@RichardLitt The Open Source Science Initiative (OSSci) reference will be updated to link to our template once the pull request for OSSci is merged . These entries are dependent on that update for proper referencing. #130

Thanks @reginankenchor. @Nolski - do you think we could use this for the NSF main page?

@reginankenchor Could you add this to the _toc.yml?

Thanks @reginankenchor. @Nolski - do you think we could use this for the NSF main page?

@reginankenchor Could you add this to the _toc.yml?

Okay.

Looks like another hardcoded link. From Claude:

Relative Links in Jupyter Notebooks

Relative links are useful in Jupyter Notebooks, especially when organizing content across multiple notebooks or referencing external files within the same project structure. Here's what you need to know:

Basic Usage

Jupyter Notebooks support standard Markdown link syntax for relative links:

[Link text](relative/path/to/file.ipynb)

Key Points About Relative Links

1. File References: You can link to other notebooks, HTML files, images, or any other files using relative paths.

2. Path Conventions:

   • ./file.ipynb - File in current directory
   • ../file.ipynb - File in parent directory
   • subdirectory/file.ipynb - File in subdirectory

3. Notebook-to-Notebook Navigation: Clicking a relative link to another notebook will open that notebook in a new tab within the Jupyter interface.

4. Context Awareness: The paths are relative to the location of the current notebook, not to the server root.

Example Use Cases

1. Project Documentation: Link between notebooks in a multi-notebook project
2. Reference Data: Link to data files or images in a data subdirectory
3. Navigation: Create a "table of contents" notebook with links to other notebooks

Implementation Example

# Project Links

- [Introduction](./introduction.ipynb)
- [Data Processing](./data/processing.ipynb)
- [Analysis](./analysis/main.ipynb)
- [Results](./results.ipynb)
- [Image Gallery](./images/)

This approach helps create organized, navigable documentation within your Jupyter project structure.