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Document S1. Methods S1 and supplemental references.--Table S1. Summary of the datasets of combinatorial community composition and function analyzed in this study, related to Figure 2..--Table S2. 16S rRNA gene sequences of the environmental isolates used in our experiment, related to Figure 1., Peer reviewed

[Description of methods used for collection/generation of data] Data were acquired through an RGB camera mounted on a UAV at an altitude of 11m., Identification of weed species at the early stages of growth is critical for precision agriculture. Accurate detection and classification to species level allows targeted control measures to be taken, significantly reducing pesticide use. This dataset consists of RGB images, captured with a Sony ILCE-6300L camera mounted on an unmanned aerial vehicle (UAV) at 11 meters altitude. The dataset covers several agricultural fields in Spain, focusing on two summer crops: corn and tomato. It is designed to improve the accuracy of early season weed detection by including images from two phenological stages. Specifically, the dataset contains 31,002 labeled images from the early growth stage - maize with four leaves unfolded (BBCH14) and tomato with the first flower bud visible (BBCH501) - as well as 36,556 images from a later growth stage - maize with seven leaves unfolded (BBCH17) and tomato with the ninth flower bud visible (BBCH509). In maize, weed species include Atriplex patula, Chenopodium album, Convolvulus arvensis, Datura ferox, Lolium rigidum, Salsola kali and Sorghum halepense. In tomato, weed species include Cyperus rotundus, Portulaca oleracea and Solanum nigrum. The images, stored in JPG format, were labeled by partitioning orthomosaics, with each image corresponding to a specific plant species. This dataset is ideal for developing advanced deep learning models, such as CNN and ViT, for early detection and classification of weed species in corn and tomato crops using UAV imagery. By providing this dataset, we aim to advance UAV-based weed detection and mapping technologies, contributing to precision agriculture with more efficient and accurate tools that promote sustainable and profitable agricultural practices., This work was supported by the Spanish Research State Agency (AEI) through the Project PID2020-113229RB-C41/AEI/10.13039/501100011033. The lead author, G.A. Mesías-Ruiz has been a beneficiary of a FPI fellowship by the Spanish Ministry of Education and Professional Training (PRE2018-083227)., Peer reviewed

Details on the structural (Table S1), EELS (Figures S1−S2), densities of states (Figure S3) and BSE data (Tables S2−S5) are provided. Table S6 summarizes the main results in terms of optical and excitonic properties of SM-, ZT-BiVO4, Anatase & Rutile TiO2., Peer reviewed

21 páginas, 1 figura, 7 tablas, Peer reviewed

Additional file 1. Additional file regarding the complete atomic composition of the nanoparticles and the chemical environment of the C present in the NPs is included. Moreover, in the Additional file it is also shown a scheme of the functionalization process performed with the EDC-NHS linker and the CD9 antibody binding. Figure S1.. Hysteresis loop measured at 300 K for the Fe3O4–EDC-NHS-NPs. The NPs show superparamagnetic properties at room temperature. Figure S2.. A) Complete atomic percentage of Fe3O4NPs and Fe3O4–EDC-NHS-NPs during 30 days after their synthesis. B) Study of the atomic environment of the C present in the NPs. Figure S3.. A) NTA of control exosomes and B) DLS of magnetic nanoparticles employed for the exosome capture. Figure S4.. A) Scheme of the functionalization of the MNPs with the EDC-NHS linker, followed by the CD9 antibody binding., Peer reviewed

BAM images of Langmuir film formation, GIXRD characterization of LB films (1 and 3 layers) and the resonant frequency change of a QCM during a CO2 adsorption experiment., Peer reviewed

Calculations of cooling power density, average solar reflectance, transmittance of a free-standing AAO nanostructure, and FE SEM images of the free-standing AAO nanostructures, Peer reviewed

Over 3620 km2 of high-resolution bathymetry from the Palomares continental slope was analyzed to quantify the impact of recent mass movements on this margin, which is located in the W. Mediterranean Sea. A total of 936 landslides were identified, mapped and characterized by defining several morphometric variables that outline the accumulated impact of landslides equivalent to 918 km2 and 10.34 km3 of eroded sediment on the continental slope. The smallest event was 0.0014 km2, while the largest was 32.48 km2. The size-frequency analysis of the dataset is consistent with those of other published inventories, including onshore cases. This result allows us to assume that the scale-invariant properties of the events mapped. Scale-invariant properties can be explained by different models; self-organized criticality (SOC) is probably the most assumed by the scientific community, although alternative models may be nominated. Each model has important implications in terms of the landslide distribution and long-term landslide history of any slope. Alternative scenarios, such as submarine slopes, with more precise landslide inventories may contribute to new hazard assessment models that consider scaling exponents derived from size–frequency distributions, Spanish projects inGravitas (PID2022-138258OB-I00) and FAUCES (CTM2015-65461-C2-1-R)., With the institutional support of the ‘Severo Ochoa Centre of Excellence’ accreditation (CEX2019-000928-S), Peer reviewed

A video corresponding to the 3D models of the nanostructured Au–Ag nanoparticle of Figure 1c as well as additional EELS measurements and DDA simulations., Peer reviewed

Our framework is based on stereotaxic injections of neurotoxins (saline contralaterally) in the rat hippocampus, followed by MRI acquisition, perfusion and histology. Specifically, we injected: i) lipopolysaccharide (LPS) to induce microglia and astrocyte reactivity, ii) ibotenic acid to induce microglia reactivity, proliferation and neuronal death in the hippocampus, and axonal damage in the fimbria, i.e., its main projection to the prefrontal cortex, and iii) LPS animals pre-treated with PLX5622 to deplete microglia and isolate astrocyte. Then, the rats underwent an MRI protocol comprising a stimulated echo diffusion weighted MRI sequence (b=0, 2000 and 4000 s/mm2, diffusion times 15-60 ms)., Peer reviewed