This manuscript has 6 figures: Figure 1 shows the modeling domain and includes a map with the different analysis sub-regions. Shapefiles to be used with ArcGIS for re-creating this figure is included. The file named “EHP_data_summary” is and Excel file and includes the data used in creation of Figures 2-6. Note that these data files are a result of extensive data processing of many terra-bytes of model output from the hemispheric WRF-CMAQ model. The manuscript includes details on how this analysis was conducted, and other data-sets incorporated. This dataset is associated with the following publication: Wang, J., J. Xing , R. Mathur , J. Pleim , S. Wang, C. Hogrefe , M. Gan , D. Wong , and J. Hao. Historical Trends in PM2.5-Related Premature Mortality during 1990-2010 across the Northern Hemisphere. ENVIRONMENTAL HEALTH PERSPECTIVES. National Institute of Environmental Health Sciences (NIEHS), Research Triangle Park, NC, USA, 125(3): 400–408, (2017).

Data used for manuscript available at https://www.sciencedirect.com/science/article/pii/S1352231023005575. Includes a 'README' file briefly explaining how to combine this data with BenMAP-CE to reproduce the results. Citation information for this dataset can be found in Data.gov's References section.

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 “Evaluating Trends and Seasonality in Modeled PM2.5 Concentrations Using Empirical Mode Decomposition”. This dataset is associated with the following publication: Luo, 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).

The data files correspond to the figures in the manuscript and can be read into the open-source R software using standard commands (e.g., data <- readRDS('filename.rds') ). Citation information for this dataset can be found in the EDG's Metadata Reference Information section and Data.gov's References section.

These data sets were created using extensive model simulation results from the WRF-CMAQ model, population distributions, and through the use of an health impact assessment model - see manuscript for details. This dataset is associated with the following publication: Xing, J., J. Wang, R. Mathur , J. Pleim , S. Wang, C. Hogrefe , C. Gan, D. Wong , and J. Hao. Unexpected Benefits of Reducing Aerosol Cooling Effects. ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA, 50(14): 7527–7534, (2016).

Abstract copied from manuscript April 25: The adjoint of the U.S. EPA’s Community Multiscale Air Quality (CMAQ) model is extended for hemispheric scale applications and is used to estimate location-specific health impacts from primary PM2.5, and PM2.5 precursor emissions (NH3, NOX and SO2). We estimate the monetized health burden due to mortality caused by chronic PM2.5 exposure among adults living in the northern hemisphere, using a generalized concentration-response function. The health impact sensitivities show large spatial variability over the northern hemisphere and exhibit a great deal of seasonal variability, especially for inorganic precursor emissions. The largest marginal impacts are seen for NH3 and primary PM2.5. The estimated health impacts for a 10% reduction in emissions reveal a hemispheric burden of 513,700 avoided mortality (0.9% of global mortality) and monetized health benefits at above 1.2 trillion USD2016. The largest regional contribution to hemispheric mortality is found to be in East and South Asia, particularly China and India. Monetized health burdens are estimated to be highest in China and Europe while it was relatively similar in India as in Canada and the United States. Sectoral source contribution analysis demonstrates that the sectoral emissions of agriculture and residential are the largest contributors to the northern hemispheric scale health burden, however, regional differences exist in the results. Examining location- and sector-specific health impacts can inform more effective regulatory measures. This dataset is not publicly accessible because: These files are too large for ScienceHub. It can be accessed through the following means: These are available from the corresponding author upon request. Format: CMAQ outputs formatted as IOAPI with attribution results. These are available from the corresponding author upon request. This dataset is associated with the following publication: Oztaner, Y.B., S. Zhao, B. Henderson, R. Mathur, and A. Hakami. Source Attribution of PM2.5 Health Benefits Over Northern Hemisphere Using Adjoint of Hemispheric CMAQ. GeoHealth. American Geophysical Union, Washington, DC, USA, 10(1): e2025GH001533, (2026).

This dataset contains data contributed by EPA/ORD/NERL/CED researchers to the manuscript " Assessment and economic valuation of air pollution impacts on human health over Europe and the United States as calculated by a multi-model ensemble in the framework of AQMEII3" led by Dr. Ulas Im of Aarhus University in Denmark. This dataset is associated with the following publication: Im, U., J. Brandt, C. Geels, K. Hansen, J. Christensen, M. Andersen, E. Solazzo, I. Kioutsioukis, U. Alyuz, A. Balzarini, R. Baro, R. Bellasio, R. Bianconi, J. Bieser, A. Colette, G. Curci, A. Farrow, J. Flemming, A. Fraser, P. Jimenez-Guerrero, N. Kitwiroon, C. Liang, U. Nopmongcol, G. Pirovano, L. Pozzoli, M. Prank, R. Rose, R. Sokhi, P. Tuccella, A. Unal, M. Garcia Vivanco, J. West, G. Yarwood, C. Hogrefe, and S. Galmarini. Assessment and economic valuation of air pollution impacts on human health over Europe and the United States as calculated by a multi-model ensemble in the framework of AQMEII3. Atmospheric Chemistry and Physics. Copernicus Publications, Katlenburg-Lindau, GERMANY, 18: 5967-5989, (2018).