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    <datestamp>2025-05-09 09:43:48</datestamp>
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    <metadata_visibility>show</metadata_visibility>
    <creators>
      <item>
        <name>
          <family>Phillips</family>
          <given>David</given>
        </name>
        <id>dp569@bath.ac.uk</id>
        <affiliation>University of Bath</affiliation>
        <contact>TRUE</contact>
      </item>
    </creators>
    <contributors>
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        <type>Supervisor</type>
        <name>
          <family>Moise</family>
          <given>Sandhya</given>
        </name>
        <id>S.Moise@bath.ac.uk</id>
        <orcid>0000-0002-9475-4852</orcid>
        <affiliation>University of Bath</affiliation>
      </item>
      <item>
        <type>Supervisor</type>
        <name>
          <family>Ellis</family>
          <given>Marianne</given>
        </name>
        <id>M.J.Ellis@bath.ac.uk</id>
        <orcid>0000-0003-4155-0853</orcid>
        <affiliation>University of Bath; Cellesce</affiliation>
      </item>
      <item>
        <type>Other</type>
        <name>
          <family>Frayne</family>
          <given>Jan</given>
        </name>
        <id>Jan.Frayne@bristol.ac.uk</id>
        <orcid>0000-0002-1113-7761</orcid>
        <affiliation>University of Bristol</affiliation>
      </item>
    </contributors>
    <title>Dataset for &quot;Characterising a novel adult erythroid cell line for red blood cell manufacture&quot;</title>
    <subjects>
      <item>BV0050</item>
      <item>CD0030</item>
      <item>JK0010</item>
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      <item>dept_chem_eng</item>
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    <keywords>BEL-A, Red Blood Cell, Bioprocessing, Erythrocyte, Bioprocess Engineering</keywords>
    <abstract>This dataset contains information from a study characterising the Bristol Erythroid Line-A (BEL-A) cell line for mass production, including growth and metabolic kinetics of BEL-A cells, effect of doxycycline, impact of (and tolerance to) lactate and ammonia, and impact of high density culture. Data is provided in an Excel file with individual tabs containing the dataset for each experiment, and comprises live and dead cell numbers, nutrient/metabolite concentrations, and pH measurements.</abstract>
    <date>2025-05-06</date>
    <publisher>University of Bath</publisher>
    <full_text_status>public</full_text_status>
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        <funder_name>Engineering and Physical Sciences Research Council</funder_name>
        <funder_id>https://doi.org/10.13039/501100000266</funder_id>
        <grant_id>EP/N509589/1</grant_id>
        <project_name>DTP 2016-2017 University of Bath</project_name>
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      <item>
        <funder_name>Engineering and Physical Sciences Research Council</funder_name>
        <funder_id>https://doi.org/10.13039/501100000266</funder_id>
        <grant_id>EP/R513155/1</grant_id>
        <project_name>DTP 2018-19 University of Bath</project_name>
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    <research_centres>
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    <collection_method>For details of the data acquisition experiments, refer to the &quot;Materials and Methods&quot; section in the associated paper.</collection_method>
    <techinfo>Microsoft Excel software was used to create the data file.</techinfo>
    <language>en</language>
    <version>1</version>
    <doi>10.15125/BATH-01456</doi>
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        <link>https://doi.org/10.1002/btm2.70026</link>
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