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Download and process GOES-16 and GOES-17 data from NOAA's archive on AWS using Python.
lang: Python
stars: 241
last activity:
A modular open source multi-regional model incorporating the economy, the climate system and a detailed representation of the energy sector.
lang: GAMS
stars: 117
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Gives you access to real-time and historical surface-based weather and environmental observations for thousands of stations.
lang: Python
stars: 71
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Provides a neutral and ontology-driven standard for government agencies, industry, nonprofits and consumers to name and reference food products and their components throughout the food supply chain.
lang: Python
stars: 203
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Download and process satellite imagery in Python using Sentinel Hub services.
lang: Python
stars: 866
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Search, download or stream NASA Earth science data with just a few lines of code.
lang: Python
stars: 556
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Data Analysis and Visualization in Python for Ecologists.
lang: Jupyter Notebook
stars: 168
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Provides an overview of methods we can use to study agricultural development decisions and generate forecasts of decision outcomes.
lang: HTML
stars: 24
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Explore how your values and personal interests are being affected by climate change and shows you attractive solutions exist that you may not be aware of.
lang: Python
stars: 23
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A domain ontology of the energy-system modeling context.
lang: Python
stars: 131
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This Cookbook is learning-oriented to support scientific researchers using NASA Earthdata from Distributed Active Archive Centers as they migrate their workflows to the cloud.
lang: Jupyter Notebook
stars: 101
last activity:
A Python package that provides a simple way to use nighttime lights data from NASA's Black Marble project that provides a product suite of daily, monthly and yearly global nighttime lights.
lang: Jupyter Notebook
stars: 48
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Fighting global poverty with the help of everyday people and your coding skills.
lang: HTML
stars: 128
last activity:
A web / mobile Tycoon-style game teaching about electricity production and consumption.
lang: TypeScript
stars: 12
last activity:
Help us build the most accessible and accurate climate tech resource on the planet.
lang: Jupyter Notebook
stars: 84
last activity: