Resultados totales (Incluyendo duplicados): 4
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Dipòsit Digital de la UB
oai:diposit.ub.edu:2445/137318
Dataset. 2019

PERCEIVE WP2: EVALUATION OF EU CITIZENS’ PERCEPTION OF THE EU PROJECT: KEY VARIABLES FOR CITIZENS' IDENTIFICATION WITH EU - DATASETS - PART A

  • Calia, Pinuccia
  • López-Bazo, Enrique
  • Moreno Serrano, Rosina
  • Royuela Mora, Vicente
  • Suriñach Caralt, Jordi
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.

Proyecto: EC/FP7/693529
DOI: http://hdl.handle.net/2445/137318
Dipòsit Digital de la UB
oai:diposit.ub.edu:2445/137318
HANDLE: http://hdl.handle.net/2445/137318
Dipòsit Digital de la UB
oai:diposit.ub.edu:2445/137318
PMID: http://hdl.handle.net/2445/137318
Dipòsit Digital de la UB
oai:diposit.ub.edu:2445/137318
Ver en: http://hdl.handle.net/2445/137318
Dipòsit Digital de la UB
oai:diposit.ub.edu:2445/137318

Dipòsit Digital de la UB
oai:diposit.ub.edu:2445/139554
Dataset. 2019

PERCEIVE WP2: EVALUATION OF EU CITIZENS’ PERCEPTION OF THE EU PROJECT: KEY VARIABLES FOR CITIZENS' IDENTIFICATION WITH EU - DATASETS - PART B

  • Calia, Pinuccia
  • López-Bazo, Enrique
  • Moreno Serrano, Rosina
  • Royuela Mora, Vicente
  • Suriñach Caralt, Jordi
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.

Proyecto: EC/FP7/693529
DOI: http://hdl.handle.net/2445/139554
Dipòsit Digital de la UB
oai:diposit.ub.edu:2445/139554
HANDLE: http://hdl.handle.net/2445/139554
Dipòsit Digital de la UB
oai:diposit.ub.edu:2445/139554
PMID: http://hdl.handle.net/2445/139554
Dipòsit Digital de la UB
oai:diposit.ub.edu:2445/139554
Ver en: http://hdl.handle.net/2445/139554
Dipòsit Digital de la UB
oai:diposit.ub.edu:2445/139554

Dipòsit Digital de la UB
oai:diposit.ub.edu:2445/153597
Dataset. 2020

SPME-GC-MS RAW DATA FOR THE DEVELOPMENT OF PROFILING AND FINGERPRINTING ANALYSIS OF SESQUITERPENE HYDROCARBONS FOR THE GEOGRAPHICAL AUTHENTICATION OF EXTRA VIRGIN OLIVE OILS

  • Quintanilla-Casas, Beatriz
  • Bertin, Sofia
  • Leik, Kerstin
  • Bustamante Alonso, Julen
  • Guardiola Ibarz, Francesc
  • Valli, Enrico
  • Bendini, Alessandra
  • Gallina Toschi, Tullia
  • Tres Oliver, Alba
  • Vichi, S. (Stefania)
Dades de l'article publicat a la revista Food Chemistry, Volume 307, 1 March 2020, 125556. El podeu consultar a http://hdl.handle.net/2445/143358, Data base containing SPME-GC-MS raw analytical data obtained and used by Quintanilla-Casas et al. (Food Chemistry, 2020, 125556). Data correspond to 82 authentic and traceable olive oil samples, declared as EVOO by the suppliers obtained in the framework of OLEUM project (EC H2020 Programme 2014–2020) from seven different EU and non-EU countries: Croatia (n=11); Slovenia (SVN) (n=8); Spain (ESP) (n=17); Italy (ITA) (n=15); Greece (GRC) (n=6); Morocco (MAR) (n=15) and Turkey (TUR) (n=10). With the aim of reflecting the real production scenario, EVOO samples in this prospective study were obtained under usual production practices for commercial purposes, and thus consisted of both monovarietal oils as well as market blends of olive cultivars typical of each geographical origin. Briefly, data correspond to SPME-GC-MS scan intensities of the specific sesquiterpene hydrocarbon (SH) ions (m/z 93, 107, 119, 135, 157, 159, 161, 189 and 204) obtained from the Total Ion Current (TIC) between the 18th to the 30th minute. Thus, 2467 scans were obtained for each m/z ion implying 22203 variables per sample., 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).

Proyecto: EC/H2020/635690
DOI: http://hdl.handle.net/2445/153597
Dipòsit Digital de la UB
oai:diposit.ub.edu:2445/153597
HANDLE: http://hdl.handle.net/2445/153597
Dipòsit Digital de la UB
oai:diposit.ub.edu:2445/153597
PMID: http://hdl.handle.net/2445/153597
Dipòsit Digital de la UB
oai:diposit.ub.edu:2445/153597
Ver en: http://hdl.handle.net/2445/153597
Dipòsit Digital de la UB
oai:diposit.ub.edu:2445/153597

Dipòsit Digital de la UB
oai:diposit.ub.edu:2445/153997
Dataset. 2020

TOTAL ION CHROMATOGRAMS OBTAINED BY SPME-GC-MS OF VOLATILE FINGERPRINT OF OLIVE OIL SAMPLES

  • Quintanilla-Casas, Beatriz
  • Bustamante Alonso, Julen
  • Guardiola Ibarz, Francesc
  • García-González, Diego Luis
  • Barbier, Sara
  • Bendini, Alessandra
  • Gallina Toschi, Tullia
  • Vichi, S. (Stefania)
  • Tres Oliver, Alba
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).

Proyecto: EC/H2020/635690
DOI: http://hdl.handle.net/2445/153997
Dipòsit Digital de la UB
oai:diposit.ub.edu:2445/153997
HANDLE: http://hdl.handle.net/2445/153997
Dipòsit Digital de la UB
oai:diposit.ub.edu:2445/153997
PMID: http://hdl.handle.net/2445/153997
Dipòsit Digital de la UB
oai:diposit.ub.edu:2445/153997
Ver en: http://hdl.handle.net/2445/153997
Dipòsit Digital de la UB
oai:diposit.ub.edu:2445/153997

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