<?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/1506'>
    <eprintid>1506</eprintid>
    <rev_number>25</rev_number>
    <documents>
      <document id='https://researchdata.gla.ac.uk/id/document/5971'>
        <docid>5971</docid>
        <rev_number>2</rev_number>
        <files>
          <file id='https://researchdata.gla.ac.uk/id/file/32380'>
            <fileid>32380</fileid>
            <datasetid>document</datasetid>
            <objectid>5971</objectid>
            <filename>FCM_FSC_FILES.zip</filename>
            <mime_type>application/zip</mime_type>
            <hash>85834aecdc355b387cfecdaeac31b77c</hash>
            <hash_type>MD5</hash_type>
            <filesize>244268861</filesize>
            <mtime>2023-10-09 13:39:19</mtime>
            <url>https://researchdata.gla.ac.uk/1506/1/FCM_FSC_FILES.zip</url>
          </file>
        </files>
        <eprintid>1506</eprintid>
        <pos>1</pos>
        <placement>1</placement>
        <mime_type>application/zip</mime_type>
        <format>Text</format>
        <language>en</language>
        <security>public</security>
        <license>cc_by_4</license>
        <main>FCM_FSC_FILES.zip</main>
        <content>data</content>
      </document>
      <document id='https://researchdata.gla.ac.uk/id/document/5972'>
        <docid>5972</docid>
        <rev_number>2</rev_number>
        <files>
          <file id='https://researchdata.gla.ac.uk/id/file/32382'>
            <fileid>32382</fileid>
            <datasetid>document</datasetid>
            <objectid>5972</objectid>
            <filename>Sample_Info.txt</filename>
            <mime_type>text/plain</mime_type>
            <hash>10ea402cd76a960b9e1412456af8f82a</hash>
            <hash_type>MD5</hash_type>
            <filesize>555</filesize>
            <mtime>2023-10-09 13:39:25</mtime>
            <url>https://researchdata.gla.ac.uk/1506/2/Sample_Info.txt</url>
          </file>
        </files>
        <eprintid>1506</eprintid>
        <pos>2</pos>
        <placement>2</placement>
        <mime_type>text/plain</mime_type>
        <format>Text</format>
        <language>en</language>
        <security>public</security>
        <license>cc_by_4</license>
        <main>Sample_Info.txt</main>
        <content>readme</content>
      </document>
      <document id='https://researchdata.gla.ac.uk/id/document/5973'>
        <docid>5973</docid>
        <rev_number>1</rev_number>
        <files>
          <file id='https://researchdata.gla.ac.uk/id/file/32393'>
            <fileid>32393</fileid>
            <datasetid>document</datasetid>
            <objectid>5973</objectid>
            <filename>indexcodes.txt</filename>
            <mime_type>text/plain</mime_type>
            <hash>b91fd109a37d2dc0e655a5a98b9ff000</hash>
            <hash_type>MD5</hash_type>
            <filesize>317</filesize>
            <mtime>2023-10-09 13:59:41</mtime>
            <url>https://researchdata.gla.ac.uk/1506/3/indexcodes.txt</url>
          </file>
        </files>
        <eprintid>1506</eprintid>
        <pos>3</pos>
        <placement>3</placement>
        <mime_type>text/plain</mime_type>
        <format>other</format>
        <formatdesc>Generate index codes conversion from Text to indexcodes</formatdesc>
        <language>en</language>
        <security>public</security>
        <main>indexcodes.txt</main>
        <relation>
          <item>
            <type>http://eprints.org/relation/isVersionOf</type>
            <uri>https://researchdata.gla.ac.uk/id/document/5972</uri>
          </item>
          <item>
            <type>http://eprints.org/relation/isVolatileVersionOf</type>
            <uri>https://researchdata.gla.ac.uk/id/document/5972</uri>
          </item>
          <item>
            <type>http://eprints.org/relation/isIndexCodesVersionOf</type>
            <uri>https://researchdata.gla.ac.uk/id/document/5972</uri>
          </item>
        </relation>
      </document>
    </documents>
    <eprint_status>archive</eprint_status>
    <userid>5</userid>
    <dir>disk0/00/00/15/06</dir>
    <datestamp>2023-10-09 13:56:30</datestamp>
    <lastmod>2025-06-05 12:45:29</lastmod>
    <status_changed>2023-10-09 13:56:30</status_changed>
    <type>data_collection</type>
    <metadata_visibility>show</metadata_visibility>
    <creators>
      <item>
        <name>
          <family>Vignola</family>
          <given>Marta</given>
        </name>
        <enlightenid>43487</enlightenid>
        <orcid>0000-0002-3457-5748</orcid>
      </item>
    </creators>
    <uniqueid>glaresearchdata:2023-10-09-1506</uniqueid>
    <title>Differential utilisation of dissolved organic matter compound fractions by different biofilter microbial communities</title>
    <ispublished>pub</ispublished>
    <divisions>
      <item>30300000</item>
    </divisions>
    <note>Funding also acknowledged from Royal Academy of Engineering (RCSRF171864) and EU Horizon 2020 (949495)</note>
    <abstract>Flowcytometric analyses of different inocula from a biofilters over a 36h period.</abstract>
    <date>2023-10-09</date>
    <date_type>published</date_type>
    <publisher>University of Glasgow</publisher>
    <id_number>10.5525/gla.researchdata.1506</id_number>
    <data_type>
      <item>Spreadsheet</item>
      <item>Text</item>
    </data_type>
    <copyright_holders>
      <item>University of Glasgow</item>
    </copyright_holders>
    <funding>
      <item>
        <project_code>305420</project_code>
        <project_name>Eco-Engineered Biofilters For Sustainable Removal Of Pesticides In Drinking Water</project_name>
        <investigator_name>Marta Vignola</investigator_name>
        <funder_name>Royal Academy of Engineering (RAE)</funder_name>
        <funder_code>RF\201819\18\19</funder_code>
        <investigator_dept>ENG - Infrastructure &amp; Environment</investigator_dept>
      </item>
      <item>
        <project_code>170256</project_code>
        <project_name>Understanding microbial community through in situ environmental &apos;omic data synthesis</project_name>
        <investigator_name>Umer Zeeshan Ijaz</investigator_name>
        <funder_name>Natural Environment Research Council (NERC)</funder_name>
        <funder_code>NE/L011956/1</funder_code>
        <investigator_dept>ENG - Infrastructure &amp; Environment</investigator_dept>
      </item>
      <item>
        <project_code>309846</project_code>
        <project_name>Decentralised water technologies</project_name>
        <investigator_name>William Sloan</investigator_name>
        <funder_name>Engineering and Physical Sciences Research Council (EPSRC)</funder_name>
        <funder_code>EP/V030515/1</funder_code>
        <investigator_dept>ENG - Infrastructure &amp; Environment</investigator_dept>
      </item>
    </funding>
    <pending>FALSE</pending>
    <language>EN</language>
    <collection_date>
      <date_from>2018-12</date_from>
      <date_to>2019-03</date_to>
    </collection_date>
    <related_resources>
      <item>
        <url>https://doi.org/10.2166/aqua.2023.036</url>
        <type>article</type>
      </item>
    </related_resources>
    <retention_date>2033-10-09</retention_date>
    <retention_action>R</retention_action>
    <dataset_origin>
      <item>file_share</item>
    </dataset_origin>
    <ingest_data>
      <item>
      </item>
      <item>
      </item>
    </ingest_data>
    <archive_data>
      <item>
      </item>
      <item>
      </item>
    </archive_data>
    <ethics_consent_required>FALSE</ethics_consent_required>
    <request_copy>FALSE</request_copy>
  </eprint>
</eprints>
