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A community-driven ontology for the representation of environments.
lang: Makefile
stars: 124
last activity:
Collect, normalize and integrate climate and ESG data from public and private sources.
lang: Unknown
stars: 18
last activity:
A collection of Python utilities for retrieving atmospheric and oceanic data from remote sources, focusing on being able to retrieve data from Unidata data technologies.
lang: Python
stars: 210
last activity:
Help us build the most accessible and accurate climate tech resource on the planet.
lang: JavaScript
stars: 62
last activity:
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: 15
last activity:
Download and process satellite imagery in Python using Sentinel Hub services.
lang: Python
stars: 776
last activity:
Download and process GOES-16 and GOES-17 data from NOAA's archive on AWS using Python.
lang: Python
stars: 163
last activity:
Primarily designed to run 'bottom-up' calculations that model the impact of climate hazards on large numbers of individual assets including natural and operations.
lang: Python
stars: 18
last activity:
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: 165
last activity:
A platform to build useful communities that aim to tackle social and environmenta problems.
lang: TypeScript
stars: 971
last activity:
Discover a meaningful way to contribute to open source projects focused on climate technology and sustainability.
lang: TypeScript
stars: 27
last activity:
R tools to access open data from Eurostat, the statistical office of the European Union.
lang: R
stars: 229
last activity:
An R package for automatic download and preprocessing of MODIS Land Products Time-Series.
lang: R
stars: 152
last activity:
Gives you access to real-time and historical surface-based weather and environmental observations for thousands of stations.
lang: Python
stars: 40
last activity:
A tool to identify disadvantaged communities due to environmental, socioeconomic and health burdens.
lang: Jupyter Notebook
stars: 118
last activity: