351 to 360 of 543 Results
Jun 6, 2022 - Luis Morgado da Costa
Morgado da Costa, Luis; Winder, Roger V. P.; Li, Shu Yun; Lin, Benedict Christopher; Mackinnon, Joseph; Bond, Francis, 2022, "NTU Corpus of Learner English (NTUCLE)", https://doi.org/10.21979/N9/MMPDVS, DR-NTU (Data), V1
The NTU Corpus of Learner English (NTUCLE) is a corpus of learner English designed to help provide writing support for engineering students. The corpus comprises assignments submitted by first year engineering student at NTU, and was tagged using a new error tag set designed spec... |
Jun 6, 2022Graduate College
Appointment: PhD student (Graduated) This is the dataverse for Luis Morgado da Costa, PhD Graduate from the Interdisciplinary Graduate Program. |
Jun 6, 2022 - Chan Kok Ken
Chan, Kok Ken, 2022, "Replication Data for: Water-stable Perovskite Quantum Dots-Based FRET Nanosensor for the Detection of Rhodamine 6G in Water, Food, and Biological Samples", https://doi.org/10.21979/N9/8ZURD3, DR-NTU (Data), V1, UNF:6:DBhvRwxxlwI1iwvRkAnN1A== [fileUNF]
The practical application of perovskite quantum dots (QDs) for sensing in the aqueous phase has been restricted by their poor resistance to moisture and oxygen due to their highly ionic characteristic. In this work, we employed silica and phospholipid co-encapsulated water-stable... |
Jun 6, 2022School of Electrical and Electronic Engineering (EEE)
Appointment: Research Fellow (Former) |
May 28, 2022 - Sarthak Srivastava
Sarthak, Srivastava, 2022, "Replication Data for: A nonlinear numerical model for comparative study of acoustic-gravity wave propagation in planetary atmospheres: application to Earth and Mars", https://doi.org/10.21979/N9/VGYQ9M, DR-NTU (Data), V2
This dataset includes data required for reproducing figures 4, 6, 7, 8, 9, 10, 13, 14, 15, 16, 20, 21, and 22 in the paper. The data is presented in form of MATLAB figure files (.fig format). All data arrays (corresponding to line plots or contours) can be extracted from the .fig... |
May 27, 2022 - (Research Project) Sustainable Stabilisation Of Soft Clay Using Industry By-Products/Wastes
Xu, Bo; Yi, Yaolin, 2022, "Replication Data for: Soft clay stabilization using ladle slag-ground granulated blastfurnace slag blend", https://doi.org/10.21979/N9/GLPOWJ, DR-NTU (Data), V1, UNF:6:CqhpKuqi+Z9YGn6IdSNFGg== [fileUNF]
This dataset contains the results supporting the findings in the work "Soft clay stabilization using ladle slag-ground granulated blastfurnace slag blend" |
May 27, 2022 - (Research Project) Sustainable Stabilisation Of Soft Clay Using Industry By-Products/Wastes
Xu, Bo; Yi, Yaolin, 2022, "Replication Data for: Use of ladle furnace slag containing heavy metals as a binding material in civil engineering", https://doi.org/10.21979/N9/VYESFU, DR-NTU (Data), V1, UNF:6:nnbtwomXQB89Fp0l0udcjw== [fileUNF]
This dataset contains the results supporting the findings in the work "Use of ladle furnace slag containing heavy metals as a binding material in civil engineering" |
May 27, 2022 - Social and Affective Neuroscience
Gabrieli, Giulio; Bizzego, Andrea; Azhari, Atiqah; Lim, Mengyu; Esposito, Gianluca, 2022, "Dataset of parent-child hyperscanning fNIRS recordings", https://doi.org/10.21979/N9/35DNCW, DR-NTU (Data), V2, UNF:6:qL7fON9Bc4SVka7U9+orJw== [fileUNF]
This collection includes hyperscanning fNIRS recordings from 33 Mother-Child and 29 Father-Child dyads, during two different tasks: a passive video viewing task, and an interactive play session. Demographic and behavioral data are present, as well as analysis of the video stimuli... |
May 27, 2022 - ADATIME
Ragab, Mohamed; Eldele, Emadeldeen, 2022, "UCI HAR Dataset Processed", https://doi.org/10.21979/N9/0SYHTZ, DR-NTU (Data), V1
UCIHAR is one of the most widely used datasets to evaluate performance on time series data. It contains three different sensors namely, accelerometer, gyroscope, and body sensors. These sensors have been used to collect data from 30 different persons. In our experiments, we treat... |
May 27, 2022 - ADATIME
Ragab, Mohamed; Eldele, Emadeldeen, 2022, "Subject-wise Sleep Stage Data", https://doi.org/10.21979/N9/UD1IM9, DR-NTU (Data), V1
Sleep stage classification (SSC) problem aims to classify the electroencephalography (EEG) signals into five stages i.e. Wake (W), Non-Rapid Eye Movement stages (N1, N2, N3), and Rapid Eye Movement (REM). We adopted Sleep-EDF dataset (Goldberger et al., 2000), which contains EEG... |
