metadata
pretty_name: sEEG Passive listening to natural speech
license: cc0-1.0
tags:
- ieeg
- neuroscience
- eegdash
- brain-computer-interface
- pytorch
- auditory
- memory
- surgery
size_categories:
- n<1K
task_categories:
- other
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
- DOI: 10.18112/openneuro.ds004703.v1.1.0
- OpenNeuro: ds004703
- Browse 700+ datasets: EEGDash catalog
- Docs: https://eegdash.org
- Code: https://github.com/eegdash/EEGDash
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.