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ds003688
Open multimodal iEEG-fMRI dataset from naturalistic stimulation with a short audiovisual film
openneuro
https://openneuro.org/datasets/ds003688
10.18112/openneuro.ds003688.v1.0.7
CC0
{ "library": "eegdash", "class": "EEGDashDataset", "kwargs": { "dataset": "ds003688" } }
https://huggingface.co/spaces/EEGDash/catalog
huggingface-space/scripts/push_metadata_stubs.py

Open multimodal iEEG-fMRI dataset from naturalistic stimulation with a short audiovisual film

Dataset ID: ds003688

Berezutskaya2021

At a glance: IEEG · Multisensory perception · epilepsy · 51 subjects · 107 recordings · CC0

Load this dataset

This repo is a pointer. The raw EEG data lives at its canonical source (OpenNeuro / NEMAR); EEGDash streams it on demand and returns a PyTorch / braindecode dataset.

# pip install eegdash
from eegdash import EEGDashDataset

ds = EEGDashDataset(dataset="ds003688", cache_dir="./cache")
print(len(ds), "recordings")

If the dataset has been mirrored to the HF Hub in braindecode's Zarr layout, you can also pull it directly:

from braindecode.datasets import BaseConcatDataset
ds = BaseConcatDataset.pull_from_hub("EEGDash/ds003688")

Dataset metadata

Subjects 51
Recordings 107
Tasks (count) 2
Channels 74 (×6), 109 (×5), 62 (×5), 125 (×4), 85 (×4), 107 (×4), 88 (×4), 72 (×4), 67 (×3), 95 (×3), 115 (×3), 71 (×3), 111 (×3), 81 (×3), 118 (×3), 76 (×3), 84 (×3), 102 (×2), 87 (×2), 126 (×2), 80 (×2), 75 (×2), 86 (×2), 122 (×2), 116 (×2), 121 (×2), 112 (×2), 100 (×2), 54 (×2), 177 (×2), 64 (×2), 128 (×2), 89 (×2), 113 (×2), 110 (×2), 60 (×2), 97 (×1), 69 (×1), 65 (×1), 94 (×1), 91 (×1), 92 (×1)
Sampling rate (Hz) 512 (×71), 2048 (×32), 2000 (×4)
Total duration (h) 9.2
Size on disk 15.2 GB
Recording type IEEG
Experimental modality Multisensory
Paradigm type Perception
Population Epilepsy
Source openneuro
License CC0
NEMAR citations 9.0

Links


Auto-generated from dataset_summary.csv and the EEGDash API. Do not edit this file by hand — update the upstream source and re-run scripts/push_metadata_stubs.py.

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