Training and test dataset for Receiver functions for quality classification and inversion
收藏资源简介:
traindata_inv.dat file contains the 60,000 1D crust layered-model and synthetic receiver functions, as well as surface wave dispersion. First row: the name of synthetic models, Second row: Receiver functions with 300 sample points (-5~25 s) Third row: Surface wave dispersion data with 16 sample points (4~32 s with 2 s interval) Fourth row: Shear wave velocities of 60-layer-model, and the thickness from the first layer to the last layer are <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>
`traindata_inv.dat` 文件包含60000组一维地壳层状模型(1D crust layered-model)、合成接收函数(Receiver functions)以及面波频散数据(surface wave dispersion)。其各行列的信息如下: 第一行:合成模型的名称; 第二行:包含300个采样点的接收函数,采样时间范围为-5~25秒; 第三行:包含16个采样点的面波频散数据,周期范围为4~32秒,采样间隔为2秒; 第四行:60层模型的剪切波速度(Shear wave velocities),各层从第一层至最后一层的厚度依次为: <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>



