The Public Utility Data Liberation Project provides analysis-ready energy system data to climate advocates, researchers, policymakers, and journalists.
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Updated
Nov 6, 2024 - Python
The Public Utility Data Liberation Project provides analysis-ready energy system data to climate advocates, researchers, policymakers, and journalists.
EDGE Source Code
Python toolkit for characterizing Coal and Open-pit surface mining impacts on American Lands
A single & unified source of all source codes & helping material in learning the Intel 8088 assembly language using DOSBOX as an emulator
这是一个使用Ionic2开发的集数据展示,交易,交流于一体的APP
This is the accompanying repository for the Bloomberg Global Coal Countdown website.
Monitoring of machinery and people within 2d & 3d geo objects for coal mines
Snake and Apple game is a Computer Organization and Assembly Language (COAL) project.
Geospatial Data Analysis for detecting and analyzing coal mines.
Fullstack Steam clone built with Ruby on Rails, PostgreSQL, and React.js
This is a online Cash and Carry Project, implemented in Assembly language.
This repository contains a large number of assembly programmes that I created throughout my Bachelor's semester. There are also readme files connected to each lab that explain which lab contains which questions. Enjoy learning and give the repository a like if it helped you with coding.
The Character Frequency Calculator, part of the Coal Project, is an x86 assembly program that analyzes user-inputted strings, displaying character frequencies in binary, decimal, or hexadecimal formats. The `cproj.asm` file structures the project.
Practice of codes for Computer Organization and Assembly Language
Insights drawn for Bangladesh from the global power plant database.
Boiler Direct & Indirect Efficiency calculator with Fuel imbalance and Fuel accounting
He, Gang, Jiang Lin, Ying Zhang, Wenhua Zhang, Guilherme Larangeira, Chao Zhang, Wei Peng, Manzhi Liu, and Fuqiang Yang. 2020. “Enabling a Rapid and Just Transition Away from Coal in China.” One Earth 3 (2): 187–94. https://doi.org/10.1016/j.oneear.2020.07.012
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