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).

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).

Soil health data. This dataset is not publicly accessible because: Owned by primary author. It can be accessed through the following means: Contact primary author. Format: Data is excel spreadsheets. This dataset is associated with the following publication: Umeobi, E., T. Ducey, M. Johnson, and J. Ippolito. Soil health alterations with compost additions to natural and remediated heavy metal-contaminated mineland soils. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH. Ecomed Verlagsgesellschaft AG, Landsberg, GERMANY, s11356-025-36602-1, (2025).

The map graphic image at https://www.sciencebase.gov/catalog/file/get/63140561d34e36012efa2b7f?name=arsenic_map.png illustrates arsenic values, in micrograms per liter, for groundwater samples from about 31,000 wells and springs in 49 states compiled by the United States Geological Survey (USGS). The map graphic illustrates an updated version of figure 1 from Ryker (2001). Cited Reference: Ryker, S.J., Nov. 2001, Mapping arsenic in groundwater-- A real need, but a hard problem: Geotimes Newsmagazine of the Earth Sciences, v. 46 no. 11, p. 34-36 at http://www.agiweb.org/geotimes/nov01/feature_Asmap.html. An excel tabular data file, a txt file, along with a GIS shape file of arsenic concentrations (20,043 samples collected by the USGS) for a subset of the sites shown on the map. Samples were collected between 1973 and 2001 and are provided for download.

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