File size: 2,691 Bytes
f4cbafd | 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 80 | ---
pretty_name: "Spatial Memory of Object Locations with Open-Loop Stimulation at Encoding"
license: cc0-1.0
tags:
- ieeg
- neuroscience
- eegdash
- brain-computer-interface
- pytorch
- visual
- memory
- surgery
size_categories:
- n<1K
task_categories:
- other
---
# Spatial Memory of Object Locations with Open-Loop Stimulation at Encoding
**Dataset ID:** `ds005523`
_Herrema2024_Spatial_Memory_
> **At a glance:** IEEG · Visual memory · surgery · 21 subjects · 102 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="ds005523", 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/ds005523")
```
## Dataset metadata
| | |
|---|---|
| **Subjects** | 21 |
| **Recordings** | 102 |
| **Tasks (count)** | 1 |
| **Channels** | 166 (×7), 144 (×7), 180 (×7), 182 (×7), 126 (×6), 156 (×5), 56 (×5), 50 (×5), 118 (×4), 109 (×4), 141 (×4), 68 (×3), 64 (×3), 133 (×3), 138 (×2), 87 (×2), 104 (×2), 120 (×2), 108 (×2), 123 (×2), 76 (×2), 85 (×2), 174 (×2), 94 (×2), 100 (×2), 163 (×1), 110 (×1), 173 (×1), 124 (×1), 188 (×1), 88 (×1), 143 (×1), 92 (×1), 80 (×1), 112 (×1) |
| **Sampling rate (Hz)** | 1000 (×58), 1600 (×22), 500 (×18), 999 (×2), 499.7071 (×2) |
| **Total duration (h)** | 84.3 |
| **Size on disk** | 69.7 GB |
| **Recording type** | IEEG |
| **Experimental modality** | Visual |
| **Paradigm type** | Memory |
| **Population** | Surgery |
| **Source** | openneuro |
| **License** | CC0 |
| **NEMAR citations** | 0.0 |
## Links
- **DOI:** [10.18112/openneuro.ds005523.v1.0.1](https://doi.org/10.18112/openneuro.ds005523.v1.0.1)
- **OpenNeuro:** [ds005523](https://openneuro.org/datasets/ds005523)
- **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/ds005523). Do not edit this file by hand — update the upstream source and re-run `scripts/push_metadata_stubs.py`._
|