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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: Holmatov, Bunyod; Hoekstra, Arjen;

    Replacing fossil fuels in the transport sector by renewable energy will help combat climate change. However, lowering greenhouse gas emissions by switching to alternative fuels or electricity can come at the expense of land and water resources. To understand the scale of this possible tradeoff we compare and contrast carbon, land and water footprints per driven km in midsize cars utilizing conventional gasoline, biofuels, bioelectricity, solar electricity and solar-based hydrogen. Results show that solar-powered electric cars have the smallest environmental footprints per km, followed by solar-based hydrogen cars, and that biofuel-driven cars have the largest footprints. Data is collected from peer reviewed publications, government agencies and international organizations. This file should be navigated from top-down and from left to right.

    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 . 2020
    License: CC BY
    Data sources: Datacite
    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 . 2020
    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 . 2020
    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 . 2020
      License: CC BY
      Data sources: Datacite
      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 . 2020
      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 . 2020
      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: Mohlakoana, N;

    ‘Productive Uses of Energy and gender in the Street Food Sector’, is a title of our four year project which is part of the DFID funded ENERGIA Gender and Energy Research programme. This research focuses on male and female owned micro enterprises preparing and selling food in Rwanda, Senegal and South Africa. This sector provides livelihoods for many women and men in these countries and this project provides the gender and energy nexus analysis. One of the primary goals of this project is to influence energy policy making and implementation in the focus countries.

    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/ B2FINDarrow_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/
    B2FIND
    Dataset . 2018
    Data sources: B2FIND
    image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
    EASY
    Dataset . 2018
    Data sources: EASY
    EASY
    Dataset . 2018
    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/ B2FINDarrow_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/
      B2FIND
      Dataset . 2018
      Data sources: B2FIND
      image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
      EASY
      Dataset . 2018
      Data sources: EASY
      EASY
      Dataset . 2018
      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: Venkatraman Kartik; Andrea Bresciani; Baris Kale; Mohanad Elagamy; +1 Authors

    This repository contains some of the scripts and datasets used for the zEPHYR Complex terrain benchmark

    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 . 2023
    License: CC BY
    Data sources: Datacite
    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: Datacite
    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 . 2023
    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
      Dataset . 2023
      License: CC BY
      Data sources: Datacite
      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: Datacite
      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 . 2023
      License: CC BY
      Data sources: ZENODO
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  • Authors: Brandao, I.L.S.B. (Faculty of Geo Information Science and Earth Observation ITC, University of Twente);

    This dataset was used to investigate relationships between the hydrological cycle of an Amazonian reservoir and the water quality of its limnological zones.The dataset includes water quality parameters (nutrients, chl-a, sediments and water transparency (Secchi disk)) which were measured in different limnological zones (riverine, transitional and lacustrine) and years of the studied hydropower reservoir.

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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/

    Research software play important role in addressing real-world problems related to environment and society. They also become more complex with the availability of advanced computing methods and infrastructure, such as deep learning, big data analytics, and cloud computing. This is especially the case for the Earth Observation and Geo-information Science domains that need to deal with a wide variety of large spatio-temporal data. Moreover, best practices not only in software development but also community development are required to comply with Open Science and FAIR principles that are crucial for modern research. Research software development is essentially evolving into a team effort of professionals with different expertise and skills, including researchers, research software engineers, technology advisors, and community managers. As a world-renown education, research, and capacity development institution, the Faculty of Geo-Information Science and Earth Observation (ITC) has a long history and experience in research software development. Likewise, the Netherlands eScience Center builds and applies software in a collaborative manner to enhance the use of computing and digital technologies in academic research. The mini symposium aims to initiate a collaboration between ITC and the eScience Center on research software development by bringing the research and development communities of both institutions together to enable transfer of technical and practical know-how through presentations, open discussions, and networking activities. It will also help the eScience Center to better understand the specific needs of the Geo-Information and EO community. Based on the outcomes of the mini symposium, a series of hands-on training workshops on selected research software, as well as research software development best practices, will be co-organized to improve digital skills of ITC staff and students. This event is supported by the Netherlands eScience Center Fellowship Grant NSESC.ESCF.2022.013.

    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 literature type . 2022
    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
    Presentation . 2022
    License: CC BY
    Data sources: Datacite
    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
    Presentation . 2022
    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
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      ZENODO
      Other literature type . 2022
      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
      Presentation . 2022
      License: CC BY
      Data sources: Datacite
      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
      Presentation . 2022
      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/

    Renovation of existing buildings is known as an essential stage in reduction of the energy loss. Considerable part of renovation process depends on geometric reconstruction of building based on semantic parameters. Following many research projects which were focused on parameterizing the energy usage, various energy modelling methods were developed during the last decade. On the other hand, by developing accurate measuring tools such as laser scanners, the interests of having accurate 3D building models are rapidly growing. But the automation of 3D building generation from laser point cloud or detection of specific objects in that is still a challenge. The goal is designing a platform through which required geometric information can be efficiently produced to support energy simulation software. Developing a reliable procedure which extracts required information from measured data and delivers them to a standard energy modelling system is the main purpose of the project. SPOOL, Vol 2, No 1: energy innovation #2

    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/ https://dx.doi.org/1...arrow_drop_down
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    https://dx.doi.org/10.7480/spo...
    Article . 2015
    License: CC BY
    Data sources: Datacite
    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/
    https://dx.doi.org/10.7480/spo...
    Article . 2015
    License: CC BY
    Data sources: Datacite
    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/
    Spool
    Article . 2015
    Data sources: DOAJ
    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/
    Spool
    Article . 2015
    Data sources: DOAJ
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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/ https://dx.doi.org/1...arrow_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/
      https://dx.doi.org/10.7480/spo...
      Article . 2015
      License: CC BY
      Data sources: Datacite
      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/
      https://dx.doi.org/10.7480/spo...
      Article . 2015
      License: CC BY
      Data sources: Datacite
      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/
      Spool
      Article . 2015
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    The need for innovative and cost effective approaches for infrastructure maintenance has never been more crucial. In fact, this has been a popular topic in technical reports like the McGraw Hill Construction, the Dutch Cobouw construction magazine and the new multidisciplinary journal “Infrastructure Asset Management” by the Institution of Civil Engineers. The financial status of Industrial Parks (IP) and Business Parks (BP) in the Netherlands, as well as in the rest of the world, has been greatly influenced by the 2007-2008 financial crisis. As a consequence, several IPs and BPs have suffered from infrastructural deterioration that needs to be revitalized.Therefore, one of the priorities facing municipalities nowadays is stimulating companies to invest and redefine such areas with the goal of improving its economic output and optimize the expenditure on its maintenance costs. The different stakeholders involved in the life-cycle management of these parks make strategic decisions based on data that has been gathered over time by its users, either private or public. However, gathering data is becoming more and more complex with time. Infrastructures in these parks are increasingly demanding custom supply of services by the private industry to cope with their technical operations.As a consequence, the level of detail of the assets information is very high. Hence, the digital collaboration and interoperability has become almost mandatory for enabling proper management in construction areas. Interoperability can be described as the ability of making systems and organization work together. SPOOL, Vol 2, No 1: energy innovation #2

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  • Authors: Wandera, L. (Faculty of Geo-Information Science and Earth Observation (ITC), University of Twente);

    Half-hourly data for the period 2015 (March 5st-July22th), 2016 (March 5st- August 22nd)-Latent heat flux-Sensible Het Flux-Ground heat FLux-Air Temperature-Wind speedFriction velocity-Relative humidity-Incoming short wave radiation-Incoming longwave radiation-Outgoing shortwave radiation-Outgoing shortwave radiation-Net radiation-Soil moisture-Precipitation

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    Authors: Su, Han; Willaarts, Barbara; Luna Gonzalez, Diana; S. Krol, Maarten; +1 Authors

    There are over 608 million farms around the world but they are not the same. We developed high spatial resolution maps telling where small and large farms were located and which crops were planted for 56 countries. We checked the reliability and have the confidence to use them for the country-level and global studies. Our maps will help more studies to easily measure how agriculture policies, water availabilities, and climate change affect small and large farms respectively. The code, source data, and the simultaneously farm size- and crop-specific harvested area, including the GAEZ based downscaled map and SPAM based downscaled map, are open-access, free, and available, which could be found below. The downscaled maps are available in *.csv files for each crop and farming system. Each *.csv file provides the grid cell index, administrative unit index, crop name, farm size, harvested area, and x and y coordinates in the projection of WGS84. File name of maps *.csv: [spam/gaez]_[crop name]_[farming system] [spam/gaez]: SPAM-based or GAEZ based map [crop name]:crop name [farming system]: 'i':irrigation; 'r' rainfed; 'l' low-input rainfed; 'h' high-input rainfed; 's' rainfed in subsistence conditions Example: gaez_maize_i.csv, the farm-size specific harvested area of irrigated maize based on the crop map of GAEZv4. Variables included in maps *.csv: grid: the grid index shpid: the polygon id in Ricciardi's dataset spam_crop/gaez_crop: crop name defined in SPAM2010 or GAEZv4 classification system fs_class_min: lower bound of each farm size class, -1 means no farm size information is available in Ricciardi's dataset ha: harvested area (ha) x, y: the lat-lon coordinate in the projection WGS84 Note: please cite the original publications/sources if any data source based on which this dataset was developed is reused for your own study. SPAM2010: Yu, Q., You, L., Wood-Sichra, U., Ru, Y., Joglekar, A. K. B., Fritz, S., Xiong, W., Lu, M., Wu, W., and Yang, P.: A cultivated planet in 2010 – Part 2: The global gridded agricultural-production maps, Earth System Science Data, 12, 3545-3572, 10.5194/essd-12-3545-2020, 2020. GAEZ v4: FAO and IIASA: Global Agro Ecological Zones version 4 (GAEZ v4), FAO UN, Rome, Italy, 2021 Ricciardi's dataset: Ricciardi, V., Ramankutty, N., Mehrabi, Z., Jarvis, L., and Chookolingo, B.: How much of the world's food do smallholders produce?, Global Food Security, 17, 64-72, 2018. The global dominant field size dataset: Lesiv, M., Laso Bayas, J. C., See, L., Duerauer, M., Dahlia, D., Durando, N., Hazarika, R., Kumar Sahariah, P., Vakolyuk, M., Blyshchyk, V., Bilous, A., Perez-Hoyos, A., Gengler, S., Prestele, R., Bilous, S., Akhtar, I. U. H., Singha, K., Choudhury, S. B., Chetri, T., Malek, Z., Bungnamei, K., Saikia, A., Sahariah, D., Narzary, W., Danylo, O., Sturn, T., Karner, M., McCallum, I., Schepaschenko, D., Moltchanova, E., Fraisl, D., Moorthy, I., and Fritz, S.: Estimating the global distribution of field size using crowdsourcing, Glob Chang Biol, 25, 174-186, 10.1111/gcb.14492, 2019. GLC-Share: Latham, J., Cumani, R., Rosati, I., and Bloise, M.: Global land cover share (GLC-SHARE) database beta-release version 1.0-2014, FAO, Rome, Italy, 2014. CAAS-IFPRI cropland extent map: Lu, M., Wu, W., You, L., See, L., Fritz, S., Yu, Q., Wei, Y., Chen, D., Yang, P., and Xue, B.: A cultivated planet in 2010 – Part 1: The global synergy cropland map, Earth System Science Data, 12, 1913-1928, 10.5194/essd-12-1913-2020, 2020. {"references": ["Su, H., Willaarts, B., Luna-Gonzalez, D., Krol, M. S., and Hogeboom, R. J.: Gridded 5-arcmin, simultaneously farm-size- and crop-specific harvested area for 56 countries, Earth Syst. Sci. Data Discuss. [preprint], https://doi.org/10.5194/essd-2022-72, in review, 2022."]}

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    ZENODO
    Dataset . 2022
    License: CC BY
    Data sources: Datacite
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      ZENODO
      Dataset . 2022
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    Authors: Matthews, K.B.; Blackstock, K.L.; Waylen, K.A.; Juarez-Bourke, A.; +9 Authors

    This repository contains datasets used in the production of figures contained in MAGIC Deliverable 5.1 Matthews K.B. (Hutton), Blackstock K.L. (Hutton), Waylen K.A. (Hutton), Juarez-Bourke A. (Hutton) Miller D.G. (Hutton), Wardell-Johnson D.H. (Hutton), Rivington M. (Hutton), Hague A. (Hutton), Fisher D. (Hutton), Renner A. (UAB), Cadillo-Benalzacar J. (UAB), Schyns J. (UT), Giampietro M. (UAB) MAGIC (H2020-GA 689669) Project Deliverable 5.1 - July 2020 MAGIC Deliverable 5.1

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    ZENODO
    Dataset . 2020
    License: CC BY
    Data sources: Datacite
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    ZENODO
    Dataset . 2020
    License: CC BY
    Data sources: Datacite
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    ZENODO
    Dataset . 2020
    License: CC BY
    Data sources: ZENODO
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      ZENODO
      Dataset . 2020
      License: CC BY
      Data sources: Datacite
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      ZENODO
      Dataset . 2020
      License: CC BY
      Data sources: Datacite
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      ZENODO
      Dataset . 2020
      License: CC BY
      Data sources: ZENODO
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    Authors: Holmatov, Bunyod; Hoekstra, Arjen;

    Replacing fossil fuels in the transport sector by renewable energy will help combat climate change. However, lowering greenhouse gas emissions by switching to alternative fuels or electricity can come at the expense of land and water resources. To understand the scale of this possible tradeoff we compare and contrast carbon, land and water footprints per driven km in midsize cars utilizing conventional gasoline, biofuels, bioelectricity, solar electricity and solar-based hydrogen. Results show that solar-powered electric cars have the smallest environmental footprints per km, followed by solar-based hydrogen cars, and that biofuel-driven cars have the largest footprints. Data is collected from peer reviewed publications, government agencies and international organizations. This file should be navigated from top-down and from left to right.

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    ZENODO
    Dataset . 2020
    License: CC BY
    Data sources: Datacite
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    ZENODO
    Dataset . 2020
    License: CC BY
    Data sources: ZENODO
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    ZENODO
    Dataset . 2020
    License: CC BY
    Data sources: Datacite
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      ZENODO
      Dataset . 2020
      License: CC BY
      Data sources: Datacite
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      ZENODO
      Dataset . 2020
      License: CC BY
      Data sources: ZENODO
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      ZENODO
      Dataset . 2020
      License: CC BY
      Data sources: Datacite
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    Authors: Mohlakoana, N;

    ‘Productive Uses of Energy and gender in the Street Food Sector’, is a title of our four year project which is part of the DFID funded ENERGIA Gender and Energy Research programme. This research focuses on male and female owned micro enterprises preparing and selling food in Rwanda, Senegal and South Africa. This sector provides livelihoods for many women and men in these countries and this project provides the gender and energy nexus analysis. One of the primary goals of this project is to influence energy policy making and implementation in the focus countries.

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    B2FIND
    Dataset . 2018
    Data sources: B2FIND
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    EASY
    Dataset . 2018
    Data sources: EASY
    EASY
    Dataset . 2018
    Data sources: Datacite
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      B2FIND
      Dataset . 2018
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      EASY
      Dataset . 2018
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      EASY
      Dataset . 2018
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    Authors: Venkatraman Kartik; Andrea Bresciani; Baris Kale; Mohanad Elagamy; +1 Authors

    This repository contains some of the scripts and datasets used for the zEPHYR Complex terrain benchmark

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    ZENODO
    Dataset . 2023
    License: CC BY
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    ZENODO
    Dataset . 2023
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    ZENODO
    Dataset . 2023
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    ZENODO
    Dataset . 2023
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      Dataset . 2023
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      Dataset . 2023
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  • Authors: Brandao, I.L.S.B. (Faculty of Geo Information Science and Earth Observation ITC, University of Twente);

    This dataset was used to investigate relationships between the hydrological cycle of an Amazonian reservoir and the water quality of its limnological zones.The dataset includes water quality parameters (nutrients, chl-a, sediments and water transparency (Secchi disk)) which were measured in different limnological zones (riverine, transitional and lacustrine) and years of the studied hydropower reservoir.

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    Research software play important role in addressing real-world problems related to environment and society. They also become more complex with the availability of advanced computing methods and infrastructure, such as deep learning, big data analytics, and cloud computing. This is especially the case for the Earth Observation and Geo-information Science domains that need to deal with a wide variety of large spatio-temporal data. Moreover, best practices not only in software development but also community development are required to comply with Open Science and FAIR principles that are crucial for modern research. Research software development is essentially evolving into a team effort of professionals with different expertise and skills, including researchers, research software engineers, technology advisors, and community managers. As a world-renown education, research, and capacity development institution, the Faculty of Geo-Information Science and Earth Observation (ITC) has a long history and experience in research software development. Likewise, the Netherlands eScience Center builds and applies software in a collaborative manner to enhance the use of computing and digital technologies in academic research. The mini symposium aims to initiate a collaboration between ITC and the eScience Center on research software development by bringing the research and development communities of both institutions together to enable transfer of technical and practical know-how through presentations, open discussions, and networking activities. It will also help the eScience Center to better understand the specific needs of the Geo-Information and EO community. Based on the outcomes of the mini symposium, a series of hands-on training workshops on selected research software, as well as research software development best practices, will be co-organized to improve digital skills of ITC staff and students. This event is supported by the Netherlands eScience Center Fellowship Grant NSESC.ESCF.2022.013.

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    Renovation of existing buildings is known as an essential stage in reduction of the energy loss. Considerable part of renovation process depends on geometric reconstruction of building based on semantic parameters. Following many research projects which were focused on parameterizing the energy usage, various energy modelling methods were developed during the last decade. On the other hand, by developing accurate measuring tools such as laser scanners, the interests of having accurate 3D building models are rapidly growing. But the automation of 3D building generation from laser point cloud or detection of specific objects in that is still a challenge. The goal is designing a platform through which required geometric information can be efficiently produced to support energy simulation software. Developing a reliable procedure which extracts required information from measured data and delivers them to a standard energy modelling system is the main purpose of the project. SPOOL, Vol 2, No 1: energy innovation #2

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    Article . 2015
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    The need for innovative and cost effective approaches for infrastructure maintenance has never been more crucial. In fact, this has been a popular topic in technical reports like the McGraw Hill Construction, the Dutch Cobouw construction magazine and the new multidisciplinary journal “Infrastructure Asset Management” by the Institution of Civil Engineers. The financial status of Industrial Parks (IP) and Business Parks (BP) in the Netherlands, as well as in the rest of the world, has been greatly influenced by the 2007-2008 financial crisis. As a consequence, several IPs and BPs have suffered from infrastructural deterioration that needs to be revitalized.Therefore, one of the priorities facing municipalities nowadays is stimulating companies to invest and redefine such areas with the goal of improving its economic output and optimize the expenditure on its maintenance costs. The different stakeholders involved in the life-cycle management of these parks make strategic decisions based on data that has been gathered over time by its users, either private or public. However, gathering data is becoming more and more complex with time. Infrastructures in these parks are increasingly demanding custom supply of services by the private industry to cope with their technical operations.As a consequence, the level of detail of the assets information is very high. Hence, the digital collaboration and interoperability has become almost mandatory for enabling proper management in construction areas. Interoperability can be described as the ability of making systems and organization work together. SPOOL, Vol 2, No 1: energy innovation #2

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  • Authors: Wandera, L. (Faculty of Geo-Information Science and Earth Observation (ITC), University of Twente);

    Half-hourly data for the period 2015 (March 5st-July22th), 2016 (March 5st- August 22nd)-Latent heat flux-Sensible Het Flux-Ground heat FLux-Air Temperature-Wind speedFriction velocity-Relative humidity-Incoming short wave radiation-Incoming longwave radiation-Outgoing shortwave radiation-Outgoing shortwave radiation-Net radiation-Soil moisture-Precipitation

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    Authors: Su, Han; Willaarts, Barbara; Luna Gonzalez, Diana; S. Krol, Maarten; +1 Authors

    There are over 608 million farms around the world but they are not the same. We developed high spatial resolution maps telling where small and large farms were located and which crops were planted for 56 countries. We checked the reliability and have the confidence to use them for the country-level and global studies. Our maps will help more studies to easily measure how agriculture policies, water availabilities, and climate change affect small and large farms respectively. The code, source data, and the simultaneously farm size- and crop-specific harvested area, including the GAEZ based downscaled map and SPAM based downscaled map, are open-access, free, and available, which could be found below. The downscaled maps are available in *.csv files for each crop and farming system. Each *.csv file provides the grid cell index, administrative unit index, crop name, farm size, harvested area, and x and y coordinates in the projection of WGS84. File name of maps *.csv: [spam/gaez]_[crop name]_[farming system] [spam/gaez]: SPAM-based or GAEZ based map [crop name]:crop name [farming system]: 'i':irrigation; 'r' rainfed; 'l' low-input rainfed; 'h' high-input rainfed; 's' rainfed in subsistence conditions Example: gaez_maize_i.csv, the farm-size specific harvested area of irrigated maize based on the crop map of GAEZv4. Variables included in maps *.csv: grid: the grid index shpid: the polygon id in Ricciardi's dataset spam_crop/gaez_crop: crop name defined in SPAM2010 or GAEZv4 classification system fs_class_min: lower bound of each farm size class, -1 means no farm size information is available in Ricciardi's dataset ha: harvested area (ha) x, y: the lat-lon coordinate in the projection WGS84 Note: please cite the original publications/sources if any data source based on which this dataset was developed is reused for your own study. SPAM2010: Yu, Q., You, L., Wood-Sichra, U., Ru, Y., Joglekar, A. K. B., Fritz, S., Xiong, W., Lu, M., Wu, W., and Yang, P.: A cultivated planet in 2010 – Part 2: The global gridded agricultural-production maps, Earth System Science Data, 12, 3545-3572, 10.5194/essd-12-3545-2020, 2020. GAEZ v4: FAO and IIASA: Global Agro Ecological Zones version 4 (GAEZ v4), FAO UN, Rome, Italy, 2021 Ricciardi's dataset: Ricciardi, V., Ramankutty, N., Mehrabi, Z., Jarvis, L., and Chookolingo, B.: How much of the world's food do smallholders produce?, Global Food Security, 17, 64-72, 2018. The global dominant field size dataset: Lesiv, M., Laso Bayas, J. C., See, L., Duerauer, M., Dahlia, D., Durando, N., Hazarika, R., Kumar Sahariah, P., Vakolyuk, M., Blyshchyk, V., Bilous, A., Perez-Hoyos, A., Gengler, S., Prestele, R., Bilous, S., Akhtar, I. U. H., Singha, K., Choudhury, S. B., Chetri, T., Malek, Z., Bungnamei, K., Saikia, A., Sahariah, D., Narzary, W., Danylo, O., Sturn, T., Karner, M., McCallum, I., Schepaschenko, D., Moltchanova, E., Fraisl, D., Moorthy, I., and Fritz, S.: Estimating the global distribution of field size using crowdsourcing, Glob Chang Biol, 25, 174-186, 10.1111/gcb.14492, 2019. GLC-Share: Latham, J., Cumani, R., Rosati, I., and Bloise, M.: Global land cover share (GLC-SHARE) database beta-release version 1.0-2014, FAO, Rome, Italy, 2014. CAAS-IFPRI cropland extent map: Lu, M., Wu, W., You, L., See, L., Fritz, S., Yu, Q., Wei, Y., Chen, D., Yang, P., and Xue, B.: A cultivated planet in 2010 – Part 1: The global synergy cropland map, Earth System Science Data, 12, 1913-1928, 10.5194/essd-12-1913-2020, 2020. {"references": ["Su, H., Willaarts, B., Luna-Gonzalez, D., Krol, M. S., and Hogeboom, R. J.: Gridded 5-arcmin, simultaneously farm-size- and crop-specific harvested area for 56 countries, Earth Syst. Sci. Data Discuss. [preprint], https://doi.org/10.5194/essd-2022-72, in review, 2022."]}

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    ZENODO
    Dataset . 2022
    License: CC BY
    Data sources: Datacite
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      ZENODO
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    Authors: Matthews, K.B.; Blackstock, K.L.; Waylen, K.A.; Juarez-Bourke, A.; +9 Authors

    This repository contains datasets used in the production of figures contained in MAGIC Deliverable 5.1 Matthews K.B. (Hutton), Blackstock K.L. (Hutton), Waylen K.A. (Hutton), Juarez-Bourke A. (Hutton) Miller D.G. (Hutton), Wardell-Johnson D.H. (Hutton), Rivington M. (Hutton), Hague A. (Hutton), Fisher D. (Hutton), Renner A. (UAB), Cadillo-Benalzacar J. (UAB), Schyns J. (UT), Giampietro M. (UAB) MAGIC (H2020-GA 689669) Project Deliverable 5.1 - July 2020 MAGIC Deliverable 5.1

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    ZENODO
    Dataset . 2020
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    Data sources: Datacite
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    ZENODO
    Dataset . 2020
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    Data sources: Datacite
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    ZENODO
    Dataset . 2020
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    Data sources: ZENODO
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      ZENODO
      Dataset . 2020
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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 . 2020
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      Data sources: Datacite
      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 . 2020
      License: CC BY
      Data sources: ZENODO
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