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Aug 6, 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, V3, UNF:6:sqa3PMckjyftBg7X8/jpLA== [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 - 578 B - 22 Variables, 4 Observations - UNF:6:CjktPQvpB7eS/7zWB65xrQ==
bottom water oxygen and methane and sediment fluxes of dissolved oxygen, soluble reactive phosphate, and dissolved Fe2+.
Tabular Data - 28.5 KB - 23 Variables, 197 Observations - UNF:6:QMndrsU4BBP1o/VPeCHRgA==
sediment profiles of oxygen and carbon, phosphorus, iron, and sulfur species
Adobe PDF - 327.7 KB - MD5: 11322e73fb363f547edbb57ad80bad32
Metadata form
Jul 16, 2025 - Lee-Campbell Research Group
Campbell, Cameron Dougall; Chen, Bijia; Ren, Yuxue; Lee, James, 2019, "China Government Employee Database-Qing (CGED-Q) Jinshenlu Public Release", https://doi.org/10.14711/dataset/E9GKRS, DataSpace@HKUST, V22, UNF:6:dOARWx3C+vLV4EIUDXgA9g== [fileUNF]
The China Government Employee Database – Qing Jinshenlu (CGED-Q JSL) is a database constructed by the Lee-Campbell Group from records of officials in the jinshenlu that was prepared every three months during the Qing by the Department of Selection (文選司) under the Ministry of Pers...
Adobe PDF - 2.0 MB - MD5: 56c5628a87158b1e949f624123b83800
PDF of Powerpoint slides explaining how to use R to analyze CGED-Q JSL
Adobe PDF - 538.5 KB - MD5: 1feb918a8c305ec1c4e58928887a1ed6
PDF of Powerpoint slides explaining how to use R to analyze CGED-Q JSL
Adobe PDF - 2.1 MB - MD5: 92c7fc366cc821d149d56a406f1a1271
PDF of Powerpoint slides explaining how to use R to analyze CGED-Q JSL
Adobe PDF - 1.0 MB - MD5: 23db1878d091706ee16939f1608b0bb5
PDF of Powerpoint slides explaining how to use R to analyze CGED-Q JSL
Adobe PDF - 826.4 KB - MD5: 7d3862936a0c04bada87e961ff6b95cd
PDF of Powerpoint slides explaining how to use R to analyze CGED-Q JSL
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