.. This file is auto-generated during the Sphinx build. Do not edit by hand; changes will be overwritten. eegdash.dataset.DS004347 ======================== .. currentmodule:: eegdash.dataset .. autoclass:: eegdash.dataset.DS004347 :members: :undoc-members: :show-inheritance: :inherited-members: :member-order: bysource Dataset Information ------------------- - **Dataset ID:** ``DS004347`` - **Summary:** Modality: Visual | Type: Perception | Subjects: Healthy - **Number of Subjects:** 24 - **Number of Recordings:** 48 - **Number of Tasks:** 1 - **Number of Channels:** 64 - **Sampling Frequencies:** 128,512 - **Total Duration (hours):** 6.389 - **Dataset Size:** 2.69 GB - **OpenNeuro:** `ds004347 `__ - **NeMAR:** `ds004347 `__ ========= ======= ======= ========== ========== ============= ======= dataset #Subj #Chan #Classes Freq(Hz) Duration(H) Size ========= ======= ======= ========== ========== ============= ======= ds004347 24 64 1 128,512 6.389 2.69 GB ========= ======= ======= ========== ========== ============= ======= Usage Example ------------- .. code-block:: python from eegdash.dataset import DS004347 dataset = DS004347(cache_dir="./data") print(f"Number of recordings: {len(dataset)}") if len(dataset): recording = dataset[0] raw = recording.load() print(f"Sampling rate: {raw.info['sfreq']} Hz") print(f"Channels: {len(raw.ch_names)}") See Also -------- * :class:`eegdash.dataset.EEGDashDataset` * :mod:`eegdash.dataset` * `OpenNeuro dataset page `__ * `NeMAR dataset page `__