Resultados totales (Incluyendo duplicados): 33743
Encontrada(s) 3375 página(s)
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/311157
Dataset. 2022

SUPPLEMENTARY TABLES AND FIGURES "PAST, PRESENT AND FUTURE OF THE BOUNDARIES OF THE PSEUDOMONAS GENUS: PROPOSAL OF STUTZERIMONAS GEN. NOV."

  • Lalucat, Jorge
  • Gomila, Margarita
  • Mulet, Magdalena
  • Zaruma, Anderson
  • García-Valdés, Elena
18 pages. -- The file contais 2 tables and 3 figures: Table S1. List of strains organized in groups following the core-genome phylogeny; genome characteristics and accession numbers; Table S2. List of the housekeeping genes (marked with dots) used for the reconstruction of the phylogenetic trees based on 120 universal gene sequences (Fig. S2), on 90 selected universal genes (Fig. 2) and 83 gene sequences selected in the autoMLST analysis and based (Fig. 3); Figure S1. 16S rRNA-based phylogenetic tree of the Pseudomonadaceae type strains analyzed in the present study. Sequences are 1,380 nt long. Distance matrix was generated by Jukes and Cantor method (JC) and the tree was reconstructed with neighbor-joining (NJ) as implemented in the MEGA package. Bootstrap values higher than 50 from 100 replicates are indicated in the nodes. To facilitate viewing, the tree has been divided into sections: the collapsed tree; Fig. S1a and S1b with the P. fluorescens, P. lutea, P. syringae and P. putida groups; Fig. S1c with the other phylogenetic groups.; Figure S2. Phylogenetic tree obtained at the AnnoTree web site, a web tool to facilitate visualization of genome annotations in which phylogenetic and taxonomy information is derived from the GTDB database. The tree was downloaded in Newick format and visualized with MEGA.; Figure S3. UPGMA dendrogram representing the POCP and AAI values of representative strains of the phylogenetic branches., Peer reviewed

Proyecto: //
DOI: http://hdl.handle.net/10261/311157
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/311157
HANDLE: http://hdl.handle.net/10261/311157
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/311157
PMID: http://hdl.handle.net/10261/311157
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/311157
Ver en: http://hdl.handle.net/10261/311157
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/311157

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/311159
Dataset. 2022

EFFECT OF SPATIAL INHOMOGENEITY ON QUANTUM TRAPPING [DATASET]

  • Esteso, Victoria
  • Carretero-Palacios, Sol
  • Míguez, Hernán
An object that is immersed in a fluid and approaching a substrate may find a potential energy minimum at a certain distance due to the balance between attractive and repulsive Casimir–Lifshitz forces, a phenomenon referred to as quantum trapping. This equilibrium depends on the relative values of the dielectric functions of the materials involved. Herein, we study quantum trapping effects in planar nanocomposite materials and demonstrate that they are strongly dependent on the characteristics of the spatial inhomogeneity. As a model case, we consider spherical particles embedded in an otherwise homogeneous material. We propose an effective medium approximation that accounts for the effect of inclusions and find that an unprecedented and counterintuitive intense repulsive Casimir–Lifshitz force arises as a result of the strong optical scattering and absorption size-dependent resonances caused by their presence. Our results imply that the proper analysis of quantum trapping effects requires comprehensive knowledge and a detailed description of the potential inhomogeneity (caused by imperfections, pores, inclusions, and density variations) present in the materials involved., Peer reviewed

Proyecto: //
DOI: http://hdl.handle.net/10261/311159
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/311159
HANDLE: http://hdl.handle.net/10261/311159
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/311159
PMID: http://hdl.handle.net/10261/311159
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/311159
Ver en: http://hdl.handle.net/10261/311159
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/311159

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/311166
Dataset. 2022

SUPPLEMEMTARY FILES OF THE ARTICLE "NOVEL GENES AND SEX DIFFERENCES IN COVID-19 SEVERITY" [DATASET]

  • Cruz Modino, Raquel de la
  • Diz-de Almeida, Silvia
  • López de Heredia, Miguel
  • Quintela, Inés
  • Ceballos, Francisco C.
  • Pita, Guillermo
  • Lorenzo-Salazar, José M.
  • González-Montelongo, Rafaela
  • Gago-Dominguez, Manuela
  • Sevilla Porras, Marta
  • Tenorio Castaño, Jair Antonio
  • Aguado, José María
  • Amitrano, Sara
  • Roade, Luisa
  • Fava, Francesca
  • Spinner, Christoph D.
  • Prati, Daniele
  • Bernardo, David
  • García, Federico
  • Darcis, Gilles
  • Fernández-Cadenas, Israel
  • Calderón, Enrique J.
  • Holter, Jan Cato
  • Aguilar, Carlos
  • Banales, Jesus M.
  • Frithiof, Robert
  • Duga, Stefano
  • Asselta, Rosanna
  • Pereira, Alexandre C.
  • Romero-Gómez, Manuel
  • Nafría-Jiménez, Beatriz
  • Hov, Johannes R.
  • Carbonell, Cristina
  • Migeotte, Isabelle
  • Renieri, Alessandra
  • Aguilera-Albesa, Sergio
  • Planas, Anna M.
  • Ludwig, Kerstin U.
  • Buti, María
  • Rahmouni, Souad
  • Alarcón-Riquelme, Marta E.
  • Schulte, Eva C.
  • Franke, Andre
  • Castaño, Luis
  • Karlsen, Tom H.
  • Valenti, Luca
  • Zeberg, Hugo
  • Almadana Pacheco, Virginia
  • Richards, Brent
  • Ganna, Andrea
  • Boada, Mercè
  • Rojas, Itziar de
  • Ruiz, Agustín
  • Sánchez-Juan, Pascual
  • Castelao, Jose E.
  • Real, Luis Miguel
  • SCOURGE Cohort Group
  • HOSTAGE Cohort Group
  • GRA@CE Cohort Group
  • Almoguera, Berta
  • Guillen-Navarro, Encarna
  • Ayuso, Carmen
  • González-Neira, Anna
  • Riancho, José A.
  • Rojas-Martinez, Augusto
  • Conde-Vicente, Rosa
  • Flores, Carlos
  • Lapunzina, Pablo
  • Carracedo, Àngel
  • Álvarez, Nuria
  • Andreu-Bernabeu, Álvaro
  • Arana-Arri, Eunate
  • Arango, Celso
  • Arranz, Maria J.
  • Artiga, María Jesús
  • Baptista-Rosas, Raúl C.
  • Cordero-Lorenzana, M. Lourdes
  • Barreda-Sánchez, María
  • Belhassen-García, Moncef
  • Bezerra, Joao F.
  • Bezerra, Marcos A. C.
  • Boix-Palop, Lucía
  • Briones, María
  • Brugada, Ramón
  • Bustos, Matilde
  • Cortés-Sánchez, José L.
  • Cortón, Marta
  • Darnaude, M. Teresa
  • Martino-Rodríguez, Alba de
  • Tamayo, Eduardo
  • Campo-Pérez, Víctor de
  • Diaz de Bustamante, Aranzazu
  • Domínguez-Garrido, Elena
  • Luchessi, Andre D.
  • Eiros, Rocío
  • Estigarribia Sanabria, Gladys Mercedes
  • Fariñas, María del Carmen
  • Fernández-Robelo, Uxía
  • Fernández-Rodríguez, Amanda
  • Fernández-Villa, Tania
  • Tamayo-Velasco, Álvaro
  • Gil-Fournier, Belén
  • Gómez-Arrue, Javier
  • González Álvarez, Beatriz
  • Gonzalez Bernaldo de Quirós, Fernán
  • González-Peñas, Javier
  • Gutiérrez-Bautista, Juan F.
  • Herrero, María José
  • Herrero-Gonzalez, Antonio
  • Jiménez-Sousa, María A.
  • Lattig, María Claudia
  • Taracido-Fernandez, Juan Carlos
  • Liger Borja, Anabel
  • López-Rodríguez, Rosario
  • Mancebo, Esther
  • Martín-López, Caridad
  • Martín, Vicente
  • Martínez-Nieto, Oscar
  • Martinez-López, Icíar
  • Martinez-Resendez, Michel F.
  • Martínez-Pérez, Àngel
  • Mazzeu, Juliana F
  • Teper, Alejandro
  • Merayo Macías, Eleuterio
  • Mínguez, Pablo
  • Moreno Cuerda, Víctor
  • Silbiger, Vivian N.
  • Oliveira, Silviene F.
  • Ortega-Paino, Eva
  • Parellada, Mara
  • Paz-Artal, Estela
  • Santos, Ney P. C.
  • Pérez-Matute, Patricia
  • Torres-Tobar, Lilian
  • Pérez, Patricia
  • Pérez-Tomás, M. Elena
  • Perucho, Teresa
  • Pinsach-Abuin, Mel Lina
  • Pompa-Mera, Ericka N.
  • Porras-Hurtado, Gloria L.
  • Pujol, Aurora
  • Ramiro León, Soraya
  • Resino, Salvador
  • Fernandes, Marianne R.
  • Urioste, Miguel
  • Rodríguez-Ruiz, Emilio
  • Rodríguez-Artalejo, Fernando
  • Rodríguez-García, José A
  • Ruiz Cabello, Francisco
  • Ruiz-Hornillos, Javier
  • Ryan, Pablo
  • Soria, José Manuel
  • Souto, Juan Carlos
  • Valencia-Ramos, Juan
  • Yáñez, Zuleima
  • Zarate, Ruth
  • Nakanishi, Tomoko
  • Nevado, Julian
  • Pigazzini, Sara
  • Degenhardt, Frauke
  • Butler-Laporte, Guillaume
  • Maya-Miles, Douglas
  • Bujanda, Luis
  • Bouysran, Youssef
  • Palom, Adriana
  • Ellinghaus, David
  • Martínez-Bueno, Manuel
  • Rolker, Selina
Table of Content 1. Supplemental Figures 2. Supplemental Note a. Research electronic data capture (REDCap) b. Genetic risk score and multinomial regression on severity scale c. Evaluating the associations of leading SNPs in relation with comorbidities d. Measuring genome-specific effects on COVID-19 severity and hospitalization 3. Supplemental references 4. A full list of cohort members and affiliations a. SCOURGE cohort group b. HOSTAGE cohort group c. GR@ACE cohort group, Peer reviewed

Proyecto: //
DOI: http://hdl.handle.net/10261/311166
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/311166
HANDLE: http://hdl.handle.net/10261/311166
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/311166
PMID: http://hdl.handle.net/10261/311166
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/311166
Ver en: http://hdl.handle.net/10261/311166
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/311166

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/311172
Dataset. 2022

ANTI-INFLAMMATORY AND NEUROPROTECTIVE EVALUATION OF DIVERSE MICROALGAE EXTRACTS ENRICHED IN CAROTENOIDS: APPENDIX A. SUPPLEMENTARY DATA

  • Gallego, Rocío
  • Valdés, Alberto
  • Suárez Montenegro, Zully J.
  • Sánchez-Martínez, J. David
  • Cifuentes, Alejandro
  • Ibáñez, Elena
  • Herrero, Miguel
Supplementary figures., Peer reviewed

Proyecto: //
DOI: http://hdl.handle.net/10261/311172
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/311172
HANDLE: http://hdl.handle.net/10261/311172
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/311172
PMID: http://hdl.handle.net/10261/311172
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/311172
Ver en: http://hdl.handle.net/10261/311172
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/311172

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/311174
Dataset. 2022

SUPPLEMENTARY MATERIALS FOR ANTIOXIDANT POTENTIAL OF THE SWEET WHEY-BASED BEVERAGE COLADA AFTER THE DIGESTIVE PROCESS AND RELATIONSHIPS WITH THE LIPID AND PROTEIN FRACTIONS

  • García-Casas, Victoria E.
  • Seiquer, Isabel
  • Pardo, Zaira
  • Haro, Ana
  • Recio, Isidra
  • Olías, Raquel
The supporting information: Table S1, Discriminant sensory analysis of different formulations of Colada; Table S2, Hedonic evaluation of Colada (15% Maracuyá juice) by consumers. Figure S1. Chromatogram (GC) of fatty acid methyl esters (FAME) of the whey-beverage (Colada) before the in vitro digestion. Figure S2. Chromatogram (GC) of fatty acid methyl esters (FAME) of the whey-beverage (Colada) after the in vitro digestion (bioaccessible fraction). Figure S3. Chromatogram (HPLC) of amino acids of the whey-beverage (Colada) (acid hydrolysis). Figure S4. Chromatogram (HPLC) of amino acids of the whey-beverage (Colada) (performic oxidation), Peer reviewed

Proyecto: //
DOI: http://hdl.handle.net/10261/311174
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/311174
HANDLE: http://hdl.handle.net/10261/311174
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/311174
PMID: http://hdl.handle.net/10261/311174
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/311174
Ver en: http://hdl.handle.net/10261/311174
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/311174

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/311182
Dataset. 2022

VISUALIZATION OF SAUR63:YFP:HA FUSION PROTEIN VARIANTS IN COTYLEDONS

  • Nagpal, Punita
  • Reeves, Paul H.
  • Wong, Jeh Haur
  • Armengot, Laia
  • Chae, Keun
  • Rieveschl, Nathaniel B.
  • Trinidad, Brendan
  • Davidsdottir, Vala
  • Jain, Prateek
  • Gray, William M.
  • Jaillais, Yvon
  • Reed, Jason W.
1 figure., A-M) Confocal images showing YFP fluorescence of transgenic lines expressing the indicated fusion proteins behind the P35S promoter. Scale bar, 20 μm., Peer reviewed

Proyecto: //
DOI: http://hdl.handle.net/10261/311182
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/311182
HANDLE: http://hdl.handle.net/10261/311182
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/311182
PMID: http://hdl.handle.net/10261/311182
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/311182
Ver en: http://hdl.handle.net/10261/311182
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/311182

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/311185
Dataset. 2022

SUPPLEMENTARY MATERIALS FOR IN VITRO DIGESTIBILITY AND BIOACCESSIBILITY OF NUTRIENTS AND NON-NUTRIENTS COMPOSING EXTRUDED BREWERS’ SPENT GRAIN

  • Gutiérrez-Barrutia, María Belén
  • Cozzano Ferreira, Sonia
  • Arcia, Patricia
  • Castillo, M. Dolores del
The following supporting information: Figure S1: IEC-6 viability for DBSG and DEBSG. *shows significant differences with positive control (C+) (p < 0.05). Figure S2: IEC-6 viability for ferulic acid. Figure S3: RAW 264.7 viability for DBSG and DEBSG. *shows significant differences with positive control (C+) (p < 0.05). Figure S4: RAW264.7 viability for ferulic acid. Figure S5: Maltose released from potato starch due to α-amylase activity of rat intestinal extract. Figure S6: p-Nitrophenyl released due to α-glucosidase activity of rat intestinal extract. Figure S7: Glucose released from sucrose due to sucrose activity of rat intestinal extract., Peer reviewed

Proyecto: //
DOI: http://hdl.handle.net/10261/311185
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/311185
HANDLE: http://hdl.handle.net/10261/311185
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/311185
PMID: http://hdl.handle.net/10261/311185
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/311185
Ver en: http://hdl.handle.net/10261/311185
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/311185

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/311190
Dataset. 2022

LOCALIZATION OF SAUR63:YFP:HA VARIANTS IN NICOTIANA BENTHAMIANA LEAF CELLS

  • Nagpal, Punita
  • Reeves, Paul H.
  • Wong, Jeh Haur
  • Armengot, Laia
  • Chae, Keun
  • Rieveschl, Nathaniel B.
  • Trinidad, Brendan
  • Davidsdottir, Vala
  • Jain, Prateek
  • Gray, William M.
  • Jaillais, Yvon
  • Reed, Jason W.
1 figure., A-L) Confocal images showing YFP fluorescence of indicated SAUR63:YFP:HA variants expressed in transiently transformed N. benthamiana leaves. Scale bar, 20 μm., Peer reviewed

Proyecto: //
DOI: http://hdl.handle.net/10261/311190
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/311190
HANDLE: http://hdl.handle.net/10261/311190
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/311190
PMID: http://hdl.handle.net/10261/311190
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/311190
Ver en: http://hdl.handle.net/10261/311190
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/311190

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/311194
Dataset. 2022

EFFECTS OF N-TERMINAL ALTERATIONS ON PROTEIN LEVELS AND FRACTIONATION OF SAUR63:YFP:HA FUSION PROTEINS

  • Nagpal, Punita
  • Reeves, Paul H.
  • Wong, Jeh Haur
  • Armengot, Laia
  • Chae, Keun
  • Rieveschl, Nathaniel B.
  • Trinidad, Brendan
  • Davidsdottir, Vala
  • Jain, Prateek
  • Gray, William M.
  • Jaillais, Yvon
  • Reed, Jason W.
1 figure., A-E) Protein levels in multiple P35S:SAUR63:YFP:HA, P35S:SAUR6326-142:YFP:HA, and P35S:CBL11-12:SAUR6326-142:YFP:HA pooled T2 seedlings from different T1 transformants. The blot in panel E shows protein extracts from selected genotypes in panels A-D for side-by-side comparison in the same experiment. F,G) SAUR63:YFP:HA, SAUR6326-142:YFP:HA, SAUR631-25:YFP:HA, CBL11-12:SAUR6326-142:YFP:HA, and SAUR63m2:YFP:HA fusion proteins, detected by western blots in total (T), soluble (S) and microsomal (M) protein fractions. Lower panels show controls for loading or fractionation. α-HA detects SAUR63 fusion protein; α-AHA2 detects a membrane protein; α-UGPase and α-APX detect soluble proteins. Arrows indicate position of full-sized SAUR63:YFP:HA fusion proteins. FL, Full-length SAUR63:YFP:HA fusion protein. wt, wild-type Columbia lacking any transgene. In genotype designations, S63 is short for SAUR63. Letters and numbers after genotype designations indicate independent transgenic lines. H) Amount of SAUR63:YFP:HA and SAUR6326-142:YFP:HA proteins in whole seedling extracts at indicated times after start of cycloheximide treatment to block new protein synthesis. Fusion proteins were detected by western blots using anti-HA antibody. The Rubisco large subunit band from Ponceau S staining of the same gels is shown as a loading control. A repeat of this experiment gave a very similar result. In the lower gel, the larger band is the presumed intact SAUR6326-142:YFP:HA protein, and the lower band is a presumed smaller breakdown product. In genotype labels, S63 denotes SAUR63, letters and numbers after genotype names indicate distinct transgenic lines, FL denotes a strong full-length P35S:SAUR63:YFP:HA line used as a common standard line in most experiments, and wt indicates wild-type Columbia lacking any transgene., Peer reviewed

Proyecto: //
DOI: http://hdl.handle.net/10261/311194
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/311194
HANDLE: http://hdl.handle.net/10261/311194
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/311194
PMID: http://hdl.handle.net/10261/311194
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/311194
Ver en: http://hdl.handle.net/10261/311194
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/311194

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/311195
Dataset. 2022

POLLUTION INDUCES EPIGENETIC EFFECTS THAT ARE STABLY TRANSMITTED ACROSS MULTIPLE GENERATIONS [DATASET]

  • Harney, Ewan
  • Paterson, Steve
  • Collin, Hélène
  • Chan, Brian H.K.
  • Bennett, Daimark
  • Plaistow, Stewart J.
[Methods] Please refer to the article "Pollution induces epigenetic effects that are stably transmitted across multiple generations" for information about methods. [Usage notes] Please refer to the README file for information about data and R scripts., It has been hypothesised that the effects of pollutants on phenotypes can be passed to subsequent generations through epigenetic inheritance, affecting populations long after the removal of a pollutant. But there is still little evidence that pollutants can induce persistent epigenetic effects in animals. Here we show that low doses of commonly used pollutants induce genome-wide differences in cytosine methylation in the freshwater crustacean Daphnia pulex. Uniclonal populations were either continually exposed to pollutants or switched to clean water, and methylation was compared to control populations that did not experience pollutant exposure. While some direct changes to methylation were only present in the continually exposed populations, others were present in both the continually exposed and switched to clean water treatments, suggesting that these modifications had persisted for seven months (> 15 generations). We also identified modifications which were only present in the populations that had switched to clean water, indicating a long-term legacy of pollutant exposure distinct from the persistent effects. Pollutant-induced differential methylation tended to occur at sites that were highly methylated in controls. Modifications that were observed in both continually and switched treatments were highly methylated in controls and showed reduced methylation in the treatments. On the other hand, modifications found just in the switched treatment tended to have lower levels of methylation in the controls and showed increase methylation in the switched treatment. In a second experiment we confirmed that sub-lethal doses of the same pollutants generate effects on life-histories for at least three generations following the removal of the pollutant. Our results demonstrate that even low doses of pollutants can induce transgenerational epigenetic effects that are stably transmitted over many generations. Persistent effects are likely to influence phenotypic development, which could contribute to the rapid adaptation, or extinction, of populations confronted by anthropogenic stressors., NERC, Award: NE/I024437/1. Natural Environment Research Council, Award: NE/N016017/1., Peer reviewed

Proyecto: //
DOI: http://hdl.handle.net/10261/311195
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/311195
HANDLE: http://hdl.handle.net/10261/311195
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/311195
PMID: http://hdl.handle.net/10261/311195
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/311195
Ver en: http://hdl.handle.net/10261/311195
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/311195

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