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 estimating small mammal population sizes using the Lincoln-Peterson model.
data management, spreadsheets, small mammals community dynamics, NEON, Capture mark-recapture, National Ecological Observatory Network, introductory, Lab, Online course, Teaching material, Lecture, Undergraduate, Homework, Advanced, Majors, Non-majors, 1 Hour
2.1K
935
2
0
06.2018

Large Datasets in R - Plant Phenology & Temperature Data from NEON

Megan A. Jones, Lee F. Stanish, Natalie Robinson, Katherine D. Jones, Cody Flagg

Version: 1.0

This module series covers how to import, manipulate, format and plot time series data stored in .csv format in R. Originally designed to teach researchers to use NEON plant phenology and air temperature data; has been used in undergraduate classrooms.
data in the classroom, tool:rstudio, phenology, data management, NEON, temperature, introductory, Lab, Online course, Teaching material, Undergraduate, Faculty, Homework, Graduate, Advanced, Majors
1.7K
390
1
0
05.2018
This lesson focuses on ways that scientists identify and use data to understand ecological disturbance events using data from five public datasets. The main lesson focused on interpretation of figures, while optional coding extensions teach R skills.
data in the classroom, data interpretation, precipitation, stream discharge, Palmer Drought Severity Index, lidar, Ecological Disturbance, disturbance ecology, High School, Undergraduate, 1 Hour, More than 1 hour
1.6K
551
2
0
02.2018

Products from the NEON Data Education Faculty Mentoring Networks

Intro to Data Types and Graphing Lab

Stephanie Spera

Version: 2.0

This is the third lab in an Introductory Physical Geography/Environmental Studies course. It introduces students to different data types (qualitative vs quantitative), basic statistical analyses (correlation analysis s, t-test), and graphing techniques.
introductory, Lab, Teaching material, Undergraduate, Dataset, Raw, Cleaned, Majors, Non-majors, More than 1 hour, Promoting Engagement and Self-Efficacy
883
435
0
0
10.2020
Students build on fundamental concepts of spatial patterns and combine this knowledge with the open-data from the National Ecological Observatory Network to quantify spatial autocorrelation and complexity.
R, R Markdown, landscape ecology, group-neon2018, spatial statistics, fractals, rasters, Teaching material, Undergraduate, Dataset, Cleaned, Graduate, Advanced
881
231
0
0
07.2020
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.
R, landscape, biomass, Problem Solving, raster raster data processing, spatial data visualization, vegetation indices, canopy, introductory, Lab, Teaching material, Lecture, Undergraduate, Dataset, Cleaned, Graduate, Advanced, Majors, Non-majors, More than 1 hour, Extended Project, Promoting Engagement and Self-Efficacy
793
379
0
0
06.2020
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.
data manipulation, species richness, ANOVA, species diversity, birds, wildfire, BACI design, Lab, Teaching material, Lecture, Undergraduate, Dataset, Raw, Graduate, Advanced
28.6K
698
0
0
12.2019

Mosquito Vector Ecology of the East Coast using NEON

Courtney Campany, David Kang

Version: 1.0

This data module examines the relationship between mosquito vector ecology and climate across the east coast of the United States. The module is designed to merge core concepts in ecology with budding interests of the largely pre-heath student body.
introductory, Lab, Teaching material, Lecture, Reference material, Undergraduate, Dataset, Homework, Raw, Cleaned, Majors, Non-majors, 1 Hour, Classroom Climate, Promoting Engagement and Self-Efficacy
588
506
0
0
12.2019
This lesson focuses on understanding metadata, the data about the data, using aquatic macroinvertebrate abundance and species information from a variety of NEON sampling locations.
data management, Spreadsheet, metadata, introductory, Lab, Online course, Teaching material, Lecture, Reference material, Undergraduate, Dataset, Homework, Advanced, Majors, Non-majors
1.2K
308
0
0
09.2019

Data simulation and randomization tests

James S. Santangelo

Version: 1.0

A participatory live-coding lesson on simulating data and performing randomization tests on ecological data in R.
introductory, Teaching material, Lecture, Reference material, Undergraduate, Dataset, Cleaned, Graduate, Advanced, Majors, More than 1 hour
732
421
0
0
01.2019
A participatory live-coding lesson on working with NEON phenology data and fitting a sine-wave model to determine when different species get and lose their leaves.
modeling, R, phenology, NEON, Rstats, code, participatory live-coding, Lab, Teaching material, Lecture, Undergraduate, Advanced, More than 1 hour
1.2K
770
0
0
12.2018
Natural disasters and subsequent ecological disturbance events illustrate the complexity of problems in ecology and environmental science, and can be used as effective teaching tools. Unpacking the diverse real-world factors leading up to events offers op
data in the classroom, data interpretation, Temperature Change, precipitation, Palmer Drought Severity Index, Ecological Disturbance, disturbance ecology, introductory, Lab, Teaching material, Lecture, Undergraduate, Majors, Non-majors, 1 Hour, More than 1 hour
1.1K
825
0
0
12.2018
This resource uses an app hosted on QUBES to visualize similarities and differences in Quercus phenology at three NEON sites in California, Florida, and Massachusetts.
ecology, phenology, introductory, Teaching material, Undergraduate, Majors, Non-majors, 1 Hour
1.5K
443
0
0
06.2018

Environmental Drivers of Ecosystem Carbon Fluxes from Minutes to Years

Christopher Gough, Cindee Giffen, Thomas W Woodward

Version: 1.0

Students build on fundamental concepts of ecosystem production and carbon cycling, combining this knowledge with open long-term data from ecological and meteorological networks to uncover the environmental drivers of carbon fluxes.
climate change, carbon, Plant Ecology, Biogeochemistry, carbon cycling, productivity, net ecosystem production, gross primary production, ecosystem respiration, carbon fluxes, introductory, Teaching material, Undergraduate, Graduate, Advanced, Majors, More than 1 hour, Extended Project
2.2K
823
0
0
06.2018
This adaptation introduces students to R and the NEON OS & IS data – Plant Phenology & Temperature tutorial. A planned extension will prompt students to develop a testable hypothesis, based on their tutorial insights, that could be investigated locally.
data in the classroom, tool:rstudio, phenology, data management, NEON, temperature, Lab, Online course, Teaching material, Undergraduate, Faculty, Homework, Advanced, Extended Project
1.5K
579
0
0
06.2018

CyVerse Tutorials for NEON Data Science Institute 2018

Tyson Lee Swetnam, Megan A. Jones

Version: 1.0

Resource for conducting data intensive research on CyVerse
Tutorial, Reference material, Abstract, Workshop material
1.1K
286
0
0
06.2018
This adaptation consists of three exercises that introduce students to 1) format spreadsheet data tables, 2) carry out spreadsheet quality control, and 3) count/sort/filter data of interest in order to conduct a pilot analysis on NEON small mammal data.
data management, spreadsheets, mammals, Capture mark-recapture, Teaching material, High School, Undergraduate
1.4K
550
0
0
05.2018

In addition to the resources shared on QUBESHub, FMN participants have shared the following modules on other platforms: 


Products from the EREN-NEON Flexible Learning Projects collaboration

Lichens in Diverse Landscapes: EREN-NEON Flexible Learning Project

Danielle Garneau, Matthew Joshua Heard, Mary Beth Kolozsvary

Version: 1.0

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
NEON, National Ecological Observatory Network, introductory, Teaching material, High School, Undergraduate, Graduate, Advanced, Majors
618
159
9
0
08.2020
This project explores the role of human land use and other environmental factors that affect native and invasive mosquito species distributions and the diseases that they can vector.
401
122
0
0
08.2020
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.
NEON, National Ecological Observatory Network, introductory, Lab, Online course, Teaching material, High School, Undergraduate, Graduate, Advanced, Majors, Extended Project, Promoting Engagement and Self-Efficacy, Leveraging Networks, Accessibility
632
163
1
0
08.2020
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.
eren, NEON, diversity, biomass, 4DEE Framework, ecosystem, socioeconomic effects, Teaching material, Undergraduate, Extended Project
449
157
1
0
08.2020
Created by Megan A. Jones Patterson Last Modified Tue August 18, 2020 4:55 pm by Megan A. Jones Patterson

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