These are the data for the figures in the manuscript. This dataset is associated with the following publication: Corteselli, E., A. Gold, J. Surratt, T. Cui, P. Bromberg, L. Dailey, and J. Samet. Supplementation with Omega-3 Fatty Acids Potentiates Oxidative Stress in Human Airway Epithelial Cells Exposed to Ozone. ENVIRONMENTAL RESEARCH. Elsevier B.V., Amsterdam, NETHERLANDS, 187: 109627, (2020).

All relevant data are within the manuscript, its Supporting Information files, and the httk R software package v1.9.2. This dataset is associated with the following publication: Honda, G., R. Pearce, L. Pham, R. Setzer, B. Wetmore, N. Sipes, J. Gilbert, B. Franz, R. Thomas, and J. Wambaugh. Using the Concordance of In Vitro and In Vivo Data to Evaluate Extrapolation Assumptions. PLoS ONE. Public Library of Science, San Francisco, CA, USA, 14(5): 1-33, (2019).

The excel spreadsheet includes sample IDs and labeling information for DNA sequencing raw data. In addition, DNA concentrations for all the biofilm samples analyzed are presented. This dataset is associated with the following publication: Li, L., Y. Jeon, S. Lee, H. Ryu, J. Santodomingo, and Y. Seo. Dynamics of the Physiochemical and Community Structures of Biofilms under the Influence of Algal Organic Matter and Humic Substances. WATER RESEARCH. Elsevier Science Ltd, New York, NY, USA, 158: 136-145, (2019).

measured air pollution exposure metrics. This dataset is associated with the following publication: Breen , M., T. Long , B. Schultz, R. Williams , J. Richmond-Bryant , M. Breen, J. Langstaff , R. Devlin , A. Schneider, J. Burke , S.A. Batterman, and Q.Y. Meng. Air Pollution Exposure Model for Individuals (EMI) in Health Studies: Evaluation for Ambient PM2.5 in Central North Carolina. ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA, 49(24): 14184-14194, (2015).

Metadata for figures presented in manuscript reporting bioenergetic effects of exposure to environmentally relevant organic compound in human airway epithelial cells. This dataset is associated with the following publication: Lavrich, K., E. Corteselli, P. Wages, P. Bromberg, S. Simmons, E. Gibbs-Flournoy, and J. Samet. Investigating Mitochondrial Dysfunction in Human Lung Cells Exposed to Redox-Active PM Components. TOXICOLOGY AND APPLIED PHARMACOLOGY. Academic Press Incorporated, Orlando, FL, USA, 342: 99-107, (2018).

input data for air pollution exposure models. This dataset is associated with the following publication: Breen, M., S.Y. Chang, M. Breen, Y. Xu, V. Isakov, S. Arunachalam, M.S. Carraway, and R. Devlin. Fine-Scale Modeling of Individual Exposures to Ambient PM2.5, EC, NOx, CO for the Coronary Artery Disease and Environmental Exposure (CADEE) Study. ATMOSPHERE. MDPI AG, Basel, SWITZERLAND, 11(1): 65, (2020).

The data are described in detail in the uploaded file "Science hub metadata.docx". This dataset is associated with the following publication: Zhang, Y., J. Bash, S. Roselle, A. Shatas, A. Repinsky, R. Mathur, C. Hogrefe, J. Piziali, T. Jacobs, and A. Gilliland. Unexpected air quality impacts from implementation of green infrastructure in urban environments: a Kansas City Case Study. ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA, 744(20): 140960, (2020).

The data includes measured data from Ecoregions 69 and 70 in West Virginia. Paired biological and chemical grab samples are included. These data were used to estimate SC extirpation concentration (XC95) for benthic invertebrate genera. Also included are cumulative frequency distribution plots, scatter plots fitted with generalized additive models, and biogeographical maps of observations of each genus. The metadata and full data set is available in Supplemental Appendices S4 and S5, respectively. The output of 176 XC95 values from Ecoregions 69 and 70 are provided in Supplemental Appendix S6. Supplemental Appendix S7 depicts the probability of observing a genus for discrete ranges of SC. Supplemental Appendix S8 depicts the proportion of occurrence of a genus for discrete ranges of SC. Supplemental Appendix S9 shows the biogeographic distributions of the genera included in the data set. We also discuss limitations of this method to help avoid misinterpretations and inferential errors. A data dictionary is provided in Cond_DataFileColumnMetada-20161221. This dataset is associated with the following publication: Cormier, S., L. Zheng, E. Leppo, and A. Hamilton. Step-by-Step Calculation and Spreadsheet Tools for Predicting Stressor Levels that Extirpate Genera and Species. Integrated Environmental Assessment and Management. Allen Press, Inc., Lawrence, KS, USA, 14(2): 174-180, (2018).

The current data set provides all of the data that was used to generate the figures produced in the manuscript. This dataset is associated with the following publication: Clar, J.G., W. Platten III, E. Baumann, A. Remsen, S.M. Harmon, K. Rogers, T.A. Thomas, J. Matheson, and T.P. Luxton. Release and transformation of ZnO nanoparticles used in outdoor surface coatings for UV protection. SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM, NETHERLANDS, 670: 78-86, (2019).

An Excel file including: raw data, data dictionary, and all final data sets. A PDF containing detailed equations for calculating the daily dose using the creatinine correction and UFR, figures comparing the HI between the creatinine correction and UFR, figures and tables comparing temporal trends in the MCR between the HI and potency-weighted approach, tables describing frequency of participants by cycle, temporal limit of detection by metabolite, tolerable daily intakes by phthalate, Group designation of the MCR, complete regression equations used in the regression analysis, comparison of Group counts by creatinine correction and UFR, and relative potency factors by phthalate. This dataset is associated with the following publication: Reyes, J., and P. Price. Temporal Trends in Exposures to Six Phthalates from Biomonitoring Data: Implications for Cumulative Risk. ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA, 52(21): 12475-12483, (2018).