.. title: Open data sets
.. slug: opendata
.. date: 2023-03-24 23:52:52 UTC-07:00
.. tags: data, brain, fmri
.. category: neuroscience
.. link: 
.. description: 
.. type: text

.. title: OpenData
.. slug: open_data
.. date: 2023-03-24 23:52:52 UTC-07:00
.. tags: data, brain, fmri
.. category: neuroscience
.. link: 
.. description: 
.. type: text

.. raw:: html

   <div class="container" style="margin-bottom: 20px">
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          <img src="/images/papers/Deniz.F.2023.jpg" alt="Deniz 2023" class="img-fluid">
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          <a href="https://berkeley.app.box.com/v/Deniz-et-al-2019">
          This 3T fMRI data set consists of recordings made from participants
          who were listening to or reading narrative stories.</a>
          These data were collected as part of our 2023 study of context
          effects on semantic representation (<a href="https://www.biorxiv.org/content/10.1101/2021.12.15.472839.full.pd">Deniz et al., 2023</a>).
       </div>
     </div>
   </div>

   <div class="container" style="margin-bottom: 20px">
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          <img src="/images/papers/Huth.A.2016.jpg" alt="Huth 2016" class="img-fluid">
       </div>
       <div class="col-md-9">
          <a href="https://berkeley.app.box.com/s/l95gie5xtv56zocsgugmb7fs12nujpog">
          This 3T fMRI data set consists of recordings made from participants
          who were listening to narrative stories, or who were watching a collection
          of short video clips.</a> These data were collected as part of our 2016
          study on semantic maps (<a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4852309/">Huth et al., 2016</a>
          ), and they were used in our 2021 study on semantic
          alignment (<a href="https://drive.google.com/file/d/1_CcPfViYAUQFD2HxdneEzSrmBwjd-QkJ/view">Popham et al., 2021</a>).
       </div>
     </div>
   </div>

   <div class="container" style="margin-bottom: 20px">
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       <div class="col-md-3">
          <img src="/images/papers/Zhang.T.2021.jpg" alt="Zhang, 2021" class="img-fluid">
       </div>
       <div class="col-md-9">
          <a href="http://crcns.org/data-sets/vc/vim-4/about-vim-4">
          This 3T fMRI data set consists of recordings made from participants
          who were playing the Counterstrike video game.</a> These data were collected as
          part of our 2021 study of state spaces and attention (Voxel-based state space
          modeling recovers task-related cognitive states in naturalistic fmri experiments.
          (<a href="https://www.frontiersin.org/articles/10.3389/fnins.2020.565976/full">Zhang et al., 2021)</a>).
       </div>
     </div>
   </div>

   <div class="container" style="margin-bottom: 20px">
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       <div class="col-md-3">
         <img src="/images/other/movie.decoding.png" alt="decoded movie" class="img-fluid">
       </div>
       <div class="col-md-9">
         <a href="https://github.com/gallantlab/voxelwise_tutorials">
         Our voxelwise modeling tutorials</a> contain the data from the
         <a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3326357/">2011
         study of Nishimoto et al.</a>, which decoded movies from evoked brain
         activity.
       </div>
     </div>
   </div>