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Johns Hopkins APL, Amazon Partner to Accelerate Access to High-Res Brain Mapping Data
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Next-generation database will democratize access to massive amounts of turbulence data
The project will provide access to and the manageable download of more than 2.5 million gigabytes of data for modeling turbulent flows
Credit: Getty Images April 30, 2021
Led by Johns Hopkins University, a team of 10 researchers from three institutions is using a new $4 million, five-year grant from the National Science Foundation to create a next-generation turbulence database that will enable groundbreaking research in engineering and the atmospheric and ocean sciences.
This powerful tool will let researchers from all over the world access data from some of the largest world-class numerical simulations of turbulent flows. Such simulations are very costly and their outputs are traditionally very difficult to share among researchers due to the data sets massive size.