| pretty_name: "Delayed Free Recall of Word Lists" | |
| license: cc0-1.0 | |
| tags: | |
| - ieeg | |
| - neuroscience | |
| - eegdash | |
| - brain-computer-interface | |
| - pytorch | |
| - visual | |
| - memory | |
| - epilepsy | |
| size_categories: | |
| - n<1K | |
| task_categories: | |
| - other | |
| # Delayed Free Recall of Word Lists | |
| **Dataset ID:** `ds004789` | |
| _Herrema2023_Delayed_Free_Recall_ | |
| > **At a glance:** IEEG · Visual memory · epilepsy · 273 subjects · 983 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="ds004789", 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/ds004789") | |
| ``` | |
| ## Dataset metadata | |
| | | | | |
| |---|---| | |
| | **Subjects** | 273 | | |
| | **Recordings** | 983 | | |
| | **Tasks (count)** | 1 | | |
| | **Channels** | 126 (×87), 108 (×32), 112 (×32), 110 (×31), 88 (×29), 120 (×28), 128 (×28), 127 (×24), 116 (×22), 124 (×21), 196 (×20), 109 (×19), 111 (×18), 106 (×17), 100 (×17), 113 (×16), 125 (×15), 86 (×14), 107 (×13), 64 (×13), 60 (×13), 158 (×12), 118 (×12), 68 (×11), 104 (×11), 178 (×10), 76 (×10), 180 (×10), 122 (×10), 121 (×10), 102 (×9), 80 (×9), 142 (×9), 56 (×9), 153 (×8), 97 (×8), 140 (×8), 75 (×8), 188 (×7), 114 (×7), 62 (×7), 85 (×7), 146 (×7), 172 (×7), 130 (×7), 148 (×7), 90 (×7), 83 (×7), 92 (×6), 72 (×6), 162 (×6), 168 (×6), 139 (×6), 173 (×6), 70 (×6), 134 (×6), 78 (×6), 96 (×5), 74 (×5), 206 (×5), 93 (×5), 165 (×5), 141 (×5), 160 (×5), 84 (×4), 161 (×4), 203 (×4), 119 (×4), 136 (×4), 177 (×4), 224 (×4), 54 (×4), 200 (×4), 46 (×4), 123 (×4), 208 (×3), 186 (×3), 50 (×3), 176 (×3), 37 (×3), 212 (×3), 138 (×3), 59 (×3), 94 (×3), 99 (×3), 154 (×3), 103 (×3), 152 (×3), 166 (×3), 133 (×3), 69 (×3), 151 (×2), 170 (×2), 95 (×2), 58 (×2), 55 (×2), 184 (×2), 218 (×2), 213 (×2), 36 (×2), 156 (×2), 52 (×2), 67 (×2), 179 (×2), 87 (×2), 182 (×2), 105 (×2), 149 (×2), 43 (×2), 26 (×2), 77 (×1), 53 (×1), 101 (×1), 190 (×1), 16 (×1), 129 (×1), 98 (×1), 202 (×1), 14 (×1), 209 (×1), 216 (×1), 48 (×1), 195 (×1), 175 (×1), 229 (×1), 73 (×1), 65 (×1), 215 (×1), 131 (×1), 38 (×1), 63 (×1) | | |
| | **Sampling rate (Hz)** | 1000 (×785), 500 (×119), 1600 (×32), 999 (×19), 499.7071 (×16), 2000 (×6), 1024 (×4), 512 (×2) | | |
| | **Total duration (h)** | 776.5 | | |
| | **Size on disk** | 576.3 GB | | |
| | **Recording type** | IEEG | | |
| | **Experimental modality** | Visual | | |
| | **Paradigm type** | Memory | | |
| | **Population** | Epilepsy | | |
| | **Source** | openneuro | | |
| | **License** | CC0 | | |
| | **NEMAR citations** | 3.0 | | |
| ## Links | |
| - **DOI:** [10.18112/openneuro.ds004789.v3.1.0](https://doi.org/10.18112/openneuro.ds004789.v3.1.0) | |
| - **OpenNeuro:** [ds004789](https://openneuro.org/datasets/ds004789) | |
| - **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/ds004789). Do not edit this file by hand — update the upstream source and re-run `scripts/push_metadata_stubs.py`._ | |