A proliferation of file formats exist for 3D surfaces. The most widely used scheme to store surfaces is as triangular meshes, using vertices (points in 3D) and faces (usually triangles which describe the connectivity of the vertices). Additionally, values can be stored either on the vertices or faces. We propose the same convention to store surfaces in NeuroHDF. Additionally, level-of-detail meshes can be expressed with an additional group indirection.

Useful for neuroscience data types

  • Cortical and subcortical surface-based atlases
  • Morphology of neurons or subcellular components

Tool supporting this specification

None so far.

Example generation

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Behavioral datasets