con / con/mechababs

Do a sweep over openneuro priority datasets

Open
#86 4 comments 0 reactions 0 assignees View on GitHub
Dominant language
Python
Stars
1
Forks
4
Avg merge
15h 39m
Merged PRs (30d)
24

Description

- doing 1 subject (session) per each one of the priority datasets with
- 1 minimal and 1 full (we need to assess)

Contributor guide

No contributing guide indexed for this repository

Research direction

The issue does not name any files, tests, entry points, priority datasets, or expected outputs. Start by locating how datasets and BAB runs are selected and recorded, then identify the priority dataset list and clarify what “minimal” and “full” mean. Done means one subject or session has been run in both modes for every priority dataset, with the assessment captured.

Written by the indexing model from the issue text.

Assessment

Tech stack
python
Domain
data
Issue type
Feature
Difficulty
4/5
Estimated time
3-5 days
Activity status
Active
Clarity
Needs clarification
Newbie friendliness
45/100

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