Datasets:

EEGDash
/

ds006840

pretty_name: 'IACKD: Intention Action Conflict EEG-Hand Kinematics Dataset'
license: cc0-1.0
tags:
  - eeg
  - neuroscience
  - eegdash
  - brain-computer-interface
  - pytorch
  - motor
size_categories:
  - n<1K
task_categories:
  - other

IACKD: Intention Action Conflict EEG-Hand Kinematics Dataset

Dataset ID: ds006840

Cai2025

Canonical aliases: IACKD

At a glance: EEG · Motor motor · healthy · 15 subjects · 128 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="ds006840", 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 IACKD
ds = IACKD(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/ds006840")

Dataset metadata


Subjects	15
Recordings	128
Tasks (count)	1
Channels	29 (×96), 31 (×32)
Sampling rate (Hz)	1024 (×128)
Total duration (h)	14.8
Size on disk	6.0 GB
Recording type	EEG
Experimental modality	Motor
Paradigm type	Motor
Population	Healthy
Source	openneuro
License	CC0

IACKD: Intention Action Conflict EEG-Hand Kinematics Dataset

Load this dataset

Dataset metadata

Links