seabirdscientific

This is the repository for the Sea-Bird Scientific (SBS) Community Toolkit. It is a collection of:

• Python code to help in user developed processing of data collected with SBS instruments (see the repository src/sbs folder).
• Example SBS instrument data (see the repository documentation/example_data folder).
• A Jupyter notebook that documents the current toolkit processing options that can be applied to data collected with SBE 37 and SBE 19plus V2 CTDs (see the repository documentation folder). This notebook also serves to document the processing options available in the SBS Fathom application.

Documentation

https://github.com/Sea-BirdScientific/seabirdscientific/tree/main/documentation

Package Installation With pip

The seabirdscientific package uses Python 3.9 or greater. To install the package in a Python environment using pip send the command:

On Windows:

py -m pip install seabirdscientific

On Unix/macOS:

python3 -m pip install seabirdscientific

For additional information see the Python.org Installing Packages reference.

Example package use within python code

import seabirdscientific
from seabirdscientific import contour
import seabirdscientific.conversion as conv
import seabirdscientific.processing as proc

Required Software

You must have Python version 3.9 or higher installed in order to use the toolkit.

CTD Jupyter Notebook

The ctd-processing.ipynb notebook in the documentation folder provides examples of the methods that can be applied to SBS CTD data within both the toolkit and the SBS Fathom application. There are a number of online references available with information on Jupyter notebook setup for different platforms and environments. For those who are not interested in an interactive notebook, there is a static version available in PDF format.

Contributions to the Toolkit

If you have code or data that you would like to contribute to the SBS community toolkit, please contact SBS customer support