University of La Laguna Showcase

Checklist of West African elasmobranchs, based on Weighmann (2016) global annotated chondrichthyan checklist. Following taxonomically Naylor et al (2012), and considering all reports from documented databases and references, in the ecorregions 79, 80 and 81 of Spalding et al. (2007) system.

Dataset artificially generated through the Generative Adversarial Networks of students in postgraduate degrees at the University of La Laguna on levels of use of digital tools and frequency of personal activities with ICT.

Here are the 240 instances for the "Capacitated Vehicle Routing Problem" used in the article "The Capacitated Vehicle Routing Problem: Stronger Bounds in Pseudo-Polynomial Time", written by Adam Letchord and Juan-Jose Salazar-Gonzalez, and published in "European Journal of Operational Research" 2018. https://doi.org/10.1016/j.ejor.2018.06.002 Each instance has 15 customers and 1 depot, and is in a text file following the TSPLIB95 format for CVRP instances. There are instances with asymmetric (A) and with symmetric (S) distances, with unit demands (U) and with general demands (G). The U instances have vehicle capacity in {4,6,8} and the G instances have vehicle capacity in {100,150,200}.

Local environmental conditions (time of wetness (hours/year), average Cl- and SO2 depositions (mg/(m2·day))) at the 74 corrosion exposure sites determined during 3 years in the Canary Islands

Database with all the reviewed articles (n=1093), together with the exclusion criteria applied for the elaboration of the paper titled "The role of videogames in mediating executive functions in adolescence and early adulthood: a systematic review"

This data set corresponds to the referenced work (https://doi.org/10.1038/s41612-023-00358-7), related to climate projections, for the Canary Islands, of some aridity and drought indices. The meteorological variables used to calculate these indices are also provided, as they may be useful for other studies. Regional climate simulations, at 3 km resolution, were computed using the WRF model driven by three CMIP5 global climate models (GFDL-ESM2M, IPSL-CM5A-MR and MIROC-ESM). The simulations were performed for three 30-year periods, recent past (1980–2009), mid-century (2030–2059), and end-century (2070–2099) and two future greenhouse gas emission scenarios (RCP4.5 and RCP8.5). Each file name has the following nomenclature: canary_VAR_PERIOD_FREQ_mean_WRF_driven_by_GCM.nc where: * VAR is the variable (aridity, evspsblpot, pr, spi3, spi12, spei3, spei12, tasmin, tasmax, sfcWind) * PERIOD is the simulation period, and also indicates, for future periods, the corresponding emission scenario (1980_2009, 2030_2059_rcp45, …) *FREQ is the frequency for data: year (mean value of annual values for the whole period) or monthly (mean value for each month, that is, the average for all the januaries, …) * GCM is the global climate model (GCM) whose results have been used to drive the WRF simulations (GFDL_ESM2M, IPSL_CM5A_MR, MIROC_ESM) The variables provided are: * aridity: Aridity index (UNEP, 1992), defined as P/PET where PET is the mean annual potential evapotranspiration and P is the average annual precipitation for the same period. * evspsblpo: mean (over the period) of the monthly potential evapotranspiration (PET). The Penman–Monteith (PM) method was used to calculate PET. Units are kg m-2 s-1. To convert, for example, the january value to the total mean evapotranspiration for that month, in mm, the original value must be multiplied by 60*60*24*31 = 2678400 (seconds in that month). * pr: precipitation. Units are kg m-2 s-1. Therefore, the unit conversion factor is the same as for evapotranspiration. * spi3: Standardized Precipitation Index computed from precipitation amounts for an accumulation period of 3 months. SPI values below ‒1 indicate rainfall deficits (drier than normal), while SPI values above 1 indicate excess rainfall (wetter than normal). The lower the SPI, the more intense the drought. Values are provided only for future periods, since, being a standardized index, the average over the same period in which the cumulative probability function is calculated (1980-2009) is zero. * spi12: same as spi3 but for an accumulation period of 12 months. * spei3: Standardized Precipitation-Evapotranspiration Index, computed from “precipitation minus PET” amounts for an accumulation period of 3 months. * spei12: same as spei3 but for an accumulation period of 12 months. * tasmin: monthly mean of daily minimum temperature, in K. * tasmax: monthly mean of daily maximum temperature, in K. * sfcWind: monthly mean 10 m wind speed, m s-1

This repository contains the database used for the development of the study "Evolution and Trends in Research on Family Digital Leisure: A Bibliometric Analysis" followed the PRISMA 2020 Protocol. This study aims to analyze the evolution of the field of research on family digital leisure from 2012 to 2022. The analysis, conducted through a bibliometric approach, seeks to identify trends, changes, and emerging patterns in scientific literature. To achieve this purpose, two specific objectives were established. First, the temporal evolution of the field was explored, evaluating the variation in scientific production and academic attention over the last decade. Second, emerging themes and thematic groups that have gained relevance in scientific literature were identified. On January 31, 2023, a search was conducted in the topic section (abstract, title, and keywords) of the Web of Science (WoS), Clarivate Analytics, and Scopus Main Collection. The descriptors used were: (leisure OR game OR entertainment) AND (digital OR internet OR online OR cyber OR technolg* OR ICT OR ICTs) AND (family). This search was limited to the years 2012-2022. The initial search generated 2953 results, which, after removing duplicates, were reduced to 1843 documents. These were subjected to the following inclusion criteria: (1) being articles or reviews and (2) having been published between 2012 and 2022. Consequently, chapters of books, conference papers, and other formats were excluded, as well as scientific production accepted for publication in 2023 (early or advance access). Finally, 1381 documents were obtained to carry out the bibliometric study.

Data set for the Orienteering Problem with Synchronization (OPS). This document contains four classes of benchmark instances for the OPS, the C++ code used to their generation, and a description of the file format.

This data set corresponds to the referenced work (https://doi.org/10.1038/s41598-022-12132-5), related to climate projections, for the Canary Islands, of some risk indicators derived from the Canadian Forest Fire Weather Index (FWI). Climate regionalized projections for the Canary Islands were performed, at 3 km spatial resolution, using as boundary conditions some of the results provided by the Coupled Model Intercomparison Project (CMIP5) initiative, and covering the recent past (1980–2009) and future (2070–2099) periods, under two Representative Concentration Pathways, 4.5 and 8.5. A dynamical downscaling technique has been applied, using the Weather and Research and Forecasting (WRF) model driven by the results of three CMIP5 models (GFDL-ESM2M, IPSL-CM5A-MR and MIROC-ESM). Each file, in netCDF format, has a name with the following nomenclature: canary_VAR_PERIOD_FREQ_mean_WRF_driven_by_GCM.nc where: * VAR is the variable (fot30, fwi, lofs) * PERIOD is the simulation period, and also indicates, for future periods, the corresponding emission scenario (1980_2009, 2070_2099_rcp45, 2070_2099_rcp85) *FREQ is the frequency for data: year (mean value for the annual values of the whole period) or monthly (mean value for each month, that is, the average for all the januaries in the period, …) * GCM is the global climate model (GCM) whose results have been used to drive the WRF simulations (GFDL_ESM2M, IPSL_CM5A_MR, MIROC_ESM) The three variables provided are: * fwi: monthly mean of daily values for the Canadian Forest Fire Weather Index (FWI). For this variable, results are also provided for a mid-century period (2030-2059). * fot30: percentage of days with an FWI greater than 30. This value is usually considered as an indicator of severe fire danger situations. * lofs: measures the extension in days of fire weather season. This starts/finishes each year when FWI exceeds/decreases the value 15 for more than two consecutive weeks. The provided values correspond to the average for each period analyzed.

This is the self-running application that allows you to compare the graphical performance of your PC when using photogrammetric 3D models and models under mesh retopology. The development of this application is part of the work published in the article "Retopología de mallas aplicada a modelos 3D de patrimonio cultural para la mejora de la visualización interactiva en realidad virtual y realidad aumentada". The instructions for use are inside the file.