Mendeley Data Showcase

Data and Code to accompany McKitrick, R (2025) "Consistent Climate Fingerprinting"

R Code and data files for updated figures in 2025 DoE Report

Respons mahasiswa BINUS University terhadap kebersihan limbah puntung rokok dan kebersihan parkiran timur di BINUS University @ Alam Sutera. Berdasarkan hasil wawancara yang telah dilakukan, mahasiswa BINUS University @Alam Sutera merasa tidak nyaman akan limbah puntung rokok yang berserakan di area parkiran timur. Para responden menyatakan bahwa meningkatnya puntung rokok tersebut sering terjadi di saat jam istirahat dan jam makan siang. Limbah puntung rokok yang berserakan itu berdampak juga pada citra kampus, kebersihan lingkungan, dan kenyamanan bagi orang sekitar. Mengetahui hal ini, para respoden merasa bahwa masalah ini harus ditangani secepatnya.

Data and code for Section 6.4 of the CWG25 Report.

The XLSX file contains the daily precipitation records for the indicated locations. The proxy.txt file ccontains the 2,000-year proxy records for the PC and SE regions. The Rcode.txt file reads these inputs (they need to be in a relative subdirectory /data/) and generates the outputs shown in the paper, with parameters (start date, optional calculations) selected.

The R code generates all tables and figures for the paper.

This folder contains the main executable files for the LFX Canadian Model version 6.0 including CGE search system, nesting functions and commands to generate the output. Some of the input data are included but the base data files are over 2 Gb and can be obtained from Statistics Canada (provincial IO tables). Current technical description is posted at https://www.lfxassociates.ca/publications.html. This is not turnkey, executable code because there are many policy parameters that need to be chosen and placed in input files to characterize the policy experiment.

R code and data. See README.txt for description and instructions.

The file 00.nonstationarity.control.R contains instructions. It is the control code that calls the other program files and generates the output. Some options can be toggled on or off to speed up execuation.

CMIP6 and observational data for trend comparisons in the lower- and mid-troposphere