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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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2,401 to 2,410 of 3,297 Results
Dataverse for publications(Nanyang Technological University)
Aug 30, 2020XUE Can
Data for the published journal paper
XUE Can(Nanyang Technological University)
XUE Can logo
Aug 30, 2020School of Materials Science and Engineering (MSE)
Research topics: 1) Development of novel plasmonic nanomaterials for solar energy applications (photovoltaics and photocatalysis) using anisotropic metallic nanostructures that exhibit unique surface plasmon resonance properties in the visible and near-IR region. 2) Fabrication o...
TAY Beng Kang(Nanyang Technological University)
TAY Beng Kang logo
Aug 26, 2020School of Electrical and Electronic Engineering (EEE)
Research topics: • Fabrication of carbon nanotubes for high frequency applications (such as EM shielding, Slow wave devices, etc) • Preparation and characterization of wafer-scaled 2D materials and their heterostructures • Application of 2D materials for photodetectors (using gra...
Aug 26, 2020 - Software Reliability and Security Lab
Du, Xiaoning; Li, Yi; Xie, Xiaofei; Ma, Lei; Liu, Yang; Zhao, Jianjun, 2020, "Supplementary Materials for: Marble: Model-based Robustness Analysis of Stateful Deep Learning Systems", https://doi.org/10.21979/N9/TTTSFK, DR-NTU (Data), V1
This supplementary material contains additional proofs for the paper: "Marble: Model-based Robustness Analysis of Stateful DeepLearning Systems".
Aug 26, 2020 - Oliver Martin MUELLER-CAJAR
Mueller-Cajar, Oliver Martin, 2020, "Mass spectrometry data for: Rubisco activase remodels plant Rubisco via the large subunit N-terminus", https://doi.org/10.21979/N9/WOPJB3, DR-NTU (Data), V1
*.raw files corresponding to MS experiments determining the N-terminus of Rubisco large subunit variants generated in this work.
Aug 24, 2020 - Kline Lab RNAseq
Artur Matysik; Adeline Yong, 2020, "Related Data for: Adeline Yong RNAseq", https://doi.org/10.21979/N9/1W3HWR, DR-NTU (Data), V1
RAW RNAseq (fastq) files generated by Adeline Yong OG1RF, htrA, srtA, htrAsrtA
Kline Lab RNAseq(Nanyang Technological University)
Aug 24, 2020KlineLab@NTU
Aggregated RAW data from Kline-lab RNA sequencing experiments.
Aug 21, 2020 - Software Reliability and Security Lab
Zhu, Chenguang; Li, Yi; Rubin, Julia; Chechik, Marsha, 2020, "Replication Data for: GenSlice: Generalized Semantic History Slicing", https://doi.org/10.21979/N9/LPHCUS, DR-NTU (Data), V3
This dataset contains the raw experiment data and replication package for the ICSME'20 paper: "GenSlice: Generalized Semantic History Slicing". The replication package is also available at: https://github.com/Chenguang-Zhu/icsme20-artifact (2020-08-06)
Ling Xing Yi(Nanyang Technological University)
Ling Xing Yi logo
Aug 20, 2020School of Chemistry, Chemical Engineering and Biotechnology (CCEB)
Research topics: • Involve nanoparticle synthesis, surface chemistry, self-assembly, nanopatterning, nanofabrication, and materials and device characterization.
Aug 18, 2020 - Scott Rice
Rice, Scott; Booth, Sean, 2020, "Replication data for: Influence of interspecies interactions on the spatial organization of dual species bacterial communities.", https://doi.org/10.21979/N9/FBXSXV, DR-NTU (Data), V1
This folder contains the microscopy images listed in the below table. They were collected over 2018/2019 by Sean Booth, a postdoc working for Scott Rice. Samples were prepared as follows.
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