Skip the build if the carbon index is high
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Updated
Jul 12, 2024 - Python
Global climate change refers to the rise of earth's temperature, caused by human factors. It originates from the greenhouse effect of certain gases in our atmosphere like carbon dioxide (CO2) or methane (CH4) that block the escaping heat. The concentration of these gases has risen dramatically by human impact since the mid of the 20th century, with the burning of fossil fuels (oil and gas) and deforestation being main causes of this rise. The observed and expected effects include more and longer periods of draught, wildfires and an increased number of extreme weather events.
Skip the build if the carbon index is high
A directory and analysis of the open source ecosystem in the areas of climate change, sustainable energy, biodiversity and natural resources.
Built in Public CO2 Emissions Tracker for Various Websites
Accélerer la mise en place de l'affichage environnemental
We Are Action For World A Youth-Led Non Profit Organization Working Towards Spreading Awareness About Climate Change, Educating About Climate Change And Environmental Science.
The EnviroGas app and database are being designed to track and monitor CO2 and methane emissions in the oil and gas sector.
Экопрограммист
Python script that generates charts of global and national emissions and energy systems, using data from GCP, NOAA ESRL, EI, and IEA. These are published on the website below -
Support Sustainable Computing to provide customer with metrics for their carbon footprint workload
A data model and a viewer for carbon footprint scenarios.
Cloud Carbon Footprint is a tool to estimate energy use (kilowatt-hours) and carbon emissions (metric tons CO2e) from public cloud usage
This project analyzes greenhouse gas emissions data by country over the years. The goal is to identify trends and patterns in emissions across different nations, providing insights into the global distribution of greenhouse gas emissions.
Control carbon emission of your cloud infrastructure - Carbon-aware cloud infra
Carbon characteristics of Google Cloud regions
Tool to help you pick a Google Cloud region considering carbon footprint, price and latency.
A tool for estimating the future energy use, carbon emissions, and capital and operating cost impacts of energy efficiency and demand flexibility technologies in the U.S. residential and commercial building sectors.
4th year final year project
Baseline methodologies to compute the carbon absorption of regeneration projects.
Created by Humanity