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dc.contributor.authorWu, M.
dc.contributor.authorLin, Y.-P.
dc.contributor.authorRuiz-Fernandez, A.C.
dc.contributor.authorSahu, B.K.
dc.date.accessioned2023-04-12
dc.date.accessioned2023-07-17T15:32:48Z
dc.date.available2023-01-20
dc.date.available2023-07-17T15:32:48Z
dc.date.issued2023
dc.identifier.citationFrontiers in Marine Science, vol.9; 2023; Article no: 1126086
dc.identifier.issn2296-7745
dc.identifier.otherhttps://www.frontiersin.org/articles/10.3389/fmars.2022.1126086/full
dc.identifier.urihttps://doi.org/10.3389/FMARS.2022.1126086
dc.identifier.urihttp://drs.nio.res.in/drs/handle/2264/9036
dc.description5.247
dc.description.abstractThis is the editorial for the special issue on the topic- Coastal environmental and ecological data analysis. This issue is introduced to analyze the structure and functioning of diverse coastal ecosystems around global, addressing topics related with water quality, mangrove, coral reef and CO2 emissions. Experimental data for mining is important in the law and theory of the science. Outputs of these big database can improve the knowledge of us. In the 29 papers, the special issue provides a better understanding of the data monitoring, data analysis, and data integration. Thus, the knowledge of this special issue is by no means a closed chapter. In particular, we hope for significant insights from the novel big data, which can provide a high level of scientific, administrative and financial integration of coastal environmental and ecological sciences.
dc.languageen
dc.publisherFrontiers Media SA
dc.relation.isreferencedbySCI
dc.rightsOnly the author version of the copright reserved papers uploaded. Contact drs@nio.org for any complaints regarding copyright violations
dc.titleEditorial: Coastal environmental and ecological data analysis
dc.typeJournal Article
dc.affiliation.authorState Key Laboratory of Tropical Oceanography, South China Sea Institute of Oceanology, Chinese Academy of Sciences, Guangzhou, China


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