Skeletal trait measurements for thousands of bird species.
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| Title: | Skeletal trait measurements for thousands of bird species. |
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| Authors: | Weeks BC; School for Environment and Sustainability, University of Michigan, Ann Arbor, Michigan, USA. bcweeks@umich.edu., Zhou Z; School of Computer Science, Carnegie Mellon University, Pittsburgh, Pennsylvania, USA., Probst CM; School for Environment and Sustainability, University of Michigan, Ann Arbor, Michigan, USA., Berv JS; School for Environment and Sustainability, University of Michigan, Ann Arbor, Michigan, USA.; Michigan Institute for Data Science, University of Michigan, Ann Arbor, Michigan, USA., O'Brien B; School for Environment and Sustainability, University of Michigan, Ann Arbor, Michigan, USA., Benz BW; Department of Ecology and Evolutionary Biology and Museum of Zoology, University of Michigan, Ann Arbor, Michigan, USA., Skeen HR; Department of Ecology and Evolutionary Biology, Princeton University, Princeton, New Jersey, USA.; Negaunee Integrative Research Center, Field Museum of Natural History, Chicago, Illinois, USA., Ziebell M; School for Environment and Sustainability, University of Michigan, Ann Arbor, Michigan, USA., Bodt L; Negaunee Integrative Research Center, Field Museum of Natural History, Chicago, Illinois, USA.; Committee on Evolutionary Biology, University of Chicago, Chicago, Illinois, USA., Fouhey DF; Computer Science, Courant Institute of Mathematical Sciences, New York University, New York, New York, USA.; Electrical & Computer Engineering, Tandon School of Engineering, New York University, New York, New York, USA. |
| Source: | Scientific data [Sci Data] 2025 May 28; Vol. 12 (1), pp. 884. Date of Electronic Publication: 2025 May 28. |
| Publication Type: | Journal Article; Dataset |
| Journal Info: | Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101640192 Publication Model: Electronic Cited Medium: Internet ISSN: 2052-4463 (Electronic) Linking ISSN: 20524463 NLM ISO Abbreviation: Sci Data Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 2052-4463 |
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| DOI: | 10.1038/s41597-025-05234-y |
