Page Last Updated: May 17, 2026

File-Based Data🔗

File-based data is provided for imaging, EEG, and biosensor recordings. Unlike tabulated data (tables organized in a uniform way across study instruments), file-based data comes in a variety of formats, often modality-specific. File-based data includes:

  • Raw BIDS: raw data converted to the BIDS standard with unaltered signal content
  • Derivatives: processed datasets generated by standardized pipelines
  • Concatenated Data: participant-level files aggregated across all subjects for select measures

Raw BIDS🔗

See Age Variable Definitions for documentation on fields reporting age in raw BIDS data.

Raw BIDS are raw file-based data in BIDS format and include MRI, MRS, EEG, and wearable sensor recordings. Data are located under rawdata/ in subject, session, and modality-specific subfolders. Visit the following links to see full file contents and documentation for each modality:

hbcd/
└── rawdata/
    ├── sub-[ID]_ses-{V0X}_scans.tsv

    # Raw BIDS (MRI/MRS, EEG, biosensors)
    ├── sub-[ID]/
    │   └── ses-{V0X}/
    │       # Imaging & Spectroscopy - See file contents
    │       ├── anat/   
    │       ├── dwi/
    │       ├── fmap/
    │       ├── func/
    │       ├── mrs/
    │
    │       # EEG - See file contents 
    │       ├── eeg/
    │
    │       # Wearable sensors - See file contents
    │       └── motion/ 
    │
    # Dataset-level metadata
    ├── dataset_description.json
    └── participants.tsv

Participant-, Session-, & Scan-Level Data🔗

MRI scanner information is now included in the session-level scans TSV files (sub-[ID]_ses-{V0X}_scans.tsv) and will be made available as tabulated data in a future release.

Participant-, session-, and scan-level data are stored in TSV files accompanied by side JSONs with metadata:

Level File Name Description
Participant participants.tsv Basic demographic and participant information (e.g., sex)
Session sub-[ID]_sessions.tsv Session information (e.g., collection site, age at each session, head size)
Scan sub-[ID]_ses-{V0X}_scans.tsv Per-scan information (e.g., age, raw data QC metrics, scanner info)

Derivatives🔗

The derivatives/ folder contains derivatives, which are file outputs from processing pipelines.

hbcd/
└── derivatives/
    # Structural & Functional MRI
    ├── mriqc/
    ├── bme_x/
    ├── bibsnet/
    ├── nibabies/
    ├── freesurfer/
    ├── mcribs/
    ├── xcp_d/

    # Quantitative MRI
    ├── symri/
    ├── qmri_postproc/

    # Diffusion MRI
    ├── qsiprep/
    ├── qsirecon/
    ├── qsirecon-DIPYDKI/
    ├── qsirecon-DSIStudio/
    ├── qsirecon-TORTOISE_model-MAPMRI/
    └── qsirecon-TORTOISE_model-tensor/

    # Other Modalities
    ├── osprey/       # MRS
    ├── made/         # EEG
    └── hbcd_motion/  # Biosensor Recordings

Modality Derivatives Folder Pipeline Name & Link to Derivatives
Structural & Functional MRI mriqc/ MRIQC
bme_x/ BME-X
bibsnet/ BIBSNet
nibabies/ Infant fMRIPrep (or Nibabies)
freesurfer/ & mcribs/ FreeSurfer & M-CRIB-S
xcp_d/ XCP-D
Quantitative MRI symri/ & qmri_postproc/ SyMRI / qMRI PostProc
Diffusion MRI qsiprep/ QSIPrep
qsirecon/
qsirecon-DSIStudio/
qsirecon-DIPYDKI/
qsirecon-TORTOISE_model-MAPMRI/
qsirecon-TORTOISE_model-tensor/
QSIRecon
MR Spectroscopy osprey/ OSPREY-BIDS
EEG made/ HBCD-MADE
Wearable Sensors motion/ HBCD-Motion

Concatenated Data🔗

The concatenated/ folder contains participant-level files aggregated across all subjects for certain modalities, organized in modality-specific subfolders. Click View README links to view instrument documentation.

hbcd/
└── concatenated/
    # Illumina Global Diversity GWAS Array - View README
    ├── genetics/
    │   └── genotype_microarray/
    │       └── GDA/
    │           ├── batch.info
    │           ├── hbcd.bed
    │           ├── hbcd.bim
    │           └── hbcd.fam
    │
    # Geocoded Linked External Data (GLED) - View README
    ├── geocoding/
    │   └── HBCD_address_history_geocoded.csv
    │
    # Study Navigator Contact Form - View README
    └── study_navigator/
        └── study_navigator_export.csv