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Wildfire Transcriptomic Similarity Scoring Data
This dataset was generated to support the differential expression analysis, transcriptomic similarity scoring analysis, exposure chemistry profiles, mouse pulmonary toxicity measures and associated figures contained within the manuscript.
This dataset is associated with the following publication:
Koval, L., C. Carberry, Y.H. Kim, E. McDermott, H. Hartwell, I. Jaspers, M. Gilmour, and J. Rager. Wildfire Variable Toxicity: Identifying Biomass Smoke Exposure Groupings through Transcriptomic Similarity Scoring. International Journal of Environmental Science and Technology. Springer, Heidelburg, GERMANY, 56(23): 17131-17142, (2022).
Resources
3 resources available
-
https://dataverse.unc.edu/dataverse/ragerlab
FILE -
https://github.com/Ragerlab/Script_for_Wildfire-Variable-Toxicity--Identifying-Biomass-Smoke-Exposure-Groupings-through-Transcri
FILE -
https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE164542
FILE
Complete Metadata
| accessLevel | public |
|---|---|
| bureauCode |
[
"020:00"
]
|
| contactPoint |
{
"fn": "Yong Ho Kim",
"hasEmail": "mailto:kim.yongho@epa.gov"
}
|
| description | This dataset was generated to support the differential expression analysis, transcriptomic similarity scoring analysis, exposure chemistry profiles, mouse pulmonary toxicity measures and associated figures contained within the manuscript. This dataset is associated with the following publication: Koval, L., C. Carberry, Y.H. Kim, E. McDermott, H. Hartwell, I. Jaspers, M. Gilmour, and J. Rager. Wildfire Variable Toxicity: Identifying Biomass Smoke Exposure Groupings through Transcriptomic Similarity Scoring. International Journal of Environmental Science and Technology. Springer, Heidelburg, GERMANY, 56(23): 17131-17142, (2022). |
| distribution |
[
{
"title": "https://dataverse.unc.edu/dataverse/ragerlab",
"accessURL": "https://dataverse.unc.edu/dataverse/ragerlab"
},
{
"title": "https://github.com/Ragerlab/Script_for_Wildfire-Variable-Toxicity--Identifying-Biomass-Smoke-Exposure-Groupings-through-Transcri",
"accessURL": "https://github.com/Ragerlab/Script_for_Wildfire-Variable-Toxicity--Identifying-Biomass-Smoke-Exposure-Groupings-through-Transcri"
},
{
"title": "https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE164542",
"accessURL": "https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE164542"
}
]
|
| identifier | https://doi.org/10.23719/1531715 |
| keyword |
[
"air pollution",
"biofuels",
"bioinformatics",
"toxicology",
"wildfire"
]
|
| license | https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html |
| modified | 2022-09-01 |
| 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.est.2c06043",
"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10777820"
]
|
| rights |
null
|
| title | Wildfire Transcriptomic Similarity Scoring Data |
