A 3D geometric morphometric dataset quantifying skeletal variation in birds
Macroevolution is integral to understanding the patterns of the diversification of life. As the life sciences increasingly use big data approaches, large multivariate datasets are required to test fundamental macroevolutionary hypotheses. In vertebrate evolution, large datasets have been created to...
| Main Authors: | , |
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| Format: | Journal article |
| Language: | English |
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Department of Paleontology of the Institut des Sciences de l’Évolution
2021
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| _version_ | 1797083349347467264 |
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| author | Bjarnason, A Benson, RBJ |
| author_facet | Bjarnason, A Benson, RBJ |
| author_sort | Bjarnason, A |
| collection | OXFORD |
| description | Macroevolution is integral to understanding the patterns of the diversification of life. As the life sciences increasingly use big data approaches, large multivariate datasets are required to test fundamental macroevolutionary hypotheses. In vertebrate evolution, large datasets have been created to quantify morphological variation, largely focusing on particular areas of the skeleton. We provide a landmarking protocol to quantify morphological variation in skeletal elements across the head, trunk, hindlimb and forelimb using 3-dimensional landmarks and semilandmarks, and present a large pan-skeletal database of bird morphology for 149 taxa across avian phylogeny using CT scan data. This large collection of 3D models and geometric morphometric data is open access and can be used in the future for new research, teaching and outreach. |
| first_indexed | 2024-03-07T01:40:31Z |
| format | Journal article |
| id | oxford-uuid:96ad8bec-2c16-4278-a384-657f309c37fd |
| institution | University of Oxford |
| language | English |
| last_indexed | 2024-03-07T01:40:31Z |
| publishDate | 2021 |
| publisher | Department of Paleontology of the Institut des Sciences de l’Évolution |
| record_format | dspace |
| spelling | oxford-uuid:96ad8bec-2c16-4278-a384-657f309c37fd2022-03-26T23:54:43ZA 3D geometric morphometric dataset quantifying skeletal variation in birdsJournal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:96ad8bec-2c16-4278-a384-657f309c37fdEnglishSymplectic ElementsDepartment of Paleontology of the Institut des Sciences de l’Évolution2021Bjarnason, ABenson, RBJMacroevolution is integral to understanding the patterns of the diversification of life. As the life sciences increasingly use big data approaches, large multivariate datasets are required to test fundamental macroevolutionary hypotheses. In vertebrate evolution, large datasets have been created to quantify morphological variation, largely focusing on particular areas of the skeleton. We provide a landmarking protocol to quantify morphological variation in skeletal elements across the head, trunk, hindlimb and forelimb using 3-dimensional landmarks and semilandmarks, and present a large pan-skeletal database of bird morphology for 149 taxa across avian phylogeny using CT scan data. This large collection of 3D models and geometric morphometric data is open access and can be used in the future for new research, teaching and outreach. |
| spellingShingle | Bjarnason, A Benson, RBJ A 3D geometric morphometric dataset quantifying skeletal variation in birds |
| title | A 3D geometric morphometric dataset quantifying skeletal variation in birds |
| title_full | A 3D geometric morphometric dataset quantifying skeletal variation in birds |
| title_fullStr | A 3D geometric morphometric dataset quantifying skeletal variation in birds |
| title_full_unstemmed | A 3D geometric morphometric dataset quantifying skeletal variation in birds |
| title_short | A 3D geometric morphometric dataset quantifying skeletal variation in birds |
| title_sort | 3d geometric morphometric dataset quantifying skeletal variation in birds |
| work_keys_str_mv | AT bjarnasona a3dgeometricmorphometricdatasetquantifyingskeletalvariationinbirds AT bensonrbj a3dgeometricmorphometricdatasetquantifyingskeletalvariationinbirds AT bjarnasona 3dgeometricmorphometricdatasetquantifyingskeletalvariationinbirds AT bensonrbj 3dgeometricmorphometricdatasetquantifyingskeletalvariationinbirds |