10.18710/T9SXVF Heggli, Andrew Andrew Heggli Norwegian University of Life Sciences (NMBU) Gangsei, Lars Erik Lars Erik Gangsei Animalia Røe, Morten Morten Røe Animalia Alvseike, Ole Ole Alvseike Animalia Vinje, Hilde Hilde Vinje Norwegian University of Life Sciences (NMBU) DataverseNO 2021 Agricultural Sciences EUROP beef bovine animals prediction fat conformation carcass grading Norwegian University of Life Sciences (NMBU) Norwegian University of Life Sciences (NMBU) Norwegian University of Life Sciences (NMBU) Heggli, Andrew Andrew Heggli Norwegian University of Life Sciences (NMBU) Røe, Morten Morten Røe 2020-10-13 2021-04-09 2023-09-28 2018-01-18/2020-03-12 2018-01-18/2020-10-09 Observational data 10.1080/09064702.2021.1906940 10.18710/T9SXVF/LYT4XB 10.18710/T9SXVF/CRHEBW 10.18710/T9SXVF/FBKOCM 6652 19967 8184 text/plain text/plain text/plain 1.1 Creative Commons CC0 1.0 Universal Public Domain Dedication. R-script and metadata accompanying data for 'Objective carcass grading for bovine animals based on carcass length'. Data set is archived separately and available only upon request to Animalia AS (animalia@animalia.no). The aims of the study were to evaluate prediction precision and bias for beef carcass conformation and fat cover when graded with a novel semi-automatic method, based on measurements of carcass length. Data for this study included conformation and fat cover, as well as other variables used to calculate prediction precision and biasedness estimates. Prediction precision and biasedness were evaluated for a test set including carcasses classified by Norwegian classifiers, and a separate test set for carcasses classified by international classifiers. Norway Norway Animalia The Research Council of Norway