Item talk:Q322635

{

 "id": "10.5066/p949eht1",
 "attributes": {
   "doi": "10.5066/p949eht1",
   "identifiers": [],
   "creators": [
     {
       "name": "Rohweder, Jason",
       "nameType": "Personal",
       "givenName": "Jason",
       "familyName": "Rohweder",
       "affiliation": [],
       "nameIdentifiers": [
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           "schemeUri": "https://orcid.org",
           "nameIdentifier": "https://orcid.org/0000-0001-5131-9773",
           "nameIdentifierScheme": "ORCID"
         }
       ]
     }
   ],
   "titles": [
     {
       "title": "2010 Monarch Relevant Land Cover Data Set for Canada"
     }
   ],
   "publisher": "U.S. Geological Survey",
   "container": {},
   "publicationYear": 2019,
   "subjects": [
     {
       "subject": "land use, land cover, Monarch, Butterfly, Canada"
     }
   ],
   "contributors": [],
   "dates": [
     {
       "date": "2019",
       "dateType": "Issued"
     }
   ],
   "language": null,
   "types": {
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     "bibtex": "misc",
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   "version": null,
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   "descriptions": [
     {
       "description": "The USGS Upper Midwest Environmental Sciences Center developed a Monarch Relevant Land Cover data set covering the area of Canada. We used the 2010 land cover data set produced by the tri-national North American Land Change Monitoring System (NALCMS) and supported by the Commission for Environmental Cooperation (CEC) that depicts year 2010 land cover across North America at 30-meter spatial resolution, and incorporated additional spatially-explicit information to develop this land cover map. Additional sources of information included 2004 railroad data provided by The Atlas of Canada and the CEC, 2017 roads data provided by Statistics Canada, 2017 protected areas data provided by the CEC, and 2016 Canada provincial/territory boundary file data provided by Statistics Canada.",
       "descriptionType": "Abstract"
     }
   ],
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   "created": "2019-05-10T19:02:53Z",
   "registered": "2019-05-10T19:02:54Z",
   "published": null,
   "updated": "2023-09-27T16:03:41Z"
 },
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   "client": {
     "data": {
       "id": "usgs.prod",
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 },
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}