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1765 research outputs found
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Absell-Federico-Tena World Trade Historical Database 1948-2020 : Italy
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: Ital
Absell-Federico-Tena World Trade Historical Database 1948-2020 : Turkey
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: Turke
Acceleration of the Diels-Alder reaction between 9-functionalized anthracenes and C60/C70 in the cavity of a water soluble (dataset)
No full textHerein we report on the acceleration of the Diels-Alder reaction between a series of 9-
functionalized anthracenes and C60/C70 encapsulated in a water-soluble metallo-organic Pd(II)-subphthalocyanine
cage (SubPc-cage), which performs as a catalytic molecular reactor that provides a beneficial
hydrophobic environment. Negatively and positively charged anthracenes do not react either with C60 or C70,
due to a favored solvation in water medium and/or to detrimental interactions with positively-charged Pd(II)
corners of SubPc-cage. Experiments with C60 and C70 rendered parallel results, although C70 proved more
reactive, leading to anthracene cycloadducts by reaction in the α bonds. All the results have been rationalized
by theoretical calculations at the GFN2-xTB level.
Structural and photophysical characterization of compounds (Raw data). Supplementary material of the paper published in doi:10.1002/adsc.202301336</p
Geometries-DTP
No full textData employed to obtain the results contained in the manuscript "Antiaromatic non-alternant heterocyclic compounds as molecular wires".
The methodology applied is a combination of DFT and Green´s functon techniques. </ul
Datos para pruebas de localización híbrida en robótica móvil
No full textDatos de sensor láser, RGB-D y odometría obtenidos con un robot Tiago real y en simulación para pruebas de localización híbrida mediante detección de marcas rectangulares
Absell-Federico-Tena World Trade Historical Database 1948-2020 : Jordan
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: Jorda
SoftArmControl: Data and results of the identification and control of a soft robotic arm
No full textDifferent csv files are available that include information about the pose (yaw and pitch angles) of the soft arm while varying the position of its motors. Three datasets are specifically available: experimental data used for the identification of the soft arm model; experimental data from the use of different controllers for the soft arm to reach a pose; and experimental data from the use of different controllers for the soft arm to follow a trajectory.
Apart from the datasets, different codes have been also generated in Matlab and C++ to manage the datasets and obtain the results shown in the associated paper, mainly the following results: soft arm model identification results; control results when using a PI controller for the robot to reach a pose and follow a trajectory; control results when using a fractional-order controller for the robot to reach a pose and follow a trajectory
Absell-Federico-Tena World Trade Historical Database 1948-2020 : Belize
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: Beliz
FirEUrisk_canopy_fuel_parameters: canopy height, canopy cover and canopy base height
No full textThe dataset of European canopy fuel parameters, at 1 km spatial resolution, encompasses a total of 6 maps including: forest canopy height, canopy cover and canopy base height, along with their associated uncertainties. They have been generated by integrating GEDI with other sensors. Further details about the generation of these maps can be read in Aragoneses, E., García, M., Ruiz-Benito, P., and Chuvieco, E.: Mapping forest canopy fuel parameters at European scale using spaceborne LiDAR and satellite data, Remote Sensing of Environment, 2024 [accepted]. These maps complement the categorical information of the FirEUrisk European fuel type map for the forest fuel types in Aragoneses, E., García, M., Salis, M., Ribeiro, L. M., and Chuvieco, E.: Classification and mapping of European fuels using a hierarchical, multipurpose fuel classification system, Earth System Science Data, 15, 1287–1315, https://doi.org/10.5194/essd-15-1287-2023, 2023.
In-detail description of the dataset and methodology: Spatially explicit data on forest canopy fuel parameters provide critical information for wildfire propagation modelling, emission estimations and risk assessment. We developed a two-step, easily replicable methodology to estimate forest canopy fuel parameters (canopy height, canopy cover and canopy base height) for the entire European territory, based on data from the Global Ecosystem Dynamics Investigation (GEDI) sensor, onboard the International Space Station (ISS). First, we simulated GEDI pseudo-waveforms from discrete ALS data over forest plots. We then used metrics derived from the GEDI pseudo-waveforms to estimate mean canopy height, canopy cover and canopy base height, for which we used national forest inventory and airborne LiDAR as reference data. The second stage was to generate wall-to-wall maps of canopy fuel parameters at 1 km resolution using a spatial interpolation of GEDI-based estimates for polygons with GEDI footprints within. For those polygons for which GEDI observations were not available (mainly Northern latitudes, above 51.6ºN), the parameters were estimated using random forest regression models based on multispectral and SAR imagery and biophysical variables. Uncertainty maps for the estimated parameters were provided at the grid level, considering the propagation of individual errors for each step in the methodology. The final outputs provide a wall-to-wall estimation for the continent of Europe of three critical parameters for modelling crown fire propagation potential and demonstrate the capacity of GEDI observations to improve the characterisation of fuel models.
FirEUrisk project: This project has been granted funding from the European Union’s Horizon 2020 research and innovation programme under Grant Agreement No. 101003890. The FirEUrisk project pretends to harmonize and upgrade current European strategies by including the socio-economic circumstances that affect the occurrence of extreme wildfires as well as the biophysical conditions, such as vegetation and climate. This mix of perspectives allows a better understanding of how vulnerable communities are to wildfires and which are the best practices to adapt.</p
Datos de trabajo para el curso “Datos de investigación: Introducción a la visualización de datos con R”
No full textDatos utilizados en las sesiones del curso “Datos de investigación: Introducción a la visualización de datos con R” .
Mediante la participación en este curso, se espera que las personas participantes obtengan las siguientes competencias:
• Conocer los principios de visualización de datos a través de gráficos
• Manejar la plataforma R Studio y realizar funciones simples
• Realizar gráficos sencillos con ggplo