Resultados de investigación

This figure illustrates the annual number of scientific publications using zebrafish (Danio rerio) as a model organism from 1948 to the present. The data visualize the dramatic growth in zebrafish research, highlighting its rise as a pivotal model in biomedical science and providing context for its expanding use across various disciplines., Peer reviewed

TA-G acknowledges a Severo Ochoa FPI predoctoral grant (PRE2020-096185) of the Spanish government through the “Severo Ochoa Centre of Excellence” Institute of Marine Sciences (ICM-CSIC) of Barcelona and a contract through the additional resources of a Ramón y Cajal grant (RYC2022-036268-I) awarded to BF. TA-G and BF acknowledge the institutional support of the ‘Severo Ochoa Centre of Excellence’ accreditation (CEX2024-001494-S) funded by AEI 10.13039/501100011033. BF acknowledges a Ramón y Cajal grant (RYC2022-036268-I) funded by MICIU/AEI/10.13039/501100011033 and FSE+ and from the MedCalRes project Grant PID2021-125323OAI00 funded by MCIN/AEI/10.13039/501100011033 and by ‘ERDF A way of making Europe’. PB-C acknowledges a Humboldt Postdoctoral Fellowship. This study was funded by the projects CHALLENGE (PID2019-107979RB-100 funded by MICIU/AEI/10.13039/501100011033) and CHALLENGE-2 (PID2022-141628NB-I00 funded by MICIU/AEI/10.13039/501100011033 and ERDF, EU) led by CA. BF is part of the Marine Conservation research group funded by Generalitat de Catalunya (2021 SGR 01073) and the Scientific Network PolarCSIC. CA is part of the Marine Biodiversity and Evolution research group funded by Generalitat de Catalunya (2021 SGR 01271), Peer reviewed

Dataset and final code to produce the outputs presented in the published version of the study., Peer reviewed

This dataset contains soil organic carbon (SOC) and nitrogen (N) stocks, greenhouse gas (GHG) fluxes (N₂O and CH₄), and enzymatic activities related to carbon and nitrogen cycling. The data were collected across different land uses (forest, cereal and vineyard) in a Mediterranean ecosystem (Bosque de Matasnos, Spain), considering two soil depths (0–20 cm and 20–40 cm), The dataset was generated to assess the effects of land-use change on soil carbon storage, greenhouse gas emissions, and soil biochemical functioning, This work has been co-financed by the LIFE Programme of the European Union (Ref: LIFE22-CCM-ES-CLIMAWIN/101113948), Peer reviewed

List of statistical models and figures with their notation in SAS and R for “Phenology Modulates the Top-Down Control of Ants on Bird Ectoparasites: From Mutualism to Antagonism”. The models are organized following the order of the subsections in the Results and were run using the three data sets (chick_data.csv, stress_index.csv and SEM_data.csv) available in Zenodo at https://doi.org/10.5281/zenodo.15721917, Peer reviewed

Biochar is a recognized tool for soil carbon (C) sequestration and climate change mitigation. However, the effectiveness of chemical modifications, such as alkali and alkaline earth metal enrichment, in enhancing C stability and reducing N2O emissions under field conditions has yet to be established. The objective of this study was to assess whether the modification of biochars can enhance their C sequestration potential while mitigating N₂O emissions under field conditions, thereby supporting more sustainable agricultural soil management, This research was supported by the project PID2021-128896OB-I00 funded by MCIN/AEI/10.13039/501100011033/ and ERDF A way of making Europe. Yaiza Blázquez-Nieto was supported by the grant PRE2022-105698 funded by MCIN/AEI/10.13039/501100011033/, Peer reviewed

The PDF file includes: Supplementary Materials and Methods; Figures S1 to S6, Supplementary References. Other supporting materials for this manuscript include the following: Supplementary Data S1 to S11 are spreadsheet files; Supplementary Data S1: Figure 1 source data; Supplementary Data S2: Figure 2 source data; Supplementary Data S3: Figure 3 source data; Supplementary Data S4: Figure 4 source data; Supplementary Data S5: Figure 5 source data; Supplementary Data S6: Figure 6 source data; Supplementary Data S7: Figure 7 source data; Supplementary Data S8: Figure 8 source data; Supplementary Data S9: Supplementary Figures source data; Supplementary Data S10: Primer list; Supplementary Data S11: Strain list, Some strains were provided by the CGC, which is funded by NIH Office of Research Infrastructure Programs (P40 OD010440). This work was supported by European Research Council (COG-101002203), Ministerio de Ciencia, Innovación y Universidades (PID2020-115635RB-I00) and Generalitat Valenciana (CIAICO/2022/195)., Peer reviewed

This repository provides the data and code used in the article “Forecasting size-at-maturity shifts under global warming: a case study on European hake, a widely distributed species.” This is version 2 (post-acceptance, de-anonymized). The record now includes full author information, author contributions (CRediT), funding details, and the article reference in the metadata. Includes lagged temperatures in GAM analyses and weighted means when multiple maturity-size values occur in the same area-year. Changelog (v2) Incorporated lagged temperatures to be considered in GAM analyses. Implemented the calculation of weighted means for cases with multiple maturity size values in the same area and year. Reproducibility & updates Please see the README for instructions to reproduce the analyses. For ongoing updates and issue tracking, refer to the GitHub repository simhake. License & reuse See the LICENSE file. If you use these materials, please cite this dataset (this version) and the article. Related identifiers (to add in Zenodo metadata) Is supplemented by / is derived from: GitHub repository simhake. Is supplementary to: the article in Reviews in Fish Biology and Fisheries (DOI pending / in press; update once available), Ministerio de Ciencia, Innovación y Universidades: Improving Scientific Advice to Fishery Management for Resources of Interest for Spain in Atlantic Waters (IMPRESS) project RTI2018-099868-BI00 Ministerio de Ciencia, Innovación y Universidades: From Single Stock Assessment to Ecosystem-Based Fishery Management (FRESCO) project PID2022-140290OB-I00 Axencia Galega de Innovacion: Competitive Reference Group - Modelling and Evaluation of Exploited Resources (CRG-MERVEX) project IN607A 2022/04 Ministerio de Agricultura, Pesca y Alimentación: FishClim: Scientific Knowledge for the Adaptation of the Spanish Fishing Sector to Climate Change project Axis 4 Ministerio de Agricultura, Pesca y Alimentación: Math4Fish: New Tools for Mathematical Modelling in Spanish Fisheries Science Advice project Axis 6, This work contributes to the Institut de Ciències del Mar "Severo Ochoa Centre of Excellence" accreditation CEX2024-001494-S funded by AEI 10.13039/501100011033 of the Spanish Ministry of Science and Innovation, Peer reviewed

[Data Availability Statement] Data are available in the Environmental Data Initiative repository at https://doi.org/10.6073/pasta/d63489af723aec3b4a608c54ba7d636d. The code that supports the analyses in this study is uploaded to Zenodo and is available at https://doi.org/10.5281/zenodo.18276533. Measurements: Organismal elemental content (carbon, nitrogen, phosphorus) and ecosystem attributes. Temporal range: Varies by location, 1922–2024. Frequency or sampling interval: Varies by location. Spatial scale: Global., All organisms contain carbon, nitrogen, and phosphorus in widely ranging amounts and proportions. Integrating existing datasets enables quantification of this variation at global scales. Such efforts could leverage ecological stoichiometry theory, the study of elemental supply and imbalances in ecological interactions, to connect ecological drivers and taxonomic constraints to ecosystem structure and function. Towards this goal, we developed the Limnology Stoichiometric Traits of Organisms In their Chemical Habitats (Limno-STOICH) database. The Limno-STOICH database includes 51,576 observations of organismal elemental stoichiometry from >3100 rivers, lakes, wetlands, and other aquatic ecosystem sites on seven continents, derived from 190+ sources. It also includes extensive spatial and temporal metadata to link elemental stoichiometry with ecosystem type, trophic status, etc., and information on organismal data (body size, taxonomic classifications, stable isotope composition) and water physicochemical parameters. The Limno-STOICH database sets the stage for significant applications across food web ecology, evolutionary ecology, biogeochemistry, and other disciplines., Office of Experimental Program to Stimulate Competitive Research. Grant Number: OIA-2019596, Peer reviewed

R.N.F. was supported by the University of Bergen (Norway). This work was also sup-ported by the Spanish Ministry of Science, Innovation and Universities (MICIU/AEI/10.13039/501100011033), Grant no. PID2022-138066OB-I00 (to J.C.), and the Agency for Management of University and Research Grants (Government of Catalonia), Grant no. 2021 SGR 00068 (to J.C.). The authors also acknowledge the ‘Severo Ochoa Centre of Excellence’ accreditation (CEX2019-000928-S) funded by the Spanish Agencia Estatal de Investigación (AEI) 10.13039/501100011033, Peer reviewed