Dataset includes CMAQ predicted results. This dataset is not publicly accessible because: Shanghai Jiao Tong University created the dataset - EPA does not have the dataset. It can be accessed through the following means: Contact - Ping Liu, School of Environmental Science and Engineering, Shanghai Jiao Tong University, Shanghai 200240, China, email: ping_liu@sjtu.edu.cn. Format: Dataset includes CMAQ output files using netcdf format. This dataset is associated with the following publication: Chen, H., P. Liu, Q. Wang, R. Huang, and G. Sarwar. Impact and pathway of halogens on atmospheric oxidants in coastal city clusters in the Yangtze River Delta region in China. Atmospheric Pollution Research. Turkish National Committee for Air Pollution Research and Control, Izmir, TURKEY, 15(2): N/A, (2024).

Model output from the 2-way coupled WRF-CMAQ modeling system applied to China. This dataset is not publicly accessible because: EPA scientists helped with the model set-up and data analysis. The data was created by collaborators at Tsinghua University and is housed there. Since its not EPA generated data, the dataset is not included in ScienceHub. It can be accessed through the following means: The data can be accessed by contacting the corresponding author Prof. Shuxiao Wang (email: shxwang@tsinghua.edu.cn; phone: +86-10-62771466; fax: +86-10-62773650). Format: The data analyzed in this study were created by collaborators at Tsinghua University, China. The data can be accessed by contacting the corresponding author Prof. Shuxiao Wang (email: shxwang@tsinghua.edu.cn; phone: +86-10-62771466; fax: +86-10-62773650). This dataset is associated with the following publication: Xing, J., J. Wang, R. Mathur, S. Wang, G. Sarwar, J. Pleim, C. Hogrefe, Y. Zhang, J. Jiang, D. Wong, and J. Hao. Impacts of aerosol direct effects on tropospheric ozone through changes in atmospheric dynamics and photolysis rates. Atmospheric Chemistry and Physics. Copernicus Publications, Katlenburg-Lindau, GERMANY, 17: 9869-9883, (2017).

Model output from the 2-way coupled WRF-CMAQ modeling system applied to China. This dataset is not publicly accessible because: EPA scientists helped with the model set-up and data analysis. The data was created by collaborators at Tsinghua University and is housed there. Since its not EPA generated data, the dataset is not included in ScienceHub. It can be accessed through the following means: The data can be accessed by contacting the corresponding author Prof. Shuxiao Wang (email: shxwang@tsinghua.edu.cn; phone: +86-10-62771466; fax: +86-10-62773650). Format: The data analyzed in this study were created by collaborators at Tsinghua University, China. The data can be accessed by contacting the corresponding author Prof. Shuxiao Wang (email: shxwang@tsinghua.edu.cn; phone: +86-10-62771466; fax: +86-10-62773650). This dataset is associated with the following publication: Xing, J., J. Wang, R. Mathur, S. Wang, G. Sarwar, J. Pleim, C. Hogrefe, Y. Zhang, J. Jiang, D. Wong, and J. Hao. Impacts of aerosol direct effects on tropospheric ozone through changes in atmospheric dynamics and photolysis rates. Atmospheric Chemistry and Physics. Copernicus Publications, Katlenburg-Lindau, GERMANY, 17: 9869-9883, (2017).

Non-EPA data associated with Air Quality, Health, and Equity Benefits of Carbon Neutrality andClean Air Pathways in China. This dataset is not publicly accessible because: Data owned by Tsinghua University. It can be accessed through the following means: Contact Shuxiao Wang of Tsinghua University (shxwang@mail.tsinghua.edu.cn). Format: GCAM database, tables, and files associated with air quality simulations. This dataset is associated with the following publication: Sun, Y., Y. Jiang, J. Xing, Y. Ou, S. Wang, D. Loughlin, S. Yu, L. Ren, S. Li, Z. Dong, H. Zheng, B. Zhao, D. Ding, F. Zhang, H. Zhang, Q. Song, K. Liu, Z. Klimont, J. Woo, X. Lu, S. Li, and J. Hao. Air Quality, Health, and Equity Benefits of Carbon Neutrality and Clean Air Pathways in China. ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA, 58(34): 15027-15037, (2024).

Emission input and other input for running CMAQ model. This dataset is not publicly accessible because: Own by the collaborators. It can be accessed through the following means: send a request to the corresponding author. Format: netCDF format. This dataset is associated with the following publication: Wang, Q., Y. Li, F. Zhong, W. Wu, H. Zhang, R. Wang, Y. Duan, Q. Fu, Q. Li, L. Wang, S. Yu, A. Mellouki, D. Wong, and J. Chen. Ground ozone rise during the 2022 Shanghai lockdown caused by the unfavorable emission reduction ratio of nitrogen oxides and volatile organic compounds. ATMOSPHERIC ENVIRONMENT. Elsevier B.V., Amsterdam, NETHERLANDS, 340: 120851, (2025).

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. This dataset is associated with the following publication: Li, 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): 11845–11866, (2022).

CMAQ and chlorine emission inventory. This dataset is associated with the following publication: Yi, X., S. Yin, G. Sarwar, Q. Li, L. Huang, Y. Wang, D. Wong, T. Wang, L. Xue, H. Chen, J. Chen, A. Saiz-Lopez, and L. Li. Potential environmental impact of the chlorine-containing disinfectants usage during the COVID-19. ATMOSPHERIC ENVIRONMENT. Elsevier B.V., Amsterdam, NETHERLANDS, 335: 120734, (2024).

Data is not provided for this entry as it was developed by a non-Federal institution outside the United States. It is available upon request from Dr. Yu Morino (morino.yu@nies.go.jp). Data used to support analysis and conclusions in the manuscript include (1) surveys of stationary source emissions in Japan, (2) emission inventory data for all anthropogenic and biogenic sources relevant for POA emissions and SOA precursor emissions, and (3) CMAQ model output data for scenarios simulated for Japan for July 2 - August 10, 2019. Portions of this dataset are inaccessible because: This data is too large, and is maintained by the external lead author's laboratory. They can be accessed through the following means: Interested parties should contact Dr. Yu Morino at the National Institute for Environmental Studies in Japan (morino.yu@nies.go.jp). Please request the data supporting the article "Emissions of Condensable Organic Aerosols from Stationary Combustion Sources over Japan". Format: The data generated by this research study are in large binary file formats (> 100 GBs) and not appropriate for sharing via ScienceHub. They are available to interested parties via communication with the corresponding author. This dataset is associated with the following publication: Morino, Y., S. Chatani, Y. Fujitani, K. Tanabe , B. Murphy, S. Jathar, K. Takahashi, K. Sato, K. Kumagai,, and S. Saito. Emissions of Condensable Organic Aerosols from Stationary Combustion Sources over Japan. ATMOSPHERIC ENVIRONMENT. Elsevier B.V., Amsterdam, NETHERLANDS, 289: 119319, (2022).

Links point to the NOAA data archive of observational data and the supplement of the article which this data supports. No model data was uploaded due to its size. All updates to CMAQ used in this work are available in the public release of CMAQv5.1 (available through github or the CMAS Center). This dataset is associated with the following publication: Pye , H., D. Luecken , L. Xu, C.M. Boyd, N.L. Ng, K. Baker , B.R. Ayres, J. Bash , K. Baumann, W.P.L. Carter, E. Edgerton, J.L. Fry, B. Hutzell , D. Schwede , and P.B. Shepson. Modeling the current and future role of particulate organic nitrates in the southeastern United States. Environmental Science & Technology Letters. American Chemical Society, Washington, DC, USA, 49(24): 14195-14203, (2015).

A regular adjoint model simulation result. This dataset is not publicly accessible because: The data is owned by the first author Ms. Wang. It can be accessed through the following means: Please contact the first author Ms. Wang. Format: netCDF format