metadata
pretty_name: Color Change Detection Task
license: cc0-1.0
tags:
- ieeg
- neuroscience
- eegdash
- brain-computer-interface
- pytorch
- visual
- memory
size_categories:
- n<1K
task_categories:
- other
Color Change Detection Task
Dataset ID: ds005624
DS5624_ColorChangeDetection
At a glance: IEEG · Visual memory · unknown · 24 subjects · 35 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="ds005624", 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/ds005624")
Dataset metadata
| Subjects | 24 |
| Recordings | 35 |
| Tasks (count) | 1 |
| Channels | 74 (×4), 223 (×3), 172 (×3), 95 (×2), 162 (×2), 111 (×2), 152 (×2), 115 (×2), 151 (×2), 100 (×2), 205 (×1), 189 (×1), 191 (×1), 228 (×1), 173 (×1), 101 (×1), 118 (×1), 127 (×1), 128 (×1), 123 (×1), 166 (×1) |
| Sampling rate (Hz) | 512 (×26), 1024 (×9) |
| Total duration (h) | 11.4 |
| Size on disk | 13.8 GB |
| Recording type | IEEG |
| Experimental modality | Visual |
| Paradigm type | Memory |
| Population | Unknown |
| Source | openneuro |
| License | CC0 |
| NEMAR citations | 0.0 |
Links
- DOI: 10.18112/openneuro.ds005624.v1.0.0
- OpenNeuro: ds005624
- 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.