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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.

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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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1,261 to 1,270 of 2,385 Results
Oct 31, 2022 - SONG Justin Chien Wen
Song, Justin Chien Wen, 2022, "Replication Data for: Symmetry, spin-texture, and tunable quantum geometry in a WTe2 monolayer", https://doi.org/10.21979/N9/SPUNGY, DR-NTU (Data), V1
The data set contains the data for the paper "Symmetry, spin-texture, and tunable quantum geometry in a WTe2 monolayer"
Oct 25, 2022 - Safe ML
Yuhas, Michael John, 2022, "Replication Data for: Demo Abstract: Real-Time Out-of-Distribution Detection on a Mobile Robot", https://doi.org/10.21979/N9/INOCLV, DR-NTU (Data), V2
Replication Data for "Demo Abstract: Real-Time Out-of-Distribution Detection on a Mobile Robot" This data set contains a series of scenes (sequential images) gathered by a DB21M Duckiebot navigating a straight track inside the HESL (Hardware and Embedded Systems Laboratory). The...
Oct 21, 2022 - Jin Chengming
Jin, Chengming, 2022, "WP3 Ranging experiments Part 1", https://doi.org/10.21979/N9/6ME4IY, DR-NTU (Data), V1
As part of the WP3 project requirements, some of ranging measurement data are publicly shared and deposited.
Oct 21, 2022 - Team Learning in EEE Lab
Rusli, 2022, "Team learning in laboratories", https://doi.org/10.21979/N9/IBT89I, DR-NTU (Data), V1, UNF:6:Y+dsJBBGAv9KySvUjFOUag== [fileUNF]
This is the data set for the project on Team Learning in Laboratories. The paper: The Impact of Collaborative Learning on Theoretical Understanding in Electrical Engineering Laboratories: A Quasi-Experimental Study, was presented at Frontiers in Education 2022 (FIE 2022), Upsala,...
Oct 20, 2022 - Ultrafast Photonics Research Group
Deng, Ang, 2022, "Microjoule-level mid-infrared femtosecond pulse generation in hollow-core fibres", https://doi.org/10.21979/N9/P3OPPA, DR-NTU (Data), V2, UNF:6:ehOViWsVr2Ld4geyWjq5LQ== [fileUNF]
This dataset demonstrates a fiber-based approach that generates mid-infrared femtosecond pulses in the 3-4 µm spectral region with microjoule-level single pulse energy in gas-filled hollow-core fibers
Oct 17, 2022 - Jin Chengming
Jin, Chengming, 2022, "Positioning Experiments using C-V2X freq", https://doi.org/10.21979/N9/S31QEB, DR-NTU (Data), V3
As part of the WP3 project requirements, some channel measurement data related to ranging are publicly shared
Oct 13, 2022 - Arora Arpit
Arora, Arpit, 2022, "Replication Data for: Cooperative orbital moments and edge magnetoresistance in monolayer WTe2", https://doi.org/10.21979/N9/DKLSGJ, DR-NTU (Data), V1
This dataset contains the data used to obtain the figures presented in "Cooperative orbital moments and edge magnetoresistance in monolayer WTe2".
Oct 13, 2022 - MOE Tier 1 grant RG105-17
Loh, Zhi Heng, 2022, "Replication Data for: Spin-Orbit State-Selective C–I Dissociation Dynamics of the CH3I+ X ̃ Electronic State Induced by Intense Few-Cycle Laser Fields", https://doi.org/10.21979/N9/KVF8BP, DR-NTU (Data), V1
Replication Data for: Spin-Orbit State-Selective C–I Dissociation Dynamics of the CH3I+ X ̃ Electronic State Induced by Intense Few-Cycle Laser Fields
Oct 13, 2022 - MOE Tier 1 grant RG105-17
Loh, Zhi Heng, 2022, "Replication Data for: Tracking Ultrafast Bond Dissociation Dynamics at 0.1 Å Resolution by Femtosecond Extreme Ultraviolet Absorption Spectroscopy", https://doi.org/10.21979/N9/A6SXEH, DR-NTU (Data), V1
Replication Data for: Tracking Ultrafast Bond Dissociation Dynamics at 0.1 Å Resolution by Femtosecond Extreme Ultraviolet Absorption Spectroscopy
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