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21 to 30 of 487 Results
Jul 24, 2025
Mat Jalaluddin, Nurzatil Sharleeza; Ong, Song Quan; Azhar, Suhaila; Sh Zulrushdi, Sheikh Muhammad Arif Shaifuddin; Lim, Kooi Fong, 2025, "Replication Data for Method of Digitisation of Natural History Museum Collections", https://doi.org/10.22452/RD/IPBEDB, Universiti Malaya Research Data Repository, V1
This work presents step-by-step on method to digitise Natural History Museum Collections using butterfly specimen as an example.
MPEG-4 Video - 614.8 MB - MD5: da5acfc5c81228887693013d5a9606ff
Jul 24, 2025
Ahmad Fuaad, Abdullah Al-Hadi, 2025, "Method for Precision Cut Lung Slices", https://doi.org/10.22452/RD/VSB1EK, Universiti Malaya Research Data Repository, V1
This work presents a complete, step-by-step technical guide for the use of precision-cut lung slices (PCLS) as a relevant ex vivo model for high-throughput screening (HTS) in nanotoxicology, focusing specifically on bridging the translational gap between in vitro and in vivo syst...
MPEG-4 Video - 639.2 MB - MD5: 8ffb313ffed053e3889cfe44e2bd8e42
Jul 11, 2025
Abdullah, Norli Anida; Hariri, Firdaus; Hisam, Mohamad Norikmal Fazli; Zheng, Lantian, 2025, "Selected craniofacial measurements from anonymized CT scans of nonsyndromic craniosynostosis patients at PPUM.", https://doi.org/10.22452/RD/IAGARE, Universiti Malaya Research Data Repository, V1, UNF:6:dbkr981E5xVyiK7WNZDQLA== [fileUNF]
A total of 17 CT scans from non-operated patients with syndromic craniosynostosis (SC), all under 12 years old and treated at the craniofacial unit of a tertiary healthcare center between November 2017 and December 2023, were selected for this study (17 SC patient and 17 Control....
Tabular Data - 2.6 KB - 19 Variables, 34 Observations - UNF:6:U0kf7MUNqZ4Pix2ybFr8Rg==
Tabular Data - 1.3 KB - 11 Variables, 21 Observations - UNF:6:OHkWs/N2fzI12nPGHpuUng==
Jul 9, 2025
Er, Yi Xian; Farhat Abjani; Yvonne Lim Ai Lian; Priya Madhavan, 2025, "Gut microbiome reads of Sarawak Data (16s v4, Kayan and Kenyah People)", https://doi.org/10.22452/RD/LHUNH8, Universiti Malaya Research Data Repository, V1
These are 16S raw reads of gut microbiome data from indigenous Sarawakians, collected in 2019 among the Kayan and Kenyah people from Sungai Asap, Belaga town, Bintulu, Sarawak, via OmniGut tube, extracted via Qiagen soil kits.
Unknown - 35.7 MB - MD5: e4352ea20e4269b66a15a3b9122982b9
16S gut microbiome data in FASTQ.GZ format
Unknown - 36.7 MB - MD5: c8d9c8bed4ceb98f98a808e75e437168
16S gut microbiome data in FASTQ.GZ format
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