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A composite seismic power spectral density (PSD) benchmark dataset supports the study 'From Virtual to Real: Generative Learning for Feature Signal Detection and Classification of Seismic Data.' It contains training, validation, and test subsets for 12 classes, including 1 background-noise and 11 anomaly classes. The dataset was created by XuChao Chai and last updated on 2026-04-28.
Data is packaged in a 7Z archive format, which requires compatible extraction software.