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Deposit, archive and share your final research data in DR-NTU (Data)

DR-NTU (Data) is for research data deposit. For research paper deposits, please use DR-NTU.

Mission: DR-NTU (Data) curates, stores, preserves, makes available and enables the download of digital data generated by the NTU research community. The repository develops and provides guidance for managing, sharing, and reusing research data to promote responsible data sharing in support of open science and research integrity.

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What can be deposited? Final, non-sensitive research data from projects carried out at NTU. The uploaded content must not infringe upon the copyrights or other intellectual property rights, and must be void of all identifiable information.

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951 to 960 of 76,896 Results
application/vnd.sun.xml.math - 8.0 MB - MD5: 6ee33ed4b09a81fb9fb0791db8762e6a
Fixed Field Text Data - 25.1 KB - MD5: 11242c3042252fd2f5432f90e5640a20
Apr 29, 2026 - Mengda REN
Lo, Chih Hung; Ren, Mengda; Loi, Gavin Wen Zhao; Saipuljumri, Eka Norfaishanty; Indajang, Jonathan; Lim, Kah Leong; Zeng, Jialiu, 2026, "Replication Data for: Lysosome-Acidifying Nanoparticles Rescue A30P α-Synuclein Induced Neuronal Death in Cellular and Drosophila Models of Parkinson's Disease", https://doi.org/10.21979/N9/SBCIPP, DR-NTU (Data), V1, UNF:6:LEO4c+Jaez4Egr2Ht866VQ== [fileUNF]
Source data for Lo, C. H., et al. (2026). "Lysosome-Acidifying Nanoparticles Rescue A30P α-Synuclein Induced Neuronal Death in Cellular and Drosophila Models of Parkinson's Disease." Advanced Healthcare Materials n/a(n/a): e02906. https://doi.org/10.1002/adhm.202502906
Comma Separated Values - 2.2 KB - MD5: 06ce46b5046e4883a6a3001c25f83e06
Fly DAM2 locomotor data.
Tabular Data - 727 B - 3 Variables, 67 Observations - UNF:6:LEO4c+Jaez4Egr2Ht866VQ==
PAM TH neuron count data.
Apr 28, 2026 - S-Lab for Advanced Intelligence
Xu, Yuanmu; Hou, Guanli; Hu, Jiangbei; Ren, Tenglong; Wang, Xiaokun; Zhang, Yalan; Ban, Xiaojuan; Qian, Chen; Hou, Fei; He, Ying, 2025, "PGA-NeuS: Physics and Geometry-Augmented Neural Implicit Surfaces for Rigid Bodies", https://doi.org/10.21979/N9/LTXKFL, DR-NTU (Data), V2
This paper tackles the challenges of physics-based simulation of rigid bodies in neural rendering, focusing on 3D model representation and collision handling. A synthetic and real-world dataset is also included in the paper.
Compressed Archive - 462.9 MB - MD5: bf5921041d638ae5ea5bbc8d236344b6
Apr 27, 2026 - SUN Haonan
Sun, Haonan; Shen, Guibin; Chua, Huei Min; Tay, Darrell Jun Jie; Su, Yuanjie; Pu, Yahong; Wang, Yanju; Tay, Yeow Boon; Fu, Hongkang; Subodh, Gautam Mhaisalkar; Du, Shixuan; Nripan, Mathews; Leong, Wei Lin, 2026, "Replication Data for: Tuning self-assembled monolayers of Me-4PACz with bisphosphonic acid groups to improve temperature and cycling stability of perovskite photovoltaics", https://doi.org/10.21979/N9/HCMNLA, DR-NTU (Data), V1
This dataset contains the experimental data for the paper: "Tuning self-assembled monolayers of Me-4PACz with bisphosphonic acid groups to improve temperature and cycling stability of perovskite photovoltaics"
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