SU-EATABLE LIFE: a comprehensive database of carbon and water footprints of food commodities

The Su-EATABLE LIFE (SEL) database is a harmonised compilation of carbon (CF) and
water (WF) footprint values of food commodities, based on a standardized
methodology to extract information and assign optimal footprint values and
uncertainties to food items, starting from peer-reviewed articles and grey
literature. SEL
database is organized in different levels of information suitable for different
users and purposes. An updated and harmonized compilation of 3349
carbon footprint values extrapolated from 841 publications (1998-2019) and 937
water footprint values extrapolated from 88 publications (2005-2018) represents
the solid basis of the database and the most disaggregated level of information.
Using
a rigorous statistical approach we have created additional
levels of data information which represent increasing level of CF and WF data aggregation, summarized
into 85 typologies, 11 sub-typologies, 323 items data of CF and 72 typologies,
9 sub-typologies, 320 items data of WF.
Moreover
we have implemented an innovative methodological
framework for uncertainty treatment and data quality assurance to attribute
robust and statistically significant footprint values to food commodities. The complex sets of statistical evaluations, done
for each informative level, are summarized into an easy to use datasheet reporting
values of CF and WF of food items. Thanks to its multilevel approach and to the
transparent procedure for data analysis and quality check, the database can be
easily implemented and modified, fits different
purposes and levels of expertise and provides a flexible science based tool operators, managers and researcher in the food
sector.

苏-可食用生命（SEL）数据库乃碳足迹（CF）与水足迹（WF）食物商品之标准化整合汇编，基于统一的方法论提取信息并对食物项目赋予最优的足迹值及其不确定性，信息源自同行评审文章及灰色文献。该数据库按照适用于不同用户及目的的信息层级组织。由841篇出版物（1998-2019）外推的3349个碳足迹值和由88篇出版物（2005-2018）外推的937个水足迹值构成的数据集，是该数据库的坚实基石，亦为信息最细分的层级。通过严谨的统计方法，我们创建了额外的数据信息层级，代表了碳足迹和水足迹数据聚合的递增水平，汇总为85种类型、11种亚类型、323个碳足迹项目和72种类型、9种亚类型、320个水足迹项目。此外，我们还实施了一种创新的方法论框架，用于不确定性处理和数据质量保证，为食物商品赋予稳健且统计学上显著的足迹值。对每个信息层级进行的复杂统计评估汇总成易于使用的数据表，报告了食物商品的碳足迹和水足迹值。得益于其多层级方法和数据分析和质量检查的透明程序，该数据库易于实施和修改，适应不同目的和专业知识水平，为食品行业的操作者、管理者及研究人员提供了一款灵活的科学工具。