[Diopatra COI-haplotype (Genbank)] -  (The genetic legacy of an Asian oyster introduction and its disease-causing parasite)

Summary:
The decorator worm Diopatra cuprea Bosc, 1802 (Annelid; Polycheate; Onuphidae) is an ecosystem engineer within high-salinity estuaries of the southern and eastern United States. A previous study revealed five morphologically cryptic mitochondrial lineages across its broad geographic distribution. We Sanger-sequenced a mitochondrial locus (COI). The sequences were contributed to NCBI's Genbank database and the metadata and accessions are provided as part of this dataset.

cdm_data_type = Other
VARIABLES:
X_Accession (unitless)
SampleID (unitless)
state (unitless)
pop1 (unitless)
pop2 (unitless)
hap (unitless)
latitude (degrees_north)
longitude (degrees_east)


[Diopatra SNPs (SRA)] - Decorator worm Diopatra cuprea single nucleotide polymorphism (SNP) genotypes from a study investigating multiple cryptic lineages and restricted gene flow (The genetic legacy of an Asian oyster introduction and its disease-causing parasite)

Summary:
The decorator worm Diopatra cuprea Bosc, 1802 (Annelid; Polycheate; Onuphidae) is an ecosystem engineer within high-salinity estuaries of the southern and eastern United States. A previous study revealed five morphologically cryptic mitochondrial lineages across its broad geographic distribution. We genotyped single nucleotide polymorphisms (SNPs) with RADseq (contributed under NCBI BioProject PRJNA1103840).

cdm_data_type = Other
VARIABLES:
year_collected (unitless)
sample_id (unitless)
pop_defined (unitless)
geographic_location (unitless)
state_name (unitless)
estuary_local (unitless)
mt_haplotype (unitless)
mt_hap_group (unitless)
mt_hap_subgroup (unitless)
collector (unitless)
SRA_Run (unitless)
SRA_Study (unitless)
version (unitless)
BioSample (unitless)
latitude (degrees_north)
longitude (Site_lon, degrees_east)
sites_collector (unitless)
Assay_Type (unitless)
AvgSpotLen (count)
Bases (count)
BioProject (unitless)
BioSampleModel (unitless)
Bytes (Bytes)
... (11 more variables)


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

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

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


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

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

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


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

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


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

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

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


[Discrete bottle data from Hydrostation S] - Discrete bottle data from Hydrostation S in the Sargasso Sea from January 1955 through June 2025 (The Panulirus Hydrographic Stations (Hydrostation S))

Summary:
Data presented here are discrete bottle samples from the Hydrostation S (or Panulirus) time series site located 20 km SE of Bermuda (32°10'N, 64°30'W) in the Sargasso Sea for January 1955 (cruise #60009) through December 2024 (cruise #61501). Measurements were collected at near biweekly intervals where possible depending on weather and ship availability. Prior to the arrival of Weatherbird I in 1983, station occupation during winter months was limited due to the sea-going capabilities of the former vessels. The standard sample parameter list has been mostly consistent for the full time-series record and includes temperature, salinity, and dissolved oxygen. Since October 1988 (cruise #60643), data and samples have been collected using a SeaBird 911+ CTD and integrated Niskin rosette system. The largest data gap of almost one year was due to the loss of all the Niskin bottles and reversing thermometers following a break in the hydro wire on station #463 (April 1979).

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


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

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

Study description:

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

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

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


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

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

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


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

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

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

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


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

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

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


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

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

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


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

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

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


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

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

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


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

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

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


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

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

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


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

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

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


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

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

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


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

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

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


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

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

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


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

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

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


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

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

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


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

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

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


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

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

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


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

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

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


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

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

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


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

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

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


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

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

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


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

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

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


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

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

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


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

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

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


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

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

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


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

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

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

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

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


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

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

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


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

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

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


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

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

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


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

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

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


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

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

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


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

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

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

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


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

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

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


[DON concentration and DON d15N] - Measurements of dissolved organic nitrogen concentration and d15N from R/V Atlantis and R/V Melville cruises in the Eastern Tropical South Pacific from 2010 to 2011. (Collaborative Research: Documenting N2 fixation in N deficient waters of the Eastern Tropical South Pacific)

Summary:
Measurements of dissolved organic nitrogen concentration and d15N from R/V Atlantis and R/V Melville cruises in the Eastern Tropical South Pacific from 2010 to 2011.

cdm_data_type = Other
VARIABLES:
deployment (unitless)
cruise_year (unitless)
date (unitless)
station (unitless)
latitude (degrees_north)
longitude (degrees_east)
depth (m)
NO3_NO2 (Mole Concentration Of Nitrate In Sea Water, uM)
NO3_NO2_d15N (Mole Concentration Of Nitrate In Sea Water, ppm vs air)
DON (uM)
DON_stdev (uM)
DON_d15N (DON D15 N, ppm vs air)
DON_d15N_stdev (DON D15 N Stdev, ppm vs air)


[DON_Oxidation] - Dissolved Organic Nitrogen oxidation collected on cruise SAV 17-16 in the South Atlantic Bight aboard the R/V Savannah from 2011 to 2017 (Collaborative Research: Direct Oxidation of Organic Nitrogen by Marine Ammonia Oxidizing Organisms)

Summary:
This dataset contains the results of analyses related to ammonia oxidation rates, including oxidation rates of 15N supplied as ammonia, urea, 1,2 diamino ethane, 1,3 diamino propane, 1,4 diamino butane (putrescine), arginine and glutamate. Ancillary data including nutrient concentrations and the abundance of ammonia- and nitrite-oxidizing microorganisms are also reported. The samples analyzed to produce the dataset were collected off the coast of Georgia, USA. Most data were collected on one cruise in August 2017, incidental data from 2011, 2013 and 2016 are also reported.

cdm_data_type = Other
VARIABLES:
Cruise_ID (unitless)
Sta (unitless)
Region (unitless)
depth (m)
longitude (degrees_east)
latitude (degrees_north)
latitude2 (Latitude, degrees and decimal minutes N)
longitude2 (Longitude, degrees and decimal minutes W)
Date (unitless)
ISO_Date (unitless)
Bacterial_16S_rRNA (Bacterial 16 S R RNA, copies per liter filtered)
Thaumarchaeal_16S_rRNA (Thaumarchaeal 16 S R RNA, copies per liter filtered)
WCA_amoA (WCA Amo A, copies per liter filtered)
WCB_amoA (WCB Amo A, copies per liter filtered)
Nitrospina_16S_rRNA (Nitrospina 16 S R RNA, copies per liter filtered)
N15_added (nanomoles per liter)
Ammonia_Oxidation (nanomoles per liter per day)
Ammonia_Oxidation_sd (nanomoles per liter per day)
N15_ox_from_PUT (nanomoles per liter per day)
N15_ox_from_PUT_sd (nanomoles per liter per day)
N15_ox_from_GLU (nanomoles per liter per day)
... (21 more variables)


[Dongsha Atoll Coral Calcification Rates] - Annual calcification rate time series of Porites corals on Dongsha Atoll (Can Coral Reefs in the Central Pacific Survive Ocean Warming? A 2015 El Nino Test)

Summary:
Annual calcification rate time series of Porites corals on Dongsha Atoll.

cdm_data_type = Other
VARIABLES:
location (unitless)
latitude (degrees_north)
longitude (degrees_east)
core_id (unitless)
status_July_2015 (unitless)
stress_bands (unitless)
year (unitless)
calcification_rate (grams per centimeter per year (g cm-2 yr-1))


[Dongsha Atoll Ecological Survey Data] - Ecological survey data from benthic photo-quadrat surveys done on Dongsha Atoll pre- and post- bleaching event in 2015 (Can Coral Reefs in the Central Pacific Survive Ocean Warming? A 2015 El Nino Test)

Summary:
Ecological survey data from benthic photo-quadrat surveys done on Dongsha Atoll pre- and post- bleaching event in 2015.

cdm_data_type = Other
VARIABLES:
site (unitless)
latitude (degrees_north)
longitude (degrees_east)
status (unitless)
species_or_substrate_type (unitless)
survey_date (unitless)
count (unitless (counts))


[Doo et al. 2018, Coral Reefs - Mesocosm buoyant weight data] - Calcification of coral from the start and end of experiments under elevated concentrations of temperature and carbon dioxide (Moorea Coral Reef Long-Term Ecological Research site)

Summary:
Calcification of coral from the start and end of experiments under elevated concentrations of temperature and carbon dioxide.

cdm_data_type = Other
VARIABLES:
Coral_number (unitless)
pH (unitless)
Temperature (unitless)
Crab (unitless)
Growth (grams)


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

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

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


[DOPv2021] - DOP concentration observations from the global ocean between 1990 and 2021 (DOP N2 fixation and export production project) (Collaborative Research: Dissolved organic phosphorus controls on marine nitrogen fixation and export production)

Summary:
DOP (Dissolved Organic Phosphorus) concentration observations in the global ocean between 1990 and 2021 over multiple deployments. DOP concentrations in this study were calculated as the difference between TDP concentrations and SRP concentrations of samples. For DOP concentrations reported here, TDP concentrations were measured by the ash/hydrolysis method based on Monaghan and Ruttenberg, 1999.

cdm_data_type = Other
VARIABLES:
EXPOCODE (unitless)
cruise (unitless)
date (unitless)
StationID (unitless)
BottleID (unitless)
latitude (degrees_north)
longitude (degrees_east)
depth (m)
Temperature (degrees Celsius)
Salinity (psu)
NO3_plus_NO2 (uM)
SRP (uM)
DOP (uM)
DOP_flag (unitless)
region (unitless)
method (unitless)
reference (unitless)


[DOS, DOP, DOBr, and DOI depth profiles from BATS and HOT] - Dissolved organic compound (DOS, DOP, DOBr, DOI) depth profiles collected at the Bermuda Atlantic Time Series Station (BATS) in August 2019 and at the Hawaii Ocean Time Series Station Aloha in July 2021 (The fate of lysis products of picocyanobacteria contributes to marine humic-like chromophoric dissolved organic matter)

Summary:
This dataset contains the Dissolved organic sulfur (DOS), dissolved organic phosphorus (DOP), dissolved organic bromine (DOBr) and dissolved organic iodine (DOI) data obtained ICP-MS analysis of solid-phase extracted samples collected at the BATS station (August 2019) and HOT station ALOHA (July 2021). These data are complementary to the fluorescence data set that was sampled at 200 m depth intervals in both the Central North Atlantic (BATS) and Central North Pacific (ALOHA). While the focus of study is to better understand a marine source of fluorescent dissolved organic matter (DOM) (i.e., picocyanobacteria), these data were collected to evaluate whether these heteroatoms within DOM follow the same trends with depth as the fluorescent components determined by parallel factor analysis of 3D fluorescence spectra. Briefly, DOM was isolated by solid phase extraction from 10L seawater samples that were collected from the surface to the seafloor at each station, resulting in 10 mL methanolic extracts for each sample. Extracts were stored at -20 degrees C until analysis in our home laboratory. Portions of these extracts were dried completely and re-dissolved in ultrapure water prior to DOS, DOP, DOBr, or DOI analysis by inductively coupled plasma-mass spectrometry.

cdm_data_type = Other
VARIABLES:
location (unitless)
start_date (unitless)
latitude (degrees_north)
longitude (degrees_east)
depth (m)
DOS (nanomolar (nM))
DOP (nanomolar (nM))
DOBr (nanomolar (nM))
DOI (nanomolar (nM))


[Dose response evaluation of oyster shell strengthening in response to homarine and trigonelline] - Juvenile oyster shell strength measurements from a dose response assay of chemical cues homarine and trigonelline conducted at Dauphin Island Sea Lab, Dauphin Island, AL in June - August 2021 (Collaborative Research: Keystone chemicals: Identifying general and universal molecules of fear)

Summary:
These data include measurements of juvenile oyster shell strength from a dose response experiment conducted at Dauphin Island Sea Lab, Dauphin Island, AL in June - August of 2021.
Study description:

Homarine and trigonelline are two blue crab urine metabolites that cause juvenile oysters to strengthen their shells are a defensive response. We evaluated the dose dependency of this response with a dose-response experiment where homarine and trigonelline concentrations (of each individual chemical and a combination of the two) spanned 5 log half-steps. Juvenile oysters were exposed to chemicals for 8 weeks and their shell strength (N) was measured and standardized to the size of the animals (mm) as a proxy for understanding this defense.

cdm_data_type = Other
VARIABLES:
ID (unitless)
Block (unitless)
Treatment (unitless)
Replicate (unitless)
Pair (unitless)
Tile (unitless)
Individual (unitless)
size (millimeters (mm))
crushing_force (newtons (N))
stand_crushing_force (newtons per millimeter (N/mm))


[Dose response evaluation of oyster shell strengthening to varying blue crab urine concentrations] - Juvenile oyster shell strength measurements from a dose response experiment with an array of blue crab urine concentrations conducted at Dauphin Island Sea Lab, Dauphin Island, AL in August - Oct 2022 (Collaborative Research: Keystone chemicals: Identifying general and universal molecules of fear)

Summary:
These data include measurements of juvenile oyster shell strength from a dose response experiment of varying blue crab urine concentrations conducted at Dauphin Island Sea Lab, Dauphin Island, AL in August - Oct 2022.
Study description:

Metabolites from blue crab urine are known to cause shell strengthening in juvenile oysters as a defensive response. Previous studies have identified several bioactive molecules in urine that induce this response in oysters, but others have yet to be identified. In the current study, an array of concentrations of blue crab urine was used to treat oyster juveniles in order to assess the dose-dependency of this response. Oysters were exposed to urine treatments for 8 weeks and their shell strength (N) was measured and standardized to the size of the animals (mm) as a proxy for understanding this defense.

cdm_data_type = Other
VARIABLES:
ID (unitless)
Diet (unitless)
Treatment (unitless)
Dose (unitless)
Replicate (unitless)
Pair (unitless)
Tile (unitless)
Individual (unitless)
size (millimeters (mm))
crushing_force_N (newtons (N))
stand_crushing_force (newtons per millimeter (N/mm))


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

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

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


[drifter_start_positions] - Initial drifter deployment positions from R/V Endeavor, R/V Albatross IV, R/V Oceanus, R/V Delaware, R/V Cape Hatteras, CCGS Cygnus, and R/V Parizeau in the Gulf of Maine and Georges Bank from 1995-1999 (U.S. GLOBEC Georges Bank)

Summary:
Initial positions of drifters deployed from 1995 to 1999 in support of the U.S. GLOBEC Georges Bank program.

cdm_data_type = Other
VARIABLES:
year (unitless)
drifterid (dimensionless)
argosid (dimensionless)
cruiseid (dimensionless)
month_gmt (month (1-12), MM)
day_gmt (day (1-31), dd)
time_gmt (HHmm)
latitude (degrees_north)
longitude (degrees_east)
status (dimensionless)
inst (dimensionless)
comments (dimensionless)


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

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

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


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

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

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


[drifters_argos] - Raw drifter data from RVIB Nathaniel B. Palmer and ARSV Laurence M. Gould cruises NBP0103, LMG0103, LMG0201A, and NBP0202 in the Southern Ocean from 2001-2002 (SOGLOBEC project) (U.S. GLOBEC Southern Ocean)

Summary:
The following was extracted from the Cruise Report of the N.B. Palmer Cruise 01-03:\r\n\r\n2.0 Drifter Measurements (Bob Beardsley and Dick Limeburner)\r\nSurface drifters are being deployed and tracked via satellite to study the near surface Lagrangian currents in the SO GLOBEC study area on the western Antarctic Peninsula Shelf. Each drifter has a small (~ 30 cm diameter) surface float with ARGOS transmitter and batteries tethered to a holey sock drogue centered at 15 m below the surface. The drogue, about 10 m tall and 1 m in diameter, is designed to \lock\ itself to the water so that the surface float follows the mean water motion at 15 m depth with very little slippage even in high winds. Thus measuring the drifter's position as a function of time provides a Lagrangian measurement of the 15-m ocean current.

cdm_data_type = Other
VARIABLES:
year_start (dimensionless)
drifterid (dimensionless)
argosid (dimensionless)
cruise_id (dimensionless)
date_start_gmt (dimensionless)
time_start_gmt (dimensionless)
lat_start (Latitude, decimal degrees)
lon_start (decimal degrees)
comments (N/A)
latitude (degrees_north)
longitude (degrees_east)
temp_ss (degrees C)
depth (m)
yrday_gmt (Decimal year day)
time_gmt (dimensionless)
month_gmt (dimensionless)
day_gmt (dimensionless)
year (dimensionless)


[Drop Sampling Data - Port Fourchon, LA 2022] - Species counts, site-level information and environmental context sampled near Port Fourchon, Louisiana from September 23 - 29, 2022. (CAREER: Integrating Seascapes and Energy Flow: learning and teaching about energy, biodiversity, and ecosystem function on the frontlines of climate change)

Summary:
This dataset provides species count data collected during the Fall 2022 drop sampling season at 52 sites near Port Fourchon, Louisiana. The sampling effort aimed to assess the abundance and composition of estuarine nekton species across a landscape experiencing significant climate-driven habitat change, including mangrove encroachment and marsh loss. Species counts were obtained using a drop sampler with a 1.2 m² area, deployed along the marsh edge at each site. Nekton within the sampler were captured using a suction pump and dipnets, sorted into taxonomic groups, and enumerated.The data are presented alongside site-level information, including approximate geolocation, date, and environmental context (e.g., habitat classification derived from drone and satellite imagery).

The purpose of this dataset is to evaluate how species abundances respond to habitat structure at multiple spatial scales, particularly in relation to landscape metrics such as land-to-water ratio, edge area, and mangrove cover. This dataset is useful for ecologists, resource managers, and conservation scientists interested in habitat suitability, estuarine ecology, and the impacts of climate-driven habitat changes on coastal nekton communities.

This dataset is part of a study exploring the effect of habitat scale on models linking species abundance to landscape metrics. This was collected by Herbert Leavitt, Dr. James Nelson, and Alex Thomas. Affiliation at time of sampling was University of Louisiana at Lafayette.

cdm_data_type = Other
VARIABLES:
site_date_key (unitless)
site_number (unitless)
sample_date (unitless)
sample_trip (unitless)
water_depth (cm)
temperature (degrees Celcius (°C))
salinity (parts per thousand (ppt or ‰))
latitude (degrees_north)
longitude (degrees_east)
... (49 more variables)


[DYEatom: Metatranscriptome accessions and assembled contigs] - DYEatom Metatranscriptome metadata from RV/Point Sur cruise PS1312 in the Monterey Bay area, June-July 2013 (Linking physiological and molecular aspects of diatom silicification in field populations)

Summary:
Metadata for assembled contigs and ORFS from metatranscriptome analysis from CTD casts in the Monterey Bay area on RV/Point Sur cruise PS1312, June-July 2013. Assembled contigs files are also available; see Supplemental Files.

cdm_data_type = Other
VARIABLES:
BioProject_type (Bio Project Type, unitless)
BioProject_id (Bio Project Id, unitless)
BioSample (Bio Sample, unitless)
Sample_name (unitless)
SRA_id (unitless)
Package_type (unitless)
version (unitless)
Accession (unitless)
ID (unitless)
cruise_id (unitless)
CTD_cast (unitless)
latitude (degrees_north)
longitude (degrees_east)
Date_collection (unitless)
station (unitless)
depth (m)


[Eastern Shore bottom water analysis] - Chemical analysis from sediment core bottom water samples collected in the back barrier island bays on Virginia’s Eastern Shore in July 2017 (Toward an Improved Understanding of Blue Carbon: The Role of Seagrasses in Sequestering CO2)

Summary:
This dataset includes results of analysis on sediment core bottom water samples collected in the back barrier island bays on Virginia\u2019s Eastern Shore in July 2017 - initial pH, alkalinity, sulfate, DIC, and DOC.

cdm_data_type = Other
VARIABLES:
sample_id (unitless)
site (unitless)
latitude (degrees_north)
longitude (degrees_east)
num_replicate_bottles (bottles)
initial_pH (Initial P H, NBS scale)
initial_pH_stdev (Initial P H Stdev, NBS scale)
Alk (milliMoles)
Alk_stdev (milliMoles)
Sulfate (milliMoles)
Sulfate_stdev (milliMoles)
DIC (microMoles)
DIC_stdev (microMoles)
DOC (microMoles)
DOC_stdev (microMoles)


[Eastern Shore pore water analysis] - Chemical analysis from sediment core pore water samples collected in the back barrier island bays on Virginia’s Eastern Shore in July 2017 (Toward an Improved Understanding of Blue Carbon: The Role of Seagrasses in Sequestering CO2)

Summary:
This dataset includes results of analysis on sediment cores collected in the back barrier island bays on Virginia\u2019s Eastern Shore in July 2017 - initial pH, alkalinity, sulfate, DIC, Fe, NH4, sulfide, and DOC.

cdm_data_type = Other
VARIABLES:
site (unitless)
latitude (degrees_north)
longitude (degrees_east)
Core (unitless)
Depth_cm (Depth, centimeters)
Initial_pH (Initial P H, NBS scale)
Alkalinity_mM (Alkalinity M M, milliMoles)
Sulfate_mM (Sulfate M M, milliMoles)
DIC_mM (DIC M M, milliMoles)
Fe_uM (Fe U M, microMoles)
NH4_uM (NH4 U M, microMoles)
Sulfide_uM (Sulfide U M, microMoles)
DOC_uM (DOC U M, microMoles)


[Eastern Shore sediment core metadata] - Sediment core sample metadata collected July 2017 in the back barrier island bays on Virginia’s Eastern Shore (Toward an Improved Understanding of Blue Carbon: The Role of Seagrasses in Sequestering CO2)

Summary:
This dataset includes metadata on sediment cores collected during July 2017 in the back barrier island bays on Virginia\u2019s Eastern Shore - location, date and time of sample collection and processing, and which analyses were performed on each core.

cdm_data_type = Other
VARIABLES:
site (unitless)
latitude (degrees_north)
longitude (degrees_east)
core (unitless)
date_processed (unitless)
PW (unitless)
Ox (unitless)
phi (unitless)
Pb210 (unitless)
sol (unitless)


[Eastern Shore sediment core oxygen profiles] - Oxygen profiles from sediment core samples collected in the back barrier island bays on Virginia’s Eastern Shore in July 2017 (Toward an Improved Understanding of Blue Carbon: The Role of Seagrasses in Sequestering CO2)

Summary:
This dataset includes oxygen profiles from sediment core samples collected in the back barrier island bays on Virginia\u2019s Eastern Shore in July 2017.

cdm_data_type = Other
VARIABLES:
site (unitless)
latitude (degrees_north)
longitude (degrees_east)
core (unitless)
profile (unitless)
ISO_DateTime_Local_collected (ISO Date Time Local Collected, unitless)
ISO_DateTime_Local_scan (ISO Date Time Local Scan, unitless)
depth_cm (Depth, centimeters)
O2_uM (O2 U M, microMoles)


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

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

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


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

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

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

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


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

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

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

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


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

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

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

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


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

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

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

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


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

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

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


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

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

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


[Edmunds and Lasker MEPS 2019 Fig 1a: Density pooled taxa and one year] - Octocoral colony density by pooled taxa, life stage, and year from surveys conducted in St. John, US Virgin Islands from 2014 to 2017 (Collaborative Research: Pattern and process in the abundance and recruitment of Caribbean octocorals)

Summary:
Octocoral colony density pooled by taxon and year from surveys conducted in St. John, US Virgin Islands from 2014 to 2017. These data were used in Edmunds and Lasker (2019) Figure 1.

cdm_data_type = Other
VARIABLES:
Site (unitless)
Quad (unitless)
Life_stage (unitless)
Taxon (unitless)
Density (number per quadrat)


[Edmunds and Lasker MEPS 2019 Fig 1b: Height pooled taxa and one year] - Octocoral colony height pooled by taxon and year from surveys conducted in St. John, US Virgin Islands from 2014 to 2017 (Collaborative Research: Pattern and process in the abundance and recruitment of Caribbean octocorals)

Summary:
Octocoral colony height pooled by taxon and year from surveys conducted in St. John, US Virgin Islands from 2014 to 2017.  These data were used in Edmunds and Lasker (2019) Figure 1.

cdm_data_type = Other
VARIABLES:
Year (untiless)
Taxon (untiless)
Site (untiless)
Height (centimeters (cm))


[Edmunds and Lasker MEPS 2019 Fig 2a: Density by taxon and year] - Octocoral colony density by pooled taxa, life stage, and year from surveys conducted in St. John, US Virgin Islands from 2014 to 2017 (Collaborative Research: Pattern and process in the abundance and recruitment of Caribbean octocorals)

Summary:
Octocoral colony density pooled by taxon and year from surveys conducted in St. John, US Virgin Islands from 2014 to 2017. These data were used in Edmunds and Lasker (2019) Figure 2.

cdm_data_type = Other
VARIABLES:
Year (unitless)
Taxon (unitless)
Site (unitless)
Life_stage (unitless)
Density (number per quadrat)


[Edmunds and Lasker MEPS 2019 Fig 2b: Height by taxon and year] - Octocoral colony height by pooled pooled taxa and year from surveys conducted in St. John, US Virgin Islands from 2014 to 2017 (Collaborative Research: Pattern and process in the abundance and recruitment of Caribbean octocorals)

Summary:
Octocoral colony height pooled by taxon and year from surveys conducted in St. John, US Virgin Islands from 2014 to 2017. These data were used in Edmunds and Lasker (2019) Figure 2.

cdm_data_type = Other
VARIABLES:
Year (unitless)
Taxon (unitless)
Site (unitless)
Life_stage (unitless)
Height (centimeters (cm))


[Edmunds and Lasker MEPS 2019 Fig 3: Community NMDS] - Octocoral colony density by pooled taxa, site, and quadrat from surveys conducted in St. John, US Virgin Islands from 2014 to 2017 (Collaborative Research: Pattern and process in the abundance and recruitment of Caribbean octocorals)

Summary:
Octocoral community NMDS from surveys conducted in St. John, US Virgin Islands from 2014 to 2017. These data were used in Edmunds and Lasker (2019) Figure 3, Community non-metric multidimensional scaling (NMDS).

cdm_data_type = Other
VARIABLES:
Year (unitless)
Taxon (unitless)
Site (unitless)
Life_Stage (unitless)
Mean_density (number per quadrat)
SE_Density (number per quadrat)


[Edmunds and Lasker MEPS 2019 Fig S1: Sampling effort] - Octocoral sampling effort (density by pooled taxa and site) from surveys conducted in St. John, US Virgin Islands from 2014 to 2017 (Collaborative Research: Pattern and process in the abundance and recruitment of Caribbean octocorals)

Summary:
Octocoral sampling effort (density by pooled taxa and site) from surveys conducted in St. John, US Virgin Islands from 2014 to 2017. These data were used in Edmunds and Lasker (2019) Figure S1.

cdm_data_type = Other
VARIABLES:
Year (unitless)
Taxon (unitless)
Site (unitless)
Number_of_quadrats (unitless)
Density (number per quadrat)


[Edmunds and Lasker MEPS 2019 Fig S3: Sampling effort, juveniles] - Octocoral sampling effort (density of juveniles pooled taxa, year, site, and quadrat) from surveys conducted in St. John, US Virgin Islands from 2014 to 2017 (Collaborative Research: Pattern and process in the abundance and recruitment of Caribbean octocorals)

Summary:
Octocoral sampling effort (density of juveniles pooled taxa, year, site, and quadrat) from surveys conducted in St. John, US Virgin Islands from 2014 to 2017. These data were used in Edmunds and Lasker (2019) Figure S3.

cdm_data_type = Other
VARIABLES:
Year (unitless)
Taxon (unitless)
Site (unitless)
Quadrat (unitless)
Density (number per quadrat)


[Edmunds and Lasker MEPS 2019 Fig S4: Colony sizes] - Octocoral colony sizes (height by pooled taxa, site, and year) from surveys conducted in St. John, US Virgin Islands from 2014 to 2017 (Collaborative Research: Pattern and process in the abundance and recruitment of Caribbean octocorals)

Summary:
Octocoral colony sizes (height by pooled taxa, site, and year) from surveys conducted in St. John, US Virgin Islands from 2014 to 2017. These data were used in Edmunds and Lasker (2019) Figure S4.

cdm_data_type = Other
VARIABLES:
Year (unitless)
Taxon (unitless)
Site (unitless)
Height (cenitmeters (cm))


[Edmunds and Lasker MEPS 2019 Fig S5a: Density] - Octocoral colony density by taxon, year, site, and life stage from surveys conducted in St. John, US Virgin Islands from 2014 to 2017 (Collaborative Research: Pattern and process in the abundance and recruitment of Caribbean octocorals)

Summary:
Octocoral colony density by taxon, year, site, and life stage from surveys conducted in St. John, US Virgin Islands from 2014 to 2017.  These data were used in Edmunds and Lasker (2019) Figure S5.

cdm_data_type = Other
VARIABLES:
Year (unitless)
Taxon (unitless)
Site (unitless)
Life_stage (unitless)
Density (number per quadrat)


[Edmunds and Lasker MEPS 2019 Fig S5b: Height] - Octocoral colony height by taxon, year, site, and life stage from surveys conducted in St. John, US Virgin Islands from 2014 to 2017 (Collaborative Research: Pattern and process in the abundance and recruitment of Caribbean octocorals)

Summary:
Octocoral colony height by taxon, year, site, and life stage from surveys conducted in St. John, US Virgin Islands from 2014 to 2017.  These data were used in Edmunds and Lasker (2019) Figure S5.

cdm_data_type = Other
VARIABLES:
Year (unitless)
Taxon (unitless)
Site (unitless)
Life_stage (unitless)
Height (centimeters (cm))


[Edmunds et al. 2019b: Sizes of organisms fixed to flume floor] - Sizes of organisms fixed to flume floor from back reef community flume experiments conducted in Moorea, French Polynesia, from Nov 2015 to Nov 2016 (Collaborative Research: Ocean Acidification and Coral Reefs: Scale Dependence and Adaptive Capacity)

Summary:
These data describe the fauna that was secured to a metal grid in the bottom of the flume.  These data are results of an experiment incubating a back reef community from Moorea, French Polynesia, for one year at high pCO2 (published in Edmunds et al. 2019) from Nov of 2015 to Nov of 2016.

cdm_data_type = Other
VARIABLES:
Flume (unitless)
ID_number (unitless)
Species (unitless)
Initial (grams (g))
Final (grams (g))


[Edmunds et al. 2019b: Sizes of organisms not fixed to flume floor] - Sizes of organisms not fixed to flume floor from back reef community flume experiments conducted in Moorea, French Polynesia, from Nov 2015 to Nov 2016 (Collaborative Research: Ocean Acidification and Coral Reefs: Scale Dependence and Adaptive Capacity)

Summary:
These data describe the mobile fauna in the flumes that were not fixed to the bottom of the flume. These data are results of an experiment incubating a back reef community from Moorea, French Polynesia, for one year at high pCO2 (published in Edmunds et al. 2019) from Nov of 2015 to Nov of 2016.

cdm_data_type = Other
VARIABLES:
Flume (unitless)
ID_number (unitless)
Species (unitless)
Month_Number (unitless)
Mass (grams (g))
Month (unitless)
Year (unitless)


[Edmunds et al. 2019b: Sizes of organisms used to calculate growth and for community analysis ] - Sizes of organisms used to calculate growth and for community analysis from back reef community flume experiments conducted in Moorea, French Polynesia, from Nov 2015 to Nov 2016 (Collaborative Research: Ocean Acidification and Coral Reefs: Scale Dependence and Adaptive Capacity)

Summary:
These data include sizes of organisms used to calculate growth and for community analysis and percent cover of each organism described from planar photographs. These data are results of an experiment incubating a back reef community from Moorea, French Polynesia, for one year at high pCO2 (published in Edmunds et al. 2019) from Nov of 2015 to Nov of 2016.

cdm_data_type = Other
VARIABLES:
Flume (unitless)
Analysis (unitless)
Month_Number (unitless)
Year (unitless)
Month (unitless)
ID (unitless)
Taxon (unitless)
AREA (percent (%))


[Edmunds et al. 2020 ICES: pCO2 flume - Coral area] - Coral area from a study of year-long effects of high pCO2 on the community structure of a tropical fore reef assembled in outdoor flumes in Moorea, French Polynesia from 2017 to 2018 (RUI: Ocean Acidification- Category 1- The effects of ocean acidification on the organismic biology and community ecology of corals, calcified algae, and coral reefs)

Summary:
This coral calcification dataset includes the areas of corals as they changed over a year-long experiment. Flume physical and chemical conditions are provided as a supplemental file. These data are part of a study of year-long effects of high pCO2 on the community structure of a tropical fore reef assembled in outdoor flumes in Moorea, French Polynesia from 2017 to 2018.

These coral calcification data support publication (Edmunds et al., 2020; doi:10.1093/icesjms/fsaa015) with the following abstract:

In this study, fore reef coral communities were exposed to high pCO2 for a year to explore the relationship between net accretion (Gnet) and community structure (planar area growth). Coral reef communities simulating the fore reef at 17-m depth on Mo'orea, French Polynesia, were assembled in three outdoor flumes (each 500 l) that were maintained at ambient (396 matm), 782 matm, and 1434 matm pCO2, supplied with seawater at 300 l h 1, and exposed to light simulating 17-m depth. The communities were constructed using corals from the fore reef, and the responses of massive Porites spp., Acropora spp., and Pocillopora verrucosa were assessed through monthly measurements of Gnet and planar area. High pCO2 depressed Gnet but did not affect colony area by taxon, although the areas of Acropora spp. and P. verrucosa summed to cause multivariate community structure to differ among treatments. These results suggest that skeletal plasticity modulates the effects of reduced Gnet at high pCO2 on planar growth, at least over a year. The low sensitivity of the planar growth of fore reef corals to the effects of ocean acidification.

cdm_data_type = Other
VARIABLES:
Flume (unitless)
Year_Month (unitless)
Sample (unitless)
Type (unitless)
Species (unitless)
percent_area (percent (%))