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Primate Phenotypes: A Multi-Institution Collection of 3D Morphological Data Housed in MorphoSource

  • Sergio Almécija
  • , Kelsey D. Pugh
  • , Alisha Anaya
  • , Christopher M. Smith
  • , Nancy B. Simmons
  • , Robert S. Voss
  • , Neil Duncan
  • , Darrin P. Lunde
  • , Megan K. Viera
  • , Teresa Hsu
  • , Emmanuel Gilissen
  • , Stephanie A. Maiolino
  • , Julie M. Winchester
  • , Biren A. Patel
  • , Caley M. Orr
  • , Matthew W. Tocheri
  • , Eric Delson
  • , Ashley S. Hammond
  • , Doug M. Boyer
  • , Santiago A. Catalano
  • American Museum of Natural History
  • New York Consortium in Evolutionary Primatology (NYCEP)
  • Cerdanyola del Vallès
  • University of Toronto
  • Duke University
  • Smithsonian Institution
  • Royal Museum for Central Africa
  • Université libre de Bruxelles
  • University of Southern California
  • University of Colorado Anschutz Medical Campus
  • University of Colorado Denver
  • Lakehead University
  • University of Wollongong
  • City University of New York
  • Consejo Nacional de Investigaciones Científicas y Técnicas
  • Universidad Nacional de Tucuman

Research output: Contribution to journalArticlepeer-review

6 Scopus citations

Abstract

The field of phenomics is experiencing unprecedented advances thanks to the rapid growth of morphological quantification based on three-dimensional (3D) imaging, online data repositories, team-oriented collaborations, and open data-sharing policies. In line with these progressions, we present an extensive primate phenotypic dataset comprising >6,000 3D scans (media) representing skeletal morphologies of 386 individual specimens covering all hominoid genera (except humans) and other selected primates. The digitized specimens are housed in physical collections at the American Museum of Natural History, the National Museum of Natural History, the Royal Museum for Central Africa (Belgium), the Cleveland Museum of Natural History, and Stony Brook University. Our technical validation indicates that despite the diverse digitizing devices used to produce the scans, the final 3D models (meshes) can be safely combined to collect comparable morphometric data. The entire dataset (and detailed associated metadata) is freely available through MorphoSource. Hence, these data contribute to empowering the future of primate phenomics and providing a roadmap for future digitization and archiving of digital data from other collections.

Original languageEnglish
Article number1391
JournalScientific Data
Volume11
Issue number1
DOIs
StatePublished - Dec 2024

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