"A BI-LSTM Attention Mechanism (Bi-LSTM-Attn) for Monitoring Seismic Events, Solving the issue of Interpretability"

"The ConvNetQuake INGV Dataset is a publicly available seismic dataset originally released with the ConvNetQuake framework developed for automatic seismic event detection and phase classification. The dataset contains continuous waveform recordings and manually labeled earthquake and noise segments collected from the Istituto Nazionale di Geofisica e Vulcanologia (INGV), Italy. It is designed for developing and benchmarking machine learning and deep learning models for seismic signal processing. The dataset is particularly valuable for exploring temporal signal modeling, feature extraction, and classification under class imbalance, as it contains a large number of low-magnitude seismic events interspersed with extensive noise segments."