Neural-Parareal dataset JOREK blob runs with electrostatic model batch_0501-1000

Please refer to journal paper from S.J.P.Pamela, titled

"Neural-Parareal: Self-improving acceleration of fusion MHD simulations using time-parallelisation and neural operators"

Available on ArXiV and on Comp.Phys.Comm.: https://doi.org/10.1016/j.cpc.2024.109391

Data produced by the JOREK code, https://jorek.eu

All runs created using the electrostatic model, model-ID "model003"

Data downsampled by saving every 10th timestep, on a regular 2D grid of 100x100.

To reproduce full runs, use corresponding input files.

Note: variables names are the same as in the JOREK code:

u = electric potential

omega = toroidal vorticity

rho = density

T = temperature

The create_gif.py can be used to convert data into movies.