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Browse 13 datasets tagged with Environment for Python data engineering.
Environmental datasets cover climate change metrics, air quality, greenhouse gas emissions, deforestation, ocean temperatures, and biodiversity indicators. Python data engineers use environmental data for climate analytics pipelines, sustainability reporting systems, carbon accounting, and building environmental monitoring dashboards.
Retrieve real-time and historical air quality measurements including PM2.5, PM10, ozone, NO2, and CO
Access 16,000+ development indicators from the World Bank covering GDP, poverty, health, education,
NOAA platform provides access to a vast collection of climate-related datasets, including historical
The NCEI, part of NOAA, provides access to a wide range of environmental datasets, including climate
The World Economic Forum publishes datasets and reports covering global competitiveness, gender pari
Eurostat, the statistical office of the European Union, offers a comprehensive database of statistic
The OECD provides macroeconomic, social, and environmental datasets for 38 member countries includin
Provides datasets on global and regional CO2 emissions from fossil fuels and land use, carbon sinks
Global Forest Watch provides satellite-derived datasets on forest cover change, deforestation alerts
Google Earth Engine hosts a vast collection of geospatial datasets covering topics such as land cove
Gapminder provides clean, long-run historical datasets on 500+ global development indicators includi
The Global Entrepreneurship Monitor publishes annual datasets on startup activity, entrepreneurial a
EOSDIS provides access to a wide range of Earth observation datasets, including satellite imagery, c