[Primary Production] - Primary productivity measurements from the Hawaii Ocean Time-Series (HOT) project from October 1988 to December 2019 at station ALOHA. ([Current] Hawaii Ocean Time-series (HOT): 2018-2023;  [Previous] Hawaii Ocean Time-series (HOT): Sustaining ocean ecosystem and climate observations in the North Pacific Subtropical Gyre)

Primary productivity measurements from the Hawaii Ocean Time-Series (HOT). Photosynthetic production of organic matter was measured by the 14C tracer method. All incubations from 1990 through mid-2000 were conducted in situ at eight depths (5, 25, 45, 75, 100, 125, 150 and 175m) over one daylight period using a free-drifting array as described by Winn et al. (1991). Starting HOT-119 (October 2000), we collected samples from only the upper six depths & modeled the lower two depths based on the monthly climatology. During 2015, all incubations were conducted in situ on a free floating, surface tethered array. Integrated carbon assimilation rates were calculated using the trapezoid rule with the shallowest value extended to 0 meters and the deepest extrapolated to a value of zero at 200 meters.

cdm_data_type = Other
VARIABLES:
Cruise (unitless)
longitude (degrees_east)
latitude (degrees_north)
PrimProd_filename (Prim Prod Filename, unitless)
Incubation_type (unitless)
Date (unitless)
Start_time (unitless)
start_date_time (unitless)
End_time (unitless)
time (End Date Time, seconds since 1970-01-01T00:00:00Z)
time2 (Time, hours)
depth (m)
Chl_a_mean (Concentration Of Chlorophyll In Sea Water, miligrams per cubic meter (mg/m3))
Chl_a_sd (miligrams per cubic meter (mg/m3))
Pheo_mean (miligrams per cubic meter (mg/m3))
Pheo_sd (miligrams per cubic meter (mg/m3))
Light_rep1 (miligrams Carbon per cubic meter (mg C/m3))
Light_rep2 (miligrams Carbon per cubic meter (mg C/m3))
Light_rep3 (miligrams Carbon per cubic meter (mg C/m3))
... (9 more variables)


[primary production] - Size-fractioned primary production rates from samples collected on R/V Atlantic Explorer cruises AE1102, AE1118, AE1206, AE1219 in the Sargasso Sea Bermuda Atlantic Time-Series Station in 2011-2012 (Trophic BATS project) (Plankton Community Composition and Trophic Interactions as Modifiers of Carbon Export in the Sargasso Sea 	)

Size-fractioned primary production rates from samples collected on R/V Atlantic Explorer cruises AE1102, AE1118, AE1206, AE1219 in the Sargasso Sea Bermuda Atlantic Time-Series Station in 2011-2012.

cdm_data_type = Other
VARIABLES:
cruise_id (dimensionless)
date_gmt (unitless)
cast (dimensionless)
time_gmt (HHMM)
latitude (degrees_north)
longitude (degrees_east)
time (ISO Date Time UTC, seconds since 1970-01-01T00:00:00Z)
depth (m)
sample (dimensionless)
size_fraction (micrometers)
Prod_NPP_light (mg C/m3/d)
Prod_NPP_light_dark (mg C/m3/d)


[Pro Syn Peuk CC Global Abundance Mean] - Prochlorococcus, Synechococcus, and picoeukaryotic phytoplankton yearly mean global abundance for four CMIP5 climate scenarios using an ensemble of five circulation models (Convergence: RAISE: Linking the adaptive dynamics of plankton with emergent global ocean biogeochemistry)

Prochlorococcus, Synechococcus, and picoeukaryotic phytoplankton yearly mean
global abundance for four CMIP5 climate scenarios using an ensemble of five
circulation models from 1900 to 2100.

cdm_data_type = Other
VARIABLES:
Years_for_Historic_scenario (unitless)
Years_for_scenarios_RCP2_6_RCP4_5_RCP8_5 (unitless)
Prochlorococccus_for_HISTORIC_scenario_GFDLESM2G_Model (Prochlorococccus For HISTORIC Scenario GFDLESM2 G Model, number of cells)
Prochlorococccus_for_HISTORIC_scenario_HadGEM2ES_Model (Prochlorococccus For HISTORIC Scenario Had GEM2 ES Model, number of cells)
Prochlorococccus_for_HISTORIC_scenario_IPSLCM5AMR_Model (Prochlorococccus For HISTORIC Scenario IPSLCM5 AMR Model, number of cells)
Prochlorococccus_for_HISTORIC_scenario_MPIESMLR_Model (number of cells)
Prochlorococccus_for_HISTORIC_scenario_NorESM1ME_Model (Prochlorococccus For HISTORIC Scenario Nor ESM1 ME Model, number of cells)
Prochlorococccus_for_RCP2_6_scenario_GFDLESM2G_Model (Prochlorococccus For RCP2 6 Scenario GFDLESM2 G Model, number of cells)
Prochlorococccus_for_RCP2_6_scenario_HadGEM2ES_Model (Prochlorococccus For RCP2 6 Scenario Had GEM2 ES Model, number of cells)
Prochlorococccus_for_RCP2_6_scenario_IPSLCM5AMR_Model (Prochlorococccus For RCP2 6 Scenario IPSLCM5 AMR Model, number of cells)
Prochlorococccus_for_RCP2_6_scenario_MPIESMLR_Model (number of cells)
Prochlorococccus_for_RCP2_6_scenario_NorESM1ME_Model (Prochlorococccus For RCP2 6 Scenario Nor ESM1 ME Model, number of cells)
Prochlorococccus_for_RCP4_5_scenario_GFDLESM2G_Model (Prochlorococccus For RCP4 5 Scenario GFDLESM2 G Model, number of cells)
Prochlorococccus_for_RCP4_5_scenario_HadGEM2ES_Model (Prochlorococccus For RCP4 5 Scenario Had GEM2 ES Model, number of cells)
Prochlorococccus_for_RCP4_5_scenario_IPSLCM5AMR_Model (Prochlorococccus For RCP4 5 Scenario IPSLCM5 AMR Model, number of cells)
Prochlorococccus_for_RCP4_5_scenario_MPIESMLR_Model (number of cells)
Prochlorococccus_for_RCP4_5_scenario_NorESM1ME_Model (Prochlorococccus For RCP4 5 Scenario Nor ESM1 ME Model, number of cells)
Prochlorococccus_for_RCP8_5_scenario_GFDLESM2G_Model (Prochlorococccus For RCP8 5 Scenario GFDLESM2 G Model, number of cells)
Prochlorococccus_for_RCP8_5_scenario_HadGEM2ES_Model (Prochlorococccus For RCP8 5 Scenario Had GEM2 ES Model, number of cells)
Prochlorococccus_for_RCP8_5_scenario_IPSLCM5AMR_Model (Prochlorococccus For RCP8 5 Scenario IPSLCM5 AMR Model, number of cells)
Prochlorococccus_for_RCP8_5_scenario_MPIESMLR_Model (number of cells)
Prochlorococccus_for_RCP8_5_scenario_NorESM1ME_Model (Prochlorococccus For RCP8 5 Scenario Nor ESM1 ME Model, number of cells)
Synechococcus_for_HISTORIC_scenario_GFDLESM2G_Model (Synechococcus For HISTORIC Scenario GFDLESM2 G Model, number of cells)
Synechococcus_for_HISTORIC_scenario_HadGEM2ES_Model (Synechococcus For HISTORIC Scenario Had GEM2 ES Model, number of cells)
Synechococcus_for_HISTORIC_scenario_IPSLCM5AMR_Model (Synechococcus For HISTORIC Scenario IPSLCM5 AMR Model, number of cells)
... (37 more variables)


[Pro Syn Peuk CC Global Abundance Std] - Prochlorococcus, Synechococcus, and picoeukaryotic phytoplankton yearly standard deviation from mean global abundance estimated for four CMIP5 climate scenarios using an ensemble of five circulation models (Convergence: RAISE: Linking the adaptive dynamics of plankton with emergent global ocean biogeochemistry)

Prochlorococcus, Synechococcus,\u00a0and picoeukaryotic phytoplankton yearly
standard deviation from mean global abundance estimated for four CMIP5 climate
scenarios using an ensemble of five circulation models from 1900 to 2100.

cdm_data_type = Other
VARIABLES:
Years_for_Historic_scenario (unitless)
Years_for_scenarios_RCP2_6_RCP4_5_RCP8_5 (unitless)
Prochlorococccus_for_HISTORIC_scenario_GFDLESM2G_Model (Prochlorococccus For HISTORIC Scenario GFDLESM2 G Model, number of cells)
Prochlorococccus_for_HISTORIC_scenario_HadGEM2ES_Model (Prochlorococccus For HISTORIC Scenario Had GEM2 ES Model, number of cells)
Prochlorococccus_for_HISTORIC_scenario_IPSLCM5AMR_Model (Prochlorococccus For HISTORIC Scenario IPSLCM5 AMR Model, number of cells)
Prochlorococccus_for_HISTORIC_scenario_MPIESMLR_Model (number of cells)
Prochlorococccus_for_HISTORIC_scenario_NorESM1ME_Model (Prochlorococccus For HISTORIC Scenario Nor ESM1 ME Model, number of cells)
Prochlorococccus_for_RCP2_6_scenario_GFDLESM2G_Model (Prochlorococccus For RCP2 6 Scenario GFDLESM2 G Model, number of cells)
Prochlorococccus_for_RCP2_6_scenario_HadGEM2ES_Model (Prochlorococccus For RCP2 6 Scenario Had GEM2 ES Model, number of cells)
Prochlorococccus_for_RCP2_6_scenario_IPSLCM5AMR_Model (Prochlorococccus For RCP2 6 Scenario IPSLCM5 AMR Model, number of cells)
Prochlorococccus_for_RCP2_6_scenario_MPIESMLR_Model (number of cells)
Prochlorococccus_for_RCP2_6_scenario_NorESM1ME_Model (Prochlorococccus For RCP2 6 Scenario Nor ESM1 ME Model, number of cells)
Prochlorococccus_for_RCP4_5_scenario_GFDLESM2G_Model (Prochlorococccus For RCP4 5 Scenario GFDLESM2 G Model, number of cells)
Prochlorococccus_for_RCP4_5_scenario_HadGEM2ES_Model (Prochlorococccus For RCP4 5 Scenario Had GEM2 ES Model, number of cells)
Prochlorococccus_for_RCP4_5_scenario_IPSLCM5AMR_Model (Prochlorococccus For RCP4 5 Scenario IPSLCM5 AMR Model, number of cells)
Prochlorococccus_for_RCP4_5_scenario_MPIESMLR_Model (number of cells)
Prochlorococccus_for_RCP4_5_scenario_NorESM1ME_Model (Prochlorococccus For RCP4 5 Scenario Nor ESM1 ME Model, number of cells)
Prochlorococccus_for_RCP8_5_scenario_GFDLESM2G_Model (Prochlorococccus For RCP8 5 Scenario GFDLESM2 G Model, number of cells)
Prochlorococccus_for_RCP8_5_scenario_HadGEM2ES_Model (Prochlorococccus For RCP8 5 Scenario Had GEM2 ES Model, number of cells)
Prochlorococccus_for_RCP8_5_scenario_IPSLCM5AMR_Model (Prochlorococccus For RCP8 5 Scenario IPSLCM5 AMR Model, number of cells)
Prochlorococccus_for_RCP8_5_scenario_MPIESMLR_Model (number of cells)
Prochlorococccus_for_RCP8_5_scenario_NorESM1ME_Model (Prochlorococccus For RCP8 5 Scenario Nor ESM1 ME Model, number of cells)
Synechococcus_for_HISTORIC_scenario_GFDLESM2G_Model (Synechococcus For HISTORIC Scenario GFDLESM2 G Model, number of cells)
Synechococcus_for_HISTORIC_scenario_HadGEM2ES_Model (Synechococcus For HISTORIC Scenario Had GEM2 ES Model, number of cells)
Synechococcus_for_HISTORIC_scenario_IPSLCM5AMR_Model (Synechococcus For HISTORIC Scenario IPSLCM5 AMR Model, number of cells)
... (37 more variables)


[Pro Syn Peuk CC Surface] - Prochlorococcus, Synechococcus, and picoeukaryotic phytoplankton for four future climatic scenarios and five Earth System Models (cell/ml) in a global 1x1 grid for the ocean surface (50m) (Convergence: RAISE: Linking the adaptive dynamics of plankton with emergent global ocean biogeochemistry)

Prochlorococcus, Synechococcus, and picoeukaryotic phytoplankton for four
future climatic scenarios and five Earth System Models (cell/ml) in a global
1\u00bax1\u00ba-grid for the ocean surface (50m).

cdm_data_type = Other
VARIABLES:
latitude (degrees_north)
longitude (degrees_east)
Prochlorococccus_for_HISTORIC_scenario_GFDLESM2G_Model (Prochlorococccus For HISTORIC Scenario GFDLESM2 G Model, cells per milliliter (cells/mL))
Prochlorococccus_for_HISTORIC_scenario_HadGEM2ES_Model (Prochlorococccus For HISTORIC Scenario Had GEM2 ES Model, cells/mL)
Prochlorococccus_for_HISTORIC_scenario_IPSLCM5AMR_Model (Prochlorococccus For HISTORIC Scenario IPSLCM5 AMR Model, cells/mL)
Prochlorococccus_for_HISTORIC_scenario_MPIESMLR_Model (cells/mL)
Prochlorococccus_for_HISTORIC_scenario_NorESM1ME_Model (Prochlorococccus For HISTORIC Scenario Nor ESM1 ME Model, cells/mL)
Prochlorococccus_for_RCP2_6_scenario_GFDLESM2G_Model (Prochlorococccus For RCP2 6 Scenario GFDLESM2 G Model, cells/mL)
Prochlorococccus_for_RCP2_6_scenario_HadGEM2ES_Model (Prochlorococccus For RCP2 6 Scenario Had GEM2 ES Model, cells/mL)
Prochlorococccus_for_RCP2_6_scenario_IPSLCM5AMR_Model (Prochlorococccus For RCP2 6 Scenario IPSLCM5 AMR Model, cells/mL)
Prochlorococccus_for_RCP2_6_scenario_MPIESMLR_Model (cells/mL)
Prochlorococccus_for_RCP2_6_scenario_NorESM1ME_Model (Prochlorococccus For RCP2 6 Scenario Nor ESM1 ME Model, cells/mL)
Prochlorococccus_for_RCP4_5_scenario_GFDLESM2G_Model (Prochlorococccus For RCP4 5 Scenario GFDLESM2 G Model, cells/mL)
Prochlorococccus_for_RCP4_5_scenario_HadGEM2ES_Model (Prochlorococccus For RCP4 5 Scenario Had GEM2 ES Model, cells/mL)
Prochlorococccus_for_RCP4_5_scenario_IPSLCM5AMR_Model (Prochlorococccus For RCP4 5 Scenario IPSLCM5 AMR Model, cells/mL)
Prochlorococccus_for_RCP4_5_scenario_MPIESMLR_Model (cells/mL)
Prochlorococccus_for_RCP4_5_scenario_NorESM1ME_Model (Prochlorococccus For RCP4 5 Scenario Nor ESM1 ME Model, cells/mL)
Prochlorococccus_for_RCP8_5_scenario_GFDLESM2G_Model (Prochlorococccus For RCP8 5 Scenario GFDLESM2 G Model, cells/mL)
Prochlorococccus_for_RCP8_5_scenario_HadGEM2ES_Model (Prochlorococccus For RCP8 5 Scenario Had GEM2 ES Model, cells/mL)
Prochlorococccus_for_RCP8_5_scenario_IPSLCM5AMR_Model (Prochlorococccus For RCP8 5 Scenario IPSLCM5 AMR Model, cells/mL)
Prochlorococccus_for_RCP8_5_scenario_MPIESMLR_Model (cells/mL)
Prochlorococccus_for_RCP8_5_scenario_NorESM1ME_Model (Prochlorococccus For RCP8 5 Scenario Nor ESM1 ME Model, cells/mL)
Synechococcus_for_HISTORIC_scenario_GFDLESM2G_Model (Synechococcus For HISTORIC Scenario GFDLESM2 G Model, cells/mL)
Synechococcus_for_HISTORIC_scenario_HadGEM2ES_Model (Synechococcus For HISTORIC Scenario Had GEM2 ES Model, cells/mL)
Synechococcus_for_HISTORIC_scenario_IPSLCM5AMR_Model (Synechococcus For HISTORIC Scenario IPSLCM5 AMR Model, cells/mL)
... (37 more variables)


[Probe] -  (Collaborative Research: Rhythm and Blooms: Deciphering metabolic, functional and taxonomic interactions over the life cycle of a phytoplankton bloom)

This dataset contains environmental YSI EXO1 Sonde Probe data from Orcas Island, WA, USA Coastal Ocean (2m depth) from 5/27/21 to 6/18/21 collected as part of the following study.

Study abstract

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

cdm_data_type = Other
VARIABLES:
Date_PT (unitless)
... (14 more variables)


[Prochlorococcus in situ cell cycle phases] - Prochlorococcus in situ cell cycle phases fractions from RV Cape Hatteras cruises CH0409 and CH0510 in the Western Sargasso Sea in 2009 and 2010. (Top-Down Regulation of Picophytoplankton in the Sargasso Sea: Application of a Reciprocal Transplant / Dilution Approach)

Prochlorococcus in situ cell cycle phases fractions from RV Cape Hatteras cruises CH0409 and CH0510 in the Western Sargasso Sea in 2009 and 2010.

cdm_data_type = Other
VARIABLES:
Cruise (unitless)
Wx (unitless)
depth (m)
date_UTC (unitless)
time_UTC (unitless)
longitude (degrees_east)
latitude (degrees_north)
G1_pc (percent)
S_pc (percent)
G2_pc (percent)
G1G2_CV (G1 G2 CV, percent)
G2G1Ratio (G2 G1 Ratio, unitless)
time (ISO Date Time UTC, seconds since 1970-01-01T00:00:00Z)


[Prochlorococcus in situ growth rates] - Prochlorococcus in situ growth rates from cell cycle analysis from RV Cape Hatteras cruises CH0409 and CH0510 in the Western Sargasso Sea in 2009 and 2010. (Top-Down Regulation of Picophytoplankton in the Sargasso Sea: Application of a Reciprocal Transplant / Dilution Approach)

Prochlorococcus in situ growth rates from cell cycle analysis from RV Cape Hatteras cruises CH0409 and CH0510 in the Western Sargasso Sea in 2009 and 2010.

cdm_data_type = Other
VARIABLES:
Cruise (unitless)
Wx (unitless)
depth (m)
date_start_UTC (unitless)
time_start_UTC (unitless)
date_end_UTC (unitless)
time_end_UTC (unitless)
latitude (degrees_north)
lat_max (Latitude, decimal degrees)
longitude (degrees_east)
lon_max (Longitude, decimal degrees)
Td (days)
pro_gr_cc (day -1)
time (ISO Date Time UTC, seconds since 1970-01-01T00:00:00Z)


[Prochlorococcus_narB] - The  abundance of Prochlorococcus cells containing the nitrate reductase gene (narB) at the HOT and BATS sites in the Pacific and Atlantic Oceans between October 2005 and January 2008 (Nitrate Assimilation and the Ecology of Prochlorococcus: Features and Implications of Intraspecific Diversity in a Model Marine Phototroph)

Two year time series of the abundance of Prochlorococcus cells containing the
nitrate reductase gene (narB) at the HOT and BATS sites in the Pacific and
Atlantic Oceans. The goal was to collect long-term, high-resolution data on
the temporal and spatial variability of Prochlorococcus narB genotypes
belonging to the HLII and LLI clades. The abundance of Prochlorococcus cells
containing narB for each of these clades was determined by quantitative PCR at
12 depths every month from October 2005 to December 2007 at two locations:
BATS location (5 nautical mile radius around 31 40'N, 64 10'W) and HOT Station
ALOHA (5 nautical mile radius around 22 45'N, 158 00' W). These field samples
are a subset of those utilized in the \Prochlorococcus HOT/BATS\ dataset
([https://www.bco-dmo.org/dataset/3381](\\http://www.bco-
dmo.org/dataset/3381\\)).

These data are reported and described in:

Berube, P. M., Coe, A., Roggensack, S. E., & Chisholm, S. W. (2015). Temporal
dynamics of Prochlorococcuscells with the potential for nitrate assimilation
in the subtropical Atlantic and Pacific oceans. Limnology and Oceanography,
61(2), 482\u2013495. doi:10.1002/lno.10226

cdm_data_type = Other
VARIABLES:
gene (text)
site (text)
latitude (degrees_north)
longitude (degrees_east)
cruiseid (numeric)
year (unitless)
month (mm)
day (dd)
date (mm/dd/yy)
... (7 more variables)


[production vs. irradiance] - Production vs Irradiance data from RVIB Nathaniel B. Palmer cruise NBP0103 in the Southern Ocean in 2001 (SOGLOBEC project) (U.S. GLOBEC Southern Ocean)

Production vs Irradiance data from RVIB Nathaniel B. Palmer cruise NBP0103 in the Southern Ocean in 2001 (SOGLOBEC project)

cdm_data_type = Other
VARIABLES:
cruiseid
year
station_desc
station
grid_line
grid_sta
yrday_gmt (YYY.Y)
latitude (degrees_north)
longitude (degrees_east)
event
cast
bottle
depth (m)
diff_from_8C (Diff From 8 C, degrees C)
replicate
alpha ((mgC/chla/h)/(uE/m2/s))
beta ((mgC/chla/h)/(uE/m2/s))
Ik ((uE/m2/s))
Pmax ((mgC/chla/h))


[Productivity model CO2 diffusion] - Predictions of photosynthesis and carbon use for diffusive uptake under light, temperature and pCO2 using a productivity model, 2014-2015 (Seaweed OA Resilience project) (Ocean Acidification: Scope for Resilience to Ocean Acidification in Macroalgae)

This dataset represents calculations from a model of photosynthesis by diffusive uptake of only CO2 given expected abundance of carbonate chemistry parameters in ocean water of known temperature salinity and depth.

cdm_data_type = Other
VARIABLES:
Light (?)
pH (Sea Water Ph Reported On Total Scale, unitless)
Temp (Temperature, degrees Celsius)
pCO2 (P CO2, micro-atmospheres  (µatm))
HCO3 (micromoles/kilogram (µmol/kg))
CO3 (micromoles/kilogram (µmol/kg))
CO2 (micromoles/kilogram (µmol/kg))
DCO2 (CP2/meter^2/second (m-2 . s-1))
eb_a (unitless)
HCO3_CO3_frac (unitless)
d13C_CO2_SW (D13 C CO2 SW, parts per thousand (ppt))
alpha_org (unitless (a ratio of rate constants))
d13C (D13 C, parts per thousand (ppt))
D (parts per thousand (ppt))
K_half_sat (moles/meter^3 (mol . m-3))
PS (Surface Pressure Variation, micromoles C-fixed/meter^2/second)


[Profile data from WireWalker] - Profile data from WireWalker deployments at Mission Beach, California in 2016 at a 50m depth (Quantifying plankton dynamics in the internal tide using swarms of buoyancy-controlled robots)

Profile data from WireWalker deployments at Mission Beach, California in 2016 at a 50m depth.

cdm_data_type = Other
VARIABLES:
dnum (unitless)
date (unitless)
time2 (Time, unitless)
time (ISO Date Time UTC, seconds since 1970-01-01T00:00:00Z)
depth (m)
mask (unitless)
DO (percent (%))
B (counts)
chl (counts)
phyco (counts)
C (millisiemens per centimeter (mS/cm))
T (degrees Celsius)
P (decibars (dbar))
S (Practical Salinity Units (PSU))
rho (kilograms per meter cubed (kg/m3))
n2 (per seconds squared (s-2))
dPt (D PT, decibars per second (dbar/s))


[Profile data] - Float profile data collected during surface ascents in the Sargasso Sea from 2013-2014. (Rapid, Autonomous Particle Flux Observations in the Oligotrophic Ocean)

Optical proxy measurements of sinking particle flux and water-column bio-optical profiles were obtained from profiling floats in the Sargasso Sea to expand the number of particle flux observations in the critical and under-sampled \u201ctwilight zone\u201d. Particulate organic carbon flux derived from float-based optical sediment trap measurements was validated against fluxes measured directly with co-deployed, drifting neutrally-buoyant, sediment traps during a series of five short cruises before floats were deployed for approximately one year. The data returned by the floats comprise quantitative particle flux observations made at high-enough temporal resolution to interpret in the context of short-term, upper-ocean production events.

cdm_data_type = Other
VARIABLES:
deployment (unitless)
float_id (unitless)
prof_num (unitless)
latitude (degrees_north)
longitude (degrees_east)
date (unitless)
time2 (Time, unitless)
pres (Pressure, dbar)
temp (Temperature, Celsius)
sal (PSU)
optode_therm_v (volts)
optode_temp (Celsius)
oxy_phase (usec)
oxygen (umol/kg)
oxygen_cal (umol/kg)
chl (ug/L)
chl_corr (ug/L)
chl_cal (ug/L)
bbp700 (m -1)
bbp700_corr (m -1)
... (6 more variables)


[Profile pO2 Data] - SOS-Argo floats: ocean profile pO2 data acquired in different ocean basins between May 2012 and July 2023 (The Biological Pump in the Eastern Equatorial Pacific: in situ measurements of Oxygen and Nitrate)

This dataset contains data from Argo floats deployed by the Emerson group at the University of Washington between May 2012 and July 2023.

The name SOS-Argo stands for “Special Oxygen Sensor Argo” Floats.  These floats have standard Argo sensors for hydrostatic pressure, temperature, and salinity in addition to an Aanderaa oxygen sensor  (optode) installed on a 61 cm stalk above the end cap of the float.  The tall stalk allows the float to make atmospheric pO2 measurements uncontaminated by surface waters while the float is at the surface during data transfer to shore. The atmospheric pO2 data are used for in situ calibration of the O2 sensor against atmospheric pO2.

cdm_data_type = Other
VARIABLES:
Float (unitless)
Float_Profile (unitless)
Matlab_Time (unitless)
Excel_Time (unitless)
longitude (degrees_east)
Latitude (degrees_north)
Pressure (decibars)
Temperature (degrees Celsius (C))
Salinity (PSS-78)
O2_tphase (degrees)
O2_temp (degrees Celsius (C))
HumanReadable_Matlab (unitless)
O2_optode (atmospheres (atm))


[Profiling float location information] - Profiling float surface dates, times and locations from the Sargasso Sea from 2013 to 2014. (Rapid, Autonomous Particle Flux Observations in the Oligotrophic Ocean)

Optical proxy measurements of sinking particle flux and water-column bio-optical profiles were obtained from profiling floats in the Sargasso Sea to expand the number of particle flux observations in the critical and under-sampled \u201ctwilight zone\u201d.  A typical float cycle consisted of the descent to the target park depth, a park phase at the target depth which cycled among depths ranging 150-1000 m, a descent to 1000 m, an ascent to the surface during which measurements are made, and a surface telemetry phase, during which a GPS fix is obtained. Dates, times, and locations obtained during the surface telemetry phase are provided.

cdm_data_type = Other
VARIABLES:
deployment (unitless)
date (unitless)
time2 (Time, unitless)
latitude (degrees_north)
longitude (degrees_east)
time (ISO Date Time UTC, seconds since 1970-01-01T00:00:00Z)


[Projected changes in habitat suitability] - Projected changes in habitat suitability for 33 marine species on the Northeast US shelf based on species distribution models fit to bottom trawl survey data from the NOAA Northeast Fisheries Science Center (Adaptations of fish and fishing communities to rapid climate change)

Projected changes in habitat suitability for 33 marine species on the Northeast US shelf. Changes in habitat suitability are calculated based on species distribution models fit to bottom trawl survey data from the NOAA Northeast Fisheries Science Center. Positive values indicate an increase in habitat suitability by 2040-2050 relative to historical (1963-2005). The spatial resolution of projections is 0.25 x 0.25 degrees.

cdm_data_type = Other
VARIABLES:
brosme_brosme (unitless)
centropristis_striata (unitless)
gadus_morhua (unitless)
glyptocephalus_cynoglossus (unitless)
hippoglossoides_platessoides (unitless)
hippoglossus_hippoglossus (unitless)
leucoraja_ocellata (unitless)
limanda_ferruginea (unitless)
lophius_americanus (unitless)
zoarces_americanus (unitless)
melanogrammus_aeglefinus (unitless)
merluccius_albidus (unitless)
merluccius_bilinearis (unitless)
paralichthys_dentatus (unitless)
peprilus_triacanthus (unitless)
pollachius_virens (unitless)
pseudopleuronectes_americanus (unitless)
scomber_scombrus (unitless)
scophthalmus_aquosus (unitless)
sebastes_fasciatus (unitless)
squalus_acanthias (unitless)
stenotomus_chrysops (unitless)
urophycis_chuss (unitless)
... (12 more variables)


[Projected species probability of occupancy and abundance under ocean warming] - Predicted probability of occupancy and abundance under a doubling of carbon dioxide using simulations from GFDL CM2.6 (Adaptations of fish and fishing communities to rapid climate change)

Predicted probability of occupancy and abundance under a doubling of carbon dioxide using simulations from GFDL CM2.6. These data were published in Selden (2018).

cdm_data_type = Other
VARIABLES:
spp (unitless)
longitude (degrees_east)
latitude (degrees_north)
scen (unitless)
btemp (degrees Celsius)
stemp (degrees Celsius)
preds1 (dimensionless)
preds (kilograms (kg))
se_fit (kilograms (kg))
preds1_upr (dimensionless)
preds1_lwr (dimensionless)


[Prokaryotic metatranscriptomics of corals experimentally exposed to low oxygen] - Sequence accession numbers for metatranscriptomic sequences from coral microbiomes experimentally exposed to low oxygen in 2022 (Collaborative Research: Biodiversity and resilience of corals and their microbiomes in response to ocean deoxygenation)

This dataset includes accession numbers and related information for prokaryotic metatranscriptomic (RNAseq) libraries of Agaricia tenuifolia and Siderastrea siderea coral species experimentally exposed to low oxygen conditions.  Sequence data are available in The National Center for Biotechnology Information (NCBI) Sequence Read Archive (SRA) under BioProject accessions PRJNA1098207 and PRJNA1041355.

cdm_data_type = Other
VARIABLES:
BioProject (unitless)
BioSample (unitless)
sample (unitless)
SRA_Experiment (unitless)
SRA_Run (unitless)
SRA_Study (unitless)
date (unitless)
sample_descrip (unitless)
host (unitless)
site (unitless)
latitude (degrees_north)
longitude (degrees_east)


[Protein kinase A (PKA) substrate phosphorylation assays] - Results from protein kinase A (PKA) substrate phosphorylation assays conducted to investigate the role of soluble adenylyl cyclase (sAC) in sperm from the gonochoric, broadcast spawning coral Astrangia poculata (Influence of environmental pH variability and thermal sensitivity on the resilience of reef-building corals to acidification stress)

Most stony corals liberate their gametes into the water column via broadcast spawning, where fertilization hinges upon the activation of directional sperm motility. Sperm from gonochoric and hermaphroditic corals display distinct morphological and molecular phenotypes, yet it is unknown whether the signallng pathways controlling sperm motility are also distinct between these sexual systems. We addressed this knowledge gap using the gonochoric, broadcast spawning coral Astrangia poculata. This dataset is from protein kinase A (PKA) substrate (sub) phosphorylation assays used to investigate the role of PKA in sperm. Data are associated with Glass et al. (2023) Proceedings of the Royal Society B (10.1098/rspb.2023.0085). These data are also published in Dryad under DOI 10.5061/dryad.rn8pk0pg8.

cdm_data_type = Other
VARIABLES:
Colony (unitless)
time_elapsed (Time, seconds)
Treatment (unitless)
Stim (unitless)
Load (micrograms (ug))
Intensity (unitless)
Invert (unitless)
Fold_increase (unitless)


[Proteinaceous material content] - Protein assay of proteinaceous material in pelagic sediment from the North Atlantic gyre, South Pacific gyre, and Peru Basin from cruises KN223, KNOX02RR, and ODP leg 201 between 2002 and 2013 (Geochemical controls on organic carbon quantity and quality in the deep subsurface)

Protein assay of proteinaceous material in pelagic sediment from the North Atlantic gyre, South Pacific gyre, and Peru Basin from cruises KN223 (R/V Knorr), KNOX02RR (R/V Roger Revelle), and ODP leg 201 between 2002 and 2013.  Sediment samples were taken with gravity corers, multi corers, piston and advanced piston corers (APC).

cdm_data_type = Other
VARIABLES:
location (unitless)
expedition (unitless)
site (unitless)
date (unitless)
latitude (degrees_north)
longitude (degrees_east)
depth (Water Depth, m)
core_type (unitless)
depth_ (Depth, meters (m))
protein (micrograms of protein per milligram of sediment (μg protein/mg sediment))
prot_stdev (micrograms of protein per milligram of sediment (μg protein/mg sediment))


[ProteOMZ Peptide Level Spectral Counts] - Total spectral counts of peptides from the R/V Falkor cruise 160115 in the Central Pacific for the ProteOMZ expedition in 2016 (The ProteOMZ Expedition: Investigating Life Without Oxygen in the Pacific Ocean)

Relative protein abundance data of the upper 1000m water column from the ProteOMZ R/V Falkor expedition. There are 109952 unique peptides, each with spectral counts associated with each of the 103 samples, for 10 million data points.

cdm_data_type = Other
VARIABLES:
sample_id (unitless)
MS_MS_sample_name (unitless)
protein_id (unitless)
protein_molecular_weight_kDa (kDa)
best_protein_id_probability (unitless)
peptide_sequence (unitless)
peptide_start_index (unitless)
peptide_stop_index (unitless)
plus2H_spectra_count (count)
plus3H_spectra_count (count)
plus4H_spectra_count (count)
best_sequest_DCn_score (unitless)
best_sequest_Xcorr_score (unitless)
median_retention_time (minutes)
total_precursor_intensity (unitless)
TIC (unitless)
spectral_count_sum (count)
other_protein_ids (unitless)
station_id (unitless)
depth (Depth_m, m)
latitude (Latitude_dd, degrees_north)
longitude (Longitude_dd, degrees_east)
date_ymd (unitless)
time_hms (unitless)
minimum_filter_size_microns (microns)
maximum_filter_size_microns (microns)
cruise_id (unitless)
time (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)


[ProteOMZ Protein Level Spectral Counts] - Total spectral count of proteins from R/V Falkor cruise 160115 for the ProteOMZ expedition in the Central Pacific in 2016 (The ProteOMZ Expedition: Investigating Life Without Oxygen in the Pacific Ocean)

Relative protein abundance data of the upper 1000m water column from the ProteOMZ R/V Falkor expedition. There are 56,577 protein identifications over 102 samples, for ~6 million data points.

cdm_data_type = Other
VARIABLES:
sample_id (untiless)
MS_MS_sample_name (untiless)
station_id (unitless)
depth (Depth_m, m)
latitude (Latitude_dd, degrees_north)
longitude (Longitude_dd, degrees_east)
date_ymd (unitless)
time_hms (unitless)
minimum_filter_size_microns (microns)
maximum_filter_size_microns (microns)
cruise_id (unitless)
protein_id (unitless)
spectral_count_sum (count)
molecular_weight_kDa (kDa)
protein_name (unitless)
ncbi_id (taxon)
ncbi_name (verbatimIdentifiation)
kegg_id (unitless)
kegg_description (unitless)
kegg_pathway (unitless)
pfams_id (unitless)
pfams_name (unitless)
uniprot_id (unitless)
enzyme_comm_id (unitless)
time (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)


[protist abundance and biomass] - Abundance and biomass of protists from epifluorescence counts and bulk biomass from extracted chl-a from samples from R/V Atlantic Explorer cruises AE1102, AE1118, AE1206, AE1219 in the Sargasso Sea, Bermuda Atlantic Time-Series Station in 2011-12 (Plankton Community Composition and Trophic Interactions as Modifiers of Carbon Export in the Sargasso Sea 	)

Abundance and biomass of protists from epifluorescence counts and bulk biomass from extracted chl-a from samples from R/V Atlantic Explorer cruises AE1102, AE1118, AE1206, AE1219 in the Sargasso Sea, Bermuda Atlantic Time-Series Station in 2011-12.

cdm_data_type = Other
VARIABLES:
cruise_id (dimensionless)
cast (dimensionless)
station (dimensionless)
location_description (dimensionless)
latitude (degrees_north)
longitude (degrees_east)
depth (m)
taxon (dimensionless)
total_biomass_per_taxon (picograms C per milliliter)
experiment_num (dimensionless)
date (unitless)
season_year (text)
length (micrometers)
width (micrometers)
shape (dimensionless)
abundance (cells per milliliter)
abund_lower_95pcnt_CI (cells per milliliter)
abund_upper_95pcnt_CI (cells per milliliter)
cells_counted (dimensionless)
biovolume (cubic micrometers per milliliter)
dino_biomass (picograms C per cell)
diatoms_biomass (picograms C per cell)
protists_biomass (picograms C per cell)


[Protist Carbon - IO] - Protist carbon from microscopy samples collected in the Argo Basin of the Eastern Indian Ocean on R/V Roger Revelle cruise RR2202 from Feb to Mar 2022 (Collaborative Research: Mesoscale variability in nitrogen sources and food-web dynamics supporting larval southern bluefin tuna in the eastern Indian Ocean)

This dataset is from CTD-based water collections of samples for phytoplankton in the Argo Basin in the Eastern Indian Ocean aboard the R/V Roger Revelle cruise in Feb-March 2022 led by Dr. Michael Landry to investigate the plankton community composition and impacts on growth and survival of larval Southern Bluefin Tuna (SBT). These samples were stained and fixed for epifluorescence microscopy analysis. The microscopy results include the abundance and carbon-based biomass estimates of nano (2 to 20 µm size) and microplankton (>20 µm) sized autotrophs and heterotrophs.

cdm_data_type = Other
VARIABLES:
Cruise (unitless)
Station_Event (unitless)
time (Datetimeutc, seconds since 1970-01-01T00:00:00Z)
Date (unitless)
latitude (degrees_north)
longitude (degrees_east)
Cycle (unitless)
Day_Cycle (unitless)
CTD_Cast (unitless)
depth (m)
Autotrophic_nanoplankton_abundance (cells/mL)
Autotrophic_nanoplankton_biomass (µg C L-1 (micrograms of carbon per liter))
Heterotrophic_nanoplankton_abundance (cells/mL)
Heterotrophic_nanoplankton_biomass (µg C L-1 (micrograms of carbon per liter))
Autotrophic_microplankton_abundance (cells/mL)
Autotrophic_microplankton_biomass (µg C L-1 (micrograms of carbon per liter))
Heterotrophic_microplankton_abundance (cells/mL)
Heterotrophic_microplankton_biomass (µg C L-1 (micrograms of carbon per liter))


[PRS bacteria identification] - Culture-independent identification of bacteria present in the pressure-retaining seawater (PRS) sampler deployed during Leggo drop 1 from R/V Falkor cruise FK141215 in the Challenger Deep, Mariana Trench in December 2014 (Patterns of Microbial Community Structure Within and Between Hadal Environments)

Culture-independent identification of bacteria present in the pressure-retaining seawater (PRS) sampler deployed during Leggo drop 1.

cdm_data_type = Other
VARIABLES:
SILVA_classification (unitless)
partial_16S_seq (Partial 16 S Seq, unitless)


[Pseudo-nitzschia spp. presence-absence and environmental data] - Pseudo-nitzschia spp. presence-absence and environmental data in Narragansett Bay in Rhode Island, USA and the Northeast U.S. Shelf (NES-LTER transect) from 2018-2023 (Northeast U.S. Shelf Long Term Ecological Research site)

This dataset includes environmental measurements and presence-absence of Pseudo-nitzschia species, a harmful algal bloom diatom genus, associated with samples from various sites in Narragansett Bay, Rhode Island, including the Narragansett Bay Long Term Plankton Time Series site, and several stations along the Northeast U.S. Shelf Long Term Ecological Research program transect. These data correspond to an analysis of Pseudo-nitzschia species composition and domoic acid toxin production during winters and summers from 2018-2023 in Narragansett Bay and the Northeast U.S. Shelf, which was prepared for submission to Harmful Algae (Roche, et al.). This dataset includes sites information, particulate domoic acid concentration, Pseudo-nitzschia cell counts, temperature, salinity, nutrient concentrations, presence-absence of Pseudo-nitzschia species, and NCBI BioSample accessions.

cdm_data_type = Other
VARIABLES:
library_ID (unitless)
Sample_Date (unitless)
Site (unitless)
Site_Abbreviation (unitless)
latitude (degrees_north)
longitude (degrees_east)
Depth_category (unitless)
depth (m)
Season (unitless)
LTER_cruise (unitless)
CTD_cast (unitless)
Niskin (unitless)
pDA (nanograms/liter (ng/L))
Pseudonitzschia (cells/liter)
Temp (Degrees Celsius (°C))
Salinity (Practical Salinity Units (PSU))
Phosphate (microMolar)
Silicate (microMolar)
... (28 more variables)


[pteropod respiration] - Pteropod respiration rates from NW Atlantic and NE Pacific; OC473 (2011) and NH1208 (2012) (Horizontal and Vertical Distribution of Thecosome Pteropods in Relation to Carbonate Chemistry in the Northwest Atlantic and Northeast Pacific )

Respiration rates of thecosome pteropod exposed to various O2 and CO2 concentrations

cdm_data_type = Other
VARIABLES:
cruise_id
species (text)
treatment (text)
temp (Temperature, Celsius)
date_local (unitless)
station (unitless)
latitude (degrees_north)
longitude (degrees_east)
tow (text)
weight_g (grams)
sample_volume (liters)
time_elapsed (hours)
O2_control (micromoles O2)
O2_expt (micromoles O2)
O2_respiration (micromoles O2/liter)
resp_rate (micromoles O2/gram hour)
comments_expt (text)


[pteropod shell dissolution] - Pteropod shell dissolution in natural and high-CO2 environments from samples collected on RRS James Clark Ross cruise JR177 in the Scotia Sea, Southern Ocean from 2007-2008 (An Investigation of the Role of Nutrition in the Coral Calcification Response to Ocean Acidification)

This dataset contains data from a study of pteropod shell dissolution on individuals exposed to CO2-enriched seawater. The data include the amount of dissolution as well as the physical and chemical parameters on which carbonate chemistry parameters were calculated.

cdm_data_type = Other
VARIABLES:
treatment (dimensionless)
incubation_time (days)
N (dimensionless)
species (dimensionless)
sal (dimensionless)
temp (Temperature, degrees Celsius)
phosphate (Mass Concentration Of Phosphate In Sea Water, micromoles per kilogram (umol/kg))
silicate (Mass Concentration Of Silicate In Sea Water, micromoles per kilogram (umol/kg))
alk_tot (micromoles per kilogram (umol/kg))
alk_tot_stdev (micromoles per kilogram (umol/kg))
DIC (micromoles per kilogram (umol/kg))
DIC_stdev (micromoles per kilogram (umol/kg))
pH (Sea Water Ph Reported On Total Scale, dimensionless)
pH_stdev (P H Stdev, dimensionless)
pCO2 (P CO2, microatmospheres (uatm))
pCO2_stdev (P CO2 Stdev, microatmospheres (uatm))
bicarbonate (micromoles per kilogram (umol/kg))
bicarbonate_stdev (micromoles per kilogram (umol/kg))
carbonate (micromoles per kilogram (umol/kg))
carbonate_stdev (micromoles per kilogram (umol/kg))
omega_Arg (dimensionless)
omega_Arg_stdev (dimensionless)
non_diss (percentage (%))
non_diss_stdev (percentage (%))
diss_rate1 (percentage (%))
... (5 more variables)


[PTR ToF-MS peak tables: Phaeodactylum tricornutum and cocultures] - Mass-to-charge ratio +1 values in microbial cultures (Phaeodactylum tricornutum and cocultures) detected by proton transfer reaction time-of-flight mass spectrometer in 2021 and 2022 (Interactions between phytoplankton and bacterioplankton mediated by volatile organic compounds)

Mass-to-charge ratio (m/z) +1 values in microbial cultures (Phaeodactylum tricornutum and cocultures) were detected by proton transfer reaction time-of-flight mass spectrometer following methods in Moore et al. (2020). doi:10.1111/1462-2920.14861

cdm_data_type = Other
VARIABLES:
Sample_Name (unitless)
Sample_Name_internal (unitless)
Sample_Replicate (unitless)
Sample_Tech (unitless)
Time_seconds (seconds (s))
mz_value (unitless)
mz_signal (parts per billion by volume (ppbv))


[PTR ToF-MS peak tables: Synechococcus WH8102] - Mass-to-charge ratio +1 values in microbial cultures (Synechococcus WH8102) detected by proton transfer reaction time-of-flight mass spectrometer in 2021 and 2022 (Interactions between phytoplankton and bacterioplankton mediated by volatile organic compounds)

Mass-to-charge ratio (m/z) +1 values in microbial cultures (Synechococcus WH8102) were detected by proton transfer reaction time-of-flight mass spectrometer following methods in Moore et al. (2020). doi:10.1111/1462-2920.14861

cdm_data_type = Other
VARIABLES:
Sample_Name (unitless)
Sample_Name_internal (unitless)
Sample_Replicate (unitless)
Sample_Tech (unitless)
Time_seconds (seconds (s))
mz_value (unitless)
mz_signal (parts per billion by volume (ppbv))


[PUA chlorophyll a] - PUA (polyunsaturated aldehydes) experiments: Chlorophyll-a concentrations, Virginia Coastal Bays and Bay of Napoli, Mar-July 2015 (The effects of diatom-produced polyunsaturated aldehydes on the microbial food web in temperate and polar waters)

PUA (polyunsaturated aldehydes) experiments: Chlorophyll-a concentrations, Virginia Coastal Bays and Bay of Napoli, Mar-July 2015.

cdm_data_type = Other
VARIABLES:
Experiment (unitless)
Treatment (unitless)
Rep (unitless)
Chl (micrograms/liter)


[PUA experimental design] - PUA (polyunsaturated aldehydes) experiments: Experimental Conditions, Virginia Coastal Bays and Bay of Napoli, Mar-July 2015 (The effects of diatom-produced polyunsaturated aldehydes on the microbial food web in temperate and polar waters)

PUA (polyunsaturated aldehydes) experiments: Experimental Conditions, Virginia Coastal Bays and Bay of Napoli, Mar-July 2015

cdm_data_type = Other
VARIABLES:
Experiment (unitless)
Location (unitless)
longitude (degrees_east)
latitude (degrees_north)
Date (unitless)
Temperature (degrees Celsius)
Salinity (Sea Water Practical Salinity, PSU)
Light_Dark_Cycle (unitless)
Medium (unitless)
Copepod_spp (unitless)
Number_Copepods (copepods)
Bacteria (cells per ml)
Chl_a (micrograms/liter)
Dinoflag (micrograms Carbon/liter)
Ciliate (micrograms Carbon/liter)
HepD (Hep D, nanoMolar)
HepP (Hep P, nanoMolar)
OctD (Oct D, nanoMolar)
OctP (Oct P, nanoMolar)
DecD (Dec D, nanoMolar)
DecP (Dec P, nanoMolar)
Tot (nanoMolar)


[PUA Microzooplankton Biomass] - Microzooplankton biomass estimates from PUA (polyunsaturated aldehydes) experiments, Virginia Coastal Bays and Bay of Napoli, Mar-July 2015 (The effects of diatom-produced polyunsaturated aldehydes on the microbial food web in temperate and polar waters)

Microzooplankton biomass estimates from PUA (polyunsaturated aldehydes) experiments, Virginia Coastal Bays and Bay of Napoli, Mar-July 2015.

cdm_data_type = Other
VARIABLES:
Experiment (unitless)
Bottle_ID (unitless)
Treatment (unitless)
Rep (unitless)
Taxa (unitless)
Phylum (unitless)
ESD (micrometers)
Biomass (micrograms carbon/liter)


[PULSE chlorophyll data] - Chlorophyll data collected in the Gulf of Maine on F/V Lady Regena (NEC-JR2001-1) from 2003-2005 (NEC-CoopRes project) (Northeast Consortium: Cooperative Research)

Chlorophyll data collected in the Gulf of Maine on F/V Lady Regena (NEC-JR2001-1) from 2003-2005 (NEC-CoopRes project)

cdm_data_type = Other
VARIABLES:
year
yrday_local
time (Date Local, seconds since 1970-01-01T00:00:00Z)
station
latitude (degrees_north)
longitude (degrees_east)
depth (m)
replicate
chla_GF (Concentration Of Chlorophyll In Sea Water)
chla_8um (Concentration Of Chlorophyll In Sea Water)
phaeo_GF
phaeo_8um


[PULSE nutrients] - Nutrients: Cooperative Long-term Ecosystem Monitoring in the Gulf of Maine (PULSE) collected from the F/V Lady Regena NEC-JR2001-1 from the Gulf of Maine (NEC-CoopRes project) (Northeast Consortium: Cooperative Research)

Nutrients: Cooperative Long-term Ecosystem Monitoring in the Gulf of Maine (PULSE) collected from the F/V Lady Regena NEC-JR2001-1 from the Gulf of Maine (NEC-CoopRes project)

cdm_data_type = Other
VARIABLES:
year
yrday_local
month_local
day_local
date_local
station
latitude (degrees_north)
longitude (degrees_east)
depth (m)
NO3 (microMoles)
NH4 (microMoles)
PO4 (microMoles)


[PULSE zooplankton abundance] - Zooplankton species abundance: Cooperative Long-Term Ecological Monitoring Project (PULSE), Gulf of Maine from the F/V Lady Regena NEC-JR2001-1 from the Gulf of Maine, 1999-2004 (NEC-CoopRes project) (Northeast Consortium: Cooperative Research)

Zooplankton species abundance: Cooperative Long-Term Ecological Monitoring Project (PULSE), Gulf of Maine from the F/V Lady Regena NEC-JR2001-1 from the Gulf of Maine, 1999-2004 (NEC-CoopRes project).

cdm_data_type = Other
VARIABLES:
year
yrday_local (ddd.d)
month_local
day_local
time (Date Local, seconds since 1970-01-01T00:00:00Z)
station
latitude (degrees_north)
longitude (degrees_east)
cast
depth (m)
volfilt (cubic meters)
species
abundance


[PULSE zooplankton dry weight] - Zooplankton dry weights: Cooperative Long-term Ecological Monitoring Project (PULSE), Gulf of Maine collected from the F/V Lady Regena NEC-JR2001-1 from the Gulf of Maine, 1999-2004 (NEC-CoopRes project) (Northeast Consortium: Cooperative Research)

Zooplankton dry weights: Cooperative Long-term Ecological Monitoring Project (PULSE), Gulf of Maine collected from the F/V Lady Regena NEC-JR2001-1 from the Gulf of Maine, 1999-2004 (NEC-CoopRes project)

cdm_data_type = Other
VARIABLES:
year
cruise_id
month_local
day_local
yrday_local
time (Date Local, seconds since 1970-01-01T00:00:00Z)
station
latitude (degrees_north)
longitude (degrees_east)
cast
depth (m)
vol_filt (cubic meters)
dry_wgt (g/m^3)
dry_wgt_integ (grams/m2)


[Pump CTD Profiles] - Pump CTD profiles from the EMB276 cruise on R/V Elisabeth Mann Borgese in the Baltic Sea from September 20-27, 2021 (Collaborative Research: Manganese Cycling and Coupling Across Redox Boundaries within Stratified Basins of the Baltic Sea)

Pump CTD profiles  include data on time, latitude, longitude, depth, h2s, o2, sulfide, pH, po4, NO3, NO2, NH4, SiO2, fluorescence, turbidity, density, temperature, and salinity from six stations in the Baltic Sea collected between September 20 - 27, 2021. Data was collected from the R/V Elisabeth Mann Borgese.

cdm_data_type = Other
VARIABLES:
cruise_name (unitless)
station_number (unitless)
station_name (unitless)
date (unitless)
time_UTC (unitless)
time (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)
latitude (Latitude_n, degrees_north)
longitude (Longitude_e, degrees_east)
max_depth_m (meters (m))
depth (m)
H2S_uM (micromolar (µM))
O2_uM (micromolar (µM))
total_sulfide_umol_l (micromole per liter (µmol/L))
pH (unitless)
PO4_umol_l (micromole per liter (µmol/L))
NO3 (micromole per liter (µmol/L))
NO2_umol_l (micromole per liter (µmol/L))
NH4_umol_l (micromole per liter (µmol/L))
SiO2_umol_l (micromole per liter (µmol/L))
Fluor_mg_m3 (mg/m^3)
Turb_NTU (NTU)
Density_Sig_tet (unitless)
Temp_C (degrees Celsius (°C))
Salinity_PSU_ (PSU)


[Pump mesozooplankton samples] - Mesozooplankton sample data from R/V Pelican cruises PE03-NGOMEX, PE04-NGOMEX, PE06-NGOMEX, PE07-NGOMEX, PE09-05 in the Northern Gulf of Mexico from 2003-2008 (NGOMEX - Living Marine Resources of the Northern Gulf of Mexico)

CTD casts using a high-capacity, diaphragm pump were conducted during the R/V Pelican cruises PE03-NGOMEX, PE04-NGOMEX, PE06-NGOMEX, PE07-NGOMEX, and PE09-05 in the Northern Gulf of Mexico between 2003 and 2008. Plankton samples were collected from discrete depths during the CTD casts. Subsamples of sample contents were manually counted, identified, and measured in the laboratory.

cdm_data_type = Other
VARIABLES:
ctd (unitless)
longitude (degrees_east)
latitude (degrees_north)
time (ISO Date Time UTC, seconds since 1970-01-01T00:00:00Z)
d_min (minutes)
depth (m)
bottom (decibars (dbar))
s_per_50l (seconds (s))
mesh (micrometers (µm))
splits (unitless)
beaker (milliliters (ml))
aliquot (milliliters (ml))
replicate (unitless)
vol (cubic meters (m^3))
ID (unitless)
length (millimeters (mm))
width (millimeters (mm))
adj_count (unitless)
flag (unitless)


[Pump Profiler Casts - HRS1415] - Data from in situ pump profiler system collected on R/V Hugh R. Sharp cruise HRS1415 in August 2014 (The role of soluble Mn(III) in the biogeochemical coupling of the Mn, Fe and sulfur cycles)

Data from in situ pump profiler system collected on R/V Hugh R. Sharp cruise HRS1415 in August 2014

cdm_data_type = Other
VARIABLES:
Cast (unitless)
latitude (degrees_north)
longitude (degrees_east)
date (unitless)
time_local (unitless)
time_GMT (unitless)
time (ISO Date Time UTC, seconds since 1970-01-01T00:00:00Z)
depth (m)
temp (Temperature, degrees Celsius)
salinity (Sea Water Practical Salinity, unitless)
O2 (micromolar (uM))
O2_stdev (micromolar (uM))
H2Splus_HSminus (H2 Splus HSminus, micromolar (uM))
H2Splus_HSminus_stdev (H2 Splus HSminus Stdev, micromolar (uM))
Particulate_MnOx_eqvln (Particulate Mn Ox Eqvln, nanomolar (nM))
Particulate_MnOx_eqvln_stdev (Particulate Mn Ox Eqvln Stdev, nanomolar (nM))
Dissolved_MnT (Dissolved Mn T, nanomolar (nM))
Dissolved_MnT_stdev (Dissolved Mn T Stdev, nanomolar (nM))
Dissolved_Mn2plus (nanomolar (nM))
Dissolved_Mn2plus_stdev (nanomolar (nM))
Dissolved_Mn3plus (nanomolar (nM))
pcnt_Mn3 (uM or %?)
Filtered_Fe2plus (micromolar (uM))
Filtered_Fe2plus_stdev (micromolar (uM))
Unfiltered_Fe2plus (micromolar (uM))
Unfiltered_Fe2plus_stdev (micromolar (uM))
Filtered_Fe3plus (micromolar (uM))
... (5 more variables)


[PUPCYCLE 2019 incubation experiments] - Incubation experiments to assess the physiological and molecular response of subsurface phytoplankton communities to a simulation of the Upwelling Conveyor Belt Cycle (UCBC) conducted in summer 2019 onboard the R/V Oceanus (OC1905b) (CAREER: An integrated molecular and physiological approach to examining the dynamics of upwelled phytoplankton in current and changing oceans)

The primary objective of this study was to assess the physiological and molecular response of subsurface phytoplankton communities to a simulation of the Upwelling Conveyor Belt Cycle (UCBC). To capture this phenomenon, we performed on-deck incubation experiments that spanned different time points representing the different stages of growth (initial deep-water community at T0, and stimulated growth phases at T1 and T2). We further subjected the incubations to various Fe-related treatments to test how Fe might play a role in determining their physiological and molecular response to upwelling.

The first incubation was conducted from 27 May to 01 June 2019 in a wide continental shelf, and the second incubation was conducted from 02 June to 06 June 2019 in a narrow continental shelf. For each time point, the incubation was harvested and analyzed for chlorophyll, nutrients, particulate organic carbon and nitrogen, and dissolved and particulate Fe and Sc concentrations. 6-hour incubations using trace concentrations of stable isotopes of 13C and 15N were also conducted to assess uptake kinetics of dissolved inorganic carbon (DIC) and nitrate (NO3) in bulk-size fractionated phytoplankton communities. PUPCYCLE I (Phytoplankton response to the UPwelling CYCLE) took place in summer 2019 onboard the R/V Oceanus (OC1905b), led by Chief Scientist Adrian Marchetti.

cdm_data_type = Other
VARIABLES:
Experiment (unitless)
Time_Point (unitless)
Hours (hours)
Treatment (unitless)
Replicate (unitless)
Sample_Name (unitless)
Date (unitless)
latitude (degrees_north)
longitude (degrees_east)
NO3 (micromolar (uM))
PO4 (micromolar (uM))
... (46 more variables)


[PUPCYCLE 2019 upwelling transects] - Data from samples collected at four sites experiencing upwelling off the coast of Northern California in May and June of 2019 (CAREER: An integrated molecular and physiological approach to examining the dynamics of upwelled phytoplankton in current and changing oceans)

The primary objective of this study aims to examine and compare the dynamics of phytoplankton blooms at different stages of upwelling. We combined environmental and physiological observations to put together a narrative of phytoplankton community succession. In doing so, we postulate that the four stations sampled represent a mosaic of different stages of relatively early upwelling cycles such that they can be classified as either the initial onset of upwelling (early stage, denoted by E1) in which the subsurface community only recently transitioned to the surface, or the relatively later phases (later stage, denoted by L2, L3, and L4) where the community has just started to build up biomass and is undergoing the "shift-up" response.

Four sites experiencing upwelling were sampled off the coast of Northern California on May 30, 2019 (E1 and L2) and June 05, 2019 (L3 and L4). Seawater was collected using a CTD-Rosette sampler, at four depths throughout the euphotic zone at each station corresponding to 50%, 30%, 10%, and 1% incident irradiance. Samples for temperature, salinity, PAR, chlorophyll a, dissolved inorganic nutrients, dissolved metal micronutrients, and physiology were obtained. PUPCYCLE I (Phytoplankton response to the UPwelling CYCLE) took place in summer 2019 onboard the R/V Oceanus (OC 1905b), led by Chief Scientist Adrian Marchetti.

cdm_data_type = Other
VARIABLES:
Station (unitless)
Replicate (unitless)
depth (Depth_m, m)
Sample_Name (unitless)
Date (unitless)
latitude (degrees_north)
longitude (degrees_east)
Salinity (PSU)
Temperature (degrees Celsius)
PAR (watts per square meter (W/m^2))
NO3 (micromolar (uM))
PO4 (micromolar (uM))
... (38 more variables)


[Pushcore macrofaunal community from Southern California seeps (July 2023)] - Pushcore macrofaunal community from samples collected at methane seeps off Southern California with the HOV Alvin from July 16-27, 2023 during R/V Atlantis cruise AT50-12 (Collaborative Research: Redefining the footprint of deep ocean methane seepage for benthic ecosystems)

Pushcore and rocks were collected at methane seeps off Southern California with the HOV Alvin from July 16-27, 2023 during R/V Atlantis cruise AT50-12 for macrofaunal analyses. This dataset provides macrofaunal community composition of pushcore samples.

cdm_data_type = Other
VARIABLES:
Date (unitless)
Alvin_Dive (unitless)
Site (unitless)
latitude (degrees_north)
longitude (degrees_east)
depth (m)
Sample (unitless)
Habitat (unitless)
Section (centimeters)
Organism (unitless)
Count (unitless)


[PXM1 - DOC data] - Dissolved organic carbon data from laboratory cultures of Crocosphaera watsonii, Micromonas commoda, Prochlorococcus marinus , Synechococcus, Gephyrocapsa huxleyi, and Thalassiosira pseudonana collected from September to December 2022 (Phytoplankton Exometabolites)

Dissolved organic carbon (DOC) data from laboratory cultures of Gephyrocapsa huxleyi CCMP371, Crocosphaera watsonii WH8501, Micromonas commoda RCC299, Prochlorococcus marinus MIT9301, Synechococcus WH8102, and Thalassiosira pseudonana CCMP1335 were collected. Cultures were harvested during the exponential growth phase. Cell count data (available at BCO-DMO project 984095) were used to determine growth rates. DOC data were used in support of exometabolite concentration data (available at BCO-DMO project 984095) harvested from these cultures.

cdm_data_type = Other
VARIABLES:
Sample (unitless)
strain (unitless)
NPOC (micromoles per liter (µmol/L))


[PXM1 - Exometabolite concentration data] - Phytoplankton exometabolite concentrations from laboratory cultures of Crocosphaera watsonii, Micromonas commoda, Prochlorococcus marinus, Synechococcus, Gephyrocapsa huxleyi, and Thalassiosira pseudonana collected from September to December 2022 (Phytoplankton Exometabolites)

Blank-corrected concentration data of 56 exometabolites were characterized in laboratory cultures of Gephyrocapsa huxleyi CCMP371, Crocosphaera watsonii WH8501, Micromonas commoda RCC299, Prochlorococcus marinus MIT9301, Synechococcus WH8102, and Thalassiosira pseudonana CCMP1335. Cultures were harvested during the exponential growth phase. Cell count data (available at BCO-DMO project 984095) were used to calculate cell-specific concentrations. Blank-corrected dissolved organic carbon (DOC) concentrations (available at BCO-DMO project 984095) were used to calculate each exometabolite's fraction contribution to phytoplankton-excreted DOC. Raw mass spectrometry files have been deposited to the MetaboLights repository (dataset MTBLS12895).

cdm_data_type = Other
VARIABLES:
species (unitless)
strain (unitless)
metabolites (unitless)
presence (unitless)
metabolite_concentration (nanomoles per liter (nmol/L))
carbon_concentration (nanomoles carbon per liter (nmol C/L))
cell_specific_concentration (attomoles per cell (amol/cell))
carbon_fraction (unitless)


[PXMI - Phytoplankton cell count data] - Phytoplankton cell count data from laboratory cultures of Crocosphaera watsonii, Micromonas commoda, Prochlorococcus marinus, Synechococcus, Gephyrocapsa huxleyi, and Thalassiosira pseudonana collected from September to December 2022 (Phytoplankton Exometabolites)

Phytoplankton cell count data from laboratory cultures of Crocosphaera watsonii WH8501, Micromonas commoda RCC299, Prochlorococcus MIT9301, Synechococcus WH8102, Gephyrocapsa huxleyi CCMP371, and Thalassiosira pseudonana CCMP1335. Cultures were harvested during the exponential growth phase. Cell count data were used to determine growth rates, and data are used in support of exometabolite data harvested from these cultures (available at BCO-DMO project 984095). Cell count data were collected by Hanna Anderson and Eli Salcedo.

cdm_data_type = Other
VARIABLES:
species (unitless)
strain (unitless)
day (unitless)
replicate (unitless)
RFUs (unitlesss)
cells_per_mL (cells per milliliter)


[Pyrolysis-GC/MS grouped compound information] - Photodegradation of macroplastics in the marine environment: Pyrolysis-GC/MS grouped compound information (EAGER: Collaborative Research: NSF2026:  Is Plastic Degradation Occurring in the Deep Ocean Water Column?)

The photodegradation of macroplastics in the marine environment remains poorly understood. Here, we investigated the weathering of commercially available plastics (tabs 1.3 × 4.4 × 0.16 cm), including high-density polyethylene, low-density polyethylene, polypropylene, polystyrene, and polycarbonate, in seawater under laboratory-simulated ultraviolet A radiation for 3–9 months, equivalent to 25–75 years of natural sunlight exposure without considering other confounding factors. After the exposure, the physical integrity and thermal stability of the tabs remained relatively intact, suggesting that the bulk polymer chains were not severely altered despite strong irradiation, likely due to their low specific surface area. In contrast, the surface layer (∼1 μm) of the tabs was highly oxidized and eroded after 9 months of accelerated weathering. Several antioxidant additives were identified in the plastics through low temperature pyrolysis coupled with gas chromatography/mass spectrometry (Pyr-GC/MS) analysis. The Pyr-GC/MS results also revealed many new oxygen-containing compounds formed during photodegradation, and these compounds indicated the dominance of chain scission reactions during weathering. These findings highlight the strong resistance of industrial macroplastics to weathering, emphasizing the need for a broader range of plastics with varying properties and sizes to accurately estimate plastic degradation in the marine environment.

cdm_data_type = Other
VARIABLES:
Polymer_name (unitless)
Polymer_acronym (unitless)
Incubation_time (unitless)
Unit_of_incubation_time (unitless)
Replicate (unitless)
alkene_intensity (unitless)
alkane_intensity (unitless)
ketone_intensity (unitless)
alcohol_intensity (unitless)
aromatic_intensity (unitless)
phenol_intensity (unitless)
heterocyclic_intensity (unitless)
... (5 more variables)


[qPCR assays] - Results from qPCR assays to quantify the abundance and photochemical performance of symbionts relative to coral cells in three coral species collected from colonies in southeast Florida in April and October 2019 before, during, and after heat stress tests (Collaborative Research: Assessing the changing symbiotic milieu on Caribbean coral reefs under climate change: magnitude, tradeoffs, interventions, and implications)

This dataset contains results from assays to quantify the abundance and photochemical performance of Breviolum, Cladocopium, and Durusdinium symbionts relative to coral cells in Montastraea cavernosa, Orbicella faveolata, and Siderastrea siderea corals collected from colonies in southeast Florida in April 2019 and in October 2019, before, during and after aquarium-based experimental heat stress tests. Bulk genomic DNA was extracted from tissue scrapings taken from 2.5cm diameter cores of corals and was used as a template for symbiont genus-specific qPCR assays. The resulting CT values were used to calculate the relative abundance of each symbiont genus within each coral core over the course of the heat stress. The photochemical efficiency of each coral core was also measured periodically throughout heat stress tests using an imaging pulse amplitude modulated (I-PAM) fluorometer. The publication based on these data is Buzzoni, et al. (2023) (DOI: 10.1007/s00338-023-02428-x).

cdm_data_type = Other
VARIABLES:
Species (unitless)
Treatment (unitless)
Core (unitless)
Collection_Latitude (degrees_north)
longitude (Collection_longitude, degrees_east)
Timepoint (unitless)
Sym_Host (unitless)
Y2 (unitless)
PropD (unitless)
Batch (unitless)
Date (unitless)
Colony (unitless)


[qPCR] - Quantitative PCR data from sediment samples from MPSV GREATSHIP MANISHA IODP-347 cruise in the Baltic Sea in 2013 (IODP-347 Microbial Quantification project) (Quantifying the contribution of the deep biosphere in the marine sediment carbon cycle using deep-sea sediment cores from the Baltic Sea)

Quantitative PCR data from sediment samples

Locations:
 Site 59C (Little Belt); Site 60B (Anholt Loch); 63E (Landsort Deep); 65C
(Bornholm Basin).
 Subsurface samples as deep as 85 meters below the Baltic Sea floor.

cdm_data_type = Other
VARIABLES:
Identifier (text)
latitude (degrees_north)
longitude (degrees_east)
Depth (meters)
Archaea_replicate_1 (copies/uL)
Archaea_replicate_2 (copies/uL)
Bacteria_replicate_1 (copies/uL)
Bacteria_replicate_2 (copies/uL)
ANME1_replicate_1 (copies/uL)
ANME1_replicate_2 (copies/uL)
MCG_replicate_1 (copies/uL)
MCG_replicate_2 (copies/uL)


[qPCR_Parameters] - Limits of detection and qPCR efficiencies from 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)

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:
qPCR_Parameters (Q PCR Parameters, unitless)
Probe (unitless)
Forward_primer (unitless)
Reverse_primer (unitless)
Cycling_conditions (unitless)
Efficiency (unitless)
Limit_of_Detection_template (copies per microliter of template)
Limit_of_Detection_sample (copies per liter of sample)
Number_plates_run (count)
Reference (unitless)


[Quadrat counts] - Quadrat species counts and measurements along the Northern Central California coast from 2017 to 2021 (Collaborative Proposal: Selection and Genetic Succession in the Intertidal -- Population Genomics of Pisaster ochraceus During a Wasting Disease Outbreak and its Aftermath)

Quadrat species counts and measurements collected concurrently with habitat complexity photos along the Northern Central California coast from 2017 to 2021.

cdm_data_type = Other
VARIABLES:
Date (unitless)
Site_Code (unitless)
Area_Number (unitless)
Sector (unitless)
Quadrat_Waypoint (unitless)
latitude (degrees_north)
longitude (degrees_east)
Quadrat_Area (square meters (m^2))
Species (per individual)
n (per individual)
Tube_Number (unitless)
Primary_Measurement_Size (millimeters (mm))
Primary_Measurement_description (unitless)
Secondary_Measurement_Size (millimeters (mm))
Secondary_Measurement_description (unitless)
Notes (unitless)
Photo_ID (unitless)


[Quadrat data] - Quadrat sampling information along the Northern Central California coast from 2017 to 2021 (Collaborative Proposal: Selection and Genetic Succession in the Intertidal -- Population Genomics of Pisaster ochraceus During a Wasting Disease Outbreak and its Aftermath)

Quadrat sampling information collected concurrently with habitat complexity photos along the Northern Central California coast from 2017 to 2021.

cdm_data_type = Other
VARIABLES:
Date (unitless)
Site_Code (unitless)
Area_Number (unitless)
Sector (unitless)
Quadrat_Waypoint (unitless)
latitude (degrees_north)
longitude (degrees_east)
Quadrat_Area (square meters (m^2))
GPS_Name (unitless)
Site (unitless)
Start_Time (unitless)
Quadrat_Notes (unitless)
Most_common_substrate (unitless)
Second_most_common_substrate (unitless)
Quadrat_Photo (unitless)
GPS_Accuracy (meters (m))
Person (unitless)
time (Quadrat_start_datetime_utc, seconds since 1970-01-01T00:00:00Z)


[Qualitative biodiversity survey of corals in Palau] - Community composition of corals in Palau determined by a qualitative survey conducted in 2021-2022 (Collaborative Research: How do selection, plasticity, and dispersal interact to determine coral success in warmer and more variable environments?)

Bottlenecks in the early life-history stages of corals can shape community composition across reefs. We used photographic surveys and the deployment of tiles to capture recruit, juvenile, and adult corals at 7 sites across Palau. Photographic surveys were undertaken using two methods: a qualitative biodiversity survey (2021–2022) and quantitative transects (2023). This dataset includes the results from the biodiversity survey.

cdm_data_type = Other
VARIABLES:
Site (unitless)
Latitude (degrees_north)
longitude (degrees_east)
Type (unitless)
Stage (unitless)
Genus (unitless)
Abundance (count of individuals)


[Quantification of ciliated band length per unit protein in early echinoderm larvae: biometirc data] - Quantification of ciliated band length per unit protein in early echinoderm larvae (biometirc data), collected between 2020 and 2022 in the laboratory at California State University, Long Beach. (RUI: Effects of large inedible particles on larval feeding, planktonic larval duration, and juvenile quality in marine invertebrates)

This experiment compares the ciliated band length to the protein content of eight species of echinoderm larvae. The data was collected between 2020 and 2022 in the laboratory at California State University, Long Beach.

cdm_data_type = Other
VARIABLES:
Species (unitless)
Age (days)
Dev (unitless)
Beaker (unitless)
Larva (unitless)
cbl (mm)
bl (mm)
sl (mm)
sw (mm)
sa (square millimeter (mm^2))
mpo (mm)
po1 (mm)
po2 (mm)
geospatial_bound_N (degrees_north)
geospatial_bound_S (degrees_north)
geospatial_bound_E (degrees_east)
geospatial_bound_W (degrees_east)
experiment_location_lat (degrees_north)
experiment_location_long (degrees_east)
experiment_start (unitless)
experiment_end (unitless)


[Quantification of ciliated band length per unit protein in early echinoderm larvae: protein data] - Quantification of ciliated band length per unit protein in early echinoderm larvae (protein data), collected between 2020 and 2022 in the laboratory at California State University, Long Beach. (RUI: Effects of large inedible particles on larval feeding, planktonic larval duration, and juvenile quality in marine invertebrates)

This experiment compares the ciliated band length to protein content of eight species and the protein content of the larvae. The data was collected between 2020 and 2022 in the laboratory at California State University, Long Beach.

cdm_data_type = Other
VARIABLES:
Species (unitless)
Age (days)
Dev (unitless)
Beaker (unitless)
Sample (unitless)
Average (nanograms (ng))
sd (unitless)
geospatial_bound_N (degrees_north)
geospatial_bound_S (degrees_north)
geospatial_bound_E (degrees_east)
geospatial_bound_W (degrees_east)
experiment_location_lat (degrees_north)
experiment_location_long (degrees_east)
experiment_start (unitless)
experiment_end (unitless)


[Quantitative PCR data] - Quantitative PCR data from samples collected on the R/V Sarmiento de Gamboa cruise in the subtropical North Atlantic Ocean between January and March 2011 (Microbial associations in zooplankton project) (Microbial associations in zooplankton: significance for the marine nitrogen cycle)

Quantitative PCR data from samples collected on the R/V Sarmiento de Gamboa cruise in the subtropical North Atlantic Ocean between January and March 2011 (Microbial associations in zooplankton project)

cdm_data_type = Other
VARIABLES:
project (unitless)
date (unitless)
time2 (Time, unitless)
station (unitless)
latitude (degrees_north)
longitude (degrees_east)
number (unitless)
size_fraction (microns)
UCYN_A (genes per liter)
Gamma_24774A11 (Gamma 24774 A11, genes per liter)
group_B (genes per liter)
Tricho (genes per liter)
Het1 (genes per liter)
time (ISO Date Time UTC, seconds since 1970-01-01T00:00:00Z)


[rad_sed_core] - Radionuclides sediment cores collected on the R/V Thomas G. Thompson cruise TT013 in the Equatorial Pacific in 1992 during the U.S. JGOFS Equatorial Pacific (EqPac) project (U.S. JGOFS Equatorial Pacific)

This dataset reports measurements of radionuclides detected in sediment core samples collected on the R/V Thomas G. Thompson cruise TT013 in the Equatorial Pacific in 1992 during the U.S. JGOFS Equatorial Pacific (EqPac) project.

cdm_data_type = Other
VARIABLES:
event (unitless)
sta (unitless)
latitude (degrees_north)
longitude (degrees_east)
core_type (unitless)
depth_core (centimeters)
U238 (dpm/gram)
U238_err (dpm/gram)
Th232 (dpm/gram)
Th232_err (dpm/gram)
Th230 (dpm/gram)
Th230_err (dpm/gram)
Pa231 (dpm/gram)
Pa231_err (dpm/gram)
Be10 (atoms/gram)
Be10_err (atoms/gram)
CaCO3 (percent)
opal (percent)
C14_age (years)
C14_age_err (years)


This dataset reports measurements of radionuclides detected in sediment core samples collected on the R/V Thomas G. Thompson cruise TT013 in the Equatorial Pacific in 1992 during the U.S. JGOFS Equatorial Pacific (EqPac) project.

cdm_data_type = Other
VARIABLES:
event (unitless)
sta (unitless)
latitude (degrees_north)
longitude (degrees_east)
core_type (unitless)
depth_water (meters)
depth_core (centimeters)
U238 (dpm/gram)
U238_err (dpm/gram)
Th232 (dpm/gram)
Th232_err (dpm/gram)
Th230 (dpm/gram)
Th230_err (dpm/gram)
Pa231 (dpm/gram)
Pa231_err (dpm/gram)
Be10 (atoms/gram)
Be10_err (atoms/gram)
CaCO3 (percent)
opal (percent)
C14_age (years)
C14_age_err (years)


[Radiocarbon ages for Guaymas Basin and Sonora Margin sediments] - Radiocarbon [14C] ages of sedimentary organic matter and sedimentation rates for Guaymas Basin and Sonora Margin sediments collected from R/V El Puma, leaving Guaymas on October 14, 2014 and returning to Mazatlan on October 27, 2014 (RAPID proposal: Site characterization cruise to document the active and extensive subsurface biosphere in the Guaymas Basin)

Radiocarbon [14C] ages of sedimentary organic matter and sedimentation rates for Guaymas Basin and Sonora Margin sediments collected from R/V El Puma (the Pacific Coast research vessel of the Autonomous University of Mexico) from October 14, 2014 to October 27, 2014.

cdm_data_type = Other
VARIABLES:
Core (unitless)
Depth_in_core (Depth, centimters (cm))
C14_age (years before present (ybp))
C14_age_uncertainty (+/- years before present (ybp))
Calendar_age (years before present (ybp))
Sed_Rate (millimeters per year (mm/year))


[radionuclide uptake by humic acids] - Experimental observations of radionuclide uptake by colloidal and particulate humic acids obtained from 14 soils collected worldwide (Biopolymers as carrier phases for selected natural radionuclides (of Th, Pa, Pb, Po, Be) in diatoms and coccolithophores)

The uptake and binding of six particle-reactive and/or redox-sensitive radionuclides (210Pb, 234Th, 7Be, 59Fe, 237Np and 233Pa) with different organic functionalities of three size fractions.

cdm_data_type = Other
VARIABLES:
No (unitless)
HA_ID (unitless)
Site (unitless)
Soil_Order (unitless)
Land_use (unitless)
Sample_ID (unitless)
part_210Pb (Part 210 Pb, unitless)
part_234Th (Part 234 Th, unitless)
part_7Be (Part 7 Be, unitless)
part_59Fe (Part 59 Fe, unitless)
part_237Np (Part 237 Np, unitless)
part_233Pa (Part 233 Pa, unitless)
col_210Pb (Col 210 Pb, unitless)
col_234Th (Col 234 Th, unitless)
col_7Be (Col 7 Be, unitless)
col_59Fe (Col 59 Fe, unitless)
col_237Np (Col 237 Np, unitless)
col_233Pa (Col 233 Pa, unitless)
logKd_210Pb (Log Kd 210 Pb, unitless)
logKd_234Th (Log Kd 234 Th, unitless)
logKd_7Be (Log Kd 7 Be, unitless)
logKd_59Fe (Log Kd 59 Fe, unitless)
logKd_237Np (Log Kd 237 Np, unitless)
logKd_233Pa (Log Kd 233 Pa, unitless)
logKdc_210Pb (Log Kdc 210 Pb, unitless)
logKdc_234Th (Log Kdc 234 Th, unitless)
... (12 more variables)


[RADseq data from Atlantic silversides used for linkage and QTL mapping] - RADseq data from Atlantic silversides used for linkage and QTL mapping. (Collaborative research: The genomic underpinnings of local adaptation despite gene flow along a coastal environmental cline)

ddRADseq data from 568 Atlantic silversides (Menidia menidia) that are either F1 or F2 offspring to wild-caught parents from Georgia and New York used in a controlled breeding experiment. The data were used to build linkage maps for each of the separate populations and their inter-population cross, and to perform quantitative trait locus mapping.

cdm_data_type = Other
VARIABLES:
bioproject_accession (units)
biosample_accession (units)
taxonomic_name (units)
mother_f0_sampling_location (units)
lat_mother (degrees_north)
lon_mother (degrees_east)
father_f0_sampling_location (units)
lat_father (degrees_north)
lon_father (degrees_east)
SRA_study_accession (units)
SRA_experiment_accession (units)
SRA_run_accession (units)
library_ID (units)
title (units)
library_strategy (units)
library_source (units)
library_selection (units)
library_layout (units)
platform (units)
instrument_model (units)
design_description (units)
filetype (units)
sample_name (units)
filename (units)


[Rainfall and surface light intensity] - Measurements of rainfall and surface light intensity (PAR) in St. John, US Virgin Islands from 2014-2017. (Collaborative research: Ecology and functional biology of octocoral communities)

Data supporting publication through measurements of rainfall on St. John and surface light adjacent to Lameshur Bay. These data describe rainfall on the north shore of St. John as measured by R. Boulon using a manual rain gauge.

cdm_data_type = Other
VARIABLES:
Year (unitless)
Month (unitless)
Rainfall (centimeters per month)
SurfaceLight_Mean (Surface Light Mean, umol photons per square meter per day)
SurfaceLight_SE (Surface Light SE, umol photons per square meter per day)


[Rainfall and temperature data] - Rainfall and seawater temperature in St. John, USVI in 1987–2013 (St. John LTREB project, VI Octocorals project). (LTREB Long-term coral reef community dynamics in St. John, USVI: 1987-2019)

Temperature and rainfall data for St. John USVI.

cdm_data_type = Other
VARIABLES:
year (unitless)
rainfall (centimeters)
temp_seawaterSurface (Temp Seawater Surface, celsius)
temp_min (celsius)
temp_max (celsius)
hotDays_num (Hot Days Num, count)
coldDays_num (Cold Days Num, count)


[Rapid Light Curves_PAM] - Measurements of fluorescence of photosystem II in Plocamium cartilagineum under various and pCO2 and temperature conditions (Ocean Acidification: Scope for Resilience to Ocean Acidification in Macroalgae)

This dataset includes photosynthetic pigment concentrations in Plocamium cartilagineum grown under various temperatures and CO2 levels, from July 2014 to February 2015. The parameters reported are: the concentrations of Chlorophyll a, Phycoerythrin, Phycocyanin, Allophycocyanin, and total Phycobiliprotein, and the ratio of total Phycobiliprotein to Chlorophyll A.

cdm_data_type = Other
VARIABLES:
Trial (unitless)
Tank_ID (unitless)
pCO2 (P CO2, atm)
Temp (Temperature, degrees Celsius (°C))
Plant_ID (unitless)
ID (unitless)
Week (unitless)
date (unitless)
light (micromole photons/meter^2/second ( µmole photons . m^-2 . s^-1))
F (unitless)
Fm (unitless)
Yield (unitless)
rETR (R ETR, unitless)
qP (Q P, unitless)
qN (Q N, unitless)
NPQ (unitless)


[Raw patterns] - Sex ratio and GSI data for M. beryllina collected offshore of Pt. Lobos, California from 2009 to 2010. (Impacts of size-selective mortality on sex-changing fishes)

Sex ratio and GSI data for M. beryllina collected offshore of Pt. Lobos, California from 2009 to 2010.

cdm_data_type = Other
VARIABLES:
Investigator (unitless)
Site (unitless)
Date (unitless)
MeanGSI (Mean GSI, count)
Fs (count)
Ms (count)
Total (count)


[RC0107 water column data] - Carbon system measurements, methane, nutrients, and sulfate concentrations from water column samples collected on R/V Rachel Carson cruise RC0107 in Clayoquot Sound, Vancouver Island, British Columbia during October 2023 (CAREER: Cryptic sulfur cycling and organic matter preservation in marine oxygen deficient zones)

These data include carbon system measurements, methane, nutrients, and sulfate concentrations from water column samples collected on the R/V Rachel Carson cruise RC0107 between October 2nd and 8th, 2023 in Clayoquot Sound, Vancouver Island, British Columbia. Water samples were collected at multiple sites in Clayoquot Sound.

CTD casts were conducted at numerous locations across the study area, and the corresponding CTD data are publicly available through the Rolling Deck to Repository (R2R). For sampling sites where water was collected, we provide data for the carbon system (DIC, pH, and alkalinity), methane, nutrients, and sulfate concentrations. These data will be valuable for those interested in carbon cycling and biogeochemistry in fjord systems. Samples were collected by Molly Crotteau, Morgan Raven, Aaron Martinez, Natalya Evans, Marianna Karagiannis, Jordan Fisburn, and Jaqui Neibauer. Data were interpreted by Morgan Raven and Molly Crotteau.

cdm_data_type = Other
VARIABLES:
site (unitless)
latitude (degrees_north)
longitude (degrees_east)
date (unitless)
depth (m)
temp (degrees Celsius)
sal (PSU)
O2 (micromole per kilogram)
fluor (milligram per meter cubed)
SO4 (millimolar)
DIC (millimolar)
d13C_DIC (per mille)
pH (unitless)
Alk (micromole per kilogram)
CH4 (nanomolar)
PO4 (micromolar)
... (4 more variables)


[RECHARGE 2018 - 2020 Microbiome Data] - Sequence read accession (SRA) numbers and collection metadata for coral microbiome collected in Moorea, French Polynesia from Jul 2018 to Aug 2020 (Collaborative Research: Tipping points in coral reefs and their associated microbiomes: interactive effects of herbivory, nutrient enrichment, and temperature)

This dataset contains the complete sample information for the 16S rRNA gene V4 region amplicon sequencing data associated with the NCBI SRA accession from BioProject PRJNA994532. All raw sequencing data can be found at this publicly available NCBI SRA BioProject.

The associated samples were collected from an in situ coral manipulative experiment in Moorea, French Polynesia between 2018-2020 from Acropora retusa, Porites lobata, and Pocillopora spp. Data collection was a multi-university collaborative effort between the Vega Thurber Laboratory,  at Oregon State University during the time of the experiment, and the Burkepile Community Ecology Laboratory at UC Santa Barbara. The experiment, conducted on the fore reef on the north shore of the island, evaluated the interaction of consumer pressure level (termed "Herbivory" in the dataset and in Vompe et al., 2023) and nutrient enrichment on coral microbiome composition and host success. The experiment also captured two severe and sequential marine heatwaves in 2019 and 2020. This experiment aimed to  evaluate whether managing local inputs, including water column nutrient levels and fishing regimes, interacts with heat stress to affect coral success. Coral microbiomes were sampled as these microbial communities are known to interact with host health during heat stress. The data herein correspond to the microbiomes of the sampled corals.

cdm_data_type = Other
VARIABLES:
Sample (unitless)
Date_MonthYear (unitless)
Coral_Code (unitless)
Herbivory (unitless)
Nutrients (unitless)
Plot (unitless)
Tag (unitless)
Batch (unitless)
Run (unitless)
AssayType (unitless)
AvgSpotLen (unitless)
Bases (unitless)
... (32 more variables)


[RECHARGE 2018 - 2020 Microbiome Host Bleaching and Mortality Data] - Microbiome Host Bleaching and Mortality Data for coral hosts collected in Moorea, French Polynesia from Jul 2018 to Aug 2020 (Collaborative Research: Tipping points in coral reefs and their associated microbiomes: interactive effects of herbivory, nutrient enrichment, and temperature)

This dataset contains bleaching and mortality levels for the coral hosts associated with the 16S rRNA gene V4 region amplicon sequencing data, NCBI SRA accession from BioProject PRJNA994532. Orthorectified photomosaics were assembled from photos taken of experimental plots from an in situ coral manipulative experiment in Moorea, French Polynesia between 2018-2020. Partial bleaching and mortality was assigned from these photomosaics to Acropora retusa, Porites lobata, and Pocillopora spp. coral colonies associated with the microbiome sampling described above, whenever possible. Data collection was a multi-university collaborative effort between the Vega Thurber Laboratory, at Oregon State University during the time of the experiment, and the Burkepile Community Ecology Laboratory at UC Santa Barbara.

The experiment, conducted on the fore reef on the north shore of the island, evaluated the interaction of consumer pressure level (termed "Herbivory" in the dataset and in Vompe et al., 2023) and nutrient enrichment on coral microbiome composition and host bleaching and mortality. The experiment also captured two severe and sequential marine heatwaves in 2019 and 2020. This experiment aimed to evaluate whether managing local inputs, including water column nutrient levels and fishing regimes, interacts with heat stress to affect coral success. Coral colony partial bleaching and partial mortality data were collected for hosts sampled for microbiome analyses, because we aimed to correlate microbiome changes to changes in host phenotypes.

cdm_data_type = Other
VARIABLES:
Sample (unitless)
Date (unitless)
Coral (unitless)
Herbivory (unitless)
Nutrients (unitless)
Plot (unitless)
Tag (unitless)
Run (unitless)
Colony (unitless)
percent_bleached (percent)
percent_dead (percent)


[Reciprocal transplant expt. - ecological survey] - Coral colony sizes and conditions, of three species of the Orbicella complex (Orbicella annularis, O. faveolata and O. franksi) in two donor sites of a reciprocal transplant experiment, Varadero and Punta Brava, 2017 (RAPID: Coral robustness: lessons from an "improbable" reef)

This dataset contains the primary data of the bathymetric survey of three species of the Orbicella complex (Orbicella annularis, O. faveolata and O. franksi). The surveys were performed in two donor sites of a reciprocal transplant experiment:  Varadero and Punta Brava. The number of colonies and some physiological traits recorded on a belt transect deployed perpendicular to the reef slope at a series of depths are reported.

cdm_data_type = Other
VARIABLES:
Site (unitless)
depth (m)
Transect (unitless)
taxon_code (unitless)
diam_max (centimeters)
diam_min (centimeters)
height (centimeters)
mortality_old (unitless)
mortality_new (unitless)
mortality_total (unitless)


[Reciprocal transplant expt. - irradiance and light attenuation 2017] - Irradiance and estimated light attenuation coefficient, Kd, underwater and onshore in Varadero Reef, 2017 (RAPID: Coral robustness: lessons from an "improbable" reef)

This dataset contains the primary data of irradiance recorded underwater and onshore and the estimated light attenuation coefficient, Kd, based on these data in Varadero Reef. The irradiance recorded synchronously onshore and underwater were used to estimate the variability of the light attenuation coefficient (Kd) resulting from temporal variation of the optical properties of water.

cdm_data_type = Other
VARIABLES:
Date (unitless)
time2 (Time, unitless)
DateTimeLocal (Date Time Local, unitless)
Irradiance_uw (micromol quanta meter^-2 second^-1)
Irradiance_onshore (micromol quanta meter^-2 second^-1)
Kd_est (meter^-1)
time (ISO Date Time UTC, seconds since 1970-01-01T00:00:00Z)


[Reciprocal transplant expt. - Photosynthetic parameters] - Photosynthesic parameters (calculated alpha, Pmax, Respiration, Ek and Ec) for each P-E curve for coral Orbicella faveolata from Rosaria and Varadero reef sites and Cartagena Bay, Colombia, 2016 and 2017 (RAPID: Coral robustness: lessons from an "improbable" reef)

This dataset contains the results of the photosynthetic parameters calculated based on the analysis of the P-E curves from coral fragment of the species Orbicella faveolata used in the transplant experiment between three sites: Varadero (10\u00b018'23.3\N, 75\u00b035'08.0\W), Rosario (10\u00b011'12.1\N, 75\u00b044'43.0\W) and Abanico (10\u00b018'5.80\N, 75\u00b034'37.10\W). The tag number/color of each fragment, the date of data collection, and the sites of origin and destination are specified.

cdm_data_type = Other
VARIABLES:
Source_site (unitless)
Tag_num (unitless)
Tag_color (unitless)
Destination_site (unitless)
Data_Timepoint (unitless)
Date_collected (unitless)
Area_cm2 (centimeter^2)
Chl_a (Concentration Of Chlorophyll In Sea Water, milligrams Chla meter^-2)
D_675 (unitless)
a_star_675 (meters^2 milligram Chla^-1)
alpha (mol Oxygen mol quanta^-1)
Ec (micromol quanta meter^-2 second^-1)
Ek (micromol quanta meter^-2 second^-1)
Rd (micromol Oxygen meter^-2 second^-1)
Pmax (micromol Oxygen meter^-2 second^-1)


[Reciprocal transplant expt. - PSII of random colonies] - Photosystem II (PSII) photochemical efficiency (Yield PSII) recorded at noon (ΔF/Fm') and at dusk (Fv/Fm) on random coral colonies of Orbicella faveolata from Varadero and Rosario reefs, Colombia, May 2017 (RAPID: Coral robustness: lessons from an "improbable" reef)

Photosystem II (PSII) photochemical efficiency (Yield PSII) recorded at noon (\u0394F/Fm') and at dusk (Fv/Fm) on random coral colonies of Orbicella faveolata for a reciprocal transplant experiment, from Varadero and Rosario reefs, Colombia, May 2017

cdm_data_type = Other
VARIABLES:
Date (unitless)
time2 (Time, unitless)
Type (unitless)
Site (unitless)
Colony (unitless)
F (unitless)
Fm_prime (unitless)
Yield_PSII (unitless)
depth (m)
time (ISO Date Time UTC, seconds since 1970-01-01T00:00:00Z)


[Reciprocal transplant expt. - PSII of transplanted corals] - Photosystem II (PSII) photochemical efficiency (Yield PSII) recorded at noon (ΔF/Fm') and at dusk (Fv/Fm) on corals from the species Orbicella faveolata, transplanted from Varadero and Rosario reefs, Colombia, May 2017 (RAPID: Coral robustness: lessons from an "improbable" reef)

Photosystem II (PSII) photochemical efficiency (Yield PSII) recorded at noon (\u0394F/Fm') and at dusk (Fv/Fm) on corals from the species Orbicella faveolata. Coral fragments were transplanted from Varadero and Rosario reefs to Varadero reef, Rosario reef, or Cartagena Bay, Colombia, May 2017.

cdm_data_type = Other
VARIABLES:
Date (unitless)
time2 (Time, unitless)
Type (unitless)
Frag (unitless)
Tag_color (unitless)
Source_site (unitless)
Destination_site (unitless)
F (unitless)
Fm_prime (unitless)
Yield_PSII (unitless)
depth (m)
time (ISO Date Time UTC, seconds since 1970-01-01T00:00:00Z)


[Reciprocal transplants] - Data from reciprocal transplant experiments conducted on Porites coral collected on Palau in December 2012 (Toward Predicting the Impact of Ocean Acidification on Net Calcification by a Broad Range of Coral Reef Ecosystems: Identifying Patterns and Underlying Causes)

Data from reciprocal transplant experiments conducted on Porites coral collected on Palau in December 2012.

cdm_data_type = Other
VARIABLES:
coral_id (unitless)
transplant_duration (months)
original_omegaAR (Original Omega AR, unitless)
transplant_omegaAR (Transplant Omega AR, unitless)
treatment_code (unitless)
calc_rate (milligrams per square centimeter per month (mg/cm2/month))
status (unitless)


[reconstructed genomes] - Reconstructed genomes from North Pond, western flank of the Mid-Atlantic Ridge, from 2012-2014 (Collaborative Research: Characterization of Microbial Transformations in Basement Fluids, from Genes to Geochemical Cycling)

Reconstructed genomes from North Pond

cdm_data_type = Other
VARIABLES:
bioproject_id (unitless)
Assembly (unitless)
Level (unitless)
WGS (unitless)
BioSample (Bio Sample, unitless)
Isolate (unitless)
Taxonomy (unitless)


[Recoveries and partition coefficients] - Po, Pb and Be partition coefficients on nanoparticles from laboratory experiments (Biopolymers as carrier phases for selected natural radionuclides (of Th, Pa, Pb, Po, Be) in diatoms and coccolithophores)

Laboratory sorption experiments were carried out to examine the adsorption of 210Po, 210Pb and 7Be and their fractionation on inorganic nanoparticles, including SiO2,CaCO3, Al2O3, TiO2 and Fe2O3, in the presence or absence of macromolecular organic compounds (MOCs) that include humic acids (HA), acid polysaccharides (APS) and proteins (BSA), in natural seawater.

cdm_data_type = Other
VARIABLES:
System (unitless)
Organic_nanoparticle (unitless)
Inorganic_nanoparticle (unitless)
Pb210_recovery (unitless)
err_Pbrec (unitless)
Be7_recovery (unitless)
err_Berec (unitless)
Po210_recovery (unitless)
err_Porec (unitless)
Partition_coefficient_of_210Pb_Kc (Partition Coefficient Of 210 Pb Kc, 10^4 Liters per Kilogram (L/kg))
err_Kc_Pb (10^4 Liters per Kilogram (L/kg))
Partition_coefficient_of_7Be_Kc (Partition Coefficient Of 7 Be Kc, 10^4 Liters per Kilogram (L/kg))
err_Kc_Be (10^4 Liters per Kilogram (L/kg))
Partition_coefficient_of_210Po_Kc (Partition Coefficient Of 210 Po Kc, 10^4 Liters per Kilogram (L/kg))
err_Kc_Po (10^4 Liters per Kilogram (L/kg))


[Recruit area measurements] - Area of Orbicella faveolata recruits hosting different proportions of various symbiont genera from a symbiont acquisition laboratory experiment conducted in 2018 and 2019 (Collaborative Research: Assessing the changing symbiotic milieu on Caribbean coral reefs under climate change: magnitude, tradeoffs, interventions, and implications)

This dataset includes area (mm2) of Orbicella faveolata recruits hosting different proportions of various symbiont genera.

These data correspond to research presented in Williamson et al. (2021), published in Coral Reefs and funded in part by the NSF project "Symbiont Shifts on Reefs". They were used to test if Orbicella faveolata recruits could establish symbiosis with D. trenchii supplied by nearby “donor” colonies and examined the resulting ecological trade-offs to evaluate early Symbiodiniaceae manipulation as a scalable tool for reef restoration. We exposed aposymbiotic recruits to 29 °C or 31 °C and to fragments of Montastraea cavernosa (containing Cladocopium ITS2 type C3) or Siderastrea siderea (containing D. trenchii). Next, a subset of recruits were exposed to a 60-day heat stress. These data include survivorship and symbiont acquisition rates, symbiont identity and density data (derived using qPCR), polyp area measurements, and scoring of bleaching and survivorship during a heat stress experiment. Overall, proportion of D. trenchii hosted was negatively correlated with polyp size and symbiont density, indicating a trade-off between growth (of both host and symbiont) and heat tolerance. These findings suggest that, while donor colonies may be effective sources for seeding coral recruits with thermotolerant symbionts, practitioners will need to balance the likely benefits and costs of these approaches when designing restoration strategies.

cdm_data_type = Other
VARIABLES:
Date_of_Photo (unitless)
Image_Name (unitless)
Tank (unitless)
Adult (unitless)
Temp (unitless)
Area_mm2 (square millimeters (mm2))


[Recruit qPCR data] - qPCR data for Orbicella faveolata recruits throughout a symbiont acquisition laboratory experiment conducted in 2018 and 2019 (Collaborative Research: Assessing the changing symbiotic milieu on Caribbean coral reefs under climate change: magnitude, tradeoffs, interventions, and implications)

qPCR data for Orbicella faveolata recruits throughout symbiont acquisition laboratory experiment. Includes proportion of different Symbiodinaceae genera hosted, and symbiont-to-host cell ratios (symbiont density).

These data correspond to research presented in Williamson et al. (2021), published in Coral Reefs and funded in part by the NSF project "Symbiont Shifts on Reefs". They were used to test if Orbicella faveolata recruits could establish symbiosis with D. trenchii supplied by nearby “donor” colonies and examined the resulting ecological trade-offs to evaluate early Symbiodiniaceae manipulation as a scalable tool for reef restoration. We exposed aposymbiotic recruits to 29 °C or 31 °C and to fragments of Montastraea cavernosa (containing Cladocopium ITS2 type C3) or Siderastrea siderea (containing D. trenchii). Next, a subset of recruits were exposed to a 60-day heat stress. These data include survivorship and symbiont acquisition rates, symbiont identity and density data (derived using qPCR), polyp area measurements, and scoring of bleaching and survivorship during a heat stress experiment. Overall, proportion of D. trenchii hosted was negatively correlated with polyp size and symbiont density, indicating a trade-off between growth (of both host and symbiont) and heat tolerance. These findings suggest that, while donor colonies may be effective sources for seeding coral recruits with thermotolerant symbionts, practitioners will need to balance the likely benefits and costs of these approaches when designing restoration strategies.

cdm_data_type = Other
VARIABLES:
Sample (unitless)
tank (unitless)
temp (unitless)
adult (unitless)
days (days)
Coral_CT_mean (unitless)
A_CT_mean (unitless)
B_CT_mean (unitless)
C_CT_mean (unitless)
... (15 more variables)