<?xml version="1.0" encoding="UTF-8"?>
<feed xmlns="http://www.w3.org/2005/Atom" xmlns:dc="http://purl.org/dc/elements/1.1/">
<title>Datos de investigación ICCRAM-EST</title>
<link href="https://hdl.handle.net/10259/6775" rel="alternate"/>
<subtitle/>
<id>https://hdl.handle.net/10259/6775</id>
<updated>2026-05-04T16:40:22Z</updated>
<dc:date>2026-05-04T16:40:22Z</dc:date>
<entry>
<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'</title>
<link href="https://hdl.handle.net/10259/11199" rel="alternate"/>
<author>
<name>Carreira Barral, Israel</name>
</author>
<author>
<name>García-Moral, Ana</name>
</author>
<author>
<name>Iñigo Martínez, María Emilia</name>
</author>
<author>
<name>Díez Hernández, Julieta</name>
</author>
<author>
<name>Ibáñez Porras, Jesús</name>
</author>
<author>
<name>Alonso-Terán, Mario</name>
</author>
<author>
<name>Fuente Gamero, Patricia de la</name>
</author>
<author>
<name>Barros García, Rocío</name>
</author>
<author>
<name>Martel Martín, Sonia</name>
</author>
<id>https://hdl.handle.net/10259/11199</id>
<updated>2026-03-09T11:01:20Z</updated>
<published>2025-12-15T00:00:00Z</published>
<summary type="text">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
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'
</summary>
<dc:date>2025-12-15T00:00:00Z</dc:date>
</entry>
<entry>
<title>Red-Edge (725nm) Monochrome Imaging of Vine Leaves Treated with Antifungal Products</title>
<link href="https://hdl.handle.net/10259/10909" rel="alternate"/>
<author>
<name>Cambra Baseca, Carlos</name>
</author>
<author>
<name>Nascimento, Antonia Maiara Marques do</name>
</author>
<author>
<name>Rad Moradillo, Juan Carlos</name>
</author>
<author>
<name>Ruiz González, Rubén</name>
</author>
<author>
<name>Barros García, Rocío</name>
</author>
<author>
<name>Herrero Cosío, Álvaro</name>
</author>
<id>https://hdl.handle.net/10259/10909</id>
<updated>2025-10-01T07:45:28Z</updated>
<published>2025-09-27T00:00:00Z</published>
<summary type="text">Red-Edge (725nm) Monochrome Imaging of Vine Leaves Treated with Antifungal Products
Cambra Baseca, Carlos; Nascimento, Antonia Maiara Marques do; Rad Moradillo, Juan Carlos; Ruiz González, Rubén; Barros García, Rocío; Herrero Cosío, Álvaro
The dataset contains all raw data of the work "Red-Edge (725nm) Monochrome Imaging of Vine Leaves Treated with Antifungal Products"
</summary>
<dc:date>2025-09-27T00:00:00Z</dc:date>
</entry>
<entry>
<title>SEM and Hyperspectral images of vine leafs treated with antifungal products</title>
<link href="https://hdl.handle.net/10259/10402" rel="alternate"/>
<author>
<name>Sánchez Alonso, Ramón</name>
</author>
<author>
<name>Rad Moradillo, Juan Carlos</name>
</author>
<author>
<name>Herrero Cosío, Álvaro</name>
</author>
<author>
<name>Cambra Baseca, Carlos</name>
</author>
<author>
<name>Barros García, Rocío</name>
</author>
<author>
<name>Castroviejo Fernández, Mª Pilar</name>
</author>
<id>https://hdl.handle.net/10259/10402</id>
<updated>2025-04-10T12:06:37Z</updated>
<published>2025-03-24T00:00:00Z</published>
<summary type="text">SEM and Hyperspectral images of vine leafs treated with antifungal products
Sánchez Alonso, Ramón; Rad Moradillo, Juan Carlos; Herrero Cosío, Álvaro; Cambra Baseca, Carlos; Barros García, Rocío; Castroviejo Fernández, Mª Pilar
The dataset contains all raw data of the work "SEM-EDS and hyperspectral images of vine leafs treated with antifungal products"
</summary>
<dc:date>2025-03-24T00:00:00Z</dc:date>
</entry>
<entry>
<title>Dataset of the work 'Driving sustainability at early-stage innovation in producion of zinc oxide nanoparticles'</title>
<link href="https://hdl.handle.net/10259/9915" rel="alternate"/>
<author>
<name>Carreira Barral, Israel</name>
</author>
<author>
<name>Díez Hernández, Julieta</name>
</author>
<author>
<name>Igos, Elorri</name>
</author>
<author>
<name>Saidani, Michael</name>
</author>
<author>
<name>Ding, Tianran</name>
</author>
<author>
<name>Ramos da Silva, Tiago</name>
</author>
<author>
<name>Monteiro, Helena</name>
</author>
<author>
<name>Stingl, Andreas</name>
</author>
<author>
<name>Farias, Patricia M. A.</name>
</author>
<author>
<name>Cardozo, Olavo</name>
</author>
<author>
<name>Ibáñez Porras, Jesús</name>
</author>
<author>
<name>García-Moral, Ana</name>
</author>
<author>
<name>Tamayo Ramos, Juan Antonio</name>
</author>
<author>
<name>Rumbo Lorenzo, Carlos</name>
</author>
<author>
<name>Barros García, Rocío</name>
</author>
<author>
<name>Martel Martín, Sonia</name>
</author>
<id>https://hdl.handle.net/10259/9915</id>
<updated>2025-05-12T06:32:07Z</updated>
<published>2024-11-26T00:00:00Z</published>
<summary type="text">Dataset of the work 'Driving sustainability at early-stage innovation in producion of zinc oxide nanoparticles'
Carreira Barral, Israel; Díez Hernández, Julieta; Igos, Elorri; Saidani, Michael; Ding, Tianran; Ramos da Silva, Tiago; Monteiro, Helena; Stingl, Andreas; Farias, Patricia M. A.; Cardozo, Olavo; Ibáñez Porras, Jesús; García-Moral, Ana; Tamayo Ramos, Juan Antonio; Rumbo Lorenzo, Carlos; Barros García, Rocío; Martel Martín, Sonia
This dataset contains the data required to perform the Life Cycle Assessment (LCA), Material Flow Cost Accounting (MFCA), Social Life Cycle Assessment (S-LCA), and Multi-Criteria Decision Analysis (MCDA), as well as the results of these analyses, of the work 'Driving sustainability at early-stage innovation in producion of zinc oxide nanoparticles'
</summary>
<dc:date>2024-11-26T00:00:00Z</dc:date>
</entry>
</feed>
