Students use small mammal data from the National Ecological Observatory Network to understand necessary steps of data management from data collection to data analysis by re-organising excel sheets in an R-compatible format and doing basic analysis in R

This module introduces basic trigonometry calculations in the context of understanding tree height calculations. It is intended for an introductory biology audience.

Biostatistics Using R: A Laboratory Manual was created with the goals of providing biological content to lab sessions by using authentic research data and introducing R programming language to biology majors.

Investigate data standards within the context of the Alpine Chipmunk and the Grinnell Study.

A project to compare effects of a continuum of landscape alteration intensities on plant diversity, biomass, and ecosystem services, and to explore human socioeconomic connections to plants in the environment.

This project makes use of publicly-available datasets on lichen presence and abundance and wet deposition, paired with geospatial data on air quality, tree canopy cover, and locally collected field data, to better understand how lichens respond to changes

TIEE Module- How does nutrient pollution impact stream ecosystems locally and nationally? This is an adaptation of the module that includes statistical testing and links sections to a lab report writing.

This multi-part module aims to help you learn about water quality implications by understanding the variability of concentrations of nitrate in stream water through the evaluation of real-time data and identifying the reasons for this variability.

In this activity, students will explore a dataset of fungi dispersal capabilities and colonizing success to test the predictions of island biogeography theory.

Students observe insect pollinators and other floral visitors in their backyards, or campus, or nearby natural areas to describe plant-pollinator networks and assess how the assemblages from their sites compare to those in a range of landscapes.

This activity will explore how natural history specimen data can be used to investigate the relationship between precipitation levels in a region and species diversity of amphibians.

used this Spring 2020

This module assesses the role of wildfire in the eastern US and its impact on bird communities using NEON bird survey data from pre- and post- a major wildfire in the Great Smoky Mountains National Park (GRSM) in November 2016.

Access and clean an open source polar bear dataset using Excel.

Concepts of remote sensing and data logistics, and NEON remote sensing data are introduced. Students learn how to apply spatial data processing and visualization skills using R coding program to process NEON airborne data to address scientific questions.

phenology on-line

Jess Coyle using CODAP from 4DEE Extravaganza

Comparing forests in a Preserve CURE