metadata
pretty_name: Expectation of Conflict Stimuli
license: cc0-1.0
tags:
- eeg
- neuroscience
- eegdash
- brain-computer-interface
- pytorch
- unknown
- attention
size_categories:
- n<1K
task_categories:
- other
Expectation of Conflict Stimuli
Dataset ID: ds005571
MartinezMolina2024
At a glance: EEG · Unknown attention · healthy · 24 subjects · 45 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="ds005571", cache_dir="./cache")
print(len(ds), "recordings")
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/ds005571")
Dataset metadata
| Subjects | 24 |
| Recordings | 45 |
| Tasks (count) | 2 |
| Channels | 66 (×41), 67 (×4) |
| Sampling rate (Hz) | 5000 (×45) |
| Total duration (h) | 28.2 |
| Size on disk | 63.3 GB |
| Recording type | EEG |
| Experimental modality | Unknown |
| Paradigm type | Attention |
| Population | Healthy |
| Source | openneuro |
| License | CC0 |
| NEMAR citations | 1.0 |
Links
- DOI: 10.18112/openneuro.ds005571.v1.0.1
- OpenNeuro: ds005571
- 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.