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    Analysis of Amylase Activity
    This lab is an exploration of enzyme function and the effects of environmental conditions on the activity of the enzyme amylase. The lab utilizes analytical and graphing skills to assess enzyme...
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    Intro videos and terminology for GMOs, Transcription, Translation
    Compiled resources around GMOs and protein production including vocabulary, animations, videos, and games
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    Identifiers in Digital Natural History Collections
    This is a collection of resources focusing on GUIDs (Globally Unique Identifiers) on what they are, what role they play in digital natural history collections, and how to incorporate them in...
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    Winter is Coming! Data Nuggets Module - Adapted for Preservice Elementary Teachers
    Adaptation of Data Nuggets Module Winter is Coming! for an Elementary Education Science Methods Course
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    Introduction to Plant Phenology with Museum Specimens of Desert Prickly Pear (Opuntia phaeacantha)
    Students engage in hands-on exploration of phenology by working with digitized herbarium specimens, particularly focusing on prickly pear specimens from the UTEP herbarium. They learn to identify...
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    Dendroclimatology
    Dendroclimatologists can reconstruct climate records further into the past than written records, by examining tree rings. Students "reverse-engineer" this process by considering growth rates of a...
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    Tree Biomass and Phenology
    This lesson centers around understanding the connection of tree biomass and phenology with climate change. It uses both swirl and LearnR lessons in the R programming language to help students make...
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    A Fun Introductory Command Line Exercise: Next Generation Sequencing Quality Analysis with Emoji!
    This resource is a fun computer-based intro to command line programming. The activity takes FASTQ NGS data files and runs a fun program called FASTQE.
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    Introduction to UNIX command line
    A laboratory module for an upper-level undergraduate biology course in which students will be able to carry out simple tasks using the Unix command-line environment.
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    Modeling Changes in Probability of Presence of Myotis lucifugus Due to White Nose Syndrome: An Introduction to Logistic Regression in R
    In this lesson, students will learn more about the wildlife disease known as white nose syndrome and how it affects certain bat species more than others. Students will learn about the important...
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    Biostatistical Tools
    This Excel collection of workbooks has tools for: 1. Linear regression through the origin 2. Linear regression not through the origin 3. Polynomial fit 4. A simple chi-square analysis to test...
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    Continuous Growth Models
    This Excel worksheet compares user-input growth data with predictions under linear, exponential, and logistic models of growth. Introduces concepts of statistical analysis that can be additionally...
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    Venom: To Kill or Cure?
    In this case study, students will explore concepts of evolution, protein structure and function, taxonomy, and methods of scientific inquiry in a real-world way.
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    Fitzhugh-Nagumo Model
    The FitzHugh–Nagumo model describes a prototype of an excitable system (e.g., a neuron).
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    Quantifying Bacterial Growth in the Guts and Hemolymph of Fruit Flies: Mathematical Modeling and Data Interpolation/Extrapolation
    In this activity, students will analyze raw data obtained from an experiment that explores the effect of overexpressing the Ssk protein in order to strengthen the intestinal barrier and prevent...
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    Module M.7 Generalized linear mixed-effects models
    Introduction to Primate Data Exploration and Linear Modeling with R was created with the goal of providing training to undergraduate biology students on data management and statistical analysis...
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    Checking Normality in R with swirl
    How to use the "three-prong" approach to check for normality
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    Exploring the Lotka-Volterra Competition Model using Two Species of Parasitoid Wasps
    Experiment included in Teaching Issues and Experiments in Ecology (TIEE) Volume 2
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    Working with plant phenology data and fitting a nonlinear model using least squares in R
    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.
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