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ds002833
DataSet2
openneuro
https://openneuro.org/datasets/ds002833
10.18112/openneuro.ds002833.v1.0.0
CC0
{ "library": "eegdash", "class": "EEGDashDataset", "kwargs": { "dataset": "ds002833" } }
https://huggingface.co/spaces/EEGDash/catalog
huggingface-space/scripts/push_metadata_stubs.py

DataSet2

Dataset ID: ds002833

Mheich2020_DataSet2

Canonical aliases: Mheich2024

At a glance: EEG · Visual other · healthy · 20 subjects · 80 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="ds002833", 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 Mheich2024
ds = Mheich2024(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/ds002833")

Dataset metadata

Subjects 20
Recordings 80
Tasks (count) 1
Channels 257 (×80)
Sampling rate (Hz) 1000 (×80)
Total duration (h) 11.6
Size on disk 39.8 GB
Recording type EEG
Experimental modality Visual
Paradigm type Other
Population Healthy
Source openneuro
License CC0
NEMAR citations 0.0

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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