BUSCADOR RECOLECTA

The file contains all the formalisations that have been proposed in order to be able to carry out the checks of the doctoral thesis. The file is a script ordered by universal and where other more precise or alternative linguistic formalisations related to the analysed universal are also shown. The application of this script on the first 1000 treebanks of all the Universal Dependencies corpora (2.11) is what guides the results of the thesis.

This dataset refers to PERCEIVE tasks 2.4 and 2.5. These tasks analyze the data sets developed by PERCEIVE task 2.1 in order to identify, quantify and synthetize the most important variables to asses identification with EU by citizens. The results feed an update of the data set developed in task 2.1. Finally, these data is be used to model convergence of EU citizens' identification in the case study regions.
Data consists of the quantitative statistical information used to produce all the results of WP2 and the indicators regarding the variables of interest obtained by means of different statistical techniques. Moreover, data on absorption of EU funds, provided by the EC and other research centres and collected in task 2.5, is be gathered in this data set, together with the results of convergence analysis.
This data set is be used to evaluate the EU citizens’ perception of the EU project in relation to regional performance of the cohesion policy and institutional quality.
WP2 uses primary data from the survey developed in WP1 (“PERCEIVE: WP1: Framework for comparative analysis of the perception of Cohesion Policy and identification with the European Union at citizen level in different European countries: Task1.3: Survey at citizen level” data set) and also comparative case studies on EU countries and regions, coming also from WP1 (”PERCEIVE: WP1: Framework for comparative analysis of the perception of Cohesion Policy and identification with the European Union at citizen level in different European countries: Task1.1: The framework for the comparative analysis” and ”PERCEIVE: WP1: Framework for comparative analysis of the perception of Cohesion Policy and identification with the European Union at citizen level in different European countries: Task1.2: Focus group with Cohesion Policy practitioners” data sets). The data set incorporates data from existing sources including Eurostat and information resulting from the Survey conducted at WP1 of the PERCEIVE’s project. As regards secondary data, no additional treatment is needed. Info about the sources of such data, including references to technical details, is provided in the dataset's codebook.

Raw data from a study about understanding university students’ motives for physical activity (PA), and their relationships with Psychological Need Satisfaction (PNS) and characteristics of practice regularity (frequency, duration, team, competitive, coach, league, federation, and type of day of the week for PA).

Base de datos de peces de fondos rocosos utilizando diferentes métodos de censo visual en 5 reservas marinas del Mediterráneo occidental, que forman parte del trabajo de tesis doctoral de la primera autora, y utilizados en el artículo "Detection of protection benefits on predatory fishes depends on the census methodology adopted", Este estudio ha sido financiado por los proyectos: “Mecanismos de REcuperación de DEpredadores apicales en áreas marinas protegidas MEDiterráneas (REDEMED)” Programa Estatal de Investigación, Desarrollo e Innovación Orientada a los Retos de la Sociedad, Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016, Ministerio de Economía y Competitividad - CGL2013-49039-R y “Abundancia, selección de hábitat, síndromes de comportamiento y pautas de conectividad en depredadores apicales marinos mediterráneos (ABHACO2DE)” Fundación Séneca 19516/PI/14

Datos de abundancia y biomasa de peces en arrecifes rocosos de la reserva marina de Cabo de Palos - Islas Hormigas, obtenidos mediante. censos de peces en inmersión con escafandra autónoma, durante el periodo 1996-2018

Cuestionario para analizar la percepción de la competencia de Emprendimiento Digital para estudiantes universitarios que ha sido elaborado en el marco del proyecto EmDigital (financiado por la Fundación Séneca de la Región de Murcia).

En el marco del proyecto EmDigital (financiado por la Fundación Séneca de la Región de Murcia) hemos utilizado la técnica de la entrevista para analizar buenas prácticas de emprendimiento digital. Hemos entrevistado a 18 emprendedores digitales de éxito. Hemos optado por un tipo de entrevista semiestructurada y el procedimiento para la validación de la entrevista ha sido un juicio de expertos (método de agregados individuales).

Se presentan los datos obtenidos en la encuesta del proyecto DABE (de SEDEM y CEEM), en formato excel, para cumplir con los requisitos de Plos One de ofrecerlos en acceso abierto.