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.

Description

This dataset contains projects and related organisations funded by the European Union under the Horizon 2020 framework programme for research and innovation from 2014 to 2020.

The file 'H2020 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).

In the individual XML files of the projects you'll find, in addition, their classification with the newly introduced EuroSciVoc taxonomy (fields of science) as well as links to related editorial articles such as news or Results in Brief.

The participating organisations are listed in the file 'H2020 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 periodic or final report summaries (or publishable summaries) from the projects have been included since September 2018.

The lists of publications and deliverables from the projects have been included since May 2019.

Reference data (programmes topics, 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

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

Acknowledgements

Official link: https://data.europa.eu/euodp/en/data/dataset/cordisH2020projects

Inspiration

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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)

Dataset about research projects funded under the programme Horizon 2020, from 2014 to 2020. Each row corresponds to the participation of a specific organisation in a specific research project.

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 presents all winning projects and participating entities in the EU research funding programme Horizon 2020 (2014-2020).

These data are broken down by entities (CNRS, Sorbonne U), by type of action (RIA, IA), by type of organisation (Research, Ens. sup), by country...

The indicators available are:

• the number of coordinations,
• the number of participants,
• subsidies in euros,
• the number of projects (single count of the project_id variable)

Other datasets on European calls for projects are available:****

• · Datasets listing all information related to winning projects since 2002

PCRI - Information on winning projects

• · Datasets on synthesis of EU funding for Horizon Europe

Horizon Europe - Summary of projects evaluated and awarded

• · Datasets on winning projects and participating entities from 2021

Horizon Europe - Winning projects and participations

• · Datasets on collaborations in Horizon Europe

Horizon Europe - Collaborations in winning projects (excluding ERC and Marie-Curie funding)

• · Project datasets Marie-Curie

PCRI - Marie Curie Actions - Summary of participation in Marie Curie projects since 2002

PCRI - Marie Curie Actions - Participations and winning projects

PCRI - Marie-Curie Actions - Evolution of projects evaluated and signed since 2002

Horizon Europe - Marie Curie Actions - Collaborations in evaluated and awarded projects

• · Project datasets ERC

PCRI - ERC - Summary of ERC participation since 2007

PCRI - ERC - Participations and winning projects

PCRI - ERC - Evolution of projects evaluated and signed since 2007

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

The metadata of interdisciplinary (IDR) and transdisciplinary (TDR) projects conducted under the European Union framework programs (FP7 & Horizon 2020) were collected from the Cordis database (https://cordis.europa.eu/). SHAPE-ID research team used periodic data dumps, stored in EU open data portal (https://data.europa.eu/euodp/en/data/dataset/cordisfp7projects and https://data.europa.eu/euodp/en/data/dataset/cordisH2020projects).

The data dump from May 2019 was used, so the FP7 database is complete while H2020 projects were still being added periodically.

CORDIS files were subsequently queried for interdisciplinar* or transdicsiplinar*, matched against title or abstract (“objective”). This procedure allowed for creating two subsets:

FP7_projects_May2019_IDR_TDR.csv 1750 FP7 projects. Out of 1699 IDR projects, interdisciplinar* featured in 40 titles and 1679 abstracts. Out of 56 TDR projects transdisciplinar* featured in 2 project titles and 54 abstracts.

1912 H2020 projects (as of May 2019). Out of 1837 IDR projects, interdisciplinar* featured in 57 titles and 1820 abstracts. Out of 85 TDR projects transdisciplinar* featured in 2 project titles and 85 abstracts.

Description of the files

CSV files contain the same fields as CORDIS database data dumps: id, acronym, status, programme, topics, framework Programme, title, startDate, endDate, projectUrl, objective, totalCost, ecMaxContribution, call, fundingScheme, coordinator, coordinatorCountry, participants, participantCountries, subjects.

Additional fields:

IDR - project features interdiciplinary research (1 = yes, 0 = no)

TDR - project features transdiciplinary research (1 = yes, 0 = no)

Title_Interdisciplinar* - frequency of “interdisciplinar*” in the project title

Objective_interdisciplinar*- frequency of “interdisciplinar*” in the project objective

Title_transdisciplinar* - frequency of “interdisciplinar*” in the project title

Obj_transdisiplinar* - frequency of “interdisciplinar*” in the project objective

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

Organisations participating for the first time in H2020 ICT calls, and which have not participated in FP7 ICT calls during 2007-2013 period. ### 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

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

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)

Results of Pilots from H2020 project Zerobrine, technical reports to be found on zerobrine.eu

This dataset includes detailed information about all European Union-funded research and innovation projects initiated between 1st January 2021 and 31st December 2024 in which the University of Jaén (UJA) is participating. The dataset includes projects referenced on CORDIS (Community Research and Development Information Service), mainly from Horizon 2020 and Horizon Europe, projects from the Erasmus+ programme, covering KA1 and KA2 projects, among others. Each entry includes publicly available information, such as project title and reference, description, dates, funding program, status, budget, number of participants, etc. It also indicates UJA’s role in each project and the corresponding EU funding program and action.

The data has been used in the project RURALIZATION which has been funded (grant agreement number 817642) by the European Union (EU) as part of the Horizon 2020 research and innovation programme. Outcomes of the RURALIZATION project reflect only the author’s view. The Agency and Commission are not responsible for any use that may be made of information.

This data sets includes a README.TXT and three data files:

1.T53DATA.csv
2.A2LPRACTICES.CSV
3. LANDNUTS3.csv

T53DATA.csv
This data is based on a survey among project members of RURALIZATION leading contributions in a task to ‘confront’ case studies of promising practices with other regions to consider potential for uptake. Practice abstracts of the case studies can be found at the EIP-AGRI website: https://ec.europa.eu/eip/agriculture/en/find-connect/projects/ruralization-opening-rural-areas-renew-rural. The case studies are in ‘D5.2 30 Case studies on rural newcomers, new entrants to farming and successors’ at https://ruralization.eu/deliverables/ and will become available at https://cordis.europa.eu/project/id/817642/results

A2LPRACTICES.CSV
This data is the inventory underlying the report ‘D6.1 – Typology of actions based on an analysis of current innovative actions and discussion with stakeholders’ which is currently available at at https://ruralization.eu/deliverables/ and will become available at https://cordis.europa.eu/project/id/817642/results

This inventory of 64 land practices, from training programmes for individual farmers, to attempts to influence national policy impacting land use and land transfers, have been gathered by partners in the RURALIZATION project consortium.
LandsNUTS3.csv: a collection of data to analyse rural land markets

Plant‑Soil Chemistry Dataset (Raja 2019 Field Campaign)

## 1. Overview

This repository contains the **final, cleaned chemistry data** that were produced from the 2019 Raja field campaign.
The data combine:

* Plant tissue concentrations (leaf, bark, needles, …) for a set of selected elements.
* Corresponding soil‑till depth, point location, lithology and basic tree information.
* Element‑specific relative‑standard‑deviation (RSD) uncertainties that were calculated from laboratory‑derived uncertainty parameters.

All files are provided in **CSV** format (UTF‑8, `,` separator) and/or the R programming language binary format RData.

*The exact set of tissue files depends on the species/plant‑parts that were sampled; the naming convention is `pl` + lower‑case abbreviation of the tissue (generated by `abbreviate(Plant, minlength = 2)` + `PlantPart`).*

---

## 2. Column description (common to all tables)

| Column | Meaning | Type |
|--------|---------|------|
| `PointID` | Unique identifier for the sampling point (e.g., `NEXT‑2019‑257`). | character |
| `X` / `Y` | Projected coordinates (Easting / Northing, EPSG 3067). | numeric |
| `Plant` | Species name (full). | character |
| `PlantPart` | Plant part sampled (`Leaf`, `Bark`, `Fruit`, …). | character |
| `Tissue` | Short code: `

### 2.1. Concentration vs. Uncertainty tables

* **`Plant_all_final.csv`** – contains **concentrations** (units as reported by the laboratory, typically mg kg⁻¹).
* **`Plant_uncensored_raw.RData`** – contains the very original, untreated data.
* **`*_uncertainty*.csv`** – the element columns have been **replaced by their relative standard deviation (RSD)**, i.e. a unit‑less proportion (`0.12` = 12 % RSD).

If you need both concentration **and** uncertainty for a given point, use the two files together (join on `PointID`).

---

## 3. Usage notes

* **Joining concentration & uncertainty** – the two CSVs 'plant' and 'plant_uncertainty' share the same column order and can be merged on `PointID`.
* **Missing values** – `NA` indicates either a non‑detected element or that no uncertainty parameter was available for that element.
* **Spatial reference** – coordinates are in **ETRS89 / Lantmäteriet 3006 (EPSG 3067)**, suitable for Swedish national mapping.
* **Element selection** – in the subdatasets not every element is present in every tissue file; only the elements that passed the QC selection criteria are kept.

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

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

This dataset provides an overview of EU-funded projects involving the University of Tours from 2021 to the present (mid 2025). The database lists projects active as of January 1, 2021 or later, which are either still ongoing or completed. It includes projects referenced on CORDIS (mainly Horizon 2020, Horizon Europe, and some EIT actions) and the Erasmus+ Project Results Platform (covering KA1, KA2, and Jean Monnet projects). It also identifies COST Actions. Each entry includes publicly available information: project title, description, dates, funding programme, call topic (if applicable), status, budget, and number of participants.

The overall objective of the i-DREAMS project is to setup a framework for the definition, development, testing and validation of a context-aware safety envelope for driving (‘Safety Tolerance Zone’), within a smart Driver, Vehicle & Environment Assessment and Monitoring System (i-DREAMS). Taking into account driver background factors and real-time risk indicators associated with the driving performance as well as the driver state and driving task complexity indicators, a continuous real-time assessment is made to monitor and determine if a driver is within acceptable boundaries of safe operation. Moreover, safety-oriented interventions were developed to inform or warn the driver real-time in an effective way as well as on an aggregated level after driving through an app- and web-based gamified coaching platform. The conceptual framework, which was tested in a simulator study and three stages of on-road trials in Belgium, Germany, Greece, Portugal and the United Kingdom on a total of 600 participants representing car, bus, and truck drivers, respectively. Specifically, the Safety Tolerance Zone (STZ) is subdivided into three phases, i.e. ‘Normal driving phase’, the ‘Danger phase’, and the ‘Avoidable accident phase’. For the real-time determination of this STZ, the monitoring module in the i-DREAMS platform continuously register and process data for all the variables related to the context and to the vehicle. Regarding the operator, however, continuous data registration and processing are limited to mental state and behavior. Finally, it is worth mentioning that data related to operator competence, personality, socio-demographic background, and health status, are collected via survey questionnaires. More information of the project can be seen from project website: https://idreamsproject.eu/wp/

This dataset contains naturalistic driving data of various trips of participants recruited in i-Dreams project. Various different types of events are recorded for different intensity levels such as headway, speed, acceleration, braking, cornering, fatigue and illegal overtaking. Running headway, speed, distance, wipers use, handheld phone use, high beam use and other data is also recorded. Driver characteristics are also available but not part of this sample data. In the i-Dreams project, raw data for a particular trip was collected via CardioID gateway, Mobileye, wristband or CardioWheel. These trip data are fused using a feature-based data fusion technique, namely geolocation through synchronization and support vector machines. The system provided by CardioID integrates several data streams, generated by the different sensors that make up the inputs of the i-Dreams system. The sample dataset is fused, processed as well as aggregated to produce consistent time series data of trips for a particular time interval such as 30 secs/ 60 secs or 2- minutes intervals. More datasets can be acquired for analysis purposes by following the data acquisition process given in the data description file.