{"accessLevel": "public", "bureauCode": ["010:12"], "contactPoint": {"@type": "vcard:Contact", "fn": "Farshid Rahmani", "hasEmail": "mailto:fzr5082@psu.edu"}, "description": "<p>This data release component contains mean daily stream water temperature observations, retrieved from the USGS National Water Information System (NWIS) and used to train and validate all temperature models. The model training period was from 2010-10-01 to 2014-09-30, and the test period was from 2014-10-01 to 2016-09-30.</p>", "distribution": [{"@type": "dcat:Distribution", "description": "The metadata original format", "downloadURL": "https://data.usgs.gov/datacatalog/metadata/USGS.5f986594d34e198cb77ff084.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_5f986594d34e198cb77ff084", "keyword": ["inlandWaters", "Michigan", "United States", "NJ", "NM", "Utah", "Texas", "NV", "VA", "AL", "Delaware", "Iowa", "North Carolina", "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", "USGS:5f986594d34e198cb77ff084", "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: 2 Observations"}