Analysis of Seismological Signals on Active Volcanoes (Volcano Seismology)

This repository contains the Jupyter Notebooks that accompany the course Analysis of Seismological Signals on Active Volcanoes at the Institute of Geosciences: General Geophysics.

Setup & Start

See the Jupyter Setup Notebook to begin the course.

Note: The course can be followed solely on GitHub. Only the exercise_X Notebooks require executing code and must therefore be run offline or use a Cloud Service such as https://colab.research.google.com to import and run the notebooks.

Follow on Binder

Here you can use and play with all notebooks.

Google Colab Setup

If you don't want to setup Python locally you can follow these steps:

Go to https://colab.research.google.com
Sign-up/-in with a Google Account
Once signed in, press CTRL + O
1. A new window will pop up
2. Select GitHub from the menu on the top
3. Enter EvaEibl/Volcanoseismology into the search field and press Enter
4. Choose the notebook you want to work on :)

In case you chose to use Colab you can skip the Setup Notebook.

Note: If you want to execute the code within the notebooks starting from Notebook 12+, make sure to create a new cell at the start of the notebook first and run !pip install numpy pandas matplotlib seaborn scipy obspy first to install the necessary packages within Colab.

Name		Name	Last commit message	Last commit date
Latest commit History 16 Commits
images		images
lecture_01		lecture_01
lecture_08		lecture_08
lecture_10		lecture_10
lecture_12		lecture_12
lecture_13		lecture_13
lecture_17		lecture_17
lecture_18		lecture_18
lecture_19		lecture_19
lecture_20_pyrocko		lecture_20_pyrocko
lecture_22_polarisation		lecture_22_polarisation
.gitignore		.gitignore
README.md		README.md
environment-linux.yml		environment-linux.yml
environment-windows.yml		environment-windows.yml
environment.yml		environment.yml
exercise_01_git.ipynb		exercise_01_git.ipynb
exercise_03_strings_integers_floats_bool_none.ipynb		exercise_03_strings_integers_floats_bool_none.ipynb
exercise_04_relational-operators_if-elif-else.ipynb		exercise_04_relational-operators_if-elif-else.ipynb
exercise_05_print_and_format.ipynb		exercise_05_print_and_format.ipynb
exercise_06_container.ipynb		exercise_06_container.ipynb
exercise_07_loops_and_list_comprehension.ipynb		exercise_07_loops_and_list_comprehension.ipynb
exercise_08_functions.ipynb		exercise_08_functions.ipynb
exercise_09_classes.ipynb		exercise_09_classes.ipynb
exercise_12_numpy_pandas.ipynb		exercise_12_numpy_pandas.ipynb
exercise_13_matplotlib_seaborn.ipynb		exercise_13_matplotlib_seaborn.ipynb
exercise_17_obspy_intro.ipynb		exercise_17_obspy_intro.ipynb
exercise_18_obspy_signal_processing.ipynb		exercise_18_obspy_signal_processing.ipynb
exercise_21_Basic_Processing_Exercise.ipynb		exercise_21_Basic_Processing_Exercise.ipynb
exercise_21_python_recap.ipynb		exercise_21_python_recap.ipynb
lecture_00.ipynb		lecture_00.ipynb
lecture_01_git.ipynb		lecture_01_git.ipynb
lecture_02_python_intro.ipynb		lecture_02_python_intro.ipynb
lecture_03_strings_integers_floats_bool_none.ipynb		lecture_03_strings_integers_floats_bool_none.ipynb
lecture_04_relational-operators_if-elif-else.ipynb		lecture_04_relational-operators_if-elif-else.ipynb
lecture_05_print_and_format.ipynb		lecture_05_print_and_format.ipynb
lecture_06_container.ipynb		lecture_06_container.ipynb
lecture_07_loops_and_list_comprehension.ipynb		lecture_07_loops_and_list_comprehension.ipynb
lecture_08_functions.ipynb		lecture_08_functions.ipynb
lecture_09_classes.ipynb		lecture_09_classes.ipynb
lecture_10_modules.ipynb		lecture_10_modules.ipynb
lecture_11_pypi.ipynb		lecture_11_pypi.ipynb
lecture_12_numpy_pandas.ipynb		lecture_12_numpy_pandas.ipynb
lecture_13_matplotlib_seaborn.ipynb		lecture_13_matplotlib_seaborn.ipynb
lecture_14_theory_fourier.ipynb		lecture_14_theory_fourier.ipynb
lecture_15_theory_filter.ipynb		lecture_15_theory_filter.ipynb
lecture_16_theory_spectral_analysis_preprocessing.ipynb		lecture_16_theory_spectral_analysis_preprocessing.ipynb
lecture_17_obspy_intro.ipynb		lecture_17_obspy_intro.ipynb
lecture_18_obspy_signal_processing.ipynb		lecture_18_obspy_signal_processing.ipynb
lecture_19_obspy_instrument_response.ipynb		lecture_19_obspy_instrument_response.ipynb
setup.ipynb		setup.ipynb

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Analysis of Seismological Signals on Active Volcanoes (Volcano Seismology)

Setup & Start

Follow on Binder

Google Colab Setup

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