2026-05-14T05:08:22Zhttps://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

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 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' text/plain application/vnd.openxmlformats-officedocument.spreadsheetml.sheet https://hdl.handle.net/10259/11199 eng Universdad de Burgos Dataset of the work 'A five-indicator methodology for early-stage sustainable selection of metal scraps and raw materials: application in the steel industry' dataset TEXT RIUBU. Repositorio Institucional de la Universidad de Burgos Hispana