Title |
A dataset of fishes in and around Inle Lake, an ancient lake of Myanmar, with DNA barcoding, photo images and CT/3D models
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Published in |
Biodiversity Data Journal, November 2016
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DOI | 10.3897/bdj.4.e10539 |
Pubmed ID | |
Authors |
Yuichi Kano, Prachya Musikasinthorn, Akihisa Iwata, Sein Tun, LKC Yun, Seint Seint Win, Shoko Matsui, Ryoichi Tabata, Takeshi Yamasaki, Katsutoshi Watanabe |
Abstract |
Inle (Inlay) Lake, an ancient lake of Southeast Asia, is located at the eastern part of Myanmar, surrounded by the Shan Mountains. Detailed information on fish fauna in and around the lake has long been unknown, although its outstanding endemism was reported a century ago. Based on the fish specimens collected from markets, rivers, swamps, ponds and ditches around Inle Lake as well as from the lake itself from 2014 to 2016, we recorded a total of 948 occurrence data (2120 individuals), belonging to 10 orders, 19 families, 39 genera and 49 species. Amongst them, 13 species of 12 genera are endemic or nearly endemic to the lake system and 17 species of 16 genera are suggested as non-native. The data are all accessible from the document "A dataset of Inle Lake fish fauna and its distribution (http://ipt.pensoft.net/resource.do?r=inle_fish_2014-16)", as well as DNA barcoding data (mitochondrial COI) for all species being available from the DDBJ/EMBL/GenBank (Accession numbers: LC189568-LC190411). Live photographs of almost all the individuals and CT/3D model data of several specimens are also available at the graphical fish biodiversity database (http://ffish.asia/INLE2016; http://ffish.asia/INLE2016-3D). The information can benefit the clarification, public concern and conservation of the fish biodiversity in the region. |
X Demographics
Geographical breakdown
Country | Count | As % |
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Japan | 3 | 11% |
Korea, Democratic People's Republic of | 1 | 4% |
China | 1 | 4% |
Singapore | 1 | 4% |
Costa Rica | 1 | 4% |
Thailand | 1 | 4% |
Unknown | 20 | 71% |
Demographic breakdown
Type | Count | As % |
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Members of the public | 25 | 89% |
Science communicators (journalists, bloggers, editors) | 2 | 7% |
Scientists | 1 | 4% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
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Denmark | 1 | 3% |
Unknown | 35 | 97% |
Demographic breakdown
Readers by professional status | Count | As % |
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Student > Ph. D. Student | 7 | 19% |
Student > Bachelor | 5 | 14% |
Researcher | 4 | 11% |
Student > Master | 3 | 8% |
Other | 3 | 8% |
Other | 5 | 14% |
Unknown | 9 | 25% |
Readers by discipline | Count | As % |
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Agricultural and Biological Sciences | 8 | 22% |
Environmental Science | 6 | 17% |
Biochemistry, Genetics and Molecular Biology | 5 | 14% |
Arts and Humanities | 2 | 6% |
Earth and Planetary Sciences | 2 | 6% |
Other | 2 | 6% |
Unknown | 11 | 31% |