Datasets:

BioVisionLab
/

train_data

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 95 specimens representing all families of lizards.

atlas_in/: meshes and landmarks used as an input to SlicerMorphoWeave for SSM construction and alignment
atlas_out/: aligned & scaled meshes and landmarks, SSM, dense correspondences, and mesh segments (n=7) 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)
partial_meshes.zip: partial mesh dataset used to do shape completion evaluation. created by subtracting segments from intact meshes. summarized in partial_meshing_summary.json with detailed steps on the Vert-NSM GitHub Wiki (link redacted for anonymous review).

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, data, or the underlying research in your work, please cite it using the following: Anonymous et al. 2026. “Vert-NSM” GitHub repository. https://anonymous.4open.science/r/vert-nsm-anon/ (accessed YYYY-MM-DD).

Blackburn et al. 2024. Increasing the impact of vertebrate scientific collections through 3D imaging: The openVertebrate (oVert) Thematic Collections Network. BioScience 74: 169–186.

Micro-CT datasets corresponding to 3D models are available on MorphoSource: https://www.morphosource.org/projects/000368762