Time series of chaotic systems

<div> <div>&nbsp;</div> </div> <div> <p>Long time series of chaotic systems, all three-dimensional. Can be used in short- and long-term forecasting, reconstruction, etc.</p> <p>Codes in GitHub: https://github.com/Zheng-Meng/Dynamics-Reconstruction-ML.</p> <p>We used the dataset in dynamics reconstruction from sparse observations with no training on target systems:</p> <p>Zhai, Zheng-Meng, Jun-Yin Huang, Benjamin D. Stern, and Ying-Cheng Lai. "Reconstructing dynamics from sparse observations with no training on target system." <em>arXiv preprint arXiv:2410.21222</em> (2024).</p> <p>In addition, two folders with additional data, data_response, which is generated by dysts (https://github.com/williamgilpin/dysts) and data_nonautonomous, are provided for further evaluation of the dynamics reconstruction framework.</p> <p>&nbsp;</p> </div>