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Often the data products from a RI, derived from lower level/raw data, are pre-cooked. That means they are produced by applying some default processing algorithms and parameters, like spatial and temporal resolution, the use of model parameters, model and process selections. This demonstrator is an implementation results of IC_3 use case that describes a model that enables scientific researchers to re-process data by defining other selections of these inputs from other sources.
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Access to a VRE for user-driven data analysis is a common request not only in the environmental sciences community. The implementations from this use cases can be easily extended to support other domain applications’ needs, for example, it would benefit space and solar-terrestrial physics, solar system physics (meteors and asteroids), and astronomy. The pilot experiences can be easily shared with the whole EISCAT community, which covers member countries including, Finland, France, Norway, Sweden, USA and UK, and its global collaborations reach China, Japan, Korea.
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Youtube video is at: https://
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The service prototype can be accessed at: https://services.d4science.org/group/rprototypinglab/data-miner .
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