BUSCADOR RECOLECTA

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: Equatorial Guinea

Entrevista a informante 1 en Malpica do Tejo. El ganado (burros, cerdos, ovejas y vacas). El esquilado. La leche. Insectos, anfibios y reptiles., O gado (burros, porcos, ovelhas e vacas). A tosquia. O leite. Insetos, anfíbios e répteis., The cattle (donkeys, pigs, sheep and cows). The shearing. The milk. Insects, amphibians and reptiles.

R scripts showing how to use climwin package with tree-ring width and anatomy chronologies. The databases needed to use the scripts are included.

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FILES

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1. climwin with dendro and anatomy.R

R script in which climwin is used to study the growth/anatomy-climate relationships of 5 species with weekly time resolution.

2. climwin with the river flow.R

R script in which climwin is used to study the growth-river flows relationships of 2 sites with monthly time resolution.

3. Pinus sylvestris model.R

R script in which climwin is used to fit a multiple linear regression.

4. RingWidths.csv

Database of detrended growths and anatomical variables needed to run the R scripts.

Abbreviations:

LA - lumen area

CWT - cell wall thickness

ew - earlywood

lw - latewood

Ps - Pinus sylvestris (Corbalán site)

Aa - Abies alba (Paco Ezpela site)

VA1 - Valdelinares (Pinus uncinata)

AL - Alcalá de la Selva (Pinus sylvestris)

CO - Olmedilla (Pinus nigra)

AC - Alto de Cabra (Pinus pinaster)

VH - Valbona (Pinus halepensis)

5. climate.rds

Database of climate needed to run the R scripts.

Abbreviations:

T - Temperature

Tmax - Maximum temperature

Tmin - Minimum temperature

P - Precipitation

spei - Standardized Evapotranspiration Precipitation Index using a range of time scales (1, 3, 6, 9, 12, 24, 36 and 48 months) over which water deficits and surplus accumulate are considered.

6. Fraxinus.csv

Database of detrended growths of Fraxinus needed to run the R scripts.

7. River flow.csv

Database of river flow needed to run the R scripts.

8. readme.txt

txt file explaining the details of the data.

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