BUSCADOR RECOLECTA

The following Supporting Information is available for this article: Table S1. Description of the target shrub species at the Aranjuez (Helianthemum squamatum) and Sorbas (Helianthemum squamatum, Helianthemum syriacum and Gypsophila struthium) field sites. Table S2. Results of the linear mixed model analyses of leaf gas exchange parameters measured in Helianthemum squamatum shrubs in Aranjuez and Helianthemum squamatum, Helianthemum syriacum and Gypsophila struthium shrubs in Sorbas in Spring in three consecutive growing seasons (2015-2017). Table S3. Mean (± SE) values for leaf nutrient concentrations (N, P and K in mg g-1), leaf mass area (LMA, mg cm-2), leaf area (LA, cm2), leaf thickness (LT, mm) and leaf isotopic C composition (13C) in Aranjuez (Helianthemum squamatum) and Sorbas (Helianthemum squamatum, Helianthemum syriacum and Gypsophila struthium) and across species and sites (Grand mean) in spring for three consecutive growing seasons (2015-2017). Table S4. Results of the linear mixed model analyses of for leaf nutrient concentrations (N, P and K), and contents (N, P and K content), leaf mass area (LMA), leaf thickness (LT) and leaf isotopic C composition (13C) measured in Helianthemum squamatum shrubs in Aranjuez and Helianthemum squamatum, Helianthemum syriacum and Gypsophila struthium shrubs in Sorbas in Spring in three consecutive growing seasons (2015-2017). Figure S1. Experimental plot of the combined warming and rainfall reduction treatment (W+RR). Figure S2 Overview of the experimental plots in the Aranjuez and Sorbas experimental stations and layout of the experimental plots. Figure S3. A priori conceptual structural equation model (SEM) depicting pathways by which climate change (W: warming and RR: rainfall reduction) influences plant photosynthetic nutrient use efficiency (PNutUE) through effects on the plant’s stomatal conductance (gs), photosynthetic rates (A), leaf morphology (leaf thickness: LT and leaf area: LA) and three leaf nutrients involved in photosynthesis and stomatal conductance regulation (Leaf Nut: N, P and K). Figure S4. Leaf gas exchange (Photosynthetic rate, stomatal conductance: gs, transpiration, ci/ca ratio and intrinsic and instantaneous water use efficiency) in Helianthemum squamatum in Aranjuez (H. sq A) and Helianthemum squamatum (H. sq S), Helianthemum syriacum (H. syr S) and Gypsophila struthium (G. st S) in Sorbas measured in spring. Figure S5 Relationships between net photosynthetic rates in a mass basis (Amass) and a) leaf N, b) leaf P and c) leaf K concentrations and net photosynthetic rates in an area basis (A) and d) leaf N, e) leaf P and f) leaf K concentrations. Figure S6. Relationships between the integrated water use efficiency (foliar 13C) and the photosynthetic nutrient use efficiency of a) leaf N (PNUE), b) leaf P (PPUE) and c) leaf K (PKUE). Figure S7. Standardized total (upper panel), direct (middle panel) and indirect (lower panel) effects derived from the structural equation modeling, including the effects of rainfall reduction (RR), warming (W), leaf nutrients (N, P or K, respectively), stomatal conductance (gs) and photosynthetic rates (A) on the photosynthetic use of leaf N (PNUE, black bars), leaf P (PPUE, light grey bars) and leaf K (PKUE, dark grey bars)., Peer reviewed

9 pages. -- Figure S1. Expression of EXD2 and EXD1 during spermatogenesis. -- Figure S2. Co-localization of EXD2 and EXD1 with DDX4. -- Figure S3. Characterization of the genomic deletion in Exd2∆ mice. -- Figure S4. RNA-sequencing analysis of Exd2∆ testes., Peer reviewed

24 pages. -- Figures S1-S9. -- Table S1. Single particle data processing and modeling of the yeast NPC and sub-assemblies, related to Figures 1-6. -- Animated gif of sequential XY cross sections of the composite multiscale 3D structure of the isolated yeast NPC depicted in with the same color coding as in Figure 1 with FG-connectors shown as rods using the color key from Figure 6, related to Figures 1, 3, 5 and 6. -- Animated gif of a complete rotation series in 10° increments about the x axis for the composite multiscale 3D structure of the isolated yeast NPC with color coding from Figure 1 with FG-connectors shown as rods (color key from Figure 6), related to Figures 1 and 6., Peer reviewed

Under a Creative Commons license BY NC ND 4.0., Figure S1: Calibration mix chromatogram obtained for ASTM D2887 method. Figure S2: Calibration curve obtained for ASTM D2887 method. Figure S3: Chromatograms obtained for the a) TPO, the first distillation of TPO b) light fraction (LF), c) heavy fraction (HF) and the second distillation of the light fraction of TPO d) LF and e) HF. Table S1: Percentage of relative area obtained with the quantification ion (m/z) for the TPO by GC-MS according to the NIST2020 library (BTEX=benzene, toluene, ethylbenzene, xylenes; CC= cyclic compounds, AAA= alkanes, alkenes, alkynes, SB= Substituted benzenes, no BTEX, HC= heterocyclic compounds, I= indenes, PAH= polycyclic aromatic hydrocarbons, O= others). Table S2: Percentage of relative area obtained with the quantification ion (m/z) for the first distillation of the TPO, LF-1, by GC-MS according to the NIST2020 library. Table S3: Percentage of relative area obtained with the quantification ion (m/z) for the first distillation of the TPO, HF-1, by GC-MS according to the NIST2020 library. Table S4: Percentage of relative area obtained with the quantification ion (m/z) for the second distillation of the TPO, LF-2, by GC-MS according to the NIST2020 library. Table S5: Percentage of relative area obtained with the quantification ion (m/z) for the second distillation of the TPO, HF-2, by GC-MS according to the NIST2020 library., This work is part of the BLACKCYCLE project (For the circular economy of tyre domain: recycling end of life tyres into secondary raw materials or tyres and other product applications) which has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement N° 869625. The authors would also like to thank the Regional Government of Aragon (DGA) for the support provided under the research groups support programme and CSIC for the interdisciplinary thematic platform SUSPLAST., Peer reviewed

10 pages. -- Figure S1. Negative stain electron microscopy of purified ITV. -- Figure S2. c44H10 Fab targets an epitope largely conserved across major MHC Class II allele groups. -- Figure S3. Intramuscular ITV-TpD immunization elicits neutralizing antibody responses superior relative to subcutaneous administration. -- Figure S4. ITV-TpD is thermostable when stored at -20°C, 4°C or 40°C for up to 3 weeks. -- Figure S5. Bi-antigenic ITV-TpD elicits broad sarbecovirus-neutralizing antibody responses. -- Supplementary Table 1: Data collection and refinement statistics for the c44H10 Fab-MHC Class II (HLA-DRA*01:01, HLA-DRB1*04:01) complex (related to Figure 2). -- Supplementary Table 2: Table of contacts between the HLA-DR α chain and c44H10 Fab (Related to Figure 2). -- Supplementary Table 3: Table of contacts between the HLA-DR β chain and c44H10 Fab, Peer reviewed

37 pages. -- Further details on experimental methods: Synthesis of particle-based pH-sensors. -- Fabrication of pH-sensing hybrid nanofibers. -- Characterization of pH-sensing hybrid nanofibers. -- Calibration of pH-sensing hybrid nanofibers. -- Cell proliferation assay. -- Cell co-cultures on pH-sensing hybrid nanofibers. -- Extracellular lactate quantification. -- Statistical significance. -- Sensing of pH in the cell cultures over time. -- Further details on image analysis: [A] Particle (cell or sensor) detection. -- [B] Intensity Evaluation. -- [C] Tracking cells and probes across frames. -- Further details on computational methods: Gaussian approximation. -- Enforcing positivity constraints of the reconstructed concentration profile. -- Priors and Lagrange multipliers: Tikhonov regularizer for the scale !1. -- Time continuity across frames !2. -- Matching the bulk trend !3. -- The Monte Carlo Markov chain. -- Errors and confidence interval. -- Ruling out flow contributions from advection. -- Flux distributions conditioned on the cell type. -- pH maps. -- Supporting files description. - Data. -- Codes. -- Supplementary Figures., The homeostatic control of their environment is an essential task of living cells. It has been hypothesized that, when microenvironmental pH inhomogeneities are induced by high cellular metabolic activity, diffusing protons act as signaling molecules, driving the establishment of exchange networks sustained by the cell-to-cell shuttling of overflow products such as lactate. Despite their fundamental role, the extent and dynamics of such networks is largely unknown due to the lack of methods in single-cell flux analysis. In this study, we provide direct experimental characterization of such exchange networks. We devise a method to quantify single-cell fermentation fluxes over time by integrating high-resolution pH microenvironment sensing via ratiometric nanofibers with constraint-based inverse modeling. We apply our method to cell cultures with mixed populations of cancer cells and fibroblasts. We find that the proton trafficking underlying bulk acidification is strongly heterogeneous, with maximal single-cell fluxes exceeding typical values by up to 3 orders of magnitude. In addition, a crossover in time from a networked phase sustained by densely connected “hubs” (corresponding to cells with high activity) to a sparse phase dominated by isolated dipolar motifs (i.e., by pairwise cell-to-cell exchanges) is uncovered, which parallels the time course of bulk acidification. Our method addresses issues ranging from the homeostatic function of proton exchange to the metabolic coupling of cells with different energetic demands, allowing for real-time noninvasive single-cell metabolic flux analysis., Peer reviewed

31 pages. -- Figure S1. Barrier to interconversion from cis- to trans-p-aminoBA. -- Figure S2. Barrier to interconversion from cis- to trans-p-hydroxyBA-II. -- Figure S3. Barrier to interconversion from cis- to trans-p-hydroxyBA-I. -- Figure S4. Barrier to interconversion from cis- to trans-p-chloroBA. -- Figure S5. trans-conformations of p-substituted benzoic acids. -- Figure S6. Experimental and simulated spectra of p-aminoBA. -- Figure S7. Barrier to inversion motion in p-aminoBA. -- Figure S8. Barrier to internal rotation in p-nitroBA. -- Figure S9. Experimental and simulated spectra of p-nitroBA. -- Figure S10. Experimental and simulated spectra of p-chloroBA. -- Figure S11. Barrier to conformer interconversion in p-hydroxyBA through para-OH rotation. -- Figure S12. Barrier to conformer interconversion in p-hydroxyBA through COOH rotation. -- Figure S13. Difference in electrostatic potential, Vp, vs. dihedral angle τ. -- Table S1. Spectroscopic parameters of substituted benzoic acids. -- Table S2. Assigned rotational transitions of p-aminoBA. -- Table S3. Assigned rotational transitions of p-nitroBA. -- Table S4. Assigned rotational transitions of p-35 26 chloroBA. -- Table S5. Assigned rotational transitions of p37 27 chloroBA. -- Table S6. Assigned rotational transitions of p-hydroxyBA-I. -- Table S7. Assigned rotational transitions of p-hydroxyBA-II. -- Table S8. Difference in electrostatic potential, Vp, as function of dihedral angle τ. -- Table S9. Mayer bond order index of p-substituted trans-benzoic acids., Peer reviewed

6 pages. -- Figure S1: Top: Maxwell construction for the isothermal curve β. -- Figure S2: Effect of the system size L on the βcri. -- Figure S3: Calibration of the image processing algorithm. -- Figure S4: Phase diagrams for the ternary system, superimposed from BP and numerical simulations., Peer reviewed

[Description of methods used for collection/generation of data] We deployed 12 trail cameras in Montaña Palentina (Acorn LTL5310 (Shenzhen, China) =9; Bushnell Trophy Cam HD Black Led (Kansas, USA) = 3) and 12 in Alto Sil (Acorn LTL5310 (Shenzhen, China) =9; Bushnell Trophy Cam HD Black Led (Kansas, USA) = 2, and Browning Dark OPS (Herstal, Belgium) = 1), between July and September 2023 (ca. 60 days per camera) aiming at detecting European wildcats. Inside each location, cameras were distributed within an area of roughly 2000 Has at distances of ca. 1500 m from each other, as this procedure is reliable to estimate European wildcat densities (Gil-Sánchez et al., 2015). Cameras were placed 30-50 cm above ground pointing perpendicularly at paths naturally used by wild animals and from which they were 2-3 m away. An open Eppendorf tube filled with Iberian lynx (Lynx pardinus) urine was buried in front of each camera, aiming at causing European wildcats to stop in front of the camera to optimize identification of individuals based on pelage patterns. Cameras were checked ca. every 20 days to download pictures and replace the batteries and urine (i.e. 2 reviews after deployment and finally camera retrieval). All cameras were programmed to take a burst of three pictures per trigger. Sensitivity was set to low to minimize the excess of triggers caused by sun glares or moving branches. Cameras used natural and infrared light during day and night triggers respectively. The study was undertaken with the correspondent permissions of the regional government of Castilla y León (Expte: AUES/CYL/008/2022)., [Methods for processing the data] Pictures were sorted following the methodology of R package CamtrapR (Niedballa et al. 2016) in order to extract metadata (date and time of the picture). Humans and birds were not included., [EN] This dataset provides the set of images obtained during of a mammalian survey campaign using trail cameras conducted between July and September 2023 (1495 trap-nights) simultaneously in Montaña Palentina Natural Park (Palencia, Spain) and Alto Sil (León, Spain). The main objective of the survey was to detect and estimate population numbers for European wildcats (Felis silvestris), but several small and large mammal species (Carnivora, Artiodactyla, Rodentia and Lagomorpha) were detected., [ES] Este conjunto de datos proporciona el conjunto de imágenes obtenidas durante la campaña de fototrampeo desarrollada entre Julio y Septiembre de 2023 (1495 noches-trampa) de forma simultánea en el Parque Natural de Montaña Palentina (MNPN, Palencia, España) y el Alto Sil (León, Spain). El principal objetivo del muestreo era detectar y estimar números poblacionales en el gato montés europeo (Felis silvestris), pero otras especies de mamíferos (Carnivora, Artiodactyla, Rodentia and Lagomorpha) también fueron detectadas., This study was funded by a contract of collaboration between Fundación Reina Sofia and CSIC, the MICINN through the European Regional Development Fund [SUMHAL, LIFEWATCH-2019-09-CSIC-04, POPE 2014-2020], and Land Rover España., 24 main folders: CAM1MP, CAM1OC, CAM2MP, CAM2OC, CAM3MP, CAM3OC, CAM4MP, CAM4OC, CAM5MP, CAM5OC, CAM6MP, CAM6OC, CAM7MP, CAM7OC, CAM8MP, CAM8OC, CAM9MP, CAM9OC, CAM10MP, CAM10OC, CAM11MP, CAM11OC, CAM12MP, CAM12OC, Peer reviewed

PEP-87 Cruise (29GD19870523) carried out on the Research Vessel García del Cid in 1987, The PEP-87 campaign studies deep summer production