The Population Exposure Estimates in Proximity to Nuclear Power Plants, Locations data set combines information from a global data set developed by Declan Butler of Nature News and the Power Reactor Information System (PRIS), an up-to-date database of nuclear reactors maintained by the International Atomic Energy Agency (IAEA). The locations of nuclear reactors around the world are represented as point features associated with reactor specification and performance history attributes as of March 2012.

The Global Power Plant Database is a comprehensive, open source database of power plants around the world. It centralizes power plant data to make it easier to navigate, compare and draw insights. Each power plant is geolocated and entries contain information on plant capacity, generation, ownership, and fuel type. As …

The Population Exposure Estimates in Proximity to Nuclear Power Plants, Country-Level Aggregates data set consists of country-level estimates of total, urban, and rural populations and land area, country-wide, that are in proximity to a nuclear power plant. This data set was created using a global data set of point locations of nuclear power plants, with buffer zones at 30km, 75km, 150km, 300km, 600km, and 1200km, and the Global Population Count Grid Time Series Estimates, Version 1 to estimate the population within each buffer zone for the years 1990, 2000, and 2010. Global Rural-Urban Mapping Project, Version 1 (GRUMPv1) Land and Geographic Unit Area Grids were used to estimate land area within each buffer zone. The GRUMPv1 Urban Extents Grid was used to further delineate population and land area estimates within urban and rural areas. All grids used for population, land area, and urban mask were of 1 km (30 arc-second) resolution.

The Global Power Plant Database is a comprehensive, open source database of power plants around the world. It centralizes power plant data to make it easier to navigate, compare and draw insights for one’s own analysis. The database covers approximately 35,000 power plants from 167 countries and includes thermal plants (e.g. coal, gas, oil, nuclear, biomass, waste, geothermal) and renewables (e.g. hydro, wind, solar). Each power plant is geolocated and entries contain information on plant capacity, generation, ownership, and fuel type. It will be continuously updated as data becomes available.

Nuclear Energy Index rose to 37.72 USD on July 11, 2025, up 1.75% from the previous day. Over the past month, Nuclear Energy Index's price has risen 4.31%, and is up 20.90% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. This dataset includes a chart with historical data for Nuclear Energy Index.

This interactive dashboard offers a comprehensive overview of nuclear power plants around the world. It visualizes the number and location of active nuclear facilities, giving users insights into the global spread of nuclear energy. Whether you're a researcher, student, or simply curious, this tool makes complex data easy to understand.

The map is free to explore with a basic Spotzi account. No subscription is required — simply sign up and start analyzing the data right away. It's a powerful resource for anyone interested in global energy infrastructure.

*Reactor cost data for recently constructed reactors was collected from official press releases. When costs were only given as a lumped sum for multiple units at a plant, the cost for a single unit was calculated by multiplying the total plant cost by the power output of the unit relative to the total plant power output.†Only specific cost data for the Ringhals NPP and Oskarshamn NPP was found [11]Nuclear power plant construction time and cost comparison [11] [16] [12].

This layer contains over 34,000 power plant locations in hundreds of countries around the globe. Click on each power plant to view its:NameFuel type: hydro, solar, wind, gas, coal, oil, biomass, waste, nuclear, cogeneration, geothermal, petcoke, storage, wave and tidal, or otherCapacity (MW)Annual generation (GWh)Data sourceLink to more informationTo view additional information such as the data source year, geolocation source, latitude, and longitude, click on the table icon underneath the layer name. This feature layer employs Clustering which groups point features within a certain distance of one another into one symbol. When you zoom in, the clusters start to break up and greater point details are displayed. To view the popup for individual power plants, click on the cluster and select Browse Features. The Firefly symbology used for this layer works best with darker basemaps like the Firefly basemap, Nova basemap, or the Human Geography Dark basemap, all found in the Living Atlas of the World. This layer was created by the World Resources Institute and last updated in 2021. The dataset is updated by the World Resources Institute every 4 to 6 months. For more information, please contact Aaron Kressig at aaron.kressig@wri.org.

Top Countries' Share of Global Nuclear Power Consumption, 2016 Discover more data with ReportLinker!

Context

What are the biggest power plants around the world, where are they located, and which fuel types are they operating?

Content

Based on the annual ranking of the top 2000 public companies in the world compiled by World Resources Institute magazine, I have created this dataset. It covers approximately 30,000 power plants from 164 countries and includes thermal plants (e.g. coal, gas, oil, nuclear, biomass, waste, geothermal) and renewables (e.g. hydro, wind, solar).

WDCA Chernobyl Data consists of digital data set DSI-9681, archived at the National Centers for Environmental Information (NCEI). World Data Center for Meteorology (WDC-A), located in Asheville, North Carolina, is a meteorological data center in a worldwide network of data centers for the various sciences established to promote international exchange of scientific data. This particular dataset consists of meteorological data from the April 1986 disaster at the Chernobyl nuclear power plant in the Ukraine. Upper air observations may include: winds, dew points, and temperatures. Surface observations may include: temperatures, winds, humidity, pressure, water vapor, solar radiation, salinity, currents, sea ice, swells, and waves. Drifting buoy observations may include: sea surface temperature, salinity, currents, swells, and waves. Satellite sounding observations may include: thickness, precipitable water, or mean temperature for up to two vertical layers.

Oskarshamn is one of the municipalities being discussed as a possible site for disposal of nuclear waste from the Swedish nuclear power plants, and there has been inquiries made for a pilot study in the area. In view of this the local council of Oskarshamn appointed a ´Youth team´, consisting of ten young politicians from all political parties represented in the local council. The aim of the team was to inform and create debate among adolescents about how to store the radioactive waste from nuclear power plants. The purpose of this survey, addressed to young people in Oskarshamn, was to shed light on their opinion towards a pilot study and possible disposal of nuclear waste in Oskarshamn. The respondents had to answer questions about their opinion on the use of nuclear power in Sweden, if they believed nuclear power to be abolished by year 2010, and about their general interest in issues concerning energy and nuclear power. Other questions concerned risks associated with nuclear power, the influence different groups have/ought to have when it comes to disposal of nuclear waste, and if the respondent would accept a decision to dispose nuclear waste in Oskarshamn. A number of questions dealt with the suggested pilot study; if the respondent was for or against a pilot study; who should decide about the pilot study; if there had been enough information about the study; and if the respondent had attended any meeting, signed any petition, contacted any politician, contacted or participated in mass media, or tried to influence anyone´s opinion on any issue concerning the pilot study. The respondents also had to state the issues they considered to be important to study in a pilot study. Furthermore the respondents had to give their opinion about a number of risks discussed in connection with disposal of nuclear waste in Oskarshamn. Other questions concerned the influence on job opportunities and tourism. Demographic items include age, gender, marital status, children, education, occupation, and trade union membership.

Ukraine Power Plants Capacity: Nuclear Power Plants data was reported at 13,835.000 kW th in 2015. This stayed constant from the previous number of 13,835.000 kW th for 2014. Ukraine Power Plants Capacity: Nuclear Power Plants data is updated yearly, averaging 13,835.000 kW th from Dec 2011 (Median) to 2015, with 5 observations. The data reached an all-time high of 13,835.000 kW th in 2015 and a record low of 13,835.000 kW th in 2015. Ukraine Power Plants Capacity: Nuclear Power Plants data remains active status in CEIC and is reported by State Statistics Service of Ukraine. The data is categorized under Global Database’s Ukraine – Table UA.RB001: Power Plant Capacity.

Sources of Cost Overrun in Nuclear Power Plant Construction Call for a New Approach to Engineering Design

This layer contains over 28,000 power plant locations in 164 countries around the globe. Click on each power plant to view its:NameFuel type: hydro, solar, wind, gas, coal, oil, biomass, waste, nuclear, cogeneration, geothermal, petcoke, storage, wave and tidal, or otherCapacity (MW)Annual generation (GWh)Data sourceLink to more informationTo view additional information such as the data source year, geolocation source, latitude, and longitude, click on the table icon underneath the layer name. This feature layer employs Clustering which groups point features within a certain distance of one another into one symbol. When you zoom in, the clusters start to break up and greater point details are displayed. To view the popup for individual power plants, click on the cluster and select Browse Features. The Firefly symbology used for this layer works best with darker basemaps like the Firefly basemap, Nova basemap, or the Human Geography Dark basemap, all found in the Living Atlas of the World. This layer was created by the World Resources Institute and was last updated June 2018. The dataset is updated by the World Resources Institute every 4 to 6 months. For more information, please contact Aaron Kressig at aaron.kressig@wri.org.

Datasets with dissolved gases concentrations in power transformer oil for remaining useful life (RUL), fault detection and diagnosis (FDD) problems.

Introduction

Power transformers (PTs) are an important component of a nuclear power plant (NPP). They convert alternating voltage and are instrumental in power supply of both external NPP energy consumers and NPPs themselves. Currently, many PTs have exceeded planned service life that had been extended over the designated 25 years. Due to the extension, monitoring the PT technical condition becomes an urgent matter.

An important method for monitoring and diagnosing PTs is Chromatographic Analysis of Dissolved Gas (CADG). It is based on the principle of forced extraction and analysis of dissolved gases from PT oil. Almost all types of equipment defects are accompanied by formation of gases that dissolve in oil; certain types of defects generate certain gases in different quantities. The concentrations also differ on various stages of defects developing that allows to calculate RUL of the PT. At present, NPP control and diagnostic systems for PT equipment use predefined control limits for concentration of dissolved gases in oil. The main disadvantages of this approach are the lack of automatic control and insufficient quality of diagnostics, especially for PTs with extended service life. To combat these shortcomings in diagnostic systems for the analysis of data obtained using CADG, machine learning (ML) methods can be used, as they are used in diagnostics of many NNP components.

Data description

The datasets are available as .csv files containing 420 records of gas concentration, presented as a time dependence. The gasses are 𝐻2, 𝐶𝑂, 𝐶2𝐻4 и 𝐶2𝐻2. The period between time points is 12 hours. There are 3000 datasets splitted into train (2100 datasets) and test (900 datasets) sets.

For RUL problem, annotations are available (in the separate files): each .csv file corresponds to a value in points that is equal the time remaining until the equipment fails, at the end of record.

For FDD problems, there are labels (in the separate files) with four PT operating modes (classes): 1. Normal mode (2436 datasets); 2. Partial discharge: local dielectric breakdown in gas-filled cavities (127 datasets); 3. Low energy discharge: sparking or arc discharges in poor contact connections of structural elements with different or floating potential; discharges between PT core structural elements, high voltage winding taps and the tank, high voltage winding and grounding; discharges in oil during contact switching (162 datasets); 4. Low-temperature overheating: oil flow disruption in windings cooling channels, magnetic system causing low efficiency of the cooling system for temperatures < 300 °C (275 datasets).

Data in this repository is an extension (test set added) of data from here and here.

FDD problems statement

In our case, the fault detection problem transforms into a classification problem, since the data is related to one of four labeled classes (including one normal and three anomalous), so the model’s output needs to be a class number. The problem can be stated as binary classification (healthy/anomalous) for fault detection or multi class classification (on of 4 states) for fault diagnosis.

RUL problem statement

To ensure high-quality maintenance and repair, it is vital to be aware of potential malfunctions and predict RUL of transformer equipment. Therefore, it is necessary to create a mathematical model that will determine RUL by the final 420 points.

Data usage examples

• Dataset was used in this article.
• Dataset was used in this research by Katser et.al. that solves the problem proposing ensemble of classifiers.

The G7 is a forum designed for frank and open discussion between leaders, ministers and policy-makers. As a member of the G7, Canada plays a leading role on the international stage and is able to advance domestic and international priorities. The G7 provides global leadership and serves as a powerful catalyst on issues that are later taken up by other fora with broader global and regional membership. The G7 brings together the world’s advanced economies to influence global trends and tackle pervasive and crosscutting issues, as well as emergent global crises. The G7 has strengthened international economic and security policies, advanced discussion of global issues including climate change and gender equality, brought donors together and supported disarmament programs. Most recently, the G7 has worked to tackle the COVID-19 pandemic and respond to Russia’s illegal invasion of Ukraine. At the G7, Canada has advanced its domestic and international priorities, including gender equality, peace and security, climate change and building a sustainable global economy. Transparent and inclusive engagement with Canadian and international stakeholders has helped Canada to deliver on priorities that are important to Canadians.

This dataset contains information from SOM-survey 1993, the eighth study in a series of annual surveys. The questionnaire was divided into six subject fields: mass media; politics and society; energy, nuclear power and environment; Sweden and the rest of the world; leisure; and background. Many of the questions are replications of questions asked in previous SOM-surveys, but there is also a number of questions not asked in previous surveys. These questions deals with thoughts of giving up morning paper subscription; confidence in a number of Swedish mass media; impression of morning television; interest in a number of political areas; opinion on family policy; and opinion on a number of statements concerning the regional division of Sweden. The respondents also had to indicate how threatening they considered a number of environmental problem, and to give their opinion on how seriously a number of risks threaten their own life and health. Furthermore the respondents had to indicate the importance of a number of circumstances when giving refugees residence permit in Sweden, and also give their opinion on a number of statements occurring in the discussion about refugees and immigration.

Purpose:

The main purpose is to establish time series that enable researchers to analyse how various changes in society affect people's attitudes and behaviour.

On March 11, 2011, the Great East Japan Earthquake triggered a severe nuclear accident at the Fukushima Daiichi Nuclear Power Plant in Japan. The accident culminated in significant releases of radioactive contaminants into the environment beginning March 12, 2011. The emissions were of significant domestic concern in Japan and resulted in low but measurable levels of radioactive contaminants world-wide. The damaged nuclear power reactors in Japan do not pose a health risk to residents of British Columbia or the rest of Canada.

Uranium is a common element throughout the Earth’s crust, soils, and oceans. Uranium resources are naturally occurring deposits that may have a sufficient concentration of uranium to support mining operations. Canada has about 8% of the world’s unmined uranium resources, but accounts for some 25% of the global primary uranium production. Canada’s uranium mines are located in the Athabasca Basin of northern Saskatchewan, which has ore grades as high as 21% uranium metal, an order of magnitude larger than any other deposits in the world. The nuclear industry provides about 15% of Canada’s electrical power (50% of Ontario’s). The map shows districts with potential for uranium development, small occurrences of uranium, locations of uranium mines and facilities, and locations of nuclear facilities that generate electrical power.