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Authors describe the novel approach to boost the scientific data analysis performance with the data storing schema for distributed scientific research systems. This approach optimizes the workload on storage nodes and enhances the computation performance. Managing the enormous output of scientific research systems is expected to be the most technically difficult part of all recent projects producing Petabytes of imagery data. For example, NASA's EOSDIS produces several Petabytes of uncompressed data per year and w...