Seismo-Live

Live Jupyter Notebooks
for Seismology

Help - What is this?

View Notebooks

View Jupyter Notebooks
Click here to view the Jupyter notebooks. You can view pre-rendered ones, download them to run locally or run them online.

More Information

ObsPy

ASDF

Instaseis

Computational Seismology

  • GitHub
  • Except where otherwise noted, content on this site is licensed under a CC BY-NC-SA 4.0 License. © 2015-2019 Lion Krischer.
  • Design based on a template from HTML5 UP

What am I looking at?

Seismo-Live is an interactive online learning platform for seismology. It utilizes Jupyter Notebooks.

Getting Started

Most links on the front page lead to tools and projects that are used on Seismo-Live. The glowing green button will launch a light-weight remote virtual machine with ready to use interactive notebooks. Click on it to get started.

Jupyter Notebook Overview

Once you clicked the green button, an overview of all available notebooks will be shown in a new tab. Choose any. If you have never seen this before, the Python Courses ones also contains a quick introduction on how to use the notebooks.
There is also some official documentation on how to use the notebooks and lots of tutorials can be found in the internet.

Launch

More Information

Mission Statement

Seismo-Live aims to collect all kinds of digital learning resources for seismology and offer them via this portal here. We currently have Jupyter notebooks but we plan to extend this with more detailed texts and videos.

Many institutes and labs have their own learning resources. Seismo-Live enables them to be shared with the whole community to the benefit of all.

Installing it on your own Machine

As the notebooks on Seismo-Live are not persistent it might be of interest to install them on your own machine. See here for up-to-date installation instructions.

Contributing

You can contribute via the project's Github page. All notebooks currently are based on Python but that is not a requirement of the platform - we can accommodate tutorials and resources written in any open-source programming language (no Matlab and SAC - sorry - but for example Octave would work) as long as the computational and data requirements are fairly small.