diogoloc / marefone

Code for processing SeaGlider data

This project is dedicated to provide a Python framework for analysing data from SeaGliders based on ObsPy.

Version

v0.01

Requirements

The code is developped on Ubuntu with Python Python 3.7.

In addition to Python 3.9, you need to install the following packages:

• numpy
• matplotlib
• ObsPy
• json
• os
• multiprocessing

*I suggest to use the Anaconda Cloud to install your packages.

Brief explanation about the main code:

First of all, you must to get information of the dataset completude

How to update

The code is still experimental so you should regularly check for (and pull) updates.

ToDo list

• Create the main code.

References

• M. Beyreuther, R. Barsch, L. Krischer, T. Megies, Y. Behr and J. Wassermann (2010). ObsPy: A Python Toolbox for Seismology. SRL, 81(3), 530-533. DOI: 10.1785/gssrl.81.3.530

• L. Krischer, T. Megies, R. Barsch, M. Beyreuther, T. Lecocq, C. Caudron, J. Wassermann (2015). ObsPy: a bridge for seismology into the scientific Python ecosystem. Computational Science & Discovery, 8(1), 014003. DOI: 10.1088/1749-4699/8/1/014003

Inspiration

The code logo is based in Humpback whale tail. They are found in oceans and seas around the world and male humpback whales produce complex songs during the winter breeding season. These vocals range in frequency from 100 Hz to 4 Hz, with harmonics of at least 24 kHz, and can travel around 10 km (6.2 mi).