Distributed Topological Data Analysis of Tetrahedral Meshes with Apache Spark

We provide six tetrahedral meshes with the number of vertices ranging from about 300K to 1.8 billion. Among these, four datasets, Brain, Foot, Stent, and Synthetic, are obtained by thresholding and tetrahedralizing volume images. The remaining two datasets, Lander_small, and Lander_huge, are obtained by tetrahedralizing meshes defined on general polytopes.We would like to thank Philips Research, Hamburg, Germany, for the Brain and Foot datasets, and Michael Mei\u00dfner, Viatronix Inc, for the Stent dataset. The Synthetic dataset is provided by Klacansky et al. The Lander_small and Lander_huge datasets are provided by Ingo Wald.