Published March 11, 2025
| Version v3
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
(27.0 GB)
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md5:82f7584fbfd20b728cc527239a6988b7
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md5:487c2812ab264d9bb12f2742fadbc7e4
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md5:8a1334f27caa51228c0dad32cf133d9b
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md5:d7cc2714883deccb5e9a42ef55b42e87
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md5:d487fecca467d224d08dc45e48168edd
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3.8 GB | Preview Download |
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md5:b5ada4702c9180d4c00144033065bbe0
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6.8 GB | Preview Download |
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md5:c47153bf6f652e7eb0443bdd42b59e42
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2.8 GB | Preview Download |
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md5:452a33681e59218fcb7ee97a5f3828c8
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9.8 GB | Preview Download |
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md5:4d9ab92ea61cbde569f8ab3499ae0d48
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2.0 kB | Preview Download |