Climate impact dataset of 1233 ingredients to promote sustainability of food service operators in Finland

IF 1 Q3 MULTIDISCIPLINARY SCIENCES

Data in Brief Pub Date : 2024-12-01 DOI:10.1016/j.dib.2024.111143

Kim Lindfors , Venla Kyttä , Oona Pietiläinen , Merja Saarinen , Virpi Vorne

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引用次数: 0

Abstract

The food service and restaurant industry play a crucial role in promoting sustainable food consumption by offering sustainable meal options, shaping consumer preferences, and introducing eco-friendly practices. To enable the food services operating in Finland to provide more sustainable options, we created a climate impact dataset of 1233 typical ingredients used in Finnish food services. The dataset was created using Life Cycle Assessment (LCA) to assess the climate impacts of ingredients from cradle to wholesale. The climate impacts in the dataset were assessed using the characterisation factors from the IPPC's sixth assessment report, using a functional unit of 1 kg of ingredient. The final climate impacts of the ingredients include both impacts from domestic and imported products, aggregated by calculating the degree of domestic origin -weighted average. The climate impacts of Finnish plant production were assessed based on data derived from ProAgria's field plot database, and the impacts of animal and fish production were derived from recent Finnish LCA studies. The post-farm processing was assessed using data from the Agribalyse database, by changing the energy inputs of the processes to Finnish energy and modifying the transport profile to reflect Finnish conditions. The impacts of imported products were also assessed using the Agribalyse database and changing the energy inputs and transport profiles accordingly to better reflect average European production. In addition, for imported products, transportation to Finland was added. The data presented in this dataset can be utilised in other LCA studies to assess the impacts of food ingredients used in Finland in menu, or diet level assessments. As the dataset is compatible with the Finnish Food Composition Database Fineli®, it enables simultaneous assessment of nutritional value, which is crucial in achieving emission reductions without weakening the nutritional quality of food consumed.

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来源期刊

Data in Brief MULTIDISCIPLINARY SCIENCES-

CiteScore

3.10

自引率

0.00%

发文量

996

审稿时长

70 days

期刊介绍： Data in Brief provides a way for researchers to easily share and reuse each other''s datasets by publishing data articles that: -Thoroughly describe your data, facilitating reproducibility. -Make your data, which is often buried in supplementary material, easier to find. -Increase traffic towards associated research articles and data, leading to more citations. -Open up doors for new collaborations. Because you never know what data will be useful to someone else, Data in Brief welcomes submissions that describe data from all research areas.