Resultados de investigación

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

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: Peru

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

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: Dominica

This local geomagnetic index indicates the perturbation of the geomagnetic field (horizontal component) for several locations. It is a measure of the external to the Earth irregular geomagnetic variations. It is obtained after removing a baseline and the daily regular variation from observed measurements. See also Files description.

Número y valor de las primeras propiedades registradas con títulos posesorios y absolutos (1863-1944)

Calor. Meteorología. Charcos. Tipologías de cursos de agua: río, ribera y regato. Arco iris. Arreboles. Cabañuelas y témporas. Cielo aborregado. Fases de la luna. Helar., Calor. Meteorologia. Poças. Tipos de cursos de água: rios, ribeiras e regatos. Arco-íris. Arrebois.Témporas. Céu aborregado. Fases da lua. Gelar., Heat. Meteorology. Puddles. Types of water courses: river,stream, rivulet. Rainbows. Mackerel sky. Afterglow. Folk weather predictions. Phases of the moon. Freezing.

Acercamiento etnográfico a los laboratorios ciudadanos de Medialab Prado mediante registro gráfico de su programa, distribución arquitectónica y contexto urbano

Análisis urbano y arquitectónico del edificio de la Serrería Belga, ubicado en Madrid, cuando albergaba el programa de Medialab Prado.

Fuel mapping is essential for improving fire risk assessment and enhancing fire behavior modeling. Although approximately 2% of European wildfires are classified as crown fires—extreme events responsible for the most significant damage—there is currently a lack of comprehensive methods for mapping both surface and canopy fuels within an integrated classification system.

This dataset provides fuel type maps for the overstory and understory, generated by considering forest structure and phenology in Central Portugal, specifically at the FirEUrisk Pilot Site 3 (PS3). The dataset has a spatial resolution of 20 meters and includes three distinct fuel maps: Overstory fuel type map (19 classes), Understory fuel type map (7 classes), and Integrated overstory and understory fuel type map (55 classes).

This dataset contributes to the advancement of wildfire risk assessment by providing detailed and structured fuel classification, supporting better predictions of fire behavior and aiding in fire management strategies. More information about generation of these maps can be found in: Mohammadpour, P., D. Viegas, X., Pereira, A., and Chuvieco, E.,: Multitemporal Sentinel and GEDI data integration for overstory and understory fuel type classification, International Journal of Applied Earth Observations and Geoinformation, special issue: Remote Sensing of Wildfires, https://doi.org/10.1016/j.jag.2025.104455, 2025.

The project’s main aim is to analyze the multimodal representation of the Syrian refugee crisis in 2016 in two European newspapers, The Guardian from the UK and El País from Spain, in order to unveil which strategies are used, both in headlines and photos, to construe a specific conceptualization of the two opposing groups involved, European citizens (us) and Syrian immigrants (them).

The dataset includes 100 newspaper headlines and 100 images (50 UK and 50 Spanish) from 2016.