Small form factor filter based sampling data - Ambient and chamber
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2 resources available
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SFFFS_AIRS_study_ScienceHub.xlsx
APPLICATION/VND.OPENXMLFORMATS-OFFICEDOCUMENT.SPREADSHEETML.SHEET -
SFFFS_Chamber_study_ScienceHub.csv
APPLICATION/VND.MS-EXCEL
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Complete Metadata
| @type | dcat:Dataset |
|---|---|
| accessLevel | public |
| bureauCode |
[ "020:00" ] |
| contactPoint |
{ "fn": "Jonathan Krug", "hasEmail": "mailto:krug.jonathan@epa.gov" } |
| description | Small form factor filter based PM collection data from both co-located ambient sampling and chamber studies conducted on controlled smoke environments. Metadata is contained within files. This dataset is associated with the following publication: Krug, J.D., R. Long, M. Colon, A. Habel, S. Urbanski, and M. Landis. Evaluation of Small Form Factor, Filter-Based PM2.5 Samplers for Temporary Non-Regulatory Monitoring During Wildland Fire Smoke Events. ATMOSPHERIC ENVIRONMENT. Elsevier Science Ltd, New York, NY, USA, 265: 0, (2021). |
| distribution |
[ { "title": "SFFFS_AIRS_study_ScienceHub.xlsx", "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet", "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1520906/SFFFS_AIRS_study_ScienceHub.xlsx" }, { "title": "SFFFS_Chamber_study_ScienceHub.csv", "mediaType": "application/vnd.ms-excel", "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1520906/SFFFS_Chamber_study_ScienceHub.csv" } ] |
| identifier | https://doi.org/10.23719/1520906 |
| keyword |
[ "particulate matter", "pm2.5", "small form factor sampler", "wildland fire smoke" ] |
| license | https://pasteur.epa.gov/license/sciencehub-license.html |
| modified | 2021-02-25 |
| 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/10.1016/j.atmosenv.2021.118718" ] |
| rights |
null
|
| title | Small form factor filter based sampling data - Ambient and chamber |