Author-submitted data information
| ID | 701 |
| Title | Codes and data for paper 'Detection and Removal of Strong Transient Disturbances for Uncovering Weak Long-Period Signals in Apollo Lunar Seismic Data' |
| Creator | Zhuowei Xiao |
| Subject | Codes and data files |
| Publisher | Xiukuan Zhao |
| Description | Codes and data for reproducing all figures in the paper 'Detection and Removal of Strong Transient Disturbances for Uncovering Weak Long-Period Signals in Apollo Lunar Seismic Data'. Folder 'Reproduce_figures_in_the_manuscript' contains all data and notebooks for reproducing all figures in the manuscript. Under this folder, notebook 'Reproduce_Figure_1.ipynb' is for reproducing Figure 1. Notebook 'Reproduce_Figure_2.ipynb' is for reproducing Figure 2. Notebook 'Reproduce_Figure_3.ipynb' is for reproducing Figure 3. Notebook 'Reproduce_Figures_4_and_S2_to_S19.ipynb' is for reproducing Figures 4, S2-S19. Notebook 'Reproduce_Figures5_S20-22.ipynb' is for reproducing Figures 5 and S20-S22. Notebook 'Reproduce_Figures6_7_S23_S30.ipynb' is fore reproducing Figures 6,7 and S23-S30. Files 'EV_13_S4B_IMP.npy', 'EV_14_S4B_IMP.npy', 'EV_15_S4B_IMP.npy', 'EV_16_S4B_IMP.npy', 'EV_17_S4B_IMP.npy' are S-IVB events processed in this study. Files '19710120.MHZ.npy', '19720116.MHZ.npy', '19720214.MH1.npy', '19720417.MH2.npy' are examples of LPS signals processed in this study. Miniseed and corresponding files are manual annotation examples. Folder 'MannalAnnotateInterface' contains the script for the graphic user interface. Folder 'AutoProcessWorkflow' contains the script for the automatic process workflow. Folder 'example_data' contains data for testing the user interface and the automatic program. |
| Contributor | Juan Li, Zhiyuan Shi, Xin Liu, and Yosio Nakamura |
| Date | January 2025 |
| Type | Python scripts, Jupyter notebooks, numpy saved array, and trained deep-learning models. |
| Format | Source codes are in python txt file format. Jupyter notebooks are in ipynb file format. Data are in npz, csv, and miniseed formats. Trained models are in hdf5 format. |
| URL | http://www.geophys.ac.cn/ArticleData/20250408Apollo_Disturbance_Detection.zip |
| DOI | 10.12197/2025GA002 |
| Source | |
| Language | eng |
| Relation | |
| Coverage | |
| Rights | Institute of Geology and Geophysics, Chinese Academy of Sciences |