Harmonised branded foods dataset for FNS Cloud case studies (2017-2020)
The dataset was compiled by merging and harmonisation of different datasets, which were compiled in four countries (Netherlands, Germany, Slovenia, Switzerland) in period 2017-2020 with the use of different methodologies. Dataset was prepared to support conduction of case studies within the HORIZON2020 FNS Cloud project. The dataset includes selected mandatory food labelling information about nutrition composition of foods/drinks within three categories, that are important for reformulation strategies: soft drinks, breakfast cereals and yoghurts. For one of the included datasets, data aslo inc... Mehr ...
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| Dokumenttyp: | other |
| Erscheinungsdatum: | 2023 |
| Verlag/Hrsg.: |
Zenodo
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| Schlagwörter: | branded foods / prepacked foods / food composition / nutrients / ingredients / nutrient profiling / Slovenia / Netherlands / Germany / Switzerland |
| Sprache: | Englisch |
| Permalink: | https://search.fid-benelux.de/Record/base-29219183 |
| Datenquelle: | BASE; Originalkatalog |
| Powered By: | BASE |
| Link(s) : | https://doi.org/10.5281/zenodo.8385814 |
The dataset was compiled by merging and harmonisation of different datasets, which were compiled in four countries (Netherlands, Germany, Slovenia, Switzerland) in period 2017-2020 with the use of different methodologies. Dataset was prepared to support conduction of case studies within the HORIZON2020 FNS Cloud project. The dataset includes selected mandatory food labelling information about nutrition composition of foods/drinks within three categories, that are important for reformulation strategies: soft drinks, breakfast cereals and yoghurts. For one of the included datasets, data aslo include category of fruit and vegetable juices (including nectars). ; Publication licence details: Database Contents License (DbCL) v1.0 (URL: https://opendatacommons.org/licenses/dbcl/1-0/ )