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.
OpenEMS - Open Source Energy Management System
Prevent oil and gas companies from co-opting your work and extracting more fossil fuels with this software license.
Dev jobs in the sustainability sector - be part of the solution, not the problem
A data utility for tracking climate action
Your climate action is here 🌎 Our API is a source for learning how climate change personally affects you and the things you care about most. Additionally, it will teach a scientifically proven method for communicating to others that climate change is a personally relevant issue to inspire action.
Statistical dowscaling of climate data at daily scale using quantile mapping (QPM) technique.
This repo contains the data used in "Towards Understanding Climate Change Perceptions: A Social Media Dataset"
3D-CMCC-FEM code
Computers, humans, the overlap, and remote work.
The internet's new cool-enhancing standard in sustainability.
Crypto Reward Courts
From Data Chaos to Clarity: Creating Your Code for Efficient Literature Review (ChatGPT-based)
Mapping the Landscape of AI, ML, and DL in Climate Change Research
Carbon Clock is an estimation of how much CO2 can be released into the atmosphere to limit global warming to a maximum of 1.5°C.
Visualize climate change since 1950 for your home town
R code for Zohner et al. (2023)
R.Weather CDMS, es un sistema computacional que integra colecciones de datos y su representación espacial, facilitando el registro, manejo, análisis, distribución y utilización de datos hidroclimatológicos.
Understand public opinion toward the Paris Agreement and Green New Deal by analyzing Twitter data with natural language processing techniques.
Lecture, essay, thoughts, slides -- a talk about the carbon cycle; how it works, how we screw it up, etc.
This is a repository keeping the project of the Data Product Management Nano Degree. In this project, we apply data science techniques, data engineering processes, and market experimentation tests to deliver customized product experiences. Additionally, you’ll begin by using the power of SQL and Tableau to inform product strategy.
Created by Humanity