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2023-12
Volume 09, issue 04
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ISSN: 2274-0422

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M3#566

3D model of the sternum of the superb lyrebird, Menura novaehollandiae.

Data citation: Alexander Bjarnason Logo and Roger Benson Logo, 2021. M3#566. doi: 10.18563/m3.sf.566

Model solid/transparent

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Download 3D model
Specimen infos
Collection

Information
Sex : indet

Age group : Adult

Age (if applicable) :

Material Type : Skull, mandible, sternum, synsacrum, scapula, coracoid, humerus, ulna, radius, carpometacarpus, femur, tibiotarsus and tarsometatarsus

Origin :

Taxonomy
Class : Aves

Order : Passeriformes

Family : Menuridae

Genus : Menura

Species :novaehollandiae


Description
3D models of the skeletal elements of the superb lyrebird, Menura novaehollandiae.

Related article
A 3D geometric morphometric dataset quantifying skeletal variation in birds
Alexander Bjarnason and Roger Benson
Published online: 09/02/2021

Keywords: 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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