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          <family>Elstone</family>
          <given>Naomi</given>
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    <title>Dataset supporting &quot;In situ X-ray reflectivity and GISAXS study of mesoporous silica films grown from sodium silicate solution precursors&quot;</title>
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      <item>dept_chem</item>
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    <keywords>small angle scattering, silica film, air-solution interface, X-ray reflectivity, grazing incidence small angle scattering</keywords>
    <note>SAXS data has three columns: Q (x axis), scattering intensity (y axis) and error for scattering intensity. GISAXS data are images. XRR data has three columns: Q as x axis, reflectivity (y axis) and error in y axis. Surface pressure data contains two columns: time and surface pressure.</note>
    <abstract>This dataset includes data relating to mesoporous silica films grown from sodium silicate solution precursors: dynamic light scattering (DLS) data for solutions containing cetrimonium bromide and sodium nitrate; small angle X-ray scattering (SAXS) data for films contain cetyltrimethylammonium bromide (CTAB), silica and polyethylenimine (PEI), and silica film; thermogravimetric analysis (TGA) data recording the decomposition of CTAB–PEI–silica in air with temperature; in-situ X-ray reflectivity (XRR) data, surface pressure data, and grazing incidence X-ray scattering (GISAXS) data for the interface between the solution (sodium silicate, CTAB, PEI) and air; and nitrogen sorption data.</abstract>
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    <publisher>University of Bath</publisher>
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        <grant_id>EP/L016354/1</grant_id>
        <project_name>EPSRC Centre for Doctoral Training in Sustainable Chemical Technologies</project_name>
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        <funder_name>China Scholarship Council</funder_name>
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        <project_name>PhD Studentship</project_name>
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    <collection_method>Full details of the methodology can be found in the Experimental section of the associated paper.</collection_method>
    <provenance>The XRR data were normalised.</provenance>
    <techinfo>All the data are plotted in Igor Pro software, https://www.wavemetrics.com/.</techinfo>
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      <item>https://doi.org/10.1016/j.micromeso.2022.112018</item>
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    <doi>10.15125/BATH-01151</doi>
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