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    Yeast Cell Growth
    Numbers Count resource using Excel for data analysis
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    DataCamp
    DataCamp: The Easiest Way to Learn Data Science Online
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    More In Depth Spreadsheet Management Adaptation of Data Management using NEON Small Mammal Data
    This adaptation consists of three exercises that introduce students to 1) format spreadsheet data tables, 2) carry out spreadsheet quality control, and 3) count/sort/filter data of interest in...
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    Phylogeny of Land Plants
    In this lab, students review the characteristics of the major land plant lineages. Then they perform phylogenetic analyses based on morphological characters.
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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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    Module M.4 Simple linear regression analysis
    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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    Examining human impacts on tusk evolution in elephants using authentic research data
    In this activity students explore and analyze real, authentic research data paired with HHMI’s “Selection for Tuskless Elephants” video in a hands-on investigation of human impacts on elephant...
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    Staying Alive: Extinction Risk: Introduction to Extinction and Extinction Bias
    Data driven curriculum module from Dryad Digital Repository
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    Introductory Data Science Pipeline Activity – Yellow Fever and Global Precipitation
    Students follow the steps of a tiny data science project from start to finish. They are given a research question "Are the number of cases of yellow fever associated with global average...
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    Introduction to R Course
    Free Introduction to R Course at DataCamp
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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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    GSD QUBES Resource Draft (1)
    This QUBES module is focused towards AP Environmental studies courses. It includes hypothesis testing, transect sampling, Shannon Diversity Index, and scatter plot and bar graph creation in excel.
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    An Adaptation of "Lichens in Diverse Landscapes" for BIO 3400 Ecology at Greensboro College
    This resource includes a lichen data analysis lab that I adapted for students in BIO 3400 Ecology, an upper level in person course at Greensboro College that met during the Fall 2020 semester.
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    Module M.1 R basics for data exploration and management
    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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    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.3 Visualizing data with ggplot2
    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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    Calling Bull: Data Reasoning in a Digital World
    "So, the aim of this course is to help students navigate the bullshit-rich modern environment by identifying bull seeing through it, and combating it with effective analysis and argument."
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    Calling Bull in an Age of Big Data with R
    Use the calling bull course to introduce students to data, ethics, visualization, and R.
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    Leaf cutter ant foraging
    This module introduces students to leaf-cutter ants in the rainforests of Panama. Students derive their own research hypotheses regarding ant foraging or allometric scaling relationships.
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