Lorenz System Dataset with Multi Rho and Gaussian Noise

Lorenz system time series, with gaussian noise added at each integration step, with multiple rho parameter values, details as follows: - 2 CSV files with similar structure but random initial conditions, can be utilized for Training and Testing Machine Learning approaches. - File names: Training_Lorenz_Multi_Rho.csv and Testing_Lorenz_Multi_Rho.csv - Generated using RK ODE45 solver in MATLAB. - dt: 0.05. - time span: [0, 500]. - parameters: rho in range [5, 225] with a step of 1, sigma 10, and beta 8/3. - simulations: 10 per each rho value. - initial conditions: random in [0,1] for each individual simulation for the 3 variables (x,y,z). - Noise: Gaussian Noise N(0,1) at each time step, different for each variable. File structure: Columns (all numeric): # |0: Simulation | 1: Sub-Sim (same as simulation) | 2: Time | 3: X | 4: Y | 5: Z | 6: RHO |