Data wrangling

We created an interactive dashboard and data wrangling and archiving pipeline for the Campus Living Lab Green Stormwater Infrastructure project.

In collaboration with the National Phenology Network, we are creating an analytical pipeline to estimate spatial trends in the time to reach different thresholds of growing degree days in the Northeastern USA.

We are working with David More and Yang Li of the School of Natural Resources & the Environment to build an analytical pipeline characterizing uncertainty in estimates of above-ground biomass, to help stakeholders make informed decisions about which data products to use for their needs.

Improved data sharing and search features for the SPARC’d application that manages data from trail cams used to monitor endangered wildcats and other wildlife.

We coached the RainMan team on best practices in data management and reproducible research.

Automated categorization of rangeland science publications using natural language processing to help rangeland managers find the information they want.

Analysis and interactive visualization of volatile organic compound (VOC) time series data.

We joined a cross-institutional collaboration to convert pre-existing agricultural datasets to a standardized format and create an Agricultural Research Data Network, to improve the findability and resuability of agricultural data.

We created a QA/QC dashboard to quickly spot potential errors in weather data collected by AZMet