{"accessLevel": "public", "bureauCode": ["010:12"], "contactPoint": {"@type": "vcard:Contact", "fn": "Jordan S. Read", "hasEmail": "mailto:jread@usgs.gov"}, "description": "Observed water temperatures from 1980-2018 were compiled for 68 lakes in Minnesota and Wisconsin (USA). These data were used as training data for process-guided deep learning models and deep learning models, and calibration data for process-based models. The data are formatted as a single csv (comma separated values) file with attributes corresponding to the unique combination of lake identifier, time, and depth. Data came from a variety of sources, including the Water Quality Portal, the North Temperate Lakes Long-Term Ecological Research Project, and digitized temperature records from the MN Department of Natural Resources.", "distribution": [{"@type": "dcat:Distribution", "accessURL": "http://dx.doi.org/10.5066/P9AQPIVD", "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.5d8a47bce4b0c4f70d0ae61f.xml", "format": "XML", "mediaType": "text/xml", "title": "Original Metadata"}], "identifier": "http://datainventory.doi.gov/id/dataset/USGS_5d8a47bce4b0c4f70d0ae61f", "keyword": ["MN", "Minnesota", "US", "USGS:5d8a47bce4b0c4f70d0ae61f", "United States", "WI", "Wisconsin", "biota", "climate change", "deep learning", "environment", "hybrid modeling", "inlandWaters", "machine learning", "modeling", "reservoirs", "temperate lakes", "temperature", "thermal profiles", "water"], "modified": "2020-08-20T00:00:00Z", "publisher": {"@type": "org:Organization", "name": "U.S. Geological Survey"}, "spatial": "-94.2609062307949, 42.5692312672573, -87.9475441739278, 48.6427837911633", "theme": ["geospatial"], "title": "Process-guided deep learning water temperature predictions: 4c All lakes historical training data"}