Item talk:Q324945

From geokb
Revision as of 23:32, 10 September 2024 by Sky (talk | contribs) (updating cached DataCite metadata)
(diff) ← Older revision | Latest revision (diff) | Newer revision → (diff)

{

 "DOI": {
   "doi": "10.5066/p9y6ywg9",
   "identifiers": [],
   "creators": [
     {
       "name": "Stonewall, Adam",
       "nameType": "Personal",
       "givenName": "Adam",
       "familyName": "Stonewall",
       "affiliation": [],
       "nameIdentifiers": [
         {
           "schemeUri": "https://orcid.org",
           "nameIdentifier": "https://orcid.org/0000-0002-3277-8736",
           "nameIdentifierScheme": "ORCID"
         }
       ]
     }
   ],
   "titles": [
     {
       "title": "Oregon SELDM tools"
     }
   ],
   "publisher": "U.S. Geological Survey",
   "container": {},
   "publicationYear": 2019,
   "subjects": [],
   "contributors": [],
   "dates": [
     {
       "date": "2019",
       "dateType": "Issued"
     }
   ],
   "language": null,
   "types": {
     "ris": "DATA",
     "bibtex": "misc",
     "citeproc": "dataset",
     "schemaOrg": "Dataset",
     "resourceType": "Dataset",
     "resourceTypeGeneral": "Dataset"
   },
   "relatedIdentifiers": [
     {
       "relationType": "IsCitedBy",
       "relatedIdentifier": "10.3133/sir20195053",
       "relatedIdentifierType": "DOI"
     },
     {
       "relationType": "IsCitedBy",
       "relatedIdentifier": "10.3133/sir20225091",
       "relatedIdentifierType": "DOI"
     }
   ],
   "relatedItems": [],
   "sizes": [],
   "formats": [],
   "version": null,
   "rightsList": [],
   "descriptions": [
     {
       "description": "A series of tools (spreadsheets, a database and a document) to be used in conjunction with the SELDM simulations used in the publication: Stonewall, A.J., and Granato, G.E., 2019, Assessing potential effects of highway and urban runoff on receiving streams in total maximum daily load watersheds in Oregon using the Stochastic Empirical Loading and Dilution Model: U.S. Geological Survey Scientific Investigations Report 2019-5053, 116 p., https://doi.org/10.3133/sir20195053",
       "descriptionType": "Abstract"
     }
   ],
   "geoLocations": [],
   "fundingReferences": [],
   "url": "https://www.sciencebase.gov/catalog/item/5cfabedde4b0bb6e113637f8",
   "contentUrl": null,
   "metadataVersion": 3,
   "schemaVersion": "http://datacite.org/schema/kernel-4",
   "source": "mds",
   "isActive": true,
   "state": "findable",
   "reason": null,
   "viewCount": 0,
   "downloadCount": 0,
   "referenceCount": 0,
   "citationCount": 1,
   "partCount": 0,
   "partOfCount": 0,
   "versionCount": 0,
   "versionOfCount": 0,
   "created": "2019-07-18T16:37:06Z",
   "registered": "2019-07-18T16:37:07Z",
   "published": null,
   "updated": "2023-01-08T04:36:37Z"
 }

}