BUSCADOR RECOLECTA

Under a Creative Commons license by-nc-nd 4.0., Table S1. Gas composition of ethanol at 250 and 400 ºC. Figure S2. TGA of a) corncob and b) Agave angustifolia bagasse in N2 atmosphere. Table S2. Carbon balances of the different products after HDO.Figure S2. Van Krevelen diagram comparing HDO of C-250 bio-oil with and without Mo2C/CNF based-catalyst at 350 ºC. Figure S3. Van Krevelen diagram zoom of the general influence of temperature of HDO in a Mo2C/CNF based-catalyst., This study was supported by MCIN with funding from European Union NextGenerationEU (PRTR-C17. I1) within the Green Hydrogen and Energy Program- CSIC, as part of the CSIC Interdisciplinary Thematic Platform (PTI+) Transición Energética Sostenible+(PTI-TRANSENER+), and the financial support of the I+D+i project PID2020–115053RB-I00, funded by MCIN/ AEI/10.13039/501100011033. Authors also acknowledge the financial support of DGAPA-PAPIIT UNAM through grant IN107923 “Licuefacción hidrotérmica de biomasa residual” and Fondo Sectorial CONACYT-SENER-Sustentabilidad Energética through Grant 207450 and Centro Mexicano de Innovación en Energía Solar (CeMIE-Sol), within strategic project No. 120. 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

Supplementary Tables: Table S1. Taxonomical classification of the bacterial species isolated from solar panel samples according to 16S rDNA sequence similarity. Table S2. Summary of sequencing statistics from the 16S/18S profile analysis. Table S3. Summary of sequencing statistics from the shotgun metagenomic sequencing of solar panels 1 and 3 in 2014. Table S4. Differentially expressed proteins between day- and night-collected samples., Supplementary Figures: Figure S1. Microbial colonies growing on LB incubated at room temperature for two weeks (A). Case example of growth restoration in nearby-grown isolates under conditions of extreme pH. A local buffering of the pH of the plate is observed (B). Figure S2. Stress tests results data matrix. The growth of the 53 strains isolated from the solar panels under particular stress conditions was compared to that of a control strain (XL1-Blue E. coli strain). Green colour (from light to dark) indicates better growth than the control (from slightly to strongly better growth). Symbols ‘+’ indicate cases of growth restoration by another isolate. Two independent experiments were performed for each test. Strains are numbered according to Table S1. Figure S3. Taxonomic diversity of one of the panels (panel 1) sampled in the summer solstice of 2014 as deduced from shotgun metagenomic sequencing., Peer reviewed

Figure S1: predicted secondary structure of circRAJ31. Figure S2: analysis of the secondary structure of the 5 UTR and the first 30 bp of the coding sequence of gfp or cat. Figure S3: electrophoretic assay and sequencing results of RT-PCR after in vitro transcription. Figure S4: putative sequence of the RT-PCR misprocessing reaction. Figure S5: response of the system to varying concentrations of aTc (which controls expression of the riboregulator). Figure S6: characterization of mutant systems. Figure S7: growth of cells cotransformed with plasmids expressing circRAJ31 and CamR on plates without chloramphenicol (Cam) and on plates with chloramphenicol and different inducers. Figure S8: growth curves with a cis-repressed gene coding for chloramphenicol acetyltransferase (CamR). Figure S9: additional growth curves for different concentrations of Cam. Table S2: sequences of the primers used in this work., Peer reviewed

Under a Creative Commons license by-nc-nd 4.0, Figure S1: Thermostated electrochemical reactor with a typical three-electrode configuration. Figure S2: Deconvoluted spectra of C1s peak for a) T-GFD4.6 (100 cycles in 2 M H2SO4), b) T-GFD4.6 (immersion 2 M H2SO4 0.4 M VOSO4) and c) T-GFD4.6 (100 cycles 2 M H2SO4 0.4 M VOSO4). Figure S3: Deconvoluted spectra of O1s peak for a) T-GFD4.6 (100 cycles in 2 M H2SO4), b) T-GFD4.6 (immersion 2 M H2SO4 0.4 M VOSO4) and c) T-GFD4.6 (100 cycles 2 M H2SO4 0.4 M VOSO4). Figure S4: Deconvoluted spectra of N1s peak for a) T-GFD4.6 electrode after being immersed 5 days in 2 M H2SO4 + 0.4 M VOSO4 electrolyte b) the T-GFD4.6 activated after 100 CV cycles in 2 M H2SO4. Figure S5: Tafel plots of the a) GFD4.6-EA, GFA6 and Avcarb6 and b) T-GFD4.6-EA, T-GFA6 and T-Avcarb6 obtained from the Linear Sweep Voltammetry curves. Figure S6: Linear relationship between the logarithm of the redox peak current and the logarithm of the scan rate for the thermal pre-treated electrodes; a)T-GFD4.6, b) T-AvCarb6 and c) T-GFA6. Table S1. Table S2. Table S3., This research is part of the CSIC program for the Spanish Recovery, Transformation and Resilience Plan funded by the Recovery and Resilience Facility of the European Union, established by the Regulation (EU) 2020/2094. Support of the CSIC Interdisciplinary Thematic Platform (PTI+) Transición Energética Sostenible+ (PTI-TRANSENER+). Funding provided by the Spanish Ministry of Science and Innovation under project MAFALDA (PID2021–126001OB-C32), as well as the support of the Regional Government of Aragon to the Fuel Conversion Research Group (T06_23R)., Peer reviewed

El libro de códigos está disponible en español y en traducción al inglés., [ES] 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 junio 2007. El EBA presenta su séptima 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., [EN] 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 June 2007. The EBA is in its seventh 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 de la Junta de Andalucía y el Instituto de Estudios Sociales Avanzados del Consejo Superior de Investigaciones Científicas (IESA-CSIC)., Peer reviewed

The supplemental file provides further details about the calculation of the eigenvalue spectrum of the reduced interaction matrix. There is also some background information on the dynamic mean-field theory analysis of the Lotka-Volterra equations for completeness. The supplement also contains a discussion of the "bottom-up" construction of the reduced interaction matrices., Peer reviewed

We initiate the study of a bulk-boundary eigenvalue problem for the Bilaplacian with a particular third order boundary condition that arises from the study of dynamical boundary conditions for the Cahn-Hilliard equation. First we consider continuity properties under parameter variation (in which the parameter also affects the domain of definition of the operator). Then we look at the ball and the annulus geometries (together with the punctured ball), obtaining the eigenvalues as solutions of a precise equation involving special functions. An interesting outcome of our analysis in the annulus case is the presence of a bifurcation from the zero eigenvalue depending on the size of the annulus., This work was initiated while C. Falcó was participating in the program “Introducción a la Investigación Severo Ochoa” grant at the Instituto de Ciencias Matemáticas (ICMAT). M.d.M. González acknowledges financial support from the Spanish Government, grant numbers MTM2017-85757-P, PID2020- 113596GB-I00; additionally, Grant RED2018-102650-T funded by MCIN/AEI/10.13039/501100011033, and the “Severo Ochoa Programme for Centers of Excellence in R&D” (CEX2019-000904-S)., With funding from the Spanish government through the "Severo Ochoa Centre of Excellence" accreditation (CEX2019-000904-S)., No

Under a Creative Commons license BY-NC-ND 4.0 Deed., Synthesis of cellulose nanocrystals: Cellulose nanocrystals (CNCs) were synthesized following the protocol described in two previous publications.[1,2] 10 g of microcrystalline cellulose (MCC) (Sigma-Aldrich, ref 310697) were dispersed in 45 ml of ultrapure water using an ultrasound bath (45 kHz) for 5 min. Then, 45 ml of H2SO4 98 wt% (Labkem, ref SUAC-00A) were added dropwise to the mixture (externally cooled in an ice/water bath at 0 °C) reaching a final H2SO4 concentration of 64 wt%. This addition was performed fast (less than 5 min) and with magnetic stirring to obtain type I CNCs or slow (longer than 100 min) and with high shear mixing to obtain type II CNCs.[1] After that, the mixture was put in a heating plate at 70°C for 10 minutes for type I CNCs or at ambient temperature for 1 hour for type II CNCs. The reaction was stopped by diluting in 1 liter of ultrapure water at 4°C, also to increase the pH, and the mixture was left decanting overnight at 4°C. The bottom sediment was dialyzed against ultrapure water until a neutral pH was achieved, using specific dialysis membranes (Merck, average flat width 33 mm, ref D9652-100FT). The neutralized dispersions were subjected to centrifugation/re-dispersion cycles at 9000 rpm (9327 rcf) for 1 min to keep only the nanocrystals. The average mass yield and the concentration (Table S1) were determined by lyophilization of 3 aliquots of 30 mL of the CNCs dispersions. The hydrodynamic radii, polydispersity, and ζ-potential were measured using a Malvern Nano ZS instrument, and the mean values of these parameters are presented in Table S1. The CNCs in solid were measured by a Bruker D8 Advance X-Ray diffractometer using a Cu tube as the X-ray source (λ Cu Kα = 1.54 Å), a tube voltage of 40 kV, and a current of 40 mA. The X-Ray diffraction patterns of the prepared CNCs (Fig. S1) confirmed the different presence of the characteristic planes of type I or type II cellulose.--, Synthesis of cellulose nanocrystals: Table S1. Mean values of the characterization results of type I and type II CNCs dispersions. Fig. S1. X-ray diffraction profiles of type I (red) and type II (blue) CNCs. Surface resistivity of n-type thermoelectric cotton textiles as a function of the number of dip-coating cycles: Fig. S2. Surface resistivity (Rsh) of nanocomposite textiles from 1 to 10 immersion cycles with equivalent inks, but different immersion methodology: regular (red) and using a complementary ultrasounds bath treatment for 5 min (black). Measured with an in-line 4-point probe configuration. Error bars show standard deviation of at least 3 repetitions. SEM images of the surface of original and washed CWF@CNF textile samples: Fig. S3. SEM images of the surface of original and washed CWF@CNF textile samples at different magnifications (a) CWF@CNF, (b) CWF@CNF W30 and (c) CWF@CNF W45. Model proposed for describing the nonlinear Seebeck of CNFs and CWF@CNF: The model presented in this work represents the combination of two physical mechanisms occurring in parallel: S(T)=S_met (T)+S_imp (T) (1). Power factor and estimative figure of merit of unwashed and washed samples and CNFs: Table S2. Thermoelectrical properties of dip-coated textiles and carbon nanofibers. References., Financial support from Spanish MCIN/AEI under projects PID2019-104272RB-C51/AEI/10.13039/501100011033 and PID2020-120439RA-I00, from Spanish CSIC (PIE iniciación ref. 202280I007), as well as from Gobierno de Aragón (DGA, Grupo Reconocido DGA-T03_23R) is acknowledged. Vícto Calvo thanks the DGA for funding his PhD contract (Ref. CUS/581/2020). Antonio J. Paleo gratefully acknowledges support from FCT-Foundation for Science and Technology by the “plurianual” 2020–2023 Project UIDB/00264/2020, and European COST Action EsSENce CA19118 for its support with the Short Term Scientific Mission (STSM) grant E-COST-GRANT-CA19118-0ed3a197 at IPF (Dresden). E. Muñoz acknowledges funding from ANID ANILLO ACT/192023 and Fondecyt No 1230440., Peer reviewed

Under a Creative Commons license BY 4.0 deed., Table S1. Raman shift (cm-1) of the G, D, D’ and D’’ from Raman spectra deconvolution and ID/IG intensity ratio. Table S2. Surface carbon, oxygen, nitrogen, cobalt and titanium contents and C/N, Co/N and Ti/N ratios calculated by XPS of the electrocatalysts and the relative content (%) of the deconvoluted peaks for N1s, Co2p and Ti2p. Figure S1. High-resolution C1s core level of NGC, Ti/NGC, Co/NGC and TiCo/NGC composites. Figure S2. LSV at 0.005 V s−1 in an O2-saturated 0.1 M NaOH solution, recorded using different electrode rotating rates indicated in the legend (rpm). (A) NGC, (B) Ti/NGC, (C) Co/NGC, (D) TiCo/NGC. Figure S3. Koutecky−Levich diagrams obtained between 0.3 and 0.56 V vs RHE for each composite. (A) NGC, (B) Ti/NGC, (C) Co/NGC, (D) TiCo/NGC. Figure S4. Koutecky−Levich diagrams obtained between 0.6 and 0.78 V vs RHE for each composite. (A) NGC, (B) Ti/NGC, (C) Co/NGC, (D) TiCo/NGC., The authors wish to acknowledge the grants PID2020-115848RB-C21 and PID2020-115848RB-C22 funded by MCIN/AEI/10.13039/501100011033, and the Spanish National Research Council (CSIC) through the i-LINK + Programme (i-LINK1106)., Peer reviewed

This work has been supported by Spanish Agencia Estatal de Investigación (10.13039/501100011033) grant RTI2018-093874-B-I00 (DEEP-MAPS), and grants G2HOTSPOTS (PID2021-122142OB-I00) and Defsour-PLUS (PDC2022-133304-I00) from the AEI/10.13039/501100011033/Union Europea NextGeneration. We thank ASI (Italian Space Agency) Project “DInSAR - 3M” (ASI Contract n. 2021-8-U.0 “DInSAR Multi-frequency/Multi-platform for Multi-scale analysis of ground movements” to partially support the activities. We also thank the Italian DPC and DInSAR-3M projects for partially funding this research activity and ASI and ESA for providing the SAR images. The efforts of KFT was supported in part by NOAA cooperative agreements NA17OAR4320101 and NA22OAR4320151 and NSF Award OAC 1835566. This work represents a contribution to CSIC PTI TELEDETEC., Peer reviewed