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Stanley and Wilkin (2019) dataset
The spreadsheet contains mineralogical and solubility data for the uranyl minerals: metaschoepite and uranophane.
This dataset is associated with the following publication:
Stanley, D.M., and R.T. Wilkin. Solution equilibria of uranyl minerals: Role of the common groundwater ions calcium and carbonate. JOURNAL OF HAZARDOUS MATERIALS. Elsevier Science Ltd, New York, NY, USA, 377: 315-320, (2019).
Resources
1 resource available
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Stanley and Wilkin (2019) dataset.xlsx
APPLICATION/VND.OPENXMLFORMATS-OFFICEDOCUMENT.SPREADSHEETML.SHEET
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Complete Metadata
| @type | dcat:Dataset |
|---|---|
| accessLevel | public |
| bureauCode |
[ "020:00" ] |
| contactPoint |
{ "fn": "Richard Wilkin", "hasEmail": "mailto:wilkin.rick@epa.gov" } |
| description | The spreadsheet contains mineralogical and solubility data for the uranyl minerals: metaschoepite and uranophane. This dataset is associated with the following publication: Stanley, D.M., and R.T. Wilkin. Solution equilibria of uranyl minerals: Role of the common groundwater ions calcium and carbonate. JOURNAL OF HAZARDOUS MATERIALS. Elsevier Science Ltd, New York, NY, USA, 377: 315-320, (2019). |
| distribution |
[ { "title": "Stanley and Wilkin (2019) dataset.xlsx", "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet", "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1503429/Stanley%20and%20Wilkin%20%282019%29%20dataset.xlsx" } ] |
| identifier | https://doi.org/10.23719/1503429 |
| keyword |
[ "arsenic", "chromium", "groundwater", "iron sulfides", "nickel", "uranium" ] |
| license | https://pasteur.epa.gov/license/sciencehub-license.html |
| modified | 2019-02-27 |
| programCode |
[ "020:097" ] |
| publisher |
{ "name": "U.S. EPA Office of Research and Development (ORD)", "subOrganizationOf": { "name": "U.S. Environmental Protection Agency", "subOrganizationOf": { "name": "U.S. Government" } } } |
| references |
[ "https://doi.org/10.1016/j.jhazmat.2019.05.101" ] |
| rights |
null
|
| title | Stanley and Wilkin (2019) dataset |
