Exercises for course on Data Science for Socio-Technical Systems

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.

Data quality reporting for temporal datasets.

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

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

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.

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…

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.

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