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1D layered structures of the accretionary prism beneath the DONET stations

<p><strong>Description</strong></p> <p>We converted the smooth depth-varying velocity structure model of&nbsp;<a href="https://doi.org/10.1038/s41467-017-02276-8">Tonegawa&nbsp;<em>et al.</em>&nbsp;(2017)</a>&nbsp;to a 5-layer model beneath each DONET station. The physical parameters of each layer are listed in the vmodel.csv.</p> <p>The thicknesses of each layer were determined by fitting the depth-averaged&nbsp;<em>S</em>-wave velocities derived by&nbsp;<a href="https://doi.org/10.1038/s41467-017-02276-8">Tonegawa&nbsp;<em>et al.</em>&nbsp;(2017)</a>. For example, if the depth-averaged&nbsp;<em>VS</em>&nbsp;of&nbsp;<a href="https://doi.org/10.1038/s41467-017-02276-8">Tonegawa&nbsp;<em>et al.</em>&nbsp;(2017)</a>&nbsp;become the&nbsp;<em>VS</em>&nbsp;of layer 1 at a certain depth, this depth is considered as the bottom of layer 1. In DONET_layeredData.csv, the estimated bottom depths of each layer are listed.&nbsp;</p> <p>&nbsp;</p> <p><strong>For seismic wave propagation simulation</strong></p> <p>For simulations of seismic wave propagation along the Nankai Trough, the 3D model used in the simulations was basically constructed from the&nbsp;<a href="https://www.jishin.go.jp/evaluation/seismic_hazard_map/lpshm/12_choshuki_dat/">Japan Integrated Velocity Structure Model</a>&nbsp;(JIVSM) (<a href="https://www.iitk.ac.in/nicee/wcee/article/WCEE2012_1773.pdf">Koketsu et al., 2012</a>). The JIVSM onshore and outer-rise sedimentary structures and structures beneath bedrock were fixed. To construct 3D model of the accretionary prism from layered S wave velocity models in &quot;DONET_layeredData.csv,&quot; each station&#39;s bottom depths were interpolated and extrapolated via the &lsquo;<em>Surface</em>&rsquo; gridding algorithm in Generic Mapping Tools software (GMT; Wessel&nbsp;<em>et al.</em>&nbsp;2013). Interpolation and extrapolation were only applied within the region of the accretionary prism (Figure S1 of&nbsp;<a href="https://doi.org/10.1093/gji/ggaa404%20">Takemura, Yabe &amp; Emoto 2020</a>). By using interpolated and extrapolated data of layer bottom depths and physical parameters (vmodel.csv), we can obtain 3D model of the accretionary prism along the Nankai Trough.&nbsp;</p> <p>We confirmed very similar simulation results between smooth depth-varying and layered accretionary prism models.&nbsp;</p> <p>&nbsp;</p> <p>Smooth depth varying model case</p> <ul> <li><a href="https://doi.org/10.1007/s00024-018-2013-8">Takemura, Kubo et al., 2019</a>&nbsp;</li> <li><a href="https://doi.org/10.1029/2019GL082448">Takemura, Matsuzawa et al., 2019</a></li> </ul> <p>Layered model case</p> <ul> <li>Figures S3, S4 of&nbsp;<a href="https://doi.org/10.1093/gji/ggaa404%20">Takemura, Yabe &amp; Emoto 2020</a></li> </ul> <p>&nbsp;</p> <p>Related papers</p> <p>For citing general information of this dataset, please include this data DOI and the following references</p> <ul> <li>Tonegawa, T., Araki, E., Kimura, T.&nbsp;<em>et al.&nbsp;</em>(2017). Sporadic low-velocity volumes spatially correlate with shallow very low frequency earthquake clusters.&nbsp;<em>Nat Commun</em>&nbsp;<strong>8,&nbsp;</strong>2048&nbsp;<a href="https://doi.org/10.1038/s41467-017-02276-8">https://doi.org/10.1038/s41467-017-02276-8</a></li> <li>Takemura, S., Yabe, S., &amp; Emoto (2020), K. Modelling high-frequency seismograms at ocean bottom seismometers: effects of heterogeneous structures on source parameter estimation for small offshore earthquakes and shallow low-frequency tremors, Geophys. J. Int., 223 (3), 1708-1723,&nbsp;<a href="https://doi.org/10.1093/gji/ggaa404">https://doi.org/10.1093/gji/ggaa404</a>&nbsp;</li> </ul>

ShareScore

40/100

Overall dataset sharing score

Score breakdown

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

Stewardship
8
Harmonization
4
Access
20
Reuse readiness
8
Engagement
0

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