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Linear Regression (Excel) and Cellular Respiration for Biology, Chemistry and Mathematics
03 Dec 2021 | Teaching Materials | Contributor(s):
By Irene Corriette1, Beatriz Gonzalez1, Daniela Kitanska2, Henriette Mozsolits2, Sheela Vemu3
1. Santa Fe College 2. Passaic County Community College 3. Waubonsee Community College
Students typically find linear regression analysis of data sets in a biology classroom challenging. These activities could be used in a Biology, Chemistry, Mathematics, or Statistics course. The...
Targeting Misconceptions in the Central Dogma by Examining Viral Infection
22 Oct 2021 | Teaching Materials | Contributor(s):
By Stefanie R. DeVito*
University of Delaware
Understanding the central dogma and how changes in gene expression can impact cell function requires integration of several topics in molecular biology. Students often do not make the necessary...
Exploring Marine Primary Productivity with Descriptive Statistics and Graphing in Excel
02 Sep 2021 | Teaching Materials | Contributor(s):
By Marina McLeod1, Jennifer Olson1, Wendy Houston1
Everett Community College
In this activity, students use real water chemistry data and descriptive statistics in Excel to examine primary productivity in an urban estuary of the Salish Sea. They will consider how actual...
Assessing Urban Biodiversity With the eBird Citizen Science Project: A Course-Based Undergraduate Research Experience (CURE) Module
29 Aug 2021 | Teaching Materials | Contributor(s):
By Karin R. Gastreich
The eBird citizen science module takes advantage of technology tools and online resources developed by the Cornell Laboratory of Ornithology (http://ebird.org) to achieve several learning...
STEM Inclusive Teaching Practices Webinar Series: The Biocultural Labels Initiative
03 May 2021 | Teaching Materials | Contributor(s):
By Jane Anderson1, Maui Hudson2
1. New York University 2. University of Waikato
The Biocultural (BC) Labels initiative is focused on accurate provenance, transparency and integrity in research engagements with Indigenous communities. ...
Water Quality Investigation (Project EDDIE)
18 Feb 2020 | Teaching Materials | Contributor(s):
By Melissa Hage
Oxford College of Emory University
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...
Water Quality Module (Project EDDIE)
19 Nov 2019 | Teaching Materials | Contributor(s):
By C. A. Gibson, D. N. Castendyk
Students utilize real-time nitrate data from the US Geological Survey to statistically evaluate water quality impacts and to identify their causes
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.
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...
DIGging Into Data and getting the credit
18 Jul 2019 | Teaching Materials | Contributor(s):
By Kaitlin Bonner1, Arietta Fleming-Davies2, Kristine Grayson3, Ben Wu4, Raisa Hernández-Pacheco3
1. St. John Fisher College 2. QUBES; Radford University 3. University of Richmond 4. Texas AM University
Presentation on using and adapting OER data-centric resources
National Ecological Observatory Network: A Data Source For Your Classroom
26 Jun 2019 | Teaching Materials | Contributor(s):
By Megan A. Jones
National Ecological Observatory Network
Abstract for a poster on NEON resources for use in research and education presented at the 2019 BioQUEST & QUBES Summer Workshop.
Getting students to reason with data: QUBES tools and teaching resources built for introductory biology
21 Feb 2019 | Teaching Materials | Contributor(s):
By Sam S Donovan
University of Pittsburgh
Workshop presented at the 2019 Biology Learning Community Conference
Working with spreadsheet-style data in Python with pandas and seaborn
20 Dec 2018 | Teaching Materials | Contributor(s):
By Madeleine Bonsma-Fisher
University of Toronto
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...
DataONE Module 01: Why Data Management?
30 Oct 2018 | Teaching Materials | Contributor(s):
By Amber E Budden
Trends in data collection, storage and loss, the importance and benefits of data management, and an introduction to the data life cycle.
DataONE Module 03: Data Management Planning
Benefits of a data management plan (DMP), DMP components, tools for creating a DMP, NSF DMP information, and a sample DMP.
DataONE Module 02: Data Sharing
Data sharing in the context of the data life cycle, the value of sharing data, concerns about sharing data, and methods and best practices for sharing data.