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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.
Tabular Data - 446 B - 16 Variables, 4 Observations - UNF:6:fJWl8LtwYoW6llwnAlfjPQ==
bottom water oxygen and methane and sediment fluxes of dissolved oxygen, soluble reactive phosphate, and dissolved Fe2+.
Tabular Data - 27.6 KB - 22 Variables, 197 Observations - UNF:6:/eRAWp+OAEGq8fOcAR83YQ==
sediment profiles of oxygen and carbon, phosphorus, iron, and sulfur species
Adobe PDF - 333.1 KB - MD5: e838ae9b8b6fc8459814dc6bbf56ee5f
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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...
ZIP Archive - 2.1 MB - MD5: 08d9b59ec5ab42c6a7e1922018fdfe0d
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...
ZIP Archive - 81.0 MB - MD5: fecc63f4a8d31d629f52e2584fa6099c
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...
ZIP Archive - 37.4 MB - MD5: 5315b2babd306f107f39c558742abb8c
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