Resultados de investigación

Plant functional traits underlie vegetation responses to environmental changes such as global warming, and consequently influence ecosystem processes. While most of the existing studies focus on the effect of warming only on species diversity and productivity, we further investigated (i) how the structure of community plant functional traits in temperate grasslands respond to experimental warming, and (ii) whether species and functional diversity contribute to a greater stability of grasslands, in terms of vegetation composition and productivity. Intact vegetation turves were extracted from temperate subalpine grassland (highland) in the Eastern Pyrenees and transplanted into a warm continental, experimental site in Lleida, in Western Catalonia (lowland). The impacts of simulated warming on plant production and diversity, functional trait structure, and vegetation compositional stability were assessed. We observed an increase in biomass and a reduction in species and functional diversity under short-term warming. The functional structure of the grassland communities changed significantly, in terms of functional diversity and community-weighted means (CWM) for several traits. Acquisitive and fast-growing species with higher SLA, early flowering, erect growth habit, and rhizomatous strategy became dominant in the lowland. Productivity was significantly positively related to species, and to a lower extent, functional diversity, but productivity and stability after warming were more dependent on trait composition (CWM) than on diversity. The turves with more acquisitive species before warming changed less in composition after warming. Results suggest that (i) the short-term warming can lead to the dominance of acquisitive fast growing species over conservative species, thus reducing species richness, and (ii) the functional traits structure in grassland communities had a greater influence on the productivity and stability of the community under short-term warming, compared to diversity effects. In summary, short-term climate warming can greatly alter vegetation functional structure and its relation to productivity., Dades primàries associades a un article publicat a la revista Plos One disponible a l'adreça https://doi.org/10.1371/journal.pone.0141899

Table 1. Association between empathy and sociodemographic variables and burnout. Fig 1. Association between burnout and empathy and sick leave prescription and duration. Supporting Information: S1 Table. Variable Definition of the Study. File with all the variable definition. S2 Table. Table with all data of professionals of the study., Dades primàries associades a un article publicat a la revista Plos One disponible a l'adreça https://doi.org/10.1371/journal.pone.0133379

Indian Art Music Melodic Similarity Dataset comprises audio excerpts and manually done annotations of the melodic phrases in Carnatic and Hindustani music. This dataset can be used to develop and evaluate approaches for computing melodic similarity between short-time melodic patterns in Indian art music. This dataset is divided into two parts, one for Carnatic music (CMD), and the other for Hindustani music (HMD). For more information about the dataset we refer to Chapter 3 of this thesis: http://hdl.handle.net/10803/398984.

Research data from the thesis Structure of lexicon in the automatic acquisition of lexical information. MONO-DATASETS: contains files of the single-sense English data sets extracted for each lexical semantic class studied in the thesis (COMMUNICATION_OBJECT, EVENT, HUMAN, LOCATION and ORGANIZATION). Each data set contains a list of nouns and their class membership information; and (ii) LEXICO-SYNTACTIC-REs: contains files of the linguistic cues and corresponding lexical-syntactic patterns formalized as Regular Expressions for each of the single-sense English lexical semantic classes studied in this thesis (COMMUNICATION_OBJECT, EVENT, HUMAN, LOCATION and ORGANIZATION). This folder also contains a file of the unmarked contexts that were identified, as well as their corresponding lexical-syntactic patterns formalized as Regular Expressions.

Corpus d'anàlisi utilitzat en l'estudi lexicomètric de la tesi doctoral "Morales A. Estudi lexicomètric del vocabulari del procés d'aprovació de l'Estatut d'autonomia de Catalunya (2006) [tesi]. Barcelona: Universitat Pompeu Fabra; 2015. 600 p.".

A needle-plot (aka stem-plot or lollipop-plot) plots each data point as a big dot and adds a vertical line that makes it appear like a needle.

Turkish şarkı vocal dataset is a collection of recordings of compositions from the vocal form şarkı. The recordings/nare selected from a musicBrainz collection of Turkish music/n/nhttp://musicbrainz.org/collection/544f7aec-dba6-440c-943f-103cf344efbb /n/nThe collection has annotations with lyrics. Each lyrical phrase is aligned to its corresponding segment in the audio.

This repository contains the necessary tools to reproduce the experiments of the paper: G. Santatmaría, V. Gómez (2015) Convex inference for community discovery in signed networks. NIPS 2015 Workshop: Networks in the Social and Information Sciences ------The method first maps the MAP problem on the Potts model as a hinge-loss minimization problem (see the paper for details). To run the code you need to install psl (included here) and if you want to additionally compare with other inference methods, such as max prod belief propagation or junction tree, you need to install the libDAI library (also included here) --------The directory europeanCongressData/ (~500 Mb) contains the votings of the EU parlament, including 300 votings events from the actual term, from May 2014 to June 2015, obtained from http://www.votewatch.eu/ * data/ : json files with the european votes * network.net : signed network built from the votes * political_parties.txt : "ground truth" party * community_results/ : results for different number of communities and initial vertices * dataComputations.py : used to build the signed network * dataProcessing.py : used to build the signed network We would appreciate if you cite the paper after using the data or the code. --------DEPENDENCIES-------- The code has been tested in Linux Mint 18.1 Serena and Ubuntu 14.04 - For PSL library, you need to have java 1.8 you may need to export JAVAHOME='/usr/lib/jvm/YOURJAVA1.8FOLDER' maven 3.x - For libDAI you will need: make doxygen graphviz libboost-dev libboost-graph-dev libboost-program-options-dev libboost-test-dev libgmp-dev cimg-dev libgmp-dev --------CODE TO RUN THE FOLLOWING EXPERIMENTS:-------- Compare the performance in terms of structural balance of max prod bp and our method against an exact inference method (junction tree), with different number of communities --------INSTALL-------- To install the experiments you have to follow the next steps: 1 Build the libdai library by doing: make -B on the folder (libdai) 2 Generate the class path of the groovy project: mvn clean install mvn dependency:build-classpath-Dmdep.outputFile=classpath.out on the psl root folder (You need to have java 1.8 and maven 3.x installed) 3 Grant exec permissions to the run.sh script --------Options-------- The main python file to run the experiments is evaluatebalanceon_sn.py. It accepts the following parameters: 1 (Int) Nodes of the graph. In order to run the junction tree we recommend to set this paremeter to 150 or less 2 (Int) The number of underlying communities 3 (Float) The maximum amount of unbalance for the experiments. We recommend 0.45 4 (Bool) Whether to use an heuristic to find the initial node for each community or to use directly random nodes from the ground truth communities. This heuristic looks alternatively for the nodes with highest negative degree and highest positive degree. For the case when the number of communities is equal to 2 (Ising Model), the heuristic is used by default. An example of execution would be: python evaluate_balance_on_sn.py 120 3 0.45 True True The results of the experiments are save in the folder results/ Scripts The main script of the hinge-loss method can be found in the folder psl/psl-example/src/main/java/edu/umd/cs/example/PottsCommunities.groovy --------For further questions, please contact vicen.gomez@upf.edu

Imagen bolsa 4400x1200 px.-- Imagen taza 2232x972 px, Imágenes utilizadas en objetos promocionales del repositorio con el lema "I love postprints. Copia de autor gratuita y revisada de artículos científicos".-- En formato png y jpg, Peer reviewed

Contiene la imagen en español e inglés y un documendo pdf con más información., OpenAire es un portal de la Comisión Europea que indexa los resultados de los proyectos realizados bajo los marcos de financiación europea y analiza el cumplimiento de sus mandatos de acceso abierto. DIGITAL.CSIC es una de las 10 fuentes de datos que contribuyen con mayor volumen de publicaciones resultantes de proyectos afectados por estos mandatos., Peer reviewed