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    DataONE Module 01: Why Data Management?
    Trends in data collection, storage and loss, the importance and benefits of data management, and an introduction to the data life cycle.
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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

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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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    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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    Promoting Interleaved and Spaced Practice in Anatomy and Physiology Students
    Students' academic performance in college can be impacted by varying background experiences and skill levels. This article describes a lesson designed for undergraduate Anatomy and Physiology...
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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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    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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    Collections Education Coffee Break Series Episode One: What Can We Learn From an Insect Specimen Label?
    In the first episode of the Collections Education Coffee Break Series we speak with Anne Basham from SCAN and the Biodiversity Outreach Network. ...
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    Faculty Mentoring Networks: Community Professional Development for the Digital Age
    Poster for Partners@QUBES Leadership Summit 2020 What is an FMN? What is it like to be in one? What are the benefits?

    Keywords: fmn

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    Wing Aspect Ratio and Morphological Measurement Analysis Relating to Bird Flight and Natural History
    This activity simulates analysis and identification of bird specimens based on the relationship of the natural history of bird species with the morphographic measurements and ratios compared to...
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    Tiny Earth: Studentsourcing antibiotic discovery
    Poster on Tiny Earth presented at the 2020 BIOME Institute: Cultivating Scientific Curiosity
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    Undergraduate Research Experiences in Computational Science at a Community College
    Resource from the 2015 BioQUEST Summer Workshop
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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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    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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