This dataset offers a detailed comparison of key global players like USA, Russia, China, India, Canada, Australia, and others across various economic, social, and environmental metrics. By comparing countries on indicators such as GDP, population, healthcare access, education levels, internet penetration, military spending, and much more, this dataset provides valuable insights for researchers, policymakers, and analysts.

🔍 Key Comparisons:

Economic Indicators: GDP, inflation rates, unemployment rates, etc. Social Indicators: Literacy rates, healthcare quality, life expectancy, etc. Environmental Indicators: CO2 emissions, renewable energy usage, protected areas, etc. Technological Advancements: Internet users, mobile subscriptions, tech exports, etc. Military Spending: Defense budgets, military personnel numbers, etc. This dataset is perfect for those who want to compare countries in terms of development, growth, and global standing. It can be used for data analysis, policy planning, research, and even education.

✨ Key Features:

Comprehensive Coverage: Includes multiple countries with key metrics. Multiple Domains: Economic, social, environmental, technological, and military data. Up-to-date Information: Covers data from the last decade to provide recent insights. Research Ready: Suitable for academic research, visualizations, and analysis.

Context

The purpose behind this dataset was, initially, to visualize, compare and understand how emerging economies are developing, both in relation to each other and internally. Since the data provided by The World Bank is very insightful, I've decided to gather it in a standardized and updated format and upload it, so others can also provide us with better analysis and, perhaps, better insights into each country's economies.

Content

This dataset contains 5 files: Economy, EducationAndEnvironment, HealthAndPoverty, PrivateSector and PublicSector data. All files are formatted in the following structure:

SeriesName | SeriesCode | CountryName | CountryCode | Year | Value

Acknowledgements

The data present in this dataset is only possible due to the work and services of https://databank.worldbank.org.

Inspiration

Is it possible to extract some fundamental correlations between emerging economies and their impacts on social welfare? What are the relations between a country's education expenditure and their employment rate? What other aspects of society can we better understand through this data and avoid common pitfalls that have occurred to other countries?

China Exports to Russia was US$115.28 Billion during 2024, according to the United Nations COMTRADE database on international trade. China Exports to Russia - data, historical chart and statistics - was last updated on December of 2025.

Dataset Card: deepseek_geopolitical_bias_dataset

  Dataset Summary

The deepseek_geopolitical_bias_dataset is a collection of geopolitical questions and model responses. It focuses on historical incidents spanning multiple regions (e.g., China, India, Pakistan, Russia, Taiwan, and the USA) and provides an in-depth look at how different Large Language Models (LLMs), including DeepSeek, respond to these sensitive topics. The dataset aims to support research in bias detection… See the full description on the dataset page: https://huggingface.co/datasets/enkryptai/deepseek-geopolitical-bias-dataset.

Relative pollen productivity (RPP) estimates allow to recalculate vegetation cover from pollen counts. This dataset contains: a comprehensive compilation of available RPP studies and their data including information on the study design and models used to calculate the RPP values in the original studies. taxonomically harmonised RPP datasets for America (including Greenland), Europe (including Arctic Russia), China and one combined for the whole Northern hemisphere extratropics built out of the available studies. fall speeds, which are necessary to reconstruct vegetation cover out of pollen counts and RPP values. We advise the user to read the manuscript doi:10.5194/essd-2019-242 accompanying the dataset prior to use especially the taxonomically harmonised datasets.

Biodiversity of the Altai-Sayan ecoregion (bioaltai-sayan.ru). The database contains an information on the biological diversity of the Altai-Sayan ecoregion (ASER) within the territories of Russia, Mongolia, China and Kazakhstan. The database reflects the current generally accepted systematic classification and is organized as a list of biological objects (animals, plants, mushrooms) that are represented on the territory of the ASER. The database contains the Russian and Latin names of the species, its distribution within individual countries and their administrative units, and landscape (ecosystem) units, within the boundaries of ASER. Characteristics of the species include distinctive morphological characters, its place in the accepted classification groups by distribution (rare, endemic, etc.), as well as statuses in the Red Data Books of Russian Federation (9), RSFSR, Mongolia, China, Kazakhstan and the IUCN list. To date, the database contains the information on more than 7000 species of animals, plants and mushrooms, represented by 15 items. For the most species, distribution maps and photographs are given.

China Imports from Russia was US$129.88 Billion during 2024, according to the United Nations COMTRADE database on international trade. China Imports from Russia - data, historical chart and statistics - was last updated on December of 2025.