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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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411 to 420 of 2,279 Results
Jun 25, 2024 - NIE Data Repository (Harvested)
Wu, Ying; Silver, Rita; Guo, Libo, 2025, "Related Data for: Traditional Chinese medicine: Communicating informational and symbolic functions in the linguistic landscape", https://doi.org/10.25340/R4/OKYIXN
While dissemination of information is a key function of health communication, signage at medical facilities has other functions: signs can be a type of marketing (e.g., services offered), can promote credibility and inspire trust, can exacerbate or ameliorate social inequalities...
This Dataset is harvested from our partners. Clicking the link will take you directly to the archival source of the data.
Jun 20, 2024 - S-Lab for Advanced Intelligence
Wu, Haoning; Zhang, Erli; Liao, Liang; Chen, Chaofeng; Hou, Jingwen; Wang, Annan; Sun, Wenxiu; Yan, Qiong; Lin, Weisi, 2024, "Replication Data for: Towards Explainable In-the-Wild Video Quality Assessment: A Database and a Language-Prompted Approach", https://doi.org/10.21979/N9/ELWDPE, DR-NTU (Data), V1
A large-scale in-the-wild VQA database, named Maxwell, created to gather more than two million human opinions across 13 specific quality-related factors, including technical distortions e.g. noise, flicker and aesthetic factors e.g. contents.
Jun 20, 2024 - S-Lab for Advanced Intelligence
Wu, Haoning; Zhang, Zicheng; Zhang, Erli; Chen, Chaofeng; Liao, Liang; Wang, Annan; Li, Chunyi; Sun, Wenxiu; Yan, Qiong; Zhai, Guangtao; Lin, Weisi, 2024, "Replication Data for: Q-Bench: A Benchmark for General-Purpose Foundation Models on Low-level Vision", https://doi.org/10.21979/N9/M41ERD, DR-NTU (Data), V1
We present Q-Bench, a holistic benchmark crafted to systematically evaluate potential abilities of MLLMs on three realms: low-level visual perception, low-level visual description, and overall visual quality assessment.
Jun 20, 2024 - S-Lab for Advanced Intelligence
Wu, Haoning; Zhang, Zicheng; Zhang, Erli; Chen, Chaofeng; Liao, Liang; Wang, Annan; Xu, Kaixin; Li, Chunyi; Hou, Jingwen; Zhai, Guangtao; Xue, Geng; Sun, Wenxiu; Yan, Qiong; Lin, Weisi, 2024, "Replication Data for: Q-Instruct: Improving Low-level Visual Abilities for Multi-modality Foundation Models", https://doi.org/10.21979/N9/GPLPNI, DR-NTU (Data), V1
The dataset consisting of human natural language feedback on low-level vision.
Jun 20, 2024 - NIE Data Repository (Harvested)
Chau, Pearlwe; Teo, Guang Long; Li, Yongxin; Lee, Peter Peng Foo; Yan, Yaw Kai, 2025, "Related Data for: Synthesis and cytotoxicity of copper(II) semicarbazone complexes with lipophilic counter-anions", https://doi.org/10.25340/R4/07FRWW
A series of (2,4-dihydroxybenzaldehyde dibenzyl semicarbazone) perfluoroalkyl carboxylato copper(II) complexes, [CF3(CF2)nCO2(LH)Cu] (LH2 = 2,4-dihydroxybenzaldehyde dibenzyl semicarbazone; n = 0, 2, 4, 6; 1–4), and (2,4-dihydroxybenzaldehyde dibenzyl semicarbazone) pyridine copp...
This Dataset is harvested from our partners. Clicking the link will take you directly to the archival source of the data.
Jun 19, 2024 - NIE Data Repository (Harvested)
Chia, Michael; Komar, John; Chua, Terence Buan Kiong; Tay, Lee Yong; Kim, Jung-Hyun; Hong, Kwangseok; Kim, Hyunshik; Ma, Jiameng; Vehmas, Hanna; Saakslahti, Arja, 2025, "Related Data for: Screen media and non-screen media habits among preschool children in Singapore, South Korea, Japan, and Finland: Insights from an unsupervised clustering approach", https://doi.org/10.25340/R4/KDQPDH
The main purpose of the research was to describe the daily screen media habits and non-screen media habits like indoor and outdoor play, and sleep of preschool children aged 2 to 6 years from Singapore, South Korea, Japan, and Finland using a content-validated online questionnair...
This Dataset is harvested from our partners. Clicking the link will take you directly to the archival source of the data.
Jun 19, 2024 - NIE Data Repository (Harvested)
Tay, Lee Yong; Thaslim Begum Mohamed Aiyoob; Chua, Terence Buan Kiong; Kalaivani Ramachandran; Chia, Michael, 2025, "Related Data for: Pre-schoolers’ use of technology and digital media in Singapore: Entertainment indulgence and/or learning engagement?", https://doi.org/10.25340/R4/P8OHGR
The proliferation of information and communication technology (ICT) has changed the way we live and this also has implications on how it is used for learning and entertainment. However, technology and digital media are more often seen as gateways to entertainment and the attracti...
This Dataset is harvested from our partners. Clicking the link will take you directly to the archival source of the data.
Jun 14, 2024 - Nagamese
Coupe, Alexander R., 2024, "Pear film narration", https://doi.org/10.21979/N9/DCTMVQ, DR-NTU (Data), V1
This text is a recording of the Pear Film narrated in real time as a running commentary. The recording was made to collect data for a field methods course, and the speaker is aged in his early 30s and a bilingual speaker of Angami and Nagamese.
Jun 13, 2024 - NIE Data Repository (Harvested)
Loh, Chin Ee; Gan, Sujia; Mounsey, Sarah, 2025, "Related Data for: What do children want to read? A case study of how one primary school library supported reading for pleasure", https://doi.org/10.25340/R4/5GI8GX
In a landscape where children report that they enjoy reading less, parents, educators and policymakers are increasingly concerned about how to engage children in reading for pleasure. School libraries are core spaces for encouraging reading for pleasure. This mixed-methods case s...
This Dataset is harvested from our partners. Clicking the link will take you directly to the archival source of the data.
Jun 10, 2024 - Giorgio ADAMO
Marangi, Marco; Wang, Yutao; Wu, Mengfei; Tjiptoharsono, Febiana; Kuznetsov, Arseniy I.; Adamo, Giorgio; Soci, Cesare, 2024, "Related Data for: Enhancing cooperativity of molecular J-aggregates by resonantly coupled dielectric metasurfaces", https://doi.org/10.21979/N9/SHIVGH, DR-NTU (Data), V1
Experimental and numerical data for the paper "Enhancing cooperativity of molecular J-aggregates by resonantly coupled dielectric metasurfaces"
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