{"accessLevel": "public", "bureauCode": ["020:00"], "contactPoint": {"fn": "Kirankumar Alapaty", "hasEmail": "mailto:alapaty.kiran@epa.gov"}, "description": "Data was generated by the US EPA's CMAQ model and is the industry standard for the past 2 decades. Any use of CMAQ model can handle this data with ease. This dataset is not publicly accessible because: Data belongs to academia. It can be accessed through the following means: contact the first author. Format: netCDF data files using CMAQ. \n\nThis dataset is associated with the following publication:\nLi, M., S. Yu, X. Chen, Z.  Li, Y.  Zhang, Z. Song, W. Liu, P. Li, X.  Zhang, M. Zhang, Y. Sun, Z. Liu, C. Sun, J. Jiang, S. Wang, B. Murphy, K. Alapaty, R. Mathur, D. Rosenfeld, and J.H. Seinfeld. Impacts of condensable particulate matter on atmospheric organic aerosols and fine particulate matter (PM2.5) in China.   Atmospheric Chemistry and Physics. Copernicus Publications, Katlenburg-Lindau,  GERMANY, 22(17): 11845\u201311866, (2022).", "distribution": [], "identifier": "https://doi.org/10.23719/1526316", "keyword": ["air pollution", "emissions", "modeling", "pm2.5"], "license": "https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html", "modified": "2022-01-31", "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://doi.org/10.5194/acp-22-11845-2022"], "rights": null, "title": "Condensable PM on Atmospheric organic aerosols and PM2.5 in China data"}