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

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.

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)

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.

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'.

collection of sites with both biological and abiotic information - biological data covers all quality elements (macroinvertebrates, macrophytes, diatoms, other benthic algae, fish, and phytoplancton) - abiotic data comprises hydromorphological info (Gew�sserstrukturkartierung), physico-chemical info, and information about landcovering in catchment area primary aim was to aquire complete site information (complete set of environmental data and data from all organism groups), but finally the datasets turned out to be quite fregmentary More information on this dataset can be found in the Freshwater Metadatabase - BF_W_76-R-CAl (http://www.freshwatermetadata.eu/metadb/bf_mdb_view.php?entryID=BF_W_76-R-CAl).

Examples of concrete projects funded by the EU all over the world. The data include project name, location, coordinators and partners, and timeframe. The database also lists the EU budget contribution with the description of the results accomplished and the European Commission’s priorities to which the projects are linked.

Disclaimer: The data contained in this database was collected from different sources. As such, small discrepancies are possible.

In the border regions to the Netherlands, the so-called Interreg-A program "Germany-Nederland" promotes cross-border projects by institutions, universities, SMEs and public institutions so that the competitiveness and sustainable economy in the border area remains. In the overview of the projects you will find a tabular overview of all projects and project partners in accordance with Regulation (EU) No. 1303/2013, Art. 115.

The EFI+ database was constructed within the EU-project "Improvement and Spatial extension of the European Fish Index (EFI+)". It has been designed to gain new knowledge and to further develop and improve new biological assessment methods to meet the needs of the Water Framework Directive (WFD). The database covers 15 European countries and contains 14 221 sites. More information on this dataset can be found in the Freshwater Metadatabase - BF15 (www.freshwatermetadata.eu/metadb/bf_mdb_view.php?entryID=BF15).

Description of the EU FAR Database: EU Funds absorbed by Romanian Municipalities 2016-2021.

The Aurora project was originally set up to establish a world wide standard for the feature extraction software which forms the core of the front-end of a DSR (Distributed Speech Recognition) system. ETSI formally adopted this activity as work items 007 and 008.The two work items within ETSI are:- ETSI DES/STQ WI007: Distributed Speech Recognition - Front-End Feature Extraction Algorithm & Compression Algorithm- ETSI DES/STQ WI008: Distributed Speech Recognition - Advanced Feature Extraction Algorithm. This database is a subset of the SpeechDat-Car database in German language which has been collected as part of the European Union funded SpeechDat-Car project. It contains isolated and connected German digits spoken in the following noise and driving conditions inside a car:1. High speed good road2. Low speed rough road3. Stopped with motor running4. Town traffic

Intelligent Energy – Europe (IEE) offers a helping hand to organisations willing to improve energy sustainability. Launched in 2003 by the European Commission, the programme is part of a broad push to create an energy-intelligent future for us all. It supports EU energy efficiency and renewable energy policies, with a view to reaching the EU 2020 targets (20% cut in greenhouse gas emissions, 20% improvement in energy efficiency and 20% of renewables in EU energy consumption).

The programme is a pillar of the EU's Competitiveness and Innovation Framework Programme (CIP).

More than 600 projects across Europe have been co-funded by programme since 2003. These projects cover fields as diverse as education and electrical appliances, yet all contribute to building a greener and more secure energy future for the EU. You can find the list of beneficiaries and projects funded by the programme.

A map of ongoing or recently closed EU projects related to micro- and nanoplasticsThis dataset is part of a Virtual Mobility Grant by the PRIORITY Cost Action (2023-09/2023-10). The dataset includes information on ongoing and closed research projects on MNP funded by EU research programms. Data assessment was based on EU CORDIS database and a survey within PRIORITY Cost Action participants. (c) by Dr. Collin J. Weber (Technical University Darmstadt) collin.weber@tu-darmstadt.de Dataset includes:full_dataset_mapping_EU_MNP.csv ### database on ongoing and closed EU funded MNP projects on the insitutional level with geolocations (full data)webmap_dataset_mapping_EU_MNP.csv ### database on ongoing and closed EU funded MNP projects on the insitutional level with geolocations (reduced data)webmap_dataset_mapping_EU_MNP.shp ### database on ongoing and closed EU funded MNP projects on the insitutional level with geolocations (reduced data)interactive_web_map_data.zip ### file containing relevant data for interactive web mapmetadata.csv ### Explanation of data columns for all .csv and .shp datasets

EU KLEMS Growth and Productivity Accounts: March 2008 Release All series derived from this database need to be referred to as follows: Source: EU KLEMS Database, March 2008, see Marcel Timmer, Mary O'Mahony & Bart van Ark, The EU KLEMS Growth and Productivity Accounts: An Overview, University of Groningen & University of Birmingham; downloadable at www.euklems.net Documentation on the sources and methods have been published with the March 2007 Release of the EU KLEMS dataset: Methodology of the March 2007 Release Sources of the March 2007 Release More information on additional EU KLEMS releases can be found on the website of the Groningen Growth and Development Centre (GGDC). The original website of the EU KLEMS project, on which these data were first released, has been archived, but is still available through the Internet Archive. Consortium members EU KLEMS Project: University of Groningen, Groningen Growth and Development Centre (GGDC, Groningen) National Institute of Economic and Social Research (NIESR, London) Centre d'études prospectives et d'informations internationales (CEPII, Paris) Centre for Economic and Business Research (CEBR, Copenhagen) Netherlands Bureau for Economic Policy Analysis (CPB, The Hague) Deutsches Institut für Wirtschaftsforschung (DIW, Berlin) Federaal Planbureau (FPB, Brussels) Information on the Istituto di Studi e Analisi Economica (ISAE, Roma) Instituto Valenciano de Investigationes Económicas (IVIE, Valencia) Helsinki School of Economics (HSE, Helsinki) Österreichisches Institut für Wirtschaftsforschung (WIFO, Vienna) Wiener Institut für Internationale Wirtschaftsvergleiche AMsterdam Institute for Business and Economic Research, Free University Amsterdam (AMBER) The Conference Board Europe (TCB, Brussels) Fachhochschule Konstanz (FK, Konstanz) University of Birmingham (UNI-BHAM, Birmingham) Pellervo Economic Research Institute (PTT, Helsinki) This project was funded by the European Commission, Research Directorate General as part of the 6th Framework Programme, Priority 8, "Policy Support and Anticipating Scientific and Technological Needs". More about this project.

SMART GROUND aims at improving the availability and accessibility of data and information on SRM (Secondary Raw Materials) in the EU territory, while creating collaborations and synergies among the different stakeholders involved in the SRM value chain. In order to do so, the consortium will carry out a set of activities to integrate all the data from existing sources and new information retrieved with time progress, in a single EU database. Such database will also enable the exchange of contacts and information among the relevant stakeholders (e.g. companies), which are interested in providing or obtaining SRM. (SMART data collection and inteGRation platform to enchance availability and accessibility of data and infOmation in the EU territorty on secoNDary raw materials)

Website: http://www.smart-ground.eu/

EU KLEMS Growth and Productivity Accounts: October 2012 Releaes, data in the ISIC Rev. 4 industry classification All series derived from this database need to be referred to as follows: O’Mahony, Mary and Marcel P. Timmer (2009), “Output, Input and Productivity Measures at the Industry Level: the EU KLEMS Database”, Economic Journal, 119(538), pp. F374-F403 For more details and analysis, see: Timmer, Inklaar , O'Mahony and van Ark, Economic Growth in Europe, Cambridge University Press, 2010 Introduction The 2012 EU KLEMS release follows up from the previous release in 2009 which showed detailed growth accounts up to 2007. This new release is similar in concepts and methodologies to calculate the various growth and productivity variables as its predecessors, but it also has a number of new features; It provides updates and data for additional years and revisions of longer time-series in case national statistical institutes (NSIs) provided these. For labour composition use has been made of the micro-data underlying the European Labour Force Survey (LFS) for recent years. New investment data has been provided by the EU KLEMS consortium partners. Most importantly, a new industrial classification is used based on the new international ISIC Revision 4 industry classification, which is consistent with the European NACE 2 industry classification. The National Accounts (NA) data in the new classification is typically provided for shorter time series than were previously available in the ISIC Rev. 3 (NACE 1) classification. We back-cast time series of output and labour data using growth rates from the earlier data in the ISIC Rev. 3 classification. These imputations are denoted in grey in the new release. Sources and methods The EU KLEMS updates in the new ISIC Rev. 4 industry classification are being done on a country by country basis. Sources and methods documentation is available separately for each country. The following institutes have partnered with us to construct these data, additional information can be found on their respective websites: STATSWE (Sweden) STATFI (Finland) FPB (Belgium) JIP (Japan) BEA/BLS (United States) CBS (Netherlands) NIESR (United Kingdom) DIW (Germany) ISTAT (Italy) WIFO (Austria) CEPII (France) IVIE (Spain) More information on additional EU KLEMS releases can be found on the website of the Groningen Growth and Development Centre (GGDC). The original website of the EU KLEMS project, on which these data were first released, has been archived, but is still available through the Internet Archive. This update of the EU KLEMS database is part of the INDICSER project. This project is funded by the European Commission, Research Directorate General as part of the 7th Framework Programme, Theme 8: Socio-Economic Sciences and Humanities. Grant Agreement no: 244 709 Any errors or omissions in this update of the EU KLEMS database are entirely the responsibility of the GGDC (Groningen Growth and Development Centre).

The Aurora project was originally set up to establish a world wide standard for the feature extraction software which forms the core of the front-end of a DSR (Distributed Speech Recognition) system. ETSI formally adopted this activity as work items 007 and 008.The two work items within ETSI are :- ETSI DES/STQ WI007 : Distributed Speech Recognition - Front-End Feature Extraction Algorithm & Compression Algorithm- ETSI DES/STQ WI008 : Distributed Speech Recognition - Advanced Feature Extraction Algorithm.This database is a subset of the Italian SpeechDat-Car database which has been collected as part of the European Union funded SpeechDat-Car project. It contains contains 2200 Italian connected digit utterances divided into training and testing utterances in the following noise and driving conditions inside a car : 1. High speed good road 2. Low speed rough road 3. Stopped with motor running 4. Town traffic

Database resulting from a stocktacke on the knowlege about the impacts of sustainable soil management practices, carried out in the scope of EJPSOIL task 2.4.1. Twenty five research teams from 23 European countries responded to a survey with the available knowledge about sustainable soil management poractices, impacts, environemnetal zone and references. The original survey is also made available. This dataset is the result of that stocktake. More details about methods can be acessed in the report "Synthesis of the impact of sustainable soil management practices in Europe" (DOI: 10.5281/zenodo.10091483).

Data (2011) associated to the publication "A quantitative review of the effects of biochar application to soils on crop productivity using meta-analysis. Agriculture, Ecosystems and Environment. Volume 144, Issue 1, November 2011, Pages 175-187"

We have collected the available data from literature and from other more restricted databases. We try to incorporate newly published chronometric dates collected from all kind of available publications. See list of journals inspected in downloadable file "inspected-journals.xls". The database, version 24 (first version was available in2002), contains now 12888 site forms, (most of them with their geographical coordinates), comprising 15500 radiometric data: Conv. 14C and AMS 14C (12024 items), TL (997 items), OSL (461 items), ESR, Th/U and AAR (2015 items) from the European (Russian Siberia included) Lower, Middle and Upper Palaeolithic. All 14C dates are conventional dates BP. 141 new sites are incorporated and 322 sites have a corrected or an updated content. For citation, please use: Vermeersch, P.M., 2018. Radiocarbon Palaeolithic Europe Database, Version 24. Available at: http://ees.kuleuven.be/geography/projects/14c-palaeolithic/index.html. The database uses Microsoft Access ©. After downloading, you can use the database with a procedure as described below. For those who have no access to Microsoft Access software, there is also an excel–file (Palaeolithic Europe Database v24 Oct 2018 extract.xls), with restricted content but with all dates. It can be directly downloaded from http://ees.kuleuven.be/geography/projects/14c-palaeolithic/index.html. The excel file is also available via academia.edu and researchgate.net (https://www.researchgate.net/project/Radiocarbon-Palaeolithic-Europe-Database)