burnpit computational data
meta data.
This dataset is associated with the following publication:
Kim, 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).
Resources
1 resource available
-
SDMP_computational analysis.xlsx
APPLICATION/VND.OPENXMLFORMATS-OFFICEDOCUMENT.SPREADSHEETML.SHEET
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Complete Metadata
| @type | dcat:Dataset |
|---|---|
| accessLevel | public |
| bureauCode |
[ "020:00" ] |
| contactPoint |
{ "fn": "Yong Ho Kim", "hasEmail": "mailto:kim.yongho@epa.gov" } |
| description | meta data. This dataset is associated with the following publication: Kim, 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 |
[ { "title": "SDMP_computational analysis.xlsx", "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet", "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1527851/SDMP_computational%20analysis.xlsx" } ] |
| identifier | https://doi.org/10.23719/1527851 |
| keyword |
[ "bioinformatics", "burn pit", "lung", "toxicology" ] |
| 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 |
