BUSCADOR RECOLECTA

This document outlines the design and 3D printing process of a double-stacked Archimedean spiral in PLA, intended to serve as a sacrificial template in the fabrication of a continuous flow reactor made of porous carbon., Peer reviewed

S2. Redox charge density & thickness: Figure S2. Cyclic voltamogramms of the different P3HT film series with different film thicknesses (indicated by different colors) taken at a scan rate of 20 mV/s. A) P3HT-CHCl3 B) P3HT-THF C) P3HT-CHCl3(NP) D) P3HT-THF(NP). Respective figures E), F) ,G) and H) represent the linear relations found between resulting redox charge densities and measured thicknesses (colors of each film thickness according to the corresponding cyclic voltammogram). Redox charge density values in units of mCcm-2 are calculated by the integration of the anodic and cathodic CV curves for each thickness followed by dividing the obtained values by the scan rate and the probed surface area.-- Figure S3. Transmittance values at 520 nm for the P3HT film series taken in their A) oxidized transparent states and B) neutral colored states as a function of the calculated redox charge density. Symbols represent experimental data points. Lines represent the fitted curves according to exponential decay functions. Regression coefficients r2 are indicated for all the film series. The transmittance curve for P3HT-CHCl3 in the neutral state not only shows overall higher transmittance values but also its exponential fitting curve with lowest regression coefficient strongly deviates from the behavior of all the other films. The different and rather poor transmittance behavior reflects the non-continuous island-like coating of the ITO substrate obtained for this sample by the employed spray-coating process, as demonstrated by the SEM and profilometry results in the main manuscript (Figure 5D and 6D, respectively). The poor transmittance behavior of the spray-coated P3HT-CHCl3 sample in the neutral state thus accounts for the largely different contrast behavior compared to the other P3HT samples, with an apparent shift of the optimum contrast range towards rather high, i.e. out-of-range redox charge density values, as a consequence of unsatisfying fitting results.--, Figure S4. Transmittance spectra of a P3HT film in its neutral and oxidized states.-- Figure S5. A) Transmittance vs. time plot a P3HT-THF film. B) Contrast vs. pulse length extracted from the previous data and corresponding fitting function from which τ values can be obtained.-- Figure S6. A) Transmittance vs. time plot for a P3HT-THF film. B) Contrast vs. number of cycles extracted from the previous data and corresponding fitting function from which N80 values can be obtained.-- Figure S7. Characterization of spin-coated P3HT films deposited from chloroform. A) SEM image obtained at 30 kX magnification (scale bar 200 nm). B) Profilometry of a representative film with average thickness of 77 nm. C) Transmittance in transparent and colored states, together with resulting contrast, versus redox charge density. D) Switching speeds, represented by t90 values versus redox charge density. E) Cycling stability, represented by the number of cycles corresponding to a 20 % loss of the initial contrast value, i.e. N80 value. F) Images of delaminated films after cycling stability tests. Table S1. Electrochromic performance parameters for spin-coated P3HT-CHCl3 series.--, Under a Creative Commons license BY-NC-ND 4.0., S1. UV-vis absorption spectra. S2. Redox charge density & thickness. S3. Stationary transmittance at 520 nm. S4. Transmittance spectra. S5. Switching speed. S6. Stability test. S7. Spin-coated P3HT-CHCl3 film. References., S1. UV-vis absorption spectra: The UV-vis spectra (Figure S1) of P3HT-THF and CHCl3 solutions show a featureless broad π-π* transition absorption band with its maximum at 445 nm, typical for amorphous P3HT. This band is red-shifted to 510 nm for the nanoparticle polymer P3HT (NP) dispersions. The spectra for these dispersions also show the appearance of peaks at 520 nm, 560 nm, and 620 nm, which indicate the existence of vibronic transitions caused by the internal aggregation of the P3HT chains inside the nanoparticles.[1,2] The acquired aggregate structure with its electronic transitions of the P3HT (NPs) in dispersion is maintained when deposited in the form of films onto substrates.-- S2. Redox charge density & thickness: Figure S2 shows the cyclic voltammograms of the different P3HT film probed for different film thicknesses at a scan rate of 20 mV/s in the potential window from -0.3 to 1.1 V vs. Ag/AgCl reference electrode (RE), calibrated at 0.45 V vs. ferrocene. The surface area exposed to the electrolyte is about 1 cm2.-- S3. Stationary Transmittance: Figure S4 show the stationary transmittance curves of the P3HT film series taken at 520 nm in the oxidized and neutral state as a function of the calculated redox charge densities. Experimental data points are fitted by exponential decay functions. The P3HT film series show similar transmittance curves in the oxidized state (Figure S3A), while those in the neutral state (Figure S3B) exhibit larger deviations. The difference between transmittance values in the oxidized and neutral state then provides the contrast curve as a function of the redox charge density as shown in Figure 2 of the main manuscript.--, S4. Transmittance spectra: Figure S4 shows the transmittance spectra of P3HT-THF film acquired in its neutral and oxidized states, reflecting its magenta and transparent pale blue colors, respectively. The transmittance minimum is obtained at 520 nm for the neutral state and provides the reference value at which maximum contrast, i.e. transmittance differences between the oxidized and neutral state is calculated for the different P3HT film series.-- S5. Switching speed: The switching speed of the P3HT films has been determined following the experimental procedure described in the experimental section of the main manuscript. Here the films are submitted to potential steps of variable pulse lengths of 15, 10, 5, 2, 1, 0.5 and 0.25 s between -0.3 and 1.1 V. A representative case study for a P3HT-THF film is depicted in Figure S5.-- S6. Cycling stability: The cycling stability of the P3HT films has been determined following the experimental procedure described in the experimental section of the main manuscript. Here the films are submitted to a number of potential steps between -0.3 and 1.1 V: 300 cycles of 10 s for each step were applied. A representative case study for a P3HT-THF film is depicted in Figure S6.-- S7. Spin-coated P3HT-CHCl3 film: Spin-coating of non-nanostructured P3HT-CHCl3 dispersions, provides a continuous film coverage of the ITO substrate, as can be seen by SEM (Figure S7A) and the profilometry curve of a representative film with average film thickness of 77 nm (Figure S7B). Therefore, the electrochromic transmittance and contrast behavior at 520 nm (Figure S7C) now shows more consistent results, comparable to those of the spray-coated films of the other P3HT series. This especially refers to the optimum redox charge density and maximum contrast being achieved. Equally, t90 switching speed (Figure S7D), as well as the cycling stability (Figure S7E) in the optimum redox window reveal a behavior close to the ones of the other spray-coated film series. However, the spin-coated P3HT-CHCl3 film is prone to delamination issues (Figure S7F), compromising the mechanical integrity of the film, and thus as well the contact to the underlying substrate. This results in the non-linear enhancement of the t90 switching and the decrease of the cycle stability, beyond the established optimum redox charge densities window, as can be seen in Figure S7D and S7E, respectively. The overall electrochromic performance parameters for the spin-coated P3HT-CHCl3 series are summarized in Table S1., This work was funded by Ministerio de Ciencia e Innovación-Agencia Estatal de Investigación (MCIN-AEI, Spain) under Grant numbers PID2019-104272RB-C55/AEI/10.13039/501100011033, PID2019-104272RB-C51/AEI/10.13039/501100011033 and TED2021-129609B-I00/MCIN/AEI/10.13039/501100011033 (co-funded by European Union NextGenerationEU/PRTR). A.C-S acknowledges financial support from UPCT-Banco Santander through a research grant (“Iniciación en investigacion” Program 2021). W.M. and A.M.B acknowledge financial support from Gobierno de Aragon (DGA) under project “Grupos de Investigación Reconocidos” T03_23R. E.C. is grateful for his PhD grant from MINECO (FPI BES2017-080020) and associated European Social Funds (ESF)., Peer reviewed

Under a Creative Commons license by-nc-nd 4.0, Fig. S1. STEM (left) and TEM (right) images of Cu-N-C-Ac2 acquired using a Tecnay F30 microscope (300 kV). Fig. S2. XRD pattern of Cu-N-C-Ac2-3h obtained using the same experimental details than for Cu-N-CAc2 but with a lixiviation treatment of 3 hours. Fig. S3. N1s XPS spectra of the Cu-N-C. The material Cu-N-C-Ac1-BPT before the two-step post-treatment (acid leaching and 2nd carbonization) is also included for comparison purposes. Fig. S4. Effect of the two-step post-treatment (acid leaching and 2nd carbonization) on the nitrogen adsorption-desorption isotherms for Cu-N-C-Ac1. Fig. S5. Correlation between the Cu oxidation state and the energy position of the XANES spectrum, determined as the first maximum of the first derivative spectrum of Cu-N-C-Ac0.5 (red circle) and different copper reference compounds (black circles).Fig. S6. Variation with time of pH of the electrolyte (0.1 M KHCO3 aqueous solution) as a function of CO2 partial pressure. Balance with an inert gas for the equilibrium CO2 (aq) + H2O ↔ HCO3– + H+, pKa = 6.4, room temperature, 1 atm total pressure. Fig. S7. Oxidation of formic acid and methanol at the Pt ring of an RRDE, disc turned off, 1600 rpm. Fig. S8. Comparison of the CV in 0.1 M KHCO3 saturated with N2 (blue curve), methane oxidation voltammogram after saturation of the electrolyte with CH4 at the open circuit potential (red curve) and CH4 stripping voltammogram (Ead = 0.4 V vs. RHE, green curve) at the Pt ring of an RRDE, disc turned off, 1600 rpm. CV conditions from 0.05 to 1.6 V vs. RHE, 50 mV s-1. Room temperature. Fig. S9. CVs of the disc at 50 mV s-1 and 1600 rpm in CO2-saturated 0.1 M KHCO3 of Cu-N-C catalysts. Fig. S10. Chronoamperometric experiments at the disc for the Cu-N-C catalysts. Electrolyte: Fig. S11. CVs at the platinum ring for disc potentials reported in the legend. Table S1. Bulk chemical composition (wt. %) from EA and ICP of Cu-N-C electrocatalysts before and after the two-step post-treatment (acid leaching and 2nd carbonization). Table S2. N content (at. %) from XPS of the Cu-N-C electrocatalysts. Relative areas (at. %) of the deconvoluted peaks of N1s. Table S3. Textural parameters of Cu-N-C electrocatalysts. Table S4. CO, CH4 and C2H4 formation rate (mmol g-1 h-1) at selected applied potentials (V vs. RHE) and molar H2/CO ratio. Product analysis in a H-type electrochemical cell.  , Authors acknowledge Grant PID2020-115848RB-C21 “STORELEC” project, and TED2021-129694B-C22 “DEFY-CO2” project funded by MCIN/AEI/10.13039/501100011033. They also acknowledge LMP253_21 project funded by Gobierno de Aragón. Sara Pérez-Rodríguez thanks Grant IJC2019-041874-I funded by the MCIN/AEI/10.13039/501100011033. Ana Cristina Giménez thanks CSIC for her JAE Intro ICU 2021-ICB-04 grant. David Ríos-Ruiz acknowledges the Y2020/EMT-6419 “CEOTRES” project funded by the Comunidad Autonoma de Madrid., Peer reviewed

Metallicity correlations in AMUSING++ nearby galaxies, Peer reviewed

[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

In this document, we provide supplementary materials for the work ‘Climate change impacts on winter chill in Mediterranean temperate fruit orchards’ by Eduardo Fernandez and co-authors. The study is published in the journal Regional Environmental Change under the doi: 10.1007/s10113-022-02006-x. We conducted this work in collaboration with researchers from northern and southern Spain, Tunisia, Morocco and Germany under the umbrella of an international project (AdaMedOr) funded by the Partnership for Research and Innovation in the Mediterranean Area (PRIMA). Compared to previous similar studies, we provide now an analysis that combines the spatial interpolation of winter chill accumulation in the Mediterranean region under future scenarios with expert knowledge regarding the impacts of climate change on temperate orchards as well as future concerns of farmers cultivating temperate species. Our approach allowed us to frame and contextualize the results of our chill estimations, potentially contributing to the development of management strategies to adapt Mediterranean orchards to future climate conditions. We offer figures that were not included in the main manuscript, as well as additional information about the weather stations used for the analysis., We conducted this work in collaboration with researchers from northern and southern Spain, Tunisia, Morocco and Germany under the umbrella of an international project (AdaMedOr) funded by the Partnership for Research and Innovation in the Mediterranean Area (PRIMA)., Weather stations used in the analysis For this study, we used 387 weather stations as primary sources of minimum and maximum temperature records between 1974 and 2020. In the following table (Table S1), we provide the name, location (coordinates) and percentage of data complete for each weather station. Climate models used in the projections In Table S2, we show the 15 climate models used in the analysis to obtain future temperature data from the ClimateWizard data base. As described in the main manuscript, we later grouped these models into “pessimistic”, “intermediate” and “optimistic” classes according to Safe Winter Chill distributions. Correction model As described in the main manuscript, we implemented a spatial interpolation and used a 3D model to correct for large errors that originated from the initial Kriging procedure. This 3D correction model (Fig. S1) consisted of the relationship between the monthly minimum and maximum temperatures in January (x- and y-axis, respectively) and the observed chill in each weather station (color surface). This allowed us to identify the combination of temperatures that was associated with a given amount of chill. We later used this combination to estimate chill values from the co-variables (mean daily minimum and maximum temperatures) from both data sources (weather stations and WorldClim) and obtain a chill correction map. Additional figures In the following figures, we show the expected change in Safe Winter Chill compared to the baseline period (median SWC across the historic simulated scenarios) for the “pessimistic” and “optimistic” climate model classes for the RCP4.5 and RCP8.5 scenarios by 2050 and 2085. As expected, major chill losses will occur under the “pessimistic” version of the RCP8.5 scenario by 2085, whereas minor changes may be expected by the near future under the RCP4.5 scenario., Peer reviewed

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

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

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

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