Metadata stub for ds004859

README.md

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+---
+pretty_name: "iEEG on children during Stroop task"
+license: cc0-1.0
+tags:
+  - ieeg
+  - neuroscience
+  - eegdash
+  - brain-computer-interface
+  - pytorch
+  - visual
+  - attention
+  - stroop
+size_categories:
+  - n<1K
+task_categories:
+  - other
+authors:
+  - "Kazuki Sakakura"
+  - "Eishi Asano"
+---
+
+# iEEG on children during Stroop task
+
+**Dataset ID:** `ds004859`
+
+_Sakakura2023_children_Stroop_
+
+**Canonical aliases:** `Sakakura2024`
+
+> **At a glance:** IEEG · Visual attention · unknown · 7 subjects · 9 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="ds004859", 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 Sakakura2024
+ds = Sakakura2024(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/ds004859")
+```
+
+
+## Dataset metadata
+
+| | |
+|---|---|
+| **Subjects** | 7 |
+| **Age range** | 10–17 yrs, mean 15.1 |
+| **Recordings** | 9 |
+| **Tasks (count)** | 1 |
+| **Sessions** | 2 |
+| **Channels** | 128 (×8), 108 (×1) |
+| **Sampling rate (Hz)** | 1000 (×9) |
+| **Total duration (h)** | 2.7 |
+| **Size on disk** | 2.3 GB |
+| **Recording type** | IEEG |
+| **Experimental modality** | Visual |
+| **Paradigm type** | Attention |
+| **Population** | Unknown |
+| **BIDS version** | 1.7.0 |
+| **Source** | openneuro |
+| **License** | CC0 |
+| **NEMAR citations** | 0 |
+
+## Tasks
+
+- `stroop`
+
+
+## People
+
+### Authors
+- Kazuki Sakakura
+- Eishi Asano _(senior)_
+
+### Contact
+- Kaz Sakakura
+
+## Funding
+
+- N/A
+
+## Links
+
+- **DOI:** [10.18112/openneuro.ds004859.v1.0.0](https://doi.org/10.18112/openneuro.ds004859.v1.0.0)
+- **OpenNeuro:** [ds004859](https://openneuro.org/datasets/ds004859)
+- **Browse 700+ datasets:** [EEGDash catalog](https://huggingface.co/spaces/EEGDash/catalog)
+- **Docs:** <https://eegdash.org>
+- **Code:** <https://github.com/eegdash/EEGDash>
+
+## Provenance
+
+- **Backend:** `s3` — `s3://openneuro.org/ds004859`
+- **Exact size:** 2,435,511,071 bytes (2.3 GB)
+- **Ingested:** 2026-04-06
+- **Stats computed:** 2026-04-04
+
+---
+
+_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/ds004859). Do not edit this file by hand — update the upstream source and re-run `scripts/push_metadata_stubs.py`._

eegdash.json

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+{
+  "dataset_id": "ds004859",
+  "title": "iEEG on children during Stroop task",
+  "source": "openneuro",
+  "source_url": "https://openneuro.org/datasets/ds004859",
+  "doi": "10.18112/openneuro.ds004859.v1.0.0",
+  "license": "CC0",
+  "loader": {
+    "library": "eegdash",
+    "class": "EEGDashDataset",
+    "kwargs": {
+      "dataset": "ds004859"
+    }
+  },
+  "catalog": "https://huggingface.co/spaces/EEGDash/catalog",
+  "generated_by": "huggingface-space/scripts/push_metadata_stubs.py"
+}