Resultados de investigación

El presente proyecto pretende estudiar los mecanismos de fijación y movilidad de los contaminantes metálicos y el carbono metanogénico en humedales salinos sensibles ambientalmente a través de la formación y agregación de nanofases minerales. Se plantea como hipótesis de partida del proyecto que la permanencia en la columna de agua o la acumulación de las sustancias potencialmente tóxicas en diferentes compartimentos de los humedales dependerá de su afinidad por algunos ligandos y las condiciones ambientales (pH, gradientes redox, salinidad, contenido en materia orgánica, actividad de microrganismos). Con el fin de dilucidar la validez de dicha hipótesis, se examinarán sedimentos de humedales salinos ricos en materia orgánica de dos regiones sometidas a intensas actividades contaminantes: el olivar mediterráneo andaluz y una cuenca fluvial de un país Data Management Plan | Nanofases minerales secuestran contaminantes humedales salinos emergente con escasa regulación en el uso de productos fitosanitarios agrícolas y afectada por la contaminación de una fundición, el río Chicamocha en Colombia. Así mismo, se realizará una evaluación experimental del comportamiento de los elementos en mesocosmos que reproduzcan los compartimentos ambientales de los humedales salinos (columna de agua, sedimentos sumergidos con interfase aguas-edimento, suelos y sedimentos emergidos y periódicamente sumergidos). Se llevará a cabo un enfoque novedoso centrado en el análisis de la estabilidad de las fases a nivel de nanoescala que integre la caracterización mineral mediante técnicas de alta resolución (FIB, HRTEM) y la determinación precisa de las propiedades físico-químicas y ambientales de las aguas y sedimentos (pH, condiciones redox, materia orgánica, actividad de microorganismos, …)

This project was designed as a Multi-Sample Daily Diary Study primarily framed within the Job Demands-Resources (JD-R) model. The core objective was to analyze the complex relationships between job demands (e.g., emotional demands, workload), resources (e.g., leadership support, autonomy), and worker well-being/health (vigor, engagement, burnout, physical activity) at both the daily (within-person) and general (between-person) levels across diverse professional sectors, including education, healthcare, and services. The multi-level nature of the data collection allows for a fine-grained understanding of dynamic processes in the workplace., Data Management Plan and Datasets of the "Leadership and vigor at work: Benefits in physical and psychological health from a multi-method approach" Project, MCIN/AEI/10.13039/501100011033 (Spanish Ministry of Science and Innovation / AEI)

We have developed a retrospective database of the solar PV plants and wind energy farms in Spain called SOWISP (SOlar and Wind Installed Spanish Power). SOWISP provides the installed wind and solar PV installed capacity in each municipality in Spain, with a monthly temporal resolution, from 2015 to 2020. SOWISP has been developed and validated based on a careful and exhaustive compilation of different public databases. Among other data, SOWISP offers the installed power and location of 59.386 solar PV plants and 1.205 wind farms in Spain (further details are provided in https://doi.org/10.1016/j.solener.2023.03.009). In order to manage the new database, a Python library, named as SOWISP_lib, was developed. This library is composed of three functions, which allow: (1) reading the SOWISP database, (2) extracting information at different spatial aggregations (towns, NUTS 2 and NUTS 3), and (3) selecting information for specific time periods or specific dates. Python script (SOWISP_lib) to use it, is here attached and are publicly available at: https://github.com/matrasujaen/SOWISP When quoting this dataset, please refer to following publication: Jiménez-Garrote A, G Sánchez-Hernández, M López-Cuesta and David Pozo-Vázquez, 2023. SOWISP - A retrospective high spatial and temporal resolution database of the installed wind and solar PV power in Spain, Solar Energy, 256, 44-54, https://doi.org/10.1016/j.solener.2023.03.009., We have developed a retrospective database of the solar PV plants and wind energy farms in Spain called SOWISP (SOlar and Wind Installed Spanish Power). SOWISP provides the installed wind and solar PV installed capacity in each municipality in Spain, with a monthly temporal resolution, from 2015 to 2020. SOWISP has been developed and validated based on a careful and exhaustive compilation of different public databases. Among other data, SOWISP offers the installed power and location of 59.386 solar PV plants and 1.205 wind farms in Spain (further details are provided in https://doi.org/10.1016/j.solener.2023.03.009). In order to manage the new database, a Python library, named as SOWISP_lib, was developed. This library is composed of three functions, which allow: (1) reading the SOWISP database, (2) extracting information at different spatial aggregations (towns, NUTS 2 and NUTS 3), and (3) selecting information for specific time periods or specific dates. Python script (SOWISP_lib) to use it, are publicly available at: https://github.com/matrasujaen/SOWISP When quoting this dataset, please refer to following publication: Jiménez-Garrote A, G Sánchez-Hernández, M López-Cuesta and David Pozo-Vázquez, 2023. SOWISP - A retrospective high spatial and temporal resolution database of the installed wind and solar PV power in Spain, Solar Energy, 256, 44-54, https://doi.org/10.1016/j.solener.2023.03.009., This work has been made possible by the project funded by Agencia Estatal de Investigación, Spain (PID2019-107455RB-C21/AEI/ 92 10.13039/501100011033 and PID2019-107455RB-C22/AEI/10.13039/ 501100011033). Authors are supported also by the Junta de Andalucía (Research group TEP-220), FEDER funds and UE-Junta de Andalucía co-funded postdoctoral fellowship PAIDI2020-DOC_01110.

The job demands-resources theory considers an open group of personal and job demands and resources. Thus, it allows us to include personal resources not yet covered (i.e., vigor at work) or less explored (i.e., emotional abilities), as well as personal demands not yet explored (i.e., overcommitment). Additionally, from this theory, it is proposed that leaders may influence employee wellbeing. Therefore, of particular interest is to analyze positive leadership styles, such as authentic leadership (AL). This study addresses three research objectives: 1) to identify profiles of employees from a person-centered approach, combining personal resources (self-perception of emotional abilities, vigor at work and self-efficacy) and personal demands (overcommitment) with job resources and demands; 2) to analyze the relation of the identified profiles with indicators of work-related subjective well-being; and 3) to acknowledge whether the AL style determines the pertaining to a profile probability. A large heterogeneous sample of Spanish employees (N = 968) responded to a questionnaire. Data were analyzed by adopting a person-centered approach using latent profile analysis. The results revealed five patterns of job and individual characteristics: Profile 5 (very low personal resources, and low job resources and demands); Profile 4 (low resources and high demands); Profile 3 (mid-level personal resources, high job resources and low demands); Profile 2 (high personal resources, mid-level job resources and high demands); and Profile 1 (high resources and low demands). Analyses showed that workers differed significantly in well-being depending on their profile membership, with Profile 1 having the highest well-being. Profiles that yielded the worst outcomes were Profile 4 and Profile 5, especially the latter. Finally, the results indicated that AL increased the probability that a profile would show a high well-being level., This research was supported by the Spanish Ministry of Science and Innovation MCIN/ AEI /https:// doi.org/ 10. 13039/ 50110 00110 33; project number PID2020-116521RB-I00 and by a predoctoral fellowship (FPU18/00302).

Base de datos ( PRY084_19_140622_V0) en formato .sav (SPSS IBM Statistics v.26). Estos datos han sido obtenidos en el marco del proyecto “Acoso LGBTQ+fóbico en adolescentes andaluces: una realidad invisibilizada” (PRY084/19) financiado por la Fundación Pública Andaluza Centro de Estudios Andaluces., Fundación Pública Andaluza Centro de Estudios Andaluces.

Este plan describe la gestión de los datos que se crearán en el proyecto EPPIA , su tratamiento conservación. Los datos del proyecto serán FAIR (Findable, Accessible, Interoperable and Reusa-ble). La protección de los datos se garantizará de acuerdo con las normas institucionales.

The files within the .rar file describe the knowledge base for study crafting (12 documents) and for self-regulated learning (850 documents), according to the systematic reviews conducted on the Web of Science on June 13th of 2025. The .rar file contains two files prepared for the program SciMAT.

In the absence of a Spanish version of the Leadership Virtues Questionnaire, this study aims to propose a short form of the scale by conducting a cultural adaptation and analyzing its factor structure. In Study 1, the procedure following ITC guidelines and qualitative analysis is performed, leading to the reformulation of several items. In Study 2, 550 workers (Samples 1 and 2) responded to this Spanish version, and the fit of the measurement models proposed for the original proposal of the instrument was tested. Since no model fit adequately, in Study 3 an EFA was carried out with Sample 1, and two items per factor were extracted. In Study 4, the fit of the measurement models to the data was tested through CFAs with Sample 2, resulting in an optimal second-order factor model. In addition, other evidence related to the construct validity of the instrument was proven., This research was supported by the Spanish Ministry of Science and Innovation through the project PID2020-116521RB-I00, funded by MCIN/AEI/10.13039/501100011033, and by a predoctoral fellowship (FPU18/00302).