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SciServer: Big Data infrastructure for science
Tangle of vortices in a snapshot of numerically simulated three-dimensional and isotropic fluid turbulence.
Credit: Visualization by Kai Buerger (TU Munchen) based on data from the Johns Hopkins Turbulence Databases.
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Remote sensing data are important in many branches of science, such as physical oceanography, meteorology, and climatology. This illustration shows such data: sea surface salinity off the East Greenland Shelf (from a paper by Magaldi and Haine, in press).
Credit: M.G. Magaldi, T.W.N. Haine, Hydrostatic and nonhydrostatic simulations of dense waters cascading off a shelf: the East Greenland case, Deep-Sea Research I, http://dx.doi.org/10.1016/j.dsr.2014.10.008
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SciServer provides a collection of web-based tools and services that makes it easy to find and share knowledge in scientific databases.
Credit: Johns Hopkins University
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