N/A. This dataset is associated with the following publication: Groff, L., J. Grossman, A. Kruve, J. Minucci, C. Lowe, J. McCord, D. Kapraun, K. Phillips, S. Purucker, A. Chao, C. Ring, A. Williams, and J. Sobus. Uncertainty estimation strategies for quantitative non-targeted analysis. Analytical and Bioanalytical Chemistry. Springer, New York, NY, USA, 414(17): 4919-4933, (2022).

A publised mansucript describing a quantitative adverse outcome pathway (qAOP) and its relevance to risk assessment. This dataset is not publicly accessible because: This work describes computational modeling, not acquisition of laboratory data. It can be accessed through the following means: The mansucript is published in Environmental Science and Technology. Format: This ScienceHub entry is associated with the published manuscript: Quantitative Adverse Outcome Pathways and Their Application to Predictive Toxicology Rory B. Conolly,*,† Gerald T. Ankley,‡ WanYun Cheng,† Michael L. Mayo,§ David H. Miller,∥ Edward J. Perkins,§ Daniel L. Villeneuve,‡ and Karen H. Watanabe⊥ †U.S. Environmental Protection Agency, Office of Research and Development, National Health and Environmental Effects Research Laboratory, Integrated Systems Toxicology Division, Research Triangle Park, North Carolina 27709, United States ‡U.S. Environmental Protection Agency, Office of Research and Development, National Health and Environmental Effects Research Laboratory, Mid-Continent Ecology Division, Duluth, Minnesota 55804, United States §Environmental Laboratory, U.S. Army Engineer Research and Development Center, Vicksburg, Mississippi 39180, United States ∥U.S. Environmental Protection Agency, Office of Research and Development, National Health and Environmental Effects Research Laboratory, Mid-Continent Ecology Division, Grosse Isle, Michigan 48138, United States ⊥School of Mathematical and Natural Sciences, Arizona State University, West Campus, Glendale, Arizona 85306, United States DOI: 10.1021/acs.est.6b06230 Environ. Sci. Technol. 2017, 51, 4661−4672. This dataset is associated with the following publication: Conolly, R., G. Ankley, W. Cheng, M. Mayo, D. Miller, E. Perkins, D. Villeneuve, and K. Watanabe. Quantitative Adverse Outcome Pathways and Their Application to Predictive Toxicology. ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA, 51(8): 4661-4672, (2017).

Dataset for "Nicolas Chantel I., Linakis Matthew W., Minto Melyssa S., Mansouri Kamel, Clewell Rebecca A., Yoon Miyoung, Wambaugh John F., Patlewicz Grace, McMullen Patrick D., Andersen Melvin E., Clewell III Harvey J, Estimating provisional margins of exposure for data-poor chemicals using high-throughput computational methods, Frontiers in Pharmacology, 13, 2022, https://www.frontiersin.org/articles/10.3389/fphar.2022.980747,10.3389/fphar.2022.980747"

John T. Sloop, Alex Chao, Jennifer Gundersen, Allison L. Phillips, Jon R. Sobus, Elin M. Ulrich, Antony J. Williams, and Seth R. Newton, Environmental Science & Technology 2023 57 (8), 3075-3084, DOI: 10.1021/acs.est.2c06804. This dataset is associated with the following publication: Sloop, J., A. Chao, J. Gundersen, A. Flynn, J. Sobus, E. Ulrich, A. Williams, and S. Newton. Demonstrating the Use of Non-targeted Analysis for Identification of Unknown Chemicals in Rapid Response Scenarios. ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA, 57(8): 3075-3084, (2023).

The increasing number of chemicals for which SHEDS probabilistic exposure assessment has been performed over the years. This dataset is associated with the following publication: Egeghy , P., L. Sheldon, K. Isaacs , H. Ozkaynak, M. Goldsmith, J. Wambaugh , R. Judson , and T. Buckley. Computational Exposure Science: An Emerging Discipline to Support 21st-Century Risk Assessment. ENVIRONMENTAL HEALTH PERSPECTIVES. National Institute of Environmental Health Sciences (NIEHS), Research Triangle Park, NC, USA, 124(6): 697–702, (2016).

An elicitation with 32 experts informed relative prioritization of risks from chemical properties and human use factors for consumer product-related chemicals. Three different versions of the model were evaluated using distinct weight profiles. This dataset is associated with the following publication: Wood, M., K. Plourde, S. Larkin, P. Egeghy, A. Williams, V. Zemba, I. Linkov, and D. Vallero. Advances on a Decision Analytic Approach to Exposure‐Based Chemical Prioritization. RISK ANALYSIS. Blackwell Publishing, Malden, MA, USA, 40(1): 83-96, (2020).

We created a consensus, meta-model using the Systematic Empirical Evaluation of Models framework in which the predictors of exposure were combined by pathway and weighted according to predictive ability for chemical intake rates inferred from human biomonitoring data for 114 chemicals. This dataset is associated with the following publication: Ring, C., J. Arnot, D. Bennett, P. Egeghy, P. Fantke, L. Huang, K. Isaacs, O. Jolliet, K. Phillips, P. Price, H. Shin, J. Westgate, R. Setzer, and J. Wambaugh. Consensus Modeling of Median Chemical Intake for the U.S. Population Based on Predictions of Exposure Pathways. ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA, 53(2): 719-732, (2019).

This the raw data that the manuscript: Fluctuating Emissions and Availability of Health Reference Values: Implications for Estimating Acute Exposure and Health Risk is based on. This dataset is associated with the following publication: Stewart, M., J. Hirtz, G. Woodall, C. Weitekamp, and K. Spence. A Comparison of Hourly with Annual Air Pollutant Emissions: Implications for Estimating Acute Exposure and Public Health Risk. JOURNAL OF THE AIR & WASTE MANAGEMENT ASSOCIATION. Air & Waste Management Association, Pittsburgh, PA, USA, 69(7): 848-856, (2019).

This the raw data that the manuscript: Fluctuating Emissions and Availability of Health Reference Values: Implications for Estimating Acute Exposure and Health Risk is based on. This dataset is associated with the following publication: Stewart, M., J. Hirtz, G. Woodall, C. Weitekamp, and K. Spence. A Comparison of Hourly with Annual Air Pollutant Emissions: Implications for Estimating Acute Exposure and Public Health Risk. JOURNAL OF THE AIR & WASTE MANAGEMENT ASSOCIATION. Air & Waste Management Association, Pittsburgh, PA, USA, 69(7): 848-856, (2019).