{"accessLevel": "public", "bureauCode": ["010:12"], "contactPoint": {"@type": "vcard:Contact", "fn": "William H Asquith", "hasEmail": "mailto:wasquith@usgs.gov"}, "description": "The dataset folder entitled \u201cTamBa\u201d holds data structures consisting of statistical predictions of daily salinity time series for the Tampa Bay-Port Charlotte (TamBa) group, generated from the makESTUSAL software repository described by Asquith and others (2023b). The statistical methods included multiple methods of machine learning, which produced the daily salinity prediction and attendant credible uncertainties included in the data release. The geographic scope of the TamBa group includes the predictions for six locations defined using agency code and salinity site abbreviations.", "distribution": [{"@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5066/P90GZAZU", "description": "Landing page for access to the data", "format": "XML", "mediaType": "application/http", "title": "Digital Data"}, {"@type": "dcat:Distribution", "description": "The metadata original format", "downloadURL": "https://data.usgs.gov/datacatalog/metadata/USGS.65bc05a8d34e18c6baf2efba.xml", "format": "XML", "mediaType": "text/xml", "title": "Original Metadata"}], "identifier": "http://datainventory.doi.gov/id/dataset/USGS_65bc05a8d34e18c6baf2efba", "keyword": ["Estuary", "Gulf of Mexico", "Modeling", "Port Charlotte", "Salinity", "Tampa Bay", "USGS:65bc05a8d34e18c6baf2efba"], "modified": "2024-07-08T00:00:00Z", "publisher": {"@type": "org:Organization", "name": "U.S. Geological Survey"}, "spatial": "-82.6556, 26.9872, -81.9944, 28.0162", "theme": ["geospatial"], "title": "TamBa"}