Traveling Subject MRI
411 scans of the 3T MRI imaging data
from 9 traveling subjects collected at 9 sites.


The dataset contains the following files with BIDS style.

(1) Brain imaging dataset (sub-/ses-site/{func, anat, fmap}) [NIFTI format]
- Resting-state functional image
- T1-weighted structural image
- Fieldmap (optional)

- Explanation of dataset

(3) Participant demographic information (participants.{tsv,json})
- Including ID, age, sex

(4) Measurements information for each site/session (sub-/ses-site/sub-*_sessions.{tsv,json})
- Including session ID, site, day, phase, manufacture, coil, scanner

(5) QC results (QC/group_{bold, T1w}.tsv)
- Outputs of MRIQC for rs-fMRI and T1w

The structure of dataset (BIDS valid):

  ├── sourcedata
  │   ├── README
  │   ├── dataset_description.json
  │   ├── participants.json
  │   ├── participants.tsv
  │   └── sub-0*
  │       ├── sub-0*_sessions.json
  │       ├── sub-0*_sessions.tsv
  │       ├── ses-site*
  │       │   ├── func
  │       │   ├── anat
  │       │   └── fmap
  │       ...
  └── QC
      ├── group_T1w.tsv
      └── group_bold.tsv

Traveling Subjects Data

Data Download

* MD5 hash : f6a991271a753e746a6f62a7444ec466
* As file size is large ( 19.5GB ), downloading takes time.
* This file is stored in Amazon S3 Service.


Program code of deface (face-masking) for anatomical MRI images

To avoid identifying individual participant by reconstruction of face surface from the structural MRI data of our datasets, we performed face-masking calculation. This code removes the subject's face from the MRI structure image (NIfTI format: .nii). This is written in MATLAB and internally uses SPM8 and mri_deface.

Github page :

History of update

  • (2021-06-22) code released.
  • (2021-04-15) data updated.
  • (2020-03-26) data updated.
  • (2019-10-28) traveling subjects data released.


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