BUSCADOR RECOLECTA

Todo el mundo hablaba ferrereño. Los jóvenes ya no saben. El papel del maestro como represor. Él fue algo a la escuela. Hizo el servicio militar en Melilla, y ya entonces sabía hablar castellano. El dialecto de Casalinho (Cedillo). Conversación con unos paseantes sobre el ferrereño y la relación con Malpica., Todos falavam ferrerenho. Os jovens já não sabem. O papel do mestre como repressor. Ele foi para a escola. Fez o serviço militar em Melilla, e já sabia falar espanhol. O dialeto de Casalinho (Cedillo). Conversação com transeuntes sobre o ferrerenho e a relação com Malpica., Everyone spoke Ferrereño. Young people no longer know. The role of the teacher as repressor. He went to school. He did his military service in Melilla, and he already knew how to speak Spanish. The dialect of Casalinho (Cedillo). Conversation with passers-by about the Ferrereño and the relationship with Malpica.

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

The dataset is stored in one spreadsheet file with two sheets. The sheet named "Teamwork" contains data regarding the measurement of the teamwork soft skill acquisition. The sheet named "Knowledge" contains data regarding the measurement of the knowledge acquisition about human-computer interaction. -Columns of the sheet "Teamwork"- Timestamp_PRE. Timestamp of the pretest. CodGroup. Three possible values: Early childhood education degree (1), Primary education degree (2), and Computer science (3) Gender. Two possible values: Male(M) and female (F). Age. Age range: 18, 19-20, 21-22, 23-24, and 25-30 AcadYear. Academic year of the degree where the student is enrolled: First (1), second (2), second (3), and fourth (4) WORK_PRE. Completing assigned tasks within the deadline as group member. Measured in the prestest. Being 1 the worst case and 5 the best case. PARTI_PRE. Participating actively in team meetings, sharing information, knowledge, and experiences. Measured in the prestest. Being 1 the worst case and 5 the best case. ORGA_PRE. Collaborating in defining, organizing, and distributing group tasks. Measured in the prestest. Being 1 the worst case and 5 the best case. COHE_PRE. Focusing on and being committed to agreement and shared objectives. Measured in the prestest. Being 1 the worst case and 5 the best case. SOCIAL_PRE. Social value of activity, taking into account the points of view of others and giving constructive feedback. Measured in the prestest. Being 1 the worst case and 5 the best case. TEAMW_PRE. Aggregates the five previous columns. Being 1 the worst case and 5 the best case. Timestamp_POS. Timestamp of the postest WORK_POS. Completing assigned tasks within the deadline as group member. Measured in the postest. Being 1 the worst case and 5 the best case. PARTI_POS. Participating actively in team meetings, sharing information, knowledge, and experiences. Being 1 the worst case and 5 the best case.Measured in the postest. ORGA_POS. Collaborating in defining, organizing, and distributing group tasks. Measured in the postest. Being 1 the worst case and 5 the best case. COHE_POS. Focusing on and being committed to agreement and shared objectives. Measured in the postest. Being 1 the worst case and 5 the best case. SOCIAL_POS. Social value of activity, taking into account the points of view of others and giving constructive feedback. Measured in the postest. Being 1 the worst case and 5 the best case. TEAMW_POS. Aggregates the five previous columns. Being 1 the worst case and 5 the best case. KNOWLEDGE. Knowledge acquisition regarding human-computer interaction concepts -Columns of the sheet "Knowledge"- Group. Two possible values: Control group (0) and experimental group (1) Know. Measurement of the knowledge acquisition as a numeric value in the range [0-10], being 0 the worst case and 10 the best case.

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: Colombia

This database includes the results of evolution in the number of food alerts that have noted high levels of pyrrolizidine alkaloids (PAs), tropane alkaloids (TAs) and opium alkaloids (OAs) from 2012 to 2022, distribution of food alerts based on the food type contaminated, overview of the number of works currently available in the literature addressing the effect of different food processing and culinary preparations, thermal treatment effects, fermentation effects on the content of PAs, TAs and OAs, and transfer rate of PAs, TAs and Oas during brewing processes according to literature data

This project analyses the origin of the flint used in early MIS 3 and late MIS 4 by the Neanderthals of El Castillo. The results provide provenances of more than 400 km in the south of France and 200 km to the west (central Asturias). This generates a social territory of these Neanderthal groups of about 600 km in length and broadens the knowledge of the exchange networks known to the Neanderthals.

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

Conversaciones fragmentarias en torno a los animales del recinto: caballos, gatos y perros (solo videocámara), Conversas fragmentárias sobre os animais no recinto: cavalos, gatos e cães (apenas câmera de vídeo)., Fragmentary conversations about the animals in the enclosure: horses, cats and dogs (video camera only).

This database includes the principles of the Green Sample Preparation (GSP) concept, the main applications of µSPEs to food samples in the last five years, and the criteria for calculating the penalty points (PPs) in an Analytical Eco-Scale metric tool

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