Imperial College London
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Dr. Martin D. Brazeau

Faculty of Natural Sciences, Department of Life Sciences (Silwood Park)

Senior Lecturer
 
 
 
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Contact

 

+44 (0)20 7594 2254m.brazeau

 
 
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Location

 

W3.1KennedySilwood Park

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Summary

 

Publications

Citation

BibTex format

@article{Kamminga:2017:10.1038/sdata.2017.47,
author = {Kamminga, P and De, Bruin PW and Geleijns, J and Brazeau, MD},
doi = {10.1038/sdata.2017.47},
journal = {Scientific Data},
title = {X-ray computed tomography library of shark anatomy and lower jaw surface models},
url = {http://dx.doi.org/10.1038/sdata.2017.47},
volume = {4},
year = {2017}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - The cranial diversity of sharks reflects disparate biomechanical adaptations to feeding. In order to be able to investigate and better understand the ecomorphology of extant shark feeding systems, we created a x-ray computed tomography (CT) library of shark cranial anatomy with three-dimensional (3D) lower jaw reconstructions. This is used to examine and quantify lower jaw disparity in extant shark species in a separate study. The library is divided in a dataset comprised of medical CT scans of 122 sharks (Selachimorpha, Chondrichthyes) representing 73 extant species, including digitized morphology of entire shark specimens. This CT dataset and additional data provided by other researchers was used to reconstruct a second dataset containing 3D models of the left lower jaw for 153 individuals representing 94 extant shark species. These datasets form an extensive anatomical record of shark skeletal anatomy, necessary for comparative morphological, biomechanical, ecological and phylogenetic studies.
AU  - Kamminga,P
AU  - De,Bruin PW
AU  - Geleijns,J
AU  - Brazeau,MD
DO  - 10.1038/sdata.2017.47
PY  - 2017///
SN  - 2052-4463
TI  - X-ray computed tomography library of shark anatomy and lower jaw surface models
T2  - Scientific Data
UR  - http://dx.doi.org/10.1038/sdata.2017.47
UR  - http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000400151400003&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=1ba7043ffcc86c417c072aa74d649202
UR  - http://hdl.handle.net/10044/1/65124
VL  - 4
ER  -
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