BCO-DMO ERDDAP
Accessing BCO-DMO data 		log in    
Brought to you by BCO-DMO    
 
 
griddap Subset tabledap Make A Graph wms files Accessible Title Summary FGDC ISO 19115 Info Background Info RSS Email Institution Dataset ID
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_940164_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_940164_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_940164_v1/ public [2019 BAIT Dissolved Nickel Speciation] - Total dissolved, dissolved labile, and soluble nickel concentrations determined in water column samples collected on the 2019 Bermuda Atlantic Iron Time-series (BAIT) cruises in the Western Subtropical North Atlantic Gyre (NSFGEO-NERC: Collaborative Research: Using Time-series Field Observations to Constrain an Ocean Iron Model) This dataset includes the total dissolved, dissolved labile, and soluble nickel concentration results determined in water column samples collected using a trace-metal clean CTD rosette, or an inflatable dinghy, during four cruises in the Bermuda Atlantic Time-series Study (BATS) region in March, May, August, and November 2019. The samples and associated data were collected for the Bermuda Atlantic Iron Time-series (BAIT) project (GEOTRACES Process Study GApr13). Post-cruise sample analyses were performed at the University of South Florida (labile dissolved nickel) and Old Dominion University (dissolved nickel, soluble nickel).\n\ncdm_data_type = Other\nVARIABLES:\nCRUISE (unitless)\nPROJECT_CRUISE (unitless)\nCRUISE_NAME (unitless)\nStation (unitless)\nSAMPLE_ID (unitless)\ntime (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\nDATE_GMT (unitless)\nGMT (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\nPLATFORM (unitless)\nPRESSURE (decibar (db))\ndepth (m)\nNi_D_CONC (nanomoles per liter (nM))\nNi_D_STDEV (nanomoles per liter (nM))\nNi_D_FLAG (unitless)\nNi_DL_CONC (nanomoles per liter (nM))\nNi_DL_STDEV (nanomoles per liter (nM))\nNi_DL_FLAG (unitless)\nNi_S_CONC (nanomoles per liter (nM))\nNi_S_STDEV (nanomoles per liter (nM))\nNi_S_FLAG (unitless)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_940164_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_940164_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_940164_v1/index.htmlTable https://www.bco-dmo.org/dataset/940164 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_940164_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_940164_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_940164_v1
log in [Algal consumption data: Tegula with Pisaster ochraceus as the predator] - Algal consumption data from Tegula in the presence of the predator Pisaster ochraceus, displaying anti-predatory responses or not within mesocosms at Bodega Marine Lab in 2018 (Trophic consequences of ocean acidification: Intertidal sea star predators and their grazer prey) To examine the impacts of fear removal on the strength of trophic cascades, we measured the amount of algae (Ulva spp.) consumed by Tegula funebralis that either displayed either an anti-predatory response to its predators, Pisaster ochraceus and Cancer productus, or ignored the predators. Additionally, we used two species of predators with differing consumption rates to test how predator traits might mediate the effect of removal on trophic cascade strength. The experiment was conducted within laboratory mesocosms at Bodega Marine Lab in 2018.\n\nThis dataset reports results for experiments with Cancer productus as the predator.  See \"Related Datasets\" section for results from the experiments with Pisaster ochraceus as the predator.\n\ncdm_data_type = Other\nVARIABLES:\ndate (unitless)\ntime_local (Time, unitless)\ntime (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\npisaster (unitless)\npisaster_size (unitless)\ncontainer (unitless)\nseatable (unitless)\nTreatment (unitless)\nsnail (unitless)\nstart (grams (g))\nend (grams (g))\nalgae_consumed (grams (g))\nDay (count (days))\n BCO-DMO bcodmo_dataset_947757_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_936596_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_936596_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_936596_v1/ public [Amazon plume POC biomarkers] - Composition and concentration of individual biomarkers in particulate organic carbon collected during two cruises to the Amazon River plume during R/V Knorr cruise KN197-08 in 2010 and R/V Melville cruise MV1110 in 2011 (Amazon iNfluence on the Atlantic: CarbOn export from Nitrogen fixation by DiAtom Symbioses) These data include composition and concentration of individual biomarkers collected during two cruises to the Amazon River plume. Particulate organic carbon (POC) was collected in 2010 (high discharge) on a cruise aboard the R/V Knorr between 2010-05-23 and 2010-06-21, and in 2011 (low discharge) on a cruise aboard the R/V Melville between 2011-09-05 and 2011-10-06. Water was collected using CTD water sampling and particulate material was collected using 0.7 micrometer GF/F filters.\n\nThese data help to clarify the Amazon River plume's impact on the biological pump of the tropical Atlantic Ocean, consistent with a river plume fueling primary production, and with increased zooplankton and bacteria contributions to POC composition at depth and in the POC that is vertically exported. All POC samples were collected by Dr. Patricia Medeiros at the University of Georgia.\n\ncdm_data_type = Other\nVARIABLES:\nStation (unitless)\ndepth (m)\nCompound (unitless)\nConcentration (micrograms per gram organic carbon (ug g-1 OC))\nlatitude (degrees_north)\nlongitude (degrees_east)\nISO_DateTime_Local (unitless)\ntime (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_936596_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_936596_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_936596_v1/index.htmlTable https://www.bco-dmo.org/dataset/936596 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_936596_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_936596_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_936596_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_936369_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_936369_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_936369_v1/ public [Amazon plume trap biomarkers] - Composition and concentration of individual biomarkers collected by particle interceptor traps in the Amazon River plume during R/V Knorr cruise KN197-08 in 2010 and R/V Melville cruise MV1110 in 2011 (Amazon iNfluence on the Atlantic: CarbOn export from Nitrogen fixation by DiAtom Symbioses) These data include composition and concentration of individual biomarkers collected during two cruises to the Amazon River plume. Particulate organic carbon (POC) was collected in 2010 (high discharge) on a cruise aboard the R/V Knorr between 2010-05-23 and 2010-06-21, and in 2011 (low discharge) on a cruise aboard the R/V Melville between 2011-09-05 and 2011-10-06. POC sinking vertically from the surface ocean was collected using 12-polycarbonated tube free-floating surface-tethered particle interceptor traps, capturing ~1 to 3-days of accumulated sinking material. Then, the particulate material was collected using 0.7 micrometer GF/F filters.\n\nThese data help to clarify the Amazon River plume's impact on the biological pump of the tropical Atlantic Ocean, consistent with a river plume fueling primary production, and with increased zooplankton and bacteria contributions to POC composition at depth and in the POC that is vertically exported. Sediment trap collections were performed by Dr. William Berelson at the University of Southern California and POC samples were collected by Dr. Patricia Medeiros at the University of Georgia.\n\ncdm_data_type = Other\nVARIABLES:\nStation (unitless)\ndepth (m)\nCompound (unitless)\nConcentration (micrograms per gram organic carbon (ug g-1 OC))\nlatitude (degrees_north)\nlongitude (degrees_east)\nISO_DateTime_Local (unitless)\ntime (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_936369_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_936369_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_936369_v1/index.htmlTable https://www.bco-dmo.org/dataset/936369 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_936369_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_936369_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_936369_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_949773_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_949773_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_949773_v1/ public [Argyle Creek temperatures (HOBO) from inside mussel bed] - Argyle Creek temperatures (HOBO) from inside mussel bed (Collaborative Research: Microscale interactions of foundation species with their fluid environment: biological feedbacks alter ecological interactions of mussels) This dataset includes water temperature data measured at 30 minute intervals in a mytilid mussel bed (Mytilus spp.) by a HOBO Pendant MX logger (MX2201, Onset Computer Corporation, Bourne, MA). The site was located at Argyle Creek on San Juan Island, WA, USA from 2019 to 2024.\n\ncdm_data_type = Other\nVARIABLES:\ntime (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\nISO_Datetime_PST (unitless)\nLocation (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\nWater_Temp (degrees Celcius (degC))\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_949773_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_949773_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_949773_v1/index.htmlTable https://www.bco-dmo.org/dataset/949773 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_949773_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_949773_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_949773_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_644012_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_644012_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_644012_v1/ public [AUV_MontereyBay_Makai_CTD] - Autonomous Underwater Vehicle Monterey Bay Time Series - AUV Makai CTD (Center for Microbial Oceanography: Research and Education) Autonomous Underwater Vehicle Monterey Bay Time Series - AUV Makai CTD\n\ncdm_data_type = Other\nVARIABLES:\ntime (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\nlatitude (degrees_north)\nlongitude (degrees_east)\ndepth (m)\ntemp (degrees Celsius)\nsal (dimensionless)\nchl_a_fluor (micrograms/liter)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_644012_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_644012_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_644012_v1/index.htmlTable https://www.bco-dmo.org/dataset/644012 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_644012_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_644012_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_644012_v1
log in [Bacteria Counts CTD Bottle Measurements] - Bacteria Counts CTD Bottle Measurements from CTD samples collected during R/V Hugh R. Sharp cruise HRS2204 from Apr to May 2022 (Collaborative Research: The importance of particle disaggregation on biogeochemical flux predictions) These data include measurements of free bacteria in whole seawater and particle-associated bacteria for particles larger than 1.2 microns from CTD bottle water samples collected during a cruise on the Northeast Continental Shelf to study particle disaggregation. One cruise was completed aboard the R/V Hugh R. Sharp from 2022-04-21 through 2022-05-02 (HRS 22-04), which visited a variety of stations and hydrodynamic environments associated with the Northeast Continental Shelf of the United States. Stations ranged from Georges Bank and the Great South Channel near the Gulf of Maine, Martha's Vineyard, the mouth of the Sakonnet River near Newport, Rhode Island, and Hudson Canyon near New York. These data were collected as part of a study to clarify the importance of hydrodynamic forces on the cohesion, aggregation, and breakup of marine particles. These data were collected by Dr. Austin Grubb of the Rutgers University on the cruise led by Dr. Matthew Rau (chief scientist) of the George Washington University.\n\ncdm_data_type = Other\nVARIABLES:\nID (unitless)\nStation (unitless)\nCTD (unitless)\ndepth (m)\ntime (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\nlatitude (degrees_north)\nlongitude (degrees_east)\nFree_bacteria (cells/ml)\nParticle_associated_bacteria_concentration (cells/ml)\n BCO-DMO bcodmo_dataset_945987_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_937302_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_937302_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_937302_v1/ public [BAIT Bottle Data from Trace-metal CTD Casts] - Concentrations of trace metals and dissolved macronutrients and CTD sensor data from four cruises in the Bermuda Atlantic Time-series Study (BATS) region in March, May, August and November 2019 (NSFGEO-NERC: Collaborative Research: Using Time-series Field Observations to Constrain an Ocean Iron Model) These data include the concentrations of trace metals (dissolved and soluble iron, dissolved and soluble manganese, dissolved aluminum) and dissolved macronutrients (nitrate+nitrite, phosphate, reactive silicate) determined in water-column samples collected using a trace-metal clean CTD rosette, or an inflatable dinghy, during four cruises in the Bermuda Atlantic Time-series Study (BATS) region in March, May, August and November 2019. Also presented are CTD sensor data (pressure, temperature, salinity, chlorophyll fluorescence, dissolved oxygen) and derived variables (water depth, density) corresponding to the CTD-rosette bottle samples. The samples and associated data were collected for the BAIT project (GEOTRACES Process Study GApr13). Post-cruise sample analyses were performed at Old Dominion University (trace metals) and the Bermuda Institute of Ocean Sciences (macronutrients).\n\ncdm_data_type = Other\nVARIABLES:\nCruise_ID (unitless)\nStation (unitless)\nSample_ID (unitless)\nPressure (decibars)\ndepth (m)\nlatitude (degrees_north)\nlongitude (Long, degrees_east)\ntime (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\nDate_UTC (unitless)\nTime_UTC (unitless)\nTemp (degrees Celsius)\nSal (unitless)\nChl (milligrams per cubic meter (mg/m^3))\nO2 (micromoles per kilogram (umol/kg))\nSigma_theta (unitless)\nDFe (nanomoles per liter (nM))\nDFe_Flag (unitless)\nsFe (nanomoles per liter (nM))\n... (13 more variables)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_937302_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_937302_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_937302_v1/index.htmlTable https://www.bco-dmo.org/dataset/937302 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_937302_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_937302_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_937302_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_915772_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_915772_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_915772_v1/ public [Baltic GasEx 1 SF6 and Helium] - SF6 and helium data from a tracer release experiment conducted June 2018 in the coastal Baltic Sea during FS Alkor cruise AL510 (Collaborative Research: Influence of Surfactants on Air-Sea Gas Exchange: 3He/SF6 Experiments in the Baltic Sea) These data are 3He and SF6 from a tracer release experiment conducted in the coastal Baltic Sea. The experiment was conducted in June 2018 and the goal was to determine gas transfer velocities in the Baltic Sea, where it is thought that excess surfactants and limited wind fetch would affect the relationship between wind speed and gas transfer velocity.\n\ncdm_data_type = Other\nVARIABLES:\ntime (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\nStation (unitless)\nLatitude (degrees_north)\nlongitude (degrees_east)\ndepth (m)\nTemperature (degrees Celsius (°C))\nSalinity (PSU)\nHe3_excess (cubic centimeters at standard temperature and pressure per gram times 10^-16 (ccSTP/g*10-16))\nSF6_rep1 (picomoles per kilogram (pmol/kg))\nSF6_rep2 (picomoles per kilogram (pmol/kg))\nSF6_rep3 (picomoles per kilogram (pmol/kg))\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_915772_v1/index.htmlTable https://www.bco-dmo.org/dataset/915772 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_915772_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_915772_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_915772_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_3782_v6 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_3782_v6.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_3782_v6/ public [BATS discrete bottle data] - Discrete bottle samples collected at the Bermuda Atlantic Time-series Study (BATS) site in the Sargasso Sea from October 1988 through December 2023 (Bermuda Atlantic Time-series Study) Data presented here are discrete bottle samples from the Bermuda Atlantic Time-series Study (BATS) site located 80 km SE of Bermuda (31°40N, 64°10W) in the Sargasso Sea for October 1988 (cruise 10001) through December 2023 (cruise 10411). Measurements were collected from the core monthly BATS cruises and the near-biweekly (depending on ship availability) BATS Bloom cruises during February through April. The sample parameter list has been mostly consistent for the full time-series record and includes: salinity, dissolved oxygen, dissolved inorganic carbon, alkalinity, nutrients (nitrate + nitrite, nitrite, phosphate, silicate), particulate organics (carbon, nitrogen, phosphorous), particulate silicate, total organic carbon and nitrogen, total dissolved phosphorus, bacterial enumeration, and flow cytometry counts of picoplankton. The HPLC derived phytoplankton pigment data which are collected synoptically with many of the above parameters are reported in a separate dataset.\n\ncdm_data_type = Other\nVARIABLES:\ntime (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\nBottle_ID (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\nVessel (unitless)\nCruise_ID (unitless)\nCruise_type (unitless)\nCruise_num (unitless)\nCast_num (unitless)\nBottle_num (unitless)\nQF_bottle (unitless)\ndepth (m)\nQF1_Depth (unitless)\nTemp (degrees Celsius (°C))\nQF2_Temp (unitless)\nCTD_Salinity (dimensionless)\nQF3_CTD_Sal (unitless)\n... (53 more variables)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_3782_v6_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_3782_v6_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_3782_v6/index.htmlTable https://www.bco-dmo.org/dataset/3782 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_3782_v6.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_3782_v6&showErrors=false&email= BCO-DMO bcodmo_dataset_3782_v6
log in [BATS discrete bottle data] - Discrete bottle samples collected at the Bermuda Atlantic Time-series Study (BATS) site in the Sargasso Sea from October 1988 through June 2024 (Bermuda Atlantic Time-series Study) Data presented here are discrete bottle samples from the Bermuda Atlantic Time-series Study (BATS) site located 80 km SE of Bermuda (31°40N, 64°10W) in the Sargasso Sea for October 1988 (cruise 10001) through June 2024 (cruise 10416). Measurements were collected from the core monthly BATS cruises and the near-biweekly (depending on ship availability) BATS Bloom cruises during February through April. The sample parameter list has been mostly consistent for the full time-series record and includes: salinity, dissolved oxygen, dissolved inorganic carbon, alkalinity, nutrients (nitrate + nitrite, nitrite, phosphate, silicate), particulate organics (carbon, nitrogen, phosphorous), particulate silicate, total organic carbon and nitrogen, total dissolved phosphorus, bacterial enumeration, and flow cytometry counts of picoplankton. The HPLC derived phytoplankton pigment data which are collected synoptically with many of the above parameters are reported in a separate dataset.\n\ncdm_data_type = Other\nVARIABLES:\ntime (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\nBottle_ID (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\nVessel (unitless)\nCruise_ID (unitless)\nCruise_type (unitless)\nCruise_num (unitless)\nCast_num (unitless)\nBottle_num (unitless)\nQF_bottle (unitless)\ndepth (m)\nQF_Depth (unitless)\nTemperature (degrees Celsius ( °C))\nQF_Temp (unitless)\nCTD_Salinity (dimensionless)\nQF_CTD_Sal (unitless)\n... (49 more variables)\n BCO-DMO bcodmo_dataset_3782_v7
log in [BATS HPLC pigments] - HPLC and fluorometric derived phytoplankton pigment concentrations from seawater collected at the Bermuda Atlantic Time-series Study (BATS) site from October 1988 through December 2023 (Bermuda Atlantic Time-series Study) Data presented here contain HPLC derived phytoplankton pigments and fluorometric chlorophyll-a from the BATS site for years 1988 to 2023.  Water samples are typically collected from 12 depths in the upper 250 meters of the water column, and then filtered under low vacuum through a 25mm GF/F filter. The filter is then flash frozen in liquid nitrogen and stored at -80 degrees C. Shoreside, analysis is performed on an HPLC using a method modified by Dr. R. Bidigare from the Wright et al. (1991) procedure.  This method identifies the pigments chlorophyll-c3, chlorophyll-c2, peridinin, 19'-butanoyloxyfucoxanthin, fucoxanthin, 19'-hexanoyloxyfucoxanthin, prasinoxanthin, diadinoxanthin, alloxanthin, diatoxanthin, lutein, zeaxanthin, chlorophyll-b, chlorophyll-a, divinyl chlorophyllide-a, alpha and beta carotene. Additionally, chlorophyll-a and phaeopigments are analyzed using a fluorometric assay.\n\ncdm_data_type = Other\nVARIABLES:\nID (unitless)\ntime (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\nVessel (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\nCruise_type (unitless)\nCruise_num (unitless)\nCast (unitless)\nCast_type (unitless)\nBottle_number (unitless)\nQF_Niskin_GoFlo (uniteless)\ndepth (m)\nQF_depth (unitless)\np1 (nanograms per kilogram (ng/kg))\nQF_p1 (unitless)\np2 (nanograms per kilogram (ng/kg))\nQF_p2 (unitless)\np3 (nanograms per kilogram (ng/kg))\n... (40 more variables)\n BCO-DMO bcodmo_dataset_893521_v6
log in [BATS HPLC pigments] - HPLC and fluorometric derived phytoplankton pigment concentrations from seawater collected at the Bermuda Atlantic Time-series Study (BATS) site from October 1988 through June 2024 (Bermuda Atlantic Time-series Study) Data presented here contain HPLC derived phytoplankton pigments and fluorometric chlorophyll-a from the BATS site for October 1988 to June 2024. Samples are typically collected from 12 depths in the upper 250 meters of the water column where by 4l of seawater is filtered under low vacuum through a 25mm GF/F filter. The filter is then flash frozen in liquid nitrogen and stored at -80C. Shoreside, analysis is performed on a HPLC using a modified version of Wright et al., 1991 (modified by Dr R. Bidigare,University of Hawaii) which identifies the following pigments: Chlorophyll C3, Chlorophyll C2, Peridinin, 19'Butanoyloxyfucoxanthin, Fucoxanthin, 19'Hexanoyloxyfucoxanthin, Prasinoxanthin, Violoxanthin, Diadinoxanthin,, Alloxanthin, Diatoxanthin, Lutein, Zeaxanthin, Chlorophyll b, Chlorophyll a, Divinyl, chlorophyll_a, Alpha and beta carotene. Additionally, chlorophyll_A and phaeopigments are analyzed using a fluorometeric assay.\n\ncdm_data_type = Other\nVARIABLES:\nID (unitless)\ntime (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\nVessel (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\nCruise_type (unitless)\nCruise_num (unitless)\nCast (unitless)\nCast_type (unitless)\nBottle_number (unitless)\nQF_Niskin_GoFlo (uniteless)\ndepth (m)\nQF_depth (unitless)\np1 (nanograms per kilogram (ng/kg))\nQF_p1 (unitless)\np2 (nanograms per kilogram (ng/kg))\nQF_p2 (unitless)\np3 (nanograms per kilogram (ng/kg))\n... (40 more variables)\n BCO-DMO bcodmo_dataset_893521_v7
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_940414_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_940414_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_940414_v1/ public [Benthic DO and nutrient fluxes from sediment core incubations] - Benthic dissolved oxygen and nutrient fluxes from sediment core incubations conducted aboard the R/V Oceanus and R/V Robert G. Sproul during nine cruises from 2018-2022 from the Oregon and Washington shelf (Benthic Biogeochemical Exchange Dynamics on the Oregon Shelf) Continental shelf sediments are sinks for dissolved oxygen and sources of many major and minor nutrients required for oceanic surface primary production, resulting in a strong coupling between benthic and pelagic biogeochemical cycling. However, the influence and spatiotemporal variability of benthic remineralization on bottom-water chemistry and the supply of nutrients to surface waters has received minimal study on the Oregon-Washington (OR-WA) shelf. To expand knowledge of these areas, benthic flux measurements were made approximately quarter-annually at inner-shelf and mid-shelf sites on the Newport Hydrographic (NH) Line at 44.6˚N between December 2017 and July 2019, and again between 44.5˚N and 46.5˚N along the mid-shelf during July and September of 2022. The benthic fluxes were determined using a novel set-up for ex situ core incubations. The dataset described here details all benthic fluxes measured during sediment incubation experiments, conducted during the cruises from February 2018 to July 2019, at the sites on the NH Line, and during July and September of 2022. The paired bottom water dataset is located in a separate BCO-DMO dataset (dataset ID 793115). Additionally, during the 2022 cruises, community composition data were collected using box corers. These data are also located in a separate BCO-DMO dataset (dataset ID 880760).\n\ncdm_data_type = Other\nVARIABLES:\nCruise_ID (unitless)\nCore_number (unitless)\nSite_name (unitless)\ntime (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\nISO_DateTime_PST (unitless)\nJulian_day (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\ndepth (m)\nTemp_mean (degrees Celsius)\nTemp_std (degrees Celsius)\nDO (millimoles per square meters per day (mmol/(m^2 day)))\nDIC (millimoles per square meters per day (mmol/(m^2 day)))\n... (7 more variables)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_940414_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_940414_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_940414_v1/index.htmlTable https://www.bco-dmo.org/dataset/940414 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_940414_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_940414_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_940414_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_945973_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_945973_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_945973_v1/ public [Biogenic Silica CTD Bottles] - Biogenic Silica from CTD samples collected during R/V Hugh R. Sharp cruise HRS2204 from Apr to May 2022 (Collaborative Research: The importance of particle disaggregation on biogeochemical flux predictions) These data include measurements of biogenic silica from CTD bottle water samples collected during a cruise on the Northeast Continental Shelf to study particle disaggregation. One cruise was completed aboard the R/V Hugh R. Sharp from 2022-04-21 through 2022-05-02 (HRS22-04), which visited a variety of stations and hydrodynamic environments associated with the Northeast Continental Shelf of the United States. Stations ranged from Georges Bank and the Great South Channel near the Gulf of Maine, Martha's Vineyard, the mouth of the Sakonnet River near Newport, Rhode Island, and Hudson Canyon near New York. These data were collected as part of a study to clarify the importance of hydrodynamic forces on the cohesion, aggregation, and breakup of marine particles. These data were collected by Dr. Austin Grubb of the Rutgers University on the cruise led by Dr. Matthew Rau (chief-sci) of the George Washington University.\n\ncdm_data_type = Other\nVARIABLES:\nID (unitless)\nStation (unitless)\nCTD (unitless)\ndepth (m)\ntime (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\nlatitude (degrees_north)\nlongitude (degrees_east)\nbSi ((umol/Si/L))\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_945973_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_945973_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_945973_v1/index.htmlTable https://www.bco-dmo.org/dataset/945973 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_945973_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_945973_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_945973_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_942884_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_942884_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_942884_v1/ public [Biogeochemical Measurements from Surface Waters at the North Shore of Mo'orea, French Polynesia] - Biogeochemical and microbial parameters collected during spatial surveys on a coral reef at Mo'orea's North Shore (French Polynesia) in September 2017, May 2019, and April 2022 (Collaborative Research: Characterizing microbial transformation of marine DOM at the molecular level using untargeted metabolomic) This data includes biogeochemical and microbial parameters collected during spatial surveys on a coral reef at Mo'orea's North Shore (French Polynesia). Sampling took place in September 2017, May 2019, and April 2022. In 2019 and 2022, samples were also collected across three midday Lagrangian transect deployments, following water flowing linearly from ocean-facing forereefs over a reef crest to backreef lagoons. A variety of methods were used including colorimetric detection of inorganic nutrients, high-temperature combustion/oxidation, or chemical oxidation for the analysis of dissolved organic carbon (DOC) and particulate organic carbon and nitrogen (POC and PON) concentrations, isotope ratio mass spectrometry for determining stable carbon and nitrogen isotopes of particulate organic matter (POM), scanning excitation-emissions fluorescence measurements of whole seawater to quantify fluorescent dissolved organic matter (fDOM), flow cytometry-based cell counts to quantify bacterial abundance, and liquid chromatography coupled to tandem mass spectrometry to identify individual chemical features within marine DOM. These data help to quantify how biogeochemical parameters change in this region of the reef as open ocean waters flow onto the reef, over the reef, and then mix with waters in the bay. This work helps us to better identify external nutrients to the reef and how reef organisms modify and cycle carbon, nitrogen, and phosphorus over the reef. The results may be of use to physical, chemical, and biological oceanographers who study tropical reef systems and could inform other studies in the region including those conducted as part of the Mo'orea Coral Reef (MCR) Long Term Ecology Research (LTER) program. The samples were collected, measured (for a subset as noted below), and analyzed primarily by members of Lihini Aluwihare's group.\n\ncdm_data_type = Other\nVARIABLES:\nSample_ID (unitless)\nSampling_Strategy (unitless)\nMassiveID (unitless)\nMS_Sample_ID_1 (unitless)\nMS_Sample_ID_2 (unitless)\nYear (unitless)\nlongitude (degrees_east)\nlatitude (degrees_north)\n... (41 more variables)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_942884_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_942884_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_942884_v1/index.htmlTable https://www.bco-dmo.org/dataset/942884 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_942884_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_942884_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_942884_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_916288_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_916288_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_916288_v1/ public [BLOOFINZ-IO Flow Cytometry Abundance] - Abundances of phytoplankton and non-pigmented bacteria determined by flow cytometry from water samples collected on R/V Roger Revelle cruise RR2201 in the Eastern Indian Ocean during February and March 2022 (Collaborative Research: Mesoscale variability in nitrogen sources and food-web dynamics supporting larval southern bluefin tuna in the eastern Indian Ocean) This dataset is from CTD-based water collections of samples for phytoplankton and non-pigmented bacteria in the Indian Ocean on an R/V Roger Revelle cruise in Feb-March 2022 led by Dr. Michael Landry to investigate the plankton dynamics and impacts on growth and survival of larval Southern Bluefin Tuna (SBT). These flow cytometry results include abundances of phytoplankton taxa (Prochlorococcus, Synechococcus, photosynthetic eukaryotes), non-pigmented bacteria (HBACT), heterotrophic eukaryotes (HEUK), and potential mixotrophic eukaryotes (MEUK). Photosynthetic eukaryote (PEUK) abundance includes the MEUK cells reported (e.g., MEUK are a subset of the PEUK cells with chlorophyll and acidic-vacuoles). Note that MEUK cells likely also include some HEUK with intact chlorophyll-bearing prey, but there is no way to definitively separate these cells from each other.\n\ncdm_data_type = Other\nVARIABLES:\nCruise (unitless)\nStation (unitless)\ntime (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\nDate (unitless)\nLatitude (degrees_north)\nlongitude (degrees_east)\nCTD_Number (unitless)\ndepth (m)\nPRO (cells per milliliter)\nSYN (cells per milliliter)\nPEUK (cells per milliliter)\nHBACT (cells per milliliter)\nHEUK (cells per milliliter)\nMEUK (cells per milliliter)\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_916288_v1/index.htmlTable https://www.bco-dmo.org/dataset/916288 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_916288_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_916288_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_916288_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_956590_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_956590_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_956590_v1/ public [BLOOFINZ-IO Mesozooplankton biomass and isotopes] - Size fractionated mesozooplankton biomass, elemental and stable isotope measurements derived from plankton net tows conducted on R/V Roger Revelle cruise RR2201 (BLOOFINZ-IO) in the Argo Basin region off NW Australia during January-March 2022 (Collaborative Research: Mesoscale variability in nitrogen sources and food-web dynamics supporting larval southern bluefin tuna in the eastern Indian Ocean) This dataset contains size fractionated mesozooplankton biomass, elemental and stable isotope measurements derived from plankton net tows conducted from the cruise RR2201 of R/V Roger Revelle (BLOOFINZ-IO, January-March 2022) in the Argo Basin region off NW Australia.\n\ncdm_data_type = Other\nVARIABLES:\nCruise (unitless)\nTow_ID (unitless)\nHaul (unitless)\nStation (unitless)\nCycle (unitless)\ntime (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\nISO_DateTime_Local (unitless)\nTime_of_day (unitless)\nlatitude (degrees_north)\nlongitude (Long, degrees_east)\nNet_type (unitless)\nMesh_size (micrometers (um))\ndepth (m)\nTow_Duration (unitless)\nVol (cubic meters)\nDW_0d05_0d1_mm (milligrams dry weight per square meter (mg DW m-2))\nDW_0d1_0d2_mm (milligrams dry weight per square meter (mg DW m-2))\nDW_0d2_0d5_mm (milligrams dry weight per square meter (mg DW m-2))\nDW_0d5_1_mm (milligrams dry weight per square meter (mg DW m-2))\nDW_1_2_mm (milligrams dry weight per square meter (mg DW m-2))\nDW_2_5_mm (milligrams dry weight per square meter (mg DW m-2))\nDW_gt_5_mm (milligrams dry weight per square meter (mg DW m-2))\nDW_gt_0d2_mm_TOTAL (milligrams dry weight per square meter (mg DW m-2))\nDW_TOTAL (milligrams dry weight per square meter (mg DW m-2))\nC_0d05_0d1_mm (milligrams carbon per square meter (mg C m-2))\n... (55 more variables)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_956590_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_956590_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_956590_v1/index.htmlTable https://osprey.bco-dmo.org/dataset/956590 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_956590_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_956590_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_956590_v1
log in [BVAL bottle data (BATS Validation cruises)] - Discrete bottle samples collected during BATS Validation (BVAL) cruises from April 1991 through July 2024 (Bermuda Atlantic Time-series Study) Data presented here are discrete bottle samples for BATS validation (BVAL) cruise 50001 (April 1991) through BVAL cruise 50061 (June/July 2024). The sample parameter list has been mostly consistent for the full time-series record and includes: salinity, dissolved oxygen, dissolved inorganic carbon, alkalinity, nutrients (nitrate + nitrite, nitrite, phosphate, silicate), particulate organics (carbon, nitrogen, phosphorous), particulate silicate, total organic carbon and nitrogen, total dissolved phosphorus, bacterial enumeration, and flow cytometry counts of picoplankton.\n\ncdm_data_type = Other\nVARIABLES:\nID (unitless)\ntime (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\nVessel (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\nCruise_type (unitless)\nCruise_num (unitless)\nCast_type (unitless)\nCast_num (unitless)\nBottle_num (unitless)\nQF_Niskin_GoFlo (unitless)\ndepth (m)\nQF1_Depth (unitless)\nTemp (degrees Celsius)\nQF2_Temp (unitless)\nCTD_Sal (PSS-78)\nQF3_CTD_Sal (unitless)\nSal1 (PSS-78)\nQF4_Sal1 (unitless)\nSigma_theta (kilogram per cubic meter (kg/m^3))\nQF5_Sigma_theta (unitless)\n... (45 more variables)\n BCO-DMO bcodmo_dataset_917255_v6
log in [BVAL bottle data (BATS Validation cruises)] - Discrete bottle samples collected during BATS Validation (BVAL) cruises from April 1991 through June 2023 (Bermuda Atlantic Time-series Study) Data presented here are discrete bottle samples for BATS validation (BVAL)  Cruise # 1 (April 1991) through BVAL cruise # 60 (June 2023). Following the first several years of the BATS project it was deemed necessary by the JGOFS steering committee and BATS PIs to conduct validation cruises in the vicinity of the nominal BATS site to better understand the mesoscale and larger scale variability of the region. In particular, a focus of the BVAL cruises was to assess the spatial scale representation of the BATS and Hydrostation ‘S' programs. Initial focus of the BVAL cruises was to investigate mesoscale variability and  meridional gradients of the local region. Later, cruises focused on specific mesoscale eddies (e.g., McGillicuddy et al., 1998; McGillicuddy et al., 1999) and effects of tropical cyclones through the local region. In the year 2000 it was deemed more important to document the larger scale changes in the North Atlantic Subtropical gyre so BVAL cruises established a transect line from ~ 35N to 19N (Bermuda to Puerto Rico) very similar to the WOCE A22 repeat hydrography line (Johnson et al., 2020). These annual Bermuda to Puerto Rico transects have been run since 2000 and target stations at every one degree of latitude and typically have been conducted in September/October of each year to capture maximal heat content in the upper ocean. However, since this timeframe coincides with high tropical cyclone activity the cruises were reluctantly (as of 2022) moved to begin in June/July of each year for safety and operational reasons. In the pentad prior to 2022 every BVAL cruise was significantly impacted by multiple tropical cyclones. Parameters presented are the same as provided in the standard BATS bottle files. To browse cruise tracks please see the supplemental information.\n\ncdm_data_type = Other\nVARIABLES:\nID (unitless)\ntime (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\nVessel (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\nCruise_type (unitless)\nCruise_num (unitless)\nCast_type (unitless)\nCast_num (unitless)\n... (61 more variables)\n BCO-DMO bcodmo_dataset_917255_v5
log in [BVAL pigments (BATS Validation cruises)] - HPLC and fluorometric derived phytoplankton pigment concentrations from seawater collected on BATS Validation cruises from June 1996 to July 2024 (Bermuda Atlantic Time-series Study) Data presented here are discrete bottle HPLC derived phytoplankton pigments and fluorometric chlorophyll-a for BATS validation (BVAL) cruises from June 1996 (BVAL cruise #50016) through June/July 2024 (BVAL cruise #50061). Water samples are typically collected from 7-12 depths in the upper 250 meters of the water column, and then filtered under low vacuum through a 25mm GF/F filter. The filter is then flash frozen in liquid nitrogen and stored at -80 degrees C. Shoreside, analysis is performed on an HPLC using a method modified by Dr. R. Bidigare from the Wright et al. (1991) procedure. This method identifies the pigments chlorophyll-c3, chlorophyll-c2, peridinin, 19'-butanoyloxyfucoxanthin, fucoxanthin, 19'-hexanoyloxyfucoxanthin, prasinoxanthin, diadinoxanthin, alloxanthin, diatoxanthin, lutein, zeaxanthin, chlorophyll-b, chlorophyll-a, divinyl chlorophyllide-a, alpha and beta carotene. Additionally, chlorophyll-a and phaeopigments are analyzed using a fluorometric assay.\n\ncdm_data_type = Other\nVARIABLES:\nID (unitless)\ntime (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\nVessel (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\nCruise_type (unitless)\nCruise_num (unitless)\nCast (unitless)\nCast_type (unitless)\nBottle_number (unitless)\nQF_Niskin_GoFlo (uniteless)\ndepth (m)\nQF_depth (unitless)\np1 (nanograms per kilogram (ng/kg))\nQF_p1 (unitless)\np2 (nanograms per kilogram (ng/kg))\nQF_p2 (unitless)\n... (41 more variables)\n BCO-DMO bcodmo_dataset_926534_v6
log in [BVAL pigments (BATS Validation cruises)] - HPLC and fluorometric derived phytoplankton pigment concentrations from seawater collected on BATS Validation cruises from June 1996 to June 2023 (Bermuda Atlantic Time-series Study) Data presented here are discrete bottle HPLC derived phytoplankton pigments and fluorometric chlorophyll-a for BATS validation (BVAL) cruises from June 1996 (BVAL cruise #50016) through June 2023 (BVAL cruise #50060). Water samples are typically collected from 7-12 depths in the upper 250 meters of the water column, and then filtered under low vacuum through a 25mm GF/F filter. The filter is then flash frozen in liquid nitrogen and stored at -80 degrees C. Shoreside, analysis is performed on an HPLC using a method modified by Dr. R. Bidigare from the Wright et al. (1991) procedure. This method identifies the pigments chlorophyll-c3, chlorophyll-c2, peridinin, 19'-butanoyloxyfucoxanthin, fucoxanthin, 19'-hexanoyloxyfucoxanthin, prasinoxanthin, diadinoxanthin, alloxanthin, diatoxanthin, lutein, zeaxanthin, chlorophyll-b, chlorophyll-a, divinyl chlorophyllide-a, alpha and beta carotene. Additionally, chlorophyll-a and phaeopigments are analyzed using a fluorometric assay.\n\ncdm_data_type = Other\nVARIABLES:\nID (unitless)\ntime (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\nVessel (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\nCruise_type (unitless)\nCruise_num (unitless)\nCast (unitless)\nCast_type (unitless)\nBottle_number (unitless)\nQF_Niskin_GoFlo (uniteless)\ndepth (m)\nQF_depth (unitless)\np1 (nanograms per kilogram (ng/kg))\nQF_p1 (unitless)\np2 (nanograms per kilogram (ng/kg))\nQF_p2 (unitless)\n... (41 more variables)\n BCO-DMO bcodmo_dataset_926534_v4
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_904195_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_904195_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_904195_v1/ public [Cerro Mundo Temperature 2] - Environmental temperature data collected at Cerro Mundo Bay, San Cristobal, Galapagos from 2022-2023 (Galapagos 2021 project) (Temperature Regulation of Top-Down Control in a Pacific Upwelling System) Increased standing macroalgal biomass in upwelling zones is generally assumed to be the result of higher nutrient flux due to upwelled waters, However, other factors can strongly impact macroalgal communities. For example, herbivory and temperature, via their effects on primary producers and the metabolic demands of consumers, can also influence macroalgal biomass and productivity, respectively.  Although there is a fair number of studies looking at the interactive effects of herbivores and nutrients in both tropical and temperate regions, there is a lack of studies looking at these effects in tropical or subtropical upwelling regions. The purpose of this study was to measure the effects that herbivores, temperature, and nutrient availability have on standing macroalgal biomass. We manipulated nutrient availability and herbivory in six field experiments during contrasting productivity and thermal regimes (cool-upwelling and warm, non-upwelling season) on a subtidal nearshore rocky reef. \n\nHere, we present a set of temperature (°C) data collected at Cerro Mundo Bay, San Cristobal, Galapagos from September 2022 to February 2023. The environmental temperature was recorded every 15 minutes using a HOBO Water Temperature pro V2 Data Logger (Onset®) attached to the seafloor at a 10 meters depth mark.\n\ncdm_data_type = Other\nVARIABLES:\nDateTime_Local (unitless)\ntime (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\nTemp (Celcius)\nLatitude (degrees_north)\nlongitude (degrees_east)\ndepth (m)\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_904195_v1/index.htmlTable https://www.bco-dmo.org/dataset/904195 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_904195_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_904195_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_904195_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_894125_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_894125_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_894125_v1/ public [Cerro Mundo Temperature] - Temperature data collected at Cerro Mundo Bay, San Cristobal, Galapagos from July 2019 to August 2022 using an Onset HOBO Water Temperature Pro v2 Data Logger (The Role of Temperature in Regulating Herbivory and Algal Biomass in Upwelling Systems) Increased standing macroalgal biomass in upwelling zones is generally assumed to be the result of higher nutrient flux due to upwelled waters. However, other factors can strongly impact macroalgal communities. For example, herbivory and temperature, via their effects on primary producers and the metabolic demands of consumers, can also influence macroalgal biomass and productivity, respectively.  Although there are a fair number of studies looking at the interactive effects of herbivores and nutrients in both tropical and temperate regions, there is a lack of studies looking at these effects in tropical or subtropical upwelling regions. The purpose of this study was to measure the effects that herbivores, temperature, and nutrient availability have on standing macroalgal biomass. We manipulated nutrient availability and herbivory in six field experiments during contrasting productivity and thermal regimes (cool-upwelling and warm, non-upwelling season) on a subtidal nearshore rocky reef. \n\nHere, we present a set of temperature (°C) data collected at Cerro Mundo Bay, San Cristobal, Galapagos from July 2019 to August 2022. The environmental temperature was recorded every 15 minutes using a HOBO Water Temperature Pro v2 Data Logger (Onset®) attached to the seafloor at a 10 meters depth mark.\n\ncdm_data_type = Other\nVARIABLES:\nISO_DateTime_Local (unitless)\ntime (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\nTemp (degrees Celsius)\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_894125_v1/index.htmlTable https://www.bco-dmo.org/dataset/894125 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_894125_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_894125_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_894125_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_943455_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_943455_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_943455_v1/ public [Chlorophyll a fluorometry] - Fluorometric measurements of chlorophyll a from R/V Roger Revelle cruise RR2201 in the Eastern Indian Ocean (Argo Basin) during February 2022 (Collaborative Research: Mesoscale variability in nitrogen sources and food-web dynamics supporting larval southern bluefin tuna in the eastern Indian Ocean) This dataset contains fluorometric measurements of chlorophyll a from cruise RR2201 on R/V Roger Revelle (BLOOFINZ-IO, January-March 2022) in the Argo Basin region off NW Australia.\n\ncdm_data_type = Other\nVARIABLES:\nCruise (unitless)\nEvent (unitless)\ntime (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\nlatitude (degrees_north)\nlongitude (degrees_east)\nCycle_Day (unitless)\nCTD_Cast (unitless)\ndepth (m)\nChla (milligrams per cubic meter (mg m-3))\nPhaeo (milligrams per cubic meter (mg m-3))\nChl_Integr (milligrams per square meter (mg m-2))\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_943455_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_943455_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_943455_v1/index.htmlTable https://www.bco-dmo.org/dataset/943455 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_943455_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_943455_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_943455_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_926813_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_926813_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_926813_v1/ public [Coastal intertidal temperatures] - Intertidal temperatures measured via data loggers deployed at 19 rocky intertidal sites in California, USA and Baja California, Mexico from spring 2022 to fall 2023 (Predicting impacts of coastal species redistribution in a changing climate) Coastal zones are some of the most productive and most threatened ecosystems on Earth, yet our ability to predict their vulnerability or resilience is limited due to the highly dynamic nature of these habitats. Importantly, surface temperatures measured at broad scales (e.g., by satellites) cannot capture onshore temperatures which vary at meso- and micro-scales due to, e.g., aspect, solar radiation, waves, etc. We monitored intertidal temperatures via data loggers deployed at 19 rocky intertidal sites in California, USA and Baja California, Mexico. Loggers were deployed at 1.0 meter (m) above MLLW (mean lower-low water) at all sites and at 0.5 and 1.5 m at a subset of sites. At each site and tide height (for sites with multiple loggers), completeness of the temperature record varies but most provide continuous records for up to ~18 months from spring 2022 to fall 2023.\n\ncdm_data_type = Other\nVARIABLES:\nSite_Name (unitless)\nLatitude (degrees_north)\nlongitude (degrees_east)\nElevation (meters above mean lower-low water)\nISO_DateTime_PDT (unitless)\ntime (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\nTemperature (degrees Celsius)\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_926813_v1/index.htmlTable https://www.bco-dmo.org/dataset/926813 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_926813_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_926813_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_926813_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_925367_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_925367_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_925367_v1/ public [Cocos Ridge Water Column Data] - Water column data from the Cocos Ridge (Eastern Equatorial Pacific) acquired during cruise SR2113 between November - December 2021 (Collaborative Research: New approaches to study calcium carbonate dissolution on the sea floor and its impact on paleo-proxy interpretations) These data include water column parameters and carbonate chemistry measurements from the Cocos Ridge in the Eastern Equatorial Pacific. This cruise was aboard the R/V Sally Ride between 2021-11-20 and 2021-12-20. Instruments used were a CTD profiler, spectrophotometer, and Picarro cavity ring-down spectrometer. These data contributed to our understanding of the carbonate chemistry system in this region, particularly the water depth location of the calcite saturation horizon. Xuewu Liu and Kalla Fleger, members of the Robert Byrne lab at University of South Florida, measured alkalinity and pH;  Nick Rollins and Jaclyn Cetiner, members of the Will Berelson lab at University of Southern California, measured DIC and delta 13C of DIC.\n\ncdm_data_type = Other\nVARIABLES:\nStation (unitless)\nCast (unitless)\nDate (unitless)\nStart_Time (unitless)\ntime (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\nLatitude (degrees_north)\nlongitude (degrees_east)\nWater_Column_Depth (meters (m))\nPressure (decibars (db))\nTemperature (degrees Celcius (C))\nSalinty (parts per thousand (ppt))\nOxygen (micromoles per kilogram (umol/kg))\nAlkalinity (micromoles per kilogram (umol/kg))\npH (total pH scale)\nDIC (micromoles per kilogram (umol/kg))\nd13C_DIC (per mil (0/00))\nOmega_calcite (unitless)\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_925367_v1/index.htmlTable https://www.bco-dmo.org/dataset/925367 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_925367_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_925367_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_925367_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_955207_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_955207_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_955207_v1/ public [Concentration and δ15N of Amino Acids in Size-fractionated Particles] - Concentration and δ15N of amino acids in size-fractionated particles from the eastern tropical North Pacific ODZ in December 2020 (Collaborative research: Using individual amino acids N isotopes in sinking particles and surficial sediments to reconstruct euphotic zone N sources and trophic structure) This dataset includes the concentration and δ15N of bulk N and amino acids in size-fractionated particles. Particle samples were collected aboard the R/V Sally Ride (cruise SR2011) from December 23 – 30, 2020 with a McLane large volume pumping system (WTS-LV). These data assess the nitrogen sources utilized by different phytoplankton communities inhabiting the two chlorophyll maxima and the transformation of particulate organic matter within the oxygen-deficient zone.\n\ncdm_data_type = Other\nVARIABLES:\ntime (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\nlatitude (degrees_north)\nlongitude (degrees_east)\nStation (unitless)\nSize_fraction (micrometers)\ndepth (m)\nBulk_N (nanomoles per liter (nmol/L))\nPhe (nanomoles per liter (nmol/L))\nGlu (nanomoles per liter (nmol/L))\nbulk_d15N (per mil relative to air)\nd15N_Phe (per mil relative to air)\nd15N_Phe_sd (per mil relative to air)\nd15N_Glu (per mil relative to air)\nd15N_Glu_sd (per mil relative to air)\nTP (unitless)\nTP_sd (unitless)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_955207_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_955207_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_955207_v1/index.htmlTable https://osprey.bco-dmo.org/dataset/955207 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_955207_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_955207_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_955207_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_927918_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_927918_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_927918_v1/ public [Coral transplant site environmental data] - Temperature and light intensity measured at each transplant site during a reciprocal transplant experiment conducted at three sites in Turneffe Atoll, Belize from February to July 2022 (OCE-PRF: Drivers of phenotypic diversity and adaptation in asexually propagating coral populations) We sought to investigate the role of genetic, intra-clonal, and environmental variation in driving variation in fitness-related traits in the Caribbean thin finger coral, Porites divaricata (Taxonomy ID: 262287). We conducted a reciprocal transplant experiment whereby fragments from individual coral colonies of known genetic background were transplanted to three sites from February to July 2022. These sites included two mangrove sites and one reef site at Calabash Caye, Turneffe Atoll, Belize. Prior to and post-transplanting, fragments were measured to determine growth rate over this time. Coral fragments were also photographed to determine red channel intensity, which serves as a proxy for chlorophyll density. \n\nThis dataset contains environmental information about each transplanted site over this time period, based on loggers that recorded temperature and light levels. This data was collected by scientists at the University of Texas at Austin and the University of Belize.\n\nA related dataset contains the measures of these two coral traits (coral fragment growth and chlorophyll density (red channel intensity)) for each coral individual and also contains metadata about the genotype, origin site, transplanted site, rope at transplanted site, and age.\n\ncdm_data_type = Other\nVARIABLES:\nLogger (unitless)\nSite (unitless)\nISO_DateTime_Local (unitless)\ntime (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\nTemp (degrees Celsius)\nLight (photosynthetic photon flux density (PPFD))\nSite_Lat (degrees_north)\nlongitude (Site_lon, degrees_east)\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_927918_v1/index.htmlTable https://www.bco-dmo.org/dataset/927918 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_927918_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_927918_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_927918_v1
log in [Cruise optical properties: Absorbance] - Absorbance spectra from niskin bottle samples collected with depth profiles during R/V Hugh R. Sharp cruise HRS1608 Mid-Atlantic Bight in 2016 (Collaborative Research: Phlorotannins - An Important Source of Marine Chromophoric Dissolved Organic Matter?) Absorbance spectra from niskin bottle samples collected with depth profiles during R/V Hugh R. Sharp cruise HRS1608 Mid-Atlantic Bight in 2016.\n\ncdm_data_type = Other\nVARIABLES:\ndate (unitless)\nTime (unitless)\ntime (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\nlatitude (degrees_north)\nlongitude (Long, degrees_east)\nSalinity (unitless)\ndepth (Depth_sample, m)\ndepth_sample_comment (unitless)\nfile_name (unitless)\nE2_to_E3 (unitless)\nE2_to_E3_flag (unitless)\nS275_to_295 (1/nm)\nS275_to_295_flag (unitless)\nS350_to_400 (1/nm)\nS350_to_400_flag (unitless)\nS_R (unitless)\nS_R_flag (unitless)\n BCO-DMO bcodmo_dataset_938783_v1
log in [Damariscotta River mysids, zooplankton, and environmental variables] - Abundance of mysid shrimp and zooplankton along with environmental variables from surveys in Damariscotta River estuary, Maine from June 2023 to Feb 2024 (Collaborative Research: Characterizing benthic mysid ecology and animal-fluid interactions in response to background flow, food, and light conditions) Mysid shrimp are small crustaceans that are of particular importance in estuaries due to their role in nutrient subsidies and their importance in the diet of juvenile fishes. Despite their importance, they are typically undersampled relative to other zooplankton taxa. High abundances of Neomysis americana have been documented in the Damariscotta River estuary (DRE), Maine in late summer. While their summer abundance and small-scale diel migration behavior has been well described in the DRE, details about their basic ecology, life history, and reproduction in the DRE across seasons remains unknown. The purpose of this survey is to describe the seasonal abundance and population structure of N. americana in relation to environmental parameters and zooplankton-prey abundance. The survey was conducted every two weeks beginning in June of 2023 through October 2023 with monthly sampling being completed from November 2023 through May 2024. Mysid and zooplankton samples were collected from the dock at the Darling Marine Center These data files include environmental measurements made with a YSI sonde. Sonde-measured parameters include temperature, salinity, chlorophyll-a, and turbidity. These data files also include density and biomass information for zooplankton and mysid shrimp.\n\ncdm_data_type = Other\nVARIABLES:\nDate (units)\ntime_local (Time, units)\ntime (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\nSite (units)\nLatitude (degrees_north)\nlongitude (degrees_east)\nMax_Depth (units)\nTemp (degrees Celsius)\nSalinity (PSU (practical salinity units))\nTurbidity (NTU (nephelometric turbidity units))\nChlorophyll (milligrams per liter (mg/L))\nZooplankton_biomass (milligrams per cubic meter (mg/m3))\nMysid_density (individuals per cubic meter (#/m3))\n BCO-DMO bcodmo_dataset_925613_v1
log in [Deep-DOM Metaproteome] - Sample information for metaproteomic samples taken from Station 2 from R/V Knorr KN210-04 in the Western Atlantic Ocean between Uruguay and Barbados from March 2013 (Dissolved Organic Matter Composition in the Deep Atlantic Ocean) This dataset includes metadata from metaproteomic samples collected at Station 2 during the R/V Knorr Cruise KN210-04 in the Western Atlantic Ocean between Uruguay and Barbados in 2013. The accompanying total spectral counts for proteins and peptides from these samples are available on the PRoteomics IDEentifications Database (PRIDE) under Project PXD034035.\n\ncdm_data_type = Other\nVARIABLES:\nsample_id (unitless)\nms_ms_sample_name (unitless)\nstation_id (unitless)\ndepth (Depth_m, m)\nlatitude_dd (degrees_north)\nlongitude (Longitude_dd, degrees_east)\ndate_ISO (unitless)\ntime_h_m_s (unitless)\nminimum_filter_size_microns (microns)\nmaximum_filter_size_microns (microns)\ncruise_id (unitless)\nevent_number (unitless)\ntime (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\n BCO-DMO bcodmo_dataset_875622_v1
log in [Discrete bottle data from Hydrostation S] - Discrete bottle data from Hydrostation S in the Sargasso Sea from January 1955 through December 2023 (The Panulirus Hydrographic Stations (Hydrostation S)) Data presented here are discrete bottle samples from the Hydrostation S (or Panulirus) time series site located 20 km SE of Bermuda (32°10'N, 64°30'W) in the Sargasso Sea for January 1955 (cruise #9) through December 2023 (cruise #1465). Measurements were collected at near biweekly intervals where possible depending on weather and ship availability. Prior to the arrival of Weatherbird I in 1983, station occupation during winter months was limited due to the sea-going capabilities of the former vessels. The standard sample parameter list has been mostly consistent for the full time-series record  and includes temperature, salinity, and dissolved oxygen. Since October 1988 (cruise #643), data and samples have been collected using a SeaBird 911+ CTD and integrated Niskin rosette system. The largest data gap of almost one year was due to the loss of all the Niskin bottles and reversing thermometers following a break in the hydro wire on station #463 (April 1979).\n\ncdm_data_type = Other\nVARIABLES:\ntime (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\ndecimal_year (dimensionless)\nBottle_ID (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\nVessel (unitless)\nCruise_num (unitless)\nCast_num (unitless)\nBottle_num (unitless)\nQF_Bottle (unitless)\ndepth (m)\nQF1_Depth (unitless)\nCTD_Pressure (dbar)\nQF2_CTD_press (unitless)\nTemperature (degrees Celsius ( °C))\nQF3_Temp (unitless)\nCTD_Salinity (dimensionless)\n... (9 more variables)\n BCO-DMO bcodmo_dataset_859990_v4
log in [Discrete bottle data from Hydrostation S] - Discrete bottle data from Hydrostation S in the Sargasso Sea from January 1955 through December 2023 (The Panulirus Hydrographic Stations (Hydrostation S)) Data presented here are discrete bottle samples from the Hydrostation S (or Panulirus) time series site located 20 km SE of Bermuda (32°10'N, 64°30'W) in the Sargasso Sea for January 1955 (cruise #9) through December 2023 (cruise #1465). Measurements were collected at near biweekly intervals where possible depending on weather and ship availability. Prior to the arrival of Weatherbird I in 1983, station occupation during winter months was limited due to the sea-going capabilities of the former vessels. The standard sample parameter list has been mostly consistent for the full time-series record  and includes temperature, salinity, and dissolved oxygen. Since October 1988 (cruise #643), data and samples have been collected using a SeaBird 911+ CTD and integrated Niskin rosette system. The largest data gap of almost one year was due to the loss of all the Niskin bottles and reversing thermometers following a break in the hydro wire on station #463 (April 1979).\n\ncdm_data_type = Other\nVARIABLES:\ntime (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\ndecimal_year (dimensionless)\nBottle_ID (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\nVessel (unitless)\nCruise_num (unitless)\nCast_num (unitless)\nBottle_num (unitless)\nQF_Bottle (unitless)\ndepth (m)\nQF_Depth (unitless)\nCTD_Pressure (dbar)\nQF_CTD_press (unitless)\nTemperature (degrees Celsius ( °C))\nQF_Temp (unitless)\nCTD_Salinity (dimensionless)\n... (9 more variables)\n BCO-DMO bcodmo_dataset_859990_v5
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_926873_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_926873_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_926873_v1/ public [Dissolved Mercury Speciation in the California Current System] - Dissolved mercury (Hg) speciation in the California Current System from samples collected on R/V Roger Revelle cruise RR2105 in July to August 2021 (California Current Ecosystem Long Term Ecological Research site) Monomethylmercury (MMHg) is a neurotoxicant that biomagnifies in marine food webs, reaching high concentrations in apex predators. To predict changes in oceanic MMHg concentrations, it is important to quantify its sources and sinks. Here, we study mercury speciation in the California Current System through cruise sampling and modeling. Previous work in the California Current System has found that upwelling impacts mercury biogeochemistry by transporting mercury-enriched deep waters to productive surface waters. These upwelled waters originate within the California Undercurrent water mass and are subsequently advected as a surface water parcel to the California Current. By comparing the two major water masses, we find that the California Undercurrent contains elevated dissolved total mercury (Hg) and Dimethylmercury (DMHg) concentrations by 57% and 60%, respectively, compared to the California Current. We explain that these differences result from losses during advection, specifically scavenging and DMHg demethylation. We calculate a net DMHg demethylation rate constant of 1.8 ± 0.9% per day; and build an empirically constrained mass budget model to demonstrate that DMHg demethylation accounts for 59% of surface MMHg sources. These findings illustrate that DMHg is a significant source of MMHg in this region, challenging the current understanding of the major sources of marine MMHg. These data are associated with Adams et al., 2024 (doi: 10.21203/rs.3.rs-3909481/v1).\n\ncdm_data_type = Other\nVARIABLES:\nWater_Mass (unitless)\nStation_Name (unitless)\nISO_DateTime_PDT (unitless)\ntime (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\nLatitude (degrees_north)\nlongitude (degrees_east)\nTrace_Metal_Cast_Num (unitless)\ndepth (Depth_m, m)\nTemperature_C (degrees Celsius)\nSalinity_PSU (practical salinity units (PSU))\nOxygen_umol_kg (micromole per kilogram (umol/kg))\nDensity_kg_m3 (kilogram per cubed meter (kg/m^3))\n... (8 more variables)\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_926873_v1/index.htmlTable https://www.bco-dmo.org/dataset/926873 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_926873_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_926873_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_926873_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_915709_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_915709_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_915709_v1/ public [EN669 Bottle Data] - Carbonate chemistry analyses (total alkalinity, DIC, and d13C of DIC) from discrete bottle samples and CTD data from 12 stations sampled during R/V Endeavor cruise EN669 in the Gulf of Maine during August 2021 (CAREER: Gulf of Maine Temperature Trends and Variability from the early Holocene to the Present) This dataset includes seawater properties observed during cruise EN669 on the R/V Endeavor in the Gulf of Maine, conducted in August 2021 by PI Katherine Allen and the shipboard science party. Included are data from twelve CTD/Niskin rosette casts at twelve different stations accompanied by carbonate chemistry analyses (total alkalinity, DIC, and d13C of DIC) from discrete bottle samples collected during each cast. Bottle samples were analyzed by Adam Subhas at the Woods Hole Oceanographic Institution after the cruise was complete. Data from CTD casts were collected by the Endeavor's shipboard scientific party. These Gulf of Maine seawater observations provide constraints on growth conditions of synchronously collected foraminifera, enabling geochemical paleo-proxies to be assessed and refined for regional paleoceanographic reconstructions.\n\ncdm_data_type = Other\nVARIABLES:\nCTD_Cast (unitless)\nNiskin (unitless)\nPotTemp (degrees Celsius)\nSal (unitless)\nDepthm (meters (m))\nDIC_Bottle (unitless)\nDICumolkg (micromoles per kilogram seawater)\nd13Cpermil (permille vs PDB)\ntalkumolkg (micromoles per kilogram seawater)\nDICsd (micromoles per kilogram seawater)\nd13Csd (permille vs PDB)\ntalksd (micromoles per kilogram seawater)\nScan (unitless)\nTimeJ (days)\nTimeS (seconds)\nPrDM (meters (m))\nT090C (degrees Celsius)\nT190C (degrees Celsius)\nT2_T190C (degrees Celsius)\n... (39 more variables)\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_915709_v1/index.htmlTable https://www.bco-dmo.org/dataset/915709 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_915709_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_915709_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_915709_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_943861_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_943861_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_943861_v1/ public [Euphotic Zone] - Estimates of Euphotic Zone (EZ) depths from R/V Roger Revelle cruise RR2201 in the Eastern Indian Ocean (Argo Basin) from February to March 2022 (Collaborative Research: Mesoscale variability in nitrogen sources and food-web dynamics supporting larval southern bluefin tuna in the eastern Indian Ocean) This dataset contains estimates of Euphotic Zone (EZ) depths based on mean light extinction coefficients calculated from PAR sensor readings at 5 and 100 meters from cruise RR2201 on R/V Roger Revelle (BLOOFINZ-IO, January-March 2022) in the Argo Basin region off NW Australia.\n\ncdm_data_type = Other\nVARIABLES:\nCruise (unitless)\nEvent (unitless)\ntime (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\nlatitude (degrees_north)\nlongitude (degrees_east)\nCycle_Day (unitless)\nCTD_Cast (unitless)\nPAR_5m (umoles of photons m-2 s-1)\nPAR_100m (umoles of photons m-2 s-1)\nExt_Coeff (reciprocal meters (m-1))\nEZ_1pcnt (meters (m))\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_943861_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_943861_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_943861_v1/index.htmlTable https://www.bco-dmo.org/dataset/943861 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_943861_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_943861_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_943861_v1
log in [EXPORTS NA nuts and TM field data] - Dissolved trace metal and macronutrient concentrations rom field samples collected during the EXPORTS North Atlantic campaign at the Porcupine Abyssal Plain-Sustained Observatory (PAP-SO) site on board the RRS Discovery (DY131) in May 2021 (Collaborative Research: Diatoms, Food Webs and Carbon Export - Leveraging NASA EXPORTS to Test the Role of Diatom Physiology in the Biological Carbon Pump) This dataset includes dissolved trace metal (manganese, iron, cobalt, nickel, copper, cadmium, zinc, lead) and macronutrient (nitrate+nitrite, phosphate, silicic acid, nitrite) concentration data from field samples collected during the EXPORTS North Atlantic campaign at the Porcupine Abyssal Plain-Sustained Observatory (PAP-SO) site on board the RRS Discovery (DY131). These data were primarily collected opportunistically during the course of water collection for incubation experiments (see separate dataset for incubations), and provide field context for the shipboard incubation experiments as well as temporal characterization of a retentive anticyclonic eddy occupied over the course of the cruise.\n\nThis research focuses on the vertical export of the carbon associated with a major group of phytoplankton, the diatoms in the North Atlantic near the Porcupine Abyssal Plain. The major objective is to understand how diatom community composition and the prevailing nutrient conditions create taxonomic differences in metabolic state that combine to direct diatom taxa to different carbon export pathways. The focus is on diatoms, given their large contribution to global marine primary productivity and carbon export which translates into a significant contribution to the biogeochemical cycling of carbon (C), nitrogen (N), phosphorus (P), iron (Fe) and silicon (Si). It is hypothesized that the type and degree of diatom physiological stress are vital aspects of ecosystem state that drive export. To test this hypothesis, combined investigator expertise in phytoplankton physiology, genomics, and trace element chemistry is used to assess the rates of nutrient use and the genetic composition and response of diatom communities, with measurements of silicon and iron stress to evaluate stress as a predictor of the path of diatom carbon export. The EXPORTS field campaign in the North Atlantic sampled a retentive eddy over nearly a month in May 2021, which coincided with the decline of the North Atlantic Spring Bloom.\n\ncdm_data_type = Other\nVARIABLES:\nCRUISE_ID (unitless)\nEVTNBR (unitless)\nDATE_UTC (unitless)\nTIME_UTC (unitless)\ntime (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\n... (90 more variables)\n BCO-DMO bcodmo_dataset_954941_v1
log in [Friday Harbor Labs - Weather Station Data] - Weather Station data from University of Washington Friday Harbor Laboratories, Friday Harbor WA, Cantilever Point from 2006 to 2024 (The effects of temperature on ecological processes in a rocky intertidal community: a mechanistic approach ) This dataset includes parameters measured by a weather station at the University of Washington Friday Harbor Laboratories, Friday Harbor WA, Cantilever Point from 2006 to 2024.\n\ncdm_data_type = Other\nVARIABLES:\nPlatform_ID (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\nYear (unitless)\ntime (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\nISO_DateTime_PST (unitless)\nDate_PST (unitless)\nTime_PST (unitless)\nAir_Temp (degrees Celsius)\nRH (percent (%))\nRad_PAR (micromoles per square meter per second (?mol m-2 s-1))\nRad_Energy (watts per square meter (W m-2))\nRad_tot (watts per square meter (W m-2))\nRain (millimeters (mm))\nWind_speed (meters per second (m s-1))\nWind_direction (degrees (relative to true N))\nWind_Chill (degrees Celsius)\n BCO-DMO bcodmo_dataset_491262_v4
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_904895_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_904895_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_904895_v1/ public [GN01 Element quotas of individual phytoplankton cells] - Element quotas of individual phytoplankton cells from samples collected on the US GEOTRACES Arctic cruise GN01 (HLY1502) on USCGC Healy in August-October 2015 (U.S. Arctic GEOTRACES Study (GN01)) Individual phytoplankton cells were collected on the US GEOTRACES Arctic cruise GN01 (HLY1502) on USCGC Healy in August-October 2015. The elemental (Si, P, S, Mn, Fe, Co, Ni, Cu, Zn) content of each cell was measured with synchrotron x-ray fluorescence (SXRF). Carbon was calculated from biovolume. Data can be used to assess biogenic particulate metal fraction, as well as changes in the accumulation of these elements across environmental gradients. Data are part of the larger international GEOTRACES dataset.\n\ncdm_data_type = Other\nVARIABLES:\nRun (unitless)\nCruise (unitless)\nStation (unitless)\nlatitude (Lat_n, degrees_north)\nlongitude (Lon_e, degrees_east)\nDate (unitless)\nStart_time (unitless)\ntime (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\nDepth (meters (m))\nDepthDescr (unitless)\nParticleSampleID (unitless)\nCellType (unitless)\nMDA (unitless)\nUniqueCell (unitless)\nGridType (unitless)\nVolume (cubic microns)\ncellC (moles)\ncellSi (moles)\ncellP (moles)\ncellS (moles)\ncellMn (moles)\ncellFe (moles)\n... (7 more variables)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_904895_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_904895_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_904895_v1/index.htmlTable https://www.bco-dmo.org/dataset/904895 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_904895_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_904895_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_904895_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_942833_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_942833_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_942833_v1/ public [GO-SHIP A16N 2023 d13C DIC] - Stable carbon isotope of dissolved inorganic carbon (δ13C-DIC) collected during the Global Ocean Ship-based Hydrographic Investigations Program (GO-SHIP) A16N cruises on R/V Ronald Brown between March and May 2023 (Measurements of stable carbon isotopes on board GO-SHIP cruises in the South Atlantic Ocean to enhance our ability to quantify anthropogenic CO2 uptake rates by the ocean) These data include the stable carbon isotope of dissolved inorganic carbon (δ13C-DIC) collected during the Global Ocean Ship-based Hydrographic Investigations Program (GO-SHIP) A16N cruise in 2023. The cruise was divided into two legs and all aboard the R/V Ronald H. Brown between dates 2023-03-06 and 2023-05-09 in the North Atlantic Ocean. An automated, efficient, and high-precision method for ship-based δ13C-DIC analysis based on Cavity Ring-Down Spectroscopy (CRDS) was used. Stable isotopes of carbon can be used as a \"signature\" to identify fossil fuel-derived carbon dioxide in the atmosphere and ocean. These data were collected by Dr. Wei-Jun Cai's group of the University of Delaware.\n\ncdm_data_type = Other\nVARIABLES:\nEXPOCODE (unitless)\nSECT_ID (unitless)\ntime (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\nDATE (unitless)\nTIME_UTC (unitless)\nSTATION (unitless)\nNISKIN (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\ndepth (m)\nDELC13 (per mil (‰))\nDELC13_FLAG (unitless)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_942833_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_942833_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_942833_v1/index.htmlTable https://www.bco-dmo.org/dataset/942833 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_942833_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_942833_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_942833_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_929884_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_929884_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_929884_v1/ public [GP15 Iron Ligands in Particles] - Iron ligand concentration in particles (1-51 μm) analyzed by liquid chromatography-mass spectrometry from samples collected on the US GEOTRACES Pacific Meridional Transect (PMT) cruise RR1814 (GP15) on R/V Roger Revelle in October 2018 (Trace Element Organic Speciation along the US GEOTRACES Pacific Meridional Transect) This dataset includes iron ligand concentration in particles (1-51 μm) analyzed by liquid chromatography-mass spectrometry. Samples were collected on the US GEOTRACES Pacific Meridional Transect (PMT) cruises (GP15, RR1814 & RR1815) on R/V Roger Revelle from September to November 2018.\n\ncdm_data_type = Other\nVARIABLES:\nSample (unitless)\nStation (unitless)\nLat (degrees_north)\nlongitude (degrees_east)\ndepth (m)\nFerrioxamine_G (picomolar (pM))\ntime (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_929884_v1/index.htmlTable https://www.bco-dmo.org/dataset/929884 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_929884_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_929884_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_929884_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_941463_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_941463_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_941463_v1/ public [GP15 Particle birefringence photon yield and particle beam attenuation coefficient derived from McLane logging CTD] - Particle birefringence photon yield and particle beam attenuation coefficient derived from a logging CTD deployed during McLane Pump casts on the US GEOTRACES Pacific Meridional Transect (PMT) cruise (GP15) on R/V Roger Revelle from Sept-Nov 2018 (US GEOTRACES Pacific Meridional Transect (GP15)) This data set was derived from a logging CTD deployed during McLane Pump casts as part of the GEOTRACES Pacific Meridional Transect (GP15 expedition). There are several related data files provided. The primary data files include: (1) data for the 0-500 meters (m) depth interval, including measures of particle birefringence photon yield (units of parts per million per meter) and particle beam attenuation coefficient (units of per meter); and (2) 0-500 m McLane optics profiles data by broken down by specific cast number and deployment phase. Supplemental files include data for the full depth of the water column (6000 meters) and CTD data used in the reduction of optical birefringence yield and for the calculation of particle beam attenuation coefficient.\n\ncdm_data_type = Other\nVARIABLES:\nstation (unitless)\nlatitude (degrees_north)\nlongitude (Long, degrees_east)\njdays (unitless)\ntime (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\ntrack_km (kilometers (km))\nPPZ_depth (m)\ndepth (m)\ndepth_n (unitless)\npress (decibars (db))\ntemp (degrees Celsius)\ntemp_sd (degrees Celsius)\nsal (practical salinity units (PSU))\nsal_sd (practical salinity units (PSU))\npic011Biref_av (parts per million per meter (ppm m-1))\npic011Biref_av_sd (parts per million per meter (ppm m-1))\npic011Biref_av_n (unitless)\ncp1450_av (parts per million per meter (ppm m-1))\ncp1450_av_sd (parts per million per meter (ppm m-1))\n... (7 more variables)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_941463_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_941463_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_941463_v1/index.htmlTable https://www.bco-dmo.org/dataset/941463 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_941463_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_941463_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_941463_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_927550_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_927550_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_927550_v1/ public [GP17-OCE Event Log] - Scientific sampling event log from the US GEOTRACES GP17-OCE cruise on R/V Roger Revelle (RR2214) from December 2022 to January 2023 (US GEOTRACES GP17 Section: South Pacific and Southern Ocean (GP17-OCE)) This dataset is the scientific sampling event log from the US GEOTRACES GP17-OCE cruise on R/V Roger Revelle (RR2214). The expedition departed Papeete, Tahiti (French Polynesia) on December 1st, 2022 and arrived in Punta Arenas, Chile on January 25th, 2023. The cruise took place in the South Pacific and Southern Oceans aboard the R/V Roger Revelle with a team of 34 scientists led by Ben Twining (Chief Scientist), Jessica Fitzsimmons, and Greg Cutter (Co-Chief Scientists). GP17 was planned as a two-leg expedition, with its first leg (GP17-OCE) as a southward extension of the 2018 GP15 Alaska-Tahiti expedition and a second leg (GP17-ANT; December 2023-January 2024) into coastal and shelf waters of Antarctica's Amundsen Sea.\n\ncdm_data_type = Other\nVARIABLES:\nCruise (unitless)\nEvent (unitless)\nInstrument (unitless)\nAction (unitless)\nTransect (unitless)\nStation (unitless)\nCast (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\nsample_depth_min (m)\nsample_depth_max (m)\nGEOTRACES_ID_Num_Range (unitless)\nSeafloor (meters (m))\nAuthor (unitless)\nComment (unitless)\nDateTimeUTC (unitless)\nISO_DateTime_UTC (seconds since 1970-01-01T00:00:00Z)\nGPS_Time (seconds since 1970-01-01T00:00:00Z)\nRevisions (unitless)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_927550_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_927550_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_927550_v1/index.htmlTable https://www.bco-dmo.org/dataset/927550 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_927550_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_927550_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_927550_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_933861_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_933861_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_933861_v1/ public [GP17-OCE ODF nutrients] - Nutrients and bottle oxygen measured by the Scripps ODF group on the US GEOTRACES GP17-OCE cruise on R/V Roger Revelle (RR2214) from December 2022 to January 2023 in the South Pacific and Southern Oceans (US GEOTRACES GP17 Section: South Pacific and Southern Ocean (GP17-OCE)) This dataset includes the nutrients and bottle oxygen measurements made by the Ocean Data Facility (ODF) group of  Scripps Institution of Oceanography during the US GEOTRACES GP17-OCE cruise. The cruise took place on R/V Roger Revelle (cruise ID RR2214) from December 2022 to January 2023 in the South Pacific and Southern Oceans.\n\ncdm_data_type = Other\nVARIABLES:\nEXPOCODE (unitless)\nSECT_ID (unitless)\nSTNNBR (unitless)\nCASTNO (unitless)\nSAMPNO (unitless)\nBTLNBR (unitless)\nBTLNBR_FLAG_W (unitless)\nEVENT_NUMBER (unitless)\nGEOTRC_SAMPNO (unitless)\ntime (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\nDATE (unitless)\nTIME (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\ndepth (m)\nREFTMP (degrees Celsius)\nREFTMP_FLAG_W (unitless)\nBTL_ISO_DateTime_UTC (seconds since 1970-01-01T00:00:00Z)\nBTL_DATE (unitless)\nBTL_TIME (unitless)\nBTL_LAT (degrees_north)\nBTL_LON (degrees_east)\nCTDPRS (decibars (dbar))\nCTDPRS_FLAG_W (unitless)\n... (46 more variables)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_933861_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_933861_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_933861_v1/index.htmlTable https://www.bco-dmo.org/dataset/933861 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_933861_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_933861_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_933861_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_891941_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_891941_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_891941_v1/ public [Gulf of Alaska Al and Mn - Surface Samples] - Dissolved aluminum (Al) and manganese (Mn) and total dissolvable Al and Mn from surface water samples collected during three cruises in 2010 in the northern Gulf of Alaska (US GEOTRACES Pacific Section-Shipboard Al, Mn and Fe) Water samples were collected along a transect during three cruises in 2010 (7-9 April, 5-7 May, and 27-29 July) in the northern Gulf of Alaska, from the mouth of the Copper River to about 50 km past the shelf break. Surface samples were collected by underway pumping using Teflon-lined tubing, using a method modified from Vink et al. (2000). Filtered dissolved metal surface samples were collected using a 0.45 µm in-line Acropore filter under N₂ pressure. Water samples were processed in the shipboard clean lab within three hours of collection. Dissolved samples were filtered using acid-washed 0.45 µm Pall-Supor filters. All samples were acidified to pH 1.8 using Seastar grade HCl within 3 days and stored for 5 years before analysis.\n\nFiltered samples were analyzed for dissolved Al and unfiltered samples were analyzed for total dissolvable Al using Flow Injection Analysis (Resing and Measures 1994) using fluorescent detection of lumogallion. Filtered samples were analyzed for dissolved Mn and unfiltered samples were analyzed for total dissolvable Mn according to the method of Resing and Mottl (1992), which uses spectroscopic detection of leuchomalachite green.\n\ncdm_data_type = Other\nVARIABLES:\nLatitude_degN (degrees_north)\nlongitude (Longitude_dege, degrees_east)\ntime (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\ndepth (Ysi_depth, m)\nSurface_Salinity (PSU)\nDistance_from_Shore (kilometers (km))\nDAl (nanomolar concentration (nM))\nTDAl (nanomolar concentration (nM))\nDMn (nanomolar concentration (nM))\nTDMn (nanomolar concentration (nM))\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_891941_v1/index.htmlTable https://www.bco-dmo.org/dataset/891941 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_891941_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_891941_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_891941_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_891918_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_891918_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_891918_v1/ public [Gulf of Alaska Al and Mn - Vertical Profiles] - Dissolved aluminum (Al) and manganese (Mn) and total dissolvable Al and Mn from subsurface water samples collected during three cruises in 2010 in the northern Gulf of Alaska (US GEOTRACES Pacific Section-Shipboard Al, Mn and Fe) Water samples were collected along a transect during three cruises in 2010 (7-9 April, 5-7 May, and 27-29 July) in the northern Gulf of Alaska, from the mouth of the Copper River to about 50 kilometers past the shelf break. Vertical profiles were collected using Teflon-lined Niskin bottles attached to a Spectra™ (Dyneema) line and triggered using Teflon-lined messengers. Additionally, profiles of salinity, temperature, fluorescence, and turbidity were measured with a Seabird SBE16 CTD, deployed at the same time as the collection of the subsurface water samples. Water samples were processed in the shipboard clean lab within three hours of collection. Dissolved samples were filtered using acid-washed 0.45-micrometer Pall-Supor filters. All samples were acidified to pH 1.8 using Seastar grade HCl within 3 days and stored for 5 years before analysis.\n\nFiltered samples were analyzed for dissolved aluminum (Al) and unfiltered samples were analyzed for total dissolvable Al using Flow Injection Analysis (Resing and Measures 1994) using fluorescent detection of lumogallion. Filtered samples were analyzed for dissolved manganese (Mn) and unfiltered samples were analyzed for total dissolvable Mn according to the method of Resing and Mottl (1992), which uses spectroscopic detection of leuchomalachite green.\n\ncdm_data_type = Other\nVARIABLES:\nCruise (unitless)\nStation (unitless)\ndepth (m)\ntime (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\nLatitude_degN (degrees_north)\nlongitude (Longitude_dege, degrees_east)\nDAl (nanomolar concentration (nM))\nTDAl (nanomolar concentration (nM))\nDMn (nanomolar concentration (nM))\nTDMn (nanomolar concentration (nM))\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_891918_v1/index.htmlTable https://www.bco-dmo.org/dataset/891918 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_891918_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_891918_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_891918_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_4053_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_4053_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_4053_v1/ public [HOE-DYLAN cruises - NH4] - Ammonium (NH4) concentrations from multiple HOE-DYLAN cruises from July to September 2012 (C-MORE project) (Center for Microbial Oceanography: Research and Education) Ammonium (NH4) concentrations from multiple HOE-DYLAN cruises from July to September 2012 (C-MORE project)\n\ncdm_data_type = Other\nVARIABLES:\ncruise_id (unitless)\ntime (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\nsta (unitless)\ncast (unitless)\nbot (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\npress (dbar)\ntemp (degrees Celsius)\nsal (PSS-78)\nO2 (micromoles/kilogram)\nfluor_re (micrograms/liter)\nNH4 (nanomoles/liter)\nNH4_sd (unitless)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_4053_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_4053_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_4053_v1/index.htmlTable https://www.bco-dmo.org/dataset/4053 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_4053_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_4053_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_4053_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_4054_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_4054_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_4054_v1/ public [HOE-DYLAN cruises - NO2] - Nitrite (NO2) concentrations from multiple HOE-DYLAN cruises from July to September 2012 (C-MORE project) (Center for Microbial Oceanography: Research and Education) Nitrite (NO2) concentrations from multiple HOE-DYLAN cruises from July to September 2012 (C-MORE project)\n\ncdm_data_type = Other\nVARIABLES:\ncruise_id (text)\ntime (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\nsta (unitless)\ncast (unitless)\nbot (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\npress (dbar)\ntemp (degrees Celsius)\nsal (PSS-78)\nO2 (micromoles/kilogram)\nfluor_re (micrograms/liter)\nNO2 (nanomoles/liter)\nNO2_sd (unitless)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_4054_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_4054_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_4054_v1/index.htmlTable https://www.bco-dmo.org/dataset/4054 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_4054_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_4054_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_4054_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_4055_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_4055_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_4055_v1/ public [HOE-DYLAN cruises - Urea] - Urea concentrations from multiple HOE-DYLAN cruises from July to September 2012 (C-MORE project) (Center for Microbial Oceanography: Research and Education) Urea concentrations from multiple HOE-DYLAN cruises from July to September 2012 (C-MORE project)\n\ncdm_data_type = Other\nVARIABLES:\ncruise_id (unitless)\ntime (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\nsta (unitless)\ncast (unitless)\nbot (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\npress (dbar)\ntemp (degrees Celcius)\nsal (PSS-78)\nO2 (micromoles/kilogram)\nfluor_re (mircorgrams/liter)\nUrea (nanomoles/liter)\nUrea_sd (unitless)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_4055_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_4055_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_4055_v1/index.htmlTable https://www.bco-dmo.org/dataset/4055 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_4055_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_4055_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_4055_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_918182_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_918182_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_918182_v1/ public [In situ seawater temperature at Heron Island (2015-2020)] - Measurements of seawater temperature, depth, and photosynthetically active radiation (PAR) across seven sites at Heron Island, southern Great Barrier Reef from 2015 to 2020 (Influence of environmental pH variability and thermal sensitivity on the resilience of reef-building corals to acidification stress) Increasing ocean temperatures threaten coral reefs globally, but corals residing in habitats that experience high thermal variability are thought to be better adapted to survive climate-induced heat stress. Here, we used long-term ecological observations and in situ temperature data from Heron Island, southern Great Barrier Reef to investigate how temperature dynamics within various thermally variable vs. thermally stable reef habitats change during a marine heatwave and the resulting consequences for coral community survival. This data set includes the in-field measurements of seawater temperature, depth, and photosynthetically active radiation (PAR) across seven sites at Heron Island, southern Great Barrier Reef.\n\ncdm_data_type = Other\nVARIABLES:\nISO_DateTime_AEST (unitless)\ntime (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\nSite (unitless)\nLatitude (degrees_north)\nlongitude (degrees_east)\nDate_AEST (unitless)\ndepth (m)\nPAR (micromoles quanta per square meter per second (umol quanta m-2 s-1))\nTemperature (degrees Celsius)\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_918182_v1/index.htmlTable https://www.bco-dmo.org/dataset/918182 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_918182_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_918182_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_918182_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_905047_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_905047_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_905047_v1/ public [In-field temperature data Kane'ohe Bay] - In-field temperature data Kane'ohe Bay, O'ahu, Hawai'i from 2013 to 2023 (RAPID: Collaborative Research: Disentangling the effects of heat stress versus bleaching phenotype on coral performance) Increasingly frequent marine heatwaves are devastating coral reefs. Corals that survive these extreme events must rapidly recover if they are to withstand subsequent events, and long-term survival in the face of rising ocean temperatures may hinge on recovery capacity and acclimatory gains in heat tolerance over an individual's lifespan. To better understand coral recovery trajectories in the face of successive marine heatwaves, we monitored the responses of bleaching-susceptible and bleaching-resistant individuals of two dominant coral species in Hawaiʻi, Montipora capitata and Porites compressa, over a decade that included three marine heatwaves. This dataset includes the in situ temperature data from Kāne'ohe Bay, O'ahu, Hawai'i from 2013-2023.\n\ncdm_data_type = Other\nVARIABLES:\ntime (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\nTemperature (degrees C)\nDate (unitless)\ntime_local (Time, unitless)\nSite (unitless)\nhour (unitless)\nyear (unitless)\nday (unitless)\nmonth (unitless)\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_905047_v1/index.htmlTable https://www.bco-dmo.org/dataset/905047 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_905047_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_905047_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_905047_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_922236_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_922236_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_922236_v1/ public [Invertebrate Data] - Invertebrate data from fish and seagrass surveys on clusters of artificial reefs at the Abaco Islands, Bahamas in 2021 and 2022 (Using novel ecosystem-scale experiments to quantify drivers of reef productivity in a heavily impacted coastal ecosystem) Invertebrate data from fish and seagrass surveys on clusters of artificial reefs at the Abaco Islands, Bahamas in May of 2022. Data are presented for site PN, which was constructed in May 2021 at the Bight of Old Robinson, Great Abaco. At the site three clusters of nine reefs were constructed. Each cluster was separated by at least 150 m and were constructed at ~3 m depth.\n\ncdm_data_type = Other\nVARIABLES:\nObserver (unitless)\nDate (unitless)\ntime_local (Time, unitless)\nAssembly_day (unitless)\nCluster (unitless)\ncluster_lat (degrees_north)\nlongitude (Cluster_lon, degrees_east)\nReef (unitless)\nSpecies (unitless)\nCount (unitless)\nLegal (unitless)\nNot_legal (unitless)\nNotes (unitless)\ntime (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_922236_v1/index.htmlTable https://www.bco-dmo.org/dataset/922236 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_922236_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_922236_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_922236_v1
log in [ISIIS Environmental Data] - Environmental sensor data from an underwater imaging system (ISIIS-3) collected during R/V Langseth cruise MGL2207 July 20-28 2022 and R/V Sally Ride cruise SR2317 August 10-20 2023 in the Northern California Current (Collaborative Research: Plankton size spectra and trophic links in a dynamic ocean) During July 20-28 2022 and August 10-20 2023 an underwater imager (In Situ Ichthyoplankton Imaging System 3, ISIIS-3) was deployed from the R/V Langseth and R/V Sally Ride, respectively. The ISIIS-3 deployments were carried out from these R/Vs in the northern California Current by a team affiliated with Oregon State University, the University of Oregon, and Portland State University.\n\nThe ISIIS-3 was equipped with two line scan cameras for collecting plankton imagery in addition to six  environmental sensors.\n\nThis dataset contains the processed and quality controlled merged environmental data from the ISIIS imager on this cruise, consisting of temperature, conductivity, pressure, depth, salinity, fluorescence, oxygen, pH, photosynthetically active radiation, and chlorophyll a. Latitude, longitude, date, time, imager horizontal/vertical speeds, and altitude are also included in the dataset. Data were collected on six cross-shelf transects ranging geographically from the border of California and Oregon to  southern Washington. Two transects, one following the Newport Hydrographic Line and the other near Gray's Harbor, Washington, were 70 nautical miles (~135 km) in length. The four others (near the Columbia River, Cape Meares, Heceta Bank, and the Rogue River) were 40 nautical miles (~73 km). ISIIS was towed continuously in an undulating motion (“tow-yos”) between 0-100m depth, or within 2-5m of the seafloor where the bottom depth was less than 100m. Data were streamed on to the ship in real time using a fiber optic oceanographic cable and written into millisecond time-stamped data files for each sensor. Sensor data files from ISIIS-3, along with latitude and longitude data from ship data streams, were merged using Python scripts into a final dataset based on the millisecond time stamps of the sensors and GPS streams.\n\ncdm_data_type = Other\nVARIABLES:\nDateTime (Time, unitless)\nCruise_ID (unitless)\ntime (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\nTemperature (degrees Celsius)\nConductivity (Siemens per meter (Siemens/m))\nPressure (decibars (dBar))\n... (25 more variables)\n BCO-DMO bcodmo_dataset_942686_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_930163_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_930163_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_930163_v1/ public [Kāneʻohe Bay Time-series - phytoplankton and biogeochemistry] - Biological oceanographic measurements, 16S rRNA gene amplicons and metagenomes from surface seawater taken from August 2017 to June 2021 at sites within and adjacent to Kāneʻohe Bay, Oʻahu, Hawaiʻi (Population genomics and ecotypic divergence in the most dominant lineage of marine bacteria) These data include temperature, pH, salinity, chlorophyll a concentrations, cellular abundances of Prochlorococcus, Synechococcus, photosynthetic picoeukaryotes, and heterotrophic bacteria,16S ribosomal RNA gene amplicon libraries, metagenomes, inorganic nutrient concentrations, and photosynthetic pigment measurements via high performance liquid chromatography from surface seawater samples collected as part of the Kāneʻohe Bay Time-series (KByT). This dataset reflects near-monthly sampling of surface seawater that was conducted between between August 2017 and June 2021 at 10-12 sites within and adjacent to Kāneʻohe Bay, Oʻahu, Hawaiʻi. Instruments used were a YSI 6,600 sonde, a ProDSS multi-parameter sonde, a Turner 10AU fluorometer, a Beckman Coulter CytoFLEX S flow cytometer, a Seal Analytical AA3 HR Nutrient Autoanalyzer, an Illumina MiSeq v2 platform, and the Illumina NovaSeq 6000.\n\nThese data reveal a remarkably persistent transition in surface ocean biogeochemistry, phytoplankton biomass, and phytoplankton community structure, despite high water exchange and define surface ocean biogeochemical and phytoplankton regimes over space and time across nearshore to offshore waters in the tropical Pacific. These results provide insight into drivers of seasonal and spatial variability of phytoplankton communities. Data were collected and analyzed by Sarah J. Tucker, Yoshimi M. Rii, Kelle C. Freel, Keliʻiahonui Kotubetey, A. Hiʻilei Kawelo, and Kawika B. Winter, Michael S. Rappé.\n\ncdm_data_type = Other\nVARIABLES:\nSampleID (unitless)\nUniversal_Sample_ID (unitless)\nMetagenome (unitless)\nMetagenome_ID (unitless)\nYear (unitless)\nSampling_Order (unitless)\nSeason (unitless)\nMonth (unitless)\nMonth_abb (unitless)\nTime (hh:mm)\n... (68 more variables)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_930163_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_930163_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_930163_v1/index.htmlTable https://www.bco-dmo.org/dataset/930163 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_930163_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_930163_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_930163_v1
log in [Lake Erie Winter Surveys 2022] - Winter survey data from Lake Erie from Feb 2022 to Mar 2022 (Lake Erie Center for Fresh Waters and Human Health) This dataset includes winter survey data from Lake Erie collected from February 2022 to March 2022. The survey includes environmental observations, physico-chemical data, chlorophyll, total and dissolved nutrients, plankton taxonomic classification, and cell abundance. 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.\n\ncdm_data_type = Other\nVARIABLES:\nStation (unitless)\nDate (unitless)\ntime_unitless (Time, unitless)\ntime (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\nLake (unitless)\nlatitude (degrees_north)\nlongitude (Long, degrees_east)\ndepth (Sample_depth, m)\nSample_ice_flag (unitless)\nDepth (meters (m))\nAir_temp (Degrees Celsius)\nWater_temp (Degrees Celsius)\nSnow_thickness_profile (meters (m))\nIce_thickness_in (inches (in))\nPercent_trans_ice_snow (percent (%))\nPercent_trans_ice (percent (%))\nIce_Narrative (unitless)\nSnow_Narrative (unitless)\nWind_speed (Knots (Kt))\nWind_direction (unitless)\nBarometer (Hg)\nChl_A (ug/L)\n... (55 more variables)\n BCO-DMO bcodmo_dataset_949323_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_949323_v2 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_949323_v2.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_949323_v2/ public [Lake Erie Winter Surveys 2022] - Winter survey data from Lake Erie from Feb 2022 to Mar 2022 (Lake Erie Center for Fresh Waters and Human Health) This dataset includes winter survey data from Lake Erie collected from February 2022 to March 2022. The survey includes environmental observations, physico-chemical data, chlorophyll, total and dissolved nutrients, plankton taxonomic classification, and cell abundance. 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.\n\ncdm_data_type = Other\nVARIABLES:\nStation (unitless)\nDate (unitless)\ntime_unitless (Time, unitless)\ntime (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\nLake (unitless)\nlatitude (degrees_north)\nlongitude (Long, degrees_east)\ndepth (Sample_depth, m)\nSample_ice_flag (unitless)\nDepth (meters (m))\nAir_temp (Degrees Celsius)\nWater_temp (Degrees Celsius)\nSnow_thickness_profile (meters (m))\nIce_thickness_in (inches (in))\nPercent_trans_ice_snow (percent (%))\nPercent_trans_ice (percent (%))\nIce_Narrative (unitless)\nSnow_Narrative (unitless)\nWind_speed (Knots (Kt))\nWind_direction (unitless)\nBarometer (Hg)\nChl_A (ug/L)\n... (55 more variables)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_949323_v2_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_949323_v2_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_949323_v2/index.htmlTable https://www.bco-dmo.org/dataset/949323 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_949323_v2.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_949323_v2&showErrors=false&email= BCO-DMO bcodmo_dataset_949323_v2
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_940112_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_940112_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_940112_v1/ public [Lake Erie Winter Surveys 2023-2024] - Winter survey data from Lake Erie from Mar 2023 to May 2024 (Lake Erie Center for Fresh Waters and Human Health) This dataset includes winter survey data from Lake Erie collected on SAR Erie Guardian, USCGC Morro Bay, USCGC Neah Bay, CCGS Griffon, CCGS Samuel Risley, MV Vigilant from March 2023 to May 2024. The survey includes environmental observations, physico-chemical data, chlorophyll, total and dissolved nutrients, plankton taxonomic classification, and cell abundance. 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.\n\ncdm_data_type = Other\nVARIABLES:\nStation (unitless)\nDeployment (unitless)\nAlternate_Deployment (unitless)\nDate (unitless)\ntime_unitless (Time, unitless)\ntime (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\nLake (unitless)\nlatitude (degrees_north)\nlongitude (Long, degrees_east)\nMax_Depth (meters (m))\ndepth (Sample_depth, m)\nAir_Temp (degrees C)\nWater_Temp (degrees C)\nIce_cover (percent (%))\nSnow_cover (percent (%))\nIce_type (unitless)\nIce_thickness (centimeter (cm))\nDO (percent (%))\nDO2 (mg/L)\npH (unitless (pH scale))\nSp_Cond (microSiemen per cm (µS cm-1))\n... (37 more variables)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_940112_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_940112_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_940112_v1/index.htmlTable https://www.bco-dmo.org/dataset/940112 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_940112_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_940112_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_940112_v1
log in [Larval Sebastes Diet and Morphometric Data] - Larval Sebastes Diet and Morphometric Data from R/V Bob and Betty Beyster, R/V Shearwater BBB2102, BBB2104, SW2104, BBB2101 from January to April 2021 (RAPID Anchovy Response project) (RAPID: Understanding the unprecedented anchovy response to warm-water conditions in the California Current) This dataset includes body morphometrics of analyzed species of larval Rockfish (Sebastes spp.) from Bongo plankton net tows conducted in the subtropical Southern California Bight from January to April 2021. The larvae were dissected and the gut content analyzed. Prey taxa, development stage, length and width are also included in the data. Net tows were carried out on several cruises aboard R/V Bob and Betty Beyster and R/V Shearwater.\n\ncdm_data_type = Other\nVARIABLES:\nCruise (unitless)\ntime (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\nISO_DateTime_PDT (unitless)\nLine (unitless)\nSt (unitless)\nlatitude (degrees_north)\nlongitude (Long, degrees_east)\nTow_Depth (meters (m))\nMesh_Size (micrometers (um))\nLarva_ID (unitless)\nGrowth_Stage (unitless)\nSpecies (unitless)\nSpecies_AphiaID (unitless)\nSpecies_lsid (unitless)\nSL (millimeters (mm))\nBD (millimeters (mm))\nHL (millimeters (mm))\nPrey_Taxa (unitless)\nPrey_Taxa_AphiaID (unitless)\nPrey_Taxa_lsid (unitless)\nPrey_Stage (unitless)\nLength (millimeters (mm))\nWidth (millimeters (mm))\n BCO-DMO bcodmo_dataset_940302_v1
log in [Larval Sebastes Otolith and Morphometric Data] - Collected Larval Sebastes spp. Otolith and Morphometric Data from R/V Bob and Betty Beyster, R/V Shearwater BBB2102, BBB2104, SW2104, BBB2101 from January to April 2021 (RAPID Anchovy Response project) (RAPID: Understanding the unprecedented anchovy response to warm-water conditions in the California Current) This dataset includes the morphometrics of Rockfish (Sebastes spp.) larvae from Bongo plankton net tows conducted in the subtropical Southern California Bight from January to April 2021. Net tows were carried out on several cruises aboard R/V Bob and Betty Beyster and R/V Shearwater. The dataset include species names, morphometrics and larval development stage, age, otolith cores size and width or each growth increment.\n\ncdm_data_type = Other\nVARIABLES:\nCruise (unitless)\ntime (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\nISO_DateTime_PDT (unitless)\nLine (unitless)\nSt (unitless)\nlatitude (degrees_north)\nlongitude (Long, degrees_east)\nTow_Depth (meters (m))\nMesh_Size (micrometers (um))\nLarva_ID (unitless)\nGrowth_Stage (unitless)\nSpecies (unitless)\nSpecies_AphiaID (unitless)\nSpecies_lsid (unitless)\nSL (millimeters (mm))\nBD (millimeters (mm))\nHL (millimeters (mm))\nagecap (days)\nradcap (micrometers (um))\nrad1 (micrometers (um))\nrad2 (micrometers (um))\nrad3 (micrometers (um))\nrad4 (micrometers (um))\n... (45 more variables)\n BCO-DMO bcodmo_dataset_940324_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_926465_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_926465_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_926465_v1/ public [Light level (lux) at coral reefs in Palau] - Light level (lux) 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?) Light levels (lux) were measured at six coral reef sites in Palau during field seasons from 2021 to 2023. Loggers (Hobo Pendant,  UA-002-64) were attached to threaded rods embedded in the reef using zip ties.\n\ncdm_data_type = Other\nVARIABLES:\nISO_DateTime_Local (unitless)\ntime (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\nSite (unitless)\nLatitude (degrees_north)\nlongitude (degrees_east)\nIrradiance (lux)\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_926465_v1/index.htmlTable https://www.bco-dmo.org/dataset/926465 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_926465_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_926465_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_926465_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_941377_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_941377_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_941377_v1/ public [Low-pH springs: water samples] - Measured and calculated geochemistry values and uncertainty for water samples taken from the water column of Celestun Lagoon, Yucatan, Mexico in May of 2015 (Calcification in low saturation seawater: What can we learn from organisms in the proximity of low pH; undersaturated submarine springs) Measured and calculated geochemistry values and uncertainty for water samples taken from the water column of Celestun Lagoon, Yucatan, Mexico in May of 2015.\n\nThis dataset was collected in coordination with the following study (See \"Related Datasets\" section):\n\nIsotopes (δ11B, 87Sr/86Sr, δ18O, δ13C), elemental concentrations (B, Mg, Ca), and carbon content were collected from the foraminifera Ammonia parkinsoniana and sediments in Celestun Lagoon, Yucatan, Mexico in June 2009 and May 2015. Sediment cores were taken with push corers and piston corers. Sampling site were distributed unevenly along a transect along the lagoon. These data were collected to investigate the influence of low-pH groundwater-seawater mixing on the boron isotope pH proxy.\n\ncdm_data_type = Other\nVARIABLES:\nsite (unitless)\nlatitude (degrees_north)\nlongitude (Long, degrees_east)\ndistance (kilometers (km))\nregion (unitless)\ndate (unitless)\ntime_local (Time, unitless)\nISO_DateTime_UTC (unitless)\ntide (unitless)\nsample (unitless)\ntemperature (degrees Celsius)\nsalinity (practical salinity units (PSU))\npH (total scale)\nDIC (micromoles per kilogram (umol/kg))\nDIC_2sd (micromoles per kilogram (umol/kg))\nTA (micromoles per kilogram (umol/kg))\n... (40 more variables)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_941377_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_941377_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_941377_v1/index.htmlTable https://www.bco-dmo.org/dataset/941377 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_941377_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_941377_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_941377_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_930111_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_930111_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_930111_v1/ public [Major inorganic ions in seawater near the BATS station, cruises AE2113 and AE2303] - Major inorganic ions from seawater collected near the BATS station during R/V Atlantic Explorer cruises AE2113 (July 2021) and AE2303 (January 2023) (Collaborative Research: Seasonal Variability in refractory dissolved organic carbon fluxes associated with primary marine aerosol emitted from the oceans) This dataset includes the concentrations of seven major inorganic ions determined in near surface (approximately 5 m) seawater samples collected from the Bermuda Atlantic Time-series Study (BATS) station during a summer cruise in 2021 (AE2113) and a winter cruise in 2023 (AE2303) aboard the R/V Atlantic Explorer. The major ions in each sample were quantified using a Dionex dual channel model ICS 6000 high-performance ion chromatograph (ICS-6000 DP). This dataset was generated and prepared by Dr. Lei Xue under the supervision of Dr. David Kieber at the State University of New York, College of Environmental Science and Forestry. These data were used to determine the enrichment factor of major ions in primary marine aerosol (PMA) samples and to calculate the enrichment factors of protein/peptides and carbohydrates in PMA samples relative to seawater and the associated seasonal variability. This work is part of a larger study to understand the seasonal variability in the fraction of refractory organic carbon in primary marine aerosol at the BATS station.\n\ncdm_data_type = Other\nVARIABLES:\nCruise_ID (unitless)\ntime (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\nCTD_filename (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\nStation (unitless)\nCast (unitless)\nCTD_Bottle (unitless)\nTemperature (degree Celsius)\ndepth (Sampling_depth, m)\nChloride_Ion (Part per thousand (ppt))\nBromide_Ion (Part per thousand (ppt))\nSulfate_Ion (Part per thousand (ppt))\nSodium_Ion (Part per thousand (ppt))\nPotassium_Ion (Part per thousand (ppt))\nMagnesium_Ion (Part per thousand (ppt))\nCalcium_Ion (Part per thousand (ppt))\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_930111_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_930111_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_930111_v1/index.htmlTable https://www.bco-dmo.org/dataset/930111 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_930111_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_930111_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_930111_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_948590_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_948590_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_948590_v1/ public [Metatranscriptomic nutrient response experiments - 2021 DY131] - Data from nutrient manipulation experiments (conducted on EXPORTS cruise DY131) aimed at relieving or inducing nutrient stress in phytoplankton and quantifying these responses using metatranscriptomic sequencing (Collaborative Research: Diatoms, Food Webs and Carbon Export - Leveraging NASA EXPORTS to Test the Role of Diatom Physiology in the Biological Carbon Pump) This dataset includes data from nutrient manipulation experiments aimed at relieving or inducing nutrient stress in phytoplankton and quantifying these responses using metatranscriptomic sequencing. Experiments were conducted by adding key macronutrients (N, P, Si) and Fe in different combinations over different growth periods, simulating potential alleviation of in situ nutrient stress or the induction of nutrient stress. Experiments were conducted on the EXports Processes in the Oceans from RemoTe Sensing (EXPORTS) cruise DY131 in the North Atlantic during May of 2021.\n\ncdm_data_type = Other\nVARIABLES:\nCruise (unitless)\ntime (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\nDate_UTC (unitless)\nTime_UTC (unitless)\nEvent (unitless)\nActivity (unitless)\nStation (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\nexp_id (unitless)\nIncubation (unitless)\nTreatment (unitless)\nreplicate (unitless)\nBioProject (unitless)\nBioSample (unitless)\nSRA_sample (unitless)\nPhosphate (millimoles per cubic meter (mmol m^3))\nPhosphate_flag (unitless)\nSilicate (millimoles per cubic meter (mmol m^3))\nSilicate_flag (unitless)\nNitrite (millimoles per cubic meter (mmol m^3))\nNitrite_flag (unitless)\n... (8 more variables)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_948590_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_948590_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_948590_v1/index.htmlTable https://www.bco-dmo.org/dataset/948590 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_948590_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_948590_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_948590_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_953856_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_953856_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_953856_v1/ public [Meteorological observations from NOAA station 8761724] - Meteorological observations from NOAA station 8761724, Grande Isle, LA from September 20, 2022, to September 29, 2024. (CAREER: Integrating Seascapes and Energy Flow: learning and teaching about energy, biodiversity, and ecosystem function on the frontlines of climate change) Subset of the NOAA Tides and Currents NOAA webpage. It includes meteorological observations of wind speed and direction which, in conjunction with landscape data, are used as a rough calculation of fetch distance in this study. Ultimately, the fetch distance variable was not included in the final analysis.\n\ncdm_data_type = Other\nVARIABLES:\nlatitude (degrees_north)\nlongitude (degrees_east)\nDate (unitless)\nTime_GMT (unitless)\ntime (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\nWind_Speed_kn (knots)\nWind_Dir_deg (degrees)\nWind_Gust_kn (knots)\nAir_Temp_F (Degrees Fahrenheit)\nBaro_mb (millibar)\nHumidity_perc (percentage (%))\nVisibility_nm (nanometers)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_953856_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_953856_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_953856_v1/index.htmlTable https://www.bco-dmo.org/dataset/953856 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_953856_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_953856_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_953856_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_943707_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_943707_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_943707_v1/ public [Mixed Layer] - Estimates of mixed layer depths (MLD) mean mixed-layer values of temperature, salinity, and other measurements from R/V Roger Revelle cruise RR2201 in the Eastern Indian Ocean (Argo Basin) from January to March 2022 (Collaborative Research: Mesoscale variability in nitrogen sources and food-web dynamics supporting larval southern bluefin tuna in the eastern Indian Ocean) This dataset contains estimates of mixed layer depths (MLD) and mean mixed-layer values of temperature, salinity, sigma-t density, % transmission, oxygen concentration, % oxygen saturation, and fluorometric chlorophyll a from CTD downcast profiles for cruise RR2201 on R/V Roger Revelle (BLOOFINZ-IO, January-March 2022) in the Argo Basin region off NW Australia.\n\ncdm_data_type = Other\nVARIABLES:\nCruise (unitless)\nEvent (unitless)\ntime (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\nlatitude (degrees_north)\nlongitude (degrees_east)\nCycle_Day (unitless)\nCTD_Cast (unitless)\nMLD (meters (m))\nTemp (degrees Celsius)\nSaliniity (PSU)\nSigma_t (kg/m3 - 1000)\nXmissn (percent per meter (% m-1))\nO2 (micromoles per kilogram (umol kg-1))\nO2_pcnt_sat (percent (%))\nFluoro (milligrams per cubic meter (mg m-3))\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_943707_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_943707_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_943707_v1/index.htmlTable https://www.bco-dmo.org/dataset/943707 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_943707_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_943707_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_943707_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_659874_v3 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_659874_v3.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_659874_v3/ public [Mumford Cove Monitoring Data] - Temperature, pH, DO, and salinity data from Mumford Cove, Connecticut, USA from 2015-2022 (Collaborative research: Understanding the effects of acidification and hypoxia within and across generations in a coastal marine fish) Despite their importance for research and environmental protection, there's still a shortage of high quality and high-resolution temperature, pH, and oxygen data particularly in shallow coastal habitats. We monitor five important environmental parameters (i.e., depth, temperature, salinity, pH, and dissolved oxygen) at 30 minute intervals in Mumford Cove, CT (41 degrees 19'25\"N, 72 degrees 01'07\"W), a small (2 km N-S × 0.5 km E-W), shallow (1-5 meters), cone-shaped embayment opening to northeastern Long Island Sound, with protected marsh habitat along its western side, marsh and beach habitat along its eastern side, and an extensive seagrass (Zostera marina) cover. Continuous monitoring is achieved by swapping identical and recalibrated probes (Eureka Manta Sub2) every 3-5 weeks.\n\ncdm_data_type = Other\nVARIABLES:\nlocation (unitless)\nlat (degrees_north)\nlon (degrees_east)\nserial_number (unitless)\nISO_DateTime_EST (unitless)\ntemp (degrees Celsius)\npH (pH units)\ncond (microsiemens per centimeter (µS/cm))\nHDO_mgl (milligrams per liter (mg/L))\nHDO_percentSat (percent)\nsalinity (PSS)\ndepth (m)\nISO_DateTime_UTC (unitless)\ncomments (unitless)\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_659874_v3/index.htmlTable https://www.bco-dmo.org/dataset/659874 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_659874_v3.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_659874_v3&showErrors=false&email= BCO-DMO bcodmo_dataset_659874_v3
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_919848_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_919848_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_919848_v1/ public [MV1110 CTD Nutrient and Particle Data] - CTD bottle data matched to dissolved, inorganic nutrient concentrations and to stable isotope measurements of particulate nitrogen and carbon rom R/V Melville cruise MV1110 in the Western Tropical North Atlantic in 2011 (Amazon iNfluence on the Atlantic: CarbOn export from Nitrogen fixation by DiAtom Symbioses) CTD bottle data matched to dissolved, inorganic nutrient concentrations and to stable isotope measurements of particulate nitrogen and carbon.\n\ncdm_data_type = Other\nVARIABLES:\nCruise (unitless)\nAnaconda_Num (unitless)\nNiskin_Bottle (unitless)\nCTD_Cast (unitless)\nStation (unitless)\nStnEvent (unitless)\nlongitude (degrees_east)\nLatitude (degrees_north)\nYearday (unitless)\nDate (unitless)\nMonth (unitless)\nDay (unitless)\nYear (unitless)\ntime_gmt (Time, unitless)\nHour (unitless)\nMinute (unitless)\ntime (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\nprDM (decibars (db))\nAverage_prDM (decibars (db))\ndepSM (m)\nAverage_depSM (m)\nt190C (degrees C, Celsius)\nAverage_t190C (degrees C, Celsius)\nPotential_Temperature (degrees C, Celsius)\nAverage_Potential_Temperature (degrees C, Celsius)\nsal00 (Practical Salinity Units (PSU))\n... (24 more variables)\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_919848_v1/index.htmlTable https://www.bco-dmo.org/dataset/919848 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_919848_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_919848_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_919848_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_919764_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_919764_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_919764_v1/ public [MV1110 Underway Nutrient and Particle Data] - Underway nutrient and particle data from R/V Melville cruise MV1110 in the Western Tropical North Atlantic in 2011 (Amazon iNfluence on the Atlantic: CarbOn export from Nitrogen fixation by DiAtom Symbioses) Dissolved, inorganic nutrient concentrations and stable isotope measurements of particulate nitrogen and carbon collected from the ship's Underway system while transiting between stations.\n\ncdm_data_type = Other\nVARIABLES:\nCruise (unitless)\nUnderway_StnEvent (unitless)\nDate (unitless)\ntime_gmt (Time, unitless)\ntime (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\nLongitude (degrees_north)\nlongitude (Latitude, degrees_east)\nSST (degrees C (Celsius))\nSSS (Practical Salinity Units (PSU))\nMean_PO4 (micromolar (uM))\nMean_Si (micromolar (uM))\nMean_NO3_NO2 (micromolar (uM))\nMean_N (unknown)\nd15N (permil (0/00))\nd13C (permil (0/00))\nC_to_N (unitless)\nTotal_Particulate_N (micromolar (uM))\nTotal_Particulate_C (micromolar (uM))\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_919764_v1/index.htmlTable https://www.bco-dmo.org/dataset/919764 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_919764_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_919764_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_919764_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_933216_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_933216_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_933216_v1/ public [NBP1201 CTD Profiles] - CTD profile casts collected on the RVIB Nathaniel B. Palmer cruise NBP1201 in the Ross Sea from December 2011 to February 2012 (Processes Regulating Iron Supply at the Mesoscale - Ross Sea) This dataset of CTD profile casts was collected on the RVIB Nathaniel B. Palmer, cruise ID NBP1201, in the Antarctic. The cruise took place from December 24, 2011 to February 10, 2012, and was conducted as part of the PRISM-RC project, \"Processes Regulating Iron Supply at the Mesoscale - Ross Sea\".\n\ncdm_data_type = Other\nVARIABLES:\ncruise_id (unitless)\nstation (unitless)\ntime (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\nyear (unitless)\nmonth (unitless)\nday (unitless)\nhour (unitless)\nminute (unitless)\nsecond (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\ntimeS (seconds)\nprDM (decibars (db))\nt090C (degrees Celsius)\nt190C (degrees Celsius)\nc0S_m (siemens per meter (S/m))\nc1S_m (siemens per meter (S/m))\nflECO_AFL (milligrams per cubic meter (mg/m^3))\nxmiss (unitless (percent))\naltM (meters (m))\npar (microEinsteins per square meter per second (uE/m^2/s))\ncpar (unitless (percent))\nspar (microEinsteins per square meter per second (uE/m^2/s))\nsbeox0V (volts (V))\n... (12 more variables)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_933216_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_933216_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_933216_v1/index.htmlTable https://www.bco-dmo.org/dataset/933216 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_933216_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_933216_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_933216_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_948358_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_948358_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_948358_v1/ public [Nitrate 15N/14N measurements in two adjacent mesoscale eddies in the North Pacific Subtropical Gyre] - Nitrate 15N/14N measurements in two adjacent mesoscale eddies in the North Pacific Subtropical Gyre from water samples collected on R/V Kilo Moana cruise KM1709 in June-July 2017 (CAREER: The biological nitrogen isotope systematics of ammonium consumption and production) Two adjacent mesoscale eddies of opposite polarity were surveyed during the MESO-SCOPE (Microbial Ecology of the Surface Ocean-Simons Collaboration on Ocean Processes and Ecology) expedition in June – July of 2017 aboard R/V Kilo Moana (cruise ID KM1709). The expedition aimed to understand the impact of mesoscale eddies on the ecosystem of the North Pacific Subtropical Gyre. Hydrographic water samples collected during the cruise were measured for nitrate 15N/14N isotope ratios using the denitrifier method. These measurements were performed by Mengyang Zhou at the University of Connecticut.\n\ncdm_data_type = Other\nVARIABLES:\nISO_DateTime_Local_HST (unitless)\ntime (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\nlatitude (degrees_north)\nlongitude (degrees_east)\nStation (unitless)\ndepth (m)\nMean_d15NNO3 (‰ vs. air)\nStdev_d15NNO3 (‰ vs. air)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_948358_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_948358_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_948358_v1/index.htmlTable https://www.bco-dmo.org/dataset/948358 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_948358_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_948358_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_948358_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_944886_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_944886_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_944886_v1/ public [Nitrous oxide and transient tracer concentrations in the tropical Pacific Ocean] - Nitrous oxide (N2O) and transient tracer (chlorofluorocarbons, sulfur hexafluoride) concentrations from samples collected on three GO-SHIP cruises in the tropical Pacific Ocean during 2015-2016 (Equatorial transport of nitrous oxide from the eastern tropical Pacific Ocean) Nitrous oxide (N2O) and transient tracer (chlorofluorocarbons, sulfur hexafluoride) concentrations were determined in water samples collected on three Global Ocean Ship-based Hydrographic Investigations Program (GO-SHIP) cruises to investigate the transport, production, and efflux of N2O across the tropical Pacific Ocean. The three GO-SHIP cruises were 1) P16N in April – May 2015 aboard the R/V Ronald H. Brown, 2) P15S in April – June 2016 aboard the R/V Investigator, and 3) P18 in Nov – Dec 2016 aboard the R/V Ronald H. Brown from rosettes of either 24 or 36 – 10-liter (L) Niskin bottles equipped with Seabird SBE9plus CTDs. Samples for dissolved chlorofluorocarbons (CFC–11, CFC-12), sulfur hexafluoride (SF6), and N2O were collected following the method described in Bullister et al. (2008).\n\ncdm_data_type = Other\nVARIABLES:\nCruise (unitless)\nStation (unitless)\ntime (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\nLongitude_360 (decimal degrees)\nlongitude (degrees_east)\nlatitude (degrees_north)\nBot_Depth (meters (m))\nPressure (decibars (db))\nSAMPNO (unitless)\nSAMPNO_QF (unitless)\nTEMPERATURE (degrees Celsius)\nCFC11 (picomoles per kilogram (pmol/kg))\nCFC11_QF (unitless)\nCFC12 (picomoles per kilogram (pmol/kg))\nCFC12_QF (unitless)\nSF6 (femptomoles per kilogram (fmol/kg))\nSF6_QF (unitless)\nCTD_SALINITY (unitless)\nCTD_SALINITY_QF (unitless)\nN2O (nanomoles per kilogram (nmol/kg))\nN2O_QF (unitless)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_944886_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_944886_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_944886_v1/index.htmlTable https://www.bco-dmo.org/dataset/944886 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_944886_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_944886_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_944886_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_914387_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_914387_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_914387_v1/ public [Normalized oxygen from MCH incubations] - Normalized oxygen from incubations conducted with methylcyclohexane using samples collected from the Gulf of Mexico during June 2015 on R/V Atlantis cruise AT29-02 (Collaborative Research: Chemical and microbiological studies of water-soluble alkanes in the ocean) Hydrocarbon incubations were conducted with water collected from 1000 meters depth in the Gulf of Mexico across four stations during cruise AT29-02 on the R/V Atlantis. Sample collection occurred June 16-17, 2015. Each incubation was injected with 10 microliters of methylcyclohexane (MCH) or methylcyclopentane (MCP). Each incubation was monitored for oxygen content using remote optical oxygen sensors. After we observed a respiration signal, we sacrificially harvested each bottle for cell counts, nutrients, and DNA. Incubation time varied from 10-31 days. These data were used to assess who consumes these compounds in the deep Gulf of Mexico, over what time frame, and what metabolic pathways bacteria use to consume them. This dataset includes the normalized oxygen measurements from the MCH incubations.\n\ncdm_data_type = Other\nVARIABLES:\nStation (unitless)\nlatitude (Station_latitude, degrees_north)\nlongitude (Station_longitude, degrees_east)\nISO_DateTime_Local (unitless)\ntime (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\nReplicate (unitless)\nTime_hours (hours)\nTime_days (days)\nOxygen_loss (micromolar (uM))\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_914387_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_914387_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_914387_v1/index.htmlTable https://www.bco-dmo.org/dataset/914387 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_914387_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_914387_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_914387_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_914511_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_914511_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_914511_v1/ public [Normalized oxygen from MCP incubations] - Normalized oxygen from incubations conducted with methylcyclopentane using samples collected from the Gulf of Mexico during June 2015 on R/V Atlantis cruise AT29-02 (Collaborative Research: Chemical and microbiological studies of water-soluble alkanes in the ocean) Hydrocarbon incubations were conducted with water collected from 1000 meters depth in the Gulf of Mexico across four stations during cruise AT29-02 on the R/V Atlantis. Sample collection occurred June 16-17, 2015. Each incubation was injected with 10 microliters of methylcyclohexane (MCH) or methylcyclopentane (MCP). Each incubation was monitored for oxygen content using remote optical oxygen sensors. After we observed a respiration signal, we sacrificially harvested each bottle for cell counts, nutrients, and DNA. Incubation time varied from 10-31 days. These data were used to assess who consumes these compounds in the deep Gulf of Mexico, over what time frame, and what metabolic pathways bacteria use to consume them. This dataset includes the normalized oxygen measurements from the MCP incubations.\n\ncdm_data_type = Other\nVARIABLES:\nStation (unitless)\nlatitude (Station_latitude, degrees_north)\nlongitude (Station_longitude, degrees_east)\nISO_DateTime_Local (unitless)\ntime (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\nReplicate (unitless)\nTime_hours (hours)\nTime_days (days)\nOxygen_loss (micromolar (uM))\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_914511_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_914511_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_914511_v1/index.htmlTable https://www.bco-dmo.org/dataset/914511 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_914511_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_914511_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_914511_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_914186_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_914186_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_914186_v1/ public [Nutrient and cell count data for incubations] - Nutrient and cell count data from incubations conducted with methylcyclohexane or methylcyclopentane on samples collected from the Gulf of Mexico during June 2015 on R/V Atlantis cruise AT29-02 (Collaborative Research: Chemical and microbiological studies of water-soluble alkanes in the ocean) Hydrocarbon incubations were conducted with water collected from 1000 meters depth in the Gulf of Mexico across four stations during cruise AT29-02 on the R/V Atlantis. Sample collection occurred June 16-17, 2015. Each incubation was injected with 10 microliters of methylcyclohexane (MCH) or methylcyclopentane (MCP). Each incubation was monitored for oxygen content using remote optical oxygen sensors. After we observed a respiration signal, we sacrificially harvested each bottle for cell counts, nutrients, and DNA. Incubation time varied from 10-31 days. These data were used to assess who consumes these compounds in the deep Gulf of Mexico, over what time frame, and what metabolic pathways bacteria use to consume them.\n\ncdm_data_type = Other\nVARIABLES:\nRank (unitless)\nType (unitless)\nStation (unitless)\nlatitude (Station_latitude, degrees_north)\nlongitude (Station_longitude, degrees_east)\nISO_DateTime_Local (unitless)\ntime (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\nPhosphate (micromolar (uM))\nNitrite (micromolar (uM))\nAmmonia (micromolar (uM))\nNitrate (micromolar (uM))\nTotal_Oxygen_Loss (micromolar (uM))\nNormalized_Oxygen_Loss (micromolar (uM))\nTotal_Incubation_Time_Days (days)\nCell_Abundance (cells per milliliter (cells/mL))\nBloom_Onset_Time_Days (days)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_914186_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_914186_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_914186_v1/index.htmlTable https://www.bco-dmo.org/dataset/914186 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_914186_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_914186_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_914186_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_918545_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_918545_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_918545_v1/ public [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).\n\nOrganic 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.\n\ncdm_data_type = Other\nVARIABLES:\nID (unitless)\nCollection_Date (unitless)\nCollection_Time (unitless)\ntime (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\nLatitude (degrees_north)\nlongitude (degrees_east)\nSalinity (unitless)\nIn_Situ_Water_Temperature (degrees Celcius)\npHT (unitless (total scale))\npH_Method (unitless)\npCO2 (microatmospheres)\nDOC (micromoles carbon per liter)\nT_Alk (micromoles per kilogram)\nDIC (micromoles per kilogram)\nOrgAlk_from_Endpoint_Titration (micromoles per kilogram)\n... (9 more variables)\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_918545_v1/index.htmlTable https://www.bco-dmo.org/dataset/918545 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_918545_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_918545_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_918545_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_913904_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_913904_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_913904_v1/ public [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.\n\ncdm_data_type = Other\nVARIABLES:\nstation (unitless)\nlat (degrees_north)\nlongitude (degrees_east)\ntime (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\nbottle (unitless)\npressure (decibars (dbar))\ntemperature (degrees Celsius)\nsalinity (PSU)\nHe3_sat_anomaly (percent (%))\nHelium_concentration (moles per kilogram (mol/kg))\nNeon_concentration (moles per kilogram (mol/kg))\nArgon_concentration (moles per kilogram (mol/kg))\nKrypton_concentration (moles per kilogram (mol/kg))\nXenon_concentration (moles per kilogram (mol/kg))\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_913904_v1/index.htmlTable https://www.bco-dmo.org/dataset/913904 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_913904_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_913904_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_913904_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_881069_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_881069_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_881069_v1/ public [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.\n\ncdm_data_type = Other\nVARIABLES:\nStation (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\nDate (unitless)\nIncubation_Start_Time (unitless)\nISO_DateTime_UTC (unitless)\ndepth (m)\nIncubation_Light_Level (unitless)\nNitrate (micromoles per Liter (umol/L))\nNO3_Uptake (micromoles per Liter per day (umol/L/day))\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_881069_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_881069_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_881069_v1/index.htmlTable https://www.bco-dmo.org/dataset/881069 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_881069_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_881069_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_881069_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_910948_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_910948_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_910948_v1/ public [Particulate Organic Matter from BVal58 Cruise] - Concentrations of particulate organic matter (POC, PON, POP, PCOD), total oxygen demand, POM ratios, and respiration ratios from samples collected on R/V Atlantic Explorer BATS validation study #58 in the Sargasso Sea in October 2021 (Quantifying ocean oxygen-to-carbon demand by chemical analyses and inverse models) This dataset includes suspended concentrations of particulate organic carbon (POC), particulate organic nitrogen (PON), particulate organic phosphorus (POP), particulate chemical oxygen demand (PCOD), and total oxygen demand (Sigma_-O2 = PCOD + 2PON) down to a depth of 1000 meters (m) in the Sargasso Sea. This dataset also includes POM ratios (C/N, C/P, & N/P) and respiration ratios (PCOD/POC, Sigma_-O2/C, Sigma_-O2/N, & Sigma_-O2/P) with depth. These measurements were quantified from seawater samples collected aboard the R/V Atlantic Explorer as part of the Bermuda Atlantic Time-series Study Validation cruise #58 (BVal58). BVal58 started at St. George's, Bermuda on 11 October 2021 and the research group disembarked in San Juan, Puerto Rico on 21 October 2021. Euphotic zone samples (5 - 120 m) were collected using a CTD bottle rosette and disphotic zone samples (150 - 1000 m) were collected using large volume pumps.\n\nClimate-induced ocean deoxygenation is increasing, but biological components of oxygen loss remain unconstrained. We determined from this dataset that the total respiration quotient, Sigma_-O2/C, and other respiration ratios of POM vary with depth.\n\ncdm_data_type = Other\nVARIABLES:\nStation (unitless)\nMcLane_Cast (unitless)\ntime (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\nLatitude (degrees_north)\nlongitude (degrees_east)\ndepth (Depth_m, m)\nVolume_L (liters (L))\nFilter_Num (unitless)\nDuplicate_Filter_Num (unitless)\nPOP1 (nanomolar (nM))\nPOP2 (nanomolar (nM))\nPOP3 (nanomolar (nM))\nPOP4 (nanomolar (nM))\nPOP5 (nanomolar (nM))\n... (26 more variables)\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_910948_v1/index.htmlTable https://www.bco-dmo.org/dataset/910948 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_910948_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_910948_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_910948_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_651890_v2 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_651890_v2.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_651890_v2/ public [Pico- and nanoplankton abundance: FCM: EN532 and EN538] - Pico- and Nanoplankton concentrations from CTD cast deployments collected from the R/V Endeavor (EN532, EN538) cruises in the subarctic Atlantic Ocean from 2013-2014 (Functional diversity of marine eukaryotic phytoplankton and their contributions to the C and N cycling) This dataset includes pico- and nanoplankton concentrations from CTD cast deployments collected from the R/V Endeavor (EN532, EN538) cruises in the subarctic Atlantic Ocean from 2013-2014.\n\ncdm_data_type = Other\nVARIABLES:\ncruise_id (unitless)\ncast (unitless)\ntime (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\nlatitude (degrees_north)\nlongitude (degrees_east)\nlon_360 (decimal degrees)\ndepth_w (meters)\ndepth (m)\nSyn_biomass_nMC (nanomoles Carbon per liter (nmol C/liter))\nSyn_cells_per_ml (cells/milliliter)\nSyn_cells_per_ml_flag (unitless)\npicoEuk_biomass_nMC (nanomoles Carbon per liter (nmol C/liter))\npicoEuk_cells_per_ml (cells/milliliter)\npicoEuk_cells_per_ml_flag (unitless)\nPE_Euk_biomass_nMC (nanomoles Carbon per liter (nmol C/liter))\nPE_Euk_cells_per_ml (cells/milliliter)\nPE_Euk_cells_per_ml_flag (unitless)\ntotnanoEuk_biomass_nMC (nanomoles Carbon per liter (nmol C/liter))\ntotnanoEuk_cells_per_ml (cells/milliliter)\ntotnanoEuk_cells_per_ml_flag (unitless)\ncocco_biomass_nMC (nanomoles Carbon per liter (nmol C/liter))\ncocco_cells_per_ml (cells/milliliter)\ncocco_cells_per_ml_flag (unitless)\nProchlor_biomass_nMC (nanomoles Carbon per liter (nmol C/liter))\nProchlor_cells_per_ml (cells/milliliter)\nProchlor_cells_per_ml_flag (unitless)\n... (6 more variables)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_651890_v2_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_651890_v2_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_651890_v2/index.htmlTable https://www.bco-dmo.org/dataset/651890 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_651890_v2.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_651890_v2&showErrors=false&email= BCO-DMO bcodmo_dataset_651890_v2
log in [ProteOMZ Peptide Level Spectral Counts] - Total spectral counts of peptides from the R/V Falkor cruise 160115 in the Central Pacific for the ProteOMZ expedition in 2016 (The ProteOMZ Expedition: Investigating Life Without Oxygen in the Pacific Ocean) Relative protein abundance data of the upper 1000m water column from the ProteOMZ R/V Falkor expedition. There are 109952 unique peptides, each with spectral counts associated with each of the 103 samples, for 10 million data points.\n\ncdm_data_type = Other\nVARIABLES:\nsample_id (unitless)\nMS_MS_sample_name (unitless)\nprotein_id (unitless)\nprotein_molecular_weight_kDa (kDa)\nbest_protein_id_probability (unitless)\npeptide_sequence (unitless)\npeptide_start_index (unitless)\npeptide_stop_index (unitless)\nplus2H_spectra_count (count)\nplus3H_spectra_count (count)\nplus4H_spectra_count (count)\nbest_sequest_DCn_score (unitless)\nbest_sequest_Xcorr_score (unitless)\nmedian_retention_time (minutes)\ntotal_precursor_intensity (unitless)\nTIC (unitless)\nspectral_count_sum (count)\nother_protein_ids (unitless)\nstation_id (unitless)\ndepth (Depth_m, m)\nlatitude (Latitude_dd, degrees_north)\nlongitude (Longitude_dd, degrees_east)\ndate_ymd (unitless)\ntime_hms (unitless)\nminimum_filter_size_microns (microns)\nmaximum_filter_size_microns (microns)\ncruise_id (unitless)\ntime (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\n BCO-DMO bcodmo_dataset_737596_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_737620_v3 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_737620_v3.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_737620_v3/ public [ProteOMZ Protein Level Spectral Counts] - Total spectral count of proteins from R/V Falkor cruise 160115 for the ProteOMZ expedition in the Central Pacific in 2016 (The ProteOMZ Expedition: Investigating Life Without Oxygen in the Pacific Ocean) Relative protein abundance data of the upper 1000m water column from the ProteOMZ R/V Falkor expedition. There are 56,577 protein identifications over 102 samples, for ~6 million data points.\n\ncdm_data_type = Other\nVARIABLES:\nsample_id (untiless)\nMS_MS_sample_name (untiless)\nstation_id (unitless)\ndepth (Depth_m, m)\nlatitude (Latitude_dd, degrees_north)\nlongitude (Longitude_dd, degrees_east)\ndate_ymd (unitless)\ntime_hms (unitless)\nminimum_filter_size_microns (microns)\nmaximum_filter_size_microns (microns)\ncruise_id (unitless)\nprotein_id (unitless)\nspectral_count_sum (count)\nmolecular_weight_kDa (kDa)\nprotein_name (unitless)\nncbi_id (taxon)\nncbi_name (verbatimIdentifiation)\nkegg_id (unitless)\nkegg_description (unitless)\nkegg_pathway (unitless)\npfams_id (unitless)\npfams_name (unitless)\nuniprot_id (unitless)\nenzyme_comm_id (unitless)\ntime (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_737620_v3_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_737620_v3_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_737620_v3/index.htmlTable https://www.bco-dmo.org/dataset/737620 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_737620_v3.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_737620_v3&showErrors=false&email= BCO-DMO bcodmo_dataset_737620_v3
log in [Pump CTD Profiles] - Pump CTD profiles from the EMB276 cruise on R/V Elisabeth Mann Borgese in the Baltic Sea from September 20-27, 2021 (Collaborative Research: Manganese Cycling and Coupling Across Redox Boundaries within Stratified Basins of the Baltic Sea) Pump CTD profiles  include data on time, latitude, longitude, depth, h2s, o2, sulfide, pH, po4, NO3, NO2, NH4, SiO2, fluorescence, turbidity, density, temperature, and salinity from six stations in the Baltic Sea collected between September 20 - 27, 2021. Data was collected from the R/V Elisabeth Mann Borgese.\n\ncdm_data_type = Other\nVARIABLES:\ncruise_name (unitless)\nstation_number (unitless)\nstation_name (unitless)\ndate (unitless)\ntime_UTC (unitless)\ntime (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\nlatitude (Latitude_n, degrees_north)\nlongitude (Longitude_e, degrees_east)\nmax_depth_m (meters (m))\ndepth (m)\nH2S_uM (micromolar (µM))\nO2_uM (micromolar (µM))\ntotal_sulfide_umol_l (micromole per liter (µmol/L))\npH (unitless)\nPO4_umol_l (micromole per liter (µmol/L))\nNO3 (micromole per liter (µmol/L))\nNO2_umol_l (micromole per liter (µmol/L))\nNH4_umol_l (micromole per liter (µmol/L))\nSiO2_umol_l (micromole per liter (µmol/L))\nFluor_mg_m3 (mg/m^3)\nTurb_NTU (NTU)\nDensity_Sig_tet (unitless)\nTemp_C (degrees Celsius (°C))\nSalinity_PSU_ (PSU)\n BCO-DMO bcodmo_dataset_934904_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_768259_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_768259_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_768259_v1/ public [Ross Sea metaproteome peptide spectral counts] - Ross Sea metaproteome peptide spectral counts searched against Phaeocystis strain transcriptome from net tows during RVIB Nathaniel B. Palmer cruise NBP0601 in December of 2015 (Controls of Ross Sea Algal Community Structure) A net tow metaproteome of a Phaeocystis antarctica bloom in the Ross Sea, mapped here to Phaeocystis metatranscriptomes analyzed by 2D LCMS, in units of peptide spectral counts.\n\ncdm_data_type = Other\nVARIABLES:\nsample_id (unitless)\ncruise_id (unitless)\nstation_id (unitless)\nlatitude_dd (degrees_north)\nlongitude (Longitude_dd, degrees_east)\ndepth (Depth_m, m)\ndate_local (unitless)\ntime_local (unitless)\nminimum_filter_size_microns (microns (um))\nmaximum_filter_size_microns (microns (um))\npeptide_sequence (unitless)\npeptide_start_index (unitless)\npeptide_stop_index (unitless)\nprotein_molecular_weight_kDa (kilo-Daltons (kDa))\nprotein_id (unitless)\nspectral_count_sum (unitless)\nother_protein_ids (unitless)\nbest_protein_id_probability (unitless)\nbest_sequest_DCn_score (unitless)\nbest_sequest_Xcorr_score (unitless)\nplus2H_spectra_count (unitless)\nplus3H_spectra_count (unitless)\nplus4H_spectra_count (unitless)\nmedian_retention_time (unitless)\ntotal_precursor_intensity (unitless)\nTIC (unitless)\nabsolute_units_fmol_L (femtomoles per liter (fmol/L))\ntime (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_768259_v1/index.htmlTable https://www.bco-dmo.org/dataset/768259 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_768259_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_768259_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_768259_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_768259_v2 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_768259_v2.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_768259_v2/ public [Ross Sea metaproteome peptide spectral counts] - Ross Sea metaproteome peptide spectral counts searched against Phaeocystis strain transcriptome from net tows during RVIB Nathaniel B. Palmer cruise NBP0601 in December of 2015 (Controls of Ross Sea Algal Community Structure) A net tow metaproteome of a Phaeocystis antarctica bloom in the Ross Sea, mapped here to Phaeocystis metatranscriptomes analyzed by 2D LCMS, in units of peptide spectral counts.\n\ncdm_data_type = Other\nVARIABLES:\nsample_id (unitless)\ncruise_id (unitless)\nstation_id (unitless)\nlatitude_dd (degrees_north)\nlongitude (Longitude_dd, degrees_east)\ndepth (Depth_m, m)\ndate_local (unitless)\ntime_local (unitless)\nminimum_filter_size_microns (microns (um))\nmaximum_filter_size_microns (microns (um))\npeptide_sequence (unitless)\npeptide_start_index (unitless)\npeptide_stop_index (unitless)\nprotein_molecular_weight_kDa (kilo-Daltons (kDa))\nprotein_id (unitless)\nspectral_count_sum (unitless)\nother_protein_ids (unitless)\nbest_protein_id_probability (unitless)\nbest_sequest_DCn_score (unitless)\nbest_sequest_Xcorr_score (unitless)\nplus2H_spectra_count (unitless)\nplus3H_spectra_count (unitless)\nplus4H_spectra_count (unitless)\nmedian_retention_time (unitless)\ntotal_precursor_intensity (unitless)\nTIC (unitless)\nabsolute_units_fmol_L (femtomoles per liter (fmol/L))\ntime (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_768259_v2/index.htmlTable https://www.bco-dmo.org/dataset/768259 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_768259_v2.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_768259_v2&showErrors=false&email= BCO-DMO bcodmo_dataset_768259_v2
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_768237_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_768237_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_768237_v1/ public [Ross Sea metaproteome protein spectral counts] - Ross Sea metaproteome protein spectral counts searched against Phaeocystis strain transcriptome from net tows during RVIB Nathaniel B. Palmer cruise NBP0601 in December of 2015 (Controls of Ross Sea Algal Community Structure) A net tow metaproteome of a Phaeocystis antarctica bloom in the Ross Sea, mapped here to Phaeocystis metatranscriptomes analyzed by 2D LCMS, in units of protein spectral counts.\n\ncdm_data_type = Other\nVARIABLES:\nsample_id (unitless)\ncruise_id (unitless)\nstation_id (unitless)\nlatitude_dd (degrees_north)\nlongitude (Longitude_dd, degrees_east)\ndepth (Depth_m, m)\ndate_local (unitless)\ntime_local (unitless)\nminimum_filter_size_microns (microns (um))\nmaximum_filter_size_microns (microns (um))\nprotein_id (unitless)\nprotein_name (unitless)\nspectral_count (count)\nmolecular_weight_kDa (kilo-Daltons (kDa))\nncbi_id (unitless)\nncbi_name (unitless)\nkegg_id (unitless)\nkegg_description (unitless)\nkegg_pathway (unitless)\npfams_id (unitless)\npfams_name (unitless)\nuniprot_id (unitless)\nenzyme_comm_id (unitless)\nother_identified_proteins (unitless)\ntime (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_768237_v1/index.htmlTable https://www.bco-dmo.org/dataset/768237 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_768237_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_768237_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_768237_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_943418_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_943418_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_943418_v1/ public [RR2201 Event Log] - Scientific sampling event log from R/V Roger Revelle cruise RR2201 in the Eastern Indian Ocean (Argo Basin) from January to March 2022 (Collaborative Research: Mesoscale variability in nitrogen sources and food-web dynamics supporting larval southern bluefin tuna in the eastern Indian Ocean) This event log contains unique event numbers, locations (latitude, longitude), dates, times, and related information for sampling operations conducted for the BLOOFINZ-IO Project on cruise RR2201 (R/V Roger Revelle) off of NW Australia in January-March 2021. Submitted data for this project will reference event numbers and sampling information in this file, and this file provides the broader context for related samplings that may have been done in temporal or spatial proximity to one another.\n\ncdm_data_type = Other\nVARIABLES:\nMessage_ID (unitless)\nEvent (unitless)\nDate (unitless)\ntime (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\nlatitude (degrees_north)\nlongitude (degrees_east)\nInstrument (unitless)\nAction (unitless)\nTransect_Cycle (unitless)\nStation (unitless)\nCast_Tow (unitless)\nAuthor (unitless)\nComment (unitless)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_943418_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_943418_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_943418_v1/index.htmlTable https://www.bco-dmo.org/dataset/943418 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_943418_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_943418_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_943418_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_924943_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_924943_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_924943_v1/ public [RR2311 Bottle Data] - RR2311 bottle data from R/V Roger Revelle cruise RR2311 in the Eastern Tropical South Pacific from November to December 2023 (Nitrite Oxidation in Oxygen Minimum Zones) This dataset includes the Niskin bottle data collected on R/V Roger Revelle cruise RR2311 in the Eastern Tropical South Pacific, off the coast of Chile and Peru,  from November to December 2023. Data were processed with Seasave V 7.26.7.121.\n\ncdm_data_type = Other\nVARIABLES:\nCast (unitless)\nBottle (unitless)\ntime (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\nMonth (unitless)\nDay (unitless)\nYear (unitless)\nTime (unitless)\nLatitude (degrees_north)\nlongitude (degrees_east)\ndepth (m)\nSigmaTheta (kilograms per cubic meter (kg/m3))\nSalinity (PSU)\nTemperature (degrees Celsius)\nChlFlour (milligrams per cubic meter (mg/m3))\nOxygen (micromoles per liter (umol/l))\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_924943_v1/index.htmlTable https://www.bco-dmo.org/dataset/924943 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_924943_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_924943_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_924943_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_925001_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_925001_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_925001_v1/ public [RR2311 Event Log] - Event log of all over the side deployments on R/V Roger Revelle cruise RR2311 in the Eastern Tropical South Pacific from November to December 2023 (Nitrite Oxidation in Oxygen Minimum Zones) This dataset is an event log of all over the side deployments on R/V Roger Revelle cruise RR2311 in the Eastern Tropical South Pacific, off the coast of Chile and Peru, from November to December 2023.\n\ncdm_data_type = Other\nVARIABLES:\nDate (unitless)\nLocal_Time_in_water (unitless)\nISO_DateTime_Local (unitles)\nUTC (unitless)\ntime (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\nEvent (unitless)\nStation (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\nAir_Temp (degrees Celsius)\nSurface_Temp (degrees Celsius)\nRosette (unitless)\nLog_Taker (unitless)\nEvents_and_Notes (unitless)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_925001_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_925001_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_925001_v1/index.htmlTable https://www.bco-dmo.org/dataset/925001 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_925001_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_925001_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_925001_v1
log in [RV Falkor 160115 McLane Pump Log] - R/V Falkor 160115 McLane pump log from the ProteOMZ expedition in the Central Pacific during 2016 (ProteOMZ project) (The ProteOMZ Expedition: Investigating Life Without Oxygen in the Pacific Ocean) R/V Falkor 160115 McLane pump log from the ProteOMZ expedition in the Central Pacific during 2016.\n\ncdm_data_type = Other\nVARIABLES:\ncruise (unitless)\nstation (unitless)\ndate (unitless)\ntime_unitless (Time, unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\ncast (unitless)\npump_serial_num (unitless)\npump_num (unitless)\nfilter_stand (unitless)\ndepth (m)\npump_start_time (unitless)\nset_pump_time (minutes)\nGFF_flow_meter_volume (liters)\nsupor_flow_meter_volume (liters)\ntotal_start (liters)\nadded_total_of_supor_and_GFF (liters)\ntotal_end (liters)\ndifference (liters)\npump_msg (unitless)\nnotes (unitless)\ntime (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\n BCO-DMO bcodmo_dataset_708495_v3
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_945362_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_945362_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_945362_v1/ public [Salinity data logger Delaware River 2021] - Salinity data collected from near-bottom HOBO logger placed in oyster beds in the Delaware Bay Apr 2021 to Nov 2021 (SEGO project) (Collaborative Research: Spatial analysis of genetic differences in salinity tolerance resulting from rapid natural selection in estuarine oysters) Salinity data was collected at three stations (Hope Creek, Cohansey, and New Beds) in the Delaware River from May to November, 2021 as part of the Selection along Estuarine Gradients in Oysters (SEGO) project. Data loggers were suspended near-bottom and swapped out monthly to provide a timeseries of near-bottom salinity at the three stations. Dr. Daphne Munroe led the collection of this data on the research cruise conducted by Rutgers University on the R/V Bivalve. This dataset was curated by graduate student Archi Howlader who used it to validate empirical model predictions of salinity at these stations.\n\ncdm_data_type = Other\nVARIABLES:\ntime (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\nStation (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\nConductivity (microsiemens per centimeter (uS/cm))\nTemperature (degrees Celsius)\nSalinity (psu)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_945362_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_945362_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_945362_v1/index.htmlTable https://www.bco-dmo.org/dataset/945362 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_945362_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_945362_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_945362_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_880760_v2 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_880760_v2.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_880760_v2/ public [Sample Stations for COP Cruises 2021-2022] - Sample stations for the Neotrypaea COP (Community, Oxygen, & Productivity) Effects ground-truth cruises in 2021 and 2022 (Environmental consequences of expanded recruitment of an ecosystem engineer on a hypoxia-influenced continental shelf) Benthic invertebrate communities, that the highly productive US West Coast fishery species and marine mammals rely on for food, are being increasingly impacted by low oxygen conditions. This project addresses the potential ecological consequences of a new member to these benthic communities, the ghost shrimp Neotrypaea. In estuaries, Neotrypaea continuously rework the sediment via their burrowing activities. Their high abundances and geological effects make them important in mitigating impacts of nutrient run-off (natural and human-induced), which can exacerbate low oxygen conditions. Neotrypaea are also considered threats to the oyster industry because of their sediment-excavating activities. An expansion of their distribution beyond estuaries may have additional consequences for the Dungeness crab fishery (regionally valued at $33-74M/y) as Neotrypaea sp. are both competitors with juveniles and prey for larger Dungeness crab. This project will ground-truth predictions of Neotrypaea's new offshore distribution with video and sample collections. Using box core samples we will document differences in potentially interacting benthic communities within the Neotrypaea beds as compared to areas not colonized by the shrimp. These new data are needed to determine whether the existing species composition is altered by the recruitment of Neotrypaea. We will estimate the shrimp's contribution to benthic oxygen and nutrient fluxes by using aquatic eddy covariance (EC) methods and core incubations in shelf areas with and without abundant shrimp. This dataset includes the sampling locations for the model ground-truthing/community changes (box core collections) and the EC lander deployment and slow core collections. Coastal waters along the OR-WA shelf are subject to growing human related management, extractive, cultural, and recreational activities. This research is particularly needed for commercial fisheries stakeholders in decisions regarding ocean-use planning and be valuable to oyster growers concerned over burrowing shrimp pest management.\n\ncdm_data_type = Other\nVARIABLES:\nSample (unitless)\nSample_Date (unitless)\nProject (unitless)\nVessel (unitless)\nCruiseID (unitless)\nSite (unitless)\n... (13 more variables)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_880760_v2_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_880760_v2_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_880760_v2/index.htmlTable https://www.bco-dmo.org/dataset/880760 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_880760_v2.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_880760_v2&showErrors=false&email= BCO-DMO bcodmo_dataset_880760_v2
log in [Seaglider observations at Station ALOHA in the North Pacific Subtropical Gyre] - Depth profiles from Seagliders 146, 147, 148, 511, 512, and 626 in a total of 18 missions at Station ALOHA in the North Pacific Subtropical Gyre from 2008-2023 (Oligotrophic ocean metabolism from underwater glider observations) This dataset includes over 20,000 depth profiles collected with underwater gliders in a total of 18 missions between 2008 and 2023. The glider missions were centered at the long-term sampling site of the Hawaii Ocean Time-series (HOT) program, Station ALOHA (22°45′N, 158°W), within the North Pacific Subtropical Gyre. The gliders were equipped with sensors to measure temperature, salinity, pressure, dissolved oxygen concentration, chlorophyll a concentration from fluorescence (excitation/emission lambda = 470/695 nm), and the particulate backscattering coefficient at three wavelengths (lambda = 470 nm, 700 nm, and either 650 or 660 nm depending upon mission). Vertical profiles down to at least 200 m were collected for all sensors over periods of several months per mission. Chlorophyll a and oxygen concentrations are calibrated with discrete observations. Particulate backscattering coefficients are corrected with an additional dark subtraction. This dataset differs from the raw data files in that it is quality controlled, calibrated, and corrected. Raw data files can be found at https://hahana.soest.hawaii.edu/seagliders/index.php. The glider observations were collected over the years by Dr. Karl, with different funding sources (including NSF) to investigate carbon cycle processes in the oligotrophic North Pacific Subtropical Gyre. Dr. Ferron and Dr. Barone received NSF funding to conduct a re-analysis of this comprehensive dataset in order to characterize metabolic rates and understand their patterns of variability. Dr. Garcia conducted the data processing that resulted in this curated dataset. Steve Poulos operated the Seagliders in all missions.\n\ncdm_data_type = Other\nVARIABLES:\nseaglider_deployment (unitless)\nseaglider_platform (unitless)\nseaglider_mission (unitless)\ntime (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\nlatitude (degrees_north)\nlongitude (degrees_east)\ndepth (m)\ndivenum (unitless)\ndirection (unitless)\ntemp (degrees Celsius)\n... (13 more variables)\n BCO-DMO bcodmo_dataset_928732_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_918364_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_918364_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_918364_v1/ public [Seasonal temperatures on Floridian coral reef] - In situ temperature data from August 2019 to May 2020 from one HOBO temperature logger deployed at Emerald Reef in Southeast Florida, USA (Collaborative Research: Assessing the changing symbiotic milieu on Caribbean coral reefs under climate change: magnitude, tradeoffs, interventions, and implications) This dataset contains in situ temperature data from August 2019 to May 2020 from one HOBO temperature logger deployed at Emerald Reef at 7.8 meters depth in southeast Florida. Coral cores were collected from this reef and underwent experimental heat stress. In situ temperature data were used to inform seasonal temperature variation on this reef. The publication based on these data is Buzzoni, et al. (2023) (DOI: 10.1007/s00338-023-02428-x).\n\ncdm_data_type = Other\nVARIABLES:\nISO_DateTime_EST (unitless)\ntime (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\nTemp (degrees Celsius)\nLatitude (degrees_north)\nlongitude (degrees_east)\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_918364_v1/index.htmlTable https://www.bco-dmo.org/dataset/918364 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_918364_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_918364_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_918364_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_914715_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_914715_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_914715_v1/ public [Short-term heat stress assay: Temperature data] - Temperature data from a standardized short-term (18 hour) heat stress assay of Montipora capitata and Porites compressa collected at a patch reef in Kane'ohe Bay, O'ahu, Hawai'i in September of 2022 (RAPID: Collaborative Research: Disentangling the effects of heat stress versus bleaching phenotype on coral performance) Increasingly frequent marine heatwaves are devastating coral reefs. Corals that survive these extreme events must rapidly recover if they are to withstand subsequent events, and long-term survival in the face of rising ocean temperatures may hinge on recovery capacity and acclimatory gains in heat tolerance over an individual's lifespan. To better understand coral recovery trajectories in the face of successive marine heatwaves, we monitored the responses of bleaching-susceptible and bleaching-resistant individuals of two dominant coral species in Hawaiʻi, Montipora capitata and Porites compressa, over a decade that included three marine heatwaves. This dataset includes the temperature data from the standardized short-term (18 hour) heat stress assay.\n\ncdm_data_type = Other\nVARIABLES:\nDate (unitless)\ntime_local (Time, unitless)\nhour (hours)\nTemperature (degrees celcius)\nTreatment (unitless)\nDate_Time (unitless)\ntime (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_914715_v1/index.htmlTable https://www.bco-dmo.org/dataset/914715 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_914715_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_914715_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_914715_v1
log in [SOLARIS Superoxide and Standard CTD Profiles] - SOLARIS superoxide and standard CTD profiles from the EMB276 cruise on R/V Elisabeth Mann Borgese in the Baltic Sea from September 20-27, 2021 (Collaborative Research: Manganese Cycling and Coupling Across Redox Boundaries within Stratified Basins of the Baltic Sea) SOLARIS superoxide profiles and standard CTD profiles including oxygen, turbidity, fluorescence, temperature, and PAR data from seven stations in the Baltic Sea collected between September 20 - 27, 2021. Data was collected from the R/V Elisabeth Mann Borgese.\n\ncdm_data_type = Other\nVARIABLES:\ncruise_name (unitless)\nstation_name (unitless)\ncast_number (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\nDate (unitless)\nTime_Start_UTC (unitless)\ntime (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\ndepth (Depth_m, m)\nSuperoxide_nM (nanomolar (nm))\nOxygen_uM (micromolar (um))\nPAR (mol?m ?2 ?s ?1.)\nFluorescence (mg/m^3)\nTurbidity_NTU (NTU (Nephelometric Turbidity Unit))\nTemp_C (degrees Celsius (°C))\nSalinity_PSU (PSU)\n BCO-DMO bcodmo_dataset_935118_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_894249_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_894249_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_894249_v1/ public [Squidpop Assays 2021] - Results from predation assays (squidpops) conducted along rocky reefs of the Western coast of San Cristobal, Galapagos from June to November 2021 to determine fish predation intensity across a spatial and temporal temperature gradient (The Role of Temperature in Regulating Herbivory and Algal Biomass in Upwelling Systems) This dataset contains results from predation assays (squidpops) to determine fish predation intensity across a spatial and temporal gradient of temperature. Assays were conducted between June and November 2021 at six locations of rocky reefs along the Western coast of San Cristobal, the eastern Island of the Galapagos Archipelago.\n\ncdm_data_type = Other\nVARIABLES:\nYear (unitless)\nMonth (unitless)\nDate (unitless)\nTime_Local (unitless)\nISO_DateTime_Local (unitless)\ntime (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\nCode1 (unitless)\nLocality (unitless)\nLatitude (degrees_north)\nlongitude (degrees_east)\nSeason (unitless)\nHabitat (unitless)\ndepth (m)\nTemperature (degrees Celsius)\nSquidpop (unitless)\nEaten (unitless)\nCode2 (unitless)\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_894249_v1/index.htmlTable https://www.bco-dmo.org/dataset/894249 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_894249_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_894249_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_894249_v1
log in [STING macronutrient concentrations] - Dissolved Macronutrient Concentrations from Depth Profiles and Incubation Experiments from STING I Cruise AE2305 on R/V Atlantic Explorer in the Gulf of Mexico from February to March 2023 (Collaborative Research: Linking iron and nitrogen sources in an oligotrophic coastal margin: Nitrogen fixation and the role of boundary fluxes) Concentrations of inorganic dissolved macronutrients, including phosphate, nitrate plus nitrite (N+N), silicic acid, and nitrite, from phytoplankton shipboard incubation experiments and depth profiles collected on STING I cruise AE2305 on R/V Atlantic Explorer in the Gulf of Mexico from February to March 2023.\n\nThis project investigates how groundwater discharge delivers important nutrients to the coastal ecosystems of the West Florida Shelf. Preliminary studies indicate that groundwater may supply both dissolved organic nitrogen (DON) and iron in this region. In coastal ecosystems like the West Florida Shelf that have very low nitrate and ammonium concentrations, DON is the main form of nitrogen available to organisms. Nitrogen cycling is strongly affected by iron availability because iron is essential for both photosynthesis and for nitrogen fixation. This study will investigate the sources and composition of DON and iron, and their influence on the coastal ecosystem. The team will sample offshore groundwater wells, river and estuarine waters, and conduct two expeditions across the West Florida Shelf in winter and summer.\n\ncdm_data_type = Other\nVARIABLES:\nEVTNBR (unitless)\ntime (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\nDATE_UTC (unitless)\nTIME_UTC (unitless)\nDATE_GMT (unitless)\nTIME_GMT (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\nPLATFORM (unitless)\nCASTNBR (unitless)\nSTNNBR (unitless)\nBTLNBR (unitless)\ndepth (m)\nPO4 (micromoles per liter (uM))\n... (20 more variables)\n BCO-DMO bcodmo_dataset_929305_v1
log in [STING macronutrient concentrations] - Dissolved Macronutrient Concentrations from Depth Profiles and Incubation Experiments from STING I Cruise AE2305 on R/V Atlantic Explorer in the Gulf of Mexico from February to March 2023 (Collaborative Research: Linking iron and nitrogen sources in an oligotrophic coastal margin: Nitrogen fixation and the role of boundary fluxes) Concentrations of inorganic dissolved macronutrients, including phosphate, nitrate plus nitrite (N+N), silicic acid, and nitrite, from phytoplankton shipboard incubation experiments and depth profiles collected on STING I cruise AE2305 on R/V Atlantic Explorer in the Gulf of Mexico from February to March 2023.\n\nThis project investigates how groundwater discharge delivers important nutrients to the coastal ecosystems of the West Florida Shelf. Preliminary studies indicate that groundwater may supply both dissolved organic nitrogen (DON) and iron in this region. In coastal ecosystems like the West Florida Shelf that have very low nitrate and ammonium concentrations, DON is the main form of nitrogen available to organisms. Nitrogen cycling is strongly affected by iron availability because iron is essential for both photosynthesis and for nitrogen fixation. This study will investigate the sources and composition of DON and iron, and their influence on the coastal ecosystem. The team will sample offshore groundwater wells, river and estuarine waters, and conduct two expeditions across the West Florida Shelf in winter and summer.\n\ncdm_data_type = Other\nVARIABLES:\nEVTNBR (unitless)\ntime (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\nDATE_UTC (unitless)\nTIME_UTC (unitless)\nDATE_GMT (unitless)\nTIME_GMT (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\nPLATFORM (unitless)\nCASTNBR (unitless)\nSTNNBR (unitless)\nBTLNBR (unitless)\ndepth (m)\nPO4 (micromoles per liter (uM))\n... (20 more variables)\n BCO-DMO bcodmo_dataset_929305_v2
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_926959_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_926959_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_926959_v1/ public [Suspended particle total mercury and monomethylmercury in the California Current Ecosystem (CCE)] - Suspended particle total mercury and monomethylmercury in the California Current Ecosystem (CCE) determined from samples collected on R/V Roger Revelle cruise RR2105 (P2107) in July to August 2021 (California Current Ecosystem Long Term Ecological Research site) This dataset includes concentrations of suspended particulate total mercury and monomethylmercury from 8 upwelling stations and 5 offshore stations (13 stations in total, 2-4 depths per station), during the 2021 CCE LTER Process Cruise (P2107), from July 17th to Aug 9th. Suspended particle samples (1 and 51 micrometers (µm)) were collected with a multiple-unit large-volume in situ filtration system. Sampling depths were from the surface (10 meters) to the deep ocean as deep as 1000 meters.\n\ncdm_data_type = Other\nVARIABLES:\nCruise_ID (unitless)\nCruise_Name (unitless)\nStation_Name (unitless)\nISO_DateTime_PDT (unitless)\ntime (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\nLatitude (degrees_north)\nlongitude (degrees_east)\nCast_Number (unitless)\ndepth (Depth_m, m)\ntHg_CONC_SSF_fM (femtomolar (fM))\ntHg_CONC_SSF_FLAG (unitless)\ntHg_CONC_LSF_fM (femtomolar (fM))\ntHg_CONC_LSF_FLAG (unitless)\nMMHg_CONC_SSF_fM (femtomolar (fM))\nMMHg_CONC_SSF_FLAG (unitless)\nMMHg_CONC_LSF_fM (femtomolar (fM))\nMMHg_CONC_LSF_FLAG (unitless)\nCarbon_CONC_SSF_ug_L (microgram per liter (ug/L))\nCarbon_CONC_SSF_FLAG (unitless)\nCarbon_CONC_LSF (microgram per liter (ug/L))\nCarbon_CONC_LSF_FLAG (unitless)\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_926959_v1/index.htmlTable https://www.bco-dmo.org/dataset/926959 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_926959_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_926959_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_926959_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_918841_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_918841_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_918841_v1/ public [T. pseudonana starve-recover experiments: Physiological data] - Diatom (Thalassiosira pseudonana) physiological data from experiments designed to study single-cell transcriptional profiling of nutrient acquisition heterogeneity in diatoms conducted in December of 2022 (EAGER: Diatom Programmed Cell Death at Single-Cell Resolution) This dataset includes physiological data for diatom Thalassiosira pseudonana grown during experiments conducted as part of a study of \"Single-Cell transcriptional profiling of nutrient acquisition heterogeneity in diatoms.\"  See \"Related Datasets\" section for T. pseudonana gene and cell information collected as part of the same study and experiments.\n\n\nStudy description: \n\nDiatoms (Bacillariophyceae) are unicellular photosynthetic algae, accounting for about 40% of total marine primary production (equivalent to terrestrial rainforests) and critical ecological players in the contemporary ocean. Diatoms can form enormous blooms in the ocean that can be seen from space and are the base of food webs in coastal and upwelling systems, support essential fisheries, and are central to the biogeochemical cycling of important nutrients such as carbon and silicon. Over geological time, diatoms have influenced the world's climate by changing the carbon flux into the oceans. \n\nDiatoms have traditionally been studied on a population level. Growth is often measured by the total increase in biomass, and gene expression is analyzed by isolating mRNA from thousands or millions of cells. These methods generate a valuable analysis on the population's average functioning; however, they fail to show how each individual diatom cell contributes to the population phenotype. Bulk transcriptomes confound different stages and variability of cell states in heterogeneous populations. By contrast, single-cell transcriptomics measures gene expression in thousands of individual diatoms providing a quantitative and ultrahigh-resolution picture of transient cell states in population fractions enabling the reconstruction of the various phenotypic trajectories. Thus, the single-cell physiological and molecular parameters analysis allows an unsupervised assessment of cell heterogeneity within a population—a new dimension in diatoms and phytoplankton in general. \n\nIn this dataset, we examine the model diatom Thalassiosira pseudonana clonal cells grown in different nitrogen conditions, at the single cell level when grown in a light: dark cycle (12:12 h). Nitrogen is the major limiting nutrient for primary production and growth in the ocean's surface, specifically for diatoms and the food webs they support. We investigate nutrient limitation, starvation and recovery. We used droplet-based, single-cell transcriptomics to analyze ten samples in two stages.  In the first stage (\"starvation\"), six samples were collected over four days of culture as nutrient levels decreased.  In the second stage (\"recovery\"), four samples were collected over twelve hours after nutrients were replenished.\n\ncdm_data_type = Other\nVARIABLES:\nSpecies (unitless)\n... (29 more variables)\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_918841_v1/index.htmlTable https://www.bco-dmo.org/dataset/918841 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_918841_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_918841_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_918841_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_924671_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_924671_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_924671_v1/ public [Temperature Data From Tomales Bay and Bodega Harbor] - Temperature data recorded using HOBO Pendant MX2201 loggers deployed at 14 sites in Tomales Bay and Bodega Harbor during August 2019 (Using genomics to link traits to ecosystem function in the eelgrass Zostera marina) To record water temperature, we deployed HOBO Pendant MX2201 loggers (fastened to PVC pipe) in the area from the 14 sites in Tomales and Bodega Harbors from which we collected genetic samples. The pipe was driven into the sediment until the logger was approximately <15 centimeters (cm) above the sediment surface, positioned to rarely be emersed except during low spring tides. We recorded water temperature at 15-minute intervals during a two-week period at all sites from 16 August to 29 August in 2019.\n\ncdm_data_type = Other\nVARIABLES:\nsite (unitless)\nLatitude (degrees_north)\nlongitude (degrees_east)\nISO_DateTime_PDT (unitless)\ntime (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\ntemp (degrees Celsius)\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_924671_v1/index.htmlTable https://www.bco-dmo.org/dataset/924671 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_924671_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_924671_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_924671_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_765327.subset https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_765327 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_765327.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_765327/ public [TORCH-II] - Coastal water biogeochemistry collected aboard the R/V Endeavor along the North Atlantic coast from 2017-08-20 to 2017-08-28 (Collaborative Research: Defining the Role of Biologically Produced Reactive Oxygen Species in Dark Mercury Cycling) Samples were collected from four water column sites along the Northeast Coast of the United States in August 2017 aboard the R/V Endeavor. Samples were collected using a 12-bottle trace metal clean CTD (Conductivity, Temperature and Depth) rosette, and were kept clean by using acid washed tubing to collect water directly into acid-washed 1 L PTFE bottles. Sample depths were chosen based on the water column profile obtained from a separate 24-bottle CTD rosette system equipped with Seabird software, which also provided the temperature, dissolved oxygen, salinity, PAR, beam transmission and fluorescence profiles reported here.\n\ncdm_data_type = Other\nVARIABLES:\nsheet (unitless)\nStation (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\nYear (unitless)\nMonth (unitless)\nDay (unitless)\ntime2 (Time, unitless)\ntime (ISO Datetime UTC, seconds since 1970-01-01T00:00:00Z)\ndepth (m)\nTemp (Temperature, degrees Celsius (C))\nFlorescence (miligrams per meter cubed (mg/m3))\nChlorophyll (Concentration Of Chlorophyll In Sea Water, micrograms per liter (ug/L))\nChloro_sd (micrograms per liter (ug/L))\nPAR (Downwelling Photosynthetic Photon Radiance In Sea Water, microeinteins per meter squared second (microE/m2s))\nBeam_Transmission (percent)\nSalinity (Sea Water Practical Salinity, PSU)\nO2 (mililiters per liter (mL/L))\nNO2 (Mole Concentration Of Nitrite In Sea Water, micromole (uM))\nNH4 (Mole Concentration Of Ammonium In Sea Water, micromole (uM))\nNO3 (Mole Concentration Of Nitrate In Sea Water, micromole (uM))\n... (29 more variables)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_765327_fgdc.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_765327/index.htmlTable https://www.bco-dmo.org/dataset/765327 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_765327.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_765327&showErrors=false&email= BCO-DMO bcodmo_dataset_765327
log in [Total Mercury Time Series at Scripps Pier] - Total Mercury Concentrations Collected from Scripps Pier in La Jolla, CA from December 2020 to December 2024 (Collaborative Proposal: Unravelling the Oceanic Dimethylmercury Cycle) weekly collected samples of Total Mercury from Scripps Pier in La Jolla, CA from December 2020 to December 2024 to capture variability over multiple years. Samples were collected using a peristaltic pump equipped with weighted sample tubing into pre-cleaned glass bottles. Samples were analyzed via a Tekran 2600 Automatic Mercury Sampler.\n\ncdm_data_type = Other\nVARIABLES:\nlatitude (degrees_north)\nlongitude (degrees_east)\nDate (unitless)\nTime_UTC (unitless)\ntime (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\nSurface_THg_Concentration (picomolar (pM))\nDeep_THg_Concentration (picomolar (pM))\ndepth (Deep_sample_depth, m)\n BCO-DMO bcodmo_dataset_950021_v1
log in [Trace metal and organic iron ligand data] - Trace metal and organic iron ligand data collected during the PLUME RAIDERS cruise (RR2106) on the R/V Roger Revelle from 18 September – 6 November 2021 along the 16-18ºS section of the Southern East Pacific Rise. (Collaborative Research: Are Low-Temperature Hydrothermal Vents an Important but Overlooked Source of Stabilized Dissolved Iron to the Ocean?) This dataset includes the concentrations of total dissolvable iron and manganese, dissolved iron and manganese, and dissolved organic iron-binding ligands collected on the PLUME RAIDERS expedition. Samples were collected during the PLUME RAIDERS cruise (RR2106) on the R/V Roger Revelle from 18 September – 6 November 2021. The main study area was located along the 16-18ºS section of the Southern East Pacific Rise, and the sampling was focused near the ride crest at depths below 1,500 m. Both the total dissolvable and dissolved  iron and manganese concentrations were determined shipboard using flow injection analysis. The total organic iron-binding ligand data was  generated both shipboard and in the lab using competitive ligand exchange adsorptive cathodic stripping voltammetry. The siderophore concentrations were measured following a solid phase extraction step, and then eluents were measured using inductively coupled plasma mass spectrometry. The dissolvable and dissolved metal data was generated by Dr. Joe Resing and Nathan Buck at NOAA-PMEL and the ligand and siderophore data was generated by Dr. Laura Moore and Dr. Randelle Bundy at the University of Washington.\n\ncdm_data_type = Other\nVARIABLES:\nGT_number (unitless)\nCruise (unitless)\nStation (unitless)\nCast_number (unitless)\nRosette (unitless)\nSite_Name (unitless)\nStation_ID (unitless)\nBottle_Position (unitless)\nNisken_number (unitless)\nDate (unitless)\nTime_GMT (unitless)\ntime (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\nPressure_dbar (dbars)\ndepth (Depth_m, m)\nTemp_degC (degrees celsius)\n... (20 more variables)\n BCO-DMO bcodmo_dataset_944890_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_945964_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_945964_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_945964_v1/ public [Transparent Exopolymer Particles (TEP) CTD Bottle Measurements HRS2204] - Transparent Exopolymer Particles (TEP) from CTD samples collected during R/V Hugh R. Sharp cruise HRS2204 from Apr to May 2022 (Collaborative Research: The importance of particle disaggregation on biogeochemical flux predictions) These data include measurements of transparent exopolymer particles (TEP) from CTD bottle water samples collected during a cruise on the Northeast Continental Shelf to study particle disaggregation. One cruise was completed aboard the R/V Hugh R. Sharp from 2022-04-21 through 2022-05-02 (HRS22-04), which visited a variety of stations and hydrodynamic environments associated with the Northeast Continental Shelf of the United States. Stations ranged from Georges Bank and the Great South Channel near the Gulf of Maine, Martha's Vineyard, the mouth of the Sakonnet River near Newport, Rhode Island, and Hudson Canyon near New York. TEP measurements were performed following recently published methods relying on Alcian Blue staining protocols and spectrophotometry. These data were collected as part of a study to clarify the importance of hydrodynamic forces on the cohesion, aggregation, and breakup of marine particles. These data were collected by Dr. Kieran Curran of the University of New Hampshire on the cruise led by Dr. Matthew Rau (chief-sci) of the George Washington University.\n\ncdm_data_type = Other\nVARIABLES:\nID (unitless)\nStation (unitless)\nCTD (unitless)\ndepth (m)\ntime (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\nlatitude (degrees_north)\nlongitude (degrees_east)\nTEP_xg (micrograms per liter (ug/L))\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_945964_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_945964_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_945964_v1/index.htmlTable https://www.bco-dmo.org/dataset/945964 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_945964_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_945964_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_945964_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_945981_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_945981_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_945981_v1/ public [Turbulence microstructure profiles] - Turbulence microstructure profiles collected during R/V Hugh R. Sharp cruise HRS2204 from Apr to May 2022 (Collaborative Research: The importance of particle disaggregation on biogeochemical flux predictions) These data include profiles of turbulence dissipation rate obtained from a Rockland Scientific VMP-250 deployed during a cruise on the Northeast Continental Shelf to study particle disaggregation. One cruise was completed aboard the R/V Hugh R. Sharp from 2022-04-21 through 2022-05-02 (HRS22-04), which visited a variety of stations and hydrodynamic environments associated with the Northeast Continental Shelf of the United States. Cruise stations where dissipation rate profiles were obtained ranged from Georges Bank and the Great South Channel near the Gulf of Maine, and Hudson Canyon near New York. These data were collected as part of a study to clarify the importance of hydrodynamic forces on the cohesion, aggregation, and breakup of marine particles. These data were collected by Dr. Matthew Rau (chief-sci) of the George Washington University.\n\ncdm_data_type = Other\nVARIABLES:\nDeployment_ID (unitless)\nStation (unitless)\nStation_Deployment (unitless)\nStation_Deployment_Profile (unitless)\nCruise_Deployment (unitless)\ntime (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\nlatitude (degrees_north)\nlongitude (degrees_east)\nt_rel (seconds)\np (dbar)\nT (degrees Celsius)\ne (watts per kilogram (W/kg))\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_945981_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_945981_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_945981_v1/index.htmlTable https://www.bco-dmo.org/dataset/945981 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_945981_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_945981_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_945981_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_918590_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_918590_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_918590_v1/ public [Underway Data] - Underway 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) This dataset contains underway data from four organic alkalinity estuary transects, in May and October of 2018 and 2019, completed in the Pleasant (Maine, USA) and St. John (New Brunswick, Canada) estuaries. See \"Related Datasets\" section for alkalinity data.  Discrete samples were collected at intervals of salinity along each estuary.  An underway measurements system was also operated during each transect.  Discrete samples were analyzed via a number of methods described below.  Underway measurements were collected using the procedures described in Hunt et al. (2013).\n\nOrganic 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.\n\ncdm_data_type = Other\nVARIABLES:\nyear (unitless)\nmonth (unitless)\nday (unitless)\nhour (unitless)\nminute (unitless)\nsecond (unitless)\ntime (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\nJulian_Day (unitless)\nsecDay (sssss)\nlat (degrees_north)\nlongitude (degrees_east)\nheading (degrees)\nspeed (meters per second (m/s))\nWt (degreesC)\ncond (millimho per centimeter (mmho/cm))\n... (13 more variables)\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_918590_v1/index.htmlTable https://www.bco-dmo.org/dataset/918590 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_918590_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_918590_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_918590_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_936224_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_936224_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_936224_v1/ public [Virus production at a hydrothermal vent site] - Virus and prokaryote abundances from experiments conducted with samples collected at a hydrothermal vent site by ROV SuBastian during R/V Falkor (too) expedition FKt230627 along the East Pacific Rise in July of 2023 (The Underworld of Hydrothermal Vents) We used the virus-dilution technique to quantify lytic virus production at nine sites across vent, sub-vent, and non-vent habitats along the East Pacific Rise during expedition FKt230627 aboard R/V Falkor(too). This technique leverages the density-dependent nature of viral infection, preventing new infections by dilution. Samples were collected via ROV SuBastian, sequentially filtered to remove larger particles, and concentrated using tangential-flow filtration. Duplicate incubations were set up with prokaryotic concentrate and virus-free water, pressurized to 250 bar, and incubated in the dark at in situ temperatures for 30 hours. Subsamples were taken every six hours for enumeration of prokaryotes and viruses via flow cytometry. Parallel experiments were conducted at surface pressure to assess the impact of pressure on virus production rates. The methodology ensures observed increases in viral abundance are due to pre-existing infections. The experiments were conducted aboard R/V Falkor(too) between 5-22 July 2023 by Tinkara Tinta and Nicole Krause. Prokaryotes and viruses were enumerated flow-cytometrically back in the lab by Christian Winter.\n\ncdm_data_type = Other\nVARIABLES:\ndive (unitlesss)\nsample_id (unitlesss)\nsubsample_id (unitlesss)\nhabitat (unitlesss)\nlatitude (degrees_north)\nlongitude (degrees_east)\ndepth (m)\ntemperature (degrees Celsius (degC))\nincubated_at_250bar (unitless)\ndate_local (unitless)\ntime_local (unitless)\ntime (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\nprokaryotes (Nx10^4 mL^-1)\nviruses (Nx10^4 mL^-1)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_936224_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_936224_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_936224_v1/index.htmlTable https://www.bco-dmo.org/dataset/936224 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_936224_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_936224_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_936224_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_926498_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_926498_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_926498_v1/ public [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?) 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.\n\ncdm_data_type = Other\nVARIABLES:\nISO_DateTime_Local (unitless)\ntime (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\nSite (unitless)\nLatitude (degrees_north)\nlongitude (degrees_east)\nTemperature (degrees Celsius)\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_926498_v1/index.htmlTable https://www.bco-dmo.org/dataset/926498 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_926498_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_926498_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_926498_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_894148_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_894148_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_894148_v1/ public [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) 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.\n\ncdm_data_type = Other\nVARIABLES:\nDay_of_Week (unitless)\nISO_DateTime_Local (unitless)\ntime (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\nAquarium (unitless)\nTreatment (unitless)\nTemperature (degrees Celsius)\nPosition_of_Whelk (unitless)\nWhelkPosition (unitless)\nDeadControl (unitless)\nDeadPrey (unitless)\nPreyEaten (unitless)\nNote (unitless)\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_894148_v1/index.htmlTable https://www.bco-dmo.org/dataset/894148 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_894148_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_894148_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_894148_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_949394_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_949394_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_949394_v1/ public [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) 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.\n\ncdm_data_type = Other\nVARIABLES:\nStation (unitless)\nDeployment (unitless)\nAlt_Station (unitless)\nLake (unitless)\nDate (unitless)\nTime_EST (unitless)\ntime (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\nlatitude (degrees_north)\nlongitude (Long, degrees_east)\nWater_Depth (meters (m))\nIce_Cover (percent (%))\nSnow_Cover (percent (%))\nIce_Type (unitless)\nIce_Thickness (inches (in))\nAir_Temp (Degrees Celsius)\nWater_Temp (Degrees Celsius)\nDO (microgram per liter (µg L-1))\nDO_percent (percent (%))\nCond (microsiemens per centimeter (uS/cm))\npH (unitless (pH scale))\nSechhi (meters (m))\nBaro_Press (Hg)\n... (16 more variables)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_949394_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_949394_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_949394_v1/index.htmlTable https://www.bco-dmo.org/dataset/949394 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_949394_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_949394_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_949394_v1
log in [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) 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.\n\ncdm_data_type = Other\nVARIABLES:\ntime (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\nLocal_DateTime (unitless)\nTemperature (degrees Celsius)\nFile_Name (unitless)\nSiteNumber (unitless)\nSiteName (unitless)\nHabType (unitless)\nType (unitless)\nModel (unitless)\nSerialNumber (unitless)\nLoggerStartDate (unitless)\nDeploymentDate (unitless)\nDeploymentTime (unitless)\nDeploymentDateTime (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\nDeployedBy (unitless)\nRetrievalDate (unitless)\nAnchorType (unitless)\nTimeVar (seconds)\nNotes (unitless)\n BCO-DMO bcodmo_dataset_949897_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_937020_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_937020_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_937020_v1/ public [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) 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.\n\nEpoxy 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.\n\ncdm_data_type = Other\nVARIABLES:\nCruise (unitless)\nFile_name (unitless)\nSample_name (unitless)\nsample_descrip (Time, unitless)\nHydrotherml_vent_category (unitless)\nLocation (unitless)\nlatitude (Lat_dd, degrees_north)\nlongitude (Lon_dd, degrees_east)\ndepth_f (Depth_mbs, m)\nHdg (degrees)\nDate_collected (unitless)\nTime_collected (unitless)\ntime (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_937020_v1_fgdc.xml https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_937020_v1_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_937020_v1/index.htmlTable https://www.bco-dmo.org/dataset/937020 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_937020_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_937020_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_937020_v1
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_915900_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_915900_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_915900_v1/ public [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) 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.\n\ncdm_data_type = Other\nVARIABLES:\nCruise (unitless)\ntime (Iso_datetime_utc, seconds since 1970-01-01T00:00:00Z)\nISO_DateTime_PDT (unitless)\nLine (unitless)\nSt (unitless)\nLat (degrees_north)\nlongitude (Long, degrees_east)\nTow_depth (meters (m))\nMesh_size (micrometers (um))\nTaxa (unitless)\nDevelopment_stage (unitless)\nind_per_cubic_m (individuals per cubic meter)\nAvg_length (micrometers (um))\nSD_length (micrometers (um))\nAvg_width (micrometers (um))\nSD_width (micrometers (um))\nNum_Measured (unitless)\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_915900_v1/index.htmlTable https://www.bco-dmo.org/dataset/915900 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_915900_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_915900_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_915900_v1

 
ERDDAP, Version 2.22
Disclaimers | Privacy Policy | Contact