遇见数据集

Time series of chaotic systems

收藏
Zenodo2025-04-17 更新2026-05-26 收录
官方服务:

资源简介:

Long time series of chaotic systems, all three-dimensional. Can be used in short- and long-term forecasting, reconstruction, etc. Codes in GitHub: https://github.com/Zheng-Meng/Dynamics-Reconstruction-ML. We used the dataset in dynamics reconstruction from sparse observations with no training on target systems: Zhai, Zheng-Meng, Jun-Yin Huang, Benjamin D. Stern, and Ying-Cheng Lai. "Reconstructing dynamics from sparse observations with no training on target system." arXiv preprint arXiv:2410.21222 (2024). 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.

提供机构:
Zenodo
创建时间:
2025-04-17
二维码
社区交流群
二维码
科研交流群
商业服务