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

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3D models of extant and extinct xenarthran teeth

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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 : Kansas University Natural History Museum, Lawrence, Kansas, USA

Inventory number : KUNHM 22060, 158289


Information
Sex : indet

Age (if applicable) :

Material Type : Head endoskeleton

Origin :

Taxonomy
Class : Chondrichthyes

Order : Iniopterygiformes

Family : Sibyrhynchidae

Genus : Iniopera

Species :✝sp.


Description
Composite of specimens KUNHM 22060, 158289 rearticulated

Related article
3D models related to the publication: Evidence for high-performance suction feeding in the Pennsylvanian stem-group holocephalan Iniopera.
Richard Dearden Logo, Anthony Herrel Logo and Alan Pradel Logo
Published online: 18/01/2023

Keywords: chondrichthyan; holocephalan; iniopterygian; Pennsylvanian; suction feeding

https://doi.org/10.18563/journal.m3.177

Cite this article: Richard Dearden, Anthony Herrel and Alan Pradel, 2023. 3D models related to the publication: Evidence for high-performance suction feeding in the Pennsylvanian stem-group holocephalan Iniopera.. MorphoMuseuM 9:177. doi: 10.18563/journal.m3.177

Export citation

  Abstract

    The present 3D Dataset contains 3D models of the cranial, visceral, and pectoral endoskeleton of Iniopera, an iniopterygian stem-group holocephalan from the Pennsylvanian of the USA. These data formed the basis for the analyses carried out in Dearden et al. (2023) “Evidence for high-performance suction feeding in the Pennsylvanian stem-group holocephalan Iniopera” PNAS. 


  See original publication
  M3 article infos

Published in Volume 09, issue 01 (2023)
PDF

3D data

M3#1034

plys of the head endoskeleton of Iniopera sp.

Type: "3D_surfaces"

doi: 10.18563/m3.sf.1034

Data citation: Richard Dearden, Anthony Herrel and Alan Pradel, 2023. M3#1034. doi: 10.18563/m3.sf.1034

  state:published



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