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    HUMAN-ENVIRONMENT AQUATIC LAB (HEAL) CURE
    Course-based Undergraduate Research Experiences (CUREs) provide students with genuine research experiences and associated skills in the classroom. This resource, the HUMAN-ENVIRONMENT AQUATIC LAB...
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    REMNet Tutorial, R Part 5: Normalizing Microbiome Data in R 5.2.19
    Video on normalizing microbiome data from the Research Experiences in Microbiomes Network
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    Communicating with Data: Infographic with Digital Data
    Working collaboratively in teams of 2-4 researchers, students engage in targeted projects to address critical information and research needs using digital biodiversity data.
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    Following the Data
    The video and exercise provides insight into how researchers are using digital data resources to investigate biodiversity in prairie fen wetlands.
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    iDigBio Tutorial - BLUE Resource
    A user guide and video instructions for iDigBio
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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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    Data is the New Science
    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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    GBIF Tutorial - BLUE Resource
    A user guide and video instructions for GBIF
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    Competition under the Sea: Exploring the competitive interaction between native and non-native seagrasses in the Caribbean
    A mini-case study that uses real-world data to explore the competitive interaction among seagrasses.
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    Introducing PHAGES Students to Primary Literature
    The ‘Introducing PHAGES Students to Primary Literature’ set of teaching resources offers faculty 2 distinct sets of teaching resources for introducing students to scientific literature in the...
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    Arctos Tutorial - BLUE Resource
    A user guide and video instructions for Arctos
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    21st Century STEM Workforce Skills
    This activity includes a leadership assessment and associated exercise to encourage the development of 21st Century STEM Skills.
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    Tag You're It: A Lesson Investigating Study Design and Survival Analysis on an American Shad Tagging Study
    In this lesson, students will learn about the various mark-recapture and tagging methods that are used in various scientific disciplines and the information they can gather. Key elements of...
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    An Introduction to Biodiversity Databases and Specimen Images
    In this module, students will be introduced to some biodiversity data resources and how to search for and download herbarium specimen images. They will be asked to think critically about the...
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    Communicating with Data: Digital Data Resources
    Students access, clean, configure, and standardize a dataset and create a relevant and scientifically valid data visualization to communicate science.
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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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    (Online) Figure of the Week: Skills for Interpreting Comparative Genomics Figures
    Students use their number sense to make observations and explain or guess at patterns shown, discussing in a weekly online Q&A forum.
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    Inquiry-based hypothesis testing using phylogenetic trees in MEGA
    A key learning objective in biology is applying bioinformatics tools to test a real-life question. These inquiry-based modules have students assemble and align data, and construct simple...
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    Figure of the Week: Applied Statistics for Wildlife Research
    Students use their number sense to make observations and explain or guess at patterns shown, discussing at the start of a weekly computer lab. This slide deck focuses on figures related to concepts...
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    A Hands-on Introduction to Hidden Markov Models
    A lesson in which students will understand the basic structure of an HMM, the types of data used in ab initio gene prediction, and its consequent limitations.
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