Abstract

AbstractMotivationA species’ diet is central to understanding many aspects of its biology, including its behaviour, movement, and ecological niche. The diets of terrestrial carnivorous mammals, defined here as species primarily consuming other mammals (hereafter, mammal‐consumers), have been extensively studied and can vary in the proportion of different food types, and species, consumed across their geographic ranges. Accessibility to data capturing such variation in diets of mammal‐consumers across the variety of ecosystems they occur in would provide valuable information for conservation, and open research avenues for macroevolution and macroecology. However, data on mammal‐consumer diets across their geographic ranges have not been systematically collated. Here, we present CarniDIET (version 1.0), an open‐access database containing quantitative data on the diets of terrestrial mammal‐consumers collated from the literature.Main types of variable containedDiet records capturing the percentage of mammalian prey, to the highest taxonomic resolution available, and non‐mammalian food types (e.g., birds, invertebrates) in the diets of mammal‐consumers at specific sites and times. Associated data with each diet record include, where available, age and sex of mammal‐consumer, sample size, sample origin, and quantification method as well as spatial and temporal variables including dates, season, study site, altitude and coordinates.Spatial location and grainGlobal, terrestrial. The spatial grain varies among sites from 0.03 to 100,000 km2, with a median of 170 km2. Study centroids are provided as latitude‐longitude coordinates.Time period and grainOriginal diet samples were collected between 1933 and 2017, with half of studies collected between 1994 and 2008. Studies summarize diets from 1 month to 66 years, with a median of 1 year.Major taxa and level of measurementTerrestrial carnivorous mammals that primarily consume other mammals (103 species). Studies generally represent species’ population averages, although can include demographic breakdowns.

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