ArticleScientific data2025
The FOod Commodity composition for Waste qUantification and valorization opportunitieS (FOWCUS) Dataset.
Article in Scientific data, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
1 citing paper in PubMed.
- The FOod Commodity composition for Waste qUantification and valorization opportunitieS (FOWCUS) Dataset.Scientific data · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
This study introduces FOWCUS, a novel dataset detailing the composition of about 280 food commodities, categorized into various groups including vegetables, fruits, nuts, eggs, livestock, seafood, cereals, sugar, vegetable oils, stimulants, pulses, and root vegetables. Unlike previous works focusing on the chemical composition of food products, this dataset extends to quantitatively capture the amounts of products and by-products that could potentially contribute to the generation of avoidable, potentially avoidable, and unavoidable food waste across the food supply chain. By providing a detailed breakdown of the different components of food products, this dataset aids in identifying potential revalorization opportunities for unavoidable food waste via, for instance, feedstocks for biochemical, biomaterial, and bioenergy applications. It also supports the quantification of food waste generation across the food supply chain, which is crucial for food waste studies and the monitoring of food waste reduction targets at the national and international levels. Indexed according to the FAOSTAT commodity typology, it serves as a valuable resource for researchers and policymakers in managing food waste and valorizing by-products.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.