Metadata stub for ds004865

README.md

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+---
+pretty_name: "pyFR: Delayed Free Recall of Word Lists, Preliminary Cognitive Electrophysiology Study"
+license: cc0-1.0
+tags:
+  - ieeg
+  - neuroscience
+  - eegdash
+  - brain-computer-interface
+  - pytorch
+  - visual
+  - memory
+  - surgery
+  - pyfr
+size_categories:
+  - n<1K
+task_categories:
+  - other
+authors:
+  - "Haydn G. Herrema"
+  - "Michael J. Kahana"
+---
+
+# pyFR: Delayed Free Recall of Word Lists, Preliminary Cognitive Electrophysiology Study
+
+**Dataset ID:** `ds004865`
+
+_Herrema2023_pyFR_Delayed_Free_
+
+**Canonical aliases:** `pyFR`
+
+> **At a glance:** IEEG · Visual memory · surgery · 42 subjects · 172 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="ds004865", 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 pyFR
+ds = pyFR(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/ds004865")
+```
+
+
+## Dataset metadata
+
+| | |
+|---|---|
+| **Subjects** | 42 |
+| **Age range** | 15–57 yrs, mean 34.1 |
+| **Recordings** | 172 |
+| **Tasks (count)** | 1 |
+| **Sessions** | 5 |
+| **Channels** | 100 (×7), 80 (×5), 74 (×5), 131 (×5), 46 (×4), 108 (×4), 62 (×4), 110 (×4), 54 (×4), 85 (×4), 86 (×4), 53 (×4), 32 (×3), 116 (×3), 47 (×3), 150 (×3), 121 (×3), 42 (×3), 55 (×3), 75 (×3), 78 (×3), 84 (×3), 109 (×3), 27 (×3), 82 (×3), 91 (×3), 72 (×3), 88 (×3), 105 (×3), 168 (×3), 48 (×3), 123 (×3), 96 (×3), 70 (×3), 104 (×3), 130 (×2), 63 (×2), 126 (×2), 68 (×2), 57 (×2), 52 (×2), 36 (×2), 102 (×2), 124 (×2), 76 (×2), 111 (×2), 58 (×2), 149 (×2), 144 (×2), 87 (×2), 119 (×2), 153 (×2), 142 (×2), 187 (×1), 95 (×1), 81 (×1), 90 (×1), 56 (×1), 94 (×1), 98 (×1), 160 (×1), 203 (×1), 120 (×1), 101 (×1), 97 (×1), 64 (×1) |
+| **Sampling rate (Hz)** | 1000 (×102), 512 (×40), 2000 (×16), 400 (×8), 499.7071 (×6) |
+| **Total duration (h)** | 180.6 |
+| **Size on disk** | 97.8 GB |
+| **Recording type** | IEEG |
+| **Experimental modality** | Visual |
+| **Paradigm type** | Memory |
+| **Population** | Surgery |
+| **BIDS version** | 1.7.0 |
+| **Source** | openneuro |
+| **License** | CC0 |
+| **NEMAR citations** | 0 |
+
+## Tasks
+
+- `pyFR`
+
+
+## Upstream README
+
+_Verbatim from the dataset's authors — the canonical description._
+
+### pyFR: Delayed Free Recall of Word Lists, Preliminary Cognitive Electrophysiology Study
+#### Description
+This dataset contains behavioral events and intracranial electrophysiological recordings from a delayed free recall task.  The experiment consists of participants studying a list of words, presented visually one at a time, completing simple arithmetic problems that function as a distractor, and then freely recalled the words from the just-presented list in any order.  The data was collected at clinical sites across the country as part of a collaboration with the Computational Memory Lab at the University of Pennsylvania.
+This study was a preliminary cogntive electrophysiology study undertaken by the Computational Memory Lab, and is a predecessor to the following datasets: [FR1](https://openneuro.org/datasets/ds004789) & [CatFR1](https://openneuro.org/datasets/ds004809)
+#### To Note
+* The iEEG recordings are labeled either "monopolar" or "bipolar."  The monopolar recordings are referenced (typically a mastoid reference), but should always be re-referenced before analysis.  The bipolar recordings are referenced according to a paired scheme indicated by the accompanying bipolar channels tables.
+* Each subject has a unique montage of electrode locations.  MNI and Talairach coordinates are provided when available, along with brain region annotations.
+* Recordings were made on multiple different systems, so we have done the scaling to provide all voltage values in V.
+#### Contact
+For questions or inquiries, please contact sas-kahana-sysadmin@sas.upenn.edu.
+
+
+## People
+
+### Authors
+- Haydn G. Herrema
+- Michael J. Kahana _(senior)_
+
+### Contact
+- Haydn Herrema
+
+## Funding
+
+- NIH: MH055687
+- NIH: MH061975
+
+## Links
+
+- **DOI:** [10.18112/openneuro.ds004865.v2.0.1](https://doi.org/10.18112/openneuro.ds004865.v2.0.1)
+- **OpenNeuro:** [ds004865](https://openneuro.org/datasets/ds004865)
+- **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/ds004865`
+- **Exact size:** 104,999,471,870 bytes (97.8 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/ds004865). 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": "ds004865",
+  "title": "pyFR: Delayed Free Recall of Word Lists, Preliminary Cognitive Electrophysiology Study",
+  "source": "openneuro",
+  "source_url": "https://openneuro.org/datasets/ds004865",
+  "doi": "10.18112/openneuro.ds004865.v2.0.1",
+  "license": "CC0",
+  "loader": {
+    "library": "eegdash",
+    "class": "EEGDashDataset",
+    "kwargs": {
+      "dataset": "ds004865"
+    }
+  },
+  "catalog": "https://huggingface.co/spaces/EEGDash/catalog",
+  "generated_by": "huggingface-space/scripts/push_metadata_stubs.py"
+}