Datasets:

File size: 2,721 Bytes
47b7701
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
---
pretty_name: "Free Recall with Open-Loop Stimulation at Encoding"
license: cc0-1.0
tags:
  - ieeg
  - neuroscience
  - eegdash
  - brain-computer-interface
  - pytorch
  - visual
  - memory
size_categories:
  - n<1K
task_categories:
  - other
---

# Free Recall with Open-Loop Stimulation at Encoding

**Dataset ID:** `ds005489`

_Herrema2024_Free_Recall_

> **At a glance:** IEEG · Visual memory · unknown · 37 subjects · 154 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="ds005489", 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/ds005489")
```


## Dataset metadata

| | |
|---|---|
| **Subjects** | 37 |
| **Recordings** | 154 |
| **Tasks (count)** | 1 |
| **Channels** | 100 (×12), 64 (×10), 141 (×9), 118 (×8), 96 (×8), 136 (×7), 109 (×7), 88 (×6), 68 (×6), 72 (×6), 87 (×4), 126 (×4), 75 (×4), 56 (×4), 110 (×4), 70 (×4), 93 (×3), 156 (×3), 76 (×3), 85 (×3), 74 (×3), 58 (×3), 120 (×3), 104 (×2), 124 (×2), 112 (×2), 134 (×2), 128 (×2), 80 (×2), 138 (×2), 99 (×2), 123 (×2), 108 (×2), 18 (×1), 163 (×1), 14 (×1), 20 (×1), 83 (×1), 101 (×1), 97 (×1), 114 (×1), 177 (×1), 16 (×1) |
| **Sampling rate (Hz)** | 500 (×90), 1000 (×46), 1600 (×10), 513 (×4), 256 (×2), 499.7071 (×2) |
| **Total duration (h)** | 138.2 |
| **Size on disk** | 64.9 GB |
| **Recording type** | IEEG |
| **Experimental modality** | Visual |
| **Paradigm type** | Memory |
| **Population** | Unknown |
| **Source** | openneuro |
| **License** | CC0 |
| **NEMAR citations** | 0.0 |

## Links

- **DOI:** [10.18112/openneuro.ds005489.v1.0.3](https://doi.org/10.18112/openneuro.ds005489.v1.0.3)
- **OpenNeuro:** [ds005489](https://openneuro.org/datasets/ds005489)
- **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/ds005489). Do not edit this file by hand — update the upstream source and re-run `scripts/push_metadata_stubs.py`._