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@@ -876,15 +876,15 @@ <h2 class="anchored" data-anchor-id="downloading-data">Downloading Data</h2>
 <span id="cb2-2"><a href="#cb2-2" aria-hidden="true" tabindex="-1"></a><span class="ex">--content-disposition</span> <span class="at">-i</span> list.txt</span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
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-<p>If you run into any issue, here are step-to-step guild on <a href="https://disc.gsfc.nasa.gov/information/howto?title=How%20to%20Access%20GES%20DISC%20Data%20Using%20wget%20and%20curl">how to work with wget and curl specifically to the GES DISC data system</a>.</p>
+<p>If you encounter any issue, follow this step-by-step guide on <a href="https://disc.gsfc.nasa.gov/information/howto?title=How%20to%20Access%20GES%20DISC%20Data%20Using%20wget%20and%20curl">using wget and curl specifically with the GES DISC data system</a>.</p>
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 <section id="data-format-and-structure" class="level3">
 <h3 class="anchored" data-anchor-id="data-format-and-structure">Data format and structure</h3>
-<p>CSV and TXT are common formats for storing data. In addition, other formats frequently used in research include NetCDF, HDF5, Matlab, and Rdata/rds, as well as spatial related datasets, such as geotiff, shapefiles and raster files (see spatial module for details).</p>
-<p>In the R environment, data structure is commonly check using a few functions listed below.</p>
+<p>CSV and TXT are common formats for data storage. In addition, formats like NetCDF, HDF5, Matlab, and Rdata/RDS are frequently used in research, along with spatial datasets such as geotiff, shapefiles, and raster files (refer to the spatial module for more details).</p>
+<p>In the R environment, data structure are typically checked using the following functions.</p>
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 <div class="sourceCode cell-code" id="cb3"><pre class="sourceCode r code-with-copy"><code class="sourceCode r"><span id="cb3-1"><a href="#cb3-1" aria-hidden="true" tabindex="-1"></a><span class="fu">library</span>(dplyr)</span>
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