Dartbrains Localizer Dataset

A subset of the Brainomics/Localizer functional MRI dataset, prepared for the Dartbrains neuroimaging course at Dartmouth College.

Quick Start

Load beta maps (recommended for most exercises)

from datasets import load_dataset

ds = load_dataset("dartbrains/localizer", "betas")
img = ds[0]["nifti"]       # nibabel.Nifti1Image
subject = ds[0]["subject"]  # "S01"
condition = ds[0]["condition"]  # "audio_computation"

Load event files as a table

ds = load_dataset("dartbrains/localizer", "events")
# Convert to Polars
import polars as pl
df = pl.from_arrow(ds["train"].to_arrow())

Load a single file directly (for nibabel/nltools workflows)

from huggingface_hub import hf_hub_download

path = hf_hub_download(
    repo_id="dartbrains/localizer",
    filename="derivatives/betas/S01_betas.nii.gz",
    repo_type="dataset",
)

# Use with nibabel
import nibabel as nib
img = nib.load(path)

# Use with nltools
from nltools.data import Brain_Data
brain = Brain_Data(path)

Load specific subjects (selective download)

from huggingface_hub import snapshot_download

path = snapshot_download(
    repo_id="dartbrains/localizer",
    repo_type="dataset",
    allow_patterns=["derivatives/fmriprep/sub-S01/**", "sub-S01/**"],
)

Load tabular data with Polars

import polars as pl

events = pl.read_csv(
    "hf://datasets/dartbrains/localizer/sub-S01/func/sub-S01_task-localizer_events.tsv",
    separator="\t",
)

Dataset Structure

dartbrains/localizer/
├── dataset_description.json
├── participants.tsv
├── participants.json
├── task-localizer_bold.json
├── README
├── sub-S01/
│   └── func/
│       └── sub-S01_task-localizer_events.tsv
├── sub-S02/
│   └── ...
├── derivatives/
│   ├── betas/
│   │   ├── S01_betas.nii.gz              # all conditions stacked
│   │   ├── S01_beta_audio_computation.nii.gz
│   │   ├── S01_beta_audio_left_hand.nii.gz
│   │   └── ...
│   └── fmriprep/
│       ├── sub-S01/
│       │   ├── anat/     # T1w preprocessed, transforms
│       │   ├── figures/   # QC reports
│       │   └── func/     # preprocessed BOLD, confounds, masks
│       └── ...

Conditions

The localizer task includes the following conditions:

• audio_computation / video_computation
• audio_sentence / video_sentence
• audio_left_hand / audio_right_hand
• video_left_hand / video_right_hand
• horizontal_checkerboard / vertical_checkerboard

Citation

@article{papadopoulos2017brainomics,
  title={The Brainomics/Localizer database},
  author={Papadopoulos Orfanos, Dimitri and Michel, Vincent and Schwartz, Yannick and Pinel, Philippe and Moreno, Antonio and Le Bihan, Denis and Frouin, Vincent},
  journal={NeuroImage},
  volume={144},
  pages={309--314},
  year={2017},
  doi={10.1016/j.neuroimage.2015.09.052}
}