Earthquake Waveforms Organized by Seismic Events

A dataset of earthquake waveforms organized by earthquake events and stored in HDF5 format. The dataset was created by AI4EPS and was last updated in March 2026.

Use Cases

• Analyze seismic waveforms to characterize earthquake source mechanisms.
• Train machine learning models on waveform data for earthquake detection and classification.
• Study the propagation of seismic waves across different event types.

Strengths

• Data is organized by distinct earthquake events, facilitating event-based analysis.
• Waveform data is stored in the structured HDF5 format, which is efficient for large scientific datasets.
• The dataset was updated in March 2026, indicating recent maintenance.

Limitations

• The total number of events and waveforms is unknown, making it difficult to assess scale.
• Specific geographic coverage and time range of the recorded events are not provided.
• The absence of documented column or feature names limits understanding of the data structure.

Provenance

Source

AI4EPS

Collection Method

null

Time Range

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Freshness

Last updated 2026-03-01.

Geography

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