Resultados de investigación

UE, programa H2020, Proyecto AMPHIBIAN n º 720853, Peer reviewed

The Global 0.5° gridded SPEI dataset is made available under the Open Database License. Any rights in individual contents of the database are licensed under the Database Contents License. Users of the dataset are free to share, create and adapt under the conditions of attribution and share-alike. The Global SPEI database, SPEIbase, offers long-time, robust information on the drought conditions at the global scale, with a 0.5 degrees spatial resolution and a monthly time resolution. It has a multi-scale character, providing SPEI time-scales between 1 and 48 months. The Standardized Precipitatin-Evapotranspiration Index (SPEI) expresses, as a standardized variate (mean zero and unit variance), the deviations of the current climatic balance (precipitation minus evapotranspiration potential) with respect to the long-term balance. The reference period for the calculation, in the SPEIbase, corresponds to the whole study period. Being a standardized variate means that the SPEI condition can be compared across space and time. Calculation of the evapotranspiration potential in SPEIbase is based on the FAO-56 Penman-Monteith method. Data type: float; units: z-values (standard deviations). No land pixels are assigned a value of 1.0x10^30. In some rare cases it was not possible to achieve a good fit to the log-logistic distribution, resulting in a NAN (not a number) value in the database. Dimensions of the dataset: lon = 720; lat = 360; time = 1356. Resolution of the dataset: lon = 0.5º; lat = 0.5º; time = 1 month. Created in R using the SPEI package (http://cran.r-project.org/web/packages/SPEI)., Global gridded dataset of the Standardized Precipitation-Evapotranspiration Index (SPEI) at time scales between 1 and 48 months.-- Spatial resolution of 0.5º lat/lon.-- This is an update of the SPEIbase v2.4 (http://digital.csic.es/handle/10261/128892).-- What’s new in version 2.5: 1) Data has been extended to the period 1901-2015 (it was 1901-2014 in v 2.4), based on the CRU TS3.24.01 dataset. 2) A bug on versions 2.2 to 2.4 of the dataset has been corrected that prevented correctly reading the ETo data in mm/month-- For more details on the SPEI visit https://spei.csic.es/., This work was not supported by any external funding., No

The dataset reports 1) Bibliographic information of each original publication of exotic species impact; 2) number of replicates for controls and experimental treatments; 3) mean ± SD of control and experimental treatments; 4) Hedges’ g effect size and variation of impact; 5) Descriptive information of the recipient sites including latitude, longitude, depth; 6) Descriptive information of the study, including whether it was mensurative of manipulative in the field or laboratory, the level of organization of recorded impacts and the response variable; 7) Descriptive information of the exotic species, including species name, taxonomic group and trophic level; 8) Descriptive information on the recipient species, including taxonomic group and trophic level; 9) Thermal characterization of the recipient site; 10) Latitudinal and thermal characterization of the exotic species range of origin (RO); 11) Characterization of warming projections in the recipient site under RCP4.5 and RCP8.5 projections., Author contributions: S.B, J.S-G, N.M and C.M.D. conceived and designed the study. A.A., N.R.G., C.E.L., E.T.A., J.C., D.K-J., N.M., P.M., J.M.P., and J.S-G. constructed the exotic species impacts data set. S.B. and J.S-G., compiled the exotic species range-of-origin dataset and G.J. compiled and analyzed the observed and projected ocean temperature data. S.B. and J.S-G performed the data analyses with contributions from all coauthors., Here we provide data on the ecological impacts of exotic marine species on recipient native ecosystems and characterise the thermal niche of both the recipient sites and each exotic species range of origin (RO). In addition, we provide the summertime warming trajectories of the recipient sites under RCP4.5 and RCP8.5 emission scenarios. Together, this dataset characterises the ecological impacts of exotic marine species and the climatic context under which these impacts occur. Overall this database represents 108 studies that have measured impacts of exotic species on recipient marine ecosystems where they were introduced, encompassing 748 observations from 80 sites and 50 species, ranging from primary producers (e.g. seagrass, macroalgae) to predators (e.g. fish, crustaceans, annelids)., S.B. received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 659246. S.B., J.S-G and N.M. received funding from the Spanish Ministry of Economy, Industry and Competitiveness (MedShift, CGL2015-71809-P) and Fundación BBVA (project Interbioclima). J.M.P. received funding from the Australian Research Council Centre of Excellence for Coral Reef Studies (CE140100020). D.K.-J. received funding from the Independent Research Fund Denmark (CARMA; 8021-00222B)., Peer reviewed

Peer reviewed

[EN] Dataset of publicly available biodiversity information of mosses records for the Iberian Peninsula (mainland Portugal and Spain, plus the Balearic Islands, Andorra and Gibraltar). It contains 82,582 occurrences result of the compilation, cleaning, enrichment and validation from the Global Biodiversity Information Facility (GBIF; Access on 8 August 2018 for Spain and Portugal, and 9 October 2018 for Andorra and Gibraltar; phylum=Bryophyta), and 2 available PhD catalogues of Spain (Cezón, K. & Muñoz J.(2013). Catálogo de los musgos de Castilla La Mancha (España), J. Bol. Soc. Esp. Briol. 40-41:15-41; and Medina, N.G.; Mazimpaka, V.; Hortal, J. & Lara (2015). Catálogo de los briófitos epífitos que crecen en bosques de quercíneas del cuadrante noroccidental ibérico’, F. Bol. Soc. Esp. Briol. 44-45: 1-30.). This database was created to assess and quantify the knowledge of the distribution information of Iberian mosses and defining their biases and gaps., [ES] Conjunto de datos con los 82512 registros disponibles públicamente de presencias de musgos en la península Ibérica (incluyendo Portugal y España peninsular con las Islas Baleares, Andorra y Gibraltar). Son el resultado de la compilación, limpieza, validación y enriquecimiento de datos presentes en el portal de datos de biodiversidad 'Global Biodiversity Information Facility' (GBIF; Acceso el 8 agosto 2018 para España y Portugal, y 9 octubre 2018 para Andorra y Gibraltar; phylum=Bryophyta) y los catálogos de Cezón, K. y Muñoz J. (2013). Catálogo de los musgos de Castilla La Mancha (España), J. Bol. Soc. Esp. Briol. 40-41:15-41; y Medina, N.G.; Mazimpaka, V.; Hortal, J. & Lara (2015). Catálogo de los briófitos epífitos que crecen en bosques de quercíneas del cuadrante noroccidental ibérico’, F. Bol. Soc. Esp. Briol. 44-45: 1-30.). Esta base de datos fue creada con el objetivo de realizar análisis de sesgos y déficits de conocimiento en los musgos de la península Ibérica (Ronquillo et al, not published)., This work is part of the project UNITED Unifying niches, interactions and distributions: A common theoretical framework for geographic range dynamics and local coexistence (CGL2016-78070-P, funded by AEI/FEDER, UE)., Peer reviewed

This dataset is composed of 2 files. Main one is the data set itself (arios_database_hy1.csv) in WHP-Exchange bottle format, with 1421 samples of temperature, salinity, oxygen, nutrients, pH, alkalinity, and chlorophyll. The other file (readme_ARIOSDATABASE.txt) includes a short description of the the database and calculated variables, The ARIOS project (Acidification in the Rias and the Iberian Continental Shelf) included among its tasks the compilation and analysis of the historical record of the measurements of the carbon system and associated parameters carried out by the Instituto de Investigaciones Mariñas (IIM-CSIC) in Vigo (Spain) that gathers 3,343 oceanographic stations and 17,653 discrete samples between 1976 and 2018, This unique collection that gathers biogeochemical data from 24 oceanographic projects and cruises between 40º N and 45º N, 11ºW and the Galician coast in the last 40 years is a departure point to evaluate the acidification in the Galician coastal upwelling system. All ARIOS measurements passed a first quality control of hydrographic data through the specific software of the GO-SHIP program (Global Program of Hydrographic Investigations in Oceanographic Ships) that compiles various quality control procedures (Velo et al., 2019). The database also displays a quality indicator for each measurement. The different methodologies used in the ARIOS database changed over time following the scientific and technical advances in chemical oceanography from 1976 to 2018. The most important changes are as follows: Temperature: - From 1976 to 1984, the temperature measured with a Wallace and Tiernan bathylograph - From 1984 to 1990, inverted thermometers were used, correcting the temperature with protected and unprotected thermometers according to Anderson (1974). - After 1990, different CTD models were used to obtain the thermohaline profile. Salinity: - Salinity measurements were made with an AUTOSAL 8400A inductive salinometer calibrated with normal IAPSO water and using the equations provided by UNESCO (1981). The estimated analytical error was 0.003. Oxygen: - In 1981, the oxygen concentration was measured by first time using the Winkler's titration method following Culberson et al. (1991) - During the 80s and early 90s, the titration was performed with Metrohm instruments (E-425 or E-473) with an analytical error of 1 μmol kg-1. - After 1997, the oxygen concentration was estimated using a Titrino 720 analyzer (Metrohm) with an accuracy of 0.5 μmol kg-1. Nutrients: - Nitrate: Measured with an ALPKEM autoanalyzer as described in Strickland and Parsons (1968) using Cd-Cu reduction (Mouriño and Fraga 1985). Accuracy of 0.1 μmol / kg. - Phosphate: Measured with an ALPKEM autoanalyzer following Hansen and Grasshof (1983) and achieving an accuracy of 0.01 μmol / kg, - Silicate: Measured with an ALPKEM autoanalyzer following Hansen and Grasshof (1983) and achieving an accuracy of 0.05 μmol / kg. Total alkalinity: - In 1981, alkalinity was measured for the first time by potentiometric titration with 0.1N HCl at final pH 4.44, following Pérez and Fraga (1987a) with an analytical error of 2 μmol / kg and an accuracy of 0.1%. - Beginning in 2001, certified reference material (CRM) samples provided by Dr. A. Dickson from the University of California were used in the alkalinity analysis that improved the accuracy to ± 1.4 μmol/kg and accuracy to <0.1%. pH: - From 1976 to 1986, the pH was measured with a Metrohm E-510 pH instrument with a glass and reference reference Ag/ClAg calibrated with 7.413 NBS buffer. All pH values ​​were converted to values ​​at 15 ºC using two different temperature corrections: 1) between 1976 and 1984, the Buch and Nynas tables published by Barnes (1959) and 2) between 1984 and 1986 following Pérez and Fraga (1987 ). - From 1976 to 2001, pH was measured with a Metrohm E-654 pH meter with Orion 81-04 Ross combined glass electrode. The pH was converted to SWS scale using the hydrogen activity coefficient provided by Mehrbach et al. (1973) at 25ºC with the parameterization given by Pérez and Fraga (1987b). The error of the potentiometric method was 0.010. - After 2001, the pH measurements were spectrophotometric following Clayton and Byrne (1993) and subsequently adding 0.0047 to the pH value to do so (DelValls and Dickson, 1998). The precision of the spectrophotometric measurements was 0.003 pH units. Chla: - Chla was measured using a Turner 10000R fluorometer. Between 1976 and 1984 on Schleicher and Scholl 602eh filters of 6 cm in diameter and later with Whatman GF / C filters of 2.5 cm. The precision was 0.05 g / L, CSIC y Plan Nacional de I+D del Gobierno de España, 1 data csv ‘ARIOSDATABASE.csv’ file and 1 readme.txt file, Peer reviewed

The database provides measurements of carbon system parameters in water samples collected at 3 stations that form the marine time series GIFT during 12 oceanographic campaigns conducted over 2008-2015. Some physical data (i.e. pressure, temperature and salinity) are also included., During the cruises, a temperature and salinity profile was obtained with a Seabird 911 Plus CTD probe. The accuracy of CTD measurements for temperature and salinity were 0.004 ºC and 0.005, respectively. Seawater was subsequently collected for biogeochemical analysis using Niskin bottles immersed in an oceanographic rosette platform at variable depths (from 5 to 8 levels) depending on the instant position of the interface between the Atlantic and Mediterranean flows that was identified by CTD profiles. The biogeochemical variables shown in the database are Dissolved Organic Carbon (DOC), Dissolved Oxygen (DO) and inorganic nutrients (nitrate, NO3−; Silicate, SiO44−; phosphate, PO43-). DO concentration was obtained through automated potentiometric modification of the original Winkler method using the Titroprocessor. Upon collection, flasks were sealed, stored in darkness and measured within 24 h, with an accuracy of 0.5 micromol/kg. Seawater samples for DOC determination were collected in 0.25 L acid–cleaned glass bottles and immediately filtered through precombusted (450 °C, 4 h) Whatman GF/F filters with an acid–cleaned all–glass filtration system previously rinsed with about 50 mL of the sample. Aliquots of 20 mL were collected for DOC analysis in precombusted (450 °C, 12 h) 24 mL glass vials. After acidification with H3PO4 (85%) to pH <2, they were sealed with Teflon-lined caps and stored in the dark at 4 °C until analysed in the shore-based laboratory with a commercial Shimadzu TOC-VCPH organic carbon analyser according to Alvarez-Salgado & Miller (1998). Water samples (5 mL, two replicates) for inorganic nutrients determination were collected, filtered immediately (Whatman GF/F, 0.7 μm) and stored frozen for later analyses in the shore-based laboratory with a continuous flow auto-analyzer using standard colorimetric techniques (Hansen & Koroleff 1999). Chlorophyll analysis was conducted by filtering 0.5 L samples through Whatman GF/F filters, extracting in 90% acetone, and measuring concentration by standard fluorometric methods (Parsons et al., 1984) using a Turner Designs Model 10 fluorometer., The data is provided as [space] delimitated plain text file within a compressed folder that also includes a single README file (in PDF format) containing a detailed description of the data structure., The dataset is subject to a Creative Commons License Attribution-ShareAlike 4.0 International., [General Notes] The data are provided under an Attribution-ShareAlike 4.0 International license. However, if you use the data, so as to support the authors, please consider citing the above mentioned article where data collection and analytical techniques are given in detail. Here we only give a brief details and a guide to the contents of the data files. Data files are in UTF8 encoding, plain text format with comma used as the delimiter. All data files have column titles as the first line. One column is written for each measured parameter. Missing data are filled with -9. All variables but temperature have a quality flag associated with them. The values each digit can assume and their meanings follows:, Quality Indicators: Flag Meaning, 1 not quality controled, 2 good data, 3 suspect (i.e. questionable) data, 4 bad data, 5 missing data, 9 variable not measured during this cast., [Biogeochemical variables] GIFT_dissolved_organic_carbon_2008-2015.csv provides data from cruises conducted between 2008 and 2015. Temperature and salinity were measured in situ with a Seabird 911 Plus CTD probe. Concentrations of oxygen, dissolved organic carbon, chlorophyll and dissolved nutrients were measured in the laboratory., This data set includes data collected between 2008 and 2015 that have been used to estimate the exchange of dissolved organic carbon between the Atlantic Ocean and the Mediterranean Sea through the Strait of Gibraltar (Long:-5.345, Lat: 36.137, Datum:WSG84) and to assess the seasonality of the fluxes., This research was supported by the COMFORT project that has 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).” Other European grants providing financial support were CARBOOCEAN (FP6-511176), CARBOCHANGE(FP7-264879), SESAME (FP6-036949) and PERSEUS (FP7-287600)., Peer reviewed

Refers to: Chuqiao Xiao, Mouming Zhao, Feibai Zhou, Marta Gallego, Jie Gao, Fidel Toldrá, Leticia Mora. Isolation and identification of alcohol dehydrogenase stabilizing peptides from Alcalase digested chicken breast hydrolysates. Journal of Functional Foods 64:103617 (2020), Bioactive peptides have attracted extensive attention worldwide as natural alternatives to promote human health and wellness. Previous studies have shown that chicken hydrolysates could enhance alcohol dehydrogenase, and subsequently they facilitate alcohol metabolism and ameliorate alcohol-induced liver injury. The data presented in this article support the accompanying research article “Isolation and identification of alcohol dehydrogenase stabilizing peptides from Alcalase digested chicken breast hydrolysates”. Present article details all 82 peptides identified from the most active fractions of chicken hydrolysates, and 154 peptides from in silico digestion of the 82 identified peptides, together with the prediction of their potential bioactivity and applicability using several in silico assays., This work was supported by Grant AGL2017-89381-R and FEDER funds from the Spanish Ministry of Economy, Industry and Competitiveness, the National Natural Science Foundation of China (No. 31701539 and No.31871746) and the Natural Science Foundation of Guangdong Province (No. 2017A030313127). We also thank Ramón y Cajal postdoctoral contract by L.M. and the China Scholarship Council (CSC) research program for providing funding for C. X., Peer reviewed

[ES] Se identifican 50 plataformas editoriales de revistas electrónicas de las universidades españolas y el Consejo Superior de Investigaciones Científicas (CSIC). Se aportan datos cuantitativos sobre el número de revistas publicadas, su antigüedad y vigencia, disciplinas cubiertas, número de artículos editados en 2019, tipos de revistas por tamaño, porcentaje de textos en inglés, número de casos de coedición, presencia en los índices de citas Web of Science y Scopus, así como cantidad de revistas que han obtenido el Sello de calidad de la Fecyt. La producción editorial de las universidades españolas y el CSIC se dispersa en numerosos títulos con un escaso número de artículos, problema acrecentado por la continua aparición de nuevas revistas. Estas publicaciones se concentran especialmente en disciplinas de Ciencias Sociales y Humanidades. La situación actual muestra que prácticamente la mitad de las revistas de estas plataformas están indexadas en alguno de los índices de citas (sobre todo en ESCI, una base de datos secundaria dentro de WoS), pero solo una cuarta parte de ellas ha obtenido el Sello de calidad de la Fecyt. Del análisis se derivan algunas recomendaciones para la mejora de los portales institucionales para sus publicaciones periódicas., [EN] This report identifies 50 editorial platforms for electronic journals from Spanish universities and CSIC (Spanish National Research Council). Quantitative data are provided on the number of journals published, their life and upgrade, disciplines covered, number of articles edited in 2019, types of journals by size, percentage of texts in English, number of co-edition cases, indexation in Web of Science and Scopus databases, as well as the number of journals that have obtained the Fecyt Quality seal. The editorial production of the Spanish universities and CSIC is dispersed in numerous titles with a small number of articles, a problem increased by the continuous appearance of new titles. These journals focus especially on disciplines of Social Sciences and Humanities. The current situation shows that practically half of the journals on these platforms are selected in one of the citation indexes (especially in ESCI, a secondary database within WoS), but only a quarter of them have obtained the Fecyt Quality seal. From the analysis, some recommendations are derived for the improvement of institutional portals for their periodicals., No

The dataset is made available under the Open Database License. Any rights in individual contents of the database are licensed under the Database Contents License. Please, read the full ODbL 1.0 license text for the exact terms that apply. Users of the dataset are free to: Share: copy, distribute and use the database, either commercially or non-commercially. Create: produce derivative works from the database. Adapt: modify, transform and build upon the database. Under the following conditions: Attribution: You must attribute any public use of the database, or works produced from the database. For any use or redistribution of the database, or works produced from it, you must make clear to others the license of the original database. Share-Alike: If you publicly use any adapted version of this database, or works produced from an adapted database, you must also offer that adapted database under the ODbL., A) Mass Spectrometry-RAW data01. Band_A.xml (5,598 KB)02. Band_A.mgf (330 KB)03. Band_B.xml (16,784 KB)04. Band_B.mgf (1,004 KB)05. Band_C.xml (12,719 KB)06. Band_C.mgf (760 KB)07. Band_D.xml (22,514 KB)08. Band_D.mgf (1,347 KB)NOTE: Files with .mgf are adequate for interrogate in MS/MS Mascot Search Engine (www.matrixscience.com) B) Electrophoresis images - Normal meat (OFFGEL)09. Duplicate_1-1.tif (350 KB)10. Duplicate_1-2.tif (347 KB)11. Duplicate_2-1.tif (327 KB)12. Duplicate_2-2.tif (308 KB) 13. Duplicate_3-1.tif (426 KB)14. Duplicate_3-2.tif (343 KB)15. Duplicate_4-1.tif (359 KB)16. Duplicate_4-2.tif (342 KB)17. Duplicate_5-1.tif (425 KB)18. Duplicate_5-2.tif (384 KB)19. Duplicate_6-1.tif (435 KB)20. Duplicate_6-2.tif (392 KB)B) Electrophoresis images - DFD meat (OFFGEL)21. Duplicate_7-1.tif (343 KB)22. Duplicate_7-2.tif (402 KB)23. Duplicate_8-1.tif (356 KB)24. Duplicate_8-2.tif (320 KB)25. Duplicate_9-1.tif (383 KB)26. Duplicate_9-2.tif (353 KB)27. Duplicate_10-1.tif (417 KB)28. Duplicate_10-2.tif (346 KB)29. Duplicate_11-1.tif (336 KB)30. Duplicate_11-2.tif (408 KB)31. Duplicate_12-1.tif (373 KB)32. Duplicate_12-2.tif (367 KB), Peer reviewed