Linking Field-based Metabolomics and Chemical Analyses to Prioritize Contaminants of Emerging Concern in the Great Lakes Basin
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Davis et al._2016_ET&C.xlsx
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Complete Metadata
| @type | dcat:Dataset |
|---|---|
| accessLevel | public |
| bureauCode |
[ "020:00" ] |
| contactPoint |
{ "fn": "Drew Ekman", "hasEmail": "mailto:ekman.drew@epa.gov" } |
| describedBy | https://pasteur.epa.gov/uploads/10.23719/1389783/documents/Data%20Dictionary%20for%20Davis%20et%20al.%202017_Input%20File.docx |
| describedByType | application/vnd.openxmlformats-officedocument.wordprocessingml.document |
| description | Matrix of contaminant measurements and endogenous metabolite intensities (measured by NMR). This dataset is associated with the following publication: Davis, J., D. Ekman, Q. Teng , G. Ankley , J. Berninger , J. Cavallin , K. Jensen , M. Kahl , A. Schroeder , D. Villeneuve , Z. Jorgenson, K. Lee, and T. Collette. Linking field-based metabolomics and chemical analyses to prioritize contaminants of emerging concern in the Great Lakes basin. ENVIRONMENTAL TOXICOLOGY AND CHEMISTRY. Society of Environmental Toxicology and Chemistry, Pensacola, FL, USA, 35(10): 2493–2502, (2016). |
| distribution |
[ { "title": "Davis et al._2016_ET&C.xlsx", "mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet", "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1389783/Davis%20et%20al._2016_ET%26C.xlsx" } ] |
| identifier | https://doi.org/10.23719/1389783 |
| keyword |
[ "Fathead minnows", "Great Lakes", "chemicals of emerging concern", "metabolomics", "nuclear magnetic resonance spectroscopy" ] |
| license | https://pasteur.epa.gov/license/sciencehub-license.html |
| modified | 2018-04-30 |
| programCode |
[ "020:095" ] |
| 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/10.1002/etc.3409" ] |
| rights |
null
|
| title | Linking Field-based Metabolomics and Chemical Analyses to Prioritize Contaminants of Emerging Concern in the Great Lakes Basin |