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SciServer: Big Data infrastructure for science

numerically simulated three-dimensional and isotropic fluid turbulence.

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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illustration showing sea surface salinity data off the East Greenland Shelf

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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screenshot of the SciServer website

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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