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).

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).

These data were collected by the EPA Toxic Element Bioavailability Laboratory and consists of lead (Pb) and/or arsenic (As) mouse tissue, soil, aqueous soil leachate, and spectroscopy data. The mouse-based assay for assessment of lead and arsenic in vivo mouse bioavailability in soil and dust is a critical tool needed to improve our understanding of the factors affecting the metal’s uptake across the gastrointestinal barrier and to evaluate the efficacy of methods used to remediate lead and/or arsenic contaminated media. The mouse assay has been optimized to yield accurate, reproducible, and reliable estimates of the in vivo mouse bioavailability of lead and/or arsenic in soil and dust. The reported Pb/As data is used to assess the total, bioaccessible, and bioavailable concentrations resulting from exposure to soils. These data were collected using EPA Methods 1340, 3050b, 6010d, and 6020b. These quantitative characterization data are then paired with X-ray absorption spectroscopy data that is used to deduce the valence, coordination environment, and mineral/sorbed phase of the element of interest. These data are collected at a synchrotron facility by our team and then processed at EPA ORD using previously established methods (e.g., Sowers et al., 2023).

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 dataset reports total arsenic (AsTot) results analyzed using an in-field biosensor system, Field-Ready Electrochemical Detector for Arsenic (FRED-Arsenic), developed by FREDsense Technologies Corp., Calgary, Alberta, Canada. Samples were collected from two public-supply wells (NH-SGW 93 and NH-SGW 65) and one private well (NH-KFW 87). NH-SGW 93 and NH-KFW 87 both withdraw water from a crystalline-rock aquifer. NH-SGW 65 withdraws water from a glacial sand and gravel aquifer. Twelve samples for NH-KFW 87 were collected and analyzed on May 14, 2019 with sample times ranging from 0730 to 1800, and 12 samples were collected and analyzed on August 20, 2019 with sample times ranging from 0830 to 1320. Eleven samples for NH-SGW 93 were collected and analyzed on May 15, 2019 with sample times ranging from 0838 to 1437, with the last sample collected when the pump was turned off; 12 sampled were collected and analyzed on August 21, 2019 with sample times ranging from 0807 to 1159. Twelve samples for NH-SGW 65 were collected and analyzed on May 16, 2019 with sample times ranging from 0931 to 1400; 12 samples were collected and analyzed on August 22, 2019 with sample times ranging from 0813 to 1057.

This dataset includes data collected to validate a method of analysis for arsenic species As(III), As(V), dimethylarsinate (DMA), and monomethylarsonate (MMA) in surface water and groundwater samples. It also includes site information and water chemistry for samples used in the validation and used for other studies of arsenic species in groundwater. It includes speciation data measured at multiple time points to establish or verify hold times and stability of As species in surface water and groundwater samples.

This dataset includes data collected to validate a method of analysis for arsenic species As(III), As(V), dimethylarsinate (DMA), and monomethylarsonate (MMA) in surface water and groundwater samples. It also includes site information and water chemistry for samples used in the validation and used for other studies of arsenic species in groundwater. It includes speciation data measured at multiple time points to establish or verify hold times and stability of As species in surface water and groundwater samples.

This data release contains a table of measured arsenic concentrations and associated model input variables used to test existing multivariate logistic regression models that predict the probabilities of arsenic concentrations exceeding threshold values of 1, 5, and 10 micrograms per liter in bedrock aquifers of New Hampshire. Location data are censored to the county level.

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).