Arsenic speciation results

Metadata Updated: November 12, 2020

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

https://doi.org/10.1016/j.chemosphere.2017.03.134

Dates

Metadata Created Date November 12, 2020
Metadata Updated Date November 12, 2020

Metadata Source

Harvested from EPA ScienceHub

Additional Metadata

Resource Type Dataset
Metadata Created Date November 12, 2020
Metadata Updated Date November 12, 2020
Publisher U.S. EPA Office of Research and Development (ORD)
Unique Identifier Unknown
Maintainer
Identifier https://doi.org/10.23719/1377034
Data Last Modified 2016-12-08
Public Access Level public
Bureau Code 020:00
Schema Version https://project-open-data.cio.gov/v1.1/schema
Harvest Object Id d589c144-11d5-43cf-83e5-70f71722ed67
Harvest Source Id 04b59eaf-ae53-4066-93db-80f2ed0df446
Harvest Source Title EPA ScienceHub
License https://pasteur.epa.gov/license/sciencehub-license.html
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 https://doi.org/10.1016/j.chemosphere.2017.03.134
Source Datajson Identifier True
Source Hash 4993a7fec8a19798cf1b4f2cd76b96c6fa3dac84
Source Schema Version 1.1

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