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  • ZENODO
  • Assessing the socio-economic impact...

  • 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: Botyanszka, Lenka; Zivcak, Marek; Chovancek, Erik; Sytar, Oksana; +4 Authors

    Raw data related to Figures 1 to 3 of the publication Botyanszka et al. (2020) Chlorophyll fluorescence kinetics may be useful to identify early drought and irrigation effects on photosynthetic apparatus in field-grown wheat. Agronomy 10, 1275. https://doi.org/10.3390/agronomy10091275

    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 . 2021
    License: CC BY
    Data sources: Sygma; Datacite
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    ZENODO
    Dataset . 2021
    License: CC BY
    Data sources: ZENODO; Sygma
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      ZENODO
      Dataset . 2021
      License: CC BY
      Data sources: Sygma; Datacite
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      ZENODO
      Dataset . 2021
      License: CC BY
      Data sources: ZENODO; Sygma
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    Parcel soil scan with electric conductivity measurement from Netherlands

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    ZENODO
    Dataset . 2018
    License: CC BY SA
    Data sources: Datacite
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    ZENODO
    Dataset . 2018
    License: CC BY SA
    Data sources: Sygma; ZENODO
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      ZENODO
      Dataset . 2018
      License: CC BY SA
      Data sources: Datacite
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      ZENODO
      Dataset . 2018
      License: CC BY SA
      Data sources: Sygma; ZENODO
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    Parcel soil scan with electric conductivity measurement from Netherlands

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    ZENODO
    Dataset . 2018
    License: CC BY SA
    Data sources: Datacite
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    ZENODO
    Dataset . 2018
    License: CC BY SA
    Data sources: ZENODO
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      ZENODO
      Dataset . 2018
      License: CC BY SA
      Data sources: Datacite
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      ZENODO
      Dataset . 2018
      License: CC BY SA
      Data sources: ZENODO
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    Authors: Conradt, Tobias; Members Of The ISIMIP Project (Original Data Provision), Cf. Hempel Et Al. 2013, Https://Doi.Org/10.5194/Esd-4-219-2013;

    ISIMIP-2a climate data cutout provided for Sardinia in the framework of SIM4NEXUS

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    ZENODO
    Dataset . 2018
    License: CC BY SA
    Data sources: ZENODO; Sygma
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    ZENODO
    Dataset . 2018
    License: CC BY SA
    Data sources: Datacite
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    ZENODO
    Dataset . 2018
    License: CC BY SA
    Data sources: Datacite
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    ZENODO
    Dataset . 2018
    License: CC BY SA
    Data sources: Sygma; ZENODO
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      ZENODO
      Dataset . 2018
      License: CC BY SA
      Data sources: ZENODO; Sygma
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      ZENODO
      Dataset . 2018
      License: CC BY SA
      Data sources: Datacite
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      ZENODO
      Dataset . 2018
      License: CC BY SA
      Data sources: Datacite
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      ZENODO
      Dataset . 2018
      License: CC BY SA
      Data sources: Sygma; ZENODO
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    Authors: Laurencelle, Marc; Surdyk, Nicolas; Glavan, Matjaž; Hansen, Birgitte; +3 Authors

    A database has been developed and delivered during the FAIRWAY project. This database was developed as a response to the need to harmonize datasets and assessment methods related to pressure and state indicators for water quality in the EU member states, in order to compare and assess indicators using a harmonized approach. The dataset that is made available here provides two files: a public version* of the Excel database, which contains all "tabular" (non-GIS) data related to the 13 case studies that was gathered for the purposes of FAIRWAY's Monitoring & Indicators research theme. It is structured as one "data sheet" and one "summary sheet" per case study. The data sheets contain various parameters (ideally time-dependent data series i.e. time series) that were used, wherever possible, to compute relevant Agri-drinking water quality indicators (ADWIs) such as "nitrogen budget" (a compound Pressure indicator) or "lag time" (a statistically-inferred Link indicator). a ZIP folder containing all GIS data gathered for the FAIRWAY's Monitoring & Indicators research theme. The GIS files are grouped in subfolders, by case study, and then by keywords describing the nature of the spatial data. The Excel database contains near 385,000 rows of data from the 13 case study sites, with more than 65 parameters and more than 500 sub-parameters. The dataset also contains spatial information in a GIS-data zipped folder. The spatial mapping information can be made visible using basic QGIS project files (.qgz), so that GIS data from each case study can be explored. The indicators database can be used in several ways. It may be used to explore data or to calculate additional indicators. Depending of the case studies��� interests, the most commonly available State indicators are about nitrate and pesticides concentrations in water. From a practical point of view based on its actual content, the database may notably be used to explore statistical relations (or Links) between related Pressure and State indicators. This database can also be used as a spatial mapping portal for other usages. For more information on the database, follow this link. * Note that this is a public version of the database, which means that all confidential data was removed from the data sheets. This is the PUBLIC version of the database, where all confidential data has been removed from the Excel-file data sheets.

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    ZENODO
    Dataset . 2022
    License: CC BY
    Data sources: Datacite
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    ZENODO
    Dataset . 2022
    License: CC BY
    Data sources: Sygma; ZENODO
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      ZENODO
      Dataset . 2022
      License: CC BY
      Data sources: Datacite
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      ZENODO
      Dataset . 2022
      License: CC BY
      Data sources: Sygma; ZENODO
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    Authors: Tsanis, Ioannis; Seiradakis, Konstantinos; Sarchani, Sofia; Panagea, Ioanna S; +2 Authors

    Underlying data of soil measurements and analysis by TUC team for the publication ���The Impact of Soil-Improving Cropping Practices on Erosion Rates: A Stakeholder-Oriented Field Experiment Assessment��� https://doi.org/10.3390/land10090964 from the SoilCare project study sites in Crete. Abstract: The risk of erosion is particularly high in Mediterranean areas, especially in areas that are subject to a not so effective agricultural management���or with some omissions���, land abandonment or wildfires. Soils on Crete are under imminent threat of desertification, characterized by loss of vegetation, water erosion, and subsequently, loss of soil. Several large-scale studies have estimated average soil erosion on the island between 6 and 8 Mg/ha/year, but more localized investigations assess soil losses one order of magnitude higher. An experiment initiated in 2017, under the framework of the SoilCare H2020 EU project, aimed to evaluate the effect of different management practices on the soil erosion. The experiment was set up in control versus treatment experimental design including different sets of treatments, targeting the most important cultivations on Crete (olive orchards, vineyards, fruit orchards). The minimum-to-no tillage practice was adopted as an erosion mitigation practice for the olive orchard study site, while for the vineyard site, the cover crop practice was used. For the fruit orchard field, the crop-type change procedure (orange to avocado) was used. The experiment demonstrated that soil-improving cropping techniques have an important impact on soil erosion, and as a result, on soil water conservation that is of primary importance, especially for the Mediterranean dry regions. The demonstration of the findings is of practical use to most stakeholders, especially those that live and work with the local land.

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    ZENODO
    Dataset . 2021
    License: CC BY
    Data sources: Datacite
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    ZENODO
    Dataset . 2021
    License: CC BY
    Data sources: ZENODO; Sygma
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      ZENODO
      Dataset . 2021
      License: CC BY
      Data sources: Datacite
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      ZENODO
      Dataset . 2021
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    Authors: Sundermann, Esther M.; Nauta, Maarten; Swart, Arno;

    CampylobacterDRM.fskx

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    ZENODO
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      ZENODO
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    Authors: Fricko, Oliver; Frank, Stefan; Gidden, Matthew; Huppmann, Daniel; +22 Authors

    This dataset contains the parameterization of a no-policy baseline scenario of the global 11-regional MESSAGEix-GLOBIOM integrated assessment model. Regions, time periods, commodities, technologies and relations included in this model are described in a separate repository. The dataset relies on the MESSAGEix modeling framework (Huppmann et al. 2019) and can be imported into MESSAGEix via the read_excel() functionality, for which a tutorial is available, or via snapshot.load() as described here. After the import the scenario can be solved and modified to create new scenarios. Note that the published scenario as included in the ENGAGE global scenarios dataset has been run with a release candidate of version 3.4.0 of MESSAGEix. Removed superfluous/unallowed white spaces in unit names. This allows reporting workflows to function with newly created databases. 

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    ZENODO
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    ZENODO
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  • Authors: Blanco Mulero, David; Barbany, Oriol; Alcan, Gokhan; Colomé, Adrià; +2 Authors

    This dataset is supplemental to the paper "Benchmarking the Sim-to-Real Gap in Cloth Manipulation". D. Blanco-Mulero, O. Barbany, G. Alcan, A. Colomé, C. Torras and V. Kyrki, "Benchmarking the Sim-to-Real Gap in Cloth Manipulation," in IEEE Robotics and Automation Letters, vol. 9, no. 3, pp. 2981-2988, March 2024, doi: 10.1109/LRA.2024.3360814

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    The workshop has been realised in the framework of the H2020-MSCA-RISE-2018 project “LoGov - Local Government and the Changing Urban-Rural Interplay” as part of the implementation phase of the project. The workshops have been conducted with experts in the field of public administration, public law and political science, both researchers and practitioners, with the aim of widening the scope of the Country Report on Germany. To receive more information about the project, please visit: https://www.logov-rise.eu/. This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 823961.

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    ZENODO
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    Authors: Botyanszka, Lenka; Zivcak, Marek; Chovancek, Erik; Sytar, Oksana; +4 Authors

    Raw data related to Figures 1 to 3 of the publication Botyanszka et al. (2020) Chlorophyll fluorescence kinetics may be useful to identify early drought and irrigation effects on photosynthetic apparatus in field-grown wheat. Agronomy 10, 1275. https://doi.org/10.3390/agronomy10091275

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    ZENODO
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    Parcel soil scan with electric conductivity measurement from Netherlands

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    ZENODO
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    ZENODO
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    Parcel soil scan with electric conductivity measurement from Netherlands

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    Dataset . 2018
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    Authors: Conradt, Tobias; Members Of The ISIMIP Project (Original Data Provision), Cf. Hempel Et Al. 2013, Https://Doi.Org/10.5194/Esd-4-219-2013;

    ISIMIP-2a climate data cutout provided for Sardinia in the framework of SIM4NEXUS

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    Dataset . 2018
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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 . 2018
      License: CC BY SA
      Data sources: ZENODO; Sygma
      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 . 2018
      License: CC BY SA
      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 . 2018
      License: CC BY SA
      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 . 2018
      License: CC BY SA
      Data sources: Sygma; 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: Laurencelle, Marc; Surdyk, Nicolas; Glavan, Matjaž; Hansen, Birgitte; +3 Authors