Digital reconstruction of the skull of Sarmientosaurus musacchioi
3D models of amphisbaenians from the Paleogene of North Africa
3D models of the ear region of Eotragus and Pusillutragus
3D GM dataset of bird skeletal variation
Skeletal embryonic development in the catshark
Bony connexions of the petrosal bone of extant hippos
bony labyrinth (11) , inner ear (10) , Eocene (8) , South America (8) , Paleobiogeography (7) , skull (7) , phylogeny (6)
Maƫva Judith Orliac (21) , Lionel Hautier (21) , Laurent Marivaux (14) , Bastien Mennecart (12) , Pierre-Olivier Antoine (11) , Renaud Lebrun (10) , Rodolphe Tabuce (10)
3D model of the left humerus of the superb lyrebird, Menura novaehollandiae (displayed as a mirror image in the 3DHOP viewer).
Data citation:
Alexander Bjarnason and Roger Benson
, 2021. M3#569. doi: 10.18563/m3.sf.569
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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