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GitHub Mirror of the https://datasets.datalad.org/?dir=/centerforopenneuroscience/talks where you can actually see them rendered

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Slides for the talks from CON people

This repository contains the raw sources for talks and workshops done by CON people. Its content is based on the DataLad handbook and others, and its technical backbone is reveal.js.

Slides are written in HTML and are within this root folder.

Casts are remotely executed code casts, mostly written with autorunrecord in the book itself.

Casts can be executed using the tool cast_live found in tools/ with the following invocation:

tools/cast_live casts/<cast-of-your-choice> 

cast_live may not work on your system. It has only been used on Linux-based systems so far. Please file an issue if you encounter problems. A number of casts from previous workshops can be found in casts/. To find out how to create casts on your own machine, check out the contributing instructions for the book for casts, or write them by hand - everything that starts within a run '<code here>' statement is executed on Enter, everything within a say '<note>' is written to your private terminal as a note. Note that cast_live may configure your keyboard layout to en-us. If you are usually using a different keyboard layout, e.g., German, reset it using setxkbmap de.

DataLad/git-annex

If cloning from anywhere else than https://datasets.datalad.org copy of this dataset, you might need to add its content-containing git-annex via

git remote add --fetch datasets.datalad.org https://datasets.datalad.org/centerforopenneuroscience/talks/.git

to get access to the files stored on this remote (I didn't bother adding it as auto-enabling git-annex type=git remote yet).

Advice for creating presentations

  • clone the repository to your local computer and datalad get all subdatasets (datalad get -n -r .).
  • For simple use cases such as viewing presentations it should suffice to open any raw .html in a browser of your choice. In this scenario, you may be able to generate a PDF from your slides by opening the presentation in a recent version of Chrome or Chromium, and append ?print-pdf to the URL. Afterwards, you may be able to print to PDF from your browser.
    • Gotcha: the query string must come before the # fragment. reveal.js tests window.location.search, so deck.html?print-pdf and deck.html?print-pdf#/4 both work, but deck.html#/4?print-pdf silently does nothing -- the whole #/4?print-pdf is the hash, and search stays empty. Since normal navigation leaves a #/<slide> in the URL bar, appending ?print-pdf to what you are looking at is exactly the case that fails. (?view=print works too.)
    • In the print dialog set Margins: None and Background graphics: on, and choose a landscape paper size. Chrome's dialog cannot adopt the deck's own page size, so slides end up letterboxed on A4/Letter with white bands -- fine for sharing, not pixel-perfect. tools/mkpdf.py below avoids this.
  • For more use cases and more reliable PDF exports, use reveal.js's full setup. This requires a working installation of Node.js:
# in the root dataset:
npm install
# to create a local npm server that automatically refreshes presentations
npm start
  • A reliable method to export PDFs from a running npm server is decktape. To generate PDFs from HTML run
docker run --rm -t --net=host -v `pwd`:/slides astefanutti/decktape http://localhost:8000/<presentation-of-your-choice.html> slides.pdf -s  1024x768
  • More options, e.g., exports of individual slide screenshots, are in decktape's documentation
  • If you have neither Docker nor a running npm server, tools/mkpdf.py exports any deck in this repo headlessly, straight from the .html file, needing only uv:
uv run --with playwright playwright install chromium   # once
uv run --with playwright python tools/mkpdf.py <presentation-of-your-choice.html>

It writes <presentation>.pdf next to the deck (override with -o). Page size is taken from the deck's own reveal width/height config, so 4:3 and 16:9 decks both come out right with no flags. Use --wait to give mermaid-heavy decks longer to render. Do not commit the generated PDFs -- they are derived artifacts; the live HTML is what gets shared.

  • The tool directpoll works fantastic for virtual talks. See #34 or the template talk for info on how to use it
  • We have made good experiences with live code demonstrations. The tools/cast_live script is used for this. It is highly advised to test whether this script works on your set-up beforehand!

License

CC-BY-SA: You are free to

  • share - copy and redistribute the material in any medium or format
  • adapt - remix, transform, and build upon the material for any purpose, even commercially

under the following terms:

  • Attribution — You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.

  • ShareAlike — If you remix, transform, or build upon the material, you must distribute your contributions under the same license as the original.

Not everything here is ours

Slides quote the world: screenshots of web pages and papers, figures, cartoons, funder logos. Those are not covered by the CC-BY-SA above — they belong to their original rights holders, and this repository cannot and does not relicense them. The CC-BY-SA applies to the slides, diagrams and text authored here.

Our own code is not under the slide license either: the helper scripts in tools/ and the CI workflows under .github/ are Apache-2.0, since Creative Commons licenses are not meant for software.

Which is which is recorded per-file, machine-readably, following the REUSE specification:

Where What
REUSE.toml per-path copyright and license annotations, with comments explaining each group
LICENSES/ full license texts
LICENSES/LicenseRef-ThirdPartyMixed.txt marker for third-party material whose provenance could not be reconstructed
LICENSES/LicenseRef-ThirdPartyLogo.txt marker for third-party logos and trademarks (nominative use only)

The two LicenseRef-* entries are markers, not license grants. They record "this is someone else's, and we could not determine whose" rather than pretending to ownership — their SPDX-FileCopyrightText is NOASSERTION for exactly that reason. If you want to reuse one of those files, track down the original rights holder.

One caveat on that NOASSERTION: it reads as intended in REUSE.toml and in this document, but reuse spdx currently emits it wrapped as FileCopyrightText: <text>SPDX-FileCopyrightText: NOASSERTION</text> rather than as the bare SPDX sentinel. An SBOM consumer may therefore treat it as a literal copyright string instead of "unknown". Read REUSE.toml as the authoritative statement.

Known provenance is recorded where we have it — for example the YODA artwork (from myyoda/poster, © 2018 Michael Hanke and Kyle Meyer, CC-BY-4.0) and the carrot/ReproNim-containers artwork adapted from Michael Hanke's "Carrots! Not sticks!" (slides, CC-BY per the author). Corrections and additions are very welcome — please open an issue or a PR.

Check compliance with:

uvx --from 'reuse==6.2.0' reuse lint

(The version is pinned to match .pre-commit-config.yaml; the counts below are version-dependent.)

Caveat: reuse lint only sees about half of this repository

REUSE specification 3.3 excludes "Symlinks and files with no data (zero-byte)" from Covered Files, and reuse implements that by skipping every symlink unconditionally. This is a git-annex dataset, so 282 of its tracked files are symlinks — most of pics/ — and the linter neither checks nor counts them. Together with the submodules, the license files and REUSE.toml itself, which the spec also excludes, only 300 files out of roughly 590 tracked are actually checked. A green 300 / 300 from reuse lint therefore means "the 300 files it looks at are fine", not "the repository is fully covered".

The annotations in REUSE.toml still describe the annexed files correctly; they are simply not machine-verified here. Upstream has been aware of this since 2022 — see reuse-tool#627 and the long-stalled draft PR #764, which needs a specification change before it can land.

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GitHub Mirror of the https://datasets.datalad.org/?dir=/centerforopenneuroscience/talks where you can actually see them rendered

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