{
  "accessLevel": "public",
  "bureauCode": [
    "020:00"
  ],
  "contactPoint": {
    "fn": "Havala Pye",
    "hasEmail": "mailto:pye.havala@epa.gov"
  },
  "description": "Observed and modeled data shown in figure 2b-c. \n\nThis dataset is associated with the following publication:\nMao, J., A. Carlton, R. Cohen, W. Brune, S. Brown, G. Wolfe, J. Jimenez, H. Pye, N.L. Ng, L. Xu, V.F. McNeill, K. Tsigaridis, B. McDonald, C. Warneke, A. Guenther, M. Alvarado, J. de Gouw, L. Mickley, E. Liebensperger, R. Mathur, C. Nolte, R. Portmann, N. Unger, M. Tosca, and L. Horowitz. Southeast Atmosphere Studies: learning from model-observation syntheses.   Atmospheric Chemistry and Physics. Copernicus Publications, Katlenburg-Lindau,  GERMANY, 18: 2615-2651, (2018).",
  "distribution": [
    {
      "accessURL": "https://esrl.noaa.gov/csd/groups/csd7/measurements/2013senex/",
      "title": "https://esrl.noaa.gov/csd/groups/csd7/measurements/2013senex/"
    },
    {
      "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1407538/maoetal.zip",
      "mediaType": "application/x-zip-compressed",
      "title": "maoetal.zip"
    }
  ],
  "identifier": "https://doi.org/10.23719/1407538",
  "keyword": [
    "Aerosol",
    "CMAQ",
    "Ozone",
    "SAS",
    "SOA",
    "SOAS",
    "Southeastern USA"
  ],
  "license": "https://pasteur.epa.gov/license/sciencehub-license.html",
  "modified": "2017-02-16",
  "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": [
    "https://doi.org/10.5194/acp-18-2615-2018"
  ],
  "rights": null,
  "title": "Southeast Atmosphere Studies: learning from model-observation syntheses"
}