We collected data on almost the complete population of the merger control decisions by the Directorate-General Competition’s (DG COMP) of the European Commission. We started the data collection with the first year of common European merger control, 1990, and included all years up to 2014. This amounts to 25 years of data on European merger control. With regard to the scope of the decisions, we collected data in all cases where a legal decision document exists. This includes all cases settled in the first phase of an investigation (Art. 6(1)(a), 6(1)(b), 6(1)(c) and 6(2)) and all cases decided in the second phase of an investigation (Art. 8(1), 8(2), and 8(3)). Note that this also includes all cases settled under a ‘simplified procedure’, provided that a legal decision document exists. Furthermore, we also intended to collect data on cases that were either referred back to member states by DG COMP or aborted by the merging parties. While we have collected some data on such cases, data on these cases is not always available. Therefore, we cannot guarantee that the final dataset covers all of these cases. The level of observation is not a particular merger case but a particular product/geographic market combination concerned by a merger. In total, the final dataset contains 5,196 DG COMP merger decisions. For each of this decision, we record a number of observations equal to the number of product/geographic markets identified in the specific transaction. Hence, the total dataset contains 31,451 observations.

In its policy, the European Union intervenes when necessary to prevent conflict or in response to emerging or actual crises. In certain cases, EU intervention can take the form of restrictive measures or 'sanctions'. The application of financial sanctions and more precisely the freezing of assets constitutes an obligation for both the public and private sector. In this regard, a particular responsibility falls on credit and financial institutions, since they are involved in the bulk of financial transfers.

In order to facilitate the application of financial sanctions, the European Banking Federation, the European Savings Banks Group, the European Association of Co-operative Banks, the European Association of Public Banks ("the EU Credit Sector Federations") and the European Commission recognised the need for an EU consolidated list of persons, groups and entities subject to financial sanctions and more precisely the freezing of assets. The Credit Sector Federations set up an initial database containing the consolidated list. The European Commission subsequently took over this database and is responsible for its maintenance and for keeping the consolidated list of sanctions up-to-date. In this respect, the European Commission launched a new Web page in June 2017, where the consolidated lists of financial sanctions consisting in freezing of assets are published in different formats (see link below).

Disclaimer: While every effort is made to ensure that the database and the consolidated list correctly reproduce all relevant data of the officially adopted texts published in the Official Journal of the European Union, neither the Commission nor the EU Credit Sector Federations accepts any liability for possible omissions of relevant data or mistakes, and nor for any use the database or of the consolidated list. Only the information published in the Official Journal of the EU is deemed authentic. Please note that the information in this dataset may not be fully up to date because updates are delayed compared to the relevant publications in the EU's Official Journal.

This spreadsheet provides the list of indicators related to the assessment of the quality of child healthcare collected from two type of sources: open-access international databases and national experts. It has been adopted to the Paper 'Quality of child healthcare in European countries: common measures across international databases and national agencies'.

The Common Database on Designated Areas (CDDA) is more commonly known as Nationally designated areas, and is one of the agreed Eionet priority data flows maintained by EEA with support from the European Topic Centre on Biological Diversity. It is a result of an annual data flow through Eionet countries. In fact, Malta, being a member of the EEA, submits this report on an annual basis to fulfill this requirement. The EEA publishes the data set and makes it available to the World Database of Protected Areas (WDPA). The CDDA data can also be queried online in the European Nature Information System (EUNIS).

The CDDA is a data bank for officially designated protected areas such as nature reserves, protected landscapes, National Parks, etc. in Europe. The CDDA is run by the European Environment Agency(EEA). This access database includes only data for National Designations, the main ones being Sites of Special Scientific Interest, National Nature Reserves, Local Nature Reserves, National Parks, Areas of Outstanding Natural Beauty and a variety of Marine Protected Areas. The data are updated annually in March. Further details are available from the EEA's EIONET portal http://rod.eionet.europa.eu/obligations/32. This provides data for all members states in the EU and also describes the data model with descriptions of each table and attribute. The two most important tables in the data schema are the sites table (one row of data for each site) and the designations table (one row for each type of designation). These two tables can be joined on the field DESIG_ABBR. Other tables in the schema are included mainly for EEAs internal purposes. The annual submission of the CDDA

Additional Spatial layers derived from the European Soil Database A number of layers for soil properties have been created based on data from the European Soil Database in combination with data from the Harmonized World Soil Database (HWSD) and Soil-Terrain Database (SOTER). The available layers include: Total available water content, Depth available to roots, Clay content, Silt content, Sand content, Organic carbon, Bulk Density, Coarse fragments. The layers of soil properties of Soil Typological Units (STUs) are only intended to facilitate modelling purposes. The final result of the modelling activity should be aggregated to SMUs or another larger mapping unit. The derived data have mainly the following features (compared to the past - European Soil Database): Represent a soil property from all STUs pertaining to an SMU in a single raster layer was made by mapping the STUs to geographic positions The attribute data are in part based on the STU table of the ESDB and other data sources : Harmonized World Soil Database (HWSD), Soil and Terrain Database (SOTER) The range of parameters is broadened by using Pedo-Transfer Rules (PTRs) to derive estimates of additional parameter Soil Property Topsoil (Filename) Subsoil (Filename) Unit Area of STU allocation STU_EU_ALLOCATE unitless Depth available to roots STU_EU_DEPTH_ROOTS cm Clay content STU_EU_T_CLAY STU_EU_S_CLAY % Sand content STU_EU_T_SAND STU_EU_S_SAND % Silt content STU_EU_T_SILT STU_EU_S_SILT % Organic carbon content STU_EU_T_OC STU_EU_S_OC % Bulk density STU_EU_T_BD STU_EU_S_BD g cm-3 Coarse Fragments STU_EU_T_GRAVEL STU_EU_S_GRAVEL % Total available water content from PTR SMU_EU_T_TAWC SMU_EU_S_TAWC mm Total available water content from PTF STU_EU_T_TAWC STU_EU_S_TAWC mm Access to the data: In order to obtain access to these databases : Fill in the Request form; after which you will receive further instructions how to download the data. References - Porposed Citations Hiederer, R. 2013. Mapping Soil Properties for Europe - Spatial Representation of Soil Database Attributes. Luxembourg: Publications Office of the European Union – 2013 – 47pp. – EUR26082EN Scientific and Technical Research series, ISSN 1831-9424, doi:10.2788/94128 Hiederer, R. 2013. Mapping Soil Typologies - Spatial Decision Support Applied to European Soil Database. Luxembourg: Publications Office of the European Union – 2013 – 147pp. – EUR25932EN Scientific and Technical Research series, ISSN 1831-9424, doi:10.2788/87286 Layer Properties Common properties for the soil property layers are: Format: Idrisi raster format Reference system: ETRS 89 LAEA Rows: 5900 Columns: 4600 Min. X 1500000.0 Max. X 7400000.0 Min. Y 900000.0 Max. Y 5500000.0 Resolution: 1000.0 Reference unit: meter Comments - Notes on to use of soil property layers Comments on to use of soil property layers from spatially allocating soil typological units (STU) of the European Soil Database (ESDB): Spatial layers on key soil properties for the topsoil and subsoil with pan-European coverage are derived from the spatial allocation of STUs. STUs are only allocated to 1km grid cells for those areas where suitable data exist to perform a multi-criteria evaluation and land allocation. In other areas the properties of the dominant STUs are mapped. The area where STUs are allocated is provided as a binary layer. The layers of soil properties of STUs are intended to facilitate modelling requirements by making the complete range of data for a soil mapping unit (SMU) available in a single layer. The procedure used to spatially allocate STU properties to 1km grid cells does not estimate the property of that grid cell, but is the likely distribution of all STUs of a soil mapping unit (SMU) within the spatial and thematic limits of that unit. Users should be aware that the correlation between the soil properties of a grid location with point data from ground surveys may be very low. The final result of the modelling activity should be aggregated to SMUs or another larger mapping unit. It is generally not recommended to aggregate soil properties to larger spatial units by averaging the property values first and then using the average values as input for models. Special note for depth: The depth layer included in the data set is the "depth to obstacles to roots" derived from the ESDB depth classes recorded in the field [ROO.ST_SGDBE]. For organic soils in Sweden the field contains only code 4 (Obstacle to roots between 20 and 40 cm depth). The depth value for this class is set to 30cm. As a consequence, the subsoil layers for organi9c carbon and bulk density only contain mineral soils. The layer is not suitable to calculate soil organic carbon density other than the topsoil. To compute this parameter the required soil properties (depth, organic carbon content, bulk density and gravel content) should be available for the depth of the soil. Special note for peat: The soil texture data contains texture values as provided by the Harmonized World Soil Database (HWSD) V.1.2.1. The HWSD provides texture values also for most typological units classified as peat. In the ESDB pedo-transfer rule (PTR) 22 is used to identify peat. The conditions defining the PTR are purely based on the soil classification name (taxonomy). Data of organic carbon content of the HWSD do not fully correspond to the results of using PTR 22. For example, Histo-Humic Gleysol (Ghh) is classified as peat by PTR 22, but classifying the soil texture and organic carbon content data of the HWSD does not necessarily provide the same class. To identify areas of peat in this data set the peat class (Class 8) in the layer on texture classes should be used, which is consistent with the texture and organic carbon layer data. The classification of peat is done on the basis of the soil clay and organic carbon content as found in the SGDBE of the ESDB. In case a model uses soil texture information separately from peat it is recommended to give priority to the peat areas identified in the data layer of classified soil texture

The rationale for developing the EU HCCD for use in Health Technology Assessment (HTA) across countries is to provide a common dataset of international costs, which can feed into health economic evaluations carried out by transferring economic evaluation analysis and models across countries. Defining a core dataset of costs for use in HTA across countries enables analyses that try to understand the variation in costs within and across countries (taking into account the differences between the healthcare systems and other factors). Additionally, it makes it easier to carry out multi-country studies and to adapt economic evaluation studies from country to country by saving human resources time (and consequently costs) in the task of looking for healthcare costs.

A spatial dataset of the UK's National designations submitted to the Common Database on Designated Areas (CDDA) in March 2016. This is the most up to data copy of the dataset and previous submissions have been archived.

The CDDA is a data bank for officially designated protected areas such as nature reserves, protected landscapes, National Parks, etc. in Europe. The CDDA is run by the European Environment Agency. This spatial dataset includes only data for National Designations, the main ones being Sites of Special Scientific Interest, National Nature Reserves, Local Nature Reserves, National Parks, Areas of Outstanding Natural Beauty and a variety of Marine Protected Areas.

This dataset contains demographic, economic and automation data for Denmark, Finland, Spain, Sweden and the United Kingdom The description of the data sources for country specific data and metrics is found for each country in the tabs with the country names The data are found in the tabs with the name "COUNTRY - Panel" The description of the data that are COMMON for all countries and relate to Economic and Automation inputs are included in the tab with the name "IFR - EUKLEMS" The data for robot adoption matched to country-industry level (EU KLEMS - IFR) is in the tab EUKLEMS_ROBOTS

EU: NPL Ratio: SI: Banks With Largest Non-Domestic Exposures in Non-Single Supervisory Mechanism European Economic Area (EEA) data was reported at 1.630 % in Dec 2024. This records an increase from the previous number of 1.600 % for Sep 2024. EU: NPL Ratio: SI: Banks With Largest Non-Domestic Exposures in Non-Single Supervisory Mechanism European Economic Area (EEA) data is updated quarterly, averaging 4.215 % from Jun 2015 (Median) to Dec 2024, with 38 observations. The data reached an all-time high of 18.390 % in Jun 2015 and a record low of 1.280 % in Sep 2023. EU: NPL Ratio: SI: Banks With Largest Non-Domestic Exposures in Non-Single Supervisory Mechanism European Economic Area (EEA) data remains active status in CEIC and is reported by European Central Bank. The data is categorized under Global Database’s European Union – Table EU.KB024: European Central Bank: Non-Performing Loans Ratio: by Supervisory Banking.

Identification and signage of carpool or intermodal pick-up locations to homogenise the description of meeting areas, promote their use and have a better mesh. 1st contributor: https://www.roulezmalin.com/aires-covoiturage Other first participants: OuiHop, One plus One, Kisio, etalab, carpool-free, Instant System The wiki of the Mobilities Factory also describes the work of the actors on this resource.

Title: Developing a detailed 8-country occupations database for comparative socio-economic research in the European Union Duration: April 2006 - March 2009 Funded by: European Commission - 6th Framework Programme - FP6-028987

The EurOccupations project aimed to build a publicly available database containing the most common occupations for use in multi-country data-collection, through the Internet or otherwise. It covered eight EU countries, notably Belgium, France, Germany, Italy, Netherlands, Poland, Spain, and United Kingdom. The database includes a source list of 1,594 distinct occupational titles within the ISCO-08 classification, country-specific translations and a search tree to navigate through the database.

An updated occupational database is downloadable here: https://www.surveycodings.org/occupation-measurement

See for information about the project: https://wageindicator.org/Wageindicatorfoundation/projects/euroccp

See publications:

Tijdens K.G., De Ruijter, E., De Ruijter, J. (2014) Comparing work tasks of 160 occupations across eight European countries, Employee Relations, 36 (2), pp.110 – 127 (EN) LINK = http://www.emeraldinsight.com/toc/er/36/2

Tijdens, K.G., De Ruijter, J. and De Ruijter, E. (2012), "Measuring work activities and skill requirements of occupations: Experiences from a European pilot study with a web‐survey", European Journal of Training and Development, Vol. 36 No. 7, pp. 751-763. https://doi.org/10.1108/03090591211255575

Our Europe Zip Code Database offers comprehensive postal code data for spatial analysis, including postal and administrative areas for numerous European countries. This dataset contains accurate and up-to-date information on all administrative divisions, cities, and zip codes, making it an invaluable resource for various applications such as address capture and validation, map and visualization, reporting and business intelligence (BI), master data management, logistics and supply chain management, and sales and marketing. Our location data packages are available in various formats, including CSV, optimized for seamless integration with popular systems like Esri ArcGIS, Snowflake, QGIS, and more. Product features include fully and accurately geocoded data, multi-language support with address names in local and foreign languages, comprehensive city definitions, and the option to combine map data with UNLOCODE and IATA codes, time zones, and daylight saving times. Companies choose our location databases for their enterprise-grade service, reduction in integration time and cost by 30%, and weekly updates to ensure the highest quality.

The Czech SpeechDat(E) Database (Eastern European Speech Databases for Creation of Voice Driven Teleservices) comprises 1052 Czech speakers (526 males, 526 females) recorded over the Czech fixed telephone network. This database is partitioned into 6 CDs. The speech databases made within the SpeechDat(E) project were validated by SPEX, the Netherlands, to assess their compliance with the SpeechDat(E) format and content specifications. The speech files are stored as sequences of 8-bit, 8kHz A-law speech files and are not compressed, according to the specifications of SpeechDat(E). Each prompt utterance is stored within a separate file and has an accompanying ASCII SAM label file. Corpus contents: - 6 application words; - 1 sequence of 10 isolated digits; - 4 connected digits: 1 sheet number (5+ digits), 1 telephone number (9-11 digits), 1 credit card number (14-16 digits), 1 PIN code (6 digits); - 3 dates: 1 spontaneous date (birthday), 1 prompted date (word style), 1 relative and general date expression; - 1 spotting phrase using an application word (embedded); - 1 isolated digit; - 3 spelled-out words (letter sequences): 1 spontaneous e.g. own forename; 1 spelling of directory assistance city name; 1 real/artificial name for coverage; - 2 currency money amounts: 1 Czech money amount, 1 International money amount (USD, EURO) - 1 natural number; - 6 directory assistance names: 1 spontaneous, e.g. own forename; 1 city of birth / growing up (spontaneous); 1 most frequent city (out of 500); 1 most frequent company/agency (out of 500); 1 "forename surname" (set of 150 ), 1 "surname" (set of 150 ) - 2 questions, including "fuzzy" yes/no: 1 predominantly "yes" question, 1 predominantly "no" question; - 12 phonetically rich sentences; - 2 time phrases: 1 time of day (spontaneous), 1 time phrase (word style); - 4 phonetically rich words. - 4 additional questions (spontaneous) The following age distribution has been obtained: 20 speakers are below 16 years old, 490 speakers are between 16 and 30, 238 speakers are between 31 and 45, 230 speakers are between 46 and 60, 71 speakers are over 60, and 3 speakers of unknown age. A pronunciation lexicon with a phonemic transcription in SAMPA is also included

European Union Imports of yeasts, other single-cell micro-organisms, prepared baking powders from Cuba was US$10 during 2017, according to the United Nations COMTRADE database on international trade. European Union Imports of yeasts, other single-cell micro-organisms, prepared baking powders from Cuba - data, historical chart and statistics - was last updated on June of 2025.

The Common Database on Designated Areas (CDDA) is more commonly known as Nationally designated areas. It is the official source of protected area information from European countries to the World Database of Protected Areas (WDPA). The inventory began in 1995 under the CORINE programme of the European Commission. It is now one of the agreed Eionet priority data flows maintained by EEA with support from the European Topic Centre on Biological Diversity. The CDDA data can be queried online in the European Nature Information System (EUNIS). Geographical coverage of GIS vector boundary data: Albania, Austria, Belgium, Bosnia and Herzegovina, Bulgaria, Croatia, Cyprus, Czech Republic, Denmark, Estonia, Finland, France, Germany, Greece, Hungary, Iceland, Ireland, Italy, Kosovo (UNSCR 1244/99), Latvia, Liechtenstein, Lithuania, Luxembourg, the North Macedonia, Malta, Montenegro, the Netherlands, Norway, Poland, Portugal, Romania, Serbia, Slovakia, Slovenia, Spain, Sweden, Switzerland and United Kingdom. EEA does not have permission to distribute some or all sites reported by Estonia, Ireland, Romania and Türkiye. When re-using the data, copyright is to be mentioned specifically for Estonia and for Finland: "Estonian Environmental Register 01.01.2017; "©Finnish Environment Institute, 2017".

European Union Imports from United States was US$355.76 Billion during 2024, according to the United Nations COMTRADE database on international trade. European Union Imports from United States - data, historical chart and statistics - was last updated on June of 2025.

The Common Database on Designated Areas (CDDA) is more commonly known as Nationally designated areas. The inventory began in 1995 under the CORINE programme of the European Commission. It is now one of the agreed Eionet priority data flows maintained by EEA with support from the European Topic Centre on Biological Diversity. It is a result of an annual data flow through Eionet countries. The EEA publishes the data set and makes it available to the World Database of Protected Areas (WDPA). The CDDA data can also be queried online in the European Nature Information System (EUNIS).

Geographical coverage of GIS vector boundary data: Albania, Austria, Belgium, Bosnia and Herzegovina, Bulgaria, Croatia, Cyprus, Czech Republic, Denmark, Estonia, Finland, Great Britain, Greece, Ireland, France, Germany, Iceland, Italy, Kosovo (UNSCR 1244/99), Latvia, Liechtenstein, Lithuania, the North Macedonia, the Netherlands, Norway, Poland, Portugal, Romania, Serbia, Slovakia, Slovenia, Spain, Sweden and Switzerland. EEA does not have permission to distribute some or all sites reported by Austria, Estonia, Hungary, Ireland, Kosovo (UNSCR 1244/99), Malta, the Netherlands, Romania, Slovenia and Türkiye.

Copyright is to be mentioned for Estonia: "Estonian Environmental Register 18.02.2013. On-line resource linkage: www.keskkonnainfo.ee"; and for Finland: "©Finnish Environment Institute, 2012".

This database compiles the biometrical data of cattle, sheep and pig, gathered from Switzerland and adjacent areas of Central-Eastern France. The data is dated between the Roman times and the High Middle Ages. This database was produced in relation to the MSCA-IF funded project "ZooRoMed: Supplying ancient empires and medieval economies: Changes in animal husbandry between the Late Roman period and the Early Middle Ages in the Rhine Valley" (https://cordis.europa.eu/project/id/793221); the project was hosted by the University of Basel between 2018 and 2021.

Biometrical abbreviations appear according to: Von den Driesch A (1976) A guide to the measurement of animal bones from archaeological sites. Harvard: Peabody Museum, Bulletin 1.

Many of these compiled datasets had previously been published individually as part of older site monographs, not easily accessible to people based outside of Switzerland, and this is the first time they have been brought together in an Open Access database.

Measurements were collected from a number of different sources:

1. from databases at the institute of Integrative Prehistory and Archaeological Science (IPAS) in Basel, Switzerland
2. from the literature (see bibliography in the document "Sites+references")
3. from unpublished databases belonging to the person who recorded the data (all of these people are co-authors here)

Both postcranial and tooth measurements are included in the database, but not every single measurement from the original reports was included, as a selection of the most common and useful measurements was made. The selection of measurements was made based on a number of parameters:

1. Their availability in databases and reports (generally linked to their prevalence in assemblages due to taphonomic processes, etc.)
2. The ease in which they can be taken consistently by different researchers
3. The ease of their use (for example, only phalanges that could be assigned as either fore or hindlimb were included

This dataset was compiled during the course of a European Commission Horizon 2020 Marie-Skłodowska-Curie Individual Fellowship (Grant Agreement no. 793221), which was held by Idoia Grau-Sologestoa from 2018-2021, and hosted by the institute of Integrative Prehistory and Archaeological Science (IPAS) the University of Basel.

The Common Database on Designated Areas (CDDA) is more commonly known as Nationally designated areas. The inventory began in 1995 under the CORINE programme of the European Commission. It is now one of the agreed Eionet priority data flows maintained by EEA with support from the European Topic Centre on Biological Diversity. It is a result of an annual data flow through Eionet countries. The EEA publishes the data set and makes it available to the World Database of Protected Areas (WDPA). The CDDA data can also be queried online in the European Nature Information System (EUNIS).

Geographical coverage of GIS vector boundary data: Albania, Austria, Belgium, Bosnia and Herzegovina, Bulgaria, Croatia, Cyprus, Czech Republic, Denmark, Estonia, Finland, Great Britain, Greece, Ireland, France, Germany, Iceland, Italy, Kosovo (UNSCR 1244/99), Latvia, Liechtenstein, Lithuania, the North Macedonia, the Netherlands, Norway, Poland, Portugal, Romania, Serbia, Slovakia, Slovenia, Spain, Sweden and Switzerland. EEA does not have permission to distribute some or all sites reported by Estonia, Romania and Türkiye.

Copyright is to be mentioned for Estonia and Finland when re-use of the dataset includes these countries. For Estonia: "Estonian Environmental Register 25.02.2014”. For Finland: "©Finnish Environment Institute, 2014".