Datasets:

EEGDash
/

ds007081

pretty_name: >-
  Passive but accessible:  Studied information is not actively stored in working
  memory, yet attended regardless of anticipated load
license: cc0-1.0
tags:
  - eeg
  - neuroscience
  - eegdash
  - brain-computer-interface
  - pytorch
  - visual
  - memory
size_categories:
  - n<1K
task_categories:
  - other

Passive but accessible: Studied information is not actively stored in working memory, yet attended regardless of anticipated load

Dataset ID: ds007081

Ylmaz2025

At a glance: EEG · Visual memory · healthy · 41 subjects · 41 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="ds007081", 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/ds007081")

Dataset metadata


Subjects	41
Recordings	41
Tasks (count)	1
Channels	32 (×41)
Sampling rate (Hz)	1000 (×41)
Total duration (h)	26.3
Size on disk	11.3 GB
Recording type	EEG
Experimental modality	Visual
Paradigm type	Memory
Population	Healthy
Source	openneuro
License	CC0

Passive but accessible: Studied information is not actively stored in working memory, yet attended regardless of anticipated load

Load this dataset

Dataset metadata

Links