{
  "accessLevel": "public",
  "bureauCode": [
    "020:00"
  ],
  "contactPoint": {
    "fn": "John Carriger",
    "hasEmail": "mailto:carriger.john@epa.gov"
  },
  "description": "The datasets analyzed for this study can be found in the USDA Forest Service Research Data Archive. The \"date of last update\" was required in this entry but I could not find exact information on this in the Forest Service data repository website but metadata indicated April of 2022 upload. \n\nThis dataset is associated with the following publication:\nThompson, M.P., and J.F. Carriger. Avoided wildfire impact modeling with counterfactual probabilistic analysis.  Luciana Ghermandi  Frontiers in Forests and Global Change. Frontiers, Lausanne,  SWITZERLAND, 6: 1266413, (2023).",
  "distribution": [
    {
      "accessURL": "https://doi.org/10.2737/RDS-2022-0026",
      "title": "https://doi.org/10.2737/RDS-2022-0026"
    }
  ],
  "identifier": "https://doi.org/10.23719/1529354",
  "keyword": [
    "Risk",
    "climate",
    "computer simulation",
    "effectiveness",
    "event attribution",
    "fuels management",
    "mitigation"
  ],
  "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html",
  "modified": "2023-04-15",
  "programCode": [
    "020:000"
  ],
  "publisher": {
    "name": "U.S. EPA Office of Research and Development (ORD)",
    "subOrganizationOf": {
      "name": "U.S. Environmental Protection Agency",
      "subOrganizationOf": {
        "name": "U.S. Government"
      }
    }
  },
  "references": [
    "https://doi.org/10.3389/ffgc.2023.1266413"
  ],
  "rights": null,
  "title": "Linked data for Wildfire Impact Modeling with Counterfactual Probabilistic Analysis"
}