The Public Utility Data Liberation Project provides analysis-ready energy system data to climate advocates, researchers, policymakers, and journalists.
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Updated
Jan 24, 2025 - Python
The Public Utility Data Liberation Project provides analysis-ready energy system data to climate advocates, researchers, policymakers, and journalists.
Tools for producing high-quality hourly generation and emissions data for U.S. electric grids
Library and API to calculate CO2 emissions for personal mobility.
Tools to calculate growth statistics for individual urban trees such as for estimating carbon storage.
Pyra: Automated EM27/SUN Greenhouse Gas Measurements
Emissions Spatial and Temporal Allocator model
Python module to calculate vehicle emissions based on the 2016 EU EEA guidebook: http://www.eea.europa.eu/publications/emep-eea-guidebook-2016. The module lets you calculate routes between two points in Norway and sort them based on the total emission for various types of pollutants.
SMOKE gridded emissions visualizer. Visualization and QA of CMAQ model emissions inputs.
This repository contains the test data and code used for the paper titled "Physics-Based Machine Learning Framework for Predicting NOx Emissions from Compression-Ignition Engine Powered Vehicles" that is submitted to the Applied Energy Journal
Gridded Aircraft Trajectory Emissions model
Schedule your tasks so there's not a sausage of CO2
Back-end for the eco-widgy app initiated at the 2019 Collabathon for the Open Climate Platform
Frictionless environmental data packages
Data Package of the Community Emissions Data System (CEDS)
Code to accompany research under Boston University's Campus Climate Lab program. Attempts to quantify BU employees' GHG emissions from air travel, using Python to scrape the ICAO flight emissions calculator site and R to analyze the resulting data.
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