datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
sherlock
Sherlock
Naturalistic fMRI dataset: 16 subjects watched ~50 minutes of Sherlock across
two scanning runs (Part1, Part2) and then verbally recalled the narrative in
the scanner. TR = 1.5 s.
This repo mirrors the fmriprep-preprocessed dataset originally distributed via
DataLad at https://gin.g-node.org/ljchang/Sherlock. fmriprep version 1.2.6-1.
Layout
derivatives/fmriprep/sub-XX/
anat/ func/ figures/ log/
onsets/
Sherlock_Crop_Onsets.csv… See the full description on the dataset page: https://huggingface.co/datasets/dartbrains/sherlock.localizer
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"… See the full description on the dataset page: https://huggingface.co/datasets/dartbrains/localizer.paranoia
Paranoia
Naturalistic fMRI dataset: 22 subjects listened to a three-part ambiguous
social narrative (~22 minutes total) designed to elicit varying levels of
paranoid interpretation. TR = 1.0 s. 3-second fixation before each run.
This repo mirrors the fmriprep-preprocessed dataset originally distributed via
DataLad at https://gin.g-node.org/ljchang/Paranoia. fmriprep version
1.2.6-1.
Layout
derivatives/fmriprep/sub-tbXXXX/
anat/ func/ figures/
participants.tsv… See the full description on the dataset page: https://huggingface.co/datasets/dartbrains/paranoia.