.. This file is auto-generated during the Sphinx build. Do not edit by hand; changes will be overwritten. eegdash.dataset.DS004844 ======================== .. currentmodule:: eegdash.dataset .. autoclass:: eegdash.dataset.DS004844 :members: :undoc-members: :show-inheritance: :inherited-members: :member-order: bysource Dataset Information ------------------- - **Dataset ID:** ``DS004844`` - **Summary:** Modality: Multisensory | Type: Decision-making - **Number of Subjects:** 17 - **Number of Recordings:** 68 - **Number of Tasks:** 1 - **Number of Channels:** 64 - **Sampling Frequencies:** 1024 - **Total Duration (hours):** 21.252 - **Dataset Size:** 22.33 GB - **OpenNeuro:** `ds004844 `__ - **NeMAR:** `ds004844 `__ ========= ======= ======= ========== ========== ============= ======== dataset #Subj #Chan #Classes Freq(Hz) Duration(H) Size ========= ======= ======= ========== ========== ============= ======== ds004844 17 64 1 1024 21.252 22.33 GB ========= ======= ======= ========== ========== ============= ======== Usage Example ------------- .. code-block:: python from eegdash.dataset import DS004844 dataset = DS004844(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 `__