DNS Kolmogorov flow data for Re 90

The dataset contains a three dimensional (3-D) Direct Numerical Simulation (DNS) of a Kolmogorov flow with the unit Reynolds number defined as Re=1/nu and a sinusoidal forcing on streamwise axis and one wavenumber. It is an extended shear flow simulation from 2-D simulation into 3-D with periodic boundary on the side walls, input on the left and output on the right walls. It was generated in python using the spectral solver Dedalus. The data can be used to train machine learning algorithm such as an autoencoder for reduce-order modelling of turbulent flow. This is a subset of three increasing Reynolds numbers of Kolmogorov flow set to Re= 30, 50 and 90. You can find the other dataset on the Datashare.