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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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1 to 10 of 2,915 Results
HAMSOM and ECOHAM model codes
Nov 21, 2024 - HAMSOM–ECOHAM physical and biogeochemical modelling
Mayer, Bernhard Andreas, 2024, "HAMSOM and ECOHAM model codes", https://doi.org/10.21979/N9/J1QJDL, DR-NTU (Data), V1
The files contain the model codes and scripts used to create the data on which our analyses were based for the related publication. It is one file for the regional circulation model HAMSOM and another one for the regional ecosystem model ECOHAM.
Catchment peatland coverage
Nov 20, 2024 - HAMSOM–ECOHAM physical and biogeochemical modelling
Martin, Patrick, 2024, "Catchment peatland coverage", https://doi.org/10.21979/N9/NPHRHN, DR-NTU (Data), V1
Data and codes used to determine percentage area coverage by peatlands in catchments across SE Asia. Catchments are those catchments used to define river inflow in HAMSOM, based on the MPI hydrological model. Analysis was performed by ASE student Shawn Ang Bing Hong in 2023.
HAMSOM–ECOHAM physical and biogeochemical modelling(Nanyang Technological University)
Nov 20, 2024Marine biogeochemistry group
Dataverse for datasets generated by, or used as input for, the physical and biogeochemical modelling of terrestrial dissolved organic carbon across the Sunda Shelf Sea using the models HAMSOM and ECOHAM.
Related Data for: Cascaded FSO systems with optical reflecting surfaces
Nov 15, 2024 - Narendra VISHWAKARMA
Vishwakarma, Narendra; Swaminathan, R.; Diamantoulakis, Panagiotis D.; Karagiannidis, George K., 2024, "Related Data for: Cascaded FSO systems with optical reflecting surfaces", https://doi.org/10.21979/N9/WKU9JA, DR-NTU (Data), V1
MATLAB and Python source code the publication title: "Cascaded FSO systems with optical reflecting surfaces" These code will produce the outage probability and Bit error rate plots for the above paper
The benefit of soundscaping naturalistic sounds within urban residential areas: Mental fatigue recovery.
Nov 14, 2024 - Aaron ANG Jit Wei
Ang, Jit Wei, 2024, "The benefit of soundscaping naturalistic sounds within urban residential areas: Mental fatigue recovery.", https://doi.org/10.21979/N9/X8ZH1D, DR-NTU (Data), V1, UNF:6:pjfViFAEk4N0A7+kaDKw8A== [fileUNF]
PPG peak to peak raw data of participants.
Aaron ANG Jit Wei(Nanyang Technological University)
Nov 14, 2024Nanyang Business School (NBS)
Appointment: Research Fellow
Smart Mechatronic Lab for Industrial Collaborative Robotics in Manufacturing
Nov 14, 2024 - LYU Chen
Chen, Lyu, 2024, "Smart Mechatronic Lab for Industrial Collaborative Robotics in Manufacturing", https://doi.org/10.21979/N9/Y7QM2O, DR-NTU (Data), V1
Dataset for Smart Mechatronic Lab for Industrial Collaborative Robotics in Manufacturing
Replication Data for: Thermogalvanic cell dressing
Nov 9, 2024 - WEI Lei
Wei, Lei, 2023, "Replication Data for: Thermogalvanic cell dressing", https://doi.org/10.21979/N9/ELSU4C, DR-NTU (Data), V5
TE Analysis
Replication Data for: Leveraging local depth phases for improved hypocenter analysis and discovery of a thick seismogenic zone in Ridgecrest, California
Nov 7, 2024 - TONG Ping
Tong, Ping, 2024, "Replication Data for: Leveraging local depth phases for improved hypocenter analysis and discovery of a thick seismogenic zone in Ridgecrest, California", https://doi.org/10.21979/N9/BHCBP6, DR-NTU (Data), V1
sP phase data collected in the Ridgecrest region, California
Video Diffusion Models are Training-free Motion Interpreter and Controller
Nov 7, 2024 - S-Lab for Advanced Intelligence
Xiao, Zeqi; Zhou, Yifan; Yang, Shuai; Pan, Xingang, 2024, "Video Diffusion Models are Training-free Motion Interpreter and Controller", https://doi.org/10.21979/N9/HQM313, DR-NTU (Data), V1
Video generation primarily aims to model authentic and customized motion across frames, making understanding and controlling the motion a crucial topic. Most diffusion-based studies on video motion focus on motion customization with training-based paradigms, which, however, deman...
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