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    REMNet Tutorial, Excel Part 4: Focusing on Taxonomy 4.26.19
    Video on analyzing microbiome data in Excel from the Research Experiences in Microbiomes Network
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    Critical inquiry for inclusive teaching of statistics
    Professional development workshop slides to help curate conversations in teaching statistics with a critical inquiry lens.
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    Importing Data into R
    This short swirl lesson on importing data is designed to 1) get a basic understanding in how tables are read into R and some common issues and 2) develop an individual set of instructions for...
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    Pennies to The Moon Data Byte Series
    This series of Rbyte activities explores the concept of debunking using Fermi Estimation, R, and ChatGPT.
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    Sampling Distributions and Null Distributions: two swirl lessons in R
    There are two complementary lessons. The first covers how sampling distributions are made and ID's their key properties. The second covers how null distributions and how the test statistic of a...
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    Morphological identification of mosquitoes through microscopic observation
    Scientific research is integrated into various stages of student learning, but hands-on involvement in the research process typically begins at the university level. This module aims to engage high...
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    Count me in: Increasing early detection of invasive species with community science
    In this lesson, students interpret a map of species occurrences. Then, students view and reflect on an interview with biologist Dr. Jennifer Dean, whose research includes the map that they...
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    Calling Bull Case Study — 99.9% Caffeine-free with R
    This is an adaptation of Calling Bull's Case Study on how caffeine free is hot chocolate versus coffee in order to make it into a student project that uses R.
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    DataONE Module 01: Why Data Management?
    Trends in data collection, storage and loss, the importance and benefits of data management, and an introduction to the data life cycle.
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    A STEAM Approach to Understanding Water Systems
    Students will investigate their relationships to water through STEAM (science, technology, engineering, art, and mathematics) using a combination of science, art, and reflection and build new...
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    Biodiversity Counts! Making sense of diversity metrics and graphs
    In this lesson students 1) become familiar with various graphs that are used to study diversity patterns within and across sites, 2) learn about some of the questions that can be addressed by...
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    Cancer Genetics and an Interview with a Deaf Biomedical Researcher
    In this lesson, learners will learn about cancer genetics and understand and interpret graphs showing quantitative trait locus (QTL) data, survivor curve data, and other genetics data. Then,...
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    Trail Camera Field Survey Module
    This QUBES module introduces high school students to the exciting world of field surveys using trail cameras. Designed for environmental science classes, the module offers a hands-on approach to...
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    Dairy Farm Mathematics
    We based our instructional unit on the premise that many people have, that one does not need mathematics if the they do not plan on atttending college or pursuiting careers known for involving...
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    Disease Spread Simulation with M&M's and Information on the wider SIMIODE community
    This is a Student Version of a Modeling Scenario from the community, SIMIODE - Systemic Initiative for Modeling Investigations and Opportunities with Differential Equations at www.simiode.org
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    Fitting Exponential and Logistic Growth Models to Bacterial Cell Count Data
    In this activity, students will model a noisy set of bacterial cell count data using both exponential and logistic growth models. For each model the students will plot the data (or a linear...
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    Supersized Life: Comparing Across Scales
    How wide is the size range of living beings, from "big" to "too small to see"? Students will collect and compare measurements from 3D specimens within the metric system by multiplying or dividing...
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    Landscape Indicators:Nutrients and Macroinvertebrates
    Modification of the Investigating Human Impacts on Stream Ecology Module to emphasize landscape indicators and incorporate inclusive practices.
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    Are you teaching biostatistics with R? Suggestions to help you as work with your students.
    Teaching students how to code and analyze data in R is important for the fields of biology and ecology. Olivia Tabares and the Ecological Forecasting Education Working Group created this resource...
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    Data is the New Science - Modified and combined with Following the Data Module
    In this module, students will be introduced to some emerging biodiversity data resources. They will be asked to think critically about the strengths and utility of these data resources and apply...
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