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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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    Cleaning Biodiversity Data: Excel
    Access and clean an open source polar bear dataset using Excel.
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    Nature’s Flying Machines: The Evolutionary Relationship of Avian Form & Function
    In this series of activities, birds will be used as the model organism. The modules examine the connections between body form and function over time by investigating the relationship between avian...
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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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    Cleaning Biodiversity Data: A Botanical Example Using Excel or RStudio
    Access and clean an open source herbarium dataset using Excel or RStudio.
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    Module 3: What on Earth is a Herbarium?
    The goal of this activity is to introduce students to herbarium specimens and why they are an important source of information. The emphasis of this activity is on examining the types of data that...
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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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    Diving into Deep Sea Data
    A module that combines NOAA's Okeanos Explorer and the iDigBio Portal to explore the deep sea!
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    Island biogeography, spatial ecology, and macroinvertebrate species diversity in Richmond’s rock pools
    Students investigate questions of community ecology and biogeography using data from an urban rock pool ecosystem. Using ArcGIS 10, students learn to create effective maps, calculate landscape...
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    That Vertebrate Ate What Exactly?
    During the course of this lesson, students will analyze CT scan data and observe bycatch (or an unknown discovery) captured during the scanning process of vertebrates.
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    Interpreting the Pseudocot Phylogeny
    Students use physical characteristics, genetics, and a fossil record of hypothetical flowering plants to develop fundamental phylogenetic tree-building skills.
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    Phototropism and Gravitropism: Quantifying Stem Curvature in Plants Introduction
    This module introduces phototropism and gravitropism in the context of understanding how to quantify stem curvature of plants. It is intended for an introductory biology audience.
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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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    Atlas of Black Scholarship for Inclusive and Racially Diverse STEM Curricula – Volume I
    The contributions of Black scientists to the advancement of STEM are poorly represented in course materials. Here, we provide an Atlas of Black Scholarship to help Life Sciences and Chemistry...
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    Data Ethics
    Data ethics and the use of digital data
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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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    Yeast Cell Growth
    Numbers Count resource using Excel for data analysis
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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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    A Beginner's Guide To Sampling Rockpools
    In this guide, we'll teach you how to sample rockpools, collect data, make visuals from data, and interpret data in order to see if any correlations exist.
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    DataCamp
    DataCamp: The Easiest Way to Learn Data Science Online
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