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).

This ZIP file contains the four EPANET network models used for one of the two water distribution system (WDS) network models (N1) analyzed in the paper titled: “The effect of a loss of model structural detail due to network skeletonization on contamination warning system design: case studies”. The EPANET network models provided here are for the network model named “N1” in this paper. This dataset is associated with the following publication: Janke , R., and M. Davis. The effect of a loss of model structural detail due to network skeletonization on contamination warning system design: case studies. Drinking Water Engineering and Science Discussions. Copernicus Gesellschaft mbH, Gottingen, GERMANY, 1-25, (2018).

This ZIP file contains the four EPANET network models used for one of the two water distribution system (WDS) network models (N1) analyzed in the paper titled: “The effect of a loss of model structural detail due to network skeletonization on contamination warning system design: case studies”. The EPANET network models provided here are for the network model named “N1” in this paper. This dataset is associated with the following publication: Janke , R., and M. Davis. The effect of a loss of model structural detail due to network skeletonization on contamination warning system design: case studies. Drinking Water Engineering and Science Discussions. Copernicus Gesellschaft mbH, Gottingen, GERMANY, 1-25, (2018).

Supplementary information and tables for "Isaacs, K.K., Wall, J.T., Paul Friedman, K. et al. Screening for drinking water contaminants of concern using an automated exposure-focused workflow. J Expo Sci Environ Epidemiol (2023). https://doi.org/10.1038/s41370-023-00552-y". This dataset is associated with the following publication: Isaacs, K., T. Wall, K. Paul-Friedman, J. Franzosa, H. Goeden, A. Williams, K. Dionisio, J. Lambert, M. Linnenbrink, A. Singh, J. Wambaugh, A. Bogdan, and C. Greene. Screening for drinking water contaminants of concern using an automated exposure-focused workflow. Journal of Exposure Science and Environmental Epidemiology. Nature Publishing Group, London, UK, 34: 136-147, (2024).

The dataset summarizes the results of sampling campaigns at the Massachusetts Alternative Septic System Technology Center.

An effort was made to derive new inhalation TTC values using the EPA’s Toxicity Values database, ToxValDB. A total of 4703 substances captured in ToxValDB were assigned into their respective TTC categories using the Kroes module within the Toxtree software tool and custom profilers developed in Nelms et al (2019) and Patlewicz et al (2018). For the substances assigned into the 3 Cramer classes, the 5th percentiles were calculated from the empirical cumulative distributions of No observed (adverse) effect level (concentration) values. The 5th percentiles were converted to their respective TTC values and compared with published values reported by Escher et al (2010) and Carthew et al (2009). The TTC values derived from ToxValDB were orders of magnitude more conservative, further Cramer classification was not found to be effective at discriminating potencies. This dataset is associated with the following publication: Nelms, M., and G. Patlewicz. Derivation of New Threshold of Toxicological Concern Values for Exposure via Inhalation for Environmentally-Relevant Chemicals. Frontiers in Toxicology. Frontiers, Lausanne, SWITZERLAND, 2: 580347, (2020).

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

We used exposure data collected for a previous study of DBPs to evaluate how different sources of information impact trihalomethane (THM) exposure estimates, Specifically, we compared gestational exposure estimates to THMs based on water utility monitoring data alone, statistical imputation of daily concentrations to incorporate temporal variability, and personal water consumption and use (bathing and showering). We used Spearman correlation coefficients and ranked kappa statistics to compare exposure classifications. 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: Luben, T., R. Shaffer, E. Kenyon, W. Nembhard, K. Weber, J. Nuckols, and J. Wright. Comparison of trihalomethane exposure assessment metrics in epidemiologic analyses of reproductive and developmental outcomes. Journal of Exposure Science and Environmental Epidemiology. Nature Publishing Group, London, UK, 34: 115-125, (2024).