Published April 1, 2026 | Version v1
Dataset Embargoed

Data underlying "Assessing the impact of husbandry conditions on broiler meat quality using machine learning"

Authors/Creators

  • 1. ROR icon Wageningen University & Research
  • 2. LMU Munich
  • 3. ROR icon University of Rostock
  • 4. ROR icon Institute of Genetics and Animal Biotechnology of the Polish Academy of Sciences
  • 5. ROR icon University of Life Sciences in Poznań
  • 6. Danish Meat Research Institute
  • 7. ROR icon Danish Technological Institute

Description

This repository contains the data used in the publication "Assessing the impact of husbandry conditions on broiler meat quality using machine learning" by Fendor et al. The data was collected as part of the European project mEATquality. The aim of the project was to study the effects of extensive husbandry practices on the quality of meat. The trials conducted within the project covered space allowance, space quality, breed, and diet. The meat quality was measured through physiochemical analysis, a sensory panel, and consumer tasters. More information about the set up of the study in the project can be found in the accompanying publication and on the project website: meatquality.eu.

Files

Embargoed

The files will be made publicly available on November 1, 2026.

Reason: The data produced within the mEATQuality project is subject to the order of publication. Parts of the data that are used in other, related publications are yet to be published.

Additional details

Related works

Is required by
Software: 10.5281/zenodo.17484249 (DOI)

Funding

European Commission
mEATquality - Linking extensive husbandry practices to the intrinsic quality of pork and broiler meat 101000344
Ministry of Agriculture, Nature and Food Quality
KB-50-008-006-WFSR