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2024-06
Volume 10, issue 02
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ISSN: 2274-0422

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

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Specimen infos
Collection
Collection : École et Observatoire des Sciences de la Terre de Strasbourg, Université de Strasbourg, France

Inventory number : UNISTRA.2015.0.1106


Information
Sex : indet

Age (if applicable) : early Oligocene (Early Orellan NALMA)

Material Type : Skull

Origin : Oreodon zone, Big Badlands, South Dakota, United States

Taxonomy
Class : Mammalia

Order : Perissodactyla

Family : Amynodontidae

Genus : Metamynodon

Species :✝planifrons


Description
Skull with right C1 and both rows of P2-M3

Related article
3D model related to the publication: Cranial morphology and phylogenetic relationships of Amynodontidae Scott & Osborn, 1883 (Perissodactyla, Rhinocerotoidea)
Léa Veine-Tonizzo Logo, Jérémy Tissier Logo, Maia Bukhsianidze, Davit Vasilyan Logo and Damien Becker Logo
Published online: 20/03/2023

Keywords: Amynodontidae; Eocene; Oligocene; phylogeny; Rhinocerotoidea

https://doi.org/10.18563/journal.m3.139

Cite this article: Léa Veine-Tonizzo, Jérémy Tissier, Maia Bukhsianidze, Davit Vasilyan and Damien Becker, 2023. 3D model related to the publication: Cranial morphology and phylogenetic relationships of Amynodontidae Scott & Osborn, 1883 (Perissodactyla, Rhinocerotoidea). MorphoMuseuM 7:e139. doi: 10.18563/journal.m3.139

Export citation

  Abstract

    The present 3D Dataset contains the 3D model of a specimen of Metamynodon planifrons (UNISTRA.2015.0.1106) described and figured in: Veine-Tonizzo, L., Tissier, J., Bukhsianidze, M., Vasilyan, D., Becker, D., 2023, Cranial morphology and phylogenetic relationships of Amynodontidae Scott & Osborn, 1883 (Perissodactyla, Rhinocerotoidea). 


  See original publication
  M3 article infos

Published in Volume 09, issue 01 (2023)
PDF

3D data

M3#716

Textured 3D surface model of the skull of the specimen UNISTRA.2015.0.1106 with right C1 and both rows of P2-M3.

Type: "3D_surfaces"

doi: 10.18563/m3.sf.716

Data citation: Léa Veine-Tonizzo, Jérémy Tissier, Maia Bukhsianidze, Davit Vasilyan and Damien Becker, 2023. M3#716. doi: 10.18563/m3.sf.716

  state:published



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