Ground motion Fourier and response spectra from Utah earthquakes, 2010--2020

Records from strong motion stations were downloaded from FDSN and CESMD data centers with a search radius of approximately 220 km from Salt Lake City. Waveforms were processed to deconvolve instrument response and for baseline corrections. Signal was separated from noise using an automated P-wave picker. The signal was then windowed to include the mean plus two standard deviations of the signal. After windowing, the signal-to-noise ratio (SNR) was calculated by transforming both signal and noise into the frequency domain to be smoothed using the Konno-Ohmachi method with the bandwidth parameter set to 189.0. Highpass and lowpass filters were applied by dynamically selecting corner frequencies where the passband SNR exceeded 3.0. Quality assurance tests were done to identify data that did not have SNR greater than 3.0 from 0.2Hz to 5.0Hz or did not meet the minimum sampling rate requirement of 20Hz. Pseudospectral Accelerations (SA) and Fourier Amplitude Spectra (FAS) were calculated for periods of 0.01s, 0.02s, 0.03s, 0.05s, 0.075s, 0.1s, 0.15s, 0.2s, 0.25s, 0.3s, 0.4s, 0.5s, 0.75s, 1.0s, 1.5s, 2.0s, 3.0s, 4.0s, 5.0s, 7.5s, and 10.0s.

本数据集的强震台站记录下载自FDSN与CESMD数据中心，下载时以盐湖城为中心设置了约220公里的搜索半径。对采集到的波形开展处理，完成仪器响应反卷积校正与基线校正。采用自动化P波拾取器将有效信号与噪声分离。随后对信号进行时窗截取，时窗范围涵盖信号均值加两倍标准差的区间。时窗截取完成后，将信号与噪声均转换至频域，采用带宽参数设为189.0的Konno-Ohmachi平滑方法进行平滑处理，进而计算信噪比（Signal-to-Noise Ratio, SNR）。通过动态选取通带信噪比大于3.0的截止频率，施加高通与低通滤波。开展质量控制测试，识别并剔除在0.2Hz至5.0Hz频段内信噪比未达3.0以上，或未满足20Hz最低采样率要求的数据。针对0.01秒、0.02秒、0.03秒、0.05秒、0.075秒、0.1秒、0.15秒、0.2秒、0.25秒、0.3秒、0.4秒、0.5秒、0.75秒、1.0秒、1.5秒、2.0秒、3.0秒、4.0秒、5.0秒、7.5秒及10.0秒的周期，计算拟谱加速度（Pseudospectral Accelerations, SA）与傅里叶振幅谱（Fourier Amplitude Spectra, FAS）。