Authorization Token for the Johns Hopkins Turbulence Databases
For requests of less than 4096 points, the following testing identifier can be used.
edu.jhu.pha.turbulence.testing-201406
For larger queries, users need to have an authorization token. Please send an e-mail to turbulence@lists.johnshopkins.edu including your name, email address, and institutional affiliation and department, together with a short description of your intended use of the database.
Database Access
Web browser pointwise
Directly obtain data using single-point virtual sensor method.
Matlab™ Local
Matlab™ code including demo to be executed on user's remote computer to access arrays of data using virtual sensor array method.
Python Local
Python code (jupyter notebook) including demo to be executed on user's remote computer to access arrays of data using virtual sensor array method.
Python Sciserver
Python code (jupyter notebook) including demo to be executed on user's Sciserver environment to access arrays of data using virtual sensor array method. Users must create a SciServer account to use this service.
C & Fortran Local
C and Fortran codes including DEMO to be compiled (Makefile) and executed on user’s remote computer to access arrays of data using virtual sensor array method.
Cutout Service
Submit requests for gridded raw data. The service generates output in HDF5 format and an XDMF file for (e.g.) visualization in Paraview. Users must create a SciServer account to use this service.
Spatial and Temporal Methods
Details about available spatial interpolation and differentiation methods and temporal interpolation methods.