Dataset summarizes the results of a study to examine de facto reuse of contaminants of emerging concern

S1. Additional details on model input data, parameter estimation, and model development (PDF) S2. Model input data and supplemental results (XLSX) S3. Model parameters assembled for the study (XLSX) Link: The portable workflow developed for this work. This dataset is associated with the following publication: Dawson, D., H. Fisher, A. Noble, Q. Meng, A. Doherty, Y. Sakano, D. Vallero, R. Tornero-Velez, and E. Cohen-Hubal. Assessment of Non-Occupational 1,4-Dioxane Exposure Pathways from Drinking Water and Product Use. ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA, 56(8): 5266-5275, (2022).

S1. Additional details on model input data, parameter estimation, and model development (PDF) S2. Model input data and supplemental results (XLSX) S3. Model parameters assembled for the study (XLSX) Link: The portable workflow developed for this work. This dataset is associated with the following publication: Dawson, D., H. Fisher, A. Noble, Q. Meng, A. Doherty, Y. Sakano, D. Vallero, R. Tornero-Velez, and E. Cohen-Hubal. Assessment of Non-Occupational 1,4-Dioxane Exposure Pathways from Drinking Water and Product Use. ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA, 56(8): 5266-5275, (2022).

We used data from CDC's National Birth Defect Prevention Study, the largest case-control study of birth defects ever conducted. Data were collected for cases and controls via a computer-assisted telephone information, and included information related to demographics, pre-existing health conditions, medication use, employment/occupation, personal hobbies, diet, and water use. 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 that CDC collects or holds must be available for data sharing within a year after the data are evaluated for quality and shared with any partners in data collection activity. Because NBDPS data contain PII, NBDPS data are not released publicly. Instead, they are available via a special use agreement. Qualified researchers can be granted access to NBDPS data for analysis through collaboration with one of the Centers for Birth Defects Research and Prevention. The procedure for applying for access to NBDPS data can be found on the NBDPS Public Access Procedures web site: https://www.cdc.gov/ncbddd/birthdefects/nbdps-public-access-procedures.html. Format: This research was conducted with data collected by the CDC-sponsored National Birth Defects Prevention Study (NBDPS). These data include birth data and geocoded residential addresses before and during pregnancy. This dataset is associated with the following publication: Zaganjor, I., A. Keil, T. Luben, T. Desrosiers, L. Engel, J. Reefhuis, A. Michalski, P. Langlois, A. Olshan, and N.B.D.P.S. [Corporate Author]. Is maternal employment site a source of exposure misclassification in studies of environmental exposures and birth outcomes? A simulation-based bias analysis of haloacetic acids in tap water and hypospadias.. Environmental Epidemiology. Wolters Kluwer, Alphen aan den Rijn, NETHERLANDS, 6(2): e207, (2022).

Supplementary material for "Characterizing Chemical Exposure Trends from NHANES Urinary Biomonitoring Data". This dataset is associated with the following publication: Stanfield, Z., W. Setzer, V. Hull, R. Sayre, K. Isaacs, and J. Wambaugh. Characterizing Chemical Exposure Trends from NHANES Urinary Biomonitoring Data. ENVIRONMENTAL HEALTH PERSPECTIVES. National Institute of Environmental Health Sciences (NIEHS), Research Triangle Park, NC, USA, 132(1): 017009, (2024).

Underlying modeling outputs used to generate Figures in the manuscript and supplemental figures. This dataset is associated with the following publication: Stanek, L., J. Xue, C. Lay, E. Helm, T. Speth, D. Lytle, M. Schock, and V. Zartarian. Modeled Impacts of Drinking Water Lead Reduction Scenarios on Children’s Exposures and Blood Lead Levels. ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA, 54(15): 9474-9482, (2020).

Underlying modeling outputs used to generate Figures in the manuscript and supplemental figures. This dataset is associated with the following publication: Stanek, L., J. Xue, C. Lay, E. Helm, T. Speth, D. Lytle, M. Schock, and V. Zartarian. Modeled Impacts of Drinking Water Lead Reduction Scenarios on Children’s Exposures and Blood Lead Levels. ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA, 54(15): 9474-9482, (2020).

Data used to create Figure 2 through 9 in the paper. Where appropriate raw data are also included. Each figure is in a separate worksheet. Also included are the daily and running averages of the three 30-year exposure time-series. This dataset is associated with the following publication: Thursby, G., K. Sappington, and M. Etterson. Coupling Toxicokinetic-Toxicodynamic and Population Models for Assessing Aquatic Ecological Risks to Time-Varying Pesticide Exposures. ENVIRONMENTAL TOXICOLOGY AND CHEMISTRY. Society of Environmental Toxicology and Chemistry, Pensacola, FL, USA, 37(10): 2633-2644, (2018).

Data used to create Figure 2 through 9 in the paper. Where appropriate raw data are also included. Each figure is in a separate worksheet. Also included are the daily and running averages of the three 30-year exposure time-series. This dataset is associated with the following publication: Thursby, G., K. Sappington, and M. Etterson. Coupling Toxicokinetic-Toxicodynamic and Population Models for Assessing Aquatic Ecological Risks to Time-Varying Pesticide Exposures. ENVIRONMENTAL TOXICOLOGY AND CHEMISTRY. Society of Environmental Toxicology and Chemistry, Pensacola, FL, USA, 37(10): 2633-2644, (2018).

EPANET network models (inp files) used in paper. The file “cdf2003-12singles.txt” developed using ATUS data, that contains tab-separated values for the starting times and cumulative probabilities plotted in Fig. 2 in supporting design report. There are 101 rows in the file. The first entry in each row is the cumulative probability (0 to 1.0) and the second entry is the corresponding starting time (0.0 to 24.0 hours). The second file (“two events 2003-12.txt”) was developed that contains data for all 36,652 ATUS respondents who reported two grooming events in 2003 to 2012. Results in this file are used in TEVA-SPOT to generate random starting time for individuals who take two showers per day. The file has 36,652 rows and five tab-separated columns. The first column contains the year the data were collected and the second column contains the ATUS identifiers used for the respondents. The third column contains the starting times in hours local time for the first event and the fourth column contains the starting time in hours local time for the second event. The fifth column provides the ATUS weights for the respondents. Weights are needed to compensate for the manner in which sampling and data collection were carried out in ATUS. The Report (EPA/600/R-15/271) documents the design for incorporating the capability for estimating inhalation doses in TEVA-SPOT. This dataset is associated with the following publication: Davis, M., R. Janke , and T. Taxon. Assessing Inhalation Exposures Associated with Contamination Events in Water Distribution Systems. PLoS ONE. Public Library of Science, San Francisco, CA, USA, 1-41, (2016).