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Benchmark dataset for the Voronoi diagram of 3D spherical balls

In this paper, we present a dataset to be used for the construction 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 includes protein models downloaded from RCSB Protein Data Bank (PDB)....

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Detalles Bibliográficos
Autores principales: Song, Chanyoung, Lee, Mokwon, Choi, Seunghwan, Kim, Deok-Soo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9679445/
https://www.ncbi.nlm.nih.gov/pubmed/36426006
http://dx.doi.org/10.1016/j.dib.2022.108605
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author Song, Chanyoung
Lee, Mokwon
Choi, Seunghwan
Kim, Deok-Soo
author_facet Song, Chanyoung
Lee, Mokwon
Choi, Seunghwan
Kim, Deok-Soo
author_sort Song, Chanyoung
collection PubMed
description In this paper, we present a dataset to be used for the construction 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 includes protein models downloaded from RCSB Protein Data Bank (PDB). The dataset can be used as a standard benchmark 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 experiment 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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spelling pubmed-96794452022-11-23 Benchmark dataset for the Voronoi diagram of 3D spherical balls Song, Chanyoung Lee, Mokwon Choi, Seunghwan Kim, Deok-Soo Data Brief Data Article In this paper, we present a dataset to be used for the construction 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 includes protein models downloaded from RCSB Protein Data Bank (PDB). The dataset can be used as a standard benchmark 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 experiment 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. Elsevier 2022-09-14 /pmc/articles/PMC9679445/ /pubmed/36426006 http://dx.doi.org/10.1016/j.dib.2022.108605 Text en © 2022 The Author(s) https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Data Article
Song, Chanyoung
Lee, Mokwon
Choi, Seunghwan
Kim, Deok-Soo
Benchmark dataset for the Voronoi diagram of 3D spherical balls
title Benchmark dataset for the Voronoi diagram of 3D spherical balls
title_full Benchmark dataset for the Voronoi diagram of 3D spherical balls
title_fullStr Benchmark dataset for the Voronoi diagram of 3D spherical balls
title_full_unstemmed Benchmark dataset for the Voronoi diagram of 3D spherical balls
title_short Benchmark dataset for the Voronoi diagram of 3D spherical balls
title_sort benchmark dataset for the voronoi diagram of 3d spherical balls
topic Data Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9679445/
https://www.ncbi.nlm.nih.gov/pubmed/36426006
http://dx.doi.org/10.1016/j.dib.2022.108605
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