Published December 16, 2024
| Version v2
Dataset
Open
Machine Learning for predicting chaotic systems – Data
Authors/Creators
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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md5:127e785a40bb6e65f1753391e0d64eb2
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md5:014c3d214d5c7a906f8327b670bcb25b
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md5:7fffb3a840d6c34b2b9d2ea37ef9f9a4
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md5:ef77d094d27110cc8ba5438eb1728ee1
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md5:1784450eed68ee153a4d45ed2ae8513b
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md5:c1f6cab35d47b6608a903eb50772d73b
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2.8 GB | Preview Download |
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md5:4201745e0f22864d259eeb1d2638225e
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9.8 GB | Preview Download |
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md5:cf03e1d9361f3bfebbe5e843a9cf1107
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1.7 kB | Preview Download |