FAIRsharing record for: Johns Hopkins Turbulence Database
Abstract
This FAIRsharing record describes: The JHTDB is an open-access numerical turbulence laboratory that enables researchers to query and download multi-terabyte datasets of turbulent flows. It supports web-service interfaces and programming languages like Python, Matlab, Fortran and C, allowing scientists to perform advanced analyses such as velocity, pressure and gradient computations at arbitrary points in space and time. The datasets include direct numerical simulations (DNS) and large eddy simulations (LES) of various turbulence regimes, enabling experimentation across wide physical scales and flow configurations.
Fields of Study & Subjects
Fluid Dynamics and Turbulent Flows
Research Data Management Practices
Scientific Computing and Data Management
Publication details
- Journal / source
- FAIRsharing.org
- Publication date
- 6 February 2026
- Document type
- Dataset