Latest posts tagged with #dataLad on Bluesky
Adina Wagner
#RSE #Stories hinter #ABCD_J: Adina Wagner (www.adina-wagner.com; www.abcd-j.de/de/contribut...) ist seit vielen Jahren Teil des Entwicklungsteams um die Software #DataLad. Forschungssoftware vereint für Adina die schönsten Aspekte wissenschaftlicher Arbeit.
Figure 2: Examples of CO2 degassing at the Starzach site. Figure reproduced from Büchau et al. (2022, Appendix A, page 62, kindly provided by the publisher under a CC-BY-4.0 license). (a) diffuse degassing, small ascending gas bubbles (during spring 2020 flooding), (b) mofette with largest diameter, examined in 2015 by Lübben and Leven (2022), (c) picture by Martin Schon in 2019, groundwater monitor well, turned into the site’s most active mofette shortly after its deployment in 2014.
Table 2: Tabular comparison of four low-cost NDIR CO2 sensors evaluated for application at the Starzach site, reproduced from Büchau et al. (2022, Appendix A, page 65, kindly provided by the publisher under a CC-BY-4.0 license)
Figure 5: Gas flow funnel system mounted over the groundwater monitoring well (Figure 1, installed in 2014, which turned into a mofette shortly after deployment) at the Starzach site in 2022. Figure reproduced from (Büchau et al., 2024a, Appendix B, page 80, licensed under CC-BY-4.0).
Figure 9: Flux-gradient setup close to the ground, next to the Starzach site’s mofette with the largest diameter (30 cm, Figure 2b, examined in 2015 by Lübben and Leven, 2022). Four Sensirion SCD30 low-cost CO2 sensors each are mounted 40 cm above and below a Campbell Scientific IRGASON eddy covariance station at 60 cm height. Measurements of this setup are shown in Figure 10 and Figure 11.
And here is my published dissertation, about quantifying the natural CO2 exhaust at the Starzach site in Southwest Germany (my result: ~10t/d):
http://hdl.handle.net/10900/176213
I used a lot of #FOSS software for all of it and it was amazing. Honorable […]
[Original post on fosstodon.org]
#forgejoAneksajo #gitAnnex #dataLad crowd:
Anyone else running into this experience-crippling #forgejo bug causing the activity page (de facto landing page for every user) to take extremely long to load (for me 10 seconds)?
https://codeberg.org/forgejo/forgejo/issues/9040
@datalad @forgejo
DataLad extension adds SLURM support for reproducible HPC workflows
A new DataLad extension adds SLURM support, enabling coordinated repository access with locking for reproducible HPC workflows. The revision was posted on September 26, 2025 (arXiv:2505.06558). getnews.me/datalad-extension-adds-s... #datalad #slurm
If you are attending this year's @distribits end of October¹ and you want to be dressed 'appropriately' 😉, last year I organised that hellotux.com offers :gitannex: #gitAnnex² and :datalad: #dataLad³ shirts, sweaters. Now also backpacks 🎒 and towels can be ordered.
I ordered several items and […]
@umphy :gitannex: #gitAnnex and :datalad: #dataLad organize the data and sync it to our own :forgejo: #forgejoAnneksajo instance. You can instantly see if everything is there and worked. A great workflow!
#forgejo
Folie mit dem Titel „DataLad – Unsere Einführung, Ihre Anwendungsfälle“, präsentiert von Michael Hanke, Adina Wagner, Stephan Heunis und Michał Szczepanik. Zu den angegebenen Einrichtungen gehören das Institut für Neurowissenschaften und Medizin (INM-7), das Forschungszentrum Jülich und das Institut für Systemneurowissenschaften der Heinrich-Heine-Universität Düsseldorf. Die angegebenen Kontaktdaten lauten @datalad@fosstodon.org, die Website lautet http://psychoinformatics.de. Die Logos des Forschungszentrums Jülich und der Heinrich-Heine-Universität Düsseldorf sind abgebildet. Veranstaltungsdatum und -ort: 30. Juni bis 2. Juli 2025, Aachen.
Danke an alle, die beim #Workshop und #Hackathon in Aachen (30.6.–2.7.) dabei waren—gemeinsam organisiert von #DKZ.2R, #WiNoDA, @nfdi4ing.bsky.social, @nfdi4objects.bsky.social! 3 Tage #DataLad und #Datenmanagement: Von der Einführung bis zur praktischen Arbeit an Anwendungsfällen der Teilnehmenden.
There is now a #gitAnnex package on #PyPi: https://pypi.org/project/git-annex/
This should make it simpler to deploy git-annex in Python virtual environments, also as versioned dependencies for software like #Datalad
Packages are built for Linux, Windows, and Mac via GitHub actions […]
I want a build system that:
- is as powerful and flexible as #SCons
- as readable and concise as #SnakeMake
- has a fricking progress bar
- is :datalad: #datalad / :gitannex: #gitannex agnostic (knows that broken symlinks or pointer files can be fetched from elsewhere
- remembers how long […]
My :nixos: #NixOS always wants to bulid :datalad: #datalad from source and the tests take aaaages and neither override{,Python}Attrs doCheck=false works to prevent it 😩
Slide with title "Reproducible Research Data Management with DataLad", presented at Joint Lab Meeting (Gluth, Schuck & Schwabe Labs) at University of Hamburg by Dr. Lennart Wittkuhn
Want to make your research (data) management more reproducible + collaborative? Check out DataLad (www.datalad.org)! I had the pleasure of introducing it at our Joint Lab Meeting (Gluth, Schuck & Schwabe labs) at @uni-hamburg.de today! Slides here: lennartwittkuhn.com/talk-uhh-rdm... #Git #DataLad
In a new article, I take a look at #Forgejo for hosting laaarge #Datalad datasets. I am talking about datasets with millions of files. Or rather millions of #gitAnnex file pointers.
...and...
It works really nice, right out of the box! Millions of files in thousands of datasets. Not even a […]
