Encuesta satisfacción e-cienciaDatos
e-cienciaDatos es el repositorio de datos de investigación de las universidades del Consorcio Madroño. Es miembro de Harvard Dataverse Network, aceptado por las principales editoriales científicas y cumple los requisitos del H2020.
Estamos comprometidos con la mejora de nuestro servicio. Conocer mejor sus expectativas nos ayudará a adaptar nuestros servicios a sus necesidades.
Si desea colaborar con nosotros, seleccione su institución para comenzar la encuesta.
Gracias por su colaboración.
3.371 a 3.380 de 5.132 Resultados
Archivo Comprimido - 803,5 MB -
MD5: 2b48969eb75d09f3af867e520ac66fdc
Raw images of mudbrick samples |
Archivo Comprimido - 219,9 MB -
MD5: 5fe10a04d8104ae246ef52e3a1e5c43f
Colour, mineralogical, chemical and petrographic raw data |
Archivo Comprimido - 170,8 MB -
MD5: 627f431b9ab71d52b198681ef291c021
Scotch Tape and Surface Hardness Test raw data |
Archivo Comprimido - 130,2 MB -
MD5: 5bd6bdfcd9a6fd64ea664119f4862ca1
Imbibition time and contact angle test, rain resistance test raw data and photos |
16 jun 2025 - Universidad Rey Juan Carlos
Linares, María; Orfila, María; Pérez Domínguez, Alejandro; Díaz-Correas, Elisa; Zabukovec Logar, Natasa; Sanz Martin, Raul; Marugan, Javier; Molina, Raul; Botas, Juan Ángel, 2025, "Green hydrogen production through low temperature thermochemical water splitting cycles based on non-ordered and ordered macroscopic structures of La0.6Sr0.4Co0.2Fe0.8O3±δ perovskite", https://doi.org/10.21950/4ZBUOH, e-cienciaDatos, V1
The production of green hydrogen is one of the main targets of current energy and environmental policies. In this context, thermochemical water splitting is one of the potential methodologies that enable its production. This process is based on the thermal reduction of a metal ox... |
Texto plano - 5,0 KB -
MD5: 3dac8931df66a75e5db53cd66b2e562c
|
12 jun 2025 - Universidad Rey Juan Carlos
Paredes, Maximiliano; Gomez-Rios, Monica-Daniela; Velázquez-Iturbide, J. Ángel; Quiroz Martinez, Miguel Angel, 2025, "Results of an evaluation of students' emotions using augmented reality and artificial intelligence", https://doi.org/10.21950/FZF6YA, e-cienciaDatos, V1
A study was conducted with students using an augmented reality tool called DARA. In this study, students' emotions were collected using both instruments: questionnaire and the Emolive tool. Emolive is a tool that detects emotions through facial recognition. The dataset shows the... |
12 jun 2025 -
Results of an evaluation of students' emotions using augmented reality and artificial intelligence
Hoja de cálculo MS Excel - 26,4 KB -
MD5: cd039b13d526bccf43fb8fd61c062044
|
12 jun 2025 -
Results of an evaluation of students' emotions using augmented reality and artificial intelligence
Texto plano - 3,1 KB -
MD5: 5e2bc68a7e0f2fdf512e745f58a4dde5
|
