<?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/1117'>
    <eprintid>1117</eprintid>
    <rev_number>13</rev_number>
    <documents>
      <document id='https://researchdata.gla.ac.uk/id/document/4407'>
        <docid>4407</docid>
        <rev_number>2</rev_number>
        <files>
          <file id='https://researchdata.gla.ac.uk/id/file/22634'>
            <fileid>22634</fileid>
            <datasetid>document</datasetid>
            <objectid>4407</objectid>
            <filename>Data_Sarker.xlsx</filename>
            <mime_type>application/vnd.openxmlformats-officedocument.spreadsheetml.sheet</mime_type>
            <hash>bbedaa6cec3a670828c24f349dae9db6</hash>
            <hash_type>MD5</hash_type>
            <filesize>242787</filesize>
            <mtime>2021-02-11 11:22:07</mtime>
            <url>https://researchdata.gla.ac.uk/1117/1/Data_Sarker.xlsx</url>
          </file>
        </files>
        <eprintid>1117</eprintid>
        <pos>1</pos>
        <placement>1</placement>
        <mime_type>application/vnd.openxmlformats-officedocument.spreadsheetml.sheet</mime_type>
        <format>Spreadsheet</format>
        <language>en</language>
        <security>public</security>
        <license>cc_by_4</license>
        <main>Data_Sarker.xlsx</main>
        <content>data</content>
      </document>
      <document id='https://researchdata.gla.ac.uk/id/document/4408'>
        <docid>4408</docid>
        <rev_number>2</rev_number>
        <files>
          <file id='https://researchdata.gla.ac.uk/id/file/22636'>
            <fileid>22636</fileid>
            <datasetid>document</datasetid>
            <objectid>4408</objectid>
            <filename>readme.txt</filename>
            <mime_type>text/plain</mime_type>
            <hash>aff96e4848212505498375117e4a5343</hash>
            <hash_type>MD5</hash_type>
            <filesize>7737</filesize>
            <mtime>2021-02-11 11:22:12</mtime>
            <url>https://researchdata.gla.ac.uk/1117/2/readme.txt</url>
          </file>
        </files>
        <eprintid>1117</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>readme.txt</main>
        <content>readme</content>
      </document>
      <document id='https://researchdata.gla.ac.uk/id/document/4409'>
        <docid>4409</docid>
        <rev_number>1</rev_number>
        <files>
          <file id='https://researchdata.gla.ac.uk/id/file/22641'>
            <fileid>22641</fileid>
            <datasetid>document</datasetid>
            <objectid>4409</objectid>
            <filename>indexcodes.txt</filename>
            <mime_type>text/plain</mime_type>
            <hash>7b7b7c574e1d0e8c98ad4b7cbe81e1f8</hash>
            <hash_type>MD5</hash_type>
            <filesize>3519</filesize>
            <mtime>2021-02-11 11:31:47</mtime>
            <url>https://researchdata.gla.ac.uk/1117/3/indexcodes.txt</url>
          </file>
        </files>
        <eprintid>1117</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/4408</uri>
          </item>
          <item>
            <type>http://eprints.org/relation/isVolatileVersionOf</type>
            <uri>https://researchdata.gla.ac.uk/id/document/4408</uri>
          </item>
          <item>
            <type>http://eprints.org/relation/isIndexCodesVersionOf</type>
            <uri>https://researchdata.gla.ac.uk/id/document/4408</uri>
          </item>
        </relation>
      </document>
    </documents>
    <eprint_status>archive</eprint_status>
    <userid>5</userid>
    <dir>disk0/00/00/11/17</dir>
    <datestamp>2021-02-11 11:39:03</datestamp>
    <lastmod>2024-01-19 16:49:01</lastmod>
    <status_changed>2021-02-11 11:39:03</status_changed>
    <type>data_collection</type>
    <metadata_visibility>show</metadata_visibility>
    <creators>
      <item>
        <name>
          <family>Sarker</family>
          <given>Swapan Kumar</given>
        </name>
        <orcid>0000-0002-9933-0493</orcid>
      </item>
      <item>
        <name>
          <family>Reeve</family>
          <given>Richard</given>
        </name>
        <enlightenid>11344</enlightenid>
        <orcid>0000-0003-2589-8091</orcid>
      </item>
      <item>
        <name>
          <family>Matthiopoulos</family>
          <given>Jason</given>
        </name>
        <enlightenid>29488</enlightenid>
        <orcid>0000-0003-3639-8172</orcid>
      </item>
    </creators>
    <uniqueid>glaresearchdata:2021-02-11-1117</uniqueid>
    <title>Solving the fourth-corner problem: Forecasting ecosystem primary production from spatial multispecies trait-based models</title>
    <ispublished>pub</ispublished>
    <divisions>
      <item>20300000</item>
    </divisions>
    <note>Funding acknowledged from Commonwealth Scholarship Commission, United Kingdom. Code: BDCA-2013-6</note>
    <abstract>The dataset contains environmental (Excel Sheet 1), species counts (Excel Sheet 2), and functional trait (Excel Sheet 3) data collected from the Sundarbans mangrove forest in Bangladesh.</abstract>
    <date>2021-02-11</date>
    <date_type>published</date_type>
    <publisher>University of Glasgow</publisher>
    <id_number>10.5525/gla.researchdata.1117</id_number>
    <data_type>
      <item>Spreadsheet</item>
      <item>Text</item>
    </data_type>
    <copyright_holders>
      <item>Dr Swapan Kumar Sarker</item>
    </copyright_holders>
    <pending>FALSE</pending>
    <language>EN</language>
    <collection_date>
      <date_from>2014-01</date_from>
      <date_to>2014-06</date_to>
    </collection_date>
    <retention_date>2031-02-11</retention_date>
    <retention_action>R</retention_action>
    <ethics_consent_required>FALSE</ethics_consent_required>
    <request_copy>FALSE</request_copy>
    <repo_link>
      <item>
        <title>Solving the fourth-corner problem: forecasting ecosystem primary production from spatial multispecies trait-based models</title>
        <link>http://eprints.gla.ac.uk/id/eprint/238522</link>
      </item>
    </repo_link>
  </eprint>
</eprints>
