Resultados de investigación

Energy meters provide valuable information that can be used to determine important features such as energy consumption of electrical devices and consumption habits in corporate, residential or public institutions. This information is crucial to establish energy saving strategies. With this aim, different approaches have been proposed in the literature, including non-intrusive load monitoring techniques, which enable the energy disaggregation of appliances and devices through a centralized measurement taken at panel level using a metering infrastructure. Generally, the accuracy of these techniques increases as more information is available on the analyzed signals or through subsequent post-computed values. Active power, reactive power, or even current harmonics measurements can be used for this task. However, the use of these and other recently proposed power and current features increases the dimensionality and, therefore, the complexity of the algorithms involved in the disaggregation process. Therefore, it is necessary to apply advanced techniques to reduce the dimensionality of the data, as well as the possible linear dependence between variables. This paper compares the performance of 8 data pretreatment methods and 6 dimensionality reduction techniques to data retrieved by an advanced metering infrastructure in a real environment consisting of 10 different home appliances. Results obtained from the comparative analysis show that the information provided by raw data can be enhanced by using pretreatment techniques and dimensionality reduction methods, especially when a custom combination of active power and current harmonics measures is considered. Keywords: Energy monitoring, energy data disaggregation, pretreatment methods, dimensionality reduction, harmonics, home appliances.

Datos de entrevistas para trabajo sobre asistencia sexual en salud, en relación a trabajo investigación máster sexología.

This is the dataset used for the study titled Reappraisal of Personal Values in Cancer: The Clinical Benefits of Meaning-in-Life Adaptability

Dataset of the paper: García-Granero, E.M., Piedra-Muñoz, L. (AC), Galdeano-Gómez, E., 2020. Measuring eco-innovation dimensions: The role of environmental corporate culture and commercial orientation, Research Policy, 49 (8): 104028, doi:10.1016/j.respol.2020.104028. Link: https://www.sciencedirect.com/science/article/abs/pii/S0048733320301074. 0048-7333/ © 2020 Elsevier Ltd. All rights reserved.

The invasive mealybug Delottococcus aberiae De Lotto (Hemiptera: Pseudococcidae) has become a key pest in Mediterranean citrus. This mealybug species excretes honeydew that can be consumed by ants, which may give rise to mutualistic relationships and increase the invasibility of this exotic pest. Here, we studied the interaction between D. aberiae and ants in 16 citrus orchards located in the main citrus-growing area of Spain (Valencia) during two consecutive years. The aim of the present research was to study the interactions between D. aberiae and ant species in Spanish citrus orchards to determine whether these interactions can accelerate the invasion by this mealybug species. For this, 16 citrus orchards were sampled during two consecutive years to: i) identify the ant species that attend D. aberiae; ii) determine the level and density-dependence of ant-attendance; and finally, iii) evaluate the correlation between ant activity and D. aberiae density. The data set includes information on the abundance of mealybugs, ants, and predators in different parts of citrus trees from the orchards sampled in spring, summer, and autumn of 2020 and 2021., This dataset is associated to the published paper “Native ants facilitate the invasion by Delottococcus aberiae in Mediterranean citrus”. In this paper, the mutualistic relationship between Mediterranean ants and the invasive mealybug Delottococcus aberiae in citrus orchards from eastern Spain is described.

This collection brings together the different datasets used to generate the paper "Do hyperparasitoids disrupt the biological control of Pseudococcus longispinus in persimmon?". In this paper, we tested whether hyperparasitoids disrupt the biological control of P. longispinus in Mediterranean persimmon. For this purpose, we sampled 16 orchards over two consecutive years. In these orchards, we first identified the primary parasitoids and hyperparasitoids that attack P. longispinus in persimmon and measured the rates of parasitism and hyperparasitism. Then, we evaluated whether parasitism and/or hyperparasitism rates affect the population growth rate of P. longispinus. Finally, we determined whether hyperparasitoids emerged from mealybug hosts of similar size than females of the primary parasitoids. These and other biological traits of the primary parasitoids and hyperparasitoids were analyzed to better understand their coexistence and their effects on P. longispinus. The collection includes two files that contains data used for the different sections explained in detail in the methodology of the paper. It also includes a README file explaining the structure of the data., This dataset is associated to the published paper “Do hyperparasitoids disrupt the biological control of Pseudococcus longispinus in persimmon?”. We tested whether hyperparasitoids hinder the biological control of P. longispinus in Mediterranean persimmon. For this aim, we sampled 16 orchards across two consecutive years and measured the impact of primary parasitoids and hyperparasitoids on P. longispinus. The collection includes several files that contains data used for the different sections explained in detail in the methodology of the paper.

This collection brings together the different datasets that have been used to generate the paper "Mealybugs in Mediterranean persimmon: fruit infestation, seasonal trend and effect of climate change". The aims of this work were to: i) determine the spatio-temporal dynamics of mealybug species in the main persimmon producing area of the Mediterranean basin; ii) determine seasonal trend, phenology, and fruit infestation of the main mealybug species; and, iii) predict the effect of climate change on mealybug phenology. To achieve the third aim, the thermal constant necessary to complete a generation for the main mealybug species identified was estimated under field conditions. The collection includes different data folders. Each folder contains datasets used for the different sections explained in detail in the methodology of the paper. Each folder includes README files explaining the methodology for collecting the data and the structure of the datasets., This dataset is associated to the published paper “Mealybugs in Mediterranean persimmon: fruit infestation, seasonal trend and effect of climate change”. We identified the main mealybug species in Mediterranean persimmon, determined their phenology, and developed tools to predict damage at harvest. To do this, we sampled 17 orchards from the main persimmon producing area in Spain over two consecutive years. The collection includes several files that contains data used for the different sections explained in detail in the methodology of the paper.

This study was carried out in 17 persimmon orchards from western Mediterranean basin, the main persimmon producing area from the Mediterranean Basin. Nine trees were sampled per plot in spring (between May 10 and 22), summer (between July 14 and July 27) and early-autumn (between September 27 and October 10) across two consecutive years (2020 and 2021). For each tree, sampling season and year, 120 leaves (30 per cardinal direction), 40 fruits (10 per cardinal direction) and the surface of the trunk (from the base to a 50 cm height) were surveyed. All mealybugs and ants were identified down to species level and counted, as well as the number of the long-tailed mealybug P. longispinus per developmental stage (instar). Additionally, the number of parasitized P. longispinus was recorded from all the individuals surveyed, and we also registered the abundance of potential predators of P. longispinus. The data set contains a CSV file that includes the raw data collected in the study (i.e., per sampling unit). A legend is included to facilitate the interpretation of the data., These data collect the abundance of mealybugs and their associated ants in persimmon orchards in the western Mediterranean. Additionally, parasitism of the most abundant mealybug species, P. longispinus, is recorded, along with the abundance of its potential predators. The study was conducted in 17 persimmon plots in the Valencian Community, the main producing area of this crop in the Mediterranean basin, during the years 2020 and 2021.