Metadata stub for ds004809

README.md

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+---
+pretty_name: "Categorized Free Recall: Delayed Free Recall of Word Lists Organized by Semantic Categories"
+license: cc0-1.0
+tags:
+  - ieeg
+  - neuroscience
+  - eegdash
+  - brain-computer-interface
+  - pytorch
+  - visual
+  - memory
+  - epilepsy
+size_categories:
+  - n<1K
+task_categories:
+  - other
+---
+
+# Categorized Free Recall: Delayed Free Recall of Word Lists Organized by Semantic Categories
+
+**Dataset ID:** `ds004809`
+
+_Herrema2023_Categorized_Free_Recall_
+
+**Canonical aliases:** `catFR_Categorized_Free_Recall` · `CatFR`
+
+> **At a glance:** IEEG · Visual memory · epilepsy · 252 subjects · 889 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="ds004809", 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 catFR_Categorized_Free_Recall
+ds = catFR_Categorized_Free_Recall(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/ds004809")
+```
+
+
+## Dataset metadata
+
+| | |
+|---|---|
+| **Subjects** | 252 |
+| **Recordings** | 889 |
+| **Tasks (count)** | 1 |
+| **Channels** | 126 (×70), 124 (×30), 108 (×26), 125 (×20), 128 (×19), 139 (×19), 88 (×17), 127 (×16), 120 (×16), 131 (×15), 145 (×15), 148 (×15), 116 (×15), 64 (×14), 196 (×14), 112 (×14), 110 (×13), 142 (×13), 179 (×13), 118 (×12), 155 (×12), 133 (×11), 114 (×11), 121 (×11), 251 (×11), 159 (×11), 90 (×11), 178 (×10), 113 (×10), 186 (×10), 94 (×10), 92 (×10), 158 (×9), 115 (×9), 105 (×9), 152 (×9), 198 (×9), 200 (×8), 183 (×8), 156 (×8), 247 (×8), 104 (×8), 106 (×7), 166 (×7), 122 (×7), 98 (×7), 68 (×7), 212 (×7), 240 (×6), 241 (×6), 100 (×6), 109 (×6), 76 (×6), 78 (×6), 184 (×6), 150 (×6), 154 (×5), 56 (×5), 208 (×5), 165 (×5), 168 (×5), 250 (×5), 224 (×4), 141 (×4), 189 (×4), 164 (×4), 192 (×4), 180 (×4), 97 (×4), 72 (×4), 70 (×4), 89 (×4), 238 (×4), 185 (×4), 173 (×4), 219 (×4), 175 (×4), 134 (×4), 188 (×4), 83 (×3), 160 (×3), 167 (×3), 140 (×3), 209 (×3), 95 (×3), 220 (×3), 130 (×3), 162 (×3), 46 (×3), 60 (×3), 229 (×3), 207 (×3), 123 (×2), 119 (×2), 169 (×2), 203 (×2), 161 (×2), 84 (×2), 177 (×2), 151 (×2), 172 (×2), 93 (×2), 53 (×2), 96 (×2), 132 (×2), 67 (×2), 176 (×2), 193 (×2), 187 (×2), 80 (×1), 146 (×1), 14 (×1), 136 (×1), 52 (×1), 16 (×1), 86 (×1), 239 (×1), 75 (×1), 182 (×1), 102 (×1), 85 (×1), 63 (×1), 206 (×1), 50 (×1), 213 (×1), 111 (×1), 99 (×1), 62 (×1), 37 (×1), 163 (×1), 243 (×1), 36 (×1), 107 (×1), 153 (×1), 143 (×1), 26 (×1), 202 (×1), 218 (×1) |
+| **Sampling rate (Hz)** | 1000 (×766), 500 (×93), 1600 (×10), 999 (×8), 1023.999 (×6), 1024 (×4), 499.7071 (×2) |
+| **Total duration (h)** | 575.3 |
+| **Size on disk** | 477.2 GB |
+| **Recording type** | IEEG |
+| **Experimental modality** | Visual |
+| **Paradigm type** | Memory |
+| **Population** | Epilepsy |
+| **Source** | openneuro |
+| **License** | CC0 |
+| **NEMAR citations** | 1.0 |
+
+## Links
+
+- **DOI:** [10.18112/openneuro.ds004809.v2.2.0](https://doi.org/10.18112/openneuro.ds004809.v2.2.0)
+- **OpenNeuro:** [ds004809](https://openneuro.org/datasets/ds004809)
+- **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/ds004809). 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": "ds004809",
+  "title": "Categorized Free Recall: Delayed Free Recall of Word Lists Organized by Semantic Categories",
+  "source": "openneuro",
+  "source_url": "https://openneuro.org/datasets/ds004809",
+  "doi": "10.18112/openneuro.ds004809.v2.2.0",
+  "license": "CC0",
+  "loader": {
+    "library": "eegdash",
+    "class": "EEGDashDataset",
+    "kwargs": {
+      "dataset": "ds004809"
+    }
+  },
+  "catalog": "https://huggingface.co/spaces/EEGDash/catalog",
+  "generated_by": "huggingface-space/scripts/push_metadata_stubs.py"
+}