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    <identifier>10.57760/sciencedb.011vu</identifier>
    <datestamp>2026-09-28T10:46:59Z</datestamp>
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  <dc:date>2026-09-28</dc:date>
  <dc:title>SpaceGrid-3D: Synthetic and Real Point Clouds of Spatial Grid Structures</dc:title>
  <dc:identifier>doi:10.57760/sciencedb.011vu</dc:identifier>
  <dc:language>en</dc:language>
  <dc:description>SpaceGrid-3D contains 470 point-cloud scenes with 7,489,543,911 points. The synthetic component pairs clean and clutter scans for 230 structures across 14 topologies, 46 member&amp;ndash;joint combinations and five scales. It links point labels and structural instances to member connectivity, controlled geometry and observation records.Real scenes R1&amp;ndash;R10 represent ten independent physical structures and provide manually reviewed semantic labels. Coordinates use metres; labels 0, 1 and 2 denote background, node and member. R10 has no node-class ground truth.Four archives&amp;mdash;Metadata, Clean, Clutter and Real&amp;mdash;share a SpaceGrid-3D root and are extracted into the same parent directory. Paired scans and equivalent geometry groups should remain together in user-defined splits. The data are licensed under CC BY 4.0. Companion code: https://github.com/zyClan/SpaceGrid-3D.</dc:description>
  <dc:subject>spatial grid structures; terrestrial laser scanning; synthetic point clouds; real point clouds; semantic segmentation; structural connectivity</dc:subject>
  <dc:creator>Yanzong Zhang</dc:creator>
  <dc:creator>Xuelai Li</dc:creator>
  <dc:creator>Zhining Tang</dc:creator>
  <dc:creator>Chunao Liu</dc:creator>
  <dc:creator>Wei Chao</dc:creator>
  <dc:creator>Guibo Nie</dc:creator>
  <dc:rights>EMBARGO</dc:rights>
  <dc:rights>https://creativecommons.org/licenses/by/4.0/</dc:rights>
  <dc:type>dataset</dc:type>
  <dc:publisher>Science Data Bank</dc:publisher>
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