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.
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51 a 60 de 14.251 Resultados
Texto plano - 3,8 KB -
MD5: d4fdd5ca6fc8d987bad186b9261ec87a
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3 oct 2025 - Universidad Carlos III de Madrid
Continelli Flores, Nicole Andrea; Nagua Cuenca, Luis; Martínez Olmos, Pablo; MONJE MICHARET, CONCEPCIÓN ALICIA, 2025, "Dataset for “Combined model‑based and data‑driven approach for the control of a soft robotic neck”", https://doi.org/10.21950/4OQG8K, e-cienciaDatos, V1
This dataset supports the article titled *“Combined model‑based and data‑driven approach for the control of a soft robotic neck”*, published in *Robotics and Autonomous Systems* in 2025. The study investigates a hybrid control strategy that combines an analytical model of a soft... |
3 oct 2025 -
Dataset for “Combined model‑based and data‑driven approach for the control of a soft robotic neck”
Texto plano - 14,1 KB -
MD5: ca317c98e149d0531c5e3666b1d92e86
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3 oct 2025 -
Dataset for “Combined model‑based and data‑driven approach for the control of a soft robotic neck”
Archivo ZIP - 13,5 MB -
MD5: 866cba70276aa5989f61821a6af5d7ed
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2 oct 2025 - Universidad Rey Juan Carlos
Pariente, Mª Isabel; de Mora, A.; Díaz de Tuesta, Jose Luis; Segura, Yolanda; Puyol, Daniel; Castillo, E.; Lissitsyna, Kristina; Melero, Juan Antonio; martinez, fernando, 2025, "Replicación de datos para: Chemically activated hydrochars as catalysts for the treatment of HTC liquor by catalytic wet air oxidation", https://doi.org/10.21950/E0TRXC, e-cienciaDatos, V1
The UPGRES project focuses on integrating biotechnological, thermochemical, and catalytic transformations, including innovative technologies like dark fermentation, microalgae production, hydrothermal carbonization and liquefaction, and aqueous-phase reforming. It also aims to mi... |
Datos tabulares - 981,9 KB
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Texto plano - 3,2 KB -
MD5: 61c95b4f3d172652c30eb852841a3a0e
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2 oct 2025 - Universidad Rey Juan Carlos
Fernández-Pintor, Begoña; Perestrelo, Rosa; Morante Zarcero, Sonia; Sierra Alonso, Isabel; Câmara, José, 2025, "Edible Flowers in Modern Gastronomy: A Study of Their Volatilomic Fingerprint and Potential Health Benefits", https://doi.org/10.21950/GLGOLQ, e-cienciaDatos, V1
This database includes the volatile composition of the seven flower species determined by HS-SPME/GC-MS, their potential bioactive effects and the number of volatile organic metabolites found in the simples. |
2 oct 2025 -
Edible Flowers in Modern Gastronomy: A Study of Their Volatilomic Fingerprint and Potential Health Benefits
Datos tabulares - 11,3 KB
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2 oct 2025 -
Edible Flowers in Modern Gastronomy: A Study of Their Volatilomic Fingerprint and Potential Health Benefits
Texto plano - 3,5 KB -
MD5: 5dd5771aed1aabc4340e1cfee59f3387
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