This title appears in the Scientific Report :
2022
Please use the identifier:
http://hdl.handle.net/2128/32266 in citations.
FAIRly big: A framework for computationally reproducible processing of large-scale da
FAIRly big: A framework for computationally reproducible processing of large-scale da
Saved in:
Personal Name(s): | Wagner, Adina Svenja (Corresponding author) |
---|---|
Waite, Laura / Wierzba, Małgorzata / Hoffstaedter, Felix / Waite, Alexander / Poldrack, Benjamin / Eickhoff, Simon / Hanke, Michael | |
Contributing Institute: |
Gehirn & Verhalten; INM-7 |
Imprint: |
2022
|
Conference: | INM & IBI Retreat 2022 "Molecular neuroscience meets brain function", Jülich (Germany), 2022-10-18 - 2022-10-19 |
Document Type: |
Poster |
Research Program: |
Neuroscientific Data Analytics and AI |
Link: |
OpenAccess |
Publikationsportal JuSER |
Description not available. |