Emory University (analyzed the urine samples for pyrethroid metabolites). 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: Contact Researcher. Format: Pyrethroid metabolite concentration data for 50 adults over six-weeks. This dataset is associated with the following publication: Morgan , M., J. Sobus , D.B. Barr, C. Croghan , F. Chen , R. Walker, L. Alston, E. Andersen, and M. Clifton. Temporal variability of pyrethroid metabolite levels in bedtime, morning, and 24-hr urine samples for 50 adults in North Carolina. ENVIRONMENT INTERNATIONAL. Elsevier Science Ltd, New York, NY, USA, 144: 81-91, (2015).

Non-chemical stressors that impact urinary pyrethroid metabolite levels. 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: Data were collected from 50 adults within a 40-mile radius of Chapel Hill NC, thus the combination of data collected could be identified by individual participants or their family or close friends, so data cannot be released to the public ever. Format: Non-chemical stressors that impact urinary pyrethroid metabolite levels. Data were collected from 50 adults within a 40-mile radius of Chapel Hill NC, thus the combination of data collected could be identified by individual participants or their family or close friends, so data cannot be released to the public ever. This dataset is associated with the following publication: Morgan, M., P. Jones, J. Sobus, and D. Boyd Barr. Predictors of Urinary 3-Phenoxybenzoic Acid Levels in 50 North Carolina Adults. International Journal of Environmental Research and Public Health. Molecular Diversity Preservation International, Basel, SWITZERLAND, 13(11): 1172, (2016).

Distribution, variability, and predictors of urinary bisphenol A levels in adults. 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 contains PII and can not be released. Format: Distribution, variability, and predictors of urinary bisphenol A levels in adults. Data were collected from 50 adults within a 40-mile radius of Chapel Hill NC, thus the combination of data collected could be identified by individual participants or their family or close friends, so data cannot be released to the public ever. This dataset is associated with the following publication: Morgan, M., M. Nash, D. Boyd Barr, J. Starr, M. Clifton, and J. Sobus. Distribution, Variability, and Predictors of Urinary Bisphenol-A Levels in 50 North Carolina Adults over a Six-Week Monitoring Period. ENVIRONMENT INTERNATIONAL. Elsevier B.V., Amsterdam, NETHERLANDS, 112: 85-99, (2018).

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).

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).

Bioavailability, Bioaccessibility and speciation data. 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: Karen Bradham bradham.karen@epa.gov or Tyler Sowers sowers.tyler@epa.gov. Format: The data were generated using EPA and HUD samples. All of the soil and dust samples were provided to CEMM for research and methods development based on the agreement that the specific sample identifiers would not be released. The samples identifications for the HUD samples are considered PII and the EPA Regional soils samples are not identified because some of these locations may be in litigation.

US EPA Superfund site soil 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: In the publication and supporting information. Format: These data were generated from US EPA Superfund site soil samples. This dataset is associated with the following publication: Bradham, K., C. Nelson, P. Alava, J. Misenheimer, G. Diamond, W. Thayer, and D. Thomas. Estimating relative bioavailability of soil lead in the mouse. JOURNAL OF TOXICOLOGY AND ENVIRONMENTAL HEALTH - PART A: CURRENT ISSUES. Taylor & Francis, Inc., Philadelphia, PA, USA, 79(24): 1179-1182, (2016).

data includes human health survey data, linked records of chemical measures and measures of water quality. 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: Upon request to Tim Wade (wade.tim@epa.gov). Format: Data are stored in SAS datasets with documented codebooks. This dataset is associated with the following publication: Napier, M., C. Poole, J. Stewart, D. Weber, S. Glassmeyer, D. Kolpin, E. Furlong, A. Dufour, and T. Wade. Exposure to human-associated chemical markers of fecal contamination and self-reported illness among swimmers at recreational beaches. ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA, 52(13): 7513-7523, (2018).

Dietary exposure of adults to phenols. 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: Can contact the PI. Format: Providing only the metadata. This dataset is associated with the following publications: 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). Morgan, M., and M. Clifton. Exposure to Triclosan and Bisphenol Analogues B, F, P, S and Z in Repeated Duplicate-Diet Solid Food Samples of Adults. Toxics. MDPI, Basel, SWITZERLAND, 9(3): 47, (2021).

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).