BUSCADOR RECOLECTA

Tipos de terreno y cultivos. Plantas y frutos. Tenían 30-40 vacas, para carne. Calostros; millará. Recogida y preparación del heno para dar de comer a las vacas. Utensilios agrícolas. Matanza. Preparación de los embutidos y de productos derivados (chanfaina). Insectos. El lagarto. La caza., Tipos de terras e culturas. Plantas e frutas. Tinham 30-40 vacas, para carne. Colostro; milharada. Recolha e preparação de feno para alimentação das vacas. Utensílios agrícolas. Matança. Preparação de enchidos e produtos derivados (chanfaina). Insectos. O lagarto. Caça., Types of land and crops. Plants and fruits. They had 30-40 cows, for meat. Colostrum; millará. Collection and preparation of hay to feed the cows. Agricultural utensils. Slaughter. Preparation of sausages and derived products (chanfaina). Insects. The lizard. Hunting.

Entrevista a Informante 1 (n. 1926) en Aldeia da Ponte. La leche: ordeño, comercio y productos derivados. Nombre de los animales. Esquilado. Matanza, O leite: mungidura, comércio e produtos derivados. Nome dos animais. Tosquia. Matação., Milk: milking, trade, and derived products. Name of the animals. Shorn. Slaughter

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

Estimación de costes de publicación en Open Access por pago de APC en el Consorcio Madroño de registros obtenidos de Scopus y WOS.

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: Jordan

Different 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.

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

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

La escuela. Las difíciles condiciones de vida: la gente vivía de la agricultura y de trabajos de subsistencia en la construcción. La emigración. La vida en la aldea actualmente es difícil, pero también aporta una calidad de vida que no hay en la ciudad., A escola. As difíceis condições de vida: as pessoas viviam da agricultura e dos empregos de subsistência na construção. A emigração. A vida na aldeia é atualmente difícil, mas também traz uma qualidade de vida que não existe na cidade., The school. The difficult living conditions: people lived on agriculture and subsistence jobs in construction. The emigration. Life in the village is currently difficult, but it also brings a quality of life that is not there in the city.

Entrevista a Antonio Lorenzo en Sela (Pontevedra). Ganado. El cerdo y la matanza. Animales salvajes., Gado. O porco e a matança. Animais selvagens, Cattle. The pig and the slaughtering. Wild animals.