Dataset Open Access
Salikhova, Ekaterina; Mews, Alf; Schlicke, Hendrik; Niehaus, Jan Steffen
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<identifier identifierType="DOI">10.25592/uhhfdm.18264</identifier>
<creators>
<creator>
<creatorName>Salikhova, Ekaterina</creatorName>
<affiliation>University of Hamburg, Fraunhofer IAP-CAN</affiliation>
</creator>
<creator>
<creatorName>Mews, Alf</creatorName>
<affiliation>University of Hamburg</affiliation>
</creator>
<creator>
<creatorName>Schlicke, Hendrik</creatorName>
<affiliation>Leibniz Institute of Polymer Research Dresden, Fraunhofer IAP-CAN</affiliation>
</creator>
<creator>
<creatorName>Niehaus, Jan Steffen</creatorName>
<affiliation>Fraunhofer IAP-CAN</affiliation>
</creator>
</creators>
<titles>
<title>Supplementary Data: Colloidal synthesis of large near-bulk InAs quantum dots through seeded and seedless growth using cluster precursors</title>
</titles>
<publisher>Universität Hamburg</publisher>
<publicationYear>2026</publicationYear>
<dates>
<date dateType="Issued">2026-01-28</date>
</dates>
<resourceType resourceTypeGeneral="Dataset"/>
<alternateIdentifiers>
<alternateIdentifier alternateIdentifierType="url">https://www.fdr.uni-hamburg.de/record/18264</alternateIdentifier>
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<relatedIdentifiers>
<relatedIdentifier relatedIdentifierType="DOI" relationType="IsSupplementTo">10.26434/chemrxiv-2025-hgkl3</relatedIdentifier>
<relatedIdentifier relatedIdentifierType="DOI" relationType="IsPartOf">10.25592/uhhfdm.18263</relatedIdentifier>
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<rightsList>
<rights rightsURI="https://creativecommons.org/licenses/by/4.0/legalcode">Creative Commons Attribution 4.0 International</rights>
<rights rightsURI="info:eu-repo/semantics/openAccess">Open Access</rights>
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<descriptions>
<description descriptionType="Abstract"><p>Data supporting the findings of the study: &#39;Colloidal synthesis of large near-bulk InAs quantum dots through seeded and seedless growth using cluster precursors&#39;. Includes absorption, ATR-IR, XRD, TEM, HR-TEM, SAED, and SEM measurements.&nbsp;</p></description>
<description descriptionType="Other">The project has received funding from the European Union`s Horizon 2020 research and innovation programme under grant agreement No 101016734.</description>
</descriptions>
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