Data in support of the paper 'Assessing the application of landmark-free morphometrics to macroevolutionary analyses'
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下载链接:
https://eprints.soton.ac.uk/499943/
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资源简介:
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.
提供机构:
University of Southampton
创建时间:
2025-04-10



