Almécija Sergio, Pugh Kelsey D, Anaya Alisha, Smith Christopher M, Simmons Nancy B, Voss Robert S, Duncan Neil, Lunde Darrin P, Viera Megan K, Hsu Teresa, Gilissen Emmanuel, Maiolino Stephanie A, Winchester Julie M, Patel Biren A, Orr Caley M, Tocheri Matthew W, Delson Eric, Hammond Ashley S, Boyer Doug M, Catalano Santiago A
American Museum of Natural History, Division of Anthropology, New York, NY, USA.
New York Consortium in Evolutionary Primatology (NYCEP), New York, NY, USA.
Sci Data. 2024 Dec 18;11(1):1391. doi: 10.1038/s41597-024-04261-5.
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.
由于基于三维（3D）成像的形态学量化、在线数据存储库、团队合作以及开放数据共享政策的迅速发展，表型组学领域正经历着前所未有的进步。顺应这些发展趋势，我们展示了一个广泛的灵长类动物表型数据集，该数据集包含超过6000次3D扫描（数据），代表了386个个体标本的骨骼形态，涵盖了所有类人猿属（人类除外）以及其他选定的灵长类动物。数字化标本保存在美国自然历史博物馆、国家自然历史博物馆、（比利时）皇家中非博物馆、克利夫兰自然历史博物馆以及石溪大学的实物收藏中。我们的技术验证表明，尽管用于生成扫描的数字化设备多种多样，但最终的3D模型（网格）可以安全地合并以收集可比的形态测量数据。整个数据集（以及详细的相关元数据）可通过MorphoSource免费获取。因此，这些数据有助于推动灵长类动物表型组学的未来发展，并为未来其他馆藏数字数据的数字化和存档提供路线图。
