.. This file is auto-generated during the Sphinx build. Do not edit by hand; changes will be overwritten. eegdash.dataset.DS004584 ======================== .. currentmodule:: eegdash.dataset .. autoclass:: eegdash.dataset.DS004584 :members: :undoc-members: :show-inheritance: :inherited-members: :member-order: bysource Dataset Information ------------------- - **Dataset ID:** ``DS004584`` - **Summary:** Modality: Resting State | Type: Clinical/Intervention | Subjects: Parkinson's - **Number of Subjects:** 149 - **Number of Recordings:** 149 - **Number of Tasks:** 1 - **Number of Channels:** 63,64,66 - **Sampling Frequencies:** 500 - **Total Duration (hours):** 6.641 - **Dataset Size:** 2.87 GB - **OpenNeuro:** `ds004584 `__ - **NeMAR:** `ds004584 `__ ========= ======= ======== ========== ========== ============= ======= dataset #Subj #Chan #Classes Freq(Hz) Duration(H) Size ========= ======= ======== ========== ========== ============= ======= ds004584 149 63,64,66 1 500 6.641 2.87 GB ========= ======= ======== ========== ========== ============= ======= Usage Example ------------- .. code-block:: python from eegdash.dataset import DS004584 dataset = DS004584(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 `__