Metadata stub for ds004370
Browse files- README.md +88 -0
- eegdash.json +17 -0
README.md
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---
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pretty_name: "PRIOS"
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license: cc0-1.0
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tags:
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- ieeg
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- neuroscience
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- eegdash
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- brain-computer-interface
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- pytorch
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- anesthesia
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- clinical-intervention
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- surgery
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size_categories:
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- n<1K
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task_categories:
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- other
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---
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# PRIOS
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**Dataset ID:** `ds004370`
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_Blooijs2022_PRIOS_
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**Canonical aliases:** `PRIOS`
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> **At a glance:** IEEG · Anesthesia clinical/intervention · surgery · 7 subjects · 15 recordings · CC0
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## Load this dataset
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This repo is a **pointer**. The raw EEG data lives at its canonical source
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(OpenNeuro / NEMAR); [EEGDash](https://github.com/eegdash/EEGDash) streams it
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on demand and returns a PyTorch / braindecode dataset.
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```python
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# pip install eegdash
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from eegdash import EEGDashDataset
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ds = EEGDashDataset(dataset="ds004370", cache_dir="./cache")
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print(len(ds), "recordings")
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```
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You can also load it by canonical alias — these are registered classes in `eegdash.dataset`:
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```python
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from eegdash.dataset import PRIOS
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ds = PRIOS(cache_dir="./cache")
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```
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If the dataset has been mirrored to the HF Hub in braindecode's Zarr layout,
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you can also pull it directly:
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```python
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from braindecode.datasets import BaseConcatDataset
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ds = BaseConcatDataset.pull_from_hub("EEGDash/ds004370")
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```
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## Dataset metadata
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| | |
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|---|---|
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| **Subjects** | 7 |
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| **Recordings** | 15 |
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| **Tasks (count)** | 2 |
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| **Channels** | 133 (×7), 68 (×6), 64 (×2) |
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| **Sampling rate (Hz)** | 2048 (×15) |
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| **Total duration (h)** | 10.2 |
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| **Size on disk** | 27.6 GB |
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| **Recording type** | IEEG |
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| **Experimental modality** | Anesthesia |
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| **Paradigm type** | Clinical/Intervention |
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| **Population** | Surgery |
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| **Source** | openneuro |
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| **License** | CC0 |
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| **NEMAR citations** | 1.0 |
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## Links
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- **DOI:** [10.18112/openneuro.ds004370.v1.0.2](https://doi.org/10.18112/openneuro.ds004370.v1.0.2)
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- **OpenNeuro:** [ds004370](https://openneuro.org/datasets/ds004370)
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- **Browse 700+ datasets:** [EEGDash catalog](https://huggingface.co/spaces/EEGDash/catalog)
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- **Docs:** <https://eegdash.org>
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- **Code:** <https://github.com/eegdash/EEGDash>
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---
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_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/ds004370). Do not edit this file by hand — update the upstream source and re-run `scripts/push_metadata_stubs.py`._
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eegdash.json
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{
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"dataset_id": "ds004370",
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"title": "PRIOS",
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"source": "openneuro",
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"source_url": "https://openneuro.org/datasets/ds004370",
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"doi": "10.18112/openneuro.ds004370.v1.0.2",
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"license": "CC0",
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"loader": {
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"library": "eegdash",
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"class": "EEGDashDataset",
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"kwargs": {
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"dataset": "ds004370"
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}
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},
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"catalog": "https://huggingface.co/spaces/EEGDash/catalog",
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"generated_by": "huggingface-space/scripts/push_metadata_stubs.py"
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}
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