niche across three light levels for seven strains of a marine diatom Chaetoceros sp. isolated from Narragansett Bay March 2018 (Dimensions: Collaborative Research: Genetic, functional and phylogenetic diversity determines marine phytoplankton community responses to changing temperature and nutrients)

Summary:
Thermal niche, as calculated from the Thermal Performance Curve (TPC), across three light levels for seven strains of a marine diatom Chaetoceros sp. isolated from Narragansett Bay March 2018.

cdm_data_type = Other
VARIABLES:
Strain (unitless)
Light (umol Photons per m2 per second)
topt (degrees Celsius)
tmin (Minimum Temperature, degrees Celsius)
tmax (Maximum Temperature, degrees Celsius)
rsqr (unitless)
width (degrees Celsius)


[DIC and d13C-DIC] - DIC and del13C-DIC from nine M/S Columbus Waikato cruises between New Zealand and Long Beach, CA in the Pacific Basin from 2004-2006 (Time-Series Measurements of the 13C/12C of Dissolved Inorganic Carbon)

Summary:
Carbonate chemistry and isotopes from nine M/S Columbus Waikato cruises between New Zealand and Long Beach, CA in the Pacific Basin from 2004-2006. This dataset includes dissolved inorganic carbon (DIC), and del13C-DIC.

cdm_data_type = Other
VARIABLES:
SIL_cruise_id (unitless)
PMEL_cruise_id (unitless)
time (ISO Date Time UTC, seconds since 1970-01-01T00:00:00Z)
date (unitless)
time2 (Time, unitless)
latitude (degrees_north)
longitude (degrees_east)
DIC (micromoles/kilogram (umol/kg))
d13C_DIC (D13 C DIC, per mil)


[DIC] - Dissolved inorganic carbon from R/V Thomas G. Thompson and R/V Kilo Moana cruises TN277, KM1301 in the Eastern North Pacific Ocean from 2012-2013 (POWOW project) (Seasonal and decadal changes in temperature drive Prochlorococcus ecotype distribution patterns)

Summary:
Dissolved inorganic carbon from R/V Thomas G. Thompson and R/V Kilo Moana cruises TN277, KM1301 in the Eastern North Pacific Ocean from 2012-2013 (POWOW project)

cdm_data_type = Other
VARIABLES:
cruise_name (text)
cast (unitless)
latitude (degrees_north)
longitude (degrees_east)
depth_w (Depth, meters)
month_utc (mm (01 to 12))
day_utc (dd (01 to 31))
year (unitless)
time_utc (HHMM.mm)
time (ISO Date Time UTC, seconds since 1970-01-01T00:00:00Z)
depth (m)
bot (unitless)
DIC (uM)


[Diel multi 'omics] - Diel multi 'omics data from surface ocean microbial community samples collected during Hawaiʻi Diel Sampling (HaDS) in Kāneʻohe Bay and adjacent offshore waters of O'ahu, Hawai'i from December 2020 to August 2021 (From Signatures of Translational Regulation to Outcomes of Natural Selection: Evolution of Marine Microbes in Changing Environments)

Summary:
This dataset contains biogeochemical data, sampling information, and genetic accession identifiers for the Hawaiʻi Diel Sampling (HaDS) survey in Kāneʻohe Bay and adjacent offshore waters of O'ahu, Hawai'i from December 2020 to August 2021.

Study description:

Here, we present data from the Hawaiʻi Diel Sampling (HaDS) survey, which represents a high-resolution sampling of surface ocean microbial communities every 1.5 hours for 48 hours across two environments: Kāneʻohe Bay on the windward coast of Oʻahu, Hawaiʻi, and the adjacent offshore. At both the coastal Kāneʻohe Bay station (HP1) and the adjacent offshore station (STO1), we sampled at 33 time-points across 48 hours in August 2021, and subsequently produced 59 metatranscriptomes, 65 short-read metagenomes, 8 long-read metagenomes, and 66 metaepitranscriptomes. We also generated four deeply-sequenced short-read metagenomes from samples collected in the late fall and spring prior to HaDS through routine Kāneʻohe Bay Time-series sampling. The goal of HaDS is to characterize microbial responses to diel changes in ocean biogeochemistry and investigate mechanisms of transcriptional and translation regulation. These data were collected by Dr. A. Murat Eren of the Helmholtz Institute for Functional Marine Biodiversity.

cdm_data_type = Other
VARIABLES:
HADS_Universal_Sample_ID (unitless)
NCBI_BioProject (unitless)
BioSample_accession (unitless)
sampleID_MTX (unitless)
sampleID_TRNA (unitless)
sampleID_MGX (unitless)
sampleID_HMW (unitless)
Station (unitless)
Date (unitless)
Time_sampled (hh:mm)
time (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)
... (29 more variables)


[Diel proteomes Trichodesmium IMS101] - Diel proteomes of cultured Trichodesmium erythraeum sp. IMS101 from laboratory experiments conducted in November of 2018 (New technology for high resolution analysis of proteins and other organic materials produced by marine microorganisms)

Summary:
Diel proteomes of cultured Trichodesmium erythraeum sp. IMS101 from laboratory experiments conducted in November of 2018.

cdm_data_type = Other
VARIABLES:
protein_name (unitless)
hours_post_dawn (hours)
cnratio (dimensionless)
relative_protein_abundance (unitless)


[Dilution experiment treatments and Chl data] - Shipboard Plankton Dilution Experiment Chlorophyll collected at the mid-Atlantic Bight Shelfbreak on R/V Neil Armstrong AR29, R/V Ronald H. Brown RB1904 and R/V Thomas G. Thompson TN368 to the New England Shelfbreak in April 2018 and and May/July 2019 (Collaborative Research:  Shelfbreak Frontal Dynamics: Mechanisms of Upwelling, Net Community Production, and Ecological Implications)

Summary:
As part of the Shelfbreak Productivity Interdisciplinary Research Operation at the Pioneer Array (SPIROPA) Project, twelve grazing experiments utilizing the two-point dilution technique were conducted during each of three research cruises (April of 2018, and May and July of 2019) in the Middle Atlantic Bight to estimate microzooplankton grazing rates and net phytoplankton growth rates. Stations where the dilution experiments were conducted were strategically located in one of three key cross-shelf water mass regimes: (1) at the shelfbreak front, (2) inshore of the front in continental shelf water and (3) offshore of the front in slope water. Grazing incubations were performed on water sampled from the chlorophyll maximum, when present, and conducted on the <200 µm fraction of water (what passed through a 200 µm sieve) in order to include only the microzooplankton grazers and avoid trophic cascades associated with mesozooplankton predators and grazers. The 2 dilution points were 10% and 100% of the < 200 µm sample water. All experiments were run in triplicate for 24 hours and consisted of a dark treatment incubation and a light treatment incubation at a simulated 30% E0.

cdm_data_type = Other
VARIABLES:
CRUISE (unitless)
EXPERIMENT (unitless)
STATION (unitless)
latitude (degrees_north)
longitude (degrees_east)
SAMPLE_ID (unitless)
WATER_MASS (unitless)
depth (Depth_m, m)
DATE (unitless)
CHLA (µg/L)
PHEO (µg/L)
PERC_Chla (%)
MEAN_Chla (µg/L)
SD (µg/L)
SE (µg/L)
NOTES (units)
Sample_Code (unitless)


[Dino Experiment] - Prey Engulfment as the Dominant Pathway of Methylmercury Uptake in a Heterotrophic Dinoflagellate Experiment (Collaborative Research: Transformations and mercury isotopic fractionation of methylmercury by marine phytoplankton)

Summary:
These data include all relevant analyses from methylmercury (MeHg) uptake experiments utilizing the heterotrophic dinoflagellate Oxyrrhis marina (urn:lsid:marinespecies.org:taxname:109902), varying salinity, temperature, and dissolved organic matter (DOM) source – including heat-killed O. marina. The goal of these experiments was to determine whether uptake from the dissolved phase or prey engulfment would contribute more to cellular MeHg accumulation. All experimental treatments were triplicated and had a control with no added MeHg.

These studies support the following hypotheses: MeHg uptake is higher in the presence of phytoplankton prey, uptake is significantly lower at a low salinity (11 compared to 17 and 34), and temperature (at 12, 15, and 22°C) has no effect on MeHg uptake.

cdm_data_type = Other
VARIABLES:
Treatment (unitless)
Temperature (degrees Celsius)
Salinity (PSU)
OM (Micromoles per liter (μmol/L))
Replicate (unitless)
Hours_of_exposure (hrs)
Dissolved_MeHg_concentration (ng/L)
Filter_MeHg_concentration (ng/L)
Cell_count (cells/L)


[Dinoflagellate culturing] - Size and chemical responses of two dinoflagellate species used in natural high light exposure experiments (Protist Signaling project) (Environmental stress and signaling based on reactive oxygen species among planktonic protists)

Summary:
Size and chemical responses of two dinoflagellate species used in natural high light exposure experiments (Protist Signaling project)

cdm_data_type = Other
VARIABLES:
Experiment_ID (unitless)
time (Experiment Date, seconds since 1970-01-01T00:00:00Z)
Dinoflagellate_species (unitless)
Total_PAR_during_exposure_treatment (mol photons m^-2)
Sampling_timepoint (unitless)
Replicate_cell_counts (cells ml-1)
Replicate_cell_volume (um^3)
Replicate_determinations_chlorophyll_a (Concentration Of Chlorophyll In Sea Water, pg cell-1)
Replicate_determinations_chlorophyll_a_per_unit_cell_volume (Concentration Of Chlorophyll In Sea Water, mg L-1)
Replicate_determinations_particulate_DMSP_fmolcell1 (fmol cell-1)
Replicate_determinations_particulate_DMSP_mmolL_cellvol1 (Replicate Determinations Particulate DMSP Mmol L Cellvol1, mmol L cell vol-1)
Replicate_determinations_dissolved_DMSP_nmolL1 (Replicate Determinations Dissolved DMSP Nmol L1, nmol L-1)
Replicate_determinations_dissolved_DMSP_fmolcell1 (fmol cell-1)
Replicate_determinations_total_DMSP (umol L-1)


[dis_15N2_gas] - Analysis of dissolved 15N2 gas standards by Membrane Inlet Mass Spectrometry (EAGER:  Collaborative Research:  Detection limit in marine nitrogen fixation measurements - Constraints of rates from the mesopelagic ocean)

Summary:
In order to verify that measurements of the 15N2 atom% of dissolved N2 gas samples effectuated by Membrane Inlet Mass Spectrometry are accurate, we developed a specific protocol to prepare dissolved 15N2 gas standards. We detail the protocol herein, and report representative MIMS measurements of the prepared standards.

cdm_data_type = Other
VARIABLES:
Bottle_vol (mililiters (mL))
Sample (unitless)
Injection_15N2 (Injection 15 N2, mililiters (mL))
Expected_15N_At_pcnt (Expected 15 N At Pcnt, unitless)
Time_of_analysis (unitless)
m_z_28 (unitless)
m_z_29 (unitless)
m_z_30 (unitless)
m_z_32 (unitless)
m_z_40 (unitless)
N2_Ar (unitless)
ratio_28_29 (unitless)
ratio_28_30 (unitless)
At_15N_pcnt (At 15 N Pcnt, unitless)
At_15N_pcnt_avg (At 15 N Pcnt Avg, unitless)


[Discrete bottle data from Hydrostation S] - Discrete bottle data from Hydrostation S in the Sargasso Sea from January 1955 through December 2023 (The Panulirus Hydrographic Stations (Hydrostation S))

Summary:
Data presented here are discrete bottle samples from the Hydrostation S (or Panulirus) time series site located 20 km SE of Bermuda (32°10'N, 64°30'W) in the Sargasso Sea for January 1955 (cruise #9) through December 2023 (cruise #1465). Measurements were collected at near biweekly intervals where possible depending on weather and ship availability. Prior to the arrival of Weatherbird I in 1983, station occupation during winter months was limited due to the sea-going capabilities of the former vessels. The standard sample parameter list has been mostly consistent for the full time-series record  and includes temperature, salinity, and dissolved oxygen. Since October 1988 (cruise #643), data and samples have been collected using a SeaBird 911+ CTD and integrated Niskin rosette system. The largest data gap of almost one year was due to the loss of all the Niskin bottles and reversing thermometers following a break in the hydro wire on station #463 (April 1979).

cdm_data_type = Other
VARIABLES:
time (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)
decimal_year (dimensionless)
Bottle_ID (unitless)
latitude (degrees_north)
longitude (degrees_east)
Vessel (unitless)
Cruise_num (unitless)
Cast_num (unitless)
Bottle_num (unitless)
QF_Bottle (unitless)
depth (m)
QF1_Depth (unitless)
CTD_Pressure (dbar)
QF2_CTD_press (unitless)
Temperature (degrees Celsius ( °C))
QF3_Temp (unitless)
CTD_Salinity (dimensionless)
... (9 more variables)


Summary:
Data presented here are discrete bottle samples from the Hydrostation S (or Panulirus) time series site located 20 km SE of Bermuda (32°10'N, 64°30'W) in the Sargasso Sea for January 1955 (cruise #9) through December 2023 (cruise #1465). Measurements were collected at near biweekly intervals where possible depending on weather and ship availability. Prior to the arrival of Weatherbird I in 1983, station occupation during winter months was limited due to the sea-going capabilities of the former vessels. The standard sample parameter list has been mostly consistent for the full time-series record  and includes temperature, salinity, and dissolved oxygen. Since October 1988 (cruise #643), data and samples have been collected using a SeaBird 911+ CTD and integrated Niskin rosette system. The largest data gap of almost one year was due to the loss of all the Niskin bottles and reversing thermometers following a break in the hydro wire on station #463 (April 1979).

cdm_data_type = Other
VARIABLES:
time (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)
decimal_year (dimensionless)
Bottle_ID (unitless)
latitude (degrees_north)
longitude (degrees_east)
Vessel (unitless)
Cruise_num (unitless)
Cast_num (unitless)
Bottle_num (unitless)
QF_Bottle (unitless)
depth (m)
QF_Depth (unitless)
CTD_Pressure (dbar)
QF_CTD_press (unitless)
Temperature (degrees Celsius ( °C))
QF_Temp (unitless)
CTD_Salinity (dimensionless)
... (9 more variables)


[Discrete bottle data from Hydrostation S] - Discrete bottle data from Hydrostation S in the Sargasso Sea from January 1955 through December 2024 (The Panulirus Hydrographic Stations (Hydrostation S))

Summary:
Data presented here are discrete bottle samples from the Hydrostation S (or Panulirus) time series site located 20 km SE of Bermuda (32°10'N, 64°30'W) in the Sargasso Sea for January 1955 (cruise #9) through December 2024 (cruise #1490). Measurements were collected at near biweekly intervals where possible depending on weather and ship availability. Prior to the arrival of Weatherbird I in 1983, station occupation during winter months was limited due to the sea-going capabilities of the former vessels. The standard sample parameter list has been mostly consistent for the full time-series record and includes temperature, salinity, and dissolved oxygen. Since October 1988 (cruise #643), data and samples have been collected using a SeaBird 911+ CTD and integrated Niskin rosette system. The largest data gap of almost one year was due to the loss of all the Niskin bottles and reversing thermometers following a break in the hydro wire on station #463 (April 1979).

cdm_data_type = Other
VARIABLES:
time (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)
decimal_year (dimensionless)
Bottle_ID (unitless)
latitude (degrees_north)
longitude (degrees_east)
Vessel (unitless)
Cruise_num (unitless)
Cast_num (unitless)
Bottle_num (unitless)
QF_Bottle (unitless)
depth (m)
QF_Depth (unitless)
CTD_Pressure (dbar)
QF_CTD_press (unitless)
Temperature (degrees Celsius ( °C))
QF_Temp (unitless)
CTD_Salinity (dimensionless)
... (9 more variables)


[Discrete Carbonate Data] -  (Drivers of ocean acidification in a temperate urbanized estuary undergoing nutrient loading reductions)

Summary:
This dataset contains discrete carbonate data collected as part of the study described below. See the "Related Publications" sections for more datasets from this study.

Study description:

The increase in atmospheric carbon dioxide (CO2) over the last 200 years has largely been mitigated by the ocean's function as a carbon sink. However, this continuous absorption of CO2 by seawater triggers ocean acidification (OA), a process in which water becomes more acidic and more depleted in carbonate ions that are essential for calcifiers. OA is well-studied in open ocean environments; however, understanding the unique manifestation of OA in coastal ecosystems presents myriad challenges due to considerable natural variability resulting from concurrent and sometimes opposing coastal processes--e.g. eutrophication, changing hydrological conditions, heterogeneous biological activity, and complex water mass mixing. This study analyzed high temporal resolution pH data collected during 2022 and 2023 from Narragansett Bay, RI--a mid-sized, urban estuary that since 2005 has undergone a 50% reduction in nitrogen loading\textemdash with weekly, discrete bottle samples to verify sensor data. We used autonomous data for pH, temperature, salinity, and dissolved oxygen from 4 sensors in Narragansett Bay. The autononous data spanned over a year from 2022 to mid-2023 and had temporal resolutions between 10 and 15 minutes. The data have been subjected to QA/QC protocols, such that all pH measurements are final and quality controlled. As well, pH values normalized to 15°C (using PyCO2SYS) are included. All pH values are in total scale.

Additionally, data from discrete samples have been provided. Discrete samples were taken weekly at the Narragansett Bay Long Term Phytoplankton Time Series site and monthly from Greenwich Bay, collocated with 2 of the sensors. Discrete data were analyzed in lab for dissolved inorganic carbon and total alkalinity, and include in situ temperature and salinity.

cdm_data_type = Other
VARIABLES:
Sample (unitless)
time (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)
Location (unitless)
... (10 more variables)


[Discrete NCP and GPP on AR29, RB1904 and TN368] - Discrete Net Community and Gross Primary Production Rates data on the US Northeastern Shelf in the SPIROPA project during spring and summer 2018 and 2019 (Collaborative Research:  Shelfbreak Frontal Dynamics: Mechanisms of Upwelling, Net Community Production, and Ecological Implications)

Summary:
Triple oxygen isotopes and O2/Ar ratios were were measured on discrete bottle samples which were collected from surface Niskins from the CTD. The samples were collected at sea into poisoned, pre-evacuated bottles and then measured on an isotope ratio mass spectrometer. The gas data was then used to calculate mixed layer depth integrated rates of gross primary production (in oxygen units = gross oxygen production) and net community production. The gas data itself is posted on BCO-DMO in the bottle CTD tables associated with this cruise. This data set contains the rates of production calculated from the gas data for those who simply want the rates rather than the gas data.  This data set has rates calculated from samples collected from cruises on the US Northeastern Shelf taking place in Spring 2018 (Ar29), spring 2019 (RB1904) and summer 2019 (TN368). There is no depth associated with each rate since the exact depth the water came from does not matter - the rate represents the production integrated over the mixed layer in all cases and the depth of collection is not the same as the mixed layer depth. CTD data posted on BCO-DMO can be used to determine depths if desired and/or mixed layer depths.

cdm_data_type = Other
VARIABLES:
Cruise (unitless)
time (Date_time, seconds since 1970-01-01T00:00:00Z)
latitude (degrees_north)
longitude (degrees_east)
GOP (mmol O2/m2/day)
NCP (mmol O2/m2/day)
NCP_GOP (unitless)


[Discrete sample measurements of dissolved oxygen, dissolved inorganic carbon, and total alkalinity] - Supplementary discrete sample measurements of dissolved oxygen, dissolved inorganic carbon, and total alkalinity from Ocean Observatories Initiative (OOI) cruises to the Irminger Sea Array 2018-2019 (Collaborative Research: The Annual Cycle of the Biological Carbon Pump in the Subpolar North Atlantic)

Summary:
This dataset contains discrete sample measurements of dissolved oxygen, dissolved inorganic carbon, and total alkalinity collected during yearly Ocean Observatories Initiative (OOI) turn-around cruises to maintain the Irminger Sea Array (60.46°N, 38.44°W). Samples in this dataset were collected as part of an ancillary research project that joined the OOI turn-around cruises in June 2018 and August 2019 as part of ongoing efforts to enable OOI biogeochemical sensor data to be used to address scientific questions about ocean carbon cycling and the biological carbon pump.

Discrete sample data collected and analyzed by this research team complement data collected by the OOI program as part of routine turn-around cruise activities. We provide the supplementary measurements made by our team alongside salinity- and oxygen- calibrated Conductivity Temperature Depth (CTD) and oxygen sensor data from the depths where Niskin bottles were closed for sample collection and additional discrete oxygen measurements made by the OOI team.

cdm_data_type = Other
VARIABLES:
Cruise (unitless)
Cast (unitless)
latitude (degrees_north)
longitude (degrees_east)
time (Date_utc, seconds since 1970-01-01T00:00:00Z)
Niskin_ID (unitless)
CTDPRES (dbar)
CTDTEMP_ITS90 (degrees C)
CTDTEMP_flag (unitless)
CTDSAL_PSS78 (unitless)
CTDSAL_flag (unitless)
CTDOXYCUR (volts)
CTDOXYCUR_flag (unitless)
CTDOXY (umol/kg)
CTDOXY_flag (unitless)
AAOXYCUR (volts)
... (14 more variables)


[Discrete sample measurements] - Discrete sample measurements of dissolved oxygen, dissolved inorganic carbon, and total alkalinity from US Overturning in the Subpolar North Atlantic Program (OSNAP) cruises in 2020 and 2022 (AR45 and AR69-03) (Collaborative Research: Gases in the Overturning and Horizontal circulation of the Subpolar North Atlantic Program (GOHSNAP))

Summary:
This dataset contains discrete sample measurements of dissolved oxygen, dissolved inorganic carbon, and total alkalinity collected during cruises in 2020 (AR45) and 2022 (AR69-03) to recover and redeploy Overturning in the Subpolar North Atlantic Program (OSNAP) moorings in the Labrador Sea and western Irminger Sea. Samples in this dataset were collected as part of Gases in the Overturning and Horizontal circulation of the Subpolar North Atlantic Program (GOHSNAP), which has added moored oxygen sensors to the OSNAP mooring array, beginning in 2020. We provide the discrete sample measurements alongside salinity- and oxygen- calibrated Conductivity Temperature Depth (CTD) and oxygen sensor data from the depths where Niskin bottles were closed for sample collection.

cdm_data_type = Other
VARIABLES:
Cruise_ID (unitless)
Station_ID (unitless)
Niskin_ID (unitless)
Year_UTC (unitless)
Month_UTC (unitless)
Day_UTC (unitless)
ISO_Date_UTC (unitless)
latitude (degrees_north)
longitude (degrees_east)
CTDPRES (dbar)
depth (m)
CTDTEMP_ITS90 (degrees Celsius)
CTDTEMP_flag (unitless)
CTDSAL_PSS78 (unitless)
CTDSAL_flag (unitless)
CTDOXY (umol/kg)
CTDOXY_flag (unitless)
Oxygen1 (umol/kg)
Oxygen1_flag (unitless)
Oxygen2 (umol/kg)
... (7 more variables)


[Discrete Samples] - DIC, TA, pH from R/V Pelican cruise conducted in the northern Gulf of Mexico in April and July 2017 (Collaborative Research: pH Dynamics and Interactive Effects of Multiple Processes in a River-Dominated Eutrophic Coastal Ocean)

Summary:
Dissolved inorganic carbon, total alkalinity and pH from R/V Pelican cruises conducted in the northern Gulf of Mexico (27.5 N, 30 N, 88 W, 94 W ) from April 5 to 16 and July 7 to 21 in 2017

cdm_data_type = Other
VARIABLES:
Cruise (unitless)
Date (unitless)
time2 (Time, unitless)
Station (unitless)
longitude (degrees_east)
latitude (degrees_north)
depth (Bottom Depth, m)
Sample_Depth (meter (m))
Temperature (degrees Celsius (°C))
Salinity (Sea Water Practical Salinity, PSU)
OxygenSBE1 (Oxygen SBE1, micromole per kilogram (umol/kg))
OxygenSBE2 (Oxygen SBE2, milligram per liter (mg/L))
FluorescenceChl (Fluorescence Chl, microgram per liter (ug/L))
wetCDOM (Wet CDOM, milligram per cubic meters (mg/m^3))
SPAR (microEinsteins per square meter per second (uEinsteins/m^2/second))
PAR (Downwelling Photosynthetic Photon Radiance In Sea Water, microEinsteins per square meter per second (uEinsteins/m^2/second))
Turbidity (FTU)
Attenuation (1 per meter (1/m))
Transmission (%)
TA (micromole per kilogram (umol/kg))
flag_TA (unitless)
DIC (micromole per kilogram (umol/kg))
flag_DIC (unitless)
pH_Electrode (P H Electrode, unitless)
flag_pHelec (Flag P Helec, unitless)
pH_Spec (P H Spec, unitless)
... (4 more variables)


[Dissolution kinetics of 10 marine calcifiers: Dissolution rates] - Calculated gross dissolution rates at 10.0 °C and at 25.0 °C. (A combined boron isotope, pH microelectrode and pH-sensitive dye approach to constraining acid/base chemistry in the calcifying fluids of corals)

Summary:
Dissolution kinetics of 10 marine calcifiers, calculated gross dissolution rates at 10.0 \u00b0C and at 25.0 \u00b0C.

cdm_data_type = Other
VARIABLES:
Organism_type (name)
Scientific_name (name)
Temp (Temperature, degrees Celsius)
Arag_sat (omega)
diss_rate (percent per day)


[Dissolved Inorganic Nutrients] - Dissolved inorganic nutrients from two microcosm incubation experiments conducted on sample water collected from West Bay of the Neuse River Estuary, North Carolina USA in 2021 and 2022 (Bacteria as Biosensors of Carbon and Energy Flow in Marine Ecosystems: Quantitative Links Between Substrates, Transcripts, and Metabolism)

Summary:
Dissolved inorganic nutrients were collected for two microcosm incubation experiments. Sample water originated from West Bay of the Neuse River Estuary, North Carolina USA in 2021 and 2022. The microcosms were 60 liters, conducted in biological duplicates under three light treatment incubations: 12-hour light-dark cycle of photosynthetically active radiation (PAR), 12-hour light-dark cycle of UV-B radiation, or darkness. Samples were collected from the microcosms in duplicate every few days for over one month to examine how light and the resulting microbial activity altered the concentrations of dissolved inorganic nutrients (total dissolved nitrate and nitrite or NOx, ammonium or NH4, and soluble reactive phosphorus or SRP) over time. Concentrations of these inorganic nutrients were quantified via colorimetric assays on a Genesys 10S UV-Vis spectrophotometer or Tecan Infinite 200Pro plate reader.

cdm_data_type = Other
VARIABLES:
Experiment (unitless)
Date_Start (unitless)
Incubation_Day (days)
Treatment (unitless)
Tank_ID (unitless)
Replicate (unitless)
NOx (micromolar (uM))
NH4 (micromolar (uM))
SRP (micromolar (uM))


[Dissolved Mercury Speciation in the California Current System] - Dissolved mercury (Hg) speciation in the California Current System from samples collected on R/V Roger Revelle cruise RR2105 in July to August 2021 (California Current Ecosystem Long Term Ecological Research site)

Summary:
Monomethylmercury (MMHg) is a neurotoxicant that biomagnifies in marine food webs, reaching high concentrations in apex predators. To predict changes in oceanic MMHg concentrations, it is important to quantify its sources and sinks. Here, we study mercury speciation in the California Current System through cruise sampling and modeling. Previous work in the California Current System has found that upwelling impacts mercury biogeochemistry by transporting mercury-enriched deep waters to productive surface waters. These upwelled waters originate within the California Undercurrent water mass and are subsequently advected as a surface water parcel to the California Current. By comparing the two major water masses, we find that the California Undercurrent contains elevated dissolved total mercury (Hg) and Dimethylmercury (DMHg) concentrations by 57% and 60%, respectively, compared to the California Current. We explain that these differences result from losses during advection, specifically scavenging and DMHg demethylation. We calculate a net DMHg demethylation rate constant of 1.8 ± 0.9% per day; and build an empirically constrained mass budget model to demonstrate that DMHg demethylation accounts for 59% of surface MMHg sources. These findings illustrate that DMHg is a significant source of MMHg in this region, challenging the current understanding of the major sources of marine MMHg. These data are associated with Adams et al., 2024 (doi: 10.21203/rs.3.rs-3909481/v1).

cdm_data_type = Other
VARIABLES:
Water_Mass (unitless)
Station_Name (unitless)
ISO_DateTime_PDT (unitless)
time (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)
Latitude (degrees_north)
longitude (degrees_east)
Trace_Metal_Cast_Num (unitless)
depth (Depth_m, m)
Temperature_C (degrees Celsius)
Salinity_PSU (practical salinity units (PSU))
Oxygen_umol_kg (micromole per kilogram (umol/kg))
Density_kg_m3 (kilogram per cubed meter (kg/m^3))
... (8 more variables)


[Dissolved Nitrous Oxide] - Dissolved N2O concentration and stable isotope/isotopomer composition measurements from R/V Knorr cruise KN192-05 in the South Atlantic subtropical gyre and Benguela upwelling region in 2007 (CoFeMUG project) (Cobalt, Iron and Micro-organisms from the Upwelling zone to the Gyre)

Summary:
Dissolved N2O concentration and stable isotope/isotopomer composition measurements made from samples from acid-cleaned, Teflon-coated X-Niskin sampling bottles on the CoFeMUG cruise (KN192-05).

cdm_data_type = Other
VARIABLES:
cruise_id (dimensionless)
sta (dimensionless)
latitude (degrees_north)
longitude (degrees_east)
lon_360 (Longitude, decimal degrees)
press (decibars (db))
ev_code (dimensionless)
event (dimensionless)
date_event (unitless)
N2O (N2 O, nanomoles per liter (nm/L))
d15Nbulk_N2O (D15 Nbulk N2 O, per mil (‰))
SP_N2O (SP N2 O, per mil (‰))
d18O_N2O (D18 O N2 O, per mil (‰))
d15Na_N2O (D15 Na N2 O, per mil (‰))
d15Nb_N2O (D15 Nb N2 O, per mil (‰))


[Dissolved Nutrients] - Dissolved inorganic nutrient concentrations in seawater samples collected from Project "DaVINCi" incubations in the Gulf of Naples, Italy from April to May 2022 (Shunt or shuttle? Nutrient-driven biogeochemical consequences of diatom host-virus interactions)

Summary:
Dissolved inorganic nutrient concentrations were measured in seawater samples collected from nutrient amendment experiments conducted on surface water collected at the Long-Term Ecological Monitoring Station, MareChiara, in the Gulf of Naples, Italy, between April 20 and May 19, 2022.  These incubations were part of a field study on "Diatom Virus Infection of Natural Communities" (DaVINCi) and were aimed at understanding the role of silicon limitation in driving diatom viral infection.

cdm_data_type = Other
VARIABLES:
Date (unitless)
Incubation (unitless)
Bag (unitless)
Treatment (unitless)
Replicate (unitless)
Incubation_Timepoint_d (day)
NH4 (millimoles per cubic meter (mmol m-3))
PO4 (millimoles per cubic meter (mmol m-3))
NO2 (millimoles per cubic meter (mmol m-3))
NO3 (millimoles per cubic meter (mmol m-3))
SiO4 (millimoles per cubic meter (mmol m-3))
N_N_N (millimoles per cubic meter (mmol m-3))


[Dissolved O2 and Potential Density] - Dissolved oxygen and potential density measurements from the R/V Atlantis, R/V Ronald Brown, & E/V Nautilus in the Gulf of Mexico & Florida from 2010-2014 (Lophelia OA project) (Physiological and genetic responses of the deep-water coral, Lophelia pertusa, to ongoing ocean acidification in the Gulf of Mexico)

Summary:
Dissolved oxygen and potential density measurements from the R/V Atlantis, R/V Ronald Brown, & E/V Nautilus in the Gulf of Mexico & Florida from 2010-2014 (Lophelia OA project)

cdm_data_type = Other
VARIABLES:
year (unitless)
cruise_id (unitless)
cruise_name (unitless)
site (unitless)
latitude (degrees_north)
longitude (degrees_east)
depth (m)
temperature (celsius)
salinity (Sea Water Practical Salinity, practical salinity units (PSU))
potential_density (kilogram per cubic meter (kg/m^3))
DO (micromoles per kilogram (umol/kg))


[dissolved O2] - Depth profiles of dissolved O2 saturation and isotopologues from the R/V Yellowfin and R/V Kilo Moana from 2016-09-14 to 2017-08-28 (Collaborative Research:  New Constraints on Marine Oxygen Cycling)

Summary:
Seawater was sampled from Niskin bottles associated with CTD casts on each cruise. Water for these dissolved gas isotope samples was the first to be sampled from a given Niskin bottle. When possible, bottles from the same cast were sampled, but depth profiles often came from separate casts at the same site.

cdm_data_type = Other
VARIABLES:
description (unitless)
date (unitless)
latitude (degrees_north)
longitude (degrees_east)
depth (m)
O2_O2sat (unitless)
d18O (D18 O, parts per thousand)
D17O (D17 O, parts per million)
D35 (parts per thousand)
D36 (parts per thousand)


[Dissolved organic carbon lability] - Water column dissolved organic carbon (DOC) reactivity along the York River Estuary (YRE) from surface samples collected in October 2018 and February, April, and July 2019 (Alteration of carbon fluxes by intense phytoplankton blooms in a microtidal estuary)

Summary:
Data were collected to evaluate spatiotemporal variations in, and environmental controls on, water column dissolved organic carbon (DOC) reactivity along the York River Estuary (YRE), a temperate microtidal sub-estuary of the Chesapeake Bay in southeastern Virginia. Data were also collected as part of the larger, NSF-funded project (NSF BIO-OCE #1737258) entitled "Alteration of carbon fluxes by intense phytoplankton blooms in a micro tidal estuary." Surface water column samples were collected in October 2018 and February, April, and July 2019 from three locations along the YRE estuarine salinity gradient. Filtered water was inoculated and incubated in the dark at in situ York River water temperatures, and sub-sampled at the onset of the experiment (T0), one day following onset (T1), and weekly for 28 days thereafter (T7, T14, T21, T28). Samples were analyzed for DOC concentrations.

cdm_data_type = Other
VARIABLES:
Site (unitless)
latitude (degrees_north)
longitude (Long, degrees_east)
Month_Collected (unitless)
Date_Sampled (unitless)
Timepoint_days (days)
DOC_uM (micromolar (umol/l))


[Dissolved Organic Carbon] - Bulk dissolved organic carbon (DOC) from two microcosm incubation experiments conducted under three light treatments using water originating from West Bay of the Neuse River Estuary, North Carolina USA in 2021 and 2022 (Bacteria as Biosensors of Carbon and Energy Flow in Marine Ecosystems: Quantitative Links Between Substrates, Transcripts, and Metabolism)

Summary:
Bulk dissolved organic carbon (DOC) was collected from two microcosm incubation experiments. Sample water originated from West Bay of the Neuse River Estuary, North Carolina USA in 2021 and 2022. The microcosms were 60 liters, conducted in biological duplicates under three light treatment incubations: 12-hour light-dark cycle of photosynthetically active radiation (PAR), 12-hour light-dark cycle of UV-B radiation, or darkness. Samples were collected from the microcosms in duplicate every few days for over one month to examine how light and the resulting microbial activity altered the DOC pool over time.

cdm_data_type = Other
VARIABLES:
Experiment_Name (unitless)
Start_date (unitless)
Treatment (unitless)
Incubation_day (days)
Tank_ID (unitless)
DOC_uM (micromoles per liter (umol L-1))
DOC_Technical_sd (micromoles per liter (umol L-1))


[Dissolved Organic Carbon] - Dissolved organic carbon concentrations in seawater samples collected from Project "DaVINCi" incubations in the Gulf of Naples, Italy from April to May 2022 (Shunt or shuttle? Nutrient-driven biogeochemical consequences of diatom host-virus interactions)

Summary:
Dissolved organic carbon concentrations were measured in 0.2-micrometer-filtered seawater collected from nutrient amendment incubation experiments conducted on surface water collected at the Long-Term Ecological Monitoring Station, MareChiara, in the Gulf of Naples, Italy, between April 20 and May 19, 2022. These incubations were part of a field study on "Diatom Virus Infection of Natural Communities" (DaVINCi) and were aimed at understanding the role of silicon limitation in driving diatom viral infection and lysis.

cdm_data_type = Other
VARIABLES:
Date (unitless)
Incubation (unitless)
Bag (unitless)
Treatment (unitless)
Replicate (unitless)
Incubation_Timepoint_d (day)
DOC (millimoles per cubic meter (mmol m-3))


[Dissolved organic Fe-binding ligand data from the FRidge (GA13) expedition] - Dissolved organic Fe-binding ligand data from the FRidge (GA13) expedition on RRS James Cook (cruise JC156) from December 2017 to February 2018 (Are strong ligands and dissolved iron tightly coupled in hydrothermal systems?)

Summary:
Samples were collected as part of the 2017-2018 U.K. GEOTRACES GA13 section cruise along the Mid-Atlantic Ridge (Cruise JC156 on RRS James Cook). Water samples from 11 venting and near venting locations were collected using a Seabird 911 conductivity, temperature, and depth (CTD) titanium rosette using conducting Kevlar wire with an oxidation-reduction potential (ORP) sensor to detect plumes. Teflon coated OTE (Ocean Test Equipment) bottles were pressurized to approximately 7 psi with 0.2 μm filtered air using an oil-free compressor. A Sartobran 300 (Sartorius) filter capsule (0.2 μm) was used to collect filtered seawater samples into clean 250 mL LDPE sample bottles. Bottles and caps were rinsed 3 times with the filtered sample before being filled. Samples were stored frozen at -20°C for organic iron-binding ligand characterization by voltammetry using competitive ligand exchange adsorptive cathodic stripping voltammetry. All dissolved organic iron-binding ligand samples were measured with a BASi controlled growth mercury electrode with an Ag/AgCl¬- reference electrode and platinum auxiliary electrode (Bioanalytical Systems Incorporated) using previously established methods for forward titrations (Buck et al., 2015, 2018; Bundy et al., 2018; Abualhaija and van den Berg, 2014; Hawkes et al., 2013 (Planet. Sci. Lett.)). Reverse titrations (Hawkes et al., 2013 (Anal. Chim. Acta)) were completed on 10 samples from Broken Spur, and TAG hydrothermal vent fields with dissolved iron concentrations between 19.01-90.25 nM.

cdm_data_type = Other
VARIABLES:
Cruise (unitless)
latitude (Latitude_deg_n, degrees_north)
longitude (Longitude_deg_e, degrees_east)
Station (unitless)
Geotraces_ID (unitless)
depth (Depth_m, m)
dFe_nM (nanomoles per liter (nmol L-1))
L1_nM (nanomoles per liter (nmol L-1))
L1_err_nM (nanomoles per liter (nmol L-1))
L2_nM (nanomoles per liter (nmol L-1))
L2_err_nM (nanomoles per liter (nmol L-1))
L3_nM (nanomoles per liter (nmol L-1))
... (9 more variables)


[Dissolved Organic Matter Sulfur and Carbon Analysis] - Dissolved organic matter sulfur and carbon analysis of samples collected between 2010 and 2021 from various locations globally (Resolving sources of marine DOM via novel sulfur isotope analyses)

Summary:
The following dataset of SPE (solid phase extracted) DOM (dissolved organic matter) accompanies Phillips et al. 2022 (doi: 10.1073/pnas.2209152119). Our project sought to address the question of where long-lived organic molecules that are dissolved in the oceans come from, in particular molecules containing sulfur (S). Our approach was to measure the relative abundance of two stable sulfur isotopes (S-32 and S-34) in these molecules, which is technically very difficult due to the presence of million-fold higher sulfate ions in seawater. We developed a new preparatory chemistry to adequately isolate these organic molecules, and a new elemental analyzer/mass spectrometry method to measure their isotope abundances with high precision at trace levels. We conducted these S isotope measurements on 100 samples of dissolved organic matter (DOM) that had been previously collected by our collaborators from around the world (Northeast Pacific oxygen minimum zone, Northeast Pacific Shelf, North Pacific Gyre, San Pedro Basin, Caeté Estuary, South Pacific Gyre, and the North Sea). We also collected 2 dozen new samples from oceanographic stations in the North Pacific Gyre (Hawaii Ocean Timeseries) and North Atlantic Gyre (Bermuda Atlantic Time Series). The dataset includes 1) sample information such as sample ID, sample location, station name, collection depth (ranging from 0 to 4800 meters), latitude and longitude, month and year sampled (ranging from 2010 to 2021); 2) elemental analysis such as sulfur isotope values (δ34S), carbon (C) isotope values (δ13C), and C:S molar ratios; 3) physical parameters from collaborators' CTD analysis, such as oxygen, salinity, fluorescence, and temperature; and 4) chemical data from collaborators such as dissolved nitrate, phosphate, silicate, and calculated DOC (dissolved organic carbon) and DOS (dissolved organic sulfur) concentrations. Our data show that DOM molecules have (34S/32S) isotope ratios that are entirely consistent with being formed from ocean sulfate, and inconsistent with being formed by reactions of hydrogen sulfide in anoxic porewaters. This result negates one of the leading hypotheses for how long-lived DOM forms, i.e. by reactions in anoxic sediments. Instead, this sharpens our focus on understanding how relatively short-lived biomolecules in the surface ocean are transformed into long-lived DOM molecules.

cdm_data_type = Other
VARIABLES:
Sample_ID (unitless)
Sample_Location (unitless)
Station (unitless)
... (23 more variables)


[Dissolved Oxygen Times Series] - Dissolved oxygen measurements collected at the height of El Niño at Jarvis Island in 2015 and 2016 (Skeletal Records of Coral Reef Bleaching in the Central Equatorial Pacific)

Summary:
This dataset contains dissolved oxygen measurements collected at the height of El Ni\u00f1o on 12-15 November 2015 and after severe El Ni\u00f1o conditions had subsided on 16-24 May 2016 for the west and east sides of Jarvis Island at 7-10 m depth.

cdm_data_type = Other
VARIABLES:
datetime_UTC (unitless)
latitude (degrees_north)
longitude (degrees_east)
Location_Label (unitless)
Dissolved_Oxygen (Volume Fraction Of Oxygen In Sea Water, milligrams per liter)
time (ISO Date Time UTC, seconds since 1970-01-01T00:00:00Z)


[Dissolved oxygen] - Dissolved oxygen from sediment cores collected on the R/V Nathaniel B. Palmer cruise NBP1601 to the West Antarctic continental shelf in January of 2016 (Organic Carbon Oxidation and Iron Remobilization by West Antarctic Shelf Sediments)

Summary:
Dissolved oxygen from sediment cores collected on the R/V Nathaniel B. Palmer cruise NBP1601 to the West Antarctic continental shelf in January of 2016.

cdm_data_type = Other
VARIABLES:
St_ID (unitless)
Core (unitless)
Profile (unitless)
Sample_Comment (unitless)
Depth (centimeters (cm))
O2 (micromolar (uM))
Month (unitless)
Day_Coll (unitless)
Year (unitless)
T_Coll (unitless)
Day_Prf (unitless)
T_Prf (unitless)
latitude (degrees_north)
longitude (degrees_east)
ISO_DateTime_UTC_Prof (ISO Date Time UTC Prof, unitless)
time (ISO Date Time UTC Coll, seconds since 1970-01-01T00:00:00Z)


[Dissolved phenols] - Concentrations of dissolved organic carbon and phenols from Polarstern cruise PS 94-ARK-XXIX/3 from August to October 2015 (Development and application of a high sensitivity, ultra low volume method to measure biomarkers of terrigenous organic matter in the open ocean)

Summary:
Concentrations of dissolved organic carbon and phenols from Polarstern cruise PS 94-ARK-XXIX/3 from August to October 2015.

cdm_data_type = Other
VARIABLES:
Station (unitless)
Cast (unitless)
Bottle (unitless)
time (Date Time UTC, seconds since 1970-01-01T00:00:00Z)
latitude (degrees_north)
longitude (degrees_east)
depth (m)
Temp (Temperature, degrees Celsius)
Salinity (Sea Water Practical Salinity, PSU)
DOC (micromoles per liter (umol/L))
Phenols (picomoles per liter (pmol/L))


[Dissolved trace metals and macronutrients from a 2014 IRNBRU cruise GoFlo Data] - Dissolved trace metals and macronutrients from samples collected using GoFlo on R/V Melville MV1405 (IRN-BRU) cruise in the California Current System in July 2014 (Accomplishment Based Renewal:   An iron limitation mosaic within the central California Current System)

Summary:
This dataset is a suite of dissolved trace metal concentrations, along with macronutrient concentrations, collected using a GoFlo on R/V Melville cruise MV1405 (IRN-BRU) while investigating the mosaic of the California Current System in July 2014. It includes depth profiles of an active upwelling site nearshore over the shelf in northern California (Station 2), a more aged upwelling site offshore of the shelf break in southern Oregon (Station 28), a station in the Santa Barbara Basin that got suboxic in the lower depths of the water column (Station 29), and a set of stations (9, 12 and 15) that show two cyclonic eddies, one two months younger (station 9) than the other (station 15), but both coming from roughly the same place and moving offshore, with station 12 in between them in an offshoot of the California Current. The chief scientist of the cruise was Ken Bruland. Trace metal samples were analyzed by Claire Till (nee Parker) as his graduate student. Nutrient samples were analyzed by Tyler Coale. See related datasets for additional samples using a regular rosette (macronutrient concentrations) and surface samples from a TowFish (macronutrient and dissolved trace metal concentrations) collected on MV1405.

cdm_data_type = Other
VARIABLES:
Sample_date (unitless)
latitude (degrees_north)
longitude (degrees_east)
Station_number (unitless)
Station_notes (unitless)
depth (m)
Nitrate_plus_nitrite (umol/kg)
Phosphate (umol/kg)
Silicate (umol/kg)
Fe (nmol/kg)
Y (pmol/kg)
Cd (pmol/kg)
La (pmol/kg)
Pb (pmol/kg)
Ce (pmol/kg)
... (7 more variables)


[Dissolved trace metals and macronutrients from a 2014 IRNBRU cruise Surface Data] - Dissolved trace metals and macronutrients from samples collected using a tow-fish system on R/V Melville MV1405 (IRN-BRU) cruise in the California Current System in July 2014 (Accomplishment Based Renewal:   An iron limitation mosaic within the central California Current System)

Summary:
This dataset is a suite of dissolved trace metal concentrations, along with macronutrient concentrations collected using a trace-metal clean towed-fish system on R/V Melville cruise MV1405 (IRN-BRU) while investigating the mosaic of the California Current System in July 2014. This dataset includes samples from transects 2, 5, 8, and 9. Transect 2 started at station 2 (an active upwelling site nearshore over the shelf in northern California; see related datasets) and followed the upwelled plume offshore. Transect 5 went through the eddy stations (stations 9, 12, and 15; see related datasets). Transects 8 and 9 went through the plume measured in station 28 (a more aged upwelling site offshore of the shelf break in southern Oregon; see related datasets). The chief scientist of the cruise was Ken Bruland. Trace metal samples were analyzed by Claire Till (nee Parker) as his graduate student. Nutrient samples were analyzed by Tyler Coale. See related datasets for depth profile samples using a regular rosette (macronutrient concentrations) and teflon-coated GoFlos (macronutrient and dissolved trace metal concentrations) collected on MV1405.

cdm_data_type = Other
VARIABLES:
time (Date_time_iso_utc, seconds since 1970-01-01T00:00:00Z)
latitude (degrees_north)
longitude (degrees_east)
Transect_number (unitless)
Nitrate (umol/kg)
Phosphate (umol/kg)
Silicate (umol/kg)
Fe (nmol/kg)
Y (pmol/kg)
Cd (pmol/kg)
La (pmol/kg)
Pb (pmol/kg)
Ce (pmol/kg)
Sc (pmol/kg)
Mn (nmol/kg)
Co (pmol/kg)
... (4 more variables)


[Distribution of dissolved barium in seawater determined using machine learning] - A spatially and vertically resolved global grid of dissolved barium concentrations in seawater determined using Gaussian Process Regression machine learning (The Speed, Signature, and Significance of Barium Transformations in Seawater)

Summary:
We present a spatially and vertically resolved global grid of dissolved barium concentrations ([Ba]) in seawater determined using Gaussian Process Regression machine learning. This model was trained using 4,345 quality-controlled GEOTRACES data from the Arctic, Atlantic, Pacific, and Southern Oceans. Model output was validated by assessing the accuracy of [Ba] simulations in the Indian Ocean, noting that none of the Indian Ocean data were seen by the model during training. We identify a model that can accurate predict [Ba] in the Indian Ocean using seven features: depth, temperature, salinity, as well as dissolved dioxygen, phosphate, nitrate, and silicate concentrations. This model achieves a mean absolute percentage error of 6.0 %, which we assume represents the generalization error. This model was used to simulate [Ba] on a global basis using predictor data from the World Ocean Atlas 2018. The global model of [Ba] is on a 1°x 1° grid with 102 depth levels from 0 to 5,500 m. The dissolved [Ba] output was then used to simulate dissolved Ba* (barium-star), which is the difference between 'observed' and [Ba] predicted from co-located [Si]. Lastly, [Ba] data were combined with temperature, salinity, and pressure data from the World Ocean Atlas to calculate the saturation state of seawater with respect to barite. The model reveals that the volume-weighted mean oceanic [Ba] and and saturation state are 89 nmol/kg and 0.82, respectively. These results imply that the total marine Ba inventory is 122(±7) ×10¹² mol and that the ocean below 1,000 m is at barite equilibrium.

cdm_data_type = Other
VARIABLES:
Station (unitless)
longitude (Longitude_degreese, degrees_east)
latitude (Latitude_degreesn, degrees_north)
Depth_m (meters (m))
dBa_nmol_kg (nanomoles per kilogram (nmol/kg))
omega_Ba (unitless)
Ba_star_nmol_kg (nanomoles per kilogram (nmol/kg))


[Distribution of Elacatinus lori settlers] - Distribution of E. lori settlers on sponge habitat from sampling in South Water Caye, Belize in 2015. (Collaborative Research: The Role of Larval Orientation Behavior in Determining Population Connectivity)

Summary:
Distribution of E. lori settlers on sponge habitat from sampling in South Water Caye, Belize in 2015.

cdm_data_type = Other
VARIABLES:
Date (unitless)
Sp_ID (unitless)
Sp_depth (feet)
Sp_depth_m (meters)
Sp_species (unitless)
Sp_size (centimeters)
Sp_tubes (count)
Res_pres (unitless)
Res_n (count)
Settler_pres (unitless)
Settler_n (count)


[Distribution of new settler Elacatinus lori settlers] - Distribution of new E. lori settlers arriving on sponge habitat in South Water Caye, Belize in 2015. (Collaborative Research: The Role of Larval Orientation Behavior in Determining Population Connectivity)

Summary:
Distribution of new E. lori settlers arriving on sponge habitat in South Water Caye, Belize in 2015.

cdm_data_type = Other
VARIABLES:
Date (unitless)
Lunar_day (day)
Sp_ID (unitless)
Sp_depth (feet)
Sp_depth_m (meters)
Sp_species (unitless)
Sp_size (centimeters)
Sp_tubes (number)
Res_pres (unitless)
Res_n (number)
Rep_pres (unitless)
New_set_pres (unitless)
New_set_n (number)
Ns1 (millimeters)
Ns2 (millimeters)
Ns3 (millimeters)
Ns4 (millimeters)
Ps_pres (unitless)
Ps_n (number)
Ps1 (millimeters)
Ps2 (millimeters)
Ps3 (millimeters)


[Diurnal gnathiid consumption] - Diurnal gnathiid consumption in fish sampled from shallow reef sites in Caribbean waters from May 2017 to Sep 2021 (Beyond Cleaning and Symbiosis: Ecology of 'Ticks of the Sea' on Coral Reefs)

Summary:
Specialist species have evolved to fill narrow niches but are especially susceptible to environmental change. With sufficient functional redundancy, ecosystem services can persist without specialists. Grooming behaviors are common in both terrestrial and aquatic organisms. However, in aquatic systems there is a heavy reliance on intraspecific mutualisms where specialist species groom or "clean" parasites off of host fishes.

Here, we sampled the gut contents of 709 fishes, representing 61 species and including both cleaner and non-cleaner fishes, to compare their consumption of gnathiid isopods, the most common fish ectoparasites. This dataset contains sample and collection metadata, including date, location, and method of sampling, as well as species, stage, length, and Gnathiid count for samples collected.

We found that cleaner fishes eat significantly more gnathiids, and eat them more frequently, compared to non-cleaner fishes. Our results highlight the importance of both dedicated and facultative cleaners as consumers of ectoparasites and show that their role cannot be supplanted by generalist consumers. Furthermore, we suggest that different cleaner species act as complementary rather than redundant specialists.

cdm_data_type = Other
VARIABLES:
Number (unitless)
ID (unitless)
Location (unitless)
latitude (degrees_north)
longitude (degrees_east)
Method (unitless)
Date (unitless)
Common_Name (unitless)
Species (unitless)
Family (unitless)
Stage (unitless)
Length (centimeters (cm))
Gnathiids (unitless)
Notes (unitless)
Gnathiid_count (unitless)


[Dive record, Zooglider BioSWOT-Med (BioSWOT-Med)] - Zooglider dive record from the BIOSWOT-Med cruise in the Northwestern Mediterranean Sea, March-May 2023 (Zooglider assessment of zooplankton frontal gradients across the BIOSWOT-Med region)

Summary:
These data are based on deployment of the Scripps Zooglider in collaboration with the French-led BIOSWOT-Med study in the Northwestern Mediterranean Sea in Spring 2023. This study was one of the Adopt-a-Crossover field studies carried out around the world in synchrony with the launch by NASA/CNES of the new SWOT satellite for enhanced ocean altimetry. We deployed Zooglider on 30 March 2023 from Palma, Majora using a small craft, then navigated it remotely to the BIOSWOT-Med study region. Initially Zooglider sampled to the east of Majorca and south of Menorca. Then we recovered Zooglider at sea, transported it to the center of an anticyclonic eddy north of Menorca, and redeployed it, navigating it from the eddy center across the eddy periphery. We then recovered it at sea on 8 May 2023, for a total mission duration of 40 days. Zooglider data were telemetered back to our server each time the vehicle surfaced and the data were immediately posted on our public website, available to all BIOSWOT-Med participants and any member of the general public. This dataset presents the dive record and location information for Zooglider's track.

cdm_data_type = Other
VARIABLES:
Dive_number (unitless)
time (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)
from_date_UTC (unitless)
to_date_UTC (unitless)
sample_volume_ml (mL)
from_time_UTC (unitless)
to_time_UTC (unitless)
latitude_start (decimal degrees)
longitude_start (decimal degrees)
latitude (Latitude_mid_ascent_75, degrees_north)
longitude (Longitude_mid_ascent_75, degrees_east)
latitude_end (decimal degrees)
longitude_end (decimal degrees)
max_pressure (decimbars)


[DOC and DON Concentrations] - DOC and DON concentrations of waters collected from the North Pacific Subtropical Gyre and Central North Atlantic (The Microbial Nitrogen Pump: Coupling 14C and Compound-specific Amino Acids to Understand the Role of Microbial Transformations in the Refractory Ocean DON Pool)

Summary:
DOC and DON concentrations of waters collected from the North Pacific Subtropical Gyre and Central North Atlantic. These data were published in Broek et al. (2019) and Broek et al. (2017).

cdm_data_type = Other
VARIABLES:
location (unitless)
year (unitless)
season (unitless)
depth (m)
DOC (micromoles per liter (umol/L))
DOC_stdev (micromoles per liter (umol/L))
DON (micromoles per liter (umol/L))
DON_stdev (micromoles per liter (umol/L))


[DOC and TOC data] - Dissolved and total organic carbon concentrations of seawater collected in the northwestern Atlantic in 2024 during three cruises aboard the Atlantic Explorer (AE2412, AE2426b, AE2427) (Collaborative Research: Quantifying the role of microbial extracellular vesicles in marine dissolved organic matter production and consumption)

Summary:
Data on the concentration of dissolved organic carbon and total organic carbon provide the environmental context for us to understand the role that extracellular vesicles play in marine organic carbon cycling. These data are from discrete seawater samples collected from Niskin bottles or from the underway systems during three cruises (AE2412, AE2426b, AE2427) conducted in 2024. All cruises were in the northwestern Atlantic Ocean. Seawater was whole seawater for total organic carbon or 0.2 uM-filtered seawater for dissolved organic carbon. Samples were analyzed by high temperature combustion. The samples were collected and processed by Krista Longnecker of Woods Hole Oceanographic Institution.

cdm_data_type = Other
VARIABLES:
Cruise (dimensionless)
time (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)
latitude (degrees_north)
longitude (degrees_east)
Cast (dimensionless)
depth (m)
Source (dimensionless)
SampleType (dimensionless)
NPOC (micromolar (uM))


[Doliolid diet: lab chlorophyll, carbon, nitrogen] - Doliolid abundance, carbon and nitrogen content, chlorophyll-a, temperature, salinity, and depth from CTD casts from 25 RV Savannah cruises at the South Atlantic Bight, 2015-2017 (The cryptic diet of the globally significant pelagic tunicate Dolioletta gegenbauri (Uljanin, 1884.))

Summary:
Doliolid abundance, carbon and nitrogen content, chlorophyll-a, temperature, salinity, and depth from CTD casts from 25 RV Savannah cruises at the South Atlantic Bight, 2015-2017.

cdm_data_type = Other
VARIABLES:
cruise_id (unitless)
alt_cruise_id (unitless)
cast (unitless)
date_local (unitless)
depth (m)
latitude (degrees_north)
longitude (degrees_east)
temp_surface (degrees Celsius)
temp_bottom (degrees Celsius)
sal_surface (Practical Salinity Units (PSU))
sal_bottom (Practical Salinity Units (PSU))
chla_surface_fluor (Concentration Of Chlorophyll In Sea Water, mg m-3)
chla_bottom_fluor (Concentration Of Chlorophyll In Sea Water, mg m-3)
chla_nr_bot_extr (Concentration Of Chlorophyll In Sea Water, mg m-3)
phaeo_total_nr_bot_extr (mg m-3)
gt8uml_chla_nr_bot_extr (Concentration Of Chlorophyll In Sea Water, mg m-3)
gt8uml_phaeo_nr_bot_extr (mg m-3)
POC_ug (ug C L-1)
POC_moles (moles C L-1)
PON_ug (ug N L-1)
PON_moles (moles N L-1)
lt10um_POC_ug (ug C L-1)
lt10um_POC_moles (moles C L-1)
lt10um_PON_ug (ug N L-1)
lt10um_PON_moles (moles N L-1)
POC_13C (POC 13 C, per mil vs PDB standard)
... (11 more variables)