BUSCADOR RECOLECTA

Quantum-dot (QD) solids are being widely exploited as a solution-processable technology to develop photovoltaic, light-emission, and photodetection devices. Charge transport in these materials is the result of a compromise between confinement at the individual QD level and electronic coupling among the different nanocrystals in the ensemble. While this is commonly achieved by ligand engineering in colloidal-based systems, ligand-free QD assemblies have recently emerged as an exciting alternative where nanostructures can be directly grown into porous matrices with optical quality as well as control over their connectivity and, hence, charge transport properties. In this context, we present a complete photophysical study comprising fluence- and temperature-dependent timeresolved spectroscopy to study carrier dynamics in ligand-free QD networks with gradually varying degrees of interconnectivity, which we achieve by changing the average distance between the QDs. Analysis of the photoluminescence and absorption properties of the QD assemblies, involving both static and timeresolved measurements, allows us to identify the weight of the different recombination mechanisms, both radiative and nonradiative, as a function of QD connectivity. We propose a picture where carrier diffusion, which is needed for any optoelectronic application and implies interparticle transport, gives rise to the exposure of carriers to a larger defect landscape than in the case of isolated QDs. The use of a broad range of fluences permits extracting valuable information for applications demanding either low- or high-carrier-injection levels and highlighting the relevance of a judicious design to balance recombination and diffusion., HM is thankful for the financial support of the Spanish Ministry of Science and Innovation under grant PID2020-116593RB-I00, funded by MCIN/AEI/10.13039/501100011033, and of the Junta de Andalucía under grant P18-RT-2291 (FEDER/UE). HM, JFGL, and DOT acknowledge financial support from the European Union’s Horizon 2020 research and innovation program under the Marie Skłodowska-Curie grant agreement No 956270 (Persephone). ARSK acknowledges the start-up funds provided by Wake Forest University and funding from the Center for Functional Materials and the Office of Research and Sponsored Programs at WFU., (Folder > File.txt) Figure 1 Figure_1c(norm. Abs).txt Figure_1d(PL).txt Figure_1e(PLQY).txt Figure 2 Figure_2a (TRPL_raw_bulk).txt Figure_2b (TRPL_raw_30per).txt Figure_2c (TRPL_raw_20per).txt Figure_2d (TRPL_raw_10per).txt Figure_2e (TRPL_raw_5per).txt Figure_2i (TRPL_photon_flux_bulk).txt Figure_2j (TRPL_photon_flux_30per).txt Figure_2k (TRPL_photon_flux_20per).txt Figure_2l (TRPL_photon_flux_10per).txt Figure_2m (TRPL_photon_flux_5per).txt Figure 3 Figure_3a (PLQY_bulk).txt Figure_3b (rel_PLQY_Tdep_30per).txt Figure_3c (rel_PLQY_Tdep_20per).txt Figure_3d (rel_PLQY_Tdep_10per).txt Figure_3e (rel_PLQY_Tdep_5per).txt Figure 4 Figure_4a (30per_norm_PL_80K).txt Figure_4b (5per_norm_PL_80K).txt Figure_4c (30per_TA_77K_N=15d5).csv Figure_4d (5per_TA_77K_N=11d1).csv Figure 5 Figure 5a (30per_GSB_decay).txt Figure 5b (5per_GSB_decay).txt Figure 5c (30per_GSB_decay_derivative).txt Figure 5d (5per_GSB_decay_biexciton_fit_all).txt, Peer reviewed

Supplementary material to DESI's publication "Target Selection for the DESI Peculiar Velocity Survey" to comply with the data management plan. Contains data for: Figure 1: color-color diagram, comparing truth catalogues to data from the survey. Data contains all observational colors to construct the heatmap and the colors of the two truth catalogues shown in the left and right panel respectively. Figure 2: Sersic index for different morphological types. Data contains relative number counts to reproduce the histogram. Figure 3 consists of images, hence not included here. Figure 4: quality metrics for ETG classification. Data includes the various metrics as a function of elliptical probability. Figure 5: Success rate for different magnitudes. Data contains all the plotted data points as a function of magnitude. Figure 6: pPXF example for ETG: Data contains the plotted spectrum and model. Figure 7: quality metrics for LTG classification. Data includes the various metrics as a function of spiral probability. Figure 8: example for TF measurements: Data contains the two spectra shown in the figure. Figure 9: example of rotation curves from MaNGA: Data contains the individual measurements, fit, and shown example. Figures 10 + 11: comparison between the observed rotational velocities and calculated one. Data contains DESI and MaNGA measurements as well as expected values from the fit. Figure 12: Sky distribution of PV surveys. Data contains the coordinates of the targets of all the surveys shown. Figure 13: Redshift distribution of different PV surveys and our targets. Data contains the number counts to reproduce the histogram. Figure 14: Forecast for f-sigma8 constraints. Data contains the predictions from different theories and the forecast for DESI (PV and/or BGS). Figure 15: Forecasts for measurements of the velocity power spectrum. Data contains the forecast for the DESI., Australian Laureate Fellowships - Grant ID: FL180100168 FL180100168 Australian Research Council, Peer reviewed

Crystallographic data for the structural analysis have been deposited with the Cambridge Crystallographic data Center, CCDC 1451708 for the complex. Copies of the data can be obtained free of charge at www.ccdc.cam.ac.uk/conts/retrieving.html., Peer reviewed

Supplementary PIC simulation movies for the MNRAS article titled ''3D PIC Simulations for Relativistic Jets with a Toroidal Magnetic Field'', by Meli, Nishikawa, Kohn, et al, With funding from the Spanish government through the "Severo Ochoa Centre of Excellence" accreditation (CEX2021-001131-S)., Peer reviewed

This appendix contains additional materials that are referenced in the main body of this paper., Peer reviewed

Table 2: List of UV fluxes for the sample of AGN and references. Table 3: Chemical abundances estimated from HCm-UV, using the grid of AGN models for alpha(OX) = -1.2 and the stopping criteria of 98% of free electrons. Dust-free or grain-included models are selected based on their C3C4 value., We present an adapted version of the code HII-CHI-mistry-UV (Perez-Montero & Amorin 2017) to derive chemical abundances from emission lines in the ultraviolet, for use in narrow line regions (NLR) of Active Galactic Nuclei (AGN). We evaluate different ultraviolet emission line ratios and how different assumptions about the models, including the presence of dust grains, the shape of the incident spectral energy distribution, or the thickness of the gas envelope around the central source, may affect the final estimates as a function of the set of emission lines used. We compare our results with other published recipes for deriving abundances using the same emission lines and show that deriving the carbon-to-oxygen abundance ratio using C iii] λ 1909 Å and O iii] λ 1665 Å emission lines is a robust indicator of the metal content in AGN that is nearly independent of model assumptions, similar to the case of star-forming regions. Moreover, we show that a prior determination of C/O allows for a much more precise determination of the total oxygen abundance using carbon UV lines, as op- posed to assuming an arbitrary relationship between O/H and C/O, which can lead to non-negligible discrepancies., This work has been partly funded by projects Estallidos7 PID2019-107408GB-C44 (Spanish Ministerio de Ciencia e Innovacion), and the Junta de Andalucia for grant EXC/2011 FQM-7058. This work has been also supported by the State Agency for Research of the Spanish MCIU 'Centro de Excelencia Severo Ochoa' Program under grant SEV-2017-0709. EPM also acknowledges the assistance from his guide dog Rocko without whose daily help this work would have been much more difficult. RA acknowledges financial support from ANID Fondecyt Regular 1202007. RGB acknowledges financial support from grant PID2019-109067-GB100., Peer reviewed

-1H and 13C{1H} NMR spectra of L2, 3, and 7; 1H and 31P{1H} NMR spectra of the outcome of the reaction of 1 with 3; images and metric parameters of the DFT-optimized structures of 3, 4, 6, and 7; results of catalytic experiments; crystal, measurement, and refinement data for the compounds studied by XRD (PDF). -Atomic coordinates for the calculated structures (XYZ)., Peer reviewed

[Description of methods used for collection/generation of data] Individual capture histories were built from long-term individual capture-recapture monitoring of adult Scopoli’s shearwater Calonectris diomedea breeding in Pantaleu islet. Some of these individuals were also equipped with geolocators, that when recovered, may provide information of wintering movements and individual wintering areas. All the information about the deployment of geolocators devices and wintering areas visited are encoded in the individual capture histories. The file includes 23 annual encounter occasions, which translate into 45 coded encounter occasions, with the ‘inter’ encounter occasions encoding information about presence in the colony and migratory decisions, and the ‘intra’ occasions encoding information about whether a geolocator had been deployed or not at the end of the season., Long-term individual capture-recapture monitoring of adult Scopoli’s shearwater Calonectris diomedea breeding in Pantaleu islet has been carried out by: M Genovart, JM Igual, A Sanz-Aguilar, G Tavecchia, A Rotger & D Oro. Information from geolocators on wintering movement and wintering areas were analysed by R Ramos, T Militão, D Vicente-Sastre, B Garcia-Urdangarin & J González-Solís., Este fichero contiene información de las historias de captura individuales de Pardela cenicienta criando en el islote de Pantaleu, Mallorca, durante el período 2000-2022. En estas historias de captura anuales se ha incluido información de la colocación de dispositivos geolocalizadores en algunos de estos individuos, y la información que se obtuvo de las zonas de invernada visitadas por estos individuos., Peer reviewed

Suppl. Figure 1. Percentage of FES patients in symptomatic remission throughout the study., Suppl. Figure 2. Percentage of FES patients in functional remission throughout the study., Suppl. Figure 3. Clustered boxplot displaying the mean depression scores per time point (measured using the Hamilton Depression Rating Scale) in the subgroup meeting criteria for a depressive episode at baseline (assessed through the SCID-I) versus the subgroup without a depressive episode at baseline., Suppl. Table 1. Baseline demographics and clinical characteristics of study completers and drop-outs., Suppl. Table 2. Number of patients in symptomatic and functional remission throughout the period of follow-up., Suppl. Table 3. Generalized linear mixed models: pairwise contrasts for symptomatic and functional remission., Suppl. Table 4. Linear mixed models: estimated marginal means for PANSS, GAF, SOFAS, CGI, GF-S, GF-R and HAM-D., Suppl. Table 5. Linear mixed models: estimates of fixed effect time on PANSS, GAF, SOFAS, CGI, GF-S, GF-R and HAM-D., Suppl. Table 6. Number of patients admitted to the hospital since the previous visit due to psychotic symptoms and due to psychiatric reasons in general., Suppl. Table 7. Substances used at least once in the past three months (WHO-ASSIST)., Suppl. Table 8. Number of patients reporting daily or almost daily substance use in the past three months, separated per time point and substance category (WHO-ASSIST)., Suppl. Table 9. Number of patients reporting daily or almost daily substance use in the past three months, separated for the group of symptomatic remitters and non-remitters at month 12., Suppl. Table 10. Baseline demographics and clinical characteristics of symptomatic remitters and non-remitters at month 12., Suppl. Table 11. Summary of sociodemographics and baseline clinical characteristics of FES participants, separated per country., Suppl. Table 12. Number of FES patients in symptomatic remission throughout the period of follow-up, separated per country., Suppl. Table 13. Number of FES patients in functional remission throughout the period of follow-up, separated per country., Suppl. Table 14. Number of FES patients admitted to the hospital for psychiatric reasons throughout the period of follow-up, separated per country., Suppl. Table 15. Number of FES patients admitted to the hospital for psychosis throughout the period of follow-up, separated per country., Suppl. Table 16. Number of FES patients using antipsychotic medication throughout the period of follow-up, separated per country., Suppl. Table 17. Overview of subjects not meeting eligibility criteria., Suppl. Table 18. Number of patients in symptomatic and functional remission throughout the period of follow-up when using alternative definitions., Suppl. Table 19. Generalized linear mixed models: pairwise contrasts for symptomatic and functional remission when using alternative definitions., Peer reviewed

Solvents (chloroform and ethyl acetate) were obtained from Scharlau chemical company. The seawater (supplied by Rioka del Cantábrico, S.L.) was taken from the Matxitxako cape at the Urdaibai biosphere reserve in the Cantabrian Sea (Spain). The microalgae Chlorella Vulgaris was acquired to Biotiva (Germany) as a fine dehydrated powder and used without additional treatment. Almond hulls were from Marcona-type almonds harvested in Spain.-- A stainless-steel batch autoclave (300 mL) equipped with a speed-controlled mechanical stirrer (Parker Autoclave Engineers) was used for the hydrothermal experiments.-- Under a Creative Commons license BY-NC 4.0., The proximate analysis of algae and almond hulls were analyzed by thermogravimetric analysis (ISO-18134:2016, ISO-18122:2016 and ISO-18123:2016). The elemental composition of the feedstocks was determined using an elemental analyzer. The biochemical composition of almond hulls was determined by chemical titration according to Hu et al, whereas biochemical composition was provided by the supplier.-- Table S1: Properties and composition of seawater. Table S2: Characterization results of C. vulgaris and almond hulls. Table S3: Processing conditions and experimental results for the co-HTT of C. vulgaris and almond hulls. Table S4: Relative influence of feedstock composition and processing conditions and interactions based on ANOVA analyses and cause-effect Pareto principle. Table S5: Detailed GC-MS peak area for biocrude (area%). Table S6: Process Optimization: Theoretical values vs. Experimental values., Peer reviewed