Item talk:Q320059

{

 "DOI": {
   "doi": "10.5066/p9pravaq",
   "identifiers": [],
   "creators": [
     {
       "name": "Terziotti, Silvia",
       "nameType": "Personal",
       "givenName": "Silvia",
       "familyName": "Terziotti",
       "affiliation": [],
       "nameIdentifiers": [
         {
           "schemeUri": "https://orcid.org",
           "nameIdentifier": "https://orcid.org/0000-0003-3559-5844",
           "nameIdentifierScheme": "ORCID"
         }
       ]
     },
     {
       "name": "Hopkins, Kristina G",
       "nameType": "Personal",
       "givenName": "Kristina G",
       "familyName": "Hopkins",
       "affiliation": [],
       "nameIdentifiers": [
         {
           "schemeUri": "https://orcid.org",
           "nameIdentifier": "https://orcid.org/0000-0003-1699-9384",
           "nameIdentifierScheme": "ORCID"
         }
       ]
     }
   ],
   "titles": [
     {
       "title": "Geomorphological Features of North Carolina"
     }
   ],
   "publisher": "U.S. Geological Survey",
   "container": {},
   "publicationYear": 2018,
   "subjects": [
     {
       "subject": "Geomorphology,Water Resources"
     }
   ],
   "contributors": [],
   "dates": [
     {
       "date": "2018",
       "dateType": "Issued"
     }
   ],
   "language": null,
   "types": {
     "ris": "DATA",
     "bibtex": "misc",
     "citeproc": "dataset",
     "schemaOrg": "Dataset",
     "resourceType": "Dataset",
     "resourceTypeGeneral": "Dataset"
   },
   "relatedIdentifiers": [
     {
       "relationType": "IsCitedBy",
       "relatedIdentifier": "10.3133/ofr20221058",
       "relatedIdentifierType": "DOI"
     }
   ],
   "relatedItems": [],
   "sizes": [],
   "formats": [],
   "version": null,
   "rightsList": [],
   "descriptions": [
     {
       "description": "Three statewide datasets were compiled to provide information on the geomorphology for North Carolina. Geomorphology is commonly a missing element in many Earth-surface process models, thus it is essential to extract this missing information from available DEMs and use it to inform models and better understand the area of interest. For these threee datasets, information was extracted and post processed from lidar derived digital elevation models (DEMs) at 10 ft. and 30ft. resolution. Datasets are currently used for the project SPARROW Modeling for North Carolina Watersheds, but have the potential to be used in numerous applications. Slope area index (SAI), the ten most common geomorphons (i.e. geomorphologic feature), and topographic openness are included in this data release and should be utilized based on user needs.",
       "descriptionType": "Abstract"
     }
   ],
   "geoLocations": [],
   "fundingReferences": [],
   "url": "https://www.sciencebase.gov/catalog/item/5b719526e4b0f5d57879ef08",
   "contentUrl": null,
   "metadataVersion": 2,
   "schemaVersion": "http://datacite.org/schema/kernel-4",
   "source": "mds",
   "isActive": true,
   "state": "findable",
   "reason": null,
   "viewCount": 0,
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   "citationCount": 1,
   "partCount": 0,
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   "created": "2018-10-05T18:19:44Z",
   "registered": "2018-10-05T18:19:45Z",
   "published": null,
   "updated": "2023-12-10T04:32:32Z"
 }

}