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There are large scientific data archives manage and store huge quantities of data, deal with this data throughout its life cycle, and focus on particular scientific domains. These scientific data is usually generated by specific devices or sensors. While the number of sensed data file is daily increased, utilizing an efficient to access daily-incremental data set is increasing important. In this paper, we propose a DHT-based (Distributed Hash Table) data extraction scheme to speedup data extraction for geographical ocean data. We conduct some experiments to evaluate the performance of the proposed approach and make a comparison with traditional approach and existing system. It shows that the proposed approach is better in terms of performance.