Perseus Digital Library (JSON format) sample mini-corpus

Scripts from the sessions of the Introduction to R workshop 2019 at the University of Exeter.

Project design for monitoring and analysis the coronavirus outbreak trend across the countries By Herman Aguirre PhD Researcher at University of Exeter, UK.

This Python project contains useful functions to compute some of the Early Warning Signals for a regime shift, such as lag-1 autocorrelation and variance.

Exeter University ED demand forecasting work.

This contains code with intentional bugs to enable students to:

practise interacting with GitLab learn about python code

Code supporting Castanho et al., 2019 (Cell Reports)

Digital Corpus of Sanskrit for Cylleneus

Selection of streamlined codes used in `Predicting critical ignition in slow-fast excitable models'

Data files, model files, and modeling/simulation code related to paper "A triple star system with a misaligned and warped circumstellar disk shaped by disk tearing" (Science magazine, paper aba4633)