Resultados de investigación

1 file.-- This dataset compiles information obtained during the cruise BOCATS 2016, This dataset gathers discrete measurements of CO2 (pH and alkalinity) and hydrographic variables (salinity, temperature, dissolved oxygen, nitrate, phosphate and silicate) obtained during the cruise BOCATS carried out along the OVIDE section from 17 June to 31 July 2016. pH was measured spectrophotometrically following the Clayton and Byrne (1993). This method consists on adding a dye solution to the seawater sample, so that the ratio between two absorbances at two different wavelengths is proportional to the sample pH. Alkalinity was measured using an automatic potentiometric titrator Titrando 809 Metrohm, with a Metrohm 6.0232.100 combination glass electrode and a Pt-1000 probe for temperature measurement following the methodology given by Pérez and Fraga (1987). Dissolved oxygen was analyzed following the widely applied Winkler method. Determinations of nitrate, phosphate and silicate were carried out following methods described by Hansen and Grassoff (1983) Salinity and Temperature were recorded with a CTD probe, BOCATS (CTM2013-41048-P), Peer reviewed

Peer reviewed

SPA Fitoestabilización de suelos contaminados.-- Información introducida en la base de datos WOCAT es una red global de gestión sostenible de tierras (SLM) que promueve la documentación, el intercambio y el uso del conocimiento para apoyar la adaptación, la innovación y la toma de decisiones en SLM.- El documento completo se puede ver y descargar en https://qcat.wocat.net/en/wocat/technologies/view/technologies_1272/, Introducción de plantas para la inmovilización de los elementos traza contaminantes del suelo. Las raíces de las plantas retienen el suelo, evitando que pueda ser arrastrado por la erosión hídrica o eólica. Además, las raíces pueden retener en su superficie elemento traza contaminantes del suelo, sobre todo cationes como Cd, Zn, Pb Cu o Mn, evitando que estén libres en la disolución del suelo. Es importante para que la técnica sea efectiva que la planta retenga estos elementos en el sistema radicular, y que no haya transporte de estos elementos desde la raíz a los tejidos aéreos de la planta, lo cual podría suponer un riesgo de ingestión de contaminantes por los herbívoros y la acumulación de estos contaminantes a lo largo de la cadena trófica. Para ello es preciso realizar prospecciones o ensayos previos para seleccionar las especies locales que muestren una baja acumulación de contaminantes en la biomasa aérea. Es asimismo importante que las especies usadas estén adaptadas a las condiciones ambientales locales y tengan tolerancia a la contaminación del suelo., No

This item is made of 2 files, of which 1 is the dataset in netcdf format and the other (Readme .txt) include a small description of the computed variables.-- Dataset contributed to the Project STRAMIX (STRAtification and MIXing in a coastal upwelling driven estuary, CTM2012-35155).-- Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0). The STRAMIX team appreciates that users of these data: 1) Contact Miguel Gil Coto (mgilcoto@iim.csic.es) or Nicolás Villacieros (nvrobineau@iim.csic.es) to follow the uses of the data, and 2) Include the requested acknowledgment (cite using the DOI of this dataset and please also cite Gilcoto et al. 2017) in any presentations or publications, Tidal harmonic analysis of ADCP currents from june 2013 to August 2014 in the Ría de Vigo (NW Iberia, Atlantic Ocean), STRAMIX project. Horizontal velocities were screened for errors greater than 20cm/s following Gilcoto et al., 2009. Afterwards, each of the 55 current-velocity vertical levels (75 cm bin size) were averaged every 5 minutes. Finally, the MATLAB tidal analysis package t-tide (Pawlowicz et al., 2002) was applied, level by level, to the vectorial combined horizontal velocity components. A database of ellipse parameters for the 55 levels and 53 tidal constituents (selected with a Rayleigh criteria of 1) was obtained. The length of the time series allowed us for the first time to separate S1 and K1, Funding for this study was provided by the Spanish Ministry of Economy and Competitiveness under the STRAMIX (CTM2012-35155) research project., No

This item is made of 2 files, of which 1 is the dataset in netcdf format and the other (Readme .txt) include a small description of the computed variables.-- Dataset contributed to the Project STRAMIX (STRAtification and MIXing in a coastal upwelling driven estuary, CTM2012-35155).-- Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0). The STRAMIX team appreciates that users of these data: 1) Contact Miguel Gil Coto (mgilcoto@iim.csic.es) or Nicolás Villacieros (nvrobineau@iim.csic.es) to follow the uses of the data, and 2) Include the requested acknowledgment (cite using the DOI of this dataset and please also cite Gilcoto et al. 2017) in any presentations or publications, Average directional wave spectrum from 28118 wave spectra obtained from ADCP currents between june 2013 and August 2014 in the Ría de Vigo (NW Iberia, Atlantic Ocean), STRAMIX project. Waves Monitor Software (RDI) was used to obtain the 28118 individual wave spectra. Criteria applied to compute parameters were: 20 minutes bursts with tilt and current correction every 10 minutes, maximum wave period of 28.6 s, sea-swell transition period of 7.3 s, 256 frequency bands, and 180 angles, Funding for this study was provided by the Spanish Ministry of Economy and Competitiveness under the STRAMIX (CTM2012-35155) research project, No

The item is made of 6 files: 1) Readme_Global_monthly_dataset.txt; 2) ATNNWOA13.nc is the climatological data of total alkalinity computed with NNGv2; 3) NNGv2 is the neural network object used to create the climatology; 4) NNw3RMSE is a neural network object used to evaluate the error of the network when it is trained without data beyond +-3RMSE; 5)ATNNWOA13.mp4 is a video of the surface climatology, 3 vertical sections in the Pacific Ocean, Atlantic Ocean and Indean Ocean and, the variation in depth of one month (April); 6) Example.rar contains an example matrix of inputs to the neural network, the NNGv2.mat and a MATLAB script to compute AT with NNGv2.-- The final version is in http://dx.doi.org/10.20350/digitalCSIC/8644, Dataset for the article https://doi.org/10.5194/essd-11-1109-2019, This research was supported by Ministerio de Educación, Cultura y Deporte (FPU grant FPU15/06026), Ministerio de Economía y Competitividad through the ARIOS (CTM2016-76146-C3-1-R) project co-funded by the Fondo Europeo de Desarrollo Regional 2014-2020 (FEDER) and EU Horizon 2020 through the AtlantOS project (grant agreement 633211), ATNNWOA13.nc.-- NNGv2.-- NNw3RMSE.-- ATNNWOA13.mp4.-- Example.rar.-- Readme file, Peer reviewed

The dataset contains 1) bibliographic data from all published literature on genetic association (GWAS) in barley; 2) methodological data on procedures of analysis, traits analyzed, size of genotypic and molecular marker panels; 3) marker and trait information, including genome position (physical and genetic), extracted by the authors from the articles and from the barley reference genome sequence. The set of 144 articles were downloaded from the Web of Science and Scopus databases using appropriate keywords, and selected after inspection by the authors., © The Authors. Creative Commons License Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)., Dataset summarizing procedures and main findings of all studies to date devoted to genome-wide association studies in barley., Funding from grant “Descubrimiento y aplicación de QTL, genes y caracteres para la mejora genética de la cebada. Mecanismos de adaptación al clima”. Funding agency: MINECO, AGL2016-80967-R, Plan Nacional I+D+I (Ciencias Agrarias). Ernesto Igartua Arregui – Ana Mª Casas Cendoya., Peer reviewed

Soil fauna play a key role in nutrient cycling and decomposition, and in recent years researchers have become more and more interested in this compartment of terrestrial ecosystems. In addition, soil fauna can act as ecosystem engineers by creating, modifying and maintaining the habitat for other organisms. Ecologists usually utilize alive catches in pitfalls traps as a standard method to study the activity of epigeic fauna in addition to relative abundance. Counts in pitfall traps can be used as estimates of relative activity to compare among experimental treatments. This requires taking independent estimates of abundance (e.g.: by sifting soil litter, mark-recapture), which can then be used as covariates in linear models to compare the levels of fauna activity (trap catches) among treatments. However, many studies show that the use of pitfall traps is not the most adequate method to estimate soil fauna relative abundances, and these concerns may be extensible to estimating activity. Here, we present two new types of traps devised to study activity in litter fauna, and which we call “cul-de-sac” and “basket traps” respectively. We experimentally show that, at least for litter dwellers, these new traps are more appropriate to estimate fauna activity than pitfall traps because: 1) Pitfall traps contain 3.5x more humidity than the surrounding environment, potentially attracting animals towards them when environmental conditions are relatively dry, 2) cul-de-sac and basket traps catch ca. 4x more both meso- and macrofauna than pitfall traps, suggesting that pitfall traps are underestimating activity; and 3) pitfall traps show a bias towards collecting 1.5x higher amounts of predators, which suggests that predation rates are higher within pitfall traps. We end with a protocol and recommendations for how to use these new traps in ecological experiments and surveys aiming at estimating soil arthropod activity., This work was funded by grants CGL2010-18602 and CGL2015-66192-R from the Spanish Ministerio de Economía y Competitividad (European funds FEDER), 020/2008 Spanish Organismo Autónomo de Parques Nacionales and P12-RNM-1521 from Junta de Andalucía (European funds FEDER), Peer reviewed

The dataset is freely available on the web repository of the Spanish National Research Council (CSIC). There are 12 files in NetCDF format: 3 with maximum temperature estimations and 3 minimum temperatures. Each of 3 files represent peninsular Spain (_pen), Balearic islands (_bal) and Canary islands (_can). Same files exist for the uncertainty estimates., Spanish TEmperature At Daily scale (STEAD) is a new daily gridded maximum and minimum temperature dataset for Spain. It covers the whole territory of peninsular Spain and Balearic and Canary Islands at a 5x5 kilometre spatial resolution. Daily temperature was estimated for each point of the grid from 1901-01-01 to 2014-12-31 in peninsular Spain and from 1971-01-01 to 2014-12-31 in the Balearic and Canary Islands. The grid was built using a previously reconstructed station-based dataset. The observed temperature information comprised more than 5,000 stations provided by Spanish Meteorological Agency (AEMET) and Ministry of Agriculture and Environment (MAGRAMA)., Ministerio de Economía y Competitividad (MINECO): CGL2015-69985-R and CGL2017-83866-C3-3-R, Ministerio de Ciencia, Innovación y Universidades: FJCI-2017-31595, No

Supporting raw data for the article entitled "Real space manifestations of coherent screening in atomic scale Kondo lattices", to be accepted by Nature Communications, Financial support was provided by the Spanish Plan Nacional de I+D+i (grants MAT 2013-46593-C6-3-P, MAT2016-78293-C6-6-R, MAT2015-66888-C3-2-R and FIS2015-64886-C5-3-P), Charles University (programme PRIMUS/Sci/09) and the European Union through programmes Interreg-POCTEFA (Grant TNSI/EFA194/16) and H2020-EINFRA-5-2015 MaX Center of Excellence (Grant No. 676598). MML, MP and DS acknowledge the use of SAI at Universidad de Zaragoza. RR acknowledges The Severo Ochoa Centers of Excellence Program (Grant No. SEV-2017-0706) and Generalitat de Catalunya (Grant No. 2017SGR1506 and the CERCA Programme)., Peer reviewed