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    <identifier>10.57760/sciencedb.j00001.01282</identifier>
    <datestamp>2025-05-06T09:40:03Z</datestamp>
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  <dc:date>2025-05-06</dc:date>
  <dc:title>A dataset of spatial cognition experiment in virtual reality system</dc:title>
  <dc:identifier>doi:10.57760/sciencedb.j00001.01282</dc:identifier>
  <dc:language>en</dc:language>
  <dc:description>The study developed a data acquisition system based on Google 3D Map, utilizing landmarks as test sites, and conducted an experiment &amp;quot;Cognition Testing of Spatial Scenes&amp;quot; from September to December 2024.Through data processing methods including coordinate transformation and outlier filtering, combined with quality control mechanisms such as multiple validation and cognitive scoring, a dataset for spatial scene cognition was constructed, which can be used to effectively measure deviations in human spatial cognition within scenarios. The dataset consists of two data files: (1) SpatialScene.xlsx contains spatial scene data, comprising a total of 85 spatial scenes, with each scene including 15 basic information fields; (2) SpatialCognition.csv contains the subjects&amp;rsquo; spatial cognition data, consisting of 4,212 valid data entries, where each sample data entry comprises 11 fields.</dc:description>
  <dc:subject>Spatial scene; Cognitive bias; Influencing factors; Direction</dc:subject>
  <dc:creator>Shanshan Yu</dc:creator>
  <dc:creator>Zeping Dou</dc:creator>
  <dc:creator>Danhuai Guo</dc:creator>
  <dc:rights>PUBLIC</dc:rights>
  <dc:rights>https://creativecommons.org/licenses/by-nc-sa/4.0/</dc:rights>
  <dc:type>dataset</dc:type>
  <dc:relation>http://www.doi.org/10.11922/11-6035.csd.2025.0019.zh</dc:relation>
  <dc:publisher>Science Data Bank</dc:publisher>
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