Published September 24, 2021
| Version v1
Dataset
Open
Deep learning for early warning signals of tipping points : supplementary data
Description
This data accompanies the publication by Bury et al. “Deep learning for early warning signals of tipping points” published in PNAS and the Github repository https://github.com/ThomasMBury/deep-early-warnings-pnas. It contains the model time series data that are used to train the deep learning algorithm. The directory ts_500 contains 500k time series used to train the 500-classifier. The directory ts_1500 contains 200k time series used to train the 1500-classifier. Both directories contain files labels.csv and groups.csv which provide numbers corresponding to the labels (Fold, Hopf, Branch, Null) and groups (Training, Validation, Test) for each time series respectively.
Files
ts_1500.zip
Files
(11.3 GB)
Name | Size | Download all |
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md5:9c036d82e7033f99540d22e4d6297d7b
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5.4 GB | Preview Download |
md5:0ab4fb8493eb6d9965afd555aac83a51
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5.9 GB | Preview Download |