Resultados totales (Incluyendo duplicados): 35611
Encontrada(s) 3562 página(s)
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/371867
Dataset. 2024

SUPPLEMENTARY DATA FOR BUILDING ROBUST COPPER NANOSTRUCTURES VIA CARBON COATING DERIVED FROM POLYDOPAMINE FOR OXYGEN REDUCTION REACTION [DATASET]

  • Cebollada Borao, Jesús
  • Sebastián del Río, David
  • Yamasaki, Jun
  • Agúndez, Javier
  • Lázaro Elorri, María Jesús
  • Martínez Huerta, M. Victoria
6 figures, 2 tables.-- Under a Creative Commons license CC BY 4.0, https://creativecommons.org/licenses/by/4.0/, Figure S1. TEM images and diffraction patterns of copper, cuprite and graphite for Cu-150-NC. Figure S2. Raman Spectrum of Cu-X-NC (X= 0, 120, 150, 180). Figure S3. High resolution N1s spectra of Cu-X-NC (X= 0, 120, 150, 180). Figure S4. Nyquist plot from EIS experiments at 0.78 V vs RHE for the catalysts Cu-X-NC (X = 0, 120, 150 and 180). Figure S5. ORR polarization curves before and after accelerated stability test of catalysts Cu-0-NC, Cu-120-NC and Cu 180-NC. Figure S6. SEM images of Cu-150-NC (A) before and (B) after acceleration stability test. Table S1. Surface chemical composition (wt%) of the catalysts obtained by XPS. Table S2 Double Layer capacitance, Electrochemical Surface Area, Mass Activity and Specific Activity of the catalyst Cu-X-NC (X= 0, 120, 150 and 180) and after Accelerated stability test Cu-X-NC 10000 (X=0, 120, 150 and 180)., The authors wish to acknowledge the grants PID2020-115848RB-C21 and PID2020-115848RB-C22 funded by MCIN/AEI/10.13039/501100011033. J. Cebollada also thanks the grant PRE2018-084842 funded by MCIN/AEI/10.13039/501100011033., Peer reviewed

DOI: http://hdl.handle.net/10261/371867
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/371867
HANDLE: http://hdl.handle.net/10261/371867
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/371867
PMID: http://hdl.handle.net/10261/371867
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/371867
Ver en: http://hdl.handle.net/10261/371867
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oai:digital.csic.es:10261/371867

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/371881
Dataset. 2024

SUPPLEMENTARY INFORMATION FOR VALORIZATION OF CARBONACEOUS CO-PRODUCT OBTAINED FROM IRON ORE-CATALYZED METHANE CRACKING AS SUPPORT FOR PD CATALYSTS IN TOLUENE HYDROGENATION REACTION [DATASET]

  • López de los Ríos, Jaime
  • Torres Gamarra, Daniel
  • Di Stasi, Christian
  • Ayala Cortés, Alejandro
  • Suelves Laiglesia, Isabel
  • Pinilla Ibarz, José Luis
11 figures, 7 tables.-- Under a Creative Commons BY-NC-ND 4.0 license, https://creativecommons.org/licenses/by-nc-nd/4.0/, Appendix A. Materials analysis: The XRD analysis of the iron from the ore used as a precursor to generated carbon nanomaterial shows that this iron is conformed only by hematite as shown in Figure S.1. XRD analysis also showed the presence of other metallic oxides such as MgO, SiO2 and CaO. A posterior analysis to the iron ore with N2 physisorption showed that the isotherm of the ore shown in Figure S2 corresponds to a solid with no porosity. XPS results of the catalyst’s surface analyses generated through the synthesis ways are shown in Figure S3. Analysis of the catalysts with N2 physisorption shown in Figure S4 revealed that the catalysts could be fitted to type IV isotherms, characteristic of mesoporous solids and the BJH pore size distribution. Oxidized catalysts have achieved high Pd dispersions with Pd nanoparticle sizes of a few nanometers as can be seen in the STEM images of high resolution in Figure S5. Table S1 shows the conversion and the hydrogenation capacity of the hybrid materials used as supports without Pd. As it can be seen supports did not possess activity in these reaction conditions., This research was funded by MCIN/AEI/10.13039/501100011033 and EU “NextGenerationEU”/PRTR” through project TED2021- 131416B-I00. The authors also acknowledge Gobierno de Aragón (DGA) for the financial support to Grupo de Conversión de Combustibles (T06_20R). J L-d.l.R. acknowledges Diputación General de Aragón (DGA) for the predoctoral fellowship. DT is grateful for the Juan de la Cierva Incorporación (JdC-I) fellowship (Grant Number: IJC2020-045553-I) funded by MCIN/AEI/ 10.13039/501100011033 and by “European Union NextGenerationEU/PRTR. C.D.S is grateful for the Juan de la Cierva (JdC) fellowship (Grant Number: JDC2022-048765-I) funded by MICIU/AEI /10.13039/501100011033 and by FSE+., Peer reviewed

DOI: http://hdl.handle.net/10261/371881
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/371881
HANDLE: http://hdl.handle.net/10261/371881
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/371881
PMID: http://hdl.handle.net/10261/371881
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/371881
Ver en: http://hdl.handle.net/10261/371881
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oai:digital.csic.es:10261/371881

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/371902
Dataset. 2024

DATA OF MANUSCRIPT BILE ACID-BINDING CAPACITY OF PEPTIDE EXTRACTS OBTAINED FROM CHICKEN BLOOD HYDROLYSATES USING HPLC

  • Carrera Alvarado, Gisela
  • Toldrá Vilardell, Fidel
  • Mora, Leticia
Excel file including: Degree of hydrolysis, bile acid binding capacity of nine different enzymatic hydrolysates of chicken blood, total bile acid binding capacity of three peptide fractions of 2 hydrolysates, and density analysis of the SDS-PAGE profile of the >10 kDa fraction of 2 hydrolysates., Bile acids are involved in the modulation of various metabolic processes facilitating the biliary excretion of endogenous and exogenous cholesterol. The objective of this study was to determine the glycocholic acid binding capacity (BC) of chicken blood hydrolysates using an optimized RP-HPLC methodology. Samples were hydrolysed using a combination of five different enzymes. Alcalase and Protamex hydrolysates presented the highest BC, with mean values of 20.09% and 20.61%, respectively. Subsequently, both hydrolysates were ultrafiltered to obtain fractions >10 kDa, between 10 and 3 kDa, and <3 kDa, and the highest BC values were obtained for peptide fractions >10 kDa. Finally, the protein fragments (MW > 10 kDa) potentially responsible for BC were identified by LC-MS/MS. The results confirmed the relation of BC with the molecular weight of the peptides generated, suggesting that certain protein fragments generated from chicken blood could contribute to a positive impact on health by interfering with cholesterol metabolism., Grant PID2020-119684RB-I00 funded by MCIN/AEI/10.13039/501100011033 is acknowledged. Grant GRISOLIAP/2020/021 de la Consellería de Innovacio, Universitats, Ciencia i Societat Digital de la Generalitat Valenciana (GCA) is also acknowledged., Peer reviewed

DOI: http://hdl.handle.net/10261/371902
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/371902
HANDLE: http://hdl.handle.net/10261/371902
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/371902
PMID: http://hdl.handle.net/10261/371902
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/371902
Ver en: http://hdl.handle.net/10261/371902
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oai:digital.csic.es:10261/371902

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/371894
Dataset. 2024

APPENDIX A: SUPPLEMENTARY MATERIAL OF ACTIVITY ENHANCEMENT OF CARBON NANOFIBER-BASED CATALYSTS FOR CO2 METHANATION BY MECHANOCHEMICAL SYNTHESIS [DATASET]

  • Di Stasi, Christian
  • López de los Ríos, Jaime
  • Ayala Cortés, Alejandro
  • Torres Gamarra, Daniel
  • Pinilla Ibarz, José Luis
  • Suelves Laiglesia, Isabel
Under a Creative Commons BY-NC license, https://creativecommons.org/licenses/by-nc/4.0/, H2-TPD: Fig. A.1. H2 TPD profiles of Ni/CeO2 and Ni-CeO2/CNF_BM. XPS Survey: Fig. A.2. XPS survey. Table A.1. Surface atomic composition measured by XPS. Fig. A.3. HR O1s XPS spectra of pristine CNF. STEM images of Ni-CeO2/CNF: Fig. A.4a. STEM images of Ni-CeO2/CNF. Fig. A.4b. STEM images of Ni-CeO2/CNF. STEM characterization of Ni-CeO2/CNF_BM: Fig. A.5a STEM images of Ni-CeO2/CNF_BM. Fig. A.5b. STEM images of Ni-CeO2/CNF_BM. PSD of Ni-CeO2/CNF and Ni-CeO2/CNF_BM: Fig. A.6. PSD of Ni-CeO2/CNF and Ni-CeO2/CNF_BM. CeO2/CNF catalytic test: Fig. A.7. Methanation test using CeO2/CNF as catalyst (F/W=60 NL h–1 gcat–1). Influence of the PSD on the performances of Ni-CeO2/CNF: Fig. A.8. Comparison of the catalytic activities of Ni-CeO2/CNF (sieved and not) and Ni-CeO2/CNF_BM (T = 200 – 400 °C, F/W=600 NL h–1 gNi–1(60 NL h–1 gcat–1), H2/CO2 = 4) in terms of CO2 conversion (a); CH4 (b) and CO (c) selectivity. Stress test of the Ni-CeO2/CNF: Fig. A.9. Stress test of Ni-CeO2/CNF carried out at 450 °C, F/W=600 NL h–1 gNi–1 (96 NL h–1gcat–1). Spent catalyst analysis: Fig. A.10. XRD comparisons of fresh and spent Ni-CeO2/CNF_BM (a) and Ni-CeO2/CNF (b) after the stress test of carried out at 450 °C, F/W=600 NL h–1 gNi–1 (96 NL h–1gcat–1). Table A.2. Crystallites dimension comparisons of fresh and spent Ni-CeO2/CNF_BM (a) and Ni-CeO2/CNF (b) after the stress test of carried out at 450 °C, F/W=600 NL h–1 gNi–1 (96 NL h–1gcat–1). Table A.3. XPS comparisons of fresh and spent Ni-CeO2/CNF_BM (a) and Ni-CeO2/CNF (b) after the stress test of carried out at 450 °C, F/W=600 NL h–1 gNi–1 (96 NL h–1gcat–1)., Authors acknowledge the Government of Aragon for the grant awarded to the Fuel Conversion Group (T06_23R). C.D.S is grateful for the Juan de la Cierva (JdC) fellowship (Grant Number: JDC2022–048765-I) funded by MICIU/AEI /10.13039/501100011033 and by FSE+. DT is grateful for the Juan de la Cierva Incorporación (JdC-I) fellowship (Grant Number: IJC2020–045553-I) funded by MCIN/AEI/ 10.13039/501100011033 and by “European Union NextGenerationEU/PRTR., Peer reviewed

Proyecto: //
DOI: http://hdl.handle.net/10261/371894
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/371894
HANDLE: http://hdl.handle.net/10261/371894
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/371894
PMID: http://hdl.handle.net/10261/371894
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/371894
Ver en: http://hdl.handle.net/10261/371894
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oai:digital.csic.es:10261/371894

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/371905
Dataset. 2024

SUPPLEMENTARY MATERIAL OF ASH INTERACTION WITH TWO CU-BASED MAGNETIC OXYGEN CARRIERS DURING BIOMASS COMBUSTION BY THE CLOU PROCESS [DATASET]

  • Filsouf, Amirhossein
  • Adánez-Rubio, Iñaki
  • Mendiara, Teresa
  • Abad Secades, Alberto
  • Adánez Elorza, Juan
Under a Creative Commons BY license 4.0, https://creativecommons.org/licenses/by/4.0/, After 15 h of pine sawdust combustion, in the case of the Cu30MnFe oxygen carrier shows unstable operation in the continuous unit and attributed to the high generation of fines as it can be seen in Figure S1b, where fines particles can be seen together with oxygen carrier particles partially broken. However, it was not detected physical deposition of ashes over the particle surface in both cases of used oxygen carriers Cu30MnFe and Cu30MnFekao7.5, see Figures S1b and S1d, respectively.-- In Figure S2 a uniform distribution of three metal oxides of the oxygen carrier in the fresh Cu30MnFe sample is observed.-- Figure S3 depict the distribution of Cu oxide, Mn oxide, and Fe oxide, which remained unchanged during combustion in the plant. Therefore, there was no interaction between the oxygen carrier Cu30MnFe and biomass ash.-- Figure S3. SEM-EDX mapping of used Cu30MnFe.-- Figure S4 presents SEM-EDX elemental mapping of the fresh Cu30MnFekao7.5. It reveals that Cu oxide, Mn oxide, and Fe oxide are homogeneously distributed within the particle, along with kaolin, which includes Al and Si. K, Mg, and Ca are also present throughout the particle, but are not concentrated in any specific areas.-- Figure S5 presents the SEM-EDX elemental mapping of the used Cu30MnFekao7.5. It shows that K is accumulated in regions containing Al and Si, identified as kaolin. In these areas, the concentration of Cu, Mn, and Fe oxides is low.-- Figure S6 presents BSE images of the two particles of Cu30MnFekao7.5 oxygen carrier after 56 hours of combustion. The EDX results reveal that accumulative K can be observed in the darker areas, particularly where there is a high concentration of kaolin. Specifically, at points 13, 15, 16, and 17, where Si and Al are present in the used oxygen carrier Cu30MnFekao7.5, K is also detected. Conversely, at points 14 and 18, where the concentration of Si and Al, indicative of kaolin, are low and the levels of Cu, Mn, and Fe are high, no K is detected. Additionally, surface-section images in Figs. S6b and S6c show that the amount of K on the surface is significantly lower compared to the interior of the particle.-- Figure S7 presents the SEM line scan image of the cross-section of the used oxygen carrier Cu30MnFekao7.5. The image reveals that K accumulates in regions where Al and Si are present, which corresponds to kaolin within the particle. In these areas, the concentrations of Cu, Mn, and Fe oxides are low, while the concentrations of Si and Al are high.-- Figure S8 presents the SEM-EDX elemental mapping of the surface of the used oxygen carrier, Cu30MnFekao7.5. The analysis indicates the presence of minor amounts of Al and Si on the particle surface, with no significant accumulation of K detected.-- Although in SEM-EDX photos for oxygen carrier Cu30MnFe be observed that metal oxides are distributed homogeneously but in Figure S9, free CuO could be found by XRD. It means this free Cu oxide can improve oxygen transport capacity as active phase compared to the fresh oxygen carrier which data in Table 1 confirm this additional potential to release oxygen., This work was supported by PDC2021-121190-I00/AEI/10.13039/501100011033, financed by MCIN/AEI/10.13039/501100011033 and the European Union NextGenerationEU/PRTR. I.A.-R. acknowledges the Juan de la Cierva Programme (Grant IJC2019-038987-I funded by MCIN/AEI/10.13039/501100011033) and the Ramón y Cajal Programme (Grant RYC2022-035841-I funded by MCIU/AEI/10.13039/501100011033 and FSE+)., Peer reviewed

DOI: http://hdl.handle.net/10261/371905
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/371905
HANDLE: http://hdl.handle.net/10261/371905
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/371905
PMID: http://hdl.handle.net/10261/371905
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/371905
Ver en: http://hdl.handle.net/10261/371905
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oai:digital.csic.es:10261/371905

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/371943
Dataset. 2024

POTENTIAL SPATIAL MISMATCHES BETWEEN MARINE PREDATORS AND THEIR PREY IN THE SOUTHERN HEMISPHERE IN RESPONSE TO CLIMATE CHANGE [RESIDUALS ANALYSIS]

  • Bas, Maria
  • Ouled-Cheikh, Jazel
  • Fuster-Alonso, Alba
  • Julià Melis, Laura
  • March, David
  • Ramírez Benítez, Francisco
  • Cardona, Luis
  • Coll, Marta
[Description of methods used for collection/generation of data] To validate the assumption of spatial independence, we extracted the residuals from the model and plotted them in space. In an ideal scenario, the pattern of residuals should be random to consider that there is no spatial autocorrelation remaining in the model. Additionally, to assess the spatial variability within model residuals, we fitted a semivariogram (Zhang et al., 2009). A flat semivariogram (without sharp increases) of the residuals would indicate the absence of spatial autocorrelation, [Methods for processing the data] Species distribution models., Results of the residuals analyses of the species distribution models from crustaceans, small pelagic fishes, benthopelagic fishes, penguins and pinnipeds from South America region, Southern African region and Australia and New Zealand regions, Peer reviewed

Proyecto: //
DOI: http://hdl.handle.net/10261/371943
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/371943
HANDLE: http://hdl.handle.net/10261/371943
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/371943
PMID: http://hdl.handle.net/10261/371943
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/371943
Ver en: http://hdl.handle.net/10261/371943
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oai:digital.csic.es:10261/371943

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/371973
Dataset. 2024

GPS DATABASE OF JUVENILE, IMMATURE AND ADULT TAGGED YELLOW-LEGGED GULLS INHABITING THE URBAN ECOSYSTEM OF BARCELONA (SPAIN) RELATED TO THE TITLE: “ONTOGENY OF FORAGING BEHAVIOUR IN AN OPPORTUNISTIC GULL INHABITING URBAN MARINE ECOSYSTEMS”

  • Navarro, Joan
  • Martín-Vélez, Víctor
  • Giménez, Joan
  • García, José A.
  • Cermeño, Pablo
  • Figuerola, Jordi
  • Aymí, Raül
  • Montalvo, Tomás
Urbanization affects ecosystems by reducing biodiversity and displacing species from native habitats. While some suffer, others, like urban wildlife, adapt through innovative feeding and behaviours that improve their fitness in human-altered settings. Despite research on wildlife in urban areas, the development of foraging behaviour in urban species is still understudied. Here, we examined the age-related differences in the foraging behaviour of yellow-legged gulls (Larus michahellis) in Barcelona (Spain), a densely populated coastal urban ecosystem. Using biologging technologies and trophic markers, we compared the foraging strategies, habitat use, human interactions, and trophic niches of juvenile, immature, and adult yellow-legged gulls over three breeding seasons. The results showed age-related differences in spatial distribution and foraging behaviour in this opportunistic species. Juveniles and immatures mainly foraged in ports and at sea, while adults favoured urban habitats. These patterns likely stem from reproductive constraints in adults and lower foraging efficiency in younger birds. Adults’ primary use of urban habitats also explains their higher trophic niche. Furthermore, fishing activity significantly influenced yellow-legged gull foraging across age groups, with strong associations between gulls and fishing vessels. By studying how age and life stage influence habitat use and behaviour, this research provides insights to guide targeted management strategies for this species, This study is part of the projects BCNGulls, Aliats and Intramural CSIC Project “Opportunistic gulls as sentinel species to monitor urban marine ecosystems”. VMV was supported by a Juan de la Cierva fellowship from the Spanish Government (JDC2022-049638-I). This work acknowledges the ‘Severo Ochoa Centre of Excellence’ accreditation (CEX2019-000928-S). We acknowledge support of the publication fee by the CSIC Open Access Publication Support Initiative through its Unit of Information Resources for Research (URICI), Age: age group (juveniles, immatures or adults); Latitude: latitude coordinates in degrees; Longitude: longitude coordinates in degrees, Peer reviewed

Proyecto: //
DOI: http://hdl.handle.net/10261/371973
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/371973
HANDLE: http://hdl.handle.net/10261/371973
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/371973
PMID: http://hdl.handle.net/10261/371973
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/371973
Ver en: http://hdl.handle.net/10261/371973
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oai:digital.csic.es:10261/371973

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/372005
Dataset. 2024

RIBCAGE RECONSTRUCTION BELONGING TO SHANIDAR 3

  • López-Rey, José María
  • García-Martínez, Daniel
  • Bastir, Markus
[Description of methods used for collection/generation of data] Costovertebral material belonging to the fossil specimen and the reference H. sapiens individuals was surface scanned., [Methods for processing the data] First, we calculated the vector of change between each mean H. sapiens metamer as the increment of 3D coordinates between each costovertebral level and the subsequent one. This vector was added or subtracted to the best-preserved costovertebral levels of Shanidar 3, depending on whether we wanted to estimate missing elements below or above the level, respectively. The obtained coordinates were morphed, and the final meshes were obtained. Eventually, the 3D model of Shanidar 3’s ribcage was reconstructed using these meshes., Reconstructed ribcage belonging to Shanidar 3, a Levantine Neanderthal specimen dated circa 45-60 ky BP. Final 3D models were statistically obtained by original fossil material through a statistical study of costovertebral metameric variation in H. sapiens., This reconstruction has been possible thanks to grant PRE2021-097584 to J.M.L.-R. and grant PID2020-115854GB-I00 to M.B., both funded by MCIN/AEI/10.13039/501100011033 of the Spanish Ministry of Science and Innovation and the European Union., Peer reviewed

DOI: http://hdl.handle.net/10261/372005
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/372005
HANDLE: http://hdl.handle.net/10261/372005
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/372005
PMID: http://hdl.handle.net/10261/372005
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/372005
Ver en: http://hdl.handle.net/10261/372005
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oai:digital.csic.es:10261/372005

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/372006
Dataset. 2024

REDDOTS: LIMITS ON HABITABLE AND UNDETECTED PLANETS ORBITING NEARBY STARS GJ 832, GJ 674, AND ROSS 128 - APPENDICES E - H

  • Liebing, Florian
  • Jeffers, Sandra V.
  • Gorrini, Paula
  • Haswell, Carole A.
  • Dreizler, Stefan
  • Barnes, John R.
  • Hartogh, Paul
  • Koseleva, Valerija
  • Del Sordo, Fabio
  • Amado, Pedro J.
  • Caballero, J. A.
  • López González, Maria J.
  • Morales, Nicolás
  • Reiners, Ansgar
  • Ribas, Ignasi
  • Quirrenbach, Andreas
  • Rodríguez, Eloy
  • Tal-Or, Lev
  • Tsapras, Yiannis
The Appendices E to H with Tables E.1 and E.2, F.1 and F.2, G.1 to G.5, and Figures H.1 to H.19., Peer reviewed

Proyecto: //
DOI: http://hdl.handle.net/10261/372006
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/372006
HANDLE: http://hdl.handle.net/10261/372006
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/372006
PMID: http://hdl.handle.net/10261/372006
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/372006
Ver en: http://hdl.handle.net/10261/372006
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/372006

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/372054
Dataset. 2024

SUPPLEMENTARY MATERIAL OF HYDROPROCESSING OF WASTE COOKING OIL TO PRODUCE LIQUID FUELS OVER NI-MO AND CO-MO SUPPORTED ON CARBON NANOTUBES [DATASET]

  • Ferrerira, Karoline K.
  • Di Stasi, Christian
  • Ayala Cortés, Alejandro
  • Ribeiro, Lucília S.
  • Pinilla Ibarz, José Luis
  • Suelves Laiglesia, Isabel
  • Pereira, Manuel Fernando R.
Under a Creative Commons license BY-NC 4.0, https://creativecommons.org/licenses/by-nc/4.0/, Elemental analysis standards deviations: Table S1. Standard deviations of C, H, O, Co, Ni and Mo for each sample. List of identified compounds: Table S2. Identified compounds in liquid and gas products by gas chromatography and their respective standard deviations. XRD pattern of Co-Mo/Al2O3: In Fig. S1, peaks correlated to the support γ-Al2O3 (2θ = 39.5° [111], 45.9° [200], 25.3° and 66.9° [220]) and MoO3 (2θ = 46.2° [220] and 67.5° [400]) were found overlapped [22]. Moreover, peaks of MoO2 (2θ = 37.1°) and hydrated Co2Mo3O8 (2θ = 39.8° [204]) were also observed. TEM: Fig. S2. TEM images of MoO2 inside the tube in Ni-Mo/CNTox. STEM: Fig.S3. STEM of Co-Mo/CNTox (a) and Ni-Mo/CNTox (b, c and d). Isotherms: Fig. S4. N2 adsorption-desorption isotherms of the catalysts and supports., This work was supported by national funds through FCT/MCTES (PIDDAC): LSRE-LCM, UIDB/50020/2020 (DOI: 10.54499/UIDB/50020/2020) and UIDP/50020/2020 (DOI: 10.54499/UIDP/50020/2020); and ALiCE, LA/P/0045/2020 (DOI: 10.54499/LA/P/0045/2020). The authors are grateful for the financial support from the I + D + i project PID2020-115053RB-I00, funded by Spanish Ministry of Science and Innovation (MCIN/AEI/10.13039/501100011033). The authors also thank Gobierno de Aragón (DGA) for the financial support to Grupo de Conversión de Combustibles (T06_23). K. K. Ferreira acknowledges her Ph.D. scholarship (2022.12949.BD) from FCT. C.D.S is grateful for the Juan de la Cierva (JdC) fellowship (Grant Number: JDC2022-048765-I) funded by MICIU/AEI/10.13039/501100011033 and by FSE+., Peer reviewed

DOI: http://hdl.handle.net/10261/372054
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/372054
HANDLE: http://hdl.handle.net/10261/372054
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/372054
PMID: http://hdl.handle.net/10261/372054
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/372054
Ver en: http://hdl.handle.net/10261/372054
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/372054

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