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    Learn Biological Sciences and Environmental Science through biodiversity and pollution
    Biodiversity or biological diversity is the variety of and variability of biological life on Earth. Biodiversity is existing due to variation among living organisms from different sources air,...
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    Earth Analytics Bootcamp Course
    The Earth Analytics Bootcamp is a three-week introductory-level course taught by instructors in Earth Lab and is a part of the Professional Certificate in Earth Data Analytics - Foundations at CU...
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    Two-Way ANOVA
    In this lesson, students will learn the necessary statistical terms to understand two-way ANOVA, how to visualize their data, how to perform two-way ANOVA and interpret their results, and how to...
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    Introduction to Earth Data Science Textbook
    Introduction to Earth Data Science is an online textbook for anyone new to open reproducible science and the Python programming language. There are no prerequisites for this material, and no prior...
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    Species Range Over Space and Time
    In this module, students use data from natural history collections to look at range shifts related to climate variables over different time periods.
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    Testing hypotheses about the role of wildfire in structuring avian communities
    This module assesses the role of wildfire in the eastern US and its impact on bird communities using NEON bird survey data from pre- and post- a major wildfire in the Great Smoky Mountains National...
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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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    HITS: A Network to Create Inquiry-based Case Studies | BIOME 2022
    We created the NSF-funded High-throughput Discovery Science & Inquiry-based Case Studies for Today’s Students (HITS) Research Coordination Network to address this gap. HITS brings together...
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    Save the Bees, Ditch the Plow: A lesson exploring how squash bee abundance is affected by varying levels of soil disturbance.
    The purpose of this lesson is to explore the effects that three varying degrees of soil disturbance has on the squash bee abundance that is observed. We will learn about the importance of...
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    Are you learning R? Suggestions to help you as you learn.
    Learning how to code and analyze data in R is an important skill. Olivia Tabares and the Ecological Forecasting Education Working Group created this resource to encourage individuals who are...

    Keywords: R code

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    Biodiversity research using digitized, internet-based natural history collections
    Collections based research is a critical tool for organismal biology and biodiversity research. Yet natural history collections have a complicated past. This multi-class module examines the...
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    The River Breathes: Stream reach metabolism as an integrative and comparable measure of stream processes
    Stream reach metabolism integrates organism respiration & production to provide a valuable ecosystem measure that varies as a function of biotic & abiotic factors. As a powerful indicator of whole...
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    What is Data Science - Introduction to Data Science
    Data Science is the technology that goes behind handling and working with data in the 21st century. Data Science concepts have proved to be the pinnacle in the last couple of years with the onset...
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    Introduction to Python for Data Science Course
    Free Introduction to Python for Data Science Course at DataCamp
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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...
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    Earth Analytics in Python Course
    Earth analytics is an intermediate, multidisciplinary course that addresses major questions in Earth science and teaches students to use the analytical tools necessary to undertake exploration of...
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    DataCamp
    DataCamp: The Easiest Way to Learn Data Science Online
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    Why, when, and how to cite sources of biodiversity specimen data
    This short video and assessment explain why we as scientists should cite our data sources and how we can do this for sources of biodiversity specimen data.
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    Get Started With GIS in Open Source Python Workshop
    There are a suite of powerful open source python libraries that can be used to work with spatial data. Learn how to use geopandas, rasterio and matplotlib to plot and manipulate spatial data in...
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    Writing Clean Code in R Workshop
    When working with data, you often spend the most amount of time cleaning your data. Learn how to write more efficient code using the tidyverse in R.
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