Imaging Submarine Fault Zones Using Reflected S-waves Extracted by Ambient Noise Interferometry from Distributed Acoustic Sensing

Data DescriptionThis dataset supports the figures in the article "Extracting reflected S waves to reveal faults and marine sediments using autocorrelation of ambient noise recorded by distributed acoustic sensing." Folder Structure Figure 2 Reflection/This folder contains the zero-offset S-wave reflection responses. The data were processed using spectral whitening (0.2 Hz width), followed by a band-pass filter (0.7-2 Hz) and spatial mean removal. Figure 3 Data/ Figure 3a/: Data for the dispersion curve of channel 3600. Figure 3b/: Virtual Source Gathers (VSGs) generated from noise cross-correlation functions. Channels 3700, 5000, and 6000 were used as virtual sources (corresponding to the red pentagrams in the figure). The data were band-pass filtered from 1 to 2 Hz. Figure 3c/: Raw seismic signals recorded by the Distributed Acoustic Sensing (DAS) system. The earthquake catalogs are provided by the Guangdong Earthquake Agency. UsageThe data can be used to reproduce the figures in the associated paper.数据集说明 本数据集支撑论文《利用分布式声学传感（Distributed Acoustic Sensing, DAS）采集的环境噪声自相关提取反射S波以揭示断层与海洋沉积物》中的相关图表。 文件夹结构 Figure 2 Reflection/：该文件夹包含零偏移距S波反射响应数据。数据处理流程为：先采用0.2Hz带宽的谱白化（spectral whitening）处理，随后进行0.7~2Hz带通滤波，并去除空间均值。 Figure 3 Data/： Figure 3a/：第3600道的频散曲线数据。 Figure 3b/：由噪声互相关函数生成的虚拟源道集（Virtual Source Gathers, VSGs），选取第3700、5000、6000道作为虚拟源（对应图中红色五角星标记），数据经1~2Hz带通滤波处理。 Figure 3c/：分布式声学传感（Distributed Acoustic Sensing, DAS）系统采集的原始地震信号。 地震目录由广东省地震局提供。 使用说明 本数据集可用于复现关联论文中的相关图表。