[iioe_mysids] - Counts of Mysidacea species collected during the International Indian Ocean Expeditions (IIOE) aboard multiple cruises in the Indian Ocean from 1962-1965 (IIOE project) (International Indian Ocean Expedition)

Counts of Mysidacea species collected during the International Indian Ocean Expeditions (IIOE) in the Indian Ocean. Mysidacea were collected by several ships that took part in the IIOE from 1962 to 1965. Though collections were taken from all over the Indian Ocean, the bulk of the material comes from the seas around the Indian Peninsula.

cdm_data_type = Other
VARIABLES:
vessel (text)
year (unitless)
cruise (text)
station (unitless)
latitude (degrees_north)
longitude (degrees_east)
date_local (unitless)
month_local (unitless)
day_local (unitless)
time_local (unitless)
day_night_flag (unitless)
depth_w (Depth, meters)
reference (unitless)
ISO_DateTime_Local (ISO Date Time Local, unitless)
species_WoRMS (Species Wo RMS, text)
species_orig (text)
count (unitless)


[Illumina Sequences] - Illumina sequencing data from sediment strata collected from the cold seeps of Hydrate Ridge, metalliferous sediments of Juan de Fuca Ridge, and organic-rich hydrothermal sediments of Guaymas Basin (Collaborative Research: The Role of Iron-oxidizing Bacteria in the Sedimentary Iron Cycle: Ecological, Physiological and Biogeochemical Implications)

Illumina sequencing data (NCBI accession numbers) from sediment strata collected from the cold seeps of Hydrate Ridge, metalliferous sediments of Juan de Fuca Ridge, and organic-rich hydrothermal sediments of Guaymas Basin.

cdm_data_type = Other
VARIABLES:
sequence_accession_number (unitless)
link (unitless)
Species_Names (unitless)
description_of_the_types_of_sequences (unitless)
locations_where_species_were_collected (unitless)
latitude_dms (Latitude, unitless)
longitude_dms (Longitude, unitless)
latitude (degrees_north)
longitude (degrees_east)
Vessel (unitless)
Dive_number (unitless)
sequencing_and_analysis_methods (unitless)
instrument_and_model (unitless)
Analysis_methods (unitless)


[Imaging Pulse Amplitude Modulator Fluorometer 2017] - Imaging pulse amplitude modulator fluorometer data collected from Acropora cervicornis under different pH and temperature treatments from experiments at Summerland Key, Florida from July to September 2017 (CAREER: Applying phenotypic variability to identify resilient Acropora cervicornis genotypes in the Florida Keys)

Imaging pulse amplitude modulator fluorometer data collected from Acropora cervicornis under different pH and temperature treatments from experiments at Summerland Key, Florida  (24.6616,-81.4538) from July to September 2017.

cdm_data_type = Other
VARIABLES:
Tank (unitless)
Genotype (unitless)
pH (unitless)
Temp (Temperature, unitless)
mYield (M Yield, unitless)
mETR (M ETR, umol electrons m–2 s–1)
alpha (change in ETR over increasing values of PAR)


[Imaging Pulse Amplitude Modulator Fluorometer Data 2016] - Imaging pulse amplitude modulator fluorometer data collected during Acropora cervicornis experiments at Summerland Key, Florida from July to September of 2016 (CAREER: Applying phenotypic variability to identify resilient Acropora cervicornis genotypes in the Florida Keys)

This dataset contains Imaging Pulse Amplitude Modulator (IPAM) Fluorometer data collected during various Acropora cervicornis treatment experiments. The data include photosynthetic maximum yield (mY), maximum electron transport rate (mETR), the irradiance at which maximum ETR is reached (mPAR), and the initial slope of the ETR curve (alpha). The experiments were conducted in tanks at Summerland Key, Florida (24.6616,-81.4538) between 2016-07-12 and 2016-09-09 with corals from a nursery located near Looe Key Reef (24.5636, -81.2786).

cdm_data_type = Other
VARIABLES:
Date (unitless)
Genotype (unitless)
Tank (unitless)
mYield (M Yield, unitless but represents the proportion of electrons being used for photosynthesis; potential values range from 0 - 1)
mETR (M ETR, micromoles of electrons per meter per second (umol electrons/m/s))
mPAR (M PAR, micromoles of photons per meter per second (umol photons/m/s))
alpha (micromoles of electrons per meter per second (umol electrons/m/s))


[In situ biogeochemical time-series in Bermuda 2017] - In situ biogeochemical measurements including pCO2, pH, alkalinity, oxygen, temperature and salinity for a time-series in Bermuda, September 2017 (A new tool for ocean carbon cycle and ocean acidification studies)

In situ biogeochemical measurements including pCO2, pH, alkalinity, oxygen, temperature and salinity for a time-series in Bermuda, September 2017.

cdm_data_type = Other
VARIABLES:
time (Date Time UTC, seconds since 1970-01-01T00:00:00Z)
CTD_Sal_7m (unitless)
CTD_Temp_7m (degrees Celsius)
S22_pCO2_surface (S22 P CO2 Surface, micro-atmospheres (uatm))
S22_Temp_surface (degrees Celsius)
S22_DO_surface (micromol/kilogram (umol/kg))
S53_pCO2_7m (S53 P CO2 7m, micro-atmospheres (uatm))
S53_Temp_7m (degrees Celsius)
S53_DO_7m (micromol/kilogram (umol/kg))
S13_pH_7m (S13 P H 7M, unitless; pH scale)
S13_Temp_7m (degrees Celsius)
SA03_Date_UTC (unitless)
SA03_Alkalinity_7m (micromol/kilogram (umol/kg))
SA03_Temp_7m (degrees Celsius)
Benchtop_Date_UTC (unitless)
Benchtop_Alkalinity (micromol/kilogram (umol/kg))


[In situ dissolved oxygen] - In situ dissolved oxygen of experimental chambers and ambient sensors acquired in the shallow subtidal shore-accessible site in Bon Secour Bay, Mobile Bay, Alabama, USA between August 7-12, 2021 (CAREER: Mechanisms of bioturbation and ecosystem engineering by benthic infauna)

This dataset is part of a field study examining the effect of diel oxygen cycling on faunal activity, and in turn sediment oxygen demand. The field experiment used in situ flow-through benthic chambers to measure oxygen consumption, as described in the methods paper Gadeken et al 2023. The chambers were deployed and retrieved in three ~24 hour deployments in a shallow subtidal area of Bon Secour Bay in Mobile Bay, AL, in August 2021. This dataset contains streamlined data from the HOBO dissolved oxygen (DO) loggers and the log time of when the chamber system flushes the overlying water in the chamber and starts a new incubation.

cdm_data_type = Other
VARIABLES:
latitude (degrees_north)
longitude (degrees_east)
date_time (unitless)
DO (mg L-1)
temperature (Degrees Fahrenheit)
Deployment (unitless)
Chamber_Ambient (unitless)


[In situ pCO2 manipulation experiments 2010-2011] - Rates of primary and bacterial production measured in situ under ambient and elevated pCO2 (750 µatm) from the Hawaiian Ocean Time Series near Station ALOHA from 2010-2011. (Oceanic diazotroph community structure and activities in a high carbon dioxide world)

Rates of primary and bacterial production measured in situ under ambient and elevated pCO2 (750 \u00b5atm) from the Hawaiian Ocean Time Series near Station ALOHA from 2010-2011.

cdm_data_type = Other
VARIABLES:
cruise_id (no units)
station (text)
cast (unitless)
date (unitless)
year (unitless)
month (unitless)
day (unitless)
time2 (Time, unitless)
latitude (degrees_north)
longitude (degrees_east)
depth (m)
PP_mean_10um (micromol C/liter/day)
PP_std_dev_10um (micromol C/liter/day)
PP_num_obs_10um (unitless)
PP_mean_750uatm_pco2_10um (micromol C/liter/day)
PP_std_dev_750uatm_pco2_10um (micromol C/liter/day)
PP_num_obs_750uatm_pco2_10um (unitless)
PP_mean_2um (micromol C/liter/day)
PP_std_dev_2um (micromol C/liter/day)
PP_num_obs_2um (unitless)
PP_mean_750uatm_pco2_2um (micromol C/liter/day)
PP_std_dev_750uatm_pco2_2um (micromol C/liter/day)
PP_num_obs_750uatm_pco2_2um (unitless)
PP_mean_0pt2um (micromol C/liter/day)
PP_std_dev_0pt2um (micromol C/liter/day)
PP_num_obs_0pt2um (unitless)
... (20 more variables)


[In situ prokaryotic and viral abundance] - In situ prokaryotic and viral abundance from hydrothermal vent site Tica samples from R/V Falkor (too) cruise FKt230629, East Pacific Rise in July of 2023 (The Underworld of Hydrothermal Vents)

The dataset contains data on in situ prokaryotic and viral abundance as sampled during the R/V Falkor (too) cruise FKt230629 in July of 2023.  Samples were collected using a suction-sampler operated onboard the remotely-operated vehicle (ROV) SuBastian at the hydrothermal vent site Tica.

cdm_data_type = Other
VARIABLES:
subsample_id (unitless)
habitat (unitless)
latitude (degrees_north)
longitude (degrees_east)
date (unitless)
time_local (Time, unitless)
time (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)
depth (m)
prokaryotes (10000 prokaryotic cells per milliliter (10^4 mL^-1))
viruses (10000 viruses per milliliter (10^4 mL^-1))


[In situ seawater temperature at Heron Island (2015-2020)] - Measurements of seawater temperature, depth, and photosynthetically active radiation (PAR) across seven sites at Heron Island, southern Great Barrier Reef from 2015 to 2020 (Influence of environmental pH variability and thermal sensitivity on the resilience of reef-building corals to acidification stress)

Increasing ocean temperatures threaten coral reefs globally, but corals residing in habitats that experience high thermal variability are thought to be better adapted to survive climate-induced heat stress. Here, we used long-term ecological observations and in situ temperature data from Heron Island, southern Great Barrier Reef to investigate how temperature dynamics within various thermally variable vs. thermally stable reef habitats change during a marine heatwave and the resulting consequences for coral community survival. This data set includes the in-field measurements of seawater temperature, depth, and photosynthetically active radiation (PAR) across seven sites at Heron Island, southern Great Barrier Reef.

cdm_data_type = Other
VARIABLES:
ISO_DateTime_AEST (unitless)
time (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)
Site (unitless)
Latitude (degrees_north)
longitude (degrees_east)
Date_AEST (unitless)
depth (m)
PAR (micromoles quanta per square meter per second (umol quanta m-2 s-1))
Temperature (degrees Celsius)


[In situ sediment characteristics] - In situ sediment characteristics acquired in the shallow subtidal shore-accessible site in Bon Secour Bay, Mobile Bay, Alabama, USA between August 7-12, 2021 (CAREER: Mechanisms of bioturbation and ecosystem engineering by benthic infauna)

This dataset is part of a field study examining the effect of diel oxygen cycling on faunal activity, and in turn sediment oxygen demand. The field experiment used in situ flow-through benthic chambers to measure oxygen consumption, as described in the methods paper Gadeken et al 2023. The chambers were deployed and retrieved in three ~24 hour deployments in a shallow subtidal area of Bon Secour Bay in Mobile Bay, AL, in August 2021. This dataset contains sediment characteristic information from three cores taken within 10m of the deployment location.

cdm_data_type = Other
VARIABLES:
Sampling_Date (unitless)
latitude (degrees_north)
longitude (degrees_east)
Core (unitless)
Section (centimeter (cm))
depth (m)
tin_ID (unitless)
Salinity (unitless)
tin_weight (gram (gr))
tin_wet (gram (gr))
tin_dry (gram (gr))
tin_burned (gram (gr))
wc_percent (percent (%) weight)
porosity (percent (%) volume)
loi_percent (percent (%) weight)


[In situ sediment oxygen demand and infauna] - Processed dissolved oxygen and infauna of experimental chambers and ambient sensors acquired in the shallow subtidal shore-accessible site in Bon Secour Bay, Mobile Bay, Alabama, USA between August 7-12, 2021 (CAREER: Mechanisms of bioturbation and ecosystem engineering by benthic infauna)

This data set includes data and scripts from a field study examining the effect of diel oxygen cycling on faunal activity, and in turn sediment oxygen demand. The field experiment used in situ flow-through benthic chambers to measure oxygen consumption, as described in the methods paper Gadeken et al 2023 in L&O:Methods. The chambers were deployed and retrieved in three ~24 hour deployments in a shallow subtidal area of Bon Secour Bay in Mobile Bay, AL, in August 2021. Included in this data set are the raw data files of oxygen and temperature measurements from Onset HOBO DO loggers integrated into the benthic chamber system, annotated MATLAB scripts and workspaces detailing data processing and analysis, and faunal community data from the benthic chambers.

cdm_data_type = Other
VARIABLES:
latitude (degrees_north)
longitude (degrees_east)
StartTime (unitless)
dayfrac (unitless)
Chamber (unitless)
SOD (millimoles per square meter per day (mmol m-2 d-1))
InitialDO (milligrams per liter (mg L-1))
biomass (grams (g))
deployment (unitless)
sample (unitless)


[In-field temperature data Kane'ohe Bay] - In-field temperature data Kane'ohe Bay, O'ahu, Hawai'i from 2013 to 2023 (RAPID: Collaborative Research: Disentangling the effects of heat stress versus bleaching phenotype on coral performance)

Increasingly frequent marine heatwaves are devastating coral reefs. Corals that survive these extreme events must rapidly recover if they are to withstand subsequent events, and long-term survival in the face of rising ocean temperatures may hinge on recovery capacity and acclimatory gains in heat tolerance over an individual's lifespan. To better understand coral recovery trajectories in the face of successive marine heatwaves, we monitored the responses of bleaching-susceptible and bleaching-resistant individuals of two dominant coral species in Hawaiʻi, Montipora capitata and Porites compressa, over a decade that included three marine heatwaves. This dataset includes the in situ temperature data from Kāne'ohe Bay, O'ahu, Hawai'i from 2013-2023.

cdm_data_type = Other
VARIABLES:
time (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)
Temperature (degrees C)
Date (unitless)
time_local (Time, unitless)
Site (unitless)
hour (unitless)
year (unitless)
day (unitless)
month (unitless)


[In-situ pump chemical data] - Chemical analyses of size-fractionated particle samples collected during the BIOS-SCOPE cruise AE1819 in the Sargasso Sea in July 2018 (Bermuda Institute of Ocean Sciences Simons Collaboration on Ocean Processes and Ecology)

Included in this dataset are chemical analyses of size-fractionated particle samples collected during BIOS-SCOPE project cruises in the Sargasso Sea starting in 2018. Samples were collected using McLane WTS-LV in-situ pumps and analyzed for phytol concentration, bulk particulate organic carbon (POC), stable carbon isotope composition, and nitrogen and carbon isotope composition of amino acids.

cdm_data_type = Other
VARIABLES:
Sample (unitless)
Cruise (unitless)
Date (unitless)
Latitude (degrees_north)
longitude (degrees_east)
size_fraction_um (micrometers (um))
split_type (unitless)
depth (Depth_m, m)
total_phytol_from_chlorophyll_concentration_ng_L (nanograms per liter (ng/L))
phytol_concentration_sd_ng_L (nanograms per liter (ng/L))
d13C_phytol_corrected_value_per_mil (per mil)
d13C_phytol_sd_per_mil (per mil)
d13C_POC_per_mil (per mil)
d13C_POC_sd_per_mil (per mil)
POC_concentration_ug_L (micrograms per liter (ug/L))
d13C_THAA_per_mil (per mil)
d13C_THAA_sd_per_mil (per mil)
TP_from_d15N_AA (unitless)
TP_sd (unitless)


[In-situ pump data] - TPC, PIC, POC, TPN, and Th-234 from in-situ pumps at the Porcupine Abyssal Plain Sustained Observatory (PAP-SO) site in the Northeast Atlantic Ocean during RRS Discovery cruise DY077 in April of 2017 (Collaborative Research:   Are all traps created equal?  A multi-method assessment of the collection and detection of sinking particles in the ocean)

TPC, PIC, POC, TPN, and Th-234 from in-situ pumps at the Porcupine Abyssal Plain Sustained Observatory (PAP-SO) site in the Northeast Atlantic Ocean during RRS Discovery cruise DY077 in April of 2017.

cdm_data_type = Other
VARIABLES:
deployment (unitless)
station (unitless)
depth (m)
pore_size (micrometers (um))
latitude (degrees_north)
longitude (degrees_east)
date_start (unitless)
time_start (unitless)
time (ISO Date Time Start, seconds since 1970-01-01T00:00:00Z)
date_end (unitless)
time_end (unitless)
volume (liters (L))
TPN (micromoles per liter (umol/L))
TPN_err (micromoles per liter (umol/L))
TPC (micromoles per liter (umol/L))
TPC_err (micromoles per liter (umol/L))
PIC (Particulate Inorganic Carbon, micrograms per liter (ug/L))
PIC_err (micrograms per liter (ug/L))
POC (Particulate Organic Carbon, micromoles per liter (umol/L))
POC_err (micromoles per liter (umol/L))
Th234_part (disintegration per minute per liter (dpm/L))
Th234_part_err (disintegration per minute per liter (dpm/L))


[Incubation data for Mytilus californianus calcification] - Incubation data for Mytilus californianus calcification from January to April 2022 (OA decoupling project) (Invertebrate calcification and behavior in seawater of decoupled carbonate chemistry)

Calcification is vital to marine organisms that produce calcium carbonate shells and skeletons. However, how calcification is impacted by ongoing environmental changes, including ocean acidification, remains incompletely understood due to complex relationships among the carbonate system variables hypothesized to drive calcification.

Here, we experimentally decouple these drivers in an exploration of shell formation in adult marine mussels, Mytilus californianus. In contrast to models that focus on single parameters like calcium carbonate saturation state, our results implicate two independent factors, bicarbonate concentration and seawater pH, in governing calcification. While qualitatively similar to ideas embodied in the related substrate-inhibitor ratio (bicarbonate divided by hydrogen ion concentration), our data highlight that merging bicarbonate ion and hydrogen ion concentrations into a simple quotient obscures important features of calcification. Considering a dual-parameter framework improves mechanistic understanding of how calcifiers interact with complex and changing chemical conditions.

cdm_data_type = Other
VARIABLES:
species (unitless)
AphiaID (unitless)
LSID (unitless)
module (unitless)
date_local (unitless)
start_datetime_local (unitless)
ISO_Start_DateTime_UTC (unitless)
duration (hours)
salinity (PSU)
temperature (degrees Celcius (c))
calcification (umol hr^-1 g^-0.71592)
tissue_mass (grams (g))
shell_mass (grams (g))
wet_mass (grams (g))
... (24 more variables)


[Incubation Data] - Vascular plant and microbial biomarkers of dissolved organic matter data from incubation experiments (Collaborative Research:   Calibration and application of vascular plant and aqueous microbial biomarkers to examine transformations of dissolved organic matter)

Incubation experiments were conducted in the dark or using a dark/light cycle. Incubations conducted in the dark alone are classified as \microbial, and incubations using a dark/light cycle are classified as \coupled\.

cdm_data_type = Other
VARIABLES:
incubation_type (unitless)
site_type (unitless)
time_point (unitless)
days (days)
hours (hours)
Exposure (hours)
Dose (MJ/m2)
Irradiance (W/m2)
DOC_mg_L (mg/L)
DOC_mM (DOC M M, mM)
Fuc (nanomoles per liter (nmol/L))
Rha (nanomoles per liter (nmol/L))
Ara (nanomoles per liter (nmol/L))
Gal (nanomoles per liter (nmol/L))
Glu (nanomoles per liter (nmol/L))
Man (nanomoles per liter (nmol/L))
Xyl (nanomoles per liter (nmol/L))
D_Asx (nanomoles per liter (nmol/L))
L_Asx (nanomoles per liter (nmol/L))
D_Glx (nanomoles per liter (nmol/L))
L_Glx (nanomoles per liter (nmol/L))
D_Ser (nanomoles per liter (nmol/L))
L_Ser (nanomoles per liter (nmol/L))
D_His (nanomoles per liter (nmol/L))
L_His (nanomoles per liter (nmol/L))
... (69 more variables)


[Incubation in diffuse flow vent fluids - Crab Spa] - Results from shipboard high-pressure incubations of diffuse flow vent fluids collected from the Crab Spa and Alvinella sites at East Pacific Rise during the AT26-10 expedition, Jan. 2014 (Microbial Communities at Deep-Sea Vents project) (An Integrated Study of Energy Metabolism, Carbon Fixation, and Colonization Mechanisms in Chemosynthetic Microbial Communities at Deep-Sea Vents)

This dataset includes results from shipboard high-pressure incubations of
diffuse flow vent fluids collected from the Crab Spa (9.8398\u00ba N,
104.2913\u00ba W) and Alvinella (9.8398\u00ba N, 104.2915\u00ba W) sites at
East Pacific Rise during the AT26-10 oceanographic expedition in January 2014.
Reported parameters include dates and time elapsed, flow rate, temperature,
pressure, and pH, and concentrations of NO3, NH4, H2, H2S, CH4.

Vent fluids used in shipboard incubations were corrected from diffuse flow
vent sites at the East Pacific Rise (2503 m): Crab Spa (9.8398\u00ba N,
104.2913\u00ba W) and Alvinella (9.8398\u00ba N, 104.2915\u00ba W) (see
description in McNichol et al. [2016]). Fluids were collected using isobaric
gas-tight samplers [Seewald et al., 2002] prior to their transfer to the
shipboard continuous culture system [Foustoukos and Perez-Rodriguez, 2015].
Here, high-pressure incubations (250 bars) were conducted at mesophilic (30
\u00baC) and thermophilic (50 \u00baC) conditions to constrain the function
and metabolic rates of denitrifying and DNRA microbial communities residing at
Crab Spa and Alvinella, respectively. To enhance the activity of nitrate-
respiring anaerobic bacteria, an NO3- (5 mm) and H2(aq) (1.30 mM)-enriched
medium was introduced in the high-pressure incubations under strictly
anaerobic conditions. Dissolved HCO3- (7.3 mm, 13C labeled) was used as added
carbon source. Vent fluids were introduced at a flow rate of 0.042 mL/min,
while growth medium was added at a rate of 0.0042 mL/min. The two sets of
experiments were performed for 356 (Crab Spa) and 50 hours (Alvinella). Direct
cell counts were conducted by staining cells with 0.1% acridine orange and
counting them with a fluorescence microscope. 15N/14N isotopic analysis of the
NO3-, NH4+ and biomass were conducted with a Thermo Scientific Delta VPlus
mass spectrometer and CE Instruments NA 2500 series elemental analyzer (EA).

References:

Foustoukos, D., and I. Perez-Rodriguez (2015), A continuous culture system for
assessing microbial activities in the piezosphere, Applied and Environmental
Microbiology, 81(19), 6850-6856.

McNichol, J., S. P. Sylva, F. Thomas, C. D. Taylor, S. M. Sievert, and J. S.
Seewald (2016), Assessing microbial processes in deep-sea hydrothermal systems
by incubation at in situ temperature and pressure, Deep Sea Research Part I:
Oceanographic Research Papers, 115, 221-232.

Seewald, J. S., K. W. Doherty, T. R. Hammar, and S. P. Liberatore (2002), A
new gas-tight isobaric sampler for hydrothermal fluids, Deep-Sea Research,
Part I: Oceanographic Research Papers, 49(1), 189-196.

cdm_data_type = Other
VARIABLES:
description (unitless)
... (15 more variables)


[Incubations: cell abundance, carbon fixation rates, nitrates] - Microbial cell abundance,carbon fixation rates, and nitrate concentrations during shipboard incubations of vent fluids at the diffuse-flow vent Crab Spa, East Pacific Rise on RV/Atlantis cruise AT37-12, May 2017 (Collaborative Research: Environmental Drivers of Chemoautotrophic Carbon Production at Deep-Sea Hydrothermal Vents - Comparative Roles of Oxygen and Nitrate)

Microbial cell abundance, carbon fixation rates, and nitrate concentrations during shipboard incubations of vent fluids at the diffuse-flow vent Crab Spa, East Pacific Rise in the Eastern Tropical North Pacific (ETNP) on RV/Atlantis cruise AT37-12, May 2017.

cdm_data_type = Other
VARIABLES:
incubation (unitless)
time_elapsed (hours)
cell_abund (cells/milliliter)
carbon_fix (microgram Carbon/liter/day)
NOX (micromol/liter)


[Indian Ocean Sediment Traps] - Indian Ocean Sediment Trap Data collected from R/V Roger Revelle Cruise RR2201 in the Eastern Indian Ocean (Argo Basin) during February 2022 (BLOOFINZ-IO project) (Collaborative Research: Mesoscale variability in nitrogen sources and food-web dynamics supporting larval southern bluefin tuna in the eastern Indian Ocean)

The dataset contains sediment trap data collected from the R/V Roger Revelle during cruise RR2201 in the Eastern Indian Ocean (Argo Basin) from February 2022. The data, part of the BLOOFINZ-IO project, includes measurements of particulate organic carbon, nitrogen flux, carbon and nitrogen isotopes, chlorophyll a, and phaeopigment flux. The sediment traps were deployed using VERTEX-style surface-tethered systems, with samples processed for isotope analysis and other biochemical analyses.

cdm_data_type = Other
VARIABLES:
Cruise (unitless)
Cycle (unitless)
depth (m)
Date_Deployed (unitless)
Date_Recovered (unitless)
Duration (days)
Deployment_Latitude (degrees_north)
longitude (Deployment_longitude, degrees_east)
latitude (Recovery_latitude, degrees_north)
Recovery_Longitude (degrees_east)
Corg (mg C m-2 d-1)
sigma_Corg (mg C m-2 d-1)
Norg (mg N m-2 d-1)
sigma_Norg (mg N m-2 d-1)
d13C (units)
sigma_d13C (units)
d15N (units)
sigma_d15N (units)
Chl (mg Chl a m-2 d-1)
sigma_Chl (mg Chl a m-2 d-1)
Phaeo (mg Chl a equivalents m-2 d-1)
sigma_Phaeo (m-2 d-1)


[Infauna abundance and biomass] - In situ infauna abundance and biomass of experimental sediment chambers acquired in the shallow subtidal shore-accessible site in Bon Secour Bay, Mobile Bay, Alabama, USA between August 7-12, 2021 (CAREER: Mechanisms of bioturbation and ecosystem engineering by benthic infauna)

This dataset is part of a field study examining the effect of diel oxygen cycling on faunal activity, and in turn sediment oxygen demand. The field experiment used in situ flow-through benthic chambers to measure oxygen consumption. The chambers were deployed and retrieved in three ~24 hour deployments in a shallow subtidal area of Bon Secour Bay in Mobile Bay, AL, in August 2021. This dataset contains the abundances of all macrofaunal taxa as well as the total biomass and the biomass of some major taxa found in each of the chambers. The Abunance data have not been normalized to meters squared. The biomass values have been normalized to meters squared from the values taken from the chambers, which occupy a smaller area.

cdm_data_type = Other
VARIABLES:
Sampling_Date (unitless)
latitude (degrees_north)
longitude (degrees_east)
Sample_ID (unitless)
JuvenileCrab (individuals per chamber)
Shrimp (individuals per chamber)
Amphipoda (individuals per chamber)
Corophiidae (individuals per chamber)
Ampeliscidae (individuals per chamber)
Tanaidaceae (individuals per chamber)
Capitellidae (individuals per chamber)
Nereididae (individuals per chamber)
Spionidae (individuals per chamber)
Phyllodocidae (individuals per chamber)
Orbiniidae (individuals per chamber)
Tellinidae (individuals per chamber)
Mactridae (individuals per chamber)
Echiura (individuals per chamber)
Microdesmidae (individuals per chamber)
Abundance (individuals)
... (9 more variables)


[Infauna and sediment property data collected off the Alabama coast before and after Hurricane Sally (2020-2021)] - Infaunal community composition and sediment grain size distribution, porosity, and organic content of sediment cores collected in the Northern Gulf of Mexico off the Alabama (USA) coast during 2020 and 2021 before and after Hurricane Sally (CAREER: Mechanisms of bioturbation and ecosystem engineering by benthic infauna)

This dataset consists of infaunal community composition and sediment grain size distribution, porosity, and organic content of sediment cores in addition to bottom water salinity, dissolved oxygen, and temperature collected from 9 sites at 5, 12 and 20 meters depth in the Northern Gulf of Mexico off the Alabama (USA) coast before and after Hurricane Sally, which occurred in 2020.

cdm_data_type = Other
VARIABLES:
Site (unitless)
latitude (degrees_north)
longitude (degrees_east)
WaterDepth_m (meters (m))
Date (unitless)
TimeAfterSally_d (days)
Rep (unitless)
Actiniaria (indivduals per core)
Nemertea (indivduals per core)
Platyhelminthes (indivduals per core)
Aspidosiphonidae (indivduals per core)
Golfingiidae (indivduals per core)
Thalassematidae (indivduals per core)
Ampharetidae (indivduals per core)
Acoetidae (indivduals per core)
Amphinomidae (indivduals per core)
Capitellidae (indivduals per core)
Cirratulidae (indivduals per core)
Cossuridae (indivduals per core)
Eulepethidae (indivduals per core)
Eunicidae (indivduals per core)
Flabelligeridae (indivduals per core)
Glyceridae (indivduals per core)
Goniadidae (indivduals per core)
... (115 more variables)


[Inferno vent plume proteins-Av1] - Proteins identified from the black smoker chimney Inferno hydrothermal vent plume meta-proteome - replicate Av1 - on the Axial seamount off the coast of Washington in 2011. (Mixotrophic bacteria and the cryptic marine sulfur cycle: Mechanisms of carbon assimilation and sulfur oxidation in the Arctic96BD-19 GSO clade)

Proteins identified in the Inferno hydrothermal vent plume meta-proteome
(replicate Av1).\u00a0 Only proteins identified by peptides with a protein
probability >0.9 are listed.\u00a0

These data are reported as Supplementary Table 3 and discussed in [Mattes et
al., 2013](\\http://dmoserv3.bco-
dmo.org/data_docs/SulfurOxidizers/Mattes_2013_PlumeProt.pdf\\).
(doi:10.1038/ismej.2013.113)

The FASTA information in the data was expanded to include the metadata when
those FASTA headers were linked to GenBank.\u00a0

Proteins that were identified in biological replicate Av2 that were not
identified in biological replicate Av1. (GSO: Gamma Sulfur Oxidizer)

 \u00a0

\u00a0

\u00a0

\u00a0

\u00a0

\Although fewer proteins were identified in Av2, nearly all (94%) of the
proteins identified in Av2 were also identified in Av1.\u00a0 Differences in
the total number of proteins identified in replicate samples may result from
differences in the amount of biomass obtained during sample processing.\

DMO notes:
 Put multiple FASTA entries on separate lines
 Split out one number in FASTA header for linking
 Left it sorted by Total Independent Spectra column
 Added linkage column
 Removed commas in 'consensus annotation' column (signals database to put in
new column)
 Reordered columns to put KEGG last -- much longer than any other column

cdm_data_type = Other
VARIABLES:
entry (number)
... (10 more variables)


[Initial behavior of lionfish at different prey densities] - Initial lionfish behaviors at different densities of local lionfish and prey fish on reefs in Eleuthera, Bahamas during 2012 (Mechanisms and Consequences of Fish Biodiversity Loss on Atlantic Coral Reefs Caused by Invasive Pacific Lionfish)

Initial lionfish behaviors at different densities of local lionfish and prey fish on reefs in Eleuthera, Bahamas during 2012

cdm_data_type = Other
VARIABLES:
time_period (unitless)
behavior (unitless)
date (unitless)
reef (unitless)
PTVO_size (centimeters)
specific_location (unitless)
location_code (unitless)


[Initial predator preferences] - Initial hunting preferences by predator species in the Bahamas in 2013 (Mechanisms and Consequences of Fish Biodiversity Loss on Atlantic Coral Reefs Caused by Invasive Pacific Lionfish)

Initial hunting preferences by predator species in the Bahamas in 2013

cdm_data_type = Other
VARIABLES:
predator_ID (unitless)
predator_species (unitless)
predator_size (centimeters)
bass_treatment (unitless)
first_size (unitless)
first_species (unitless)


[Initial spores] - Pterosiphonia bipinnata and Corallina vancouveriensis initial experiment attachment and duration at Deadman Bay on San Juan Island, Washington (Effects of Ocean Acidification on Coastal Organisms: An Ecomaterials Perspective)

Pterosiphonia bipinnata and Corallina vancouveriensis initial experiment attachment and duration at Deadman Bay on San Juan Island, Washington

cdm_data_type = Other
VARIABLES:
time2 (Time, hours)
Attached (unitless)
Treatment (unitless)
latitude (degrees_north)
longitude (degrees_east)
location (unitless)
Species (unitless)


[inorganic nutrients] - Inorganic nutrients (PO4, SiOH4, NO3, NO2, NH4) from R/V Knorr cruise KN207-01 from the southern tip of Nova Scotia to Bermuda in 2012 (SargassoSeaLipids project) (Biogeochemical Impact and Fate of Non-phosphorus Membrane Lipids in the Sargasso Sea)

Inorganic nutrients (PO4, SiOH4, NO3, NO2, NH4) from R/V Knorr cruise KN207-01 from the southern tip of Nova Scotia to Bermuda in 2012.

cdm_data_type = Other
VARIABLES:
cast (integer)
month_cast (mm (01 to 12))
day_cast (dd (01 to 31))
year (unitless)
latitude (degrees_north)
longitude (degrees_east)
depth (m)
PO4 (Mass Concentration Of Phosphate In Sea Water, uM)
SiOH4 (Si OH4, uM)
NO3 (Mole Concentration Of Nitrate In Sea Water, uM)
NO2 (Mole Concentration Of Nitrite In Sea Water, uM)
NH4 (Mole Concentration Of Ammonium In Sea Water, uM)


[Input data and code (CovGE)] - Input data and code to test hypotheses between genetic and environmental effects on phenotypes (RCN: Evolution in Changing Seas)

The purpose of this study was to apply a quantitative measure to phenotypic data that were collected by other studies to test hypotheses about natural prevalence and patterns of Covariance between genotypic and environmental effects on phenotypes (CovGE).

cdm_data_type = Other
VARIABLES:
Study_ID_phenotype (unitless)
First_Author (unitless)
gen_factor (unitless)
nat_env_factor (unitless)
exp_env_factor (unitless)
phen_n (unitless)
phen_data (unitless)
phen_SD (unitless)
phen_mean_SE (unitless)
phen_mean_lowCI_095 (unitless)
phen_mean_highCI_095 (unitless)
Source (unitless)


[inshore_catch] - Maine/New Hampshire Inshore Trawl Survey: Catch Data from the F/V Robert Michael,F/V Tara Lynn NEC-JS2000-1 from the the Maine and New Hampshire coasts, 2000-2004 (NEC-CoopRes project) (Northeast Consortium: Cooperative Research)

Maine/New Hampshire Inshore Trawl Survey: Catch Data from the F/V Robert Michael,F/V Tara Lynn NEC-JS2000-1 from the the Maine and New Hampshire coasts, 2000-2004 (NEC-CoopRes project)

cdm_data_type = Other
VARIABLES:
year
season
region
towid
latitude (degrees_north)
longitude (degrees_east)
depth_fm (Depth)
grid
depth_strata (Depth)
fishid
taxa
weight_kg_total
num_caught
common_name


[inshore_trawl stations] - Maine/New Hampshire Inshore Trawl Survey: station information from the F/V Robert Michael,F/V Tara Lynn NEC-JS2000-1 from the the Maine and New Hampshire coasts, 2000-2004 (NEC-CoopRes project) (Northeast Consortium: Cooperative Research)

Maine/New Hampshire Inshore Trawl Survey: station information from the F/V Robert Michael,F/V Tara Lynn NEC-JS2000-1 from the the Maine and New Hampshire coasts, 2000-2004 (NEC-CoopRes project)

cdm_data_type = Other
VARIABLES:
year
time (Date Local, seconds since 1970-01-01T00:00:00Z)
region
towid
longitude (degrees_east)
latitude (degrees_north)
grid
se_flag
depth_strata (Depth)
time_local (hhmm)
duration (minutes)
depth_fm (Depth, fathoms)
temp (Temperature, degrees C)
sal (parts/thousand)
yrday_local (unitless)


[Integrated Acoustic Scattering BIP] - Nautical Area Scattering Coefficients (NASC) from an R/V BIP cruise in the Guaymas Basin, Gulf of California in 2013 (Jumbo Squid El Nino Response project) (Adaptable life history strategy of a migratory large predator in response to El Nino and climate change)

Integrated, area scattering values, or Natuical Area Scattering Coefficients (NASC) are provided from one cruise in the Guaymas Basin that occurred October 2013. Also included are the time (UTC) and location at the start and end of each integration bin, mean depth of the exclusion line for each bin, and the average thickness of the integrated cell.\r\n\r\nNote that noise removal from this data set (e.g. splash down, electrical interference, and CTD casts) was minimal before integration. Raw acoustic scattering data (.raw files) are extremely large. These are archived at Oregon State University and will be shared using physical media upon request.

cdm_data_type = Other
VARIABLES:
date_start (unitless)
time_start (HHMM.mmmm)
date_end (unitless)
time_end (HHMM.mmmm)
NASC (m2 nmi-2)
latitude (degrees_north)
longitude (degrees_east)
lat_end (Latitude, decimal degrees)
lon_end (Longitude, decimal degrees)
exclusion_line_mean_depth (meters)
integration_layer_thickness_mean (meters)


[Integrated Acoustic Scattering NH] - Nautical Area Scattering Coefficients (NASC) from R/V New Horizon cruises NH1106 and NH1006 in the Guaymas Basin in 2010 and 2011 (Jumbo Squid Physiology project) (Hypoxia and the ecology, behavior and physiology of jumbo squid, Dosidicus gigas)

Integrated, area scattering values, or Natuical Area Scattering Coefficients (NASC) are provided from two cruises in the Guaymas Basin that occurred in June 2010 and June 2011. Also included are the time (UTC) and location at the start and end of each integration bin, mean depth of the exclusion line for each bin, and the average thickness of the integrated cell.\r\n\r\nRaw acoustic scattering data (.raw files) are extremely large. These are archived at Oregon State University and will be shared using physical media upon request.

cdm_data_type = Other
VARIABLES:
cruise_id (text)
cruise_start_date (unitless)
cruise_end_date (unitless)
date_start (unitless)
time_start (HHMM.mmmm)
date_end (unitless)
time_end (HHMM.mmmm)
NASC (m2 nmi-2)
latitude (degrees_north)
longitude (degrees_east)
lat_end (Latitude, decimal degrees)
lon_end (Longitude, decimal degrees)
exclusion_line_mean_depth (meters)
integration_layer_thickness_mean (meters)


[Integrated Energy Density data of Marine and Freshwater Organisms] - Marine and Freshwater Energy Density Data Integrated and Organized by Taxonomy from Previous Research Sources (1961 through June 2024) Discovered by a Literature Review (Nutritional ecology of climate change: Impacts on Northwest Atlantic fishes)

Energy is the currency of exchange within ecosystems which defines the strength and influence of interactions, particularly between predator and prey. The ability to estimate the productivity of an ecosystem is, therefore, dependent upon the estimation of consumer diet contents and their energetic quality. To estimate growth, reproduction, and, ultimately, survival of individuals, measures of prey quality for predators are essential both at the individual level and for scaling to ecosystem-wide fluxes and pools. Among measures of prey quality, energy density (kiloJoules per gram; kJ/g) is the most used in ecology. Considerable efforts have established estimates of energy densities for many aquatic taxa. However, a database of aquatic organism energetics constructed by integrating and organizing across multiple sources spawning marine and freshwater habitats across the globe is needed to add both depth (more samples to measure within-taxa variation) and breadth (more taxa). To generate a comprehensive energy density database of aquatic organisms, we performed a multifaceted review to find sources from the peer-reviewed and grey literature with a broad search on Web of Science, from citations of related literature, and a haphazard recommendation from experts. Estimates of energy density of whole organism live weights (kJ/g wet weight) were prioritized to better relate to diet and energetics studies. When energy density was only provided per gram dry weight, the dry weight and percentage water was used to calculate energy density per gram wet weight. Sub-organism (i.e. tissue specific) energy density estimates are included (e.g. muscle, liver, egg) when only these were reported. A total of 3810 records are included from 134 sources, covering 2016 unique taxa, of which 1771 (87.76%) are identified at the species level. Species or taxa-specific energy densities ranged from 0.015 to 17.949 kJ/g wet weight (WW) with a mean ± SD = 4.509 ± 1.94 kJ/g WW and median = 4.225 kJ/g WW. Among those phyla with more than three species (n phyla = 9), chordates (n taxa = 1283) had the highest average energy density (mean ± SD; 4.92 ± 1.90; 0.162 – 17.9 kJ/g WW) and ctenophores (n taxa = 4) had the lowest average (0.0988 ± 0.074; 0.03 to 0.205 kJ/g WW). Each record includes the organism taxonomy to the lowest resolution listed in the original source, energetic data available from the source including body composition and energy density data, number of replicates and methodology for measuring energetics information--primarily split between bomb calorimetry and proximate composition--as well as the source's author(s), year, and publication. Additional meta-data are included whenever possible based on details from the original source including the 1) environmental features: area, method, and timing of capture; 2) methodological features: storage method, storage duration, and tissue type measured; and 3) organismal features: weight, length, and sex; as well as any additional notes about the source. This comprehensive database integrates those data discoverable by our search and which met inclusion criteria identified above in a taxonomic and spatial organization framework to facilitate modeling trophic interactions, bioenergetics, growth, productivity, and energy fluxes through marine and freshwater ecosystems.

cdm_data_type = Other
VARIABLES:
Phylum (unitless)
... (41 more variables)


[Integrative taxonomy of tectractinellid sponges] - Morphological and genetic data of tetractinellid sponges from Kāne'ohe Bay, Hawai'i based on specimens collected between 2016 and 2023 (Testing the most striking tropical marine biodiversity gradient on the planet: does it hold for sponges?)

Here we integrate molecular phylogeny and systematics to distinguish introduced species from those that are potentially native or endemic. We focus on the order Tetractinellida and document the transoceanic dispersal of Geodia papyracea from the Caribbean to Hawai'i, likely via the fouling of ship hauls navigating through the Panama Canal. Our integrative approach allowed us to describe new species of Stelletta, Stelletta kaluhiwa sp. nov., Stelletta cypheri sp. nov., Stelletta camvela sp. nov., Stelletta hewetta sp. nov., Stelletta brighti sp. nov., and one new species of Stryphnus, Stryphnus jonesi sp. nov; all collected from the reef cryptofauna. Specimens were barcoded using 28S and COI molecular markers, providing insights into the phenotypic plasticity of sponges and the phylogenetic placement of these new species based on morphological characters. Using both molecular phylogeny and traditional taxonomy enhances the accuracy of species identification and classification, contributing to a broader understanding of sponge biodiversity within the Hawaiian archipelago.

cdm_data_type = Other
VARIABLES:
Species (unitless)
Type (unitless)
FMNH (unitless)
BPBM_cat_no (unitless)
Field_code (unitless)
COI_Genbank_acc_no (unitless)
Genbank_acc_no_28S (unitless)
Date (unitless)
latitude (degrees_north)
longitude (Long, degrees_east)
Anatrienes_rhabdome_LXW (micrometers)
Anatrienes_cladome_diameter (micrometers)
Orthotriaenes_Rhabdome_LXW (micrometers)
Orthotriaenes_cladome_diameter (micrometers)
Plagiotriaenes_Rhabdome_LXW (micrometers)
Plagiotrienes_cladome_diameter (micrometers)
... (13 more variables)


[integrity_tests] - Test of integrity of dissolved 15N2 gas samples stored in Exetainer vials (EAGER:  Collaborative Research:  Detection limit in marine nitrogen fixation measurements - Constraints of rates from the mesopelagic ocean)

We monitored the 15N2 gas atom% values of prepared solutions stored in Exetainer vials (filled with no headspace) in order to verify that these values remained stable over a period of weeks to months of storage. The integrity of samples was preserved for at least 6 months.

cdm_data_type = Other
VARIABLES:
Trial (unitless)
Sample_ID (unitless)
Date_of_analysis (unitless)
Days_of_storage (days)
Avg_15N_at_pcnt (Avg 15 N At Pcnt, unitless)
stdev_at_pcnt (unitless)
Notes (unitless)


[Intertidal community: California and Baja California] - Intertidal community diversity surveys at 23 sites in California, USA and Baja California, Mexico across tidal elevations from 2022-2023 (Predicting impacts of coastal species redistribution in a changing climate)

This dataset includes information on over 100 species found in the intertidal zone on a rocky shoreline during community surveys conducted at 23 sites along the coast of California and Baja California, Mexico in 2022 and 2023. Community survey data includes visual estimates of percent area covered by various species with corresponding season and tide height.

cdm_data_type = Other
VARIABLES:
Region (unitless)
Site (unitless)
latitude (degrees_north)
longitude (Long, degrees_east)
Survey_Date (unitless)
Season (unitless)
Vert_Transect_Dist (meters (m))
Quad_Dist (meters (m))
TH_Transect_Top (meters (m))
Quad_TH (meters (m))
Pct_Pool (percent (%))
Bare_Space (percent (%))
Organism_parameter (unitless)
Organism (unitless)
Coverage (percent (%))


[Invasive lionfish density dependence - Growth Persistence] - Experimental results on density dependent loss and growth in invasive red lionfish sampled at Lee Stocking Island, Bahamas in 2011 (Mechanisms and Consequences of Fish Biodiversity Loss on Atlantic Coral Reefs Caused by Invasive Pacific Lionfish)

Experimental results on density dependent loss and growth in invasive red lionfish sampled at Lee Stocking Island, Bahamas in 2011

cdm_data_type = Other
VARIABLES:
presence (unitless)
lionfish_id (unitless)
reef_number (unitless)
lionfish_density_initial (count per square meter)
lionfish_density_mean (count per square meter)
tag (unitless)
date (unitless)
total_length (centimeters)
mass (grams)


[Invasive lionfish density dependence - Recruitment and Immigration] - Experimental results on density dependent recruitment and immigration in invasive red lionfish sampled at Lee Stocking Island, Bahamas in 2011 (Mechanisms and Consequences of Fish Biodiversity Loss on Atlantic Coral Reefs Caused by Invasive Pacific Lionfish)

Experimental results on density dependent recruitment and immigration in invasive red lionfish sampled at Lee Stocking Island, Bahamas in 2011

cdm_data_type = Other
VARIABLES:
date (unitless)
reef (unitless)
lionfish_density_mean (count per square meter)
lionfish_size (centimeters)
notes (unitless)


[Invertebrate Data] - Invertebrate data from fish and seagrass surveys on clusters of artificial reefs at the Abaco Islands, Bahamas in 2021 and 2022 (Using novel ecosystem-scale experiments to quantify drivers of reef productivity in a heavily impacted coastal ecosystem)

Invertebrate data from fish and seagrass surveys on clusters of artificial reefs at the Abaco Islands, Bahamas in May of 2022. Data are presented for site PN, which was constructed in May 2021 at the Bight of Old Robinson, Great Abaco. At the site three clusters of nine reefs were constructed. Each cluster was separated by at least 150 m and were constructed at ~3 m depth.

cdm_data_type = Other
VARIABLES:
Observer (unitless)
Date (unitless)
time_local (Time, unitless)
Assembly_day (unitless)
Cluster (unitless)
cluster_lat (degrees_north)
longitude (Cluster_lon, degrees_east)
Reef (unitless)
Species (unitless)
Count (unitless)
Legal (unitless)
Not_legal (unitless)
Notes (unitless)
time (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)


[Invertebrate Species Counts] - Counts of organisms recorded during emergent and rapid emergent surveys conducted in the subtidal zone of northern California, Sonoma and Mendocino counties, from 1999 to 2023 (Collaborative Research: The effects of marine heatwaves on reproduction, larval transport and recruitment in sea urchin metapopulations)

The Kelp Forest Monitoring data record span surveys across 24 years from 1999 through 2023 at 20 locations on the Sonoma-Mendocino Coast, Northern California. Years without data, inclusive: 2002, 2020, 2021. These surveys are ongoing and are conducted by the California Department of Fish and Wildlife dive team with participation from dive program partners at UC Davis, UC Santa Cruz, Cal Poly Humboldt, Sonoma State, and other dive programs and volunteers. Not all sites were surveyed in all years. Surveys prior to 2000 were not conducted by the same teams or with the same methods except that all surveys were done using Scuba along 30 x 2 meter (m) transects randomly placed in the subtidal zone in rocky habitats dominated by bull kelp, Nereocystis luetkeana, forests. These randomly placed band transects surveys were stratified by depth (A=0-15, B=16-30, C=31-45, D=46-60 ft) as we know sea urchin and abalone populations differ by depth.

Data collected include the number of live, dying (in some years during the mass mortality events), and dead sea urchins (red-Mesocentrotus franciscanus and purple-Strongylocentrotus purpuratus), red abalone (Haliotis rufescens), pinto abalone (H. kamtschatkana), flat abalone (H. walallensis), as well as empty abalone shells (again in some years). Additional data collected (if Scuba bottom time and/or air allowed): red abalone size, numbers or presence of associated species such as sea stars and predators, algal group quantification, and presence of bull kelp, substrate type. Data on algae and associated species differed depending on the year and the focus of the studies in response to ecosystem conditions but all years quantified sea urchins and abalones.

These data provide a baseline of biological conditions in the kelp forest before, during and after the major marine heatwave of 2014-2016 in northern California. These data were used to manage the recreational red abalone fishery by the California Department of Fish and Wildlife from 2002 to the closure of the fishery in 2018. These data are from the two counties Sonoma and Mendocino County that had 95% of the bull kelp forests in northern California.

cdm_data_type = Other
VARIABLES:
SurveyNum (unitless)
DFW_short_code (unitless)
SiteName (unitless)
... (18 more variables)


[Invertebrate stable isotopes from Alaskan seeps (May-June 2024)] - C and N stable isotope data for invertebrates collected by HOV Alvin during R/V Atlantis cruise AT50-24 at Sanak Seep Alaska from May 16 to June 5, 2024 (Collaborative Research: Redefining the footprint of deep ocean methane seepage for benthic ecosystems)

This dataset provides C and N stable isotope data for invertebrates collected by HOV Alvin in May-June 2024 during R/V Atlantis cruise AT50-24 at methane seeps on the Aleutian margin off Alaska. There are also POM data for surface and near-bottom water samples collected by CTD. δ13C and δ15N measurements were made on 0.2-4 mg dry-weight samples combusted using an elemental analyzer interfaced to a continuous flow isotope ratio mass spectrometer at the Stable Isotope Facility at the University of California, Davis (SIF-UCD).

cdm_data_type = Other
VARIABLES:
Type (unitless)
Date (unitless)
Alvin_Dive (unitless)
Site (unitless)
depth (m)
latitude (degrees_north)
longitude (degrees_east)
Navigation_Comment (unitless)
Sample (unitless)
Sample_ID (unitless)
Habitat (unitless)
Phylum (unitless)
Taxon_ID (unitless)
AphiaID (unitless)
Accepted_names (unitless)
Incubation_treatment (unitless)
d13C (‰ (per mil))
d15N (‰ (per mil))


[Invertebrate stable isotopes from Southern California seeps (July 2023)] - Invertebrate stable isotopes from samples collected at methane seeps off Southern California with the HOV Alvin from July 16-28, 2023 during R/V Atlantis cruise AT50-12 (Collaborative Research: Redefining the footprint of deep ocean methane seepage for benthic ecosystems)

This dataset provides C and N stable isotope data for invertebrates collected by HOV Alvin from July 16-28, 2023 at methane seeps in Southern California during R/V Atlantis cruise AT50-12. There are also POC data for one surface and one near bottom water sample collected by CTD. δ13C and δ15N measurements were made on 0.2-4 mg dry-weight samples combusted using an elemental analyzer interfaced to a continuous flow isotope ratio mass spectrometer at the Stable Isotope Facility at the University of California, Davis (SIF-UCD).

cdm_data_type = Other
VARIABLES:
Date (unitless)
Alvin_Dive (unitless)
Site (unitless)
latitude (degrees_north)
longitude (degrees_east)
Depth (meters (m))
Sample_number (unitless)
Habitat (unitless)
Sample_type (unitless)
Analysis_context (unitless)
Phylum (unitless)
Taxon_ID (unitless)
Incubation (unitless)
C13 (per mil (0/00))
N15 (per mil (0/00))
Remarks (unitless)


[Invertebrate Survival] - Invertebrate survival: Invertebrate survival rates from feeding experiments, conducted at Bodega Marine Laboratory, where food sources (eelgrass (Zostera marina) genotypes) were varied (Connecting genetic diversity to ecosystem functioning: links between genetic diversity, relatedness and trait variation in a seagrass community)

Seagrass meadows are among the world's most productive ecosystems, and as in many other systems, genetic diversity is correlated with increased production. However, only a small fraction of seagrass production is directly consumed, and instead much of the secondary production is fueled by the detrital food web. Here, we study the roles of plant genetic diversity and grazer species diversity on detrital consumption in California eelgrass Zostera marina meadows. We used three common mesograzers\u2014an amphipod, Ampithoe lacertosa, an isopod, Idotea resecata, and a polychaete, Platynereis bicanaliculata. In this experiment, we raised communities of either Ampithoe lacertosa or communities of all three mesograzers on either no food, eelgrass detritus from a single clone, or eelgrass detritus from 3 of from 6 different clones. Under monospecific grazer assemblages, plant genetic identity but not diversity influenced detritus consumption. However, more realistic, diverse mesoconsumer communities combined with high plant-detrital genotypic diversity resulted in greater consumption and grazer survival. These data are illustrated in figure 6 of Reynolds et al., 2017 (DOI:10.1111/oik.04471).

cdm_data_type = Other
VARIABLES:
Days_after_exp_setup (unitless)
Detrital_genotypes_present (unitless)
Treatment (unitless)
Invertebrate_survival_pcnt (unitless (percent))


[IODP-347 drill site locations] - Drill site locations from MPSV GREATSHIP MANISHA IODP-347 cruise in the Baltic Sea in 2013 (IODP-347 Microbial Quantification project) (Quantifying the contribution of the deep biosphere in the marine sediment carbon cycle using deep-sea sediment cores from the Baltic Sea)

IODP-347 Drill Sites

Data for sites downloaded from:
[http://iodp.pangaea.de/front_content.php?idcat=587](\\http://iodp.pangaea.de/front_content.php?idcat=587\\)

Note: Drill site locations used for deployment locations table

[IODP-347 Expedition
Summary](\\http://dmoserv3.whoi.edu/data_docs/IODP_347/Expedition_347_101_Summary.pdf\\)

cdm_data_type = Other
VARIABLES:
Site (text)
Date (unitless)
latitude (degrees_north)
longitude (degrees_east)
depth (m)


[IODP360 - Annotations] - Supplementary Table 4B: Annotations for contigs within transcriptome libraries for the eleven samples that were manually curated for selected metabolic processes (Collaborative Research: Delineating The Microbial Diversity and Cross-domain Interactions in The Uncharted Subseafloor Lower Crust Using Meta-omics and Culturing Approaches)

Supplementary Table 4B: Metatranscriptome data summary for cellular activities presented and statistics on sequencing and removal of potential contaminant sequences: Annotations for contigs within transcriptome libraries for the eleven samples that were manually curated for selected metabolic processes. Samples  taken on board of the R/V JOIDES Resolution between November 30, 2015 and January 30, 2016.

cdm_data_type = Other
VARIABLES:
Cycle (unitless)
Biosynthetic_pathway (unitless)
ID_2R1 (ID 2 R1, unitless)
ID_19R1 (ID 19 R1, unitless)
ID_26R2 (ID 26 R2, unitless)
ID_31R1 (ID 31 R1, unitless)
ID_42R2 (ID 42 R2, unitless)
ID_51R3 (ID 51 R3, unitless)
ID_62R1 (ID 62 R1, unitless)
ID_68R4 (ID 68 R4, unitless)
ID_71R1 (ID 71 R1, unitless)
ID_81R2 (ID 81 R2, unitless)
ID_84R6 (ID 84 R6, unitless)


[IODP360 - Archaeal and bacterial lipid biomarkers] - Supplementary Table 3A: Concentration of archaeal and bacterial lipid biomarkers, ratio of core vs intact polar lipids and average chain length of bacterial dietherglycerol lipids. (Collaborative Research: Delineating The Microbial Diversity and Cross-domain Interactions in The Uncharted Subseafloor Lower Crust Using Meta-omics and Culturing Approaches)

Overview of archaeal and bacterial lipid biomarkers and cell counts. Concentration of archaeal and bacterial lipid biomarkers, ratio of core vs intact polar lipids and average chain length of bacterial dietherglycerol lipids. Samples  taken on board of the R/V JOIDES Resolution between November 30, 2015 and January 30, 2016

cdm_data_type = Other
VARIABLES:
Sample (unitless)
latitude (degrees_north)
longitude (degrees_east)
depth (m)
Intact_polar_lipids_1G_2GGDGT (Intact Polar Lipids 1 G 2 GGDGT, picograms per gram (pg/g))
Intact_polar_lipids_1G_2GAR (Intact Polar Lipids 1 G 2 GAR, picograms per gram (pg/g))
Core_lipids_core_GDGT (picograms per gram (pg/g))
Core_lipids_core_archaeol (picograms per gram (pg/g))
Core_lipids_bacterial_diether_glyerol_lipids (picograms per gram (pg/g))
G_GDGTs_core_GDGT (picograms per gram (pg/g))
GARs_core_ARs (picograms per gram (pg/g))
Archaea_IPLcore (picograms per gram (pg/g))
Bacteria_average_chain_length (picograms per gram (pg/g))


[IODP360 - CHNS analyses] - Supplementary Table 1: Results of CHNS analyses in rock samples at different depths and sample images. (Collaborative Research: Delineating The Microbial Diversity and Cross-domain Interactions in The Uncharted Subseafloor Lower Crust Using Meta-omics and Culturing Approaches)

Results of CHNS analyses in rock samples at different depths and sample images taken on board of the R/V JOIDES Resolution between November 30, 2015 and January 30, 2016

cdm_data_type = Other
VARIABLES:
Sample_ID (unitless)
depth (m)
TOC (percentage (%))
TON (percentage (%))
Total_C_Total_N (percentage (%))
Ratio_13C_12C (Ratio 13 C 12 C, percentage (%))
Clay_OH (percentage (%))
Observations (unitless)
Reference_Picture (unitless)
latitude (degrees_north)
longitude (degrees_east)


[IODP360 - Drill fluid contamination testing] - Supplementary Table 2: Drill fluid contamination testiFMC in drilling. GC mass spectrometry measurements of concentrations of the tracers PFMD and Png fluid and sample materials (Collaborative Research: Delineating The Microbial Diversity and Cross-domain Interactions in The Uncharted Subseafloor Lower Crust Using Meta-omics and Culturing Approaches)

Supplementary Table 2: Drill fluid contamination testing. GC mass spectrometry measurements of concentrations of the tracers PFMD and PFMC in drilling fluid and sample materials.

cdm_data_type = Other
VARIABLES:
Tracer (unitless)
Sample (unitless)
Replicate (unitless)
Drilling_Fluid (part per billion (ppb); Abbreviations: bd=below detection limit; ad=above detection limit/-a: after 4 washes; -b: after 3 washes ; -c: no core liner used)
Core_Exterior_Before_Cleaning (part per billion (ppb); Abbreviations: bd=below detection limit; ad=above detection limit/-a: after 4 washes; -b: after 3 washes ; -c: no core liner used)
Core_Exterior_After_Cleaning (part per billion (ppb); Abbreviations: bd=below detection limit; ad=above detection limit/-a: after 4 washes; -b: after 3 washes ; -c: no core liner used)
Core_Interior (part per billion (ppb); Abbreviations: bd=below detection limit; ad=above detection limit/-a: after 4 washes; -b: after 3 washes ; -c: no core liner used)


[IODP360 - FPKM values] - Supplementary Table 4A: Metatranscriptome data summary for cellular activities presented and statistics on sequencing and removal of potential contaminant sequences, FPKM values (Collaborative Research: Delineating The Microbial Diversity and Cross-domain Interactions in The Uncharted Subseafloor Lower Crust Using Meta-omics and Culturing Approaches)

Supplementary Table 4A: Metatranscriptome data summary for cellular activities presented and statistics on sequencing and removal of potential contaminant sequences: FPKM values. Samples  taken on board of the R/V JOIDES Resolution between November 30, 2015 and January 30, 2016.

cdm_data_type = Other
VARIABLES:
Cycle (unitless)
Biosynthetic_pathway (unitless)
ID_2R1 (ID 2 R1, Fragments per Kilobase of transcript per Million mapped reads (FPKM))
ID_19R1 (ID 19 R1, Fragments per Kilobase of transcript per Million mapped reads (FPKM))
ID_26R2 (ID 26 R2, Fragments per Kilobase of transcript per Million mapped reads (FPKM))
ID_31R1 (ID 31 R1, Fragments per Kilobase of transcript per Million mapped reads (FPKM))
ID_42R2 (ID 42 R2, Fragments per Kilobase of transcript per Million mapped reads (FPKM))
ID_51R3 (ID 51 R3, Fragments per Kilobase of transcript per Million mapped reads (FPKM))
ID_62R1 (ID 62 R1, Fragments per Kilobase of transcript per Million mapped reads (FPKM))
ID_68R4 (ID 68 R4, Fragments per Kilobase of transcript per Million mapped reads (FPKM))
ID_71R1 (ID 71 R1, Fragments per Kilobase of transcript per Million mapped reads (FPKM))
ID_81R2 (ID 81 R2, Fragments per Kilobase of transcript per Million mapped reads (FPKM))
ID_84R6 (ID 84 R6, Fragments per Kilobase of transcript per Million mapped reads (FPKM))


[IODP360 - iTAG and metatranscriptome data] - Supplementary Table 4C: Statistics of reads retained through bioinformatic processing of iTAG data for the 11 samples and control samples and metatranscriptome data. (Collaborative Research: Delineating The Microbial Diversity and Cross-domain Interactions in The Uncharted Subseafloor Lower Crust Using Meta-omics and Culturing Approaches)

Supplementary Table 4C: Metatranscriptome data summary for cellular activities presented and statistics on sequencing and removal of potential contaminant sequences: Statistics of reads retained through bioinformatic processing of iTAG data for the 11 samples and control samples and metatranscriptome data. Samples  taken on board of the R/V JOIDES Resolution between November 30, 2015 and January 30, 2016

cdm_data_type = Other
VARIABLES:
Sample_ID (unitless)
latitude (degrees_north)
longitude (degrees_east)
depth (m)
iTAG_Raw (I TAG Raw, number of reads)
iTAG_Paired_QC (I TAG Paired QC, number of reads)
iTAG_Paired_Contmnt_Rem (I TAG Paired Contmnt Rem, number of reads)
iTAG_OTU (I TAG OTU, number of OTUs)
Metatr_Raw (number of reads)
Metatr_Paired_QC (number of reads)
Metatr_Paired_Contmnt_Rem (number of reads)
Metatr_Reads_Remaining (percentage (%))


[IODP360 - Replicate Cell Counts] - Supplementary Table 3B: Replicate cell counts for the 11 samples and alkaline phosphatase activity measurements available for any of the 11 samples (Collaborative Research: Delineating The Microbial Diversity and Cross-domain Interactions in The Uncharted Subseafloor Lower Crust Using Meta-omics and Culturing Approaches)

Supplementary Table 3B: Overview of archaeal and bacterial lipid biomarkers and cell counts. Replicate cell counts for the 11 samples and alkaline phosphatase activity measurements available for any of the 11 samples. Samples were taken on board of the JOIDES Resolution  between November 30, 2015 and January 30, 2016 in the SW Indian Ridge.

cdm_data_type = Other
VARIABLES:
Sample (unitless)
latitude (degrees_north)
longitude (degrees_east)
depth (m)
Replicate_1 (cells per cubic centimeter (cells/cm3))
Replicate_2 (cells per cubic centimeter (cells/cm3))
Average (cells per cubic centimeter (cells/cm3))
Standard_Deviation (cells per cubic centimeter (cells/cm3))
AP_activity (picomole per gram per hour (pmol g-1 h-1))
Time_of_AP_measurment (hours (Hr))


[IrnBru MV1405 - Bacteria and Virus Abundance] - Bacteria and virus abundance data collected from the R/V Melville MV1405 along the California coastline during 2014 (Linking physiological and molecular aspects of diatom silicification in field populations)

Bacteria and virus abundance data collected from the R/V Melville MV1405 along the California coastline during 2014

cdm_data_type = Other
VARIABLES:
cruise_id (unitless)
CTD (unitless)
station (unitless)
date_GMT (unitless)
time_GMT (unitless)
yearday_GMT (unitless)
latitude (degrees_north)
longitude (degrees_east)
depth (m)
bacteria (bacteria per milliliter)
virus (VLP per milliliter)
time (ISO Date Time UTC, seconds since 1970-01-01T00:00:00Z)


[IrnBru MV1405 - FvFm and Lifetime Fluorescence] - FvFm and fluorescence lifetime data collected from the R/V Melville MV1405 along the California Coastline during 2014 (Linking physiological and molecular aspects of diatom silicification in field populations)

FvFm and fluorescence lifetime data collected from the R/V Melville MV1405 along the California Coastline during 2014.

cdm_data_type = Other
VARIABLES:
cruise_id (unitless)
date_gmt (unitless)
latitude (degrees_north)
longitude (degrees_east)
time_gmt (unitless)
corr_Fluor_min (relative units)
corr_Fluor_max (relative units)
corr_FvFm (Corr Fv Fm, dimensionless)
functional_absorbtion (unitless)
NPQ (dimensionless)
amp1 (dimensionless)
amp2 (dimensionless)
amp3 (dimensionless)
time1 (picosecond)
time2 (picosecond)
time3 (picosecond)
TAV (picosecond)
time (ISO Date Time UTC, seconds since 1970-01-01T00:00:00Z)


[Irradiance exposure experiments] - Photophysiological 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)

Photophysiological responses of two dinoflagellate species used in natural high light exposure experiments (Protist Signaling project)

cdm_data_type = Other
VARIABLES:
Experiment_ID (unitless)
Experiment_Date (unitless)
Dinoflagellate_species (unitless)
Max_PAR (umol photons m^-2 s^-1)
Total_PAR (mol photons m^-2)
Sampling_Time (unitless)
Treatment (unitless)
Sample_Number (unitless)
FvFm (FV FM, unitless)
time (ISO Date Time UTC, seconds since 1970-01-01T00:00:00Z)


[ISIIS Environmental Data] - Environmental sensor data from an underwater imaging system (ISIIS-3) collected during R/V Langseth cruise MGL2207 July 20-28 2022 and R/V Sally Ride cruise SR2317 August 10-20 2023 in the Northern California Current (Collaborative Research: Plankton size spectra and trophic links in a dynamic ocean)

During July 20-28 2022 and August 10-20 2023 an underwater imager (In Situ Ichthyoplankton Imaging System 3, ISIIS-3) was deployed from the R/V Langseth and R/V Sally Ride, respectively. The ISIIS-3 deployments were carried out from these R/Vs in the northern California Current by a team affiliated with Oregon State University, the University of Oregon, and Portland State University.

The ISIIS-3 was equipped with two line scan cameras for collecting plankton imagery in addition to six  environmental sensors.

This dataset contains the processed and quality controlled merged environmental data from the ISIIS imager on this cruise, consisting of temperature, conductivity, pressure, depth, salinity, fluorescence, oxygen, pH, photosynthetically active radiation, and chlorophyll a. Latitude, longitude, date, time, imager horizontal/vertical speeds, and altitude are also included in the dataset. Data were collected on six cross-shelf transects ranging geographically from the border of California and Oregon to  southern Washington. Two transects, one following the Newport Hydrographic Line and the other near Gray's Harbor, Washington, were 70 nautical miles (~135 km) in length. The four others (near the Columbia River, Cape Meares, Heceta Bank, and the Rogue River) were 40 nautical miles (~73 km). ISIIS was towed continuously in an undulating motion (“tow-yos”) between 0-100m depth, or within 2-5m of the seafloor where the bottom depth was less than 100m. Data were streamed on to the ship in real time using a fiber optic oceanographic cable and written into millisecond time-stamped data files for each sensor. Sensor data files from ISIIS-3, along with latitude and longitude data from ship data streams, were merged using Python scripts into a final dataset based on the millisecond time stamps of the sensors and GPS streams.

cdm_data_type = Other
VARIABLES:
DateTime (Time, unitless)
Cruise_ID (unitless)
time (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)
Temperature (degrees Celsius)
Conductivity (Siemens per meter (Siemens/m))
Pressure (decibars (dBar))
... (25 more variables)


[Island benthic survey urchin density - 2014] - Sea urchin density at central and western Aleutian Islands, Alaska from visual surveys, July 2014 (Ocean Acidification:  Century Scale Impacts to Ecosystem Structure and Function of Aleutian Kelp Forests)

Sea urchin density at central and western Aleutian Islands, Alaska from visual surveys, July 2014. Estimates were derived from visual surveys, performed via SCUBA.

cdm_data_type = Other
VARIABLES:
island (unitless)
site_name (unitless)
latitude (degrees_north)
longitude (degrees_east)
depth_feet (Depth, feet)
time (seconds since 1970-01-01T00:00:00Z)
observer (unitless)
replicate (unitless)
urchin_density (count per 0.25 m^2)


[Island benthic survey urchin size biomass - 2014] - Sea urchin biomass at central and western Aleutian Islands, Alaska from visual surveys, July 2014 (Ocean Acidification:  Century Scale Impacts to Ecosystem Structure and Function of Aleutian Kelp Forests)

Sea urchin biomass at central and western Aleutian Islands, Alaska from visual surveys, July 2014. Estimates were derived from visual surveys, performed via SCUBA.

cdm_data_type = Other
VARIABLES:
island (unitless)
site_name (unitless)
latitude (degrees_north)
longitude (degrees_east)
depth_feet (Depth, feet)
time (seconds since 1970-01-01T00:00:00Z)
observer (unitless)
quadrat_count (quadrats)
urchin_diameter_mm (millimeters)
urchin_frequency (urchins)
size_biomass_convert (grams)
sum_biomass_class (grams)
urchin_biomass_grams (grams)


[Island benthic survey vegetation  - 2014] - Kelp forest community structure at central and western Aleutian Islands, Alaska from visual surveys, July 2014 (Ocean Acidification:  Century Scale Impacts to Ecosystem Structure and Function of Aleutian Kelp Forests)

Characterization of kelp forest community structure at each island as determined by surveying randomly selected sites. Estimates were derived from visual surveys, performed via SCUBA.

cdm_data_type = Other
VARIABLES:
island (unitless)
site_name (unitless)
latitude (degrees_north)
longitude (degrees_east)
depth_feet (Depth, feet)
time (seconds since 1970-01-01T00:00:00Z)
observer (unitless)
replicate (unitless)
Eualaria_fistulosa_density (count per 0.25 m^2)
Laminaria_spp_density (count per 0.25 m^2)
Laminaria_yezoensis_density (count per 0.25 m^2)
Laminaria_longipes_density (count per 0.25 m^2)
Agarum_clathratum_density (count per 0.25 m^2)
Thalassiophyllum_clathrus_density (count per 0.25 m^2)
Cymathaere_triplicata_density (count per 0.25 m^2)
filamentous_red_algae_cover_score (percent cover per 0.25 m^2)
suspension_feeder_cover_score (percent cover per 0.25 m^2)
Desmarestia_spp_cover_score (percent cover per 0.25 m^2)
Codium_spp_cover_score (percent cover per 0.25 m^2)
crustose_coralline_algae_cover_score (percent cover per 0.25 m^2)


[Island grazing history] - Historical reconstruction of sea urchin grazing events in Aleutian Island ecosystem from grazing scars, 1965-2004 (Ocean Acidification:  Century Scale Impacts to Ecosystem Structure and Function of Aleutian Kelp Forests)

Historical reconstruction of sea urchin grazing events in the ecosystem, achieved via enumerating the annual frequency of grazing scars that are archived in the calcified matrix of Clathromorphum nereostratum. Intact colonies of C. nereostratum were collected via SCUBA. Reconstructions were performed on polished and imaged sample cross-sections.

cdm_data_type = Other
VARIABLES:
time (Collection Date, seconds since 1970-01-01T00:00:00Z)
island (unitless)
site_name (unitless)
latitude (degrees_north)
longitude (degrees_east)
depth_feet (Depth, feet)
replicate (unitless)
sample_ID (unitless)
transect (unitless)
end_period (year)
start_period (year)
time_period (years)
growth_increment_um (micrometers)
grazing_events (unitless)


[Isoelectric_Focusing_electrophoresis] - Activity percent and composition percent of radionuclides, protein, carbohydrates, and iron at various pH levels using isoelectric focusing of radionuclide-labeled EPS (Biopolymers as carrier phases for selected natural radionuclides (of Th, Pa, Pb, Po, Be) in diatoms and coccolithophores)

Laboratory studies were conducted to examine the sorption of selected radionuclides (234Th, 233Pa, 210Po, 210Pb, and 7Be) onto inorganic (pure silica and acid-cleaned diatom frustules) and organic (diatom cells with or without silica frustules) particles in natural seawater and the role of templating biomolecules and exopolymeric substances (EPS) extracted from the same species of diatom, Phaeodactylum tricornutum, in the sorption process. The range of partition coefficients (Kd, reported as logKd) of radionuclides between water and the different particle types was 4.78\u20136.69 for 234Th, 5.23\u20136.71 for 233Pa, 4.44\u20135.86 for 210Pb, 4.47\u20134.92 for 210Po, and 4.93\u20137.23 for 7Be, similar to values reported for lab and field determinations. The sorption of all radionuclides was significantly enhanced in the presence of organic matter associated with particles, resulting in Kd one to two orders of magnitude higher than for inorganic particles only, with highest values for 7Be (logKd of 7.2). Results further indicate that EPS and frustule-embedded biomolecules in diatom cells are responsible for the sorption enhancement rather than the silica shell itself. By separating radiolabeled EPS via isoelectric focusing, we found that isoelectric points are radionuclide specific, suggesting that each radionuclide binds to specific biopolymeric functional groups, with the most efficient binding sites likely occurring in acid polysaccharides, iron hydroxides, and proteins. Further progress in evaluating the effects of diatom frustule\u2013related biopolymers on binding, scavenging, and fractionation of radionuclides would require the application of molecular-level characterization\r\ntechniques.

cdm_data_type = Other
VARIABLES:
pH (Sea Water Ph Reported On Total Scale, unitless)
Th234_pcnt_activity_EPS_Si_plus (Mass Concentration Of Silicate In Sea Water, percent activity)
Th234_pcnt_activity_EPS_Si_minus (Mass Concentration Of Silicate In Sea Water, percent activity)
Pa233_pcnt_activity_EPS_Si_plus (Mass Concentration Of Silicate In Sea Water, percent activity)
Pa233_pcnt_activity_EPS_Si_minus (Mass Concentration Of Silicate In Sea Water, percent activity)
Be7_pcnt_activity_EPS_Si_plus (Mass Concentration Of Silicate In Sea Water, percent activity)
Be7_pcnt_activity_EPS_Si_minus (Mass Concentration Of Silicate In Sea Water, percent activity)
Pb210_pcnt_activity_EPS_Si_plus (Mass Concentration Of Silicate In Sea Water, percent activity)
Pb210_pcnt_activity_EPS_Si_minus (Mass Concentration Of Silicate In Sea Water, percent activity)
Po210_pcnt_activity_EPS_Si_plus (Mass Concentration Of Silicate In Sea Water, percent activity)
... (7 more variables)


[Isolate information] - Isolate information on genes found in samples collected on the Gould (LMG1411) cruise in the Western Antarctica Peninsula in 2014 (Polar Transcriptomes project). (Iron and Light Limitation in Ecologically Important Polar Diatoms: Comparative Transcriptomics and Development of Molecular Indicators)

Isolate information on genes found in samples collected on the Gould (LMG1411) cruise in the Western Antarctica Peninsula in 2014 (Polar Transcriptomes project).

cdm_data_type = Other
VARIABLES:
polar_diatoms (unitless)
strain_ID (unitless)
PalmerLTER_station (Palmer LTER Station, unitless)
latitude (degrees_north)
longitude (degrees_east)
GenBank_bestHit (Gen Bank Best Hit, unitless)
percentSimilarity_bestHit (Percent Similarity Best Hit, percent)
accession_number (unitless)
accession_link (unitless)


[Isolation culturing and sequencing of bacteria and viruses] - Isolation, culturing, and sequencing of bacteria and viruses collected in Canoe Cove, Nahant, MA during 2010 (Marine Bacterial Viruses project) (How can bacterial viruses succeed in the marine environment?)

Isolation, culturing, and sequencing of bacteria and viruses collected in Canoe Cove, Nahant, MA during 2010 (Marine Bacterial Viruses project)

cdm_data_type = Other
VARIABLES:
bioproject_accession (unitless)
env_biome (unitless)
geo_loc_name (unitless)
organism_type (unitless)
collection_date (unitless)
isolation_source (unitless)
sample_name (unitless)
organism (unitless)
strain (unitless)
isolate (unitless)
host (unitless)
lab_host (unitless)
sample_type (unitless)
latitude (degrees_north)
longitude (degrees_east)
temp (Temperature, degrees celsius)
ordinal_day_of_isolation (unitless)
description (unitless)


[Isotopic niche space and microbiomes of Caribbean sponges] - Isotopic data from sponges collected in 2013 and 2014 from reefs in Honduras, Belize, Panama and the Florida Keys. (Collaborative Research: Investigations into microbially mediated ecological diversification in sponges)

Marine sponges host diverse communities of microbial symbionts that expand the metabolic capabilities of their host, but the abundance and structure of these communities is highly variable across sponge species. Specificity in these interactions may fuel host niche partitioning on crowded coral reefs by allowing individual sponge species to exploit unique sources of carbon and nitrogen, but this hypothesis is yet to be tested. Given the presence of high sponge biomass and the coexistence of diverse sponge species, the Caribbean Sea provides a unique system in which to investigate this hypothesis. To test for ecological divergence among sympatric Caribbean sponges and investigate whether these trends are mediated by microbial symbionts, we measured stable isotope (δ13C and δ15N) ratios and characterized the microbial community structure of sponge species at sites within four regions spanning a 1700 km latitudinal gradient. Samples were collected in 2013 and 2014 from reefs in Honduras, Belize, Panama, and the Florida Keys. There was a low (median of 8.2 %) overlap in the isotopic niches of sympatric species; in addition, host identity accounted for over 75% of the dissimilarity in both δ13C and δ15N values and microbiome community structure among individual samples within a site. There was also a strong phylogenetic signal in both δ15N values and microbial community diversity across host phylogeny, as well as a correlation between microbial community structure and variation in δ13C and δ15N values across samples. Together, this evidence supports a hypothesis of strong evolutionary selection for ecological divergence across sponge lineages and suggests that this divergence is at least partially mediated by associations with microbial symbionts.

cdm_data_type = Other
VARIABLES:
Species_name (unitless)
Region_Country (unitless)
latitude (degrees_north)
longitude (degrees_east)
Month_and_year_of_collection (unitless)
Ave_depth_ft (feet)
Freeman_Mean_Chla_Dry_wt (micrograms of chlorophyll a per gram of sponge tissue)
HL_Chla (unitless)
HMA_LMA (unitless)
... (9 more variables)


[IVARS Marine Snow profiles] - Abundance and size distribution of marine snow aggregates from profiles conducted during R/V Polar Star cruises in the Ross Sea, Antarctica between 2001 and 2005. (Interannual Variability in the Antarctic-Ross Sea (IVARS): Nutrients and Seasonal Production)

Abundance and size distribution of marine snow aggregates from profiles conducted during R/V Polar Star cruises in the Ross Sea, Antarctica between 2001 and 2005.

cdm_data_type = Other
VARIABLES:
cruise_name (unitless)
Canister (unitless)
Station (unitless)
latitude (degrees_north)
longitude (degrees_east)
depth (m)
date_local (unitless)
In_water_time_local (unitless)
time (In Water Date Time UTC, seconds since 1970-01-01T00:00:00Z)
particles_per_L (count)
bin_0_0_to_0_5 (count)
bin_gt_0_5_to_1_0 (count)
bin_gt_1_0_to_1_5 (count)
bin_gt_1_5_to_2_0 (count)
bin_gt_2_0_to_2_5 (count)
bin_gt_2_5_to_3_0 (count)
bin_gt_3_0_to_3_5 (count)
bin_gt_3_5_to_4_0 (count)
bin_gt_4_0_to_4_5 (count)
bin_gt_4_5 (count)


[IVARS Phaeocystis] - Abundance and size distribution of abandoned (ghost) Phaeocystis colonies from profiles conducted during R/V Polar Star cruises in the Ross Sea, Antarctica between 2001 and 2005. (Interannual Variability in the Antarctic-Ross Sea (IVARS): Nutrients and Seasonal Production)

Abundance and size distribution of abandoned (ghost) Phaeocystis colonies from profiles conducted during R/V Polar Star cruises in the Ross Sea, Antarctica between 2001 and 2005.

cdm_data_type = Other
VARIABLES:
cruise_name (unitless)
Canister (unitless)
Station (unitless)
latitude (degrees_north)
longitude (degrees_east)
depth (m)
date_local (unitless)
In_water_time_local (unitless)
time (In Water Date Time UTC, seconds since 1970-01-01T00:00:00Z)
particles_per_L (count)
bin_0_0_to_0_5 (count)
bin_gt_0_5_to_1_0 (count)
bin_gt_1_0_to_1_5 (count)
bin_gt_1_5_to_2_0 (count)
bin_gt_2_0_to_2_5 (count)
bin_gt_2_5_to_3_0 (count)
bin_gt_3_0_to_3_5 (count)
bin_gt_3_5_to_4_0 (count)
bin_gt_4_0_to_4_5 (count)
bin_gt_4_5 (count)


[JC057 eventlog] - Event log for GEOTRACES Southwestern Atlantic Transect cruise RSS/James Cook JC057 leg 3, March 2011 (GEOTRACES-SWAT project) (A Critical Test of the Nd Paleocirculation Proxy)

Event log for GEOTRACES Southwestern Atlantic Transect cruise RSS/James Cook JC057 leg 3, March 2011 (GEOTRACES-SWAT project).

cdm_data_type = Other
VARIABLES:
cruise_id (unitless)
station (unitless)
cast (unitless)
instrument (unitless)
action (unitless)
date (unitless)
time2 (Time, unitless)
longitude (degrees_east)
latitude (degrees_north)


[JeDI] - Jellyfish Database Initiative: Global records on gelatinous zooplankton for the past 200 years, collected from global sources and literature (Trophic BATS project) (Plankton Community Composition and Trophic Interactions as Modifiers of Carbon Export in the Sargasso Sea 	)

The Jellyfish Database Initiative (JeDI) is a scientifically-coordinated global database dedicated to gelatinous zooplankton (members of the Cnidaria, Ctenophora and Thaliacea) and associated environmental data. The database holds 476,000 quantitative, categorical, presence-absence and presence only records of gelatinous zooplankton spanning the past four centuries (1790-2011) assembled from a variety of published and unpublished sources. Gelatinous zooplankton data are reported to species level, where identified, but taxonomic information on phylum, family and order are reported for all records. Other auxiliary metadata, such as physical, environmental and biometric information relating to the gelatinous zooplankton metadata, are included with each respective entry. JeDI has been developed and designed as an open access research tool for the scientific community to quantitatively define the global baseline of gelatinous zooplankton populations and to describe long-term and large-scale trends in gelatinous zooplankton populations and blooms. It has also been constructed as a future repository of datasets, thus allowing retrospective analyses of the baseline and trends in global gelatinous zooplankton populations to be conducted in the future.

cdm_data_type = Other
VARIABLES:
project_title (dimensionless)
sub_project_title (dimensionless)
owner_dataset (dimensionless)
contact (dimensionless)
location_name (dimensionless)
date (variable)
year (unitless)
month (MM)
day (DD)
time_local (HH:MM:SS)
latitude (degrees_north)
longitude (degrees_east)
taxon (dimensionless)
rank_phylum (dimensionless)
... (23 more variables)


[July 2017 Flow Cytometry] -  (Dimensions: Collaborative Research: Genetic, functional and phylogenetic diversity determines marine phytoplankton community responses to changing temperature and nutrients)

These data include measurements of phytoplankton physiology and composition from a controlled multi-stressor incubation experiment conducted in July 2017. Whole phytoplankton communities were collected from the Narragansett Bay Long-Term Plankton Time Series site and incubated at the in-situ temperature (22 degrees Celsius) and at deviations from that temperature (±4 degrees Celsius) with both macronutrient amendments (N, P, Si addition) and unamended controls. Phytoplankton growth, abundance, size structure, and elemental composition, as well as microzooplankton grazing rates were measured throughout the incubations. These data improve our understanding of the phytoplankton community response to short-term changes in temperature or nutrients, providing valuable insight into the drivers of marine ecosystems.

cdm_data_type = Other
VARIABLES:
time_d (days)
temp_C (degrees Celsius)
nutr (unitless)
bin (unitless)
limit (FSC or SSC)
fsc_per (percent)
ssc_per (percent)


[July 2017 Incubation Experiment] - Phytoplankton physiology and composition under temperature-nutrient multi-stressor incubation from July 2017 in Narragansett Bay, RI (Dimensions: Collaborative Research: Genetic, functional and phylogenetic diversity determines marine phytoplankton community responses to changing temperature and nutrients)

These data include measurements of phytoplankton physiology and composition from a controlled multi-stressor incubation experiment conducted in July 2017. Whole phytoplankton communities were collected from the Narragansett Bay Long-Term Plankton Time Series site and incubated at the in-situ temperature (22 degrees Celsius) and at deviations from that temperature (±4 degrees Celsius) with both macronutrient amendments (N, P, Si addition) and unamended controls. Phytoplankton growth, abundance, size structure, and elemental composition, as well as microzooplankton grazing rates were measured throughout the incubations. These data improve our understanding of the phytoplankton community response to short-term changes in temperature or nutrients, providing valuable insight into the drivers of marine ecosystems.

cdm_data_type = Other
VARIABLES:
time_d (days)
temp_C (degrees Celsius)
nutr (unitless)
gr_d (per day)
gr_d_sd (per day)
gz_d (per day)
gz_d_sd (per day)
chl_ugl (micrograms per liter (ug/L))
chl_ugl_sd (micrograms per liter (ug/L))
chl_20um_per (percent)
chl_5_20um_per (percent)
chl_5um_per (percent)
pon_uM (micromolar (uM))
pon_uM_sd (micromolar (uM))
poc_uM (micromolar (uM))
poc_uM_sd (micromolar (uM))
bsi_uM (micromolar (uM))
bsi_uM_sd (micromolar (uM))
c_n (unitless; mol:mol)
... (11 more variables)


[jumbo squid time-at-depth] - Time-at-depth data (to generate histograms) from tagged jumbo squid from R/V R4107, R/V Pacific Storm, Chartered Vessels, R/V cruises in the Monterey Bay vicinity and Gulf of California from 2004-2009 (Hypoxia and the ecology, behavior and physiology of jumbo squid, Dosidicus gigas)

Time-at-depth data (to generate histograms) from tagged jumbo squid from R/V R4107, R/V Pacific Storm, Chartered Vessels, R/V cruises in the Monterey Bay vicinity and Gulf of California from 2004-2009

cdm_data_type = Other
VARIABLES:
squid_id (dimensionless)
tag_id (dimensionless)
descrip (dimensionless)
dorsal_mantle_len (centimeters (cm))
date_start (unitless)
latitude (degrees_north)
longitude (degrees_east)
date_end (unitless)
lat_end (Latitude, decimal degrees)
lon_end (Longitude, decimal degrees)
sampling_time (number of days)
max_depth (meters (m))
recovered (yes/no)
deploy_day (dimensionless)
depth (m)
count_night (Number of counts (1 count = 75 seconds))
count_day (Number of counts (1 count = 75 seconds))


[jumbo squid time-at-temperature] - Time-at-temperature data (to generate histograms) from tagged jumbo squid from R/V R4107, R/V Pacific Storm, Chartered Vessels, R/V BIP XII cruises in the Monterey Bay vicinity and Gulf of California from 2004-2009 (Hypoxia and the ecology, behavior and physiology of jumbo squid, Dosidicus gigas)

Time-at-temperature data (to generate histograms) from tagged jumbo squid from R/V R4107, R/V Pacific Storm, Chartered Vessels, R/V BIP XII cruises in the Monterey Bay vicinity and Gulf of California from 2004-2009.

cdm_data_type = Other
VARIABLES:
squid_id (dimensionless)
tag_id (dimensionless)
descrip (dimensionless)
dorsal_mantle_len (centimeters (cm))
date_start (unitless)
latitude (degrees_north)
longitude (degrees_east)
date_end (unitless)
lat_end (Latitude, decimal degrees)
lon_end (Longitude, decimal degrees)
sampling_time (number of days)
depth (Max Depth, m)
recovered (yes/no)
deploy_day (dimensionless)
temp (Temperature, degrees Celsius)
count_night (Number of counts (1 count = 75 seconds))
count_day (Number of counts (1 count = 75 seconds))


[June 2019 Slover cruise data] - Adenosine triphosphate and microbial biomass measurements from the Chesapeake Bay, sampled aboard RV Fay Slover on June 18, 2019 (Adenosine triphosphate as a master variable for biomass in the oceanographic context)

This dataset contains values from instruments and Niskin bottle samples from a research expedition on the RV Slover on June 18, 2019. Four stations were sampled with five bottle samples each from the coastal ocean to tributaries of the Chesapeake Bay. The variables are latitude, longitude, station number, depth, sigma-t, beam attenuation, relative chlorophyll fluorescence, particulate ATP, total ATP, particulate organic nitrogen, and particulate organic carbon.

cdm_data_type = Other
VARIABLES:
sampling_date (unitless)
latitude (degrees_north)
longitude (degrees_east)
station (unitless)
station_number_for_publication (unitless)
depth (m)
sigmat (unitless)
beamtrans (percentage (%))
chla (relative fluorescence units)
ATPp (nanomolar (nM))
ATPtot (unitless)
av_N_ug_L (microgram/liter)
av_C_ug_L (microgram/liter)
beamc_1 (meter-1)
beam_BL (meter-1)
beamc_2 (meter-1)


[Juvenile Black Sea Bass Laboratory Experiment (2022-2023)] -  (Collaborative research: Understanding the effects of acidification and hypoxia within and across generations in a coastal marine fish)

The northern stock of Black sea bass (BSB, Centropristis striata) has greatly expanded over the past decade, potentially due to warming Northwest Atlantic shelf waters affecting overwintering especially in juveniles. To gather better empirical data we quantified winter growth and lipid accumulation in BSB juveniles under a current ambient (2022/2023) seasonal temperature profile for eastern Long Island Sound, USA. Over the course of this study, winter mortality was low (< 16%) and average specific growth rate (SGR) followed seasonal trends (Fall → Winter → Spring) decreasing from 0.15 millimeters per day (mm d-1) (0.97 % wW d-1) to 0.01 mm d-1 (-0.03 % wW d-1), before rising to 0.03 mm d-1 (0.11 %wW d-1).

cdm_data_type = Other
VARIABLES:
Collection_Location (unitless)
longitude (Longitutde, degrees_east)
latitude (degrees_north)
Species (unitless)
Collection_Date (unitless)
Sample_Date (unitless)
Time_Point (unitless)
Month (unitless)
Tank (unitless)
BSB_ID (unitless)
Mean_Temp (degrees Celsius)
SD_Temp (degrees Celsius)
Days (number of days)
S_or_M (unitless)
Days_Alive (number of days)
TL_ini (degrees Celsius)
TL_final (millimeters (mm))
wW_ini (grams (g))
wW_final (grams (g))
estdW_ini (grams (g))
... (16 more variables)


[Juvenile Black sea bass winter growth and lipid accumulation under varying food and temperature conditions - Experiment 1] - Winter growth and lipid accumulation in juvenile Black sea bass exposed to varying food and temperature conditions during lab experiments conducted from September 2021 to April 2022 at UConn Avery Point (Collaborative research: Understanding the effects of acidification and hypoxia within and across generations in a coastal marine fish)

The northern stock of Black sea bass (BSB, Centropristis striata) has greatly expanded over the past decade, potentially due to warming Northwest Atlantic shelf waters affecting overwintering especially in juveniles. To gather better empirical data we quantified winter growth and lipid accumulation in BSB juveniles from Long Island Sound using two complementing experiments. The data from Experiment 1 are presented here.

Experiment 1 measured individual length growth (GR), weight-specific growth (SGR), growth efficiency, and lipid content at constant food and three static temperatures: 6°, 12°, and 19° Celsius (C). Average GR (SGR) decreased from 0.24 millimeters per day (mm d-1) at 19°C (0.89% d-1) to 0.15 mm d-1 at 12°C (0.54% d-1) to 0.04 mm d-1 at 6°C (0.17% d-1). Even at the coldest temperature, most juveniles sustained positive GRs and SGRs; hence, the species' true thermal growth minimum may be below 6°C. However, lipid accumulation was greatest at 12°C, which is close to what overwintering juveniles likely encounter offshore.

The data from Experiment 2 are presented in a related dataset (https://www.bco-dmo.org/dataset/898012). In both experiments, juveniles disproportionally accumulated lipid over lean mass, with lipid proportions tripling in Exp2 from 4% at 65 mm to 12% at 120 mm.

cdm_data_type = Other
VARIABLES:
Collection_site (unitless)
longitude (degrees_east)
latitude (degrees_north)
Collection_date (unitless)
Sample_date (unitless)
Species (unitless)
BSB_ID (unitless)
Group (unitless)
Temp (degree Celsius)
Days_W (number of days)
... (21 more variables)


[Karlodinium veneficum cellular carbon and nitrogen data] - Cellular carbon (C) and nitrogen (N) data of the Karlodinium veneficum growth experiment conducted in the Horn Point Laboratory between June 2021- January 2022. (Ecology and Oceanography of Harmful Algal Blooms)

Using a multifactorial design, we studied the interactive effects of temperature (15, 20, 25, 28 and 30 0C), salinity (5, 10, 15, 20 and 30) and light (low-100 and high-300 μmol photons m−2 s−1) on growth, thermal niche properties and cellular carbon (C) and nitrogen (N) of the toxic dinoflagellate, Karlodinium veneficum, originated from the Chesapeake Bay. Here we report the daily growth data measured as raw fluorescence at each experimental combination  in quadruplicates and the C and N cell quota data measured in the final samples for each experimental combination in duplicates.

cdm_data_type = Other
VARIABLES:
sample_no (unitless)
treatment (unitless)
filtered_volume (milliliters (mL))
Cell_density (cells per mL (cells/mL))
N_percent (percent (%))
C_percent (percent (%))
N_mg (milligrams (mg))
C_mg (milligrams (mg))
Carbon_blank_corrected (milligrams (mg))
C_to_N_mass (unitless)
C_umol (micromoles (umol))
N_umol (micromoles (umol))
C_to_N_atomic (unitless)
C_per_cell (picograms of Carbon per cell (pg/cell))
N_per_cell (picograms of Nitrogen per cell (pg/cell))


[Karlodinium veneficum growth data] - Daily growth data of the Karlodinium veneficum growth experiment conducted in the Horn Point Laboratory between June 2021- January 2022. (Ecology and Oceanography of Harmful Algal Blooms)

Using a multifactorial design, we studied the interactive effects of temperature (15, 20, 25, 28 and 30 0C), salinity (5, 10, 15, 20 and 30) and light (low-100 and high-300 μmol photons m−2 s−1) on growth, thermal niche properties and cellular carbon (C) and nitrogen (N) of the toxic dinoflagellate, Karlodinium veneficum, originated from the Chesapeake Bay. Here we report the daily growth data measured as raw fluorescence at each experimental combination  in quadruplicates and the C and N cell quota data measured in the final samples for each experimental combination in duplicates.

cdm_data_type = Other
VARIABLES:
Light (μmol photons m−2s−1)
Salinity (unitless)
Temperature (degrees Celsius (°C))
Date (unitless)
Replicate (unitless)
Fluoresence (unitless)


[Kd averages] - Kd averages calculated by month from studies conducted in St. John, US Virgin Islands from 2014-2017. (Collaborative research: Ecology and functional biology of octocoral communities)

Diffuse attenuation coefficient (Kd) for light in reef water of Great Lameshur Bay. These data describe how light is attenuated with depth in seawater in Lameshur Bay, with the coefficient calculated using standard procedures constrain (as described in the ms) by using surface light instead of immediately sub surface

cdm_data_type = Other
VARIABLES:
Year (unitless)
Month (unitless)
Study_Number (unitless)
Kd (umol photons per square meter per second)
Kd_Mean (umol photons per square meter per second)
Kd_SE (umol photons per square meter per second)
Note (unitless)


[Kelletia kelletii Pooled RADseq] - Restriction site-associated DNA sequence metadata of Kelletia kelletii collected in California, USA and Baja, Mexico in 2015 to 2017 (Collaborative Research: RUI: Combined spatial and temporal analyses of population connectivity during a northern range expansion)

Climate-driven warming and changes in major ocean currents enable poleward transport and range expansions of many marine species. Here, we report the population genetic structure for the gastropod Kelletia kelletii, a commercial fisheries species and subtidal predator with top-down food web effects, whose populations have recently undergone climate-driven northward range expansion.

This dataset includes sample id, collection site and year, tissue type, length, and extraction information for samples sequenced. We genotyped 598 adults from 13 locations across the species' historical and expanded range (∼800 km) using reduced representation genomic sequencing (RAD-seq). Analyses of 40,747 SNPs show evidence for long-distance larval dispersal of K. kelletii larvae from a central historical range site (Point Loma, CA) hundreds of km into the expanded northern range (Big Creek, CA), which seems most likely to result from transport during an El Niño Southern Oscillation (ENSO) event rather than consistent on-going gene flow. Furthermore, despite smaller geographic distances among some sampled expanded-range populations, their genetic divergence exceeds that among the historical range sampled populations, suggesting multiple origins of the expanded-range populations. Given the frequency and magnitude of ENSO events are predicted to increase with climate change, understanding the factors driving changes in population connectivity is crucial for establishing effective management strategies to ensure the persistence of this and other economically and ecologically important species.

cdm_data_type = Other
VARIABLES:
CLNo (unitless)
CapLabel (unitless)
SiteDescription (unitless)
SiteCode (unitless)
latitude (degrees_north)
longitude (degrees_east)
SiteCodeLetter_cap (unitless)
Whelk_ID (unitless)
TissueType (unitless)
... (9 more variables)