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Training and test dataset for Receiver functions for quality classification and inversion

<p>&nbsp;</p> <p>traindata_inv.dat file contains the 60,000 1D crust layered-model and synthetic&nbsp;receiver functions, as well as surface wave dispersion.&nbsp;</p> <p>&nbsp;</p> <p>First row: the name of synthetic models,&nbsp;</p> <p>Second row:&nbsp;Receiver functions with 300&nbsp;sample points (-5~25 s)</p> <p>Third row: Surface wave dispersion data&nbsp;with 16 sample points (4~32 s with 2 s interval)</p> <p>Fourth row: Shear wave velocities of&nbsp;60-layer-model, and the thickness from the first layer to the last layer are</p> <pre>0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0, 2.0</pre> <p>&nbsp;&nbsp;</p>

ShareScore

12/100

Overall dataset sharing score

Score breakdown

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

Stewardship
4
Harmonization
8
Access
0
Reuse readiness
0
Engagement
0