{"accessLevel": "public", "bureauCode": ["010:12"], "contactPoint": {"@type": "vcard:Contact", "fn": "Farshid Rahmani", "hasEmail": "mailto:fzr5082@psu.edu"}, "description": "<p>This data release component contains evaluation metrics used to assess the predictive performance of each stream temperature model. For further description, see the metric calculations in the supplement of Rahmani et al. (2020), equations S1-S7.</p>", "distribution": [{"@type": "dcat:Distribution", "description": "The metadata original format", "downloadURL": "https://data.usgs.gov/datacatalog/metadata/USGS.5f9865fbd34e198cb77ff08c.xml", "format": "XML", "mediaType": "text/xml", "title": "Original Metadata"}, {"@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5066/P97CGHZH", "description": "Landing page for access to the data", "format": "XML", "mediaType": "application/http", "title": "Digital Data"}], "identifier": "http://datainventory.doi.gov/id/dataset/USGS_5f9865fbd34e198cb77ff08c", "keyword": ["inlandWaters", "Michigan", "United States", "NJ", "NM", "Utah", "Texas", "NV", "VA", "AL", "Delaware", "Iowa", "North Carolina", "USGS:5f9865fbd34e198cb77ff08c", "Nevada", "NC", "RI", "Rhode Island", "New Mexico", "GA", "OK", "environment", "WV", "Washington", "OR", "WY", "Oregon", "Maryland", "Virginia", "KS", "NY", "Kansas", "WA", "Wyoming", "New York", "SC", "modeling", "New Jersey", "WI", "OH", "TN", "South Carolina", "DE", "Mississippi", "Idaho", "Pennsylvania", "West Virginia", "TX", "deep learning", "Ohio", "Tennessee", "water temperature", "PA", "Wisconsin", "Massachusetts", "ID", "Maine", "MI", "UT", "US", "Oklahoma", "water resources", "MS", "machine learning", "streams", "Alabama", "MA", "MD", "Georgia", "IA", "ME"], "modified": "2020-12-09T00:00:00Z", "publisher": {"@type": "org:Organization", "name": "U.S. Geological Survey"}, "spatial": "-123.32988684, 30.1454932, -70.97964444, 48.90595739", "theme": ["geospatial"], "title": "Exploring the exceptional performance of a deep learning stream temperature model and the value of streamflow data: 6 Model evaluation"}