%0 Generic %A Nijholt, Nicolai %A Simons, Wim %A Riva, Riccardo %A Efendi, Joni %A Sarsito, Dina %A Broerse, Taco %D 2024 %T Supporting dataset for the article: Triggered and recurrent slow slip in North Sulawesi, Indonesia %U https://data.4tu.nl/articles/dataset/_/21310383 %R 10.4121/21310383.v1 %K SE Asia %K Sulawesi %K Indonesia %K Subduction (geophysics) %K Slow Slip Event %K Transient Surface Motion %K GNSS %K Time Series %X <p> </p><p><strong>Abstract</strong></p><p>Nearby faults interact with each other through the exchange of stress. However, the extent of fault interaction is poorly understood. In particular, interactions may lead to slow-slip activity, resulting in episodes of transient surface motion. Our study concentrates on Northwest Sulawesi (Indonesia), which hosts two fault zones with potential for major earthquakes and tsunamis: the strike-slip Palu-Koro fault and the Minahassa subduction zone. Thanks to a 20-year-long effort in geodetic monitoring, we are able to identify multiple periods during which surface velocities deviate from their interseismic trend. We use a Bayesian methodology with forward predictions of slip on the two fault interfaces to match the observations following the 2018 Palu earthquake, and infer that both deep afterslip on the Palu-Koro fault and slow slip on the Minahassa subduction interface have caused the observed transient surface motion. This finding represents the first recording of a slow slip event on the Minahassa subduction interface. We also infer that the subduction interface and the strike-slip fault are likely interacting on a regular basis.</p><p><br></p><p><strong>Data</strong></p><p><em>Least squares parameterization of GPS data</em><strong> </strong>contains the station positions, jumps, transients and velocities shown in figure 2A and S1-13 in .txt format.</p><p><em>RINEX GPS data </em>contains RINEX files of the campaign stations after the 2018 Palu earthquake</p><p><em>Model data</em> contains model output files used to create the figures 4,6,7, S12-17 in .txt format and two supporting images in .png format.</p> %I 4TU.ResearchData