Training and test dataset for Receiver functions for quality classification and inversion
<p> </p> <p>traindata_inv.dat file contains the 60,000 1D crust layered-model and synthetic receiver functions, as well as surface wave dispersion. </p> <p> </p> <p>First row: the name of synthetic models, </p> <p>Second row: Receiver functions with 300 sample points (-5~25 s)</p> <p>Third row: Surface wave dispersion data with 16 sample points (4~32 s with 2 s interval)</p> <p>Fourth row: Shear wave velocities of 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> </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