File size: 2,472 Bytes
87beafa | 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 81 82 | ---
pretty_name: "Wang et al. 2024 — Brain Treebank: Large-scale intracranial recordings from naturalistic language stimuli"
license: cc-by-4.0
tags:
- ieeg
- neuroscience
- eegdash
- brain-computer-interface
- pytorch
size_categories:
- n<1K
task_categories:
- other
---
# Wang et al. 2024 — Brain Treebank: Large-scale intracranial recordings from naturalistic language stimuli
**Dataset ID:** `nm000253`
_Wang2024_et_al_Brain_
**Canonical aliases:** `BrainTreeBank`
> **At a glance:** IEEG · 10 subjects · 26 recordings · CC BY 4.0
## 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="nm000253", 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 BrainTreeBank
ds = BrainTreeBank(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/nm000253")
```
## Dataset metadata
| | |
|---|---|
| **Subjects** | 10 |
| **Recordings** | 26 |
| **Tasks (count)** | 1 |
| **Channels** | 164 (×8), 156 (×3), 166 (×3), 190 (×3), 136 (×3), 248 (×2), 218 (×2), 108 (×1), 158 (×1) |
| **Sampling rate (Hz)** | 2048 (×26) |
| **Total duration (h)** | 1.8 |
| **Size on disk** | 257.3 GB |
| **Recording type** | IEEG |
| **Source** | nemar |
| **License** | CC BY 4.0 |
## Links
- **DOI:** [10.48550/arXiv.2411.08343](https://doi.org/10.48550/arXiv.2411.08343)
- **NEMAR:** [nm000253](https://nemar.org/dataexplorer/detail?dataset_id=nm000253)
- **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/nm000253). Do not edit this file by hand — update the upstream source and re-run `scripts/push_metadata_stubs.py`._
|