BUSCADOR RECOLECTA

heneghan_global_prokaryotes.nc4 Global dataset of prokaryotic abundance, cell size and biomass, specific-growth rates, respiration and growth. Generated using statistical models developed in paper. Also includes environmental variables that are inputs to statistical models., data.zip Contains all data required to generate figures and statistical models in paper (code to generate figures and models available at https://doi.org/10.5281/zenodo.12562068) including raw data of prokaryotic abundance, cell carbon, specific growth rates and gross growth efficiency., source_data.zip Contains all data as presented in figures in paper. Source data in this format is a requirement of Nature Communications., Ministerio de Ciencia, Innovación y Universidades Circumnavigation Expedition Malaspina 2010: Global Change and Biodiversity Exploration of the Global Ocean: CSD2008-00077, With the institutional support of the ‘Severo Ochoa Centre of Excellence’ accreditation (CEX2019-000928-S)., Peer reviewed

This entry contains the raw data for the article 'Systematic Modulation of Charge and Spin in Graphene Nanoribbons on MgO'. In order to take full advantage of graphene nanostructures in quantum technologies, their charge and spin state must be precisely controlled. Graphene quantum dots require external gating potentials to tune their ground state. Here, we show systematic manipulation of the electron occupation in graphene nanoribbons laying on MgO layers grown on Ag(001). Owing to the efficient decoupling character of MgO, and the electropositive nature of the substrate, the ribbons host an integer number of electron charges that depend on their length and shape. This results in the alternation between a non-magnetic closed-shell state and an open-shell paramagnetic system for even and odd electron occupations respectively. For the odd case, we find a narrow Coulomb correlation gap, which is the smoking gun of its spin ½ state. Comparisons of scanning tunnelling microscopy data with mean-field Hubbard simulations confirm the discretization of the ribbons’ electronic states and charge excess of up to 19 electrons per ribbon., No

heneghan_global_prokaryotes.nc4 Global dataset of prokaryotic abundance, cell size and biomass, specific-growth rates, respiration and growth. Generated using statistical models developed in paper. Also includes environmental variables that are inputs to statistical models., data.zip Contains all data required to generate figures and statistical models in paper (code to generate figures and models available at https://doi.org/10.5281/zenodo.12741068) including raw data of prokaryotic abundance, cell carbon, specific growth rates and gross growth efficiency., source_data.zip Contains all data as presented in figures in paper. Source data in this format is a requirement of Nature Communications., Ministerio de Ciencia, Innovación y Universidades Circumnavigation Expedition Malaspina 2010: Global Change and Biodiversity Exploration of the Global OceanCSD2008-00077, With the institutional support of the ‘Severo Ochoa Centre of Excellence’ accreditation (CEX2019-000928-S)., Peer reviewed

Malaria remains one of the most important infectious diseases globally due to its high incidence and mortality rates. The influx of infected cases from endemic to non-endemic malaria regions like Europe has resulted in a public health concern over sporadic local outbreaks. This is facilitated by the continued presence of competent Anopheles vectors in non-endemic countries. We modelled the potential distribution of the main malaria vector across Spain using the ensemble of eight modelling techniques based on environmental parameters and the Anopheles maculipennis s.l. presence/absence data collected from 2000 to 2020. We then combined this map with the number of imported malaria cases in each municipality to detect the geographic hot spots with a higher risk of local malaria transmission. The malaria vector occurred preferentially in irrigated lands characterized by warm climate conditions and moderate annual precipitation. Some areas surrounding irrigated lands in northern Spain (e.g. Zaragoza, Logroño), mainland areas (e.g. Madrid, Toledo) and in the South (e.g. Huelva), presented a significant likelihood of A. maculipennis s.l. occurrence, with a large overlap with the presence of imported cases of malaria. While the risk of malaria re-emergence in Spain is low, it is not evenly distributed throughout the country. The four recorded local cases of mosquito-borne transmission occurred in areas with a high overlap of imported cases and mosquito presence. Integrating mosquito distribution with human incidence cases provides an effective tool for the quantification of large-scale geographic variation in transmission risk and pinpointing priority areas for targeted surveillance and prevention., MCIN/AEI through the European Regional Development Fund (SUMHAL, LifeWatch-2019-09-CSIC-4, POPE 2014-2020) and PLEC2021-007968 project NEXTHREAT MCIN/AEI/10.13039/2011000110333 and European Union Next Generation EU/PRTR funds, CIBER Epidemiología y Salud Pública and La Caixa Foundation through the project ARBOPREVENT (HR22-00123). Part of the samples used for the analyses were provided from studies financed from projects IB16121 and IB16135 from the Extremadura Regional Government, from Ayudas Fundación BBVA a Equipos de Investigación Científica 2019 (PR (19_ECO_0070)). MF is currently funded by a Ramón y Cajal postdoctoral contract (RYC2021-031613-I) from the Spanish Ministry of Science and Innovation (MICINN). M.J.R.L received support from the Agencia Estatal de Investigación (project PID2020-118921RJ-100 funded by MCIN/AEI/10.13039/501100011033)., Peer reviewed

Tropical regions contain ecologically and socio-economically important habitats, and are home to about 3.8 billion people, many of which directly depend on tropical coastal waters for their well-being. At the basis of these ecosystems are biogeochemical processes. Climate change is expected to have a greater impact in the tropics compared to temperate regions because of the relatively stable environmental conditions found there. However, it was surprising to find only 660 research articles published focusing on the impact of climate change on the biogeochemistry of coastal tropical waters compared to 4823 for temperate waters. In this perspective, we highlight important topics in need of further research. Specifically, we suggest that in tropical regions compared to temperate counterparts climate change stressors will be experienced differently, that organisms have a lower acclimation capacity, and that long-term baseline biogeochemical datasets useful for quantifying future changes are lacking. The low number of research papers on the impacts of climate change in coastal tropical regions is likely due to a mix of reasons including limited resources for research and limited number of long time series in many developing tropical countries. Finally, we propose some action points that we hope will stimulate more studies in tropical coastal waters., Research Fund Denmark Grant (1127-00033B), Peer reviewed

Environmental variation often induces plastic responses in organisms that can trigger changes in subsequent generations through non-genetic inheritance mechanisms. Such transgenerational plasticity thus consists of environmentally-induced non-random phenotypic modifications that are transmitted through generations. Transgenerational effects may vary according to the sex of the organism experiencing the environmental perturbation, the sex of their descendants, or both, but whether they are affected by past sexual selection is unknown. Here we use experimental evolution on an insect model system to conduct a first test of the involvement of sexual selection history in shaping transgenerational plasticity in the face of rapid environmental change (exposure to pesticides). We manipulated evolutionary history in terms of the intensity of sexual selection for over 80 generations before exposing individuals to the toxicant. We found that sexual selection history constrained adaptation under rapid environmental change. We also detected intergenerational and transgenerational effects of pesticide exposure in the form of increased fitness and longevity. These cross-generational influences of toxicants were sex-dependent (they affected only male descendants), and intergenerational, but not transgenerational, plasticity was modulated by sexual selection history. Our results highlight the complexity of intragenerational, intergenerational, and transgenerational influences of past selection and environmental stress on phenotypic expression., Ministerio de Ciencia e Innovación : PID2019-105547GB-I00; Ministerio de Ciencia e Innovación : FPU17/02623; Ministerio de Ciencia e Innovación : CGL2016-76173-P, Peer reviewed

[Aim] We investigated the relationship between thermal physiology, elevational distribution, and thermal stress among nine closely related dendrobatid frogs during their aquatic stage by employing an integrated approach, combining thermal physiology, environmental temperature modelling, and predictive assessments of current and future exposure to thermal variation., [Location] Ecuador, [Taxon] Amphibians; Anura, Dendrobatidae, Epipedobates, Hyloxalus, [Methods] We determined the Thermal Performance Curves of larval growth (TPCs) for each species and modelled the thermal variation in contrasting aquatic larval environments for both present and future times. This allowed us to estimate the expected elevational distributions and forecast periods of exposure to stressful temperatures that inhibit larval growth due to elevation and global warming., [Results] We found significant correlations between optimum temperature (Topt), 50 % maximum performance temperature (maxB50), 50% minimum performance temperature (minB50), and cold resistance (survival at 9 ºC) with the current elevational distributions. However, thermal physiology predicted lower than observed distributions for high-elevation dendrobatids and higher than observed maximum elevations for lowland species. Nonetheless, our models predicted that low thermal variability habitats (i.e. streams and deep permanent ponds) can buffer the future increase in temperatures for all taxa, even when considering the most extreme scenario. In contrast, all species within high thermal variation habitats (open forest temporary ponds) are expected to experience stressful temperatures under present conditions., [Main Conclusions] The findings indicate that thermal physiology may not be a limiting factor for dendrobatid frog species' ranges in this equatorial mountain gradient. Highland species may need to adapt to suboptimal performance, while some lowland species could occupy higher elevations. This study emphasizes the importance of habitat buffering to mitigate thermal stress in the face of climate change for amphibians in tropical mountains., Ministry of Economy, Industry and Competitiveness : CGL2012-40246-C02-01; Ministry of Economy, Industry and Competitiveness : SEV-69; Spanish Agency for International Development Cooperation : BOE-A-2015-12270; Marie Skłodowska-Curie Actions : MSCAH2020:897901; Spanish Agency for International Development Cooperation : AP/038788/11; Pontificia Universidad Católica del Ecuador : L13227, General Academic Board, Peer reviewed

1. Johannsen.dataset1.csv [line, class.seed.mother, mean.seed.progeny, stdev.seed.progeny, freq] This dataset includes results of experiments for each pure line showing the mean and standard deviation of seed weight, broken down by the weight class of the initial mother seeds ("Muttersamen", 1901 crop) (Johannsen 1903, p. 21-24, tables Linie A through Linie T). Detailed information on the variables to be found in the original source., 2. Johannsen.dataset2.csv [line, class.seed.progeny, freq] This dataset consists of the distribution of seeds among weight classes, separately for each pure line (Johannsen 1903, Uebersichtstabelle I, p. 25). Detailed information on the variables to be found in the original source., FocScales, PROMETEO-2021/040; EPINTER, PID2019-104365GB-I00, Peer reviewed

[ENG] The dataset is structured in a single Excel file comprising three sheets, each containing raw measurements of cumulative infiltration curves followed by gravity drainage. In every sheet, the first row labels the different infiltration curves, with time values (in seconds) recorded in Column A and corresponding cumulative infiltration data (in millimeters) in subsequent columns. Each infiltration curve represents a distinct material, differentiated by color-coded headers for clarity. The time column remains consistent across all curves, while the infiltration data columns (B, C, etc.) capture the different cumulative infiltration followed by drainage. The first sheet, labeled Hydrophobic Substrate, includes the infiltration curves measured in 1 cm and 2.5 cm thick columns filled with hydrophobic litter of Rosmarie (RS) and Pine. Each combination of substrate type (RS or Pine) and column thickness was tested in triplicate (three replications). The headers are color-coded to distinguish between different column geometries and substrate types. The second sheet, titled Hydrophobic Layer on Wettable Soil, contains cumulative infiltration curves measured in laboratory soil columns. Each column consisted of a 2 cm thick layer of hydrophobic Rosmarie (RS) or Pine litter placed atop a 5 cm thick layer of either sand or loam soil. Three replicates were performed for each hydrophobic-wettable layer combination. The headers of each infiltration curve are color-coded to distinguish between different column geometries and substrate types. The third sheet, Undisturbed cores, shows the cumulative infiltration curves measured in from undisturbed soil cores collected in forest soils. The first row of the sheet identifies each infiltration curve., [ESP] El conjunto de datos se estructura en un único archivo Excel compuesto por tres hojas, cada una de las cuales contiene las mediciones brutas de curvas de infiltración acumulada seguidas de drenaje por gravedad. En cada hoja, la primera fila etiqueta las diferentes curvas de infiltración, con valores de tiempo (en segundos) registrados en la columna A y los correspondientes datos de infiltración acumulada (en milímetros) en las columnas siguientes. Cada curva de infiltración representa un material distinto, diferenciado por cabeceras codificadas por colores. La columna de tiempo se mantiene constante en todas las curvas, mientras que las columnas de datos de infiltración (B, C, etc.) recogen las diferentes curvas de infiltración seguidas por drenaje por gravedad. La primera hoja, denominada Hydrophobic Substrate, incluye las curvas de infiltración medidas en columnas de 1 cm y 2,5 cm de grosor llenas con hojarasca hidrófoba de Romero (RS) y pino (Pine). Cada combinación de tipo de sustrato (RS o Pino) y grosor de columna se ensayó por triplicado (tres réplicas). Las cabeceras están codificadas por colores para distinguir entre las distintas geometrías de columna y tipos de sustrato. La segunda hoja, titulada Hydrophobic Layer on Wettable Soil, contiene curvas de infiltración acumulada medidas en columnas de laboratorio. Cada columna consiste en una capa de 2 cm de espesor de hojarasca hidrófoba de RS o Pine colocada sobre una capa de 5 cm de espesor de arena o suelo franco. Se realizaron tres repeticiones por combinación de capa hidrófoba y suelo humectable. Las cabeceras de cada curva de infiltración están codificadas por colores para distinguir entre las diferentes geometrías de columna y tipos de sustrato. La tercera hoja, Undisturbed cores, muestra las curvas de infiltración acumulada obtenidas a partir de núcleos de suelo inalterados recogidos en suelos forestales. La primera fila de la hoja identifica cada curva de infiltración., © The Author. This dataset is covered by a Creative Commons Licence Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)., [ENG] This data includes a series of experimental infiltration curves followed by gravity drainage measured on laboratory columns consisting of different hydrophobic substrates and hydrophobic substrates placed on different wettable soils. Also included are infiltration curves followed by gravity drainage measured on undisturbed soil cores. The infiltration curves on hydrophobic substrates were measured in columns of 1 cm and 2.5 cm thickness filled with hydrophobic litter of Rosmarie (RS) and Pine (Pine). The infiltration curves followed by gravity drainage obtained in stratified hydrophobic-wettable cores were measured in columns consisted of a 2 cm thickness layer of RS or Pine placed on sand or loam soil. Finally, a set of 6 infiltration curves measured on undisturbed soil cores., [ESP] Estos datos incluyen una serie de curvas experimentales de infiltración seguidas de drenaje por gravedad obtenidas sobre columnas de laboratorio formadas por diferentes sustratos hidrófobos y sustratos hidrófobos dispuestos sobre diferentes suelos mojables. También se incluyen curvas de infiltración seguidas de drenaje por gravedad medidas en testigos de suelo inalterados. Las curvas de infiltración en sustratos hidrófobos se midieron en columnas de suelo compuestas por capas de 1 cm y 2,5 cm de hojarasca hidrófoba de Rosmarie (RS) y Pino (Pine). Las curvas de infiltración seguidas de drenaje por gravedad obtenidas en testigos estratificados con material hidrófobo-humectable se midieron en columnas formadas por una capa de 2 cm de espesor de RS o Pino dispuestas sobre arena o suelo franco. Por último, también se incluye un conjunto de 6 curvas de infiltración medidas en testigos de suelo inalterados tomados de suelos forestales., Project RENURSE (TED2021-132406B-I00), funded by Ministerio de Ciencia e Innovación. Projects BEEP (BF047) y BIOPIRINEO (BF160) funded by Ministerio para la Transición Ecológica y el Reto Demográfico., Peer reviewed

Files containing data on the characterization of the synthesized materials, including nitrogen isotherms, mercury intrusion porosimetry, and density measurements., Peer reviewed