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Lichens in Diverse Landscapes: EREN-NEON Flexible Learning Project
18 Aug 2020 | Teaching Materials | Contributor(s):
By Danielle Garneau1, Matthew Joshua Heard2, Mary Beth Kolozsvary
1. SUNY Plattsburgh 2. Winthrop University
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...
Mosquito Surveys Along Anthropogenic Impact Gradients: EREN-NEON Flexible Learning Project
By Allison T Parker
Northern Kentucky University
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.
Backyard Beetles + Pollinators: EREN-NEON Flexible Learning Project
By Kaitlin Stack Whitney
Rochester Institute of Technology
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...
Data management and introduction to QGIS and RStudio for spatial analysis
22 May 2020 | Datasets | Contributor(s):
By Meghan Graham MacLean
University of Massachusetts Amherst
Students learn about the importance of good data management and begin to explore QGIS and RStudio for spatial analysis purposes. Students will explore National Land Cover Database raster data and...
Diversity, Equity, and Inclusion in Ecology: Introducing the Environmental Data Science Inclusion Network (EDSIN)
21 May 2020 | Teaching Materials | Contributor(s):
By Alycia Crall1, Carrie Diaz Eaton2, Megan A. Jones1, Claire Lunch1, Katherine Jones3
1. National Ecological Observatory Network 2. Unity College 3. NEON / Battelle
The Environmental Data Science Inclusion Network (EDSIN) was launched in the spring of 2019 following an NSF INCLUDES conference. This poster, summarizing the event, was presented at the 2019...
National Ecological Observatory Network: A Data Source For Your Classroom
11 Jul 2019 | Teaching Materials | Contributor(s):
By Megan A. Jones
National Ecological Observatory Network
Poster on NEON resources for use in research and education presented at the 2019 BioQUEST & QUBES Summer Workshop.
NEON Data in the Classroom: Faculty Mentoring Networks Offer a Low-Investment High-Output Means of Creating and Implementing Data-Centric Classroom Materials
20 Dec 2018 | Teaching Materials | Contributor(s):
This ePoster presents the Faculty Mentoring Network model as a way to support faculty creation and implementation of data-centric classroom teaching activities. It focuses on the NEON Data...
Data Management Adaptation: Correlating Forest Community Dynamics to Climate
19 Dec 2018 | Datasets | Contributor(s):
By Sarah McCarthy-Neumann
Students use vegetation structure data from the National Ecological Observatory Network to understand necessary steps of data management from data collection to data analysis by correlating...
Video: The Future of Science is Open
07 Nov 2018 |
Posted by Alycia Crall
Data Management using National Ecological Observatory Network's (NEON) Small Mammal Data with Accompanying Lesson on Mark Recapture Analysis
19 Jun 2018 | Datasets | Contributor(s):
By Jim McNeil1, Megan A. Jones2
1. George Mason University; Smithsonian-Mason School of Conservation 2. National Ecological Observatory Network
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...
17 Apr 2018 | Datasets | Contributor(s):
NEON data in undergraduate ecology courses: Data skills and learning opportunities
07 Mar 2018 | Teaching Materials | Contributor(s):
By Wendy Gram1, Megan A. Jones1
Presentation made by Wendy Gram et al. as part of the "Bringing Research Data to the Ecology Classroom: Opportunities, Barriers, and Next Steps” Session at the Ecological Society of America...
19 Feb 2018 | Datasets | Contributor(s):
15 Aug 2017 | Teaching Materials | Contributor(s):