BUSCADOR RECOLECTA

Biomechanical data on the strength of Cerebral Bridging Veins (CBVs), a study funded by La Marató de TV3 (2020-2021). Data on maximum axial force on the tested specimens, strain rate of the test, and the relationship between the two are examined and the probability distributions for the sample are obtained. Data set used for the article "Injury metrics for assessing the risk of acute subdural hematoma in traumatic events" (2021), published in IJERPH ( ISSN: 1660-4601, Basel, Switzerland, MDPI), Project: ``Age Effects on Traumatic Brain Injuries'' funded by Fundació La Marató de TV3, Barcelona, No. Grant 289/C/2017, 201704.30.

This file includes data on system vertical and lateral stiffness of stainless steel frames under gravity and gravity plus wind load scenarios obtained from the finite element simulations carried out on six stainless steel frames.

Data was generated using the general purpose finite element software ABAQUS and performing advanced nonlinear analyses. The database is comprised of ultimate load factors corresponding to different random samples of six different nominal stainless steel frames under gravity and wind load combinations. The values of the random variable assignments are given for each case. The full details of the finite element model can be found in: Arrayago, I.; Rasmussen, K.J.R.; Zhang, H. System-based reliability analysis of stainless steel frames subjected to wind loads. "Structural Safety", July 2022, vol. 97, art. No. 102211. DOI: https://doi.org/10.1016/j.strusafe.2022.102211

Data associated with the study called "Selectively targeting tumorigenicity in osteosarcoma". Each file corresponds to the raw data of one of the figures of the paper

This file includes finite element simulation data (ultimate load factors) carried out on 60 steel and stainless steel frames, including regular and irregular frame configurations with different section sizes. Ultimate load factors corresponding to different initial imperfection combinations are included.

This dataset contains data from a population-representative survey examining various factors relating to digital exclusion (particularly digital mobility exclusion). The survey was conducted with 418 adult participants in Flanders region in Belgium in 2021. This dataset is part of a series of 5 datasets which used the same questionnaire (translated into different languages) in different countries in Europe.

This dataset contains data from a population-representative survey examining various factors relating to digital exclusion (particularly digital mobility exclusion). The survey was conducted with 601 adult participants in the Barcelona Metropolitan Area of Spain in 2020. This dataset is part of a series of 5 datasets which used the same questionnaire (translated into different languages) in different countries in Europe.

This dataset contains data from a population-representative survey examining various factors relating to digital exclusion (particularly digital mobility exclusion). The survey was conducted with 1002 adult participants in Italy in 2020. This dataset is part of a series of 5 datasets which used the same questionnaire (translated into different languages) in different countries in Europe.

This dataset contains data from a population-representative survey examining various factors relating to digital exclusion (particularly digital mobility exclusion). The survey was conducted with 1010 adult participants in Germany in 2020. This dataset is part of a series of 5 datasets which used the same questionnaire (translated into different languages) in different countries in Europe.

Datos primarios asociados al artículo enviado a Journal of Personality Assessment, Since the publication of the Alternative Model on Personality Disders in Section III DSM-5, literature has widely focused on providing validity evidence for the 25 facets defined in Criterion B. More recently, scientific attention has shifted towards Criterion A, with a considerable set of mixed results both supporting and disagreeing the operational definition of the model. The present study aims to provide additional evidence on the structural and relational differentiation of self and interpersonal dimensions of personality functioning using a quick screener, the Level of Personality Functioning Scale – Brief Form 2.0 (LPFS-BF 2.0), in a community and clinical mixed sample. 1074 participants (717 community adults and 357 patients) completed the LPFS-BF 2.0, the Personality Inventory for DSM-5 Short Form and the Questionnaire for the World Health Organization Disability Assessment. The internal structure of LPFS 2.0 was assessed through a series of Confirmatory Factor Analyses and bifactor modeling was applied to assess the dimensionality. Exploratory Structural Equation Modelling was used to explore the joint structure of functioning and maladaptive traits. Multiple linear regressions, controlling for age and sex, were employed to evaluate the predictive validity of LPFS scales in explaining functional impairment. Our results clearly support a two-factor structure of criterion A (self and interpersonal functioning) when measured with LPFS-BF 2.0. Results also displayed clear differences between the personality functioning factors, with the self-functioning factor more closely linked to facets of the negative affect domains and the interpersonal-functioning factor linked to several antagonistic personality traits. Moreover, our results suggested a relevant role of self-functioning in the explanation of the functional impairment along and beyond personality facets. These results lead to consider the LPFS-BF 2.0 a useful tool for clinical routine monitoring self and interpersonal personality functioning., This work was supported by the grant “Network-Psyco: Modelización a través de redes empíricas de las conexiones entre facetas y rasgos psicológicos”, project UHU-1257470 on Programa Operativo FEDER Andalucía 2014-2020, provided by Fondo Europeo de Desarrollo Regional (EU) and by Ministry of Universities of the Government of Spain (PRX21/00319).