metadata
pretty_name: 'LEMON: MPI Leipzig Mind-Brain-Body EEG (Resting State)'
license: cc-by-4.0
tags:
- eeg
- neuroscience
- eegdash
- brain-computer-interface
- pytorch
size_categories:
- n<1K
task_categories:
- other
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
- DOI: 10.1038/sdata.2018.308
- NEMAR: nm000179
- Browse 700+ datasets: EEGDash catalog
- Docs: https://eegdash.org
- Code: https://github.com/eegdash/EEGDash
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.