Resultados de investigación

Businesses have traditionally been seen as reluctant participants in equality policy initiatives. However, emerging governance guidelines increasingly advocate for gender mainstreaming, encouraging active business engagement. Our research examines this potential transformation, focusing on the role of businesses adopting Corporate Social Responsibility (CSR) practices compared to traditional equality policy actors—governments, equality organisations, and academia—within the Colombian context. Using a collaborative governance framework and participatory decision-making techniques, we identify potential role shifts towards proactivity and specific contributions from each actor group. Our findings highlight discordant mutual expectations, or "role mismatches," and divergent perceptions within the business sector, which may undermine traditional actors. These insights emphasise the risks inherent in business participation in equality policy. By delineating contributions and clarifying self-perceptions and mutual expectations, we offer a practical approach to designing participatory processes that foster mutual recognition, trust, and shared responsibility as foundations for advancing equality policies. (2025-01-08), Peer reviewed

Database containing information on 40 freshwater fish species distribution across Spain at 1km grid cell resolution, Modelling the Distribution of Freshwater Fish Species to Update Natura 2000 Standard Data Forms in Spain , IX Iberian Ichthyology Congress (SIBIC 2022), june 2022, Peer reviewed

Data and R-scripts necessary to perform demographic and connectivity analysis. The files include raw output files for scenarios 1 and 2 from the spatially-explicit individual-based model of lynx, and datasets to perform linear model analysis., scen1_patches_All_Felids.txt; scen2_patches_All_Felids.txt; scen1_population_FelidsPerPatch_ESA.txt ; scen2_population_FelidsPerPatch_ESA.txt; conn_patch_area.csv; Lynx_reintrod_in_raster10km.csv; lm_imm_data; lynx_habitat_3035.tif; patches_3035.tif; Coords_reintrod_to_xyCell_10km2.R; analysis_demo.R; analysis_conn_Scen1.R ; analysis_conn_Scen2.R; analysis_lms.R, Peer reviewed

[EN] This repository centralizes the cartographic and ecologic information linked to the updated map of Doñana National Park (up to year 2025)., Through this project, I aim to make publicly available the cartographic information used to produce the map, periodically update the different layers that conform it, as well as to provide the socio-ecological context needed to understand the trends Doñana has been experiencing over recent decades, along with their causes and consequences., For more details: https://migdetor.github.io/topodonana.github.io/, [ES] Esta página reúne las capas de información geográfica y recursos asociados al mapa actualizado del Parque Nacional de Doñana (hasta el año 2025)., Mediante la creación de esta página se pretende poner a disposición pública la información cartográfica empleada para la creación del mismo, actualizar de forma periódica las distintas capas de información que lo componen, y proporcionar el contexto socio-ecológico que permita entender las tendencias que viene experimentando Doñana en las últimas décadas, así como sus causas y consecuencias., Para más información: https://migdetor.github.io/topodonana.github.io/, Peer reviewed

[Description of methods used for collection/generation of data] Synthetic data are generated from an analytical solution for ground displacement due to reservoir pressurization in a faulted half-space. The independent test dataset was derived from CODE_BRIGHT numerical simulations. Figure-source data were assembled from parameter-sweep test cases and DNN predictions., [Methods for processing the data] Preprocessing includes feature transformation, filtering, standardization using StandardScaler, Pearson correlation analysis, PCA, and assembly of curated figure-source spreadsheets., [Link to other publicly accessible locations of the data] https://github.com/Tiinnaa/DNN-ground-deformation, Data are released under the Creative Commons Attribution 4.0 International License (CC BY 4.0)., The authors acknowledge funding from the EU Horizon Europe Research and Innovation Program through the Doctoral Network of the Marie Sklodowska-Curie Actions SMILE (https://smile-msca-dn.eu/), under grant agreement 101073281. IMEDEA is an accredited Maria de Maeztu Excellence Unit (Grant CEX2021-001198, funded by MICIU/AEI/10.13039/501100011033)., With funding from the Spanish government through the "Maria de Maeztu Centre of Excellence" accreditation (CEX2021-001198)., File List: - data/test/final_combined_test_dataset.csv: Independent CODE_BRIGHT test dataset. - data/comparison_data/dp_dis_1_5_10.csv: Dataset used by legacy exploratory evaluation scripts. - results/figure_data/disxpred1111.xlsx: Curated figure-source data for Figure 9, horizontal displacement Ux. - results/figure_data/disypred1113.xlsx: Curated figure-source data for Figure 10, vertical displacement Uy. - results/training_logs/training_metrics_x.csv: DNN training metrics for Ux. - results/training_logs/training_metrics_y.csv: DNN training metrics for Uy. - results/training_logs/learning_curve_results_Ux.csv: Learning-curve data for the available Ux model run. - results/inference_speed/prediction_time_results.csv: Prediction time results. - results/inference_speed/final_speed_report.csv: Selected benchmark speed report. - results/summary_plot_Ux.png: Summary plot from the available Ux model run., No

The dataset presented here accompanies the systematic literature review titled "Data gaps and heterogeneity limit our understanding of human-wildlife interactions: a continental study of Andean bears", published in the journal People and Nature., The information provided includes the systematisation of the collected references and their reported interaction events., Peer reviewed

This dataset contains all the input files used for the article titled: "Genomic footprints of selfing, introduction history, and long-distance dispersal in an invasive alien plant"., Peer reviewed

This repository contains the data and the 13 R scripts for the analysis of wild mammal biomass loss and changes in community weighted means of body mass across tropical forests at 50x50km resolution. Important note: Due to data use agreements and copyright restrictions, only the input data required to run analyses from Script 07 onwards are provided in this repository., This repository was supported by the EVAHUNT project (ref. CNS2023-144631) funded by the MCIN/AEI/10.13039/501100011033 and the EU (“NextGenerationEU”/PRTR) and by the project DEFNETCARBON, funded by an EMERGIA grant (EMERGIA20_00252) from the Junta de Andalucía (Spain). I.F.A. was supported by a predoctoral grant (PREDOC_01122) from the Regional Government of Andalucía (Spain)., Peer reviewed

We explored pollinator dynamics and their floral visits to ornamental plants over 12 consecutive months in 15 parks in the Mediterranean city of Seville (Spain), Agencia Estatal de Investigación: PID2021-122690OB-I00, Peer reviewed

Pearson correlation coefficients and p-values for the PRS distributions for the Spanish population. P-values were adjusted for multiple testing using the Benjamini-Hochberg false discovery rate method., Peer reviewed