Copper occurrence data related to EFSA opinion on copper 2023
- Simon John More1
- Vasileios Bampidis2
- Diane Benford3
- Claude Bragard4
- Thorhallur Ingi Halldorsson5
- Antonio F. Hernández-Jerez6
- Susanne Hougaard Bennekou7
- Kostas Koutsoumanis8
- Claude Lambré3
- Kyriaki Machera9
- Ewen Mullins10
- Søren Saxmose Nielsen11
- Dieter Schrenk12
- Dominique Turck13
- Maged Younes3
- Polly Boon14
- Gordon Ferns15
- Jean Charles Leblanc16
- Oliver Lindtner17
- Erik Smolders18
- Josef Schlatter3
- Martin Wilks19
- Maria Bastaki20
- Agnès de Sesmaisons-Lecarré20
- Lucien Ferreira20
- Luna Greco20
- Francesca Riolo20
- 1. Centre for Veterinary Epidemiology and Risk Analysis, University College of Dublin (UCD)
- 2. International Hellenic University (IHU)
- 3. Retired
- 4. Université catholique de Louvain
- 5. Faculty of Food Science and Nutrition, School of Health Sciences, University of Iceland
- 6. University of Granada
- 7. The Danish Environment Protection Agency (EPA), Division of Pesticides and Biocides
- 8. Aristotle University of Thessaloniki, Department of Food Science and Technology
- 9. Benaki Phytopathological Institute
- 10. Teagasc - Irish Agriculture and Food Development Authority
- 11. University of Copenhagen
- 12. University of Kaiserslautern
- 13. Lille University Faculty of Medicine and Jeanne de Flandre Lille University Children's Hospital
- 14. National Institute for Public Health and the Environment (RIVM), the Netherlands
- 15. Brighton & Sussex Medical School, UK
- 16. French Agency for Food, Environmental and Occupational Health Safety (ANSES)
- 17. German Federal Institute for Risk Assessment (BfR)
- 18. Katholieke Universiteit Leuven, Belgium
- 19. Swiss Centre for Applied Human Toxicology (SCAHT)
- 20. European Food Safety Authority (EFSA)
Description
The file contains the raw occurrence dataset on copper in food as extracted from EFSA DWH on 10th of March 2021 and presented in the EFSA opinion on "Re‐evaluation of the existing health‐based guidance values for copper and exposure assessment from all sources" available at https://doi.org/10.2903/j.efsa.2023.7728. The data is provided in csv format. This dataset is compliant with EFSA SSD2 data model and contains two additional columns documenting issues identified in the cleaning process (column: issue) and the action taken (column: action) to address the issue (e.g. delete record or update values in specific fields).
The link to the catalogues of controlled terminologies for the updated textual description of fields values can be found under "Related identifiers”.
Notes
Files
COPP_ZENODO.zip
Files
(1.8 MB)
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Additional details
Related works
- Is supplement to
- Journal article: 10.2903/j.efsa.2023.7728 (DOI)
- Is supplemented by
- Dataset: 10.5281/zenodo.779880 (DOI)
Subjects
- copper
- http://id.agrisemantics.org/gacs/C956
- chemical concentration
- http://browser.agrisemantics.org/gacs/en/page/C3417
- food analysis
- http://browser.agrisemantics.org/gacs/en/page/C1095