EEGDash/nm000272

romani-bf2025-erp - NEMAR Dataset

Dataset ID: nm000272

Romani2025_BF_ERP

Canonical aliases: Romani2025_erp

At a glance: EEG · Visual attention · unknown · 22 subjects · 1022 recordings · Unknown

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="nm000272", 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 Romani2025_erp
ds = Romani2025_erp(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/nm000272")

Dataset metadata

Subjects	22
Recordings	1022
Tasks (count)	3
Channels	8 (×120)
Sampling rate (Hz)	250 (×120)
Total duration (h)	6.3
Size on disk	Unknown
Recording type	EEG
Experimental modality	Visual
Paradigm type	Attention
Population	Unknown
Source	nemar
License	Unknown

Links

• NEMAR: nm000272
• Browse 700+ datasets: EEGDash catalog
• Docs: https://eegdash.org
• Code: https://github.com/eegdash/EEGDash

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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.