{"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. \n\nThis dataset is associated with the following publication:\nSchliep, 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": [{"downloadURL": "https://pasteur.epa.gov/uploads/259/PA510.csv", "mediaType": "application/vnd.ms-excel", "title": "PA510.csv"}, {"downloadURL": "https://pasteur.epa.gov/uploads/259/PAgrid.csv", "mediaType": "application/vnd.ms-excel", "title": "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"}