This Digital Terrain Model (DTM) for Continental Europe was derived using Ensemble Machine Learning (EML) with publicly available Digital Surface Models. EML was trained using GEDI level 2B points (Level 2A; "elev_lowestmode") and ICESat-2 (ATL08; "h_te_mean"). About 9 million points were overlaid vs MERITDEM, AW3D30, GLO-30, EU DEM, GLAD canopy height, tree cover and surface water cover maps. An ensemble prediction model (mlr package in R) was fitted using random forest, Cubist and GLM, and used to predict the most probable terrain height (bare earth).

The predicted elevations are based on the GEDI data hence the reference water surface (WGS84 ellipsoid) is about 43 m higher than the sea water surface for a specific EU country. Before modeling, reference elevations were corrected to the Earth Gravitational Model 2008 (EGM2008) by using the 5-arcdegree resolution correction surface (Pavlis et al, 2012).

Details on the work to create this dataset can be found here:

• Hengl, Tomislav, Leal Parente, Leandro, Krizan, Josip, and Bonannella, Carmelo. 2020. "Continental Europe Digital Terrain Model at 30 M Resolution Based on GEDI, Icesat-2, AW3D, GLO-30, EUDEM, MERIT DEM and Background Layers." Zenodo. https://doi.org/10.5281/zenodo.4724549.
• European Digital Terrain Models (EU DTM)

NOTE:This dataset has been converted from its original units of decimeters to meters to aid comparisons with other datasets in the OpenTopography catalog.

This dataset provides values for POPULATION reported in several countries. The data includes current values, previous releases, historical highs and record lows, release frequency, reported unit and currency.

This dataset provides values for GOVERNMENT REVENUES reported in several countries. The data includes current values, previous releases, historical highs and record lows, release frequency, reported unit and currency.

Graph and download economic data for Real Gross Domestic Product for European Union (15 Countries) (CLVMNACSCAB1GQEU15) from Q1 1995 to Q4 2019 about EU, Europe, real, and GDP.

This dataset provides values for COMPETITIVENESS INDEX reported in several countries. The data includes current values, previous releases, historical highs and record lows, release frequency, reported unit and currency.

In 2022, Denmark had the highest Rule of Law Index score among European countries, at 0.9 followed by Norway on 0.89, and Finland on 0.87, suggesting that the rule of law was strongest in those countries. By contrast, Turkey had the lowest score among the selected countries, at 0.42, with Russia and Belarus also having low scores, implying a weak adherence to the rule of law.

This dataset provides values for CORPORATE PROFITS reported in several countries. The data includes current values, previous releases, historical highs and record lows, release frequency, reported unit and currency.

This document identifies linguistic corpora that can be explored as high-quality training data for automatic translation within EASIER (as opposed to loosely aligned broadcast data). For each data set, the document lists what parts of the data are available under what access conditions. It also lists the elicitation formats used in several corpora in order to identify those parts of the available corpora that could be explored to build multilingual resources. In order to support the construction of an interlingual index across European sign languages, the document also lists lexical resources (lexical databases and dictionaries) available and their characteristics.

The number of internet users in Southern Europe was forecast to continuously increase between 2024 and 2029 by in total 22.9 million users (+11.12 percent). After the fifteenth consecutive increasing year, the number of users is estimated to reach 228.95 million users and therefore a new peak in 2029. Notably, the number of internet users of was continuously increasing over the past years.Depicted is the estimated number of individuals in the country or region at hand, that use the internet. As the datasource clarifies, connection quality and usage frequency are distinct aspects, not taken into account here.The shown data are an excerpt of Statista's Key Market Indicators (KMI). The KMI are a collection of primary and secondary indicators on the macro-economic, demographic and technological environment in up to 150 countries and regions worldwide. All indicators are sourced from international and national statistical offices, trade associations and the trade press and they are processed to generate comparable data sets (see supplementary notes under details for more information).Find more key insights for the number of internet users in countries like Central & Western Europe and Eastern Europe.

This dataset provides values for UNEMPLOYMENT CHANGE reported in several countries. The data includes current values, previous releases, historical highs and record lows, release frequency, reported unit and currency.

5G is expected to impact the European economy in the near future. Around half of 5G mobile technology's contribution to the European economy is set to be realized in the services sector in 2030, while the manufacturing sector is expected to account for 29 percent.

This dataset provides values for WAGE GROWTH reported in several countries. The data includes current values, previous releases, historical highs and record lows, release frequency, reported unit and currency.

This dataset provides values for GDP DEFLATOR reported in several countries. The data includes current values, previous releases, historical highs and record lows, release frequency, reported unit and currency.

Abstract copyright UK Data Service and data collection copyright owner. The original objective was to produce a marketing survey of 16 countries in Western Europe, to measure their differences as consumers over a wide range of goods and services, and to see how subscribers to European editions of the Reader's Digest compared against the total population of each country. The results are of interest, however, to social planners, sociologists and students of Europe as well as to marketing organizations. Main Topics: The survey, carried out in 16 western European countries in 1969, was intended to up-date and extend the coverage of the 1963 Products and People survey (Survey Number 1511). Coverage was expanded to cover all the countries of EFTA as well as Finland, Spain and the Republic of Ireland. Like the 1963 study, this survey was intended primarily to be a marketing survey of western European countries, to measure these countries' differences as consumers over a wide range of goods and services, and to see how subscribers to the Reader's Digest compared against the total population of each country. However, a number of other broader attitudinal questions have been added, as in 1963, which give the survey a much wider relevance and potential audience than might otherwise be expected. Apart from measuring these and ownership of more than 200 consumer goods and services, information was also collected about the people and families of Europe and their attitudes over a wide range of topics. We present a broad overview of these below. See the questionnaire for more specific information on actual questions asked. 1. Families, Homes and Possessions: size and compostition of households; occupational structures; family incomes; education backgrounds; languages spoken and read; religions; types of accommodation, amenities and tenure; savings, insurance. 2. In the Home: labour-saving equipment; kitchen equipment; washing and cleaning. 3. Food and Drink: information on types of food and drink consumed, preferred. 4. The Leisure Hours: television viewing; involvement in various specified leisure activities, including adult education; second home ownership; pet ownership. 5. Transport and Tourism: automobile ownership; holiday activities and travel. 6. Fashion: attitudes to fashion; amount spent on grooming aids, cosmetics, clothing, wrist-watches. 7. Attitudes to Europe: sense of well-being; knowledge of and attitudes to Common Market and European union; national images and perception of same; identification of and attitudes towards various countries and their products. 8. Socio-Cultural Attitudes: attitudes to advertising; the generation gap; social tolerance (class, sex, religion, colour etc.), attitudes towards law-breakers and social justice; honesty and family relationships.

This dataset provides values for REAL INTEREST RATE PERCENT WB DATA.HTML reported in several countries. The data includes current values, previous releases, historical highs and record lows, release frequency, reported unit and currency.

Trade Balance: swda: EU 27E: Brazil: Food and Live Animals for Food data was reported at -1.004 EUR bn in Jan 2024. This records a decrease from the previous number of -0.875 EUR bn for Dec 2023. Trade Balance: swda: EU 27E: Brazil: Food and Live Animals for Food data is updated monthly, averaging -0.618 EUR bn from Jan 2002 to Jan 2024, with 265 observations. The data reached an all-time high of -0.352 EUR bn in Feb 2003 and a record low of -1.316 EUR bn in Aug 2022. Trade Balance: swda: EU 27E: Brazil: Food and Live Animals for Food data remains active status in CEIC and is reported by Eurostat. The data is categorized under Global Database’s European Union – Table EU.JA028: Eurostat: Trade Statistics: By SITC: European Union: Brazil.

Trade Balance: EU 27E: Brazil: Manufactured Gds data was reported at 0.113 EUR bn in Jan 2024. This records a decrease from the previous number of 0.188 EUR bn for Dec 2023. Trade Balance: EU 27E: Brazil: Manufactured Gds data is updated monthly, averaging 0.002 EUR bn from Jan 2002 to Jan 2024, with 265 observations. The data reached an all-time high of 0.267 EUR bn in Oct 2013 and a record low of -0.327 EUR bn in Jan 2007. Trade Balance: EU 27E: Brazil: Manufactured Gds data remains active status in CEIC and is reported by Eurostat. The data is categorized under Global Database’s European Union – Table EU.JA028: Eurostat: Trade Statistics: By SITC: European Union: Brazil.

3 data files (ZIP compressed); 35 documentation files (ZIP compressed) The Statistical Database on Loss of Citizenship is the first comprehensive database on loss of nationality of the Member States of the European Union. The Statistical Database is presented explicitly in addition to, rather than as alternative to, the Eurostat Database, in order to facilitate cross-national comparison of statistics about the loss of nationality. The Statistical Database contains the following information: (i) Data on the total number of loss of nationality of each Member State per year, based on the data available from national sources since 1985; (ii) Data on the number of losses of nationality by legal basis of each Member State per year, based on the data available from national sources since 1985. The downloadable files include information on the precise legal basis with reference to the national law, as well as the EUDO CITIZENSHIP comparative typology on modes of loss of nationality; (iii) Source documents with details for each Member State about available data, through Eurostat and/or additional national sources (including hyperlinks to these sources). Additional comments on the interpretation of these data are included, where available, as well as contact details of national authorities responsible for the collection of statistics about loss of nationality. This dataset was prepared in the context of the ILEC project (Involuntary Loss of European Citizenship: Exchanging Knowledge and Identifying Guidelines for Europe), which aims to establish a framework for debate on international norms on involuntary loss of nationality. For more information visit: www.ilecproject.eu. ILEC is a research project co-funded by the European Commissionﾒs DG Justice, Citizenship and Fundamental Rights. Published chapter 'Mapping statistics on loss of nationality in the EU : a new online database' and working paper 'Statistics on loss of nationality in Europe' based on the dataset