{"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", "accessURL": "https://doi.org/10.5066/P97CGHZH", "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.5f986594d34e198cb77ff084.xml", "format": "XML", "mediaType": "text/xml", "title": "Original Metadata"}], "identifier": "http://datainventory.doi.gov/id/dataset/USGS_5f986594d34e198cb77ff084", "keyword": ["AL", "Alabama", "DE", "Delaware", "GA", "Georgia", "IA", "ID", "Idaho", "Iowa", "KS", "Kansas", "MA", "MD", "ME", "MI", "MS", "Maine", "Maryland", "Massachusetts", "Michigan", "Mississippi", "NC", "NJ", "NM", "NV", "NY", "Nevada", "New Jersey", "New Mexico", "New York", "North Carolina", "OH", "OK", "OR", "Ohio", "Oklahoma", "Oregon", "PA", "Pennsylvania", "RI", "Rhode Island", "SC", "South Carolina", "TN", "TX", "Tennessee", "Texas", "US", "USGS:5f986594d34e198cb77ff084", "UT", "United States", "Utah", "VA", "Virginia", "WA", "WI", "WV", "WY", "Washington", "West Virginia", "Wisconsin", "Wyoming", "deep learning", "environment", "inlandWaters", "machine learning", "modeling", "streams", "water resources", "water temperature"], "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"}