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.

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

Collection of EU Research projects in soils during the last forty years (n = 1101 projects) funded by the successive European Commission Framework Programs (FP) for research and innovation (from FP1 to H2020)

In Horizon 2020 the Commission committed itself to running a flexible pilot on open research data (ORD Pilot). The ORD pilot aims to improve and maximise access to and re-use of research data generated by Horizon 2020 projects. It takes into account the need to balance openness and protection of scientific information, commercialisation and IPR, privacy concerns, security as well as data management and preservation questions. This ORD pilot comprises various selected areas of Horizon 2020 ('core areas' ). Projects not covered by the scope of the pilot can participate on an individual and voluntary project-by-project basis ('opt-in'). Projects may also decide not to participate in the pilot ('opt-out') at any stage of the project lifecycle. As of the Work Programme 2017 the ORD pilot scope is extended to cover all thematic areas of Horizon 2020 so as to make open research data the default, but retaining opt-out possibilities – however, this does not yet apply to the datasets analysed below. The ORD pilot applies primarily to the data needed to validate the results presented in scientific publications. Other data can also be provided by the beneficiaries on a voluntary basis, as stated in their Data Management Plans (DMP). Costs associated with data management, including the creation of a data management plan, can be claimed as eligible costs in any Horizon 2020 grant. It should be noted that the potential participation in the pilot is not part of the evaluation of proposals: in other words, proposals are not evaluated more favourably because they are part of the ORD pilot and are not penalised for opting out of the ORD pilot. The legal requirements for projects participating in this pilot are contained in article 29.3 of the Model Grant Agreement. This file does not contain research data generated by Horizon 2020 projects themselves. Rather it provides an overview of the take-up of the Commission's Open Research Data Pilot (ORD Pilot) It gives statistics by call about proposals: - Opting out of the Pilot on Open Access Research data in H2020 - Participating in the Pilot on Open Access Research data in H2020 on a voluntary bases (opt-in). This overview encompasses two finalised datasets obtained from CORDA: 2014-2015 and 2015-2016. Data obtained from CORDA. the following instruments are excluded: SME instrument, cofund, and prizes. ERC grants are also not included for the 2015-2016 sample. These datasets have been cleaned in order to reduce overlap and replace previous datasets. In this period, 68% of the funded projects in the core areas (CA) participate in the ORD. Correspondingly, the average opt-out rate in signed grant agreements is 32%. Outside the core areas, 9% of projects make use of the voluntary opt-in possibility.

This dataset is the combined research data of the MyWave project. It consists of of several data bundles. Each data bundle contains the research data of one ESR (combined, not per publication). Each data bundle also contains a dedicated readme.

Value of European Commission funding committed through grant agreements signed, during the reference year, with participants in ICT research projects under Horizon 2020 (LEIT ICT, Excellent Science, Societal Challenges 1, 6 and 7). Projects under negotiation are not included. ### Original source Common Research Data Warehouse: http://webcorda.rtd.cec.eu.int/index.cfm?page=index ### Parent dataset This dataset is part of of another dataset: http://digital-agenda-data.eu/datasets/digital_agenda_scoreboard_key_indicators

This database has collected data on EU funded research projects and their policy impacts as part of the Horizon Europe BioAgora project. The data collected in this spreadsheet has been analysed to write a report titled: 'D3.2 Knowledge synthesis report of existing and ongoing projects and initiatives'.

H2020 caLIBRAte - eNanoMapper database - aggregated data from H2020 caLIBRAte and other projects

Analysis of ‘Open Research Data (ORD) - the uptake in Horizon 2020’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from http://data.europa.eu/88u/dataset/open-research-data-the-uptake-of-the-pilot-in-the-first-calls-of-horizon-2020 on 10 January 2022.

--- Dataset description provided by original source is as follows ---

In Horizon 2020 the Commission committed itself to running a flexible pilot on open research data (ORD Pilot). The ORD pilot aims to improve and maximise access to and re-use of research data generated by Horizon 2020 projects. It takes into account the need to balance openness and protection of scientific information, commercialisation and IPR, privacy concerns, security as well as data management and preservation questions.

This ORD pilot comprises various selected areas of Horizon 2020 ('core areas' ). Projects not covered by the scope of the pilot can participate on an individual and voluntary project-by-project basis ('opt-in'). Projects may also decide not to participate in the pilot ('opt-out') at any stage of the project lifecycle.

As of the Work Programme 2017 the ORD pilot scope is extended to cover all thematic areas of Horizon 2020 so as to make open research data the default, but retaining opt-out possibilities – however, this does not yet apply to the datasets analysed below.

The ORD pilot applies primarily to the data needed to validate the results presented in scientific publications. Other data can also be provided by the beneficiaries on a voluntary basis, as stated in their Data Management Plans (DMP). Costs associated with data management, including the creation of a data management plan, can be claimed as eligible costs in any Horizon 2020 grant.

It should be noted that the potential participation in the pilot is not part of the evaluation of proposals: in other words, proposals are not evaluated more favourably because they are part of the ORD pilot and are not penalised for opting out of the ORD pilot.

The legal requirements for projects participating in this pilot are contained in article 29.3 of the Model Grant Agreement.

This file does not contain research data generated by Horizon 2020 projects themselves. Rather it provides an overview of the take-up of the Commission's Open Research Data Pilot (ORD Pilot) It gives statistics by call about proposals: - Opting out of the Pilot on Open Access Research data in H2020 - Participating in the Pilot on Open Access Research data in H2020 on a voluntary bases (opt-in).

This overview encompasses two finalised datasets obtained from CORDA: 2014-2015 and 2015-2016. Data obtained from CORDA. the following instruments are excluded: SME instrument, cofund, and prizes. ERC grants are also not included for the 2015-2016 sample. These datasets have been cleaned in order to reduce overlap and replace previous datasets. In this period, 68% of the funded projects in the core areas (CA) participate in the ORD. Correspondingly, the average opt-out rate in signed grant agreements is 32%. Outside the core areas, 9% of projects make use of the voluntary opt-in possibility.

--- Original source retains full ownership of the source dataset ---

Analysis of ‘Total EC funding to participants in H2020 ICT projects’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from http://data.europa.eu/88u/dataset/xn4qxz0bmutu8bpd6z2eew on 08 January 2022.

--- Dataset description provided by original source is as follows ---

Value of European Commission funding committed through grant agreements signed, during the reference year, with participants in ICT research projects under Horizon 2020 (LEIT ICT, Excellent Science, Societal Challenges 1, 6 and 7). Projects under negotiation are not included.

Original source

Common Research Data Warehouse:

http://webcorda.rtd.cec.eu.int/index.cfm?page=index

Parent dataset

This dataset is part of of another dataset:

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

--- Original source retains full ownership of the source dataset ---

The MEDIATIZED EU project aims to study how the media discourses are constructed to foster or hamper the European project and how they resonate among the public by focusing on the elite-media-public triangle. The research was conducted in seven target countries: Ireland, Belgium, Estonia, Spain, Portugal, Hungary and Georgia.

This dataset is part of the integration of the MEDIATIZED EU project research data into the EU’s Open Research Data Pilot. In accordance with the Data Management Plan, public opinion survey data were deemed suitable for being openly shared through ORDP to be accessible and of use to other academic researchers in Europe and worldwide. Quantitative data derived from surveys was deemed suitable, with the only concerns being the heterogeneous nature of some of the survey questions in each target country.

The aim of the population surveys was to investigate public opinion about the media and elites in their country and the EU and how they interpret elite and media discourses on Europeanisation and European integration. The merged database allows the project participants and other researchers to compare their national research results with phenomena in other participating countries.

This dataset contains a subset of integrated survey data including those survey questions where comparative data was available. The final deliverable contains this subsection of the survey data which has been weighted and cleaned, in .SAV and .XLS formats, and provides the requisite codebook for the dataset.

For more on the MEDIATIZED EU project, visit our website at mediatized.eu or view our CORDIS profile at: https://cordis.europa.eu/project/id/101004534

This project has received funding from the European Union’s Horizon 2020 Research and Innovation programme under grant agreement no 101004534. Views and opinions expressed are however those of the authors only and do not necessarily reflect those of the European Union or European Research Executive Agency. Neither the European Union nor the granting authority can be held responsible for them.

Data collected during the lab-in-the-field experiment under EU H2020 project VISIONARY

The BABEL Polish Database is a speech database that was produced by a research consortium funded by the European Union under the COPERNICUS programme (COPERNICUS Project 1304). The project began in March 1995 and was completed in December 1998. The objective was to create a database of languages of Central and Eastern Europe in parallel to the EUROM1 databases produced by the SAM Project (funded by the ESPRIT programme).

The BABEL consortium included six partners from Central and Eastern Europe (who had the major responsibility of planning and carrying out the recording and labelling) and six from Western Europe (whose role was mainly to advise and in some cases to act as host to BABEL researchers). The five databases collected within the project concern the Bulgarian, Estonian, Hungarian, Polish, and Romanian languages.

The Polish database consists of the basic "common" set which is: • The Many Talker Set: 30 males, 30 females; each to read 100 numbers, 3 connected passages and 5 “filler” sentences (or 4 passages if no fillers needed). • The Few Talker Set: 5 males, 5 females, normally selected from the above group: each to read 5 blocks of 100 numbers, 15 passages and 25 filler sentences ( or 20 passages if fillers not needed), and 5 lists of syllables. • The Very Few Talker Set: 1 male, 1 female, selected from many-talker set: 5 blocks of syllables, with and without carrier sentences.

Geodata of the EU Horizon 2020 project mySMARTLife. Geodata of the EU Horizon 2020 project mySMARTLife.

This dataset contains all projects funded by the European Union under the fourth framework programme for research and technological development (FP4) from 1994 to 1998.

The file 'FP4 Projects' contains the public grant information for each project, including the following information: Record Control Number (RCN), project ID (grant agreement number), project acronym, project status, funding programme, topic, project title, project start date, project end date, project objective, project total cost, EC max contribution (commitment), call ID, funding scheme (type of action), coordinator, coordinator country, participants (ordered in a semi-colon separated list), participant countries (ordered in a semi-colon separated list).

The participating organisations are listed in the file 'FP4 Organisations' which includes: project Record Control Number (RCN), project ID, project acronym, organisation role, organisation ID, organisation name, organisation short name, organisation type, participation ended (true/false), EC contribution, organisation country.

The dataset has been updated to match the structure of more recent datasets - some fields may not be populated.

Reference data (countries, funding schemes/types of action, subjects (SIC codes)) can be found in this dataset: https://data.europa.eu/euodp/en/data/dataset/cordisref-data

The European Copernicus Coastal Flood Awareness System (ECFAS) project aimed at contributing to the evolution of the Copernicus Emergency Management Service (https://emergency.copernicus.eu/) by demonstrating the technical and operational feasibility of a European Coastal Flood Awareness System. Specifically, ECFAS provides a much-needed solution to bolster coastal resilience to climate risk and reduce population and infrastructure exposure by monitoring and supporting disaster preparedness, two factors that are fundamental to damage prevention and recovery if a storm hits.

The ECFAS Proof-of-Concept development ran from January 2021 to December 2022. The ECFAS project was a collaboration between Scuola Universitaria Superiore IUSS di Pavia (Italy, ECFAS Coordinator), Mercator Ocean International (France), Planetek Hellas (Greece), Collecte Localisation Satellites (France), Consorzio Futuro in Ricerca (Italy), Universitat Politecnica de Valencia (Spain), University of the Aegean (Greece), and EurOcean (Portugal), and was funded by the European Commission H2020 Framework Programme within the call LC-SPACE-18-EO-2020 - Copernicus evolution: research activities in support of the evolution of the Copernicus services.

Reference literature:

Souto-Ceccon, P. E., Montes, J., Duo, E., Ciavola, P., Fernández-Montblanc, T., and Armaroli, C.: A European database of resources on coastal storm impacts, Earth Syst. Sci. Data, 17, 1041–1054, https://doi.org/10.5194/essd-17-1041-2025, 2025.

Description of the product

Deliverable 5.1 is a comprehensive inventory of extreme coastal events that produced flooding at different locations along the European coastline. It includes the collection and identification of events, locations and available information on the test cases.

The purpose of the ECFAS database is to provide a source of information on extreme coastal events and locations that experienced coastal flooding, considering both hazard and impact aspects. Thus, the database collects events, sites and available information to support further investigation on specific test cases. Test cases are defined here as specific sites where an extreme event that generated flooding and damage occurred. The time frame considered for the analysis is between 2010 and 2020 in order to use recent satellite imagery with good resolution and including, if possible, overlap with Sentinel missions.

The product includes three files: 1) an Excel file with the inventory; 2) an accompanying report that includes the guidelines to use the inventory, other relevant information on the method used to implement the inventory and the sources of information; 3) the test cases polygons in .geojson format.

This ECFAS Database is made available under the Open Database License: http://opendatacommons.org/licenses/odbl/1.0/. Any rights in individual contents of the database are licensed under the Open Database License: http://opendatacommons.org/licenses/dbcl/1.0/.

This Report is made available under the Creative Commons Attribution 4.0 International License.

Disclaimer:

ECFAS partners provide the data "as is" and "as available" without warranty of any kind. The ECFAS partners shall not be held liable resulting from the use of the information and data provided.

This project has received funding from the Horizon 2020 research and innovation programme under grant agreement No. 101004211

Database : Substances mapping and database documentation. Database used for mapping PM(T) substances, i.e., creating connections, associations, or representations between substances for analysis, classification, modeling, or data visualization. The results of the mapping are presented within deliverable 5.1 of the Horizon 2020 funded project PROMISCES. Deliverable 5.1 is available here Preventing Recalcitrant Organic Mobile Industrial chemicalS for Circular Economy in the Soil-sediment-water system | PROMISCES | Project | Results | H2020 | CORDIS | European Commission (europa.eu)

Horizon 2020 and Horizon Europe are key EU initiatives fostering collaborative research and innovation across Europe. The data about Horizon programmes can be explored via the CORDIS Data Lab at https://cordis.europa.eu/datalab/ and can be accessed trough https://data.europa.eu/data/datasets/cordish2020projects for Horizon 2020 and https://data.europa.eu/data/datasets/cordis-eu-research-projects-under-horizon-europe-2021-2027
for Horizon Europe..

The Horizon projects network dataset is a collection of case studies created with the Horizon intelligence software [DOI: 10.5281/zenodo.11276687]. Its purpose is to provide an additional method for analyzing the impact of Horizon projects, specifically in terms of collaborations among European organizations, leveraging network analysis and community detection techniques. The dataset has been enriched with NUTS3 geolocation data and name tags for Italian organizations and is segmented by year, covering the period from 2015 to 2029.

The dataset includes 3 case studies, each focused on a specific topic, selected using the EuroSciVoc taxonomy: hydrogen energy, electron microscopy, and pandemics. For each case study, the dataset includes:

• A set of CSV files:

  • O.csv: Contains organisation unique identifier and attributes.
  • P.csv: Contains project unique identifier and attributes.
  • W.csv: Describes the participation of each organization in a project for each specific year. The participation is weighted according to the "total cost" of the project, shared proportionally based on the project's duration within that year.

• An additional CSV file, activity_type.csv, which provides a description of the codes used to define the activity types associated with each organization.

• A set of network files representing the collaboration between organizations in any given year (from 2015 to 2029), in interoperable format .graphML. These yearly graphs include centrality measures (degree, strength, coreness) and community labels. More details on .graphMLformat are provided in format-info.txt file.

The file sample-networks-hydrogen-energy showcases a visual representation of the networks for the first case study.

This dataset contains all projects funded by the European Union under the third framework programme for research and technological development (FP3) from 1990 to 1994.

The file 'FP3 Projects' contains the public grant information for each project, including the following information: Record Control Number (RCN), project ID (grant agreement number), project acronym, project status, funding programme, topic, project title, project start date, project end date, project objective, project total cost, EC max contribution (commitment), call ID, funding scheme (type of action), coordinator, coordinator country, participants (ordered in a semi-colon separated list), participant countries (ordered in a semi-colon separated list).

The participating organisations are listed in the file 'FP3 Organisations' which includes: project Record Control Number (RCN), project ID, project acronym, organisation role, organisation ID, organisation name, organisation short name, organisation type, participation ended (true/false), EC contribution, organisation country.

The dataset has been updated to match the structure of more recent datasets - some fields may not be populated.

Reference data (countries, funding schemes/types of action, subjects (SIC codes)) can be found in this dataset: https://data.europa.eu/euodp/en/data/dataset/cordisref-data

This database includes information on conservation projects implemented under the EU LIFE Programme. Data was extracted from the EU LIFE Programme online database (https://webgate.ec.europa.eu/life/publicWebsite/search/advanced, European Commission, EU LIFE programme) in July 2022 and includes all projects published online on that date.

This database is a copy of the data available in the EU LIFE Programme online database at the time of data extraction. The European Climate, Infrastructure and Environment Executive Agency has not verified this work and is not responsible for this work or any possible mistakes that might occur in this data.