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Avian data from Kenyir rainforest trail

This data article is constructed using avian (bird) counts from a recently identified trail in Kenyir rainforest, East Peninsular Malaysia. Avian chirps and naked eye visual were simultaneously used to locate the birds. After visual binocular and digital image inspection, identification of avian spe...

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Autores principales: Nelson, Bryan Raveen, David, Gertrude, Mokhtar, Ahmad Fakhrurrazi, Mamat, Mazrul Aswady, Rahman, Abdul Jalil Abdul
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6290243/
https://www.ncbi.nlm.nih.gov/pubmed/30761345
http://dx.doi.org/10.1016/j.dib.2018.11.119
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author Nelson, Bryan Raveen
David, Gertrude
Mokhtar, Ahmad Fakhrurrazi
Mamat, Mazrul Aswady
Rahman, Abdul Jalil Abdul
author_facet Nelson, Bryan Raveen
David, Gertrude
Mokhtar, Ahmad Fakhrurrazi
Mamat, Mazrul Aswady
Rahman, Abdul Jalil Abdul
author_sort Nelson, Bryan Raveen
collection PubMed
description This data article is constructed using avian (bird) counts from a recently identified trail in Kenyir rainforest, East Peninsular Malaysia. Avian chirps and naked eye visual were simultaneously used to locate the birds. After visual binocular and digital image inspection, identification of avian species were carried out using reference books. Data tabulation are divided by monsoon seasons and months before interpret using Shannon and Evenness indices. The highlights like feeding guilds, nativity, iconic species and statuses in the wild are presented with the data to increase its value. Within these, a total of 457 avian individuals from 36 avian family groups were recorded from which, 25 of these avian species occur as near threatened, vulnerable, endangered and critically endangered in the wild. Having these, the tabulated data becomes a calendar for seasonal availability of avian species which considers the 1.0 km trail suitable for bird watching, scientific study and ecotourism purposes.
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spelling pubmed-62902432019-02-13 Avian data from Kenyir rainforest trail Nelson, Bryan Raveen David, Gertrude Mokhtar, Ahmad Fakhrurrazi Mamat, Mazrul Aswady Rahman, Abdul Jalil Abdul Data Brief Agricultural and Biological Science This data article is constructed using avian (bird) counts from a recently identified trail in Kenyir rainforest, East Peninsular Malaysia. Avian chirps and naked eye visual were simultaneously used to locate the birds. After visual binocular and digital image inspection, identification of avian species were carried out using reference books. Data tabulation are divided by monsoon seasons and months before interpret using Shannon and Evenness indices. The highlights like feeding guilds, nativity, iconic species and statuses in the wild are presented with the data to increase its value. Within these, a total of 457 avian individuals from 36 avian family groups were recorded from which, 25 of these avian species occur as near threatened, vulnerable, endangered and critically endangered in the wild. Having these, the tabulated data becomes a calendar for seasonal availability of avian species which considers the 1.0 km trail suitable for bird watching, scientific study and ecotourism purposes. Elsevier 2018-11-28 /pmc/articles/PMC6290243/ /pubmed/30761345 http://dx.doi.org/10.1016/j.dib.2018.11.119 Text en © 2018 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 Agricultural and Biological Science
Nelson, Bryan Raveen
David, Gertrude
Mokhtar, Ahmad Fakhrurrazi
Mamat, Mazrul Aswady
Rahman, Abdul Jalil Abdul
Avian data from Kenyir rainforest trail
title Avian data from Kenyir rainforest trail
title_full Avian data from Kenyir rainforest trail
title_fullStr Avian data from Kenyir rainforest trail
title_full_unstemmed Avian data from Kenyir rainforest trail
title_short Avian data from Kenyir rainforest trail
title_sort avian data from kenyir rainforest trail
topic Agricultural and Biological Science
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6290243/
https://www.ncbi.nlm.nih.gov/pubmed/30761345
http://dx.doi.org/10.1016/j.dib.2018.11.119
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