BUSCADOR RECOLECTA

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: Hawaii

Data of: Moreno Fraginals, M., Klein, H. S., Engerman, S. L. (2020). The Level and Structure of Slave Prices on Cuban Plantations in the Mid-Nineteenth Century: Some Comparative Perspectives. Revista de Historia Económica / Journal of Iberian and Latin American Economic History (Second Series), Virtual Special Issue, 25 p.

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: Finland

Entrevista a informante 1 en San Silvestre de Guzmán. Las fiestas del pueblo. La procesión del día de San Silvestre y las romerías. El potaje que sirven en las celebraciones. Dulces que se comen en las fiestas (pestiños, roscos, etc.); no hay ninguno típico de la localidad, a diferencia de lo que sucede en Isla Cristina o Villablanca, donde tienen la coca. Partes del cuerpo. Parentesco y bodas., As festas da aldeia. A procissão do dia de San Silvestre e as romerias. O cozido que eles servem nas celebrações. Doces que são comidos em festas (pestiños, roscos, etc.); Não há nenhum típico da localidade, ao contrário do que acontece em Isla Cristina ou Villablanca, onde eles têm coca. Partes do corpo. Relacionamento e casamentos., The village parties. The procession of the day of San Silvestre and the pilgrimages. The stew they serve at celebrations. Sweets that are eaten at parties (pestiños, roscos, etc.); there is none typical of the locality, unlike what happens in Isla Cristina or Villablanca, where they have coca. Body parts. Relationship and weddings.

Resultados de la aplicación de la herramienta creada (TransPa_BA) en la información disponible en las sedes web de 53 archivos históricos provinciales durante los meses de febrero y marzo del 2021 para medir su índice de publicidad activa.

Project developed by Giovanni Federico (New York University Abu Dhabi) and Antonio Tena Junguito (Universidad Carlos III de Madrid). Dataset: Norway

Entrevista a Nemesio González y Ascensión Nieto en Castromil. Diferencias dentro de la aldea y con otras localidades. ¿Hasta dónde se habla gallego? ¿Entiende mejor a un gallego o a un portugués? ¿Cómo hablan con los portugueses? ¿Y ellos con los de Castromil?, Diferenças dentro da aldeia e com outras localidades. Quais são os limites da área onde se fala galego? Percebe melhor um galego ou um português? Como falam com os portugueses? E eles com os de Castromil?, Differences between the village and other localities. Which are the limits of the area where Galician is spoken? Do you understand better Galician or Portuguese people? How do you speak with Portuguese people? And how do they speak with you?

Three excell files are provided: * 1deg.xlsx: The complete and raw data set with the experimental measurements performed on the tire test bench for different vertical loads and a slip angle of 1 degrees. * 7deg.xlsx: The complete (raw and preprocessed) data set with the experimental measurements performed on the tire test bench for different vertical loads and a slip angle of 7 degrees. * 14deg.xlsx: The complete (raw and preprocessed) data set with the experimental measurements performed on the tire test bench for different vertical loads and a slip angle of 14 degrees.

Child experimental data and associated survey data: The dataset contains socioeconomic data and experimental measures of cognitive effort stemming from fifth-grade students and their parents. Among the socioeconomic variables that can be found in the dataset are the gender, age, and country of birth of both parents and students. Furthermore, the level of education, occupation, employment status and other socioeconomic variables of the parents are also present. A wide range of variables regarding the student in the school are included, such as grades, involvement, or homework. As effort is the main variable of interest, a series of non-cognitive (personality) variables that are conceptually close were measured, namely, Locus of Control, the Big Five and Need for Cognition. The students also completed a Raven matrices style IQ test (fluid intelligence). A few variables reflect the basic characteristics of their teacher and the school that the individuals attend.

Parent experimental data and associated survey data: The dataset contains socioeconomic data and experimental measures of cognitive effort stemming from parents of a subset of the fifth-grade students who participated in the laboratory experiments. Effort-related non-cognitive (personality) variables that were collected for children were also collected for the parents, including Locus of Control, the Big Five, and Need for Cognition. The parents also completed a Raven matrices style IQ test. Data is also collected on parental perceptions of child's non-cognitive (personality) traits, how parents reward children for good grades, and Covid-related information including how parents and children were navigating the situation at work and school. It should be noted that many questions on this second survey that participating parents completed were repeated from the first parental survey administered when children were completing the experiments. If the same question was asked on first and second parental surveys, missing responses on second survey were filled in with non-missing responses from first survey. Responses may vary for certain questions depending on whether it was a different parent who answered the first versus second survey. Therefore, it is required that it was the same parent was answering in order for these missing responses to be imputed this way.

Para poder aplicar técnicas de PLN y aprendizaje profundo capaces de reconocer de forma automática las menciones de las enfermedades raras y sus manifestaciones clínicas en textos es imprescindible contar con un dataset (colección de textos anotados con enfermedades y síntomas / signos) que pueda ser utilizado par entrenar y evaluar los distintos modelos. Con ese objetivo, dentro del proyecto NLP4RARE-CM-UC3M, creamos el corpus RAre4Dis, formado por 1.041 textos seleccionados de una de las principales bases de datos con información sobre enfermedades raras, Orphanet (https://www.orpha.net/consor/cgi-bin/index.php). Una vez definidas una metodología y guías de anotación, se anotaron las entidades (enfermedad, enfermedad rara, síntoma, signo y anáfora). El corpus de RareDis contiene más de 5.000 enfermedades raras y unas 6.000 manifestaciones clínicas. Para garantizar la calidad del corpus, se midió el acuerdo entre anotadores, alcanzando una medida F1 de 83.5%. El dataset, que es distribuido con particiones para entrenamiento, validación y evaluación, puede ser utilizado para entrenar y evaluar enfoques basados en aprendizaje automático y dirigido al reconocimiento de este tipo de entidades en textos médicos. A continuación, se presentan algunas tablas con información del número de textos y entidades más importantes del dataset:
Training Validación Test Total
Textos 729 - 104 - 208 - 1.041
Oraciones 6.451 - 903 - 1.787 - 9.141
Tokens 135.656 - 18.492 - 37.893 - 192.041

Training Validación Test Total
Disease 1.647 - 230 - 471 - 2.348
Rare Disease 3.608 - 525 - 1.088 - 5.221
Symptom 319 - 24 - 53 - 396
Sign 3.744 - 528 - 1.061 - 5.333
produces 4.106 - 556 - 1.131 - 5.793
increase-risk-of 169 - 22 - 54 - 245