inaf-oact-ai/solar-flare-goes-dataset

该数据集用于训练和测试太阳耀斑预测模型。它包含了两种变量的GOES XRS时间序列（每分钟一次采样）：L2通量/背景比值和耀斑二元历史（0=无耀斑，1=耀斑）。数据集分为不同的时间长度（24小时和12小时），并以JSON格式存储。This dataset is used for training and testing solar flare forecasting models. It contains GOES XRS time series (1 min-cadence) for two variables: L2 flux/bkg ratio and flare binary history (0=no flare, 1=flare). The dataset is split into different time lengths (24h and 12h) and stored in JSON format.