npscience
commented
7 years ago Note to self - contribute here
Initial thoughts: See work from Janelia Farm (Karel Svoboda, Albert Cardona, Jeremy Freeman labs - just search their names from the eLife search bar elifesciences.org) published with eLife. They often include Jupyter notebooks and link to github repos with their data and code. Jeremy Freeman also developed Binder to wrap up data and code into Docker for reproducible computation by anyone else.
GrantRVD
While any kind of neuroscientific data has good potential as a learning tool when paired with the right tutorials, it would be ideal to use data associated with peer-reviewed publications. Ideally, each sub-domain of neuroscience should have five or so
Contributors: Please reply to this issue with your suggestions for papers and publications along with a brief elaboration on what concepts or skills a user would acquire by reading and re-performing the analyses done in the paper. Keep in mind the following requirements:
There must be a legal way to access the paper for free. To satisfy this requirement, the paper may be
The data used for the paper must be available for use, ideally small enough to fit on a consumer harddrive
The principal analyses of the paper should be, at least theoretically, reproducible with freely available software and programming tools (e.g. Python, R, Julia, etc.)
If you're unsure that a paper meets the above requirements or think it's worth mentioning anyway, you're welcome to post it and we'll discuss if and how it can be included in the syllabus.