IOCAS-IR

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Antibacterial polyketides and ascochlorins from deep-sea cold-seep-derived fungus Furcasterigmium furcatum (syn. Acremonium furcatum) 期刊论文
DEEP-SEA RESEARCH PART I-OCEANOGRAPHIC RESEARCH PAPERS, 2023, 卷号: 199, 页码: 7
作者:  Chen, Xiao-Dan;  Yang, Sui-Qun;  Li, Xiao-Ming;  Wang, Bin-Gui;  Li, Xin
收藏  |  浏览/下载:114/0  |  提交时间:2023/12/13
Cold seep  Furcasterigmium furcatum  Acremonium furcatum  Polyketides  Ascochlorins  Antibacterial activity  
Emestrin-type thiodiketopiperazines from Aspergillus nidulans SD-531, a fungus obtained from the deep-sea sediment of cold seep in the South China Sea 期刊论文
DEEP-SEA RESEARCH PART I-OCEANOGRAPHIC RESEARCH PAPERS, 2023, 卷号: 195, 页码: 7
作者:  Lv, Feng-Yi;  Mandi, Attila;  Li, Xiao-Ming;  Chi, Lu-Ping;  Li, Xin;  Wang, Bin-Gui;  Kurtan, Tibor;  Meng, Ling-Hong
收藏  |  浏览/下载:134/0  |  提交时间:2023/12/13
Aspergillus nidulans  Cold seep fungus  Emestrin-type thiodiketopiperazines  Antimicrobial activity  Cytotoxicity  
Estimation of nitrate concentration and its distribution in the northwestern Pacific Ocean by a deep neural network model 期刊论文
DEEP-SEA RESEARCH PART I-OCEANOGRAPHIC RESEARCH PAPERS, 2023, 卷号: 195, 页码: 11
作者:  Wang, Lixin;  Xu, Zhenhua;  Gong, Xiang;  Zhang, Peiwen;  Hao, Zhanjiu;  You, Jia;  Zhao, Xianzhi;  Guo, Xinyu
收藏  |  浏览/下载:87/0  |  提交时间:2023/12/13
Nitrate  Spatial distribution  Deep neural network  Northwestern pacific ocean  
The development and applications of a controllable lander for in-situ, long-term observation of deep sea chemosynthetic communities 期刊论文
DEEP-SEA RESEARCH PART I-OCEANOGRAPHIC RESEARCH PAPERS, 2023, 卷号: 193, 页码: 12
作者:  Du, Zengfeng;  Zhang, Xiong;  Lian, Chao;  Luan, Zhendong;  Xi, Shichuan;  Li, Lianfu;  Ma, Liang;  Zhang, Jianxing;  Zhou, Wenzao;  Chen, Xiufeng;  Lu, Zhijun;  Wang, Chuanbo;  Chen, Yu;  Yan, Jun;  Zhang, Xin
收藏  |  浏览/下载:146/0  |  提交时间:2023/12/13
Controllable long-term ocean observation plat-form  Cold seep in the south China Sea  Multi-parameter detection  Online real-time control mode  Offline stand-alone operation mode