anonymize

README.md

@@ -18,12 +18,12 @@ size_categories:
 license: openrail
 ---
 ## Dataset Description
-2896 presacral vertebrae meshes from 95 specimens representing all families of lizards and a few snakes.
+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 [Vert-NSM GitHub Wiki](https://github.com/3D-fossils-Haag/vert-nsm/wiki/Evaluation:-shape-completion-using-synthetically-fragmented-meshes). 
+* 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.
@@ -31,7 +31,7 @@ Can be used to do train NSM models for geometric morphometrics, shape completion
 ## Citation
 
 If you use this model, its weights, data, or the underlying research in your work, please cite it using the following:
-Wolcott et al. 2026. “Vert-NSM” GitHub repository. https://github.com/3D-fossils-Haag/vert-nsm (accessed YYYY-MM-DD).    
+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.