Item talk:Q327150

{

 "DOI": {
   "doi": "10.5066/p9p6jkjw",
   "identifiers": [],
   "creators": [
     {
       "name": "Das, Adrian J",
       "nameType": "Personal",
       "givenName": "Adrian J",
       "familyName": "Das",
       "affiliation": [],
       "nameIdentifiers": [
         {
           "schemeUri": "https://orcid.org",
           "nameIdentifier": "https://orcid.org/0000-0002-3937-2616",
           "nameIdentifierScheme": "ORCID"
         }
       ]
     },
     {
       "name": "Slaton, Michele R.",
       "nameType": "Personal",
       "givenName": "Michele R.",
       "familyName": "Slaton",
       "affiliation": [],
       "nameIdentifiers": []
     },
     {
       "name": "Mallory, Jeffrey",
       "nameType": "Personal",
       "givenName": "Jeffrey",
       "familyName": "Mallory",
       "affiliation": [],
       "nameIdentifiers": []
     },
     {
       "name": "Asner, Gregory P.",
       "nameType": "Personal",
       "givenName": "Gregory P.",
       "familyName": "Asner",
       "affiliation": [],
       "nameIdentifiers": []
     },
     {
       "name": "Martin, Roberta E.",
       "nameType": "Personal",
       "givenName": "Roberta E.",
       "familyName": "Martin",
       "affiliation": [],
       "nameIdentifiers": [
         {
           "schemeUri": "https://orcid.org",
           "nameIdentifier": "https://orcid.org/0000-0003-3509-8530",
           "nameIdentifierScheme": "ORCID"
         }
       ]
     },
     {
       "name": "Hardwick, Paul",
       "nameType": "Personal",
       "givenName": "Paul",
       "familyName": "Hardwick",
       "affiliation": [],
       "nameIdentifiers": []
     }
   ],
   "titles": [
     {
       "title": "Calibration and Validation Data and Model Coefficients for Mixed Conifer Vulnerability Project from Sequoia and Kings Canyon National Park 2015 to 2019"
     }
   ],
   "publisher": "U.S. Geological Survey",
   "container": {},
   "publicationYear": 2021,
   "subjects": [
     {
       "subject": "biota, droughts, forest ecosystems, mixed conifer forest, remote sensing, temperate forest, tree mortality, vegetation, vulnerability California, Sequoia and Kings Canyon National Parks, Sierra Nevada, Ecology, Forestry,"
     }
   ],
   "contributors": [],
   "dates": [
     {
       "date": "2015/2019",
       "dateType": "Collected"
     },
     {
       "date": "2021",
       "dateType": "Issued"
     }
   ],
   "language": null,
   "types": {
     "ris": "DATA",
     "bibtex": "misc",
     "citeproc": "dataset",
     "schemaOrg": "Dataset",
     "resourceType": "Dataset",
     "resourceTypeGeneral": "Dataset"
   },
   "relatedIdentifiers": [
     {
       "relationType": "IsCitedBy",
       "relatedIdentifier": "10.1002/eap.2514",
       "relatedIdentifierType": "DOI"
     }
   ],
   "relatedItems": [],
   "sizes": [],
   "formats": [],
   "version": null,
   "rightsList": [],
   "descriptions": [
     {
       "description": "These datasets contain the attributes of individual trees located in and around Sequoia and Kings Canyon national parks. Attributes include remote sensing indices, terrain characteristics, and-- for the calibration data-- tree size and growth rates. Calibration data (mixedconifervulnerability_calibrationdataset.csv) were collected in long term research plots where trees are visited annually to check for mortality and periodically re-measured for diameter to capture growth. Validation data (mixedconifervulnerability_validationdataset.csv) were collected as part of a randomized sample located within a remote sensing 'flight box'. Remote sensing indices and terrain variables for both datasets were extracted from National Park Service data layers. This dataset also includes model coefficients for the top ranked survival models developed as part of the analysis of the calibration data. These data support the following publication: Das, A.J., Slaton, M.R., Mallory, J., Asner, G.P., Martin, R.E. and Hardwick, P., 2021. Empirically validated drought vulnerability mapping in the mixed conifer forests of the Sierra Nevada. Ecological Applications. https://doi.org/10.1002/eap.2514",
       "descriptionType": "Abstract"
     }
   ],
   "geoLocations": [],
   "fundingReferences": [],
   "url": "https://www.sciencebase.gov/catalog/item/6112bb32d34ed11898f7044c",
   "contentUrl": null,
   "metadataVersion": 2,
   "schemaVersion": "http://datacite.org/schema/kernel-4",
   "source": "mds",
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   "created": "2021-08-27T21:40:00Z",
   "registered": "2021-08-27T21:40:01Z",
   "published": null,
   "updated": "2021-12-29T00:52:45Z"
 }

}