Resultados de investigación

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.

Dades primàries de l'article publicat a la revista Food Science and Technology 121: 108936, Dataset containing SPME-GC-MS raw analytical data (total ion chromatograms, not aligned) obtained and used by Quintanilla-Casas et al. (LWT - Food Science and Technology 121: 108936). Data correspond to the volatile fingerprint of 174 authentic and traceable virgin olive oil samples previously graded by six official sensory panels (data from 2 outlier samples are not included) in the framework of OLEUM project (EC H2020 Programme 2014–2020). Briefly, data correspond to SPME-GC-MS scan intensities of the total ion chromatogram at each retention time from 5.5 to 61.96 min. These data were aligned and used under a fingerprinting approach by Quintanilla-Casas et al. to develop a classification model (PLS-DA approach) to verify the sensory quality of virgin olive oils, and it was suggested as an instrumental method to support sensory panels., SPME-GC-MS data have been obtained by researchers in the OLEUM project This work was developed in the context of the project OLEUM “Advanced solutions for assuring authenticity and quality of olive oil at global scale”, funded by the European Commission within the Horizon 2020 Program (2014–2020, grant agreement no. 635690). The information and views set out in this article are those of the author(s) and do not necessarily reflect the official opinion of the European Union. Neither the European Union institutions and bodies nor any person acting on their behalf may be held responsible for the use which may be made of the information contained therein. The study was also supported by the Ministerio de Ciencia, Innovación y Universidades (MICINN) from Spain through the Juan de la Cierva and Ramon y Cajal programs (JCI-2012_13412 and RYC-2017-23601), and by the Ministerio de Educación, Cultura y Deporte (MECD) from Spain through the FPU pre-doctoral program (FPU16/01744).

Dades trimestrals del nombre d'usuaris,sessions i referències relatives a l'ús del gestor bibliogràfic Refworks durant el període d'anys 2006-2013.

Dades relatives al nombre de consultes rebudes al Servei d'Atenció als Usuaris del CRAI de la Universitat de Barcelona el curs 2012-13, desglossades per tipus d'usuari i per assumpte, i dades del nombre de respostes donades en 24, 48 i 72 hores. Fins al 2012 aquest servei rebia el nom de PaB (Pregunteu al Bibliotecari) i actualment rep el nom de S@U (Servei d'Atenció als Usuaris). Us hi podeu adreçar mitjançant aquesta pàgina: http://crai.ub.edu/ca/que-ofereix-el-crai/sau.

Dades sobre formació d'usuaris de l'any 2008. Dades relatives al nombre d'hores programades, nombre d'hores impartides i nombre d'assistents als cursos de formació a mida, formació bàsica i formació avançada dels CRAI Biblioteques.

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Dades relatives al nombre de cerques al catàleg de fons modern del CRAI de la UB durant el curs 2004-2005. Inclou en format csv les dades mensuals desglossades per tipus de cerca i per la ubicació des d'on s'ha fet la consulta.

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.

Dades primàries associades a l'article publicat a Ecology and Evolution, 2019, vol. 9, p. 4760-4771. DOI: https://doi.org/10.1002/ece3.5079, Data is split in three datasets accounting for positioning data in the Mediterranean (GLSdata.E&E.csv), activity/immersion data during autumn and spring migrations (ACTdata.hourly.E&E.csv), and morphological data (Biometry.E&E.csv) of the four sampled population., // Arxius de dades: sobre la baldriga cendrosa del Mediterrani (Calonectris diomedea) recollides a Isla Palomas (Murcia), Cala Morell (Menorca), Illa de Zembra (Tunisia), i Illa Paximada (Creta, Grècia) des de 01/06/2014 fins 30/06/2016.

Dades primàries associades a un article pendent de publicació: Navas-Fernández, Miguel; Abadal, Ernest (2018). "Les revistes científiques de Catalunya 2014-2017". Anuari de l'Observatori de Biblioteques, Llibres i Lectura, vol 5., Podeu consultar l'article resultat al camp recurs relacionat