Arsenic speciation results

Metadata Updated: September 14, 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).

Access & Use Information

Public: This dataset is intended for public access and use. License: See this page for license information.

Downloads & Resources

References

http://www.sciencedirect.com/science/journal/00456535/180

Dates

Metadata Created Date September 5, 2017
Metadata Updated Date September 14, 2018

Metadata Source

Harvested from EPA ScienceHub

Additional Metadata

Resource Type Dataset
Metadata Created Date September 5, 2017
Metadata Updated Date September 14, 2018
Publisher U.S. EPA Office of Research and Development (ORD)
Unique Identifier https://doi.org/10.23719/1377034
Maintainer
Kirk Scheckel
Maintainer Email
Public Access Level public
Bureau Code 020:00
Schema Version https://project-open-data.cio.gov/v1.1/schema
Harvest Object Id 8ad7fd00-fc71-40b0-986c-9759cbd84e2a
Harvest Source Id cf9b0004-f9fd-420e-bade-a86839e82acf
Harvest Source Title EPA ScienceHub
License https://pasteur.epa.gov/license/sciencehub-license.html
Data Last Modified 2016-12-08
Program Code 020:097
Publisher Hierarchy U.S. Government > U.S. Environmental Protection Agency > U.S. EPA Office of Research and Development (ORD)
Related Documents http://www.sciencedirect.com/science/journal/00456535/180
Source Datajson Identifier True
Source Hash 94c30eafe9f77e7b9c3b9be9f8b0b947bc443666
Source Schema Version 1.1

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