Datasets:

ds005624 / README.md
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Metadata stub for ds005624
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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


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.