BUSCADOR RECOLECTA

This project received funding from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation program (Advanced Grant agreement #834162, SUMMIT, to RS). It was also funded by the Spanish Ministry of Science and Innovation (MCIN/AEI, doi: 10.13039/501100011033) through the BIOGAPS grant (CTM2016-81008-R) to RS, the “Severo Ochoa Centre of Excellence” accreditation (CEX2019-000298-S) to the ICM, and predoctoral grants to MM-N (BES-2017-080048) and MC-B (FPU16-01925). LX and DJK were supported by funding from the National Science Foundation Chemical Oceanography program (CO-1756907) to DJK. SGG was supported by an Australian Government Endeavour Research Fellowship. GJH was supported by the Austrian Science Fund (FWF) grant P28781-B21, File 1: Concentrations of DMSP, DMS, DMDS, COS, CS2, isoprene, CH3I, CH2ClI, CH2Br2 and CHBr3, DOC, DON, FDOM, POC, PON, nutrients, chla, bacteria and sized phytoplankton abundances, phytoplankton group biomasses, bacterial activity, and bromoperoxidase activity in seawater samples along a transect of 6 sampling sites from the open ocean into and across the northern coral reef of Mo'orea, French Polynesia. The sampling sites along the transect were visited 4-5 times in April 2018. All samples are surface seawater (20 cm approx). Included are two short distance gradients of volatile compounds between the very proximity of a coral Pocillopora sp. and the water 2 m away, as well as between a raft of decomposing seaweeds and 2 m away. File 2: Rates of net production (positive values) or net loss (negative values) of DMS, DMDS, COS, CS2, isoprene, CH3I, CH2ClI, CH2Br2 and CHBr3 in the back-reef lagoon of the northern reef of Mo'orea (French Polynesia) caused by several reef components and processes: seawater photochemistry, microbial plankton, the dominant seaweed Turbinaria ornata, bare carbonate sediments, ans air-sea exchange (ventilation). All rates were determined from bottle incubations, with corrections to in situ conditions between 10:00 and 14:00 local time, and the transit time of the water across the lagoon. Methodological details of sampling, analyses, process-oriented incubations and calculations are provided in the paper, Peer reviewed

This dataset contains the phenotypic data measured during the experiment and the R code employed in the statistical analyses of the paper "Interactive effects of warming and competition do not limit the adaptive plastic response to drought in populations of a Mediterranean plant", published in Global Change Biology. Water scarcity is the main selective pressure determining the performance of Mediterranean plant populations, with climate change predicted to increase the intensity and duration of droughts. However, drought rarely acts in isolation. Climate change also involves substantial warming in this region and may disrupt natural processes, including biotic interactions. Phenotypic plasticity allows plants to cope with rapid and multifaceted environmental changes. Although our knowledge of plastic responses to drought in Mediterranean plants has increased in recent years, how co-occurring simultaneous stressors interact to produce additive, synergistic, or antagonistic effects that enhance or constrain adaptive plastic responses to drought is still unknown. Using a factorial experimental approach based on a multivariate common garden, we assessed whether adaptive phenotypic plasticity to drought and population differentiation in traits related to drought response were affected by the occurrence of other key simultaneous stressors, warming and intraspecific competition, in a Mediterranean gypsum endemic shrub. In response to drought, plants expressed adaptive plastic responses associated with a mixed resource-use strategy, combining conservative (sclerophyllous leaves with higher water use efficiency) and acquisitive (advanced phenology) phenotypic responses. Although the response to drought was modified by synergistic and antagonistic interactions with warming and competition, these interactions did not change the direction or reduce the extent of adaptive plasticity to drought. This suggests that plastic responses to drought may also provide benefits against warming and competition. Finally, we detected significant population differentiation in all functional traits, but phenotypic differences in reproductive biomass were significantly reduced under combined drought and warming. Our results emphasize the robustness of adaptive plasticity to drought under complex stress scenarios and underscore the importance of realistic, multifactorial experimental approaches to predict whether adaptive responses of plant populations will remain effective in a climate change context and influence their future ecological and evolutionary dynamics., Ministry of Economy, Industry and Competitiveness : CGL2016–75566-P Ministerio de Ciencia, Innovación y Universidades : PID202-126103NB-I00 Universidad Rey Juan Carlos : C1PREDOC2020, Peer reviewed

Two detection objectives were used, depending on sample size, a 4x/0.28 NA Olympus XLFLUOR4x/340 objective (0, 5, 10, 19 DPH Octopus vulgaris individuals, Loligo vulgaris and Illex coindetii) and a Nikon 10x/0.5 NA CFI Plan Apochromat 10xC Glyc (Rest of the samples). For illumination, two 4x/0.95 NA Nikon CFI Plan Apo Lambda 4x were used when using the 10x detection objective and two 4x/0.13 NA Nikon Plan Fluor illumination objectives were used when using the 4x detection objective.-- Microscope: MuVi SPIM (Luxendo), LCS SPIM (Luxendo, only Sepia officinalis and 60 DPH Octopus vulgaris individuals), Project funding was provided by the Spanish Ministry of Science, Innovation and Universities (OCTOSET project RTI2018-097908-B-I00; ECOPHYN project PID2021-126824NB-C32; MCIU/AEI/FEDER, EU), and the Spanish government through the “Severo Ochoa Center of Excellence” accreditation (CEX2019-000928-S). DGV was funded by a predoctoral fellowship from MICIU/AEI /https://doi.org/10.13039/501100011033 and by the FSE + (Ref. PRE2022-101292). FAFA was supported by a Beatriu de Pinós fellowship from Secretaria d'Universitats i Recerca del Departament de Recerca i Universitats of the Generalitat de Catalunya (Ref. BP 2021 00035), Acronyms: OV: Octopus vulgaris, SO: Sepia officinalis, LV: Loligo vulgaris, IC: Illex coindetii, DPH: Days Post-Hatching, Peer reviewed

The impact of warming on zooxanthellate corals is widespread, from tropical to temperate seas, with their associated mortalities causing global concern. The temperate coral Cladocora caespitosa is the only zooxanthellate coral with reef-building capacity in the Mediterranean Sea, a climate change hotspot with warming rates triple the global average. Over the past two decades, C. caespitosa populations have suffered severe mortality events associated with marine heatwaves (MHWs). However, with monitoring efforts beginning, at best, in the 2000s, the occurrence of MHWs before to that period, as well as the sub-lethal effects of these events remain poorly understood. Here we use sclerochronology to reconstruct the histories of past stress events and long-term sub-lethal effects on C. caespitosa in three locations within the NW Mediterranean Sea, each with different environmental conditions. Skeletal extension, density and calcification rates were compared to the in situ seawater temperature of each site to assess their relationship. Additionally, we assessed the occurrence of skeletal growth anomalies to reconstruct stress events between 1991 and 2021, a period that encompasses the onset and evolution of warming-related mass mortality events in the NW Mediterranean Sea. Our results reveal a positive association between calcification and temperature, following a latitudinal temperature gradient. However, the evolution of the likelihood distribution of growth rates in the warmest site (Columbretes Islands) since the 1990s indicates a decrease in linear extension and calcification rates during the most recent years. With the increase in the frequency of MHWs and growth anomalies during the last decade, this decline suggests a recurrence in physiological stress events. These results unravel information on the long-term impacts of warming on coral growth and highlight the potential of applying sclerochronology to reconstruct sub-lethal effects of warming using C. caespitosa, This research is supported by the Horizon 2020 program of research and innovation of the European Union under the MaCoBioS grant agreement, by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation, project no. 401447620) and by the Spanish Ministry of Science, Innovation and Universities under the project UndResCoral (project no. PID2022-137539OA-C22). D.K.K. was supported by a Ramon y Cajal postdoctoral grant funded by the Ministry of Science and Innovation (PEICTI 2021–2023; grant no. RYC2021-033576-I). C.L. acknowledges the support by ICREA Academia. J.G. acknowledges the grant “Severo Ochoa Centre of Excellence” accreditation (CEX2019-000928-S) funded by AEI 10.13039/501100011033, Peer reviewed

The README contains information about the folder and file structure., A collection of 106 maize inbred lines, representative of the Mediterranean region or adapted to this environment was evaluated with DROMAMED project. Two experiments were performed by using the automated high-throughput shoot phenotyping platform for large plants in an environmentally controlled greenhouse at the Leibniz Institute of Plant Genetics and Crop Plant Research (IPK), Gatersleben, Germany. In the control experiment (non-stress), plants were grown in conditions of 25 ºC day / 20 ºC night (16/8h day/night) and the field capacity (FC) of the soil was kept at 70%. In the stress treatment phase of the second experiment plants were exposed to combined drought and high temperature (D-HT) and were cultivated at 35 ºC day / 25 ºC night (16/8h day/night) and 30% FC. For the D-HT experiment, the stress conditions were imposed starting one week after the plants were transplanted into the system, 18 days after sowing (DAS). During the first week in the system, plants were grown under the same conditions as the control experiment. Then the stress conditions were imposed for two weeks and afterwards, the plants were returned to control conditions and allowed to recover for two more weeks., he authors would like to thank the DROMAMED consortium partners responsible for the management and shipment of seeds from the following germplasm banks: Misión Biológica de Galicia (CSIC) in Spain; Research Centre for Cereal and Industrial Crops (CREA) and the Department of Agricultural and Food Sciences at the Università di Bologna in Italy; the Bati Akdeniz Agricultural Research Institute in Turkey; Unité Expérimentale du Maïs in Saint-Martin-de-Hinx, France; Génétique Quantitative et Evolution (GQE) - Le Moulon, Université Paris-Saclay, AgroParisTech; and LEPSE, University of Montpellier in France. We also thank the Génétique Quantitative et Evolution (GQE) - Le Moulon group for their work in coordinating and carrying out the genotyping of the evaluated set of lines., Peer reviewed

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This dataset includes: (1) snow-covered area (SCA) measurements (km²) obtained between 2000 and 2020 in the Toconao sub-basin, located within the Salar de Atacama Basin (Chile); and (2) meteorological and hydrological input and output data corresponding to three hydrological years (from 1 May 2016 to 30 April 2019), generated using the Cold Regions Hydrological Modelling Platform (CRHM). The dataset is analysed and interpreted in the article entitled “Snowmelt and Groundwater Recharge in an Arid Andean Basin: The Case of the Salar de Atacama, Chile.”, MICIU/AEI/ 10.13039/501100011033 and by SE+ JDC2023-051090 Centre of Excellence Severo Ochoa: CEX2018-000794-S, With funding form the Spanish government through the "Severa Ochoa Centre of Excellence" accreditation (CEX2018-000794-S)., Peer reviewed

This dataset corresponds to monitoring conducted in the upper basin of the Llobregat and Cardener rivers during 2024 and 2025. It includes data from ten sampling campaigns carried out to collect precipitation, surface water, and groundwater samples from 30 locations across the study area. The dataset is analyzed and interpreted in the article entitled 'Isotopic Characterization and Recharge Dynamics of Karst Aquifers in a Mediterranean Basin.'", Consejo Superior de Investigaciones Científicas: CEX2018-000794-S Ministerio de Ciencia, Innovación y Universidades: JDC2023-051090 Ministerio de Ciencia, Innovación y Universidades: RYC2023-04523-I, Peer reviewed

This work was supported by MCIN/AEI/10.13039/501100011033 and NextGenerationEU/PRTR, Grant no. FJC2020-043762-I to M.B; J.O. was supported by Universitat de Barcelona through the PREDOCS-UB grant (2021); A.F.-A. was supported by Ministerio de Ciencia e Innovación, Grant no. PRE2021-099287 from the project ProOeans (PID2020-118097RB-I00); F.R. was supported by the Ramón y Cajal program (RYC2020-030078-I); D.M. was supported by the CIDEGENT program of the Generalitat Valenciana (CIDEGENT/2021/058); This research was also supported by the projects SOSPEN (PID2021-124831OA-I00), SEASentinels (CNS2022-135631) and ProOceans (PID2020-118097RB-I00). This research contributes to the objectives of Q-MARE (a PAGES working group). This work acknowledges the institutional support of the ‘Severo Ochoa Centre of Excellence’ accreditation (CEX2019-000928-S). This research is also part of the Integrated Marine Ecosystem Assessments (iMARES) research group funded by Agència de Gestió d'Ajuts Universitaris i de Recerca (Generalitat de Catalunya) Grant no. 2021 SGR 00435, 1. Scripts classified in the following folders: 1. Presences and Absences: Scripts for creating pseudo-absence points for each study area (other data is also included, e.g., bathymetry). 2. Environmental Data: Scripts for extracting, cleaning, and preparing environmental data for analysis. 3. Fitting: Scripts used to fit species distribution models, calculate the cutoff, and analyze spatial autocorrelation. 4. Predict: Scripts for making predictions based on the fitted models. 2. Datasets: Occurrence Data: The datasets containing species occurrence records after cleaning. Bas_etal_2025/1. Presences and absences/1. NZAU/CSV_ocurrences_NZAU/ Bas_etal_2025/1. Presences and absences/2. South_America/CSV_ocurrences_South_America/ Bas_etal_2025/1. Presences and absences/3. Southern_Africa/CSV_ocurrences_Southern_Africa/ Pseudo-absence Data: The datasets created after the generation of pseudo-absences for modeling species distributions. Bas_etal_2025/1. Presences and absences/1. NZAU/CSV_pseudoabsences_NZAU/ Bas_etal_2025/1. Presences and absences/2. South_America/CSV_pseudoabsences_South_America/ Bas_etal_2025/1. Presences and absences/3. Southern_Africa/CSV_pseudoabsences_Southern_Africa/ Environmental Data: The datasets consisting of the extraction of the environmental variables for each occurrence and pseudo-absence. Bas_etal_2025/2. Environmental data/Dataset after 6. extract_environmentalData_SH_SDM/NZAU/ Bas_etal_2025/2. Environmental data/Dataset after 6. extract_environmentalData_SH_SDM/South_America/ Bas_etal_2025/2. Environmental data/Dataset after 6. extract_environmentalData_SH_SDM/Southern_Africa/, Peer reviewed

More than 3000 physical, chemical and morphological data of soils described between December 1980 and July 1981 in the southernmost part of the province of Lérida, NE Spain, are collected in this dataset. The soils are located between the coordinates 41.62°N 1.06°E, and 41.28°N 0.34°E. Most of the soil samples were taken in backhoe dug pits where their profiles were described. The data —presented here in an Excel spreadsheet— come from the book by J. Porta & R. Julià (eds.) published in 1982 with I.S.B.N. 84-5008771-6. Moreover, two chapters were scanned from this book and included in this dataset as “Description.pdf” and “FormationClassification.pdf”. The author did not proofread the galley proofs of these chapters. The data contained in “Description.pdf” were manually transcribed in 2025 to the excel file “ProfilesLerida04clas.xlsx”. Care must be taken with the location coordinates given the non-correction of the galley proofs and because the resources available to us 45 years ago were quite rudimentary. The excel file “ProfilesLerida04clas.xlsx” incorporates the correction of obvious errors in the coordinates and their transformation to ETRS89 from the notations used in 1980-81. The help of Ms. Rosa Gómez-Báguena with the coordinates is greatly appreciated. We also present the file "1989 XVI Reun.SECS Lérida suelos secano", a report including discussion and data about the studied soils., This research was possible thanks to the grant PID2021-127170OB-I00 funded by MCIN/AEI/10.13039/501100011033 and by “ERDF A way of making Europe”, and the grant TED2021-130303B-I00 funded by MCIN/AEI/10.13039/501100011033 and by the “European Union NextGeneration EU/PRTR”., Peer reviewed