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Hawaiʻi Coral Disease database (HICORDIS): species-specific coral health data from across the Hawaiian archipelago
The Hawaiʻi Coral Disease database (HICORDIS) houses data on colony-level coral health condition observed across the Hawaiian archipelago, providing information to conduct future analyses on coral reef health in an era of changing environmental conditions. Colonies were identified to the lowest taxo...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4969249/ https://www.ncbi.nlm.nih.gov/pubmed/27508264 http://dx.doi.org/10.1016/j.dib.2016.07.025 |
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author | Caldwell, Jamie M. Burns, John H.R. Couch, Courtney Ross, Megan Runyon, Christina Takabayashi, Misaki Vargas-Ángel, Bernardo Walsh, William Walton, Maya White, Darla Williams, Gareth Heron, Scott F. |
author_facet | Caldwell, Jamie M. Burns, John H.R. Couch, Courtney Ross, Megan Runyon, Christina Takabayashi, Misaki Vargas-Ángel, Bernardo Walsh, William Walton, Maya White, Darla Williams, Gareth Heron, Scott F. |
author_sort | Caldwell, Jamie M. |
collection | PubMed |
description | The Hawaiʻi Coral Disease database (HICORDIS) houses data on colony-level coral health condition observed across the Hawaiian archipelago, providing information to conduct future analyses on coral reef health in an era of changing environmental conditions. Colonies were identified to the lowest taxonomic classification possible (species or genera), measured and assessed for visual signs of health condition. Data were recorded for 286,071 coral colonies surveyed on 1819 transects at 660 sites between 2005 and 2015. The database contains observations for 60 species from 22 genera with 21 different health conditions. The goals of the HICORDIS database are to: i) provide open access, quality controlled and validated coral health data assembled from disparate surveys conducted across Hawaiʻi; ii) facilitate appropriate crediting of data; and iii) encourage future analyses of coral reef health. In this article, we describe and provide data from the HICORDIS database. The data presented in this paper were used in the research article “Satellite SST-based Coral Disease Outbreak Predictions for the Hawaiian Archipelago” (Caldwell et al., 2016) [1]. |
format | Online Article Text |
id | pubmed-4969249 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-49692492016-08-09 Hawaiʻi Coral Disease database (HICORDIS): species-specific coral health data from across the Hawaiian archipelago Caldwell, Jamie M. Burns, John H.R. Couch, Courtney Ross, Megan Runyon, Christina Takabayashi, Misaki Vargas-Ángel, Bernardo Walsh, William Walton, Maya White, Darla Williams, Gareth Heron, Scott F. Data Brief Data Article The Hawaiʻi Coral Disease database (HICORDIS) houses data on colony-level coral health condition observed across the Hawaiian archipelago, providing information to conduct future analyses on coral reef health in an era of changing environmental conditions. Colonies were identified to the lowest taxonomic classification possible (species or genera), measured and assessed for visual signs of health condition. Data were recorded for 286,071 coral colonies surveyed on 1819 transects at 660 sites between 2005 and 2015. The database contains observations for 60 species from 22 genera with 21 different health conditions. The goals of the HICORDIS database are to: i) provide open access, quality controlled and validated coral health data assembled from disparate surveys conducted across Hawaiʻi; ii) facilitate appropriate crediting of data; and iii) encourage future analyses of coral reef health. In this article, we describe and provide data from the HICORDIS database. The data presented in this paper were used in the research article “Satellite SST-based Coral Disease Outbreak Predictions for the Hawaiian Archipelago” (Caldwell et al., 2016) [1]. Elsevier 2016-07-19 /pmc/articles/PMC4969249/ /pubmed/27508264 http://dx.doi.org/10.1016/j.dib.2016.07.025 Text en © 2016 The Authors http://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 Caldwell, Jamie M. Burns, John H.R. Couch, Courtney Ross, Megan Runyon, Christina Takabayashi, Misaki Vargas-Ángel, Bernardo Walsh, William Walton, Maya White, Darla Williams, Gareth Heron, Scott F. Hawaiʻi Coral Disease database (HICORDIS): species-specific coral health data from across the Hawaiian archipelago |
title | Hawaiʻi Coral Disease database (HICORDIS): species-specific coral health data from across the Hawaiian archipelago |
title_full | Hawaiʻi Coral Disease database (HICORDIS): species-specific coral health data from across the Hawaiian archipelago |
title_fullStr | Hawaiʻi Coral Disease database (HICORDIS): species-specific coral health data from across the Hawaiian archipelago |
title_full_unstemmed | Hawaiʻi Coral Disease database (HICORDIS): species-specific coral health data from across the Hawaiian archipelago |
title_short | Hawaiʻi Coral Disease database (HICORDIS): species-specific coral health data from across the Hawaiian archipelago |
title_sort | hawaiʻi coral disease database (hicordis): species-specific coral health data from across the hawaiian archipelago |
topic | Data Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4969249/ https://www.ncbi.nlm.nih.gov/pubmed/27508264 http://dx.doi.org/10.1016/j.dib.2016.07.025 |
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