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The dataset is structured following the format established by INSTANCE (Michelini et al., 2021) and is natively compatible with SeisBench (Woollam et al., 2022), enabling immediate use in machine-learning pipelines for ground-motion prediction, quality-control automation, and site-effect analysis.&#13;
Each record has been classified as good or bad quality based on manual review. Good-quality records include both converted-to-physical-units (CV) and manually-processed (MP) waveforms, along with response spectra. Bad-quality records include CV waveforms only. CV contains acceleration only; MP contains acceleration, velocity, and displacement waveforms together with acceleration and displacement response spectra.</schema:description>
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