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Published December 16, 2024 | Version v2

Machine Learning for predicting chaotic systems – Data

Description

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.

Files

DeebDbDystsNoisefreeTest.zip

Files (26.9 GB)

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