Accessing BCO-DMO data
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BCO-DMO ERDDAP
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| griddap | Subset | tabledap | Make A Graph | wms | files | Accessible | Title | Summary | FGDC | ISO 19115 | Info | Background Info | RSS | Institution | Dataset ID | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 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 | [Tidal study of seawater microbial communities] - 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 (Signature exometabolomes of Caribbean corals and influences on reef picoplankton) | 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/fgdc/xml/bcodmo_dataset_783679_fgdc.xml | 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
| 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_931936_v1 | https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_931936_v1.graph | https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_931936_v1/ | public | [Winam Gulf Metagenomic Time Series] - Metagenomic Time Series of Winam Gulf, Lake Victoria from 2022-2023 (ASI Lake Victoria project) (IRES Track II: Advanced studies institute on water quality and harmful algal blooms in Lake Victoria) | Compared to the other \"Great Lakes\" (Laurentian Great Lakes of North America and Lake Baikal of Russia) the African Great Lakes have remained widely unstudied. This serves as a substantial research gap within the limnological literature given the African Great Lakes contribute approximately 25% of all global, accessible freshwater. Lake Victoria of the African Great Lakes is notable for its large size - serving as the second largest freshwater lake in the world by surface area. Yet, Lake Victoria is also known for the prolific year-long cyanobacterial blooms that occur throughout her waters such as the Winam Gulf. These blooms are fueled by intense agricultural and anthropogenic development much like other freshwater harmful algal blooms. However, unlike other freshwater blooms such as those occurring in Lake Erie and Lake Taihhu - these cyanobacterial blooms have remained widely uncharacterized (especially using molecular techniques). \n\nThe central study area is the Winam Gulf of Lake Victoria, Kenya. This is a relatively shallow, hypereutrophic system that has various rivers serving as nutrient loading sources (such as the Sondu River). This dataset also contains opportunistic samples collected from a variety of riverine systems and Lakes Simbi and Naivasha. \n\nHere, we present the biological, chemical and physical data corresponding to a two year metagenomic time series of the Winam Gulf, Lake Victoria. We further present the physiochemical data of eight outgroup samples including adjacent riverine systems and Lakes Simbi and Naivasha.\n\ncdm_data_type = Other\nVARIABLES:\nLibrary_ID (unitless)\nSite_Name (unitless)\nReplicate_id (unitless)\nSampleID (unitless)\nStudyID (unitless)\nSample_type (unitless)\nLake_or_river (unitless)\nlatitude (degrees_north)\n... (40 more variables)\n | https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_931936_v1_fgdc.xml | https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_931936_v1_iso19115.xml | https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_931936_v1/index.htmlTable | https://www.bco-dmo.org/dataset/931936
| https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_931936_v1.rss | https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_931936_v1&showErrors=false&email= | BCO-DMO | bcodmo_dataset_931936_v1 |