1 to 10 of 171 Results
Jun 9, 2025 - Biogeochemistry of deep-sea methane seeps
LI, Jiying; LIN, Yuxuan, 2025, "Sediment iron and phosphorus species and fluxes at Haima methane seeps", https://doi.org/10.14711/dataset/VOGU6C, DataSpace@HKUST, V2, UNF:6:EShFk/eCttMt4HV02iL1Ew== [fileUNF]
We characterize the geochemistry of the sediments in the deep-sea methane seeps located in the continental slope of the northern South China Sea, the Haima cold seeps (1300–1500 m) and quantify the effluxes of dissolved iron and phosphate from the sediments. |
May 27, 2025 - HKUST Library Digital Scholarship CoLab Projects
HKUST Library - Digital Scholarship, 2025, "Chinese Named-Entity Recognition (NER) Tool", https://doi.org/10.14711/dataset/B6IUMG, DataSpace@HKUST, V1
Named-Entity Recognition (NER) is a natural language processing technique that can automatically identify and categorize key elements such as people, organizations, locations, dates, and other important concepts within a large amount of text. This technique enables researchers to... |
May 27, 2025 - HKUST Library Digital Scholarship CoLab Projects
HKUST Library - Digital Scholarship, 2025, "Object Detection, Image Tagging, Facial Recognition", https://doi.org/10.14711/dataset/M7JKCW, DataSpace@HKUST, V1
The Library has a site “HKUST Digital Images“, which serves as a valuable archive of the university’s history, comprising over 30,000 photos of the University’s early events from 1988 to the early 2000s with diverse scenes, including campus construction, teaching and learning act... |
May 27, 2025 - HKUST Library Digital Scholarship CoLab Projects
HKUST Library - Digital Scholarship, 2025, "English and Chinese Topic Modeling Tool", https://doi.org/10.14711/dataset/T8EAGO, DataSpace@HKUST, V1
Topic modeling is a natural language processing technique that can uncover the underlying themes or topics within a collection of documents. By analyzing large volumes of text, this technique helps researchers group related content of documents together, making it easier to under... |
May 27, 2025 - HKUST Library Digital Scholarship CoLab Projects
HKUST Library - Digital Scholarship, 2025, "Temperature Heatmap on Library Floor Plan", https://doi.org/10.14711/dataset/5PTBJV, DataSpace@HKUST, V1
It is often reported that the library is overly cold. It is necessary to have a complete understanding of the temperature distribution in various library sections. The library also listens to feedback from LibQUAL+, a library services quality survey. A heatmap will be useful in p... |
May 27, 2025
Codes from the HKUST Library's Digital Scholarship CoLab projects https://library.hkust.edu.hk/ds/ds-colab/ |
Apr 29, 2025 - Ambient Measurements and Improved Statistical Proxies for Gaseous Sulfuric Acid in Coastal Hong Kong
CHEN, Yi, 2025, "Ambient Measurements and Improved Statistical Proxies for Gaseous Sulfuric Acid in Coastal Hong Kong", https://doi.org/10.14711/dataset/KECGV2, DataSpace@HKUST, V1, UNF:6:o3ANOzamePIdleOAnr4+FQ== [fileUNF]
This dataset includes the experimental results of "Ambient Measurements and Improved Statistical Proxies for Gaseous Sulfuric Acid in Coastal Hong Kong" |
Apr 29, 2025
This project includes the experimental results of "Ambient Measurements and Improved Statistical Proxies for Gaseous Sulfuric Acid in Coastal Hong Kong" |
Apr 22, 2025 - Cloud Computing Electricity Consumption Emissions (Netherlands, Germany, Ireland)
VARELA SOARES, Ian, 2025, "Replication and Supplementary Data", https://doi.org/10.14711/dataset/E9XW4V, DataSpace@HKUST, V1, UNF:6:ZV1kATJiYmpRoG7W0FMAHA== [fileUNF]
Dataset about historical electricity consumption and corresponding emissions of data centers, telecommunication networks, and cloud computing services between 2017-2022 for Germany, Ireland and the Netherlands. The dataset provides a range of reference data, such as: total data v... |
Apr 22, 2025
Supplementary file providing historical data about cloud computing emissions (electricity consumption) for three countries: Netherlands, Germany and Ireland between 2017 and 2022. This dataset serves as supplementary material for the HKUST PhD thesis: Varela Soares, I. (2025) 'Mu... |
