This dataset contains genome-wide DNA methylation data from the Illumina EPIC array as well as information on the exposure given (clean air, diesel, or ozone) at each time point. Demographic and anthropomorphic information on the participants in the study is also included within the dataset. This dataset is not publicly accessible because: EPA cannot release personally identifiable information regarding living individuals, according to the Privacy Act and the Freedom of Information Act (FOIA). This dataset contains information about human research subjects. Because there is potential to identify individual participants and disclose personal information, either alone or in combination with other datasets, individual level data are not appropriate to post for public access. Restricted access may be granted to authorized persons by contacting the party listed. It can be accessed through the following means: This data can be accessed by contacting the data owners. Access to the data requires an approved Institutional Review Board application from an appropriate institution. Format: This dataset include blood biomarker measurements (DNA methylation; Ilumina EPIC Methylation array) along with demographic and anthropomorphic information on participants. In addition there is data on which controlled exposure was received (clean air or diesel or ozone) and at which time points. This dataset is associated with the following publications: Cardenas, A., R. Fadadu, L. Van Der Laan, C. Ward-Caviness, L. Granger, D. Diaz-Sanchez, M. Bind, and R. Devlin. Controlled Human Exposures to Diesel Exhaust: A Human Epigenome-Wide Experiment of Target Bronchial Epithelial Cells. Environmental Epigenetics. Oxford University Press, Cary, NC, USA, 7(1): dvab003, (2021). Bind, M., D. Rubin, A. Cardenas, R. Dhingra, C. Ward-Caviness, Z. Liu, J. Mirowsky, J. Schwartz, B. Coull, D. Diazsanchez, and R. Devlin. HETEROGENEOUS OZONE EFFECTS ON DNA METHYLOME OF BRONCHIAL CELLS: OBSERVED IN A CROSSOVER STUDY. Scientific Reports. Nature Publishing Group, London, UK, 10(1): 15739, (2020).

Dataset contains a list of metabolites, their fold change after ozone exposure and a p value for that change. This dataset is not publicly accessible because: EPA cannot release personally identifiable information regarding living individuals, according to the Privacy Act and the Freedom of Information Act (FOIA). This dataset contains information about human research subjects. Because there is potential to identify individual participants and disclose personal information, either alone or in combination with other datasets, individual level data are not appropriate to post for public access. Restricted access may be granted to authorized persons by contacting the party listed. It can be accessed through the following means: This dataset can be accessed by contacting Dr. Robert Devlin (devlin.rober@epa.gov). Format: The dataset was sent to us by the company (Metabolon) that did the metabolite analysis, including the statistical analysis). It is an excel spreadsheet that contains a row for each of the metabolites that were identified, fold changes in each metabolite after air and ozone exposure (and the p value of the ozone-induced change), and the pathway and superpathway to which each metabolite belongs. This dataset is associated with the following publication: Cheng, W., K. Duncan, A. Ghio, C. Ward-Caviness, E. Karoly, D. Diaz-Sanchez, R. Conolly, and R. Devlin. Changes in metabolites present in lung-lining fluid following exposure to humans to ozone. TOXICOLOGICAL SCIENCES. Society of Toxicology, RESTON, VA, 163(2): 430-439, (2018).

Dataset contains a list of metabolites, their fold change after ozone exposure and a p value for that change. This dataset is not publicly accessible because: EPA cannot release personally identifiable information regarding living individuals, according to the Privacy Act and the Freedom of Information Act (FOIA). This dataset contains information about human research subjects. Because there is potential to identify individual participants and disclose personal information, either alone or in combination with other datasets, individual level data are not appropriate to post for public access. Restricted access may be granted to authorized persons by contacting the party listed. It can be accessed through the following means: This dataset can be accessed by contacting Dr. Robert Devlin (devlin.rober@epa.gov). Format: The dataset was sent to us by the company (Metabolon) that did the metabolite analysis, including the statistical analysis). It is an excel spreadsheet that contains a row for each of the metabolites that were identified, fold changes in each metabolite after air and ozone exposure (and the p value of the ozone-induced change), and the pathway and superpathway to which each metabolite belongs. This dataset is associated with the following publication: Cheng, W., K. Duncan, A. Ghio, C. Ward-Caviness, E. Karoly, D. Diaz-Sanchez, R. Conolly, and R. Devlin. Changes in metabolites present in lung-lining fluid following exposure to humans to ozone. TOXICOLOGICAL SCIENCES. Society of Toxicology, RESTON, VA, 163(2): 430-439, (2018).

The data contains location information, DNA methylation (transformed into epigenetic aging biomakers), dates of examination, demographics, disease diagnoses, and traffic-related air pollution exposures. It is stored as a series of data frames suitable for use in the R programming language. This dataset is not publicly accessible because: EPA cannot release personally identifiable information regarding living individuals, according to the Privacy Act and the Freedom of Information Act (FOIA). This dataset contains information about human research subjects. Because there is potential to identify individual participants and disclose personal information, either alone or in combination with other datasets, individual level data are not appropriate to post for public access. Restricted access may be granted to authorized persons by contacting the party listed. It can be accessed through the following means: This data can be accessed by contacting Dr. Cavin Ward-Caviness and describing your needs for the analysis, completing the necessary ethics trainings, and gaining approval on the appropriate IRB applications as well as by the CATHGEN Steering Committee. Format: The data contains location information, DNA methylation (transformed into epigenetic aging biomakers), dates of examination, demographics, disease diagnoses, and traffic-related air pollution exposures. It is stored as a series of data frames suitable for use in the R programming language. This dataset is associated with the following publication: Ward-Caviness, C., A. Russell, A. Weaver, E. Slawsky, R. Dhingra, L. Coulter Kwee, R. Jiang, L. Neas, D. Diaz-Sanchez, R. Devlin, W. Cascio, E. Hauser, S. Shah, W. Kraus, and K. Olden. Accelerated epigenetic age as a biomarker of cardiovascular sensitivity to traffic-related air pollution. Aging. Impact Journals, LLC, Orchard Park, NY, USA, 12(23): 24141-24155, (2020).

The data contains location information, DNA methylation (transformed into epigenetic aging biomakers), dates of examination, demographics, disease diagnoses, and traffic-related air pollution exposures. It is stored as a series of data frames suitable for use in the R programming language. This dataset is not publicly accessible because: EPA cannot release personally identifiable information regarding living individuals, according to the Privacy Act and the Freedom of Information Act (FOIA). This dataset contains information about human research subjects. Because there is potential to identify individual participants and disclose personal information, either alone or in combination with other datasets, individual level data are not appropriate to post for public access. Restricted access may be granted to authorized persons by contacting the party listed. It can be accessed through the following means: This data can be accessed by contacting Dr. Cavin Ward-Caviness and describing your needs for the analysis, completing the necessary ethics trainings, and gaining approval on the appropriate IRB applications as well as by the CATHGEN Steering Committee. Format: The data contains location information, DNA methylation (transformed into epigenetic aging biomakers), dates of examination, demographics, disease diagnoses, and traffic-related air pollution exposures. It is stored as a series of data frames suitable for use in the R programming language. This dataset is associated with the following publication: Ward-Caviness, C., A. Russell, A. Weaver, E. Slawsky, R. Dhingra, L. Coulter Kwee, R. Jiang, L. Neas, D. Diaz-Sanchez, R. Devlin, W. Cascio, E. Hauser, S. Shah, W. Kraus, and K. Olden. Accelerated epigenetic age as a biomarker of cardiovascular sensitivity to traffic-related air pollution. Aging. Impact Journals, LLC, Orchard Park, NY, USA, 12(23): 24141-24155, (2020).

This dataset contains data from the LAMARCK controlled exposure study including DNA methylation assessments done before and 24 hours after each exposure, subclinical health outcomes measures, exposure details, and demographic information on the individual participants in the study. This dataset is not publicly accessible because: EPA cannot release personally identifiable information regarding living individuals, according to the Privacy Act and the Freedom of Information Act (FOIA). This dataset contains information about human research subjects. Because there is potential to identify individual participants and disclose personal information, either alone or in combination with other datasets, individual level data are not appropriate to post for public access. Restricted access may be granted to authorized persons by contacting the party listed. It can be accessed through the following means: The dataset can be accessed by contacting Dr. Cavin Ward-Caviness (ward-caviness.cavin@epa.gov). Format: The data is tabular data containing information on DNA methylation assessment, lung function, inflammation, controlled exposure conditions, and demographics of the LAMARCK participants. DNA methylation age has also been calculated based on the DNA methylation assessment data. This dataset is associated with the following publication: Weston, W., M. Bind, W. Cascio, R. Devlin, D. Diaz Sanchez, and C. Ward-Caviness. Accelerated aging and altered sub-clinical response to ozone exposure in young, healthy adults. Environmental Epigenetics. Oxford University Press, Cary, NC, USA, 10(1): dvae007, (2024).

This dataset contains data from the LAMARCK controlled exposure study including DNA methylation assessments done before and 24 hours after each exposure, subclinical health outcomes measures, exposure details, and demographic information on the individual participants in the study. This dataset is not publicly accessible because: EPA cannot release personally identifiable information regarding living individuals, according to the Privacy Act and the Freedom of Information Act (FOIA). This dataset contains information about human research subjects. Because there is potential to identify individual participants and disclose personal information, either alone or in combination with other datasets, individual level data are not appropriate to post for public access. Restricted access may be granted to authorized persons by contacting the party listed. It can be accessed through the following means: The dataset can be accessed by contacting Dr. Cavin Ward-Caviness (ward-caviness.cavin@epa.gov). Format: The data is tabular data containing information on DNA methylation assessment, controlled exposure conditions, and demographics of the LAMARCK participants. DNA methylation age has also been calculated based on the DNA methylation assessment data. This dataset is associated with the following publication: Nwanaji-Enwerem, J., A. Bozack, C. Ward-Caviness, D. Diazsanchez, R. Devlin, M. Bind, and A. Cardenas. Bronchial Cell Epigenetic Aging in a Human Experimental Study of Short-term Diesel and Ozone Exposures. Environmental Epigenetics. Oxford University Press, Cary, NC, USA, 10(1): dvae017, (2024).

Population exposures to ozone from APEX modeling for combinations of potential future air quality and demographic change scenarios. This dataset is not publicly accessible because: Total file size is too large (73 GB) to be included in ScienceHub. It can be accessed through the following means: data files are stored at L:\PRIV\DIONISIO\ACE118\APEXFiles\RCode\Rfiles. Format: 73 GB, 2,300 files (saved as .rsav R data files). This dataset is associated with the following publication: Dionisio, K., C. Nolte, T. Spero, S. Graham, N. Caraway, K. Foley, and K. Isaacs. Characterizing the impact of projected changes in climate and air quality on human exposures to ozone. Journal of Exposure Science and Environmental Epidemiology. Nature Publishing Group, London, UK, 27(3): 260-270, (2017).

Population exposures to ozone from APEX modeling for combinations of potential future air quality and demographic change scenarios. This dataset is not publicly accessible because: Total file size is too large (73 GB) to be included in ScienceHub. It can be accessed through the following means: data files are stored at L:\PRIV\DIONISIO\ACE118\APEXFiles\RCode\Rfiles. Format: 73 GB, 2,300 files (saved as .rsav R data files). This dataset is associated with the following publication: Dionisio, K., C. Nolte, T. Spero, S. Graham, N. Caraway, K. Foley, and K. Isaacs. Characterizing the impact of projected changes in climate and air quality on human exposures to ozone. Journal of Exposure Science and Environmental Epidemiology. Nature Publishing Group, London, UK, 27(3): 260-270, (2017).

Pulmonary gene expression related to the regulation of DNA methylation following an exposure to ozone in rats. Epigenetic regulation of a pulmonary hypertensive gene, apelin, was also quantified. This dataset is associated with the following publication: Miller, C., J. Dye, M. Schladweiler, J. Richards, A. Ledbetter, E. Stewart, and U. Kodavanti. Acute inhalation of ozone induces DNA methylation of apelin in lungs of Long-Evans rats.. INHALATION TOXICOLOGY. Taylor & Francis, Inc., Philadelphia, PA, USA, 30(4): 178-186, (2018).