Dataset Open Access

Source Reconstructed MEG Data for Adaptive biasing of action-selective cortical build-up activity by stimulus history

Braun, Anke; Donner, Tobias H.


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<oai_dc:dc xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
  <dc:creator>Braun, Anke</dc:creator>
  <dc:creator>Donner, Tobias H.</dc:creator>
  <dc:date>2023-10-24</dc:date>
  <dc:description>This dataset contains source reconstructed MEG data for "Adaptive biasing of action-selective cortical build-up activity by stimulus history".

Source reconstructed files are named as follows: S{subject number}-SESS{session number}-REC{recording number}-stimulus-{"F" or "LF"}-chunk{a number between 0 and 500 in steps of 100}-lcmv.hdf. Source reconstructed data contain stimulus locked epochs for high (&gt;=37Hz, "F") and low (&lt;37 Hz, "LF") frequency TFR decompositions. Each session is spread over a number of files that contain chunks of up to 100 trials each.

Files can be read using 'pandas.read_hdf'. This returns a table that contains individual ROIs as columns and a multi-index. The index contains a trial identifier ('trial'), a time identifier ('time', seconds relative to trial onset), an identifier for the TFR settings ('est_key') and a frequency identifier ('est_val').</dc:description>
  <dc:identifier>https://www.fdr.uni-hamburg.de/record/13197</dc:identifier>
  <dc:identifier>10.25592/uhhfdm.13197</dc:identifier>
  <dc:identifier>oai:fdr.uni-hamburg.de:13197</dc:identifier>
  <dc:relation>doi:10.25592/uhhfdm.13196</dc:relation>
  <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
  <dc:rights>https://creativecommons.org/licenses/by/4.0/legalcode</dc:rights>
  <dc:title>Source Reconstructed MEG Data for Adaptive biasing of action-selective cortical build-up activity by stimulus history</dc:title>
  <dc:type>info:eu-repo/semantics/other</dc:type>
  <dc:type>dataset</dc:type>
</oai_dc:dc>

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