{"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"}