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|+ REAP is an NSF-funded cyberinfrastructure project designed to provide scientists with an analysis and modeling tool that can easily integrate distributed heterogeneous data streams for use in simulation and forecast models. This near real-time environment for analytical processing will provide an open-source, extensible and customizable framework for designing and executing scientific models that consume data streams from sensor networks. Project investigators will combine the real-time data grid being constructed through other projects (ROADNet, CENS ESS, OPeNDAP, EcoGrid) with the scientific workflow system Kepler. These open-source software frameworks represent considerable prior investments. Kepler will be extended to meet the needs of scientists that analyze and model observatory data, systems engineers that create and maintain observatory sensor networks, and the public that accesses data and results from observatories.|
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