Item talk:Q318474

{

 "DOI": {
   "doi": "10.5066/p9ibb2k5",
   "identifiers": [],
   "creators": [
     {
       "name": "Corey G Dunn",
       "nameType": "Personal",
       "affiliation": [
         "United States Geological Survey"
       ],
       "nameIdentifiers": [
         {
           "schemeUri": "https://orcid.org",
           "nameIdentifier": "https://orcid.org/0000-0002-7102-2165",
           "nameIdentifierScheme": "ORCID"
         }
       ]
     },
     {
       "name": "Logan J Sleezer",
       "nameType": "Personal",
       "affiliation": [
         "United States Geological Survey"
       ],
       "nameIdentifiers": [
         {
           "schemeUri": "https://orcid.org",
           "nameIdentifier": "https://orcid.org/0000-0002-5787-8629",
           "nameIdentifierScheme": "ORCID"
         }
       ]
     },
     {
       "name": "Michael E Colvin",
       "nameType": "Personal",
       "affiliation": [
         "United States Geological Survey"
       ],
       "nameIdentifiers": [
         {
           "schemeUri": "https://orcid.org",
           "nameIdentifier": "https://orcid.org/0000-0002-6581-4764",
           "nameIdentifierScheme": "ORCID"
         }
       ]
     }
   ],
   "titles": [
     {
       "title": "R code for calculating imperilment of freshwater fish with a Bayesian belief network"
     }
   ],
   "publisher": "U.S. Geological Survey",
   "container": {},
   "publicationYear": 2023,
   "subjects": [
     {
       "subject": "freshwater fishes"
     },
     {
       "subject": "bayesian"
     },
     {
       "subject": "imperilment"
     }
   ],
   "contributors": [],
   "dates": [
     {
       "date": "2023",
       "dateType": "Issued"
     }
   ],
   "language": null,
   "types": {
     "ris": "COMP",
     "bibtex": "misc",
     "citeproc": "article",
     "schemaOrg": "SoftwareSourceCode",
     "resourceType": "Software",
     "resourceTypeGeneral": "Software"
   },
   "relatedIdentifiers": [],
   "relatedItems": [],
   "sizes": [],
   "formats": [],
   "version": null,
   "rightsList": [],
   "descriptions": [
     {
       "description": "This R script is reproduces a Bayesian belief network built within the propriety software program, Netica. The R- and Netica-based belief networks were used in Dunn and Schumann et al. (in press), which presents an approach for calculating imperilment of freshwater fishes. ",
       "descriptionType": "Abstract"
     }
   ],
   "geoLocations": [],
   "fundingReferences": [],
   "url": "https://code.usgs.gov/cooperativeresearchunits/north-carolina/bayesian-belief-network",
   "contentUrl": null,
   "metadataVersion": 1,
   "schemaVersion": "http://datacite.org/schema/kernel-4",
   "source": "mds",
   "isActive": true,
   "state": "findable",
   "reason": null,
   "viewCount": 0,
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   "created": "2023-11-02T14:44:43Z",
   "registered": "2023-11-02T14:44:44Z",
   "published": null,
   "updated": "2024-07-12T14:47:17Z"
 }

}