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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1 a 10 de 14.172 Resultados
3 oct 2025 - Universidad Rey Juan Carlos
Casado-Hidalgo, Gema; Cordo del Álamo, Ruben; Pérez-Quintanilla, Damián; Morante Zarcero, Sonia; Gomara, Belen; Ramos Gonzalez, Maria De Lourdes; Sierra Alonso, Isabel, 2025, "Fast and green methodology based on miniaturised liquid–liquid extraction with a hydrophobic natural deep eutectic solvent of opium alkaloids from poppy seed beverages", https://doi.org/10.21950/9ZM8SD, e-cienciaDatos, V1
Currently, the development of environmentally friendly analytical methodologies is a challenge for analytical chemistry. Therefore, the search for solvents to extract analytes of interest from complex matrices has progressed considerably in recent years. In the present work, 15 h... |
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; Fernando Martínez, 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
This data set includes the results of catalyst characterization, wet air oxidation reactions and anaerobic digestion of the research paper Chemically activated hydrochars as catalysts for the treatment of HTC liquor by catalytic wet air oxidation |
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. |
