Item talk:Q319769

{

 "DOI": {
   "doi": "10.5066/p14x4ckg",
   "identifiers": [],
   "creators": [
     {
       "name": "Karl J Ellefsen",
       "nameType": "Personal",
       "affiliation": [
         "United States Geological Survey"
       ],
       "nameIdentifiers": [
         {
           "schemeUri": "https://orcid.org",
           "nameIdentifier": "https://orcid.org/0000-0003-3075-4703",
           "nameIdentifierScheme": "ORCID"
         }
       ]
     },
     {
       "name": "Margaret A Goldman",
       "nameType": "Personal",
       "affiliation": [
         "United States Geological Survey"
       ],
       "nameIdentifiers": [
         {
           "schemeUri": "https://orcid.org",
           "nameIdentifier": "https://orcid.org/0000-0003-2232-6362",
           "nameIdentifierScheme": "ORCID"
         }
       ]
     },
     {
       "name": "Bronwen Wang",
       "nameType": "Personal",
       "affiliation": [
         "United States Geological Survey"
       ],
       "nameIdentifiers": [
         {
           "schemeUri": "https://orcid.org",
           "nameIdentifier": "https://orcid.org/0000-0003-1044-2227",
           "nameIdentifierScheme": "ORCID"
         }
       ]
     }
   ],
   "titles": [
     {
       "title": "Software for Bayesian Mapping of Regionally Grouped, Sparse, Univariate Earth Science Data (Program BMRGSU)"
     }
   ],
   "publisher": "U.S. Geological Survey",
   "container": {},
   "publicationYear": 2023,
   "subjects": [],
   "contributors": [],
   "dates": [],
   "language": null,
   "types": {
     "ris": "COMP",
     "bibtex": "misc",
     "citeproc": "article",
     "schemaOrg": "SoftwareSourceCode",
     "resourceType": "Software",
     "resourceTypeGeneral": "Software"
   },
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   "descriptions": [
     {
       "description": "BMRGSU is software developed by the U.S. Geological Survey for Bayesian mapping of regionally-grouped, sparse, univariate, Earth-science data. This software implements an algorithm that smooths the estimated property across regions so that the deleterious effects of sparse data are mitigated. The algorithm can account for measurements that are censored, it can process multiple datasets with different measurement uncertainties and different censoring thresholds, and it can calculate the uncertainty in any statistic that is mapped. This software package includes a dataset that is used to demonstrate how the software is used.",
       "descriptionType": "Abstract"
     }
   ],
   "geoLocations": [],
   "fundingReferences": [],
   "url": "https://code.usgs.gov/g3sc/bmrgsu/-/releases/1.0.0",
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   "created": "2023-12-22T19:40:36Z",
   "registered": "2023-12-22T19:40:37Z",
   "published": null,
   "updated": "2024-01-12T21:08:04Z"
 }

}