ME-ICA / ME-ICA/open-multi-echo-data
Weill Cornell Medicine Multi-echo (WCM-ME) Dataset
Open
Nobody has claimed this yet.
3T
5-echo
datasets
- Dominant language
- HTML
- Stars
- 2
- Forks
- 1
- PR merge metrics
- No merged PRs in 30d
Description
Location
https://openneuro.org/datasets/ds005118
Basic Info
Five echoes, with 10 sessions- each containing 4 runs of resting-state.
There are also six T1ws and six T2ws.
Derivatives
- afni_proc.py
- fMRIPrep
Contributor guide
No contributing guide indexed for this repository
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Start by reviewing the OpenNeuro dataset at https://openneuro.org/datasets/ds005118 and the repository's existing dataset records. Confirm the five echoes, ten sessions, four resting-state runs per session, and the T1w and T2w scans. Done should include the requested dataset information and resolution of the afni_proc.py and fMRIPrep derivative checklist items.
Written by the indexing model from the issue text.
Assessment
- Domain
- data
- Issue type
- Feature
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100