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TopicTracker is a Python pipeline intended to streamline and simplify the retrieval and exploration of large amounts of PubMed entries. The software is divided into four Jupyter notebooks: 1. Search and download; 2. Content analyser; 3. Interactive data exploration; 4. Semantic networks.

Scripts to import and evaluate data from LI-COR 6800 instrument. Published at https://zenodo.org/records/8213124

This repository contains the code for the publication: "A three-stage model pipeline predicting regional avalanche danger in Switzerland (RAvaFcast v1.0.0): a decision-support tool for operational avalanche forecasting"

This contains the notebook for the presentation of the paper: "Controlling the false discovery rate via knockoffs.", The Annals of Statistics, 2015 by Barber, Rina Foygel, and Emmanuel J. Candès.

A renku tutorial project.

This is a project to compute leaf energy balance components and simulate steady-state conditions.