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Practice of cross-regional marine data cooperation: A case study of China-EU Marine Data Network Partnership(CEMDnet)
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Science & Technology Review | 2023, 41(15) : 106 - 112
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Science & Technology Review | 2023, 41(15): 106-112
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Practice of cross-regional marine data cooperation: A case study of China-EU Marine Data Network Partnership(CEMDnet)
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SUN Miao, WAN Fangfang, HAN Luyao, ZHANG Tiecheng, HUANG Haiyan, LI Wenshan, REN Xingyuan*
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    National Marine Data and Information Service, Tianjin 300171, China
Published: 2023-08-13 doi: 10.3981/j.issn.1000-7857.2023.15.011
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The cross-regional marine data cooperation has presently exhibited a certain foundation, however, due to the historical background, scientific and technical level, and safety factors, there are still some gaps in achieving "an accessible ocean"——a goal of the United Nations Decade of Ocean Science for Sustainable Development (2021-2030). By summarzing the development partnership and participation in global governance between China and the EU, this paper introduces the background of the emergence of CEMDnet and analyzes the status of cross-regional marine data cooperation. On this basis it proposes a replicable and extensible cross-regional data cooperation model and explains its effectiveness. Suggestions for future cross-regional marine data cooperation are put forward as well.
China-EU Marine Data Network Partnership  /  cross-regional  /  data sharing  /  international cooperation
SUN Miao, WAN Fangfang, HAN Luyao, ZHANG Tiecheng, HUANG Haiyan, LI Wenshan, REN Xingyuan. Practice of cross-regional marine data cooperation: A case study of China-EU Marine Data Network Partnership(CEMDnet)[J]. Science & Technology Review, 2023 , 41 (15) : 106 -112 . DOI: 10.3981/j.issn.1000-7857.2023.15.011
Year 2023 volume 41 Issue 15
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doi: 10.3981/j.issn.1000-7857.2023.15.011
  • Receive Date:2022-09-23
  • Online Date:2023-08-30
  • Published:2023-08-13
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  • Received:2022-09-23
  • Revised:2023-01-28
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表12种不同金属材料的力学参数

Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)

Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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