Resultados de investigación

Transient Stability Constrained Optimal Power Flow (TSCOPF) is a nonlinear optimization problem used to perform economic dispatches while ensuring transient stability. This paper proposes a multi-contingency TSCOPF model that retains the dynamics of all generators and includes a transient synchronous generator dq-axis model. Program write_tscopf.py automatically reads the system data from standard PSSE raw files, builds the TSCOPF model tscopf.gms on high-level modelling system GAMS and solves it using a non-heuristic Interior Point algorithm. This approach facilitates the application of the model to a variety of systems and scenarios. Data for the New England 39 Bus System and the IEEE 118 Bus system are included.

The item is made of 2 files, of which 1 is the dataset and the other include a small description of the measured variables.-- Dataset contributed to the Project Carbochange, 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 CAIBOX 2009 carried out from 25 July to 13 August 2009. 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, Spanish Project CAIBEX supported by Ministerio de Eduación y Ciencia (CTM2007–66408–C02–01/MAR), CARBOOCEAN (511176GOCE), CAIBOX_2009.csv.-- Metadata_CAIBOX_2009.xls.-- CAIBOX_2009_map.jpg.-- Readme_Caibox_2009.txt, Peer reviewed

The item is made of 2 files, of which 1 is the dataset and the other include a small description of the measured variables.-- Ríos, Aida F. ... et al.-- Dataset contributed to the Project Carbochange, 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 CATARINA carried out along the OVIDE section from 23 June to 20 July 2012. 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, CATARINA (CTM2010-17141), CARBOCHANGE, Catarina_2012.exc.csv.-- Metadata__CATARINA_2012.xls.-- Readme_Ovide_2012.txt, Peer reviewed

Supplementary Figures showing results for every Ancestral State Reconstruction analysis performed for discrete and continuous characters, This work was supported by the grant CGL2013-40924-P to David Vieites from the Ministerio de Economía y Competitividad, and a FPU predoctoral fellowship from the Ministerio de Educación to Raquel Ponti, No

1 file, This dataset compiles information regarding diverse physiological variables of two mussel species under different experimental treatments, Ministerio de Ciencia e Innovación (project AGL2010-16464). Xunta de Galicia-FEDER (GRC2013-004)., No

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

Supplementary Tables: Table S1. Taxonomical classification of the bacterial species isolated from solar panel samples according to 16S rDNA sequence similarity. Table S2. Summary of sequencing statistics from the 16S/18S profile analysis. Table S3. Summary of sequencing statistics from the shotgun metagenomic sequencing of solar panels 1 and 3 in 2014. Table S4. Differentially expressed proteins between day- and night-collected samples., Supplementary Figures: Figure S1. Microbial colonies growing on LB incubated at room temperature for two weeks (A). Case example of growth restoration in nearby-grown isolates under conditions of extreme pH. A local buffering of the pH of the plate is observed (B). Figure S2. Stress tests results data matrix. The growth of the 53 strains isolated from the solar panels under particular stress conditions was compared to that of a control strain (XL1-Blue E. coli strain). Green colour (from light to dark) indicates better growth than the control (from slightly to strongly better growth). Symbols ‘+’ indicate cases of growth restoration by another isolate. Two independent experiments were performed for each test. Strains are numbered according to Table S1. Figure S3. Taxonomic diversity of one of the panels (panel 1) sampled in the summer solstice of 2014 as deduced from shotgun metagenomic sequencing., Peer reviewed

NSCdata: This database contains seasonal non-structural carbohydrates data (NSC; including total NSC, starch and soluble sugars) for terrestrial land plants (global scope), and it is based on a compilation of data from the literature. We selected only data that fulfilled the following criteria: (1) study duration was at least four months, (2) the same individuals or populations were measured at least three times spanning the length of the study, (3) plants were mature, (4) measurements were taken on leaves, stems, or belowground organs, (5) tissue was not bark, phloem or cortex, (6) values reported were total NSC, starch/fructans or soluble sugars, and (7) species were land plants (i.e., saltwater and freshwater species were not included)., NSCdata_sources: This file lists the sources of all the individual datasets included in our final NSC database (”NSCdata_DRYAD.csv” file)., Plants store large amounts of non-structural carbohydrates (NSC). While multiple functions of NSC have long been recognized, the interpretation of NSC seasonal dynamics is often based on the idea that stored NSC is a reservoir of carbon that fluctuates depending on the balance between supply via photosynthesis and demand for growth and respiration (the source-sink dynamics concept). Consequently, relatively high NSC concentrations in some plants have been interpreted to reflect excess supply relative to demand. An alternative view, however, is that NSC accumulation reflects the relatively high NSC levels required for plant survival; an important issue that remains highly controversial. Here, we assembled a new global database to examine broad patterns of seasonal NSC variation across organs (leaves, stems and belowground), plant functional types (coniferous, drought deciduous angiosperms, winter deciduous angiosperms, evergreen angiosperms, and herbaceous) and biomes (boreal, temperate, Mediterranean and tropical). We compiled data from 123 studies, including seasonal measurements for 179 species under natural conditions. Our results showed that, on average, NSC account for ~10% of dry plant biomass and are highest in leaves and lowest in stems, whereas belowground organs show intermediate concentrations. Total NSC, starch and soluble sugars (SS) varied seasonally, with a strong depletion of starch during the growing season and a general increase during winter months, particularly in boreal and temperate biomes. Across functional types, NSC concentrations were highest and most variable in herbaceous species and in conifer needles. Conifers showed the lowest stem and belowground NSC concentrations. Minimum NSC values were relatively high (46% of seasonal maximums on average for total NSC) and, in contrast to average values, were similar among biomes and functional types. Overall, although starch depletion was relatively common, seasonal depletion of total NSC or SS was rare. These results are consistent with a dual view of NSC function: whereas starch acts mostly as a reservoir for future use, soluble sugars perform immediate functions (e.g., osmoregulation) and are kept above some critical threshold. If confirmed, this dual function of NSC will have important implications for the way we understand and model plant carbon allocation and survival under stress., Peer reviewed

Anàlisis geoquímiques i fotos de visu i microscòpia de les mostres que integren la col·lecció de geostandards del Museu de Geologia Valentí Masachs (UPC Manresa). Análisis geoquímicas y fotos de visu y microscopio de las muestras que integran la colección de geostandares del Museo de Geología Valentí Masachs (UPC Manresa). Geochemical analyses and hand and microscopy pictures of the samples belonging to the geostandards collection of the Valenti Masachs Geology Museum (UPC Manresa). Analyses géochimiques et photographies au microscope et visu des échantillons qui forment la collection de geostandards du Musée de Géologie Valentí Masachs (UPC Manresa).

Ministerio de Ciencia e Innovación R&D [proyecto número PSI2011-24370], Proyecto de Excelencia 2012 con nº P12-SEJ-560 de la Junta de Andalucía