| --- |
| pretty_name: "EEG data during three near-threshold visual detection tasks: a no-cue task, a noninformative cue task (50% validity), and an informative cue task (100% validity)" |
| license: cc0-1.0 |
| tags: |
| - eeg |
| - neuroscience |
| - eegdash |
| - brain-computer-interface |
| - pytorch |
| - visual |
| - attention |
| size_categories: |
| - n<1K |
| task_categories: |
| - other |
| --- |
| |
| # EEG data during three near-threshold visual detection tasks: a no-cue task, a noninformative cue task (50% validity), and an informative cue task (100% validity) |
|
|
| **Dataset ID:** `ds006171` |
|
|
| _Melcon2025_ |
|
|
| **Canonical aliases:** `Melcon2024` |
|
|
| > **At a glance:** EEG · Visual attention · healthy · 36 subjects · 104 recordings · CC0 |
|
|
| ## Load this dataset |
|
|
| This repo is a **pointer**. The raw EEG data lives at its canonical source |
| (OpenNeuro / NEMAR); [EEGDash](https://github.com/eegdash/EEGDash) streams it |
| on demand and returns a PyTorch / braindecode dataset. |
|
|
| ```python |
| # pip install eegdash |
| from eegdash import EEGDashDataset |
| |
| ds = EEGDashDataset(dataset="ds006171", cache_dir="./cache") |
| print(len(ds), "recordings") |
| ``` |
|
|
| You can also load it by canonical alias — these are registered classes in `eegdash.dataset`: |
|
|
| ```python |
| from eegdash.dataset import Melcon2024 |
| ds = Melcon2024(cache_dir="./cache") |
| ``` |
|
|
| If the dataset has been mirrored to the HF Hub in braindecode's Zarr layout, |
| you can also pull it directly: |
|
|
| ```python |
| from braindecode.datasets import BaseConcatDataset |
| ds = BaseConcatDataset.pull_from_hub("EEGDash/ds006171") |
| ``` |
|
|
|
|
| ## Dataset metadata |
|
|
| | | | |
| |---|---| |
| | **Subjects** | 36 | |
| | **Recordings** | 104 | |
| | **Tasks (count)** | 3 | |
| | **Channels** | 144 (×104) | |
| | **Sampling rate (Hz)** | 1024 (×104) | |
| | **Total duration (h)** | 40.9 | |
| | **Size on disk** | 67.8 GB | |
| | **Recording type** | EEG | |
| | **Experimental modality** | Visual | |
| | **Paradigm type** | Attention | |
| | **Population** | Healthy | |
| | **Source** | openneuro | |
| | **License** | CC0 | |
|
|
| ## Links |
|
|
| - **DOI:** [10.18112/openneuro.ds006171.v1.0.0](https://doi.org/10.18112/openneuro.ds006171.v1.0.0) |
| - **OpenNeuro:** [ds006171](https://openneuro.org/datasets/ds006171) |
| - **Browse 700+ datasets:** [EEGDash catalog](https://huggingface.co/spaces/EEGDash/catalog) |
| - **Docs:** <https://eegdash.org> |
| - **Code:** <https://github.com/eegdash/EEGDash> |
|
|
| --- |
|
|
| _Auto-generated from [dataset_summary.csv](https://github.com/eegdash/EEGDash/blob/main/eegdash/dataset/dataset_summary.csv) and the [EEGDash API](https://data.eegdash.org/api/eegdash/datasets/summary/ds006171). Do not edit this file by hand — update the upstream source and re-run `scripts/push_metadata_stubs.py`._ |
|
|
