遇见数据集

This repository contains data and code used in the seismic and petrological analysis described in our study.

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Figshare2025-04-08 更新2026-04-28 收录
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READMEThis repository contains data and code used in the seismic and petrological analysis described in our study.1. Receiver Function (RF) WaveformsRaw receiver functions (RFs) were obtained using Gaussian low-pass filters with different width parameters (a). The filtered RFs are organized in the following directories:• ./RFwaveforms/Deconv-1.0 – RFs with Gaussian filter parameter a = 1.0• ./RFwaveforms/Deconv-2.0 – RFs with Gaussian filter parameter a = 2.0• ./RFwaveforms/Deconv-3.0 – RFs with Gaussian filter parameter a = 3.0• ./RFwaveforms/Sta.info – Station location information2. Trans-Dimensional Bayesian Joint Inversion CodeThe joint inversion was performed using a trans-dimensional Markov Chain Monte Carlo (McMC) Bayesian framework.Code is provided in: ./McMC-jointinvPlease check the Makefile for installing.3. Obtained Velocity ModelsFinal Vs and Vp/Vs models obtained from the joint inversion are stored in: ./VelocityModels/${STA}/${STA}-${backazimuth}Each folder corresponds to a specific station and back-azimuth combination.4. Petrological ModelingPetrological modeling was conducted using a modified version of the ElasticC code, originally available at: https://github.com/michpaulatto/ElasticC.The code has been modified to support three-phase modeling (solid + melt + fluid).

本仓库包含本研究中地震学与岩石学分析所用的数据与代码。 1. 接收函数(Receiver Function, RF)波形 原始接收函数(RF)通过配置不同宽度参数(a)的高斯低通滤波器获取。滤波后的RF按如下目录结构组织: • ./RFwaveforms/Deconv-1.0:高斯滤波参数a=1.0的接收函数 • ./RFwaveforms/Deconv-2.0:高斯滤波参数a=2.0的接收函数 • ./RFwaveforms/Deconv-3.0:高斯滤波参数a=3.0的接收函数 • ./RFwaveforms/Sta.info:台站位置信息 2. 跨维贝叶斯联合反演代码 本次联合反演采用跨维马尔可夫链蒙特卡洛(Trans-dimensional Markov Chain Monte Carlo, McMC)贝叶斯框架实现。相关代码存放于./McMC-jointinv目录,请查阅该目录下的Makefile完成安装。 3. 反演得到的速度模型 联合反演得到的最终横波速度(Vs)与纵波与横波速度比(Vp/Vs)模型存储于./VelocityModels/${STA}/${STA}-${backazimuth}路径下,每个文件夹对应一组特定的台站与反方位角组合。 4. 岩石学建模 岩石学建模采用修改版的ElasticC代码完成,该代码的原始版本可从https://github.com/michpaulatto/ElasticC获取。修改后的代码支持三相建模(固态+熔体+流体)。

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2025-04-08
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