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Absell-Federico-Tena World Trade Historical Database 1948-2020 : Liberia
No full textProject developed by Christopher Absell (University Gothenburg and Instituto Figuerola) Giovanni Federico (New York University Dubai) and Antonio Tena Junguito (Universidad Carlos III de Madrid and Instituto Figuerola). Dataset: Liberi
Chiral HPLC-MS/MS determination of hyoscyamine enantiomers in baby herbal infusions after preconcentration with sulfonic HMS mesostructured silica synthesized by co-condensation
No full textThis database includes the information of the samples used in the study, as well as the results obtained for the chiral separation of (+)- and (-)-hyoscyamine using different chiral stationary phases and elution modes, followed by the purification step by solid-phase extraction, and the properties of the prepared functionalised mesostructured silicas. Then, all the results obtained from the validation of the analytical methodology and the racemisation study of atropine after the solid phase extraction procedure. Finally, the concentrations of atropine enantiomers found in the samples of herbal infusions for babies using the proposed analytical methodology
Articulating body experiences in reaction to movement sonifications
No full textAuditory feedback of body movement has shown to alter one’s body perception. We presented a multidisciplinary strategy for articulating how body feelings are affected by movement sonifications. Through a participatory workshop involving methods from design research in HCI and cognitive science, we gathered qualitative and quantitative data assessing the most salient categories of four sonifications and subsequent detailed phenomenal assessment of two chosen sonifications. Four different mappings for movement sonification developed by the performance group Instituto Stocos were explored. The analysed data and description of the sonifications' parameters are published in [Roel Lesur et al., 2024]
Dataset para la evaluación del registro de nubes de puntos parciales (2024)
No full textEste dataset contiene nubes de puntos parciales derivadas de los modelos Bunny, Dragon, Armadillo y Buda, originalmente del reconocido Stanford 3D Scanning Repository. Se incluyen 15 vistas parciales para cada modelo, generadas mediante simulaciones de un sensor tipo ToF (Time-of-Flight) utilizando el software Blender y la extensión Blensor. Estas simulaciones permiten evaluar el rendimiento de algoritmos de registro al enfrentar nubes parciales y su correspondiente nube completa de referencia.
Directorio raíz: dataset
- Subdirectorio bunny: contiene 15 nubes de puntos parciales (scanX.pcd) del modelo Bunny, junto con una imagen asociada de cada escaneo parcial y la nube completa de referencia (source.pcd).
- Subdirectorio dragon: contiene 15 nubes de puntos parciales (scanX.pcd) del modelo Dragon, junto con una imagen asociada de cada escaneo parcial y la nube completa de referencia (source.pcd).
- Subdirectorio armadillo: contiene 15 nubes de puntos parciales (scanX.pcd) del modelo Armadillo, junto con una imagen asociada de cada escaneo parcial y la nube completa de referencia (source.pcd).
- Subdirectorio buda: contiene 15 nubes de puntos parciales (scanX.pcd) del modelo Buda, junto con una imagen asociada de cada escaneo parcial y la nube completa de referencia (source.pcd).
Cada carpeta incluye las nubes parciales y una imagen por cada escaneo parcial, facilitando la visualización de las capturas desde diferentes ángulos. Las nubes de puntos completas (source.pcd) sirven como referencia para el registro en cada subdirectorio.
5. Nota
Absell-Federico-Tena World Trade Historical Database 1948-2020 : Serbia
No full textProject developed by Christopher Absell (University Gothenburg and Instituto Figuerola) Giovanni Federico (New York University Dubai) and Antonio Tena Junguito (Universidad Carlos III de Madrid and Instituto Figuerola). Dataset: Serbi
Absell-Federico-Tena World Trade Historical Database 1948-2020 : Cuba
No full textProject developed by Christopher Absell (University Gothenburg and Instituto Figuerola) Giovanni Federico (New York University Dubai) and Antonio Tena Junguito (Universidad Carlos III de Madrid and Instituto Figuerola). Dataset: Cub
Interview in Spain 17
No full textThe reemergence of China is changing the world, and that EU needs to develop a long-term approach based on research-based knowledge in order to engage strategically with an increasingly assertive China.
This dataset consists of a semi-structured interview with a person of Chinese nationality, carried out in Chinese and transcribed in Chinese language.</p
Absell-Federico-Tena World Trade Historical Database 1948-2020 : Jamaica
No full textProject developed by Christopher Absell (University Gothenburg and Instituto Figuerola) Giovanni Federico (New York University Dubai) and Antonio Tena Junguito (Universidad Carlos III de Madrid and Instituto Figuerola). Dataset: Jamaic
Supplementary material for the article "Scaling Student Feedback in Software Engineering Massive Open Online Courses"
No full textThis dataset contains the data related to the article "Scaling Student Feedback in Software Engineering Massive Open Online Courses" with DOI 10.1109/MS.2023.3275035.
This dataset contains data about the students' perceptions and usage of an automated assessment tool (MOOCauto) for obtaining formative feedback in software engineering assignments that are part of a MOOC specialization at Universidad Politécnica de Madrid (Spain) delivered by the MiriadaX platform.
This dataset contains two files:
1) moocauto_logs.csv. This file contains 9,108 anonymized logs of students' use of the automated assessment tool in the MOOC specialization assignments. The columns of this file are as follows:
* MOOCId: Unique numeric identifier for the MOOC (1-4).
* MOOC: Name of the MOOC, which can be "Frontend Development", "Backend Development", "Git & Github" or "Fullstack Development".
*AssignmentName: Name of the assignment.
*AssignmentId: Unique identifier for each assignment (1-17).
*user: Unique identifier of the student (it varies per assignment).
*timestamp: Time in which the assessment was performed.
*score: Score obtained (0-10).
2) moocauto_questionnaire.csv. This file contains 213 students' responses to the questionnaire conducted at the end of each MOOC in order to evaluate their opinion of the tool and perception on usefulness, ease of use, and other aspects related to the Technology Acceptance Model (TAM).
Additional details are provided in the aforementioned article, which can be openly accessed at https://www.doi.org/10.1109/MS.2023.3275035
Datos de aprendizaje de SCRATCH
No full textUtilización de robots tutores en la enseñanza de lenguajes de programación de bloques gráficosDatos de resultados de las pruebas objetivas de alumnos de secundaria de varios colegiosRecogida de datos a través de aplicación web en formato sql y csv
Contiene una carpeta llamada "data" que contiene varios ficheros cs