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ORD-017311 Data Brown DermPerm.xlsx
List of chemicals used for model evaluation, their MW, log KOW, and references for the original data source(s), the review(s) the data was collected from, and reference for log KOW as cited in the reviews. [Table SI-3 of research article]. This dataset is associated with the following publication: Brown, T., J. Armitage, P. Egeghy, I. Kircanski, and J. Arnot. Dermal permeation data and models for the prioritization and screening-level exposure assessment of organic chemicals. ENVIRONMENT INTERNATIONAL. Elsevier Science Ltd, New York, NY, USA, 94: 424-435, (2016).
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RAIDAR-ICE manuscript data
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Data from which figures and table in "A Model for Risk-Based Screening and Prioritization of Human Exposure to Chemicals from Near-Field Sources" were constructed. This dataset is associated with the following publication: Li, L., J. Westgate, L. Hughes, X. Zhang, B. Givehchi, L. Toose, J. Armitage, F. Wania, P. Egeghy, and J. Arnot. A Model for Risk-Based Screening and Prioritization of Human Exposure to Chemicals from Near-Field Sources. ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA, 52(24): 14235-14244, (2018).
A compartment model to predict in vitro finite dose absorption of chemicals by human skin
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Supplementary data for "H.A. Fisher, M.V. Evans, A.L. Bunge, E.A. Cohen Hubal, D.A. Vallero, A compartment model to predict in vitro finite dose absorption of chemicals by human skin, Chemosphere, Volume 349, 2024, 140689, ISSN 0045-6535, https://doi.org/10.1016/j.chemosphere.2023.140689.". This dataset is associated with the following publication: Fisher, H., M. Evans, A. Bunge, E. Cohen-Hubal, and D. Vallero. A compartment model to predict in vitro finite dose absorption of chemicals by human skin. CHEMOSPHERE. Elsevier Science Ltd, New York, NY, USA, 349: 140689, (2024).
Dermal metafile for six studies for permeability estimation
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Dermal absorption is an important route of exposure that includes pharmaceuticals, consumer products and occupational exposures. "httk" is being developed as a tool to predict internal dose after exposure. The dermal route will be added to this package in order to account for dermal exposure. This dataset is associated with the following publication: Evans, M., T. Moxon, G. Lian, B. Deacon, T. Chen, L. Adams, A. Meade, and J. Wambaugh. A regression analysis using simple descriptors for multiple dermal datasets: Going from individual membranes to the full skin. JOURNAL OF APPLIED TOXICOLOGY. John Wiley & Sons, Ltd., Indianapolis, IN, USA, 43(6): 940-950, (2023).
Full set of calculated values related to the journal article: "Review of Pervaporation and Vapor Permeation Process Factors Affecting the Removal of Water from Industrial Solvents"
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This Excel file contains all of the calculated values associated with the journal article: "Review of Pervaporation and Vapor Permeation Process Factors Affecting the Removal of Water from Industrial Solvents". This dataset is associated with the following publication: Vane, L.M. Review of pervaporation and vapor permeation process factors affecting the removal of water from industrial solvents. Journal of Chemical Technology and Biotechnology. John Wiley and Sons, LTD, UK, 95(3): 495-512, (2020).
Full set of calculated values related to the journal article: "Review of Pervaporation and Vapor Permeation Process Factors Affecting the Removal of Water from Industrial Solvents"
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This Excel file contains all of the calculated values associated with the journal article: "Review of Pervaporation and Vapor Permeation Process Factors Affecting the Removal of Water from Industrial Solvents". This dataset is associated with the following publication: Vane, L.M. Review of pervaporation and vapor permeation process factors affecting the removal of water from industrial solvents. Journal of Chemical Technology and Biotechnology. John Wiley and Sons, LTD, UK, 95(3): 495-512, (2020).
Calculated values for Figures in journal article: "Review of Pervaporation and Vapor Permeation Process Factors Affecting the Removal of Water from Industrial Solvents"
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This Excel file contains the values used to create the figures in the journal article "Review of Pervaporation and Vapor Permeation Process Factors Affecting the Removal of Water from Industrial Solvents". This dataset is associated with the following publication: Vane, L.M. Review of pervaporation and vapor permeation process factors affecting the removal of water from industrial solvents. Journal of Chemical Technology and Biotechnology. John Wiley and Sons, LTD, UK, 95(3): 495-512, (2020).
Data for the journal article "Preparation of water-selective polybutadiene membranes and their use in drying" ACS Sustainable Chemistry & Engineering, 4, 4442-4450 (2016)
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The dataset is supporting information containing experimental details, data, and reduced data for figures and tables presented in the journal article "Preparation of water-selective polybutadiene membranes and their use in drying alcohols by pervaporation and vapor permeation technologies" ACS Sustainable Chemistry & Engineering, 4, 4442-4450 (2016). This dataset is associated with the following publication: Vane, L., V. Namboodiri, G. Lin, M. Abar, and F. Alvarez. Preparation of Water-Selective Polybutadiene Membranes and Their Use in Drying Alcohols by Pervaporation and Vapor Permeation Technologies. SCIENCE. American Association for the Advancement of Science (AAAS), Washington, DC, USA, 4(8): 4442-4450, (2016).
Using methods development efforts ongoing within NRMRL, NERL, and Regional labs, the concentrations of polyfluorinated chemicals
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Concentrations of polyfluorinated chemicals in drinking water from homes. This dataset is associated with the following publication: Dasu, K., S. Nakayama, M. Yoshikane, M. Mills, J.M. Wright, and S. Ehrlich. An Ultra-Sensitive Method for the Analysis of Perfluorinated Alkyl Acids in Drinking Water using a Column Switching High-Performance Liquid Chromatography Tandem Mass Spectrometry. M.C. Breadmore, J.G. Dorsey, P. Dugo, S. Fanali JOURNAL OF CHROMATOGRAPHY A. Elsevier Science Ltd, New York, NY, USA, 1494: 46-54, (2017).
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