..
   This documentation page is generated during the Sphinx build.
   The underlying code is manually maintained and not autogenerated.

eegdash.dataset.DS006095
========================

participants.tsv (OpenNeuro ``ds006095``). 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
     - ``DS006095``
   * - Title
     - participants.tsv
   * - Year
     - 2025
   * - Authors
     - Chang Liu, Erika M. Pliner, Jacob S. Salminen, Ryan Downey, Jungyun Hwang, Akraprava Roy, Ryland Swearinger, Natalie Richer, Chris J. Hass, David J. Clark, Todd M. Manini, Yenisel Cruz-Almeida, Rachael D. Seidler, Daniel P. Ferris
   * - License
     - CC0
   * - Citation / DOI
     - `doi:10.18112/openneuro.ds006095.v1.0.0 <https://doi.org/10.18112/openneuro.ds006095.v1.0.0>`__
   * - Source links
     - `OpenNeuro <https://openneuro.org/datasets/ds006095>`__ | `NeMAR <https://nemar.org/dataexplorer/detail?dataset_id=ds006095>`__ | `Source URL <https://openneuro.org/datasets/ds006095>`__

.. dropdown:: Copy-paste BibTeX
   :class-container: sd-shadow-sm
   :class-title: sd-bg-light

   .. code-block:: bibtex

      @dataset{ds006095,
        title = {participants.tsv},
        author = {Chang Liu and Erika M. Pliner and Jacob S. Salminen and Ryan Downey and Jungyun Hwang and Akraprava Roy and Ryland Swearinger and Natalie Richer and Chris J. Hass and David J. Clark and Todd M. Manini and Yenisel Cruz-Almeida and Rachael D. Seidler and Daniel P. Ferris},
        doi = {10.18112/openneuro.ds006095.v1.0.0},
        url = {https://doi.org/10.18112/openneuro.ds006095.v1.0.0},
      }

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: 310 (115), 284 (1053), 336 (14)
      - Sampling rate (Hz): 500.0
      - 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.ds006095.v1.0.0

   .. grid-item-card:: Provenance
      :class-card: sd-border-1

      - Source: openneuro
      - OpenNeuro: `ds006095 <https://openneuro.org/datasets/ds006095>`__
      - NeMAR: `ds006095 <https://nemar.org/dataexplorer/detail?dataset_id=ds006095>`__

Quickstart
----------

**Install**

.. code-block:: bash

   pip install eegdash

**Load a recording**

.. code-block:: python

   from eegdash.dataset import DS006095

   dataset = DS006095(cache_dir="./data")
   recording = dataset[0]
   raw = recording.load()

**Filter/query**

.. tab-set::

   .. tab-item:: Basic

      .. code-block:: python

         dataset = DS006095(cache_dir="./data", subject="01")

   .. tab-item:: Advanced

      .. code-block:: python

         dataset = DS006095(
             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.DS006095
   :members: __init__, save
   :show-inheritance:
   :member-order: bysource


See Also
--------

* :class:`eegdash.dataset.EEGDashDataset`
* :mod:`eegdash.dataset`
* `OpenNeuro dataset page <https://openneuro.org/datasets/ds006095>`__
* `NeMAR dataset page <https://nemar.org/dataexplorer/detail?dataset_id=ds006095>`__