Resultados de investigación

Description of the project

This dataset is the result of the research carried out in the project "A Benchmark for Rey-Osterrieth Complex Figure (ROCF) Test Automatic Scoring", whose main goal was to establish a baseline for the scoring task consisting of: a dataset with 528 ROCF and results obtained by several deep learning models, as well as, by a group of psychology experts.,

Description of the dataset

This dataset contains a single folder with 528 binary images of Rey-Osterrieth Complex Figures.,

Methodology

The methodology used to collect the data consists of 4 steps:

• Step 1. Pencil drawing of 528 Rey-Osterrieth Complex Figures by 241 participants.
• Step 2. Drawings are scanned, cropped and cleaned of annotations.
• Step 3. The resulting images are rescaled to 384x384 pixels.
• Step 4. The images are binarized and their color is inverted.

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Descripción del proyecto

El contenido de este dataset es resultado de la investigación llevada a cabo en el proyecto "Banco de Pruebas para la Puntuación Automática del Test de la Figura Compleja de Rey-Osterrieth (FCRO)", cuyo objetivo principal era el de establecer una línea base para dicha tarea que incluye: un dataset con 528 FCRO y resultados obtenidos por varios modelos de aprendizaje profundo, así como, por varios profesionales de la psicología.,

Descripción del dataset

Este dataset contiene una única carpeta con 528 imágenes binarias de figuras complejas de Rey-Osterrieth.,

Metolodogía

La metodología empleada para la obtención de los datos incluye 4 etapas:

• Etapa 1. Dibujado a lápiz de 528 figuras complejas de Rey-Osterrieth por parte de 241 participantes.
• Etapa 2. Los dibujos son escaneados, recortados y limpiados de anotaciones.
• Etapa 3. Las imágenes resultantes son re-escaladas a tamaño 384x384 píxeles.
• Etapa 4. Las imágenes son binarizadas y su color se invierte.

Project developed by Giovanni Federico (Università di Pisa) and Antonio Tena Junguito (Universidad Carlos III de Madrid). This data base outlines changes in world trade from 1800 to 2016. Dataset: French Indochina

Project 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: Democratic Republic of the Congo

Project developed by Giovanni Federico (Università di Pisa) and Antonio Tena Junguito (Universidad Carlos III de Madrid). This data base outlines changes in world trade from 1800 to 2016. Dataset: Australia

Este grupo de documentos contiene el dataset completo y materiales metodológicos del estudio longitudinal sobre aceptación social de biorrefinerías en la Comunidad de Madrid (2022-2024), desarrollado dentro del proyecto eCOMCIENCIA (PID2021-127019OB-I00) y los proyectos de la Comunidad de Madrid BIVALIA-CM (TEC-2024/BIO-177) y BIOTRES-CM (S2018/EMT-4344). Proporciona información detallada sobre actitudes públicas y aceptación de la sostenibilidad, biocombustibles y biorrefinerías en la región de Madrid. Incluye: 1) Documento metodológico detallado con fundamentación teórica y procedimientos de análisis estadístico 2) Cuestionario completo con 22 ítems (versiones en español e inglés) 3) Dataset completo con 1.000 encuestas válidas distribuidas en dos oleadas (octubre 20-31, 2022 y noviembre 1-5, 2024) en formatos .csv y .sav 4) Libro de códigos con descripción de todas las variables 5) Ficheros .spv con las salidas de análisis estadísticos por pregunta del cuestionario 6) Informes detallados de los análisis por bloque temático (sociodemográfico, actitudes hacia sostenibilidad, percepción de separación y tratamiento de residuos, aceptación de biocombustibles y aceptación de biorrefinerías) Los datos fueron recogidos mediante encuesta CAWI dirigida a residentes de Madrid mayores de 18 años y han sido anonimizados para garantizar el cumplimiento de las regulaciones de protección de datos. Este material constituye un recurso de utilidad para investigadores interesados en temas de aceptación social de tecnologías energéticas, energías renovables y transición energética sostenible.

Anécdotas sobre diversos temas. Trabajos forestales, cortando pinos en el monte. Maquinaria agrícola. Travesuras infantiles: robar fruta. Contrabando. Encontronazos cuando eran niños con la Guardia Civil. Anécdotas de caza, especialmente de la liebre., Anedotas e histórias sobre vários tópicos. Trabalho florestal, corte de pinheiros nas montanhas. Máquinas agrícolas. Travessura infantil: roubar fruta. Contrabando. Encontronazos quando eram crianças com a Guardia Civil. Anedotas de caça, especialmente a lebre., Anecdotes on various topics. Forestry work, cutting pines in the mountains. Agricultural machinery. Childish mischief: stealing fruit. Smuggling. Encounters when they were children with the Guardia Civil. Hunting anecdotes, especially the hare.

Project 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: Cayman Islands

This dataset contains the data related to the article "Examining and Comparing the Effectiveness of Virtual Reality Serious Games and LEGO Serious Play for Learning Scrum" with DOI 10.3390/app14020830. This dataset contains data of 59 software engineering students, 22 of which belonged to group A while the other 37 were part of group B. The students in group A played a virtual reality serious game, whereas the students in group B conducted a LEGO Serious Play activity. The dataset contains the following data for each student: * Pre-test and post-test scores. * Learning performance (LP), calculated as the difference between the post-test and the pre-test score. * Age and gender. * Results of a perceptions questionnaire with 18 items. * Comments (in Spanish). All data was anonymized so that the identity of the participants cannot be ascertained. Additional details (e.g., definition of each item of the questionnaire) are provided in the aforementioned article, which can be openly accessed at https://www.doi.org/10.3390/app14020830.

UC3M-LP is the largest open-source dataset for European license plate detection and recognition and the first one ever for Spanish license plates. It contains 1975 images from 2547 different vehicles and comprising a total of 12757 plate characters.

Color centers in hexagonal boron nitride (hBN) emerge as promising quantum light sources at room temperature, with potential applications in quantum communications, among others. The temporal coherence of emitted photons (i.e. their capacity to inter- fere and distribute photonic entanglement) is essential for many of these applications. Hence, it is crucial to study and determine the temporal coherence of this emission un- der different experimental conditions. In this work, we report the coherence time of the single photons emitted by an hBN defect in a nanocrystal at room temperature, mea- sured via Michelson interferometry. The visibility of this interference vanishes when the temporal delay between the interferometer arms is a few hundred femtoseconds, highlighting that the phonon dephasing processes are four orders of magnitude faster than the spontaneous decay time of the emitter. We also analyze the single photon characteristics of the emission via correlation measurements, defect blinking dynamics, and its Debye-Waller factor. Our room temperature results highlight the presence of a strong electron-phonon coupling, suggesting the need to work at cryogenic temperatures to enable quantum photonic applications based on photon interference.

This dataset includes data from the experiments carried out to investigate the temporal coherence of hBN at room temperature, including photoluminescence (PL) spectra of several hBN emitters under different excitation conditions, time-resolved fluorescence decay, second-order correlation measurements, and Michelson interferometry of single photons. This data has been used to generae the figures included in the publication: "Temporal coherence of single photons emitted by hexagonal Boron Nitride defects at room temperature".

1- "Basic Characterization": Data for the basic characterization of an hBN emitter at room temperature. Contains three subfolders:

• PL spectrum
• Saturation Curve
• Spontaneous decay (T1)

2- "Second order correlation function": Includes data for the second-order correlation function (obtained via the Hanbury-Brown and Twiss experiment) of the same hBN emitter under different excitation powers with pulsed and continuous wave driving. Its is divided in the following subfolders:

• G2 CW
• G2 Pulsed

3- "Michelson interferometry of an emitter": Includes data for the Michelson fringes (for different path delays) for the emisión of the same hBN emitter considering two filtering regions (ZPL and full spectrum). It is divided in the subfolders:

• Full spectrum
• ZPL

4-"Michelson interferometry under different excitation conditions": Contains data of three hBN emitters (different from the one characterized in the rest of the dataset) excited with different laser wavelengths. This folder contains data of the PL spectra (for different excitation color) and the corresponding Michelson fringes (for different path delays). This folder is organized as follows:

• Emitter I
• Michelson Blue
• Michelson Green
• PL spectra

• Emitter II
• Michelson Blue
• Michelson Green
• PL spectra

• Emitter III
• Michelson Blue
• Michelson Red
• PL spectra

Data from second-order correlation measurements and Michelson interferometry have been generated by the software Extensible Timetag Analyzer (https://timetag.github.io/).