Datasets:

ds003498 / README.md
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Metadata stub for ds003498
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metadata
pretty_name: interictal iEEG during slow-wave sleep with HFO markings
license: cc0-1.0
tags:
  - ieeg
  - neuroscience
  - eegdash
  - brain-computer-interface
  - pytorch
  - resting-state
  - clinical-intervention
  - epilepsy
size_categories:
  - n<1K
task_categories:
  - other

interictal iEEG during slow-wave sleep with HFO markings

Dataset ID: ds003498

Fedele2021

At a glance: IEEG · Resting State clinical/intervention · epilepsy · 20 subjects · 385 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="ds003498", 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/ds003498")

Dataset metadata

Subjects 20
Recordings 385
Channels 64 (×146), 40 (×73), 42 (×43), 74 (×35), 16 (×29), 50 (×28), 52 (×13), 48 (×13), 30 (×5)
Sampling rate (Hz) 2000 (×385)
Total duration (h) 32.3
Size on disk 44.7 GB
Recording type IEEG
Experimental modality Resting State
Paradigm type Clinical/Intervention
Population Epilepsy
Source openneuro
License CC0
NEMAR citations 3.0

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.