{"accessLevel": "public", "bureauCode": ["010:12"], "contactPoint": {"@type": "vcard:Contact", "fn": "Jordan S. Read", "hasEmail": "mailto:jread@usgs.gov"}, "description": "Using predicted lake temperatures from uncalibrated, process-based models (PB0) and process-guided deep learning models (PGDL), this dataset summarized a collection of thermal metrics to characterize lake temperature impacts on fish habitat for 881 lakes. Included in the metrics are daily thermal optical habitat areas and a set of over 172 annual thermal metrics.", "distribution": [{"@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5066/P9PPHJE2", "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.5e774355e4b01d509270e2a1.xml", "format": "XML", "mediaType": "text/xml", "title": "Original Metadata"}], "identifier": "http://datainventory.doi.gov/id/dataset/USGS_5e774355e4b01d509270e2a1", "keyword": ["MN", "Minnesota", "SD", "South Dakota", "US", "USGS:5e774355e4b01d509270e2a1", "United States", "climate change", "deep learning", "environment", "hybrid modeling", "inlandWaters", "machine learning", "modeling", "reservoirs", "temperate lakes", "temperature", "thermal habitat", "thermal profiles", "water", "water resources"], "modified": "2021-07-21T00:00:00Z", "publisher": {"@type": "org:Organization", "name": "U.S. Geological Survey"}, "spatial": "-96.8588358, 43.5115807, -90.036237, 49.3749962", "theme": ["geospatial"], "title": "Walleye Thermal Optical Habitat Area (TOHA) of selected Minnesota lakes: 7 thermal and optical habitat estimates"}