EconPapers    
Economics at your fingertips  
 

High-Resolution Magnetic Susceptibility Dataset from Borehole Samples from the “Rudnik” Mine Tailings, Republic of Serbia

Vesna Cvetkov () and Filip Arnaut
Additional contact information
Vesna Cvetkov: Faculty of Mining and Geology, University of Belgrade, Đušina 7, 11000 Belgrade, Serbia
Filip Arnaut: Institute of Physics Belgrade, University of Belgrade, Pregrevica 118, 11000 Belgrade, Serbia

Data, 2025, vol. 10, issue 9, 1-7

Abstract: In 2024, high-resolution (10 cm resolution) magnetic susceptibility (MS) data acquisition and subsequent sample preparation and laboratory measurements were conducted at the “Rudnik” mine tailing site in the Republic of Serbia. The dataset consists of 1010 measurements obtained from 7 boreholes, with the largest borehole containing 218 continuously measured MS samples and the smallest containing 103 measured values. The dataset includes mass magnetic susceptibility data from seven boreholes, accompanied by lithological descriptions of the respective samples and measured sample mass data. High-resolution MS data were obtained during the characterization phase of flotation tailings, as the MS technique is established as an effective proxy for detecting heavy metals in tailings, while also being cost-effective, straightforward, and rapid. Consequently, researchers can acquire extensive data which is correlated with heavy metal concentrations while reserving costly and time-intensive chemical analyses only for the most relevant samples obtained by the analysis of MS values. The significance of such datasets resides in their ability to foster transparency and collaboration, thereby facilitating cross-disciplinary research that may enhance the methodology of the MS technique. In addition to its direct geophysical applications, the dataset fosters transparency and interdisciplinary collaboration, allowing geoscientists, statisticians, and data scientists to evaluate and refine methodologies that could improve the efficiency of the MS technique in the future.

Keywords: geophysical data; lithological data; high- resolution magnetic susceptibility data; open data; borehole data (search for similar items in EconPapers)
JEL-codes: C8 C80 C81 C82 C83 (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:

Downloads: (external link)
https://www.mdpi.com/2306-5729/10/9/145/pdf (application/pdf)
https://www.mdpi.com/2306-5729/10/9/145/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jdataj:v:10:y:2025:i:9:p:145-:d:1750568

Access Statistics for this article

Data is currently edited by Ms. Becky Zhang

More articles in Data from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().

 
Page updated 2025-09-17
Handle: RePEc:gam:jdataj:v:10:y:2025:i:9:p:145-:d:1750568