Datasets:

nm000238 / README.md
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Metadata stub for nm000238
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metadata
pretty_name: >-
  SparrKULee: A Speech-Evoked Auditory Response Repository from KU Leuven,
  Containing the EEG of 85 Participants
license: cc-by-nc-4.0
tags:
  - eeg
  - neuroscience
  - eegdash
  - brain-computer-interface
  - pytorch
size_categories:
  - 1K<n<10K
task_categories:
  - other

SparrKULee: A Speech-Evoked Auditory Response Repository from KU Leuven, Containing the EEG of 85 Participants

Dataset ID: nm000238

Accou2024

At a glance: EEG · 87 subjects · 4088 recordings · Attribution-NonCommercial 4.0 International License (CC BY-NC 4.0) for the EEG data. Stimuli can only be used for non-commercial purposes.

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="nm000238", 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/nm000238")

Dataset metadata

Subjects 87
Recordings 4088
Tasks (count) 366
Channels 64 (×1)
Sampling rate (Hz) 8192 (×1)
Size on disk Unknown
Recording type EEG
Source nemar
License Attribution-NonCommercial 4.0 International License (CC BY-NC 4.0) for the EEG data. Stimuli can only be used for non-commercial purposes.

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.