This repository accumulates BCO-DMO data usage examples.
The notebooks folder contains standalone notebooks that provide examples of how to use BCO-DMO data in various ways. Many include a "Launch in Colab" button that you can use to launch and run the notebook in Google Colab. Currently they are written in python but we plan to add examples in other languages.
The following lessons were created by BCO-DMO data managers and use examples of how to access and use BCO-DMO data.
https://k-rns.github.io/workshop_data_reuse/
Citation: Karen Soenen (2021, November 12). Reusing Open Data with ERDDAP and Python. Zenodo. https://doi.org/10.5281/zenodo.5684719
Data reuse saves time and accelerates the pace of scientific discovery. By making your data open and available to others, you make it possible for future researchers to answer questions that haven’t yet been asked. But how do you actually reuse the data that you put in repositories?
This is a 4 hour workshop tailored to the ocean sciences. We aim to teach the basics of data reuse using ERDDAP servers maintained by ocean science-specific repositories and programs. The processing environment where the data will be pulled in to is Python, but other programs such as R and Matlab can make use of the same technology.
https://adyork.github.io/workshop_bios_oceanographic_data_part2/07-bcodmo-data-access%20/index.html