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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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    Phenology publications
    Collection of modifications to TIEE phenology module from Data Discovery FMN

    Keywords: phenology

    735

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    170

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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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    Isolation and Functional Analysis of a Pancreatic Enzyme in an Introductory Student Lab
    Structure and function are correlated at all levels of biology. This topic is typically addressed early in an undergraduate class in general or molecular biology before students have gained much...
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    Yeast Cell Growth
    Numbers Count resource using Excel for data analysis
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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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    Developing Decolonial Consciousness in Biology Students Through Critical Reflection Assignments
    There is a growing call to decolonize curricula in academia, including in scientific disciplines. In the biology classroom, this includes highlighting a diverse array of scientists and illuminating...
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    You and Your Oral Microflora: Introducing non-biology majors to their “forgotten organ”
    With limited time available for laboratory activities, introductory science courses for non-science majors typically use the laboratory period to reinforce material that was previously presented...
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    Data Visualization
    This is an introduction to the idea of data visualization and the importance of presenting data for understanding.
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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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    Summer 2019 Biobytes
    This series includes the four Biobytes that were piloted at the 2019 BioQUEST / QUBES Summer Workshop titled, “Evolution of Data in the Classroom: From Data to Data Science”.
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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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    Morphological and Molecular Analysis of Plant Phylogeny and Diversity
    In this lab, students perform phylogenetic analyses on morphological and molecular data, and compare.
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    adaptations

    CRISPR/Cas9 in yeast: a multi-week laboratory exercise for undergraduate students
    Providing undergraduate life-science students with a course-based research experience that utilizes cutting-edge technology, is tractable for students, and is manageable as an instructor is a...
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    Going Remote: An Online Adaptation to Using a Primary Cell Culture Model to Study the Neural Extracellular Matrix
    In light of the COVID-19 pandemic, instructors have modified materials to transition to a remote learning platform. The challenge for science instructors has been to design lab exercises that...
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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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    Design Your Own Flow Cytometry Experiment: A Four-Week Inquiry Laboratory
    Due to its importance to the field, flow cytometry should be one of the hallmark methods a student learns in the lab portion of an undergraduate immunology course. Flow cytometry is a classic lab...
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    CURE-all: Large Scale Implementation of Authentic DNA Barcoding Research into First-Year Biology Curriculum
    Growing calls in science education reform have emphasized wide-scale engagement of first-year undergraduate students in authentic research experiences; however, large course enrollments, inadequate...
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    Data Management in Excel and R using National Ecological Observatory Network's (NEON) Small Mammal Data
    Students use small mammal data from the National Ecological Observatory Network to understand necessary steps of data management from data collection to data analysis by re-organising excel sheets...
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    Understanding Host-Pathogen Interactions With the Use of Galleria mellonella
    The Galleria mellonella; the larvae of the Greater Wax Moth, is a safe and effective means to study host-pathogen interactions in the undergraduate setting. The use of animal models in the teaching...
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