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https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_712027 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_712027.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_712027/ public Chemical data associated with field collections from the Gulf of Maine, Nauset Marsh Estuary System, and Long Island Sound (Alexandrium isotopes project) Chemical data associated with field collections from the Gulf of Maine, Nauset Marsh Estuary System, and Long Island Sound (Alexandrium isotopes project)\n\ncdm_data_type = Other\nVARIABLES:\nDate (unitless)\nSample_ID (unitless)\nDescription (unitless)\ndepth (m)\nd15N_NO3 (D15 N NO3, per mil (0/00))\nd18O_NO3 (D18 O NO3, per mil (0/00))\nd15N_NH4 (Mole Concentration Of Ammonium In Sea Water, per mil (0/00))\nd15N_POM (D15 N POM, per mil (0/00))\nNO3 (micromoles per liter)\nNH4 (Mole Concentration Of Ammonium In Sea Water, micromoles per liter)\nPO4 (micromoles per liter)\nSilicate (Mass Concentration Of Silicate In Sea Water, micromoles per liter)\n https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_712027_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_712027/index.htmlTable https://www.bco-dmo.org/dataset/712027 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_712027.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_712027&showErrors=false&email= BCO-DMO bcodmo_dataset_712027
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_785167.subset https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_785167 https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_785167/ public Eastern oyster gonad methylation patterns in response to experimental ocean acidification Eastern oyster gonad methylation patterns in response to experimental ocean acidification at pCO2 levels 400 and 2800 ppm. Oysters were collected from an intertidal oyster reef in Plum Island Sound, MA, Gulf of Maine in mid-July 2016. This dataset includes GenBank BioProject PRJNA513384 metadata.\n\ncdm_data_type = Other\nVARIABLES:\nbioproject_accession (unitless)\nbiosample_accession (unitless)\nlibrary_ID (unitless)\ntitle (unitless)\nlibrary_strategy (unitless)\nlibrary_source (unitless)\nlibrary_selection (unitless)\nlibrary_layout (unitless)\nplatform (unitless)\ninstrument_model (unitless)\ndesign_description (unitless)\nfiletype (unitless)\nfilename (unitless)\nfilename2 (unitless)\nMBD_cv_id (unitless)\npCO2_treatment (P CO2 Treatment, ppm)\n https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_785167_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_785167/index.htmlTable https://www.bco-dmo.org/dataset/785167 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_785167.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_785167&showErrors=false&email= BCO-DMO bcodmo_dataset_785167
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_783679.subset https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_783679 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_783679.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_783679/ public Flow cytometry and nutrient analyses data from a tidal study over 48 hours of mangrove, seagrass, and seawater from the US Virgin Islands in July of 2017 Data from a tidal study over 48 hours of mangrove, seagrass, and seawater from the US Virgin Islands in 2017.  These data include tidal height, depth, temperature, salinity, Prochlorococcus counts, Synechococcus counts, Picoeukaryote abundances, nutrient concentrations at accession numbers for sequences at The National Center for Biotechnology Information (NCBI) Sequence Read Archive (SRA).\n\ncdm_data_type = Other\nVARIABLES:\nSample_ID (unitless)\nNCBI_BioProject_accession_number (NCBI Bio Project Accession Number, unitless)\nNCBI_BioSample_accession_number (NCBI Bio Sample Accession Number, unitless)\nSample_type (unitless)\nSequencing_Strategy (unitless)\nSequencing_Instrument_model (unitless)\nSequencing_strategy (unitless)\nSite_Name (unitless)\nBiome (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\nCollection_Date (unitless)\nCollection_Time (unitless)\ntime (ISO Date Time UTC, seconds since 1970-01-01T00:00:00Z)\nTide (unitless)\nTide_Height (Sea Surface Height, meters (m))\nTime_elapsed_between_tide_timepoint_and_collection (Sea Surface Height, minutes)\ndepth (Collection Depth, m)\nSite_Depth (meters (m))\nTemperature (degrees Celsius (ºC))\nSalinity (Sea Water Practical Salinity, Practical Salinity Units (PSU))\nProchlorococcus (cells per milliliter (cells/ml))\nSynechococcus (cells per milliliter (cells/ml))\n... (7 more variables)\n https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_783679_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_783679/index.htmlTable https://www.bco-dmo.org/dataset/783679 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_783679.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_783679&showErrors=false&email= BCO-DMO bcodmo_dataset_783679
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_747948.subset https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_747948 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_747948.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_747948/ public Illumina sequencing data from sediment strata collected from the cold seeps of Hydrate Ridge, metalliferous sediments of Juan de Fuca Ridge, and organic-rich hydrothermal sediments of Guaymas Basin Illumina sequencing data (NCBI accession numbers) from sediment strata collected from the cold seeps of Hydrate Ridge, metalliferous sediments of Juan de Fuca Ridge, and organic-rich hydrothermal sediments of Guaymas Basin.\n\ncdm_data_type = Other\nVARIABLES:\nsequence_accession_number (unitless)\nlink (unitless)\nSpecies_Names (unitless)\ndescription_of_the_types_of_sequences (unitless)\nlocations_where_species_were_collected (unitless)\nlatitude_dms (Latitude, unitless)\nlongitude_dms (Longitude, unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\nVessel (unitless)\nDive_number (unitless)\nsequencing_and_analysis_methods (unitless)\ninstrument_and_model (unitless)\nAnalysis_methods (unitless)\n https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_747948_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_747948/index.htmlTable https://www.bco-dmo.org/dataset/747948 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_747948.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_747948&showErrors=false&email= BCO-DMO bcodmo_dataset_747948
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_745518.subset https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_745518 https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_745518/ public Microbial eukaryotic focused metatranscriptome data from seawater collected in coastal California in May of 2015 Seawater was collected via Niskin bottles mounted with a CTD from the San Pedro Ocean Time-series (SPOT) station off the coast of Southern California near the surface (5 m), 150 and 890 m, in late May 2015. Raw sequence data was generated as part of a metatranscriptome study targeting the protistan community.  Raw sequences are available at the National Center for Biotechnology Information (NCBI) Sequence Read Archive (SRA) database (SRA Study ID: SRP110974, BioProject: PRJNA391503).  Sequences for BioProject PRJNA608423 will be available at NCBI on Jan 1st, 2021.\\r\\n\\r\\nThese data were published in Hu et al. (2018).\n\ncdm_data_type = Other\nVARIABLES:\nSRA_run (unitless)\nSRA_run_link (unitless)\nSRA_study (unitless)\nbioproject_accession (unitless)\nbiosample_accession (unitless)\nlibrary_ID (unitless)\ntitle (unitless)\nsample_name (unitless)\nlibrary_strategy (unitless)\nlibrary_source (unitless)\nlibrary_selection (unitless)\nlibrary_layout (unitless)\nplatform (unitless)\ninstrument_model (unitless)\ndesign_description (unitless)\nfiletype (unitless)\nfilename (unitless)\nfilename2 (unitless)\n https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_745518_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_745518/index.htmlTable https://www.bco-dmo.org/dataset/745518 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_745518.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_745518&showErrors=false&email= BCO-DMO bcodmo_dataset_745518
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_745527.subset https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_745527 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_745527.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_745527/ public NCBI accession metadata for 18S rRNA gene tag sequences from DNA and RNA from samples collected in coastal California in 2013 and 2014 Raw DNA and RNA V4 tag sequences include spatially and temporally distinct samples from coastal California.  Samples were collected in Niskin bottles with a CTD rosette at the San Pedro Ocean Time-series (SPOT) between April of 2013 and January of 2014.  This dataset contains sequence data accession numbers and metadata for the National Center for Biotechnology Information (NCBI) Sequence Read Archive (SRA) database (SRA Study ID: SRP070577, BioProject: PRJNA311248).\n\ncdm_data_type = Other\nVARIABLES:\nbioproject_accession (unitless)\nsample_name (unitless)\nSRA_run_ID (unitless)\nSRA_run_link (unitless)\nlibrary_ID (unitless)\nSRA_study_ID (unitless)\nSRA_title (unitless)\nlibrary_strategy (unitless)\nlibrary_source (unitless)\nlibrary_selection (unitless)\nlibrary_layout (unitless)\nplatform (unitless)\ninstrument_model (unitless)\ndesign_description (unitless)\nfiletype (unitless)\nfilename (unitless)\nfiletpe2 (unitless)\nfilename2 (unitless)\ndepth2 (Depth, various)\nlatitude (degrees_north)\nlongitude (degrees_east)\n https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_745527_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_745527/index.htmlTable https://www.bco-dmo.org/dataset/745527 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_745527.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_745527&showErrors=false&email= BCO-DMO bcodmo_dataset_745527
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_700961.subset https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_700961 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_700961.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_700961/ public NCBI Sequence Read Archive (SRA) accession numbers for fastq sequence files for each zooplankton community sample (Plankton Population Genetics project) These data include sample information and accession links to sequence data at\nThe National Center for Biotechnology Information (NCBI) Sequence Read Archive\n(SRA).\n \nThis data submission consists of metabarcoding data for the zooplankton\ncommunity in the epipelagic, mesopelagic and upper bathypelagic zones\n(0-1500m) of the North Pacific Subtropical Gyre. The goal of this study was to\nassess the hidden diversity present in zooplankton assemblages in midwaters,\nand detect vertical gradients in species richness, depth distributions, and\ncommunity composition of the full zooplankton assemblage. Samples were\ncollected in June 2014 from Station ALOHA (22.75, -158) using a 1 meter square\nMultiple Opening and Closing Nets and Environmental Sampling System (MOCNESS,\n200um mesh), on R/V Falkor cruise FK140613. \\u00a0Next generation sequence\ndata (Illumina MiSeq, V3 chemistry, 300-bp paired-end) of the zooplankton\nassemblage derive from amplicons of the V1-V2 region of 18S rRNA (primers\ndescribed in Fonseca et al. 2010). The data includes sequences and read count\nabundance information for molecular OTUs from both holoplanktonic and\nmeroplanktonic taxa\n \nRelated dataset containing OTU tables and fasta sequences (representative /\nmost abundance read for each OTU):  \n[Metabarcoding zooplankton at ](\\\\http://www.bco-\ndmo.org/dataset/700279\\\\)[station](\\\\http://www.bco-\ndmo.org/dataset/700279\\\\)[ ALOHA: OTU tables and ](\\\\http://www.bco-\ndmo.org/dataset/700279\\\\)[fasta](\\\\http://www.bco-\ndmo.org/dataset/700279\\\\)[ files](\\\\http://www.bco-\ndmo.org/dataset/700279\\\\)\n\ncdm_data_type = Other\nVARIABLES:\nanalysis_name (unitless)\n... (15 more variables)\n https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_700961_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_700961/index.htmlTable https://www.bco-dmo.org/dataset/700961 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_700961.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_700961&showErrors=false&email= BCO-DMO bcodmo_dataset_700961
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_668083.subset https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_668083 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_668083.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_668083/ public Size-fractionated major and minor particle composition and concentration collected from RV Thompson (TN303) along the US GEOTRACES EPZT transect in the Eastern Tropical Pacific during 2013 (US GEOTRACES EPZT project) Size-fractionated major and minor particle composition and concentration collected from RV Thompson (TN303) along the US GEOTRACES EPZT transect in the Eastern Tropical Pacific during 2013 (US GEOTRACES EPZT project)\n\ncdm_data_type = Other\nVARIABLES:\ncruise_id (unitless)\nSTNNBR (unitless)\nGEOTRC_SAMPNO (unitless)\nGEOTRC_EVENTNO (unitless)\ntime (ISO Date Time UTC, seconds since 1970-01-01T00:00:00Z)\nCASTNO (unitless)\nlatitude (degrees_north)\nlongitude (PUMP LON, degrees_east)\nBTMDEPTH (meters)\nDEPTH_MAX (Depth, meters)\nsliters (liters)\nY_SPT_CONC_PUMP (picomole per liter)\nMo_SPT_CONC_PUMP (picomole per liter)\nAg_SPT_CONC_PUMP (picomole per liter)\nCd_SPT_CONC_PUMP (picomole per liter)\nBa_SPT_CONC_PUMP (picomole per liter)\nNd_SPT_CONC_PUMP (picomole per liter)\nPb_SPT_CONC_PUMP (picomole per liter)\nTh_SPT_CONC_PUMP (picomole per liter)\nAl_SPT_CONC_PUMP (picomole per liter)\nP_SPT_CONC_PUMP (picomole per liter)\nSc_SPT_CONC_PUMP (picomole per liter)\nTi_SPT_CONC_PUMP (picomole per liter)\nV_SPT_CONC_PUMP (picomole per liter)\nMn_SPT_CONC_PUMP (picomole per liter)\n... (169 more variables)\n https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_668083_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_668083/index.htmlTable https://www.bco-dmo.org/dataset/668083 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_668083.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_668083&showErrors=false&email= BCO-DMO bcodmo_dataset_668083
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_3871.subset https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_3871 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_3871.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_3871/ public Size-fractionated major and minor particle composition and concentration from R/V Knorr KN199-04, KN204-01 in the subtropical North Atlantic Ocean from 2010-2011 (U.S. GEOTRACES NAT project) Size-fractionated major and minor particle composition and concentration from R/V Knorr KN199-04, KN204-01 in the subtropical North Atlantic Ocean from 2010-2011 (U.S. GEOTRACES NAT project).\n\ncdm_data_type = Other\nVARIABLES:\ncruise_id (text)\nstation_GEOTRC (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\ndate (unitless)\ntime2 (Time, unitless)\ndepth_w (Depth, meters)\ncast_GEOTRC (integer)\ncast_flag (unitless)\ncast_type (integer)\nevent_GEOTRC (unitless)\ndepth_n (Depth, meters)\ndepth_flag (Depth, unitless)\ndepth_sd (Depth, meters)\ndepth_sd_flag (Depth, unitless)\ndepth (m)\ndepth_GEOTRC_CTD_round (Depth, meters)\nsample_GEOTRC (unitless)\nsample_bottle_GEOTRC (integer)\nbottle_GEOTRC (unitless)\nsample_GEOTRC_flag (unitless)\nBTL_ISO_DateTime_UTC (BTL ISO Date Time UTC, unitless)\ntime (ISO Date Time UTC, seconds since 1970-01-01T00:00:00Z)\npump (unitless)\npump_flag (unitless)\nvol_QMA (liters)\n... (219 more variables)\n https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_3871_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_3871/index.htmlTable https://www.bco-dmo.org/dataset/3871 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_3871.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_3871&showErrors=false&email= BCO-DMO bcodmo_dataset_3871
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_807340.subset https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_807340 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_807340.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_807340/ public Size-fractionated major and minor particle composition and concentration from the from the US GEOTRACES Arctic cruise (HLY1502) on USCGC Healy from August to October 2015 Size-fractionated major and minor particle composition and concentration from the U.S. GEOTRACES Arctic Cruise (GN01) in 2015.\n\ncdm_data_type = Other\nVARIABLES:\nCruise (None)\nlatitude (degrees_north)\nlongitude (degrees_east)\nStation_ID (None)\ncast (None)\nEvent_ID (None)\nStart_Date_UTC (None)\nStart_Time_UTC (None)\ntime (Start ISO Date Time UTC, seconds since 1970-01-01T00:00:00Z)\nSample_ID (None)\ndepth (Sample Depth, m)\nBot_Depth (meters (m))\nsliters (liters (L))\nqliters (liters (L))\nY_LPT_CONC_PUMP_3xbuwf (pmol/kg)\nFlag_Y_LPT_CONC_PUMP_3xbuwf (None)\nSD1_Y_LPT_CONC_PUMP_3xbuwf (pmol/kg)\nY_SPT_CONC_PUMP_hg18wa (pmol/kg)\nFlag_Y_SPT_CONC_PUMP_hg18wa (None)\nSD1_Y_SPT_CONC_PUMP_hg18wa (pmol/kg)\nMo_LPT_CONC_PUMP_wzplcd (pmol/kg)\nFlag_Mo_LPT_CONC_PUMP_wzplcd (None)\nSD1_Mo_LPT_CONC_PUMP_wzplcd (pmol/kg)\nMo_SPT_CONC_PUMP_ayjtto (pmol/kg)\nFlag_Mo_SPT_CONC_PUMP_ayjtto (None)\nSD1_Mo_SPT_CONC_PUMP_ayjtto (pmol/kg)\n... (212 more variables)\n https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_807340_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_807340/index.htmlTable https://www.bco-dmo.org/dataset/807340 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_807340.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_807340&showErrors=false&email= BCO-DMO bcodmo_dataset_807340
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_724215.subset https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_724215 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_724215.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_724215/ public Subsurface data from ABLE deployments in the upwelling region of the west coast of northern California from 2016-2018 Subsurface instrument data for each ABLE unit during each deployment, including environmental data records and logs of instrument actions such as pump strokes for changing buoyancy. ABLE instruments were deployed in the upwelling region of the west coast of northern California from 2016-2018.\n\ncdm_data_type = Other\nVARIABLES:\nDeployment (unitless)\nname (unitless)\nMigration_model (unitless)\nMigration_depth_1 (meters)\nMigration_depth_2 (meters)\nCUMSECS (seconds)\ntime (Date UTC, seconds since 1970-01-01T00:00:00Z)\nDate_Local (unitless)\ndepth (m)\nTarget_Z (meters)\nZ_Bot (meters)\nTemp (Temperature, degrees Celsius)\nPAR (Downwelling Photosynthetic Photon Radiance In Sea Water, moles per square meter per second (mol m?2 s?1))\nSalin (practical salinity units)\nAng_VelX (Ang Vel X, ?)\nAng_VelY (Ang Vel Y, ?)\nAng_VelZ (Ang Vel Z, ?)\nPump_plus (unitless)\nPump_minus (unitless)\nGnd_switch_count (unitless)\nfix_interval (hours)\naspe (meters per second (m/s))\nxspe (meters per second (m/s))\nspe (meters per second (m/s))\ndir (degrees)\nQA_flag (unitless)\n https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_724215_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_724215/index.htmlTable https://www.bco-dmo.org/dataset/724215 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_724215.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_724215&showErrors=false&email= BCO-DMO bcodmo_dataset_724215
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_724002.subset https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_724002 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_724002.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_724002/ public Surface data from ABLE deployments in the upwelling region of the west coast of northern California from 2016-2018 Surface data from ABLE deployments in the upwelling region of the west coast of northern California from 2016-2018: GPS position locations for each ABLE unit during each deployment and other spatial data, as well as common fields describing the ABLE unit, deployment, and other identifiers for that data subset.\n\ncdm_data_type = Other\nVARIABLES:\nDeployment (unitless)\nname (unitless)\nMigration_model (unitless)\ndepth (Migration Depth 1, m)\nMigration_depth_2 (meters)\nFix_secs (seconds)\ntime (Date UTC, seconds since 1970-01-01T00:00:00Z)\nDate_Local (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\nDOP (unitless)\nTemp (Temperature, degrees Celsius)\nPAR (Downwelling Photosynthetic Photon Radiance In Sea Water, moles per square meter per second (mol m?2 s?1))\nSalin (practical salinity units)\nBatt_V (volts)\nReport_no (unitless)\nfix_interval (hours)\naspe (meters per second (m/s))\nxspe (meters per second (m/s))\nspe (meters per second (m/s))\ndir (degrees)\nelapsed_time (hours)\nd_pos_norm (meters per hour (m/h))\nd_drop_norm (meters per hour (m/h))\n... (8 more variables)\n https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_724002_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_724002/index.htmlTable https://www.bco-dmo.org/dataset/724002 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_724002.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_724002&showErrors=false&email= BCO-DMO bcodmo_dataset_724002
https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_746654.subset https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_746654 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_746654.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_746654/ public Trichodesmium AHL amendment metatranscriptomic reads accessions and metadata Trichodesmium is a marine, diazotrophic cyanobacterium that plays a central role in the biogeochemical cycling of carbon and nitrogen. Colonies ubiquitously co-occur with a diverse microbiome of heterotrophic bacteria. Here we show that manipulation of the microbiome with quorum sensing acyl homoserine lactone (AHL) molecules significantly modulated rates of N2 fixation by Trichodesmium collected from the western North Atlantic, with both positive and negative effects of varied magnitude. Changes in Trichodesmium N2 fixation did not clearly correlate with changes in microbiome composition or geochemical patterns. Metatranscriptome sequencing revealed significant changes in the relative abundance of microbiome transcripts encoding metabolic functions consistent with quorum sensing responses in model bacteria. There was little overlap in specific microbiome transcriptional responses to AHL addition between stations, and this variability in microbiome gene expression may underpin the heterogeneous changes in Trichodesmium N2 fixation. These data suggest the microbiome could play a large and previously overlooked role in modulating Trichodesmium N2 fixation. This metadata form describes the metatranscriptomic sequencing reads that were used in the study.\n\ncdm_data_type = Other\nVARIABLES:\nbioproject_accession (unitless)\nbiosample_accession (unitless)\nlibrary_ID (unitless)\ntitle (unitless)\nlibrary_strategy (unitless)\nlibrary_source (unitless)\nlibrary_selection (unitless)\nlibrary_layout (unitless)\nplatform (unitless)\ninstrument_model (unitless)\ndesign_description (unitless)\nfiletype (unitless)\nassembly (unitless)\nfilename (unitless)\n... (7 more variables)\n https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_746654_iso19115.xml https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_746654/index.htmlTable https://www.bco-dmo.org/dataset/746654 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_746654.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_746654&showErrors=false&email= BCO-DMO bcodmo_dataset_746654

 
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