seismology-RUB/DataAnalysis2022
10
0
Fork 0
Code Issues Pull Requests Projects Releases Wiki Activity
Seismological Data Analysis 2022
8 Commits 2 Branches 0 Tags 38 MiB
Jupyter Notebook 100%
d829006103
Go to file
Kasper D. Fischer d829006103 update README.md
2024-04-22 11:46:34 +02:00
01-Python_Introduction add jupyter notebook "Python Crash Course" 2022-04-08 21:47:05 +02:00
02-FFT_and_Basic_Filtering add new file 02-FFt_and_Basic_Filtering/3-Instrument_response.ipynb 2022-05-16 14:03:44 +02:00
03-Cross_Correlation add exercises on cross correlation 2022-05-30 13:32:09 +02:00
images add jupyter notebook "Python Crash Course" 2022-04-08 21:47:05 +02:00
.gitignore update README.md and .gitignore 2022-04-08 21:35:38 +02:00
dataanalaysis.code-workspace Add data analysis code workspace configuration 2024-04-22 11:35:38 +02:00
LICENSE Initial commit 2022-04-06 13:01:14 +02:00
README.md update README.md 2024-04-22 11:46:34 +02:00

README.md

Seismological Data Analysis 2024

Jupyter Notebooks for class "Seismological Data Analysis" (summer term 2024)

License

The content of this repository is licensed under Creative Commons Attribution 4.0 International (CC-BY 4.0) unless otherwise stated (see below)

Lectures

01 - Python Introduction

This has been forked from Seismo Live. The source code is available at https://github.com/krischer/seismo_live (licensed under a CC BY-NC-SA 4.0 License. © 2015-2022 Lion Krischer).

02 - Fourier-Transform and Basic Filtering

This has been forked from Seismo Live. The source code is available at https://github.com/krischer/seismo_live (licensed under a CC BY-NC-SA 4.0 License. © 2015-2022 Lion Krischer).

03 - Cross Correlation

  1. Simple Cross Correlation: Use the cross-correlation to detect and determine the time shift of two test events with one template event.
  2. Enhanced Picker: This has been taken from the ObsPy Tutorial. ObsPy is licensed under the LGPL v3.0
  3. Ambient Seismic Noise Analysis from Seismo Live. The source code is available at https://github.com/krischer/seismo_live (licensed under a CC BY-NC-SA 4.0 License. © 2015-2019 Lion Krischer).