Benchmark dataset for the Voronoi diagram of 3D spherical ballsopen access
- Authors
- Song, Chanyoung; Lee, Mokwon; Choi, Seunghwan; Kim, Deok-Soo
- Issue Date
- Dec-2022
- Publisher
- ELSEVIER
- Keywords
- Sphere; Coordinate; Random; Tessellation; Computational geometry
- Citation
- DATA IN BRIEF, v.45, pp.1 - 6
- Indexed
- SCOPUS
- Journal Title
- DATA IN BRIEF
- Volume
- 45
- Start Page
- 1
- End Page
- 6
- URI
- https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/185814
- DOI
- 10.1016/j.dib.2022.108605
- ISSN
- 2352-3409
- Abstract
- In this paper, we present a dataset to be used for the con-struction of the Voronoi diagram of 3D spherical balls (VD -B3). The dataset consists of sphere arrangements including general, anomaly, and extreme cases. The dataset also in-cludes protein models downloaded from RCSB Protein Data Bank (PDB). The dataset can be used as a standard bench-mark dataset to verify and validate the correctness, efficiency, and robustness of the construction algorithm. The dataset is simple and easy to understand. The details of the ex-periment and analysis based on this dataset are presented in the original research article: "Robust Construction of the Voronoi Diagram of Spherical Balls in the Three-Dimensional Space" which introduces the topology-oriented incremental algorithm for the construction that is thoroughly validated and compared with two implementations of the well known edge-tracing algorithm.
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