--- tags: - other - seismic --- Part of MONSTER: . ***LenDB*** consists of seismograms recorded from multiple different seismic detection networks from across the globe [1, 2]. The processed dataset consists of 1,244,942 multivariate time series, with 3 channels, each of length 540, with two classes: earthquake and noise. This version of the dataset has been split into cross-validation folds based on seismic detection network (i.e., such that seismograms for a given network do not appear in both a training and validation fold). [1] Fabrizio Magrini, Dario Jozinovic, Fabio Cammarano, Alberto Michelini, and Lapo Boschi. (2020). Local earthquakes detection: A benchmark dataset of 3-component seismograms built on a global scale. *Artificial Intelligence in Geosciences*, 1:1–10. [2] Fabrizio Magrini, Dario Jozinovic, Fabio Cammarano, Alberto Michelini, and Lapo Boschi. (2020). LEN-DB Local earthquakes detection: A benchmark dataset of 3-component seismograms built on a global scale. . CC BY 4.0.