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).

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).

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 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.

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).

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).

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).

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).

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).

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).