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2023-03
Volume 09, issue 01
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ISSN: 2274-0422

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Most downloaded articles

Skull morphology of Probelesodon kitchingi revisited

3D model of the holotype of Hispanomeryx linxiaensis and "Micromeryx" caoi

3D model related to the publication: Occurrence of the ground sloth Nothrotheriops (Xenarthra, Folivora) in the Late Pleistocene of Uruguay: New information on its dietary and habitat preferences based on stable isotope analysis

Most popular keywords

bony labyrinth (11) , inner ear (9) , South America (7) , skull (7) , Eocene (7) , brain (6) , Oligocene (6)

Major contributors

Maëva Orliac (15) , Lionel Hautier (14) , Bastien Mennecart (12) , Leonardo Kerber (9) , Rodolphe Tabuce (9) , Pierre-Olivier Antoine (9) , Laurent Marivaux (8)

Most represented collections

ISEM, Montpellier (213) , no collection. (41) , CARC, Kyoto (37) , Zürich Zool. Museum (36) , NMB, Basel (30) , MUSM, Lima (28) , MNHN, Paris (25)

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Specimen infos
Collection
Collection : Université de Montpellier : Institut des Sciences de l'Evolution, Montpellier, France

Inventory number : 190118F


Information
Sex : male

Age group : Neonate

Age (if applicable) :

Material Type : head

Origin : Mediterranean

Taxonomy
Class : Chondrichthyes

Order : Carcharhiniformes

Family : Scyliorhinidae

Genus : Scyliorhinus

Species :canicula


Description
Head of a 9.1 cm long Scyliorhinus canicula from a Mediterranean population.

Related article
3D models related to the publication: Hide and seek shark teeth in Random Forests: Machine learning applied to Scyliorhinus canicula
Fidji Berio, Yann Bayle, Sylvie Agret, Daniel Baum, Nicolas Goudemand and Mélanie Debiais-Thibaud
Published online: 24/05/2022

Keywords: geometric morphometrics; machine learning; Scyliorhinus canicula; sharks; tooth morphology

https://doi.org/10.18563/journal.m3.164

Cite this article: Fidji Berio, Yann Bayle, Sylvie Agret, Daniel Baum, Nicolas Goudemand and Mélanie Debiais-Thibaud, 2022. 3D models related to the publication: Hide and seek shark teeth in Random Forests: Machine learning applied to Scyliorhinus canicula. MorphoMuseuM 8:164. doi: 10.18563/journal.m3.164

Export citation

  Abstract

    The present dataset contains the 3D models analyzed in Berio, F., Bayle, Y., Baum, D., Goudemand, N., and Debiais-Thibaud, M. 2022. Hide and seek shark teeth in Random Forests: Machine learning applied to Scyliorhinus canicula. It contains the head surfaces of 56 North Atlantic and Mediterranean small-spotted catsharks Scyliorhinus canicula, from which tooth surfaces were further extracted to perform geometric morphometrics and machine learning. 


  See original publication
  M3 article infos

Published in Volume 08, issue 02 (2022)
PDF

3D data

M3#928

Head of a 9.1 cm long Scyliorhinus canicula male from a Mediterranean population.

Type: "3D_surfaces"

doi: 10.18563/m3.sf.928

Data citation: Fidji Berio, Yann Bayle, Sylvie Agret, Daniel Baum, Nicolas Goudemand and Mélanie Debiais-Thibaud, 2022. M3#928. doi: 10.18563/m3.sf.928

  state:published



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