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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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1,111 to 1,120 of 3,555 Results
QIN Xiaosheng (Nanyang Technological University)
QIN Xiaosheng logo
Jun 25, 2024School of Civil and Environmental Engineering (CEE)
Research topics: • Water resources and flood risk management • Surface water quality modeling and control • Climate change impact assessment and adaptation planning • Groundwater modeling, risk assessment and site remediation • Air quality control and solid waste management
Replication Data for: Urine Osmolality Assessment through the Integration of Urea Hydrolysis and Impedance Measurement
Jun 25, 2024 - Marcos
Kong, Tian Fook; Shen, Xinhui; Marcos, 2024, "Replication Data for: Urine Osmolality Assessment through the Integration of Urea Hydrolysis and Impedance Measurement", https://doi.org/10.21979/N9/F88FRJ, DR-NTU (Data), V2, UNF:6:Eisq+s88jDM0K2spDYE2PA== [fileUNF]
Replication Data for: Urine Osmolality Assessment through the Integration of Urea Hydrolysis and Impedance Measurement
Coronavirus Neutralizing Antibodies(Nanyang Technological University)
Jun 20, 2024KWOH Chee Keong
Replication Data for: Towards Explainable In-the-Wild Video Quality Assessment: A Database and a Language-Prompted Approach
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.
Replication Data for: Q-Bench: A Benchmark for General-Purpose Foundation Models on Low-level Vision
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.
Replication Data for: Q-Instruct: Improving Low-level Visual Abilities for Multi-modality Foundation Models
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.
Pear film narration
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.
Nagamese(Nanyang Technological University)
Jun 14, 2024Alexander R. COUPE
LIN Weisi(Nanyang Technological University)
LIN Weisi logo
Jun 12, 2024College of Computing and Data Science (CCDS)
Research topics: • Image processing • Perceptual modeling • Video compression • Multimedia communication and computer vision • Computer vision
Related Data for: Enhancing cooperativity of molecular J-aggregates by resonantly coupled dielectric metasurfaces
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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