Mohammadigheymasi Hamzeh, Tavakolizadeh Nasrin, Matias Luís, Mousavi S Mostafa, Moradichaloshtori Yahya, Mousavirad Seyed Jalaleddin, Fernandes Rui
Instituto Dom Luiz (IDL), Universidade da Beira Interior, Covilha, 6201-001, Portugal.
Departamento de Informatica, Universidade da Beira Interior, Covilha, 6201-001, Portugal.
Data Brief. 2023 Feb 11;47:108969. doi: 10.1016/j.dib.2023.108969. eCollection 2023 Apr.
The Ghana Digital Seismic Network (GHDSN) data, with six broadband sensors, operating in southern Ghana for two years (2012-2014). The recorded dataset is processed for simultaneous event detection and phase picking by a Deep Learning (DL) model, the EQTransformer tool. Here, the detected earthquakes consisting of supporting data, waveforms (including P and S arrival phases), and earthquake bulletin are presented. The bulletin includes the 559 arrival times (292 P and 267 S phases) and waveforms of the 73 local earthquakes in SEISAN format. The supporting data encompasses the preliminary crustal velocity models obtained from the joint inversion analysis of the detected hypocentral parameters. These parameters comprised of a 6- layer model of the crustal velocity (Vp and Vp/Vs ratio), incident time sequence, and statistical analysis of the detected earthquakes and hypocentral parameters analyzed and relocated by the updated crustal velocity and graphic representation of them a 3D live figure enlighting the seismogenic depth of the region. This dataset has a unique appeal for earth science specialists to analyze and reprocess the detected waveforms and characterize the seismogenic sources and active faults in Ghana. The metadata and waveforms have been deposited at the Mendeley Data repository [1].
加纳数字地震台网（GHDSN）的数据，由六个宽带传感器组成，在加纳南部运行了两年（2012 - 2014年）。记录的数据集通过深度学习（DL）模型EQTransformer工具进行处理，以实现同步事件检测和震相拾取。在此，展示了检测到的地震，包括支持数据、波形（包括P波和S波到达震相）以及地震公报。该公报以SEISAN格式包含了559个到达时间（292个P波和267个S波震相）以及73次本地地震的波形。支持数据包括从检测到的震源参数联合反演分析中获得的初步地壳速度模型。这些参数包括一个6层地壳速度模型（Vp和Vp/Vs比值）、入射时间序列，以及对检测到的地震和震源参数的统计分析，这些参数通过更新后的地壳速度进行了分析和重新定位，并以三维实时图形表示该区域的发震深度。该数据集对地球科学专家具有独特的吸引力，可用于分析和重新处理检测到的波形，并表征加纳的发震源和活动断层。元数据和波形已存于Mendeley数据存储库[1]。
