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https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_753431 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_753431.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_753431/ public Flow cytometry measurements from HHQ experiments conducted during the MesoHux mesocosm experiment, May 2017, Bergen, Norway This dataset includes flow cytometry measurements from HHQ experiments conducted during the MesoHux mesocosm experiment, May 2017, Bergen, Norway. Microbial mesocosms were spiked with 2-heptyl-4-quinolone (HHQ).\n\ncdm_data_type = Other\nVARIABLES:\nDate (unitless)\nSample (unitless)\nExperiment_num (unitless)\ntime2 (Time, hours)\nReplication (unitless)\nBacteria (cells/milliliter)\nSynechococcus (cells/milliliter)\nPicoeukaryotes (cells/milliliter)\nNanoeukaryotes (cells/milliliter)\nTotal_Phytoplankton_lt_15um (cells/milliliter)\n https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_753431_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_753431/index.htmlTable https://www.bco-dmo.org/dataset/753431 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_753431.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_753431&showErrors=false&email= BCO-DMO bcodmo_dataset_753431
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_767022 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_767022.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_767022/ public Phosphohydrolysis rates from samples collected in the coastal western North Atlantic on R/V Endeavor cruise EN588 during September 2016 Phosphohydrolysis rates from samples collected in the coastal western North Atlantic on R/V Endeavor cruise EN588 during September 2016.\n\ncdm_data_type = Other\nVARIABLES:\nStation (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\ndepth (m)\nTemperature (degrees Celsius)\nSalinity (Sea Water Practical Salinity, PSU?)\nInorganic_poly_P_hydrolysis (nanomoles P per liter per hour (nmol P/L/hr))\nMUF_P_hydrolysis (nmol P/L/hr)\nSoluble_reactive_P (nanomoles per liter (nmol/L))\nChlorophyll (Concentration Of Chlorophyll In Sea Water, micrograms per liter (ug/L))\nBacterial_abundance (10^5 cells per milliiter (10^5 cells/mL))\nTotal_phytoplankton (10^4 cells/mL)\nSynechococcus_spp (10^4 cells/mL)\nPicoeukaryotic_phytoplankton (10^3 cells/mL)\nNanoeukaryotic_phytoplankton (10^3 cells/mL)\nLarge_eukaryotic_phytoplankton (10^2 cells/mL)\nBacterial_abundance_to_Total_phytoplankton (unitless)\n https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_767022_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_767022/index.htmlTable https://www.bco-dmo.org/dataset/767022 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_767022.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_767022&showErrors=false&email= BCO-DMO bcodmo_dataset_767022
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_779033 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_779033.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_779033/ public Photosynthetic efficiency data from light stress in phytoplankton and dinoflagellate grazing response experiments from July of 2015 to September of 2018 Fv/Fm (photosynthetic efficiency) data from light stress in phytoplankton and dinoflagellate grazing response experiments from July of 2015 to September of 2018. These data were published in Strom et al. (2020).\n\ncdm_data_type = Other\nVARIABLES:\nExperiment_ID (unitless)\nExperiment_Date (unitless)\nPhytoplankton_Species (unitless)\nBottle_Type (unitless)\nNum_Screens (unitless)\nTotal_PAR (mol photons m-2)\nTime_interval (unitless)\nSampling_Time (count)\nReplicate_Number (unitless)\nFvFm (FV FM, dimensionless)\n https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_779033_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_779033/index.htmlTable https://www.bco-dmo.org/dataset/779033 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_779033.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_779033&showErrors=false&email= BCO-DMO bcodmo_dataset_779033
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_779050 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_779050.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_779050/ public Prey and predator exposure results from light stress in phytoplankton and dinoflagellate grazing response experiments from August to September of 2018 Matrix data from light stress in phytoplankton and dinoflagellate grazing response experiments from August of 2016 to September of 2018.  Both predators and prey were exposed to experimental irradiances and then tested in an array of combinations. These data were published in Strom et al. (2020).\n\ncdm_data_type = Other\nVARIABLES:\nExperiment_ID (unitless)\nExperiment_Date (unitless)\nPhytoplankton_Species (unitless)\nMicrograzer_Species (unitless)\nPhytoplankton_Bottle_Type (unitless)\nNum_Phytoplankton_Screens (unitless)\nPhytoplankton_PAR_dose (mol photons m-2)\nMicrograzer_Bottle_Type (unitless)\nNum_Micrograzer_Screens (unitless)\nMicrograzer_PAR_Dose (mol photons m-2)\nCombined_PAR_dose (mol photons m-2)\nReplicate_Number (unitless)\nFraction_Feeding (dimensionless)\n https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_779050_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_779050/index.htmlTable https://www.bco-dmo.org/dataset/779050 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_779050.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_779050&showErrors=false&email= BCO-DMO bcodmo_dataset_779050
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_779043.subset https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_779043 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_779043.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_779043/ public Prey-only exposure results from light stress in phytoplankton and dinoflagellate grazing response experiments from July of 2015 to July of 2017 Prey-only exposure results (single-factor) results from light stress in phytoplankton and dinoflagellate grazing response experiments from July of 2015 to July of 2017. These data were published in Strom et al. (2020).\n\ncdm_data_type = Other\nVARIABLES:\nExperiment_ID (unitless)\nExperiment_Date (unitless)\nPhytoplankton_Species (unitless)\nMicrograzer_Species (unitless)\nBottle_Type (unitless)\nNum_Screens (unitless)\nPhytoplankton_PAR_Dose (mol photons m-2)\nReplicate_Number (unitless)\nFraction_Feeding (dimensionless)\n https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_779043_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_779043/index.htmlTable https://www.bco-dmo.org/dataset/779043 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_779043.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_779043&showErrors=false&email= BCO-DMO bcodmo_dataset_779043
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_793847 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_793847.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_793847/ public Prochlorococcus, Synechococcus, and picoeukaryotic phytoplankton for four future climatic scenarios and five Earth System Models (cell/ml) in a global 1x1 grid for the ocean surface (50m) Prochlorococcus, Synechococcus, and picoeukaryotic phytoplankton for four\nfuture climatic scenarios and five Earth System Models (cell/ml) in a global\n1\\u00bax1\\u00ba-grid for the ocean surface (50m).\n\ncdm_data_type = Other\nVARIABLES:\nlatitude (degrees_north)\nlongitude (degrees_east)\nProchlorococccus_for_HISTORIC_scenario_GFDLESM2G_Model (Prochlorococccus For HISTORIC Scenario GFDLESM2 G Model, cells per milliliter (cells/mL))\nProchlorococccus_for_HISTORIC_scenario_HadGEM2ES_Model (Prochlorococccus For HISTORIC Scenario Had GEM2 ES Model, cells/mL)\nProchlorococccus_for_HISTORIC_scenario_IPSLCM5AMR_Model (Prochlorococccus For HISTORIC Scenario IPSLCM5 AMR Model, cells/mL)\nProchlorococccus_for_HISTORIC_scenario_MPIESMLR_Model (cells/mL)\nProchlorococccus_for_HISTORIC_scenario_NorESM1ME_Model (Prochlorococccus For HISTORIC Scenario Nor ESM1 ME Model, cells/mL)\nProchlorococccus_for_RCP2_6_scenario_GFDLESM2G_Model (Prochlorococccus For RCP2 6 Scenario GFDLESM2 G Model, cells/mL)\nProchlorococccus_for_RCP2_6_scenario_HadGEM2ES_Model (Prochlorococccus For RCP2 6 Scenario Had GEM2 ES Model, cells/mL)\nProchlorococccus_for_RCP2_6_scenario_IPSLCM5AMR_Model (Prochlorococccus For RCP2 6 Scenario IPSLCM5 AMR Model, cells/mL)\nProchlorococccus_for_RCP2_6_scenario_MPIESMLR_Model (cells/mL)\nProchlorococccus_for_RCP2_6_scenario_NorESM1ME_Model (Prochlorococccus For RCP2 6 Scenario Nor ESM1 ME Model, cells/mL)\nProchlorococccus_for_RCP4_5_scenario_GFDLESM2G_Model (Prochlorococccus For RCP4 5 Scenario GFDLESM2 G Model, cells/mL)\nProchlorococccus_for_RCP4_5_scenario_HadGEM2ES_Model (Prochlorococccus For RCP4 5 Scenario Had GEM2 ES Model, cells/mL)\nProchlorococccus_for_RCP4_5_scenario_IPSLCM5AMR_Model (Prochlorococccus For RCP4 5 Scenario IPSLCM5 AMR Model, cells/mL)\nProchlorococccus_for_RCP4_5_scenario_MPIESMLR_Model (cells/mL)\nProchlorococccus_for_RCP4_5_scenario_NorESM1ME_Model (Prochlorococccus For RCP4 5 Scenario Nor ESM1 ME Model, cells/mL)\nProchlorococccus_for_RCP8_5_scenario_GFDLESM2G_Model (Prochlorococccus For RCP8 5 Scenario GFDLESM2 G Model, cells/mL)\nProchlorococccus_for_RCP8_5_scenario_HadGEM2ES_Model (Prochlorococccus For RCP8 5 Scenario Had GEM2 ES Model, cells/mL)\nProchlorococccus_for_RCP8_5_scenario_IPSLCM5AMR_Model (Prochlorococccus For RCP8 5 Scenario IPSLCM5 AMR Model, cells/mL)\nProchlorococccus_for_RCP8_5_scenario_MPIESMLR_Model (cells/mL)\nProchlorococccus_for_RCP8_5_scenario_NorESM1ME_Model (Prochlorococccus For RCP8 5 Scenario Nor ESM1 ME Model, cells/mL)\nSynechococcus_for_HISTORIC_scenario_GFDLESM2G_Model (Synechococcus For HISTORIC Scenario GFDLESM2 G Model, cells/mL)\nSynechococcus_for_HISTORIC_scenario_HadGEM2ES_Model (Synechococcus For HISTORIC Scenario Had GEM2 ES Model, cells/mL)\nSynechococcus_for_HISTORIC_scenario_IPSLCM5AMR_Model (Synechococcus For HISTORIC Scenario IPSLCM5 AMR Model, cells/mL)\n... (37 more variables)\n https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_793847_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_793847/index.htmlTable https://www.bco-dmo.org/dataset/793847 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_793847.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_793847&showErrors=false&email= BCO-DMO bcodmo_dataset_793847
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_793690 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_793690.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_793690/ public Prochlorococcus, Synechococcus, and picoeukaryotic phytoplankton yearly mean global abundance for four CMIP5 climate scenarios using an ensemble of five circulation models Prochlorococcus, Synechococcus, and picoeukaryotic phytoplankton yearly mean\nglobal abundance for four CMIP5 climate scenarios using an ensemble of five\ncirculation models from 1900 to 2100.\n\ncdm_data_type = Other\nVARIABLES:\nYears_for_Historic_scenario (unitless)\nYears_for_scenarios_RCP2_6_RCP4_5_RCP8_5 (unitless)\nProchlorococccus_for_HISTORIC_scenario_GFDLESM2G_Model (Prochlorococccus For HISTORIC Scenario GFDLESM2 G Model, number of cells)\nProchlorococccus_for_HISTORIC_scenario_HadGEM2ES_Model (Prochlorococccus For HISTORIC Scenario Had GEM2 ES Model, number of cells)\nProchlorococccus_for_HISTORIC_scenario_IPSLCM5AMR_Model (Prochlorococccus For HISTORIC Scenario IPSLCM5 AMR Model, number of cells)\nProchlorococccus_for_HISTORIC_scenario_MPIESMLR_Model (number of cells)\nProchlorococccus_for_HISTORIC_scenario_NorESM1ME_Model (Prochlorococccus For HISTORIC Scenario Nor ESM1 ME Model, number of cells)\nProchlorococccus_for_RCP2_6_scenario_GFDLESM2G_Model (Prochlorococccus For RCP2 6 Scenario GFDLESM2 G Model, number of cells)\nProchlorococccus_for_RCP2_6_scenario_HadGEM2ES_Model (Prochlorococccus For RCP2 6 Scenario Had GEM2 ES Model, number of cells)\nProchlorococccus_for_RCP2_6_scenario_IPSLCM5AMR_Model (Prochlorococccus For RCP2 6 Scenario IPSLCM5 AMR Model, number of cells)\nProchlorococccus_for_RCP2_6_scenario_MPIESMLR_Model (number of cells)\nProchlorococccus_for_RCP2_6_scenario_NorESM1ME_Model (Prochlorococccus For RCP2 6 Scenario Nor ESM1 ME Model, number of cells)\nProchlorococccus_for_RCP4_5_scenario_GFDLESM2G_Model (Prochlorococccus For RCP4 5 Scenario GFDLESM2 G Model, number of cells)\nProchlorococccus_for_RCP4_5_scenario_HadGEM2ES_Model (Prochlorococccus For RCP4 5 Scenario Had GEM2 ES Model, number of cells)\nProchlorococccus_for_RCP4_5_scenario_IPSLCM5AMR_Model (Prochlorococccus For RCP4 5 Scenario IPSLCM5 AMR Model, number of cells)\nProchlorococccus_for_RCP4_5_scenario_MPIESMLR_Model (number of cells)\nProchlorococccus_for_RCP4_5_scenario_NorESM1ME_Model (Prochlorococccus For RCP4 5 Scenario Nor ESM1 ME Model, number of cells)\nProchlorococccus_for_RCP8_5_scenario_GFDLESM2G_Model (Prochlorococccus For RCP8 5 Scenario GFDLESM2 G Model, number of cells)\nProchlorococccus_for_RCP8_5_scenario_HadGEM2ES_Model (Prochlorococccus For RCP8 5 Scenario Had GEM2 ES Model, number of cells)\nProchlorococccus_for_RCP8_5_scenario_IPSLCM5AMR_Model (Prochlorococccus For RCP8 5 Scenario IPSLCM5 AMR Model, number of cells)\nProchlorococccus_for_RCP8_5_scenario_MPIESMLR_Model (number of cells)\nProchlorococccus_for_RCP8_5_scenario_NorESM1ME_Model (Prochlorococccus For RCP8 5 Scenario Nor ESM1 ME Model, number of cells)\nSynechococcus_for_HISTORIC_scenario_GFDLESM2G_Model (Synechococcus For HISTORIC Scenario GFDLESM2 G Model, number of cells)\nSynechococcus_for_HISTORIC_scenario_HadGEM2ES_Model (Synechococcus For HISTORIC Scenario Had GEM2 ES Model, number of cells)\nSynechococcus_for_HISTORIC_scenario_IPSLCM5AMR_Model (Synechococcus For HISTORIC Scenario IPSLCM5 AMR Model, number of cells)\n... (37 more variables)\n https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_793690_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_793690/index.htmlTable https://www.bco-dmo.org/dataset/793690 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_793690.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_793690&showErrors=false&email= BCO-DMO bcodmo_dataset_793690
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_793776 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_793776.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_793776/ public Prochlorococcus, Synechococcus, and picoeukaryotic phytoplankton yearly standard deviation from mean global abundance estimated for four CMIP5 climate scenarios using an ensemble of five circulation models Prochlorococcus, Synechococcus,\\u00a0and picoeukaryotic phytoplankton yearly\nstandard deviation from mean global abundance estimated for four CMIP5 climate\nscenarios using an ensemble of five circulation models from 1900 to 2100.\n\ncdm_data_type = Other\nVARIABLES:\nYears_for_Historic_scenario (unitless)\nYears_for_scenarios_RCP2_6_RCP4_5_RCP8_5 (unitless)\nProchlorococccus_for_HISTORIC_scenario_GFDLESM2G_Model (Prochlorococccus For HISTORIC Scenario GFDLESM2 G Model, number of cells)\nProchlorococccus_for_HISTORIC_scenario_HadGEM2ES_Model (Prochlorococccus For HISTORIC Scenario Had GEM2 ES Model, number of cells)\nProchlorococccus_for_HISTORIC_scenario_IPSLCM5AMR_Model (Prochlorococccus For HISTORIC Scenario IPSLCM5 AMR Model, number of cells)\nProchlorococccus_for_HISTORIC_scenario_MPIESMLR_Model (number of cells)\nProchlorococccus_for_HISTORIC_scenario_NorESM1ME_Model (Prochlorococccus For HISTORIC Scenario Nor ESM1 ME Model, number of cells)\nProchlorococccus_for_RCP2_6_scenario_GFDLESM2G_Model (Prochlorococccus For RCP2 6 Scenario GFDLESM2 G Model, number of cells)\nProchlorococccus_for_RCP2_6_scenario_HadGEM2ES_Model (Prochlorococccus For RCP2 6 Scenario Had GEM2 ES Model, number of cells)\nProchlorococccus_for_RCP2_6_scenario_IPSLCM5AMR_Model (Prochlorococccus For RCP2 6 Scenario IPSLCM5 AMR Model, number of cells)\nProchlorococccus_for_RCP2_6_scenario_MPIESMLR_Model (number of cells)\nProchlorococccus_for_RCP2_6_scenario_NorESM1ME_Model (Prochlorococccus For RCP2 6 Scenario Nor ESM1 ME Model, number of cells)\nProchlorococccus_for_RCP4_5_scenario_GFDLESM2G_Model (Prochlorococccus For RCP4 5 Scenario GFDLESM2 G Model, number of cells)\nProchlorococccus_for_RCP4_5_scenario_HadGEM2ES_Model (Prochlorococccus For RCP4 5 Scenario Had GEM2 ES Model, number of cells)\nProchlorococccus_for_RCP4_5_scenario_IPSLCM5AMR_Model (Prochlorococccus For RCP4 5 Scenario IPSLCM5 AMR Model, number of cells)\nProchlorococccus_for_RCP4_5_scenario_MPIESMLR_Model (number of cells)\nProchlorococccus_for_RCP4_5_scenario_NorESM1ME_Model (Prochlorococccus For RCP4 5 Scenario Nor ESM1 ME Model, number of cells)\nProchlorococccus_for_RCP8_5_scenario_GFDLESM2G_Model (Prochlorococccus For RCP8 5 Scenario GFDLESM2 G Model, number of cells)\nProchlorococccus_for_RCP8_5_scenario_HadGEM2ES_Model (Prochlorococccus For RCP8 5 Scenario Had GEM2 ES Model, number of cells)\nProchlorococccus_for_RCP8_5_scenario_IPSLCM5AMR_Model (Prochlorococccus For RCP8 5 Scenario IPSLCM5 AMR Model, number of cells)\nProchlorococccus_for_RCP8_5_scenario_MPIESMLR_Model (number of cells)\nProchlorococccus_for_RCP8_5_scenario_NorESM1ME_Model (Prochlorococccus For RCP8 5 Scenario Nor ESM1 ME Model, number of cells)\nSynechococcus_for_HISTORIC_scenario_GFDLESM2G_Model (Synechococcus For HISTORIC Scenario GFDLESM2 G Model, number of cells)\nSynechococcus_for_HISTORIC_scenario_HadGEM2ES_Model (Synechococcus For HISTORIC Scenario Had GEM2 ES Model, number of cells)\nSynechococcus_for_HISTORIC_scenario_IPSLCM5AMR_Model (Synechococcus For HISTORIC Scenario IPSLCM5 AMR Model, number of cells)\n... (37 more variables)\n https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_793776_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_793776/index.htmlTable https://www.bco-dmo.org/dataset/793776 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_793776.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_793776&showErrors=false&email= BCO-DMO bcodmo_dataset_793776
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_2331.subset https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_2331 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_2331.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_2331/ public Video Plankton Recorder data from R/V Columbus Iselin, R/V Endeavor cruises CI9407, EN259, and EN262 in the Gulf of Maine and Georges Bank from 1994-1995 (GB project) Video Plankton Recorder data from R/V Columbus Iselin, R/V Endeavor cruises CI9407, EN259, and EN262 in the Gulf of Maine and Georges Bank from 1994-1995\n\ncdm_data_type = Other\nVARIABLES:\ncruiseid\nyear\nbrief_desc (dimensionless)\nyrday0_gmt (YYY.Y)\nmonth_gmt\nday_gmt\ntime_gmt (HHmm.m)\nlatitude (degrees_north)\nlongitude (degrees_east)\npress (decibars)\ntemp (Temperature, degrees centigrade)\nsal (PSU)\nsigma_t (kilograms/meter^3)\nflvolt (volts)\nfluor (relative units)\ntrans_v (volts)\ndist_along_track (kilometers)\nHydroids (number/liter; close to presence or absence)\nOther (number/liter; close to presence or absence)\nCerianthid (number/liter; close to presence or absence)\nCalanus (number/liter; close to presence or absence)\nEarlyphaeoproto (number/liter; close to presence or absence)\nPhaeoproto (number/liter; close to presence or absence)\nMarinesnow (number/liter; close to presence or absence)\nPteropod (number/liter; close to presence or absence)\nChaetognath (number/liter; close to presence or absence)\n... (21 more variables)\n https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_2331_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_2331/index.htmlTable https://www.bco-dmo.org/dataset/2331 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_2331.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_2331&showErrors=false&email= BCO-DMO bcodmo_dataset_2331

 
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