Löfstedt Anneli, Scheliga Bernhard, Aceves-Martins Magaly, de Roos Baukje
The Rowett Institute, University of Aberdeen, Aberdeen AB25 2ZD, UK.
Digital Research Services, University of Aberdeen, Aberdeen AB24 3QY, UK.
Data Brief. 2025 Mar 7;59:111444. doi: 10.1016/j.dib.2025.111444. eCollection 2025 Apr.
Here we present a high-resolution perspective on United Kingdom (UK) seafood supplies and nutrient flows between 2009 and 2020 with data collected from publicly available datasets. The database combines secondary data on production (capture and aquaculture), trade (import and export), purchases, and consumption, for up to 73 seafood species. The nutritional composition (protein, omega-3 fatty acids, vitamin D, vitamin A, vitamin B, calcium, iodine, iron, selenium, and zinc) for each species are also included. As the secondary data was obtained from different data sources, they were harmonised to efficiently link the data. Seafood species were categorised as lean, oily, and shellfish, to allow comparisons with UK dietary guidelines, and were assigned a species type according to the Food and Agricultural Organisation 'International Standard Statistical Classification for Aquatic Animals and Plants' classification. By the virtue of the integrated nature of our seafood database, it provides a unique opportunity for users to interrogate the entire UK seafood supply chain, at a species level, over a decade worth of data, allowing users to understand what seafood is being produced and ultimately consumed. The application of this database is described in an original research article entitled "Seafood supply mapping reveals production and consumption mismatches and large dietary nutrient losses through exports in the United Kingdom".
在此,我们利用从公开可用数据集中收集的数据,展示了2009年至2020年英国海鲜供应和营养物质流动的高分辨率视角。该数据库整合了多达73种海鲜的生产(捕捞和水产养殖)、贸易(进出口)、采购和消费的二手数据。每种海鲜的营养成分(蛋白质、omega-3脂肪酸、维生素D、维生素A、维生素B、钙、碘、铁、硒和锌)也包括在内。由于二手数据来自不同的数据源,因此对它们进行了协调,以便有效地链接数据。海鲜种类被分为瘦肉型、油性和贝类,以便与英国饮食指南进行比较,并根据联合国粮食及农业组织的《国际水生动物和植物标准统计分类》分类法指定了种类类型。凭借我们海鲜数据库的综合性,它为用户提供了一个独特的机会,在物种层面上,基于长达十年的数据来审视整个英国海鲜供应链,让用户了解正在生产以及最终被消费的是何种海鲜。该数据库的应用在一篇题为《海鲜供应图谱揭示了英国生产与消费的不匹配以及出口造成的大量膳食营养损失》的原创研究文章中有描述。