Machine Learning for predicting chaotic systems – Data

The data used in our article "Machine Learning for Predicting Chaotic Systems" - https://arxiv.org/abs/2407.20158 DeebDbDysts*.zip contain the Dysts database, DeebDbLorenz*.zip the DeebLorenz database (with DeebDbLorenzBig*.zip being the "extension" dataset for Lorenz63std with different time series lengths). The observation and truth data of the Dysts database originates from https://github.com/williamgilpin/dysts (we converted the data format from json to csv). For DeebLorenz, we used the R package DEEBdata to create it.本文《用于混沌系统预测的机器学习》（Machine Learning for Predicting Chaotic Systems）一文所使用的数据集，相关论文链接为：https://arxiv.org/abs/2407.20158 压缩包DeebDbDysts*.zip内含Dysts数据库，DeebDbLorenz*.zip对应DeebLorenz数据库（其中DeebDbLorenzBig*.zip为针对Lorenz63std的扩展数据集，包含不同长度的时间序列） Dysts数据库的观测数据与真值数据源自https://github.com/williamgilpin/dysts，本研究将其数据格式从json转换为csv DeebLorenz数据库通过R语言包DEEBdata构建生成