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).

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).

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).

Data were generated from US EPA Superfund site soil 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: In the publication and supporting information. Format: These data were generated from US EPA Superfund site soil samples. All of the soil samples were provided to NERL for methods development based on the agreement that the specific sample identifiers not be released. The public can access the data, which are provided in the publication and presented in tables and figures within the publication. This dataset is associated with the following publication: Bradham, K., C. Herde, P. Herde, A.L. Johasz, K. Herbin-Davis, B. Elek, A. Farthing, G.L. Diamond, and D.J. Thomas. Intra- and Interlaboratory Evaluation of an Assay of Soil Arsenic Relative Bioavailability in Mice. JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY. American Chemical Society, Washington, DC, USA, 68(9): 2615-2622, (2020).

Data were generated from US EPA Superfund site soil 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: In the publication and supporting information. Format: These data were generated from US EPA Superfund site soil samples. All of the soil samples were provided to NERL for methods development based on the agreement that the specific sample identifiers not be released. The public can access the data, which are provided in the publication and presented in tables and figures within the publication. This dataset is associated with the following publication: Bradham, K., C. Herde, P. Herde, A.L. Johasz, K. Herbin-Davis, B. Elek, A. Farthing, G.L. Diamond, and D.J. Thomas. Intra- and Interlaboratory Evaluation of an Assay of Soil Arsenic Relative Bioavailability in Mice. JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY. American Chemical Society, Washington, DC, USA, 68(9): 2615-2622, (2020).

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).

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).

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).

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).

N/A. This is a review article and no data were generated in the process of the review. This dataset is not publicly accessible because: This is a review article and no data were generated in the process of the review. It can be accessed through the following means: Information is presented in the published manuscript. Format: This is a review article and no data were generated in the process of the review. This dataset is associated with the following publication: Punshon, T., B. Jackson, A. Meharg, T. Warczak, K. Scheckel, and M.L. Guerinot. Understanding Arsenic Dynamics in Agronomic Systems to Predict and Prevent Uptake by Crop Plants. D. Barcelo, and Jay Gan SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM, NETHERLANDS, 582: 209/220, (2017).