Resultados de investigación

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

This dataset contains metagenome-assembled genomes (MAGs) reconstructed from four environmental metagenomes collected from the Southern California Bight. A co-assembly was generated using MEGAHIT, and genome binning was performed using a combination of MetaBAT2, CONCOCT, and SemiBin2, followed by refinement and dereplication with MetaWRAP and dRep, respectively. All MAGs were annotated using Prokka. Two filtering strategies were applied to select high- and medium-quality MAGs: Initial filter: Completeness ≥50%, contamination ≤10%, resulting in 174 MAGs. Stricter filter: Completeness ≥70%, contamination ≤5%, and N50 ≥10,000 bp, resulting in 74 high-quality MAGs. This archive includes the annotated Prokka output directories for all 174 MAGs, each labeled with the prefix SPOT_MAG_XXX.prokka These annotated MAGs can be used for downstream functional or phylogenetic analyses in marine microbiome research, This project was funded by the United States National Science Foundation grant (NSF, OCE1924464 to L.G.-C) and the United States-Israel Binational Science Foundation (BSF, No. 2019612 to LS, 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

This project was partially funded by the United States National Science Foundation grant (NSF, OCE1924464 and OCE-2220546), the Ministry of Economy and Competitiveness - Spanish Agencia Estatal de Investigación PID2023-152792NB-I00 and the United States-Israel Binational Science Foundation (BSF, No. 2019612), 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

Recording and quantifying ecological interactions is vital for understanding biodiversity, ecosystem stability, and resilience. Camera traps have become a key tool for documenting plant-animal interactions, especially when combined with computer vision (CV) technology to handle large datasets. However, creating comprehensive ecological interaction databases remains challenging due to labor-intensive processes and a lack of standardization. While CV aids in data processing, it has limitations, including information loss, which can impact subsequent analyses. This study presents a detailed methodology to streamline the creation of robust ecological interaction databases using CV-enhanced tools. It highlights potential pitfalls in applying CV models across different contexts, particularly for specific plant and animal species. The approach aligns with existing camera trap standards and incorporates complex network analysis tools. It also addresses a gap in ecological research by extending the methodology to behavioral studies using video-based image recognition, as most current studies rely on still images. The study evaluates CV’s performance in estimating species interaction frequency (PIE) and its ecological implications. Results show that up to 10% of pairwise interactions may be missed with CV, with information loss varying among focal species and individual plants. The loss of information is minimal compared to the vast data CV enables researchers to gather especially if data is intended to be used in community-level approaches where only three out of 344 unique pairwise interactions were missed. In community-level approaches the overall estimates of both PIEs and interaction strengths remained largely unaffected. The methodology provides a valuable resource for ecologists seeking to document ecological interactions efficiently. It offers guidelines for collecting reliable data while addressing CV’s limitations in capturing unbiased species interaction data. Despite its constraints, CV significantly enhances the ability to gather large-scale interaction data, particularly at the community level, making it an indispensable tool for ecological research., Peer reviewed

We also uploaded JPEG in high resolution of the interpreted seismic lines. The survey campaign that collected this dataset occurred between 26-12-00 21-06-01 by WesternGeco Services of Seismic Ltda. The signal was recorded on a 4050 m long, 324 channels Syntrac streamer. Industry by the same acquisition company processing 183 includes statistical deconvolution, radon filter multiple attenuation, pre stack time migration. The lines presented are distributed on the offshore Potiguar and Ceará Basins (Equatorial Atlantic), between Romanche and Chain Fracture Zones, covering continental shelf, slope and deep basin of the Equatorial Brazilian Margin. To request public dataset from offshore sedimentary basins in Brazil please consult helpdesk@anp.gov.br for offshore seismic campaigns. To visualize available data please check: https://geomaps.anp.gov.br/ If you reproduce one or more images please refer to this repository, to the original article and also to ANP, The data includes 7 images from 9 seismic lines available and public seismic images provided by the Brazilian National Agency of Petroleum (ANP) via Exploration and Production Data Bank for educational and research purposes only. All the seismic profiles are provided already processed (post-stack) and are used for interpretation. The repository contains seismic lines from Figures 2 and 4- 8 from the paper subbimited in Journal of Geophysical Research: Solid Earth. Seismic line 6473: Figure 2 Seismic line 6172: Figure 5 Seismic lines 6184, 6196, 6208, 6232: Figures 5a-5d 6136 (Figure 6) 6124 (Figure 7) 6100 (Figure 8), Brazilian National Agency of Petroleum, Natural Gas and Bioefuels (ANP) - public dataset., C.R.R. acknowledges the support of the “Severo Ochoa Center of Excellence” accreditation (CEX2019-000928-S) and the ATLANTIS project (PID2019-109559RB-I00) from the Spanish Ministry of Science, Innovation and Universities, Peer reviewed

This dataset originates from an experimental study on gonad development in sea bass males at different early maturation stages. Gonads from four individuals (G1-G4) were collected, snap-frozen, and processed for spatial transcriptomics using Visium technology (10X Genomics). Tissue sections were embedded in OCT, cryosectioned, and mounted onto spatial gene expression slides. Transcriptomic analysis involved fixation, staining, cDNA synthesis, and PCR amplification, followed by sequencing on a NovaSeq PE150 platform, yielding 5 Gbp of raw data. This dataset provides high-resolution spatial gene expression data for studying gonadal development and early puberty in sea bass, The research leading to these results has received funding from the Spanish Ministry of Science and Innovation MCIN/AEI/10.13039/501100011033, Grants RYC2019-026426-I, PID2021-122929OB-C31, PID2021-122929OB-C33 and CEX2018-000794-S. AMP also acknowledges a grant PRE2020-094656 funded by MCIN/AEI/10.13039/501100011033 by ESF Investing in your future, With the institutional support of the ‘Severo Ochoa Centre of Excellence’ accreditation (CEX2019-000928-S)., Peer reviewed

Seagrass meadows are a significant global carbon sink. Most of the carbon sequestered in these ecosystems is found as sedimentary organic carbon, which can vary spatially across seagrass meadows and can be derived from a variety of sources. Here, we investigate intra- and inter-meadow spatial variability in sediment organic carbon storage and quantify potential organic matter sources in three Zostera marina seagrass meadows spanning three estuaries across California (USA). Seagrass sediment organic carbon storage varies as much intra-meadow as it varies across regions. At the intra-meadow scale, we find significant correlations between organic carbon content and mud content (fraction of sediment grains <63 μm, %), C/N ratios, and δ13C values in surface sediments across two meadows. At the regional scale greater organic carbon storage in the presence of seagrass compared to adjacent unvegetated sediments. Additionally, we find that mud content is the best predictor of sediment organic carbon content at the regional scale, indicating an enhanced role for mineral interaction in organic carbon preservation, but not consistently at the localized meadow scale. Approximately one-fourth of the organic carbon preserved in seagrass sediments is derived from seagrass. This research provides insights into the variability of organic carbon storage in seagrass meadows in California at multiple spatial scales. We demonstrate the need to account for small-scale variation of organic carbon storage in seagrass meadows to better estimate the capacity for these ecosystems to serve as effective long-term carbon sinks, Financial support for this work was provided by California Sea Grant to Hill (Award R/HCME-03), 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

This repository contains the datasets that underpin the analyses and figures in the ISME Journal article 'Plastic leachates promote protozoan growth' by Jessy Le Du-Carree, Cristina Romera-Castillo, and Rodrigo Almeda, published 2025 (DOI: [DOI or accession link]). The files are: Bacteria_concentrations.xlsx — Bacterial abundance/concentration measurements. CDOM_FDOM.xlsx — Chromophoric and fluorescent dissolved organic matter (CDOM/FDOM), and dissolved organic carbon (DOC) data. Cell_concentration-size_oxyrrhis.xlsx — Oxyrrhis marina cell concentrations and size metrics. EEMs.xlsx — Excitation–Emission Matrix (EEM) fluorescence data. These datasets are shared to ensure transparency and reproducibility and constitute the complete data used in the published manuscript. Please cite the ISME Journal article above when reusing any portion of these data, This study was funded by the Spanish Ministry of Science and Innovation and the National Agency of Research through the MICROPLEACH project (Agencia Estatal de Investigación, PID2020-120479 GA-I00/AEI/10.13039/501100011033) to RA. It was also supported by a “Juan de la Cierva” grant from the Spanish Ministry of Science and Innovation to JLD and a “Ramón y Cajal” grant from the Spanish Ministry of Science (RYC2018-025770-I) to RA. CRC was also supported by a “Ramón y Cajal” grant from the Spanish Ministry of Science (RYC2020-029555-I) and acknowledges the “Severo Ochoa Centre of Excellence” accreditation (CEX2019-000928-S). We sincerely thank Torkel Nielsen (DTU Aqua, Denmark) for providing the Rhodomonas and Oxyrrhis cultures, and Alex Campillo (CSIC, Barcelona, Spain) for his valuable assistance with the bacterial analysis, Peer reviewed

All data sets generated can be found in the Supplementary Material, including the list of primers used for sequencing and the phylogenetic sequence list data sets with corresponding accession numbers, This work was supported by fundings from Spanish MICINN Project DIVINE [PID2023-150672NB-I00]; and Project SMART [PID2020-112978GB-I00], with the institutional support of the ‘Severo Ochoa Centre of Excellence’ accreditation [CEX2019– 000928- S]. The Japan Science and Technology Agency [JPMJCR24J2]; Japan Society for the Promotion of Science [JSPS KAKENHI 19H05667]; and Japan Society for the Promotion of Science [JSPS KAKENHI 24K18177], Peer reviewed

This work integrates the inspection of high-resolution seismic reflection data to investigate the stratigraphy of the Blanes canyon head. The analysis focuses on the identification of major bounding surfaces, seismic units, and seismic facies to provide new insights into the processes that have controlled its evolution during the Late Quaternary. Specifically, we aim to: i) establish a chronostratigraphic framework based on the correlation of local erosional unconformities with regional surfaces linked to major sea-level fluctuations occurring since the Messinian Salinity Crisis; ii) characterize depositional stacking patterns within the Blanes canyon head sediment infill in order to constrain relative sea-level variability, sediment-routing pathways and the morpho-stratigraphic evolution of the canyon head; iii) determine the influence of the inherited paleorelief and local sedimentary sources on canyon stratigraphic patterns, which exhibit a significant asymmetry between opposing canyon rims; iv) explain the evolution (incision vs infilling) of tributary paleochannels; and v) understand the possible influence of fluvial sediment supply from the nearby Tordera River in the canyon head evolution throughout successive glacio-eustatic cycles., Conclusions: The head of the Blanes Canyon formed on a narrow shelf underlain by a Miocene horst-and-graben basement. The late Quaternary stratigraphic evolution was controlled by tectonic inheritance, glacio-eustatic oscillations (~100 kyr), and laterally variable sediment supply. Four major unconformities (MISs 10, 8, 6, and 2) were identified, recording repeated episodes of erosion and infill. The western rim is depositional and partially fed by the Tordera River, whereas the eastern rim is erosional and sediment-starved. There is no direct fluvial connection with the Tordera River; it mainly contributed to the infill of topographic depressions during sea-level lowstands. Buried tributary paleochannels, aligned with structural lows show incision during lowstands, progradational infill, and subsequent abandonment during the last transgression, indicating that tectonics and marine forcing dominate canyon evolution over fluvial input, - Proyecto ABRIC (RTI2018-096434-B-100) - Proyecto ARCO (TED2021-129426B-I00) - Subvención 2021 SGR 433 de la Generalitat de Catalunya - Beca FPI española (PRE2019-091200) - Acreditación del Centro de Excelencia Severo Ochoa (subvención CEX2024-001494-S financiada por la Agencia Española de Investigación, subvención AEI 10.13039/501100011033)., Peer reviewed