Resultados totales (Incluyendo duplicados): 10
Encontrada(s) 1 página(s)
DUGiDocs – Universitat de Girona
oai:dugi-doc.udg.edu:10256/15948
Imagen (Image). 2018

COM TROBAR ARTICLES EN UN MINUT

  • Universitat de Girona. Biblioteca
Infografia que explica com trobar articles electrònics a text complet a través del Cercador de la biblioteca

Proyecto: //
DOI: http://hdl.handle.net/10256/15948
DUGiDocs – Universitat de Girona
oai:dugi-doc.udg.edu:10256/15948
HANDLE: http://hdl.handle.net/10256/15948
DUGiDocs – Universitat de Girona
oai:dugi-doc.udg.edu:10256/15948
PMID: http://hdl.handle.net/10256/15948
DUGiDocs – Universitat de Girona
oai:dugi-doc.udg.edu:10256/15948
Ver en: http://hdl.handle.net/10256/15948
DUGiDocs – Universitat de Girona
oai:dugi-doc.udg.edu:10256/15948

DUGiDocs – Universitat de Girona
oai:dugi-doc.udg.edu:10256/16349
Imagen (Image). 2019

MENDELEY. COM GESTIONAR LA BIBLIOGRAFIA DEL TEU TREBALL

  • Universitat de Girona. Biblioteca
Infografia que explica com utilitzar el gestor bibliogràfic Mendeley

Proyecto: //
DOI: http://hdl.handle.net/10256/16349
DUGiDocs – Universitat de Girona
oai:dugi-doc.udg.edu:10256/16349
HANDLE: http://hdl.handle.net/10256/16349
DUGiDocs – Universitat de Girona
oai:dugi-doc.udg.edu:10256/16349
PMID: http://hdl.handle.net/10256/16349
DUGiDocs – Universitat de Girona
oai:dugi-doc.udg.edu:10256/16349
Ver en: http://hdl.handle.net/10256/16349
DUGiDocs – Universitat de Girona
oai:dugi-doc.udg.edu:10256/16349

DUGiDocs – Universitat de Girona
oai:dugi-doc.udg.edu:10256/17038
Dataset. 2019

L'ÚS DE LES FONTS PERIODÍSTIQUES A LA PREMSA GIRONINA (1996-2016)

  • Hernández Piferrer, Jordi
Dades de recerca associades a la tesi doctoral: Hernández Piferrer, Jordi. (2019). El triomf de l'emissor: l'ús de les fonts periodístiques a la premsa gironina (1996-2016). (Tesi doctoral, Universitat de Girona, Catalunya). Recuperat de http://hdl.handle.net/10803/667625, This research aims to study, both in quantity and quality, the use of sources of information in the production of news about the six main cities of the Girona Province (Girona, Salt, Figueres, Olot, Blanes i Lloret de Mar) in the two most important local newspapers during the period between 1996 and 2016. To do so, sources of information used to produce news about city management in the mentioned towns have been identified, quantified and classified. Through a quantitative and qualitative approach to the research we have made an analysis detecting eventual tendencies in the uses of sources of information and its identification. We have observed as well the relationship among several parameters regarding the gathering and transformation of the information provided by the sources, El presente trabajo de investigación estudia de manera cuantitativa y cualitativa el uso de las fuentes periodísticas en la elaboración de información sobre las seis principales ciudades de la Provincia de Girona (Girona, Salt, Figueres, Olot, Blanes i Lloret de Mar) en los dos periódicos locales de más importancia de la zona en el período comprendido entre 1996 y 2016. Para hacerlo se ha identificado, cuantificado y clasificado las fuentes de información utilizadas para elaborar noticias sobre aspectos diversos de la gestión municipal en las ciudades indicadas. A partir de una aproximación cuantitativa y cualitativa hemos analizado las eventuales tendencias en el uso de las fuentes periodísticas, así como su atribución y la relación entre varios parámetros relativas a la recogida y tratamiento de la información que aportan, El present treball d’investigació estudia de manera quantitativa i qualitativa l’ús de les fonts periodístiques en l’elaboració d’informació sobre les sis principals ciutats de la Província de Girona (Girona, Salt, Figueres, Olot, Blanes i Lloret de Mar) en els dos diaris locals de més importància de la demarcació en el període entre 1996 i 2016. Per a fer-ho s’ha identificat, quantificat i classificat les fonts d’informació utilitzades per elaborar notícies sobre aspectes diversos de la gestió municipal a les ciutats esmentades. A partir d’una aproximació quantitativa i qualitativa hem analitzat les eventuals tendències en l’ús de les fonts periodístiques, així com la seva atribució i la relació entre diversos paràmetres relatius a la recollida i tractament de la informació que aporten

Proyecto: //
DOI: http://hdl.handle.net/10256/17038
DUGiDocs – Universitat de Girona
oai:dugi-doc.udg.edu:10256/17038
HANDLE: http://hdl.handle.net/10256/17038
DUGiDocs – Universitat de Girona
oai:dugi-doc.udg.edu:10256/17038
PMID: http://hdl.handle.net/10256/17038
DUGiDocs – Universitat de Girona
oai:dugi-doc.udg.edu:10256/17038
Ver en: http://hdl.handle.net/10256/17038
DUGiDocs – Universitat de Girona
oai:dugi-doc.udg.edu:10256/17038

DUGiDocs – Universitat de Girona
oai:dugi-doc.udg.edu:10256/17205
Dataset. 2019

EARLY IRON AGE (BANTU) SITES IN EAST AND SOUTHEAST AFRICA [DADES DE RECERCA]

  • Isern Sardó, Neus
  • Fort, Joaquim
Dades primàries associades amb l'article publicat: Isern, N., Fort, J. (2019). Assessing the importance of cultural diffusion in the Bantu spread into southeastern Africa. PLoS ONE, 14 (5), e0215573. Disponible a https://doi.org/10.1371/journal.pone.0215573, Selection of 70 early Iron Age (Bantu) sites in East and Southeast Africa. Names, dates and coordinates were obtained from Russell Table 2 (Russell T, Silva F, Steele J. Modelling the Spread of Farming in the Bantu-Speaking Regions of Africa: An Archaeology-Based Phylogeography. PLoS One. 2014; 9: e87854). It has also been included information on spread period, spread area and distances to possible origins of the spread

Proyecto: //
DOI: http://hdl.handle.net/10256/17205
DUGiDocs – Universitat de Girona
oai:dugi-doc.udg.edu:10256/17205
HANDLE: http://hdl.handle.net/10256/17205
DUGiDocs – Universitat de Girona
oai:dugi-doc.udg.edu:10256/17205
PMID: http://hdl.handle.net/10256/17205
DUGiDocs – Universitat de Girona
oai:dugi-doc.udg.edu:10256/17205
Ver en: http://hdl.handle.net/10256/17205
DUGiDocs – Universitat de Girona
oai:dugi-doc.udg.edu:10256/17205

DUGiDocs – Universitat de Girona
oai:dugi-doc.udg.edu:10256/17240
Dataset. 2018

COLLECTION OF DATA ON THE DISTRIBUTION OF RED ALGAL COASTAL HABITAT AND ENVIRONMENTAL VARIABLES IN THE NORTHWEST OF THE MEDITERRANEAN

  • Cefalì, Maria Elena
  • Ballesteros i Sagarra, Enric
  • Riera, Joan Lluís
  • Chappuis, Eglantine
  • Terradas, Marc
  • Mariani, Simone
  • Cebrian Pujol, Emma
Dades associades a l' article publicat: Cefalì,M.E., Ballesteros, E., Riera, J.L., Chappuis, E., Terradas, M., Mariani, S., i Cebrian, E. (2018). The optimal sampling design for littoral habitats modelling: a case study from the north-western Mediterranean. PLoS ONE, vol. 13, núm. 5, p. e0197234. Disponible a https://doi.org/10.1371/journal.pone.0197234, Spatial distribution of six coastal habitats of red algae on the Catalan coast, significantly influenced by environmental variables. The red algae mentioned in the database are: Rissoella verruculosa, Lithophyllum byssoides /Lithophyllum byssoides rims ("Trottoir"), Neogoniolithon brassica-florida, Hildenbrandia rubra /Phymatolithon lenormandi and Cystoseira mediterranea. Data on littoral habitat distribution and environmental variables were collected along the whole coast of Catalonia (North-Western Mediterranean between 3º 10' 28.072" E, 42º 26' 17.619" N and 0º 30' 57.001" E, 40º 31' 26.302" N), The file called 'Full data base' contains for each point, the projected coordinates, the environmental variables and the presence/absence (1/0) of each habitat. Slope code: 1 = 0º-10.8º; 2 = 10.8º-22.8º; 3 = 22.8º-45.1º; 4 = 45.1º-68.2º; 5 = 68.2º-87.8º. Habitats code: Riv = Rissoella verruculosa; Lby = Lithophyllum byssoides; Tro = Lithophyllum byssoides rims ("Trottoir”); Neo = Neogoniolithon brassica-florida; Hph = Hildenbrandia rubra/ Phymatolithon lenormandi.\nTables A-F contain results of logistic regression models. Results of logistic regression models for all sampling strategy designs are presented for each habitat and for all sample sizes. For training data, the number (N) and frequency (F) of the habitat occurrence are presented. Results of null models are shown with the mead and standard deviation of the 10 models calculated. The D2 is the Deviance of the model in the training data; AUC is the area under the receiver operating characteristic (ROC) curve, se and spe are the sensitivity and specificity respectively, for the predictive model in the test data

Proyecto: //
DOI: http://hdl.handle.net/10256/17240
DUGiDocs – Universitat de Girona
oai:dugi-doc.udg.edu:10256/17240
HANDLE: http://hdl.handle.net/10256/17240
DUGiDocs – Universitat de Girona
oai:dugi-doc.udg.edu:10256/17240
PMID: http://hdl.handle.net/10256/17240
DUGiDocs – Universitat de Girona
oai:dugi-doc.udg.edu:10256/17240
Ver en: http://hdl.handle.net/10256/17240
DUGiDocs – Universitat de Girona
oai:dugi-doc.udg.edu:10256/17240

DUGiDocs – Universitat de Girona
oai:dugi-doc.udg.edu:10256/17241
Dataset. 2018

A SERIAL FOUNDER EFFECT MODEL OF PHONEMIC DIVERSITY BASED ON PHONEMIC LOSS IN LOW-DENSITY POPULATIONS [DADES DE RECERCA]

  • Pérez Losada, Joaquim
  • Fort, Joaquim
Dades associades a l' article publicat: Pérez-Losada, J. & Fort, J. (2018). A serial founder effect model of phonemic diversity based on phonemic loss in low-density populations. PLoS ONE, vol. 13, núm. 6, p. e0198346. Disponible a https://doi.org/10.1371/journal.pone.0198346, The zip file contains the following documents and files: - S1 Text: Supplementary results in DOCX, available at https://doi.org/10.1371/journal.pone.0198346.s001. This document contains different graphic simulations that complement the results mentioned in the published article. Graphics have been calculated from the data collected in the "Language database".

- S1 Database in XLSX available at https://doi.org/10.1371/journal.pone.0198346.s002. It is the Language database that contains the list of phonemes for 359 languages. For each language are provided the number of phonemes and the distance from the origin of the out-of-Africa. For these 359 languages, 908 different phonemes have been found. First, all languages ​​in the dataset were coded in strings of "1" and "0". This leads to a "full" matrix of 359 rows (languages) x 908 columns (phonemes). The presence of a phoneme is marked with a "1" in the corresponding position. The absence of a given phoneme is marked with a "0". Data from this database are used to generate the observed phonetic cline and the simulated phonemic cline, explained in the published article. - Two programs in FORTRAN to carry out the numerical simulations based on the data collected in the Language database (S1): S1 Software is the SFE with phonemic loss program, available at https://doi.org/10.1371/journal.pone.0198346.s003 (ZIP) and S2 Software is the program to compute diversity tF of languages at given distance intervals, available at https://doi.org/10.1371/journal.pone.0198346.s004 (ZIP), It has been observed that the number of phonemes in languages in use today tends to decrease with increasing distance from Africa. A previous formal model has recently reproduced the observed cline, but under two strong assumptions. Here we tackle the question of whether an alternative explanation for the worldwide phonemic cline is possible, by using alternative assumptions. The answer is affirmative. We show this by formalizing a proposal, following Atkinson, that this pattern may be due to a repeated bottleneck effect and phonemic loss. In our simulations, low-density populations lose phonemes during the Out-of-Africa dispersal of modern humans. Our results reproduce the observed global cline for the number of phonemes. In addition, we also detect a cline of phonemic diversity and reproduce it using our simulation model. We suggest how future work could determine whether the previous model or the new one (or even a combination of them) is valid. Simulations also show that the clines can still be present even 300 kyr after the Out-of-Africa dispersal, which is contrary to some previous claims which were not supported by numerical simulations​

Proyecto: //
DOI: http://hdl.handle.net/10256/17241
DUGiDocs – Universitat de Girona
oai:dugi-doc.udg.edu:10256/17241
HANDLE: http://hdl.handle.net/10256/17241
DUGiDocs – Universitat de Girona
oai:dugi-doc.udg.edu:10256/17241
PMID: http://hdl.handle.net/10256/17241
DUGiDocs – Universitat de Girona
oai:dugi-doc.udg.edu:10256/17241
Ver en: http://hdl.handle.net/10256/17241
DUGiDocs – Universitat de Girona
oai:dugi-doc.udg.edu:10256/17241

DUGiDocs – Universitat de Girona
oai:dugi-doc.udg.edu:10256/17242
Dataset. 2018

SUPPORTING INFORMATION: ANTIMICROBIAL ACTIVITY OF LINEAR LIPOPEPTIDES DERIVED FROM BP100 TOWARDS PLANT PATHOGENS

  • Oliveras Rovira, Àngel
  • Baró Sabé, Aina
  • Badosa Romañó, Esther
  • Montesinos Barreda, Laura
  • Feliu Soley, Lídia
  • Planas i Grabuleda, Marta
Dades associades a l'article publicat: Oliveras, À., Baró, A., Montesinos, L., Badosa, E., Montesinos, E., Feliu, L., i Planas, M. (2018). Antimicrobial activity of linear lipopeptides derived from BP100 towards plant pathogens. PLoS ONE, vol. 13, núm. 7, p. e0201571. Disponible a https://doi.org/10.1371/journal.pone.0201571, Table A contains antimicrobial activity (MIC) of the linear lipopeptides against six plant pathogenic bacteria and two fungi. Table B contains Hemolytic activity of the linear lipopeptides. S1 File also includes the synthesis and characterization of the lipopeptides

Proyecto: //
DOI: http://hdl.handle.net/10256/17242
DUGiDocs – Universitat de Girona
oai:dugi-doc.udg.edu:10256/17242
HANDLE: http://hdl.handle.net/10256/17242
DUGiDocs – Universitat de Girona
oai:dugi-doc.udg.edu:10256/17242
PMID: http://hdl.handle.net/10256/17242
DUGiDocs – Universitat de Girona
oai:dugi-doc.udg.edu:10256/17242
Ver en: http://hdl.handle.net/10256/17242
DUGiDocs – Universitat de Girona
oai:dugi-doc.udg.edu:10256/17242

DUGiDocs – Universitat de Girona
oai:dugi-doc.udg.edu:10256/18163
Dataset. 2019

MME-T-MEDNET: MASS MORTALITY EVENTS IN MEDITERRANEAN MARINE COASTAL ECOSYSTEMS [DADES DE RECERCA]

  • Garrabou, Joaquim
  • Gómez Gras, Daniel
  • Ledoux, Jean-Baptiste
  • Linares, Cristina
  • Bensoussan, Nathaniel
  • López Sendino, Paula
  • Bazairi, Hocein
  • Espinosa, Free
  • Ramdani, Mohamed
  • Grimes, Samir
  • Benabdi, Mouloud
  • Ben Souissi, Jamila
  • Soufi-Kechaou, Emna
  • Khamassi, Faten
  • Ghanem, Raouia
  • Ocaña, Oscar
  • Ramos Esplà, Alfonso
  • Izquierdo, Andrés
  • Antón, Irene
  • Rubio Portillo, Esther
  • Barberá, Carmen
  • Cebrian Pujol, Emma
  • Marbà, Nuria
  • Hendriks, Iris E.
  • Duarte, Carlos M.
  • Deudero, Salud
  • Díaz, David
  • Vázquez Luis, Maite
  • Álvarez, Elvira
  • Hereu Fina, Bernat
  • Kersting, Diego K.
  • Gori, Andrea
  • Viladrich Canudas, Núria
  • Sartoretto, Stephane
  • Pairaud, Ivane
  • Ruitton, Sandrine
  • Pergent, Gérard
  • Pergent-Martini, Christine
  • Rouanet, Elodie
  • Teixidó, Núria
  • Gattuso, Jean-Pierre
  • Fraschetti, Simonetta
  • Rivetti, Irene
  • Azzurro, Ernesto
  • Cerrano, Carlo
  • Ponti, Massimo
  • Turicchia, Eva
  • Bavestrello, Giorgio
  • Cattaneo-Vietti, Riccardo
  • Bo, Marzia
  • Bertolino, Marco
  • Montefalcone, Monica
  • Chimienti, Giovanni
  • Grech, Daniele
  • Rilov, Gil
  • Tuney Kizilkaya, Inci
  • Kizilkaya, Zafer
  • Eda Topçu, Nur
  • Gerovasileiou, Vasilis
  • Sini, Maria
  • Bakran-Petricioli, Tatjana
  • Kipson, Silvija
  • Harmelin, Jean G.
Dades primàries associades a l'article publicat: Garrabou, J., Gómez Gras, D., Ledoux, J.B. [et.al]. Collaborative Database to Track Mass Mortality Events in the Mediterranean Sea. Frontiers in Marine Science, 2019, vol. 6 art. núm. 707. Disponible a https://doi.org/10.3389/fmars.2019.00707, The data compiled in the MME-T-MEDNet dataset was gathered from published scientific papers, grey literature and technical reports using different searching strategies in ISI Web of Knowledge and Google Scholar using different sets of keywords (including those used in Rivetti et al. 2014 and Marba et al. 2015) as well as through contacts with researchers across the Mediterranean. The dataset comprises mass mortality events impacts observed at discrete events generally related to warming episodes across the Mediterranean. The dataset provides information about the year, season, geographic coordinates, protection status of the geographic location, species phylum, species name, the degree of mortality impact, depth range of the mortality and reported biotic and abiotic mortality drivers of the event, The Mass Mortality Events (MME-T-MEDNet) dataset compiles information reported on mass mortality events of species in the Mediterranean Sea affecting different organism dwelling in coastal ecosystems, We acknowledge the financial support by the Prince Albert II de Monaco Foundation (MIMOSA project nº 1983) and the project MPA-ADAPT funded by Interreg MED program (European Regional Development Fund)

Proyecto: //
DOI: http://hdl.handle.net/10256/18163
DUGiDocs – Universitat de Girona
oai:dugi-doc.udg.edu:10256/18163
HANDLE: http://hdl.handle.net/10256/18163
DUGiDocs – Universitat de Girona
oai:dugi-doc.udg.edu:10256/18163
PMID: http://hdl.handle.net/10256/18163
DUGiDocs – Universitat de Girona
oai:dugi-doc.udg.edu:10256/18163
Ver en: http://hdl.handle.net/10256/18163
DUGiDocs – Universitat de Girona
oai:dugi-doc.udg.edu:10256/18163

DUGiDocs – Universitat de Girona
oai:dugi-doc.udg.edu:10256/18169
Dataset. 2019

RECORDS OF BLUE CRABS (CALLINECTES SAPIDUS) CAPTURED OR OBSERVED AT THE PARC NATURAL DELS AIGUAMOLLS DE L'EMPORDÀ (PNAE) AND PARC NATURAL DEL MONTGRÍ, LES ILLES MEDES I EL BAIX TER (PNMMBT) BETWEEN JULY 2017 AND OCTOBER 2018

  • Fuentes Castelló, Miguel Ángel
  • Torrent Fàbrega, Laura
  • Barrera, Sergio
  • Boix Masafret, Dani
Dades primàries associades a l'article publicat: Fuentes, M.A.,Torrent, L., Barrera, S., Boix, D. (2019). Rapid invasion of the American blue crab Callinectes sapidus Rathbun, 1896 in the North-East of the Iberian Peninsula. BioInvasions Records, vol. 8 , núm. 1, p. 113-118. Disponible a https://doi.org/10.3391/bir.2019.8.1.12, Records (number of individuals) of American blue crabs (Callinectes sapidus) captured in the sampling campaigns (Catch) or observed (Obs.) in July 2017 and October 2018 at the Parc Natural dels Aiguamolls de l'Empordà (PNAE) and Parc Natural del Montgrí, les Illes Medes i el Baix Ter (PNMMBT), in order to evaluate the magnitude of the invasion. The location, the river (Fluvià, Muga or Ter) and the geographical coordinates where this invasive species has been caught or observed are recorded

Proyecto: //
DOI: http://hdl.handle.net/10256/18169
DUGiDocs – Universitat de Girona
oai:dugi-doc.udg.edu:10256/18169
HANDLE: http://hdl.handle.net/10256/18169
DUGiDocs – Universitat de Girona
oai:dugi-doc.udg.edu:10256/18169
PMID: http://hdl.handle.net/10256/18169
DUGiDocs – Universitat de Girona
oai:dugi-doc.udg.edu:10256/18169
Ver en: http://hdl.handle.net/10256/18169
DUGiDocs – Universitat de Girona
oai:dugi-doc.udg.edu:10256/18169

DUGiDocs – Universitat de Girona
oai:dugi-doc.udg.edu:10256/18947
Dataset. 2019

BUILDINGS ENERGY DEMAND

  • Cañigueral Maurici, Marc
  • Meléndez i Frigola, Joaquim
  • Torrent-Fontbona, Ferran
Dades primàries associades a una comunicació a congrés presentada a CIRED 2019. 25th International Conference on Electricity Distribution: Madrid, 3-6 June 2019, The files are in CSV, no special software required to interpret the data, The dataset includes two files: one called 'demand', with the active power demand from 10 different households, in Watts units and hourly resolution, and another called 'generation', with the solar generation considering the current installed photovoltaic power in each household, in Watts units and hourly resolution. The total peak power installed is 30.5 kWp. The demand dataset was provided by the DSO (Distribution System Operator). No collection/generation work done by the researchers. The solar generation profile was download from PVGIS portal, considering the location and the installed peak power of each household. The study multiplies the data profiles (demand and generation) from the Dataset by different factors according to the scenario. Not other preprocessing than scaling the data. Energy consumption profiles from file 'demand.csv' correspond to the same households than the energy production profiles from file 'generation.csv'. For example, 'C1' column in 'demand.csv' and 'G1' column in 'generation.csv' correspond to consumption and generation profiles from Household 1, respectively. In the study the authors talk about two scenarios. The Scenario 1 considers the current demand profiles, from file 'demand.csv'. The Scenario 2, considers a future high electrification of households final demand, so the demand profiles in file 'demand.csv' are scaled by a factor of 14. In both scenarios, all generation profiles in 'generation.csv' are scaled by a factor depending on the total installed photovoltaic power, considering than the original generation profiles correspond to a total peak power of 30.5 kWp. The dataset contains the data collected from 0:00 am to 11:00 pm on July 1, 2018

Proyecto: EC/H2020/773715
DOI: http://hdl.handle.net/10256/18947
DUGiDocs – Universitat de Girona
oai:dugi-doc.udg.edu:10256/18947
HANDLE: http://hdl.handle.net/10256/18947
DUGiDocs – Universitat de Girona
oai:dugi-doc.udg.edu:10256/18947
PMID: http://hdl.handle.net/10256/18947
DUGiDocs – Universitat de Girona
oai:dugi-doc.udg.edu:10256/18947
Ver en: http://hdl.handle.net/10256/18947
DUGiDocs – Universitat de Girona
oai:dugi-doc.udg.edu:10256/18947

Buscador avanzado