{"url":"/dataset/multi-station-trace-data-from-four-chilean","name":"Multi-Station Trace Data from four Chilean Volcanoes.","full_name":null,"description_markdown":"This dataset contains approximately 25,000 seismic events recorded by Observatorio Vulcanológico Andes Sur (OVDAS, SERNAGEOMIN) of four Chilean volcanoes: Nevados de Chillán Volcanic Complex (NVChVC), Villarrica (VCA), Laguna del Maule (LDM), and Puyehue-Cordón Caulle (CAU). Each event is stored as a NumPy array (.npy) of shape 14x8192. All arrays correspond to a 81.92-second (8192 samples @100Hz) window containing a single seismic event (or part of it, for longer events). \r\n\r\nThe first 8 rows of each array contain data from 1 to 8 seismic stations, with stations that didn't record data filled with zero-valued arrays. The remaining 6 rows represent the true labels of the event at each sample in time:\r\n\r\n    Row 9 (Class 0) represents the background class (1 for no event, 0 when an event is present).\r\n    Rows 10 to 14 represent the five seismic event classes:\r\n        Class 1: Volcano-Tectonic (VT) Events\r\n        Class 2: Long-Period (LP) Events\r\n        Class 3: Tremor (TR) Events\r\n        Class 4: Avalanche (AV) Events\r\n        Class 5: Ice Quake (IC) Events\r\n\r\nThe dataset is broken down as follows:\r\n\r\n    NVChVC: 3068 VT, 1892 LP, 2360 TR, 805 AV, and 977 IC events, recorded from January 2017 to December 2022.\r\n    VCA: 1516 VT events, recorded from September 2012 to June 2023.\r\n    LDM: 6663 VT events, recorded from April 2012 to July 2023.\r\n    CAU: 2298 VT, 2081 LP, and 2833 TR events, recorded from April 2010 to June 2017.\r\n\r\nAll seismic signals were recorded at 100 Hz. Preprocessing steps include applying a bandpass filter between 1 and 15 Hz and normalizing amplitude by dividing each signal channel by the single maximum amplitude across the 8 channels.\r\n\r\nThe data was curated and manually reclassified for the article \"A Framework for Real-Time Volcano-Seismic Event Recognition Based on Multi-Station Seismograms and Semantic Segmentation\" (currently under review), and can be explored through codes available at: https://github.com/camilo-espinosa/volcano-seismic-segmentation.\r\n\r\nThe seismic data used in this research were recorded by the Observatorio Vulcanológico de los Andes del Sur (OVDAS, https://rnvv.sernageomin.cl/observatorio-volcanologico-de-los-andes-del-sur/), part of the Servicio Nacional de Geología y Minería (SERNAGEOMIN, https://rnvv.sernageomin.cl/), Chile. Raw seismic signals for the Villarrica, Laguna del Maule, and Puyehue-Cordón Caulle volcanoes were obtained through a public information request process(https://www.consejotransparencia.cl/solicitud-informacionpublica/). The specific request codes are:\r\n\r\n    Laguna del Maule (2012-2023): AS004T0005608, AS004T0004571, AS004T0004553, AS004T0006050.\r\n    Puyehue-Cordón Caulle (2010-2017): AS004T0005484.\r\n    Villarrica (2010-2024): AS004T0004268, AS004T0005733, AS0004T0006292, AS004T0006637.\r\n\r\nData from Nevados del Chillán were provided through a cooperation agreement between Universidad de La Frontera and OVDAS.","description_withheld":null,"homepage":"https://zenodo.org/records/13901244","introduced_date":"2024-10-08","introduced_date_note":null,"introduced_by":{"paper":"/paper/a-framework-for-real-time-volcano-seismic","title":"A Framework for Real-Time Volcano-Seismic Event Recognition Based on Multi-Station Seismograms and Semantic Segmentation Models","first_author":"Camilo Espinosa-Curilem","url":null},"license":null,"modalities":[],"tasks":[],"languages":[],"variants":["Multi-Station Trace Data from four Chilean Volcanoes."],"data_loaders":[],"num_papers_in_archive":1,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[],"papers_with_a_benchmark_row":[],"syntology_totals":{"read_at":"2026-09-24T18:15:14+00:00","papers_with_samples":0,"samples_harvested":0,"samples_ran":0,"samples_unverified":0,"pointer_only_for_licence":0,"papers_with_no_sample_that_ran":0,"note":"the per-paper counts above, summed; not a rate"},"papers_note":"The archive never published its papers-using-dataset list; these are papers with a leaderboard row on this dataset's benchmarks."}