Replication data for: "Efficient synthesis of well-defined ordered mesoporous aluminosilicates with tailorable acidity"

<p>
This dataset contains all primary and/or processed data underlying the publication <em>"Efficient synthesis of well-defined ordered mesoporous aluminosilicates with tailorable acidity"</em>. The publication reports the synthesis and characterization of ordered mesoporous aluminosilicates by direct liquid crystal templating.<br>
<a href="https://doi.org/10.1016/j.micromeso.2025.113991">Take a look at the publication</a>
</p>

<p>
Data files are grouped by measurement method, including (but not limited to):
</p>
<ul>
<li><sup>27</sup>Al solid state NMR </li>
<li>Total scattering and pair distribution function (PDF) </li>
<li>Nitrogen physisorption </li>
<li>Pyridine-loaded FTIR spectroscopy (Py-FTIR) </li>
<li>Small-angle X-ray scattering (SAXS) </li>
</ul>

<p>Sample names follow the denomination:</p>
<ul>
<li><code>OMAS_x/1_Tyy</code> — where <em>OMAS</em> = ordered mesoporous aluminosilicate; <em>x/1</em> = molar Si/Al ratio; <em>Tyy</em> = polycondensation temperature in °C.</li>
<li><code>OMS_Tyy</code> — where <em>OMS</em> = ordered mesoporous silica; <em>Tyy</em> = polycondensation temperature in °C.</li>
</ul>

<p>
These datasets support the analysis of how aluminum content and polycondensation temperature influence structural order, pore size, and surface acidity in OMAS.
</p>