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

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3D models of Arthropleura sp. from the Montceau-les-Mines Lagerstätte

Femoral morphology and locomotor ecology of the oldest fossil squirrels

Skull of Indohyus indirae

Most cited articles

3D GM dataset of bird skeletal variation

Skeletal embryonic development in the catshark

Bony connexions of the petrosal bone of extant hippos

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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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Lionel Hautier (21) , Maëva Judith Orliac (19) , Laurent Marivaux (14) , Bastien Mennecart (12) , Pierre-Olivier Antoine (11) , Renaud Lebrun (10) , Rodolphe Tabuce (10)

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ISEM, Montpellier (285) , LBBE, Villeurbanne, France (66) , no collection. (61) , MUSM, Lima (51) , NHM, London (49) , CARC, Kyoto (37) , Zürich Zool. Museum (36)

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M3#1577

Left femur of Palaeosciurus goti

Data citation: Jan Wölfer Logo and Lionel Hautier Logo, 2024. M3#1577. doi: 10.18563/m3.sf.1577

Model solid/transparent

Download 3D model
Specimen infos
Collection
Collection : Université de Montpellier : Institut des Sciences de l'Evolution, Montpellier, France

Inventory number : MGB125


Information
Sex : indet

Age group : Adult

Age (if applicable) : lower Oligocene

Material Type : Femur

Origin : French Quercy locality of Mas de Got

Taxonomy
Class : Mammalia

Order : Rodentia

Family : Sciuridae

Genus : Palaeosciurus

Species :✝goti


Description
Left femur

Related article
3D models of fossil specimens related to the publication: Inferring the locomotor ecology of two of the oldest fossil squirrels: influence of operationalisation, trait, body size, and machine learning method
Jan Wölfer and Lionel Hautier
Published online: 09/10/2024

Keywords: femur; geometric morphometrics; Palaeosciurus; rodents; Sciuridae

https://doi.org/10.18563/journal.m3.246

  Abstract

    This 3D Dataset includes the 3D models analysed in Wölfer J & Hautier L. 2024 Inferring the locomotor ecology of two of the oldest fossil squirrels: influence of operationalisation, trait, body size, and machine learning method. Proceedings of the Royal Society B. https://doi.org/10.1098/rspb.2024-0743
      


  M3 article infos

Article state: in_press
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