Datasets:

EEGDash
/

ds004572

pretty_name: The effects of sham hypnosis techniques
license: cc0-1.0
tags:
  - eeg
  - neuroscience
  - eegdash
  - brain-computer-interface
  - pytorch
  - auditory
  - other
size_categories:
  - n<1K
task_categories:
  - other

The effects of sham hypnosis techniques

Dataset ID: ds004572

Kekecs2023

Canonical aliases: Kekecs2024

At a glance: EEG · Auditory other · healthy · 52 subjects · 516 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="ds004572", 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 Kekecs2024
ds = Kekecs2024(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/ds004572")

Dataset metadata


Subjects	52
Recordings	516
Tasks (count)	10
Channels	61 (×516)
Sampling rate (Hz)	1000 (×516)
Total duration (h)	53.2
Size on disk	43.6 GB
Recording type	EEG
Experimental modality	Auditory
Paradigm type	Other
Population	Healthy
Source	openneuro
License	CC0
NEMAR citations	2.0

The effects of sham hypnosis techniques

Load this dataset

Dataset metadata

Links