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Quantitative dataset of shallow water reef in Pulau Bidong, Southern of South China sea during pre and post of tropical storm (Pabuk - January 2019)

This article provides raw datasets of the coral reefs status in Pulau Bidong, southern of South China Sea before and after being strike by the tropical storm Pabuk on January 2019. Data were collected using a rapid coral survey method called Coral Video Transect (CVT) technique. The data were collec...

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Autores principales: Bachok, Zainudin, Safuan, Che Din Mohd, Roseli, Nur Hidayah, Akhir, Mohd Fadzil
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7475187/
https://www.ncbi.nlm.nih.gov/pubmed/32923531
http://dx.doi.org/10.1016/j.dib.2020.106182
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author Bachok, Zainudin
Safuan, Che Din Mohd
Roseli, Nur Hidayah
Akhir, Mohd Fadzil
author_facet Bachok, Zainudin
Safuan, Che Din Mohd
Roseli, Nur Hidayah
Akhir, Mohd Fadzil
author_sort Bachok, Zainudin
collection PubMed
description This article provides raw datasets of the coral reefs status in Pulau Bidong, southern of South China Sea before and after being strike by the tropical storm Pabuk on January 2019. Data were collected using a rapid coral survey method called Coral Video Transect (CVT) technique. The data were collected along a 100 m transect line set up parallel to the shoreline and at a constant depth. In total, eight transects were surveyed during both periods (pre – August 2016, post – March 2019). Back in laboratory, the footage was then extracted into non-overlapping frames or still images prior to image analysis using Coral Point Count with Excel Extension (CPCe) software. The benthic coral reefs relative percentage cover was automatically generated after the image analysis and represented by five major categories; live coral (C), algae (ALG), other invertebrates (OT), dead coral (DC), and sand silt and rock (SR). Live coral cover was identified up to the genus level. This raw dataset was used in this article. The data provided in this article could be of significant use for future studies especially on coral recovery after the natural disturbances. It can provide a baseline assessment especially for coral reefs management as well as to comprehend changes in coral health status in the face of natural and anthropogenic disturbances. The data presented here support the information in the article Safuan et al. (2020).
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spelling pubmed-74751872020-09-11 Quantitative dataset of shallow water reef in Pulau Bidong, Southern of South China sea during pre and post of tropical storm (Pabuk - January 2019) Bachok, Zainudin Safuan, Che Din Mohd Roseli, Nur Hidayah Akhir, Mohd Fadzil Data Brief Agricultural and Biological Science This article provides raw datasets of the coral reefs status in Pulau Bidong, southern of South China Sea before and after being strike by the tropical storm Pabuk on January 2019. Data were collected using a rapid coral survey method called Coral Video Transect (CVT) technique. The data were collected along a 100 m transect line set up parallel to the shoreline and at a constant depth. In total, eight transects were surveyed during both periods (pre – August 2016, post – March 2019). Back in laboratory, the footage was then extracted into non-overlapping frames or still images prior to image analysis using Coral Point Count with Excel Extension (CPCe) software. The benthic coral reefs relative percentage cover was automatically generated after the image analysis and represented by five major categories; live coral (C), algae (ALG), other invertebrates (OT), dead coral (DC), and sand silt and rock (SR). Live coral cover was identified up to the genus level. This raw dataset was used in this article. The data provided in this article could be of significant use for future studies especially on coral recovery after the natural disturbances. It can provide a baseline assessment especially for coral reefs management as well as to comprehend changes in coral health status in the face of natural and anthropogenic disturbances. The data presented here support the information in the article Safuan et al. (2020). Elsevier 2020-08-16 /pmc/articles/PMC7475187/ /pubmed/32923531 http://dx.doi.org/10.1016/j.dib.2020.106182 Text en © 2020 Published by Elsevier Inc. http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Agricultural and Biological Science
Bachok, Zainudin
Safuan, Che Din Mohd
Roseli, Nur Hidayah
Akhir, Mohd Fadzil
Quantitative dataset of shallow water reef in Pulau Bidong, Southern of South China sea during pre and post of tropical storm (Pabuk - January 2019)
title Quantitative dataset of shallow water reef in Pulau Bidong, Southern of South China sea during pre and post of tropical storm (Pabuk - January 2019)
title_full Quantitative dataset of shallow water reef in Pulau Bidong, Southern of South China sea during pre and post of tropical storm (Pabuk - January 2019)
title_fullStr Quantitative dataset of shallow water reef in Pulau Bidong, Southern of South China sea during pre and post of tropical storm (Pabuk - January 2019)
title_full_unstemmed Quantitative dataset of shallow water reef in Pulau Bidong, Southern of South China sea during pre and post of tropical storm (Pabuk - January 2019)
title_short Quantitative dataset of shallow water reef in Pulau Bidong, Southern of South China sea during pre and post of tropical storm (Pabuk - January 2019)
title_sort quantitative dataset of shallow water reef in pulau bidong, southern of south china sea during pre and post of tropical storm (pabuk - january 2019)
topic Agricultural and Biological Science
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7475187/
https://www.ncbi.nlm.nih.gov/pubmed/32923531
http://dx.doi.org/10.1016/j.dib.2020.106182
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