Resultados totales (Incluyendo duplicados): 33514
Encontrada(s) 3352 página(s)
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/335929
Dataset. 2023

SUPPLEMENTARY INFORMATION PLK1 REGULATES CTIP AND DNA2 INTERPLAY IN LONG-RANGE DNA END RESECTION

  • Ceppi, Ilaria
  • Cannavo, Elda
  • Bret, Hélène
  • Camarillo, Rosa
  • Vivalda, Francesca
  • Thakur, Roshan Singh
  • Romero-Franco, Amador
  • Sartori, Alessandro A.
  • Huertas Sánchez, Pablo
  • Guérois, Raphaël
  • Cejka, Petr
Supplementary Figure 1-6 Supplementary Table 1-4 Supplementary Material and Methods, Peer reviewed

Proyecto: //
DOI: http://hdl.handle.net/10261/335929
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oai:digital.csic.es:10261/335929
HANDLE: http://hdl.handle.net/10261/335929
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/335929
PMID: http://hdl.handle.net/10261/335929
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/335929
Ver en: http://hdl.handle.net/10261/335929
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oai:digital.csic.es:10261/335929

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/335964
Dataset. 2023

NOVEL INSIGHTS ON THE CONTRIBUTION OF PLASTOGLOBULES AND REACTIVE OXYGEN SPECIES TO CHROMOPLAST DIFFERENTIATION [DATASET]

  • Morelli, Luca
  • Torres-Montilla, Salvador
  • Glauser, Gaétan
  • Shanmugabalaji, Venkatasalam
  • Kessler, Felix
  • Rodríguez-Concepción, Manuel
6 pages. -- The following Supporting Information is available for this article: Fig. S1. Transcript abundance of the indicated genes in GFP and crtB samples at 96 hpi. -- Fig. S2. Changes in qP and qL during chromoplastogenesis in W50 and W500 samples. -- Table S1. Accessions of N. benthamiana genes encoding isoprenoid biosynthetic enzymes. -- Table S2. Accessions of N. benthamiana genes encoding plastid proteins. -- Table S3. Primers used in this work., Peer reviewed

Proyecto: //
DOI: http://hdl.handle.net/10261/335964
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/335964
HANDLE: http://hdl.handle.net/10261/335964
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/335964
PMID: http://hdl.handle.net/10261/335964
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/335964
Ver en: http://hdl.handle.net/10261/335964
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oai:digital.csic.es:10261/335964

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/335967
Dataset. 2023

SUPPLEMENTARY INFORMATION OF THE ARTICLE POLLEN TUBE EMERGENCE IS MEDIATED BY OVARY-EXPRESSED ALCATRAZ IN CUCUMBER

  • Cheng, Zhihua
  • Liu, Xiaofeng
  • Yan, Shuangshuang
  • Liu, Bin
  • Zhong, Yanting
  • Song, Weiyuan
  • Chen, Jiacai
  • Wang, Zhongyi
  • Che, Gen
  • Liu, Liu
  • Ying, Ao
  • Lv, Hanli
  • Han, Lijie
  • Li, Min
  • Zhao, Jianyu
  • Xu, Junqiang
  • Yang, Zhengan
  • Zhou, Zhaoyang
  • Zhang, Xiaolan
Figures and tables. -- Supplementary Figure 1. Sequence analyses for CsALC. -- Supplementary Figure 2 Comparison of WT and Csalc mutants in plant growth, fruit length and pollen viability. -- Supplementary Figure 3 Comparison of pollen tube extension in WT and Csalc mutants. -- Supplementary Figure 4 Transcriptomic analyses of Csalc mutant and WT ovaries. -- Supplementary Figure 5 Phylogenetic and sequence analyses for CsRALF4 and CsRALF19 gene. -- Supplementary Figure 6 qPCR analysis of CsRALF4/19 and CsSPT in Csalc mutants. -- Supplementary Figure 7 CsALC promoted CsRALF4/19 expression in vivo. -- Supplementary Figure 8 The region surrounding CsALC gene was selected during cucumber domestication. -- Supplementary Figure 9 The comparison of pollen tube extension in Csspt and Csalc mutants. -- Supplementary Data 1: Primer information. -- Supplementary Data 2: SPT and ALC homologues among angiosperms. -- Supplementary Data 3: DEGs between Csalc mutants and WT. -- Supplementary Data 4: G-box distribution in Csalc DEG promoters., 41467_2023_35936_MOESM1_ESM.pdf, 41467_2023_35936_MOESM2_ESM.pdf, 41467_2023_35936_MOESM3_ESM.xlsx, 41467_2023_35936_MOESM4_ESM.xlsx, 41467_2023_35936_MOESM5_ESM.xlsx, 41467_2023_35936_MOESM6_ESM.xlsx, Peer reviewed

Proyecto: //
DOI: http://hdl.handle.net/10261/335967
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/335967
HANDLE: http://hdl.handle.net/10261/335967
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/335967
PMID: http://hdl.handle.net/10261/335967
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/335967
Ver en: http://hdl.handle.net/10261/335967
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oai:digital.csic.es:10261/335967

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/335977
Dataset. 2023

APPENDIX A-B. SUPPLEMENTARY DATA FOR RAPID RESPONSE DATA-DRIVEN RECONSTRUCTIONS FOR STORM SURGE AROUND NEW ZEALAND

  • Tausía, J.
  • Delaux, Sebastien
  • Camus, Paula
  • Rueda, A.
  • Méndez, F. J.
  • Bryan, K. R.
  • Pérez, J.
  • Costa, C.G.R.
  • Zyngfogel, R.
  • Cofiño, Antonio S.
MMC S1. Additional validation metrics and explanations for the models used are provided online as Supplementary Material., Peer reviewed

Proyecto: //
DOI: http://hdl.handle.net/10261/335977
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/335977
HANDLE: http://hdl.handle.net/10261/335977
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/335977
PMID: http://hdl.handle.net/10261/335977
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/335977
Ver en: http://hdl.handle.net/10261/335977
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oai:digital.csic.es:10261/335977

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/335980
Dataset. 2023

SUPPLEMENTARY INFORMATION FOR: RIBOSWITCH-GUIDED CHALCONE SYNTHASE ENGINEERING AND METABOLIC FLUX OPTIMIZATION FOR ENHANCED PRODUCTION OF FLAVONOIDS

  • Hwang, Hyun Gyu
  • Milito, Alfonsina
  • Yang, Jae-Seong
  • Jang, Sungho
  • Jung, Gyoo Yeol
32 pages. -- Figures and tables. -- Figure S1. Analysis of chalcone synthase structure for identification of substrate binding sites (PDB ID: 1CGK). -- Figure S2. Sequence alignment (Sievers et al., 2011) between Chalcone synthase (CHS) from Medicago sativa and Petunia hybrida. -- Figure S3. Measurement of intra- and extracellular concentrations of chalcone and naringenin in cells. -- Figure S4. Dependence of naringenin concentration and fluorescence intensity on the expression level of chs. -- Figure S5. Evaluation of naringenin production of mutants of each cluster with higher fluorescence than the parental strain in multi-well plates. -- Figure S6. Evaluation of beneficial mutants of four clusters in 3-mL test tubes which produced higher naringenin concentrations than the parental strain in multi-well plates. -- Figure S7. Evaluation of mutant libraries with beneficial mutations of each cluster in multi-well plates. -- Figure S8. Evaluation of beneficial mutants in 3-mL test tubes which produced higher naringenin concentrations than the parental strain in multi-well plates. -- Figure S9. Evaluation of enriched mutants through FACS-based screening. -- Figure S10. Accumulation of acetic acid in the parental strain and the CHSopt. Acetic acid production of the parental strain. -- Figure S11. Docking interactions of naringenin in CHS enzyme. -- Figure S12. Analysis of variants with the mutations of cluster 4. -- Figure S13. Effects of the repression of fabHDG expression on cell growth and naringenin production. -- Figure S14. Validation of the naringenin-production capacity of Parental-FRU3, CHSopt-FRU1, 2, 4, and 5 in flask cultures. -- Table S1. Previous studies on naringenin biosynthesis in similar cultivation conditions. -- Table S2. Strains and plasmids used in this study. -- Table S3. Oligonucleotides used in this study. -- Table S4. Information of T7 mutant promoters used in Fig S4. -- Table S5. Rational design of mutant libraries for four clusters in chs gene based on conservation of amino acids in chs and information of chalcone synthase homologs. -- Table S6. Sequence information of screened mutants from each cluster in chs through plate-based screening in Fig. S4. -- Table S7. Sequence information and naringenin production of screened variants from mutant libraries with combinations of beneficial mutations of each cluster through plate-based screening in Fig. S8. -- Table S8. Analysis of sequence information of screened variants through FACS-based screening in Fig S9. -- Table S9. Kinetic parameters of T132G and T132S/S133C in the CHS mutants. -- Table S10. Docking simulations summary. -- Table S11. 5'-UTR sequences and predicted expression levels of UTR variants used in this study., Peer reviewed

Proyecto: //
DOI: http://hdl.handle.net/10261/335980
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/335980
HANDLE: http://hdl.handle.net/10261/335980
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/335980
PMID: http://hdl.handle.net/10261/335980
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/335980
Ver en: http://hdl.handle.net/10261/335980
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oai:digital.csic.es:10261/335980

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/335989
Dataset. 2023

SUPPLEMENTARY MATERIALS THOROUGH CHARACTERIZATION OF ETHQB3.5, A QTL INVOLVED IN CLIMACTERIC BEHAVIOR AND AROMA VOLATILE COMPOSITION LOCATED ON CHROMOSOME 3 OF MELON GENOME

  • Dos-Santos, Noelia
  • Bueso, María C.
  • Díaz, Aurora
  • Moreno, Eduard
  • García-Mas, Jordi
  • Monforte, Antonio J.
  • Fernández-Trujillo, Juan Pablo
Supplementary Figure S1. Respiration rate (RR) and ethylene production (EP) in Near-Isogenic Line SC3-5-13 (mean ± SE, n=3) during postharvest ripening at 21ºC and relative humidity of 66±6% during 10 days (season 2). -- Table S1. List of molecular markers used in this study and located in MELOGEN v4.0 (Castanera et al., 2020). -- Table S2. Melon graphical genotype of the NILs used in this study. -- Table S3. List of genes, description and properties obtained from MELOGEN database v4.0 that were covered by molecular markers in the region of the QTL of the climacteric ETHQB3.5. -- Table S4. Chemical and sensory attributes of the main melon fruit volatile compounds used for QTL mapping in melon chromosome 3 identified in the five melon Near-Isogenic Lines (NILs) and the parental control ‘Piel de Sapo’ (PS) as reported in Table 2. -- Table S5. Main fruit volatile compounds identified in the headspace from the non-climacteric Near-Isogenic Line SC3-5-7 and the parental line ‘Piel de Sapo’ (PS) (n=5 and n=21, respectively) for QTL mapping in melon chromosome 3. -- Table S6. Chemical and sensory attributes of each group of the individual volatile compounds obtained in the first five groups of the correlation network analysis (Fig. 4; Table 5), Dos-Santos Figure S1. RR EP SC3-5-13 final2.pdf, Dos-Santos Tables S1-S6 FOODSv20FINAL.xlsx, Peer reviewed

Proyecto: //
DOI: http://hdl.handle.net/10261/335989
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/335989
HANDLE: http://hdl.handle.net/10261/335989
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/335989
PMID: http://hdl.handle.net/10261/335989
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oai:digital.csic.es:10261/335989

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/336035
Dataset. 2021

DATA FOR THE IMPACT OF DIFFERENT COLLABORATION STRUCTURES AMONG PROMINENT RESEARCHERS IN EUROPE AND NORTH AMERICA

  • Danús, Lluís
Bibliometric data from Scopus about the 800 prominent researchers in the study. Each folder corresponds to a field and contains two archives: - Scopus.csv : The name, Scopus ID, Affiliation, Total number of publications and Total number of collaborators of all the authors of the field - dfPapers.csv : The title, Number of citations, authors ids and year of publication of all the papers (non repeated) in the field, Peer reviewed

Proyecto: //
DOI: http://hdl.handle.net/10261/336035
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/336035
HANDLE: http://hdl.handle.net/10261/336035
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/336035
PMID: http://hdl.handle.net/10261/336035
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/336035
Ver en: http://hdl.handle.net/10261/336035
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oai:digital.csic.es:10261/336035

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/336044
Dataset. 2023

SUPPLEMENTARY MATERIALS. DETECTION OF XYLELLA FASTIDIOSA IN HOST PLANTS AND INSECT VECTORS BY DROPLET DIGITAL PCR

  • Amoia, Serafina Serena
  • Minafra, Angelantonio
  • Ligorio, Angela
  • Cavalieri, Vincenzo
  • Boscia, Donato
  • Saponari, Maria
  • Loconsole, Giuliana
Beyond Xylella, Integrated Management Strategies for Mitigating Xylella fastidiosa Impact in Europe (BeXyl) (Grant Agreement 101060593). Partner/Coordinador principal: Blanca B. Landa del Castillo, Investigadora Científica del Instituto de Agricultura Sostenible (IAS-CSIC)., Figure S1: Assessment of optimal olive and insect DNA amount in ddPCR reaction mix; Figure S2: Calibration curves of qPCR; Figure S3: Linear regression curves of the ddPCR assay., Peer reviewed

DOI: http://hdl.handle.net/10261/336044
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/336044
HANDLE: http://hdl.handle.net/10261/336044
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/336044
PMID: http://hdl.handle.net/10261/336044
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Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/336070
Dataset. 2022

DATA PRODUCTS OF "THE DEMOGRAPHICS OF OBSCURED AGN FROM X-RAY SPECTROSCOPY GUIDED BY MULTIWAVELENGTH INFORMATION"

  • Laloux, Brivael
  • Georgakakis, Antonis
  • Andonie, Carolina
  • Alexander, David M.
  • Ruiz, Angel
  • Rosario, David J.
  • Aird, James
  • Buchner, Johannes
  • Carrera, Francisco J.
  • Lapi, Andrea
  • Ramos-Almeida, Cristina
  • Salvato, Mara
  • Shankar, Francesco
In Laloux et al. (2022, in prep), we developed an approach to guide AGN X-ray spectroscopy with multi-wavelength data. The abstract of the paper is in the additional notes. We extracted and fitted the X-ray spectra of 2965 AGN within the Chandra COSMOS Legacy survey. Here, we release the data of our results: - spectral_extraction_info.fits contains the information relative to the spectral extraction and is described and partially displayed in Table 2 of the original paper. The table contains the information of the 2965 sources and has 11 columns: ['ID', 'RA', 'Dec', 'RA_optical', 'DEC_optical', 'EEF', 'radius_src', 'cts057', 'cts_bkg', 'hard_flag', 'ID_L18']. They correspond to: (1) source ID; (2-3) X-ray position; (4-5) optical counterpart position; (6) EEF used for extraction in percent units; (7) source radius in arcsecond; (8) $0.5-7$keV net photon counts of the source; (9) the net photon counts of the background in all energy band; (10) flag indicating if the source is detected in the hard band (2-7keV); (11) source ID in Lanzuisi et al. (2018) if cross-matched. - fit_info.fits contains the information relative to the X-ray spectroscopic analysis and is described and partially displayed in Table 6 of the original paper. The tables also contains 2965 sources and has 19 columns: ['ID', 'z', 'ztype', 'logLx', 'logLxlo', 'logLxhi', 'logNH', 'logNHlo', 'logNHhi', 'gamma', 'gammalo', 'gammahi', 'CT_candidate', '2-peaked', 'ID_Jin', 'logL6um', 'logL6umlo', 'logL6umhi', 'upperlimits']. They correspond to: (1) source ID; (2) redshift; (3) redshift type: spectroscopic, photometric or None; (4-6) X-ray 2-10keV logarithmic luminosity and its 1-$\sigma$ lower and upper limit; (7-9) logarithmic column density $N_{\rm H}$ and its 1-$\sigma$ lower and upper limit; (10-12) photon index $\Gamma$ and its 1-$\sigma$ lower and upper limit; (13) CTK candidate flag i.e. if the original spectroscopic fit includes more than 5\% of its posterior distribution in the CTK regime; (14) double-peaked flag (see definition in section ???); (15) source ID in the multiwavelength catalog Jin et al. (2018) if available; (16-18) logarithmic AGN $L_{6\mu m}$ from SED fitting and its 1-$\sigma$ lower and upper limit; (19) logarithmic AGN $L_{6\mu m}$ upper limit at 99 percentile if the SED fit is unconstrained. - lgphi_chains.fits is the space density calculation product. It contains a (1000, 10, 7, 4)-shaped array. The first axis corresponds to the space density posterior distribution for each parameter grid cell. The second, third and fourth axis are the X-ray luminosity, column density and redshift grid cell numbers, respectively. The edges of the grid pixels in each of the three dimensions are log($L_X$)=(40.0, 41.0, 42.0, 42.5, 43.0, 43.5, 44.0, 44.5, 45.0, 46.0, 47.0) [log(erg s$^{-1}$)], $z$=(0.0, 0.5, 1.0, 1.5, 2.0, 2.5, 3.0, 6.0) and log($N_{\rm H}$)=(20.0, 22.0, 23.0, 24.0, 26.0) [log(cm$^{-2}$)]. - f_CTK_chains.fits is the product of our Compton-thick fraction estimation as a function of the redshift. It contains a (1000, 7)-shaped array. The first axis is the Compton-thick fraction and the second one is the redshift grid cell presented earlier. - plot_scripts.py is a python script containing the functions used to open the lgphi_chains.fits and f_CTK_chains.fits files. It plots the space density (see figure 17) and Compton-thick fraction evolution (see figure 18) in the paper., A complete census of Active Galactic Nuclei (AGN) is a prerequisite for understanding the growth of supermassive black holes across cosmic time. A significant challenge toward this goal is the whereabouts of heavily obscured AGN that remain uncertain. This paper sets new constraints on the demographics of this population by developing a methodology that combines X-ray spectral information with priors derived from multiwavelength observations. We select X-ray AGN in the Chandra COSMOS Legacy survey and fit their $2.2-500\mu m$ spectral energy distributions with galaxy and AGN templates to determine the mid-infrared ($6\mu m$) luminosity of the AGN component. Empirical correlations between X-ray and $6\mu m$ luminosities are then adopted to infer the intrinsic accretion luminosity at X-rays for individual AGN. This is used as prior information in our Bayesian X-ray spectral analysis to estimate physical properties, such as line-of-sight obscuration. Our approach breaks the degeneracies between accretion luminosity and obscuration that affect X-ray spectral analysis, particularly for the most heavily obscured (Compton-Thick) AGN with low photon counts X-ray spectra. The X-ray spectral results are then combined with the selection function of the Chandra COSMOS Legacy survey to derive the AGN space density and a Compton-Thick fraction of $21.0^{+16.1}_{-9.9}\%$ at redshifts $z<0.5$. At higher redshift, our analysis suggests upper limits to the Compton-Thick AGN fraction of $\la 40\%$. These estimates are at the low end of the range of values determined in the literature and underline the importance of multiwavelength approaches for tackling the challenge of heavily obscured AGN demographics., European Commission: BiD4BEST - Big Data applications for Black hole Evolution STudies (860744), Peer reviewed

Proyecto: EC/H2020/860744
DOI: http://hdl.handle.net/10261/336070
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/336070
HANDLE: http://hdl.handle.net/10261/336070
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/336070
PMID: http://hdl.handle.net/10261/336070
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/336070
Ver en: http://hdl.handle.net/10261/336070
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oai:digital.csic.es:10261/336070

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/336104
Dataset. 2023

SUPPORTING INFORMATION A CRMNFECONI HIGH ENTROPY ALLOY BOOSTING OXYGEN EVOLUTION/REDUCTION REACTIONS AND ZINC-AIR BATTERY PERFORMANCE

  • He, Ren
  • Yang, Linlin
  • Zhang, Yu
  • Wang, Xiang
  • Lee, Seung-Ho
  • Zhang, Ting
  • Li, Lingxiao
  • Liang, Zhifu
  • Chen, Jingwei
  • Li, Junshan
  • Ostovari Moghaddam, Ahmad
  • Llorca, Jordi
  • Ibáñez, Maria
  • Arbiol, Jordi
  • Xu, Ying
  • Cabot, Andreu
30 pages. -- PDF includes: Characterization. -- Density functional theory (DFT) calculations. -- Computational property description. -- Fig. S1. EDS composition of the ternary alloys: FeCoNi, MnFeNi, MnCoNi, and MnFeCo. -- Fig. S2. XRD pattern of the ternary alloys: FeCoNi, MnFeNi, MnCoNi, and MnFeCo. -- Fig. S3. (a) ICP-OES composition, (b) XRD pattern, (c) TEM image, and (d) HRTEM images of a MnFeCoNi quaternary alloy. -- Fig. S4. (a) ICP-OES composition, (b) XRD pattern, (c) TEM image and EDS chemical composition maps, and (d) HRTEM images of a CuMnFeCoNi HEA. -- Fig. S5. Slices of electron density difference of CrMnFeCoNi in (a) side view, (b) front view, and (c) top view. The contour around the atoms represents electron accumulation (red) or electron depletion (blue). -- Fig. S6. Slices of electron density difference of CuMnFeCoNi in (a) side view, (b) front view, and (c) top view. The contour around the atoms represents electron accumulation (red) or electron depletion (blue). -- Fig. S7. OER performance of the ternary alloys. (a) LSV curves, (b) corresponding overpotential at 10 mA/cm2, (c) corresponding Tafel plots, and (d) EIS spectra. -- Fig. S8. (a-g) CV curves with different scan rates of different HEA, quaternary alloy, and ternary alloys in 1.0 M KOH showing the double layer capacitance without electrochemical reactions. (h) Current density at 0.961V vs. RHE plotted against the scan rate and fitted to a linear region to estimate the capacitance. -- Fig. S9. ICP-OES composition of a CrMnFeCoNi HEA after stability test. -- Fig. S10. XRD pattern of CrMnFeCoNi before and after OER stability measurements. -- Fig. S11. HRTEM image of CrMnFeCoNi after OER measurements. -- Fig. S12. In situ Raman spectra of CrMnFeCoNi during OER measurements. -- Fig. S13. High-resolution XPS spectra of CrMnFeCoNi HEA after OER stability measurements. -- Fig. S14. H2O2 yield vs. potential from MnFeCoNi, CrMnFeCoNi, CuMnFeCoNi, and Pt/C. -- Fig. S15. Relaxed atomic configuration of the four fundamental steps of OER/ORR for the MnFeCoNi structure. -- Fig. S16. Relaxed atomic configuration of the four fundamental steps of OER/ORR for the CuMnFeCoNi structure. -- Fig. S17. Galvanostatic discharge-charge curves with 10 min discharge and 10 min charge cycles at a current density of 5 mA/cm2. -- Fig. S18. Galvanostatic discharge-charge curves with 10 min discharge and 10 min charge cycles at a current density of 12 mA/cm2. -- Table S1. Atomic radius and electronegativity of different elements. -- Table S2. Mn 2p, Fe 2p, Co 2p and Ni 2p XPS binding energies of MnFeCoNi, CrMnFeCoNi, and CuMnFeCoNi. -- Table S3. Comparison of the OER performance of the CrMnFeCoNi HEA with recently reported high entropy alloy catalysts. -- Table S4. ICP-OES results of the amount of metallic elements in the electrolyte after long-term tests. -- Table S5. Comparison of the bifunctional activities of various state-of-the-art electrocatalysts for OER and ORR. -- Table S6. Comparison of the ZAB performances obtained using state-of-the-art air cathodes, Peer reviewed

Proyecto: //
DOI: http://hdl.handle.net/10261/336104
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/336104
HANDLE: http://hdl.handle.net/10261/336104
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/336104
PMID: http://hdl.handle.net/10261/336104
Digital.CSIC. Repositorio Institucional del CSIC
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Ver en: http://hdl.handle.net/10261/336104
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