---
pretty_name: "Categorized Free Recall with Open-Loop Stimulation at Encoding"
license: cc0-1.0
tags:
  - ieeg
  - neuroscience
  - eegdash
  - brain-computer-interface
  - pytorch
  - visual
  - clinical-intervention
size_categories:
  - n<1K
task_categories:
  - other
---

# Categorized Free Recall with Open-Loop Stimulation at Encoding

**Dataset ID:** `ds005491`

_Herrema2024_Categorized_

**Canonical aliases:** `catFR_open_loop` · `RAM_catFR` · `catFR_stim`

> **At a glance:** IEEG · Visual clinical/intervention · unknown · 19 subjects · 51 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="ds005491", 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 catFR_open_loop
ds = catFR_open_loop(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/ds005491")
```


## Dataset metadata

| | |
|---|---|
| **Subjects** | 19 |
| **Recordings** | 51 |
| **Tasks (count)** | 1 |
| **Channels** | 64 (×5), 126 (×5), 88 (×4), 85 (×3), 93 (×3), 113 (×2), 163 (×2), 104 (×2), 155 (×2), 133 (×2), 116 (×2), 119 (×1), 72 (×1), 68 (×1), 92 (×1), 96 (×1), 127 (×1), 177 (×1), 146 (×1), 78 (×1), 128 (×1), 124 (×1), 110 (×1), 70 (×1), 80 (×1), 14 (×1), 115 (×1), 130 (×1), 112 (×1), 16 (×1) |
| **Sampling rate (Hz)** | 500 (×39), 1600 (×6), 999 (×4), 1000 (×2) |
| **Total duration (h)** | 46.7 |
| **Size on disk** | 22.5 GB |
| **Recording type** | IEEG |
| **Experimental modality** | Visual |
| **Paradigm type** | Clinical/Intervention |
| **Population** | Unknown |
| **Source** | openneuro |
| **License** | CC0 |
| **NEMAR citations** | 0.0 |

## Links

- **DOI:** [10.18112/openneuro.ds005491.v1.0.0](https://doi.org/10.18112/openneuro.ds005491.v1.0.0)
- **OpenNeuro:** [ds005491](https://openneuro.org/datasets/ds005491)
- **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/ds005491). Do not edit this file by hand — update the upstream source and re-run `scripts/push_metadata_stubs.py`._