<?xml version='1.0' encoding='utf-8'?>
<eprints xmlns='http://eprints.org/ep2/data/2.0'>
  <eprint id='https://researchdata.gla.ac.uk/id/eprint/2167'>
    <eprintid>2167</eprintid>
    <rev_number>26</rev_number>
    <documents>
      <document id='https://researchdata.gla.ac.uk/id/document/8015'>
        <docid>8015</docid>
        <rev_number>2</rev_number>
        <files>
          <file id='https://researchdata.gla.ac.uk/id/file/49044'>
            <fileid>49044</fileid>
            <datasetid>document</datasetid>
            <objectid>8015</objectid>
            <filename>2167_PIS.pdf</filename>
            <mime_type>application/pdf</mime_type>
            <hash>b3a9d3056de09961b8ec21144e4b77cf</hash>
            <hash_type>MD5</hash_type>
            <filesize>62425</filesize>
            <mtime>2026-08-07 10:02:37</mtime>
            <url>https://researchdata.gla.ac.uk/2167/1/2167_PIS.pdf</url>
          </file>
        </files>
        <eprintid>2167</eprintid>
        <pos>1</pos>
        <placement>1</placement>
        <mime_type>application/pdf</mime_type>
        <format>Text</format>
        <language>en</language>
        <security>public</security>
        <license>cc_by_4</license>
        <main>2167_PIS.pdf</main>
        <content>documentation</content>
      </document>
      <document id='https://researchdata.gla.ac.uk/id/document/8016'>
        <docid>8016</docid>
        <rev_number>2</rev_number>
        <files>
          <file id='https://researchdata.gla.ac.uk/id/file/49047'>
            <fileid>49047</fileid>
            <datasetid>document</datasetid>
            <objectid>8016</objectid>
            <filename>2167_consent_form.pdf</filename>
            <mime_type>application/pdf</mime_type>
            <hash>86863356de81c5ff23382c432fa10821</hash>
            <hash_type>MD5</hash_type>
            <filesize>115905</filesize>
            <mtime>2026-08-07 10:03:16</mtime>
            <url>https://researchdata.gla.ac.uk/2167/2/2167_consent_form.pdf</url>
          </file>
        </files>
        <eprintid>2167</eprintid>
        <pos>2</pos>
        <placement>2</placement>
        <mime_type>application/pdf</mime_type>
        <format>Text</format>
        <language>en</language>
        <security>public</security>
        <license>cc_by_4</license>
        <main>2167_consent_form.pdf</main>
        <content>documentation</content>
      </document>
      <document id='https://researchdata.gla.ac.uk/id/document/8017'>
        <docid>8017</docid>
        <rev_number>2</rev_number>
        <files>
          <file id='https://researchdata.gla.ac.uk/id/file/49050'>
            <fileid>49050</fileid>
            <datasetid>document</datasetid>
            <objectid>8017</objectid>
            <filename>2167_readme_EEG.md</filename>
            <mime_type>text/plain</mime_type>
            <hash>ea683100f5819dadafb6fd1165acdd7a</hash>
            <hash_type>MD5</hash_type>
            <filesize>1972</filesize>
            <mtime>2026-08-07 10:09:00</mtime>
            <url>https://researchdata.gla.ac.uk/2167/3/2167_readme_EEG.md</url>
          </file>
        </files>
        <eprintid>2167</eprintid>
        <pos>3</pos>
        <placement>3</placement>
        <mime_type>text/plain</mime_type>
        <format>Text</format>
        <language>en</language>
        <security>public</security>
        <license>cc_by_4</license>
        <main>2167_readme_EEG.md</main>
        <content>readme</content>
      </document>
      <document id='https://researchdata.gla.ac.uk/id/document/8018'>
        <docid>8018</docid>
        <rev_number>2</rev_number>
        <files>
          <file id='https://researchdata.gla.ac.uk/id/file/49053'>
            <fileid>49053</fileid>
            <datasetid>document</datasetid>
            <objectid>8018</objectid>
            <filename>2167_Data_MNIST_EEG.zip</filename>
            <mime_type>application/zip</mime_type>
            <hash>19fe75d1bc92adaa9b6b268d4aebd2d6</hash>
            <hash_type>MD5</hash_type>
            <filesize>714401</filesize>
            <mtime>2026-08-07 10:09:32</mtime>
            <url>https://researchdata.gla.ac.uk/2167/4/2167_Data_MNIST_EEG.zip</url>
          </file>
        </files>
        <eprintid>2167</eprintid>
        <pos>4</pos>
        <placement>4</placement>
        <mime_type>application/zip</mime_type>
        <format>Mixed</format>
        <language>en</language>
        <security>public</security>
        <license>cc_by_4</license>
        <main>2167_Data_MNIST_EEG.zip</main>
        <content>data</content>
      </document>
      <document id='https://researchdata.gla.ac.uk/id/document/8019'>
        <docid>8019</docid>
        <rev_number>2</rev_number>
        <files>
          <file id='https://researchdata.gla.ac.uk/id/file/49056'>
            <fileid>49056</fileid>
            <datasetid>document</datasetid>
            <objectid>8019</objectid>
            <filename>2167_Data_Gabor_EEG.zip</filename>
            <mime_type>application/zip</mime_type>
            <hash>7dafd2291381044b8b425b1513918682</hash>
            <hash_type>MD5</hash_type>
            <filesize>17520439</filesize>
            <mtime>2026-08-07 10:15:13</mtime>
            <url>https://researchdata.gla.ac.uk/2167/5/2167_Data_Gabor_EEG.zip</url>
          </file>
        </files>
        <eprintid>2167</eprintid>
        <pos>5</pos>
        <placement>5</placement>
        <mime_type>application/zip</mime_type>
        <format>Mixed</format>
        <language>en</language>
        <security>public</security>
        <license>cc_by_4</license>
        <main>2167_Data_Gabor_EEG.zip</main>
        <content>data</content>
      </document>
    </documents>
    <eprint_status>archive</eprint_status>
    <userid>32968</userid>
    <dir>disk0/00/00/21/67</dir>
    <datestamp>2026-08-07 10:49:57</datestamp>
    <lastmod>2026-08-07 10:50:01</lastmod>
    <status_changed>2026-08-07 10:49:57</status_changed>
    <type>data_collection</type>
    <metadata_visibility>show</metadata_visibility>
    <creators>
      <item>
        <name>
          <family>Wang</family>
          <given>Gao</given>
        </name>
        <enlightenid>61565</enlightenid>
      </item>
      <item>
        <name>
          <family>Huang</family>
          <given>Yingying</given>
        </name>
        <enlightenid>80127</enlightenid>
        <orcid>0000-0001-5420-5122</orcid>
      </item>
      <item>
        <name>
          <family>Muckli</family>
          <given>Lars</given>
        </name>
        <enlightenid>7892</enlightenid>
        <orcid>0000-0002-0143-4324</orcid>
      </item>
      <item>
        <name>
          <family>Faccio</family>
          <given>Daniele</given>
        </name>
        <enlightenid>45729</enlightenid>
        <orcid>0000-0001-8397-334X</orcid>
      </item>
    </creators>
    <uniqueid>glaresearchdata:2026-02-12-2167</uniqueid>
    <title>Symbiotic Brain-Machine Drawing via Visual Brain-Computer Interfaces</title>
    <divisions>
      <item>30600000</item>
    </divisions>
    <note>Additional funding:
EPSRC - EP/Z533166/1</note>
    <abstract>This dataset is one-electrode (Oz) EEG recording when human participants were viewing flashing white dots on the screen.</abstract>
    <date>2026-02-12</date>
    <publisher>University of Glasgow</publisher>
    <id_number>10.5525/gla.researchdata.2167</id_number>
    <data_type>
      <item>Mixed</item>
    </data_type>
    <copyright_holders>
      <item>University of Glasgow</item>
    </copyright_holders>
    <funding>
      <item>
        <project_code>305567</project_code>
        <project_name>QuantIC - The UK Quantum Technoogy Hub in Quantum Enhanced Imaging</project_name>
        <investigator_name>Miles Padgett</investigator_name>
        <funder_name>Engineering and Physical Sciences Research Council (EPSRC)</funder_name>
        <funder_code>EP/T00097X/1</funder_code>
        <investigator_dept>P&amp;S - Physics &amp; Astronomy</investigator_dept>
      </item>
      <item>
        <project_code>318340</project_code>
        <project_name>Boson Sampling and Quantum Imaging for Complex Biological Systems</project_name>
        <investigator_name>Daniele Faccio</investigator_name>
        <funder_name>EPSRC EU Guarantee (EPSRCEU)</funder_name>
        <funder_code>EP/Y029097/1</funder_code>
        <investigator_dept>P&amp;S - Physics &amp; Astronomy</investigator_dept>
      </item>
      <item>
        <project_code>307829</project_code>
        <project_name>Quantum-Inspired Imaging for Remote Monitoring of Health &amp; Disease in Community Healthcare</project_name>
        <investigator_name>Jonathan Cooper</investigator_name>
        <funder_name>Engineering and Physical Sciences Research Council (EPSRC)</funder_name>
        <funder_code>EP/T021020/1</funder_code>
        <investigator_dept>ENG - Biomedical Engineering</investigator_dept>
      </item>
    </funding>
    <pending>FALSE</pending>
    <language>English</language>
    <temporal_cover>
      <date_from>2025-05</date_from>
      <date_to>2025-12</date_to>
    </temporal_cover>
    <retention_date>2035-02-12</retention_date>
    <retention_action>R</retention_action>
    <dataset_origin>
      <item>file_transfer</item>
    </dataset_origin>
    <ingest_data>
      <item>
      </item>
      <item>
      </item>
      <item>
      </item>
    </ingest_data>
    <archive_data>
      <item>
      </item>
      <item>
      </item>
      <item>
      </item>
    </archive_data>
    <ethics_consent_required>TRUE</ethics_consent_required>
    <ethics_application_number>300230193</ethics_application_number>
    <ethics_committee>cose</ethics_committee>
    <request_copy>FALSE</request_copy>
    <repo_link>
      <item>
        <title>Symbiotic brain-machine drawing via visual brain-computer interfaces</title>
        <link>https://eprints.gla.ac.uk/id/eprint/384341</link>
      </item>
    </repo_link>
  </eprint>
</eprints>
