Cormio, Carlo; Alonso, Marta; Cleall, Peter; Heuss-Assbichler, Soraya; Guglietta, Daniela; Sinnett, Danielle; Szabo, Katalin; Žibret, Gorazd; Carvalho, Teresa; Kral, Ulrich; Werner, Tim; Lemiere, Bruno (2024): Site-specific dataset of mining and metallurgical residues for resource management. Data in Brief, 54: 110348. ISSN 23523409
Full text not available from this repository. (Request a copy)Abstract
This geospatial dataset provides a compilation of findings from an evidence-based review of site-specific resource assessments of mining and metallurgical residues. Information pertaining to location, target material, geological knowledge, extractability, resource classification and stakeholder perspectives was collected from publicly available reports, articles, academic theses, and databases. The dataset includes 44 relevant data attributes from 64 mining and metallurgical sites in 27 countries. Resource classification is available for 38 sites. The dataset can be used by evaluators of recovery projects, authorities that provide permits, as well as by decision makers in support of developing regulatory policies. The dataset facilitates future addition of sites by the research community and can be further used as a starting point to bridge the estimates on recoverable quantities to the United Nations Framework Classification (UNFC). The UNFC is a universally applicable scheme for the sustainable management of all energy, primary and secondary mineral resources. Its use is stimulated by the European Commission and is intended to be adopted by geological surveys to harmonize the data on the availability of primary and secondary raw materials in Europe in future.
Doc-Type: | Article (LMU) |
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Organisational unit (Faculties): | 20 Geosciences > Department of Earth and Environmental Sciences > Geology |
DFG subject classification of scientific disciplines: | Natural sciences |
Date Deposited: | 04. Sep 2024 09:29 |
Last Modified: | 04. Sep 2024 09:29 |
URI: | https://oa-fund.ub.uni-muenchen.de/id/eprint/1444 |
DFG: | Funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) - 491502892 |