Datasets:

EEGDash
/

ds004661

pretty_name: ANDI
license: cc0-1.0
tags:
  - eeg
  - neuroscience
  - eegdash
  - brain-computer-interface
  - pytorch
  - multisensory
  - attention
size_categories:
  - n<1K
task_categories:
  - other

ANDI

Dataset ID: ds004661

Johnson2023_ANDI

Canonical aliases: ANDI

At a glance: EEG · Multisensory attention · healthy · 17 subjects · 17 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="ds004661", 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 ANDI
ds = ANDI(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/ds004661")

Dataset metadata


Subjects	17
Recordings	17
Tasks (count)	1
Channels	64 (×17)
Sampling rate (Hz)	128 (×17)
Total duration (h)	10.1
Size on disk	1.4 GB
Recording type	EEG
Experimental modality	Multisensory
Paradigm type	Attention
Population	Healthy
Source	openneuro
License	CC0
NEMAR citations	0.0

ANDI

Load this dataset

Dataset metadata

Links