Item talk:Q336158

{

 "DOI": {
   "doi": "10.5066/p97cghzh",
   "prefix": "10.5066",
   "suffix": "p97cghzh",
   "identifiers": [],
   "alternateIdentifiers": [],
   "creators": [
     {
       "name": "Rahmani, Farshid",
       "nameType": "Personal",
       "givenName": "Farshid",
       "familyName": "Rahmani",
       "affiliation": [],
       "nameIdentifiers": []
     },
     {
       "name": "Lawson, Kathryn",
       "nameType": "Personal",
       "givenName": "Kathryn",
       "familyName": "Lawson",
       "affiliation": [],
       "nameIdentifiers": [
         {
           "schemeUri": "https://orcid.org",
           "nameIdentifier": "https://orcid.org/0000-0003-0075-7911",
           "nameIdentifierScheme": "ORCID"
         }
       ]
     },
     {
       "name": "Ouyang, Wenyu",
       "nameType": "Personal",
       "givenName": "Wenyu",
       "familyName": "Ouyang",
       "affiliation": [],
       "nameIdentifiers": []
     },
     {
       "name": "Appling, Alison",
       "nameType": "Personal",
       "givenName": "Alison",
       "familyName": "Appling",
       "affiliation": [],
       "nameIdentifiers": [
         {
           "schemeUri": "https://orcid.org",
           "nameIdentifier": "https://orcid.org/0000-0003-3638-8572",
           "nameIdentifierScheme": "ORCID"
         }
       ]
     },
     {
       "name": "Oliver, Samantha",
       "nameType": "Personal",
       "givenName": "Samantha",
       "familyName": "Oliver",
       "affiliation": [],
       "nameIdentifiers": [
         {
           "schemeUri": "https://orcid.org",
           "nameIdentifier": "https://orcid.org/0000-0001-5668-1165",
           "nameIdentifierScheme": "ORCID"
         }
       ]
     },
     {
       "name": "Shen, Chaopeng",
       "nameType": "Personal",
       "givenName": "Chaopeng",
       "familyName": "Shen",
       "affiliation": [],
       "nameIdentifiers": [
         {
           "schemeUri": "https://orcid.org",
           "nameIdentifier": "https://orcid.org/0000-0002-0685-1901",
           "nameIdentifierScheme": "ORCID"
         }
       ]
     }
   ],
   "titles": [
     {
       "title": "Exploring the exceptional performance of a deep learning stream temperature model and the value of streamflow data"
     }
   ],
   "publisher": "U.S. Geological Survey",
   "container": {},
   "publicationYear": 2020,
   "subjects": [
     {
       "subject": "Hydrology, Water Quality, Water Resources"
     }
   ],
   "contributors": [],
   "dates": [
     {
       "date": "2020",
       "dateType": "Issued"
     }
   ],
   "language": null,
   "types": {
     "ris": "DATA",
     "bibtex": "misc",
     "citeproc": "dataset",
     "schemaOrg": "Dataset",
     "resourceType": "Dataset",
     "resourceTypeGeneral": "Dataset"
   },
   "relatedIdentifiers": [
     {
       "relationType": "IsCitedBy",
       "relatedIdentifier": "10.1088/1748-9326/abd501",
       "relatedIdentifierType": "DOI"
     }
   ],
   "relatedItems": [],
   "sizes": [],
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   "version": null,
   "rightsList": [],
   "descriptions": [
     {
       "description": "This data release provides all data and code used in Rahmani et al. (2020) to model stream temperature and assess results. Briefly, we used a subset of the USGS GAGES-II dataset as a test case for temperature prediction using deep learning methods. The associated manuscript explores the value of including stream discharge as a predictor in the temperature models, including the value of predicted discharge from a separate model when no discharge measurements are available. The data are organized into these items: Spatial Information - Locations of the 118 monitoring sites used in this study Observations - Water temperature observations for the 118 sites used in this study Model Inputs - Model inputs, including basin attributes, weather drivers, and discharge Models - Code and configurations for the stream temperature models Model Predictions - Predictions of stream water temperature Model Evaluation - Performance metrics for each stream temperature model This research was funded by the Integrated Water Prediction Program at the US Geological Survey.",
       "descriptionType": "Abstract"
     }
   ],
   "geoLocations": [],
   "fundingReferences": [],
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