Resultados totales (Incluyendo duplicados): 45302
Encontrada(s) 4531 página(s)
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/339784
Dataset. 2023

ECOBARÓMETRO DE ANDALUCÍA 2008

ECOBARÓMETRO 2008: ATTITUDES OF ANDALUSIANS TOWARDS ENVIRONMENT

  • Moyano Estrada, Eduardo
  • Lafuente, Regina
  • Castro, Ricardo de
[Descripción de los métodos utilizados para la recopilación/generación de datos] • UNIVERSO: Personas residentes en Andalucía con edades iguales o superiores a 18 años. • TAMAÑO DE LA MUESTRA TEÓRICA: 3.192 entrevistas. • TAMAÑO DE LA MUESTRA REAL: 3.148 entrevistas. • TIPO DE ENTREVISTA: Presencial mediante entrevistador, realizada en los domicilios. • TIPO DE MUESTREO: Estratificado con submuestreo por conglomerados, y elección de la unidad final por rutas aleatorias y cuotas de sexo y edad. • ESTRATIFICACIÓN: Se han utilizado dos variables para crear los estratos: la provincia, y una clasificación de secciones según criterios sociodemográficos basada en el Censo de 2001. El estrato final aparece con la combinación de ambas variables. La afijación por provincias es uniforme, con 399 entrevistas en cada una, con el objetivo de obtener un nivel de error inferior al 5% en cada una. La afijación por grupos sociodemográficos es proporcional a la población del universo dentro de cada provincia. • PROCESO MUESTRAL: Las 456 secciones se eligen a través de un muestro sistemático dentro de cada estrato (provincia). • CALIBRACIÓN: Dado que la muestra no es proporcional a la población de cada provincia, se calcula unos pesos que corrijan esta desproporción. • NIVELES DE ERROR: El nivel de error absoluto máximo esperado de los resultados de la encuesta, para las frecuencias de cada variable, es de ±1.9%, para un nivel de confianza del 95%. Para cada una de las provincias este nivel de error es del 5%. • TIEMPO MEDIO DE LA ENTREVISTA: 25 minutos., [Modalidades de tratamiento de los datos] El tratamiento de la información recogida ha consistido en la depuración de los datos corrigiendo errores y detectando datos anómalos. La grabación de los datos fue automática y la codificación de preguntas abiertas se realizó manualmente. La evaluación del trabajo de campo fue continuada mediante revisión del cumplimiento de la muestra, análisis y tratamiento de la no respuesta. Por último, se realiza la calibración de la muestra, se calibra por grupos de sexo y edad, nivel de estudios y tamaño municipal, con los últimos datos disponibles del Padrón de Habitantes y de la EPA para el nivel de estudios., [Diccionarios/libros de códigos utilizados] El libro de códigos está disponible en español y en traducción al inglés., [EN] El objetivo del Ecobarómetro de Andalucía (EBA) es analizar la conciencia ambiental de los andaluces y cómo se relacionan con el medio ambiente. Para ello se elabora un sistema de indicadores a partir de los resultados proporcionados por una encuesta anual dirigida a la población andaluza mayor de 18 años. La encuesta tiene por finalidad medir las distintas dimensiones de la conciencia ambiental (afectiva, cognitiva, activa y conativa), analizando las percepciones, actitudes, conocimiento y comportamiento de los andaluces respecto a diversas cuestiones ambientales. Este dataset corresponde a los resultados obtenidos en la encuesta realizada a una muestra representativa de la población andaluza mayor de 18 años durante el mes de julio 2008. El EBA presenta su octava edición desde que se iniciara en el año 2001. La estabilidad del contenido del cuestionario, así como su comparabilidad con barómetros similares empleados en estudios de ámbito estatal o internacional, lo configuran como un valioso instrumento para el estudio de la opinión pública andaluza en temas de medio ambiente, así como su evolución en el tiempo y sus peculiaridades en el contexto más amplio de las sociedades europeas., [ES] The objective of Andalusian Barometer (EBA) is to analyze the environmental awareness of Andalusians and how they relate to the environment. For this purpose, a system of indicators is elaborated from the results provide by an annual survey directed to the Andalusian population over 18 years of age. The survey aims to measure the different dimensions of environmental awareness (affective, cognitive, active and conative), analyzing the perceptions, attitudes, knowledge and behavior of Andalusians respect different environmental issues. This dataset corresponds to the results obtained in the survey carried out on a representative sample of the Andalusian population over 18 years of age during the month of July 2008. The EBA is in its eighth edition since it began in the year 2001. The stability of the content of questionnaire, as well as its comparability with similar barometers used in national or international studies, make it a valuable instrument for the study of Andalusian public opinion on environmental issues, as well as its evolution over time and its peculiarities in the broader context of the European societies., Investigación realizada en el marco de un convenio de colaboración suscrito entre la Consejería de Medio Ambiente y Ordenación del Territorio de la Junta de Andalucía y el Instituto de Estudios Sociales Avanzados del Consejo Superior de Investigaciones Científicas (IESA-CSIC)., BAROMETER2008_Datafile.csv BAROMETER2008_Datafile.sav BAROMETER2008_Codebook_EN.pdf BAROMETER2008_Codebook_SP.pdf BAROMETER2008_Readme_EN.pdf BAROMETER2008_Readme_SP.pdf BAROMETER2008_Survey.pdf, Peer reviewed

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DOI: http://hdl.handle.net/10261/339784, https://doi.org/10.20350/digitalCSIC/15693
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/339784
HANDLE: http://hdl.handle.net/10261/339784, https://doi.org/10.20350/digitalCSIC/15693
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/339784
PMID: http://hdl.handle.net/10261/339784, https://doi.org/10.20350/digitalCSIC/15693
Digital.CSIC. Repositorio Institucional del CSIC
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Ver en: http://hdl.handle.net/10261/339784, https://doi.org/10.20350/digitalCSIC/15693
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oai:digital.csic.es:10261/339784

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/339860
Dataset. 2023

RESEARCH DATA SUPPORTING "CHARACTERIZING THE BACKSCATTERED SPECTRUM OF MIE SPHERES"

  • Molezuelas-Ferreras, Martín
  • Nodar, Álvaro
  • Barra-Burillo, María
  • Olmos-Trigo, Jorge
  • Lasa-Alonso, Jon
  • Gómez-Viloria, Iker
  • Posada, Elena
  • Varga, J.J.M.
  • Esteban, Ruben
  • Aizpurua, Javier
  • Hueso, Luis E.
  • López, Cefe
  • Molina-Terriza, Gabriel
Each folder contains .txt files of the data for each of the figures indicated on its name, together with README instructions on each case., The file contains the dataset corresponding to the figures of the article "Characterizing the Backscattered Spectrum of Mie Spheres" written by Martín Molezuelas-Ferreras, Álvaro Nodar, María Barra-Burillo, Jorge Olmos-Trigo, Jon Lasa-Alonso, Iker Gómez-Viloria, Elena Posada, J. J. Miguel Varga, Rubén Esteban, Javier Aizpurua, Luis E. Hueso, Cefe Lopez, and Gabriel Molina-Terriza (DOI: 10.1002/lpor.202300665). The data is organized into different folders, and each folder contains .txt files of the data for each of the figures indicated on its name, together with README instructions on each case., PRE2018-085136. MCIN/AEI/10.13039 /501100011033 through Project Ref. No. FIS2017-87363-P. MCIN/AEI/10.13039/501100011033 and “ESF Investing in your future” through Project Ref. No. BES-2017-080073. MCIN/AEI/10.13039/501100011033 and “ERDF A way of making Europe” through Project Ref. No. PID2022-139579NB-I00. Department of Education, Research and Universities of the Basque Government through Project Ref. No. IT 1526-22. CSIC Research Platform PTI-001. MCIN/AEI/10.13039/501100011033 through Project Ref. No. MDM-2016-0618. MCIN/AEI/10.13039/501100011033 and the European UnionNextGenerationEU/PRTR through the Juan de la Cierva Fellowship Ref. No. FJC2021-047090-I. MCIN/AEI/10.13039/501100011033 and “ERDF A way of making Europe” through Project Ref. No. PID-2022-137569NBC43. MCIN/AEI/10.13039/501100011033 through Project Ref. No. PID2021-124814NB-C21., Peer reviewed

DOI: http://hdl.handle.net/10261/339860, https://doi.org/10.20350/digitalCSIC/15695
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/339860
HANDLE: http://hdl.handle.net/10261/339860, https://doi.org/10.20350/digitalCSIC/15695
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/339860
PMID: http://hdl.handle.net/10261/339860, https://doi.org/10.20350/digitalCSIC/15695
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/339860
Ver en: http://hdl.handle.net/10261/339860, https://doi.org/10.20350/digitalCSIC/15695
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oai:digital.csic.es:10261/339860

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/339865
Dataset. 2023

SUPPORTING INFORMATION: MULTIPLEXABLE AND BIOCOMPUTATIONAL VIRUS DETECTION BY CRISPR-CAS9-MEDIATED STRAND DISPLACEMENT

  • Márquez-Costa, Rosa
  • Montagud-Martínez, Roser
  • Marqués, M. Carmen
  • Albert, Eliseo
  • Navarro, David
  • Daròs Arnau, José Antonio
  • Ruiz, Raúl
  • Rodrigo, Guillermo
Experimental notes providing additional detail on the design and characterization of the engineered molecular systems. Additional figures showing control experiments and further activity assays (PDF). Nucleotide sequences of the elements used in this work (XLSX)., Peer reviewed

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DOI: http://hdl.handle.net/10261/339865
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/339865
HANDLE: http://hdl.handle.net/10261/339865
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/339865
PMID: http://hdl.handle.net/10261/339865
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/339865
Ver en: http://hdl.handle.net/10261/339865
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oai:digital.csic.es:10261/339865

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/339886
Dataset. 2023

SUPPLEMENTAL DATA FOR TRANSCRIPTION FACTOR VVINAC60 REGULATES SENESCENCE- AND RIPENING-RELATED 4 PROCESSES IN GRAPEVINE

  • D’Incà, Erica
  • Foresti, Chiara
  • Orduña, Luis
  • Amato, Alessandra
  • Vandelle, Elodie
  • Santiago, Antonio
  • Botton, Alessandro
  • Cazzaniga, Stefano
  • Bertini, Edoardo
  • Pezzotti, Mario
  • Giovannoni, James
  • Vrebalov, Julia T.
  • Matus, José Tomás
  • Tornielli, Giovanni Battista
  • Zenoni, Sara
Supplemental Fig. S1. Expression of NAC genes throughout organ development in grapevine. Supplemental Fig. S2. Levels of VviNAC60 gene and protein expression in berries. Supplemental Fig. S3. Alignment of predicted VviNAC60 amino acid sequences from Pinot Noir and Syrah cultivars. Supplemental Fig. S4. Phylogenetic relationships of NAC proteins in different plant species. Supplemental Fig. S5. Phenotypic changes in transgenic grapevine plants overexpressing VviNAC60. Supplemental Fig. S6. Phenotypic changes in transgenic grapevine plants expressing the repressor VviNAC60-EAR. Supplemental Fig. S7. Effects of transient heterologous expression of VviNAC60 in N. benthamiana leaves. Supplemental Fig. S8. VviNAC60 expression level determined by RT-qPCR in transgenic grapevine cv. Sultana leaves. Supplemental Fig. S9. Expression level of VviMYBA1, VviMYB14, VviWRKY16, and VviSGR1 determined by RT-qPCR in transgenic grapevine cv. Syrah leaves overexpressing VviNAC60. Supplemental Fig. S10. Expression profiles of VviNAC60 VHCT genes by exploring the cv. Corvina atlas dataset. Supplemental Fig. S11. Distribution of VviNAC03 and VviNAC33 DNA binding events. Supplemental Fig. S12. Identification of a VviNAC60 binding motif in the proximal promoter regions of VviMYBA genes from chromosomes 2 and 14. Supplemental Fig. S13. VviNAC60 DNA binding landscapes in the proximal promoter region of the VviMYB14 gene, and VviMYB14 promoter activation assessed by dual-luciferase reporter assay in infiltrated N. benthamiana leaves. Supplemental Fig. S14. Expression level of VviNAC60, VviNAC03, and VviNAC33 transgenes determined by RT-qPCR in T3 fruits in nor mutant background at Br + 7. Supplemental Fig. S15. Ethylene production during ripening of tomato in wild type, nor, and T3 fruit transformed with 35S:VviNAC60 in nor tomato mutant background. Supplemental Fig. S16. Expression levels of tomato ripening-related genes (SlACS4; SlPG2a; SlPSY1; SlSGR1) determined by RT-qPCR in wild type, nor, and T3 fruit transformed with 35S:VviNAC60, 35S:VviNAC03 and 35S:VviNAC33 in nor tomato mutant background at Br + 3. Supplemental Fig. S17. VviNAC60 VHCTs found in the module of VviATL co-expressed genes specifically related to biotic stress (CC6) and/or upregulated in grapevine plants overexpressing VviATL156 (L1mvsWTm). Supplemental Fig. S18. Phenotype of T0 tomato fruits (Solanum lycopersicum cv. Ailsa Craig) of the 2 selected lines carrying 35S: VviNAC60, 35S:VviNAC03, or 35S:VviNAC33 in the nor tomato mutant background. Supplemental Fig. S19. Expression level of each transgene determined by RT-qPCR in T1 leaves in nor tomato mutant background. Supplemental Table S1. The 89 genes identified as very-high-confidence targets (VHCTs) by combining DAP-seq with transcriptomics data. Supplemental Table S2. Complete list of Gene Ontology terms for Fig. 3D. Supplemental Table S3. Number of T1 tomato plants obtained from T0 generation. Supplemental Table S4. List of primers used. Supplemental Dataset S1. List of genes showing highest co-expression with VviNAC60. Supplemental Dataset S2. Protein sequences of NAC transcription factors from grapevine, tomato, and Arabidopsis as well as all those characterized in any other species. Supplemental Dataset S3. DAP-seq_All peaks VviNAC60. Supplemental Dataset S4. Differentially expressed genes in transgenic plants stably overexpressing VviNAC60. Supplemental Dataset S5. Differentially expressed genes in transgenic plants transiently overexpressing VviNAC60. Supplemental Dataset S6. High-confidence targets of VviNAC60 identified by combining DAP-seq data with transcriptomic analysis. Supplemental Dataset S7. DAP-seq_All peaks VviNAC03. Supplemental Dataset S8. DAP-seq_All peaks VviNAC33. Supplemental Dataset S9. Commonly bound genes identified in VviNAC03, VviNAC33, and VviNAC60 filtered datasets. Supplemental Methods S1. Gene co-expression network construction. Supplemental Methods S2. Phylogenetic analysis. Supplemental Methods S3. Isolation and cloning. Supplemental Methods S4. DAP-seq. Supplemental Methods S5. Western blot analysis. Supplemental Methods S6. Transgenic plants. Supplemental Methods S7. Internode length, leaf area and SPAD measurement. Supplemental Methods S8. Pigment analysis. Supplemental Methods S9. Ethylene and firmness measurement. Supplemental Methods S10. Electrolyte leakage assay. Supplemental Methods S11. Trypan blue and aniline blue staining., Peer reviewed

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DOI: http://hdl.handle.net/10261/339886
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/339886
HANDLE: http://hdl.handle.net/10261/339886
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/339886
PMID: http://hdl.handle.net/10261/339886
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oai:digital.csic.es:10261/339886
Ver en: http://hdl.handle.net/10261/339886
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oai:digital.csic.es:10261/339886

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/339901
Dataset. 2023

SUPPLEMENTAL INFORMATION CARTOCELL, A HIGH-CONTENT PIPELINE FOR 3D IMAGE ANALYSIS, UNVEILS CELL MORPHOLOGY PATTERNS IN EPITHELIA

  • Andrés-San Román, Jesús A.
  • Gordillo-Vázquez, Carmen
  • Franco-Barranco, Daniel
  • Morat, Laura
  • Fernández-Espartero, Cecilia H.
  • Baonza, Gabriel
  • Tagua, Antonio
  • Vicente-Munuera, Pablo
  • Palacios, Ana M.
  • Gavilán, María P.
  • Martín-Belmonte, Fernando
  • Annese, Valentina
  • Gómez-Gálvez, Pedro
  • Arganda-Carreras, Ignacio
  • Escudero, Luis M.
Document S1. Figures S1–S6 Table S1. Extracted features from 353 curated cysts (104 cysts at 4 days, 103 cysts at 7 days, 116 cysts at 10 days), related to Figure 2 Table S2. Hyperparameter search space for our proposed 3D ResU-Net, related to Figure 1 Table S3. Performance evaluation of our pipeline (CartoCell) on images of different epithelial tissues and comparison with other state-of-the-art segmentation methods, using the evaluation metrics described in STAR Methods, related to Figure 1 Table S4. Relative error between features extracted using automatically segmented cysts and manually curated cysts (STAR Methods), related to Figure 1 Table S5. Cyst morphology and scutoid location statistics, related to Figure 2 Table S6. Comparison of morphology and packing features of normoxic and hypoxic MDCK cysts, related to Figure 2 Table S7. Classification of the developmental stages of Drosophila egg chambers employed, related to Figure 3 Document S2. Article plus supplemental information, Peer reviewed

Proyecto: //
DOI: http://hdl.handle.net/10261/339901
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oai:digital.csic.es:10261/339901
HANDLE: http://hdl.handle.net/10261/339901
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oai:digital.csic.es:10261/339901
PMID: http://hdl.handle.net/10261/339901
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oai:digital.csic.es:10261/339901
Ver en: http://hdl.handle.net/10261/339901
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oai:digital.csic.es:10261/339901

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/339952
Dataset. 2023

SUPPLEMENTARY MATERIAL ROLE OF FOURTEEN XRE-DUF397 PAIRS FROM STREPTOMYCES COELICOLOR AS REGULATORS OF ANTIBIOTIC PRODUCTION AND DIFFERENTIATION. NEW PLAYERS IN A COMPLEX REGULATORY NETWORK

  • Riascos, Carolina
  • Martínez-Carrasco, Ana
  • Díaz, Margarita
  • Santamaría, Ramón I.
Peer reviewed

Proyecto: //
DOI: http://hdl.handle.net/10261/339952
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/339952
HANDLE: http://hdl.handle.net/10261/339952
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/339952
PMID: http://hdl.handle.net/10261/339952
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Ver en: http://hdl.handle.net/10261/339952
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oai:digital.csic.es:10261/339952

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/340017
Dataset. 2018

SUPPLEMENTARY INFORMATION: SUPPLEMENTARY DATA OF IDENTIFICATION AND VISUALIZATION OF DIFFERENTIAL ISOFORM EXPRESSION IN RNA-SEQ TIME SERIES

  • Nueda, María José
  • Martorell-Marugan, Jordi
  • Marti, Cristina
  • Tarazona, Sonia
  • Conesa, Ana
Peer reviewed

Proyecto: //
DOI: http://hdl.handle.net/10261/340017
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oai:digital.csic.es:10261/340017
HANDLE: http://hdl.handle.net/10261/340017
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/340017
PMID: http://hdl.handle.net/10261/340017
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oai:digital.csic.es:10261/340017
Ver en: http://hdl.handle.net/10261/340017
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oai:digital.csic.es:10261/340017

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/340056
Dataset. 2017

THE ALL-ROUNDER SODALIS SUPPLEMENTARY FILES

  • Santos-Garcia, Diego
  • Silva, Francisco J.
  • Morin, Shai
  • Dettner, Konrad
  • Kuechler, Stefan Martin
Supplementary Files containing script and files needed to reproduce the analysis performed in the manuscript entitled "The all-rounder Sodalis - a new bacteriome-associated endosymbiont of lygaeoid bug Henestaris halophilus (Heteroptera: Henestarinae) and a critical examination of its evolution"., Peer reviewed

Proyecto: //
DOI: http://hdl.handle.net/10261/340056
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/340056
HANDLE: http://hdl.handle.net/10261/340056
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/340056
PMID: http://hdl.handle.net/10261/340056
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oai:digital.csic.es:10261/340056

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/340085
Dataset. 2023

CORMEDNET- DISTRIBUTION AND DEMOGRAPHIC DATA OF HABITAT-FORMING INVERTEBRATE SPECIES FROM MEDITERRANEAN CORALLIGENOUS ASSEMBLAGES BETWEEN 1882 AND 2019 [DATASET]

  • Linares, Cristina
  • Figuerola, Laura
  • Gómez-Gras, D.
  • Pagès-Escolà, Marta
  • Olvera, Àngela
  • Aubach, Àlex
  • Amate, Roger
  • Figuerola, Blanca
  • Kersting, Diego K.
  • Ledoux, J. B.
  • López-Sanz, Àngel
  • López-Sendino, P.
  • Medrano, Alba
  • Garrabou, Joaquim
This dataset compiles data on geographic and depth distribution, demography, population and mortality, of different habitat-forming invertebrate species dwelling the Mediterranean coralligenous assemblages, Peer reviewed

Proyecto: //
DOI: http://hdl.handle.net/10261/340085
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/340085
HANDLE: http://hdl.handle.net/10261/340085
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oai:digital.csic.es:10261/340085
PMID: http://hdl.handle.net/10261/340085
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Ver en: http://hdl.handle.net/10261/340085
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Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/340114
Dataset. 2023

SUPPLEMENTARY MATERIALS. EFFECT OF STORAGE CONDITIONS ON THE STABILITY OF POLYPHENOLS OF APPLE AND STRAWBERRY PUREES PRODUCED AT INDUSTRIAL SCALE BY DIFFERENT PROCESSING TECHNIQUES

  • Salazar-Orbea, Gabriela L.
  • García-Villalba, Rocío
  • Bernal, María J.
  • Hernández, Alberto
  • Egea, José A.
  • Tomás Barberán, Francisco
  • Sánchez-Siles, Luis M.
(Table S1) phenolic compounds quantified in strawberry and apple samples; (Table S2) strawberry purees’ principal phenolic compounds after processing; (Table S3) strawberry purees’ minor phenolic compounds after processing; (Table S4) apple purees’ phenolic compounds after processing; (Table S5) color parameters (L*, Chroma, °Hue) and total color difference (ΔE) in strawberry purees after processing; (Table S6) color parameters (L*, Chroma, °Hue) and total color difference (ΔE) in apple purees after processing; (Table S7) sensory attributes (aroma, viscosity, flavor, color, overall evaluation assessed in a 9-point hedonic scale) in strawberry purees after processing; (Table S8) sensory attributes (aroma, viscosity, flavor, color assessed in a 9-point hedonic scale) in apple purees after processing, Peer reviewed

Proyecto: //
DOI: http://hdl.handle.net/10261/340114
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/340114
HANDLE: http://hdl.handle.net/10261/340114
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/340114
PMID: http://hdl.handle.net/10261/340114
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/340114
Ver en: http://hdl.handle.net/10261/340114
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oai:digital.csic.es:10261/340114

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