VIIRS satellite and ground pm2.5 monitoring data
Resources
2 resources available
-
PA510.csv
APPLICATION/VND.MS-EXCEL -
PAgrid.csv
APPLICATION/VND.MS-EXCEL
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Complete Metadata
| @type | dcat:Dataset |
|---|---|
| accessLevel | public |
| bureauCode |
[ "020:00" ] |
| contactPoint |
{ "fn": "David Holland", "hasEmail": "mailto:holland.david@epa.gov" } |
| description | contains all satellite, pm2.5, and meteorological data used in statistical modeling effort to improve prediction of pm2.5. This dataset is associated with the following publication: Schliep, E., A. Gelfand, and D. Holland. Autoregressive Spatially-Varying Coefficient Models for Predicting Daily PM2:5 Using VIIRS Satellite AOT. Advances in Statistical Climatology, Meteorology and Oceanography. Copernicus Publications, Katlenburg-Lindau, GERMANY, 1(0): 59-74, (2015). |
| distribution |
[ { "title": "PA510.csv", "mediaType": "application/vnd.ms-excel", "downloadURL": "https://pasteur.epa.gov/uploads/259/PA510.csv" }, { "title": "PAgrid.csv", "mediaType": "application/vnd.ms-excel", "downloadURL": "https://pasteur.epa.gov/uploads/259/PAgrid.csv" } ] |
| identifier | A-jm6j-259 |
| keyword |
[ "pm2.5", "prediction", "satellite VIIRS data" ] |
| license | https://pasteur.epa.gov/license/sciencehub-license.html |
| modified | 2015-01-15 |
| programCode |
[ "020:094" ] |
| publisher |
{ "name": "U.S. EPA Office of Research and Development (ORD)", "subOrganizationOf": { "name": "U.S. Environmental Protection Agency", "subOrganizationOf": { "name": "U.S. Government" } } } |
| references |
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| rights |
null
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| title | VIIRS satellite and ground pm2.5 monitoring data |