Resultados de investigación

The main purpose of this macro-study is to shed light on the broad impact of books. For this purpose, the impact a very large collection of books (more than 200,000) has been analysed by using PlumX, an analytical tool providing a great number of different metrics provided by various tools. Furthermore, the study focuses on the evolution of the most significant measures and indicators over time. The results show usage counts in comparison to the other metrics are quantitatively predominant. Catalogue holdings and reviews represent a book’s most characteristic measures deriving from its increased level of impact in relation to prior results. Our results also corroborate the long half-life of books within the scope of all metrics, excluding views and social media. Despite of some disadvantages, PlumX has proved to be a very helpful and promising tool for assessing the broad impact of books, especially because of how easy it is to enter the ISBN directly as well as its algorithm to aggregate all the data generated by the different ISBN variations.

With the goal of observing the employment history of given individuals, a database was built from the longitudinal data files of the Survey on Living Conditions between 2007-2010 and 2008-2011. Only individuals with continuous presence in the data during the four years were included. Individuals under 16 and over 65 were excluded, as well as the population of the autonomous cities of Ceuta and Melilla. The longitudinal database includes 34,692 observations from 9,003 individuals in 17 regions during the financial crisis of 2007-2011 in Spain., This work was supported by the Health Department. Andalusian Board. 2013-2015 under Grant PI-0682-2012

Dataset from article "Contrasting effect of Saharan Dust and UVR on autotrophic picoplankton in Nearshore vs. Offshore waters of Mediterranean Sea ", Universidad de Granada. Departamento de Ecología. Grupo de Investigación: RNM367

Datos complementarios del artículo: “Acquisition of Uropygial Gland Microbiome by Hoopoe Nestlings” publicado en Microbial Ecology (ISSN:0095-3628). DOI: https://doi.org/10.1007/s00248-017-1125-5

This work is part of Ph.D. thesis by Maria Jose Jimenez-Quesada, and was supported by European Regional Development Fund (ERDF) co-funded projects BFU2011-22779, BFU2016-77243-P, RTC-2015-4181-2 and RTC-2016-4824-2 (Spanish MINECO), P2011-CVI-7487 (Junta de Andalucia) and 201540E065 (CSIC)., The data presented here are related to the research article entitled “Generation of nitric oxide by olive (Olea europaea L.) pollen during in vitro germination and assessment of the S-nitroso- and nitro-proteomes by computational predictive methods” doi:10.1016/j.niox.2017.06.005 (Jimenez-Quesada et al., 2017) [1]. Predicted cysteine S-nitrosylation and Tyr-nitration sites in proteins derived from a de novo assembled and annotated pollen transcriptome from olive tree (Olea europaea L.) were obtained after using well-established predictive tools in silico. Predictions were performed using both default and highly restrictive thresholds. Numerous gene products identified with these characteristics are listed here. An experimental validation of the data, consisting in nano-LC-MS (Liquid Chromatography-Mass Spectrometry) determination of olive pollen proteins after immunoprecipitation with antibodies to anti-S-nitrosoCys and anti-3-NT (NitroTyrosine) allowed identification of numerous proteins subjected to these two post-translational modifications, which are listed here together with information regarding their cross-presence among the predictions., European Union (EU), Spanish MINECO BFU2011-22779 BFU2016-77243-P RTC-2015-4181-2 RTC-2016-4824-2, Junta de Andalucia P2011-CVI-7487, Consejo Superior de Investigaciones Cientificas (CSIC) 201540E065

This paper was made possible by the funds of Polish National Science Centre (grant number N N106 012740). In Saudi Arabia, the research was funded by the Deanship of Scientific Research at King Saud University, INTRODUCTION Forms of committed relationships, including formal marriage arrangements between men and women, exist in almost every culture (Bell, 1997). Yet, similarly to many other psychological constructs (Henrich et al., 2010), marital satisfaction and its correlates have been investigated almost exclusively in Western countries (e.g., Bradbury et al., 2000). Meanwhile, marital relationships are heavily guided by culturally determined norms, customs, and expectations (for review see Berscheid, 1995; Fiske et al., 1998). While we acknowledge the differences existing both between- and within-cultures, we measured marital satisfaction and several factors that might potentially correlate with it based on self-report data from individuals across 33 countries. The purpose of this paper is to introduce the raw data available for anybody interested in further examining any relations between them and other country-level scores obtained elsewhere. Below, we review the central variables that are likely to be related to marital satisfaction., Polish National Science Centre grant number N N106 012740, Deanship of Scientific Research at King Saud University, The data discussed in this manuscript have been deposited in Figshare repository and is accessible through the following hyperlink: https://figshare.com/s/d2bd33a9605a3a204881 under the name: “Marital, Sex, Age, Marriage Duration, Religion, Number of Children, Economic Status, Education, and Collectivistic Values: Data from 33 Countries.” The deposit contains two files: (1) Marital satisfaction_Data, a xlsx file containing the raw data, and (2) Marital satisfaction_Questionnaire, a doc file containing the questionnaire, along with an exhaustive description of the column labels in the dataset.

This repository contains four Excel 2017 files named “APD.xlsx”, “QT.xlsx”, “Tx_APD.xlsx” and “Tx_QT.xlsx”. APD.xlsx and Tx_APD.xlsx files contain three sheets (called “Epi”, “Mid” and “Endo”), whereas the rest contain only one sheet (called “QT”). These files contain the results of simulations performed in the O’Hara-Rudy model (ORd) [1] of human ventricular cells (206.766 simulations) and tissue (7072 simulations), which consist of APD90 and QT intervals as well as a new index called Tx extracted from both APD and QT values. References: [1]. O’Hara, T.; Virág, L.; Varró, A.; Rudy, Y. Simulation of the Undiseased Human Cardiac Ventricular Action Potential: Model Formulation and Experimental Validation. PLoS Comput. Biol. 2011, 7 (5), e1002061. [2]. Romero L., Cano J., Gomis-Tena J., Trenor B., Sanz F., Pastor M., Saiz J. In silico QT and APD Prolongation Assay for Early Screening of Drug-Induced Proarrhythmic Risk. Journal of Chemical Information and Modeling. 2017 (Currently in revision).