Environment Tools & Datasets for Python Data Engineering

Retrieve real-time and historical air quality data from locations around the world.

The World Bank provides free access to a wide range of economic, social and environmental data.

NOAA platform provides access to a vast collection of climate-related datasets, including historical weather data, climate observations, satellite imagery and climate model outputs.

The NCEI, part of NOAA, provides access to a wide range of environmental datasets, including climate data, weather observations, oceanographic data and geophysical data.

It offers a variety of datasets and reports covering global economic, social and environmental issues.

Eurostat, the statistical office of the European Union, offers a comprehensive database of statistical data covering various domains such as economy, population, employment, environment and social issues.

The OECD provides access to a wide range of economic, social and environmental data for its member countries and other regions.

The Global Carbon Atlas provides datasets and visualizations related to carbon emissions, sources, sinks and fluxes at global and regional scales.

Global Forest Watch provides datasets on forest cover, deforestation, forest fires and other forestry-related metrics worldwide.

Google Earth Engine hosts a vast collection of geospatial datasets covering topics such as land cover, land use, climate, vegetation indices and more.

Gapminder World provides datasets on global development indicators, including income, education, health, population and environmental factors.

GEM offers datasets on entrepreneurship, startup activity, innovation, business dynamics and entrepreneurial ecosystems worldwide.

EOSDIS provides access to a wide range of Earth observation datasets, including satellite imagery, climate data, land cover, oceanography and atmospheric data.