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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: EFSA; ECDC;

    All tables produced for the European Union Summary Report on Antimicrobial Resistance in Zoonotic and Indicator Bacteria from Humans, Animals and Food in 2022: - Campylobacter - E. coli - MRSA - Salmonella - ESBL Annexes A to F are also included. EU; PDF; biohaw@efsa.europa.eu

    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ ZENODOarrow_drop_down
    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    ZENODO
    Dataset . 2024
    License: CC BY
    Data sources: ZENODO
    ZENODO
    Dataset . 2024
    License: CC BY
    Data sources: Datacite
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      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ ZENODOarrow_drop_down
      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
      ZENODO
      Dataset . 2024
      License: CC BY
      Data sources: ZENODO
      ZENODO
      Dataset . 2024
      License: CC BY
      Data sources: Datacite
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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: Widl, Edmund; Janev, Valentina; Timcenko, Valentina; Bostjancic Rakas, Slavica; +5 Authors

    ERIGrid 2.0 organised together with SINERGY and RESili8 an online training series on 19-22 February 2024 related to the digitalisation of smart energy systems. The training event has been split into the following four parts: Lecture 1, Monday, February 19, 2024, 14:00-16:00 CET, “Modelling and simulation of integrated energy systems”, E. Widl (AIT Austrian Institute of Technology) Lecture 2, Tuesday, February 20, 2024, 14:00-16:00 CET, “Integrated Energy Services, Cyber Security Issues, and Analytical Services”, V. Janev, V. Timcenko, S. Rakas, D. Jelic (Institute Mihajlo Pupin) Lecture 3, Monday, February 21, 2024, 14:00-16:00 CET, “Designing and Validating Cyber-Physical Energy Systems”, F. Pröstl Andrén, T. Strasser (AIT Austrian Institute of Technology) Lecture 4, Monday, February 22, 2024, 14:00-16:00 CET, “Cyber-Physical Tests Beds for Validation of Large-Scale Smart Grid Apps”, C. Gavriluta, D. Vettoretti (AIT Austrian Institute of Technology)

    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ ZENODOarrow_drop_down
    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    ZENODO
    InteractiveResource . 2024
    License: CC BY
    Data sources: ZENODO
    ZENODO
    InteractiveResource . 2024
    License: CC BY
    Data sources: Datacite
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      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ ZENODOarrow_drop_down
      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
      ZENODO
      InteractiveResource . 2024
      License: CC BY
      Data sources: ZENODO
      ZENODO
      InteractiveResource . 2024
      License: CC BY
      Data sources: Datacite
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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: Surugiu, Romina; Apostol, Nicoleta-Elena;

    Digital Transformation, Media and Social Inequalities Bucharest, Romania, 25-26 January 2024 Call for papers Recent technological developments and transformations in media and communication require a global reflection on their effects and outcomes on society, democracy and business. The platformisation process with its institutional dimensions: data infrastructures, markets and governance (Poell, Nieborg & van Dijck, 2019) led to new business models and relationships between social, market and political actors. Journalism as an institution has been under question for over a decade or even two (Deuze, 2020) as the news industry is declining. Journalism as a profession strives to retain or regain the people’s trust. With its recent advances artificial intelligence is seen as a threat or a chance for humanity. The AI’s impact on the media and communication sector is open for debate. Is it a threat or an asset for professional practice? At the same time, the hybridisation of communication professions – roughly defined as a mixture of journalistic and public relations and advertising&marketing practices in the digital context – adds new challenges in maintaining a fair and democratic public sphere and ensuring equal access to quality information. Our focus is to foster an open academic debate on broad themes related to the outcomes of digital transformation in contemporary media and communication. We encourage contributions that adhere to the critical sociology perspective.

    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ ZENODOarrow_drop_down
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    ZENODO
    Other ORP type . 2024
    License: CC BY
    Data sources: ZENODO
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      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ ZENODOarrow_drop_down
      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
      ZENODO
      Other ORP type . 2024
      License: CC BY
      Data sources: ZENODO
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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/

    WORKING VERSION. All layers will be visible in this linked webgis app along with estimated error. <== To Be Updated in new final version, not yet so. The layers available in this dataset are in a WGS84 geographic coordinate reference system (EPSG:4326) where latitude and longitude coordinates at 0.0008983 degrees ground sampling distance per cell, which corresponds to about 1 ha, i.e. ~100 m x ~100 m at the equator, but decreases in area with increasing latitude as the coordinate system is not equal-area, e.g. ~70 m west-est direction at 45° latitude and ~50 m west-est direction at 60° latitude. A_Aspect.tif, A_slope.tif and A__elevation.tif - Earth surface height above sea level and morphology. Prefix was added to group them in Zenodo. biomass.tif - Biomass values at year 2020, Mg/ha. canopyBulkDensity.tif - Amount of canopy biomass per volume of canopy (kg/m3) canopyBaseHeight.tif - Height of canopy start measured from the ground (m) canopyCover.tif - percent of canopy coverage - resampled and updated from the map of Hansen et al. 2005 canopyHeight.tif - Total height of canopy from the ground (m) - resampled from the map of Lang, N., et al. (2023) Fuel Model FuelModelClasses_ScottBurgan.tif - the category of Fuel Model according to Scott&Burgan 2005 FuelModelClasses_Aragonese.tif - the category of Fuel Model according to Aragonese et al. 2023 DOI: 10.5194/essd-15-1287-2023 - values are from 1 to 24, with a Look Up Table for correspondence (values are ordered matching the order in table 1 of the article) . FuelModelClasses_ScottBurgan.clr/qml CLR/QML - style file for QGIS FuelModelClasses_Aragonese.clr/qml CLR/QML - style file for QGIS FuelModelPercent.tif - the percent of fuel model category belonging to that pixel, values range between 50 and 100. Allows to spot pixels with expected mixed fuel categories.

    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ ZENODOarrow_drop_down
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    ZENODO
    Dataset . 2024
    License: CC BY
    Data sources: ZENODO
    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    ZENODO
    Dataset . 2024
    License: CC BY
    Data sources: ZENODO
    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    ZENODO
    Dataset . 2023
    License: CC BY
    Data sources: ZENODO
    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    ZENODO
    Dataset . 2024
    License: CC BY
    Data sources: ZENODO
    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    ZENODO
    Dataset . 2024
    License: CC BY
    Data sources: ZENODO
    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    ZENODO
    Dataset . 2024
    License: CC BY
    Data sources: ZENODO
    ZENODO
    Dataset . 2024
    License: CC BY
    Data sources: Datacite
    ZENODO
    Dataset . 2024
    License: CC BY
    Data sources: Datacite
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      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
      ZENODO
      Dataset . 2024
      License: CC BY
      Data sources: ZENODO
      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
      ZENODO
      Dataset . 2024
      License: CC BY
      Data sources: ZENODO
      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
      ZENODO
      Dataset . 2023
      License: CC BY
      Data sources: ZENODO
      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
      ZENODO
      Dataset . 2024
      License: CC BY
      Data sources: ZENODO
      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
      ZENODO
      Dataset . 2024
      License: CC BY
      Data sources: ZENODO
      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
      ZENODO
      Dataset . 2024
      License: CC BY
      Data sources: ZENODO
      ZENODO
      Dataset . 2024
      License: CC BY
      Data sources: Datacite
      ZENODO
      Dataset . 2024
      License: CC BY
      Data sources: Datacite
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    Authors: nicolas, olatz; Larrinaga, Felix;

    This dataset contains the information used in the drOp project (Digitally enabled social district renovation processes for age-friendly environments driving social innovation and local economic development. Num.101080025) to build a multidimensional characterization of Ermua and the Santa Ana neighbourhood through relevant indicators, and its visualisation in a Geographic Information System (GIS) by analysing statistical data, as well as other urban and social data available

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    ZENODO
    Dataset . 2024
    License: CC BY
    Data sources: ZENODO
    ZENODO
    Dataset . 2024
    License: CC BY
    Data sources: Datacite
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      ZENODO
      Dataset . 2024
      License: CC BY
      Data sources: ZENODO
      ZENODO
      Dataset . 2024
      License: CC BY
      Data sources: Datacite
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    Authors: Pfeifer, Catherine;

    Database created for identifying mixed agriculture landscape in the framework of workpackage 3, task 3.3 Mapping mixed landscapes in Europe using existing data (top-down approach) of the MIXED project (Multi-actor and transdisciplinary development of efficient and resilient MIXED farming and agroforestry-systems) This database is presented and used in deliverable 3.3 Identifying the potential for expansion of mixed farming in European regions. This data record contains the final database used for delivererable 3.3 (databaseD3.3.csv) a description of the data in the database (datadescription.xlsx) the shapfiles to create maps from the database (map.xxx) Note that the data description files mentions the source of the raw data. Please consult the deliverable to understand how the data was processed and how the map was created.

    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ ZENODOarrow_drop_down
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    ZENODO
    Dataset . 2024
    License: CC BY
    Data sources: ZENODO
    ZENODO
    Dataset . 2024
    License: CC BY
    Data sources: Datacite
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      ZENODO
      Dataset . 2024
      License: CC BY
      Data sources: ZENODO
      ZENODO
      Dataset . 2024
      License: CC BY
      Data sources: Datacite
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    Authors: EFSA; Di Piazza, Giulio; Dujardin, Bruno; Levorato, Sara; +4 Authors

    Aiming at accelerating the implementation of cumulative risk assessment to pesticide residues, EFSA performed a two‐step prioritisation analysis, on individual pesticides and on target organ systems, that allows to identify (i) low‐priority substances expected to have a marginal contribution to cumulative risk, and (ii) high priority organ systems to be addressed in future cumulative risk assessments. The analysis encompassed 350 substances and 36 raw primary commodities of plant origin surveyed in the monitoring cycle 2019–2021, carried out in 30 population groups, covering 3 age classes, and 17 EU countries. Probabilistic exposure calculations, for chronic and acute effects, were executed on the occurrence and consumption data by a two‐dimensional procedure, modelling variability and uncertainty. The input data for the prioritsation of chronic and acute exposure risk assessment to pesticide residues and the output data produced are reported in the following annexes: Annex A.1 – Input data for the prioritisation of chronic cumulative risk assessment to pesticide residues;Annex A.2 – Input data for the prioritisation of acute cumulative risk assessment to pesticide residues;Annex B.1 – Output data from the chronic exposure assessment of pesticides that have an EU-agreed health-based guidance value;Annex B.2 – Output data from the chronic exposure assessment of pesticides that have a tentative health-based guidance value;Annex B.3 – Output data from the acute exposure assessment of pesticides that have an EU-agreed health-based guidance value;Annex B.4 – Output data from the acute exposure assessment of pesticides that have a tentative health-basedguidance value;Annex C.1 – Output data from the combined exposure assessment of pesticides that may have chronic effects on theinvestigated target organ systems;Annex C.2 – Output data from the combined exposure assessment of pesticides that may have acute effects on theinvestigated target organ systems Detailed information on methodology, results and conclusions are included in the full report 'Prioritisation of pesticides and target organ systems for dietary cumulative risk assessment based on the 2019–2021 monitoring cycle', DOI: 10.2903/j.efsa.2024.8554.  EU; xlsx; mese@efsa.europa.eu;

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    ZENODO
    Dataset . 2024
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    ZENODO
    Dataset . 2024
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      ZENODO
      Dataset . 2024
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      ZENODO
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    Authors: Mar, Ariza-Sentís; Kaiwen, Wang; Zhen, Cao; Sergio, Vélez; +1 Authors

    This dataset contains UAV RGB videos (MP4) recorded with a Phantom4 RTK in a vineyard during the harvesting campaign of 2023. It also includes frames and annotations (PNG) to boost Object Detection and Tracking of grape bunches. There are two types of videos: (1) videos capturing the side of the canopy from a frontal point of view only, and (2) videos that collect the data from multiple perspectives to avoid leaf occlusion, common in commercial vineyards. All flights were executed 3 meters above ground level, with a clear sky and wind speed below 0.5 m/s.

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    ZENODO
    Dataset . 2024
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    ZENODO
    Dataset . 2024
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      ZENODO
      Dataset . 2024
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      ZENODO
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    Authors: Nguyen, Hong Anh; MULLER, BERTRAND; Martre, Pierre;

    The dataset comprises estimates of six major parameters of the root system architecture model ArchiSimple for 14 bread wheat cultivars grown in several experiment experiments carried out two high-throughput root phenotyping platforms (4MPI at INRAE, UMR AgroEcologie and RootPheAir at UCL) with different growth media and non-destructive imaging systems together with a conventional set-up in the green house in the Montpellier Plant Phenotyping Platforms (M3P, INRAE, UMR LEPSE) with a solid growth medium. Data for the two to three replicate plants in each experiments are reported. The dataset also include daily weather data in each experiment. A detailed description of the plant growth conditions and Methods can be found in theassociated publication.

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    ZENODO
    Dataset . 2024
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    ZENODO
    Dataset . 2024
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      ZENODO
      Dataset . 2024
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      Dataset . 2024
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    Authors: Lostrangio, Carla; García Lera, Miranda; Euromontana;

    Every year the world celebrates the International Mountain Day on 11 December. This international day was launched for the first time in 2003 and since then, it has become a symbolic date to acknowledge the uniqueness of mountains across the world. As years passed, the predominant vision about mountains as mere “fragile ecosystems” has been increasingly challenged. A new narrative that looks at mountains as territories of opportunity has emerged and is becoming more and more widely accepted. On this special day for mountains, we thus call on policy makers at all levels to acknowledge the contribution of rural, remote and mountain areas to Europe’s green and digital transition, and more particularly the role of communities, who need to see their role fully recognized in this new narrative. We also firmly believe that this transformation towards more sustainable, liveable and future-oriented mountain areas cannot be achieved without women. Women are a key pillar of mountain regions. They are backbone of the family, they often are entrepreneurs, they nurture relations within their own communities and with their younger relatives who have left mountain areas. Women are custodians of traditions and knowledge, but also fighters and drivers of change in the mountains. With this booklet, we thus want to welcome and celebrate this year’s International Mountain Day theme “Women move mountains”. Making a fresh, inclusive narrative for the future of mountains is a small but crucial first step. This publication is the result of a collaboration between the MOVING project, an international and multidisciplinary research project to strengthen the resilience of mountain products value chains, and Euromontana, the European Association of Mountain Areas. This booklet is a compilation of 13 testimonies from women who either live in mountain areas or work to make them more sustainable and futurefocused. Their testimonies unite the voices, narratives, and perspectives of women operating in several fields important to the future of mountains who hail from various mountain ranges in Europe. This booklet also demonstrates how important women's roles are in their communities. It also highlights that mountain women face with similar challenges, and above all, lack of adequate recognition. Lastly, this brochure also looks at the opportunities that women have in mountain areas. Mountains and the women who live in mountainous areas are in a period of transformation. We hope that this booklet will inspire you. Enjoy your reading!

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    ZENODO
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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: EFSA; ECDC;

    All tables produced for the European Union Summary Report on Antimicrobial Resistance in Zoonotic and Indicator Bacteria from Humans, Animals and Food in 2022: - Campylobacter - E. coli - MRSA - Salmonella - ESBL Annexes A to F are also included. EU; PDF; biohaw@efsa.europa.eu

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    ZENODO
    Dataset . 2024
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    Dataset . 2024
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      ZENODO
      Dataset . 2024
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    Authors: Widl, Edmund; Janev, Valentina; Timcenko, Valentina; Bostjancic Rakas, Slavica; +5 Authors

    ERIGrid 2.0 organised together with SINERGY and RESili8 an online training series on 19-22 February 2024 related to the digitalisation of smart energy systems. The training event has been split into the following four parts: Lecture 1, Monday, February 19, 2024, 14:00-16:00 CET, “Modelling and simulation of integrated energy systems”, E. Widl (AIT Austrian Institute of Technology) Lecture 2, Tuesday, February 20, 2024, 14:00-16:00 CET, “Integrated Energy Services, Cyber Security Issues, and Analytical Services”, V. Janev, V. Timcenko, S. Rakas, D. Jelic (Institute Mihajlo Pupin) Lecture 3, Monday, February 21, 2024, 14:00-16:00 CET, “Designing and Validating Cyber-Physical Energy Systems”, F. Pröstl Andrén, T. Strasser (AIT Austrian Institute of Technology) Lecture 4, Monday, February 22, 2024, 14:00-16:00 CET, “Cyber-Physical Tests Beds for Validation of Large-Scale Smart Grid Apps”, C. Gavriluta, D. Vettoretti (AIT Austrian Institute of Technology)

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    ZENODO
    InteractiveResource . 2024
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    InteractiveResource . 2024
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    Authors: Surugiu, Romina; Apostol, Nicoleta-Elena;

    Digital Transformation, Media and Social Inequalities Bucharest, Romania, 25-26 January 2024 Call for papers Recent technological developments and transformations in media and communication require a global reflection on their effects and outcomes on society, democracy and business. The platformisation process with its institutional dimensions: data infrastructures, markets and governance (Poell, Nieborg & van Dijck, 2019) led to new business models and relationships between social, market and political actors. Journalism as an institution has been under question for over a decade or even two (Deuze, 2020) as the news industry is declining. Journalism as a profession strives to retain or regain the people’s trust. With its recent advances artificial intelligence is seen as a threat or a chance for humanity. The AI’s impact on the media and communication sector is open for debate. Is it a threat or an asset for professional practice? At the same time, the hybridisation of communication professions – roughly defined as a mixture of journalistic and public relations and advertising&marketing practices in the digital context – adds new challenges in maintaining a fair and democratic public sphere and ensuring equal access to quality information. Our focus is to foster an open academic debate on broad themes related to the outcomes of digital transformation in contemporary media and communication. We encourage contributions that adhere to the critical sociology perspective.

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    ZENODO
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    WORKING VERSION. All layers will be visible in this linked webgis app along with estimated error. <== To Be Updated in new final version, not yet so. The layers available in this dataset are in a WGS84 geographic coordinate reference system (EPSG:4326) where latitude and longitude coordinates at 0.0008983 degrees ground sampling distance per cell, which corresponds to about 1 ha, i.e. ~100 m x ~100 m at the equator, but decreases in area with increasing latitude as the coordinate system is not equal-area, e.g. ~70 m west-est direction at 45° latitude and ~50 m west-est direction at 60° latitude. A_Aspect.tif, A_slope.tif and A__elevation.tif - Earth surface height above sea level and morphology. Prefix was added to group them in Zenodo. biomass.tif - Biomass values at year 2020, Mg/ha. canopyBulkDensity.tif - Amount of canopy biomass per volume of canopy (kg/m3) canopyBaseHeight.tif - Height of canopy start measured from the ground (m) canopyCover.tif - percent of canopy coverage - resampled and updated from the map of Hansen et al. 2005 canopyHeight.tif - Total height of canopy from the ground (m) - resampled from the map of Lang, N., et al. (2023) Fuel Model FuelModelClasses_ScottBurgan.tif - the category of Fuel Model according to Scott&Burgan 2005 FuelModelClasses_Aragonese.tif - the category of Fuel Model according to Aragonese et al. 2023 DOI: 10.5194/essd-15-1287-2023 - values are from 1 to 24, with a Look Up Table for correspondence (values are ordered matching the order in table 1 of the article) . FuelModelClasses_ScottBurgan.clr/qml CLR/QML - style file for QGIS FuelModelClasses_Aragonese.clr/qml CLR/QML - style file for QGIS FuelModelPercent.tif - the percent of fuel model category belonging to that pixel, values range between 50 and 100. Allows to spot pixels with expected mixed fuel categories.

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    ZENODO
    Dataset . 2024
    License: CC BY
    Data sources: ZENODO
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    ZENODO
    Dataset . 2024
    License: CC BY
    Data sources: ZENODO
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    ZENODO
    Dataset . 2023
    License: CC BY
    Data sources: ZENODO
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    ZENODO
    Dataset . 2024
    License: CC BY
    Data sources: ZENODO
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    ZENODO
    Dataset . 2024
    License: CC BY
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    ZENODO
    Dataset . 2024
    License: CC BY
    Data sources: ZENODO
    ZENODO
    Dataset . 2024
    License: CC BY
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    ZENODO
    Dataset . 2024
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      ZENODO
      Dataset . 2024
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      ZENODO
      Dataset . 2024
      License: CC BY
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      ZENODO
      Dataset . 2023
      License: CC BY
      Data sources: ZENODO
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      ZENODO
      Dataset . 2024
      License: CC BY
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      ZENODO
      Dataset . 2024
      License: CC BY
      Data sources: ZENODO
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      ZENODO
      Dataset . 2024
      License: CC BY
      Data sources: ZENODO
      ZENODO
      Dataset . 2024
      License: CC BY
      Data sources: Datacite
      ZENODO
      Dataset . 2024
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      Data sources: Datacite
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    Authors: nicolas, olatz; Larrinaga, Felix;

    This dataset contains the information used in the drOp project (Digitally enabled social district renovation processes for age-friendly environments driving social innovation and local economic development. Num.101080025) to build a multidimensional characterization of Ermua and the Santa Ana neighbourhood through relevant indicators, and its visualisation in a Geographic Information System (GIS) by analysing statistical data, as well as other urban and social data available

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    ZENODO
    Dataset . 2024
    License: CC BY
    Data sources: ZENODO
    ZENODO
    Dataset . 2024
    License: CC BY
    Data sources: Datacite
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      ZENODO
      Dataset . 2024
      License: CC BY
      Data sources: ZENODO
      ZENODO
      Dataset . 2024
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    Authors: Pfeifer, Catherine;

    Database created for identifying mixed agriculture landscape in the framework of workpackage 3, task 3.3 Mapping mixed landscapes in Europe using existing data (top-down approach) of the MIXED project (Multi-actor and transdisciplinary development of efficient and resilient MIXED farming and agroforestry-systems) This database is presented and used in deliverable 3.3 Identifying the potential for expansion of mixed farming in European regions. This data record contains the final database used for delivererable 3.3 (databaseD3.3.csv) a description of the data in the database (datadescription.xlsx) the shapfiles to create maps from the database (map.xxx) Note that the data description files mentions the source of the raw data. Please consult the deliverable to understand how the data was processed and how the map was created.

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    ZENODO
    Dataset . 2024
    License: CC BY
    Data sources: ZENODO
    ZENODO
    Dataset . 2024
    License: CC BY
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      ZENODO
      Dataset . 2024
      License: CC BY
      Data sources: ZENODO
      ZENODO
      Dataset . 2024
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    Authors: EFSA; Di Piazza, Giulio; Dujardin, Bruno; Levorato, Sara; +4 Authors

    Aiming at accelerating the implementation of cumulative risk assessment to pesticide residues, EFSA performed a two‐step prioritisation analysis, on individual pesticides and on target organ systems, that allows to identify (i) low‐priority substances expected to have a marginal contribution to cumulative risk, and (ii) high priority organ systems to be addressed in future cumulative risk assessments. The analysis encompassed 350 substances and 36 raw primary commodities of plant origin surveyed in the monitoring cycle 2019–2021, carried out in 30 population groups, covering 3 age classes, and 17 EU countries. Probabilistic exposure calculations, for chronic and acute effects, were executed on the occurrence and consumption data by a two‐dimensional procedure, modelling variability and uncertainty. The input data for the prioritsation of chronic and acute exposure risk assessment to pesticide residues and the output data produced are reported in the following annexes: Annex A.1 – Input data for the prioritisation of chronic cumulative risk assessment to pesticide residues;Annex A.2 – Input data for the prioritisation of acute cumulative risk assessment to pesticide residues;Annex B.1 – Output data from the chronic exposure assessment of pesticides that have an EU-agreed health-based guidance value;Annex B.2 – Output data from the chronic exposure assessment of pesticides that have a tentative health-based guidance value;Annex B.3 – Output data from the acute exposure assessment of pesticides that have an EU-agreed health-based guidance value;Annex B.4 – Output data from the acute exposure assessment of pesticides that have a tentative health-basedguidance value;Annex C.1 – Output data from the combined exposure assessment of pesticides that may have chronic effects on theinvestigated target organ systems;Annex C.2 – Output data from the combined exposure assessment of pesticides that may have acute effects on theinvestigated target organ systems Detailed information on methodology, results and conclusions are included in the full report 'Prioritisation of pesticides and target organ systems for dietary cumulative risk assessment based on the 2019–2021 monitoring cycle', DOI: 10.2903/j.efsa.2024.8554.  EU; xlsx; mese@efsa.europa.eu;

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    ZENODO
    Dataset . 2024
    License: CC BY
    Data sources: ZENODO
    ZENODO
    Dataset . 2024
    License: CC BY
    Data sources: Datacite
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      ZENODO
      Dataset . 2024
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      ZENODO
      Dataset . 2024
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    Authors: Mar, Ariza-Sentís; Kaiwen, Wang; Zhen, Cao; Sergio, Vélez; +1 Authors

    This dataset contains UAV RGB videos (MP4) recorded with a Phantom4 RTK in a vineyard during the harvesting campaign of 2023. It also includes frames and annotations (PNG) to boost Object Detection and Tracking of grape bunches. There are two types of videos: (1) videos capturing the side of the canopy from a frontal point of view only, and (2) videos that collect the data from multiple perspectives to avoid leaf occlusion, common in commercial vineyards. All flights were executed 3 meters above ground level, with a clear sky and wind speed below 0.5 m/s.

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    ZENODO
    Dataset . 2024
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    ZENODO
    Dataset . 2024
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      ZENODO
      Dataset . 2024
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      ZENODO
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    Authors: Nguyen, Hong Anh; MULLER, BERTRAND; Martre, Pierre;

    The dataset comprises estimates of six major parameters of the root system architecture model ArchiSimple for 14 bread wheat cultivars grown in several experiment experiments carried out two high-throughput root phenotyping platforms (4MPI at INRAE, UMR AgroEcologie and RootPheAir at UCL) with different growth media and non-destructive imaging systems together with a conventional set-up in the green house in the Montpellier Plant Phenotyping Platforms (M3P, INRAE, UMR LEPSE) with a solid growth medium. Data for the two to three replicate plants in each experiments are reported. The dataset also include daily weather data in each experiment. A detailed description of the plant growth conditions and Methods can be found in theassociated publication.

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    ZENODO
    Dataset . 2024
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    ZENODO
    Dataset . 2024
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      ZENODO
      Dataset . 2024
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    Authors: Lostrangio, Carla; García Lera, Miranda; Euromontana;

    Every year the world celebrates the International Mountain Day on 11 December. This international day was launched for the first time in 2003 and since then, it has become a symbolic date to acknowledge the uniqueness of mountains across the world. As years passed, the predominant vision about mountains as mere “fragile ecosystems” has been increasingly challenged. A new narrative that looks at mountains as territories of opportunity has emerged and is becoming more and more widely accepted. On this special day for mountains, we thus call on policy makers at all levels to acknowledge the contribution of rural, remote and mountain areas to Europe’s green and digital transition, and more particularly the role of communities, who need to see their role fully recognized in this new narrative. We also firmly believe that this transformation towards more sustainable, liveable and future-oriented mountain areas cannot be achieved without women. Women are a key pillar of mountain regions. They are backbone of the family, they often are entrepreneurs, they nurture relations within their own communities and with their younger relatives who have left mountain areas. Women are custodians of traditions and knowledge, but also fighters and drivers of change in the mountains. With this booklet, we thus want to welcome and celebrate this year’s International Mountain Day theme “Women move mountains”. Making a fresh, inclusive narrative for the future of mountains is a small but crucial first step. This publication is the result of a collaboration between the MOVING project, an international and multidisciplinary research project to strengthen the resilience of mountain products value chains, and Euromontana, the European Association of Mountain Areas. This booklet is a compilation of 13 testimonies from women who either live in mountain areas or work to make them more sustainable and futurefocused. Their testimonies unite the voices, narratives, and perspectives of women operating in several fields important to the future of mountains who hail from various mountain ranges in Europe. This booklet also demonstrates how important women's roles are in their communities. It also highlights that mountain women face with similar challenges, and above all, lack of adequate recognition. Lastly, this brochure also looks at the opportunities that women have in mountain areas. Mountains and the women who live in mountainous areas are in a period of transformation. We hope that this booklet will inspire you. Enjoy your reading!

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    License: CC BY
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      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ ZENODOarrow_drop_down
      image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
      ZENODO
      Other ORP type . 2024
      License: CC BY
      Data sources: ZENODO
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      This Research product is the result of merged Research products in OpenAIRE.

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