Mostrar el registro sencillo del ítem
| dc.contributor.author | Carreira Barral, Israel | |
| dc.contributor.author | García-Moral, Ana | |
| dc.contributor.author | Iñigo Martínez, María Emilia | |
| dc.contributor.author | Díez Hernández, Julieta | |
| dc.contributor.author | Ibáñez Porras, Jesús | |
| dc.contributor.author | Alonso-Terán, Mario | |
| dc.contributor.author | Fuente Gamero, Patricia de la | |
| dc.contributor.author | Barros García, Rocío | |
| dc.contributor.author | Martel Martín, Sonia | |
| dc.date.accessioned | 2026-01-12T12:34:41Z | |
| dc.date.available | 2026-01-12T12:34:41Z | |
| dc.date.issued | 2025-12-15 | |
| dc.identifier.citation | 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 | es |
| dc.identifier.uri | https://hdl.handle.net/10259/11199 | |
| dc.description.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' | en |
| dc.description.sponsorship | This work was funded by the Spanish Agencia Estatal de Investigación (AEI) through the ‘Artificial Intelligence for the sustainable design of efficient alloys and processes (IRIDISCENTE)’ research project (PLEC2023-010190) | en |
| dc.format.mimetype | text/plain | |
| dc.format.mimetype | application/vnd.openxmlformats-officedocument.spreadsheetml.sheet | |
| dc.language.iso | eng | es |
| dc.publisher | Universdad de Burgos | es |
| dc.relation.isreferencedby | https://hdl.handle.net/10259/11472 | |
| dc.rights | Atribución-NoComercial 4.0 Internacional | * |
| dc.rights.uri | http://creativecommons.org/licenses/by-nc/4.0/ | * |
| dc.subject | Circularity assessment | en |
| dc.subject | Criticality assessment | en |
| dc.subject | Early-stage evaluation | en |
| dc.subject | Metal scrap | en |
| dc.subject | Raw material | en |
| dc.subject | Steel | en |
| dc.subject | Sustainability index | en |
| dc.subject.other | Industria siderúrgica | es |
| dc.subject.other | Steel industry and trade | en |
| dc.subject.other | Residuos metálicos | es |
| dc.subject.other | Scrap metals | en |
| dc.title | Dataset of the work 'A five-indicator methodology for early-stage sustainable selection of metal scraps and raw materials: application in the steel industry' | en |
| dc.type | dataset | es |
| dc.rights.accessRights | info:eu-repo/semantics/openAccess | es |
| dc.identifier.doi | 10.71486/mcts-0k15 | |
| dc.relation.projectID | info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica, Técnica y de Innovación 2021-2023/PLEC2023-010190/ES/Inteligencia artificial para el diseño sostenible de aleaciones y procesos eficientes/IRIDISCENTE/ | es |
| dc.type.hasVersion | info:eu-repo/semantics/acceptedVersion | es |
| dc.publication.year | 2025 |