.. This file is auto-generated during the Sphinx build. Do not edit by hand; changes will be overwritten. eegdash.dataset.DS004752 ======================== .. currentmodule:: eegdash.dataset .. autoclass:: eegdash.dataset.DS004752 :members: :undoc-members: :show-inheritance: :inherited-members: :member-order: bysource Dataset Information ------------------- - **Dataset ID:** ``DS004752`` - **Summary:** Modality: Auditory | Type: Memory | Subjects: Epilepsy - **Number of Subjects:** 15 - **Number of Recordings:** 136 - **Number of Tasks:** 1 - **Number of Channels:** 0,8,10,19,20,21,23 - **Sampling Frequencies:** 200,2000,4000,4096 - **Total Duration (hours):** 0.302 - **Dataset Size:** 11.95 GB - **OpenNeuro:** `ds004752 `__ - **NeMAR:** `ds004752 `__ ========= ======= ================== ========== ================== ============= ======== dataset #Subj #Chan #Classes Freq(Hz) Duration(H) Size ========= ======= ================== ========== ================== ============= ======== ds004752 15 0,8,10,19,20,21,23 1 200,2000,4000,4096 0.302 11.95 GB ========= ======= ================== ========== ================== ============= ======== Usage Example ------------- .. code-block:: python from eegdash.dataset import DS004752 dataset = DS004752(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 `__