The mammal collection at the University of Kansas Natural History Museum is one of the world's largest (the fifth-largest mammal collection in North America and the third-largest university collection in the world). The most common preparation type is a prepared skin, with the skull cleaned and stored in a separate container (our preparation code is SS). The second most common is a skin with the entire skeleton cleaned and stored separately (SB). Some specimens consist only of a skull (SK) or cranium (CO). Other specimens may consist of a partial skeleton (PS), an entire skeleton (SN), or only a skin (SO). Many of our specimens are stored in alcohol (AL), or are in alcohol with the skull removed and cleaned (SA). Tissues associated with any of these preparation types are noted as a separate field in our database. Because there are active public education and exhibit programs in the KU Natural History Museum, a few of our specimens are taxidermy mounts (BM) and some are housed permanently on exhibit. Other preparation types are coded as “other” (OT). Occasionally, specimens are prepared with the baculum or os clitoris and separately stored in preserving fluid. Non-standard preparation types and additional materials are noted in a comments field in our database. We have extensive historical collections from Central America, Mexico, and southeast, central, and western regions of the United States and Alaska. We recently added outstanding collections from the Philippines and New Guinea. We anticipate continuing to maintain our strengths in these geographic regions, emphasizing bats, rodents and insectivores—current taxonomic strengths. Most of our collection consists of nicely prepared skins, skulls, and complete skeletons, with most recent specimens accompanied by tissues.

GBIF url: https://www.gbif.org/dataset/1d04e739-98a9-4e16-9970-8f8f3bf9e9e3
Homepage: http://biodiversity.ku.edu/mammalogy/collections
Citation: Bentley A, Krejsa D (2026). KUBI Mammalogy Collection. University of Kansas Biodiversity Institute. Occurrence dataset https://doi.org/10.15468/a3woj7 accessed via GBIF.org on 2026-06-11.