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    Backward Design with Digital Data
    Best practices for designing educational modules using biodiversity data
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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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    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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    Ecological Forecasting Repository of Online Educational Resources
    This pdf provides a list of over 100 educational resources related to tools and skills related to ecological forecasting.
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    Instructor Guide : Integrating Leadership Skills, Data Science, Artificial Intelligence, Simulation and Google Tools to learn Chemistry
    Scientific, leadership and recent artificial intelligence skills are integral frameworks of the curriculum. All of them together or individually can enhance knowledge, critical thinking and...
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    Instructor Guide : Integrating Leadership Skills, Data Science, Artificial Intelligence, Simulation and Google Tools to learn Physics
    Scientific, leadership and recent artificial intelligence skills are integral frameworks of the curriculum. All of them together or individually can enhance knowledge, critical thinking 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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    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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    Augmented Reality Metabolic Pathways (ARMET)
    The ARMET app is developed using Unity, 3D molecules obtained from Protein Data Bank and ChemSpider-chemical structure database, the usage data are stored into a database (MySQL) and are analyzed...
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    Exploring the iNaturalist Database and Understanding Species Information
    This activity introduces a comprehensive guide aimed at enhancing users' proficiency in navigating the iNaturalist database to gain insights into biodiversity and species information. Divided into...
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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
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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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    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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    Before You Start Publishing on QUBES
    This handy guide follows the Instructions for Authors to keep together all the text that can then be copied during the publication process. Notes and comments in this document are italicized so...
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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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    BioSkills Guide
    The BioSkills Guide comprises program- and course-level learning outcomes for the Vision and Change core competencies that elaborate what general biology majors should be able to do by the time...
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    EDSIN Conference Flier
    This is the official conference flier. Feel free to distribute via your networks.
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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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    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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    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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