BUSCADOR RECOLECTA

The Supporting Information contains the following data: Fig-ure S1A: DIP-MS spectrum of MB-68, Figure S1B: 1H-NMRspectrum (CDCl3, 400 MHz) of MB-68, Figure S1C: 13 C-NMRspectrum (CDCl3, 101 MHz) of MB-68, Figure S2A: DIP-MSspectrum of MB-70, Figure S2B: 1H-NMR spectrum (CDCl3,400 MHz) of MB-70, Figure S2C: 13 C-NMR spectrum (CDCl3,101 MHz) of MB-70, Figure S2D: 1H-1H COSY NMR spectrum(CDCl3) of MB-70 (aromatics), Figure S2E: 1H-13 C HSQC NMRspectrum (CDCl3) of MB-70, Figure S2F: 1H-13 C HMBC NMRspectrum (CDCl3) of MB-70., Peer reviewed

Expression profiling by high throughput sequencing Genome binding/occupancy profiling by high throughput sequencing, Peer reviewed

Supplementary material consists of: 1. Supplementary Figures: Supplementary Figure S1. FTIR spectra centered at a mide I peak (1720- 1580 cm -1 ) of SF in solution or hydrogel. Supplementary Figure S2. Fluorescent molecules rete ntion profiles from SF hydrogels. Supplementary Figure S3. Stability analysis of the fluorescent molecules. Supplementary Figure S4. Stability analysis of the protein factors. Supplementary Figure S5. Mass spectrometry spectra used to cuantify ISQ201 (F2) for the calibration curve. Supplementary Figure S6. Mass spectrometry spectra to determine the concentration of ISQ201 (F2) released from SF hydro gels., Peer reviewed

This repository contains the code and most of the data for the analyses of the manuscript Perez-Posada A, Lin CY, Lin Ching-Y, Chen YC, Gómez-Skarmeta JL, Yu JK, Su YH, Tena JJ (2024) Hemichordate cis-regulatory genomics and the gene expression dynamics of deuterostomes. Nature Ecology and Evolution. DOI:10.1038/s41559-024-02562-x, Peer reviewed

This dataset has been used to study the ecosystem regime shifts of Lake Sanabria, the largest natural glacial lake in Spain, in a situation of climate change that may affect compliance with ecological quality objectives, even with no significant water quality pressures. It comprises basic data from long-term (1986-2017) and intensive short-term (2015-2017) limnological monitoring of a few relevant state variables related to nutrients balance, primary production of phytoplankton and thermal structure of the water column. Data about recent history of the lake productivity, reconstructed by high-resolution palaeolimnological analysis of a surface sediment core, is provided. Time series analysis over several decades has detected significant conditional heteroscedasticity in the concentrations of parameters such as chlorophyll and oxygen in recent years in relation to lake turnover rates, coinciding with exceptional episodic single-species blooms of some planktonic diatoms. We include precipitation data, inflow measurements and land use modeling data that indicate how external nutrient loadings have declined during the last decades, with reduced precipitation and progressive afforestation of the catchment, but the lake is shifting to a more productive regime enhancing the relevance of internal loading and processes., Confederación Hidrográfica del Duero : 452-A-640.01.01/2014, Peer reviewed

TABLE OF CONTENTS S1 Materials and methods S1 S1.1 Materials S1 Table S1. Physical properties of F-gas R-32, R-134a, R-125 and R-1234yf, and the mixtures R-410A, R-454B and R-407C used in this work (𝑀: molar mass; 𝑃𝐶: critical pressure; 𝑇𝐶: critical temperature; 𝑉𝐶: critical volume; 𝑃𝑣: vapor pressure; GWP: global warming potential). S2 S1.2 Methods S4 S1.3 Synthesis of polyimides S5 S1.4 Gas permeability measurements S6 Fig. S1. Schematic representation of the continuous permeation setup. MFC- mass flow controller, MFG- mass flow gauge, PC- pressure controller. S6 S2 Characterization of polyimide membranes S7 S2.1 Nuclear magnetic resonance (NMR) S7 Fig. S2. 1H NMR of 6FDA-6FpDA polyimide in CDCl3. S7 Fig. S3. 19F NMR of 6FDA-6FpDA polyimide in CDCl3. S7 Fig. S4. 1H NMR of 6FDA-TMPD polyimide in CDCl3. S8 Fig. S5. 19F NMR of 6FDA-TMPD polyimide in CDCl3. S8 Fig. S6. 1H NMR of 6FDA-durene polyimide in CDCl3. S9 Fig. S7. 19F NMR of 6FDA-durene polyimide in DMSO-d6. S9 S2.2 Fourier-transform infrared spectroscopy -Attenuated total reflection (FTIR- ATR) S10 Fig. S8. FTIR of polyimide thick membranes. S10 S2.3 Morphology properties of polyimides S10 S2.3.1 Wide Angle X-ray Scattering (WAXS) S10 Fig. S9. WAXS of polyimide thick membranes. S11 S2.4 Thermal characterization S11 S2.4.1 Thermogravimetric analysis (TGA) S11 Fig. S10. TGA in N2 atmosphere of polyimide thick membranes. S12 S2.4.2 Differential scanning calorimetry (DSC) S12 Fig. S11. DSC of polyimide thick membranes. *𝑇𝑔 of 6FDA-durene film could not be detected in the range of measurements of the apparatus (<380 °C). S13 Table S2. Density, viscosity, FFV, and thermal properties. S14 S2.5 Mechanical properties of polyimide thick membranes S14 Table S3. Mechanical properties of polyimide thick membranes. S14 S3 Characterization of HF S14 Table S4. Physical properties PP hollow fibers support S14 Fig. S12. PP hollow fiber pore diameter distribution. S15 Fig. S13. Tailoring the influence of 6FDA-TMPD concentration in the polymer solution and the number of coating layers on the R-410A separation performance at 1.3 bar and 30 °C. S15 S4 Experimental results S16 S4.1 6FDA-based thick flat membranes S16 Table S5. Mixed-gas permeability data of (R-410A R-32/R-125, 69.7:30.3 vol%) through 6FDA-based thick flat membranes at 3 bar and 30 °C. S16 Table S6. Single gas permeability (𝑃) of R-125, R-1234yf, R-134a, and R-32 through 6FDA-TMPD thick flat membrane at 1.3 bar and 30 °C. S16 Table S7. Guggenheim, Anderson and de Boer (GAB) model parameters of R-32, R-134a, R-125 and R-1234yf in 6FDA-TMPD at 30 °C. S16 Fig. S14. Sorption isotherms of CO2, CH4 and N2 in 6FDA-TMPD at 30 °C. The dashed lines represent the dual mode-sorption (DMS) model results. S17 S4.2 6FDA-TMPD HF-TFCMs mixed-gas separation performance S17 Table S8. Mixed-gas permeance and CO2 separation factor data of CO2/CH4 (50:50 vol%) and CO2/N2 (15:85 vol%) through 6FDA-TMPD HF-TFCMs at 1.3 bar and 30 °C. S17 Table S9. Mixed-gas permeance and R-32 separation factor data of R-410A (R- 32/R-125, 69.7:30.3 vol%), R-454B (R-32/R-1234yf 82.9:17.1 vol%) and R-407C (R-32/R-134a/R-125 38.2:43.8:18 vol%) through 6FDA-TMPD HF-TFCMs at 1.3 bar and 30 °C. S18 Table S10. Mixed-gas permeance and R-32 separation factor data of R-410A (R- 32/R-125, 69.7:30.3 vol%) as a function of R-410A feed pressure through 6FDA- TMPD HF-TFCMs at 30 °C. S18 S5 Reference, Peer reviewed

Pg. S2‐ 391. Table S1. Diagram, SMILES code, Enthalpy (CBS/QB3), ΔH⁰ f and atomic coordinates and optimized geometry. (This Table is in an independent file) Pg. S392‐393 Table S2. CSD search of azaboles Pg. S394‐396 Table S3. Compounds with 1,2‐hydride shifts in the optimization process. Pg. S397‐398 Table S4. Statistical analysis of the geometries of the azaboles divided based on the total number of nitrogen atoms. Pg. S399‐402 Table S5. Enthalpy at CBS‐QB3 level (Hartree), ΔH⁰ f (kJ∙mol –1 ) and Cartesian Coordinates (Å) of azolyl boranes Pg. S403‐404 Table S6. Free‐Wilson analysis of the ΔH⁰ f (kJ∙mol–1 ) of the 17 azolyl boranes. Pg. S405‐411 Table S7. Statistical analysis of the multiple‐regression using the enthalpies of the azolyl boranes and the azaboles according to the equation ΔH⁰ f of azabole = ∑ a i X i ΔH⁰ f mon‐i ; a i ΔH⁰ f mon‐i being the ΔH⁰ f kJ.mol –1 corresponding to the contribution of each azolyl boranes Pg. S412 Table S8. The two outlier compounds of the fitting of ΔH⁰ f of azabole = ∑ a i X i ΔH⁰ f mon‐i (Table S7) Pg. S413‐419 Table S9. Statistical analysis of the multiple‐regression of the binding energy, He = ∑bi X i . Pg. S420‐438 Table S10. Statistical analysis of the ΔH⁰ f of 750 azaboles using the fragments shown in Figure 15., Peer reviewed

Angiosperms are the cornerstone of most terrestrial ecosystems and human livelihoods. A robust understanding of angiosperm evolution is required to explain their rise to ecological dominance. So far, the angiosperm tree of life has been determined primarily by means of analyses of the plastid genome. Many studies have drawn on this foundational work, such as classification and first insights into angiosperm diversification since their Mesozoic origins. However, the limited and biased sampling of both taxa and genomes undermines confidence in the tree and its implications. Here, we build the tree of life for almost 8,000 (about 60%) angiosperm genera using a standardized set of 353 nuclear genes. This 15-fold increase in genus-level sampling relative to comparable nuclear studies provides a critical test of earlier results and brings notable change to key groups, especially in rosids, while substantiating many previously predicted relationships. Scaling this tree to time using 200 fossils, we discovered that early angiosperm evolution was characterized by high gene tree conflict and explosive diversification, giving rise to more than 80% of extant angiosperm orders. Steady diversification ensued through the remaining Mesozoic Era until rates resurged in the Cenozoic Era, concurrent with decreasing global temperatures and tightly linked with gene tree conflict. Taken together, our extensive sampling combined with advanced phylogenomic methods shows the deep history and full complexity in the evolution of a megadiverse clade., Peer reviewed

Peer reviewed

El dataset se puede consultar y descargar en el siguiente enlace https://doi.org/10.5281/zenodo.10934410, Growth at the shoot apical meristem (SAM) is essential for shoot architecture construction. The phytohormones gibberellins (GA) play a pivotal role in coordinating plant growth, but their role in the SAM remainsmostly unknown. Here, we developed a ratiometric GA signaling biosensor by engineering one of the DELLA proteins, to suppress its master regulatory function in GA transcriptional responses while preserving its degradation upon GA sensing. We demonstrate that this degradation-based biosensor accurately reports on cellular changes inGA levels and perception during development.Weused this biosensor to map GA signaling activity in the SAM. We show that high GA signaling is found primarily in cells located between organ primordia that are the precursors of internodes. By gain- and loss-of-function approaches, we further demonstrate that GAs regulate cell division plane orientation to establish the typical cellular organization of internodes, thus contributing to internode specification in the SAM., Peer reviewed