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ds005170
Chisco
openneuro
https://openneuro.org/datasets/ds005170
10.18112/openneuro.ds005170.v1.1.2
CC0
{ "library": "eegdash", "class": "EEGDashDataset", "kwargs": { "dataset": "ds005170" } }
https://huggingface.co/spaces/EEGDash/catalog
huggingface-space/scripts/push_metadata_stubs.py

Chisco

Dataset ID: ds005170

Zhang2024_Chisco

Canonical aliases: Chisco

At a glance: EEG · Visual motor · healthy · 5 subjects · 225 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="ds005170", 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 Chisco
ds = Chisco(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/ds005170")

Dataset metadata

Subjects 5
Recordings 225
Tasks (count) 1
Channels 134 (×1)
Total duration (h) 104.3
Size on disk 90.7 GB
Recording type EEG
Experimental modality Visual
Paradigm type Motor
Population Healthy
Source openneuro
License CC0
NEMAR citations 1.0

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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