metadata
pretty_name: P300 dataset BI2015a from a "Brain Invaders" experiment
license: cc-by-4.0
tags:
- eeg
- neuroscience
- eegdash
- brain-computer-interface
- pytorch
- visual
- perception
size_categories:
- n<1K
task_categories:
- other
P300 dataset BI2015a from a "Brain Invaders" experiment
Dataset ID: nm000216
Korczowski2015_P300
Canonical aliases: BrainInvaders2015a · BI2015a
At a glance: EEG · Visual perception · healthy · 43 subjects · 129 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="nm000216", 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 BrainInvaders2015a
ds = BrainInvaders2015a(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/nm000216")
Dataset metadata
| Subjects | 43 |
| Recordings | 129 |
| Tasks (count) | 1 |
| Channels | 32 (×129) |
| Sampling rate (Hz) | 512 (×129) |
| Total duration (h) | 11.7 |
| Size on disk | 1.9 GB |
| Recording type | EEG |
| Experimental modality | Visual |
| Paradigm type | Perception |
| Population | Healthy |
| Source | nemar |
| License | CC-BY-4.0 |
Links
- NEMAR: nm000216
- 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.