BUSCADOR RECOLECTA

[Description of methods used for collection/generation of data] Data was collected using the DJI Matrice 300 RTK quadcopter equipped with the DJI Zenmuse L2 sensor. This sensor integrates a LiDAR system capable of detecting up to 5 returns within a range of 2 to 450 meters (with 50% reflectivity and 0 klx), as well as a 20 MP RGB mapping camera featuring a 4/3" CMOS sensor. This data was collected at an altitude of 80 meters and reprojected to the ETRS89 / UTM Zone 30N reference system, with the geoid configured to the Alicante height., [Methods for processing the data] Data was processed using DJI Terra v.4.3.0 software. During processing, the point cloud was generated with a resolution of 20 cm and an effective range of 40 to 200 meters. The DEM was generated at a scale of 1:500. Additionally, the flights were not conducted under RTK conditions due to connection difficulties, so the positioning information was corrected using the central point data from the base station, derived from the EMLID REACH 2 antenna., This repository contains the topographic products generated from Unmanned Aerial Vehicle (UAV) flights equipped with an LiDAR sensor, conducted over the Poyo´s Gully on November 10, 2024, after 12 days of the Cut-Off Low that occurred in Valencia on October 29, 2024. This repository includes a LiDAR point cloud and a centimeter-resolution Digital Elevation Model (DEM), covering the gully course from El Boni area at the Albufera (Latitude: 39.384528º; Longitude: -0.359503°) up to Torrent village (Latitude: 39.442071°; Longitude: -0.455153°). The equipment used were a DJI Zenmuse L2 sensor mounted on the DJI Matrice 300 RTK multirotor UAV, supported by positioning information provided by the EMLID Reach 2 antenna used as a base station. This information is useful for quickly assessing damage of infrastructures or the amount of sediment accumulated along the couser of the Gully, among others. The data will help technicians and managers in assisting in decision-making for restoration and prevention., Grupo de Asesoramiento en Desastres y Emergencias (GADE-CSIC)., 3 files: F20241110_BarrancoPoyo_DEM_L2_ICMAN-CSIC.tif (DEM model); F20241110_BarrancoPoyo_PointCloud_L2_ICMAN (Point Cloud model); F20241110_BarrancoPoyo_NotaProcesamiento_L2_ICMAN-CSIC.pdf (Processing note pdf), Peer reviewed

Supplementary Table S1: composition of the experimental control (C) and cocoa–carob-rich (CC) diets (g/kg dry weight). Supplementary Table S2: body weight data, food intake, and food efficiency of rats fed with standard (ZL and ZDF) and cocoa–carob-rich (ZDF-CC) diets, and treated with metformin and fed with standard (ZDF-M) and cocoa–carob-rich diets (ZDF-CC + M)., Peer reviewed

Peer reviewed

Figure S1. Flow diagram of the participants included in the GREENCOF study, based on the CONSORT 2010 (Consolidated Standards of Reporting Randomized Crossover Trials) guidelines. Figure S2. Changes in body fat percentage segmented by sex (women data are colored in red, while men in blue) and by type of coffee. Each dot represents an individual participant’s value. Figure S3. Changes in visceral fat area (in cm2) segmented by sex (women data are colored in red, while men in blue) and by type of coffee. Each dot represents an individual participant’s value. Figure S4. Changes in skeletal muscle mass percentage segmented by sex (women data are colored in red, while men in blue) and by type of coffee. Each dot represents an individual participant’s value. Table S1. CONSORT checklist of information to include when reporting randomized crossover trials., Peer reviewed

[Description of methods used for collection/generation of data] Handheld camera (APEMAN A60), [Methods for processing the data] The images are ortho-rectified using a vertical plane through calculation of a homography matrix, supported with the RANSAC algorithm (Vincent and Laganiére, 2001). Vincent, E. and R. Laganiére. 2001. Detecting planar homographies in an image pair. In Image and Signal Processing and Analysis ISPA 2001. Proceedings of the 2nd International Symposium on, pp. 182–187. IEEE., Orthorectified images of Poaceae species, specifically Lolium perenne L. (perennial ryegrass) and Phleum pratense L. (timothy grass), are presented in this dataset. The original images were captured using high-resolution RGB cameras, yielding an average size of 2736 x 2736 pixels per image. To correct for the “fisheye” distortion introduced by the APEMAN 60 camera and to ensure accurate spatial representation, the images underwent an orthorectification process, resulting in a standardized size of 912 x 912 pixels. This dataset is designed for use in deep learning applications, such as the classification and detection of weeds within Poaceae grass species., This research was funded by Grant PID2020-113229RBC43/AEI/https://doi.org/10.13039/501100011033., Ortho_rye, Ortho_timothy, Peer reviewed

Conversación entre Estefanía Valenzuela (investigadora) y Miriam Font (bibliotecaria), ambas de la Escuela de Estudios Árabes de Granada del CSIC, en torno al manuscrito del Tratado de agricultura de Ibn Luyūn, manuscrito datado en 1348. Este video forma parte de la exposición ‘Y sin embargo, se mueve: un viaje por los fondos digitalizados de la Red de Bibliotecas y Archivos del CSIC ’, elaborada a partir de documentos emblemáticos disponibles en el portal Simurg, fondos digitalizados del CSIC, y estrenada en junio de 2024 en las VI Jornadas de Análisis de la Red de Bibliotecas y Archivos del CSIC. Documento mencionado: Ibn Luyūn, Saʽd b. Aḥmad. كِتَابُ إِبْدَإِ المَلَاحَهْ وَإِنْهَإِ الرِّجَاحَهْ فِي أُصُولِ صِنَاعَةِ الفِلاَحَهْ ‏ [Manuscrito]. 1348. Signatura: ms14., Peer reviewed

Conversación entre Juan Pablo Arias Torres (investigador) y Concha de la Torre (bibliotecaria), ambos de la Escuela de Estudios Árabes de Granada del CSIC, en torno a un manuscrito del Corán fechado entre finales del siglo XVII y principios del XVIII que se custodia en la Biblioteca de la Escuela de Estudios Árabes. Este video forma parte de la exposición ‘Y sin embargo, se mueve: un viaje por los fondos digitalizados de la Red de Bibliotecas y Archivos del CSIC ’, elaborada a partir de documentos emblemáticos disponibles en el portal Simurg, fondos digitalizados del CSIC, y estrenada en junio de 2024 en las VI Jornadas de Análisis de la Red de Bibliotecas y Archivos del CSIC., Peer reviewed

Additional file1., Ministerio de Ciencia e Innovación Generalitat de Catalunya Catalan Government Ministerio de Economía y Competitividad Consejo Superior de Investigaciones Cientificas (CSIC), Peer reviewed

This dataset includes the genetic profiles (13 SSR and 240 SNP markers) of 40 grapevine genotypes identified in the living collection of Ain Taoujdate (Morocco), Peer reviewed

Synthesis and characterization of meso-substituted BODIPY derivatives 1f–i; Synthesis and characterization of formylated BODIPY derivatives 2f, 3c and 3d; Figure S1. Analysis of the chemical structure—antitrypanosomal activity relationship according to the selectivity index (SI) values of the BODIPY derivatives; Figure S2. Analysis of the chemical structure—antileishmanial activity relationship according to the selectivity index values of the BODIPY derivatives; Table S1. Inter-compound distances based on difference counts of Morgan fingerprints of radius 2, normalized so that the maximum distance between the BODYPI derivatives reported in this work was 1.0; Figure S3. Images of the most stable complexes of 1a (a), 1b (b), 1c (c), 1d (d), 1e (e), and 1f (f) with PRLm, as found in the molecular docking studies; Figure S4. Images of the most stable complexes of 1g (a), 1i (b), 1h (c), 2a (d), 2b (e), and 2c (f) with PRLm, as found in the molecular docking studies; Figure S5. Images of the most stable complexes of 2d (a), 2e (b), 2f (c), 3a (d), 3b (e), and 3c (f) with PRLm, as found in the molecular docking studies; Figure S6. Images of the most stable complexes of 3d (a) and 4c (b) with PRLm, as found in the molecular docking studies; Figure S7. Images of the most stable complexes of 1a (a), 1b (b), 1c (c), 1d (d), 1e (e), and 1f (f) with PRTb, as found in the molecular docking studies. Figure S8. Images of the most stable complexes of 1g (a), 1i (b), 1h (c), 2a (d), 2b (e), and 2c (f) with PRTb, as found in the molecular docking studies; Figure S9. Images of the most stable complexes of 2d (a), 2e (b), 2f (c), 3a (d), 3b (e), and 3c (f) with PRTb, as found in the molecular docking studies; Figure S10. Images of the most stable complexes of 3d (a), 4c (b) with PRTb, as found in the molecular docking studies; Figure S11. Adimensional affinities towards the amino acid residues in PRLm impacting the antileishmanial activity of BODIPY derivatives; Table S2. Population of each binding mode for each complex PRLm-BODIPY derivative complex; Table S3. Population of each binding mode for each complex PRTb-BODIPY derivative; Configuration of Autodock Vina used in the docking studies; Python Scripts., Peer reviewed