Data in support of the paper 'Assessing the application of landmark-free morphometrics to macroevolutionary analyses'
Data in support of the paper 'Assessing the application of landmark-free morphometrics to macroevolutionary analyses'
This data is the primary data used in the manuscript titled: 'Assessing the application of landmark-free morphometrics to macroevolutionary analyses' published in BMC Ecology and Evolution.
The DOI for this dataset is: https://doi.org/10.5258/SOTON/D3451. This link includes: (1) Inputs.zip: The input data for each analysis conducted in the manuscript, including the .vtk mesh files and .xml files for each analysis; (2) Aligned_Only_Analysis_Outputs.zip: The output files from the Deterministic Atlas Analysis (DAA) using the Aligned-Only mesh data; (3) Poisson_Mesh_Analysis_Outputs.zip: The output files from the Deterministic Atlas Analysis (DAA) using the Poisson mesh data.
All additional data related to the paper "Assessing the application of landmark-free morphometrics to macroevolutionary analyses" can be found here or on the GitHub: https://github.com/JamesMulqueeney/Deterministic-Atlas-Analysis.
All code and scripts are either in Python or R. Extensive descriptions on the methodology and functions can be found at https://gitlab.com/icm-institute/aramislab/deformetrica/-/wikis/home and the full descriptions of the pipeline can be found at https://gitlab.com/ntoussaint/landmark-free-morphometry.
Phenotypes, Morphometrics, Geometric Morphometrics, Landmark-free Morphometrics, Mammalia, Shape
University of Southampton
Mulqueeney, James Michael
20bf3f65-5f1a-4836-bccd-f8c97c6f61ab
Ezard, Tom
a143a893-07d0-4673-a2dd-cea2cd7e1374
Goswami, Anjali
6cabd1ea-0df2-440d-8ea0-3294bbcb1bbd
Mulqueeney, James Michael
20bf3f65-5f1a-4836-bccd-f8c97c6f61ab
Ezard, Tom
a143a893-07d0-4673-a2dd-cea2cd7e1374
Goswami, Anjali
6cabd1ea-0df2-440d-8ea0-3294bbcb1bbd
Mulqueeney, James Michael
(2025)
Data in support of the paper 'Assessing the application of landmark-free morphometrics to macroevolutionary analyses'.
University of Southampton
doi:10.5258/SOTON/D3451
[Dataset]
Abstract
This data is the primary data used in the manuscript titled: 'Assessing the application of landmark-free morphometrics to macroevolutionary analyses' published in BMC Ecology and Evolution.
The DOI for this dataset is: https://doi.org/10.5258/SOTON/D3451. This link includes: (1) Inputs.zip: The input data for each analysis conducted in the manuscript, including the .vtk mesh files and .xml files for each analysis; (2) Aligned_Only_Analysis_Outputs.zip: The output files from the Deterministic Atlas Analysis (DAA) using the Aligned-Only mesh data; (3) Poisson_Mesh_Analysis_Outputs.zip: The output files from the Deterministic Atlas Analysis (DAA) using the Poisson mesh data.
All additional data related to the paper "Assessing the application of landmark-free morphometrics to macroevolutionary analyses" can be found here or on the GitHub: https://github.com/JamesMulqueeney/Deterministic-Atlas-Analysis.
All code and scripts are either in Python or R. Extensive descriptions on the methodology and functions can be found at https://gitlab.com/icm-institute/aramislab/deformetrica/-/wikis/home and the full descriptions of the pipeline can be found at https://gitlab.com/ntoussaint/landmark-free-morphometry.
Archive
Inputs.zip
- Dataset
Archive
Aligned_Only_Analysis_Outputs.zip
- Dataset
Archive
Poisson_Mesh_Analysis_Outputs.zip
- Dataset
More information
Published date: 7 April 2025
Keywords:
Phenotypes, Morphometrics, Geometric Morphometrics, Landmark-free Morphometrics, Mammalia, Shape
Identifiers
Local EPrints ID: 499943
URI: http://eprints.soton.ac.uk/id/eprint/499943
PURE UUID: 2556c66d-29d8-4aa1-a6e4-44af1bbdfe2e
Catalogue record
Date deposited: 09 Apr 2025 16:35
Last modified: 10 Apr 2025 02:10
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Contributors
Contributor:
Tom Ezard
Contributor:
Anjali Goswami
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