Data for spatial analysis of growth anomaly lesions on Montipora capitata coral colonies using 3D reconstruction techniques

John H R Burns; Theodore Alexandrov; Katya Ovchinnikova; Ruth D Gates; Misaki Takabayashi

doi:10.1016/j.dib.2016.09.009

Data for spatial analysis of growth anomaly lesions on Montipora capitata coral colonies using 3D reconstruction techniques

Data Brief. 2016 Sep 19:9:460-462. doi: 10.1016/j.dib.2016.09.009. eCollection 2016 Dec.

Authors

John H R Burns¹, Theodore Alexandrov², Katya Ovchinnikova², Ruth D Gates³, Misaki Takabayashi⁴

Affiliations

¹ Department of Biology, College of Natural Sciences, University of Hawai'i at Mānoa, 2538 McCarthy Mall, Edmondson Hall Room 216., Honolulu, HI 96822, USA.
² Structural and Computational Biology, European Molecular Biology Laboratory, Meyerhofstraße 1, 69117 Heidelberg, Germany.
³ Hawai׳i Institute of Marine Biology, School of Ocean and Earth Science and Technology, University of Hawai׳i, Kāne׳ohe, Hawai׳i 96744, USA.
⁴ Marine Science Department, University of Hawai'i at Hilo, 200 W. Kawili St., Hilo, HI 96720, USA.

Abstract

Ten annotated 3D reconstructions of Montipora capitata coral colonies contain x,y,z coordinates for all growth anomaly (GA) lesions affecting these corals. The 3D reconstructions are available as Virtual Reality Modeling Language (VRML) files, and the GA lesions coordinates are in accompanying text files. The VRML models and GA lesion coordinates can be spatially analyzed using Matlab. Matlab scripts are provided for three spatial statistical procedures in order to assess clustering of the GA lesions across the coral colony surfaces in a 3D framework: Ripley׳s K, Moran׳s I, and the Kolmogorov-Smirnov test. Please see the research article, "Investigating the spatial distribution of Growth Anomalies affecting Montipora capitata corals in a 3-dimensional framework" (J.H.R. Burns, T. Alexandrov, E. Ovchinnikova, R.D. Gates, M. Takabayashi, 2016) [1], for further interpretation and discussion of the data.