Datasets will not be made accessible to the public due to the fact that they include household level data with PII. 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: Datasets will not be made accessible to the public due to the fact that they include household level data with PII. Format: Datasets will not be made accessible to the public due to the fact that they include household level data with PII. This dataset is associated with the following publication: Fulk , F., E. Haynes, T. Hilbert, D. Brown, D. Petersen , and T. Reponen. Comparison of stationary and personal air sampling with an air dispersion model for children’s ambient exposure to manganese. Journal of Exposure Science and Environmental Epidemiology. Nature Publishing Group, London, UK, online, (2016).

Data consist of transcripts from facilitated focus group discussions and contain PII. 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: It can be accessed by authorized persons by reaching out to contact point. Format: These are focus group discussion transcripts. Data contain PII. This dataset is associated with the following publication: Hano, M., C. Baghdikian, S. Prince, E. Lazzarino, B. Hubbell, E. Sams, S. Stone, A. Davis, and W. Cascio. Illuminating Stakeholder Perspectives at the Intersection of Air Quality Health Risk Communication and Cardiac Rehabilitation. International Journal of Environmental Research and Public Health. Molecular Diversity Preservation International, Basel, SWITZERLAND, 16(19): 3603, (2019).

This dataset contains a summary of compounds found in human urine samples. 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 original dataset contains identification information for the sample subjects and all of their descriptors including age, gender, race, and medical screening information. The analyzed data cannot be made publicly available. Format: This dataset contains a summary of compounds found in human urine samples. This dataset is associated with the following publication: O’Lenick, C., J. Pleil, M. Stiegel, J. Sobus, and A. Wallace. Detection and analysis of endogenous polar volatile organic compounds (PVOCs) in urine for human exposome research. BIOMARKERS. Taylor & Francis, Inc., Philadelphia, PA, USA, 24(3): 240-248, (2019).

Epidemiological data from the NEEAR Water 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: Request from Tim Wade- wade.tim@epa.gov. Format: Data are stored in comma-delimited databases. This dataset is associated with the following publications: Wade, T., S. Augustine, S. Griffin, E. Sams, K. Oshima, A. Egorov, K. Simmons, T. Eason, and A. Dufour. Asymptomatic norovirus infection associated with swimming at a tropical beach: A prospective cohort study. PLoS ONE. Public Library of Science, San Francisco, CA, USA, 13(3): e0195056, (2018). Deflorio-Barker, S., B. Arnold, E. Sams, A. Dufour, J. Colford, S. Weisberg, K. Schiff, and T. Wade. Child environmental exposures to water and sand at the beach: Findings from studies of over 60,000 subjects at 12 beaches. Journal of Exposure Science and Environmental Epidemiology. Nature Publishing Group, London, UK, 28(2): 93-100, (2018).

We include a description of the data sets in the meta-data as well as sample code and results from a simulated data set. 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 R code is available on line here: https://github.com/warrenjl/SpGPCW. Format: Abstract The data used in the application section of the manuscript consist of geocoded birth records from the North Carolina State Center for Health Statistics, 2005-2008. In the simulation study section of the manuscript, we simulate synthetic data that closely match some of the key features of the birth certificate data while maintaining confidentiality of any actual pregnant women. Availability Due to the highly sensitive and identifying information contained in the birth certificate data (including latitude/longitude and address of residence at delivery), we are unable to make the data from the application section publicly available. However, we will make one of the simulated datasets available for any reader interested in applying the method to realistic simulated birth records data. This will also allow the user to become familiar with the required inputs of the model, how the data should be structured, and what type of output is obtained. While we cannot provide the application data here, access to the North Carolina birth records can be requested through the North Carolina State Center for Health Statistics and requires an appropriate data use agreement. Description Permissions: These are simulated data without any identifying information or informative birth-level covariates. We also standardize the pollution exposures on each week by subtracting off the median exposure amount on a given week and dividing by the interquartile range (IQR) (as in the actual application to the true NC birth records data). The dataset that we provide includes weekly average pregnancy exposures that have already been standardized in this way while the medians and IQRs are not given. This further protects identifiability of the spatial locations used in the analysis. File format: R workspace file. Metadata (including data dictionary) • y: Vector of binary responses (1: preterm birth, 0: control) • x: Matrix of covariates; one row for each simulated individual • z: Matrix of standardized pollution exposures • n: Number of simulated individuals • m: Number of exposure time periods (e.g., weeks of pregnancy) • p: Number of columns in the covariate design matrix • alpha_true: Vector of “true” critical window locations/magnitudes (i.e., the ground truth that we want to estimate). This dataset is associated with the following publication: Warren, J., W. Kong, T. Luben, and H. Chang. Critical Window Variable Selection: Estimating the Impact of Air Pollution on Very Preterm Birth. Biostatistics. Oxford University Press, OXFORD, UK, 1-30, (2019).

SWMM 5.0 input file. 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 is unable to be accessed outside of the project team due to containing sensitive information. Format: EPA SWMM 5.0 input file. This dataset is associated with the following publication: Shireman, J., K. Ratliff, and A. Mikelonis. Modeling radionuclide transport in urban overland flow: A case study. Urban Water Journal. Taylor & Francis Group, London, UK, 18(7): 12, (2021).

N/A. 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 data contain PII/CUI. However, all the raw food data (stripped of identifiers) used in this manuscript has been provided in a table, so the public can have access to all these data via a future open-access article. Format: N/A. This dataset is associated with the following publication: Morgan, M., D. MacMillan, D. Zehr, and J. Sobus. Pyrethroid insecticides and their environmental degradates in repeated duplicate-diet solid food samples of 50 adults. Journal of Exposure Science and Environmental Epidemiology. Nature Publishing Group, London, UK, 28: 40-45, (2018).

soil element total concentration, soil pH and arsenic bioaccessibility values. 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 public can access the non personally identifiable data through the journal publisher if they have a subscription or other means to access journal articles from this publisher (Journal of Toxicology and Environmental Health). They can not access the personally identifiable/protected info. Format: These data were generated from EPA Regional samples. This dataset is associated with the following publication: Nelson, C., K. Li, D. Obenour, J. Miller, J. Misenheimer, K. Scheckel, A. Betts, A. Juhasz, D. Thomas, and K. Bradham. Relating soil geochemical properties to arsenic bioaccessibility through hierarchical modeling.. JOURNAL OF TOXICOLOGY AND ENVIRONMENTAL HEALTH - PART A: CURRENT ISSUES. Taylor & Francis, Inc., Philadelphia, PA, USA, 81(6): 160-172, (2018).