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    Multiple choice quiz questions for biostatistics
    A set of 157 multiple choice quiz questions for biostatistics courses, organized and searchable by 18 concepts/skills.

    Keywords: quizbiostatistics - general

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    Exploring Functions for Common Phage Proteins
    This resource is designed to help students better understand the functions of common structural and enzymatic phage proteins, and to relate these functions to phage structure using electron...
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    Exploring Phage Immunity Systems with a Scientific Reading and Communication Activity
    This jigsaw assignment is designed to increase students’ understanding of phage immunity systems, through reading primary literature and communicating key aspects.
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    Exploring Fundamental Concepts of Phage Immunity Systems: A jigsaw activity
    This jigsaw assignment is designed to increase students’ understanding of phage immunity systems
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    Setting Up Nonparametric Tests
    This swirl lesson will show you how to rearrange your data within R from one that shows a multiple factor design (2 x 2) to a single factor (4 levels) to allow for data analyses that require...
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    Encouraging student collaboration and networking and improving student access to undergraduate research opportunities.
    We describe, as a case study, work done by two undergraduate students on a specific enzyme in the ciliate Tetrahymena thermophila.

    Keywords: undergraduate researchstudent researchenzymes

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    NEON Data in the Classroom: Quantifying Spatial Patterns
    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...

    Keywords: RR Markdownlandscape ecologygroup-neon2018spatial statisticsfractalsrasters

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    An introduction to population matrix models: a swirl lesson
    Students will learn how to set up a population matrix model in R and use it for demographic analysis of a population, including projecting population growth, determining lambda and the stable age...

    Keywords: population dynamicsRpopulation growthonlinedemographypopulation projection modelquantitative biologypopulation modelmatrix modelspopulation ecologyage structurepopulation biologypopulation modelingSwirlDemographic processespopulationLeslie matrix

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    Hardy-Weinberg Equilibrium: a swirl resource
    Students will use swirl to understand Hardy-Weinberg equilibrium. The lesson starts with observed numbers of individuals for each genotype, and students will work through a number of steps to...

    Keywords: Hardy-Weinbergpopulation geneticsEvolutionevolutionary ecologyR programming languageSwirl

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    Remote sensing data processing – NEON airborne data
    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...

    Keywords: RlandscapebiomassProblem Solvingraster raster data processingspatial data visualizationvegetation indicescanopy

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    Analyzing Nutrient Simulation Experiments with a one-way ANOVA
    We discuss what tests are appropriate to analyze the data from nutrient simulation experiments. They will conduct one-way ANOVAs and a post hoc test using a dummy dataset and interpret the results.

    Keywords: biostatisticsInterdisciplinary STEMR programming languageaquatic ecologylimnologySwirl

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    Cleaning Data with R and the Tidyverse in Swirl
    The overall goal is to help students learn common data cleaning procedures on a dataset once they’ve collected measurements and before they are able to start their analysis. This swirl lesson is...

    Keywords: Rdata analysisdata manipulationRStudioManagement Of DataSwirl

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    Genome Sequence Data in R using Biostrings (Swirl Lesson)
    By the end of this lesson, students should be able to load FASTA files into R as DNAStringSets and use width() and alphabetFrequency(), combined with other functions like sum() and mean(), to...

    Keywords: R programming languagecourse-based undergraduate research experienceBioinformatics and GenomicsCURECUREscourse-based research experiences (CUREs)STEM CUREsComparative genomicsBioconductor

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    Investigating human impacts on stream ecology: locally and nationally
    This is a modification of an original TIEE Module, investigating these questions: How does nutrient pollution impact stream ecosystems locally and nationally? How does land cover change impact...

    Keywords: tool:rstudiolandscape ecologyStream ecologyBox Plotsland usespatial analysisEutrophication

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    Value of Mistakes. Making Mistakes Using R
    This module allows students to frame mistakes and frustrations during their first introduction to R in terms of improved learning and growth mindset.

    Keywords: growth mindsetmath attitudesResources @ BIOMAAPmistakesvalue of mistakes

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    Data management and introduction to QGIS and RStudio for spatial analysis
    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...

    Keywords: tool:rstudioGISdata managementlandscape ecologyGeospatial ScienceNational Ecological Observatory Networkquantitative inquiryQGIS

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    Investigating human impacts on stream ecology: locally and nationally
    This module is a modification of the Nuding and Hampton module in TIEE Volume 8. This modified module includes data from Alaska and is modified to be completed as an asynchronous lab in an online...

    Keywords: aquatic macroinvertebratesAlaskaStream ecologynutrient pollutionHuman Impacts of Ecosystemsecological monitoringasynchronous learning

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    Coding Club: A Positive Peer-Learning Community
    Free and self-paced tutorials and courses for learning to code out of the University of Edinburgh

    Keywords: statisticsRecologydata visualizationcodingenvironmental sciencepythonjavascript

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    SEIR simulation activity for flattening the curve
    This is a short exploration activity to introduce SIR and SEIR models without explicitly introducing differential equations. It utilizes the R package EpiDynamics and students can run the...

    Keywords: RRStudioInfectious Disease ModelingSIR modelsSIRseircovidcoronavirus

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    Chi-squared test of independence between two categorical variables
    In this lesson, students will have the opportunity to work through a chi-squared test of independence between two categorical variables.
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