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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_765477 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_765477.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_765477/ public [Attributes of communities-at-sea] - Attributes of communities-at-sea, including the size of servicesheds and climate change risk exposure scores, determined from Vessel Trip Report (VTR) data for commercial fishing trips from 1996 to 2014 (Adaptations of fish and fishing communities to rapid climate change) Communities-at-sea are peer-groups of vessels which share a gear type and are associated with a particular port (e.g., vessels from New Bedford, MA that use gillnets). For vessels using trawl gear, small and large trawlers are considered separate communities according to vessel length (<> 65 feet). We used Vessel Trip Report (VTR) data for commercial fishing trips from 1996 to 2014, as reported by vessel captains, to determine the at-sea \\servicesheds\\ or customary fishing grounds of communities.\n\ncdm_data_type = Other\nVARIABLES:\nCommunity (unitless)\nPort (unitless)\nState (unitless)\nGear (unitless)\nlongitude (Port Lon, degrees_east)\nlatitude (degrees_north)\nFleetsize (number of vessels)\nTrips (number of trips)\nYears (number of years)\nShedArea (Shed Area, square kilometers (sq km))\nRiskExposure (Risk Exposure, unitless)\n https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_765477_fgdc.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_765477/index.htmlTable https://www.bco-dmo.org/dataset/765477 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_765477.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_765477&showErrors=false&email= BCO-DMO bcodmo_dataset_765477
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_765560 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_765560.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_765560/ public [Catch revenue by community] - Total catches and estimated revenue by species for communities-at-sea based on landings reported on Vessel Trip Reports (Adaptations of fish and fishing communities to rapid climate change) Total catches and estimated revenue by species for communities-at-sea based on landings reported on Vessel Trip Reports (VTRs). Landings data were compiled from VTRs and summed over the available years of data for each community.\n\ncdm_data_type = Other\nVARIABLES:\ncommunity (unitless)\nyears (unitless)\nsppcode (unitless)\nsppname (unitless)\nspecies (unitless)\nlbs_caught (pounds (lbs))\ntotalCatch (Total Catch, pounds (lbs))\npCatch (P Catch, unitless)\nmeanPrice (Mean Price, US dollars per pound (USD/lb))\nrev (US dollars (USD))\ntotalRev (Total Rev, US dollars (USD))\npRev (P Rev, unitless)\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_765560/index.htmlTable https://www.bco-dmo.org/dataset/765560 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_765560.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_765560&showErrors=false&email= BCO-DMO bcodmo_dataset_765560
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_735097 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_735097.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_735097/ public [Growth and mortality] - Growth and mortality of corals on long-term monitoring sites in St. John, USVI. (LTREB Long-term coral reef community dynamics in St. John, USVI: 1987-2019) Growth and mortality of corals on long-term monitoring sites in St. John, USVI.\n\ncdm_data_type = Other\nVARIABLES:\ntag_number (unitless)\ncoral_taxon (unitless)\nyears_1996_1997 (millimeter per year)\nyears_1997_1998 (millimeter per year)\nyears_1998_1999 (millimeter per year)\nyears_1999_2000 (millimeter per year)\nyears_2000_2001 (millimeter per year)\nyears_2001_2002 (millimeter per year)\nyears_2002_2003 (millimeter per year)\nyears_2003_2003 (millimeter per year)\nyears_2004_2005 (millimeter per year)\nyears_2005_2006 (millimeter per year)\nyears_2006_2007 (millimeter per year)\nyears_2007_2008 (millimeter per year)\nyears_2008_2009 (millimeter per year)\nyears_2009_2010 (millimeter per year)\nyears_2010_2011 (millimeter per year)\nyears_2011_2012 (millimeter per year)\nyears_2012_2013 (millimeter per year)\nyears_2013_2014 (millimeter per year)\nyears_2014_2015 (millimeter per year)\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_735097/index.htmlTable https://www.bco-dmo.org/dataset/735097 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_735097.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_735097&showErrors=false&email= BCO-DMO bcodmo_dataset_735097
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 [Pro Syn Peuk CC Global Abundance Mean] - Prochlorococcus, Synechococcus, and picoeukaryotic phytoplankton yearly mean global abundance for four CMIP5 climate scenarios using an ensemble of five circulation models (Convergence: RAISE: Linking the adaptive dynamics of plankton with emergent global ocean biogeochemistry) Prochlorococcus, Synechococcus, and picoeukaryotic phytoplankton yearly mean\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/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 [Pro Syn Peuk CC Global Abundance Std] - Prochlorococcus, Synechococcus, and picoeukaryotic phytoplankton yearly standard deviation from mean global abundance estimated for four CMIP5 climate scenarios using an ensemble of five circulation models (Convergence: RAISE: Linking the adaptive dynamics of plankton with emergent global ocean biogeochemistry) Prochlorococcus, Synechococcus,\\u00a0and picoeukaryotic phytoplankton yearly\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/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

 
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