,Each daily summary file contains data for every monitor (sampled parameter) in our database for each day. This dataset shows Ozone at all monitoring locations throughout the year 2017.,

contains hourly ozone and meteorological data. This dataset is associated with the following publication: Schliep, E., A. Gelfand, and D. Holland. Alternating Gaussian process modulated renewal processes for modeling threshold exceedances and durations. Stochastic Environmental Research and Risk Assessment. Springer-Verlag, BERLIN-HEIDELBERG, GERMANY, 32(2): 401-417, (2018).

contains hourly ozone and meteorological data. This dataset is associated with the following publication: Schliep, E., A. Gelfand, and D. Holland. Alternating Gaussian process modulated renewal processes for modeling threshold exceedances and durations. Stochastic Environmental Research and Risk Assessment. Springer-Verlag, BERLIN-HEIDELBERG, GERMANY, 32(2): 401-417, (2018).

This dataset provides modeled predictions of ozone levels from the EPA's Downscaler model. Data are at the census tract level for 2011-2014. 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.

This dataset hosted at https://zenodo.org/records/10222897 contains observed and CMAQ estimated gas species data and meteorological data that were used in the analysis documented in the manuscript "Revisiting Day-of-Week Ozone Patterns in an Era of Evolving U.S. Air Quality". The files are packages as a set of .tar.gz files with a corresponding Data Dictionary that contains meta data for each data file. This dataset is associated with the following publication: Simon, H., C. Hogrefe, A. Whitehill, K. Foley, J. Liljegren, N. Possiel, B. Wells, B. Henderson, L. Valin, G. Tonnesen, K. Appel, and S. Koplitz. Revisiting day-of-week ozone patterns in an era of evolving US air quality. Atmospheric Chemistry and Physics. Copernicus Publications, Katlenburg-Lindau, GERMANY, 24(3): 1855-1871, (2024).

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.