Item talk:Q327606

{

 "DOI": {
   "doi": "10.5066/p9nknvqo",
   "prefix": "10.5066",
   "suffix": "p9nknvqo",
   "identifiers": [],
   "alternateIdentifiers": [],
   "creators": [
     {
       "name": "Ator, Scott W",
       "nameType": "Personal",
       "givenName": "Scott W",
       "familyName": "Ator",
       "affiliation": [],
       "nameIdentifiers": [
         {
           "schemeUri": "https://orcid.org",
           "nameIdentifier": "https://orcid.org/0000-0002-9186-4837",
           "nameIdentifierScheme": "ORCID"
         }
       ]
     }
   ],
   "titles": [
     {
       "title": "SPARROW model inputs and simulated streamflow, nutrient and suspended-sediment loads in streams of the Northeastern United States, 2012 Base Year"
     }
   ],
   "publisher": "U.S. Geological Survey",
   "container": {},
   "publicationYear": 2020,
   "subjects": [
     {
       "subject": "Geochemistry, 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": "10.3133/sir20195118",
       "relatedIdentifierType": "DOI"
     },
     {
       "relationType": "IsCitedBy",
       "relatedIdentifier": "10.3133/cir1486",
       "relatedIdentifierType": "DOI"
     }
   ],
   "relatedItems": [],
   "sizes": [],
   "formats": [],
   "version": null,
   "rightsList": [],
   "descriptions": [
     {
       "description": "The U.S. Geological Survey's (USGS) SPAtially Referenced Regression On Watershed attributes (SPARROW) model was used to aid in the interpretation of monitoring data and simulate streamflow and water-quality conditions in streams across the Northeast Region of the United States. SPARROW is a hybrid empirical/process-based mass balance model that can be used to estimate the major sources and environmental factors that affect the long-term supply, transport, and fate of contaminants in streams. The spatially explicit model structure is defined by a river reach network coupled with contributing catchments. The model is calibrated by statistically relating watershed sources and transport-related properties to monitoring-based water-quality load estimates. This USGS data release includes input and output files associated with 2012 SPARROW simulations of streamflow, total nitrogen, total phosphorus and suspended-sediment load in streams of the Northeast region. Model construction, calibration and results are described in Ator (2019, https://doi.org/10.3133/sir20195118).",
       "descriptionType": "Abstract"
     }
   ],
   "geoLocations": [],
   "fundingReferences": [],
   "xml": "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",
   "url": "https://www.sciencebase.gov/catalog/item/5d4192aee4b01d82ce8da477",
   "contentUrl": null,
   "metadataVersion": 2,
   "schemaVersion": "http://datacite.org/schema/kernel-4",
   "source": "mds",
   "isActive": true,
   "state": "findable",
   "reason": null,
   "viewCount": 0,
   "viewsOverTime": [],
   "downloadCount": 0,
   "downloadsOverTime": [],
   "referenceCount": 0,
   "citationCount": 0,
   "citationsOverTime": [],
   "partCount": 0,
   "partOfCount": 0,
   "versionCount": 0,
   "versionOfCount": 0,
   "created": "2020-01-06T20:54:25.000Z",
   "registered": "2020-01-06T20:54:27.000Z",
   "published": "2020",
   "updated": "2021-11-14T04:34:51.000Z"
 }

}