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ds006502
Skill learning and consolidation in healthy humans
openneuro
https://openneuro.org/datasets/ds006502
10.18112/openneuro.ds006502.v1.0.0
CC0
{ "library": "eegdash", "class": "EEGDashDataset", "kwargs": { "dataset": "ds006502" } }
https://huggingface.co/spaces/EEGDash/catalog
huggingface-space/scripts/push_metadata_stubs.py

Skill learning and consolidation in healthy humans

Dataset ID: ds006502

Bonstrup2025

At a glance: MEG · Visual learning · healthy · 31 subjects · 380 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="ds006502", 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/ds006502")

Dataset metadata

Subjects 31
Recordings 380
Tasks (count) 4
Channels 307 (×204), 308 (×101), 310 (×51), 306 (×24)
Sampling rate (Hz) 600 (×380)
Total duration (h) 37.9
Size on disk 95.8 GB
Recording type MEG
Experimental modality Visual
Paradigm type Learning
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.

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