Datasets for PUC paper 09182018

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Datasets associated with the publication "Establishing a System of Consumer Products Categories to Support Rapid Modeling of Human Exposure". This dataset is associated with the following publication: Isaacs, K., K. Dionisio, K. Phillips, C. Bevington, P. Egeghy, and P. Price. Establishing a system of consumer product use categories to support rapid modeling of human exposure. Journal of Exposure Science and Environmental Epidemiology. Nature Publishing Group, London, UK, 30: 171-183, (2020).

CES EHP Figure 2

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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).

Exploring Global Exposure Factors Resources URLs

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The dataset is a compilation of hyperlinks (URLs) for resources (databases, compendia, published articles, etc.) useful for exposure assessment specific to consumer product use. This dataset is associated with the following publication: Zaleski, R., P. Egeghy, and P. Hakkinen. Exploring Global Exposure Factors Resources for Use in Consumer Exposure Assessments. International Journal of Environmental Research and Public Health. Molecular Diversity Preservation International, Basel, SWITZERLAND, 13(7): 744, (2016).

CPDat 2017

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This dataset represents quantitative data on product chemical composition for >75,000 chemicals contained in >15,000 consumer products. The dataset provided at the FigShare link is fully described in the associated Scientific Data publication (Dionisio et al.). The dataset is presented in the form of a MySQL relational database, which mimics CPDat data available under the 'Exposure' tab of the CompTox Chemistry Dashboard (https://comptox.epa.gov/dashboard). This dataset is associated with the following publication: Dionisio, K., K. Phillips, P. Price, C. Grulke, A. Williams, D. Biryol, T. Hong, and K. Isaacs. The Chemical and Products Database, a resource for exposure-relevant data on chemicals in consumer products. Scientific Data. Springer Nature Group, New York, NY, 5: 180125, (2018).

CPDat 2017

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This dataset represents quantitative data on product chemical composition for >75,000 chemicals contained in >15,000 consumer products. The dataset provided at the FigShare link is fully described in the associated Scientific Data publication (Dionisio et al.). The dataset is presented in the form of a MySQL relational database, which mimics CPDat data available under the 'Exposure' tab of the CompTox Chemistry Dashboard (https://comptox.epa.gov/dashboard). This dataset is associated with the following publication: Dionisio, K., K. Phillips, P. Price, C. Grulke, A. Williams, D. Biryol, T. Hong, and K. Isaacs. The Chemical and Products Database, a resource for exposure-relevant data on chemicals in consumer products. Scientific Data. Springer Nature Group, New York, NY, 5: 180125, (2018).

Literature data for Assessing Human Exposure to Chemicals in Materials, Products and Articles

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It is literature data. This dataset is not publicly accessible because: The data was not generated by EPA. It can be accessed through the following means: Link will be available when it is published in peer reviewed journal. Format: The review paper only included published literature data. This dataset is associated with the following publication: Eichler, C., Y. Xu, J. Cao, C. Weschler, T. Salthammer, G. Morrison, Y. Zhang, C. Mandin, W. Wei, P. Blondeau, D. Poppendieck, E. Cohen-Hubal, X. Liu, C. Delmaar, A.J. Koivisto, O. Jolliet, H. Shin, M. Diamond, C. Bi, and J. Little. Assessing Human Exposure to Chemicals in Materials, Products and Articles:A Modular Mechanistic Framework. ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA, NA, (2020).

The chemical landscape of high-throughput new approach methodologies for exposure

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Data for the publication Isaacs, K.K., Egeghy, P., Dionisio, K.L. et al. The chemical landscape of high-throughput new approach methodologies for exposure. J Expo Sci Environ Epidemiol (2022). https://doi.org/10.1038/s41370-022-00496-9. This dataset is associated with the following publication: Isaacs, K., P. Egeghy, K. Dionisio, K. Phillips, A. Zidek, C. Ring, J. Sobus, E. Ulrich, B. Wetmore, A. Williams, and J. Wambaugh. The chemical landscape of high-throughput new approach methodologies for exposure. Journal of Exposure Science and Environmental Epidemiology. Nature Publishing Group, London, UK, 32: 820-832, (2022).

Literature-curated data involved in development of an Aggregate Exposure Pathway for the plasticizer di-ehtylhexyl phthalate

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This dataset describes concentrations of DEHP in numerous types of environmental, biological, and manufactured media, along with rates of transformation and transportation. The references used to obtain this information, along with their authors, locations of study, and year of study, are also available. This dataset is associated with the following publication: Clewell, R., J. Leonard, C. Nicolas, J. Cambpell, M. Yoon, A. Efremenko, P. McMullen, M. Andersen, H. Clewell, K. Phillips, and C. Tan. Application of a combined aggregate exposure pathway and adverse outcome pathway (AEP-AOP) approach to inform a cumulative risk assessment: A case study with phthalates. TOXICOLOGY IN VITRO. Elsevier Science Ltd, New York, NY, USA, 66: 104855, (2020).

Data for Turley et al. "Applying the RISK21 approach to assess predictivity of new approach methodologies..."

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Data for publication Turley et al. "Applying the RISK21 approach to assess predictivity of new approach methodologies in toxicity testing and exposure assessment: a case study on food contact chemicals". Includes food concentration predictions from the model of Biryol et al. (2017) and SHEDS-HT exposure predictions. This dataset is associated with the following publication: Turley, A., K. Isaacs, B. Wetmore, A. Karmaus, M. Embry, and M. Krishan. Incorporating new approach methodologies in toxicity testing and exposure assessment for tiered risk assessment using the RISK21 approach: Case studies on food contact chemicals. FOOD AND CHEMICAL TOXICOLOGY. Elsevier Science Ltd, New York, NY, USA, 134: 110819, (2019).

Chemical product and function dataset

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Merged product weight fraction and chemical function data. This dataset is associated with the following publication: Isaacs , K., M. Goldsmith, P. Egeghy , K. Phillips, R. Brooks, T. Hong, and J. Wambaugh. Characterization and prediction of chemical functions and weight fractions in consumer products. Toxicology Reports. Elsevier B.V., Amsterdam, NETHERLANDS, 3: 723-732, (2016).