VIIRS satellite and ground pm2.5 monitoring data
Resources
2 resources available
-
PA510.csv
APPLICATION/VND.MS-EXCEL -
PAgrid.csv
APPLICATION/VND.MS-EXCEL
Complete Metadata
| 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 |
null
|
| rights |
null
|
| title | VIIRS satellite and ground pm2.5 monitoring data |