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Main Authors: Lalonde, Jessica, Pacheco, Sara, Talapatra, Anjana, Gonzalez Esquer, Cesar, Marrone, Babetta
Format: Recurso digital
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Published: Zenodo 2026
Online Access:https://doi.org/10.5281/zenodo.18422741
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author Lalonde, Jessica
Pacheco, Sara
Talapatra, Anjana
Gonzalez Esquer, Cesar
Marrone, Babetta
author_facet Lalonde, Jessica
Pacheco, Sara
Talapatra, Anjana
Gonzalez Esquer, Cesar
Marrone, Babetta
contents <p>This Zenodo record contains datasets and analysis notebooks supporting the manuscript:<br><br>Lalonde et al., “Data-Driven Insights to Accelerate Advanced Biomanufacturing,” submitted to RSC Digital Discovery (2026).<br><br>The datasets describe literature-derived cultivation experiments for polyhydroxybutyrate (PHB) production in Synechocystis sp. PCC 6803 and were used for machine-learning model development, interpretation, and experimental validation.</p>
format Recurso digital
id zenodo_https___doi_org_10_5281_zenodo_18422741
institution Zenodo
language
publishDate 2026
publisher Zenodo
record_format zenodo
spellingShingle Data and Code for Data-Driven Insights to Accelerate Advanced Biomanufacturing
Lalonde, Jessica
Pacheco, Sara
Talapatra, Anjana
Gonzalez Esquer, Cesar
Marrone, Babetta
<p>This Zenodo record contains datasets and analysis notebooks supporting the manuscript:<br><br>Lalonde et al., “Data-Driven Insights to Accelerate Advanced Biomanufacturing,” submitted to RSC Digital Discovery (2026).<br><br>The datasets describe literature-derived cultivation experiments for polyhydroxybutyrate (PHB) production in Synechocystis sp. PCC 6803 and were used for machine-learning model development, interpretation, and experimental validation.</p>
title Data and Code for Data-Driven Insights to Accelerate Advanced Biomanufacturing
url https://doi.org/10.5281/zenodo.18422741