DataSpace@HKUST

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1 to 10 of 1,498 Results

Dry and wet nitrogen deposition observation in coastal Hong Kong from September 2023 to November 2024 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...
Nitrogen deposition observation in coastal HK.tab Dec 5, 2025 - Dry and wet nitrogen deposition observation in coastal Hong Kong from September 2023 to November 2024 Tabular Data - 9.4 KB - 30 Variables, 16 Observations - UNF:6:zvVYa7GRAjDcYfAUlz69DQ==
Dry and wet nitrogen deposition observation in coastal Hong Kong from September 2023 to November 2024 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...
Building Facade RGB–IR Benchmark Dataset 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:...
color_IR.zip Dec 4, 2025 - Building Facade RGB–IR Benchmark Dataset ZIP Archive - 381.1 MB - MD5: 16c5af2f679c2d59be62407cec06c853
gradcam_wo_spalling.txt Dec 4, 2025 - Building Facade RGB–IR Benchmark Dataset Plain Text - 40 B - MD5: ae1e7d1b025d8babee8c859b7225dd4f
gradcam_w_spalling.txt Dec 4, 2025 - Building Facade RGB–IR Benchmark Dataset Plain Text - 47 B - MD5: 3a2a40c91e6e60bd23600dc5cd59fe3f
IR.zip Dec 4, 2025 - Building Facade RGB–IR Benchmark Dataset ZIP Archive - 166.0 MB - MD5: 4043ecf380688989bde48b0645022883
Labels.zip Dec 4, 2025 - Building Facade RGB–IR Benchmark Dataset ZIP Archive - 1.1 MB - MD5: 604559418fdbe231e9b977b1f7c9e158
label_viz.zip Dec 4, 2025 - Building Facade RGB–IR Benchmark Dataset ZIP Archive - 337.8 MB - MD5: ee3c6400efecfde6aa3146a7fdf5fa8c

Dry and wet nitrogen deposition observation in coastal Hong Kong from September 2023 to November 2024

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...

Nitrogen deposition observation in coastal HK.tab

Dec 5, 2025 - Dry and wet nitrogen deposition observation in coastal Hong Kong from September 2023 to November 2024

Tabular Data - 9.4 KB - 30 Variables, 16 Observations -

Dry and wet nitrogen deposition observation in coastal Hong Kong from September 2023 to November 2024

Dec 5, 2025

Building Facade RGB–IR Benchmark Dataset

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:...

color_IR.zip

Dec 4, 2025 - Building Facade RGB–IR Benchmark Dataset

ZIP Archive - 381.1 MB -

gradcam_wo_spalling.txt

Dec 4, 2025 - Building Facade RGB–IR Benchmark Dataset

Plain Text - 40 B -

gradcam_w_spalling.txt

Dec 4, 2025 - Building Facade RGB–IR Benchmark Dataset

Plain Text - 47 B -

IR.zip

Dec 4, 2025 - Building Facade RGB–IR Benchmark Dataset

ZIP Archive - 166.0 MB -

Labels.zip

Dec 4, 2025 - Building Facade RGB–IR Benchmark Dataset

ZIP Archive - 1.1 MB -

label_viz.zip

Dec 4, 2025 - Building Facade RGB–IR Benchmark Dataset

ZIP Archive - 337.8 MB -

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