3D models of Arthropleura sp. from the Montceau-les-Mines Lagerstätte
Femoral morphology and locomotor ecology of the oldest fossil squirrels
The specimens of Speothos pacivorus
3D GM dataset of bird skeletal variation
Skeletal embryonic development in the catshark
Bony connexions of the petrosal bone of extant hippos
bony labyrinth (11) , inner ear (10) , Eocene (8) , South America (8) , Paleobiogeography (7) , skull (7) , phylogeny (6)
Lionel Hautier (21) , Maëva Judith Orliac (19) , Laurent Marivaux (14) , Bastien Mennecart (12) , Pierre-Olivier Antoine (11) , Renaud Lebrun (10) , Rodolphe Tabuce (10)
3D models related to the publication: Hide and seek shark teeth in Random Forests: Machine learning applied to Scyliorhinus caniculaFidji Berio , Yann Bayle , Sylvie Agret, Daniel Baum , Nicolas Goudemand and Mélanie Debiais-ThibaudPublished online: 24/05/2022Keywords: 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 citationAbstract 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) |
|
M3#925Head of a 28.0 cm long Scyliorhinus canicula male from a Mediterranean population. Type: "3D_surfaces"doi: 10.18563/m3.sf.925 Data citation: Fidji Berio, Yann Bayle, Sylvie Agret, Daniel Baum, Nicolas Goudemand and Mélanie Debiais-Thibaud, 2022. M3#925. doi: 10.18563/m3.sf.925 state:published |
Download 3D surface file |