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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11 a 20 de 5.011 Resultados
6 oct 2025 -
Decision support system in multimorbidity and polypharmacy: usability and cognitive load of primary care physicians
Valores separados por comas - 4,1 KB -
MD5: de4bd9b6eee4e30684053dc750da3f6c
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6 oct 2025 -
Decision support system in multimorbidity and polypharmacy: usability and cognitive load of primary care physicians
Sintasis Stata - 50,7 KB -
MD5: 354af76b8553583c84b4fdd160a982e3
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6 oct 2025 -
Decision support system in multimorbidity and polypharmacy: usability and cognitive load of primary care physicians
Valores separados por tabuladores - 1,8 MB -
MD5: f59211dd43414a729ae75b443530a981
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6 oct 2025 -
Decision support system in multimorbidity and polypharmacy: usability and cognitive load of primary care physicians
Valores separados por tabuladores - 121,1 KB -
MD5: e2bd6488f522b33684a4b6d9cd323844
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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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