Site-specific dataset of mining and metallurgical residues for resource management

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

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.

Citation

Cormio, C., Alonso, M., Cleall, P., Heuss-Assbichler, S., Guglietta, D., Sinnett, D., …Lemiere, B. (2024). Site-specific dataset of mining and metallurgical residues for resource management. Data in Brief, 54, Article 110348. https://doi.org/10.1016/j.dib.2024.110348

• Journal Article Type: Article
• Acceptance Date: Mar 14, 2024
• Online Publication Date: Mar 19, 2024
• Publication Date: Jun 30, 2024
• Deposit Date: Mar 29, 2024
• Publicly Available Date: Apr 4, 2024
• Journal: Data in Brief
• Publisher: Elsevier
• Peer Reviewed: Peer Reviewed
• Volume: 54
• Article Number: 110348
• DOI: https://doi.org/10.1016/j.dib.2024.110348
• Public URL: https://uwe-repository.worktribe.com/output/11839942