15 datasets found
  1. CORDIS - EU research projects under Horizon 2020 (2014-2020)

    • data.europa.eu
    csv, excel xlsx, html +2
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    Publications Office of the European Union, CORDIS - EU research projects under Horizon 2020 (2014-2020) [Dataset]. https://data.europa.eu/data/datasets/cordish2020projects?locale=en
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    csv, excel xlsx, xml, json, htmlAvailable download formats
    Dataset provided by
    Publications Office of the European Unionhttp://op.europa.eu/
    European Union-
    Authors
    Publications Office of the European Union
    License

    http://data.europa.eu/eli/dec/2011/833/ojhttp://data.europa.eu/eli/dec/2011/833/oj

    Description

    This dataset contains information about projects and their results funded by the European Union under the Horizon 2020 framework programme for research and innovation from 2014 to 2020.

    The dataset is composed of six (6) different sub-set (in different formats):

    • H2020 projects – which includes participating organisations, legal basis information, topic information, project URLs and classification with the European Science Vocabulary (EuroSciVoc)
    • H2020 project IPRs (Intellectual Property Rights) [N.B.: This dataset only includes patent data for awarded patents available in the database of the European Patent Office (EPO)]
    • H2020 project deliverables (meta-data and links to deliverables included since May 2019)
    • H2020 project publications (meta-data and links to publications included since May 2019)
    • H2020 report summaries (periodic or final publishable summaries included since September 2018)
    • Principal Investigators in Horizon 2020 ERC projects

    Reference data (programmes, topics, topic keywords funding schemes (types of action), organisation types and countries) can be found in this dataset: https://data.europa.eu/euodp/en/data/dataset/cordisref-data

    EuroSciVoc is available here: https://data.europa.eu/data/datasets/euroscivoc-the-european-science-vocabulary

    CORDIS datasets are produced monthly. Therefore, inconsistencies may occur between what is presented on the CORDIS live website and the datasets.

  2. CORDIS - EU research projects data from the EURIO Knowledge Graph (in the...

    • data.europa.eu
    json-ld, rdf +3
    Updated Dec 13, 2022
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    Publications Office of the European Union (2022). CORDIS - EU research projects data from the EURIO Knowledge Graph (in the form of a database dump and named graphs) [Dataset]. https://data.europa.eu/data/datasets/named-graphs-from-eurio-knowledge-graph?locale=en
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    rdf, rdf n-quads, rdf turtle, rdf n-triples, json-ldAvailable download formats
    Dataset updated
    Dec 13, 2022
    Dataset provided by
    Publications Office of the European Unionhttp://op.europa.eu/
    European Union-
    Authors
    Publications Office of the European Union
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    The EURIO (EUropean Research Information Ontology) Knowledge Graph is the knowledge graph containing CORDIS data about research projects funded by the H2020 and FP7 framework programmes. The EURIO Knowledge Graph can be accessed via its SPARQL endpoint at this link: https://cordis.europa.eu/datalab/sparql-endpoint/en. This dataset provides both a database dump of the EURIO Knowledge Graph and subsets of the EURIO Knowledge Graph in the form of named graphs.

    The schema defining the structure of the named graphs is the EURIO ontology, available at https://op.europa.eu/en/web/eu-vocabularies/eurio. All files are available in the following formats: RDF, TTL, N-Quads, JSONLD, and N-Triples. For other formats (xlsx,csv etc ;…), please refer to these links: https://data.europa.eu/data/datasets/cordish2020projects and https://data.europa.eu/data/datasets/cordisfp7projects

    The file EURIO Knowledge Graph contains a database dump of all CORDIS data about research projects funded under the H2020 and FP7 framework programmes. The file Project contains all projects funded under the H2020 and FP7 framework programmes. The file Organisation contains all organisations funded under the H2020 and FP7 framework programmes.

    Reference data (countries, funding schemes/types of action, etc....) can be found in this dataset https://data.europa.eu/euodp/en/data/dataset/cordisref-data, while the EuroSciVoc taxonomy can be freely downloaded or browsed on the EuVocabularies website at this link: https://op.europa.eu/en/web/eu-vocabularies/dataset/-/resource?uri=http://publications.europa.eu/resource/dataset/euroscivoc

  3. Reference Windfarm database PDk 90

    • zenodo.org
    • explore.openaire.eu
    bin, text/x-python
    Updated Feb 29, 2020
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    Ishaan Sood; Ishaan Sood; Johan Meyers; Johan Meyers (2020). Reference Windfarm database PDk 90 [Dataset]. http://doi.org/10.5281/zenodo.3688716
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    bin, text/x-pythonAvailable download formats
    Dataset updated
    Feb 29, 2020
    Dataset provided by
    Zenodohttp://zenodo.org/
    Authors
    Ishaan Sood; Ishaan Sood; Johan Meyers; Johan Meyers
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Dataset for TotalControl reference windfarm database simulation of a pressure-driven high Reynolds number boundary layer flow with 90 degree inflow wind direction angle (Casename PDk 90)

    Included Python files for loading and visualizing the data. Use the plot_*.py files.

    Further information, including description of the case and dataset can be found in the deliverable report at:

    https://cordis.europa.eu/project/id/727680/results

    "Database for reference wind farms part 2: windfarm simulations"

  4. Reference Windfarm database PDk 30

    • zenodo.org
    bin, text/x-python
    Updated Feb 29, 2020
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    Ishaan Sood; Ishaan Sood; Johan Meyers; Johan Meyers (2020). Reference Windfarm database PDk 30 [Dataset]. http://doi.org/10.5281/zenodo.3688636
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    bin, text/x-pythonAvailable download formats
    Dataset updated
    Feb 29, 2020
    Dataset provided by
    Zenodohttp://zenodo.org/
    Authors
    Ishaan Sood; Ishaan Sood; Johan Meyers; Johan Meyers
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Dataset for TotalControl reference windfarm database simulation of a pressure-driven high Reynolds number boundary layer flow with 30 degree inflow wind direction angle (Casename PDk 30)

    Included Python files for loading and visualizing the data. Use the plot_*.py files.

    Further information, including description of the case and dataset can be found in the deliverable report at:

    https://cordis.europa.eu/project/id/727680/results

    "Database for reference wind farms part 2: windfarm simulations"

  5. Reference Windfarm database CNk8 0

    • zenodo.org
    • explore.openaire.eu
    bin, text/x-python
    Updated Feb 29, 2020
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    Ishaan Sood; Ishaan Sood; Johan Meyers; Johan Meyers (2020). Reference Windfarm database CNk8 0 [Dataset]. http://doi.org/10.5281/zenodo.3689314
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    text/x-python, binAvailable download formats
    Dataset updated
    Feb 29, 2020
    Dataset provided by
    Zenodohttp://zenodo.org/
    Authors
    Ishaan Sood; Ishaan Sood; Johan Meyers; Johan Meyers
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Dataset for TotalControl reference windfarm database simulation of a conventionally neutral boundary layer flow with 0 degree inflow wind direction angle (Casename CNk8 0)

    Included Python files for loading and visualizing the data. Use the plot_*.py files.

    Further information, including description of the case and dataset can be found in the deliverable report at:

    https://cordis.europa.eu/project/id/727680/results

    "Database for reference wind farms part 2: windfarm simulations"

  6. Z

    Inventory of the sustainability methodologies, indicators and criteria of...

    • data.niaid.nih.gov
    Updated Jul 22, 2024
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    Luana Ladu (2024). Inventory of the sustainability methodologies, indicators and criteria of research projects funded by the European Union [Dataset]. https://data.niaid.nih.gov/resources?id=zenodo_3766456
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    Dataset updated
    Jul 22, 2024
    Dataset provided by
    Luana Ladu
    Simone Wurster
    David Moosmann
    Stefan Majer
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    European Union, Europe
    Description

    Based on a screening in the CORDIS database and the experience of project partners, 16 projects were selected for analyses of their contributions regarding sustainability criteria and indicators.

  7. Z

    Data from: North Sea Wave Database (NSWD) 1989-1997

    • data.niaid.nih.gov
    Updated May 4, 2020
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    George Lavidas (2020). North Sea Wave Database (NSWD) 1989-1997 [Dataset]. https://data.niaid.nih.gov/resources?id=zenodo_3772618
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    Dataset updated
    May 4, 2020
    Dataset authored and provided by
    George Lavidas
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    North Sea
    Description

    North Sea Wave Database (NSWD) The dataset contains each year of spectral metocean condition for Significant Wave Height (HSIGN) and wave energy period (TMM10), in meters and seconds. Each variable has a year timestap which the data corresponds too i.e 1980. The latitudes and longitudes of the dataset have resolution of 0.025 degrees at each direction. Latitude starting coordinate is 50 degrees and Longitude 0.

    For more information on the process that developed the dataset, the methodogies followed, calibration, valdiation and sensitivity analysis, see:

    Lavidas, G., & Polinder, H. (2019). North Sea Wave Database (NSWD) and the Need for Reliable Resource Data: A 38 Year Database for Metocean and Wave Energy Assessments. Atmosphere, 10(9), https://doi.org/10.3390/atmos10090551

    Lavidas, G., & Polinder, H. (2019). Wind effects in the parametrisation of physical characteristics for a nearshore wave model. Proceedings of the 13th European Wave and Tidal Energy Conference 1-6 September 2019, Naples, Italy.

    The dataset was produced by Dr George Lavidas during the WAVe Resource for Electrical Production (WAVREP, which received funding from the European Union's Horizon 2020 research & innovation programme under the Marie Sklodowska-Curie grant agreement No 787344.

    The dataset is accompanied by two publication that (i) present the calibration-validation and production (ii) analysis of the dataset.

    The official CORDIS website is https://cordis.europa.eu/project/id/787344 A list of outcomes for the NSWD and the WAVREP project is found at the researcher's page: https://www.researchgate.net/project/WAVe-Resource-for-Electrical-Production-WAVREP

    It can also be found at the official CORDIS website https://cordis.europa.eu/project/id/787344

    Sharing and Access information Creative Commons Attribution (CC BY-SA). The Creative Commons Attribution license allows others remix, tweak, and build upon your work, as long as they credit you and license their new creations under the identical terms.

  8. Reference Windfarm database CNk4 30

    • zenodo.org
    bin, text/x-python
    Updated Feb 29, 2020
    + more versions
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    Ishaan Sood; Ishaan Sood; Johan Meyers; Johan Meyers (2020). Reference Windfarm database CNk4 30 [Dataset]. http://doi.org/10.5281/zenodo.3689689
    Explore at:
    bin, text/x-pythonAvailable download formats
    Dataset updated
    Feb 29, 2020
    Dataset provided by
    Zenodohttp://zenodo.org/
    Authors
    Ishaan Sood; Ishaan Sood; Johan Meyers; Johan Meyers
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Dataset for TotalControl reference windfarm database simulation of a conventionally neutral boundary layer flow with 30 degree inflow wind direction angle (Casename CNk4 30)

    Included Python files for loading and visualizing the data. Use the plot_*.py files.

    Further information, including description of the case and dataset can be found in the deliverable report at:

    https://cordis.europa.eu/project/id/727680/results

    "Database for reference wind farms part 2: windfarm simulations"

  9. Reference Windfarm database PDkhi 0

    • zenodo.org
    bin, text/x-python
    Updated Feb 29, 2020
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    Ishaan Sood; Ishaan Sood; Johan Meyers; Johan Meyers (2020). Reference Windfarm database PDkhi 0 [Dataset]. http://doi.org/10.5281/zenodo.3688695
    Explore at:
    bin, text/x-pythonAvailable download formats
    Dataset updated
    Feb 29, 2020
    Dataset provided by
    Zenodohttp://zenodo.org/
    Authors
    Ishaan Sood; Ishaan Sood; Johan Meyers; Johan Meyers
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Dataset for TotalControl reference windfarm database simulation of a pressure-driven high Reynolds number boundary layer flow with 0 degree inflow wind direction angle (Casename PDkhi 0)

    Included Python files for loading and visualizing the data. Use the plot_*.py files.

    Further information, including description of the case and dataset can be found in the deliverable report at:

    https://cordis.europa.eu/project/id/727680/results

    "Database for reference wind farms part 2: windfarm simulations"

  10. Reference Windfarm database CNk2 60

    • zenodo.org
    bin, text/x-python
    Updated Feb 29, 2020
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    Ishaan Sood; Ishaan Sood; Johan Meyers; Johan Meyers (2020). Reference Windfarm database CNk2 60 [Dataset]. http://doi.org/10.5281/zenodo.3689305
    Explore at:
    bin, text/x-pythonAvailable download formats
    Dataset updated
    Feb 29, 2020
    Dataset provided by
    Zenodohttp://zenodo.org/
    Authors
    Ishaan Sood; Ishaan Sood; Johan Meyers; Johan Meyers
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Dataset for TotalControl reference windfarm database simulation of a conventionally neutral boundary layer flow with 60 degree inflow wind direction angle (Casename CNk2 60)

    Included Python files for loading and visualizing the data. Use the plot_*.py files.

    Further information, including description of the case and dataset can be found in the deliverable report at:

    https://cordis.europa.eu/project/id/727680/results

    "Database for reference wind farms part 2: windfarm simulations"

  11. StrainInfo SI-ID 409149

    • straininfo.dsmz.de
    json
    Updated Feb 25, 2025
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    StrainInfo (2025). StrainInfo SI-ID 409149 [Dataset]. http://doi.org/10.60712/SI-ID409149.2
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    jsonAvailable download formats
    Dataset updated
    Feb 25, 2025
    Dataset provided by
    Leibniz Institute DSMZhttps://www.dsmz.de/
    StrainInfo
    Authors
    StrainInfo
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    StrainInfo dataset 409149 about a strain of Spodiobacter cordis. StrainInfo is a service developed to provide a resolution of microbial strain identifiers by storing culture collection numbers, their relations, and deposit-associated data. This work is part of the Strain-ID use case of the NFDI4Microbiota consortium.

  12. Database for EagleEye

    • zenodo.org
    bin, csv
    Updated Jan 8, 2025
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    Gordon Zyla; Gordon Zyla (2025). Database for EagleEye [Dataset]. http://doi.org/10.5281/zenodo.14615241
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    csv, binAvailable download formats
    Dataset updated
    Jan 8, 2025
    Dataset provided by
    Zenodohttp://zenodo.org/
    Authors
    Gordon Zyla; Gordon Zyla
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    This database was compiled during the EagleEye project (https://cordis.europa.eu/project/id/101059253), which focused on developing a novel 3D printer for high-resolution, large-area printing using digital light projection and two-photon polymerization. It contains essential printing parameters and their relationships to other key factors, such as wavelengths, laser specifications, and photosensitive materials. The data is stored in .csv and .sql formats, making it suitable for both basic and advanced tasks.

  13. CORDIS – EU-Forschungsprojekte im Rahmen von HORIZON EUROPE (2021-2027)

    • data.europa.eu
    csv, excel xlsx, html +3
    + more versions
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    Publications Office of the European Union, CORDIS – EU-Forschungsprojekte im Rahmen von HORIZON EUROPE (2021-2027) [Dataset]. https://data.europa.eu/data/datasets/cordis-eu-research-projects-under-horizon-europe-2021-2027?locale=de
    Explore at:
    csv, json, xml, excel xlsx, html, xml schemaAvailable download formats
    Authors
    Publications Office of the European Union
    License

    http://data.europa.eu/eli/dec/2011/833/ojhttp://data.europa.eu/eli/dec/2011/833/oj

    Area covered
    Europa
    Description

    Dieser Datensatz enthält Informationen über Projekte und deren Ergebnisse, die von der Europäischen Union im Rahmen des Rahmenprogramms für Forschung und Innovation „Horizont Europa“ von 2021 bis 2027 finanziert werden.

    Der Datensatz besteht aus sechs (6) verschiedenen Teilmengen (in verschiedenen Formaten):

    — Horizontprojekte – einschließlich teilnehmender Organisationen, Informationen über Rechtsgrundlagen, Themeninformationen, Projekt-URLs und Klassifizierung mit dem European Science Vocabulary (EuroSciVoc) — Ergebnisse des Horizontprojekts (Metadaten und Verknüpfungen zu den zu erbringenden Leistungen) — Horizontprojektpublikationen (Metadaten und Links zu Veröffentlichungen) — Zusammenfassungen des Horizontberichts (periodische oder endgültige Veröffentlichungszusammenfassungen) — Principal Investigators in Horizon Europe ERC-Projekten – NICHT VERFÜGBAR

    Referenzdaten (Programme, Themen, Themenschwerpunkte Förderprogramme (Aktionsarten), Organisationstypen und Länder) finden Sie in diesem Datensatz: https://data.europa.eu/euodp/en/data/dataset/cordisref-data

    EuroSciVoc ist hier verfügbar: https://data.europa.eu/data/datasets/euroscivoc-the-european-science-vocabulary

    CORDIS-Datensätze werden monatlich erstellt. Daher können Unstimmigkeiten zwischen dem, was auf der CORDIS Live-Website präsentiert wird, und den Datensätzen auftreten.

  14. e

    Effektiver Kofinanzierungssatz des RP7

    • data.europa.eu
    csv, rdf n-triples +2
    Updated Jun 24, 2025
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    Directorate-General for Communications Networks, Content and Technology (2025). Effektiver Kofinanzierungssatz des RP7 [Dataset]. https://data.europa.eu/data/datasets/tibeyrusfysa9lptylr1q?locale=de
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    csv, rdf n-triples, rdf xml, unknownAvailable download formats
    Dataset updated
    Jun 24, 2025
    Dataset provided by
    Generaldirektion Kommunikationsnetze, Inhalte und Technologien
    Authors
    Directorate-General for Communications Networks, Content and Technology
    License

    http://data.europa.eu/eli/dec/2011/833/ojhttp://data.europa.eu/eli/dec/2011/833/oj

    Description

    Der Kofinanzierungssatz entspricht dem Prozentsatz der Gesamtkosten der Projekte, die durch EG-Finanzierungszuschüsse gedeckt werden. Die Zahlen umfassen alle Partner und Dritte (als Subunternehmer).

    Ursprüngliche Quelle

    EG-Datenbank zu IKT-Forschungsprojekten im Rahmen des Siebten Rahmenprogramms der EU (RP7) – Kooperations- und Kapazitätenprogramme (e-Infrastrukturen). Projekte im Rahmen des CIP ICT PSP sind nicht berücksichtigt. Weitere Informationen zu den Programmen unter http://cordis.europa.eu/fp7/ict/home_en.html:

    https://ec.europa.eu/digital-agenda/en/news/ict-research-projects-under-eus-seventh-framework-programme-fp7

    Übergeordneter Datensatz

    Dieser Datensatz ist Teil eines anderen Datensatzes:

    http://digital-agenda-data.eu/datasets/digital_agenda_scoreboard_key_indicators

  15. Database corresponding to the SUBLime Project Deliverable D2.3 "Database on...

    • zenodo.org
    bin
    Updated May 30, 2025
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    Monika Pułtorak; Monika Pułtorak; Miguel Azenha; Miguel Azenha; Paulo Lourenco; Paulo Lourenco; João Pereira; João Pereira (2025). Database corresponding to the SUBLime Project Deliverable D2.3 "Database on practises and materials on fresh/early age properties, together with guidelines" [Dataset]. http://doi.org/10.5281/zenodo.15550152
    Explore at:
    binAvailable download formats
    Dataset updated
    May 30, 2025
    Dataset provided by
    Zenodohttp://zenodo.org/
    Authors
    Monika Pułtorak; Monika Pułtorak; Miguel Azenha; Miguel Azenha; Paulo Lourenco; Paulo Lourenco; João Pereira; João Pereira
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    This is a database file in SQL format to accompany the Deliverable D2.3 of the SUBLime project. The corresponding deliverable is to be found in the CORDIS platform for results of SUBLime Project.

    D2.3 is named: "Database on practises and materials on fresh/early age properties, together with guidelines"

  16. Not seeing a result you expected?
    Learn how you can add new datasets to our index.

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Publications Office of the European Union, CORDIS - EU research projects under Horizon 2020 (2014-2020) [Dataset]. https://data.europa.eu/data/datasets/cordish2020projects?locale=en
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CORDIS - EU research projects under Horizon 2020 (2014-2020)

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26 scholarly articles cite this dataset (View in Google Scholar)
csv, excel xlsx, xml, json, htmlAvailable download formats
Dataset provided by
Publications Office of the European Unionhttp://op.europa.eu/
European Union-
Authors
Publications Office of the European Union
License

http://data.europa.eu/eli/dec/2011/833/ojhttp://data.europa.eu/eli/dec/2011/833/oj

Description

This dataset contains information about projects and their results funded by the European Union under the Horizon 2020 framework programme for research and innovation from 2014 to 2020.

The dataset is composed of six (6) different sub-set (in different formats):

  • H2020 projects – which includes participating organisations, legal basis information, topic information, project URLs and classification with the European Science Vocabulary (EuroSciVoc)
  • H2020 project IPRs (Intellectual Property Rights) [N.B.: This dataset only includes patent data for awarded patents available in the database of the European Patent Office (EPO)]
  • H2020 project deliverables (meta-data and links to deliverables included since May 2019)
  • H2020 project publications (meta-data and links to publications included since May 2019)
  • H2020 report summaries (periodic or final publishable summaries included since September 2018)
  • Principal Investigators in Horizon 2020 ERC projects

Reference data (programmes, topics, topic keywords funding schemes (types of action), organisation types and countries) can be found in this dataset: https://data.europa.eu/euodp/en/data/dataset/cordisref-data

EuroSciVoc is available here: https://data.europa.eu/data/datasets/euroscivoc-the-european-science-vocabulary

CORDIS datasets are produced monthly. Therefore, inconsistencies may occur between what is presented on the CORDIS live website and the datasets.

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