Item talk:Q318512

{

 "DOI": {
   "doi": "10.5066/p9yygi5r",
   "identifiers": [],
   "creators": [
     {
       "name": "Tyler Wagner",
       "nameType": "Personal",
       "affiliation": [
         "United States Geological Survey"
       ],
       "nameIdentifiers": [
         {
           "schemeUri": "https://orcid.org",
           "nameIdentifier": "https://orcid.org/0000-0003-1726-016X",
           "nameIdentifierScheme": "ORCID"
         }
       ]
     }
   ],
   "titles": [
     {
       "title": "Predicting climate change impacts on poikilotherms"
     }
   ],
   "publisher": "U.S. Geological Survey",
   "container": {},
   "publicationYear": 2022,
   "subjects": [
     {
       "subject": "climate change"
     },
     {
       "subject": "cru"
     },
     {
       "subject": "poikilotherms"
     },
     {
       "subject": "physiology"
     }
   ],
   "contributors": [],
   "dates": [
     {
       "date": "2022",
       "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 software involves files to fit the physiologically-guided abundance (PGA) model ('fish_predictions_pga.R'), a naive model ('fish_predictions_naive.R'), and a PGA model using simulated data ('PGA_sim.R'). Each R file calls as associated .stan file that contains the model code that is executed by stan when running the R code ('fish_prediction.stan', 'fish_prediction_naive.stan', and 'fish_prediction_sim.stan', respecively.). The R scripts are currently setup to fit the model to bluegill data, but this can be changed to either yellow perch or cisco within the R scrip. The data for fitting the models can be found at https://hdl.handle.net/11299/228403.",
       "descriptionType": "Abstract"
     }
   ],
   "geoLocations": [],
   "fundingReferences": [],
   "url": "https://code.usgs.gov/cooperativeresearchunits/pennsylvania/predicting-climate-change-poikilotherms",
   "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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   "referenceCount": 0,
   "citationCount": 0,
   "partCount": 0,
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   "created": "2022-10-19T19:30:35Z",
   "registered": "2022-10-19T19:30:36Z",
   "published": null,
   "updated": "2024-07-10T20:18:38Z"
 }

}