Data for "A global dataset of enteric methane mitigation experiments with lactating and non-lactating dairy cows conducted from 1963 to 2022"

Descriptive information was collected from 213 peer-reviewed scientific publications reporting on dairy cow experiments with enteric methane measurements. The current dataset was based on the bibliography used by Arndt et al. 2022, to which studies conducted from 2019 to 2022 were added. All articles were identified for inclusion in the dataset using the “Web of Science Core Collection” database with the search term “methane” in combination with “dairy”, “cattle”, “rumen”, or “ruminant”. Additionally, the search term “rumen” was used in combination with “energy balance”, “energy metabolism”, or “energy partitioning”. A final search was conducted with the terms “enteric” and “dairy”. To be included in the dataset, studies needed to be written in English, include information on enteric methane emission, and at a minimum, report feed dry matter intake with measures of variance. Both continuous and crossover design studies were included. The dataset includes 797 records (rows) and 162 variables (columns). The variables include publication information, experimental design, animal description, methane measurement method, and diet nutrient composition, as well as, where available, treatment means and measures of variance for feed dry matter intake, rumen fermentation parameters, nutrient digestibility, nitrogen excretion, milk yield and milk components, and enteric methane, carbon dioxide, and hydrogen emissions. The dataset can be used by researchers seeking to quantify the efficacy of various enteric methane mitigation strategies and their impact on milk yield and other important dairy cow nutrition and performance variables. Additionally, it can be used to explore potential nutrient and feed additive interactions. The N balance results on reference number 422, Bayat et al. (2018), were corrected on 09/11/2023 to reflect the appropriate units reported in the study.