{"accessLevel": "public", "bureauCode": ["020:00"], "contactPoint": {"fn": "Yong Ho Kim", "hasEmail": "mailto:kim.yongho@epa.gov"}, "description": "meta data. \n\nThis dataset is associated with the following publication:\nKim, Y.H., J. Rager, I. jaspers, and M. Gilmour. Computational Approach to Link Chemicals in Anthropogenic Smoke Particulate Matter with Toxicity.   CHEMICAL RESEARCH IN TOXICOLOGY. American Chemical Society, Washington, DC, USA, 35(12): 2210-2213, (2022).", "distribution": [{"downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1527851/SDMP_computational%20analysis.xlsx", "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet", "title": "SDMP_computational analysis.xlsx"}], "identifier": "https://doi.org/10.23719/1527851", "keyword": ["burn pit", "toxicology", "lung", "bioinformatics"], "license": "https://pasteur.epa.gov/license/sciencehub-license.html", "modified": "2022-08-11", "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/10.1021/acs.chemrestox.2c00270", "https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10959450"], "rights": null, "title": "burnpit computational data"}