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A 2D seismic reflection dataset of the Caosiyao giant porphyry Mo deposit in the shallow coverage area in Jining, Inner Mongolia, China

<p>Our paper, &#39;<strong>A 2D seismic reflection</strong>&nbsp;<strong>dataset of the Caosiyao giant porphyry Mo deposit in the shallow coverage area in Jining, Inner Mongolia, China</strong>&#39; in&nbsp;<strong>Geoscience Data Journal,&nbsp;</strong>provides a new open dataset for the Caosiyao deposit area to address the paucity of&nbsp;publicly accessible geophysical datasets in shallow covered areas or hardrock areas.</p> <p>Three two-dimensional (2D) seismic reflection exploration profiles (profile 3, 8 and 16) were completed in the Caosiyao deposit area with a total length of 20 km, 488 shots were stimulated by the combination of double-couple seismic sources.&nbsp;In the Caosiyao deposit area, three two-dimensional (2D) seismic reflection exploration profiles (profiles 3, 8 and 16) totaling 20 km in length were completed. The combination of double-couple seismic sources triggered 488 shots.&nbsp;Briefly, the files consist of 488 shots in Caosiyao deposit area: &lsquo;Caosiyao - seismic profile 3&rsquo; contains 88 single shot records; &lsquo;Caosiyao - seismic profile 8&rsquo; and &lsquo;Caosiyao - seismic profile 16&rsquo; both contains 200 single shot records.&nbsp;In addition, all 2D reflection seismic single-shot data are in SEGD format.&nbsp;</p> <p>The international advanced super detector and double controllable seismic source combined excitation instruments were used to guarantee acquisition quality and acquisition depth.&nbsp;The controllable seismic source combination of a 2013 French Nomad-65, weighing 65000 pounds (28 tons), was employed for excitation, and a Sercel 428XL digital seismic acquisition equipment was used for recording.</p> <p>We thoroughly analyze the seismic profile 8, and our dataset afterwards contributes to a better comprehension of the&nbsp;deep geological structures of the research area and delineate the location of the shallow and deep rock masses.</p> <p>Note: The datasets given are protected with password, and the password is available in our published paper.</p>