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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.

Who can deposit? NTU faculty, research staff and students.

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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21 to 30 of 3,433 Results
Jun 18, 2026 - Aaron ANG Jit Wei
Ang, Jit Wei, 2024, "The benefit of soundscaping naturalistic sounds within urban residential areas: Mental fatigue recovery.", https://doi.org/10.21979/N9/X8ZH1D, DR-NTU (Data), V2, UNF:6:v89tDQdY/YX6Eb+vJRCh/g== [fileUNF]
PPG peak to peak raw data of participants.
Jun 17, 2026 - NIE Data Repository (Harvested)
Ali, Farhan, 2026, "Related data for: Curiosity in Times of Uncertainty: Dynamics of Student Question-Posing in Online Educational Discussion", https://doi.org/10.25340/R4/SYASFR
Related data for: Curiosity in Times of Uncertainty: Dynamics of Student Question-Posing in Online Educational Discussion
This Dataset is harvested from our partners. Clicking the link will take you directly to the archival source of the data.
Jun 16, 2026 - Roderick Wayland BATES
Bates, Roderick Wayland, 2026, "Oleraciamide", https://doi.org/10.21979/N9/CB6LEE, DR-NTU (Data), V2
NMR spectra data.
Jun 15, 2026 - Sulfikar AMIR
Amir, Sulfikar, 2026, "Gendered Digital Divide and Mobility Behavior", https://doi.org/10.21979/N9/UI6EAO, DR-NTU (Data), V3
This dataset contains a survey result on the use of digital navigation app and its impact on different mobility behavior between men and women.
Jun 12, 2026 - CLIC - Centre for Lifelong Learning and Individualised Cognition
Feng, Shengchuang, 2025, "Over Fifteen Years of Confusion: How the Big Five Inventory Mismeasures Openness", https://doi.org/10.21979/N9/DQAL7I, DR-NTU (Data), V3, UNF:6:6rVO0kMvLrMlpfVL0mtaxA== [fileUNF]
This dataset contains data used in the following study: Feng, S., Melia, N., Yap, H. S., Abraham, A., Chan, Y. N., Hung, D., Suckling, J., Teo, C. L., Robbins, T., Sahakian, B., Kourtzi, Z., Leong, V., Chen, A., Hendriks, H., Christopoulos, G., & the CLIC Phase 1 Consortium. (202...
Jun 12, 2026 - NG Woon Lam
Ng, Woon Lam, 2023, "Study of Calligraphic Brushwork in Singapore Watercolour Art", https://doi.org/10.21979/N9/U5HIS5, DR-NTU (Data), V2
Research interview raw data
Jun 11, 2026 - YU Yue
Yu, Yue, 2026, "SI Data for: Pixelated quantum-dot superlattice LEDs", https://doi.org/10.21979/N9/HOOWBQ, DR-NTU (Data), V1, UNF:6:ny+BFtTVo3ZS+Kc8ueRn+Q== [fileUNF]
Replication SI Data for the journal article entitled "Pixelated quantum-dot superlattice LEDs "
YU Yue(Nanyang Technological University)
Jun 11, 2026School of Physical and Mathematical Sciences (SPMS)
Jun 5, 2026 - Other Projects of the Liu Team
Teng, Zihan; Zhao. Jiayu; Ren, Wentao; Fan, Minhao; Ma, Tianrui; Chen, Song; Liu, Weichen, 2026, "SlimKV: Joint Token-Feature KV Cache Compression with Reconstruction-Free Beacon Attention", https://doi.org/10.21979/N9/EKDD1U, DR-NTU (Data), V1
The dataset includes the source codes and readme file for implementing the design presented in the paper "SlimKV: Joint Token-Feature KV Cache Compression with Reconstruction-Free Beacon Attention"
Jun 5, 2026 - Other Projects of the Liu Team
Zhao, Jiayu; Teng, Zihan; Fan, Minhao; Ma, Tianrui; Ren, Wentao; Chen, Song; Liu, Weichen, 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"
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