Item talk:Q322693

{

 "DOI": {
   "doi": "10.5066/f7kd1x68",
   "identifiers": [],
   "creators": [
     {
       "name": "Fox, Timothy J",
       "nameType": "Personal",
       "givenName": "Timothy J",
       "familyName": "Fox",
       "affiliation": [],
       "nameIdentifiers": [
         {
           "schemeUri": "https://orcid.org",
           "nameIdentifier": "https://orcid.org/0000-0002-6167-3001",
           "nameIdentifierScheme": "ORCID"
         }
       ]
     }
   ],
   "titles": [
     {
       "title": "Data Retrieval and Graphing Using the LTRM Fish Catch GeoJSON Data Service"
     }
   ],
   "publisher": "U.S. Geological Survey",
   "container": {},
   "publicationYear": 2018,
   "subjects": [
     {
       "subject": "python, fish, json"
     }
   ],
   "contributors": [],
   "dates": [
     {
       "date": "2018",
       "dateType": "Created"
     },
     {
       "date": "2018",
       "dateType": "Issued"
     }
   ],
   "language": null,
   "types": {
     "ris": "GEN",
     "bibtex": "misc",
     "citeproc": "article",
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     "resourceType": "Model",
     "resourceTypeGeneral": "Model"
   },
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   "sizes": [],
   "formats": [],
   "version": null,
   "rightsList": [],
   "descriptions": [
     {
       "description": "UMESC hosts a web service for the retrieval of LTRM fish catch data using the GeoJSON data format. By using this data service, the public can automate data access to LTRM fisheries data. UMESC has written a series of example Python scripts that illustrate data retrieval and plotting. These example scripts focus on plotting fish catch, but there are limitless geo-spatial, tabular, and plotting products that can be generated using this data interface. The GeoJSON data format can be readily consumed by JavaScript and JavaScript components (e.g. the open-source libraries of Leaflet) to create web-based or mobile mapping applications.",
       "descriptionType": "Abstract"
     }
   ],
   "geoLocations": [],
   "fundingReferences": [],
   "url": "https://www.sciencebase.gov/catalog/item/5df12287e4b02caea0f635ca",
   "contentUrl": null,
   "metadataVersion": 1,
   "schemaVersion": "http://datacite.org/schema/kernel-4",
   "source": "mds",
   "isActive": true,
   "state": "findable",
   "reason": null,
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   "created": "2018-02-12T14:18:44Z",
   "registered": "2018-02-12T14:18:45Z",
   "published": null,
   "updated": "2023-09-27T15:26:49Z"
 }

}