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        <datestamp>2026-09-28T03:00:24Z</datestamp>
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          <dc:title>An industrial baker's-yeast fed-batch fermentation dataset of 59 production batches</dc:title>
          <dc:creator>LEI ZHAO (22266391)</dc:creator>
          <dc:creator>changning ren (24546365)</dc:creator>
          <dc:creator>Yinuo Wang (385434)</dc:creator>
          <dc:creator>Yao Wu (598978)</dc:creator>
          <dc:creator>Ling Kang (22283965)</dc:creator>
          <dc:creator>Quan Guo (24546369)</dc:creator>
          <dc:subject>Fermentation</dc:subject>
          <dc:subject>Bioprocessing, bioproduction and bioproducts</dc:subject>
          <dc:subject>Yeast fermentation</dc:subject>
          <dc:subject>Expert process records</dc:subject>
          <dc:subject>Time-series dataset</dc:subject>
          <dc:subject>Industrial process data</dc:subject>
          <dc:subject>Sugar feed rate</dc:subject>
          <dc:subject>Nutrient addition</dc:subject>
          <dc:subject>Fed-batch culture</dc:subject>
          <dc:description>&lt;p dir="ltr"&gt;This release provides cleaned, analysis-ready CSV files digitized from industrial baker’s-yeast (&lt;i&gt;Saccharomyces&lt;/i&gt;) fed-batch fermentation PDF batch logs. The PDF sheets were completed by experienced plant operators and technicians based on on-site measurements and observations during production. Original PDF sheets are not redistributed with this package. The dataset supports research on nutrient (primarily sugar) feed-rate prediction, process monitoring, and machine-learning models for fed-batch fermentation control.&lt;/p&gt;</dc:description>
          <dc:date>2026-09-28T03:00:24Z</dc:date>
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          <dc:identifier>10.6084/m9.figshare.33201579.v6</dc:identifier>
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          <dc:rights>CC BY 4.0</dc:rights>
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