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e-Callisto Solar Flare Detection Dataset
Institute of Data Science i4Ds, FHNW
Overview
This dataset comprises radio spectra from the e-Callisto solar spectrometer network, annotated based on labels from the e-Callisto database. The data was downloaded using the ecallisto_ng Package. It's designed for training machine learning models to automatically detect and classify solar flares.
Data Collection
Data has been collected from various stations, with the following date ranges:
Station | Date Range |
---|---|
Australia-ASSA_01 | 2021-02-13 to 2021-12-11 |
Australia-ASSA_02 | 2021-02-13 to 2021-12-09 |
Australia-ASSA_62 | 2021-12-10 to 2023-12-12 |
Australia-ASSA_63 | 2021-12-10 to 2023-12-12 |
Data Augmentation
Due to the rarity of solar flares, we've augmented the dataset by padding the time series data around each flare event.
Caution
The dataset underwent preprocessing and certain assumptions were made for label cleanup. Be aware of potential inaccuracies in the labels.
Split Recommendations
The dataset doesn't include predefined train-validation-test splits. When creating splits, ensure augmented data does not overlap between training and validation/test sets to avoid data leakage.
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