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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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1 to 10 of 3,260 Results
Dec 12, 2025 - WONG Minn Lin
Wong, Minn Lin; Wang, Xianfeng, 2025, "Related Data for: The relative impacts of tropical Pacific teleconnections and local insolation on mid-Holocene precipitation over tropical South America", https://doi.org/10.21979/N9/36WXN5, DR-NTU (Data), V1
This dataset consists of simulation output generated using an atmospheric general circulation model, the ECHAM4.6. It includes monthly precipitation and annual precipitation δ¹⁸O fields from four ECHAM4.6 simulations. These experiments were designed to isolate the relative effect...
Dec 12, 2025 - SONG Justin Chien Wen
Song, Justin Chien Wen, 2025, "Replication Data for: Nonlinear Superconducting Magnetoelectric Effect", https://doi.org/10.21979/N9/MSKDST, DR-NTU (Data), V1
Data files for "Nonlinear Superconducting Magnetoelectric Effect"
Dec 12, 2025 - SONG Justin Chien Wen
Song, Justin Chien Wen, 2025, "Replication Data for: Metallic electro-optic effect in gapped bilayer graphene", https://doi.org/10.21979/N9/CWRAFF, DR-NTU (Data), V1
Data files for figures in "Metallic electro-optic effect in gapped bilayer graphene"
Dec 12, 2025 - SONG Justin Chien Wen
Song, Justin Chien Wen, 2025, "Replication Data for: Antiscreening and Nonequilibrium Layer Electric Phases in Graphene Multilayers", https://doi.org/10.21979/N9/RHCJFN, DR-NTU (Data), V1
Data files for figures in "Antiscreening and Nonequilibrium Layer Electric Phases in Graphene Multilayers"
Dec 10, 2025 - ZHANG Wei
Zhang, Wei, 2025, "Video stimuli for: Adult-to-infant neural coupling mediates infants’ selection of socially-relevant stimuli for learning across cultures", https://doi.org/10.21979/N9/NJ1KJA, DR-NTU (Data), V2
See readme for experiment video.pdf for description
Dec 10, 2025 - Junqi ZHAO
Li, Miaoyu; Chao, Qin; Li, Boyang, 2025, "Replication Data for: Two Causally Related Needles in a Video Haystack", https://doi.org/10.21979/N9/WCSXMT, DR-NTU (Data), V1
Causal2Needles is a benchmark dataset and evaluation toolkit designed to assess the capabilities of both proprietary and open-source multimodal large language models in long-video understanding. It features a large number of "2-needle" questions, where the model must locate and r...
Dec 10, 2025 - Junqi ZHAO
Chinchure, Aditya; Ravi, Sahithya; Ng, Raymond; Shwartz, Vered; Li, Boyang; Sigal, Leonid, 2025, "Replication Data for: Black Swan: Abductive and Defeasible Video Reasoning in Unpredictable Events", https://doi.org/10.21979/N9/HOAFUL, DR-NTU (Data), V1
BlackSwanSuite is a benchmark for evaluating VLMs’ ability to reason about unexpected events through abductive and defeasible tasks. The tasks either artificially limit the amount of visual information provided to models while questioning them about hidden unexpected events, or p...
Dec 10, 2025 - Junqi ZHAO
Zhang, Wenyu; Ng, Wei En; Ma, Lixin; Wang, Yuwen; Zhao, Junqi; Koenecke, Allison; Li, Boyang; Wang, Lu, 2025, "Replication Data for: SPHERE: A Hierarchical Evaluation on Spatial Perception and Reasoning for Vision-Language Models", https://doi.org/10.21979/N9/HI9OFD, DR-NTU (Data), V2
SPHERE (Spatial Perception and Hierarchical Evaluation of Reasoning) is a hierarchical evaluation framework built on a new human-annotated dataset of 2,285 question–answer pairs. It systematically probes models across increasing levels of complexity, from fundamental skills to mu...
Dec 10, 2025 - Junqi ZHAO
Tiong, Anthony Meng Huat; Zhao, Junqi; Li, Boyang; Li, Junnan; Hoi, Steven C.H.; Xiong, Caiming, 2025, "Replication Data for: What Are We Measuring When We Evaluate Large Vision-Language Models? An Analysis of Latent Factors and Biases", https://doi.org/10.21979/N9/SL0VV1, DR-NTU (Data), V1
The OLIVE dataset is a highly diverse, human-corrected multi-modal collection designed to simulate the variety and idiosyncrasies of user queries vision-language models (VLMs) face in real-world scenarios. It supports the training and evaluation of VLMs in conditions that more cl...
Junqi ZHAO(Nanyang Technological University)
Dec 10, 2025College of Computing and Data Science (CCDS)
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