October 21, 2021 Dataset Open Access

Ryberg, Trond; Kirsch, Moritz; Haberland, Christian; Tolosana Delgado, Raimon; Viezzoli, Andrea; Gloaguen, Richard

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    <subfield code="a">Instruments for the seismic network were provided by the Geophysical Instrument Pool Potsdam (GIPP, GFZ), grant GIPP202010.</subfield>
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    <subfield code="a">&lt;p&gt;As a means of investigating the structure of the geological subsurface and delineating Sn-W-Li greisen-hosted&amp;nbsp;mineral deposits in the Geyer-Ehrenfriedersdorf area, Central&amp;nbsp;Erzgebirge, Germany, we collected an ambient noise dataset which was supplemented and analysed together with&amp;nbsp;airborne time-domain&amp;nbsp;electromagnetic data. The here presented dataset is a combined three-dimensional block model containing the following parameters:&lt;/p&gt;

&lt;p&gt;(X), (Y), (Z) &amp;ndash; Coordinates of the block model center nodes in ETRS89 UTM33N coordinates.&lt;/p&gt;

&lt;p&gt;(PS_vel) &amp;ndash; Shear wave velocity&amp;nbsp;based on ambient noise data from a dense &amp;quot;LARGE-N&amp;quot; network comprising 400 low-power, short-period seismic stations tomographically inverted&amp;nbsp;based on Bayesian statistics.&lt;/p&gt;

&lt;p&gt;(logVTEM_res) &amp;ndash; Logarithm of resistivity based on airborne time-domain electromagnetic data acquired using the Geotech Versatile Time Domain (VTEM&amp;trade; ET) system&amp;nbsp;and inverted using a&amp;nbsp;layered earth approach.&lt;/p&gt;

&lt;p&gt;(class_K-means) &amp;ndash;&amp;nbsp;Class labels of a spatially constrained clustering using&amp;nbsp;K-means with 26 immediate neighbours&amp;nbsp;performed on the bivariate velocity-resistivity 3D dataset.&lt;/p&gt;</subfield>
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