Resultados de investigación

17 pages, 2 tables, 5 figures.-- This work is distributed under the Creative Commons Attribution 4.0 License., A data product of 17 653 discrete samples from 3343 oceanographic stations combining measurements of pH, alkalinity and other biogeochemical parameters off the northwestern Iberian Peninsula from June 1976 to September 2018 is presented in this study. The oceanography cruises funded by 24 projects were primarily carried out in the Ría de Vigo coastal inlet but also in an area ranging from the Bay of Biscay to the Portuguese coast. The robust seasonal cycles and long-term trends were only calculated along a longitudinal section, gathering data from the coastal and oceanic zone of the Iberian upwelling system. The pH in the surface waters of these separated regions, which were highly variable due to intense photosynthesis and the remineralization of organic matter, showed an interannual acidification ranging from −0.0012 to −0.0039 yr−1 that grew towards the coastline. This result is obtained despite the buffering capacity increasing in the coastal waters further inland as shown by the increase in alkalinity by 1.1±0.7 and 2.6±1.0 µmol kg−1 yr−1 in the inner and outer Ría de Vigo respectively, driven by interannual changes in the surface salinity of 0.0193±0.0056 and 0.0426±0.016 psu yr−1 respectively. The loss of the vertical salinity gradient in the long-term trend in the inner ria was consistent with other significant biogeochemical changes such as a lower oxygen concentration and fertilization of the surface waters. These findings seem to be related to a growing footprint of sediment remineralization of organic matter in the surface layer of a more homogeneous water column, The compilation of this dataset was funded by the ARIOS project (CTM2016-76146-C3-1-R) funded by the Spanish government through the Ministerio de Economía y Competitividad that included European FEDER funds. Part of the processing work was supported by the MarRISK project (European Union FEDER 0262_MarRISK_1_E) funded by the Programme 2014–2020 Interreg V-A-Spain-Portugal (POPTEC). This project has also received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement no. 820989 (project COMFORT, Our common future ocean in the Earth system – quantifying coupled cycles of carbon, oxygen, and nutrients for determining and achieving safe operating spaces with respect to tipping points), Peer reviewed

Background There is an increasing demand for databases including species trait information for biodiversity and community ecology studies. The existence of trait databases is useful for comparative studies within taxa or geographical regions, but there is low availability of databases for certain organisms. Here we present an open access functional trait database for spiders from Macaronesia and the Iberian Peninsula, recording several morphological and ecological traits related to the species life histories, microhabitat and trophic preferences. New information We present a database that includes 12 biological traits for 506 spider species present in natural forests of the Iberian Peninsula (Spain) and three Macaronesian archipelagoes (Azores, Madeira and Canary Islands). The functional trait database consists of two sections: individual-level data for six morphological traits (total body size, prosoma length, prosoma width, prosoma height, tibia I length and fang length), based on direct measurements of 2844 specimens of all spider species; and species-level aggregate data for 12 traits (same 6 morphological traits as in the previous section plus dispersal ability, vertical stratification, circadian activity, foraging strategy, trophic specialization and colonization status), based on either the average of the direct measurements or bibliographic searches. This functional trait database will serve as a data standard for currently ongoing analyses that require trait and functional diversity statistics., This study was supported by the project BIODIV ISLAND-CONT (Biodiversity drivers on islands and continents – 706482) funded by Marie Sklodowska-Curie Individual Fellowships (H2020-MSCA-IF-2015) to the first author NMH. Additional support was provided by grant 2017SGR83 from the Catalan Government to MA. PB and PC are supported by AZORESBIOPORTAL–PORBIOTA (ACORES-01-0145-FEDER-000072) for the development of Functional Traits for Azorean arthropods. MD is supported by an APIF PhD fellowship from the University of Barcelona. We also thank Rutger Vos and Martin Ramirez for their valuable comments that greatly helped to improve the quality of this paper., Peer reviewed

Background Here we present the data obtained from the samples collected as part of a large research project (MACDIV) which aims at understanding the drivers of spider (Araneae) community assembly in Macaronesian islands. To obtain the data, we applied the sampling protocol COBRA (Conservation Oriented Biodiversity Rapid Assessment), in twelve 50 m x 50 m native forest plots and five dry habitat plots on the island of Madeiraand in 5 dry habitat plots on the island of Porto Santo. Through this publication, we contribute to the knowledge of the arachnofauna of the Madeiran archipelago. New information From the samples that we collected, we obtained a total of 14,902 specimens, of which 49% were adults (7,263). We identified these specimens to 87 species and 18 morphospecies (undescribed), belonging to 26 families. Species of the family Linyphiidae dominated the samples, with 24 (morpho)species. Out of the 105 recorded (morpho)species, 34 were endemic, 26 native non-endemic, 22 introduced and 23 species of unknown origin. We report seven new records of possibly recently introduced species in the Madeiran archipelago. We also present 21 new records for Madeira island and 32 for Porto Santo (33 for the whole archipelago)., This research was supported by the project FCT MACDIV financed by Fundação para a Ciência e a Tecnologia – ref. FCT-PTDC/BIABIC/0054/2014, that also supported the Open Access of the manuscript. We are grateful to the Madeira Natural Park for the logistic support as well as permission for the collection of specimens., Peer reviewed

BPEC is an R package for Bayesian phylogeographic and ecological clustering which allows geographical, environmental and phenotypic measurements to be combined with deoxyribonucleic acid (DNA) sequences in order to reveal geographic structuring of DNA sequence clusters consistent with migration events. DNA sequences are modelled using a collapsed version of a simplified coalescent model projected onto haplotype trees, which subsequently give rise to constrained clusterings as migrations occur. Within each cluster, a multivariate Gaussian distribution of the covariates (geographical, environmental, phenotypic) is used. Inference follows tailored reversible jump Markov chain Monte Carlo sampling so that the number of clusters (i.e., migrations) does not need to be pre-specified. A number of output plots and visualizations are provided which reflect the posterior distribution of the parameters of interest. BPEC also includes functions that create output files which can be loaded into Google Earth. The package commands are illustrated through an example dataset of the polytypic Near Eastern brown frog Rana macrocnemis analyzed using BPEC., Peer reviewed

26 pages, 11 figures, 7 tables.-- This work is distributed under the Creative Commons Attribution 4.0 License, The Global Ocean Data Analysis Project (GLODAP) is a synthesis effort providing regular compilations of surface-to-bottom ocean biogeochemical data, with an emphasis on seawater inorganic carbon chemistry and related variables determined through chemical analysis of seawater samples. GLODAPv2.2020 is an update of the previous version, GLODAPv2.2019. The major changes are data from 106 new cruises added, extension of time coverage to 2019, and the inclusion of available (also for historical cruises) discrete fugacity of CO2 (fCO2) values in the merged product files. GLODAPv2.2020 now includes measurements from more than 1.2 million water samples from the global oceans collected on 946 cruises. The data for the 12 GLODAP core variables (salinity, oxygen, nitrate, silicate, phosphate, dissolved inorganic carbon, total alkalinity, pH, CFC-11, CFC-12, CFC-113, and CCl4) have undergone extensive quality control with a focus on systematic evaluation of bias. The data are available in two formats: (i) as submitted by the data originator but updated to WOCE exchange format and (ii) as a merged data product with adjustments applied to minimize bias. These adjustments were derived by comparing the data from the 106 new cruises with the data from the 840 quality-controlled cruises of the GLODAPv2.2019 data product using crossover analysis. Comparisons to empirical algorithm estimates provided additional context for adjustment decisions; this is new to this version. The adjustments are intended to remove potential biases from errors related to measurement, calibration, and data-handling practices without removing known or likely time trends or variations in the variables evaluated. The compiled and adjusted data product is believed to be consistent to better than 0.005 in salinity, 1% in oxygen, 2% in nitrate, 2% in silicate, 2% in phosphate, 4 μmolkg-1 in dissolved inorganic carbon, 4 μmolkg-1 in total alkalinity, 0.01–0.02 in pH (depending on region), and 5% in the halogenated transient tracers. The other variables included in the compilation, such as isotopic tracers and discrete fCO2, were not subjected to bias comparison or adjustments. The original data and their documentation and DOI codes are available at the Ocean Carbon Data System of NOAA NCEI (https://www.nodc.noaa.gov/ocads/oceans/GLODAPv2_2020/, last access: 20 June 2020). This site also provides access to the merged data product, which is provided as a single global file and as four regional ones – the Arctic, Atlantic, Indian, and Pacific oceans – under https://doi.org/10.25921/2c8h-sa89 (Olsen et al., 2020). These bias-adjusted product files also include significant ancillary and approximated data. These were obtained by interpolation of, or calculation from, measured data. This living data update documents the GLODAPv2.2020 methods and provides a broad overview of the secondary quality control procedures and results, Nico Lange was funded by EU Horizon 2020 through the EuroSea action (grant no. 862626). Leticia Cotrim da Cunha was supported by Prociencia/UERJ (grant no. 2019-2021). Marta Álvarez was supported by the IEO RADIALES and RADPROF projects. Peter J. Brown was partially funded by the UK Climate Linked Atlantic Sector Science (CLASS) NERC National Capability Long-term Single Centre Science Programme (grant no. NE/R015953/1). Anton Velo and Fiz F. Pérez were supported by the BOCATS2 Project (grant no. PID2019-104279GBC21) co-funded by the Spanish Government and the Fondo Europeo de Desarrollo Regional (FEDER). RikWanninkhof and Brendan R. Carter were supported by the NOAA Global Observations and Monitoring Division (fund reference 100007298) and the Office of Oceanic and Atmospheric Research of NOAA. Henry C. Bittig has been supported by the BONUS INTEGRAL project (grant no. 03F0773A). This research was also funded by the Initiative and Networking Fund of the Helmholtz Association through the project “Digital Earth” (grant no. ZT-0025), Peer reviewed

1 table, This file provides a list of mesopelagic species of cephalopods, decapods and teleostean fish, likely to occur in the northeastern Atlantic Ocean (central and north) and Mediterranean Sea, according to literature, With the institutional support of the ‘Severo Ochoa Centre of Excellence’ accreditation (CEX2019-000928-S), Peer reviewed

Examination of relevant type materials and living plants reveals that Rungia axilliflora, R. densiflora and R. evrardii are conspecific with R. stolonifera. Lectotypes are designated for the names R. evrardii and R. stolonifera., Peer reviewed

Download of the data available on the publisher platform., Diffraction images of a crystal of the F-BAR domain of PSTPIP1 (residues 1-289), mutant G258A. Data were collected on a single crystal at the beamline i03 of the Diamond Light Source synchrotron (Didcot, UK) using radiation of 0.9999 Å wavelength and a PILATUS3 6M detector. The dataset consists of 2400 images (0.15 degree oscillation per image). Crystals belong to the space group P2(1)2(1)2(1) with unit cell dimensions a=48.19 Å, b=73.02 Å, c=205.25 Å. The asymmetric unit contains an homodimer of the F-BAR domain (~53% solvent content), which is the biological unit. Diffraction data was notably anisotropic. The lowest resolution limit was 2.92 Å in the direction b* and the highest limits were 1.97 Å and 2.09 in the directions a* and c*, respectively., Peer reviewed

Download of the data available on the publisher platform., Diffraction images of a crystal of the F-BAR domain of PSTPIP1 (residues 1-289). Data were collected on a single crystal at the beamline i03 of the Diamond Light Source synchrotron (Didcot, UK) using radiation of 0.99987 Å wavelength and a PILATUS3 6M detector. The dataset consists of 3600 images (0.15 degree oscillation per image) that were collected: 2400 at one position and the other 1200 at a second site in the same crystal. Crystal belongs to the space group P2(1)2(1)2(1) with unit cell dimensions a=48.3 Å, b=71.9 Å, c=204.6 Å. The asymmetric unit contains an homodimer of the F-BAR domain (~53% solvent content), which is the biological unit. Diffraction data was notably anisotropic. The lowest resolution limit was 4.32 Å in the direction b* and the highest limits were 2.12 Å and 2.17 in the directions a* and c*, respectively., Peer reviewed

Download of the data available on the publisher platform., Diffraction images of a crystal of the F-BAR domain of human PSTPIP1 (residues 1-289, Uniprot reference O43586-1) in complex with the CTH of LYP (residues 787-807, Uniprot Q9Y2R2-1). Data were collected on a single crystal at the beamline i03 of the Diamond Light Source synchrotron (Didcot, UK) using radiation of 0.99987 Å wavelength and a PILATUS3 6M detector. The dataset consists of 3 groups, each containing of 1800 images (0.1 degree oscillation per image), collected at three different positions of the same crystal. Crystal belongs to the space group P2(1)2(1)2(1) with unit cell dimensions a=48.0 Å, b=72.0 Å, c=205.0 Å. The asymmetric unit contains an homodimer of the F-BAR domain bound to a LYP-CTH (~53% solvent content), which is the biological complex. Diffraction data was notably anisotropic. The lowest resolution limit was 4.05 Å in the direction b* and the highest limits were 2.11 Å and 2.10 in the directions a* and c*, respectively., Peer reviewed