{"accessLevel": "public", "bureauCode": ["010:12"], "contactPoint": {"@type": "vcard:Contact", "fn": "William H Asquith", "hasEmail": "mailto:wasquith@usgs.gov"}, "description": "The dataset folder entitled \u201cMatLa\u201d holds data structures consisting of statistical predictions of daily salinity time series for the Matagorda-Lavaca Bay (MatLa) 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 MatLa group includes the predictions for seven locations defined using agency code and salinity site abbreviations.", "distribution": [{"@type": "dcat:Distribution", "description": "The metadata original format", "downloadURL": "https://data.usgs.gov/datacatalog/metadata/USGS.65bc053fd34e18c6baf2efa3.xml", "format": "XML", "mediaType": "text/xml", "title": "Original Metadata"}, {"@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"}], "identifier": "http://datainventory.doi.gov/id/dataset/USGS_65bc053fd34e18c6baf2efa3", "keyword": ["Salinity", "Matagorda-Lavaca Bay", "Estuary", "Gulf of Mexico", "USGS:65bc053fd34e18c6baf2efa3", "Modeling"], "modified": "2024-07-08T00:00:00Z", "publisher": {"@type": "org:Organization", "name": "U.S. Geological Survey"}, "spatial": "-96.5960, 28.5620, -95.9300, 28.6700", "theme": ["geospatial"], "title": "MatLa"}