A harmonized chemical monitoring database for support of exposure assessments

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Datasets for "A harmonized chemical monitoring database for support of exposure assessments". This dataset is associated with the following publication: Isaacs, K., J. Wall, A. Williams, K. Hobbie, J. Sobus, E. Ulrich, D. Lyons, K. Dionisio, A. Williams, C. Grulke, C. Foster, J. McCoy, and C. Bevington. A harmonized chemical monitoring database for support of exposure assessments. Scientific Data. Springer Nature, New York, NY, 9: 314, (2022).

The Chemical and Products Database v4.0, an updated resource supporting chemical exposure evaluations

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Links to data for "The Chemical and Products Database v4.0, an updated resource supporting chemical exposure evaluations". This dataset is associated with the following publication: Handa, S., K. Isaacs, J. Wall, A. Larger, S. Burns, L. Koval, K. Baron-Furuyama, C. Elonen, D. Lyons, K. Dionisio, M.B. Horton, and K. Phillips. The Chemical and Products Database v4.0, an updated resource supporting chemical exposure evaluations. Scientific Data. Springer Nature, LONDON, UK, 12: 950, (2025).

A sensitivity analysis of a human exposure model using the Sobol method

공공데이터포털

Data and code associated with "Langstaff, J., Glen, G., Holder, C. et al. A sensitivity analysis of a human exposure model using the Sobol method. Stoch Environ Res Risk Assess 36, 3945–3960 (2022). https://doi.org/10.1007/s00477-022-02238-7". This dataset is associated with the following publication: Langstaff, J., G. Glen, C. Holder, S. Graham, and K. Isaacs. A sensitivity analysis of a human exposure model using the Sobol method. Stochastic Environmental Research and Risk Assessment. Springer-Verlag, BERLIN-HEIDELBERG, GERMANY, 36: 3945-3960, (2022).

A sensitivity analysis of a human exposure model using the Sobol method

공공데이터포털

Data and code associated with "Langstaff, J., Glen, G., Holder, C. et al. A sensitivity analysis of a human exposure model using the Sobol method. Stoch Environ Res Risk Assess 36, 3945–3960 (2022). https://doi.org/10.1007/s00477-022-02238-7". This dataset is associated with the following publication: Langstaff, J., G. Glen, C. Holder, S. Graham, and K. Isaacs. A sensitivity analysis of a human exposure model using the Sobol method. Stochastic Environmental Research and Risk Assessment. Springer-Verlag, BERLIN-HEIDELBERG, GERMANY, 36: 3945-3960, (2022).

Chemical concentrations, exposures, health risks by census tract from National Scale Air Toxics Assessment (NATA)

공공데이터포털

Chemical concentrations, exposures, health risks by census tract for the United States from National Scale Air Toxics Assessment (NATA). This dataset is associated with the following publication: Huang, H., and T. Barzyk. Connecting the Dots: Linking Environmental Justice Indicators to Daily Dose Model Estimates. International Journal of Environmental Research and Public Health. Molecular Diversity Preservation International, Basel, SWITZERLAND, 14(1): 1-15, (2017).

Chemical concentrations, exposures, health risks by census tract from National Scale Air Toxics Assessment (NATA)

공공데이터포털

Chemical concentrations, exposures, health risks by census tract for the United States from National Scale Air Toxics Assessment (NATA). This dataset is associated with the following publication: Huang, H., and T. Barzyk. Connecting the Dots: Linking Environmental Justice Indicators to Daily Dose Model Estimates. International Journal of Environmental Research and Public Health. Molecular Diversity Preservation International, Basel, SWITZERLAND, 14(1): 1-15, (2017).

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).

CES EHP Figure 2

공공데이터포털

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).

Chemical Data Reporting (CDR), 2012

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This data download package contains the following map layers: CDR sites, CDR chemicals, and CDR commercial and industrial submissions. Layers are drawn at all scales. Included in this package are a file geodatabase, Esri ArcMap map document and XML files of this and layer-level metadata records. Full FGDC metadata records for each layer are also contained in the database. This dataset was procured for EPA through the Office of Pollution Prevention and Toxics (OPPT).