e-Callisto Solar Flare Detection Dataset

Institute of Data Science i4Ds, FHNW
Compiled by Gabriel Torres Gamez | StellarMilk

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.