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nm000179
LEMON: MPI Leipzig Mind-Brain-Body EEG (Resting State)
nemar
https://openneuro.org/datasets/nm000179
10.1038/sdata.2018.308
CC BY 4.0
{ "library": "eegdash", "class": "EEGDashDataset", "kwargs": { "dataset": "nm000179" } }
https://huggingface.co/spaces/EEGDash/catalog
huggingface-space/scripts/push_metadata_stubs.py

LEMON: MPI Leipzig Mind-Brain-Body EEG (Resting State)

Dataset ID: nm000179

Babayan2018

Canonical aliases: LEMON

At a glance: EEG · 215 subjects · 215 recordings · CC BY 4.0

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="nm000179", 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 LEMON
ds = LEMON(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/nm000179")

Dataset metadata

Subjects 215
Recordings 215
Tasks (count) 1
Channels 62 (×215)
Sampling rate (Hz) 2500 (×208), 1000 (×6), 500 (×1)
Total duration (h) 62.4
Size on disk 126.9 GB
Recording type EEG
Source nemar
License CC BY 4.0

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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