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. |
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| 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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| ISSN: | 2052-4463 |
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| DOI: | 10.1038/s41597-024-03172-9 |
