<?xml version='1.0' encoding='utf-8'?>
<documents xmlns='http://eprints.org/ep2/data/2.0'>
  <document id='https://data.kent.ac.uk/id/document/2325'>
    <docid>2325</docid>
    <rev_number>5</rev_number>
    <files>
      <file id='https://data.kent.ac.uk/id/file/8561'>
        <fileid>8561</fileid>
        <datasetid>document</datasetid>
        <objectid>2325</objectid>
        <filename>Composition_4_Mashine 8-channel.zip</filename>
        <mime_type>application/zip</mime_type>
        <hash>9d23fb7712a682fd91af5a40153ea8ca</hash>
        <hash_type>MD5</hash_type>
        <filesize>345899053</filesize>
        <mtime>2025-07-22 11:46:01</mtime>
        <url>https://data.kent.ac.uk/583/4/Composition_4_Mashine%208-channel.zip</url>
      </file>
    </files>
    <eprintid>583</eprintid>
    <pos>4</pos>
    <placement>5</placement>
    <mime_type>application/zip</mime_type>
    <format>archive</format>
    <formatdesc>Mashine is a multi-channel (8-channel) composition that premiered in 2023 at the University of Greenwich&apos;s Sound/Image23 Conference and again at BEAST FEaST 2025 at the University of Birmingham. The word Mashine is Swahili for Machine.</formatdesc>
    <language>en</language>
    <security>staffonly</security>
    <license>cc_by_4</license>
    <main>Composition_4_Mashine 8-channel.zip</main>
    <date_embargo>2026-07</date_embargo>
    <content>data</content>
  </document>
</documents>
