Data on CO2 and greenhouse gas emissions by Our World in Data
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Updated
Jun 26, 2024 - Python
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
The 2021 CARGO (Consumer Awareness of Real GHG Output) Hackathon (October 23-24, 2021) aims to create solutions to the problem of embedded greenhouse gas emissions created by the transportation sector, which accounts for the largest share of GHG emissions in the USA. We built a command line tool for calculating carbon emissions for domestic carg…
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.
RE-emission is a collection of methods for calculating GHG emisisons from reservoirs
A PACT Conformant implementation of the PACT Data Exchange Protocol/Pathfinder Network in Python.
Let's explore how publicly-available data provided by the U.S. EPA's GHGRP can be used for energy analysis.
National Measurement, Reporting and Verification (MRV) Tool for Paris Agreement. Code coordinated by ExO/CDO & BPPS/Climate. Collaboration with D4C.
An implementation of the PACT Pathfinder Network Data Model in Python.
Power BI dashboard of global greenhouse gas emissions data
A streamlit app to see impact of humanity on global scale
Collection of notebooks accompanying a research paper on evaluating GHG emissions from hydroelectric, multipurpose and irrigation reservoirs in Myanmar
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.
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.
Visualisation of greenhouse gas emissions
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