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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...
Earth Analytics in R Course
By Leah Wasser
Earth analytics is an advanced, multidisciplinary course that addresses major questions in Earth science and teaches students to use the analytical tools necessary to undertake exploration of...
Earth Analytics Bootcamp Course
By Jenny Palomino1, Leah Wasser
The Earth Analytics Bootcamp is a three-week introductory-level course taught by instructors in Earth Lab and is a part of the Professional Certificate in Earth Data Analytics - Foundations at CU...
REMNet Tutorial, R Part 5: Normalizing Microbiome Data in R 5.2.19
28 Aug 2019 | Teaching Materials | Contributor(s):
By Jessica Joyner
CUNY Brooklyn College
Video on normalizing microbiome data from the Research Experiences in Microbiomes Network
Does Organelle Shape Matter? Exploring Cell Shape through the Allen Cell Explorer and High-content Microscopy Datasets
12 Jun 2019 | Teaching Materials | Contributor(s):
By Carlos Christopher Goller1, Kaitlyn Casimo
North Carolina State University
The morphology and localization of structures inside the cell are often assumed to fit the ideal images found in biology textbooks. This interrupted case study using high-throughput microscopy data...
03 Jun 2019 | Teaching Materials | Contributor(s):
By Lisa Dierker
E-book in .pdf format and customizable .iba format
Competition under the Sea: Exploring the competitive interaction between native and non-native seagrasses in the Caribbean
26 May 2019 | Teaching Materials | Contributor(s):
By Demian Alexander Willette
Loyola Marymount University
A mini-case study that uses real-world data to explore the competitive interaction among seagrasses.
Intro to BIOMAAP - Student Math Anxiety Overview
21 May 2019 | Teaching Materials | Contributor(s):
By Paige F.B. Ferguson
University of Alabama
This presentation is intended as a stand alone 45 minutes-1 hour presentation to give students general information on math anxiety and a few strategies to try on their own.
Exploring the population dynamics of wintering bald eagles through long-term data using R
By Kristen Kaczynski
California State University - Chico
The purpose of this modification was to take the analyses that were done in Excel and have the students perform them using R. Students were not given any R code for this activity, as R code was...
Species Range Over Space and Time
19 Mar 2019 | Teaching Materials | Contributor(s):
By Debra Linton1, Anna Monfils1, Libby Ellwood2, Molly Phillips3
1. Central Michigan University 2. iDigBio 3. iDigBio, Florida Museum of Natural History, University of Florida
In this module, students use data from natural history collections to look at range shifts related to climate variables over different time periods.
23 Jan 2019 | Teaching Materials | Contributor(s):
By Stephen Gosnell
Baruch College, City University of New York
This lesson focused on introducing students to binomial data analysis and reinforcing concepts of confidence intervals, p-value interpretation, and one- vs two-sided tests.
By Didem Ikis
In this lesson, students will learn the necessary statistical terms to understand two-way ANOVA, how to visualize their data, how to perform two-way ANOVA and interpret their results, and how to...
Testing hypotheses about the role of wildfire in structuring avian communities
07 Jan 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...
Making toast: Using analogies to explore concepts in bioinformatics
04 Jan 2019 | Teaching Materials | Contributor(s):
By Kate L. Hertweck
University of Texas at Tyler
Module using analogies to introduce students to genomics
Data simulation and randomization tests
03 Jan 2019 | Teaching Materials | Contributor(s):
By James S. Santangelo
University of Toronto
A participatory live-coding lesson on simulating data and performing randomization tests on ecological data in R.
Working with spreadsheet-style data in Python with pandas and seaborn
20 Dec 2018 | Teaching Materials | Contributor(s):
By Madeleine Bonsma-Fisher
This 4-hour participatory live-coding workshop takes learners through the basics of programming in Python via the Jupyter Lab interface and culminates with exploration and visualization of...