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).
Complete Metadata
| 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 |
