| --- |
| pretty_name: "Free Recall of Word Lists with Repeated Items" |
| license: cc0-1.0 |
| tags: |
| - ieeg |
| - neuroscience |
| - eegdash |
| - brain-computer-interface |
| - pytorch |
| - visual |
| - memory |
| - epilepsy |
| size_categories: |
| - n<1K |
| task_categories: |
| - other |
| --- |
| |
| # Free Recall of Word Lists with Repeated Items |
|
|
| **Dataset ID:** `ds005411` |
|
|
| _Herrema2024_Free_ |
|
|
| > **At a glance:** IEEG · Visual memory · epilepsy · 47 subjects · 193 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="ds005411", 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: |
|
|
| ```python |
| from braindecode.datasets import BaseConcatDataset |
| ds = BaseConcatDataset.pull_from_hub("EEGDash/ds005411") |
| ``` |
|
|
|
|
| ## Dataset metadata |
|
|
| | | | |
| |---|---| |
| | **Subjects** | 47 | |
| | **Recordings** | 193 | |
| | **Tasks (count)** | 1 | |
| | **Channels** | 120 (×12), 118 (×10), 109 (×9), 153 (×7), 168 (×7), 122 (×6), 116 (×6), 126 (×6), 110 (×6), 182 (×5), 106 (×5), 192 (×4), 115 (×4), 169 (×4), 211 (×4), 108 (×4), 200 (×4), 167 (×4), 134 (×4), 155 (×4), 152 (×4), 133 (×3), 132 (×3), 105 (×3), 127 (×3), 141 (×3), 121 (×3), 184 (×2), 166 (×2), 44 (×2), 55 (×2), 186 (×2), 213 (×2), 187 (×2), 99 (×2), 173 (×2), 181 (×2), 96 (×2), 160 (×2), 94 (×2), 195 (×2), 140 (×2), 84 (×2), 154 (×1), 98 (×1), 230 (×1), 107 (×1), 159 (×1), 111 (×1), 138 (×1), 236 (×1), 123 (×1), 158 (×1), 210 (×1), 202 (×1), 128 (×1), 101 (×1), 232 (×1), 176 (×1), 165 (×1), 218 (×1), 239 (×1), 104 (×1), 142 (×1), 119 (×1), 215 (×1), 129 (×1) | |
| | **Sampling rate (Hz)** | 1000 (×150), 2048 (×21), 2000 (×10), 512 (×8), 1024 (×4) | |
| | **Total duration (h)** | 140.0 | |
| | **Size on disk** | 157.4 GB | |
| | **Recording type** | IEEG | |
| | **Experimental modality** | Visual | |
| | **Paradigm type** | Memory | |
| | **Population** | Epilepsy | |
| | **Source** | openneuro | |
| | **License** | CC0 | |
| | **NEMAR citations** | 0.0 | |
|
|
| ## Links |
|
|
| - **DOI:** [10.18112/openneuro.ds005411.v1.0.0](https://doi.org/10.18112/openneuro.ds005411.v1.0.0) |
| - **OpenNeuro:** [ds005411](https://openneuro.org/datasets/ds005411) |
| - **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/ds005411). Do not edit this file by hand — update the upstream source and re-run `scripts/push_metadata_stubs.py`._ |
|
|
