Welcome to Exploring FAIR Scientific Datasets with Python, a Jupyter Book dedicated to helping you access and visualise interesting FAIR-compliant scientific datasets using Python. Each chapter focuses on a different dataset that could be useful to a broad range of scientists or the general public, guiding you through the process of retrieving, analysing, and plotting the data.
You don't need to be an Python expert - this tutorial series should be suitable for beginners as well as improvers.
You can read the book here: https://nordatanet.github.io/Exploring_FAIR_data_with_Python
This book is for anyone interested in:
- Learning how to access publicly available scientific datasets.
- Creating meaningful visualisations using Python.
- Understanding the principles of FAIR (Findable, Accessible, Interoperable, Reusable) data and how it applies to real-world datasets.
Each chapter is structured to:
- Introduce a new dataset.
- Explain how to access it programmatically.
- Demonstrate visualisation techniques with Python.
This repository contains:
- The source files for the Jupyter Book.
- Python scripts and notebooks for each chapter.
- Resources and links to the datasets featured in the book.
To view the book online, click here. (Replace # with the link once book is published.)