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Journal article

A 3D geometric morphometric dataset quantifying skeletal variation in birds

Abstract:
Macroevolution is integral to understanding the patterns of the diversification of life. As the life sciences increasingly use big data approaches, large multivariate datasets are required to test fundamental macroevolutionary hypotheses. In vertebrate evolution, large datasets have been created to quantify morphological variation, largely focusing on particular areas of the skeleton. We provide a landmarking protocol to quantify morphological variation in skeletal elements across the head, trunk, hindlimb and forelimb using 3-dimensional landmarks and semilandmarks, and present a large pan-skeletal database of bird morphology for 149 taxa across avian phylogeny using CT scan data. This large collection of 3D models and geometric morphometric data is open access and can be used in the future for new research, teaching and outreach.
Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.18563/journal.m3.125

Authors

More by this author
Institution:
University of Oxford
Division:
MPLS
Department:
Earth Sciences
Role:
Author
More by this author
Institution:
University of Oxford
Division:
MPLS
Department:
Earth Sciences
Role:
Author


Publisher:
Department of Paleontology of the Institut des Sciences de l’Évolution
Journal:
MorphoMuseuM More from this journal
Volume:
7
Issue:
1
Article number:
e125
Publication date:
2021-02-09
Acceptance date:
2021-02-01
DOI:
ISSN:
2274-0422


Language:
English
Keywords:
Pubs id:
1160075
Local pid:
pubs:1160075
Deposit date:
2021-02-05
ARK identifier:

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