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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`._
|