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D-SET: Probing the evolution of fault properties during the seismic cycle with Deep Learning

<p>This dataset has been developed to analyze fault zone properties affected by the Norcia mainshock on October 30, 2016. It comprises waveform data from nine seismic stations surrounding the rupture site of the Vettore fault segment. Waveforms were selectively gathered from within a 3 km band perpendicular to the fault, exclusively including seismic events deeper than 2 km to minimize anthropogenic sources and surface-based seismic noise. The dataset is balanced to diminish the influence of Amatrice aftershocks, extending asymmetrically 15 km northeast and 4 km southwest of the Norcia epicenter, and only includes events with magnitudes greater than Mw 0.5 to ensure data quality.</p>

ShareScore

28/100

Overall dataset sharing score

Score breakdown

These five areas show where the dataset supports — or may limit — practical reuse.

Stewardship
4
Harmonization
4
Access
16
Reuse readiness
0
Engagement
4