2026-04-28T13:15:41Zhttps://riubu.ubu.es/oai/request

oai:riubu.ubu.es:10259/111992026-03-09T11:01:20Zcom_10259_6168com_10259_5086com_10259_2604com_10259_3924col_10259_6775col_10259_7224col_10259_5684

00925njm 22002777a 4500 dc Carreira Barral, Israel author García-Moral, Ana author Iñigo-Martínez, María Emilia author Díez Hernández, Julieta author Ibáñez Porras, Jesús author Alonso-Terán, Mario author Fuente Gamero, Patricia de la author Barros García, Rocío author Martel Martín, Sonia author 2025-12-15 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' Carreira-Barral, I., García Moral, A., Iñigo Martinez, M. E., Díez-Hernández, J., Ibanez, J., Mario Alonso Terán, De La Fuente, P., Barros Garcia, R., & Martel-Martín, S. (2025). Dataset of the work 'A five-indicator methodology for early-stage sustainable selection of metal scraps and raw materials: application in the steel industry' [Data set]. Universidad de Burgos. https://doi.org/10.71486/MCTS-0K15 https://hdl.handle.net/10259/11199 10.71486/mcts-0k15 Circularity assessment Criticality assessment Early-stage evaluation Metal scrap Raw material Steel Sustainability index Dataset of the work 'A five-indicator methodology for early-stage sustainable selection of metal scraps and raw materials: application in the steel industry'