Data for: Machine-Learning Based Error Prediction Approach for Coarse-Grid Computational Fluid Dynamics (CG-CFD)
Lid-driven cavity flow variables distribution in a cubic domain. Reynolds numbers range from 6000 :12000. Various grids and aspect ratios. These data are the inputs and the outputs for a regression model that predicts the local grid-induced error given the coarse-grid local fluid flow features.