--- pretty_name: "Auditory Naming EC" license: cc0-1.0 tags: - ieeg - neuroscience - eegdash - brain-computer-interface - pytorch - auditory - other size_categories: - n<1K task_categories: - other --- # Auditory Naming EC **Dataset ID:** `ds006910` _Kochi2025_Auditory_Naming_EC_ > **At a glance:** IEEG · Auditory other · unknown · 121 subjects · 384 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="ds006910", cache_dir="./cache") print(len(ds), "recordings") ``` 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/ds006910") ``` ## Dataset metadata | | | |---|---| | **Subjects** | 121 | | **Recordings** | 384 | | **Tasks (count)** | 1 | | **Channels** | 128 (×269), 138 (×14), 136 (×11), 112 (×9), 140 (×8), 164 (×8), 134 (×7), 110 (×6), 142 (×5), 156 (×5), 150 (×5), 132 (×4), 148 (×4), 144 (×4), 130 (×4), 160 (×3), 154 (×3), 84 (×3), 118 (×3), 96 (×3), 152 (×3), 64 (×2), 58 (×1) | | **Sampling rate (Hz)** | 1000 (×384) | | **Total duration (h)** | 130.1 | | **Size on disk** | 44.6 GB | | **Recording type** | IEEG | | **Experimental modality** | Auditory | | **Paradigm type** | Other | | **Population** | Unknown | | **Source** | openneuro | | **License** | CC0 | ## Links - **DOI:** [10.18112/openneuro.ds006910.v1.0.1](https://doi.org/10.18112/openneuro.ds006910.v1.0.1) - **OpenNeuro:** [ds006910](https://openneuro.org/datasets/ds006910) - **Browse 700+ datasets:** [EEGDash catalog](https://huggingface.co/spaces/EEGDash/catalog) - **Docs:** - **Code:** --- _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/ds006910). Do not edit this file by hand — update the upstream source and re-run `scripts/push_metadata_stubs.py`._