3D models of Ocnotherium skull
3D models of Kalakocetus, the earliest Cetacea
Explodable 3D Dog Skull for Veterinary Education
3D GM dataset of bird skeletal variation
Skeletal embryonic development in the catshark
Bony connexions of the petrosal bone of extant hippos
bony labyrinth (14) , inner ear (11) , Eocene (11) , geometric morphometrics (10) , CT-scan (10) , Oligocene (9) , Micro-CT (9)
Maƫva Judith Orliac (24) , Lionel Hautier (24) , Laurent Marivaux (18) , Renaud Lebrun (15) , Rodolphe Tabuce (14) , Pierre-Olivier Antoine (13) , Bastien Mennecart (13)
3D model of the skull of the superb lyrebird, Menura novaehollandiae.
Data citation:
Alexander Bjarnason and Roger Benson
, 2021. M3#568. doi: 10.18563/m3.sf.568
Model solid/transparent
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A 3D geometric morphometric dataset quantifying skeletal variation in birdsAlexander Bjarnason and Roger BensonPublished online: 09/02/2021Keywords: birds; geometric morphometrics; macroevolution; Morphology; skeleton https://doi.org/10.18563/journal.m3.125 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. The 3D models and CT scans of the 149 specimens related to this project can be downloaded at MorphoSource (https://www.morphosource.org/projects/00000C420) M3 article infos Published in Volume 07, issue 01 (2021) |
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