BUSCADOR RECOLECTA

Ecballium elaterium (common name: squirting cucumber) is an emerging weed problem in hedgerow or superintensive olive groves under no tillage. It colonizes the inter-row area infesting the natural or sown cover crops, and is considered a hard to control weed. Research in other woody crops has shown E. elaterium distribution in stands or patches and weed-free areas, which makes this weed susceptible to design a site-specific control strategy only addressed to E. elaterium patches. Therefore, our work adresses to develop a methodology based on the analysis of imagery acquired with an unmanned aerial vehicle (UAV) to detect and map E. elaterium infestations in hedgerow olive orchards for further design of site-specific control maps only for the E. elaterium infested areas. [Description of methods used for collection/generation of data] UAV flights and field work were conducted on 05/19/2021 and on 09/27/2021. Coordinates (XYZ) of the E. elaterium plants and patches were registered using a RTK GNSS. Aerial images were acquired with a quadcopter model Mavic Pro 2 (DJI, Shenzen, China) equipped with an RGB camera Hasselblad LID-20c with 20 Mp. The UAV was configured for flights at 50 m over the terrain following flight lines parallel to the olive trees lines. The aerial images had forward and side overlaps of 90% and 85%, respectively; UAV flights were carried around noon on sunny days with no wind. UAV images were processed with Agisoft Metashape Professional Edition software (Agisoft LLC, St. Petersburg, Russia) for the generation of the geomatic products used in the classification workflows: 1) the orthomosaic containing the spectral information, and 2) the Digital Surface Model (DSM) which provided height information. The orthomosaics and the DSMs from both fields and dates had a spatial resolution of 1.1 cm and 2.2 cm, respectively. The production of the geomatic products was automatic, with the exception of the manual measurement of 5 ground control points (GCPs) in the images (one in each corner plus one in the field center). GCP coordinates were measured in the field with a RTK GNSS receiver the day of flights., Ecballium elaterium (common name: squirting cucumber) is an emerging weed problem in hedgerow or superintensive olive groves under no tillage. It colonizes the inter-row area infesting the natural or sown cover crops, and is considered a hard-to-control weed. Research in other woody crops has shown E. elaterium has a patchy distribution, which makes this weed susceptible to design a site-specific control strategy only addressed to E. elaterium patches which would allow the design of efficient and minimal herbicide control protocol and a step forward in sustainable weed management. Therefore, the aim of this work was to develop a methodology based on the analysis of imagery acquired with an uncrewed aerial vehicle (UAV) to detect and map E. elaterium infestations in hedgerow olive orchards., UAV flights and field work were conducted on 05/19/2021 and on 09/27/2021. Coordinates (XYZ) of the E. elaterium plants and patches were registered using a RTK GNSS. Aerial images were acquired with a quadcopter model Mavic Pro 2 (DJI, Shenzen, China) equipped with an RGB camera Hasselblad LID-20c with 20 Mp. The UAV was configured for flights at 50 m over the terrain following flight lines parallel to the olive trees lines. The aerial images had forward and side overlaps of 90% and 85%, respectively. UAV flights were carried around noon on sunny days with no wind., UAV images were processed with Agisoft Metashape Professional Edition software (Agisoft LLC, St. Petersburg, Russia) for the generation of the geomatic products used in the classification workflows: 1) the Digital Surface Model (DSM) which provided height information, and 2) orthomosaic containing the spectral information. The orthomosaics and the DSMs from both fields and dates had a spatial resolution of 1.1 cm and 2.2 cm, respectively. The production of the geomatic products was automatic, with the exception of the manual measurement of 5 ground control points (GCPs) in the images (one in each corner plus one in the field center). GCP coordinates were measured in the field with a RTK GNSS receiver the day of flights., This research was funded by MCIN/AEI/10.13039/501100011033 (project: PID2020-113229RB-C44; acronym: PRODIGIA. Title: Optimimizing crop PROductivity for DIGItazing applications: integration of Architecture and spectral information., i) Ecballium Field1 Digital Surface Model May: geotiff file "" ii) Ecballium Field 1 Orthomosaic May: geotiff file "" iii) Ecballium Field 2 Digital Surface Model May: geotiff file "" iv) Ecballium Field 2 Orthomosaic May: geotiff file "" v) Ecballium Field 1 Digital Surface Model September: geotiff file "" vi) Ecballium Field 1 Orthomosaic September : geotiff file "" vii) Ecballium Field 2 Digital Surface Model September: geotiff file "" viii) Ecballium Field 2 Orthomosaic September: geotiff file "" ix) Ecballium patches coordinatesXYZ May: csv file "", Peer reviewed

Supplementary data 1. Fig. S1. LA-XRD patterns of non-calcined CAF@silica_A and CAF@silica_B. Fig. S2. TEM images of non-calcined CAF@silica_A (a) and CAF@silica_B (b). Fig. S3. FTIR spectra, from top to bottom: caffeine, CAF@SBA-15_IN_6g, CAF@SBA-15_EX, CAF@silica_B, CAF@zeolite Y_EX and CAF@MCM-41_IN., Peer reviewed

Electronic Supplementary Material (ESI) for Chemical Science. Supplementary figures and tables. Supporting Information References.-- All publication charges for this article have been paid for by the Royal Society of Chemistry., Peer reviewed

This upload contains the Datasets and code to generate the results of the article "Interaction network structure explains species temporal persistence in empirical plant-pollinator communities". The database comprises two files containing the abundances of plants and pollinators, and one containing the interaction networks among plants and pollinators. The code folder contains the code to generate the results, and to generate the figures of the manuscript., Poli-Stability: comprehensive assessment of stability in pollination communities 101064340, European Commission., Peer reviewed

Peer reviewed

Peer reviewed

OER current as a function of oxides loading, comparison between cyclic voltammetry versus chronoamperometry, impedance spectroscopy measurements, Co K-edge XANES spectra, density of states, Mott–Schottky plot, and BET surface area., Peer reviewed

High resolution X-ray reciprocal space maps, and additional TEM and EFM images and analysis., Peer reviewed

La Colección de Crustáceos Marinos (CRUST-IEOCD) forma parte de las CMR-IEO-CSIC (Colecciones Marinas de Referencia del IEO-CSIC), y surgió a partir de la necesidad de tener que identificar ejemplares de crustáceos procedentes de campañas llevadas a cabo por el Instituto Español de Oceanografía en aguas Africanas. Desde 2005 se comenzaron a recolectar ejemplares, siendo el 2011 el año en que se realizó una exhaustiva revisión taxonómica a partir de la cual se creó la colección oficialmente. Se ponen a disposición de GBIF más de 3100 registros (más de 8500 especímenes). Estos registros suponen el 70% del total de ejemplares depositados actualmente en esta colección. Se trata de ejemplares procedentes, en su mayoría, de campañas de arrastre realizadas por el Instituto Español de Oceanografía (IEO) en aguas africanas de Marruecos, Mauritania, Senegal, Gambia, Guinea-Bissau, Guinea, Guinea Ecuatorial, Namibia y Mozambique, otras campañas realizadas en aguas españolas del Golfo de Cádiz o Mar Cantábrico, o en el Banco de Porcupine (Irlanda), y de campañas perteneciente al proyecto EsMarEs (Estrategias Marinas en España). También aloja ejemplares de la década de los 50 del siglo pasado, donados por el Instituto de Ciencias Marinas de Andalucía (ICMAN-CSIC) y del Departamento de Zoología de la UMA. Además, se pretende tener una base de datos molecular (DNA barcode) de todas las especies depositadas en la CRUST-IEOCD, así como el almacenamiento de todos los especímenes voucher empleados para las codificaciones. En la actualidad se cuenta con 7% individuos voucher codificados, Peer reviewed

Details of samples fabrication method and experimental measurement procedures. Detailed characterization and indexation of all 4 individual DWNTs, based on ED, HRTEM, Rayleigh and Raman spectroscopies. PL spectra of (7,6)@(16,6) DWNT measured at 693 nm (1.79 eV) and 700 nm (1.77 eV) and plotted as a function of Raman shift (with 2G+2D Raman peak indicated in the figure). PL spectra of (14,1)@(15,12) DWNT. Raman spectra of individual SC@M (14,1)@(15,12) DWNT, measured at 776 nm (1.60 eV), 850 nm (1.46 eV) and 457 nm (2.71 eV), showing electronic Raman peaks. Resonant Raman excitation map and resonant Raman excitation profiles of (14,1)@(15,12) DWNT in the G-modes range., Peer reviewed