Long list of climate & sustainable AI datasets, resources, and tools.
If you happen to discover something new, find out issues with the current lists, and would like to contribute, feel free to:
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Create a Pull Request with suggested changes, as described here.
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Create an Issue which include
- link to the resource
- short description of the issue
- DataHub - Data repository for climate change policy (commitments, carbon price) and state of the world (carbon, human population, sea level, etc).
- ERA5 Reanalysed - Meteorological global forecast data which combines observations and modelling output at 0.25-degree spatial & hourly temporal resolutions.
- CHIRPS2 - Quasi-global rainfall dataset at 0.05-degree and 0.25-degree resolutions.
- Indonesia's Meteorology - Historical meteorological data (temperature, wind, humidity, precipitation, etc) from Indonesia's 160+ weather stations.
- SDG661's Water Ecosystem - Global and basin-level timeseries data on water-related ecosystem.
- USGS Earth Explorer - Satellite datasets repository (Landsat 7 & 8, Sentinel-2, MODIS, ASTER, etc).
- Singapore's Urban Data - Singapore's urban datasets.
- SMAP: NASA’s Soil Moisture Active Passive Data - Low resolution soil moisture maps.
- PSL Climate Indices - Monthly atmospheric and ocean time-series such as NINA3.4 index.
- XView - Publicly available datasets of overhead imagery that contains images from complex scenes around the world, annotated using bounding boxes.
- Functional Map of the World - Satellite-image datasets with more than one million points of interest from around the world.
- RSI-CB - Large scale remote sensing image classification benchmark via crowdsourced POI and landuse data.
- NWPU-RESISC45 - Benchmark for Remote Sensing Image Scene Classification (RESISC), created by Northwestern Polytechnical University (NWPU) that contains 31,500 images, covering 45 scene classes with 700 images in each class.
- Driven Data - Data Science competition which focuses on social impacts.
- ZIND - Data Science competition which focuses on Africa.
- MatterMore - Connecting people to solve grand challenges of the century.
- pyETo - Calculating reference crop evapotranspiration (ETo) from popular models including FAO-56 Penman Monteith.
- Hector - Object-oriented, simple global climate carbon-cycle model.
- GCAM - Global model that represents the behavior of, and interactions between five systems: the energy system, water, agriculture and land use, the economy, and the climate.
- Land-use Classification - Land use and land cover classification using Sentinel-2 satellite images using CNN.
- Poverty Prediction - Predicting poverty using machine learning approaches and satellite imageries.
- PAWS - Adversary behavior modeling and forecasting for wildlife management.
- OpenABM-Covid19 - Agent-based model for modelling the Covid-19 epidemic.
- Climate Change AI - Bringing together stakeholders to solve climate change with machine intelligence, through collaboration, events, and knowledge-sharing.
- Stanford Woods Institute for the Environment - Producing breakthrough environmental knowledge and solutions that sustain people and planet today and for generations to come.
- Cornell's Computational Sustainability - Research network that focuses on applying cross-cutting computational topics on sustainability.
- MIT Senseable City Lab - Research group specializes in urban analytics and social innovation through design & science.
- Open Source Climate - Open Source collaboration community to build a software platform that will dramatically boost global capital flows into climate change mitigation and resilience.
- Global Warming I - Free online class describing the science of global warming and the forecast for humans’ impact on Earth’s climate.
- Global Warming II - Free online class that provides a series of Python programming exercises intended to explore the use of numerical modeling in the Earth system and climate sciences.