Two .Rdata files containing the data used for the statistical modeling and figures in the paper. daily_2000_2016.Rdata = dataset with daily meteorology and ozone data for 2000 through 2016 ozone_sites_2000_2016.Rdata = dataset with information on the ozone monitoring sites (e.g., longitude, latitude). This dataset is associated with the following publication: Wells, B., P. Dolwick, B. Eder, M. Evangelista, K. Foley, E. Mannshardt, C. Misenis, and A. Weshampel. Improved estimation of trends in U.S. ozone concentrations adjusted for interannual variability in meteorological conditions. ATMOSPHERIC ENVIRONMENT. Elsevier Science Ltd, New York, NY, USA, 248: 118234, (2021).

Files containing daily maximum 8-hr ozone mixing ratio observations and WRF/CMAQ simulations that were contributed by EPA/ORD/CEMM/AESMD researchers to the manuscript “Assessing the manageable portion of ground-level ozone in the contiguous United States”. This dataset is associated with the following publication: Luo, H., M. Astitha, C. Hogrefe, R. Mathur, and S.T. Rao. Assessing the manageable portion of the ozone problem in the contiguous United States. JOURNAL OF THE AIR & WASTE MANAGEMENT ASSOCIATION. Air & Waste Management Association, Pittsburgh, PA, USA, 70(11): 1136-1147, (2020).

Files containing daily maximum 8-hr ozone mixing ratio observations and WRF/CMAQ simulations that were contributed by EPA/ORD/CEMM/AESMD researchers to the manuscript “Assessing the manageable portion of ground-level ozone in the contiguous United States”. This dataset is associated with the following publication: Luo, H., M. Astitha, C. Hogrefe, R. Mathur, and S.T. Rao. Assessing the manageable portion of the ozone problem in the contiguous United States. JOURNAL OF THE AIR & WASTE MANAGEMENT ASSOCIATION. Air & Waste Management Association, Pittsburgh, PA, USA, 70(11): 1136-1147, (2020).

This dataset contains near-surface ozone concentrations simulated using the Community Multiscale Air Quality (CMAQ) model for the period 2036-2045 under two future climate scenarios and using a 2040 projection for air pollutant emissions. The data were used in a manuscript by Nassikas et al., published in Environmental Research in 2020. This dataset is associated with the following publication: Nassikas, N., K. Spangler, N. Fann, C. Nolte, P. Dolwick, T. Spero, P. Sheffield, and G. Willenius. Ozone-related asthma emergency department visits in the US in a warming climate. ENVIRONMENTAL RESEARCH. Elsevier B.V., Amsterdam, NETHERLANDS, 183: 109206, (2020).

This dataset contains near-surface ozone concentrations simulated using the Community Multiscale Air Quality (CMAQ) model for the period 2036-2045 under two future climate scenarios and using a 2040 projection for air pollutant emissions. The data were used in a manuscript by Nassikas et al., published in Environmental Research in 2020. This dataset is associated with the following publication: Nassikas, N., K. Spangler, N. Fann, C. Nolte, P. Dolwick, T. Spero, P. Sheffield, and G. Willenius. Ozone-related asthma emergency department visits in the US in a warming climate. ENVIRONMENTAL RESEARCH. Elsevier B.V., Amsterdam, NETHERLANDS, 183: 109206, (2020).

Files containing daily maximum 8-hr ozone mixing ratio observations and WRF/CMAQ simulations used in the analysis presented in the manuscript “Dynamic Evaluation of Two Decades of WRF-CMAQ Ozone Simulations over the Contiguous United States”. This dataset is associated with the following publication: Astitha, M., H. Luo, S.T. Rao, C. Hogrefe, R. Mathur, and N. Kumar. Dynamic evaluation of two decades of WRF-CMAQ ozone simulations over the contiguous United States. ATMOSPHERIC ENVIRONMENT. Elsevier Science Ltd, New York, NY, USA, 164: 102-116, (2017).

Files containing daily maximum 8-hr ozone mixing ratio observations and WRF/CMAQ simulations used in the analysis presented in the manuscript “Dynamic Evaluation of Two Decades of WRF-CMAQ Ozone Simulations over the Contiguous United States”. This dataset is associated with the following publication: Astitha, M., H. Luo, S.T. Rao, C. Hogrefe, R. Mathur, and N. Kumar. Dynamic evaluation of two decades of WRF-CMAQ ozone simulations over the contiguous United States. ATMOSPHERIC ENVIRONMENT. Elsevier Science Ltd, New York, NY, USA, 164: 102-116, (2017).

Data include public CMAQv5.3-5.4 code, the exact CMAQ code used in the accompanying manuscript, chemistry box model (F0AM) inputs, and CMAQ predictions of ozone at AQS sites. Ozone units are ppb unless otherwise indicated.

This dataset provides modeled predictions of ozone levels from the EPA's Downscaler model. Data are at the census tract level for 2001-2005. These data are used by the CDC's National Environmental Public Health Tracking Network to generate air quality measures. Census tract-level datasets contain estimates of the mean predicted concentration and associated standard error. Please refer to the metadata attachment for more information. Learn more about outdoor air quality on the Tracking Network's website: https://ephtracking.cdc.gov/showAirLanding.action. By using these data, you signify your agreement to comply with the following requirements: 1. Use the data for statistical reporting and analysis only. 2. Do not attempt to learn the identity of any person included in the data and do not combine these data with other data for the purpose of matching records to identify individuals. 3. Do not disclose of or make use of the identity of any person or establishment discovered inadvertently and report the discovery to: trackingsupport@cdc.gov. 4. Do not imply or state, either in written or oral form, that interpretations based on the data are those of the original data sources and CDC unless the data user and data source are formally collaborating. 5. Acknowledge, in all reports or presentations based on these data, the original source of the data and CDC. 6. Suggested citation: Centers for Disease Control and Prevention. National Environmental Public Health Tracking Network. Web. Accessed: insert date. www.cdc.gov/ephtracking.

This dataset provides modeled predictions of ozone levels from the EPA's Downscaler model. Data are at the census tract level for 2006-2010. These data are used by the CDC's National Environmental Public Health Tracking Network to generate air quality measures. Census tract-level datasets contain estimates of the mean predicted concentration and associated standard error. Please refer to the metadata attachment for more information. Learn more about outdoor air quality on the Tracking Network's website: https://ephtracking.cdc.gov/showAirLanding.action. By using these data, you signify your agreement to comply with the following requirements: 1. Use the data for statistical reporting and analysis only. 2. Do not attempt to learn the identity of any person included in the data and do not combine these data with other data for the purpose of matching records to identify individuals. 3. Do not disclose of or make use of the identity of any person or establishment discovered inadvertently and report the discovery to: trackingsupport@cdc.gov. 4. Do not imply or state, either in written or oral form, that interpretations based on the data are those of the original data sources and CDC unless the data user and data source are formally collaborating. 5. Acknowledge, in all reports or presentations based on these data, the original source of the data and CDC. 6. Suggested citation: Centers for Disease Control and Prevention. National Environmental Public Health Tracking Network. Web. Accessed: insert date. www.cdc.gov/ephtracking.