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

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31 to 40 of 72,601 Results
DATA.zip
Jan 16, 2026 - Understanding the structure–activity relationship of additives for durable Zn metal batteries: a case study of aromatic molecules
ZIP Archive - 895.7 MB - MD5: da71e507d16d23559d4b0a7fffad8efe
Related Data for: Highly rechargeable aqueous Sn-metal-based hybrid-ion batteriesEmbargoed
Jan 16, 2026 - MOE Tier 2 -ZAB
Xiao, Tao; Liu, Lingli; Liu, Huan; Li, Ting; Cai, Daqian; Lew, Wen Siang; Zhang, Yongqi, 2027, "Related Data for: Highly rechargeable aqueous Sn-metal-based hybrid-ion batteries", https://doi.org/10.21979/N9/ROUPQK, DR-NTU (Data), V1
Tin (Sn) metal, with its intrinsic resistance to the hydrogen evolution reaction (HER), holds great promise as an anode for safe and rechargeable aqueous Sn-metal batteries (ASBs). However, the major challenges for their practical deployment include uneven Sn deposition and low S...
Raw data for joule.rarEmbargoed
Jan 16, 2026 - Related Data for: Highly rechargeable aqueous Sn-metal-based hybrid-ion batteries
Compressed Archive - 114.9 MB - MD5: a0ae30536a1b32fda5c75ea5be0c063f
Replication Data for: Surface-Tension Induced High Packing Density Carbon Nanoribbons Film with Ultrahigh Volumetric Capacitance
Jan 16, 2026 - MOE Tier 1 (RG10/24) -Rational design of nano-confinement pores
Fan, Hongjin, 2026, "Replication Data for: Surface-Tension Induced High Packing Density Carbon Nanoribbons Film with Ultrahigh Volumetric Capacitance", https://doi.org/10.21979/N9/WAPRIJ, DR-NTU (Data), V1, UNF:6:Yc/rPGDcKI1IQSGaCgY96w== [fileUNF]
Raw data for all plots in the paper: Xiao Jun Shi, Huanwen Wang*, Taoqiu Zhang, Tong Xue, Haiyong He and Hong Jin Fan*, Surface-Tension Induced High Packing Density Carbon Nanoribbons Film with Ultrahigh Volumetric Capacitance, Energy Environ. Sci., 2025,18, 10413-10424
Raw data sharing.tab
Jan 16, 2026 - Replication Data for: Surface-Tension Induced High Packing Density Carbon Nanoribbons Film with Ultrahigh Volumetric Capacitance
Tabular Data - 12.1 KB - 6 Variables, 419 Observations - UNF:6:Yc/rPGDcKI1IQSGaCgY96w==
Feedback system in NTU: A student-faculty collaboration
Jan 16, 2026 - Irda NALLS
Nalls, Irda; Leong, Alvin Ping; Hsieh, Yi-Chin, 2026, "Feedback system in NTU: A student-faculty collaboration", https://doi.org/10.21979/N9/J253AI, DR-NTU (Data), V1
This video demonstrates to students what an effective and constructive feedback on teaching look like. Following the acronym, SFT, it suggests 3 components to consider when providing feedback. Students are encouraged to describe the situation, consider their feeling, and provide...
Feedback for NTU -- SFT System.mp4
Jan 16, 2026 - Feedback system in NTU: A student-faculty collaboration
MPEG-4 Video - 21.9 MB - MD5: af66550776335e1f156f1332bb354fa3
Replication Data for: Two Causally Related Needles in a Video Haystack
Replication Data for: Two Causally Related Needles in a Video Haystack
Jan 16, 2026 - 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), V2
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...
symon_url_list.txt
Jan 16, 2026 - Replication Data for: Two Causally Related Needles in a Video Haystack
Plain Text - 4.2 KB - MD5: 2fcb0ae4420a2a8ec147752c792cba7c
yms_movie_list.txt
Jan 16, 2026 - Replication Data for: Two Causally Related Needles in a Video Haystack
Plain Text - 6.1 KB - MD5: a014a77831f333b24b641b19d5803bed
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