Resultados totales (Incluyendo duplicados): 44911
Encontrada(s) 4492 página(s)
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/172794
Dataset. 2019

DATA ON PHENOTYPE-DEPENDENT DISPERSAL IN PIED FLYCATCHERS BETWEEN 1988 AND 2016

  • Camacho, Carlos
  • Martínez-Padilla, Jesús
  • Canal, David
  • Potti, Jaime
Between 1988 and 2016, we investigated the effects of breeding density and body size on natal dispersal propensity in a pied flycatcher (Ficedula hypoleuca) population breeding in nest-boxes in two different habitats in central Spain (41°04'N, 3°27'W − 40°40'N, 4°80'W). Body size was measured as tarsus length. Breeding density was estimated as the annual number of nest-boxes occupied by pied flycatchers relative to the total area of each forest patch. Dispersal rates between habitats were also calculated by dividing the number of recruits that moved from their natal to the alternative habitat patch by the total number of recruits that returned to the study area each year. In addition, we calculated the annual rates of immigration to each habitat, expressed as the number of unbanded birds relative to the total number of birds in a given year., Peer reviewed

Proyecto: //
DOI: http://hdl.handle.net/10261/172794
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/172794
HANDLE: http://hdl.handle.net/10261/172794
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/172794
PMID: http://hdl.handle.net/10261/172794
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/172794
Ver en: http://hdl.handle.net/10261/172794
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/172794

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/172859
Dataset. 2018

GENOME-WIDE-ASSOCIATION STUDIES (GWAS) IN BARLEY [DATASET]

  • Igartua Arregui, Ernesto
  • Pérez Cantalapiedra, Carlos
  • Casas Cendoya, Ana María
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

DOI: http://hdl.handle.net/10261/172859
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/172859
HANDLE: http://hdl.handle.net/10261/172859
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/172859
PMID: http://hdl.handle.net/10261/172859
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/172859
Ver en: http://hdl.handle.net/10261/172859
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/172859

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/173204
Dataset. 2018

METHANE EMISSIONS IN DOÑANA SALTMARSHES OVER 2016‐2018

  • Huertas, I. Emma
  • Paz, M. de la
This data set includes measurements of water samples collected from 7 sites during 16 surveys carried out between March 2016 and March 2018 in the salt marshes of Doñana National Park. Geographic coordinates of sampling positions are provided. During samplings, in situ water conductivity (converted to salinity), temperature and pH were measured using a multi‐probe (YSI‐6920V2, YSI Incorporated, Yellow Springs, Ohio, USA) and water samples were collected for laboratory analysis of dissolved methane and nitrous oxide by static‐head space equilibration gas chromatography (GC) using an Agilent 7890 GC equipped with Flame Ionization Detector (FID) for CH4, according to de la Paz et al. (2015). Samples were also taken for analysis of phosphate, nitrate, nitrite and ammonia (with a Skalar Sanˆ++215 Continuous Flow Analyzer and using the standard colorimetric techniques described in Hansen and Koroleff 1999), dissolved oxygen and total alkalinity (using a Metrohm 794 Titroprocessor following the methods described by Mintrop et al. (2000) and Winkler) and dissolved organic carbon and total dissolved nitrogen that were determined through by catalytic oxidation at high temperature (720 °C) and chemiluminescence, respectively in a Shimadzu Total Organic Carbon analyzer (Model TOC‐VCPH/CPN), according to Álvarez‐Salgado and Miller (1998). Dissolved carbon dioxide partial pressure was calculated from pHNBS and total alkalinity using co2sys.xls (Pierrot et al., 2000) with the dissociation constants for carbon and sulfate of (Cai and Wang 1998) and (Dickson 1990), respectively., Calculations of the equilibrium concentrations of methane and nitrous oxide in the water phase was done using the annual averaged atmospheric mixing ratios CH4 (xCH4atm) provided by the World Data Center for Greenhouse Gases (http://ds.data.jma.go.jp/gmd/wdcgg/). Such mean value during the sampling period was calculated as 1866 ppb., Daily measurements of rainfall (mm), air temperature (ºC) and wind speed (m s‐1) were provided by ameteorological station located in Lebrija (36º 58’ 35’‘N, 06º 07’ 34” W) managed by the Junta de Andalucia (www.juntadeandalucia.es/agriculturaypesca/ifapa/ria/servlet/FrontController). The data is provided as [space] delimitated plain text files within a compressed folder that also includes a single README file (in PDF format) containing a detailed description of the data structure., For more details, see the publication: I. Emma Huertas, Mercedes de la Paz, Fiz F. Perez, Gabriel Navarro and Susana Flecha 2019. Methane emissions from the salt marshes of Doñana wetlands: spatio‐temporal variability and controlling factors. Frontiers in Ecology and Evolution, section Conservation., This 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 thedata, 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 {space} used as the delimiter and text enclosed in "". All data files have column titles as the first line. NA is used to represent no data., [Geographical coordinates of water sampling sites] Doñana_saltmarshes_sampling_stations_geo_coordinates.csv provides the geographical coordinates of the sites. ST.ID represents the code (used to link to other data tables) for each site. long and lat are longitude and latitude, respectively. Geographic projection and WSG84 datum is used (EPSG:4326)., [Water physiochemical properties] Doñana_saltmarshes_water_monitoring_2016‐2018.csv provides data from approximately monthly water sampling data between March 2016 and March 2018. Temperature, salinity and pH were measured with a multi‐probe (YSI‐6920V2, YSI Incorporated, Yellow Springs, Ohio, USA). Total alkalinity, concentrations of oxygen, organic carbon, organic nitrogen, inorganic nitrogen, pigments, suspended solids and dissolved phosphate were measured in the laboratory. pCO2 was calculated using pH and total alkalinity with co2sys.xls. SAMP.EVENT is a convenience code used to denominate each individual survey. SAMP.DATE is the day in which the sampling took place (in the Gregorian calendar). time.stamp.gmt is the time (GMT or UTC) at which the sample was collected, in extended ISO8601 format. ST.ID represents the code (used to link to other data tables) for each site. T.degC is the water temperature in degrees Celsius. Salinity is the water salinity (practical salinity units, i.e., no units), calculated from conductivity. CH4.nmolL is methane concentration with units nano mol per liter. Chla.μmolL is chlorophyll‐a concentration with units micro mol per liter. TSM.mgL is total suspended solids concentration with units milli gram per liter. DOC.mgL is total dissolved organic carbon concentration with units milli gram per liter. TDN.mgL is total dissolved nitrogen concentration with units milligram per liter. NH4.μmolL is dissolved ammonium concentration with units micro mol per liter. NO2.μmolL is dissolved nitrite concentration with units micro mol per liter. NO3.μmolL is dissolved nitrate concentration with units micro mol per liter. PO4.μmolL is dissolved inorganic phosphate concentration (i.e., not organic or total) with units micro mol per liter. O2.mgL is dissolved oxygen concentration with units mili gram per liter.TA.umolKg is total alkalinity with units micro mol per kilogram. pH is given using the National Bureau of Standards (NBS) scale at in situ temperature., [Meteorological data] Daily measurements of air temperature (ºC), wind speed (m s‐1) and humidity were provided by a meteorological station located in Lebrija (36º 58’ 35’‘N, 06º 07’ 34” W) maintained by the Junta de Andalucia (www.juntadeandalucia.es/agriculturaypesca/ifapa/ria/servlet/FrontController). Doñana_saltmarshes_meteorological_data.csv contains monthly‐ensemble‐averaged wind velocities at 1 m (uz) above the land surface with units meters per second. T.degC is monthly mean air temperature at 1m above the land surface with units degrees Celcius. hum.% is the relative humidity at 1m above the land surface expressed as a percent., This data set includes recently published data used to assess the spatio‐temporal variability of dissolved methane in the salt marshes of Doñana National Park, SW Spain (Long:‐6.373, Lat:36.932, Datum:WSG84) between March 2016 and March 2018 and calculate CH4 air‐water fluxes., This research was supported by the project 1539/2015 (Spanish Ministry for Agriculture, Food and Environment). Meteorological data was provided by the Junta de Andalucia. NOOA supplied atmospheric methane data. Further analytical details, acknowledgements, and airwater fluxes can be found in the publication., No

Proyecto: //
DOI: http://hdl.handle.net/10261/173204
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/173204
HANDLE: http://hdl.handle.net/10261/173204
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/173204
PMID: http://hdl.handle.net/10261/173204
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/173204
Ver en: http://hdl.handle.net/10261/173204
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/173204

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/173252
Dataset. 2018

BASES DE DATOS ANALÍTICOS Y POSICIONALES DEL SITIO TÚNEL VII

ANALYTICAL AND COORDINATES DATA BASES OF TUNEL VII SITE

  • Vila-Mitjà, Assumpció
  • Estévez Escalera, Jordi
Bases de datos (en formato hoja de cálculo LibreOffice) con las coordenadas tridimensionales de las delimitaciones y retículos de profundidad de las subunidaders estratigráficas y con las descripciones analíticas de los restos de fauna y de industria lítica. Se incluyen también otros datos analíticos de los materiales., Bases de datos -LibreOffice- con analíticas y posicionales del sitio Túnel VII, Agencias financiadoras: CSIC, CONICET, Ministerio de Educación y Ciencia (España) y Ministerio de Cultura (España)., Peer reviewed

Proyecto: //
DOI: http://hdl.handle.net/10261/173252
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/173252
HANDLE: http://hdl.handle.net/10261/173252
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/173252
PMID: http://hdl.handle.net/10261/173252
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/173252
Ver en: http://hdl.handle.net/10261/173252
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/173252

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/173315
Dataset. 2018

STRESS RELATED TFBS PREDICTIONS IN DROSOPHILA MELANOGASTER AND HUMANS

  • Villanueva-Cañas, José Luis
  • Horváth, Vivien
  • Aguilera, Laura
  • González Pérez, Josefa
The dataset consists of the prediction of transcription factor binding sites (ChIP-seq data) and transcription factor binding motifs (Position weight matrices and Transcription factor flexible models) in Drosophila melanogaster and humans., Although transposable elements (TEs) are an important source of regulatory variation, their genome-wide contribution to the transcriptional regulation of stress response genes has not been studied yet. Stress is a major aspect of natural selection in the wild, leading to changes in the transcriptional regulation of a variety of genes that are often triggered by one or a few transcription factors. In this work, we take advantage of the wealth of information available for Drosophila melanogaster and humans to analyze the role of TEs in stress regulatory networks. We used in silico predictions and chromatin immunoprecipitation sequencing (ChIP-seq) data to localize transcription factor binding sites (TFBS) for several stress-response transcription factors involved in six stress regulatory networks: immune, hypoxia, oxidative, xenobiotic, heat shock, and heavymetal stress responses. The predictions at the DNA level were complemented with the analysis of biochemical and genomic features, such as chromatin characteristics and location regarding nearby genes. In addition, we also used population level information to identify a subset of TEs that were more likely to contain functional TFBS. For a representative subset of the most likely candidate TEs, we performed in vivo transgenic reporter assays in different stress conditions. Overall, our results showed that TEs are relevant contributors to the transcriptional regulation of stress response genes., This work was funded by the Ministerio de Economia y Competitividad BFU2014-57779-P, Ministerio de Ciencia, Innovación y Universidades/AEI (BFU2017-82937-P) and the European Commission (H2020-ERC-2014-CoG-647900)., Peer reviewed

DOI: http://hdl.handle.net/10261/173315
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/173315
HANDLE: http://hdl.handle.net/10261/173315
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/173315
PMID: http://hdl.handle.net/10261/173315
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/173315
Ver en: http://hdl.handle.net/10261/173315
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/173315

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/173421
Dataset. 2018

LIST OF AMPHIBIAN SPECIES ACROSS THE GLOBE WHOSE RANGES AND MACROHABITAT OVERLAP WITH THOSE OF L. HUMILE POPULATIONS

  • Álvarez-Blanco, Paloma
  • Cerdá, Xim
  • Hefetz, Abraham
  • Boulay, Raphaël
  • Bertó-Morán, Alejandro
  • Díaz-Paniagua, Carmen
  • Lenoir, Alain
  • Billen, Joham
  • Liedtke, H. Christoph
  • Chahuan, Kamlesh R.
  • Bhagavathy, Ganga
  • Angulo, Elena
Invasive species cause major ecosystem impacts. To prioritise management, it is first necessary to recognise which invaders have the highest impact, as outlined by the Convention on Biological Diversity’s Strategic Plan 2020. We show for the first time that chemical compounds previously shown to be used in ant defence against other ant species can also be used to prey upon vertebrates of relatively greater size. We estimate the number of amphibian species whose ranges overlap with those of the Argentine ant across the globe and examine the likely global threat to terrestrial amphibians, an already endangered taxonomic group., Peer reviewed

Proyecto: //
DOI: http://hdl.handle.net/10261/173421
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/173421
HANDLE: http://hdl.handle.net/10261/173421
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/173421
PMID: http://hdl.handle.net/10261/173421
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/173421
Ver en: http://hdl.handle.net/10261/173421
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/173421

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/173490
Dataset. 2018

GENOME-WIDE PATTERNS OF LOCAL ADAPTATION IN WESTERN EUROPEAN DROSOPHILA MELANOGASTER NATURAL POPULATIONS

  • Mateo, Lidia
  • Rech, Gabriel E.
  • González Pérez, Josefa
WC4PopStr_26112018.vcf.gz: Contains SNP calligs for the 83 genomes (26 Swedish, 16 Italian, 24 North American, and 17 African) after filtering SNPs at regions of known cosmopolitan admixture in the African strains (3749072 SNPs).-- EUPopStr_26112018.vcf.gz: Contains SNP callings for the new 42 genomes (26 Swedish, 16 Italian) sequenced in this work. (extracted from WC4PopStr_26112018.vcf.gz)., Peer reviewed

Proyecto: //
DOI: http://hdl.handle.net/10261/173490
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/173490
HANDLE: http://hdl.handle.net/10261/173490
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/173490
PMID: http://hdl.handle.net/10261/173490
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/173490
Ver en: http://hdl.handle.net/10261/173490
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/173490

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/174043
Dataset. 2019

AMPHIBIAN CSIC EXPERIMENTAL DATA INSITU EXSITU PXRD NPD [DATASET]

  • Granados-Miralles, Cecilia
  • Saura-Múzquiz, Matilde
  • Andersen, Henrik L.
  • Quesada, Adrián
  • Ahlburg, Jakob V.
  • Dippel, Ann-Christin
  • Canèvet, Emmanuel
  • Christensen, Mogens
  • AMPHIBIAN Project ID:720853
The different datasets are divided in folders as follows: 1. In situ experiments. The article is based on 7 different in situ experiments: a. 400C_5mLmin_fr10; b. 400C_10mLmin_fr23; c. 400C_20mLmin_fr6; d. 400C_30mLmin_fr12; e. 300C_10mLmin_fr4; f. 350C_10mLmin_fr18; g. 500C_10mLmin_fr9. (Due to space limitations, only the data corresponding to the experiment c were uploaded to this repository. The remaining data are accessible through private communication with Cecilia Granados-Miralles, c.granados.miralles@icv.csic.es). The folder “c_400C_20mLmin_fr6” contains in situ PXRD data (time resolution=5 s) collected during reduction at the temperature and gas flow indicated in the folder name (i.e. 400C_20mLmin stands for 400 °C and 20 mL/min). The temperature indicated in the file names is the set temperature but the sample temperature is the indicated in the folder name (i.e. Tset430 led to a sample temperature of 400 °C). Heating started on the frame indicated in the folder name (i.e. fr6 stands for frame 6). This folder contains 2D-diffraction images in *.tif format, which may be opened with the Python-based program for on-the-fly data processing and exploration of two-dimensional X-ray diffraction area detector data, available for free download at http://www.clemensprescher.com/programs/dioptas., 2. Ex situ experiments: a. PXRD_Cu 1D-diffraction patterns in *.dat format. 3 space-/tab-separated columns: 2theta angle (degree), Diffracted Intensity (arbitrary units), σ (arbitrary units); b. PXRD_Co Same as previous; c. NPD_DMC 1D-diffraction patterns in *.dat format. The first line indicates: narrowest 2theta angle measured, measurement step, widest 2theta angle. The following values are the diffracted intensities recorded for each 2theta step; d. NPD_HRPT; Same as previous e. VSMHysteresis loops: Magnetic moment as a function of a variable applied field in *.dat format. Several comma-separated columns of which the relevant are the 4th, 5th, and 6th columns, which contain: Magnetic Field (Oe), Moment (emu), M. Std. Err. (emu)., During the past decade, CoFe2O4 (hard)/Co–Fe alloy (soft) magnetic nanocomposites have been routinely prepared by partial reduction of CoFe2O4 nanoparticles. Monoxide (i.e., FeO or CoO) has often been detected as a byproduct of the reduction, although it remains unclear whether the formation of this phase occurs during the reduction itself or at a later stage. Here, a novel reaction cell was designed to monitor the reduction in situ using synchrotron powder X-ray diffraction (PXRD). Sequential Rietveld refinements of the in situ data yielded time-resolved information on the sample composition and confirmed that the monoxide is generated as an intermediate phase. The macroscopic magnetic properties of samples at different reduction stages were measured by means of vibrating sample magnetometry (VSM), revealing a magnetic softening with increasing soft phase content, which was too pronounced to be exclusively explained by the introduction of soft material in the system. The elemental compositions of the constituent phases were obtained from joint Rietveld refinements of ex situ high-resolution PXRD and neutron powder diffraction (NPD) data. It was found that the alloy has a tendency to emerge in a Co-rich form, inducing a Co deficiency on the remaining spinel phase, which can explain the early softening of the magnetic material., European Comission through FP7 program, NANOPYME project, grant agreement no. 310516. European Comission through H2020 program, AMPHIBIAN Project, grant agreement no. 720853. Danish National Research Foundation through Center for Materials Crystallography, DNRF-93. Danish Center for Synchrotron and Neutron Science through DanScatt. European Comission through FP7 program, NMI3-II project, grant agreement no. 283883., Peer reviewed

DOI: http://hdl.handle.net/10261/174043
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/174043
HANDLE: http://hdl.handle.net/10261/174043
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/174043
PMID: http://hdl.handle.net/10261/174043
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/174043
Ver en: http://hdl.handle.net/10261/174043
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/174043

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/174833
Dataset. 2019

MORENO ET AL 2019 PHENOTYPIC PLASTICITY JAVBIO

  • Moreno Klemming, Juan
  • Cantarero, Alejandro
  • Plaza Cusine, Mireia
  • López-Arrabé, Jimena
Dataset of the scientific article "Phenotypic plasticity in breeding plumage signals in both sexes of a migratory bird: responses to breeding conditions"., Peer reviewed

Proyecto: //
DOI: http://hdl.handle.net/10261/174833
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/174833
HANDLE: http://hdl.handle.net/10261/174833
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/174833
PMID: http://hdl.handle.net/10261/174833
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/174833
Ver en: http://hdl.handle.net/10261/174833
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/174833

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/174650
Dataset. 2019

DEFECT FILTER CONSTRUCTION [DATASET]

  • Leger, Gildas
  • Ginés, Antonio J.
  • Gutiérrez, Valentín
  • Barragán, Manuel J.
A detailed description can be found in the attached “readme.pdf” file. Datasets are subjected to a Creative Commons Attribution 4.0 International License, This data provides the THD measurement of an analog integrated circuit (a buffer) together with some indirect test signatures. Three cases are considered: a MonteCarlo simulation of mismatch variations, a MonteCarlo simulation of process variations and a defect simulation, Peer reviewed

Proyecto: //
DOI: http://hdl.handle.net/10261/174650
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/174650
HANDLE: http://hdl.handle.net/10261/174650
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/174650
PMID: http://hdl.handle.net/10261/174650
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/174650
Ver en: http://hdl.handle.net/10261/174650
Digital.CSIC. Repositorio Institucional del CSIC
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