Harmonised dataset for decomposing and matching food items in dietary data for high-resolution modelling

Abstract Modelling environmental, social and nutritional impacts of food consumption requires detailed, disaggregated data linking consumption-level food items to agricultural commodities. Here, we present a harmonised dataset for the decomposition of composite foods – such as mixed dishes, processed products, and multi-ingredient items – recorded in European dietary surveys (classified using European Food Safety Authority (EFSA)’s FoodEx2 system) and their association with life cycle inventory data. The dataset includes a decomposition table as well as matching tables linking FoodEx2 items to food item labels of three commonly used environmental impact databases (Poore and Nemecek dataset, Agribalyse v3.2, Ecoinvent v3.10). Yield conversion factors and consumer food waste coefficients are incorporated to support full food supply chain impact modelling. The dataset is complemented by an R script that supports semi-automatic matching, which can easily be applied to other datasets. Together, these open-access resources support high-resolution modelling of food systems in nutrition, sustainability, and food policy research by transparently connecting reported food consumption to underlying ingredient and commodity data.

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Publication Details

Journal
Scientific Data
Published
2026-05-19
DOI
https://doi.org/10.1038/s41597-026-07448-0
Primary Topic
Agriculture Sustainability and Environmental Impact
Type
article
Field-Weighted Citation Impact
0.00

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article

Harmonised dataset for decomposing and matching food items in dietary data for high-resolution modelling

Scientific Data
Agriculture Sustainability and Environmental Impact
article

Harmonised dataset for decomposing and matching food items in dietary data for high-resolution modelling

article en

Abstract

Abstract Modelling environmental, social and nutritional impacts of food consumption requires detailed, disaggregated data linking consumption-level food items to agricultural commodities. Here, we present a harmonised dataset for the decomposition of composite foods – such as mixed dishes, processed products, and multi-ingredient items – recorded in European dietary surveys (classified using European Food Safety Authority (EFSA)’s FoodEx2 system) and their association with life cycle inventory data. The dataset includes a decomposition table as well as matching tables linking FoodEx2 items to food item labels of three commonly used environmental impact databases (Poore and Nemecek dataset, Agribalyse v3.2, Ecoinvent v3.10). Yield conversion factors and consumer food waste coefficients are incorporated to support full food supply chain impact modelling. The dataset is complemented by an R script that supports semi-automatic matching, which can easily be applied to other datasets. Together, these open-access resources support high-resolution modelling of food systems in nutrition, sustainability, and food policy research by transparently connecting reported food consumption to underlying ingredient and commodity data.

Scientific Data
University of Bern (CH), Leiden University (NL), Forschungsinstitut für Biologischen Landbau (CH), Wageningen University & Research (NL)
HORIZON EUROPE Framework Programme, Staatssekretariat für Bildung, Forschung und Innovation
Zero hunger
Openalex Percentile: Top 5%
Agriculture Sustainability and Environmental Impact
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