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2024-12
Volume 10, issue 04
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ISSN: 2274-0422

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bony labyrinth (11) , inner ear (10) , Eocene (8) , South America (8) , Paleobiogeography (7) , skull (7) , phylogeny (6)

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ISEM, Montpellier (309) , LBBE, Villeurbanne, France (66) , no collection. (61) , MUSM, Lima (52) , NHM, London (49) , MNHN, Paris (40) , CARC, Kyoto (37)

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Specimen infos
Collection
Collection : Centro de Apoio à Pesquisa Paleontológica da Quarta Colônia - Universidade Federal de Santa Maria

Inventory number : CAPPA/UFSM 0030


Information
Sex : indet

Age (if applicable) : Late Triassic

Material Type : Brain endocast

Origin :

Taxonomy
Class : Therapsida

Order : Cynodontia

Family : Traversodontidae

Genus : Exaeretodon

Species :✝riograndensis


Description
3D model of the brain endocast.

Related article
3D models related to the publication: Virtual reconstruction of cranial endocasts of traversodontid cynodonts (Eucynodontia: Gomphodontia) from the upper Triassic of Southern Brazil.
Ane E. B. Pavanatto Logo, Leonardo Kerber Logo and Sérgio Dias-da-Silva Logo
Published online: 10/09/2019

Keywords: CT-scan; Cynognathia; endocranial morphology; Exaeretodon; Siriusgnathus

https://doi.org/10.18563/journal.m3.97

Cite this article: Ane E. B. Pavanatto, Leonardo Kerber and Sérgio Dias-da-Silva, 2019. 3D models related to the publication: Virtual reconstruction of cranial endocasts of traversodontid cynodonts (Eucynodontia: Gomphodontia) from the upper Triassic of Southern Brazil. MorphoMuseuM 5:e97. doi: 10.18563/journal.m3.97

Export citation

  Abstract

    The present 3D Dataset contains the 3D models of brain endocast of traversodontid cynodonts studied in: Pavanatto et al. 2019. Virtual reconstruction of cranial endocasts of traversodontid cynodonts (Eucynodontia: Gomphodontia) from the upper Triassic of Southern Brazil. Journal of Morphology. https://doi.org/10.1002/jmor.21029 


  See original publication
  M3 article infos

Published in Volume 05, issue 04 (2019)
PDF

3D data

M3#426

3D model of the brain endocast

Type: "3D_surfaces"

doi: 10.18563/m3.sf.426

Data citation: Ane E. B. Pavanatto, Leonardo Kerber and Sérgio Dias-da-Silva, 2019. M3#426. doi: 10.18563/m3.sf.426

  state:published



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