[Water column Th-234 activities] - Water column Th-234 activities from 4-liter water samples at the Porcupine Abyssal Plain Sustained Observatory (PAP-SO) site in the Northeast Atlantic Ocean during RRS Discovery cruise DY077 in April of 2017 (Collaborative Research:   Are all traps created equal?  A multi-method assessment of the collection and detection of sinking particles in the ocean)

Summary:
Water column Th-234 activities from 4-liter water samples at the Porcupine Abyssal Plain Sustained Observatory (PAP-SO) site in the Northeast Atlantic Ocean during RRS Discovery cruise DY077 in April of 2017.

cdm_data_type = Other
VARIABLES:
deployment (unitless)
station (unitless)
cast (unitless)
bottle (unitless)
depth (m)
latitude (degrees_north)
longitude (degrees_east)
date (unitless)
time2 (Time, unitless)
time (ISO Date Time UTC, seconds since 1970-01-01T00:00:00Z)
U238_tot (disintegration per minute per liter (dpm/L))
U238_tot_err (disintegration per minute per liter (dpm/L))
Th234_tot (disintegration per minute per liter (dpm/L))
Th234_tot_err (disintegration per minute per liter (dpm/L))


[Water Mass Fractions - 160 yrs] - The fraction of water last ventilated in a given region in a time less than or equal to 160 years ago based on samples collected from R/V Knorr cruises KN199-04 and KN204-01 during 2010-2011 (U.S. GEOTRACES North Atlantic Transect)

Summary:
Water mass fractions and ages calculated from hydrographic and tracer data using a maximum-entropy inversion technique.\r\n\r\nThis dataset contains the fraction of water last ventilated in a given region in a time less than or equal to 160 years ago as well as the corresponding ensemble standard deviations.

cdm_data_type = Other
VARIABLES:
LBIR_Fraction (unitless (fraction))
LBIR_Fraction_Uncert (unitless (fraction))
AONG_Fraction (unitless (fraction))
AONG_Fraction_Uncert (unitless (fraction))
SPNA_Fraction (unitless (fraction))
SPNA_Fraction_Uncert (unitless (fraction))
STNA_Fraction (unitless (fraction))
STNA_Fraction_Uncert (unitless (fraction))
MED_Fraction (unitless (fraction))
MED_Fraction_Uncert (unitless (fraction))
NAAD_Fraction (unitless (fraction))
NAAD_Fraction_Uncert (unitless (fraction))
SAAD_Fraction (unitless (fraction))
SAAD_Fraction_Uncert (unitless (fraction))
OTHER_Fraction (unitless (fraction))
OTHER_Fraction_Uncert (unitless (fraction))
Ideal_Mean_Age (years)
Ideal_Mean_Age_Uncert (years)
depth (m)
latitude (degrees_north)
longitude (degrees_east)
Distance_East (kilometers (km))
Cruise_ID (unitless)
Station_No (unitless)
Cast_No (unitless)
Sample_Bottle (unitless)
Date (unitless)


[Water Mass Fractions - 39 yrs] - The fraction of water last ventilated in a given region in a time less than or equal to 39 years ago based on samples collected from R/V Knorr cruises KN199-04 and KN204-01 during 2010-2011 (U.S. GEOTRACES North Atlantic Transect)

Summary:
Water mass fractions and ages calculated from hydrographic and tracer data using a maximum-entropy inversion technique.\r\n\r\nThis dataset contains the fraction of water last ventilated in a given region in a time less than or equal to 39 years ago as well as the corresponding ensemble standard deviations.

cdm_data_type = Other
VARIABLES:
LBIR_Fraction (unitless (fraction))
LBIR_Fraction_Uncert (unitless (fraction))
AONG_Fraction (unitless (fraction))
AONG_Fraction_Uncert (unitless (fraction))
SPNA_Fraction (unitless (fraction))
SPNA_Fraction_Uncert (unitless (fraction))
STNA_Fraction (unitless (fraction))
STNA_Fraction_Uncert (unitless (fraction))
MED_Fraction (unitless (fraction))
MED_Fraction_Uncert (unitless (fraction))
NAAD_Fraction (unitless (fraction))
NAAD_Fraction_Uncert (unitless (fraction))
SAAD_Fraction (unitless (fraction))
SAAD_Fraction_Uncert (unitless (fraction))
OTHER_Fraction (unitless (fraction))
OTHER_Fraction_Uncert (unitless (fraction))
Ideal_Mean_Age (years)
Ideal_Mean_Age_Uncert (years)
depth (m)
latitude (degrees_north)
longitude (degrees_east)
Distance_East (kilometers (km))
Cruise_ID (unitless)
Station_No (unitless)
Cast_No (unitless)
Sample_Bottle (unitless)
Date (unitless)


[Water Mass Fractions - Ages] - Mean ventilation age reported for 7 regions of the Atlantic based on samples collected from R/V Knorr cruises KN199-04 and KN204-01 during 2010-2011 (U.S. GEOTRACES North Atlantic Transect)

Summary:
Water mass fractions and ages calculated from hydrographic and tracer data using a maximum-entropy inversion technique.\r\n\r\nThis dataset contains the fraction of water last ventilated in a given region in a time less than or equal to 39 years ago as well as the corresponding ensemble standard deviations.

cdm_data_type = Other
VARIABLES:
LBIR_Age (years)
LBIR_Age_Uncert (years)
AONG_Age (years)
AONG_Age_Uncert (years)
SPNA_Age (years)
SPNA_Age_Uncert (years)
STNA_Age (years)
STNA_Age_Uncert (years)
MED_Age (years)
MED_Age_Uncert (years)
NAAD_Age (years)
NAAD_Age_Uncert (years)
SAAD_Age (years)
SAAD_Age_Uncert (years)
OTHER_Age (years)
OTHER_Age_Uncert (years)
Ideal_Mean_Age (years)
Ideal_Mean_Age_Uncert (years)
depth (m)
latitude (degrees_north)
longitude (degrees_east)
Distance_East (kilometers (km))
Cruise_ID (unitless)
Station_No (unitless)
Cast_No (unitless)
Sample_Bottle (unitless)
Date (unitless)


[Water Mass Fractions - All Years] - The fraction of water last ventilated in a given region regardless of the time elapsed since ventilation (in practice, younger than 4000 years) based on samples collected from R/V Knorr cruises KN199-04 and KN204-01 during 2010-2011 (U.S. GEOTRACES North Atlantic Transect)

Summary:
Water mass fractions and ages calculated from hydrographic and tracer data using a maximum-entropy inversion technique.\r\n\r\nThis dataset contains the fraction of water last ventilated in a given region regardless of the time elapsed since ventilation (in practice, younger than 4000 years) as well as the corresponding ensemble standard deviations.

cdm_data_type = Other
VARIABLES:
LBIR_Fraction (unitless (fraction))
LBIR_Fraction_Uncert (unitless (fraction))
AONG_Fraction (unitless (fraction))
AONG_Fraction_Uncert (unitless (fraction))
SPNA_Fraction (unitless (fraction))
SPNA_Fraction_Uncert (unitless (fraction))
STNA_Fraction (unitless (fraction))
STNA_Fraction_Uncert (unitless (fraction))
MED_Fraction (unitless (fraction))
MED_Fraction_Uncert (unitless (fraction))
NAAD_Fraction (unitless (fraction))
NAAD_Fraction_Uncert (unitless (fraction))
SAAD_Fraction (unitless (fraction))
SAAD_Fraction_Uncert (unitless (fraction))
OTHER_Fraction (unitless (fraction))
OTHER_Fraction_Uncert (unitless (fraction))
Ideal_Mean_Age (years)
Ideal_Mean_Age_Uncert (years)
depth (m)
latitude (degrees_north)
longitude (degrees_east)
Distance_East (kilometers (km))
Cruise_ID (unitless)
Station_No (unitless)
Cast_No (unitless)
Sample_Bottle (unitless)
Date (unitless)


[Water temperature at coral reefs in Palau] - Water temperature measured at six coral reefs sites in Palau from 2021 to 2023 (Collaborative Research: How do selection, plasticity, and dispersal interact to determine coral success in warmer and more variable environments?)

Summary:
Water temperature was measured at six coral reef sites in Palau from 2021 to 2023. Loggers (Hobo Tidbit) were attached to threaded rods embedded in the reef using zip ties. Water temperature was measured every 30 minutes.

cdm_data_type = Other
VARIABLES:
ISO_DateTime_Local (unitless)
time (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)
Site (unitless)
Latitude (degrees_north)
longitude (degrees_east)
Temperature (degrees Celsius)


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

Summary:
Water temperature data from stable isotope labeling experiments conducted from 2012.

cdm_data_type = Other
VARIABLES:
month (unitless)
date (unitless)
time (ISO Date Time UTC, seconds since 1970-01-01T00:00:00Z)
time2 (Time, unitless)
sampleID (Sample ID, unitless)
bucket (unitless)
temp (Temperature, celsius)
lntemp (celsius)


[Water temperature for Palau corals] - Water temperature records for Acropora hyacinthus coral colonies located in either patch or fore reefs of the Palau Archipeglo from November 2017 to January 2020 (Predicting the global location of heat tolerant corals: Palau patch reefs as a general model)

Summary:
Water temperature records for Acropora hyacinthus coral colonies located in either patch or fore reefs of the Palau Archipeglo from November 2017 to July 2018.

cdm_data_type = Other
VARIABLES:
Collection_date_time (unitless)
time (ISO Date Time UTC, seconds since 1970-01-01T00:00:00Z)
Temperature (degrees Celsius)
Colony_tag (unitless)
latitude (degrees_north)
longitude (degrees_east)
Reef_number (unitless)
Reef_type (unitless)
Species (unitless)


[Water temperature] - Water temperature during coral calcification experiments conducted on Oahu, Hawaii from November of 2014 to November of 2015 (Will corals recover from bleaching under ocean acidification conditions?)

Summary:
Water temperature during coral calcification experiments conducted on Oahu, Hawaii from November of 2014 to November of 2015

cdm_data_type = Other
VARIABLES:
date_HST (unitless)
time_HST (unitless)
time (ISO Date Time UTC, seconds since 1970-01-01T00:00:00Z)
t1 (degrees Celsius)
t2 (degrees Celsius)
t3 (degrees Celsius)
t4 (degrees Celsius)
t5 (degrees Celsius)
t6 (degrees Celsius)
t7 (degrees Celsius)
t8 (degrees Celsius)


[WBTS Copepod abundance per m2] - Abundance of copepods in Wilkinson Basin Time Series Station, Gulf of Maine, 2005-2016 (Collaborative Research: Mechanisms supporting persistence of a key plankton species during climate change on the Northwest Atlantic continental shelf)

Summary:
copepod abundance WBTS 2005-2016

cdm_data_type = Other
VARIABLES:
Date (seconds since 1970-01-01T00:00:00Z)
NET_depth
Water_Depth
Num_Cfin_Id_subsample
Nauplii
CI
CII
CIII
CIV
CV
Female
Male
Calanus_finmarchicus
Calanus_hyperboreus
Paraeucheata_spp
Pseudocalanus_spp
Centropages_spp
Metridia_spp
Oithona_spp
Microcalanus_spp
Clauso_Para_Parvo_spp
Temora_spp
other_copepod_spp


[Weekly Calcification Rates] - Weekly coral calcification rates in the CO2 manipulation experiment conducted on Porites corals from Palau (Toward Predicting the Impact of Ocean Acidification on Net Calcification by a Broad Range of Coral Reef Ecosystems: Identifying Patterns and Underlying Causes)

Summary:
Weekly coral calcification rates in the CO2 manipulation experiment conducted on Porites corals from Palau.

cdm_data_type = Other
VARIABLES:
week (unitless)
CO2_treatment (unitless)
reef_omega_AR (unitless)
calc_rate (milligrams per square centimeter per week (mg/cm2/wk))
calc_rate_se (milligrams per square centimeter per week (mg/cm2/wk))


[Weekly Surface Water Samples] - Weekly surface water samples from Newport Pier, CA collected between 11 January 2012 and 3 November 2023 (Biological Controls on the Ocean C:N:P ratios)

Summary:
Weekly surface water samples from Newport Pier, CA, were collected between 11 January 2012 and 3 November 2023.

This project is a continuation of a time series with weekly surface water sampling from the Microbes in the Coastal Region of Orange County (MICRO) time series station at Newport Pier (33°36.37'N, 117°55.87'W). We measured dissolved nitrate and phosphate in the water, as well as particulate organic carbon, nitrogen and phosphorus.

These data were published in Fagan et al. (2019), Larkin et al. (2020), and a pending publication, Larkin et al. (in press).

cdm_data_type = Other
VARIABLES:
Date (unitless)
NO3_1 (micromolar (uM))
NO3_2 (micromolar (uM))
NO3_3 (micromolar (uM))
NO3_4 (micromolar (uM))
NO3_5 (micromolar (uM))
NO3_6 (micromolar (uM))
NO3_Avg (micromolar (uM))
SRP_1 (micromolar (uM))
SRP_2 (micromolar (uM))
SRP_3 (micromolar (uM))
SRP_4 (micromolar (uM))
SRP_5 (micromolar (uM))
SRP_6 (micromolar (uM))
SRP_Avg (micromolar (uM))
POP_1 (micromolar (uM))
POP_2 (micromolar (uM))
POP_3 (micromolar (uM))
... (31 more variables)


[Western Pacific Aerosol Data] - Inorganic nitrogen content; and nitrate, ammonium, and oxygen isotope composition of atmospheric particulates collected on Changdao Island, China from September 22, 2019 to September 5, 2020 (Collaborative Research: Characterization of Reactive Nitrogen in The North Pacific Atmosphere)

Summary:
These data include the content of total nitrogen, nitrate isotope (15N), ammonium isotope (15N), and oxygen isotope (17O and 18O) composition of atmospheric particulates collected on Changdao Island, China. Aerosol sampling was conducted from September 22, 2019 to September 5, 2020. A high-volume aerosol sampler (model 2031, Qingdao Laoying Environmental Technology Co) operating at 1.0 m3 min -1 with 25 × 20 cm filters was used. Recognizing the deposition of atmospheric particulates has the potential to understanding the important role of atmospheric deposition to the nitrogen cycle and biogeochemistry in the ocean. These data assess the contribution of atmospheric deposition to inorganic nitrogen and were collected by Dr. Ren Pen (pren@qnlm.ac) at the Ocean University of China.

cdm_data_type = Other
VARIABLES:
CollectionTime (unitless)
latitude (degrees_north)
longitude (degrees_east)
CollectionPeriod_Hrs (hours)
TotalAirVolume_m3 (cubic meters (m3))
ParticleWeight_g (grams (g))
AmmoniumConcentration_ugPerm3 (micrograms per cubic meter (µg/m3))
NitrateConcentration_ugPerm3 (micrograms per cubic meter (µg/m3))
NitriteConcentration_ugPerm3 (micrograms per cubic meter (µg/m3))
Delta15N_Nitrate (parts per thousand (permil) (‰))
Delta15N_Ammonium (parts per thousand (permil) (‰))
Delta18Oxygen_Nitrate (parts per thousand (permil) (‰))
Delta17O_Nitrate (parts per thousand (permil) (‰))


[Western Pacific Cruise Data] - Total organic carbon, total nitrogen content; and nitrate, ammonium and oxygen isotope composition of atmospheric particulates collected aboard R/V Dong Fang Hong-3 in the western North Pacific from October 31 to December 1, 2019. (Collaborative Research: Characterization of Reactive Nitrogen in The North Pacific Atmosphere)

Summary:
These data include the content of total organic carbon content, carbon isotope (13C and 14C), total nitrogen, nitrate isotope (15N), ammonium isotope (15N), and oxygen isotope (17O and 18O) composition of atmospheric particulates collected during western North Pacific Cruise. On-ship aerosol sampling was conducted on the R/V Dong Fang Hong-3 during a cruise to the western North Pacific from October 31 to December 1, 2019. Instruments used were two portable aerosol particle samplers (model 2030, Qingdao Laoying Environmental Technology Co.) with a filter size of 9 cm O.D. Recognizing the deposition of atmospheric particulates has the potential to understanding the important role of atmospheric deposition to the nitrogen cycle and biogeochemistry in the ocean. These data assess the contribution of atmospheric deposition to inorganic nitrogen and were collected by Chief Scientist Zaohui, Chen (chenzhaohui@ouc.edu.cn) at the Ocean University of China.

cdm_data_type = Other
VARIABLES:
Sample_Number (unitless)
Date (unitless)
Start_time (unitless)
time (Start_datetime_utc, seconds since 1970-01-01T00:00:00Z)
Sampling_period_h (hours (hrs))
latitude (degrees_north)
longitude (degrees_east)
Duplicate (unitless)
Total_Air_Volume_L (liter (L))
TotalAirVolume_m3 (cubmic meters (m3))
ParticleWeight_mg (miligrams (mg))
TOC_percent (percentage (%))
TN_percent (percentage (%))
C_N_Ratio (unitless)
Carbon13_12_Ratio (parts per thousand (permil) (‰))
Delta15N_Nitrate (parts per thousand (permil) (‰))
Delta15N_NH4 (parts per thousand (permil) (‰))
Delta18Oxygen_Nitrate (parts per thousand (permil) (‰))
Delta17O_Nitrate (parts per thousand (permil) (‰))


[Western Pacific Hawaii Aerosol Data] - Aerosol composition data of ion concentrations (ammonium, nitrate, nitrite, sodium, chloride, magnesium, calcium, potassium, sulfate); and ammonium and nitrate isotope (15N) of atmospheric particulates collected in Hawaii from March 2021 to August 2022 (Collaborative Research: Characterization of Reactive Nitrogen in The North Pacific Atmosphere)

Summary:
These data include aerosol composition data of ion concentrations (ammonium, nitrate, nitrite, sodium, chloride, magnesium, calcium, potassium, sulfate), and ammonium isotope (15N) of atmospheric particulates collected on Oahu, Hawaii. Aerosol sampling was conducted from March 2021 to June 2022 and collected roughly every seven days. A high-volume aerosol sampler operating at 1,200 L min-1 with 25 × 20 cm filters was used. Recognizing the deposition of atmospheric particulates has the potential to understanding the important role of atmospheric deposition to the nitrogen cycle and biogeochemistry in the ocean. These data assess the contribution of atmospheric deposition to inorganic nitrogen and were collected by Mitchell Pinkerton at the Ocean University of Hawaii.

cdm_data_type = Other
VARIABLES:
Sample_ID (unitless)
Date (unitless)
Collection_Location (units)
latitude (degrees_north)
longitude (degrees_east)
CollectionPeriod_Hrs (hours (hrs))
TotalAirVolume_m3 (Liter (L))
ParticleWeight_g (milligram (mg))
AmmoniumConcentration_ugPerm3 (micrograms per cubic meter (µg/m3))
NitrateConcentration_ugPerm3 (micrograms per cubic meter (µg/m3))
SodiumConcentration_ugPerm3 (micrograms per cubic meter (µg/m3))
PotassiumConcentration_ugPerm3 (micrograms per cubic meter (µg/m3))
MagnesiumConcentration_ugPerm3 (micrograms per cubic meter (µg/m3))
CalciumConcentration_ugPerm3 (micrograms per cubic meter (µg/m3))
ChlorideConcentration_ugPerm3 (micrograms per cubic meter (µg/m3))
SulfateConcentration_ugPerm3 (micrograms per cubic meter (µg/m3))
Delta15N_Ammonium (parts per thousand (permil) (‰))
Delta15N_Nitrate (parts per thousand (permil) (‰))


[Western Pacific Precipitation Data] - Total organic carbon and total nitrogen content; and nitrogen and oxygen isotope  composition of precipitation collected at Qindao, Yantai and Changdao Island, China from May 17, 2019 to August 31, 2020. (Collaborative Research: Characterization of Reactive Nitrogen in The North Pacific Atmosphere)

Summary:
These data include the content of total organic carbon content and total nitrogen, and nitrogen (15N) and oxygen (17O and 18O) isotope composition of precipitation collected at three fixed locations: Qindao (121°28'15" E, 31°37'21" N), Yantai (121°27'40" E, 37°31'20" N), and Changdao Island (120°45'20" E, 38°10'23" N) in China. the rainwater samples collected on the Changdao Island were via an automatic rainwater collector (Model XHARS30C, Jinshui Huayu Scientific Inc. Weifang, China), and all other rainwaters collected in Yantai and Qindao were via stainless buckets from May 17, 2019 to August 31, 2020. Recognizing the deposition from precipitation has the potential to understanding the important role of atmospheric deposition to the nitrogen cycle and biogeochemistry in the ocean. These data assess the contribution of atmospheric deposition to organic carbon and were collected by Dr. Ren Pen (pren@qnlm.ac) at the Ocean University of China.

cdm_data_type = Other
VARIABLES:
Date (unitless)
Site (unitless)
longitude (degrees_east)
latitude (degrees_north)
Duplicate (unitless)
AmmoniumConcentration_umolperL (micromoles per lieter (umol / L))
NitrateConcentration_umolperL (micromoles per lieter (umol / L))
NitriteConcentration_umolperL (micromoles per lieter (umol / L))
PhosphateConcentration_umolperL (micromoles per lieter (umol / L))
DissolvedSilicaConcentration_umolperL (micromoles per lieter (umol / L))
DINConcentration_umolperL (micromoles per lieter (umol / L))
TDNConcentration_umolperL (micromoles per lieter (umol / L))
DONConcentration_umolperL (micromoles per lieter (umol / L))
DOCConcentration_umolperL (micromoles per lieter (umol / L))
Delta15N_Nitrate (parts per thousand (permil) (‰))
Delta15N_Ammonium (parts per thousand (permil) (‰))
Delta18Oxygen_Nitrate (parts per thousand (permil) (‰))
Delta17Oxygen_Nitrate (parts per thousand (permil) (‰))


[Wetz-783256-Discrete] - Discrete hydrographic measurements - Effects of Hurricane Harvey on Estuarine Water Quality in the Lavaca-Colorado, Guadalupe and Nueces Estuaries between August 2017 and January 2018. (RAPID: Capturing the Signature of Hurricane Harvey on Texas Coastal Lagoons)

Summary:
Discrete hydrographic measurements of Lavaca-Colorado, Guadalupe and Nueces Estuaries on the Texas coast between August 2017 and January 2018.

cdm_data_type = Other
VARIABLES:
Date (unitless)
latitude (degrees_north)
longitude (degrees_east)
Times (unitless)
Site (unitless)
Replicate (unitless)
depth (m)
Chlorophyll (Concentration Of Chlorophyll In Sea Water, migrograms per liter (ug/L))
Conductivity (Sea Water Electrical Conductivity, mircosiemens per centimeter (µS/cm))
Salinity (Sea Water Practical Salinity, unitless)
DO (milligram per liter (mg/L))
DOPct (percentage (%))
pH (Sea Water Ph Reported On Total Scale, pH units)
Temp (Temperature, degrees celcius  (°C))
Secchi (meter (m))
DOC (Micromoles per Liter (umol/L))
TDN (Micromoles per Liter (umol/L))
TOC (Micromoles per Liter (umol/L))
TN (Micromoles per Liter (umol/L))
Ammonium (Mole Concentration Of Ammonium In Sea Water, Micromoles per Liter (umol/L))
N_N (Micromoles per Liter (umol/L))
Nitrite (Mole Concentration Of Nitrite In Sea Water, Micromoles per Liter (umol/L))
ortho_P (Micromoles per Liter (umol/L))
Silicate (Micromoles per Liter (umol/L))
Estuary (unitless)
time (ISO Date Time UTC, seconds since 1970-01-01T00:00:00Z)


[Wetz-783256-Sonde] - Sonde water quality measurements - Effects of Hurricane Harvey on Estuarine Water Quality in the Guadalupe Estuary between August 2017 and December 2017. (RAPID: Capturing the Signature of Hurricane Harvey on Texas Coastal Lagoons)

Summary:
Bottom and surface water quality sonde data of the Guadalupe Estuary site (Texas) between August 2017 and December 2017.

cdm_data_type = Other
VARIABLES:
Date (unitless)
time2 (Time, unitless)
latitude (degrees_north)
longitude (degrees_east)
Cond (micro siemens per cm (uS/cm))
Sal (unitless)
DOPct (percent (%))
DO (milligram per liter (mg/L))
pH (Sea Water Ph Reported On Total Scale, pH units)
Temp (Temperature, degrees Celsius (°C))
Sonde_WaterColumn_Location (Sonde Water Column Location, unitless)
time (ISO Date Time UTC, seconds since 1970-01-01T00:00:00Z)


[whales aerial sightings] - Right Whales aerial sightings in Cape Cod Bay and adjacent waters from the R/V Shearwater NEC-MB2002-1, 2002 (NEC-CoopRes project) (Northeast Consortium: Cooperative Research)

Summary:
Right Whales aerial sightings in Cape Cod Bay and adjacent waters from the R/V Shearwater NEC-MB2002-1, 2002 (Northeast Consortium Cooperative Research project).

cdm_data_type = Other
VARIABLES:
region
survey_id
year
month_local
day_local
yrday_local
duration (hours)
distance_nm (nautical miles)
tracks_completed
taxon
count
comments


[whales aerial tracklines] - Right Whales aerial surveillance tracklines over Cape Cod Bay and adjacent waters from the R/V Shearwater NEC-MB2002-1, 2002 (NEC-CoopRes project) (Northeast Consortium: Cooperative Research)

Summary:
Right Whales aerial surveillance tracklines over Cape Cod Bay and adjacent waters from the R/V Shearwater NEC-MB2002-1, 2002 (Northeast Consortium Cooperative Research project).

cdm_data_type = Other
VARIABLES:
region
region_line
line
year
date_local
latitude (degrees_north)
lat_2 (Latitude, decimal degrees)
longitude (degrees_east)
lon_2 (Longitude, decimal degrees)
distance_nm (nm)
comments


[whales historical id's] - Confirmed right whale identifications in Cape Cod Bay and adjacent waters and sighting histories, from the R/V Shearwater NEC-MB2002-1 (1998-2002), and historical records from 1980 (NEC-CoopRes project) (Northeast Consortium: Cooperative Research)

Summary:
Confirmed right whale identifications in Cape Cod Bay and adjacent waters and sighting histories, from the R/V Shearwater NEC-MB2002-1 (1998-2002), and historical records from 1980 (Northeast Consortium Cooperative Research project).

cdm_data_type = Other
VARIABLES:
year
whale_id
sex
region


[whales ship-based sightings] - Marine mammal sightings and hours at sea during vessel-based habitat sampling cruises of Cape Cod Bay and adjacent waters from the R/V Shearwater NEC-MB2002-1, 2002 (NEC-CoopRes project) (Northeast Consortium: Cooperative Research)

Summary:
Marine mammal sightings and hours at sea during vessel-based habitat sampling cruises of Cape Cod Bay and adjacent waters from the R/V Shearwater NEC-MB2002-1, 2002 (Northeast Consortium Cooperative Research project).

cdm_data_type = Other
VARIABLES:
region
cruiseid
hrs_at_sea
year
month_local
day_local
yrday_local (unitless)
species
count
comments


[whales_id's_2002] - Confirmed right whale identifications in Cape Cod Bay and adjacent waters from the R/V Shearwater NEC-MB2002-1, 2002 (NEC-CoopRes project) (Northeast Consortium: Cooperative Research)

Summary:
Confirmed right whale identifications in Cape Cod Bay and adjacent waters from the R/V Shearwater NEC-MB2002-1, 2002 (Northeast Consortium Cooperative Research project).

cdm_data_type = Other
VARIABLES:
region
whale_id
sex (dimensionless)
age (years)
yrday_local
year
month_local
day_local
sighting
comments


[Whelk-Barnacle Predation Experiments] - Results from mesocosm experiments measuring how temperature affects predation rates by whelks on barnacles (The Role of Temperature in Regulating Herbivory and Algal Biomass in Upwelling Systems)

Summary:
These data contain results from mesocosm experiments measuring how temperature affects predation rates by whelks on barnacles. These results include barnacles eaten and whelk movements under warm and cold conditions. The experiments were done in the Galapagos Science Center in San Cristobal, Galapagos.  Estimates of how temperature modifies activity and predation rates will help understand and predict changes in marine communities under future climate change scenarios.

cdm_data_type = Other
VARIABLES:
Day_of_Week (unitless)
ISO_DateTime_Local (unitless)
time (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)
Aquarium (unitless)
Treatment (unitless)
Temperature (degrees Celsius)
Position_of_Whelk (unitless)
WhelkPosition (unitless)
DeadControl (unitless)
DeadPrey (unitless)
PreyEaten (unitless)
Note (unitless)


[Whole genome sequence data for Pisaster ochraceus] - Whole genome sequence data for Pisaster ochranceus samples collected from the Pacific coast of North America from July 2004 to May 2018 (Collaborative Proposal: Selection and Genetic Succession in the Intertidal -- Population Genomics of Pisaster ochraceus During a Wasting Disease Outbreak and its Aftermath)

Summary:
This dataset includes collection and accession information for whole genome sequence (WGS) data from 65 Pisaster ochraceus (ochre sea star) collected across latitudes ranging from SE Alaska to southern California. The sequence data have been deposited into NCBI SRA archive under BioProject PRJNA1117092 and will be publicly available on 2025-08-01. These data are used to evaluate the population genomic diversity and divergence of spatially and environmentally separated populations of Pisaster ochraceus.

cdm_data_type = Other
VARIABLES:
sample_name (unitless)
bioproject_accession (unitless)
bioproject_ncbi (unitless)
assay_type (unitless)
organism (unitless)
isolation_source (unitless)
collection_date (unitless)
iso_collection_date (unitless)
geo_loc_name (unitless)
latitude (degrees_north)
longitude (degrees_east)
tissue (unitless)
biomaterial_provider (unitless)
collected_by (unitless)
host_tissue_sampled (unitless)


[Whole Genome Sequencing of Eelgrass Bodega and Tomales Bay] - Sample collection information and sequence accessions at the National Center for Biotechnology Information (NCBI) for whole genome sequencing of eelgrass (Zostera marina) collected at Bodega and Tomales Bay, CA, USA from July to September 2019 (Using genomics to link traits to ecosystem function in the eelgrass Zostera marina)

Summary:
This dataset includes sample collection information and sequence accessions at the National Center for Biotechnology Information (NCBI) for whole genome sequencing of eelgrass (Zostera marina) collected at Bodega and Tomales Bay, California, USA from July and September of 2019. Sequence Read Archive (SRA) Experiments and BioSamples can be accessed from the NCBI BioProject PRJNA887384 (https://www.ncbi.nlm.nih.gov/bioproject/PRJNA887384/).

Results summary as described in Scheibelhut, et al. (2023): We examine genomic signals of selection in the eelgrass Zostera marina across temperature gradients in adjacent embayments. Although we find many genomic regions with signals of selection within each bay there is very little overlap in signals of selection at the SNP level, despite most polymorphisms being shared across bays. We do find overlap at the gene level, potentially suggesting multiple mutational pathways to the same phenotype. Using polygenic models we find that some sets of candidate SNPs are able to predict temperature across both bays, suggesting that small but parallel shifts in allele frequencies may be missed by independent genome scans. Together, these results highlight the continuous rather than binary nature of parallel evolution in polygenic traits and the complexity of evolutionary predictability.

cdm_data_type = Other
VARIABLES:
accession (unitless)
sample_name (unitless)
bioproject_accession (unitless)
Site (unitless)
organism (unitless)
collection_date (unitless)
isolation_source (unitless)
latitude (degrees_north)
longitude (degrees_east)


[Wild copepod pool-seq data] - Pool-seq data from wild populations of copepods in the North Sea from May 2014 (Evolutionary genomics of a copepod project) (Evolutionary Responses to Global Changes in Salinity and Temperature)

Summary:
This dataset was generated from studies of wild populations of Eurytemora affinis (E. affinis). Copepod populations were collected from three locations in the North Sea using bongo nets with 100 micrometer (μm) mesh and stored in RNAlater. Sampling locations included two freshwater lakes and one brackish estuary. Individual copepods (100 individuals, 50:50 male:female) were pooled and their DNA was extracted. Paired-end whole-genome sequencing libraries were prepared using the Illumina Nextera DNA kit (Illumina, Inc.) and sequenced on three lanes of an Illumina HiSeq 2000 sequencer, generating an average of approximately 158 million paired-end (100 bp) reads per pool. These data have been deposited in the National Center for Biotechnology Information (NCBI) under BioProject number PRJNA923656.

cdm_data_type = Other
VARIABLES:
Location (unitless)
Collection_Date (unitless)
Sample_Code (unitless)
Sample_Salinity (Practical salinity units (PSU))
Sample_Temperature (degrees Celsius)
Latitude (degrees_north)
Longitude (degrees_east)
BioSample (unitless)
SRA_Run (unitless)


[Winam Gulf Metagenomic Time Series] - Metagenomic Time Series of Winam Gulf, Lake Victoria from 2022-2023 (ASI Lake Victoria project) (IRES Track II: Advanced studies institute on water quality and harmful algal blooms in Lake Victoria)

Summary:
Compared to the other "Great Lakes" (Laurentian Great Lakes of North America and Lake Baikal of Russia) the African Great Lakes have remained widely unstudied. This serves as a substantial research gap within the limnological literature given the African Great Lakes contribute approximately 25% of all global, accessible freshwater.  Lake Victoria of the African Great Lakes is notable for its large size - serving as the second largest freshwater lake in the world by surface area. Yet, Lake Victoria is also known for the prolific year-long cyanobacterial blooms that occur throughout her waters such as the Winam Gulf. These blooms are fueled by intense agricultural and anthropogenic development much like other freshwater harmful algal blooms. However, unlike other freshwater blooms such as those occurring in Lake Erie and Lake Taihhu - these cyanobacterial blooms have remained widely uncharacterized (especially using molecular techniques).

The central study area is the Winam Gulf of Lake Victoria, Kenya. This is a relatively shallow, hypereutrophic system that has various rivers serving as nutrient loading sources (such as the Sondu River). This dataset also contains opportunistic samples collected from a variety of riverine systems and Lakes Simbi and Naivasha.

Here, we present the biological, chemical and physical data corresponding to a two year metagenomic time series of the Winam Gulf, Lake Victoria. We further present the physiochemical data of eight outgroup samples including adjacent riverine systems and Lakes Simbi and Naivasha.

cdm_data_type = Other
VARIABLES:
Library_ID (unitless)
Site_Name (unitless)
Replicate_id (unitless)
SampleID (unitless)
StudyID (unitless)
Sample_type (unitless)
Lake_or_river (unitless)
latitude (degrees_north)
... (40 more variables)


[wind_stress] - Wind Stress from GLOBEC Mooring ST1, the Nantucket Lightship, and buoys 44005, 44003, 44008, 44011, and 44018 in the Gulf of Maine and Georges Bank from 1975-2007 (GB project) (U.S. GLOBEC Georges Bank)

Summary:
Wind Stress from GLOBEC Mooring ST1, the Nantucket Lightship, and buoys 44005, 44003, 44008, 44011, and 44018 in the Gulf of Maine and Georges Bank from 1975-2007

cdm_data_type = Other
VARIABLES:
mooring
year
yrday0_gmt (decimal yearday)
taux (Surface Downward Eastward Stress, pascals)
tauy (Surface Downward Northward Stress, pascals)


[Winter survey data from Lake Erie from Dec 2022 to Mar 2023] - Winter survey data from Lake Erie from Dec 2022 to Mar 2023 (Lake Erie Center for Fresh Waters and Human Health)

Summary:
This dataset includes winter survey data from Lake Erie collected on USCGC Neah Bay, CCGS Griffon, and CCGS Samuel Risley from December 2022 to March 2023. The survey includes environmental observations, physico-chemical data, chlorophyll, total and dissolved nutrients. The Lake Erie Center for Fresh Waters and Human Health is a five-year, multi-institutional effort aimed at understanding the environmental factors and ongoing changes that influence the growth and toxicity of cyanobacterial harmful algal blooms (cHABs) in Lake Erie.

cdm_data_type = Other
VARIABLES:
Station (unitless)
Deployment (unitless)
Alt_Station (unitless)
Lake (unitless)
Date (unitless)
Time_EST (unitless)
time (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)
latitude (degrees_north)
longitude (Long, degrees_east)
Water_Depth (meters (m))
Ice_Cover (percent (%))
Snow_Cover (percent (%))
Ice_Type (unitless)
Ice_Thickness (inches (in))
Air_Temp (Degrees Celsius)
Water_Temp (Degrees Celsius)
DO (microgram per liter (µg L-1))
DO_percent (percent (%))
Cond (microsiemens per centimeter (uS/cm))
pH (unitless (pH scale))
Sechhi (meters (m))
Baro_Press (Hg)
... (16 more variables)


[Winter temperature data from northeast Pacific embayments] - Winter temperature data from loggers placed in shallow subtidal areas in the northeast Pacific from Oct 2019 to Jul 2024 (Collaborative Research: Tracking fine-scale selection to temperature at the invasion front of a highly dispersive marine predator)

Summary:
Dataset includes winter temperature logger data for a suite of embayments in the northeast Pacific. Data were collected as part of an NSF-funded project on invasive European green crab adaptation; loggers were placed in the shallow subtidal in areas determined by Washington Sea Grant's Crab Team to be good environments for green crabs. Loggers were placed by multiple collaborators without a fully standardized approach; metadata are incomplete but include all available information. Loggers used were iButtons and HOBO pendant loggers. Two loggers were placed at each site in the shallow subtidal with the goal that they were always submerged in water while deployed (i.e., not emersed). Logging frequency depended on the monitor type; iButtons captured water temperatures every 2.15 hours, and HOBO loggers recorded water temperature every 30 minutes over the winter. Deployment duration varied between years and sites, but typically ran from October - April.

cdm_data_type = Other
VARIABLES:
time (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)
Local_DateTime (unitless)
Temperature (degrees Celsius)
File_Name (unitless)
SiteNumber (unitless)
SiteName (unitless)
HabType (unitless)
Type (unitless)
Model (unitless)
SerialNumber (unitless)
LoggerStartDate (unitless)
DeploymentDate (unitless)
DeploymentTime (unitless)
DeploymentDateTime (unitless)
latitude (degrees_north)
longitude (degrees_east)
DeployedBy (unitless)
RetrievalDate (unitless)
AnchorType (unitless)
TimeVar (seconds)
Notes (unitless)


[Woodfalls (Wood Fall project)] - Woodfalls (Wood Fall project) (The energetic assembly of biological communities: a test with deep-sea woodfalls)

Summary:
Information for individual wood falls including size and deployment information.

cdm_data_type = Other
VARIABLES:
tag_number (value)
tag_color (green, white, orange, yellow, blue)
experiment (unitless)
rov_dive (unitless)
site (unitless)
deployment_date (unitless)
latitude (degrees_north)
longitude (degrees_east)
depth (m)
deployment_row (value)
deployment_column (value)
wood_type (species)
length (centimeters)
max_diameter (centimeters)
min_diameter (centimeters)
wood_mass_final (kilograms)
notes (unitless)
weight_wood_zip (kilograms)
weight_packet_total_1 (kilograms)
weight_wood_only (kilograms)
weight_wrap_only (kilograms)
weight_zip (kilograms)
zip_tie_length (unitless)
weight_packet_total_2 (kilograms)


[WP2 net metadata - CGoA LTOP] - WP2 net meta data from F/V Great Pacific GP0108, GP0207-01, GP0207-02 in the Coastal Gulf of Alaska, Northeast Pacific from 2001-2002 (NEP project) (U.S. GLOBEC Northeast Pacific)

Summary:
WP2 net meta data from F/V Great Pacific GP0108, GP0207-01, GP0207-02 in the Coastal Gulf of Alaska, Northeast Pacific from 2001-2002.

cdm_data_type = Other
VARIABLES:
cruiseid (unitless)
year (unitless)
haul_id (dimensionless)
station (dimensionless)
yrday_local (dimensionless)
month_local (unitless)
day_local (unitless)
time_local_start
latitude (degrees_north)
longitude (degrees_east)
distance_start
depth (m)
depth_tow (Depth, meters)
comments


[Wrack Composition and Abundance] - Composition and abundance of macrophyte wrack at six Santa Barbara beaches quantified during surveys conducted from 2015-2017 (Linking nearshore kelp forest dynamics to sandy beach ecosystems)

Summary:
Composition and abundance of macrophyte wrack at six Santa Barbara beaches quantified during surveys conducted from 2015-2017. Wrack composition and cover were recorded for each of six shore-normal transects of variable length that extended from the lower edge of terrestrial vegetation or the bluff to the lowest intertidal level exposed by swash at each location.

cdm_data_type = Other
VARIABLES:
Site (unitless)
latitude (degrees_north)
longitude (degrees_east)
Year (unitless)
Month (unitless)
Date (unitless)
Transect (unitless)
Start (meters (m))
End (meters (m))
Length (meters (m))
Type_Code (unitless)
Type (unitless)
Depth (centimeters (cm))
Investigator (unitless)
Notes (unitless)


[WS1005 cruise track] - Cruise track (1-min fixes; from R2R) from R/V F.G. Walton Smith cruise WS1005 from Miami to the Bahamas in 2010 (Were Protists the Beginning of the End for Stromatolites? )

Summary:
1-minute resolution navigation from the WS1005 cruise aboard the R/V F.G. Walton Smith from 18 March to 24 March 2010.

cdm_data_type = Other
VARIABLES:
date_utc (unitless)
time_utc (HHMM.mmmmm)
latitude (degrees_north)
longitude (degrees_east)
sog (Speed Over Ground, m/s)
cog (Course Over Ground, degrees clockwise from North)
time (ISO Date Time UTC, seconds since 1970-01-01T00:00:00Z)


[X-ray diffraction from seafloor sulfide deposits East Pacific Rise 9-10 North] - Synchrotron micro-probe X-ray diffraction data from seafloor sulfide deposits collected during cruise AT42-09 on the East Pacific Rise (EPR) in April 2019. (Collaborative Research: From hot to cold in the dark - shifts in seafloor massive sulfide microbial communities as physical and geochemical conditions change after venting ceases)

Summary:
Synchrotron micro-probe X-ray diffraction data were collected for seafloor sulfide deposits. Seafloor sulfide mineral samples were collected from hydrothermally active chimneys and inactive off-axis massive sulfide deposits at East Pacific Rise (EPR) 9.50°N in 2019-2021 on cruise AT42-09. Samples were collected using the HOV Alvin. Samples were placed in a positive-pressure glove bag flushed with N2 (g), sparged with N2, heat-sealed into mylar bags containing Anaeropaks, and stored at -20°C.

Epoxy embedded petrographic thin sections were created using these samples. Subsamples were dried for 24 hours under N2 (g), vacuum embedded in epoxy resin (Struers EpoFix Resin, 1L kit: Part #40200030) following manufacturer's guidelines, and cured under N2 (g) for 24 hours. Each epoxy-embedded sample was pre-cut using a wafering saw then sent to Spectrum Petrographics, Inc. (Washington, USA) for preparation as 30 micron thick, double-polished thin sections mounted on quartz slides using methods to limit sample exposure to water and ambient air. When not in use, thin-sections were stored under N2 (g) to limit oxidation. Thin sections were analyzed for X-ray diffraction at the X-ray Fluorescence Microprobe beamline "XFM", National Synchrotron Light Source II (NSLS II), Brookhaven National Laboratory, NY.

cdm_data_type = Other
VARIABLES:
Cruise (unitless)
File_name (unitless)
Sample_name (unitless)
sample_descrip (Time, unitless)
Hydrotherml_vent_category (unitless)
Location (unitless)
latitude (Lat_dd, degrees_north)
longitude (Lon_dd, degrees_east)
depth_f (Depth_mbs, m)
Hdg (degrees)
Date_collected (unitless)
Time_collected (unitless)
time (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)


[Xray diffraction data] - X-ray diffractogram data collected from 2013 to 2017 (INSPIRE Pyrite project) (INSPIRE Track 1: Microbial Sulfur Metabolism and its Potential for Transforming the Growth of Epitaxial Solar Cell Absorbers)

Summary:
X-ray diffractogram data collected from 2013 to 2017 (INSPIRE Pyrite project)

cdm_data_type = Other
VARIABLES:
experiment_type (unitless)
angle_2Theta (Angle 2 Theta, unitless)
intensity (arbitrary unit)


[XRD XPS and Raman spectrum data] - XRD, XPS, and raman data collected from 2013 to 2017 (INSPIRE Pyrite) (INSPIRE Track 1: Microbial Sulfur Metabolism and its Potential for Transforming the Growth of Epitaxial Solar Cell Absorbers)

Summary:
XRD, XPS, and raman data collected from 2013 to 2017 (INSPIRE Pyrite)

cdm_data_type = Other
VARIABLES:
data_type (unitless)
theta2 (degree)
binding_energy (eV)
intensity_type (unitless)
raman_shift (centimeters)
intensity (arbitrary units)


[yawzi point and tektite] - Coral community structure at Yawazi Point and Tektite in St. John before and after five hurricanes from 1988–2017 (RUI-LTREB Renewal: Three decades of coral reef community dynamics in St. John, USVI: 2014-2019)

Summary:
These files contain data that support an analysis of the effects of two major hurricanes on coral reefs that have been extensively studied for more than three decades. Major tropical storms are destructive phenomena with large effects on the community dynamics of multiple biomes. On coral reefs, their impacts have been described for decades, leading to the expectation that future storms should have effects similar to those recorded in the past. This expectation relies on the assumption that storm intensities will remain unchanged, and the impacted coral reef communities are similar to those of the recent past; neither assumption is correct. These data support a study quantifying the effects of two category five hurricanes on the reefs of St. John, US Virgin Islands, where 31 y of time-series analyses reveal chronic coral mortality, increasing macroalgal abundance, and five major hurricanes that caused acute coral mortality. Contextualized by these trends, the effects of the most recent storms, Hurricanes Irma and Maria (September 2017), on coral cover were modest. While mean absolute coral cover declined 1\u20134% depending on site, these effects were not statistically discernable. Following decades of increasing abundance of macroalgae, this functional group responded to the  recent hurricanes with large increases in abundance on both absolute and relative scales. Decades of chronic mortality have changed the coral assemblages of St. John to create degraded communities that are resistant to severe storms.

cdm_data_type = Other
VARIABLES:
Site (unitless)
Transect_num (unitless)
Year (years)
Quadrat (unitless)
Timing (unitless)
Orbicella_complex (percent cover)
Montastraea (percent cover)
Agaricia (percent cover)
Colpophyllia (percent cover)
Diploria (percent cover)
Eusmilia (percent cover)
Madracis (percent cover)
... (8 more variables)


[Year 1 orbitrap MZML files] - Raw proteome mass spectrometry data (.mzML files) from pacific herring embryos sampled at Semiahmoo Bay between February and April 2022 (MCA: Utilizing high-throughput proteomics to build a conceptual model of the effects of environmental change on early life stages of genetically diverse herring populations)

Summary:
These are the raw data files from 5 cohorts of pacific herring embryos collected from Feb through April of 2022.  Embryos were homogenized, and digested for proteomic analysis on a Lumos Orbitrap.  Pooled samples were used with narrow window scans for library generation. The purpose of this data set is exploratory analysis for seasonal differences between early life stage proteome of pacific herring.  All embryos are believed to be from the Semiahmoo Bay population since the Cherry Point population had no spawn detected in 2022.

cdm_data_type = Other
VARIABLES:
Location (unitless)
Date_Sampling (unitless)
latitude (degrees_north)
longitude (degrees_east)
Sample_ID (unitless)
Cohort (unitless)
Replicate (unitless)
Mass_Spec_Run_Number (unitless)
Date_Mass_Spec (unitless)
Sample_Type (unitless)
Filename (unitless)


[zoo_cb_meter_moc] - Zooplankton cubic meter count data collected in the 1-m2 MOCNESS during R/V Albatross IV, R/V Endeavor and R/V Oceanus broadscale cruises in the Gulf of Maine and Georges Bank from 1995-1999 and processed at GSO/URI (GB project) (U.S. GLOBEC Georges Bank)

Summary:
Zooplankton cubic meter count data collected in the 1-m2 MOCNESS during R/V Albatross IV, R/V Endeavor and R/V Oceanus broadscale cruises in the Gulf of Maine and Georges Bank from 1995-1999 and processed at GSO/URI

cdm_data_type = Other
VARIABLES:
cruiseid (text)
cruise_type (text)
year_cruise_begin (unitless)
month_cruise_begin (mm (01 to12))
day_cruise_begin (dd (01 to 31))
year_cruise_end (unitless)
month_cruise_end (mm (01 to 12))
day_cruise_end (dd (01 to 31))
station (unitless)
station_std (unitless)
depth_w (Depth, meters)
event (unitless)
inst (text)
tow (unitless)
latitude (degrees_north)
longitude (degrees_east)
year_utc_begin (unitless)
month_utc_begin (mm (01 to 12))
day_utc_begin (dd (01 to 31))
time_utc_begin (HHMM)
year_utc_end (unitless)
month_utc_end (mm (01 to 12))
day_utc_end (dd (01 to 31))
time_utc_end (HHMM)
allsort_flag (unitless)
... (11 more variables)


[zoo_pump] - Zooplankton counts (density) from R/V Seward Johnson, R/V Oceanus, and R/V Edwin Link cruises SJ9508, OC303, EL9904, and EL9905 in the Gulf of Maine and Georges Bank from 1995-1999 (GB project) (U.S. GLOBEC Georges Bank)

Summary:
Zooplankton counts (density) from R/V Seward Johnson, R/V Oceanus, and R/V Edwin Link cruises SJ9508, OC303, EL9904, and EL9905 in the Gulf of Maine and Georges Bank from 1995-1999

cdm_data_type = Other
VARIABLES:
cruiseid
year (GMT)
event
yrday_gmt (decimalday,GMT)
month_gmt (GMT)
day_gmt (GMT)
time_gmt (GMT)
station
latitude (degrees_north)
longitude (degrees_east)
depth (m)
taxon
stage
stage_num
sex
num_per_m3 (number per cubic meter)


[zoo_sq_meter_moc] - Zooplankton square meter count data collected in the 1-m2 MOCNESS during R/V Albatross IV, R/V Endeavor and R/V Oceanus broadscale cruises in the Gulf of Maine and Georges Bank from 1995-1999 and processed at GSO/URI (GB project) (U.S. GLOBEC Georges Bank)

Summary:
Zooplankton square meter count data collected in the 1-m2 MOCNESS during R/V Albatross IV, R/V Endeavor and R/V Oceanus broadscale cruises in the Gulf of Maine and Georges Bank from 1995-1999 and processed at GSO/UR

cdm_data_type = Other
VARIABLES:
cruiseid (unitless)
cruise_type (unitless)
year_cruise_begin (unitless)
month_cruise_begin (mm (01 to 12))
day_cruise_begin (dd (01 to 31))
year_cruise_end (unitless)
month_cruise_end (mm (01 to 12))
day_cruise_end (dd (01 to 31))
station (unitless)
station_std (unitless)
depth_w (Depth, meters)
event (unitless)
inst (unitless)
tow (unitless)
latitude (degrees_north)
longitude (degrees_east)
year_utc_begin (unitless)
month_utc_begin (mm (01 to 12))
day_utc_begin (dd (01 to 31))
time_utc_begin (HHMM)
year_utc_end (unitless)
month_utc_end (mm (01 to 12))
day_utc_end (dd (01 to 31))
time_utc_end (HHMM)
allsort_flag (unitless)
... (11 more variables)


[zooplankton abund and stages_lmg] - Zooplankton abundance with developmental stages from MOCNESS nets from the ARSV Laurence M. Gould LMG0104, LMG0203 from the Southern Ocean, 2001-2002 (SOGLOBEC project) (U.S. GLOBEC Southern Ocean)

Summary:
Zooplankton abundance with developmental stages from MOCNESS nets from the ARSV Laurence M. Gould LMG0104, LMG0203 from the Southern Ocean, 2001-2002.

cdm_data_type = Other
VARIABLES:
cruiseid
year (unitless)
station
cast
month_local
day_local
time_start_local (HHmm)
event
latitude (degrees_north)
longitude (degrees_east)
net
depth_open (Depth, meters)
depth (m)
vol_filt (cubic meters)
displ_vol (cubic centimeters)
taxon_group
taxon
stage
samp_fraction_denom
count
abundance (number/m^3)
comments (unitless)


[zooplankton abund and stages_nbp] - Zooplankton abundance and stages from MOCNESS nets from the RVIB Nathaniel B. Palmer from the Southern Ocean, 2001-2002 (SOGLOBEC project, Southern Ocean Krill project) (U.S. GLOBEC Southern Ocean)

Summary:
Zooplankton from MOCNESS nets were identified and the net sample displacement volume was measured from the RVIB Nathaniel B. Palmer, Southern Ocean, 2001-2002.

cdm_data_type = Other
VARIABLES:
cruiseid
year
station
tow
month_local
day_local
time_local (HHmm)
event
latitude (degrees_north)
longitude (degrees_east)
depth_w (Depth, meters)
region
yrday_local
net
depth_open (Depth, meters)
depth (m)
depth_mid (Depth, meters)
vol_filt (meters3)
displ_vol (milliliters)
taxon_group
taxon
stage
abundance (number per meter3)
comments (unitless)


[zooplankton abund biomass_MOC - nbp] - Zooplankton abundance and biomass from MOCNESS silhouettes, from the RVIB Nathaniel B. Palmer NBP0103, NBP0104 from the Southern Ocean, 2001-2002 (SOGLOBEC project, Southern Ocean Krill project) (U.S. GLOBEC Southern Ocean)

Summary:
Zooplankton abundance and biomass from MOCNESS silhouettes, from the RVIB Nathaniel B. Palmer NBP0103, NBP0104 from the Southern Ocean, austral fall and winter, 2001-2002

cdm_data_type = Other
VARIABLES:
cruiseid
year
tow
latitude (degrees_north)
longitude (degrees_east)
depth_w (Depth, meters)
net
depth_open (Depth, meters)
depth (m)
depth_mid (Depth, meters)
abundance_total (no. per cubic meter per net)
biomass_total (milligrams per meter3)
taxon
abundance (no. per meter3pernet)
biomass (milligrams per meter3)


[Zooplankton abundance and size from Bongo plankton net tows] - Zooplankton abundance and size data from Bongo plankton net tows conducted in the subtropical Southern California Bight during February and April 2021 (RAPID: Understanding the unprecedented anchovy response to warm-water conditions in the California Current)

Summary:
This dataset includes zooplankton abundance and size from Bongo plankton net tows conducted in the subtropical Southern California Bight during February and April 2021. Net tows were carried out on several cruises aboard R/V Bob and Betty Beyster and R/V Shearwater.

cdm_data_type = Other
VARIABLES:
Cruise (unitless)
time (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)
ISO_DateTime_PDT (unitless)
Line (unitless)
St (unitless)
Lat (degrees_north)
longitude (Long, degrees_east)
Tow_depth (meters (m))
Mesh_size (micrometers (um))
Taxa (unitless)
Development_stage (unitless)
ind_per_cubic_m (individuals per cubic meter)
Avg_length (micrometers (um))
SD_length (micrometers (um))
Avg_width (micrometers (um))
SD_width (micrometers (um))
Num_Measured (unitless)


[Zooplankton Acidification Lab Results] - Results from Calanus pacificus Acidification Laboratory Experiments from 2019-2020 (Zooplankton Swimming project) (Causes and consequences of hypoxia and pH impacts on zooplankton: Linking movement behavior  to vertical distribution.)

Summary:
We conducted laboratory experiments using stratified 1 m x 0.1 × 0.1 acrylic water columns to measure the effects of bottom water hypoxia and low pH on mortality, distribution, and swimming behaviors of the calanoid copepod Calanus pacificus. Calanus pacificus were collected from within Puget Sound, Washington, USA, between June and October of 2019 and 2020.  Their behaviors and vertical distributions in response to either hypoxic or acidified bottom waters were observed in an array of 4 replicate columns. Swimming behavior was observed for 90 minutes using 5-megapixel IR USB cameras. Two front-facing cameras (‘bottom camera', ‘surface camera') recorded swimming in the X (left, right) and Z (up, down) directions. An upwards-facing ‘base camera' was added to each tank in 2020 to improve tracking and behavioral analysis of copepods near the bottom. Base cameras recorded the bottom 2 cm of each tank in the X and Y (front, back) directions.

The primary data file of this dataset contains collection and organism details for copepods used in acidification experiments (926368_v1_zooplankton_acidification_pH_experiment_overview.csv). This dataset also includes four Supplemental Files .csv files summarizing results from our acidification experiments (926368_v1_zooplankton_acidification_pH_chemistry.csv, 926368_v1_zooplankton_acidification_pH_moribundity.csv, 926368_v1_zooplankton_acidification_pH_mean_height.csv, 926368_v1_zooplankton_acidification_pH_speed.csv).

cdm_data_type = Other
VARIABLES:
Experiment_Date (unitless)
Collection_Date (unitless)
Sort_Date (unitless)
Collector (unitless)
Collection_Site (unitless)
Lifestage (unitless)
Sex (unitless)
Collection_Lat (degrees_north)
longitude (Collection_long, degrees_east)
Experiment_Type (unitless)
Collection_Notes (unitless)
Experiment_Notes (unitless)


[zooplankton biomass] - Zooplankton biomass and species composition and abundance in the southeastern Caribbean Sea (Cariaco Basin) from October 2001 – January 2017 collected by the CARIACO Ocean Time-Series Program (CARIACO Ocean Time-Series Program)

Summary:
The CARIACO Ocean Time-Series Program (formerly known as CArbon Retention In A Colored Ocean) started on November 1995 (CAR-001) and ended on January 2017 (CAR-232). Monthly cruises were conducted to the CARIACO station (10.50\u00b0 N, 64.67\u00b0 W) onboard the R/V Hermano Gin\u00e9s of the Fundaci\u00f3n La Salle de Ciencias Naturales de Venezuela. The program studied the relationship between surface primary production, physical forcing variables like the wind, and the settling flux of particulate carbon in the Cariaco Basin. This depression, located on the continental shelf of Venezuela, shows marked seasonal and interannual variation in hydrographic properties and primary production (carbon fixation rates by photosynthesis of planktonic algae).\r\n\r\nZooplankton sampling was done during each CARIACO time-series cruise from October 2001 to January 2017 (cruises CAR071 - CAR232). Oblique BONGO net tow samples from 200 m to the surface were analyzed to determine biomass (dry weight and ash content) and taxonomic composition. Empty values denote that a specific zooplankton group was not found at that cruise.

cdm_data_type = Other
VARIABLES:
Cruise (unitless)
Cruise_ID (unitless)
Day (unitless)
Month (unitless)
Year (unitless)
Date (unitless)
latitude (degrees_north)
longitude (degrees_east)
Analyst (unitless)
Mesh_Size (micrometers (um))
TOTAL_DENSITY (individuals per meter cubed (ind/m3))
BIOMASS (miligrams per meter cubed (mg/m3))
ASH (miligrams per meter cubed (mg/m3))
COPEPODS (individual per meter cubed (ind/m3))
CALANOIDS (individual per meter cubed (ind/m3))
CYCLOPOIDA (individual per meter cubed (ind/m3))
... (44 more variables)


[Zooplankton Densities] - Zooplankton densities collected from a seasonally hypoxic fjord on R/V Clifford A Barnes cruises from 2012-2013 (Pelagic Hypoxia project) (Consequences of hypoxia on food web linkages in a pelagic marine ecosystem)

Summary:
Zooplankton densities collected from a seasonally hypoxic fjord on R/V Clifford A Barnes cruises from 2012-2013 (Pelagic Hypoxia project)

cdm_data_type = Other
VARIABLES:
station (unitless)
latitude (degrees_north)
longitude (degrees_east)
day_night (unitless)
species (unitless)
date (unitless)
time_start (unitless)
life_history_stage (unitless)
sample_code (unitless)
mesh_size (microns)
depth_max (Depth, meters)
depth_min (Depth, meters)
FWC_DS (unitless)
density (count per meter cubed)
time (ISO Date Time UTC, seconds since 1970-01-01T00:00:00Z)


[Zooplankton from hypoxic waters of Chesapeake Bay] - Concentration of zooplankton, in particular copepods, from hypoxic waters collected by R/V Hugh R. Sharp cruises (HRS100524JP, HRS100819JP, HRS100920JP, HRS110525JP, HRS110719JP, HRS110922JP) in the Chesapeake Bay from 2010-2011 (DeZoZoo project) (Hypoxia in Marine Ecosystems: Implications for Neritic Copepods)

Summary:
These data represent a merging of electronic data collected from the MOCNESS
sensor systems and the count data from the samples collected with the net
tows. Some nets were used for zooplankton samples, while others were collected
specifically to estimate bay anchovy concentrations. (See associated dataset:[
https://www.bco-dmo.org/dataset/563428](\\http://www.bco-
dmo.org/dataset/563428\\).) These are contained on different sheets, and the
count data was merged individually.

cdm_data_type = Other
VARIABLES:
cruiseid (text)
cruise_informal (text)
year (time)
month_local (time)
tow (text)
day_local (time)
net (text)
gear (text)
time_local (HH:MM)
latitude (degrees_north)
longitude (degrees_east)
yrday_local (time)
vol_filt (cubic meters)
temp (Temperature, degrees centrigrade)
sal (PSU)
O2_mg_L (milligrams per liter)
fluor (milligrams per cubic meter)
turbidity (NTU)
PAR (Downwelling Photosynthetic Photon Radiance In Sea Water, microEinsteins per square meter per second)
lat_end (Latitude, decimal degrees)
lon_end (Longitude, decimal degrees)
... (15 more variables)


[Zooplankton In Situ Videos] - In Situ Amphipod and Copepod Video Output Captured by the Hoodsport ORCA Profiling Mooring Mounted SPC-2 Zoocam in the Hood Canal, Puget Sound, Washington from August to September 2018 (Zooplankton Swimming project) (Causes and consequences of hypoxia and pH impacts on zooplankton: Linking movement behavior  to vertical distribution.)

Summary:
This dataset consists of videos of zooplankton swimming taken by an in-situ camera system (the SPC UW ZooCam) that was deployed on the Hoodsport ORCA profiling mooring in Hood Canal (Puget Sound), WA in summer 2018. Understanding zooplankton population dynamics is challenging, largely because traditional methods for quantifying zooplankton distributions are costly, limited in scope, and require extended analysis by trained analysts. We developed a novel methodology that combined remotely deployed camera systems, Machine Learning-based identification of zooplankton, and video-based tracking technology to quantify copepods' and amphipods' in situ swimming behaviors in a seasonally hypoxic and acidified fjord.

cdm_data_type = Other
VARIABLES:
vid_id (unitless)
datetime_utc (unitless)
total_frames (frames)
avg_frm_rate (frames per second)
nearest_ctd_cast (unitless)
nearest_ctd_offset (unitless)
depth (m)
oxygen (milligrams per liter (mg/L))
temperature (degrees Celcius)


[Zooplankton/phytoplankton CSIA-AA] - CSIA 15N AA data from phytoplankton, microzooplankton, and Calanus pacificus. (Resolving the trophic connection between protistan grazers and mesozooplankton in marine food webs using amino acid-specific stable isotope analyses)

Summary:
CSIA 15N AA data from phytoplankton, microzooplankton, and Calanus pacificus.

cdm_data_type = Other
VARIABLES:
Experiment (unitless)
Organism (unitless)
stage (unitless)
bulk_d15N (Bulk D15 N, per mil)
Ala_d15N (Ala D15 N, per mil)
Asp_d15N (Asp D15 N, per mil)
Glu_d15N (Glu D15 N, per mil)
IsoL_d15N (Iso L D15 N, per mil)
Leu_d15N (Leu D15 N, per mil)
Pro_d15N (Pro D15 N, per mil)
Val_d15N (Val D15 N, per mil)
Gly_d15N (GLY D15 N, per mil)
Lys_d15N (LYS D15 N, per mil)
Phe_d15N (Phe D15 N, per mil)
Ser_d15N (Ser D15 N, per mil)
Thr_d15N (THR D15 N, per mil)
Note_Organism (unitless)
Note_bulk_d15N (Note Bulk D15 N, unitless)
Note_Gly_d15N (Note Gly D15 N, unitless)


[zooplankton_taxonomy] - Zooplankton taxonomic data from MOCNESS and IONESS tows from VERTIGO cruises KM0414, ZHNG09RR from the Hawaiian Islands HOT Site, NW SubArctic Pacific Ocean K2 Site, 2004-2005 (VERTIGO project) (VERtical Transport In the Global Ocean)

Summary:
Zooplankton taxonomic data from MOCNESS and IONESS tows from VERTIGO cruises KM0414, ZHNG09RR from the Hawaiian Islands HOT Site, NW SubArctic Pacific Ocean K2 Site, 2004-2005

cdm_data_type = Other
VARIABLES:
Cruise_ID (text)
event (dimensionless)
date_begin (unitless)
time_begin (unitless)
latitude (degrees_north)
longitude (degrees_east)
depth_end (Depth, meters)
depth (m)
vol_filt (meters^3)
taxon (text)
tax_dens (#/meters^3)


[ZooProcess and Ecotaxa Output Along Physical Gradients from OAPS] - ZooProcess and Ecotaxa output from ZooSCANs of zooplankton collected along physical gradients during OAPS MOCNESS tows during R/V Oceanus northwest Atlantic 2011 cruise OC473 and R/V New Horizon northeast Pacific 2012 cruise NH1208 and imaged in 2021-2022 (Quantifying the drivers of midwater zooplankton community structure)

Summary:
This dataset consists of the imaging portion of the study described below and includes ZooProcess and Ecotaxa outputs from ZooSCANs performed of zooplankton collected during Multiple Opening-Closing Net and Environmental Sensing System (MOCNESS) tows during R/V Oceanus cruise OC473 in the Northwestern Atlantic in 2011 and R/V New Horizon cruise NH1208 in the Northeastern Pacific in 2012. It includes data for this project from Ecotaxa (export v1.0), an online machine-learning platform that assists in identifying organisms and particles.  The dataset also includes particle measurements generated by ZooProcess software. Day and night stations were sampled between 0 to 1000m depths from 35 to 50 N in the northwest Atlantic in 2011, and from 35 and 50N along CLIVAR line P17N in 2012. These representative subsamples of the formalin-preserved zooplankton community from each net were imaged in 2021 and 2022.

Project description: The objective of this study was to determine how environmental variables shape zooplankton community structure in the midwater. Our primary overarching hypothesis was that the abundance and size class distribution of the zooplankton community are decoupled and are influenced by different environmental variables. Furthermore, differences in zooplankton community composition and diversity in the observed distinct oceanic biogeographical provinces additionally influences both factors. Since zooplankton contributions to biogeochemistry are size dependent, standard descriptions of zooplankton community (biomass, which is a product of size and abundance) are insufficient to generate a predictive understanding of the role of zooplankton in biogeochemical cycles. The project uses particle imaging technology and metabarcoding of archived biological samples in conjunction with open access hydrographic data from two cruises conducted in the N. Atlantic and N. Pacific to test these hypotheses.

cdm_data_type = Other
VARIABLES:
object_id (unitless)
latitude (Object_lat_start, degrees_north)
longitude (Object_lon_start, degrees_east)
object_date (unitless)
object_time (unitless)
time (Object_iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)
... (146 more variables)


[ZooProcess and Ecotaxa Output for Zooplankton Mediated Aggregates] - ZooProcess and Ecotaxa output from ZooSCANs of zooplankton collected with MOCNESS tows during six R/V Atlantic Explorer cruises from 2021 to 2023 (Collaborative Research: Zooplankton mediation of particle formation in the Sargasso Sea)

Summary:
This dataset consists of ZooProcess and Ecotaxa outputs from ZooSCANs of plankton caught in the upper 600m using Multiple Opening-Closing Net and Environmental Sensing System (MOCNESS) tows during day- and night-time. It includes data for this project from Ecotaxa (export v1.0), an online machine-learning platform that assists in identifying organisms and particles. The dataset also includes particle measurements generated by ZooProcess software. These samples were collected and processed over two years, with three cruises a year to capture distinct seasons. The goal of this data was to assess high-resolution vertical distribution of zooplankton in order to distinguish diel vertical migrators from resident populations and to quantify contributions to particulate organic carbon flux via fecal pellet production.

Project description: The oceanic biological carbon pump refers to the export of dissolved and particulate organic carbon to the deep ocean, and it is a significant driver of atmospheric carbon uptake by the oceans. Evidence from long-term research carried out at the Bermuda Atlantic Time-series Study (BATS) site suggests that the spectrum of particles collected by gel-traps below the euphotic zone changes drastically below 150 m, which is attributed to resident populations of zooplankton that feed on vertically migrating zooplankton as well as sinking particles. The goals of this study are to investigate the role of different zooplankton taxa on both particle aggregate formation and in particle transformation, and to compare and characterize the particles generated by the zooplankton communities with those collected by particle traps.

cdm_data_type = Other
VARIABLES:
object_id (unitless)
latitude (Object_lat_start, degrees_north)
longitude (Object_lon_start, degrees_east)
object_date (unitless)
object_time (unitless)
time (Object_iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)
object_link (unitless)
object_depth_min (Meters)
object_depth_max (Meters)
... (143 more variables)


[Zostera marina whole genome resequencing] - Sample collection and sequence accession information for Zostera marina whole genome resequencing from specimens collected at 16 geographic locations worldwide in 2017 (Using genomics to link traits to ecosystem function in the eelgrass Zostera marina)

Summary:
This dataset includes sample collection and sequence accession information for Zostera marina whole genome resequencing from specimens collected at 16 geographic locations worldwide in 2017. Sequence accessions are housed in the National Center for Biotechnology Information (NCBI) Sequence Read Archive (SRA).

cdm_data_type = Other
VARIABLES:
SampleID (unitless)
BioProject (unitless)
Library_Code (unitless)
Sample_Description (unitless)
Location_Name (unitless)
latitude (degrees_north)
longitude (Long, degrees_east)
SRA_accession (unitless)
Library_type (unitless)
Sampled_tissue (unitless)
Instrument (unitless)
reads (unitless)
Number_of_bases_Raw_fastq (count)
Coverage_Raw_fastq (genomes)
Number_of_bases_Clean_fastq (count)
Coverage_Clean_fastq (genomes)
Mapped_pcnt (percent)
Properly_paired_pcnt (percent)