Metrics
1,067,526 Downloads
Contact Share

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.

How to deposit?

Useful links: FAQs | Collection Guidelines | NTU Research Data Management | General terms of use and Privacy policy

Featured Dataverses

In order to use this feature you must have at least one published dataverse.

Publish Dataverse

Are you sure you want to publish your dataverse? Once you do so it must remain published.

Publish Dataverse

This dataverse cannot be published because the dataverse it is in has not been published.

Delete Dataverse

Are you sure you want to delete your dataverse? You cannot undelete this dataverse.

Advanced Search

1 to 10 of 2,389 Results
SlimKV: Joint Token-Feature KV Cache Compression with Reconstruction-Free Beacon Attention
Jun 5, 2026 - Other Projects of the Liu Team
Zihan, Teng; Jiayu, Zhao; Wentao, Ren; Minhao, Fan; Tianrui, Ma; Song, Chen; Weichen, Liu, 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"
Related Data for: BitsMoE: Efficient Spectral Energy-Guided Bit Allocation for MoE LLM Quantization
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"
Replication Data for: Giant Photon Superbunching from Weak Nonlinearity
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.
AR filter study
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
MRI Space Mission: A Stepwise Paediatric MRI Training Protocol for Young Children
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...
Construction of Interactive 3D Models based on Singapore Ancient Chinese Temple Architectural Heritage
Jun 1, 2026 - NG Woon Lam
Ng, Woon Lam, 2026, "Construction of Interactive 3D Models based on Singapore Ancient Chinese Temple Architectural Heritage", https://doi.org/10.21979/N9/8MENYE, DR-NTU (Data), V2
The project aims to create a 3D interactive model to digitally preserve the loss of cultural elements of Tian Hock Keng (THK) after its multiple physical conservations. Gaming capacity is added as an enhancement of the interactions with users.
Replication Data for: A Scalable Perovskite Platform with Multi-state Photoresponsivity for In-Sensor Saliency Detection
Replication Data for: A Scalable Perovskite Platform with Multi-state Photoresponsivity for In-Sensor Saliency Detection
May 28, 2026 - XING Xuechao
XING XUECHAO, 2026, "Replication Data for: A Scalable Perovskite Platform with Multi-state Photoresponsivity for In-Sensor Saliency Detection", https://doi.org/10.21979/N9/OGAIQ0, DR-NTU (Data), V1, UNF:6:6OkqeY9jijNC/X7ceMbsmA== [fileUNF]
This dataset contains the experimental data for the paper: A Scalable Perovskite Platform with Multi-state Photoresponsivity for In-Sensor Saliency Detection
Replication Data for: Green energy proportion in ASEAN 2013-2024
May 27, 2026 - Dharendra WARDHANA
Wardhana, Dharendra, 2026, "Replication Data for: Green energy proportion in ASEAN 2013-2024", https://doi.org/10.21979/N9/KUMQBJ, DR-NTU (Data), V1, UNF:6:IN1666aD5SCBOjJxkjOcfA== [fileUNF]
This is the data set of Green energy proportion in ASEAN 2013-2024.
Replication Data for: Expanding the Solvent Library for Halide Perovskites via Amine Additives
May 27, 2026 - Ayan ZHUMEKENOV
Zhumekenov, Ayan; Sharma, Aakash; Jamolov, Azimjon; Nambiar, Abhishek; Abuzeid, Hesham R.; Miftahullatif, Emha Bayu; Singhal, Neha; Pullarkat, Sumod A.; Hippalgaonkar, Kedar; Mathews, Nripan, 2026, "Replication Data for: Expanding the Solvent Library for Halide Perovskites via Amine Additives", https://doi.org/10.21979/N9/RYIJSW, DR-NTU (Data), V1, UNF:6:SOKjms5CUIz2ljou3468PQ== [fileUNF]
This dataset contains the experimental data for the paper: "Expanding the Solvent Library for Halide Perovskites via Amine Additives"
Replication Data for: Performance Based Allowance - Indonesia
May 26, 2026 - Dharendra WARDHANA
Wardhana, Dharendra, 2026, "Replication Data for: Performance Based Allowance - Indonesia", https://doi.org/10.21979/N9/EBGC7H, DR-NTU (Data), V1, UNF:6:7XdtlFd/uFCSzH6j3tccnQ== [fileUNF]
This dataset supports the analysis of Indonesia's central government performance-based allowance (tunjangan kinerja) system. It comprises three interrelated components. The first provides position-class-level allowance schedules across seven institutional grade tiers — Grade 1 th...
Add Data

Log in to create a dataverse or add a dataset.

Log In
Share Dataverse

Share this dataverse on your favorite social media networks.

Link Dataverse
Reset Modifications

Are you sure you want to reset the selected metadata fields? If you do this, any customizations (hidden, required, optional) you have done will no longer appear.