Resultados de investigación

This supplementary material is provided as an Excel file and includes EMP major and minor element chemical analyses of volcanic glass (SM8.1), palagonite (SM8.2), clay minerals (SM8.3), and zeolites (SM8.4) in a selection of the studied samples, his research is partially funded by the following grants: VOLCLIMA (CGL2015-72629-EXP), POSVOLDEC (CTM2016-79617-P)(AEI/FEDER, UE), VOLGASDEC (PGC2018-095693-B-I00)(AEI/FEDER, UE) grants funded by MINECO. Grant HYDROCAL (PID2020-114876GB-I00) funded by MICIU/AEI/10.13039/501100011033. EruptING (PID2021-127189OB-I00) funded by MICIU/AEI/10.13039/501100011033, 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 supplementary material is provided as an Excel file and includes whole-rock major and trace element analyses of representative pre- and syn-caldera samples studied in this paper, This research is partially funded by the following grants: VOLCLIMA (CGL2015-72629-EXP), POSVOLDEC (CTM2016-79617-P)(AEI/FEDER, UE), VOLGASDEC (PGC2018-095693-B-I00)(AEI/FEDER, UE) grants funded by MINECO. Grant HYDROCAL (PID2020-114876GB-I00) funded by MICIU/AEI/10.13039/501100011033. EruptING (PID2021-127189OB-I00) funded by MICIU/AEI/10.13039/501100011033, 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 supplementary material is provided as an interactive HTML file and includes whole-rock and volcanic glass chemistry of the studied samples (TAS and Harker diagrams), This research is partially funded by the following grants: VOLCLIMA (CGL2015-72629-EXP), POSVOLDEC (CTM2016-79617-P)(AEI/FEDER, UE), VOLGASDEC (PGC2018-095693-B-I00)(AEI/FEDER, UE) grants funded by MINECO. Grant HYDROCAL (PID2020-114876GB-I00) funded by MICIU/AEI/10.13039/501100011033. EruptING (PID2021-127189OB-I00) funded by MICIU/AEI/10.13039/501100011033, 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 supplementary material is provided as an interactive HTML file and includes palagonite major element chemistry and derived analyses of the studied samples, This research is partially funded by the following grants: VOLCLIMA (CGL2015-72629-EXP), POSVOLDEC (CTM2016-79617-P)(AEI/FEDER, UE), VOLGASDEC (PGC2018-095693-B-I00)(AEI/FEDER, UE) grants funded by MINECO. Grant HYDROCAL (PID2020-114876GB-I00) funded by MICIU/AEI/10.13039/501100011033. EruptING (PID2021-127189OB-I00) funded by MICIU/AEI/10.13039/501100011033, 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 supplementary material is provided as a PDF file and includes qualitative comparison between BSE intensity and density of palagonite, This research is partially funded by the following grants: VOLCLIMA (CGL2015-72629-EXP), POSVOLDEC (CTM2016-79617-P)(AEI/FEDER, UE), VOLGASDEC (PGC2018-095693-B-I00)(AEI/FEDER, UE) grants funded by MINECO. Grant HYDROCAL (PID2020-114876GB-I00) funded by MICIU/AEI/10.13039/501100011033. EruptING (PID2021-127189OB-I00) funded by MICIU/AEI/10.13039/501100011033, 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 supplementary material is provided as both a PDF file and an interactive HTML file and includes biotic micro-textures and compositional mappings of the studied sample, This research is partially funded by the following grants: VOLCLIMA (CGL2015-72629-EXP), POSVOLDEC (CTM2016-79617-P)(AEI/FEDER, UE), VOLGASDEC (PGC2018-095693-B-I00)(AEI/FEDER, UE) grants funded by MINECO. Grant HYDROCAL (PID2020-114876GB-I00) funded by MICIU/AEI/10.13039/501100011033. EruptING (PID2021-127189OB-I00) funded by MICIU/AEI/10.13039/501100011033, 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

Coastal marine environments — including lagoons, fjords, and estuaries — are characterized by pronounced environmental variability, with fluctuations in salinity, temperature, and nutrient levels shaping microbial community structure and function. To explore these dynamic systems, we sampled 26 sites between December 2021 and January 2023 along the coasts of France and Chile, spanning lagoons, estuaries, fjords, harbours, and both coastal and offshore marine environments. Surface waters were collected using either Niskin bottles or polycarbonate carboys, with additional deeper layers obtained at three sites. Monthly sampling at six French sites enables the assessment of seasonal dynamics. The presented dataset captures multiple environmental gradients, ranging from terrestrial–marine transitions and salinity fluctuations to eutrophication level, seasonal, geographic and disturbance-related variation. A total of 116 samples were analysed for 13 environmental parameters alongside metabarcoding and metagenomic sequencing. Temperature and salinity were recorded in the field immediately after sampling. Chlorophyll a was quantified fluorometrically following acetone extraction (Holm-Hansen et al. 1965; Lorenzen 1967). Dissolved organic carbon (DOC) was measured using high-temperature catalytic oxidation (Benner and Strom 1993) with a TOC analyser. Fluorescent dissolved organic matter (fDOM) peaks T and C (as proxy for protein like and humic like DOM, respectively) were quantified with a Jasco FP-8500 spectrofluorometer (Coble 1996). Leucine incorporation rates were determined via the centrifugation method (Smith and Azam 1992), and respiration rates were estimated via oxygen consumption in 5 ml glass vials using PreSens OxoDishes and a SensorDish® Reader. Inorganic nutrients were analyzed using a QuAAtro39 or AA3HR autoanalyzer (Grasshoff et al. 2009; Aminot and Kérouel 2007), Centre National de la Recherche Scientifique (CNRS), grant/award no. IRP MAST CNRS INSU INSB INEE: CNRS Laboratoire international associé program Deutsche Forschungsgemeinschaft, Bonn (DFG), grant/award no. BE5937/2-3: GESIFUS2 - The genetic structure of microbial communities as a signature of their functional stability École Normale Supérieure de Paris (ENS-PSL), grant/award no. Scholarship European Commission (EC), grant/award no. EMJM scholarship: Erasmus Mundus Joint Masters European Commission (EC), grant/award no. Grant: Erasmus+ Institut de l’Océan de l'Alliance Sorbonne Université, grant/award no. Scholarship National Agency for Research and Development (ANID), grant/award no. 1211977: National Fund for Scientific and Technological Development (FONDECYT) National Agency for Research and Development (ANID), grant/award no. FB210021: COPAS Coastal, 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

Water samples were collected from 13 sites along the French coast in the Gulf of Lyon and 13 sites along the Chilean Coast, spanning from Valparaiso to northern Patagonia and covering a wide range of coastal habitats. All 116 samples were processed for both metabarcoding and metagenomic library preparation. Metabarcoding of the 16S rRNA V4-V5 gene region yielded data for 115 samples (one failed library) comprising 53,392 amplicon sequence variants (ASVs) with some samples sharing as few as three ASVs. Metagenomic sequencing from all 116 samples enabled the reconstruction of 1372 medium to high-quality prokaryotic metagenome-assembled genomes (MAGs) following the standard of minimum information about a metagenome-assembled genome (MIMAG). The dataset also includes a gene catalogue of prokaryotic and eukaryotic genes exhibiting 31% of functional novelty. In addition, comprehensive environmental data were collected, including salinity, temperature, chlorophyll-a, cell densities, phosphate, nitrate, nitrite, ammonium, dissolved organic carbon (DOC), humic-like fluorescent dissolved organic matter (fDOM), protein-like fDOM, respiration and leucine incorporation rates. Here, the ASV tables, all reconstructed MAGs, the gene catalogue of prokaryotic and eukaryotic genes, as well as the data files used as input for the technical validation presented in the associated data paper are posted. The file structure follows the structure of the Repository linked below. To avoid duplicated input files, the files were only uploaded to the directory of the scripts that the files were used in first. A copy of release version 1.0.0 of the repository is included in this data record (iowseq000048_gesifus.field.zip)., The study was financed by the German Science Foundation (DFG, BE 5937/2-3) and further financially supported via a RCPJANAH - Dotation (CPJ) from the University of Clermont Auvergne. Sampling activities in Chile were financially supported by the Chilean National Agency for Research and Development (ANID) through the COPAS Coastal project (FB210021), and through the Fondecyt 1211977 research project as well as the CNRS Laboratoire international associé program (IRP MAST CNRS INSU INSB INEE). Further funding was provided via Ecole Normale Supérieure de Paris, the Fondation de la Mer, the Institut de l’Océan via the Alliance Sorbonne Université, the Erasmus+ Programme of the European Union, 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

Earthquake catalog for southern Haiti spanning 20 August 2021 to 6 February 2022, produced from the data from a local temporary broadband seismic network, a national network of low-cost seismometers, and regional seismic networks, using a probabilistic global-search non-linear location method (NLL-SSST-coherence). The full description of the methodology is provided in "Sylvert et al., Precise Relocation of the 14 August 2021 M 7.2 Nippes, Haiti, Earthquake Sequence using Broadband and Citizen-hosted Short-period Seismometers, Tectonophysics 918: 230982 (2026)" https://doi.org/10.1016/j.tecto.2025.230982, We acknowledge funding from the FEDER European Community program through the Interreg Caraïbes “PREST” project, grant number 5236, and from the French National Research Agency, “OSMOSE” project, grant number ANR-21CE03-0010, and “CAST” project, grant number ANR-22-CE01-0019. We acknowledge the support of the Joint International Laboratory “Caribact”. Sylvert Paul’s PhD grant was funded by the Initiative of Excellence Université Côte d’Azur under reference number ANR-15-IDEX-01 and by the French Embassy in Haiti through the Anténor Firmin doctoral research program. Steeve J. Symithe acknowledges support from the Grant and Cooperative Agreement G20AC00100 between the U.S. Geological Survey (USGS) and the Faculté des Sciences (FDS) of the State University of Haiti (UEH). Funding from this grant was provided by the USAID Bureau of Humanitarian Assistance. Steeve J. Symithe also acknowledges funding from the “Fonds d’Appui à la Recherche” (FAR) of the Rectorat of the States University of Haiti (RUEH), 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

In neurones, like in any other cell, their function often relies on the fine-tuning of their protein levels, which is achieved by the balance between protein synthesis and turnover. Defects in protein homeostasis frequently lead to neuronal dysfunction and neurological disorders. Given their extreme morphological complexity and high compartmentalization, neurones highly depend on the asymmetrical distribution of their proteome. The common belief is that proteins that sustain axonal, dendritic and synaptic functions are synthesized in the soma and then transported to distal neuronal compartments. However, there is a complementary mechanism by which the mRNAs, and not the proteins, are transported to distal subneuronal domains, and once they reach their destination, they are locally translated. Although once considered heretical, local translation (or local protein synthesis) is now widely accepted by the scientific community. Nonetheless, there is one question that remains largely unexplored in the field, and that is whether local translation in dendrites, axons and synapses is fully regulated by the neurone itself or if non-neuronal cells (e.g., glia) can modulate this mechanism in a non-cell-autonomous manner. Here, we combined primary neuronal cultures, astrocyte-derived extracellular vesicle (EVs) isolation, and proteomics to investigate whether astroglial EVs modulate local translation in axons. We show that EVs released by astrocytes exposed to amyloid-β peptide (Aβ) enhance protein synthesis specifically in distal axons and increase synaptic integrity. Proteomics analysis and western blotting identified the ribosomal protein Rps6 as an astroglial Aβ-EV cargo delivered to axons. Interestingly, genetic downregulation revealed the contribution of vesicular Rps6 to translation regulation in axons and synaptic integrity. To our knowledge, this is the first report that directly demonstrates glial control of local translation in neurones through EVs, revealing a novel glia-to-neurone communication mechanism in an experimental model of Alzheimer's disease (AD)., This work was supported by grants SAF2016-76347-R and PID2022-139451OB-I00 funded by MICIU/AEI/10.13039/501100011033 and by“ERDF/EU” (to JB), grants AARG-19-618303 and AARG-19-618303-RAPID from the Alzheimer´s Association (to JB), grant 2024RTE00652727from the Basque Department of Health (to JB), a start-up grant from theRamón y Cajal program (RYC-2016-19837 to JB) and start-up funds fromthe Basque Foundation for Science (IKERBASQUE to JB). MG and AdC-G were recipients of Predoctoral Fellowships from the Basque Countryand EMBO Scientific Exchange Grants. MG was recipient of a GEIVEXMOVE European Mobility Fellowship. MB-U was funded by a Predoctoral Fellowship from the University of the Basque Country (UPV/EHU)., Peer reviewed