BUSCADOR RECOLECTA

Datasets are available in CSV format, being the field delimiter « , » (comma). For further clarification, please look at the README files of every data subset., Part B of this dataset is available at http://hdl.handle.net/2445/139554 under embargoed access, This dataset refers to PERCEIVE tasks 2.2, 2.3, 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.

Datasets are available in CSV format, being the field delimiter « , » (comma). For further clarification, please look at the README files of every data subset., Part A of this dataset is publicly available at http://hdl.handle.net/2445/137318, 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.

The data acquisition contract was awarded to ENRESA and took place in November and December 2013. Seismic data was successfully collected in the Záncara river basin (Cuenca, Spain). The total amount of seismic reflection data collected was 9.7 km in 4 high-resolution seismic reflection profiles E-W oriented. Technical specifications of the profiles: Seismometer: 10 24-channel GEODE ultra-light seismic recordes, Receiver number: 240, Receiver interval: 2 m, Source: accelerated weightdrop 250 kg and 100 kg, Source interval: 6 m, Sample rate: 1 ms, Record time: 4 s. Contact person: Carbonell, R., rcarbo@ictja.csic.es, A high-resolution 2-D seismic reflection survey was acquired to obtain a seismic image of the geological structure of the Záncara river basin (eastern Spain). The study area consists of lutites and gypsum from a Neogene sedimentary sequence. The project also targeted the geometry of the geological structure and the mechanical properties of the underground materials. In addition, this study allowed for an improvement of the geophysical acquisition technics and protocols that provided with a better resolution seismic imaging. Thus, reducing costs and improving the effectiveness of the seismic acquisition., Convenio Colaboración CSIC-ENRESA. Código CSIC: 20133830, Peer reviewed

The data acquisition contract was awarded to ENRESA and took place in January 2014. Seismic data was successfully collected in the Záncara river basin (Cuenca, Spain). This is a high-resolution seismic tomography survey to obtain a full 3-D P-wave seismic velocity image of the studied area. A regular and dense grid of 676 shots and 1200 receivers was used to image a 500 m x 500 m area of the shallow surface. A 240-channel system and a seismic source, consisting of an accelerated weight drop, were used in the acquisition. Half a million travel-time picks were inverted to provide the 3-D seismic velocity distribution up to 120 m depth. The 3-D survey was acquired in five swaths, each one consisting on five receiver lines, resulting in a total of 3380 shot gathers. Technical specifications of the profiles: Receiver number: 240, Receiver interval: 2 m, Source accelerated weightdrop: 250 kg, Source interval: 6 m, Sample rate: 1 ms, Record time: 4 s., In this repository, in addition to the seismic 3DSurvey, a resistivity model (VICANAS_3D_Res_UTM30), a lithological model (VICANAS_3D_Vp_Res_Lito_UTM30), and a training set (VICANAS_Training_set) are available. In order to improve the geological interpretation of the seismic tomography, we integrated it with the resistivity model to build a 3D lithological model. To this aim, we created a new bi-parameter grid with Vp and Res values at each node. Then, we lithologically classified the nodes using supervised learning according to a training set extracted from the wells., A high-resolution seismic tomography survey was acquired to obtain a full 3-D P-wave seismic velocity image of the Záncara river basin (eastern Spain). The study area consists of lutites and gypsum from a Neogene sedimentary sequence. The project also targeted the geometry of the underground structure with emphasis on defining the lithological contacts but also the presence of cavities and faults or fractures. An extensive drilling campaign provided uniquely tight constraints on the lithology; these included core samples and wireline geophysical measurements. The analysis of the well log data enabled the accurate definition of the lithological boundaries and provided an estimate of the seismic velocity ranges associated with each lithology. The final joint interpreted image reveals a wedge-shaped structure consisting of four different lithological units. The study features the necessary key elements to test the travel time tomographic inversion approach for the high-resolution characterization of the shallow surface. In this methodological validation test, travel-time tomography demonstrated to be a powerful tool with a relatively high capacity for imaging in detail the lithological contrasts of evaporitic sequences located at very shallow depths, when integrated with additional geological and geophysical data., Convenio Colaboración CSIC-ENRESA. Código CSIC: 20133830, Peer reviewed

Two land seismic profiles across the Betic Chain imaged the deep structure of the crust belonging to two different crustal domains. To the north, one profile samples the crust of the Variscan Iberian Massif that underlies the sedimentary cover of both the Guadalquivir foreland basin and the South Iberian crustal domain. A second profile crosses the Alpine metamorphic complexes of the Betics., Comisión Interministerial de Ciencia y Tecnología - CICYT.-- Dirección General de Investigación Científica y Técnica - DGICYT.--, Peer reviewed

We provide the code for producing Functional Urban Areas by means of using OSM and Google maps data., Dades associades a l'article: Obaco A., Moisés; Royuela Mora, Vicente (2019): Identifying functional urban areas in Ecuador using a varying travel time approach,. Publicat a: Geographical Analysis, 2020, vol. 52, n. 1. (https://onlinelibrary.wiley.com/doi/10.1111/gean.12190). DOI: https://doi.org/10.1111/gean.12190., Podeu consultar l'article associat a: http://hdl.handle.net/2445/154578, Identifying integrated urban areas is an important issue for urban analysis and policy evaluation. In this paper, we provide a set of FUAs suitable for monitoring urbanization in Ecuador, a less developed country without commuting data. We do so substituting such socioeconomic flows by available information on road structure, which allow us to work with accessibility based on a varying travel time. In order to build Ecuadorean FUAs, we calibrate our methodology considering Colombian data. We perform several sensitivity analysis and robustness checks to Ecuador with alternative sources of socioeconomic flows. We conclude that the use of GIS data and the calibrated thresholds provide a set of FUAs close to the ones that would result of using commuting information.