Datasets:

EEGDash
/

ds004774

pretty_name: Automatic Evoked Response Detection (ER-Detect) dataset
license: cc0-1.0
tags:
  - ieeg
  - neuroscience
  - eegdash
  - brain-computer-interface
  - pytorch
  - other
  - clinical-intervention
  - epilepsy
size_categories:
  - n<1K
task_categories:
  - other

Automatic Evoked Response Detection (ER-Detect) dataset

Dataset ID: ds004774

Boom2023

Canonical aliases: ERDetect · ER_Detect

At a glance: IEEG · Other clinical/intervention · epilepsy · 14 subjects · 14 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="ds004774", cache_dir="./cache")
print(len(ds), "recordings")

You can also load it by canonical alias — these are registered classes in eegdash.dataset:

from eegdash.dataset import ERDetect
ds = ERDetect(cache_dir="./cache")

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/ds004774")

Dataset metadata


Subjects	14
Recordings	14
Tasks (count)	2
Channels	133 (×6), 68 (×2), 39 (×2), 130 (×1), 97 (×1), 89 (×1), 65 (×1)
Sampling rate (Hz)	2048 (×14)
Total duration (h)	11.9
Size on disk	24.8 GB
Recording type	IEEG
Experimental modality	Other
Paradigm type	Clinical/Intervention
Population	Epilepsy
Source	openneuro
License	CC0

Automatic Evoked Response Detection (ER-Detect) dataset

Load this dataset

Dataset metadata

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