Evidence map›Paper›PMID 39695181›Full record

ArticleScientific data2024

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 and 10 more

Abstract readDataset
In one paragraph

Article in Scientific data, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

20 authors.

Sergio AlmécijaAmerican Museum of Natural History, Division of Anthropology, New York, NY, USA. salmecija@amnh.org.ORCID 0000-0003-1373-1497
Kelsey D PughAmerican Museum of Natural History, Division of Anthropology, New York, NY, USA.ORCID 0000-0001-8029-0623
Alisha AnayaDuke University, Department of Evolutionary Anthropology, Durham, NC, USA.
Christopher M SmithAmerican Museum of Natural History, Division of Anthropology, New York, NY, USA.ORCID 0000-0001-9259-1079
Nancy B SimmonsAmerican Museum of Natural History, Department of Mammalogy, Division of Vertebrate Zoology, New York, NY, USA.ORCID 0000-0001-8807-7499
Robert S VossAmerican Museum of Natural History, Department of Mammalogy, Division of Vertebrate Zoology, New York, NY, USA.ORCID 0000-0002-4093-5287
Neil DuncanAmerican Museum of Natural History, Department of Mammalogy, Division of Vertebrate Zoology, New York, NY, USA.
Darrin P LundeNational Museum of Natural History, Division of Mammals, Washington, DC, USA.
Megan K VieraNational Museum of Natural History, Division of Mammals, Washington, DC, USA.
Teresa HsuNational Museum of Natural History, Division of Mammals, Washington, DC, USA.
Emmanuel GilissenRoyal Museum for Central Africa, Department of African Zoology, Tervuren, Belgium.
Stephanie A MaiolinoRenaissance School of Medicine at Stony Brook University, Stony Brook, NY, USA.ORCID 0000-0003-4217-1791
Julie M WinchesterDuke University, Department of Evolutionary Anthropology, Durham, NC, USA.
Biren A PatelUniversity of Southern California, Keck School of Medicine, Department of Integrative Anatomical Sciences, Los Angeles, CA, USA.
Caley M OrrUniversity of Colorado School of Medicine, Department of Cell and Developmental Biology, Aurora, CO, USA.ORCID 0000-0003-1156-1543
Matthew W TocheriLakehead University, Department of Anthropology, Thunder Bay, Ontario, Canada.ORCID 0000-0001-7600-8998
Eric DelsonNew York Consortium in Evolutionary Primatology (NYCEP), New York, NY, USA.ORCID 0000-0002-4062-7567
Ashley S HammondAmerican Museum of Natural History, Division of Anthropology, New York, NY, USA.ORCID 0000-0001-8444-0553
Doug M BoyerDuke University, Department of Evolutionary Anthropology, Durham, NC, USA.
Santiago A CatalanoAmerican Museum of Natural History, Division of Anthropology, New York, NY, USA.ORCID 0000-0001-9153-1365

Funding

National Science Foundation (NSF) BCS 1317047National Science Foundation (NSF) BCS 1539741National Science Foundation (NSF) BCS 2316552National Science Foundation (NSF) DBI 2149257National Science Foundation (NSF) DBI 2311380National Science Foundation (NSF) DGE 0966166
6 · The paper itself

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.

Indexed as

Imaging, Three-DimensionalPhenotypePrimatesAnimalsMuseums

Identifiers

PMID39695181
PMCPMC11655552

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.