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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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1 to 10 of 76,166 Results
Jun 5, 2026 - Other Projects of the Liu Team
Jiayu, Zhao; Zihan, Teng; Minhao, Fan; Tianrui, Ma; Wentao, Ren; Song, Chen; Weichen, Liu, 2026, "Related Data for: BitsMoE: Efficient Spectral Energy-Guided Bit Allocation for MoE LLM Quantization", https://doi.org/10.21979/N9/R7OS8U, DR-NTU (Data), V1
The dataset includes the source codes and readme file for implementing the design presented in the paper "BitsMoE: Efficient Spectral Energy-Guided Bit Allocation for MoE LLM Quantization"
Gzip Archive - 45.8 MB - MD5: f33e242238011385e01f401b8e49edb9
Code
The open-source code can also be accessed from either of the following repositories: https://github.com/zjiayu064/BitsMoE or https://github.com/ntuliuteam/BitsMoE.
Jun 5, 2026 - WANG You
Wang, You, 2026, "Replication Data for: Giant Photon Superbunching from Weak Nonlinearity", https://doi.org/10.21979/N9/WXV9BM, DR-NTU (Data), V1
Computer code used to generate the simulation plots presented in the paper Giant Photon Superbunching from Weak Nonlinearity.
XZ Archive - 39.0 KB - MD5: f9d0b75e0538e21a3b23c093357e906e
Jun 2, 2026 - KIM Hye Kyung
Kim, Hye Kyung, 2026, "AR filter study", https://doi.org/10.21979/N9/5FX8GB, DR-NTU (Data), V1, UNF:6:2jRNRLKwCZsg2aB3++hAWg== [fileUNF]
AR filter study data
Jun 2, 2026 - AR filter study
Plain Text - 5.8 KB - MD5: 5aab4549496ec49d1926c5bbf6eed811
Documentation
Jun 2, 2026 - AR filter study
Tabular Data - 114.0 KB - 188 Variables, 188 Observations - UNF:6:2jRNRLKwCZsg2aB3++hAWg==
Jun 2, 2026 - Reading Brains
Wu, Chiao-Yi; Teo, Jia Li; Yap, Michelle Li-Mei; Lin, Hsin-Yu; Yeo, Marilyn Cai Ling; Chia, Phoebe Si Qi; Vinas Guasch, Nestor; Chen, S. H. Annabel, 2021, "MRI Space Mission: A Stepwise Paediatric MRI Training Protocol for Young Children", https://doi.org/10.21979/N9/QCVEGB, DR-NTU (Data), V2
The MRI Space Mission is a child-centred, stepwise paediatric MRI training protocol for young children. The protocol consists of a series of mini-activities that are designed to familiarize young children with the MRI scanner and scanning procedures. Children will be introduced t...
MS Word - 283.7 KB - MD5: bfa5c4f927b2eebe4333e7383087aa0b
Space Mission Session 1 protocol
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