1 to 10 of 191 Results
Feb 16, 2026 - AoE project Centre for Slope Safety
NG, Charles Wang Wai; POUDYAL, Sunil; CUI, Peng; LIU, Haiming; LI, Zhi; ZHENG, Min; JIA, Zhenyang; BHATTA, Aastha; DE SILVA, Weerakonda Arachchige Roanga Kasuni; ZHOU, Gordon Gong Dan; PETRINI, Claudio; DENK, Matthias; SONG, Dongri, 2025, "A 190-m-long flume for investigation of debris flow impacts on multiple flexible barriers", https://doi.org/10.14711/dataset/WMVMNZ, DataSpace@HKUST, V2, UNF:6:Lhtks1nc8ldIpECscuo8JQ== [fileUNF]
Dataset for the journal article "A 190-m-long flume for investigation of debris flow impacts on multiple flexible barriers" including the supplementary information, test data and videos of debris flow impact kinematics. |
Feb 13, 2026 - Gaseous Nitrated Phenolic Compounds in Urban
ZHONG, Jiali, 2026, "Data for 'Characterizing the Source and Formation of Gaseous Nitrated Phenolic Compounds in Urban Shanghai'", https://doi.org/10.14711/dataset/OBKZCO, DataSpace@HKUST, V1, UNF:6:y4WNhgwmTOTM2twX+wmGLQ== [fileUNF]
Observation data in urban Shanghai. |
Feb 13, 2026
Information for "Characterizing the Source and Formation of Gaseous Nitrated Phenolic Compounds in Urban Shanghai'. |
Jan 15, 2026 - Unraveling the Mechanism of Hypermobility in Debris-Ice Avalanches Insights from Centrifuge Modeling
HE, Xin, 2026, "Unraveling the Mechanism of Hypermobility in Debris-Ice Avalanches Insights from Centrifuge Modeling", https://doi.org/10.14711/dataset/AHSU8I, DataSpace@HKUST, V2, UNF:6:DfRGlzuBfTW3KztAanytlw== [fileUNF]
Supplementary information for "Unraveling the Mechanism of Hypermobility in Debris-Ice Avalanches Insights from Centrifuge Modeling" submitting to JGR: Solid Earth |
Jan 13, 2026
Supplementary information for "Unraveling the Mechanism of Hypermobility in Debris-Ice Avalanches Insights from Centrifuge Modeling" |
Dec 22, 2025 - Aerosol pH and sensitivity test at Yuen Long site from July 2013 to June 2017
ZHANG, Zijing; YU, Jianzhen, 2025, "Aerosol pH and sensitivity test at Yuen Long site from July 2013 to June 2017", https://doi.org/10.14711/dataset/JKV87K, DataSpace@HKUST, V2, UNF:6:ehVGUieAYZWc4JoMzLvJ9w== [fileUNF]
This file included 1) calculated results of aerosol pH in different seasons in YL site; 2) Sensitivity test of WSIIs concentration to the reduction of TNH3, TNO3 and sulfate during fall and winter; 3) Threshold value for Classfying ammonia-rich and ammonia-poor regime in YL site. |
Dec 19, 2025
These files contain the MARGA measured concentration of WSIIs at Yuen Long site in Hong Kong. Aerosol pH was calculated based on the concentration of components and meteorology conditions. The response of WSIIs to the reduction of TNO3, TNH3 and sulfate was also included in the d... |
Dec 5, 2025 - Dry and wet nitrogen deposition observation in coastal Hong Kong from September 2023 to November 2024
YU, Xu; YU, Jianzhen, 2025, "Dry and wet nitrogen deposition observation in coastal Hong Kong from September 2023 to November 2024", https://doi.org/10.14711/dataset/7OXOPK, DataSpace@HKUST, V1, UNF:6:zvVYa7GRAjDcYfAUlz69DQ== [fileUNF]
This file contains the observed monthly wet and dry deposition of ammonium-nitrogen, nitrate-nitrogen, and water-soluble organic nitrogen in coastal Hong Kong from September 2023 to November 2024. The dry deposition was collected using dual surrogate surfaces - water and quartz f... |
Dec 5, 2025
This file contains the observed monthly wet and dry deposition of ammonium-nitrogen, nitrate-nitrogen, and water-soluble organic nitrogen in coastal Hong Kong from September 2023 to November 2024. The dry deposition was collected using dual surrogate surfaces - water and quartz f... |
Dec 4, 2025 - Building Facade RGB–IR Benchmark Dataset
HE, Sudao; ZHANG, Shenghan, 2025, "Building Facade RGB–IR Benchmark Dataset", https://doi.org/10.14711/dataset/BEC8FI, DataSpace@HKUST, V1
The dataset comprises 1,028 aligned RGB–IR image pairs collected using an unmanned aerial vehicle (UAV) on the HKUST campus. It is designed to support the training and evaluation of cross‑modal deep learning algorithms for RGB–IR–based building façade inspection. Acknowledgement:... |
