1 to 10 of 35 Results
Sep 24, 2025 - Project: Analysing Present and Future Compound Hydroclimate Extremes in Southeast Asia
Jian, Wei; Valentina, I Gusti Ayu Diah; Lo, Edmond Yat-Man, 2025, "Related Data for: Spatiotemporal Trends of Compound Weather and Climate Extremes and Their Impacts in Southeast Asia from 1983 to 2022", https://doi.org/10.21979/N9/UJ3UCE, DR-NTU (Data), V1
This dataset contains the identified compound extreme days across Southeast Asia (10S-30N, 90-130E) for the period 1983-2022. It includes concurrent precipitation and wind extremes (CPWEs), concurrent dry spell and heat extremes (DSHEs), and humid heatwave extremes (HHWEs). These... |
Aug 4, 2025 - Project: Analysing Present and Future Compound Hydroclimate Extremes in Southeast Asia
Liu, Lilingjun; Qin, Xiaosheng, 2025, "Related Data for: Investigating Compound Drought and Hot Extreme Events in Southeast Asia Through Copula Analysis", https://doi.org/10.21979/N9/BRQAQL, DR-NTU (Data), V1
This dataset consists of the intensity of univariate extreme indices to quantify compound drought and heatwave extremes (DRHE) events in Southeast Asia. The dataset strictly covers the warm season from 1941-2023. Source: ERA5 Reanalysis dataset. |
Jul 21, 2025 - Project: Analysing Present and Future Compound Hydroclimate Extremes in Southeast Asia
Valentina, I Gusti Ayu Diah; Jian, Wei; Lo, Edmond Yatman, 2027, "Related Data for: Compound Wind and Precipitation Extremes – Predictions for Southeast Asia Coastal Cities", https://doi.org/10.21979/N9/FZ4L2W, DR-NTU (Data), V1
This dataset consists of compound precipitation and wind (CPW) extremes days in three cities for each group during the historical climate (1975-2005) and present climate (2006-2023) under the RCP 4.5 scenario. CPW extreme days date entry is written in yyyyddmm format for each cit... |
Jul 2, 2024 - QIN Xiaosheng
Muthuvel, Dineshkumar, 2024, "Future annual extreme precipitation indices for South East Asia", https://doi.org/10.21979/N9/7ELP0O, DR-NTU (Data), V1, UNF:6:qvuBjyMn1EN7e0wf87BVTw== [fileUNF]
Future annual extreme precipitation indices for South East Asian countries have been provided. Variables used: R95p: total precipitation when rain > 95th percentile (mm) Rx5Day: maximum 5-day precipitation (mm) R10mm: number of heavy precipitation days 10 >= rain < 20 mm (days) C... |
Nov 4, 2023 - iTrust_project - Dataverse
Wei, Yuying, 2023, "data collected", https://doi.org/10.21979/N9/HMCB5L, DR-NTU (Data), V1
from PLC |
Oct 31, 2023 - [PUB-1801-0010] Scale-Up The Fabrication Of High Performance Aquaporin (AQP)-Based Biomimetic Flat-Sheet Membranes For Seawater Desalination
Lai, Gwo Sung, 2023, "Pilot Site Testing Data", https://doi.org/10.21979/N9/YNCIUS, DR-NTU (Data), V2
Pilot Site Testing Data |
Oct 31, 2023 - [PUB-1801-0010] Scale-Up The Fabrication Of High Performance Aquaporin (AQP)-Based Biomimetic Flat-Sheet Membranes For Seawater Desalination
Lai, Gwo Sung, 2023, "SMTC Lab Filtration Data", https://doi.org/10.21979/N9/VFBKEO, DR-NTU (Data), V2
SMTC Lab Filtration Data |
Oct 30, 2023 - [PUB-1801-0010] Scale-Up The Fabrication Of High Performance Aquaporin (AQP)-Based Biomimetic Flat-Sheet Membranes For Seawater Desalination
Lai, Gwo Sung, 2023, "START Phase Two Data", https://doi.org/10.21979/N9/89UF9L, DR-NTU (Data), V1, UNF:6:hGIeeMZgpVC95OUIcpgiNQ== [fileUNF]
START Phase Two Data - PI and TFC Line Data |
Jun 21, 2023 - Development Of 8 Inch Novel High Efficiency Pressure Retarded Osmosis (PRO) Membrane Modules Towards Potential Pilot Testing And Field Validation
Ng, Daniel Yee Fan; Wang, Rong, 2023, "Scaling up the fabrication of hollow fiber PRO membrane module", https://doi.org/10.21979/N9/3BMCMW, DR-NTU (Data), V1, UNF:6:kFcMmB3+ju8OMfh45vQeNw== [fileUNF]
This set of data included all compiled experimental data generated from the project titled "Development Of 8 Inch Novel High Efficiency Pressure Retarded Osmosis (PRO) Membrane Modules Towards Potential Pilot Testing And Field Validation". |
Jun 14, 2023 - Wang Zhiwei
Wang, Zhiwei, 2023, "Public Transportation Services With Autonomous Vehicles", https://doi.org/10.21979/N9/OXNZF7, DR-NTU (Data), V1, UNF:6:2yqWniX96QkeAjyOWMRprg== [fileUNF]
For the project of Public Transportation Services With Autonomous Vehicles. |
