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NEON Data in the Classroom: Quantifying Spatial Patterns
23 Jul 2020 | Teaching Materials | Contributor(s):
By Kusum Naithani
University of Arkansas, Fayetteville, AR 72701
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...
Understanding COVID-19 Biology to Design a Vaccine - Ethics supplement
08 Jul 2020 | Teaching Materials | Contributor(s):
By Keith A. Johnson
Bradley University College of Liberal Arts and Sciences
The adaptation to Understanding COVID-19 Biology to Design a Vaccine entails two ethics supplements. The first supplement addresses the use of off-label drugs in the pandemic (or other situation)....
Vertebrate Clade Race
11 Jun 2020 | Teaching Materials | Contributor(s):
By David Baum1, Kristin Jenkins2
1. University of Wisconsin 2. BioQUEST
This activity introduces basic tree reading skills for evolutionary phylogenies. It is designed as a short group activity. After completing this activity, students should be familiar with basic...
Remote sensing data processing – NEON airborne data
10 Jun 2020 | Teaching Materials | Contributor(s):
By Yingying Xie
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...
Digital Atlas of Ancient Life | Exploring the Diversity and History of Fossil Life
08 Jun 2020 | Teaching Materials | Contributor(s):
By Jonathan Hendricks
Paleontological Research Institution
The Digital Atlas project include field guides to fossils (including a mobile app), an online paleontology textbook, and a collection of over 500 virtual 3D models of fossil specimens.
Caribbean coral reef structure and biodiversity - Comparing boosted regression tree & multiple regression approaches
29 May 2020 | Teaching Materials | Contributor(s):
By Eric Womack
Virginia Commonwealth University
Creating and comparing boosted regression tree models to multiple regression models.
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...
Using Digitized Collections-Based Data in Research: A Hands-On Crash Course in Ecological Niche Modeling
23 Apr 2020 | Teaching Materials | Contributor(s):
By Blaine Marchant
Step-by-step, hands-on instruction on ways to access and download these specimen data, how to process climate layer data, and how to apply Maxent software to construct ecological niche models.
Coding Club: A Positive Peer-Learning Community
22 Apr 2020 | Teaching Materials | Contributor(s):
By Gergana Daskalova1, Sandra Angers-Blondin1, John Godlee1, Izzy Rich1, Beverly Tan1, Declan Valters1, Haydn Thomas1, Pedro Miranda1, Gabriela Hajduk1, Kat Keogan1, Isla Myers-Smith1, Kyle Dexter1, Christina Coakley1
University of Edinburgh
Free and self-paced tutorials and courses for learning to code out of the University of Edinburgh
21st Century STEM Workforce Skills
22 Mar 2020 | Teaching Materials | Contributor(s):
By Anna Monfils1, Debra Linton1
Central Michigan University
This activity includes a leadership assessment and associated exercise to encourage the development of 21st Century STEM Skills.
GBIF Tutorial - BLUE Resource
19 Mar 2020 | Teaching Materials | Contributor(s):
By Libby Ellwood
A user guide and video instructions for GBIF
iDigBio Tutorial - BLUE Resource
By Molly Phillips
iDigBio, Florida Museum of Natural History, University of Florida
A user guide and video instructions for iDigBio
Arctos Tutorial - BLUE Resource
By Erica Krimmel
iDigBio, Florida State University
A user guide and video instructions for Arctos
Testing hypotheses about the role of wildfire in structuring avian communities
19 Dec 2019 | Teaching Materials | Contributor(s):
By Lesley Bulluck
Virginia Commonwealth University, Center for Environmental Studies
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...
Biodiversity research using digitized, internet-based natural history collections
17 Dec 2019 | Teaching Materials | Contributor(s):
By Kaitlin Stack Whitney
Rochester Institute of Technology
Collections based research is a critical tool for organismal biology and biodiversity research. Yet natural history collections have a complicated past. This multi-class module examines the...
Earth Analytics in Python Course
01 Nov 2019 | Teaching Materials | Contributor(s):
By Leah Wasser1, Jenny Palomino1, Chris Holdgraf2
1. Earth Lab - University of Colorado, Boulder 2. University of California, Berkeley
Earth analytics is an intermediate, multidisciplinary course that addresses major questions in Earth science and teaches students to use the analytical tools necessary to undertake exploration of...
Get Started With GIS in Open Source Python Workshop
15 Oct 2019 | Teaching Materials | Contributor(s):
By Leah Wasser1, Jenny Palomino1, Joe McGlinchy1
Earth Lab - University of Colorado, Boulder
There are a suite of powerful open source python libraries that can be used to work with spatial data. Learn how to use geopandas, rasterio and matplotlib to plot and manipulate spatial data in...
Introduction to Version Control and Git Workshop
By Leah Wasser, Max Joseph
Learn how to use version control with Git to work collaboratively and back up your work.
Writing Clean Code in R Workshop
By Max Joseph1, Leah Wasser
When working with data, you often spend the most amount of time cleaning your data. Learn how to write more efficient code using the tidyverse in R.
Introduction to Earth Data Science Textbook
By Jenny Palomino, Leah Wasser
Introduction to Earth Data Science is an online textbook for anyone new to open reproducible science and the Python programming language. There are no prerequisites for this material, and no prior...