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https://doi.org/10.20350/digit...
Dataset . 2018
License: CC BY
Data sources: Sygma
DIGITAL.CSIC
Dataset . 2018
License: CC BY
Data sources: Datacite
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SIT4ME: Innovative seismic imaging techniques for mining exploration - Sotiel-Elvira (Spain) dataset

Authors: Alcalde, Juan; Martínez, Y.; Martí, David; Ayarza, P.; Ruiz Fernández, Mario; Marzán, Ignacio; Tornos, F.; +5 Authors

SIT4ME: Innovative seismic imaging techniques for mining exploration - Sotiel-Elvira (Spain) dataset

Abstract

Fair and sustainable production of raw materials is one of the main challenges faced by our society. Through its RawMaterials Programme, the European Institute of Technology (EIT) encourages research and innovation solutions for mineral exploration to make them safer, sustainable and cost-effective. The SIT4ME project, funded by EIT, addresses these objectives by undertaking seismic mineral exploration methods in crystalline tectonic settings, at a reduced cost. The SIT4Me project will analyse the efficiency of passive seismic methods (i.e. ambient noise interferometry) for subsurface imaging, by comparing active- and passive-source datasets in mining areas. The files in this dataset correspond to the controlled-source acquisition.

The acquired data comprises 2D/3D and 3C components. The acquisition employed 647 seismic receivers, distributed in a 3D mesh around the target and along six 2D crooked lines sampling the study area. The source employed was a 32 t vibroseis truck, operating at c. 900 points in the pathways along the 2D profiles. Each vibration point was used three times, with frequency sweeps of 10-100 Hz.

European Institute of Innovation & Technology, Grant number EIT 17024, SIT4ME project

Peer reviewed

Country
Spain
Related Organizations
Keywords

Reflection [Seismic], Seismic:Reflection, SEGY, DigitalSeg, Seismometer_1C and 3C, Active:MCS-3D [Seismic], Seismology, Seismic:Active:MCS-3D, SeismicSource_VibroseisTruck

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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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impulse
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