Total, bioavailable and bioaccessible arsenic levels in soil data generated from EPA regional samples. This dataset is not publicly accessible because: EPA cannot release personally identifiable information regarding living individuals, according to the Privacy Act and the Freedom of Information Act (FOIA). This dataset contains information about human research subjects. Because there is potential to identify individual participants and disclose personal information, either alone or in combination with other datasets, individual level data are not appropriate to post for public access. Restricted access may be granted to authorized persons by contacting the party listed. It can be accessed through the following means: The public can access the non personally identifiable data through the journal (Geosciences) publisher (MDPI). The journal is open access and does not require a subscription. Format: Total, bioavailable and bioaccessible arsenic levels in soil data generated from EPA regional samples. This dataset is associated with the following publication: Diamond, G.L., K. Bradham , W.J. Brattin, M. Burgess , S. Griffin , C. Hawkins , A.L. Juhasz, J.M. Klotzbach, C. Nelson , Y.W. Lowery, K. Scheckel , and D. Thomas. Predicting oral relative bioavailability of arsenic in soil from in vitro bioaccessibility. JOURNAL OF TOXICOLOGY AND ENVIRONMENTAL HEALTH - PART A: CURRENT ISSUES. Taylor & Francis, Inc., Philadelphia, PA, USA, 79(4): 165-173, (2016).

Linear combination fitting results of synchrotron data to determine arsenic speciation in soil samples. This dataset is associated with the following publication: Whitacre, S., N. Basta, B. Stevens, V. Hanley, R. Anderson, and K. Scheckel. Modification of an Existing In vitro Method to Predict Relative Bioavailable Arsenic in Soils. Jacob de Boer, and Shane Snyder CHEMOSPHERE. Elsevier Science Ltd, New York, NY, USA, 180: 545-552, (2017).

soil element total concentration, soil pH and arsenic bioaccessibility values. This dataset is not publicly accessible because: EPA cannot release personally identifiable information regarding living individuals, according to the Privacy Act and the Freedom of Information Act (FOIA). This dataset contains information about human research subjects. Because there is potential to identify individual participants and disclose personal information, either alone or in combination with other datasets, individual level data are not appropriate to post for public access. Restricted access may be granted to authorized persons by contacting the party listed. It can be accessed through the following means: The public can access the non personally identifiable data through the journal publisher if they have a subscription or other means to access journal articles from this publisher (Journal of Toxicology and Environmental Health). They can not access the personally identifiable/protected info. Format: These data were generated from EPA Regional samples. This dataset is associated with the following publication: Nelson, C., K. Li, D. Obenour, J. Miller, J. Misenheimer, K. Scheckel, A. Betts, A. Juhasz, D. Thomas, and K. Bradham. Relating soil geochemical properties to arsenic bioaccessibility through hierarchical modeling.. JOURNAL OF TOXICOLOGY AND ENVIRONMENTAL HEALTH - PART A: CURRENT ISSUES. Taylor & Francis, Inc., Philadelphia, PA, USA, 81(6): 160-172, (2018).

Mouse assays. This dataset is associated with the following publication: Diamond, G., K. Bradham, and D. Thomas. Evaluating the Mouse Model for Estimation of Arsenic Bioavailability: Comparison of Estimates of Absolute Bioavailability of Inorganic Arsenic in Mouse, Humans, and Other Species. JOURNAL OF TOXICOLOGY AND ENVIRONMENTAL HEALTH - PART A: CURRENT ISSUES. Taylor & Francis, Inc., Philadelphia, PA, USA, 85(19): 815-825, (2022).

Microbiome analyses. This dataset is associated with the following publication: Griggs, J., L. Chi, N. Hanley, M. Kohan, K. Herbin-Davis, D. Thomas, K. Lu, R. Fry, and K. Bradham. Bioaccessibility of Arsenic from Contaminated Soils and Alteration of the Gut Microbiome in an In Vitro Gastrointestinal Model. ENVIRONMENTAL POLLUTION. Elsevier Science Ltd, New York, NY, USA, 309: 119753, (2022).

This is the manuscript and supplementary material for "Speciation of Inorganic Arsenic with Mixed-Mode HPLC- Electrospray Ionization-Mass Spectrometry and Arsenite Oxidation". This dataset is associated with the following publication: Li, T. Speciation of inorganic arsenic with mixed mode HPLC-ESI-MS and Arsenite Oxidation. TALANTA. Elsevier Science Ltd, New York, NY, USA, 259: 124487, (2023).

The dataset shows the weighted percentage of arsenic speciation for untreated and treated soil samples with amendments designed to immobilize arsenic in soils. This dataset is associated with the following publication: Mele, E., E. Donner, A. Juhasz, G. Brunetti, E. Smith, A. Betts , P. Castaldi, S. Deiana, K. Scheckel , and E. Lombi. In situ fixation of metal(loid)s in contaminated soils: a comparison of conventional, by product and engineered soil amendments. David L. Sedlak ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA, 49: 13501-13509, (2015).

Soil samples provided by EPA Regional offices to NERL for methods development based on the agreement that the sample identifiers never be released. This dataset is not publicly accessible because: EPA cannot release personally identifiable information regarding living individuals, according to the Privacy Act and the Freedom of Information Act (FOIA). This dataset contains information about human research subjects. Because there is potential to identify individual participants and disclose personal information, either alone or in combination with other datasets, individual level data are not appropriate to post for public access. Restricted access may be granted to authorized persons by contacting the party listed. It can be accessed through the following means: The public can access the data, which are provided in the publication and presented in tables and figures within the publication. Format: These data were generated from EPA Regional samples. All of the soil samples were provided by EPA Regional offices to NERL for methods development based on the agreement that the sample identifiers never be released. There is currently on-going litigation for clean-up of these sites, which requires this information to be protected. This dataset is associated with the following publication: Bradham, K., G. Diamond, A. Juhasz, C. Nelson, and D. Thomas. Comparison of mouse and swine bioassays for determination of soil arsenic relative bioavailability. APPLIED GEOCHEMISTRY. Elsevier Science Ltd, New York, NY, USA, 88: 221-225, (2018).

Table showing linear combination fitting data for arsenic and lead speciation in three soils. This dataset is associated with the following publication: Kastury, F., E. Smith, R.R. Karna, K.G. Scheckel, and A.L. Juhasz. Methodological factors influencing inhalation bioaccessibility of metal(loid)s in PM2.5 using simulated lung fluid. ENVIRONMENTAL POLLUTION. Elsevier Science Ltd, New York, NY, USA, 241: 930-937, (2018).

Arsenic Speciation in US Consumed Rice with an Emphasis on Bioaccessiblity and the Exposure Assessment Implications. This dataset is associated with the following publication: Mantha, M., E. Yeary, J. Trent, P. Creed , K. Kubachka, T. Hanley, N. Ahockey, D. Heitkemper, J. Caruso, J. Xue , G. Rice , L. Wymer , and J. Creed. Journal Article-"Estimating Inorganic Arsenic Exposure from U.S.Rice and Total Water Intakes". ENVIRONMENTAL HEALTH PERSPECTIVES. National Institute of Environmental Health Sciences (NIEHS), Research Triangle Park, NC, USA, 125(5): 1-10, (2017).