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ds004703
sEEG Passive listening to natural speech
openneuro
https://openneuro.org/datasets/ds004703
10.18112/openneuro.ds004703.v1.1.0
CC0
{ "library": "eegdash", "class": "EEGDashDataset", "kwargs": { "dataset": "ds004703" } }
https://huggingface.co/spaces/EEGDash/catalog
huggingface-space/scripts/push_metadata_stubs.py

sEEG Passive listening to natural speech

Dataset ID: ds004703

Mai2023

At a glance: IEEG · Auditory memory · surgery · 10 subjects · 11 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="ds004703", 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/ds004703")

Dataset metadata

Subjects 10
Recordings 11
Tasks (count) 1
Channels 148 (×4), 279 (×2), 276 (×2), 277 (×2), 280 (×1)
Sampling rate (Hz) 1024 (×7), 512 (×4)
Total duration (h) 9.1
Size on disk 12.4 GB
Recording type IEEG
Experimental modality Auditory
Paradigm type Memory
Population Surgery
Source openneuro
License CC0
NEMAR citations 2.0

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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