Grain Size Distribution of slickenlines from Plan de los Platanos and Big Piute Faults

<p>Grain Size Distribution (GSD) of&nbsp;Plan de Platanos (<strong>PP</strong>) and Big Piute (<strong>BP</strong>) Fault Slickenlines</p> <p>Grains were manually segmented from images&nbsp;of increasing magnifications obtained through optical&nbsp;and SEM microscopy. The size of the grains was then estimated from the grains&#39; area by calculating&nbsp;the diameter (<strong>d_equ</strong>) of a circle of equivalent area.</p> <p><strong>Instruments:</strong></p> <ul> <li>ZEISS AX10 Petrographic microscope</li> <li>ZEISS Merlin HR-SEM (BSE)</li> </ul> <p><strong>PP</strong>---&gt; sample <strong>PP_AU01a</strong>_--&gt; Orientation <strong>XZ</strong>----&gt;N=8617-----&gt;andesite</p> <p><strong>BP</strong>---&gt; sample <strong>BP_07b</strong>--&gt; Orientation <strong>YZ</strong>----&gt;N=11425------&gt;quartzite</p> <p><strong>Unit&nbsp; of length (1st colum): </strong>micro meters <strong>(&micro;m</strong>)</p> <p>We use Tikoff et al (2019) naming convention for thin section orientation.</p> <p>&nbsp;</p> <p>&nbsp;</p> <p>&nbsp;</p> <p>Tikoff, B., Chatzaras, V., Newman, J., &amp; Roberts, N. M. (2019). Big data in microstructure analysis: Building a universal orientation system for thin sections. <em>Journal of Structural Geology</em>, <em>125</em>, 226&ndash;234. https://doi.org/10.1016/j.jsg.2018.09.019</p>