Data quality reporting for temporal datasets.

TrendCatcher is an open source R-package that allows users to systematically analyze and visualize time course data. Please cite "Temporal transcriptomic analysis using TrendCatcher identifies early and persistent neutrophil activation in severe COVID-19" by Xinge Wang et al published in JCI Insight (2022) - https://insight.jci.org/articles/view…

Exercises for course on Data Science for Socio-Technical Systems

🇩🇪 ☀️ 🔋 Germany solar power generation analysis for Space-Time Statistics course CM0477

WIDEa (Web Interface for Data Exploration) is R-based software aiming to provide users with a range of functionalities to explore, manage, clean and analyse "big" environmental and (in/ex situ) experimental data.

Create diurnal trend for field campaign data along with some other useful functions

All of my R code from the Uncertainty Quantification IV module at Durham University

Code, data, and results for Richmond et al. Temporal variation and its drivers in the elemental traits of four boreal plant species. Manuscript published at the Journal of Plant Ecology.

This project utilizes NASA's MERRA-2 Model data and the ggplot2 R package to generate a line plot depicting anomalies in annual global mean temperatures from normalized values spanning 1980 to 2022.

This R project conducts statistical analysis & produces scatterplots / visuals based on monthly + annual Central Park precipitation data from 1860 to 2022.