Data on CO2 and greenhouse gas emissions by Our World in Data

Code Repository for: "Characterization of Industrial Smoke Plumes from Remote Sensing Data", presented at Tackling Climate Change with Machine Learning workshop at NeurIPS 2020.

Library and API to calculate CO2 emissions for personal mobility.

Adapted ISO13790 hourly dynamic building energy simulator (DIBS) for single buildings and building stocks - Ready to use with ENOB:dataNWG interview and on-site inspection data for the simulation of German building stocks.

Python package to calculating forcing from continuous GHG emissions

UNDP has developed the open-source National Climate Transparency Platform (NCTP) to help countries efficiently and securely compile and report information on climate change actions, progress, and support following the Paris Agreement’s Enhanced Transparency Framework (ETF).

PyKGML is a Python library to facilitate the development of knowledge-guided machine learning (KGML) models in agriculture and forestry

A handbook and library to access the Climate TRACE dataset

A Grafana panel to monitor the carbon footprint of AWS, GCP and Azure instances. Maintains a list of data centres and their energy sources, and computes CO2e emissions by sampling energy consumption of CPU, GPU and DRAM.

Let's explore how publicly-available data provided by the U.S. EPA's GHGRP can be used for energy analysis.

An implementation of the PACT Pathfinder Network Data Model in Python.

Collection of notebooks accompanying a research paper on evaluating GHG emissions from hydroelectric, multipurpose and irrigation reservoirs in Myanmar

A streamlit app to see impact of humanity on global scale

INPE-EM system (INPE – Emission Model) is a software of the National Institute of Space Research (INPE) that aims to make available annual estimates of greenhouse gas (GHG) emissions by land cover changes in Brazil in an explicit spatial way.

Visualisation of greenhouse gas emissions

Supplemental files accompanying McTigue, N.D., Q.A. Walker, & C.A. Currin (2021) "Refining estimates of greenhouse gas emissions from salt marsh “blue carbon” erosion and decomposition."

Analysis of green house emissions from 1990-2014 with line charts and map using React JS.

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.

An online marketplace for the carbon market

Python tool for generation of global and national energy system charts, using data from the Global Carbon Project, the National Oceanic and Atmospheric Administration, the Energy Institute and the International Energy Agency.