{"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"}