France was the European country with the highest level of open data maturity in 2021, with a score of ** percent. By contrast, Georgia ranked last with a score of only ** percent. The assessment is based on four dimensions: policy, portal, impact, and quality of open data.

The number of countries in Europe with over 100 passported open banking third party provider (TPP) registrations rocketed between the third quarter of 2021 and the first quarter of 2023. While in the third quarter of 2021, there was no European country with so many passported TPPs, by the end of 2022, ** countries had over 100 registrations. In the first quarter of 2023, Italy and Spain had the highest number of passported TPPs in Europe.

Funding: This work was funded by the National Insitute for Heatlh Research (NIHR) (NIHR200908) and the Wellcome Trust (206250/Z/17/Z) (LACC, TWR, AJK). The work was partly supported by funding from the European Union's Horizon 2020 research and innovation programme - project EpiPose (101003688: RCB); the FCDO/Wellcome Trust (Epidemic Preparedness Coronavirus research programme 221303/Z/20/Z: KvZ); the Wellcome Trust (210758/Z/18/Z: SA); NIHR (NIHR200929) (NGD); UK MRC (MC_PC_19065) (NGD) and UKRI Research England (NGD). The funders had no role in the study design, data collection and analysis, decision to publish, or preparation of the manuscript.

European Export of Open Sections, Not Further Worked than Hot-Rolled, Hot-Drawn or Extruded of Stainless Steel by Country, 2021 Discover more data with ReportLinker!

Natura 2000 is a network of core breeding and resting sites for rare and threatened species, and some rare natural habitat types which are protected in their own right. It stretches across all 27 EU countries, both on land and at sea. The aim of the network is to ensure the long-term survival of Europe's most valuable and threatened species and habitats, listed under both the Birds Directive and the Habitats Directive.

The European Union and its Member States have been working to reduce the use of tobacco and related products through a range of measures, including regulating tobacco and related products, restricting the advertising and sponsorship of tobacco and related products, implementing smoke-free environments and running anti-smoking campaigns. The European Commission regularly carries out public opinion polls to monitor Europeans' attitudes to a range of tobacco-related issues. Less than a quarter (23%) of the respondents smoke boxed cigarettes, cigars, cigarillos or a pipe, a decrease by three percentage points since 2017. 14% of respondents have at least tried e-cigarettes once or twice, while around one in twenty (6%) say the same for heated tobacco products.

The results by volumes are distributed as follows:

• Volume A: Countries
• Volume AA: Groups of countries
• Volume A' (AP): Trends
• Volume AA' (AAP): Trends of groups of countries
• Volume B: EU/socio-demographics
• Volume B' (BP) : Trends of EU/ socio-demographics
• Volume C: Country/socio-demographics ---- Researchers may also contact GESIS - Leibniz Institute for the Social Sciences: https://www.gesis.org/eurobarometer

As of April 2021, all restaurant chefs surveyed in Australia reported having re-opened their establishments after the COVID-19 lockdowns. Meanwhile, ** percent of respondents in Israel said the same about their workplaces. In contrast, only ** percent of surveyed Swiss chefs claimed to be working in a fully re-opened restaurant.

This database that can be used for macro-level analysis of road accidents on interurban roads in Europe. Through the variables it contains, road accidents can be explained using variables related to economic resources invested in roads, traffic, road network, socioeconomic characteristics, legislative measures and meteorology. This repository contains the data used for the analysis carried out in the papers:

1. Calvo-Poyo F., Navarro-Moreno J., de Oña J. (2020) Road Investment and Traffic Safety: An International Study. Sustainability 12:6332. https://doi.org/10.3390/su12166332

2. Navarro-Moreno J., Calvo-Poyo F., de Oña J. (2022) Influence of road investment and maintenance expenses on injured traffic crashes in European roads. Int J Sustain Transp 1–11. https://doi.org/10.1080/15568318.2022.2082344

3. Navarro-Moreno, J., Calvo-Poyo, F., de Oña, J. (2022) Investment in roads and traffic safety: linked to economic development? A European comparison. Environ. Sci. Pollut. Res. https://doi.org/10.1007/s11356-022-22567

The file with the database is available in excel.

DATA SOURCES

The database presents data from 1998 up to 2016 from 20 european countries: Austria, Belgium, Croatia, Czechia, Denmark, Estonia, Finland, France, Germany, Ireland, Italy, Latvia, Netherlands, Poland, Portugal, Slovakia, Slovenia, Spain, Sweden and United Kingdom. Crash data were obtained from the United Nations Economic Commission for Europe (UNECE) [2], which offers enough level of disaggregation between crashes occurring inside versus outside built-up areas.

With reference to the data on economic resources invested in roadways, deserving mention –given its extensive coverage—is the database of the Organisation for Economic Cooperation and Development (OECD), managed by the International Transport Forum (ITF) [1], which collects data on investment in the construction of roads and expenditure on their maintenance, following the definitions of the United Nations System of National Accounts (2008 SNA). Despite some data gaps, the time series present consistency from one country to the next. Moreover, to confirm the consistency and complete missing data, diverse additional sources, mainly the national Transport Ministries of the respective countries were consulted. All the monetary values were converted to constant prices in 2015 using the OECD price index.

To obtain the rest of the variables in the database, as well as to ensure consistency in the time series and complete missing data, the following national and international sources were consulted:

• Eurostat [3]
• Directorate-General for Mobility and Transport (DG MOVE). European Union [4]
• The World Bank [5]
• World Health Organization (WHO) [6]
• European Transport Safety Council (ETSC) [7]
• European Road Safety Observatory (ERSO) [8]
• European Climatic Energy Mixes (ECEM) of the Copernicus Climate Change [9]
• EU BestPoint-Project [10]
• Ministerstvo dopravy, República Checa [11]
• Bundesministerium für Verkehr und digitale Infrastruktur, Alemania [12]
• Ministerie van Infrastructuur en Waterstaat, Países Bajos [13]
• National Statistics Office, Malta [14]
• Ministério da Economia e Transição Digital, Portugal [15]
• Ministerio de Fomento, España [16]
• Trafikverket, Suecia [17]
• Ministère de l’environnement de l’énergie et de la mer, Francia [18]
• Ministero delle Infrastrutture e dei Trasporti, Italia [19–25]
• Statistisk sentralbyrå, Noruega [26-29]
• Instituto Nacional de Estatística, Portugal [30]
• Infraestruturas de Portugal S.A., Portugal [31–35]
• Road Safety Authority (RSA), Ireland [36]

DATA BASE DESCRIPTION

The database was made trying to combine the longest possible time period with the maximum number of countries with complete dataset (some countries like Lithuania, Luxemburg, Malta and Norway were eliminated from the definitive dataset owing to a lack of data or breaks in the time series of records). Taking into account the above, the definitive database is made up of 19 variables, and contains data from 20 countries during the period between 1998 and 2016. Table 1 shows the coding of the variables, as well as their definition and unit of measure.

Table. Database metadata

ACKNOWLEDGEMENTS

This database was carried out in the framework of the project “Inversión en carreteras y seguridad vial: un análisis internacional (INCASE)”, financed by: FEDER/Ministerio de Ciencia, Innovación y Universidades–Agencia Estatal de Investigación/Proyecto RTI2018-101770-B-I00, within Spain´s National Program of R+D+i Oriented to Societal Challenges.

Moreover, the authors would like to express their gratitude to the Ministry of Transport, Mobility and Urban Agenda of Spain (MITMA), and the Federal Ministry of Transport and Digital Infrastructure of Germany (BMVI) for providing data for this study.

REFERENCES

1. International Transport Forum OECD iLibrary | Transport infrastructure investment and maintenance.

2. United Nations Economic Commission for Europe UNECE Statistical Database Available online: https://w3.unece.org/PXWeb2015/pxweb/en/STAT/STAT_40-TRTRANS/?rxid=18ad5d0d-bd5e-476f-ab7c-40545e802eeb (accessed on Apr 28, 2020).

3. European Commission Database - Eurostat Available online: https://ec.europa.eu/eurostat/data/database (accessed on Apr 28, 2021).

4. Directorate-General for Mobility and Transport. European Commission EU Transport in figures - Statistical Pocketbooks Available online: https://ec.europa.eu/transport/facts-fundings/statistics_en (accessed on Apr 28, 2021).

5. World Bank Group World Bank Open Data | Data Available online: https://data.worldbank.org/ (accessed on Apr 30, 2021).

6. World Health Organization (WHO) WHO Global Information System on Alcohol and Health Available online: https://apps.who.int/gho/data/node.main.GISAH?lang=en (accessed on Apr 29, 2021).

7. European Transport Safety Council (ETSC) Traffic Law Enforcement across the EU - Tackling the Three Main Killers on Europe’s Roads; Brussels, Belgium, 2011;

8. Copernicus Climate Change Service Climate data for the European energy sector from 1979 to 2016 derived from ERA-Interim Available online: https://cds.climate.copernicus.eu/cdsapp#!/dataset/sis-european-energy-sector?tab=overview (accessed on Apr 29, 2021).

9. Klipp, S.; Eichel, K.; Billard, A.; Chalika, E.; Loranc, M.D.; Farrugia, B.; Jost, G.; Møller, M.; Munnelly, M.; Kallberg, V.P.; et al. European Demerit Point Systems : Overview of their main features and expert opinions. EU BestPoint-Project 2011, 1–237.

10. Ministerstvo dopravy Serie: Ročenka dopravy; Ročenka dopravy; Centrum dopravního výzkumu: Prague, Czech Republic;

11. Bundesministerium

Activity Description: In this initiative, a quantivie online survey was distributed via Social Media, email, and other communication channels (i.e. WhatsApp), with the aim of accumulating 500 responses. The survey was specifically directed towards RESCoop members, authorities, and policymakers across Europe. Purpose of the Surveys: A comprehensive survey was crafted with the primary purpose of gathering insights conserning mainly the potential expansion of the bioenergy market within RESCoops. To ensure effective communication with the target audience, the questionnaire was initially developed in English, and the project partners collaborated to translate it into the six languages of the consortium: French, German, Greek, Italian, Polish, and Spanish. This multilingual approach played a significant role in facilitating engagement. The translated survey was then administered online through a GDPR-compliant EU survey platform. Led by the pilot teams the survey's dissemination efforts acitively engaged the target audience, both within their respective regions and other european countries. The survey promotion phase spanned from February to May 2021, leveraging the extensive networks, social media accounts, websites, and communication channels of the BECoop project. The survey remained open until the end of the project. This project has received funding from the European Union’s Horizon 2020 research and innovation programme under Grant Agreement no. 952930.

In Europe, the Netherlands and Denmark have the highest percentages of LGBTI people who feel free to be open about their sexual orientation. In a survey conducted in 2019, ** percent of respondents from the Netherlands and Denmark, declared that they were fairly or very open about their sexual orientation. Sweden, Belgium, Germany, and the United Kingdom followed. In the European Union, lesbian and gay people are more likely to be open about their sexual orientation than bisexual, trans, and intersex people. In a survey conducted in 2019 in ** EU countries, bisexual men and intersex people were mostly never or almost never open about their sexual orientation.

Same-sex couples in Europe

In Europe, ** countries recognized same-sex couples as of 2020. There are various forms of recognition of rights and duties of same-sex couples, including civil unions, concubinary unions, de facto partnerships, registered partnerships, and other types of partnerships. Same-sex marriage, has been legalized in ** countries in Europe, with Switzerland the latest to do so. In ** European countries, same-sex couples can also jointly adopt children as of 2020. In America and Europe, more countries permitted homosexual couples to adopt children than in Oceania, Asia, and Africa.

LGBT+ in Eastern Europe

Among East European countries, support for the equal rights of LGBT+ people is low. According to a recent survey, about one half of respondents in Czechia expressed support toward equal rights for the LGBT+ community, the largest share among surveyed countries in Central and Eastern Europe. The Parliament in Hungary approved in 2021 an anti-LGBT law, which was condemned by the European Union, as it breaches guarantees of freedom of expression and non-discrimination. This motion was openly supported by the Polish government.

Authors to the case posters and contributors from consortium partners are described in the deliverable.

The H2020 YouCount project runs from February 2021 to January 2024 and the consortium consists of 11 partners from nine European countries. Multiple case studies—consisting of 10 co-creative Y-CSS projects with young citizen scientists (YCS) aged between about 13-29 years old across nine countries in Europe—will provide knowledge about the positive drivers of social inclusion in general. The cases will further produce knowledge as well as innovations in relation to social participation, social belonging, and citizenship.

In line with YouCount’s commitment to Open Science and Data Management based on the FAIR Principles, D2.2 provides a sample of open data concerning social inclusion from the research and innovation activities during the implementation period. The open data is based on informed consent and includes the following files included in the report:

1. File 1 Homepage 30-06-22, Case descriptions.

2. File 2 Case posters 08-06-2022, Experiences with inclusive co-creative Y-CSS in multiple case study.

3. File 3 Narrative text 26-06-22, Experiences with developing the YouCount app toolkit, methodology.

4. File 4 Quotes 25-06-22, Views and experiences with social inclusion of youths, YouCount/ECSA WG EIE webinars 2021 and YouCount newsletters 2022.

5. File 5 Links to YouCount app toolkit, 28-06-22, Youths’ views and experiences with social inclusion opportunities, observations.

Notably, the open data are based on a co-creative and flexible research design and comes in an early phase of the case studies. They can thus only be used as emerging data and preliminary findings. Still, the data contain valuable information of the research experiences and voices from young people found in the early phase of conducting hands on co-creative Y-CSS. More systematic open social inclusion data will be provided later in the project.

The open data can also be found at the project website Home - YouCount - Social Citizen Science (youcountproject.eu).

Note! They are shared under CC-BY (text) and CC-BY-ND (images case posters) due to confidentiality issues.

Context

TripAdvisor is the most popular travel website and it stores data for almost all restaurants, showing locations (even latitude and longitude coordinates), restaurant descriptions, user ratings and reviews, and many more aspects.

The website is well known for displaying user ratings and reviews for restaurants, hotels, b&b, touristic attractions, and other places, with a total word count of all reviews is more than 10 billion.

Content

The TripAdvisor dataset includes 1,083,397 restaurants with attributes such as location data, average rating, number of reviews, open hours, cuisine types, awards, etc.

The dataset combines the restaurants from the main European countries.

Acknowledgements

Data has been retrieved from the publicly available website https://tripadvisor.com/.

All the restaurants from the main European countries have been scraped in early May 2021.

Inspiration

To provide further information in regards to the restaurants details that make them successful and appreciated by the users, with the possibility to compare the common features of different European countries regarding the average ratings, awards, open hours, reviews count, etc.

European Import of Tubes and Pipes, Open Seam, Riveted or Similarly Closed of Steel by Country, 2021 Discover more data with ReportLinker!

Household variables for the 2021 Annual Survey on Income and Living Conditions are presented. The aim of the survey is to produce statistical information comparable with other European Union (EU) countries on gross and disposable household income, housing conditions, the physical and social environment of the household, access to some needs, employment, work, health status and problems and access to health care for household members over 16 years of age, and to assess the indicators of the at-risk-of-poverty rate, material deprivation and social exclusion. Statistical data are collected on household composition (and changes in households participating in previous surveys), housing conditions, household financial situation, etc. at the time of the survey, i.e. the interview. Statistics on income received and taxes paid are collected for the previous calendar year.

The city of Paris in France had an estimated gross domestic product of 757.6 billion Euros in 2021, the most of any European city. Paris was followed by the spanish capital, Madrid, which had a GDP of 237.5 billion Euros, and the Irish capital, Dublin at 230 billion Euros. Milan, in the prosperous north of Italy, had a GDP of 228.4 billion Euros, 65 billion euros larger than the Italian capital Rome, and was the largest non-capital city in terms of GDP in Europe. The engine of Europe Among European countries, Germany had by far the largest economy, with a gross domestic product of over 4.18 trillion Euros. The United Kingdom or France have been Europe's second largest economy since the 1980s, depending on the year, with forecasts suggesting France will overtake the UK going into the 2020s. Germany however, has been the biggest European economy for some time, with five cities (Munich, Berlin, Hamburg, Stuttgart and Frankfurt) among the 15 largest European cities by GDP. Europe's largest cities In 2023, Moscow was the largest european city, with a population of nearly 12.7 million. Paris was the largest city in western Europe, with a population of over 11 million, while London was Europe's third-largest city at 9.6 million inhabitants.

Snapshot img

The 3D computer-aided design (CAD) market in Eastern Europe has the potential to grow by USD 209.62 million during 2021-2025, and the market’s growth momentum will accelerate at a CAGR of 5.90%.

This 3D computer-aided design market research report of Eastern Europe provides valuable insights on the post COVID-19 impact on the market, which will help companies evaluate their business approaches. Furthermore, this report extensively covers market segmentation by end-user (automotive, industrial machinery, aerospace and defense, and others) and geography (Russian Federation, Turkey, Poland, Greece, and rest of Eastern Europe). The 3D computer-aided design market report of Eastern Europe also offers information on several market vendors, including 3D Systems Corp., ANSYS Inc., Autodesk Inc, CAXA Technology Co. Ltd., Constellation Software Inc., Dassault Systemes SE, IronCAD LLC, PTC Inc., Siemens AG, and ZWSOFT Co. Ltd. among others.

What will the 3D Computer-Aided Design (CAD) Market Size in Eastern Europe be in 2021?

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3D Computer-Aided Design (CAD) Market in Eastern Europe: Key Drivers and Trends

The growing adoption of 3D CAD in the civil and construction industry is notably driving the 3D computer-aided design market growth in Eastern Europe, although factors such as challenges from open-source platforms may impede market growth. To unlock information on the key market drivers and the COVID-19 pandemic impact on the 3D computer-aided design industry in Eastern Europe get your FREE report sample now.

      The growing adoption of 3D CAD in the civil and construction industry will fuel the growth of the 3D computer-aided design market size in Eastern Europe.
      Maintenance and restoration operations, along with a shift to sustainable building development and retrofitting practices, are driving the growth of the construction market in Eastern European countries. 
      With the rising demand for construction, the demand for CAD software worldwide will increase.
      3D CAD software solutions standardize the construction process by enabling the simplified and streamlined management of labor, site events, data capture, information, and material costs.
      With the deployment of this software, engineers and architects will witness a rise in the profitability and efficiency of their projects.
      Complex structures, frames, forms, and fabrication details of materials have been made easier by the array of 3D models that can be made by the 3D CAD software. 




      The growing role of 3D CAD in packaging machineries will drive the 3D computer-aided design market in Eastern Europe.
      The rise in demand for food, healthcare, and personal and household care products and the proliferation of renowned retail product manufacturers in both Eastern Europe are projected to have a positive impact on the packaging market in the region during the forecast period.
      A major driver for the packaging machinery market in Eastern Europe is the increase in the demand for smart packaging. 
      The growing demand for smart packaging is due to the increased concern over the wastage of food since smart packaging significantly reduces the loss and wastage of food compared with traditional packaging.
      Companies such as Dassault Systèmes SE (Dassault Systèmes) are providing 3D CAD software (SOLIDWORKS) that enables engineers to design machinery and conveying and filling processes. 

This 3D computer-aided design market analysis report of Eastern Europe also provides detailed information on other upcoming trends and challenges that will have a far-reaching effect on the market growth. Get detailed insights on the trends and challenges, which will help companies evaluate and develop growth strategies.

Who are the Major 3D Computer-Aided Design (CAD) Market Vendors in Eastern Europe?

The report analyzes the market’s competitive landscape and offers information on several market vendors, including:

3D Systems Corp.
ANSYS Inc.
Autodesk Inc
CAXA Technology Co. Ltd.
Constellation Software Inc.
Dassault Systemes SE
IronCAD LLC
PTC Inc.
Siemens AG
ZWSOFT Co. Ltd.

The 3D CAD market in Eastern Europe is fragmented and the vendors are deploying growth strategies such as entering into strategic alliances with technology providers to compete in the market. Click here to uncover other successful business strategies deployed by the vendors.

To make the most of the opportunities and recover from post COVID-19 impact, market vendors should focus more on the growth prospects in the fast-growing segments, while maintaining their positions in the slow-growing segments.

Download a free sample of the 3D computer-aided design market forecast report of Eastern Europe for insights on complete

As of mid-2021, there were ** new hotels in Spain planning to start operations that same year. Meanwhile, another ** ongoing hotel projects in that European country were expected to open their doors for tourists in 2022.

# ERA-NUTS (1980-2021)

This dataset contains a set of time-series of meteorological variables based on Copernicus Climate Change Service (C3S) ERA5 reanalysis. The data files can be downloaded from here while notebooks and other files can be found on the associated Github repository.

This data has been generated with the aim of providing hourly time-series of the meteorological variables commonly used for power system modelling and, more in general, studies on energy systems.

An example of the analysis that can be performed with ERA-NUTS is shown in this video.

Important: this dataset is still a work-in-progress, we will add more analysis and variables in the near-future. If you spot an error or something strange in the data please tell us sending an email or opening an Issue in the associated Github repository.

## Data
The time-series have hourly/daily/monthly frequency and are aggregated following the NUTS 2016 classification. NUTS (Nomenclature of Territorial Units for Statistics) is a European Union standard for referencing the subdivisions of countries (member states, candidate countries and EFTA countries).

This dataset contains NUTS0/1/2 time-series for the following variables obtained from the ERA5 reanalysis data (in brackets the name of the variable on the Copernicus Data Store and its unit measure):

- t2m: 2-meter temperature (`2m_temperature`, Celsius degrees)
- ssrd: Surface solar radiation (`surface_solar_radiation_downwards`, Watt per square meter)
- ssrdc: Surface solar radiation clear-sky (`surface_solar_radiation_downward_clear_sky`, Watt per square meter)
- ro: Runoff (`runoff`, millimeters)

There are also a set of derived variables:
- ws10: Wind speed at 10 meters (derived by `10m_u_component_of_wind` and `10m_v_component_of_wind`, meters per second)
- ws100: Wind speed at 100 meters (derived by `100m_u_component_of_wind` and `100m_v_component_of_wind`, meters per second)
- CS: Clear-Sky index (the ratio between the solar radiation and the solar radiation clear-sky)
- HDD/CDD: Heating/Cooling Degree days (derived by 2-meter temperature the EUROSTAT definition.

For each variable we have 367 440 hourly samples (from 01-01-1980 00:00:00 to 31-12-2021 23:00:00) for 34/115/309 regions (NUTS 0/1/2).

The data is provided in two formats:

- NetCDF version 4 (all the variables hourly and CDD/HDD daily). NOTE: the variables are stored as `int16` type using a `scale_factor` to minimise the size of the files.
- Comma Separated Value ("single index" format for all the variables and the time frequencies and "stacked" only for daily and monthly)

All the CSV files are stored in a zipped file for each variable.

## Methodology

The time-series have been generated using the following workflow:

1. The NetCDF files are downloaded from the Copernicus Data Store from the ERA5 hourly data on single levels from 1979 to present dataset
2. The data is read in R with the climate4r packages and aggregated using the function `/get_ts_from_shp` from panas. All the variables are aggregated at the NUTS boundaries using the average except for the runoff, which consists of the sum of all the grid points within the regional/national borders.
3. The derived variables (wind speed, CDD/HDD, clear-sky) are computed and all the CSV files are generated using R
4. The NetCDF are created using `xarray` in Python 3.8.

## Example notebooks

In the folder `notebooks` on the associated Github repository there are two Jupyter notebooks which shows how to deal effectively with the NetCDF data in `xarray` and how to visualise them in several ways by using matplotlib or the enlopy package.

There are currently two notebooks:

- exploring-ERA-NUTS: it shows how to open the NetCDF files (with Dask), how to manipulate and visualise them.
- ERA-NUTS-explore-with-widget: explorer interactively the datasets with [jupyter]() and ipywidgets.

The notebook `exploring-ERA-NUTS` is also available rendered as HTML.

## Additional files

In the folder `additional files`on the associated Github repository there is a map showing the spatial resolution of the ERA5 reanalysis and a CSV file specifying the number of grid points with respect to each NUTS0/1/2 region.

## License

This dataset is released under CC-BY-4.0 license.

This dataset describes the collective involvement of citizens in the energy transition with a focus on 2010-2021 across 29 countries in Europe. It is the first systematic data collection of its kind. Data are collected for the initiatives citizens are leading, fields of activities they engage in (e.g., installation of renewable capacities, operation of charging infrastructure for electric vehicles, engagement in energy education and services provision), number of people involved or being members, financial data of initiatives, and characteristics of production units planned, installed, operated and/or purchased by the initiatives.

Yearly citation counts for the publication titled "Prevalence of polypharmacy in community-dwelling older adults from seven centres in five European countries: a cross-sectional study of DO-HEALTH".