carbon dioxide

Shiny app for interactive time-series processing

Recently, there was a need for a way to cut and manipulate some timeseries data that had been collected to quantify greenhouse gas emissions. After collection, it is necessary to manually explore the data and select parts of the time-series for further analysis. This was an obvious case for an R Shiny app that could easily be shared with others and used for interactive processing of the data. Furthermore, the short time from idea –> sketch –> prototype –> test –> deployment is just incredible.

Predicting carbon dioxide in Scandinavian stream networks

Using machine learning and GIS to predict carbon dioxide in streams

New method for measuring carbon dioxide flux

Developing an automatic floating chamber for carbon dioxide flux measurements

Towards a national freshwater carbon budget

Quantifying large scale carbon dioxide concentration and emission from freshwaters