WDC for Geophysics, Beijing(中国地球物理学科中心)
 
   

Author-submitted data information


ID 532
Title Codes and data for paper 'Assessing and Improving the Phasor Walkout Method for Identifying Low-frequency Spectral Peaks'
Creator Zhuowei Xiao
Subject Codes and data files
Publisher Xiukuan Zhao
Description Codes and data for reproducing figures in the paper 'Assessing the Phasor Walkout Method for Identifying Low-frequency Spectral Peaks'.
'plot_figure_1_2_3.ipynb' is the script for plotting Figures 1-3.
'plot_figure_4_5.ipynb' is the script for plotting Figures 4-5.
'plot_figure_6_7.ipynb' is the script for plotting Figures 6-7.
'synthetic_dataset_results.npy' is the data for producing Figures 6-7.
'plot_figure_8.ipynb' is the script for plotting Figure 8.
'Seq_Length_Study_add_SS_mag.npz' is the data for producing Figure 8.
'plot_figure9_figuresS6-S10.ipynb' is the script for plotting Figure 9 and Figures S6-S10, respectively.
'plot_figure_10.ipynb' is the script for plotting Figure 10.
Data under folder 'pwr_realworld_no_near_earthquakes' is the data for producing Figures 9, 10 and S6-S10.
'plot_figure_S1.ipynb' is the script for plotting Figure S1.
'plot_figure_S2.ipynb' is the script for plotting Figure S2.
'plot_figure_S3.ipynb' is the script for plotting Figure S3.
'plot_figure_S5.ipynb' is the script for plotting Figure S5.
'phw_lib.py' is the script containing the functions related to the phasor walkout method.
The 'phasecorr' folder contains the open-source Github repository for phase cross-correlation, namely 'phasecorr' (https://github.com/adienakhmad/phasecorr).
Contributor Zhongzheng Miao, Juan Li
Date Jun 2024
Type Python scripts, numpy saved array, and trained deep-learning models
Format Source codes are in python txt file format. Data are in npz, xml, and miniseed formats. Trained models are in hdf5 format.
URL http://www.geophys.ac.cn/ArticleData/20240619PWR_codes_and_data.zip
DOI 10.12197/2023GA033
Source
Language eng
Relation
Coverage
Rights Institute of Geology and Geophysics, Chinese Academy of Sciences