Datasets:

ds006940 / README.md
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Metadata stub for ds006940
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metadata
pretty_name: >-
  Dataset: EEG-Controlled Exoskeleton for Walking and Standing - A Longitudinal
  Study of Healthy Individuals
license: cc0-1.0
tags:
  - eeg
  - neuroscience
  - eegdash
  - brain-computer-interface
  - pytorch
  - motor
size_categories:
  - n<1K
task_categories:
  - other

Dataset: EEG-Controlled Exoskeleton for Walking and Standing - A Longitudinal Study of Healthy Individuals

Dataset ID: ds006940

Sarkar2025_StudyOF

At a glance: EEG · Motor motor · healthy · 7 subjects · 935 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="ds006940", 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/ds006940")

Dataset metadata

Subjects 7
Recordings 935
Tasks (count) 15
Channels 64 (×935)
Sampling rate (Hz) 100 (×935)
Total duration (h) 34.0
Size on disk 3.6 GB
Recording type EEG
Experimental modality Motor
Paradigm type Motor
Population Healthy
Source openneuro
License CC0

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.