Dataset of the work 'A five-indicator methodology for early-stage sustainable selection of metal scraps and raw materials: application in the steel industry'

Carreira Barral, Israel; García-Moral, Ana; Iñigo Martínez, María Emilia; Díez Hernández, Julieta; Ibáñez Porras, Jesús; Alonso-Terán, Mario; Fuente Gamero, Patricia de la; Barros García, Rocío; Martel Martín, Sonia

doi:10.71486/mcts-0k15

Por favor, use este identificador para citar o enlazar este ítem: https://hdl.handle.net/10259/11199

Título

Dataset of the work 'A five-indicator methodology for early-stage sustainable selection of metal scraps and raw materials: application in the steel industry'

Autor

Carreira Barral, Israel

García-Moral, Ana

Iñigo Martínez, María Emilia

Díez Hernández, Julieta

Ibáñez Porras, Jesús

Alonso-Terán, Mario

Fuente Gamero, Patricia de la

Barros García, Rocío

Martel Martín, Sonia

Editorial

Universdad de Burgos

Fecha de publicación

2025-12-15

DOI

10.71486/mcts-0k15

Abstract

This dataset contains the data provided by ArcelorMittal España (commercial names, quality and elemental composition of the studied metal scraps and raw materials) in the context of the 'IRIDISCENTE' research project, and the analysis, results and conclusions for each of the 11 scenarios considered in the work 'A five-indicator methodology for early-stage sustainable selection of metal scraps and raw materials: application in the steel industry'

Palabras clave

Circularity assessment

Criticality assessment

Early-stage evaluation

Metal scrap

Raw material

Steel

Sustainability index

Materia

Industria siderúrgica

Steel industry and trade

Residuos metálicos