BUSCADOR RECOLECTA

We evaluated the degree of sexual segregation (SS) in the feeding ecology, in the choice of main non-breeding areas, in behaviour and in migratory phenology of three closely related shearwaters: Scopoli’s, Cory’s and Cape Verde shearwaters (Calonectris diomedea, C. borealis and C. edwardsii, respectively) during the non-breeding period in relation to the conditions of their different life strategies. The main objective of the study is to better understand the ecological and evolutionary role of sex on the spatial, behavioural and feeding ecology of birds during the non-breeding period, since most studies on birds have focused on the breeding period. The referred issues were addressed through a multidisciplinary approach combining geolocation and stable isotope data.

[eng] This a dataset related to the Diada de Sant Jordi through TV3 public audiovisual archive. This dataset contains for a total of 572 videos with title, link, length in time and the program that have published information about this day. Most of these videos belong to the news program. This dataset is published on the occasion FIAT-IFTA Media Studies Grant 2019. Additionally, three more files are included. These files include the final sample, the queries on Tv3 archive and recommended books that appear on the footage. The final sample has 339 videos and queries are useful to look by year, [cat] Aquest és un dataset vinculat a la Diada de Sant Jordi dels arxius audiovisuals públics de Tv3. Aquest dataset conté un total de 572 videos amb el títol, dreçera, longitud en temps i el programa que ha publicat informació relativa aquest dia. La major part d'aquests videos corresponent corresponen als programes de notícies. Aquestes dades es publiquen amb motiu de FIAT-IFTA Media Studies Grant 2019. A més a més s'inclouen 3 fitxers. Aquests fitxes inclouen la mostra final, les cadenes de cerca a l'arxiu de Tv3 i els llibres recomanats que apareixen en els videos. La mostra final conté 339 videos i les cadenes són útils per fer cerques per any.

Datos recogidos en el marco del proyecto de la ERC "The sound of special places: exploring rock art soundscapes and the sacred" (acrónimo: Artsoundscapes) que tiene como Investigadora Principal la ICREA Research Professor Margarita Díaz-Andreu centrado en el campo de la arqueoacústica y el arte rupestre. En el artículo se analiza el potencial de los medios de comunicación social en general y de Facebook en particular para difundir y comunicar los conocimientos arqueológicos y las formas en que se puede mejorar su impacto en el público inspirándose en planes de comercialización desarrollados para el mundo de la empresa. Utilizando datos cuantitativos y cualitativos proporcionados por la herramienta de altmetría Facebook Insights, el artículo evalúa el impacto de la página Artsoundscapes y mide la eficacia del plan de comercialización, examinando los diferentes componentes de estos planes y haciendo hincapié en la estrategia de contenido que se ha seguido y que fue cuidadosamente diseñada al principio del proyecto y que ha conseguido que en tan sólo 19 meses de existencia haya desarrollado una activa comunidad en línea de 757 fans y 787 seguidores de 45 países.

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.

Viral titers were collected following a method based on the ISO 15216-1 (2017) protocol with some modifications, on experimentally inoculated ready-to-eat vegetables. See Materials and Methods section of the manuscript. Effect of the sanitizer wash on virus reduction was determined by calculating the log units (Nt/N0), where N0 is the titer of virus recovered on unwashed control samples and Nt is the titer of virus recovered on washed sample.

Species diversity descriptors (abundance, species richnnes, Shannon’s diversity index and Pielou’s evenness index) and functional diversity descriptors (functional richness, functional evenness, functional dispersion, Rao Quadratic enthropy and functional redundancy) for each sample inventoried from the DOK long-term experimental field trial used by Rotchés-Ribalta et al. (Applied Vegetation Science)

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.

The bone stable oxygen isotope values and the distance of the stranding site from the innermost point of the estuary for thirteen marine mammal species (Otaria flavescens, Arctocephalus australis, Pontoporia blainvillei, Ziphius cavirostris, Phocoena dioptrica, Phocoena spinipinnis, Delphinus delphis, Globicephala melas, Grampus griseus, Lagenodelphis hosei, Orcinus orca, Pseudorca crassidens and Tursiops truncatus) from the Río de la Plata estuary and the adjoining western South Atlantic Ocean. Stable oxygen isotope values (δ18O) are reported relative to the Vienna Standard Mean Oceanic Water (V-SMOW).

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).