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OpenNeuro ds000228: T1-weighted MRI of 155 children and adults (Richardson et al.)

pl.load("openneuro_ds000228") loads this dataset. Anatomical T1w volumes of 122 children (3-12 years) and 33 adults from the OpenNeuro dataset ds000228, read straight from the public OpenNeuro S3 bucket (anonymous listing and download). The functional runs and fMRIPrep derivatives of the same dataset are in the bucket too; any other OpenNeuro dataset is one line away: pl.load('s3://openneuro.org/ds000001').

import pardesline as pl

ds = pl.load("openneuro_ds000228")
print(ds.describe())  # roles, frames, units, labels, licence, citation
s = ds[0]
obj = s.t1w  # fetched now, cached under ~/.cache/pardesline/datasets/openneuro_ds000228

Provenance and licence
Source public S3 bucket openneuro.org, prefix ds000228
Scheme s3
Size of the whole source 2.4 GB
Licence PDDL-1.0
Commercial use allowed by the licence
Redistribution allowed
Licence note dataset_description.json states License: PDDL (checked 2026-10-14); OpenNeuro datasets published since 2018 are CC0.
Terms https://openneuro.org/datasets/ds000228
Homepage https://openneuro.org/datasets/ds000228
Cite Richardson H., Lisandrelli G., Riobueno-Naylor A., Saxe R. Development of the social brain from age three to twelve years. Nat Commun 9:1027, 2018. OpenNeuro ds000228. doi:10.18112/openneuro.ds000228.v1.1.1
Samples grouped by id

Roles (what each sample contains)

Role Type Frame Units Labels / layout Pattern or file
t1w volume (MR) from the file header from the file header {id}/anat/{id}_T1w.nii.gz
T1-weighted anatomical MRI (BIDS anat/)

Standardized layout

Files are fetched on first access into the dataset cache and stay in their original format; ds.export(folder) writes every sample as standard files (PLY for points and meshes, MetaImage for volumes and label maps) with a .pardesline.json sidecar carrying frame, units, labels, licence and provenance, plus a manifest for the folder. Label maps become exact surfaces with to_mesh(label=k), DICOM series become one volume, raw arrays are decoded through the layout above.

ds = pl.load("openneuro_ds000228").take(2)
ds.export("./standardized")        # PLY / MetaImage + sidecars + manifest.json

Algorithms and models that run on it

Generated from src/pardesline/data/manifests/openneuro_ds000228.json on 2026-10-14.