[Ocean warming & acidification experiment: Acartia hudsonica population fitness] - Population fitness measurements collected for Acartia hudsonica during multigenerational exposure to ocean warming (OW), ocean acidification (OA), and combined ocean warming and acidification (OWA) (Collaborative Research: Response of marine copepods to warming temperature and ocean acidification)

These data include population fitness measurements collected for Acartia hudsonica during multigenerational exposure to ocean warming (OW), ocean acidification (OA), and combined ocean warming and acidification (OWA) including a benign ambient condition temperature and CO2 control (AM).

cdm_data_type = Other
VARIABLES:
Generation (unitless)
Treatment (unitless)
Rep (unitless)
lambda (per generation)
surv (unitless)
epr (eggs per female per day)
hf (nauplii per number of eggs laid)
sex (females per total copepods)
dev_time (days to adulthood)


[Ocean warming & acidification experiment: Acartia hudsonica survival] - Survivorship measurements collected for Acartia hudsonica during multigenerational exposure to ocean warming (OW), ocean acidification (OA), and combined ocean warming and acidification (OWA) (Collaborative Research: Response of marine copepods to warming temperature and ocean acidification)

These data include survivorship measurements collected for Acartia hudsonica during multigenerational exposure to ocean warming (OW), ocean acidification (OA), and combined ocean warming and acidification (OWA) including a benign ambient condition temperature and CO2 control (AM). These data were collected every second generation between F0 and F4 for all treatments and F11 for AM and OWA. Data were collected as the proportion of surviving individuals on any day (x) relative to the starting number of individuals for a single experiment.

cdm_data_type = Other
VARIABLES:
Generation (unitless)
Treatment (unitless)
Temp (degrees Celsius)
pH (pH units)
Rep (unitless)
Beak (unitless)
time_elapsed (Time, days)
nx (number of individuals)
lx (unitless)
Ndev (number of individuals)
Cdev (number of individuals)
F_Ratio (females per total individuals)
M_Ratio (males per total individuals)


[Ocean warming & acidification experiment: Acartia tonsa body size] - Acartia tonsa body size data for transgenerational ocean warming and acidification experiments (Collaborative Research: Response of marine copepods to warming temperature and ocean acidification)

These data include body size measurements collected for Acartia tonsa during multigenerational exposure to ocean warming (OW), ocean acidification (OA), and combined ocean warming and acidification (OWA) including a benign ambient condition temperature and CO2 control (AM). These data were collected every third generation between F0 and F15 and at F25 for all treatments. Data was collected on C1 juveniles (C1), adult males (C6M), and adult females (C6F). Individual copepods were stained with non-acid lugol's solution, isolated in a drop of filtered seawater, and photographed using a Lumenera Infinity5-5 camera (Teledyne Lumenera, Ottawa, ON, CAN) attached to an inverted microscope (Olympus IX70, Olympus, Waltham, MA, USA) after the water droplet had been removed. Body size was measured as prosome length at C1 and C6 stages using Image-J (https://imagej.nih.gov/ij/).

cdm_data_type = Other
VARIABLES:
Treatment (unitless)
Length (millimeter (mm))
Temp (degrees Celsius(°C))
pH (unitless)
Generation (unitless)
Stage (unitless)


[Ocean warming & acidification experiment: Acartia tonsa egg production and hatching success] - Acartia tonsa egg production rate and egg hatching success for transgenerational exposure to ocean warming and ocean acidification (Collaborative Research: Response of marine copepods to warming temperature and ocean acidification)

These data include egg production rate (EPR) and egg hatching success (HS) data for Acartia tonsa during multigenerational exposure to ocean warming (OW), ocean acidification (OA), and combined ocean warming and acidification (OWA) including a benign ambient condition temperature and CO2 control (AM). These data were collected every third generation between F0 and F15 and at F25 for all treatments. Data was collected as the number of eggs produced and hatched offspring per female per treatment at each generation.

cdm_data_type = Other
VARIABLES:
Generation (unitless)
Rep (unitless)
Treatment (unitless)
Temp (degrees Celsius (°C))
pH (unitless)
Hatched (unitless)
Unhatched (unitless)
Total (unitless)
EPRtot (unitless)
HFtot (unitless)


[Ocean warming & acidification experiment: Acartia tonsa population fitness] - Population fitness measurements collected for Acartia tonsa during multigenerational exposure to ocean warming (OW), ocean acidification (OA), and combined ocean warming and acidification (OWA) (Collaborative Research: Response of marine copepods to warming temperature and ocean acidification)

These data include population fitness measurements collected for Acartia tonsa during multigenerational exposure to ocean warming (OW), ocean acidification (OA), and combined ocean warming and acidification (OWA) including a benign ambient condition temperature and CO2 control (AM). These data were estimated as the population net reproductive rate collected every third generation between F0 and F15 and at F25 for all treatments. These data were estimated via age-structured leslie matrices using the existing survival, fecundity (egg production and hatching success), development time, and sex ratio data for this experiment.

cdm_data_type = Other
VARIABLES:
Generation (unitless)
Treatment (unitless)
Rep (unitless)
lambda (per generation)
surv (unitless)
epr (eggs per female per day)
hf (nauplii per number of eggs laid)
sex (females per total copepods)
dev_time (days to adulthood)
lambda_stand (unitless)
surv_stand (unitless)
epr_stand (unitless)
hf_stand (unitless)
sex_stand (unitless)
dev_stand (unitless)
lambda_rel (unitless)
surv_rel (unitless)
epr_rel (unitless)
hf_rel (unitless)
sex_rel (unitless)
dev_rel (unitless)


[Oceanic Flux Program samples with presence and abundance of blue particles] - Presence and abundance of blue particles in Oceanic Flux Program (OFP) samples collected from 1984-2019 at the OFP mooring in the Sargasso Sea (OCE-PRF:  Towards Quantifying Calcium Carbonate Sediment Dissolution During Marine Diagenesis)

These data are compiled from the Oceanic Flux Program (OFP) archive and show a number of OFP samples that contain blue particles along with the date of the collection period, depth, sample size fraction, and the presence/absence and abundance of the blue particles.

cdm_data_type = Other
VARIABLES:
OFP_Sample_ID (unitless)
latitude (degrees_north)
longitude (degrees_east)
Mid_date (unitless)
Days_sampling (unitless)
depth (m)
Size_fraction (micrometers (um))
Blue_particle_present (unitless)
Num_blue_particles (unitless)


[Octocoral abundance by genera] - Octocorals surveys 1987–2013 (St. John LTREB project, VI Octocorals project). (LTREB Long-term coral reef community dynamics in St. John, USVI: 1987-2019)

Surveys of octocorals from 1987-2013

cdm_data_type = Other
VARIABLES:
site (site)
year (year)
Briareum (count)
Erythropodium (count)
Pseudoplexaura (count)
Eunicea (count)
Plexaurella (count)
Muricea (count)
Muriceopsis (count)
Antillogorgia (count)
Gorgonia (count)
Pterogorgia (count)
Plexaura (count)
unknown (count)
octocorals_total (count)


[Octocoral species abundances 2018] - Octocoral colony heights measured during transect surveys at four sites on the south shore of St. John, US Virgin Islands in June-August 2018. (Collaborative Research: Pattern and process in the abundance and recruitment of Caribbean octocorals)

Octocoral colony heights measured during transect surveys at four sites on the south shore of St. John, US Virgin Islands in June-August 2018.

cdm_data_type = Other
VARIABLES:
Site (unitless)
latitude (degrees_north)
longitude (degrees_east)
Census_Year (unitless)
Transect_Position (unitless)
Genus_Species (unitless)
Species_code (unitless)
Date (unitless)
Side_of_transect (unitless)
Meter_on_transect (meters)
Genus (unitless)
Height_of_living_tissue_cm (centimeters)
Total_height (centimeters)
Basal_damage (centimeters)
Damage (unitless)
Comments_1 (unitless)
Comments_2_sample_tag (unitless)


[Octocoral transects - species list] - Octocoral species list used during surveys in St. John, US Virgin Islands between 2014-2017 (St. John LTREB project, VI_Octocorals) (LTREB Long-term coral reef community dynamics in St. John, USVI: 1987-2019)

Octocoral species list used during surveys in St. John, US Virgin Islands between 2014-2018

cdm_data_type = Other
VARIABLES:
field_code (unitless)
species (unitless)


[octocoral] - Octocoral species abundance during transect surveys at four sites on the south shore of St. John, US Virgin Islands from November to December 2017 (RAPID: Resilience of Caribbean octocorals following Hurricanes Irma and Maria)

This dataset contains octocoral colony heights measured during transect surveys at four sites on the south shore of St. John, US Virgin Islands in November 2017 following Hurricanes Irma and Maria.

cdm_data_type = Other
VARIABLES:
Site (unitless)
latitude (degrees_north)
longitude (degrees_east)
Census_Year (unitless)
Date (unitless)
Transect_Position (meters (m))
Side_of_transect (unitless)
Meter_on_transect (meters (m))
Species_code (unitless)
Height_of_living_tissue (centimeters (cm))
Total_Height (centimeters (cm))
Genus_Species (unitless)
Genus (unitless)
Species (unitless)
Comments_1 (unitless)
Comments_2 (unitless)


[Octocorals at East Cabritte and Europa Bay] - Location, abundance, and size of various octocoral species in St. John, USVI from 2014 to 2015. (LTREB Long-term coral reef community dynamics in St. John, USVI: 1987-2019)

Location, abundance, and size of various octocoral species in St. John, USVI from 2014 to 2015.

cdm_data_type = Other
VARIABLES:
site (unitless)
latitude (degrees_north)
longitude (degrees_east)
date (unitless)
transect_pos (unitless)
field_code (unitless)
species (unitless)
transect_side (unitless)
transect_m (meters)
height (centimeters)


[Oculina coral OA expt] - Calcification and linear extension rates for Oculina arbuscula corals grown under different pCO2 levels; from the Cohen lab at WHOI in Woods Hole, MA (OA Nutrition and Coral Calcification project) (An Investigation of the Role of Nutrition in the Coral Calcification Response to Ocean Acidification)

Data from experiments examining the effect of CO2-induced ocean acidification
on the scleractinian coral Oculina arbuscula.

For more information on the experimental methods and results, see Ries et al.,
2010.

These data have also been deposited to PANGAEA where additional carbonate
system variables were calculated as described by Nisumaa et al. (2010). See:
[http://doi.pangaea.de/10.1594/PANGAEA.754790](\\http://doi.pangaea.de/10.1594/PANGAEA.754790\\)

cdm_data_type = Other
VARIABLES:
omega_Arg (dimensionless)
species (dimensionless)
sample (dimensionless)
buoyant_wt_init (milligrams (mg))
buoyant_wt_final (milligrams (mg))
calcification_rate (percent (%))
linear_ext (micrometers (um))


[Odontesthes regia: 2023 common garden experiment] - Common garden experimental data on temperature effects in offspring of four Odontesthes regia populations collected along the Chilean coast from Sep to Oct 2023 (Expanding the silverside system to quantify how climate gradients determine co- and countergradient adaptation strength in the ocean)

To study patterns of local adaptation to latitudinal temperature gradients in the ocean, we conducted the first common garden experiment on the Chilean silverside (Odontesthes regia). Wild adult spawners from four locations (20 – 42°S) along the Chilean coast were used to produce offspring that was then reared in triplicates from fertilization to approximately 35 mm total lengths (TL) under a set of four common temperatures in the laboratory (11-23°C) and ad libitum feeding conditions. Larval and juvenile TL were measured via calibrated digital pictures (intermediate samples) or via calipers (final samples). Subsequently, the data will allow calculating population, temperature, and life-stage-specific growth capacities (i.e., TL growth rates at excess feeding conditions). This will reveal whether higher latitude populations have evolved genetically faster growth capacities than lower latitude populations – as has so far been shown only for northern hemisphere fishes. In addition, adults collected from each location were x-rayed to count the vertebrae of each specimen and subsequently test, whether lower latitude populations have fewer vertebrae on average than their higher latitude conspecifics – a phenomenon known as Jordan's Rule.

This dataset includes measurements of total length (TL) and wet weight (wW), developmental stage (Sample), individual ID, and key dates including fertilization, main hatching, and sampling. It also contains population information (Species, Population, PopLabel), collection site metadata (Longitude, Latitude), and specific conditions of the common garden experiment, such as temperature treatment (Temp), replicate number, and bucket ID.

The supplemental tables provide additional data including adult total length and collection metadata (Table 1), vertebral counts from x-ray images and associated metadata (Table 2), and high-resolution temperature records from each experimental treatment tank throughout the common garden experiment (Table 3).

cdm_data_type = Other
VARIABLES:
Species (unitless)
Population (unitless)
PopLabel (unitless)
... (12 more variables)


[OFP carbon and oxygen isotopes] - A compilation of newly measured as well as compiled d13C and d18O of carbonates for various types of samples (OCE-PRF:  Towards Quantifying Calcium Carbonate Sediment Dissolution During Marine Diagenesis)

This dataset contains a compilation of newly measured as well as compiled d13C and d18O of carbonates for various types of samples including bulk Oceanic Flux Program (OFP) sediment trap samples, fish carbonates, blue particles, picked foraminifera from the OFP traps, picked pteropods from the OFP traps, coccolithophores from culturing experiments, bryozoan and serpulid attached to sargassum seaweed, and red algae.

cdm_data_type = Other
VARIABLES:
Sample_ID_or_Common_name (unitless)
Species (unitless)
Sample_type (unitless)
latitude (degrees_north)
longitude (degrees_east)
Diet (unitless)
d13C (per mil with respect to VPDB)
d13C_stdev (per mil with respect to VPDB)
d18O (per mil with respect to VPDB)
O18_stdev (per mil with respect to VPDB)
Source (unitless)


[OFP Lipid Flux] - Fluxes of lipid biomarkers from the Oceanic Flux Program sediment trap time-series in the North Sargasso Sea from September to December 2016 (Time Series Particle Flux Measurements in the Sargasso Sea)

Fluxes of lipid biomarkers in the 1500 m and 3200 m Oceanic Flux Program sediment traps in the northern Sargasso Sea, before, during and after of Hurricane Nicole 2016 (Sep-Dec 2016)

cdm_data_type = Other
VARIABLES:
depth (m)
start_date (unitless)
end_date (unitless)
days_sampling (days)
poc_perc (unitless)
poc_flux (milligrams per meter squared per day (mg/m2/d))
total_lipid_perc (unitless)
total_lipid_flux (micrograms per meter squared per day (ug/m2/d))
tfa_flux (micrograms per meter squared per day (ug/m2/d))
sfa_flux (micrograms per meter squared per day (ug/m2/d))
mufa_flux (micrograms per meter squared per day (ug/m2/d))
flux_18_1w9_fa (micrograms per meter squared per day (ug/m2/d))
flux_18_1w7_fa (micrograms per meter squared per day (ug/m2/d))
pufas_flux (micrograms per meter squared per day (ug/m2/d))
flux_18_3w6_pufa (micrograms per meter squared per day (ug/m2/d))
flux_20_5w3_pufa (micrograms per meter squared per day (ug/m2/d))
flux_22_6w3_pufa (micrograms per meter squared per day (ug/m2/d))
odd_br_fa_flux (micrograms per meter squared per day (ug/m2/d))
tfal_flux (micrograms per meter squared per day (ug/m2/d))
mufal_flux (micrograms per meter squared per day (ug/m2/d))
odd_br_fal_flux (micrograms per meter squared per day (ug/m2/d))
tbeta_omega_1_hydroxyacids (micrograms per meter squared per day (ug/m2/d))
tsterols_stanols (micrograms per meter squared per day (ug/m2/d))
phytosterols (micrograms per meter squared per day (ug/m2/d))
nor27delta5_22e (micrograms per meter squared per day (ug/m2/d))
flux_27delta5_22e (micrograms per meter squared per day (ug/m2/d))
... (15 more variables)


[OIMB Pier Physical Data 2014-2016] - Physical data (sal, temp, wind, wave height) collected from January-March of 2014, 2015, and 2016 at the OIMB pier located in the Coos Bay entrance of the Oregon Coast (Spawning During Storms and the Subsequent Dispersal and Settlement of Coastal Invertebrate Larvae)

Physical data (sal, temp, wind, wave height) measured at the Oregon Institute of Marine Biology (OIMB) pier during 2014-2016.

cdm_data_type = Other
VARIABLES:
location (unitless)
latitude (degrees_north)
longitude (degrees_east)
year (unitless)
date (unitless)
tidal_ht (meters (m))
rainfall (inches)
sal (PSU)
temp (Temperature, degrees Celsius)
temp_tidbit (degrees Celsius)
wind_stress_alongshore (dynes)
wind_stress_cross_shore (dynes)
wave_ht_daily_avg (meters (m))
fluor (amps)
chl_a (Concentration Of Chlorophyll In Sea Water, milligrams per cubic meter (mg/m3))


[Ontogenetic patterns in respiration rate in Acartia tonsa] - Individual respiration rate measurements for developmental stages of Acartia tonsa during temperature experiments with copepods collected from eastern Long Island Sound in July of 2021 (Linking eco-evolutionary dynamics of thermal adaptation and grazing in copepods from highly seasonal environments)

The data contain individual respiration rate measurements for developmental stages of Acartia tonsa, collected from eastern Long Island Sound in July 2021. Individuals were exposed to either ambient or increased temperature as nauplii, and then tracked through development. At each developmental stage, respiration rate was measured for the individual using a PreSens respirometer. High resolution data on individual respiration rates through development are crucial for understanding how climate change may impact ecological and biogeochemical dynamics in aquatic systems. Data were collected by Mathew Holmes-Hackerd and Dr. Matthew Sasaki at the University of Connecticut.

cdm_data_type = Other
VARIABLES:
experiment_date (unitless)
experiment_day (unitless)
experiment_month (unitless)
experiment_year (unitless)
replicate (unitless)
individual (unitless)
stage (unitless)
vial (unitless)
resp_rate (milligrams Oxygen consumed per hour (mg O2/hr))
prosome_length (millimeters (mm))
treatment (unitless)
group (unitless)
sex (unitless)


[OOI Argentine Basin CTD and Water Sampling Data] - OOI Global Argentine Basin Array CTD and Discrete Water Sampling Data from Mooring Overturning Cruises in the Argentine Basin from 2015-2018 (OOI Cruise Data project) (OOI Discrete CTD and Water Sampling Cruise Data)

The hydrographic sampling performed by OOI-CGSN (the Ocean Observatories Initiative - Coastal and Global Scale Nodes) part of each Array turn represents a significant collection of valuable physical, chemical, and biological information. In addition to the CTD, collected hydrographic data include discrete oxygen, salinity, nutrient (nitrate, nitrite, silicate, phosphate, ammonium), chlorophyll, and carbon system measurements. These data serve several important functions. First, they are necessary for the calibration and evaluation of the moored instrumentation at each Array. Furthermore, the annual (Global) or biannual (Coastal) collection of data at the same locations provides a unique time series of a large set of water properties following established community standards and methods, independent of its association with the OOI moorings.

The analyses of collected water samples for the parameters listed above are performed by a number of outside labs on behalf of OOI-CGSN. Consequently, the water sampling data for a given cruise is distributed among a number of different files. The Discrete Sampling Summary integrates the related CTD, metadata, and discrete water sample data into a single file. Additionally, it synthesizes qualitative and quantitative information about the quality of a measurement into data quality flags for each associated parameter which follow WOCE-standards.

The final product is the Discrete Sampling Summary spreadsheet which contains the metadata, CTD data and discrete water sample data into a single spreadsheet with data quality flags.

This dataset includes hydrographic data from the Global Argentine Basin Array, which was located in the South Atlantic from March 2015 to January 2018. The Argentine Basin Array was useful for exploring the global carbon cycle because of its high biological productivity fueled by iron-laden dust from South America. With strong currents persisting on the seafloor and water mass mixing, this region has elevated levels of eddy kinetic energy similar to those in the Gulf Stream.

cdm_data_type = Other
VARIABLES:
Cruise (unitless)
Station (unitless)
Target_Asset (unitless)
... (76 more variables)


[OOI Irminger Sea CTD and Water Sampling Data] - OOI Global Irminger Sea Array CTD and Discrete Water Sampling Data from Mooring Overturning Cruises in the Irminger Sea from 2014-2023 (OOI Cruise Data project) (OOI Discrete CTD and Water Sampling Cruise Data)

The hydrographic sampling performed by The NSF Ocean Observatories Initiative Coastal and Global Scale Nodes(OOI CGSN) as part of each Array turn represents a significant collection of valuable physical, chemical, and biological information. In addition to the CTD, collected hydrographic data include discrete oxygen, salinity, nutrient (nitrate, nitrite, silicate, phosphate, ammonium), chlorophyll, and carbon system measurements. These data serve several important functions. First, they are necessary for the calibration and evaluation of the moored instrumentation at each Array. Furthermore, the annual (Global) or biannual (Coastal) collection of data at the same locations provides a unique timeseries of a large set of water properties following established community standards and methods, independent of its association with the OOI moorings.

The analysis of collected water samples for the parameters listed above are performed by a number of outside labs on behalf of OOI-CGSN. Consequently, the water sampling data for a given cruise is distributed among a number of different files. The Discrete Sampling Summary integrates the related CTD, metadata, and discrete water sample data into a single file. Additionally, it synthesizes qualitative and quantitative information about the quality of a measurement into data quality flags for each associated parameter which follow WOCE-standards.

The final product is the Discrete Sampling Summary spreadsheet which contains the metadata, CTD data, and discrete water sample data into a single spreadsheet with data quality flags.

This dataset includes hydrographic data from the Global Irminger Sea Array located in the North Atlantic to the southeast of Greenland.This region experiences high winds and large surface waves, strong atmosphere-ocean exchanges of energy and gases, carbon dioxide sequestration, high biological productivity, and an important fishery. It is one of the few places on Earth with deep-water formation that feeds the large-scale thermohaline circulation.

cdm_data_type = Other
VARIABLES:
Cruise (unitless)
Station (unitless)
Target_Asset (unitless)
... (77 more variables)


[OOI Southern Ocean Array CTD and Water Sampling Data] - OOI Global Southern Ocean Array CTD and Discrete Water Sampling Data from Mooring Overturning Cruises in the Southern Pacific Ocean from 2015-2020 (OOI Cruise Data project) (OOI Discrete CTD and Water Sampling Cruise Data)

The hydrographic sampling performed by OOI-CGSN (the Ocean Observatories Initiative - Coastal and Global Scale Nodes) part of each Array turn represents a significant collection of valuable physical, chemical, and biological information. In addition to the CTD, collected hydrographic data include discrete oxygen, salinity, nutrient (nitrate, nitrite, silicate, phosphate, ammonium), chlorophyll, and carbon system measurements. These data serve several important functions. First, they are necessary for the calibration and evaluation of the moored instrumentation at each Array. Furthermore, the annual (Global) or biannual (Coastal) collection of data at the same locations provides a unique time series of a large set of water properties following established community standards and methods, independent of its association with the OOI moorings.

The analyses of collected water samples for the parameters listed above are performed by a number of outside labs on behalf of OOI-CGSN. Consequently, the water sampling data for a given cruise is distributed among a number of different files. The Discrete Sampling Summary integrates the related CTD, metadata, and discrete water sample data into a single file. Additionally, it synthesizes qualitative and quantitative information about the quality of a measurement into data quality flags for each associated parameter which follow WOCE-standards.

The final product is the Discrete Sampling Summary spreadsheet which contains the metadata, CTD data and discrete water sample data into a single spreadsheet with data quality flags.

This dataset includes hydrographic data from the Global Southern Ocean Array. The Global Southern Ocean Array was located in the high-latitude South Pacific, west of the Southern tip of Chile in an area of large scale thermohaline circulation, intermediate water formation , and CO2 sequestration. It permitted examination of linkages between the Southern Ocean and the Antarctic, including strengthening westerly winds and upwelling. This array was in place from February 2015 to January 2020 when it was removed.

cdm_data_type = Other
VARIABLES:
Cruise (unitless)
Station (unitless)
... (77 more variables)


[OOI Station Papa CTD and Water Sampling Data] - OOI Global Station Papa Array CTD and Discrete Water Sampling Data from Mooring Overturning Cruises in the Gulf of Alaska from 2013 to 2023 (OOI Cruise Data project) (OOI Discrete CTD and Water Sampling Cruise Data)

The hydrographic sampling performed by OOI-CGSN (the Ocean Observatories Initiative - Coastal and Global Scale Nodes) as part of each Array turn represents a significant collection of valuable physical, chemical, and biological information. In addition to the CTD, collected hydrographic data include discrete oxygen, salinity, nutrient (nitrate, nitrite, silicate, phosphate, ammonium), chlorophyll, and carbon system measurements. These data serve several important functions. First, they are necessary for the calibration and evaluation of the moored instrumentation at each Array. Furthermore, the annual (Global) or biannual (Coastal) collection of data at the same locations provides a unique time series of a large set of water properties following established community standards and methods, independent of its association with the OOI moorings.

The analyses of collected water samples for the parameters listed above are performed by a number of outside labs on behalf of OOI-CGSN. Consequently, the water sampling data for a given cruise is distributed among a number of different files. The Discrete Sampling Summary integrates the related CTD, metadata, and discrete water sample data into a single file. Additionally, it synthesizes qualitative and quantitative information about the quality of a measurement into data quality flags for each associated parameter which follow WOCE-standards.

The final product is the Discrete Sampling Summary spreadsheet which contains the metadata, CTD data and discrete water sample data into a single spreadsheet with data quality flags.

This dataset includes hydrographic data from the Global Station Papa Array located in the Gulf of Alaska next to the NOAA Pacific Marine Environmental Laboratory (PMEL) Surface Buoy. The region is extremely vulnerable to ocean acidification, has a productive fishery, and low eddy variability. It is impacted by the Pacific Decadal Oscillation and adds to a broader suite of OOI and other observatory sites in the Northeast Pacific.

cdm_data_type = Other
VARIABLES:
Cruise (unitless)
Station (unitless)
Target_Asset (unitless)
... (77 more variables)


[Open cell and single-step titration method comparison] - Open cell and single-step method for total alkalinity titrations from samples collected on R/V Mirai cruises MR23-06C and MR23-07 in the North Pacific and Western Arctic from September to November 2023 (US GEOTRACES GP17-OCE and GP17-ANT: Inorganic Carbon Cycling in the South Pacific and Southern Oceans by Direct Measurement)

Duplicate samples were collected for total alkalinity on two cruises in 2023 aboard the R/V Mirai (MR23-06C and MR23-07) in order to compare two different methods of total alkalinity titrations: the open cell with non-linear least squares fitting and single step with spectrophotometric endpoint detection. Measurements of dissolved inorganic carbon and pH on the total scale were also made as quality control checks. GLODAPv2 hinted at a potential offset between laboratories in the Pacific Ocean. We hypothesized that if non-negligible amounts of organic alkalinity were present, the different methods could be titrating different amounts leading to differences between the methods. The results show that any offset is within the uncertainty of the analytical precision and presence of organic alkalinity in open ocean waters remains inconclusive.

cdm_data_type = Other
VARIABLES:
Cruise (unitless)
sample_ID (unitless)
Station (unitless)
Cast (unitless)
NiskinBottle_No (unitless)
Date (unitless)
time_unitless (Time, unitless)
time (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)
latitude (degrees_north)
longitude (degrees_east)
CTD_Salinity (unitless)
CTD_Salinity_flag (unitless)
Bottle_Salinity (unitless)
Bot_Sal_flag (unitless)
CTD_Pressure (decibars (db))
Total_Alkalinity_Single_Step_method (micromoles per kilogram of seawater (umol/kg_sw))
Total_Alkalinity_Single_Step_Method_flag (unitless)
Total_Alkalinity_Open_Cell_Method (micromoles per kilogram of seawater (umol/kg_sw))
Total_Alkalinity_Open_Cell_Method_Flag (unitless)
... (30 more variables)


[Open Mesocosm Oyster N2 and N2O] - Open Mesocosm Oyster 15N2 and N2O (Microbial Regulation of Greenhouse Gas N2O Emission from Intertidal Oyster Reefs)

Open Mesocosm Oyster 15N2 and N2O

cdm_data_type = Other
VARIABLES:
Hours (hours)
Phyto_15N (Phyto 15 N, percent)
O1_15N2 (O1 15 N2, permil (/ml))
O1_N2O (O1 N2 O, nanomole (nM))
O2_15N2 (O2 15 N2, permil (/ml))
O2_N2O (O2 N2 O, nanomole (nM))
O3_15N2 (O3 15 N2, permil (/ml))
O3_N2O (O3 N2 O, nanomole (nM))
C1_15N2 (C1 15 N2, permil (/ml))
C1_N2O (C1 N2 O, nanomole (nM))
C2_15N2 (C2 15 N2, permil (/ml))
C2_N2O (C2 N2 O, nanomole (nM))
C3_15N2 (C3 15 N2, permil (/ml))
C3_N2O (C3 N2 O, nanomole (nM))


[Organic Alkalinity Discrete Data] - Organic alkalinity data from estuary transects in Coastal Gulf of Maine (Pleasant, Maine; St. John, New Brunswick) in May and October of 2018 and 2019 (Collaborative Research: Organic Alkalinity: Impacts of the [OTHER] Alkalinity on Estuary and Coastal Ocean Chemistry)

Four organic alkalinity estuary transects, in May and October of 2018 and 2019, were completed in the Pleasant (Maine, USA) and St. John (New Brunswick, Canada) estuaries.  Discrete samples were collected at intervals of salinity along each estuary.  An underway measurements system was also operated during each transect (see "Related Datasets" section).  Discrete samples were analyzed via a number of methods described below.  Underway measurements were collected using the procedures described in Hunt et al. (2013).

Organic alkalinity is a poorly understood component of the estuarine and coastal ocean acid-base system.  This lack of understanding makes assessment of ocean acidification vulnerability and inorganic carbon dynamics more difficult.  However, the methods used to quantify organic alkalinity and its effects on the acid-base system are not standardized.  In this work we examined several approaches for the measurement of organic alkalinity, and their application to inorganic carbon dynamics.

cdm_data_type = Other
VARIABLES:
ID (unitless)
Collection_Date (unitless)
Collection_Time (unitless)
time (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)
Latitude (degrees_north)
longitude (degrees_east)
Salinity (unitless)
In_Situ_Water_Temperature (degrees Celcius)
pHT (unitless (total scale))
pH_Method (unitless)
pCO2 (microatmospheres)
DOC (micromoles carbon per liter)
T_Alk (micromoles per kilogram)
DIC (micromoles per kilogram)
OrgAlk_from_Endpoint_Titration (micromoles per kilogram)
... (9 more variables)


[Organic carbon content] - Organic carbon, d13C, and total nitrogen content of 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)

Organic carbon, d13C, and total nitrogen content of 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))
per_OC (percent (%))
per_N (percent (%))
d13C (D13 C, per mil (0/00))


[Organic matter composition of the dominant plants] - Organic matter composition of the dominant plants in and around three marsh ponds in PIE-LTER (Rowley, MA) from 2014. (Eutrophication Effects on Sediment Metabolism and Benthic Algal-bacterial Coupling: An Application of Novel Techniques in a LTER Estuary)

Organic matter composition of the dominant plant communities in and around three high marsh ponds within PIE-LTER. Data were collected in the summer of 2014.

cdm_data_type = Other
VARIABLES:
Plant (unitless)
Pond (unitless)
TOC (percent)
d13C (D13 C, per mil)
TN (percent)
d15N (D15 N, per mil)


[Organic Phosphorus NEXFS Standards] - Near Edge X-ray Fluorescence Spectroscopy Data for standard organic phosphorus compounds (P-NEXFS investigation of the influence of aerosol phosphorus on the Mediterranean Sea)

Near Edge X-ray Fluorescence Spectroscopy Data for standard organic phosphorus compounds.

cdm_data_type = Other
VARIABLES:
Energy (nd)
Two_aminoethylphosphonic_acid (x-ray fluorescence counts)
Ammonium_OO_diethyldithiophosphate (Mole Concentration Of Ammonium In Sea Water, x-ray fluorescence counts)
Ammonium_Polyphosphate (Mole Concentration Of Ammonium In Sea Water, x-ray fluorescence counts)
Adenosine_5prime_triphosphate (Mass Concentration Of Phosphate In Sea Water, x-ray fluorescence counts)
Glycerol_Phosphate (Mass Concentration Of Phosphate In Sea Water, x-ray fluorescence counts)
Hexametaphosphate (Mass Concentration Of Phosphate In Sea Water, x-ray fluorescence counts)
Polyphosphate_CL15 (Mass Concentration Of Phosphate In Sea Water, x-ray fluorescence counts)
Sodium_tripolyphosphate (Mass Concentration Of Phosphate In Sea Water, x-ray fluorescence counts)
O_Phospho_L_Serine (x-ray fluorescence counts)
O_Phosphorylethanolamine (x-ray fluorescence counts)
Propylenediphosphonic_Acid (x-ray fluorescence counts)
Phosphotidylcholine (x-ray fluorescence counts)
Phytic_Acid (x-ray fluorescence counts)


[Organic polymers and domoic acid] - Organic polymer formation and domoic acid adsorption from experiments conducted using water samples collected in northern Gulf of Mexico in 2018 and 2019 (The biotic and abiotic controls on the Silicon cycle in the northern Gulf of Mexico)

Organic polymer formation and domoic acid adsorption. Results from lab experiments designed to investigate organic polymer formation and domoic acid adsorption.  Water samples were collected in the northern Gulf of Mexico in 2018 and 2019.

cdm_data_type = Other
VARIABLES:
time (ISO Date Time UTC, seconds since 1970-01-01T00:00:00Z)
latitude (degrees_north)
longitude (degrees_east)
Date (unitless)
time2 (Time, unitless)
Experiment (unitless)
Treatment (unitless)
Replicate_bottle (unitless)
Replicate_subsample (unitless)
POC_mass (micrograms (µg))
pDA_OP_mass (P DA OP Mass, nanograms (ng))
POC_tox (parts per million (ppm))
DA_to_C (dimensionless)
POC_conc (micrograms (µg) per liter (L))
pDA_conc (P DA Conc, nanograms (ng) per liter (L))


[orgCN] - Particulate and dissolved organic carbon and nitrogen data from multiple cruises on R/V Wecoma, R/V Atlantis, and R/V New Horizon in the Northeast Pacific from 1997-2004 (GLOBEC NEP) (U.S. GLOBEC Northeast Pacific)

This dataset contains particulate and dissolved organic carbon and nitrogen data from the GLOBEC Northeast Pacific (NEP) Long-Term Observation Program (LTOP) cruises from 1997 to 2004. The nutrient and extracted chlorophyll data that correspond to this dataset can be also be found in the BCO-DMO database.\r\n\r\nFor further hydrographic information from all cruises, see cruise reports provided on the Northeast Pacific Long Term Observation Program website, or contact Dr. A Huyer at Oregon State University, COAS,104 COAS Admin. Bldg., Corvallis, OR, 97331-5503. All particulate and dissolved organic carbon and nitrogen data in this dataset include cruise station numbers to allow comparison with the hydrographic information found in other data reports.

cdm_data_type = Other
VARIABLES:
year (dimensionless)
cruise_id (dimensionless)
station_std (dimensionless)
station (dimensionless)
month_gmt (dimensionless)
day_gmt (dimesionless)
time_gmt (HHMM, 24-hr clock)
latitude (degrees_north)
longitude (degrees_east)
time (ISO Date Time UTC, seconds since 1970-01-01T00:00:00Z)
press (decibars)
temp (Temperature, degrees C)
sal (unknown)
TN (micromolar)
TOC (micromolar)
POC (Particulate Organic Carbon, micromolar)
PON (micromolar)
DOC (micromolar)
DON (micromolar)


[OSNAP Noble Gases 2016] - Noble gas concentrations from water samples collected in August and September 2016 during R/V Neil Armstrong cruise AR7-02 as part of the Overturning in the Subpolar North Atlantic Project (O-SNAP) (Tracking Greenland Melt in the Ocean Using Noble Gas Fingerprints)

This noble gas dataset was collected around Southern Greenland in August and September of 2016 aboard the R/V Neil Armstrong as part of the Overturning in the Subpolar North Atlantic Project (O-SNAP). Parameters include the concentrations of Helium (He), Neon (Ne), Argon (Ar), Krypton (Kr), Xenon (Xe), along with the co-located temperature, salinity, and pressure data from the CTD at the sample collection point. During the cruise, 391 noble gas water samples were collected, of which funding was available for 86 to be analyzed at Woods Hole Oceanographic Institution's Isotope Geochemistry Facility. Those processed samples are archived in this dataset. The 86 analyzed noble gas samples are concentrated along five sections across the shelfbreak on the east and west sides of Cape Farewell in southern Greenland. Noble gas samples were acquired from 10-liter Niskin bottles using gravity feed-through TYGON tubing to fill lengths of 5/8" copper refrigeration tubing (trapping ~45 grams water in replicate pairs), then each was hydraulically crimp sealed.

cdm_data_type = Other
VARIABLES:
station (unitless)
lat (degrees_north)
longitude (degrees_east)
time (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)
bottle (unitless)
pressure (decibars (dbar))
temperature (degrees Celsius)
salinity (PSU)
He3_sat_anomaly (percent (%))
Helium_concentration (moles per kilogram (mol/kg))
Neon_concentration (moles per kilogram (mol/kg))
Argon_concentration (moles per kilogram (mol/kg))
Krypton_concentration (moles per kilogram (mol/kg))
Xenon_concentration (moles per kilogram (mol/kg))


[Ostrea_Behavior_OA_Expt2017] - Oyster larvae vertical distribution data collected from laboratory water column experiments on the behavioral effects of ocean acidification on Olympia oyster larvae (Ostrea lurida), July 2017 (RUI: Will climate change cause 'lazy larvae'? Effects of climate stressors on larval behavior and dispersal)

Oyster larvae vertical distribution data collected from a laboratory water column experiments to investigate the behavioral effects of ocean acidification on Olympia oyster larvae (Ostrea lurida), July 2017.

cdm_data_type = Other
VARIABLES:
trial (unitless)
date (unitless)
column_name (unitless)
count_id (unitless)
height_cm (centimeters (cm))
middepth_cm (centimeters (cm))
larvae_count (larvae)
proportion_larvae (unitless)


[Ostrea_pH_OA_Expt2017] - pH measurements from laboratory water column experiments on the behavioral effects of ocean acidification on Olympia oyster larvae (Ostrea lurida), July 2017 (RUI: Will climate change cause 'lazy larvae'? Effects of climate stressors on larval behavior and dispersal)

This dataset contains pH measurements collected from a laboratory water column experiments to investigate the behavioral effects of ocean acidification on Olympia oyster larvae (Ostrea lurida).

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


[Otolith microstructure] - Otolith microstructure of young-of-year Atlantic silversides (Menidia menidia) from Mumford Cove during 2015 (Collaborative research: Understanding the effects of acidification and hypoxia within and across generations in a coastal marine fish)

Back-calculated age, hatch date, length-at-age, growth rate, and experienced temperature of young-of-year Atlantic silversides (Menidia menidia) collected during 3 successive collections in Mumford Cove, CT in fall 2015.

cdm_data_type = Other
VARIABLES:
Species (unitless)
Collection_Date (unitless)
Individual_number (unitless)
Total_length (centimeters (cm))
Total_length_class (centimeters (cm))
Total_length_group (unitless)
Sex (unitless)
Age (days post hatch)
Hatch_Date (unitless)
Biweekly_hatch_interval (unitless)
Hatch_check_radius (micrometer (um))
Otolith_size (micrometer (um))
Hatch_check_flag (unitless)
Otolith_flag (unitless)
Scaling_factor (unitless)
Increment_formation_date (unitless)
Temperature (degrees Celsius)
Increment (Number)
Increment_width (micrometer (um))
Length_at_age (millimeter (mm))
Growth_rate (millimeter per day (mm/d))


[OTU table for 18S rRNA gene tag sequences from DNA and RNA] - Operational taxonomic unit (OTU) table for 18S rRNA gene tag sequences from DNA and RNA from samples collected in coastal California in 2013 and 2014 (Protistan, prokaryotic, and viral processes at the San Pedro Ocean Time-series)

This dataset is a raw output operational taxonomic unit (OTU) table generated by processing and clustering raw 18S rRNA gene tag sequences from extracted DNA and RNA. Columns represent samples, including month sampled, material (either extracted RNA or DNA), and depth (in meters); thus values in each column represent the number of sequences in that sample that belong to a given OTU (OTUs by row). Each row represents a single OTU. The last column lists the taxonomic identifier assigned to each OTU. The raw sequence data can be found in the NCBI SRA database under accession number SRP070577 with the associated BioProject PRJNA311248.

cdm_data_type = Other
VARIABLES:
OTU_ID (unitless)
April_150m_DNA (unitless)
July_DCM_DNA (unitless)
April_890m_DNA (unitless)
Oct_DCM_DNA (unitless)
Oct_150m_DNA (unitless)
July_150m_DNA (unitless)
April_150m_cDNA (April 150m C DNA, unitless)
July_150m_cDNA (July 150m C DNA, unitless)
Jan_DCM_DNA (unitless)
Jan_150m_DNA (unitless)
April_CAT_DNA (unitless)
April_5m_DNA (unitless)
July_POLA_DNA (unitless)
July_CAT_DNA (unitless)
July_5m_DNA (unitless)
April_5m_cDNA (April 5m C DNA, unitless)
July_CAT_cDNA (July CAT C DNA, unitless)
July_5m_cDNA (July 5m C DNA, unitless)
Oct_CAT_DNA (unitless)
April_CAT_cDNA (April CAT C DNA, unitless)
... (29 more variables)


[OUTPACE - water column nitrate+nitrite] - Water column nitrate+nitrite d15N measurements from R/V L'Atalante in the southwest Pacific Ocean between New Caledonia and Tahiti from February to March 2015 (Quantifying nitrogen fixation along unique geochemical gradients in the southwest Pacific Ocean)

Constraining the rates and spatial distribution of di-nitrogen (N2) fixation fluxes to the ocean informs our understanding of the environmental sensitivities of N2 fixation as well as the timescale over which the fluxes of nitrogen (N) to and from the ocean may respond to each other. Here we quantify rates of N2 fixation as well as its contribution to export production along a zonal transect in the Western Tropical South Pacific (WTSP) Ocean using N isotope (\u201cd15N\u201d) budgets. Comparing measurements of water column nitrate+nitrite d15N with the d15N of sinking particulate N at a western, central, and eastern station, these d15N budgets indicate high, modest, and low rates of N2 fixation at the respective stations. The results also imply that N2 fixation supports exceptionally high, i.e., >50%, of export production at the western and central stations, which are also proximal to the largest iron sources. These geochemically-based rates of N2 fixation are equal to or greater than those previously reported in the tropical North Atlantic, indicating that the WTSP Ocean has the capacity to support globally significant rates of N2 fixation, which may compensate for N removal in the oxygen deficient zones of the eastern tropical Pacific.

cdm_data_type = Other
VARIABLES:
Date (unitless)
longitude (degrees_east)
latitude (degrees_north)
Station (unitless)
Cast (unitless)
depth (m)
Sigma_theta (Sea Water Sigma Theta, kilograms per meter cubed (kg/m3))
NO3_NO2 (micromole (uM))
NO3_NO2_d15N (NO3 NO2 D15 N, per mil)
NO3_NO2_d15N_1_SD (NO3 NO2 D15 N 1 SD, per mil)


[Outplant Experiment] - Littorina obtusata shell length, shell thickness, and tissue mass measured during a field experiment conducted at 12 sites in the Gulf of Maine from April to August 2021 (Local adaptation and the evolution of plasticity under predator invasion and warming seas: consequences for individuals, populations and communities)

This dataset includes measurements of shell length, shell thickness, and tissue mass from a field experiment that utilized 12 Littorina obtusata populations in the Gulf of Maine, with 6 in the northern Gulf and 6 in the southern Gulf.

cdm_data_type = Other
VARIABLES:
REGION (unitless)
SITE (unitless)
LATITUDE (degrees_north)
longitude (degrees_east)
TREAT (unitless)
REPLICATE_MESOCOSM (unitless)
Initial_Shell_Length_mm (millimeters (mm))
Initial_Shell_Thickness_mm (millimeters (mm))
Initial_Tissue_Mass_g (grams (g))
Final_Shell_Length_mm (millimeters (mm))
Final_Shell_Thickness_mm (millimeters (mm))
Final_Tissue_Mass_g (grams (g))


[Overall Seawater Temperature at Study Sites in the Gulf of Maine] - Seawater temperatures at high tide at study sites in the Gulf of Maine prior to, during, and after an outplant experiment that was conducted from April to August 2021 (Local adaptation and the evolution of plasticity under predator invasion and warming seas: consequences for individuals, populations and communities)

This dataset contains seawater temperatures at high tide at study sites prior to, during, and after an outplant experiment that was conducted from April to August 2021.

cdm_data_type = Other
VARIABLES:
REGION (unitless)
SITE (unitless)
LATITUDE (degrees_north)
longitude (degrees_east)
DATE (unitless)
TEMPERATURE (degrees Celsius)


[oxidative stress TEP] - Experimental results: Exopolymer production by phytoplankton under oxidative stress; conducted at the Thornton lab, TAMU from 2007-2012 (Diatom EPS Production project) (Effect of Temperature on Extracellular Polymeric Substance Production (EPS) by Diatoms)

Data from laboratory experiment on exopolymer production by the diatom Thalassiosira wessiflogii (CCMP 1051) and the cyanobacterium Synechococcus elongates_cf (CCMP 1379) under conditions of oxidative stress.

cdm_data_type = Other
VARIABLES:
species (dimensionless)
day (dimensionless)
H2O2 (H2 O2, micromolar (uM))
turbidity (NTU)
cell_conc (cells per milliliter (cells mL-1))
chla (Concentration Of Chlorophyll In Sea Water, micrograms per liter (ug L-1))
PSII (quantum yield of photosystem II)
caspase_like_activity (relative fluorescence units per milligrams protein per hour (RFU mg protein-1 h-1))
stained_cells_pcnt (percent (%))
TEP_conc (micrometers TEP per milliliter (um2 mL-1))
TEP_abund (TEP per milliliter (mL-1))
TEP_per_chla (Concentration Of Chlorophyll In Sea Water, square millimeters of TEP per nanogram of chla (mm2 (ng chl. a)-1))
CSP_conc (micrometers CSP per milliliter (um2 mL-1))
CSP_abund (CSP per milliliter (mL-1))
CSP_per_chla (Concentration Of Chlorophyll In Sea Water, square millimeters of CSP per nanogram of chlorophyll a (mm2 (ng chl. a)-1))


[Oxygen concentration] - Dissolved oxygen from 4 field sites in Bogue Sound, North Carolina from 2014 to 2015. (Microbial Regulation of Greenhouse Gas N2O Emission from Intertidal Oyster Reefs)

Dissolved oxygen from 4 field sites in Bogue Sound, North Carolina from 2014 to 2015.

cdm_data_type = Other
VARIABLES:
Season (unitless)
Site (unitless)
CoreName (Core Name, unitless)
CoreNo (Core No, unitless)
TimePt (Time Pt, unitless)
O2Flux (O2 Flux, milligrams per liter)


[Oxygen Consumption Rates of Iron Oxidizing Bacteria - FeOB] - Laboratory experiment data describing oxygen consumption of two strains of Mariprofundus ferrooxydans at two oxygen concentrations and one temperature (Sedimentary Iron Cycle project) (Collaborative Research: The Role of Iron-oxidizing Bacteria in the Sedimentary Iron Cycle: Ecological, Physiological and Biogeochemical Implications)

Laboratory experiment data describing oxygen consumption of two strains of Mariprofundus ferrooxydans at two oxygen concentrations and one temperature (Sedimentary Iron Cycle project)

cdm_data_type = Other
VARIABLES:
FeOB_strain (Fe OB Strain, unitless)
temp (Temperature, degrees celsius)
O2_conc (micromoles per liter)
treatment (unitless)
date_local (unitless)
time_local (unitless)
O2_consume (micromoles per liter)
yrday_local (decimal day)
time (ISO Date Time Local, seconds since 1970-01-01T00:00:00Z)


[Oxygen consumption rates] - Oxygen consumption rates/zero valent iron dissolution of FeOB with kanamycin addition - replacement samples (Collaborative Research: The Role of Iron-oxidizing Bacteria in the Sedimentary Iron Cycle: Ecological, Physiological and Biogeochemical Implications)

Oxygen consumption rates/zero valent iron dissolution of FeOB with kanamycin addition - replacement samples

cdm_data_type = Other
VARIABLES:
vial (unitless)
date (unitless)
time2 (Time, unitless)
treatment (unitless)
time_elapsed (minutes)
oxygen_concentration (umol/L)
time (ISO Date Time UTC, seconds since 1970-01-01T00:00:00Z)


[Oxygen Metrics] - Oxygen metrics for retinal function in marine invertebrate larvae determined with electroretinograms (Vision-mediated influence of low oxygen on the physiology and ecology  of marine larvae)

Oxygen metrics for retinal function in marine invertebrate larvae determined with electroretinograms

cdm_data_type = Other
VARIABLES:
Species (unitless)
Experiment_Name (unitless)
Metric (unitless)
O2_umol_l (micromole per liter (umol/L))
O2_ml_l (milliliter per liter (ml/l))
O2_umol_kg (micromole per kg (umol/kg))
O2_pO2 (O2 P O2, kiloPascale (kPa))


[Oyster Cohort Genetics] - DNA microsatellite alleles for hatchery-produced oyster cohorts (CAREER: Linking genetic diversity, population density, and disease prevalence in seagrass and oyster ecosystems)

DNA microsatellite alleles for hatchery-produced oyster cohorts.

cdm_data_type = Other
VARIABLES:
STUDY (unitless)
POPULATION (unitless)
SAMPLE_ID (unitless)
Cvi4313E_a (Cvi4313 E A, bp (base pairs))
Cvi4313E_b (Cvi4313 E B, bp (base pairs))
RUCV73_a (bp (base pairs))
RUCV73_b (bp (base pairs))
RUCV74_a (bp (base pairs))
RUCV74_b (bp (base pairs))
Cvi1i24b_a (bp (base pairs))
Cvi1i24b_b (bp (base pairs))
Cvi2i23_a (bp (base pairs))
Cvi2i23_b (bp (base pairs))
RUCV1_a (bp (base pairs))
RUCV1_b (bp (base pairs))
Cvi11_a (bp (base pairs))
Cvi11_b (bp (base pairs))
RUCV66_a (bp (base pairs))
RUCV66_b (bp (base pairs))
Cvi9_a (bp (base pairs))
Cvi9_b (bp (base pairs))
Cvi13_a (bp (base pairs))
Cvi13_b (bp (base pairs))
Cvi2k14_a (bp (base pairs))
Cvi2k14_b (bp (base pairs))
Cvi2j24_a (bp (base pairs))
Cvi2j24_b (bp (base pairs))


[Oyster Cohort Traits] - Performance traits (e.g., survival, growth, size) for hatchery-produced oyster cohorts (CAREER: Linking genetic diversity, population density, and disease prevalence in seagrass and oyster ecosystems)

Performance traits (e.g., survival, growth, size) for hatchery-produced oyster cohorts.

cdm_data_type = Other
VARIABLES:
Exp (unitless)
Site (unitless)
Eff_allelic_diversity (unitless)
Allelic_richness (Number of alleles)
Genetic_relatedness (unitless)
Cohort (unitless)
Final_avg_size (millimeters (mm))
Initial_avg_size (millimeters (mm))
Cage_alive (Number of oysters)
Cage_dead (Number of oysters)
Open_tile_alive (Number of oysters)
Open_tile_dead (Number of oysters)
Growth (millimeters (mm))


[Oyster counts] - Live oyster counts and shell heights (grouped by size class) for 4 field sites in Bogue Sound, North Carolina from 2015. (Microbial Regulation of Greenhouse Gas N2O Emission from Intertidal Oyster Reefs)

Live oyster counts and shell heights (grouped by size class) for 4 field sites in Bogue Sound, North Carolina from 2015.

cdm_data_type = Other
VARIABLES:
Site (unitless)
Bucket_Num (unitless)
Lengths_greater_than_25mm (count)
Total_Num_greater_than_25mm (count)
Num_Spat (count)
Total_Num_Spat (count)


[Oyster density and size distribution] - Oyster density and size distribution from the coast of North Carolina in 2010 (Microbial Regulation of Greenhouse Gas N2O Emission from Intertidal Oyster Reefs)

Oyster density and size distribution from the coast of North Carolina in 2010

cdm_data_type = Other
VARIABLES:
reef_ID (unitless)
habitat (unitless)
location (unitless)
latitude (degrees_north)
longitude (degrees_east)
bucket (unitless)
weight_ttl (kilograms)
weight_liveOyster (Weight Live Oyster, kilograms)
weight_shell (kilograms)
count (count)
density (count per meter)
length_avg (centimeters)
length_stDev (Length St Dev, unitless)
length_median (centimeters)


[Oyster mortality] - Database of oyster mortality based on body size treatment (CAREER: Linking genetic diversity, population density, and disease prevalence in seagrass and oyster ecosystems)

Database of oyster mortality based on body size treatment

cdm_data_type = Other
VARIABLES:
Plate_density (unitless)
Plate_replicate (unitless)
Cage_mesh_size (unitless)
Oyster_size_treatment (unitless)
Individual_oyster_size (unitless)
Individual_mortality (unitless)
Mode_of_mortality (unitless)


[Oyster spat site information] - Oyster spat site information from the Pamlico Sound, North Carolina from June to August 2012 (Interacting Effects of Local Demography and Larval Connectivity on Estuarine Metapopulation Dynamics)

This dataset contains site information for oyster spat settlement experiments conducted in Pamlico Sound, North Carolina in 2012.

cdm_data_type = Other
VARIABLES:
Site (unitless)
Code (unitless)
Lat (Latitude, degrees decimal minutes)
Long (Longitude, degrees decimal minutes)
latitude (degrees_north)
longitude (degrees_east)


[Oyster_Larvae_Length_FidalgoBay_2017] - Olympia oyster larvae length measurements from depth-specific sampling collected by boat in Fidalgo Bay, WA, during July 2017 (RUI: Will climate change cause 'lazy larvae'? Effects of climate stressors on larval behavior and dispersal)

This dataset includes Olympia oyster larvae length measurements from depth-specific sampling collected by boat in Fidalgo Bay, WA, during July 2017.

cdm_data_type = Other
VARIABLES:
time (Date Time UTC, seconds since 1970-01-01T00:00:00Z)
date_local (unitless)
time_local (unitless)
profile (unitless)
sample (unitless)
tide (unitless)
depth_seafloor_m (Depth, meters)
depth_sample_m (Depth, meters)
depth_des (Depth, unitless)
larvae_length_um (micrometers (um ))


[P. australis physiological data (Cluster experiments)] - Cluster (combined temperature, nutrient concentration, and CO2) results from laboratory experiments with Pseudo-nitzschia australis conducted from 2021 to 2022 (MCA: Developing transcriptomics as a tool to investigate toxic diatom responses to ocean heatwave and upwelling events)

These raw data contain physiological data collected from laboratory experiments with Pseudo-nitzschia australis.  This dataset includes results of cluster experiments of combined temperature, nutrient concentration, and CO2 in order to reflect upwelling, heatwaves, and extreme heatwaves in the natural environment.

See "Related Datasets" for other physiological measurements published as part of these experiments. See the results publication Kelley et al. (2003) for more detail.  The following description provides details for all related physiological measurement datasets.

These physiological measurements include: growth rates, domoic acid quotas, domoic acid production rates, net primary productivity, and nitrogen use efficiencies. Also included are pH and DIC measurement used to characterize the carbonate system.

These data revealed novel insights into P. australis bloom dynamics and may be useful to harmful algal bloom modelers and were collected and analyzed by Kyla Kelly, Amjad Mansour, Chen Liang, Andrew Kim, Lily Mancini, Dr. Matthew Bertin, Dr. Bethany Jenkins, Dr. David Hutchins, and Dr. Fei-Xue Fu.

cdm_data_type = Other
VARIABLES:
Treatment (unitless)
Replicate (unitless)
Growth_rate (per day (d-1))
Particulate_DA_perC (nanograms of domoic acid per micromole of carbon (ng DA/umol C))
Particulate_DA_perCell (nanograms of domoic acid per cell (ng DA/cell))
DA_production_rate (nanograms of domoic acid per micromole of carbon per day (ng DA/umol C/day))
Net_primary_productivity (per hour (h-1))
Nitrogen_use_efficiency (micromoles of carbon per micromoles of nitrogen per hour (umol C/umol N/hr))
Measured_DIC (miromoles per kilogram (umol/kg))
Measured_pH (total pH scale)
Calculated_bulk_alkalinity (miromoles per kilogram (umol/kg))
Calculated_pCO2 (microatmospheres (uatm))


[P. australis physiological data (CO2 experiments)] - CO2 experiment physiology and carbonate chemistry from laboratory experiments with Pseudo-nitzschia australis conducted from 2021 to 2022 (MCA: Developing transcriptomics as a tool to investigate toxic diatom responses to ocean heatwave and upwelling events)

These raw data contain physiological data collected from laboratory experiments with Pseudo-nitzschia australis.  This dataset includes replicate data for CO2 experiment physiology and carbonate chemistry.

See "Related Datasets" for other physiological measurements published as part of these experiments. See the results publication Kelley et al. (2003) for more detail.  The following description provides details for all related physiological measurement datasets.

These physiological measurements include: growth rates, domoic acid quotas, domoic acid production rates, net primary productivity, and nitrogen use efficiencies. Also included are pH and DIC measurement used to characterize the carbonate system.

These data revealed novel insights into P. australis bloom dynamics and may be useful to harmful algal bloom modelers and were collected and analyzed by Kyla Kelly, Amjad Mansour, Chen Liang, Andrew Kim, Lily Mancini, Dr. Matthew Bertin, Dr. Bethany Jenkins, Dr. David Hutchins, and Dr. Fei-Xue Fu.

cdm_data_type = Other
VARIABLES:
Treatment (unitless)
Replicate (unitless)
Growth_rate (per day (d-1))
Particulate_DA (nanograms of domoic acid per micromole of carbon (ng DA/umol C))
DA_production_rate (nanograms of domoic acid per micromole of carbon per day (ng DA/umol C/day))
Measured_DIC (miromoles per kilogram (umol/kg))
Measured_pH (total pH scale)
Calculated_bulk_alkalinity (miromoles per kilogram (umol/kg))
Calculated_pCO2 (microatmospheres (uatm))


[P. australis physiological data (N:P ratio experiments)] - N:P ratio data from laboratory experiments with Pseudo-nitzschia australis (MCA: Developing transcriptomics as a tool to investigate toxic diatom responses to ocean heatwave and upwelling events)

These raw data contain physiological data collected from laboratory experiments with Pseudo-nitzschia australis.  This dataset includes N:P ratio data from these experiments.

In this 3x2 matrix experiment, we compared each N:P ratio (5, 10, and 50), temperature (13 and 19°C), and total nutrient concentration (high and low) at every combination.

See "Related Datasets" for other physiological measurements published as part of these experiments. See the results publication Kelley et al. (2023) for more detail.  The following description provides details for all related physiological measurement datasets.

These physiological measurements include: growth rates, domoic acid quotas, domoic acid production rates, net primary productivity, and nitrogen use efficiencies. Also included are pH and DIC measurement used to characterize the carbonate system.

These data revealed novel insights into P. australis bloom dynamics and may be useful to harmful algal bloom modelers and were collected and analyzed by Kyla Kelly, Amjad Mansour, Chen Liang, Andrew Kim, Lily Mancini, Dr. Matthew Bertin, Dr. Bethany Jenkins, Dr. David Hutchins, and Dr. Fei-Xue Fu.

cdm_data_type = Other
VARIABLES:
Treatment (unitless)
Replicate (unitless)
Growth_rate (per day (d-1))
Particulate_domoic_acid (nanograms of domoic acid per micromole of carbon (ng DA/umol C))


[P. australis physiological data (temperature experiments)] - Single-factor temperature experiment physiology and carbonate chemistry from laboratory experiments with Pseudo-nitzschia australis conducted from 2021 to 2022 (MCA: Developing transcriptomics as a tool to investigate toxic diatom responses to ocean heatwave and upwelling events)

These raw data contain physiological data collected from laboratory experiments with Pseudo-nitzschia australis.  This dataset includes replicate data for single-factor temperature experiment physiology and carbonate chemistry.

See "Related Datasets" for other physiological measurements published as part of these experiments. See the results publication Kelley et al. (2003) for more detail.  The following description provides details for all related physiological measurement datasets.

These physiological measurements include: growth rates, domoic acid quotas, domoic acid production rates, net primary productivity, and nitrogen use efficiencies. Also included are pH and DIC measurement used to characterize the carbonate system.

These data revealed novel insights into P. australis bloom dynamics and may be useful to harmful algal bloom modelers and were collected and analyzed by Kyla Kelly, Amjad Mansour, Chen Liang, Andrew Kim, Lily Mancini, Dr. Matthew Bertin, Dr. Bethany Jenkins, Dr. David Hutchins, and Dr. Fei-Xue Fu.

cdm_data_type = Other
VARIABLES:
Treatment (degrees Celsius (deg C))
Replicate (unitless)
Growth_rate (per day (d-1))
Particulate_DA (nanograms of domoic acid per micromole of carbon (ng DA/umol C))
DA_production_rate (nanograms of domoic acid per micromole of carbon per day (ng DA/umol C/day))


[P16 Repeat Hydrography Trace Metal Profiles] - Profiles of dissolved trace elements collected using a trace-metal clean rosette from surface to 1000m depth from two CLIVAR P16 cruises in 2005 and 2006 (Collaborative Research: Global Ocean Survey of Dissolved Iron and Aluminum and Aerosol Iron and Aluminum Solubility Supporting the Repeat Hydrography (CO2) Project)

Profiles of dissolved trace elements collected using a trace-metal clean rosette from surface to 1000m depth from two CLIVAR P16 cruises in 2005 and 2006.

cdm_data_type = Other
VARIABLES:
EXPOCODE (unitless)
STNNBR (unitless)
CASTNO (unitless)
SAMPNO (unitless)
DATE (unitless)
time2 (TIME, unitless)
latitude (degrees_north)
longitude (degrees_east)
CTDPRS (decibars)
CTDPRS_FLAG_W (unitless)
TEMPERATURE (degrees Celsius)
TEMPERATURE_FLAG_W (unitless)
SALNTY (psu)
SALNTY_FLAG_W (unitless)
OXYGEN (micromoles per kilogram (umol/kg))
OXYGEN_FLAG_W (unitless)
PHSPHT (micromoles per kilogram (umol/kg))
PHSPHT_FLAG_W (unitless)
SILCAT (micromoles per kilogram (umol/kg))
SILCAT_FLAG_W (unitless)
NITRAT (micromoles per kilogram (umol/kg))
NITRAT_FLAG_W (unitless)
NITRIT (micromoles per kilogram (umol/kg))
NITRIT_FLAG_W (unitless)
Mn (nanomoles per liter (nmol/L))
Mn_FLAG_W (unitless)
... (15 more variables)


[P_globosa_growth] - Results from metal limitation experiments (Cu, Zn, Fe, Mn) conducted in the prymensiophyte Phaeocystis globosa carried out in the Kustka and Allen labs at Rutgers in Newark, NJ from 2007-2011 (Expression profiling and functional genomics of a pennate diatom: Mechanisms of iron acquisition, stress acclimation, and recovery)

Results from metal limitation experiments (Cu, Zn, Fe, Mn) conducted in the prymensiophyte Phaeocystis globosa carried out in the Kustka and Allen labs at Rutgers in Newark, NJ from 2007-2011

cdm_data_type = Other
VARIABLES:
condition (dimensionless)
growth_rate_mean (ln(cell density)/day)
growth_rate_mean_sd (dimensionless)
p_fe_prime (dimensionless)
p_cu_prime (dimensionless)
p_mn_prime (dimensionless)
p_zn_prime (dimensionless)
replicate (dimensionless)
growth_rate (ln(cell density)/day)


[Pacific Nitrite Oxidoreductase] - Nitrite Oxidoreductase targeted metaproteomics from R/V Kilo Moana cruise KM1128 and R/V Falkor cruise FK160115 in the Central Pacific Ocean in 2011 and 2016 (Connecting Trace Elements and Metalloenzymes Across Marine Biogeochemical Gradients)

Nitrite Oxidoreductase targeted metaproteomics from R/V Kilo Moana cruise KM1128 and R/V Falkor cruise FK160115 in the Central Pacific Ocean in 2011 and 2016. NxrA and NxrB peptide concentrations in fmol/L. Peptide names are using the GEOTRACES naming convention (PEP for peptide, full tryptic peptide amino acid sequence, Protein name, Sampling device (=Pump)). Quality flags follow each peptide column and use the GEOTRACES convention of 1 for good, 6 for below detection limit.  These data were published in Saito et al., 2020 as Supplementary Table 1.

cdm_data_type = Other
VARIABLES:
Expedition (unitless)
Station (unitless)
Long (Longitude, decimal degrees)
longitude (degrees_east)
latitude (degrees_north)
McLane_cast (Mc Lane Cast, unitless)
McLane_time_local (Mc Lane Time Local, unitless)
time (Mc Lane ISO Date Time UTC, seconds since 1970-01-01T00:00:00Z)
depth (m)
PEP_LANQVALLDSIIR_NxrA_PUMP (PEP LANQVALLDSIIR Nxr A PUMP, femtomoles per liter (fmol/L))
PEP_LANQVALLDSIIR_NxrA_PUMP_FLAG (PEP LANQVALLDSIIR Nxr A PUMP FLAG, unitless)
PEP_GGTLVAVAPEYNPPATK_NxrA_PUMP (PEP GGTLVAVAPEYNPPATK Nxr A PUMP, femtomoles per liter (fmol/L))
PEP_GGTLVAVAPEYNPPATK_NxrA_PUMP_FLAG (PEP GGTLVAVAPEYNPPATK Nxr A PUMP FLAG, unitless)
PEP_MTIQWGK_NxrA_PUMP (PEP MTIQWGK Nxr A PUMP, femtomoles per liter (fmol/L))
PEP_MTIQWGK_NxrA_PUMP_FLAG (PEP MTIQWGK Nxr A PUMP FLAG, unitless)
PEP_LHPDDFIPGYK_NxrA_PUMP (PEP LHPDDFIPGYK Nxr A PUMP, femtomoles per liter (fmol/L))
PEP_LHPDDFIPGYK_NxrA_PUMP_FLAG (PEP LHPDDFIPGYK Nxr A PUMP FLAG, unitless)
PEP_ALIVNTPR_NxrA_PUMP (PEP ALIVNTPR Nxr A PUMP, femtomoles per liter (fmol/L))
PEP_ALIVNTPR_NxrA_PUMP_FLAG (PEP ALIVNTPR Nxr A PUMP FLAG, unitless)
PEP_TQFYNDEPEAIEYGENFIVHR_NxrA_PUMP (PEP TQFYNDEPEAIEYGENFIVHR Nxr A PUMP, femtomoles per liter (fmol/L))
PEP_TQFYNDEPEAIEYGENFIVHR_NxrA_PUMP_FLAG (PEP TQFYNDEPEAIEYGENFIVHR Nxr A PUMP FLAG, unitless)
PEP_GLWEPVR_NxrA_PUMP (PEP GLWEPVR Nxr A PUMP, femtomoles per liter (fmol/L))
... (17 more variables)


[Pacific Panama SST] - Sea surface temperature in Pacific Panama, 2016-2018 (Collaborative Research: Climate Change, Mesoscale Oceanography, and the Dynamics of Eastern Pacific Coral Reefs)

Sea surface temperature in Pacific Panama, 2016-2018.

cdm_data_type = Other
VARIABLES:
Gulf (unitless)
Site (unitless)
Date (unitless)
Local_Time (unitless)
Temperature (degrees Celsius)


[Palatability of algal species] - Feeding rates on and nutritional content of algal species collected in Antarctica, Fiji, and California. (Detecting genetic adaptation during marine invasions)

Feeding rates on and nutritional content of algal species collected in Antarctica, Fiji, and California.

cdm_data_type = Other
VARIABLES:
Division (unitless)
Order (unitless)
Family (unitless)
GenSpec (Gen Spec, unitless)
Location (unitless)
Collection_Site (unitless)
Zone (unitless)
Latitude_of_Collection (Latitude, decimal degrees)
Mean_Distribution_Latitude (Latitude, decimal degrees)
Ash_Free_Dry_Mass (percent per drymass)
Percent_Protein (percent per drymass)
Percent_Carbon (percent per drymass)
Percent_Nitrogen (percent per drymass)
Carbon_Nitrogen (ratio of absolute milligrams)
Percent_Phenolics (percent per drymass)
Crabs_PercentT (Crabs Percent T, percent)
Urchins_PercentT (Urchins Percent T, percent)
Wet_Mass (grams)
Dry_Mass (grams)
WM_DM (grams)


[Palatability of non-native alga] - Feeding rates on and nutritional content of non-native algal collected from Antarctica, Fiji, and California. (Detecting genetic adaptation during marine invasions)

Feeding rates on and nutritional content of non-native algal collected from Antarctica, Fiji, and California.

cdm_data_type = Other
VARIABLES:
Plant_ID (unitless)
Control_Initial_Weight_mg (milligrams)
Control_Final_Weight_mg (milligrams)
Control_Amphipod_Size_mm (millimeters)
No_Choice_Initial_Weight_mg (milligrams)
No_Choice_Final_Weight_mg (milligrams)
No_Choice_Amphipod_Size_mm (millimeters)
trt_ctrl_ratio (unitless)
mg_wm (milligrams)
mg_wm_corr (milligrams)
dm_wm_ratio (milligrams)
afdm_wm_ratio (miigrams)


[Palau carbonate chemistry] - Seawater carbonate chemistry from 13 sites in Palau collected from small boats in the Palauan archipelago from 2011-2013 (An Investigation of the Role of Nutrition in the Coral Calcification Response to Ocean Acidification)

Seawater carbonate chemistry from 13 sites in Palau collected from small boats in the Palauan archipelago from 2011-2013.

cdm_data_type = Other
VARIABLES:
site_name (dimensionless)
latitude (degrees_north)
longitude (degrees_east)
date (unitless)
time2 (Time, HHMM)
TA (micromoles per kilogram (umol/kg))
DIC (micromoles per kilogram (umol/kg))
sal (dimensionless)
temp (Temperature, degrees Celsius ( C))
pH (Sea Water Ph Reported On Total Scale, dimensionless)
pCO2 (P CO2, micro-atmospheres (uatm))
CO2_diss (micromoles per kilogram (umol/kg))
bicarbonate (micromoles per kilogram (umol/kg))
carbonate (micromoles per kilogram (umol/kg))
omega_Ca (dimensionless)
omega_Ar (dimensionless)
NH4 (Mole Concentration Of Ammonium In Sea Water, micromolar (uM))
PO4 (Mass Concentration Of Phosphate In Sea Water, micromolar (uM))
NO3_NO2 (Mole Concentration Of Nitrate In Sea Water, micromolar (uM))


[Palau Coral Reef Experiment 2018:  Pulse Amplitude Modulation (PAM) fluorometry] - Coral pulse amplitude modulation (PAM) fluorometry data from a heating experiment using samples collected from Nikko Bay and Rebotel Reef in Palau in the spring of 2018 (Collaborative Research: Stability, flexibility, and functionality of thermally tolerant coral symbioses)

Coral reefs surrounding Palau, Micronesia are living within a broad range of thermal habitats. Specifically, corals living on the offshore barrier reefs surrounding Palau reside in waters with low temperature variability compared to the much warmer and more acidic waters of near shore environments surrounding the Rock Island habitats.

This study was designed to test the differences in thermal physiology among two species of reef corals that reside at both of these locations. Specifically, we examined how short-term elevated temperature influences  the photochemistry of each coral species from each location before and after heating, as measured by active chlorophyll fluorescence recorded by pulse amplitude modulation (PAM) fluorometry.

cdm_data_type = Other
VARIABLES:
Location_Name (unitless)
longitude (degrees_east)
latitude (degrees_north)
Species (unitless)
Date (unitless)
Day (unitless)
Treatment (unitless)
Location (unitless)
Colony (unitless)
Frag (unitless)
Symbiont (unitless)
Fq_Fm (unitless)
Fv_Fm (unitless)
Qm (unitless)


[Palau Coral Reef Experiment 2018: Biometrics] - Coral biometrics data from a heating experiment using samples collected from Nikko Bay and Rebotel Reef in Palau in the spring of 2018 (Collaborative Research: Stability, flexibility, and functionality of thermally tolerant coral symbioses)

Using samples collected from Nikko Bay and Rebotel Reef in Palau in the spring of 2018, this dataset examines coral physiology of two species of coral, Psammacora digitata and Pocillopora verrucosa, as part of a short-term heating experiment.

cdm_data_type = Other
VARIABLES:
Location_Name (unitless)
longitude (degrees_east)
latitude (degrees_north)
Species (unitless)
LSID (units)
Date (unitless)
Day (unitless)
Symbiont (unitless)
Treatment (Degrees Celcius (°C))
Colony (unitless)
Cell_Density (number of cells per square centimeter of coral)
Chl_a (picograms chlorophyll a per algal cell)
Host_protein (micrograms soluble protein per square centimeter of coral skeleton)
Gross_photosynthesis (micrograms of oxygen per algal cell per hour)
Respiration (milligrams oxygen per milligrams animal protein per hour)
Photosynthesis_Respiration (unitless)


[Palau Coral Reef Experiment 2018: Isotopes] - Coral Isotope data from a heating experiment using samples collected from Nikko Bay and Rebotel Reef in Palau in the spring of 2018 (Collaborative Research: Stability, flexibility, and functionality of thermally tolerant coral symbioses)

Coral reefs surrounding Palau, Micronesia are living within a broad range of thermal habitats. Specifically, corals living on the offshore barrier reefs surrounding Palau reside in waters with low temperature variability compared to the much warmer and more acidic waters of near shore environments surrounding the Rock Island habitats.

This study was designed to test the differences in thermal physiology among two species of reef corals that reside at both of these locations. Specifically, we examined how short-term elevated temperature influences  the uptake and assimilation of carbon and nitrogen isotopes into the symbiotic algae, the coral tissue, and the coral skeleton among these two coral species.

cdm_data_type = Other
VARIABLES:
Location_Name (unitless)
longitude (degrees_east)
latitude (degrees_north)
Species (unitless)
Sym (unitless)
Treatment (unitless)
Date (unitless)
Day (unitless)
Colony (unitless)
a_13catom (percent (%))
h_13catom (percent (%))
s_13catom (percent (%))
a_15natom (percent (%))
h_15natom (percent (%))


[Palau dissepiment counts] - Dissepiment counts obtained from staining experiment of Porites coral from Palau (Can Coral Reefs in the Central Pacific Survive Ocean Warming? A 2015 El Nino Test)

Dissepiment counts obtained from staining experiment of Porites coral from Palau.

cdm_data_type = Other
VARIABLES:
coral_id (unitless)
site (unitless)
latitude (degrees_north)
longitude (degrees_east)
density (grams per cubic centimeter (g cm-3))
extension (centimeters per year (cm yr-1))
calcification (grams per square centimeter per year (g cm-2 yr-1))
tissue_layer (millimeters (mm))
dissepiments_11_2013 (unitless (counts))
dissepiments_01_2015 (unitless (counts))
dissepiments_formed (unitless (counts))


[Palau Environmental: 2010] - Environmental data collected in marine lakes in Palau in 2010 from small boats (Do Parallel Patterns Arise from Parallel Processes?)

Environmental data collected in marine lakes in Palau in 2010 from small boats. Reported parameters include depth, temperature, conductivity, salinity, oxygen, pH, light, chlorophyll, phosphate, nitrite, ammonium, and nitrate.

cdm_data_type = Other
VARIABLES:
sample (unitless)
lake (unitless)
date (unitless)
latitude (degrees_north)
longitude (degrees_east)
depth (m)
temp (Temperature, degrees Celsius)
cond (milliSiemens per centimeter (mS/cm))
sal (ppt)
O2_diss (micromolar (uM))
pH (Sea Water Ph Reported On Total Scale, unitless)
chl (micrograms per liter (ug/L))
phosphate (Mass Concentration Of Phosphate In Sea Water, micromolar (uM))
nitrite (Mole Concentration Of Nitrite In Sea Water, micromolar (uM))
ammonium (Mole Concentration Of Ammonium In Sea Water, micromolar (uM))
nitrate (Mole Concentration Of Nitrate In Sea Water, micromolar (uM))


[Palau Environmental: 2011-2015] - Environmental sensor data collected in Palau marine lakes from small boats, 2011-2015 (Do Parallel Patterns Arise from Parallel Processes?)

Environmental sensor data describing Palau lake environments, 2011-2015. Reported parameters include depth, temperature, conductivity, salinity, oxygen, pH, light, and chlorophyll.

cdm_data_type = Other
VARIABLES:
lake_code (unitless)
year (unitless)
date_ISO (unitless)
face (unitless)
depth (m)
temperature (degrees Celsius)
conductivity (Sea Water Electrical Conductivity, microSiemans/centimeter (mS/cm))
salinity (Sea Water Practical Salinity, parts per thousand (ppt))
oxygen (milligrams/liter (mg/L))
pH (Sea Water Ph Reported On Total Scale, unitless)
PAR (Downwelling Photosynthetic Photon Radiance In Sea Water, micromol/second/meter^2  (umol s-1m-2))
CHL (micrograms/liter (ug/L))
method (unitless)


[Palau Lake Core Properties] - Core Logger Physical Properties for Palau Lakes Sediment Cores collected from small boats from September to October 2013 (Do Parallel Patterns Arise from Parallel Processes?)

Core Logger Physical Properties for Palau Lakes Sediment Cores collected from small boats from September to October 2013.

cdm_data_type = Other
VARIABLES:
Lake_Name (unitless)
Core (unitless)
latitude (degrees_north)
longitude (degrees_east)
Device (unitless)
time (Date Collected, seconds since 1970-01-01T00:00:00Z)
Logger_depth (meters (m))
LacCore_Section_ID (Lac Core Section ID, unitless)
Section_Depth (centimeters (cm))
MSCL_Sediment_Thickness (centimeters (cm))
MSCL_pWave_Amplitude (MSCL P Wave Amplitude)
MSCL_pWave_Velocity (MSCL P Wave Velocity, meters per second (m s-1))
MSCL_Gamma_Density (grams per cubic centimeter (g cm-3))
MSCL_MS_Loop (SI * 10-5)
MSCL_Impedance (meters per second (m/s) times grams per cubic centimeter (g/cm^3) (or: m g s-1 cm-3))
MSCL_Fractional_Porosity
MSCL_Electrical_Resistivity (Ohm-meters (Ohm*m))
MSCL_Temperature_Logging_Room (degress Celsius)
Original_Section_ID (unitless)


[Palau lakes physical description] - Physical description of marine lakes: surface area, distance to ocean, tidal efficiency, depth, and stratification (Do Parallel Patterns Arise from Parallel Processes?)

Physical description of marine lakes including surface area, distance to ocean, tidal efficiency, depth, and stratification.

cdm_data_type = Other
VARIABLES:
lake (unitless)
lake_code (unitless)
volume_m3 (meters^3)
surface_area_m2 (meters^2)
distance_to_ocean_min_m (meters)
distance_to_ocean_mean_m (meters)
distance_to_ocean_median_m (meters)
tidal_lag_time_minutes (minutes)
tidal_efficiency (unitless)
mean_transect_length_m (meters)
depth (Max Actual Depth M, m)
perimeter_m (meters)
habitable_surface_area_cylinder (meters^2)
habitable_surface_area_frustum (meters^2)
stratified (unitless)


[Palau lakes: invertebrate barcodes] - Specimen log with OTU identifiers collected from Palau marine lakes (Do Parallel Patterns Arise from Parallel Processes?)

List of all barcoded specimens of collected invertebrates with sequence name and OTU identifier collected from Palau marine lakes. FASTA files for major invertebrate groups are included in supplemental files.

cdm_data_type = Other
VARIABLES:
OTU_id (unitless)
ID (unitless)
lake_code (unitless)
SequenceName (Sequence Name, unitless)
Phylum (unitless)
Class (unitless)
Order (unitless)
Family (unitless)
Genus (unitless)
Species (unitless)
CRRF_ID (unitless)


[Palau lakes: tissue archive] - Marine lakes of Palau barcoded specimens from transect survey with both lab identification number (M0D#) and original tube number (Do Parallel Patterns Arise from Parallel Processes?)

Marine lakes of Palau barcoded specimens from transect survey with both lab identification number (M0D#) and original tube number. The purpose of this dataset is (1) to link unique identification numbers used in different circumstances and files, specifically tube ID used in the field and the M0D# identifier for the lab\u2019s permanent collection, and (2) to summarize the tissue samples collected during biodiversity surveys under this project.

cdm_data_type = Other
VARIABLES:
M0D (M0 D, unitless)
Tube_Number (unitless)
Field_assigned_phylum (unitless)
Instant_Field_ID (unitless)
lake_code (unitless)


[Palau lakes: voucher summary] - Voucher summary of invertebrates and barcoded OTU's with field identifications, collected from Palau marine lakes (Do Parallel Patterns Arise from Parallel Processes?)

Voucher summary of invertebrates and barcoded OTU's with field identifications, collected from Palau marine lakes.

cdm_data_type = Other
VARIABLES:
CRRF_ID (unitless)
Phylum (unitless)
Class (unitless)
Order (unitless)
Family (unitless)
Genus (unitless)
Species (unitless)
ID_name (unitless)
OTU_id (specimens)
lake_code (unitless)
comment (unitless)


[Palmer Station Nitrate Uptake] - Phytoplankton nitrate uptake rates collected during the 2012-2013 Palmer Field Season (WAP Carbon export project) (Quantifying Processes Driving Interannual Variability in the Biological Carbon Pump in the Western Antarctic Peninsula)

Uptake of nitrate by phytoplankton during the 2012-2013 field season of the Palmer LTER program near Anvers Island in the Western Antarctic Peninsula.  Nitrate uptake is a proxy for production based on “new” nitrogen entering the ecosystem and hence should balance export flux when integrated over sufficiently large spatial scales and long temporal scales.  Nitrate uptake was measured through the uptake of isotopically labeled nitrate, typically at 5 depts spanning the surface to 65 m depth.  Measurements were typically made twice per week through the ice-free summer phytoplankton growing season.

cdm_data_type = Other
VARIABLES:
Station (unitless)
latitude (degrees_north)
longitude (degrees_east)
Date (unitless)
Incubation_Start_Time (unitless)
ISO_DateTime_UTC (unitless)
depth (m)
Incubation_Light_Level (unitless)
Nitrate (micromoles per Liter (umol/L))
NO3_Uptake (micromoles per Liter per day (umol/L/day))


[Palmer Station Particulate Thorium] - Particulate organic carbon, nitrogen, and 234Th during the 2012-2013 Palmer Field Season (WAP Carbon export project) (Quantifying Processes Driving Interannual Variability in the Biological Carbon Pump in the Western Antarctic Peninsula)

Particle-bound Th-234 measurements and C:234Th ratios for particles (seston) collected during the 2012-2013 field season of the Palmer LTER program near Anvers Island in the Western Antarctic Peninsula.  Particle-bound Th-234 is a useful tracer for particle scavenging and sinking processes in the ocean.  Vertical profiles of particle-bound Th-234 and C:234Th ratios were measured approximately weekly.  Measurements typically spanned from the surface to a depth of 65 m.

cdm_data_type = Other
VARIABLES:
Station (unitless)
latitude (degrees_north)
longitude (degrees_east)
Date_Deployed_UTC (unitless)
Date_Deployed_Local (unitless)
Date_Recovered_Local (unitless)
depth (m)
Corg (milligrams of carbon per square meter per day (mg C/m^2/d))
standard_error_Corg (milligrams of carbon per square meter per day (mg C / m^2 / d))
N (milligrams of nitrogen per square meter per day (mg N/m^2/d))
standard_error_N (milligrams of nitrogen per square meter per day (mg N/m^2/d))
Corg_less_than_200 (milligrams of carbon per square meter per day (mg C/m^2/d))
standard_error_Corg_less_than_200 (milligrams of carbon per square meter per day (mg C/m^2/d))
Corg_greater_than_200 (milligrams of carbon per square meter per day (mg C/m^2/d))
standard_error_Corg_greater_than_200 (milligrams of carbon per square meter per day (mg C/m^2/d))
N_less_than_200 (milligrams of nitrogen per square meter per day (mg N/m^2/d))
standard_error_N_less_than_200 (milligrams of nitrogen per square meter per day (mg N/m^2/d))
N_greater_than_200 (milligrams of nitrogen per square meter per day (mg N/m^2/d))
N_greater_than_200_flag (unitless)
standard_error_N_greater_than_200 (milligrams of nitrogen per square meter per day (mg N/m^2/d))
standard_error_N_greater_than_200_flag (unitless)
Th234 (decays per minute per meter squared per day (dmp/m^2/d))
standard_error_Th234 (decays per minute per meter squared per day (dmp/m^2/d))


[Palmer Station Sediment Trap] - Particulate organic carbon, nitrogen, and Thorium-234 measurements collected during the 2012-2013 Palmer Field Season (WAP Carbon export project) (Quantifying Processes Driving Interannual Variability in the Biological Carbon Pump in the Western Antarctic Peninsula)

Sinking organic carbon, nitrogen, and Th-234 fluxes measured using bottom-tethered, VERTEX-style sediment traps during the 2012-2013 field season of the Palmer LTER program near Anvers Island in the Western Antarctic Peninsula.  These flux measurements allow investigation of the ocean's biological carbon pump.  Sediment trap deployments span the ice-free season near Anvers Island.  Deployments lasted between 2 and 8 days, depending on ocean conditions.

cdm_data_type = Other
VARIABLES:
Station (unitless)
latitude (degrees_north)
longitude (degrees_east)
Date_Deployed (unitless)
Date_Recovered (unitless)
depth (m)
Corg (milligrams of carbon per square meter per day (mg C/m^2/d))
standard_error_Corg (milligrams of carbon per square meter per day (mg C / m^2 / d))
N (milligrams of nitrogen per square meter per day (mg N/m^2/d))
standard_error_N (milligrams of nitrogen per square meter per day (mg N/m^2/d))
Corg_less_than_200 (milligrams of carbon per square meter per day (mg C/m^2/d))
standard_error_Corg_less_than_200 (milligrams of carbon per square meter per day (mg C/m^2/d))
Corg_greater_than_200 (milligrams of carbon per square meter per day (mg C/m^2/d))
standard_error_Corg_greater_than_200 (milligrams of carbon per square meter per day (mg C/m^2/d))
N_less_than_200 (milligrams of nitrogen per square meter per day (mg N/m^2/d))
standard_error_N_less_than_200 (milligrams of nitrogen per square meter per day (mg N/m^2/d))
N_greater_than_200 (milligrams of nitrogen per square meter per day (mg N/m^2/d))
N_greater_than_200_flag (unitless)
standard_error_N_greater_than_200 (milligrams of nitrogen per square meter per day (mg N/m^2/d))
standard_error_N_greater_than_200_flag (unitless)
Th234 (decays per minute per meter squared per day (dmp/m^2/d))
standard_error_Th234 (decays per minute per meter squared per day (dmp/m^2/d))


[Palmer Station Size Fractionated Particulate Thorium] - Size Fractionated Particulate Thorium-234 measurements collected during the 2012-2013 Palmer Field Season (Quantifying Processes Driving Interannual Variability in the Biological Carbon Pump in the Western Antarctic Peninsula)

Particle-bound Th-234 measurements and C:234Th ratios for size-fractionated particles collected during the 2012-2013 field season of the Palmer LTER program near Anvers Island in the Western Antarctic Peninsula.  Particle-bound Th-234 is a useful tracer for particle scavenging and sinking processes in the ocean.  Particles were sampled from 0, 10, 20, or 30 m depth and filtered through a 50-µm sieve before being concentrated onto a GF/F filter for carbon and Th-234 analyses.

cdm_data_type = Other
VARIABLES:
Station (unitless)
latitude (degrees_north)
longitude (degrees_east)
Collection_Time (unitless)
depth (m)
Particulate_Th234 (decays per minute per minute per liter (dmp/min/L))
Uncertainty (decays per minute per minute per liter (dmp/min/L))
C (miligrams of carbon per cubic meter (mg C/m^-3))
N (miligrams of carbon per cubic meter (mg C/m^-3))
N_flag (unitless)


[Palmer Station Thorium] - Total water column Thorium-234 measurements collected during the 2012-2013 Palmer Field Season (WAP Carbon export project) (Quantifying Processes Driving Interannual Variability in the Biological Carbon Pump in the Western Antarctic Peninsula)

Total water-column Th-234 measurements collected during the 2012-2013 field season of the Palmer LTER program near Anvers Island in the Western Antarctic Peninsula.  238U-234Th disequilibrium is used as a proxy for sinking particle flux out of the upper ocean.  Vertical profiles of 234Th were measured using standard small-volume techniques approximately weekly.  Measurements typically spanned from the surface to a depth of 100 m.

cdm_data_type = Other
VARIABLES:
Station (unitless)
latitude (degrees_north)
longitude (degrees_east)
Collection_Date_and_Time (unitless)
depth (m)
Salinity (PSU)
Density (kilogram per liter (kg/L^-1))
Th234 (decays per minute per liter (dpm/L^-1))
Uncertainty (decays per minute per liter (dpm/L^-1))
Deficiency (decays per minute per liter (dpm/L^-1))
Def_Uncertainty (decays per minute per liter (dpm/L^-1))


[PANDORA Total column nitrogen dioxide] - Total column nitrogen dioxide (NO2) measured measured during DANCE cruise HRS1414 aboard the R/V Hugh R. Sharp from July to August 2014. (Collaborative Research: Impacts of atmospheric nitrogen deposition on the biogeochemistry of oligotrophic coastal waters)

Total column nitrogen dioxide (NO2) measured measured during DANCE cruise HRS1414 aboard the R/V Hugh R. Sharp from July to August 2014.

cdm_data_type = Other
VARIABLES:
Station_ID (no units)
latitude (degrees_north)
longitude (degrees_east)
Date_Time (no units)
Samp_time (seconds)
Zenith (degrees)
Azimuth (degrees)
rms_unweighted (no units)
rms_weighted (no units)
NO2_vert (Mole Concentration Of Nitrite In Sea Water, Dobson units)
NO2_uncert (Mole Concentration Of Nitrite In Sea Water, Dobson units)
NO2_dir_sun (Mole Concentration Of Nitrite In Sea Water, no units)
err_index (no units)
Temp (Temperature, degrees Celsius)
Res_stray_light (percent)
Wavelength_shift (nanometers (nm))
Filterwheel_pos (no units)
Result_index (no units)
NO2_temp (Mole Concentration Of Nitrite In Sea Water, degrees Kelvin (K))
NO2_temp_uncert (Mole Concentration Of Nitrite In Sea Water, degrees Kelvin (K))


[PANDORA Total column ozone] - Total column ozone (O3) measured measured during DANCE cruise HRS1414 aboard the R/V Hugh R. Sharp from July to August 2014. (Collaborative Research: Impacts of atmospheric nitrogen deposition on the biogeochemistry of oligotrophic coastal waters)

Total column ozone (O3) measured measured during DANCE cruise HRS1414 aboard the R/V Hugh R. Sharp from July to August 2014.

cdm_data_type = Other
VARIABLES:
Station_ID (no units)
latitude (degrees_north)
longitude (degrees_east)
Date_Time (no units)
Samp_time (seconds)
Zenith (degrees)
Azimuth (degrees)
rms_unweighted (no units)
rms_weighted (no units)
O3_vert (Dobson units)
O3_uncert (Dobson units)
O3_dir_sun (no units)
err_index (no units)
Temp (Temperature, degrees Celsius)
Res_stray_light (percent)
Wavelength_shift (nanometers (nm))
Filterwheel_pos (no units)
Result_index (no units)
O3_temp (degrees Kelvin (K))
O3_temp_uncert (degrees Kelvin (K))


[PAR data] - PAR data from stable isotope experiments conducted in Massachusetts from 2012. (Eutrophication Effects on Sediment Metabolism and Benthic Algal-bacterial Coupling: An Application of Novel Techniques in a LTER Estuary)

PAR data from stable isotope experiments conducted in Massachusetts from 2012.

cdm_data_type = Other
VARIABLES:
date (unitless)
time (ISO Date Time UTC, seconds since 1970-01-01T00:00:00Z)
time2 (Time, unitless)
PAR_H2O (PAR H2 O, nmol photons m-2 s-1)
PAR_daytime (nmol photons m-2 s-1)
PAR_lnH2O (PAR Ln H2 O, log)
PAR_lndaytime (log)


[Parasite abundance in coral reef fishes] - Parasite abundance data collected from coral reef fishes across 19 islands in the central equatorial Pacific from 2009 to 2021 (Collaborative Research: Decomposing the effects of diversity on the abundance of marine parasites)

The loss of biological diversity is considered one of the principal environmental challenges of the 21st century, and there are hints that this massive reorganization of food webs could affect how parasites are transmitted among hosts. Parasites are often hidden and can be easy to overlook, but they are ecologically important and ubiquitous - so it is important to understand whether we should expect more or fewer of them as biodiversity disappears. Does biodiversity loss increase the abundance of parasites by eroding natural "checks and balances" on transmission? Or does it decrease parasite abundance by removing the free-living biodiversity on which parasites depend? Answers to these questions are urgently needed if we are to mitigate or prevent an uptick in parasite transmission for ecosystems experiencing biodiversity loss.

In a joint collaborative research project among the University of Washington, Scripps Institution of Oceanography at UC San Diego, and California State University Monterey Bay, we created a parasite dataset of unprecedented size and taxonomic resolution. We sampled parasites of coral reef fishes from 19 replicate islands in the central equatorial Pacific to study how biodiversity and parasite burden covary.

In this dataset, we present all of the data we collected on parasite abundance in coral reef fishes. We sampled 17 species (Acanthurus nigricans, Cephalopholis argus, Cephalopholis urodeta, Chromis iomelas, Chromis margaritifer, Ctenochaetus marginatus, Ctenochaetus striatus, Paracirrhites arcatus, Plectroglyphidodon dickii, Pseudanthias bartlettorum, Pseudanthias dispar, Pseudanthias mooreanus, Pseudanthias olivaceus, Pseudanthias pascalus, Pseudanthias spp., Stegastes aureus, Stegastes fasciolatus) across three archipelagos and 19 islands (Jarvis, Kingman, Kiritimati, Palmyra, Tabuaeran, and Teraina in the Northern Line Islands; Flint, Malden, Millennium, Starbuck, and Vostok in the Southern Line Islands; Huahine, Moorea, Raiatea, Rangiroa, Tahiti, Takapoto, Tetiaroa, and Tikehau in French Polynesia), for a total of 5,251 fish. These 17 broadly distributed host species represent a large spectrum of body sizes, including multiple taxonomic and trophic groups. Included in the dataset are specimens collected from expeditions mounted in 2009, 2010, 2011, 2013, 2019, 2020, and 2021.

Fish were collected with three-pronged spears and hand-nets, individually labeled and bagged, and frozen for transport before being thawed and evaluated for parasites. Parasitological dissections were designed to detect all multi-cellular (i.e., metazoan) parasites other than myxozoans, but would not have detected viral, bacterial, protozoal, or fungal parasites. Parasites were identified to the lowest possible taxonomic level and grouped into their broad parasite taxonomic grouping (i.e., Acanthocephalan, Cestoda, Copepoda, Isopoda, Monogenea, Other Crustacea, Trematoda, Nematoda) and transmission strategy (i.e., complex life cycle versus direct transmission).

cdm_data_type = Other
VARIABLES:
fish_unique_code (units)
... (19 more variables)


[Parasite flow cytometry data] - Cell concentrations, percent of host infected, and bulk dissolved organic carbon (DOC) from laboratory experiments examining parasite-host metabolites in 2023 (Characterizing plankton parasite-host metabolites and the response of heterotrophic bacteria)

Laboratory experiments were carried out to characterize plankton infection dynamics and extracellular metabolites over an infection cycle in two parasite-host pairings. Data reported here are cell concentrations, percent of host infected, and bulk DOC concentrations measured daily over an infection cycle (four days) that coincides with collection of extracellular metabolites for analysis via liquid chromatography-mass spectrometry. Separate experiments were performed for two strains of the parasite Amoebophyra sp. (4390 and 4401) that infected the same host dinoflagellate species, Scrippsiella acuminata. Metabolomics data collected from these experiments will be available on MetaboLights (MTBLS11219).

cdm_data_type = Other
VARIABLES:
Sample_name (unitless)
Infection_experiment (unitless)
Treatment (unitless)
time_elapsed (Time, days)
Replicate (unitless)
Date (unitless)
Cell_concentration_host (Cells per ml (cells mL-1))
Cell_concentration_spore (Cells per ml (cells mL-1))
Percent_infected (Percent infected hosts (%))
DOC_concentration (Milligrams per liter (mg L-1))


[Parental contribution] - Cyprinodon variegatus offspring growth rate from parental contribution experiments conducted on wild caught Atlantic specimens during 2014. (Beyond maternal effects: Transgenerational plasticity in thermal performance)

Cyprinodon variegatus offspring growth rate from parental contribution experiments conducted on wild caught Atlantic specimens during 2014.

cdm_data_type = Other
VARIABLES:
MomID (Mom ID, unitless)
DadID (Dad ID, unitless)
MomL (Mom L, millimeters)
DadL (Dad L, millimeters)
MomT (Mom T, degrees Celsius)
DadT (Dad T, degrees Celsius)
OffspringT (Offspring T, degrees Celsius)
Sex (unitless)
GR (millimeter per day)
WK2 (millimeters)
Mass (gram)
Gonad (gram)
GSI (percent)


[Park phase data] - Float park phase data collected at depth 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)