{"accessLevel": "public", "bureauCode": ["020:00"], "contactPoint": {"fn": "Keith Appel", "hasEmail": "mailto:appel.wyat@epa.gov"}, "describedBy": "https://pasteur.epa.gov/uploads/10.23719/1506002/documents/HogrefeChristian_Data_Dictionary_LuoEtAl_ACP.docx", "describedByType": "application/vnd.openxmlformats-officedocument.wordprocessingml.document", "description": "Files containing daily average total and speciated PM2.5 observations and WRF/CMAQ simulations that were contributed by EPA/ORD/CEMM/AESMD researchers to the manuscript \u201cEvaluating Trends and Seasonality in Modeled PM2.5 Concentrations Using Empirical Mode Decomposition\u201d. \n\nThis dataset is associated with the following publication:\nLuo, H., M. Astitha, C. Hogrefe, R. Mathur, and S.T. Rao. Evaluating Trends and Seasonality in Modeled PM2.5 Concentrations Using Empirical Mode Decomposition.   Atmospheric Pollution Research. Turkish National Committee for Air Pollution Research and Control, Izmir,  TURKEY, 20(22): 13801-13815, (2020).", "distribution": [{"downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1506002/sitecompare_data_3sites_LuoEtAl_ACP_2020.zip", "mediaType": "application/zip", "title": "sitecompare_data_3sites_LuoEtAl_ACP_2020.zip"}], "identifier": "https://doi.org/10.23719/1506002", "keyword": ["CMAQ", "air quality modeling", "model evaluation"], "license": "https://pasteur.epa.gov/license/sciencehub-license.html", "modified": "2019-12-31", "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-20-13801-2020"], "rights": null, "title": "Data contributed by EPA/ORD/CEMM/AESMD researchers to the manuscript \u201cEvaluating Trends and Seasonality in Modeled PM2.5 Concentrations Using Empirical Mode Decomposition\u201d"}