.. This documentation page is generated during the Sphinx build. The underlying code is manually maintained and not autogenerated. eegdash.dataset.DS006366 ======================== task-sleep_events.json (OpenNeuro ``ds006366``). Access recordings and metadata through EEGDash. .. rst-class:: sd-badges :bdg-light:`Modality: ['eeg']` :bdg-light:`Tasks: 0` :bdg-light:`License: CC0` :bdg-light:`Subjects: 0` :bdg-light:`Recordings: 0` :bdg-light:`Source: openneuro` Dataset Information ------------------- .. list-table:: :widths: 25 75 :header-rows: 0 * - Dataset ID - ``DS006366`` * - Title - task-sleep_events.json * - Year - 2025 * - Authors - Laura Rose, Alexander Neergaard Zahid, Javier García Ciudad, Christine Egebjerg, Louise Piilgaard, Frederikke Lynge Sørensen, Mie Andersen, Tessa Radovanovic, Anastasia Tsopanidou, Maiken Nedergaard, Sébastien Arthaud, Renato Maciel, Christelle Peyron, Chiara Berteotti, Viviana Lo Martire, Alessandro Silvani, Giovanna Zoccoli, Micaela Borsa, Antoine Adamantidis, Morten Mørup, Birgitte Rahbek Kornum * - License - CC0 * - Citation / DOI - `doi:10.18112/openneuro.ds006366.v1.0.1 `__ * - Source links - `OpenNeuro `__ | `NeMAR `__ | `Source URL `__ .. dropdown:: Copy-paste BibTeX :class-container: sd-shadow-sm :class-title: sd-bg-light .. code-block:: bibtex @dataset{ds006366, title = {task-sleep_events.json}, author = {Laura Rose and Alexander Neergaard Zahid and Javier García Ciudad and Christine Egebjerg and Louise Piilgaard and Frederikke Lynge Sørensen and Mie Andersen and Tessa Radovanovic and Anastasia Tsopanidou and Maiken Nedergaard and Sébastien Arthaud and Renato Maciel and Christelle Peyron and Chiara Berteotti and Viviana Lo Martire and Alessandro Silvani and Giovanna Zoccoli and Micaela Borsa and Antoine Adamantidis and Morten Mørup and Birgitte Rahbek Kornum}, doi = {10.18112/openneuro.ds006366.v1.0.1}, url = {https://doi.org/10.18112/openneuro.ds006366.v1.0.1}, } Highlights ---------- .. grid:: 1 2 3 3 :gutter: 2 .. grid-item-card:: Subjects & recordings :class-card: sd-border-1 - Subjects: 0 - Recordings: 0 - Tasks: 0 .. grid-item-card:: Channels & sampling rate :class-card: sd-border-1 - Channels: 2 (43), 3 (71), 5 (34) - Sampling rate (Hz): Unknown - Duration (hours): 0 .. grid-item-card:: Tasks & conditions :class-card: sd-border-1 - Tasks: 0 - Experiment type: Unknown - Subject type: Unknown .. grid-item-card:: Files & format :class-card: sd-border-1 - Size on disk: Unknown - File count: Unknown - Format: Unknown .. grid-item-card:: License & citation :class-card: sd-border-1 - License: CC0 - DOI: doi:10.18112/openneuro.ds006366.v1.0.1 .. grid-item-card:: Provenance :class-card: sd-border-1 - Source: openneuro - OpenNeuro: `ds006366 `__ - NeMAR: `ds006366 `__ Quickstart ---------- **Install** .. code-block:: bash pip install eegdash **Load a recording** .. code-block:: python from eegdash.dataset import DS006366 dataset = DS006366(cache_dir="./data") recording = dataset[0] raw = recording.load() **Filter/query** .. tab-set:: .. tab-item:: Basic .. code-block:: python dataset = DS006366(cache_dir="./data", subject="01") .. tab-item:: Advanced .. code-block:: python dataset = DS006366( cache_dir="./data", query={"subject": {"$in": ["01", "02"]}}, ) Quality & caveats ----------------- - No dataset-specific caveats are listed in the available metadata. API --- .. currentmodule:: eegdash.dataset .. autoclass:: eegdash.dataset.DS006366 :members: __init__, save :show-inheritance: :member-order: bysource See Also -------- * :class:`eegdash.dataset.EEGDashDataset` * :mod:`eegdash.dataset` * `OpenNeuro dataset page `__ * `NeMAR dataset page `__