{"accessLevel": "public", "bureauCode": ["020:00"], "contactPoint": {"fn": "Havala Pye", "hasEmail": "mailto:pye.havala@epa.gov"}, "description": "Files contain values from Figures 1, 2, and 3 of the article by Pye et al., \"Leveraging scientific community knowledge for air quality model chemistry parameterizations,\" scheduled for publication in EM in January 2024. Figures 2 and 3 are available in csv and excel spreadsheet format. Figure 1 is only available in spreadsheet format. Figure 1 shows gas and aerosol-phase chemistry representations in CMAQ since 2010. Figure 2 shows ozone and SOA formation potential (in g/g) for CRACMM species. Figure 3 shows the size (number of species and reactions) for various chemical mechanisms. \n\nThis dataset is associated with the following publication:\nPye, H., R. Schwantes, K. Barsanti, V.F. McNeill, and G. Wolfe. Leveraging scientific community knowledge for air quality model chemistry parameterizations.   EM Magazine. Air and Waste Management Association, Pittsburgh, PA, USA,  24-31, (2024).", "distribution": [{"accessURL": "https://doi.org/10.5281/zenodo.7218076", "title": "https://doi.org/10.5281/zenodo.7218076"}, {"accessURL": "https://www.github.com/USEPA/CMAQ", "title": "https://www.github.com/USEPA/CMAQ"}, {"downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529808/20231120_pye_em_figuredata.xlsx", "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet", "title": "20231120_pye_em_figuredata.xlsx"}, {"downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529808/Fig2.csv", "mediaType": "text/plain", "title": "Fig2.csv"}, {"downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1529808/Fig3.csv", "mediaType": "text/plain", "title": "Fig3.csv"}], "identifier": "https://doi.org/10.23719/1529808", "keyword": ["CMAQ", "CRACMM", "Chemical Mechanism", "HAP", "Nitrogen and Co-pollutants", "Ozone", "secondary organic aerosol (SOA)"], "license": "https://pasteur.epa.gov/license/sciencehub-license.html", "modified": "2023-11-20", "programCode": ["020:000"], "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://www.awma.org/emcurrentissue"], "rights": null, "title": "Data for: Leveraging scientific community knowledge for air quality model chemistry parameterizations"}