Digital 3D models and measurements of avian brain cavity, blood vessel and nerve endocasts

  • S.A. Walsh (Creator)
  • A. N. Iwaniuk (Creator)
  • M. A. Knoll (Creator)
  • E. Bourdon (Creator)
  • P. M. Barrett (Creator)
  • A. Milner (Creator)
  • R. Nudds (Creator)
  • R. L. Abel (Creator)
  • Patricia Dello Sterpaio (Creator)



    This dataset comprises cast reconstructions of brain cavity space in 60 extant avian species, derived from X-ray micro computed-tomography scan image stacks. Each reconstruction was made using Materialise Mimics 14.11 to create volumetric models (brain cavity casts) that were then transformed into the polygon mesh stereolithograph (STL) files archived here. Brain cavity cast models are in most cases accompanied by casts of main vascular features (e.g., carotid arteries) and the olfactory nerves (CN I). A data file (Data_TableComma Separated Values) based on values reported in Table 1 of Walsh et al. (2013: doi:10.1371/journal.pone.0067176) is included that records volume values used in the original analysis, and coding of cerebellar flocculus morphology.

    Provenance & Quality: Data were collected from avian osteological specimens held in the collections of National Museums Scotland, Edinburgh, and the Natural History Museum, London. These data were derived from X-ray micro-CT scans conducted using Nikon Metrology HMX ST 225 scanners at the University of Abertay, Dundee and the Natural History museum at resolutions of 12-149 µm. Voxel segmentation of brain cavity casts was conducted using Materialise Mimics 14.11 by two team members and volume values collected from these segmentations.
    Date made available25 Jun 2103
    PublisherNatural Environment Research Council
    Temporal coverage1 Sep 2010 - 1 Mar 2012
    • Avian cerebellar floccular fossa size is not a proxy for flying ability in birds

      Walsh, S. A., Iwaniuk, A. N., Knoll, M. A., Bourdon, E., Barrett, P. M., Milner, A. C., Nudds, R. L., Abel, R. L. & Dello Sterpaio, P., 25 Jun 2013, In: PLoS One. 8, 6, p. 1-10 10 p., e67176.

      Research output: Contribution to journalArticlepeer-review

      Open Access
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