BUSCADOR RECOLECTA

Fig A. Design of traps to capture sediments. Petri box and filter were fixed at soil level and protected using a metal mesh., Mangrove vegetation is strongly dependent on the climate, the physicochemical variables of the sediment, and the hydrological dynamics. These drivers regulate the distribution of different mangrove ecotypes and their ecosystem services, so the net sediment accumulation rates in different mangrove ecotypes in Celestun Lagoon, a karstic zone in the NW Yucatan Peninsula, SE Mexico, were estimated. The measurements considering mangrove ecotypes and their spatial variability concerning the lagoon's salinity gradient (inner, middle, and outer lagoon zones) in three climate seasons (dry, rain, and “nortes”) were realized. We registered the structural variables of the forest, interstitial water physicochemical characteristics, and sediment variables that could influence the net sediment deposition. Fringe mangroves are exposed to low hydrodynamism and show the highest sedimentation rate (3.37 ± 0.49 kg m−2 year−1) compared to basin (1.68 ± 0.22 kg m−2 year−1), dwarf (1.27 ± 0.27 kg m−2 year−1), and “peten” (0.52 ± 0.12 kg m−2 year−1) mangroves. The highest sedimentation rate was recorded in the rainy season (0.24 ± 0.08 kg m−2 month−1), while spatially, the highest value was registered in the outer zone (0.44 ± 0.09 kg m−2 month−1). If the extension of each mangrove ecotype is considered, dwarf mangroves have the highest annual sediment accumulation (1,465 t year−1 in 14,706 ha). The structural, physicochemical, and sediment variables of the sites by mangrove ecotype show that dwarf mangroves represent a distinct group from those formed by fringe, basin, and peten mangroves. However, the sedimentation is high in fringe mangroves at the front of the lagoon and diminishes inland where peten mangroves exist. The differences are given by tree density, but salinity, as a proxy variable of the freshwater influence, significantly influences the sedimentation rate. These results indicate that mangroves in karstic environments can have critical roles in confronting climate change, considering water and sediment flows are the basis of sediment accumulation. According to their hydrogeomorphological drivers, conserving, managing, and restoring the mosaic of mangrove ecotypes improves ecosystem services, including mitigation and adaptation to climate change., Peer reviewed

Fig B. Error matrix for supervised classification in Celestun mangrove area., Mangrove vegetation is strongly dependent on the climate, the physicochemical variables of the sediment, and the hydrological dynamics. These drivers regulate the distribution of different mangrove ecotypes and their ecosystem services, so the net sediment accumulation rates in different mangrove ecotypes in Celestun Lagoon, a karstic zone in the NW Yucatan Peninsula, SE Mexico, were estimated. The measurements considering mangrove ecotypes and their spatial variability concerning the lagoon's salinity gradient (inner, middle, and outer lagoon zones) in three climate seasons (dry, rain, and “nortes”) were realized. We registered the structural variables of the forest, interstitial water physicochemical characteristics, and sediment variables that could influence the net sediment deposition. Fringe mangroves are exposed to low hydrodynamism and show the highest sedimentation rate (3.37 ± 0.49 kg m−2 year−1) compared to basin (1.68 ± 0.22 kg m−2 year−1), dwarf (1.27 ± 0.27 kg m−2 year−1), and “peten” (0.52 ± 0.12 kg m−2 year−1) mangroves. The highest sedimentation rate was recorded in the rainy season (0.24 ± 0.08 kg m−2 month−1), while spatially, the highest value was registered in the outer zone (0.44 ± 0.09 kg m−2 month−1). If the extension of each mangrove ecotype is considered, dwarf mangroves have the highest annual sediment accumulation (1,465 t year−1 in 14,706 ha). The structural, physicochemical, and sediment variables of the sites by mangrove ecotype show that dwarf mangroves represent a distinct group from those formed by fringe, basin, and peten mangroves. However, the sedimentation is high in fringe mangroves at the front of the lagoon and diminishes inland where peten mangroves exist. The differences are given by tree density, but salinity, as a proxy variable of the freshwater influence, significantly influences the sedimentation rate. These results indicate that mangroves in karstic environments can have critical roles in confronting climate change, considering water and sediment flows are the basis of sediment accumulation. According to their hydrogeomorphological drivers, conserving, managing, and restoring the mosaic of mangrove ecotypes improves ecosystem services, including mitigation and adaptation to climate change., Peer reviewed

Annex A. Equations to atmospheric correction using the DOS method., Mangrove vegetation is strongly dependent on the climate, the physicochemical variables of the sediment, and the hydrological dynamics. These drivers regulate the distribution of different mangrove ecotypes and their ecosystem services, so the net sediment accumulation rates in different mangrove ecotypes in Celestun Lagoon, a karstic zone in the NW Yucatan Peninsula, SE Mexico, were estimated. The measurements considering mangrove ecotypes and their spatial variability concerning the lagoon's salinity gradient (inner, middle, and outer lagoon zones) in three climate seasons (dry, rain, and “nortes”) were realized. We registered the structural variables of the forest, interstitial water physicochemical characteristics, and sediment variables that could influence the net sediment deposition. Fringe mangroves are exposed to low hydrodynamism and show the highest sedimentation rate (3.37 ± 0.49 kg m−2 year−1) compared to basin (1.68 ± 0.22 kg m−2 year−1), dwarf (1.27 ± 0.27 kg m−2 year−1), and “peten” (0.52 ± 0.12 kg m−2 year−1) mangroves. The highest sedimentation rate was recorded in the rainy season (0.24 ± 0.08 kg m−2 month−1), while spatially, the highest value was registered in the outer zone (0.44 ± 0.09 kg m−2 month−1). If the extension of each mangrove ecotype is considered, dwarf mangroves have the highest annual sediment accumulation (1,465 t year−1 in 14,706 ha). The structural, physicochemical, and sediment variables of the sites by mangrove ecotype show that dwarf mangroves represent a distinct group from those formed by fringe, basin, and peten mangroves. However, the sedimentation is high in fringe mangroves at the front of the lagoon and diminishes inland where peten mangroves exist. The differences are given by tree density, but salinity, as a proxy variable of the freshwater influence, significantly influences the sedimentation rate. These results indicate that mangroves in karstic environments can have critical roles in confronting climate change, considering water and sediment flows are the basis of sediment accumulation. According to their hydrogeomorphological drivers, conserving, managing, and restoring the mosaic of mangrove ecotypes improves ecosystem services, including mitigation and adaptation to climate change., Peer reviewed

Table A. Environmental variables in four ecological types of mangroves considering three seasons. T=Temperature, RP= Redox potential, FL=Flood level. Values are average ± SE. Table B. Environmental variables in three zones of the Celestun Lagoon. T=Temperature, RP= Redox potential, FL=Flood level. Values are average ± SE. Different characters represent differences among Lagoon zones (p=0.05). Table C. Characteristics of the sediments in three Celestun lagoon zones. BD= Bulk density, OM= Organic matter, TP= Total phosphorus, TN= Total nitrogen, TC= Total carbon, and OC= Organic carbon. Values are Mean ± Standard error. Different characters represent differences among Lagoon zones (p=0.05)., Mangrove vegetation is strongly dependent on the climate, the physicochemical variables of the sediment, and the hydrological dynamics. These drivers regulate the distribution of different mangrove ecotypes and their ecosystem services, so the net sediment accumulation rates in different mangrove ecotypes in Celestun Lagoon, a karstic zone in the NW Yucatan Peninsula, SE Mexico, were estimated. The measurements considering mangrove ecotypes and their spatial variability concerning the lagoon's salinity gradient (inner, middle, and outer lagoon zones) in three climate seasons (dry, rain, and “nortes”) were realized. We registered the structural variables of the forest, interstitial water physicochemical characteristics, and sediment variables that could influence the net sediment deposition. Fringe mangroves are exposed to low hydrodynamism and show the highest sedimentation rate (3.37 ± 0.49 kg m−2 year−1) compared to basin (1.68 ± 0.22 kg m−2 year−1), dwarf (1.27 ± 0.27 kg m−2 year−1), and “peten” (0.52 ± 0.12 kg m−2 year−1) mangroves. The highest sedimentation rate was recorded in the rainy season (0.24 ± 0.08 kg m−2 month−1), while spatially, the highest value was registered in the outer zone (0.44 ± 0.09 kg m−2 month−1). If the extension of each mangrove ecotype is considered, dwarf mangroves have the highest annual sediment accumulation (1,465 t year−1 in 14,706 ha). The structural, physicochemical, and sediment variables of the sites by mangrove ecotype show that dwarf mangroves represent a distinct group from those formed by fringe, basin, and peten mangroves. However, the sedimentation is high in fringe mangroves at the front of the lagoon and diminishes inland where peten mangroves exist. The differences are given by tree density, but salinity, as a proxy variable of the freshwater influence, significantly influences the sedimentation rate. These results indicate that mangroves in karstic environments can have critical roles in confronting climate change, considering water and sediment flows are the basis of sediment accumulation. According to their hydrogeomorphological drivers, conserving, managing, and restoring the mosaic of mangrove ecotypes improves ecosystem services, including mitigation and adaptation to climate change., Peer reviewed

Los datos se extrajeron de Twitter Analytics al finalizar cada mes del 2023. Se descargaron los ficheros con los datos por meses en csv y se compilaron en un fichero Excel con 12 hojas., Documento que contiene los tweets publicados por @DigitalCSIC en 2023., Peer reviewed

Supplementary Figures (1-10), Tables (1-5), Notes (1-2) and References., Peer reviewed

[Description of methods used for collection/generation of data] ATACseq and RNAseq methodology in different developmental stages, Analysis of the transcriptomes and chromatin accessibility of multiple developmental stages of the indirect-developing hemichordate Ptychodera flava. After the individual analysis of each sample, integration of ATACseq and RNAseq data was performed in order to reconstruct genetic and regulatory networks. These data were also compared to other species, what could shed light on deuterostome evolution., Ministerio de Ciencia e Innovación (grant PID2022-141288NB-I00)., supp_data_01.xlsx supp_data_02.xlsx supp_data_03.xlsx supp_data_04.xlsx supp_data_05.xlsx supp_data_06.xlsx supp_data_07.xlsx supp_data_08.xlsx supp_data_09.bed supp_data_10.tsv supp_data_11.tsv.gz supp_data_12.tsv.gz supp_data_13.xlsx supp_data_14.xlsx supp_data_15.xlsx supp_data_16.xlsx, Peer reviewed

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

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