Seismicity dataset of Ghana obtained by Deep Learning

This data repository presents waveforms, earthquake bulletin, and supporting data for a set of detected earthquakes on the Ghana Digital Seismic Network (GHDSN), consisting of 6 broadband sensors deployed in southern Ghana from 2012 to 2014. The earthquakes and their corresponding P and S arrival phases were detected using the EQTransformer tool, a Deep Learning model for simultaneous earthquake detection and phase picking. The data set comprises waveforms of 73 detected local earthquakes and a bulletin of 559 arrival times (292 P and 267 S phases) in SEISAN format. Additionally, some preliminary results of processing this earthquake data are presented: 1) An accurate, updated crustal velocity model for the region obtained by performing a joint inversion on the hypocentral parameters and Vp and Vp/Vs for a 6-layers model, 2) 3D live figures graphically representing the hypocentral parameters of the detected earthquakes and active zones in this period, 3) an occurrence time sequence for the detected events, and 4) some statistical information of the earthquakes detected. This dataset is essential as it provides researchers interested in further processing the waveform of the detected events to derive more detailed information about the mechanism of the seismogenic sources and active faults in the area.本数据集仓库收录了加纳数字地震台网（Ghana Digital Seismic Network, GHDSN）的相关地震数据：该台网于2012年至2014年间在加纳南部部署了6台宽频带地震传感器，本仓库收录了此期间检测到的一系列地震的波形数据、地震目录及配套辅助数据。本次检测到的地震及其对应的P波、S波初至震相，均通过EQTransformer工具完成识别——该工具是一款可同时实现地震检测与震相拾取的深度学习模型。本数据集包含73次检测到的地方地震的波形数据，以及一份采用SEISAN格式编制的地震目录，共收录559条初至震相到时数据（其中P波震相292条、S波震相267条）。此外，本数据集还附带了本次地震数据处理的部分初步成果：1）通过对6层地壳模型的震源参数、纵波速度（Vp）及Vp/Vs比值开展联合反演，得到了该区域精准更新后的地壳速度模型；2）可直观展示本次检测地震震源参数及研究时段内活动构造带分布的三维动态可视化图表；3）本次检测地震的发震时间序列；4）本次检测地震的相关统计信息。本数据集具有重要科研价值，可为致力于进一步处理检测地震波形、以获取该区域孕震源机制及活动断裂带更详细信息的研究人员提供关键支撑。