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    Statistical Exploration of Climate Data
    In this module the students will learn some basic concepts in statistical thinking about data, with emphasis on exploratory data analysis.
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    Microbiome Analysis with Oxford Nanopore 16S amplicon sequencing data
    The resource is a brief description of an analysis pipeline for microbiome analysis of Oxford Nanopore 16S amplicon sequence data. We tested the Kraken 2 and Krona pipeline from nanogalaxy with...
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    R for biologists
    An introductory guide to data analysis in R for life sciences researchers.

    Keywords: R

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    Cookbook for R
    The goal of the cookbook is to provide solutions to common tasks and problems in analyzing data.
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    Learn Biological Sciences and Physics through scientific process, creation, experimentation and analysis
    Microbes remain attached and grow on various surfaces whether living or non-living. These surfaces provide differential growth substances for microbes to remain attached or grow. The differential...
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    BEDE Network Data Science Skills Curriculum Map
    The Biological and Environmental Data Education (BEDE) Network has produced this data science skills curriculum map as a flexible tool to help instructors highlight data science skills that they...
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    Choosing healthy data for healthy relationships: how to use 5-point summaries, box and whisker plots, and correlation to understand global health trends.
    This module utilizes a user-friendly database exploring data selection, box-and-whisker plot, and correlation analysis. It also guides students on how to make a poster of their data and conclusions.
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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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    Java Applets for Power and Sample Size
    This is a Java application that allows you to do power and sample-size calculations for a number of standard statistical models.
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    IPMpack: an R package for Integral Projection Models
    IPMpack is an R package (R Development Core Team 2013) that allows users to build and analyse Integral Projection Models.
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    The Undergraduate Student’s Guide to Geometric Morphometrics
    Embarking on a new research endeavor can be a daunting task. User guides, books, and published articles are written for an audience that already has some background experience in the field....
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    Computational Biology using R
    This is an introductory level course on computational biology.
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    Data from: Agent-based and Individual-based Modeling: A Practical Introduction, Chapter 5, Section 5.5 [Elevation]
    Elevation data input file for Section 5.5 (tab-separated plain text).
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    Backward Design with Digital Data
    Best practices for designing educational modules using biodiversity data
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    EDSIN Conference Flier
    This is the official conference flier. Feel free to distribute via your networks.
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    Helping teachers and students learn with research data: The role of a scientific gateway for education
    Presentation at the Cary Institute, April 5, 2018
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    STEM Inclusive Teaching Practices Webinar Series: The Biocultural Labels Initiative
    The Biocultural (BC) Labels initiative is focused on accurate provenance, transparency and integrity in research engagements with Indigenous communities. ...
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    STEM Inclusive Teaching Practices Webinar Series: Socially Relevant Teaching in the Time of COVID-19
    Presents various mathematical modeling and data science activities created around analyzing and interpreting COVID-19 data. Much of the instructional guidance provided for the activities and...
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    Quantifying The Drivers and Impacts of Natural Disturbance Events – The 2013 Colorado Floods
    This lesson focuses on ways that scientists identify and use data to understand ecological disturbance events using data from five public datasets. The main lesson focused on interpretation of...
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    Resource list for inclusive teaching in STEM (HHMI)
    A resource collection created for HHMI BioInteractive to guide the development of teaching resources aligned with principles of equity and inclusion.
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