Datasets:
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Download README.md from BioVisionLab/train_data: direct link, hf CLI and curl.
- Browser
- Download file 1.08 kB
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https://huggingface.co/datasets/BioVisionLab/train_data/resolve/5b2a07e7e6d033a4d9f56549f779fbc2be08464f/README.md
- Command line
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hf download hf://datasets/BioVisionLab/train_data@5b2a07e7e6d033a4d9f56549f779fbc2be08464f/README.md
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curl -L -o README.md https://huggingface.co/datasets/BioVisionLab/train_data/resolve/5b2a07e7e6d033a4d9f56549f779fbc2be08464f/README.md
1.08 kB
| language: | |
| - en | |
| tags: | |
| - vertebrae | |
| - squamate | |
| - reptile | |
| - reptilia | |
| - lizard | |
| - snake | |
| - vertebra | |
| - spine | |
| - bone | |
| - mesh | |
| - landmark | |
| size_categories: | |
| - 1K<n<10K | |
| license: openrail | |
| ## Dataset Description | |
| 2896 presacral vertebrae meshes from 94 specimens representing all families of lizards and a few snakes. | |
| * atlas_in/: meshes and landmarks used as an input to SlicerMorphoWeave for SSM construction and alignment | |
| * atlas_out/: aligned & scaled meshes and landmarks, SSM, and dense correspondences produced by SlicerMorphoWeave | |
| * vertebrae_meshes.zip: final mesh dataset used to train models run_v72, run_v73c, run_v73h (meshes are aligned and scaled so only shape differences are learned) | |
| ## Data Use | |
| Can be used to do train NSM models for geometric morphometrics, shape completion, and classification of squamate vertebrae. | |
| ## Citation | |
| If you use this model, its weights, or the underlying research in your work, please cite it using the following: | |
| Wolcott et al. 2026. “Squamate NSM” GitHub repository. https://github.com/3D-fossils-Haag/nsm (accessed YYYY-MM-DD). |