BUSCADOR RECOLECTA

6 files, The dataset RAIA_Hydric_Balance_v01 contains annual and summer time series of hydric balance calculated from 13 meteorological stations located in the región of Galicia (NW Iberian Peninsula) and managed by Meteogalicia and AEMET, Funding for this dataset was provided by the Spanish Ministry of Science and Innovation through a Personal Técnico de Apoyo grant (PTA2019-017492-I) and the CAPTA project (CAPTA 0062_CAPTA_1_E, POCTEP 2021-2027), No

Fuentes de trabajo: https://data.marine.copernicus.eu/products; https://github.com/SugiharaLab/pyEDM; https://www.science.org/doi/10.1126/science.1227079; https://doi.org/10.1038/s41467-023-41619-6, Daily Surface seawater chlorophyll-a concentration data (1998–2023) were obtained from the multi-satellite Atlantic Ocean Colour product (Copernicus-GlobColour), with a spatial resolution of 1 km. Based on these data, annual main phytoplankton bloom was identified using an adaptive threshold method (see Racault et al., 2012; Ferreira et al., 2021), which involved the following criteria: (i) a 3-week centered running mean of L4 chlorophyll-a must exceed a threshold of 5% above the annual median chlorophyll-a concentration, (ii) for at least 15 consecutive days, and (iii) with data gaps of fewer than 3 days. The phenological metrics included in this dataset were used to characterize both the main bloom and phytoplankton seasonality (see details in Fernández-Barba et al., 2025). Furthermore, to explore causal relationships between phytoplankton phenology and physical variables indicative of climate variability (i.e., marine heatwaves and high-speed wind events), Empirical Dynamic Modeling (EDM)—a cutting-edge approach grounded in Takens’ theorem (Takens, 1981)—was applied. Specifically, the Convergent Cross Mapping (CCM) method, as defined by Sugihara et al. (2012), was employed. In addition, spatiotemporal coherence was assessed using Geographical CCM (GCCM), as developed by Gao et al. (2023)., This repository contains the complete dataset and computational workflows supporting the study on climate-driven shifts in phytoplankton bloom phenology across Spanish marine ecoregions. It includes derived phenological metrics (i.e., bloom maximum, amplitude, initiation, termination, peak timing, frequency, duration, cumulative chlorophyll-a, and seasonal cycle reproducibility) based on 26 years of Copernicus L4 chlorophyll-a multi-satellite observations at 1 km horizontal resolution. Additionally, it hosts the outputs of spatiotemporal causality analyses through (Geographical) Convergent Cross Mapping, which identify nonlinear interactions between phyotplankton bloom dynamics and climate extremes such as marine heatwaves and high-speed wind events. The repository provides fully reproducible code for data preprocessing, phenological indices extraction, causal inference modeling, and figure representation for both the main manuscript and supplementary materials. These resources enable deeper exploration of the mechanistic links between climate variability and ecosystem responses in coastal marine systems. This work facilitates future research on ecological forecasting under transient climatic perturbations and contributes to the understanding of regional-scale biophysical coupling in the ocean., This research was funded by the European Union –NextGeneration EU– as part of the MITECO program for the Spanish Recovery, Transformation and Resilience Plan (Recovery and Resilience Facility of the European Union established by the Regulation (EU) 2020/2094), and was entrusted to CSIC, AZTI, SOCIB, and the universities of Vigo and Cadiz., Peer reviewed

6 files, The dataset RAIA_Flow_Rates_v01 contains monthly, annual and summer time series and anual trends of flow rates from 12 hydrological stations retrieved from Meteogalicia (https://www.meteogalicia.gal/web/observacion/portada) and managed by Augas de Galicia (https://augasdegalicia.xunta.gal/), Confederación Hidrológica del Miño-Sil O.A. (https://www.chminosil.es/es/) and Sistema Nacional de Informação de Recursos Hidricos (https://snirh.apambiente.pt/), Funding for this dataset was provided by the Spanish Ministry of Science and Innovation through a Personal Técnico de Apoyo grant (PTA2019-017492-I) and the CAPTA project (CAPTA 0062_CAPTA_1_E, POCTEP 2021-2027), RAIA_FR_Stations.csv.-- RAIA_Monthly_FR.xlsx..- RAIA_Annual_FR.xlsx.-- RAIA_Trends_annual_FR_Stations.csv.-- RAIA_Year_cycle_FR.xlsx, Peer reviewed

8 files, Dataset of "The Unaccounted Oceanic Sink of Anthropogenic Nitrous Oxide and its Relationship with Anthropogenic Carbon Dioxide" Following files are provided: - column_inventory_cant_molm2_n2oant_mmolm2.csv: Stands for the integrated values of Cant and N2Oant for each method and for the full water column in the WOA 1deg x 1deg grid - 3D_global_inventory_cant_n2oant.nc: Stands for the concentration values of Cant and N2Oant for each method and for the full WOA 1deg x 1deg x 33 levels grid - TTD_ files: mat files for cant and n2oant for the Glodapv2 (2016) dataset, and for Atlantic, Pacific and Indian Ocean, Agencia Estatal de Investigación, BOCATS2, funded by MICIU/AEI/10.13039/501100011033, PID2019‐104279GB‐C21; Agencia Estatal de Investigación, PTA 2019 funded by MCIN/AEI/10.13039/501100011033 PTA2019-017983-I; European Commission, Euro GO-SHIP – Euro GO-SHIP: developing a Research Infrastructure concept to support European hydrography, Peer reviewed

5 files, Global change and urbanisation profoundly alter wildlife habitats, driving native animals into novel habitats while increasing the co-occurrence between native and invasive species. Host-microbiome associations are shaped by host traits and environmental features, but little is known about their plasticity in co-occurring native and invasive species across urban-rural gradients. Here, we explored gut microbiomes of four sympatric small mammal species along an urban-rural ecotone in Borneo, one of the planet's oldest rainforest regions experiencing recent urban expansion. Host species identity was the strongest determinant of microbiome composition, while land use and spatial proximity shaped microbiome similarity within and among the three rat species. The urban-dwelling rat Rattus rattus had a microbiome composition more similar to that of the native, urban-adapted rat Sundamys muelleri (R. rattus’ strongest environmental niche overlap), than to the closely related urban-dwelling R. norvegicus. The urban-dwelling shrew Suncus murinus presented the most distinct microbiome. The microbiome of R. norvegicus was the most sensitive to land use intensity, exhibiting significant alterations in composition and bacterial abundance across the ecotone. Our findings suggest that environmental niche overlap among native and invasive species promotes similar gut microbiomes. Even for omnivorous urban-dwellers with a worldwide distribution like R. norvegicus, gut microbiomes may change across fine-scale environmental gradients. Future research needs to confirm whether land use intensity can be a strong selective force on mammalian gut microbiomes, influencing the way in which native and invasive species are able to exploit novel environments, Peer reviewed

384-assay-mouse+comparison.zip 384-assay-sheep.zip ALIGNMENTS.zip common-genes.txt COUNTS.zip DE_ANALYSIS.zip FASTQ_RAW.zip Gene-count-express.xlsx Metrics.xlsx mouse-vs-sheep-EC50.sav mouse-vs-sheep-EC50.spv Organoids-growth.zip QC.zip QIAXCEL_RESULTS.zip SigDOWN.txt SigUP.txt venn-data.xlsx Z'-mouse.zip Z'-sheep.zip, Peer reviewed

El acceso completo al dataset estará disponible el 2025-09-06 en https://hdl.handle.net/11441/162315, [Background] Antibiotics could modify multidrug-resistant microorganisms (MDRO) populations in urban wastewater. Water treatment plays a major role in their control. This study aimed to explain the characteristics of multidrug-resistant Gram-negative bacteria in the wastewater of a city in southern Spain, the reduction achieved by treatment and the influence of human antibiotic prescriptions., [Methods] We collected 24-hour composite water samples from four wastewater treatment plants (WWTPs) over one year (2021-2022) and cultured them quantitatively. All acquired ESBL/carbapenemase isolates were sequenced and genomes were compared with those of clinical isolates. Linear mixed model regression analyses were performed to assess the WWTP effect and the association with human antibiotic prescriptions., [Findings] Aeromonas predominated among the MDROs and KPC-2 was the main carbapenemase detected in the influents. The 44% and 30% of E. coli and K. pneumoniae influent isolates, respectively, belonged to high-risk clones; 10·6% of Enterobacteriaceae could be matched to clinical isolates and a strain from a current hospital outbreak was found in raw samples. WWTPs reduced ESBL and carbapenemase producers by 1·4-log and 1·8-log, respectively. New MDROs and persistence of certain strains were detected in effluents. Quinolone and cephalosporin prescriptions, flow-rate and population density were associated with higher OXA-48 producer counts., [Interpretation] Despite the reduction, additional technologies should be implemented in WWTPs receiving hospital discharges. Due to the predominance of environmental species, culture and metagenomic approaches should be combined to differentiate human and sewages origin for antibiotic resistance monitoring. Antibiotic stewardship could be a strategy to reduce the release of MDROs., Junta de Andalucía. Consejería de Universidad, Investigación e Innovación Fundación Francisco Soria Melguizo, Peer reviewed

An active Nap complex cycles between “open” and “closed” states, with the binding site to sialic oligosaccharides becoming alternatively accessible and inaccessible for binding. As shown in this work, during the nap cycle, structural rearrangements are experienced mainly by the C-domain of P1 (brown), with hinge rotations of about 175°, while the ectodomains of P40/P90 (pink) remain mostly unchanged. The wide movement of the C-domain from P1 drags, by contiguity, transmembrane helices thus reaching the internal parts of the TO (represented here simply as a line of elastic (red) and rigid (blue) components with possible displacements shown as black arrows). Binding of antibody P1/MCA (green) to the C-domain of P1 halts the cycle, trapping the “closed” conformation of the Nap. The structures known prior to this work are indicated using soft colors., Peer reviewed

Lactobacillales, commonly known as lactic acid bacteria (LAB), is an order of Gram-positive, facultatively anaerobic or microaerophilic bacteria characterized by their ability to ferment carbohydrates and produce lactic acid as a major metabolic byproduct. Many species within this group have significant roles in food fermentation, human health, and industrial applications. Here, we report the complete genome sequence of Fructilactobacillus vespulae Mu01, the first sequenced genome of this species. The complete genome sequence of F. vespulae Mu01 is expected to provide valuable insights into the genetics and metabolism of this little-characterized species., This work was partially financed by the Ministerio de Ciencia, Innovación y Universidades, Agencia Estatal de Investigación, Spain, through project PID2020-119630RB-I00., With funding from the Spanish government through the ‘Severo Ochoa Centre of Excellence’ accreditation (CEX2021-001189-S), Peer reviewed

Ministerio de Ciencia e Innovación (MCIN): PID2022-136922NB-I00,PID2019-108595RB-I00,TED2021-131457B-I00 BES-2017-080210 PREP2022-000557 CEX2019-000902-S FJC2021-046667 MCIN/AEI/10.13039/501100011033; Ministerio de Ciencia, Innovación y Universidades (MCIU): FPU19/03778 EC | H2020 | PRIORITY 'Excellent science' | H2020 Marie Skłodowska-Curie Actions (MSCA): 945043 rePLANT-GA101081581 GA#101068121 GA#945043; Deutsche Forschungsgemeinschaft (DFG): CRC1101 D09 Reinhard-Frank Stiftung: helperless plant Centres de Recerca de Catalunya (CERCA): No grant number, Peer reviewed