Morphometric dataset of Varanus salvator for non-invasive sex identification using machine learning.

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Title: Morphometric dataset of Varanus salvator for non-invasive sex identification using machine learning.
Authors: Alymann AA; Barn Owl and Rodent Research Group, School of Biological Sciences, Universiti Sains Malaysia, 11800, Pulau Pinang, Malaysia., Alymann IA; Barn Owl and Rodent Research Group, School of Biological Sciences, Universiti Sains Malaysia, 11800, Pulau Pinang, Malaysia., Ong SQ; Barn Owl and Rodent Research Group, School of Biological Sciences, Universiti Sains Malaysia, 11800, Pulau Pinang, Malaysia.; Institute for Tropical Biology and Conservation, Universiti Malaysia Sabah, Jalan UMS, 88400, Kota Kinabalu, Sabah, Malaysia., Rusli MU; Sea Turtle Research Unit (SEATRU), Institute of Oceanography and Environment (INOS), Universiti Malaysia Terengganu, 21030, Kuala Nerus, Terengganu, Malaysia., Ahmad AH; Barn Owl and Rodent Research Group, School of Biological Sciences, Universiti Sains Malaysia, 11800, Pulau Pinang, Malaysia., Salim H; Barn Owl and Rodent Research Group, School of Biological Sciences, Universiti Sains Malaysia, 11800, Pulau Pinang, Malaysia. hasbersalim@usm.my.
Source: Scientific data [Sci Data] 2024 Apr 05; Vol. 11 (1), pp. 337. Date of Electronic Publication: 2024 Apr 05.
Publication Type: Dataset; Journal Article
Journal Info: Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101640192 Publication Model: Electronic Cited Medium: Internet ISSN: 2052-4463 (Electronic) Linking ISSN: 20524463 NLM ISO Abbreviation: Sci Data Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: Morphometric dataset of Varanus salvator for non-invasive sex identification using machine learning.
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  Data: <searchLink fieldCode="AU" term="%22Alymann+AA%22">Alymann AA</searchLink>; Barn Owl and Rodent Research Group, School of Biological Sciences, Universiti Sains Malaysia, 11800, Pulau Pinang, Malaysia.<br /><searchLink fieldCode="AU" term="%22Alymann+IA%22">Alymann IA</searchLink>; Barn Owl and Rodent Research Group, School of Biological Sciences, Universiti Sains Malaysia, 11800, Pulau Pinang, Malaysia.<br /><searchLink fieldCode="AU" term="%22Ong+SQ%22">Ong SQ</searchLink>; Barn Owl and Rodent Research Group, School of Biological Sciences, Universiti Sains Malaysia, 11800, Pulau Pinang, Malaysia.; Institute for Tropical Biology and Conservation, Universiti Malaysia Sabah, Jalan UMS, 88400, Kota Kinabalu, Sabah, Malaysia.<br /><searchLink fieldCode="AU" term="%22Rusli+MU%22">Rusli MU</searchLink>; Sea Turtle Research Unit (SEATRU), Institute of Oceanography and Environment (INOS), Universiti Malaysia Terengganu, 21030, Kuala Nerus, Terengganu, Malaysia.<br /><searchLink fieldCode="AU" term="%22Ahmad+AH%22">Ahmad AH</searchLink>; Barn Owl and Rodent Research Group, School of Biological Sciences, Universiti Sains Malaysia, 11800, Pulau Pinang, Malaysia.<br /><searchLink fieldCode="AU" term="%22Salim+H%22">Salim H</searchLink>; Barn Owl and Rodent Research Group, School of Biological Sciences, Universiti Sains Malaysia, 11800, Pulau Pinang, Malaysia. hasbersalim@usm.my.
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  Data: <searchLink fieldCode="JN" term="%22101640192%22">Scientific data</searchLink> [Sci Data] 2024 Apr 05; Vol. 11 (1), pp. 337. <i>Date of Electronic Publication: </i>2024 Apr 05.
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        Value: 10.1038/s41597-024-03172-9
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      – TitleFull: Morphometric dataset of Varanus salvator for non-invasive sex identification using machine learning.
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              Text: 2024 Apr 05
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