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  1. Graphing grouped continuous data in R with swirl

    Graphing grouped continuous data in R with swirl

    2020-01-13 20:13:06 | Teaching Materials | Contributor(s): Marney Pratt | doi:10.25334/FM8B-PM89

    This lesson helps students know some of the options for how to graph grouped continuous data (such as those involved in doing a t-test or ANOVA) and how to choose the best option.

  2. Conducting Analysis of Variance (ANOVA) in R with swirl

    Conducting Analysis of Variance (ANOVA) in R with swirl

    2020-01-13 20:00:00 | Teaching Materials | Contributor(s): Kevin Geyer | doi:10.25334/92KV-EH29

    This lesson offers an introduction to ANOVA, including 1) how this statistical test can be differentiated from others and 2) a step-by-step guide to conducting and interpreting ANOVA results in R, including assumption testing and post-hoc analysis.

  3. Interpreting one-factor ANOVA in R with swirl

    Interpreting one-factor ANOVA in R with swirl

    2020-01-13 19:37:01 | Teaching Materials | Contributor(s): Jeremy Claisse | doi:10.25334/SA4D-PF95

    Interpreting One-Factor Analysis of Variance (ANOVA)

  4. Checking Normality in R with swirl

    Checking Normality in R with swirl

    2020-01-13 19:30:34 | Teaching Materials | Contributor(s): Bill Morgan | doi:10.25334/PQ79-N018

    How to use the "three-prong" approach to check for normality

  5. One-way ANOVA in R with swirl

    One-way ANOVA in R with swirl

    2020-01-13 19:18:39 | Teaching Materials | Contributor(s): Bengt Allen | doi:10.25334/2MRV-SA62

    One-way analysis of variance (ANOVA), following the text in Chapter 5 of Beckerman et al. (2017) Getting started with R: an introduction for biologists, 2nd edition.

  6. Soil Respiration Module

    Soil Respiration Module

    2020-01-13 19:09:13 | Teaching Materials | Contributor(s): Jessica Kleiss | doi:10.25334/3CRR-K625

    Soils hold more carbon (C) than any other component of the terrestrial biosphere!

  7. Rates of climate change: ice ages and today

    Rates of climate change: ice ages and today

    2020-01-13 19:02:13 | Teaching Materials | Contributor(s): Jessica Kleiss | doi:10.25334/Z2FV-WQ38

    Students explore rates of changes of temperature and atmospheric CO2 from the Vostok ice core record. They compare these rates to modern rates of climate change from the Keeling curve and GISS global temperature data set.

  8. Following the Data - PowerPoint Addition to Module

    Following the Data - PowerPoint Addition to Module

    2020-01-10 21:29:24 | Teaching Materials | Contributor(s): Darlene Panvini | doi:10.25334/731M-8788

    This PowerPoint presentation guides instructors and students through the key background information for the module.

  9. Data is the New Science - Modified and combined with Following the Data Module

    Data is the New Science - Modified and combined with Following the Data Module

    2020-01-10 20:52:41 | Teaching Materials | Contributor(s): Darlene Panvini | doi:10.25334/RN01-VX30

    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 what they have learned to research a question.

  10. BLAST Exercises for Analyzing Cloning Results

    BLAST Exercises for Analyzing Cloning Results

    2020-01-10 01:47:33 | Teaching Materials | Contributor(s): Erin R. Morris | doi:10.25334/YY9D-4W75

    Genome Solver began as a way to teach undergraduate faculty some basic skills in bioinformatics; no coding or scripting is required. These activities have modified Lesson 1: Introduction to Genome Solver.

  11. Databases:  A Study of Influenza

    Databases: A Study of Influenza

    2020-01-09 21:35:48 | Teaching Materials | Contributor(s): Selene Nikaido | doi:10.25334/Z8VP-G378

    This lesson introduces the student to the Influenza Research Database. Students will select Influenza genome sequences to see how they are related. Students tests hypotheses about evolutionary ideas involving reassortment in Influenza.

  12. Introduction to Genome Annotation

    Introduction to Genome Annotation

    2020-01-09 21:32:41 | Teaching Materials | Contributor(s): Selene Nikaido | doi:10.25334/2ANZ-SV60

    This exercise is an adaptation of the Annotation Lesson by Rosenwald et al. It introduces the use of bioinformatics tools to extract information from genome databases. It is a basic lesson on genome annotation databases.

  13. BLAST-HGT PROJECT

    BLAST-HGT PROJECT

    2020-01-08 04:30:57 | Teaching Materials | Contributor(s): Shawna Reed | doi:10.25334/JX5K-4E39

    Genome Solver modules were combined to make one project for students using tools within NCBI BLAST to explore phylogenetics and horizontal gene transfer from phage to Chlamydia.

  14. Testing hypotheses about the role of wildfire in structuring avian communities

    Testing hypotheses about the role of wildfire in structuring avian communities

    2019-12-19 17:02:45 | Teaching Materials | Contributor(s): Lesley Bulluck | doi:10.25334/R2S1-4S62

    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 Park (GRSM) in November 2016.

  15. Data Analysis and Cancer

    Data Analysis and Cancer

    2019-12-18 21:51:34 | Teaching Materials | Contributor(s): Lynn Marie Diener | doi:10.25334/BTAS-Z679

    This is a flipped classroom approach, students will learn the basic content about cell-signaling, p53, and transcription factors before class. During class students will focus on data analysis applying what they learned to their interpretation of the data

  16. Analyzing current and past climate data

    Analyzing current and past climate data

    2019-12-18 15:33:34 | Teaching Materials | Contributor(s): Sarah Beth Cadieux | doi:10.25334/V7K2-0F15

    Students analyze current and past temperature and carbon dioxide data in order to interpret how current climate change is related to climate over the past 450,000 years. Objectives: • Are global temperatures rising? • Are CO2 levels rising? • What is

  17. Biodiversity research using digitized, internet-based natural history collections

    Biodiversity research using digitized, internet-based natural history collections

    2019-12-17 19:26:39 | Teaching Materials | Contributor(s): Kaitlin Stack Whitney | doi:10.25334/RSKN-MQ83

    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 origins, problems, and current uses of collections.

  18. Mosquito Vector Ecology of the East Coast using NEON

    Mosquito Vector Ecology of the East Coast using NEON

    2019-12-17 00:56:37 | Teaching Materials | Contributor(s): Courtney Campany, David Kang | doi:10.25334/25CW-6988

    This data module examines the relationship between mosquito vector ecology and climate across the east coast of the United States. The module is designed to merge core concepts in ecology with budding interests of the largely pre-heath student body.

  19. Online, 10-minute adaptation of Biobyte 1 – Where are we in the data science landscape?

    Online, 10-minute adaptation of Biobyte 1 – Where are we in the data science landscape?

    2019-12-11 01:19:11 | Teaching Materials | Contributor(s): Megan A. Jones | doi:10.25334/D20F-P060

    Adaptation for 10 minute activity in an online meeting to introduce the NAS Data Science For Undergraduates report's definition of data acumen and engage participants in a self assessment of how they connect with those 10 data science concepts.

  20. Bacteria Transformation

    Bacteria Transformation

    2019-12-03 00:14:27 | Teaching Materials | Contributor(s): Matthew Zelisko, Kimberly Anderson | doi:10.25334/1J75-A813

    TeachEngineering resource in which students construct paper recombinant plasmids to simulate the methods genetic engineers use to create modified bacteria.