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.本数据集通过整合并标准化多份独立数据集汇编而成。上述数据集于2017至2020年间，在荷兰（Netherlands）、德国（Germany）、斯洛文尼亚（Slovenia）与瑞士（Switzerland）四国完成构建，并采用了不同的研究方法。本数据集专为支持欧盟地平线2020（HORIZON2020）FNS Cloud项目中的案例研究而筹备。数据集涵盖三类与食品配方改良策略高度相关的食品及饮品的强制食品标签营养成分信息，具体类别包括软饮料、早餐谷物食品与酸奶。