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        <identifier>oai:researchdata.tuwien.ac.at:jm9f3-eh578</identifier>
        <datestamp>2025-12-15T15:18:53Z</datestamp>
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              <identifier identifierType="DOI">10.48436/jm9f3-eh578</identifier>
              <alternateIdentifiers>
                <alternateIdentifier alternateIdentifierType="oai">oai:researchdata.tuwien.ac.at:jm9f3-eh578</alternateIdentifier>
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              <creators>
                <creator>
                  <creatorName nameType="Personal">Huang, Zheao</creatorName>
                  <givenName>Zheao</givenName>
                  <familyName>Huang</familyName>
                  <nameIdentifier nameIdentifierScheme="ORCID">0000-0002-4715-4598</nameIdentifier>
                  <affiliation affiliationIdentifier="https://ror.org/04d836q62" affiliationIdentifierScheme="ROR">TU Wien</affiliation>
                </creator>
              </creators>
              <titles>
                <title>Strategic Secondary Ligand Selection for Enhanced Pore-Type Construction and Water Purification Capacity in Zeolitic Imidazolate Frameworks</title>
              </titles>
              <publisher>ACS Applied Materials &amp; Interfaces in American Chemical Society (ACS)</publisher>
              <publicationYear>2025</publicationYear>
              <subjects>
                <subject subjectScheme="FOS">Chemical sciences</subject>
              </subjects>
              <contributors>
                <contributor contributorType="DataCollector">
                  <contributorName nameType="Personal">Naghdi, Shaghayegh</contributorName>
                  <givenName>Shaghayegh</givenName>
                  <familyName>Naghdi</familyName>
                  <nameIdentifier nameIdentifierScheme="ORCID">0000-0001-7738-2607</nameIdentifier>
                  <affiliation affiliationIdentifier="https://ror.org/04d836q62" affiliationIdentifierScheme="ROR">TU Wien</affiliation>
                </contributor>
                <contributor contributorType="DataCollector">
                  <contributorName nameType="Personal">Ertl, Adrian</contributorName>
                  <givenName>Adrian</givenName>
                  <familyName>Ertl</familyName>
                  <nameIdentifier nameIdentifierScheme="ORCID">0009-0008-2221-388X</nameIdentifier>
                  <affiliation>TU Wien</affiliation>
                </contributor>
                <contributor contributorType="Editor">
                  <contributorName nameType="Personal">Eder, Dominik</contributorName>
                  <givenName>Dominik</givenName>
                  <familyName>Eder</familyName>
                  <nameIdentifier nameIdentifierScheme="ORCID">0000-0002-5395-564X</nameIdentifier>
                  <affiliation>TU Wien</affiliation>
                </contributor>
              </contributors>
              <dates>
                <date dateType="Issued">2025-03-30</date>
                <date dateType="Accepted">2025-03-20</date>
                <date dateType="Updated">2025-12-15</date>
              </dates>
              <language>eng</language>
              <resourceType resourceTypeGeneral="Dataset"></resourceType>
              <relatedIdentifiers>
                <relatedIdentifier relatedIdentifierType="DOI" relationType="IsSupplementTo" resourceTypeGeneral="JournalArticle">10.1021/acsami.4c21221</relatedIdentifier>
                <relatedIdentifier relatedIdentifierType="DOI" relationType="IsVersionOf">10.48436/mg4y7-6qn61</relatedIdentifier>
              </relatedIdentifiers>
              <rightsList>
                <rights rightsURI="https://creativecommons.org/licenses/by/4.0/legalcode" rightsIdentifierScheme="spdx" rightsIdentifier="cc-by-4.0">Creative Commons Attribution 4.0 International</rights>
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              <descriptions>
                <description descriptionType="Abstract">Context and Methodology

This dataset contains the primary experimental data supporting the research article published in ACS Applied Materials &amp; Interfaces (DOI: 10.1021/acsami.4c21221).

The files provide the raw and processed data used to characterize the structure, surface properties, and adsorption performance of the synthesized materials. For detailed synthesis protocols, experimental conditions, and comprehensive discussion of these results, please refer to the original publication and its Supplementary Information.

Technical Details 1. Dataset Structure: The dataset is organized by characterization technique.





File Format: Characterization and performance data are provided in .xlsx (Microsoft Excel) format. 




Sample Identification: Inside each file, data columns or individual spectra are clearly labeled with the Sample Names/Numbers corresponding to those used in the manuscript.



2. File Descriptions:





XRD.xlsx: Powder X-ray Diffraction (PXRD) patterns for structural analysis.




IR.xlsx: Infrared Spectroscopy (FTIR) data.




N2 physisorption isotherm.xlsx: Nitrogen adsorption-desorption isotherms, including BET surface area and pore size distribution calculations.




Methylene blue adsorption.xlsx: Data representing the adsorption capacity of the materials towards Methylene Blue, including kinetic and isotherm studies.




NMR.xlsx: Nuclear Magnetic Resonance spectra data.



3. Software Requirements:





General Data: .xlsx files can be opened with Microsoft Excel, LibreOffice, or any standard spreadsheet application.



Further Details Users are kindly requested to cite the original article when reusing this dataset.</description>
              </descriptions>
              <fundingReferences>
                <fundingReference>
                  <funderName>FWF Austrian Science Fund</funderName>
                  <funderIdentifier funderIdentifierType="ROR">013tf3c58</funderIdentifier>
                  <awardNumber>FWF: I5413-N</awardNumber>
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                <fundingReference>
                  <funderName>FWF Austrian Science Fund</funderName>
                  <funderIdentifier funderIdentifierType="ROR">013tf3c58</funderIdentifier>
                  <awardNumber>MECS: 10.55776/COE5</awardNumber>
                  <awardTitle>Cluster of Excellence MECS</awardTitle>
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