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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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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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1,411 to 1,420 of 2,385 Results
Jun 16, 2022 - Self-Supervised Autoregressive Domain Adaptation for Time Series Data
Ragab, Mohamed, 2022, "Paderborn Dataset Processed for Domain Adaptation Scenarios", https://doi.org/10.21979/N9/X6M827, DR-NTU (Data), V1
The dataset contains sensor readings of bearing machines under 4 different operating conditions, with each having 3 different classes, i.e., healthy, inner-bearing damage, and outer-bearing damage. Each operating condition refers to different operating parameters, including rotat...
Jun 15, 2022 - CHANG Xin
Chang, Xin, 2022, "Replication Data for: Corporate Environmental Risk and the Customer-Supplier Relationship", https://doi.org/10.21979/N9/MY79IS, DR-NTU (Data), V1, UNF:6:V5l2ey9EiOFR7Jq1T5baaw== [fileUNF]
This dataset contains data for the paper "Corporate Environmental Risk and the Customer-Supplier Relationship", which stems from the project "Stakeholder Orientation And Cost Of Debt".
Jun 15, 2022 - Paul Wen LIU
Liu, Paul Wen, 2022, "Hypothesis-driven Synthesis of Capacity-Enhanced Oxygen Carriers for Chemical Looping Combustion", https://doi.org/10.21979/N9/ODDRIU, DR-NTU (Data), V1, UNF:6:oGA8PxgJenUqut9kJp1JsA== [fileUNF]
Dataset for MOE AcRF Tier 1 project RG112/18
Jun 15, 2022 - Shingo Ito
Ito, Shingo, 2022, "Replication Data for: Synthesis of π-Extended Imidazoles by 1,3-Dipolar Cycloaddition of Polycyclic Aromatic Azomethine Ylides with Nitriles", https://doi.org/10.21979/N9/9PTQOF, DR-NTU (Data), V1
This dataset contains experimental data reported in the paper "Synthesis of π-Extended Imidazoles by 1,3-Dipolar Cycloaddition of Polycyclic Aromatic Azomethine Ylides with Nitriles".
Jun 15, 2022 - Shingo Ito
Ito, Shingo, 2022, "Replication Data for: On-Surface Synthesis of a π‐Extended Diaza[8]circulene", https://doi.org/10.21979/N9/ZA778V, DR-NTU (Data), V1
This dataset contains experimental data reported in the paper "On-Surface Synthesis of a π‐Extended Diaza[8]circulene".
Jun 15, 2022 - Shingo Ito
Ito, Shingo, 2022, "Replication Data for: An Endergonic Synthesis of Single Sondheimer-Wong Diyne by Local Probe Chemistry", https://doi.org/10.21979/N9/CQCRC3, DR-NTU (Data), V1
This dataset contains experimental data reported in the paper "An Endergonic Synthesis of Single Sondheimer-Wong Diyne by Local Probe Chemistry".
Jun 15, 2022 - Shingo Ito
Ito, Shingo, 2022, "Replication Data for: Stepwise Reduction of Azapentabenzocorannulene", https://doi.org/10.21979/N9/AV6GND, DR-NTU (Data), V1
This dataset contains experimental data reported in the paper "Stepwise Reduction of Azapentabenzocorannulene".
Jun 14, 2022 - LYU Chen
Lyu, Chen; Xing, Yang, 2022, "Related Data for: Improving Environmental Sustainability through Energy Efficient Driving: Eco-driving of Autonomous Electric Vehicle Platoons", https://doi.org/10.21979/N9/RL5UEH, DR-NTU (Data), V1
Related Data for our project: Improving Environmental Sustainability through Energy Efficient Driving: Eco-driving of Autonomous Electric Vehicle Platoons
Jun 14, 2022 - Paul Wen LIU
Liu, Paul Wen, 2022, "CO2 Hydrogenation to Methanol on Tungsten-Doped Cu/CeO2 Catalysts", https://doi.org/10.21979/N9/UHVEMA, DR-NTU (Data), V1, UNF:6:O68hiZxNyVYbiqnBdoEZGg== [fileUNF]
Data for CO2 Hydrogenation to Methanol on Tungsten-Doped Cu/CeO2 Catalysts
Jun 14, 2022 - Digital Signal Processing Laboratory
Ooi, Kenneth; Lam, Bhan; Hong, Joo Young; Watcharasupat, Karn N.; Ong, Zhen-Ting; Gan, Woon-Seng, 2022, "Replication Data for: Singapore Soundscape Site Selection Survey (S5): Identification of Characteristic Soundscapes of Singapore via Weighted k-means Clustering", https://doi.org/10.21979/N9/BBBPMO, DR-NTU (Data), V1, UNF:6:KzYyK4KiBnggaHuk9R2Lpg== [fileUNF]
This dataset contains the data used for all statistical analysis in our publication "Singapore Soundscape Site Selection Survey (S5): Identification of Characteristic Soundscapes of Singapore via Weighted k-means Clustering", summarised in a single .csv file. For more details on...
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