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Tags: Lab

All Categories (101-120 of 440)

  1. CRISPR Gene Editing: Designing the gRNA and Donor Template

    15 Jul 2020 | Teaching Materials | Contributor(s):

    By Laurel Lorenz

    Princeton

    In this adaptation, students learn how CRISPR/Cas9 is used in bacterial immunity and gene editing. Students create both a gRNA target and a donor template to edit a gene. Mutations can be from the...

    https://qubeshub.org/publications/1962/?v=1

  2. Critical inquiry for inclusive teaching of statistics

    28 Jun 2021 | Teaching Materials | Contributor(s):

    By Carrie Diaz Eaton

    Bates College

    Professional development workshop slides to help curate conversations in teaching statistics with a critical inquiry lens.

    https://qubeshub.org/publications/2458/?v=1

  3. Critical Zone Science

    16 Aug 2018 | Teaching Materials | Contributor(s):

    By Michael E Loik

    University of California, Santa Cruz

    My class used Water Balance of a Tree (Unit 5.1) to begin quantifying the fundamental pathways for water movement within a forest. The ultimate goal was to model transpiration of the redwood forest...

    https://qubeshub.org/publications/738/?v=1

  4. Critical Zone Science Part II

    16 Aug 2018 | Teaching Materials | Contributor(s):

    By Michael E Loik

    University of California, Santa Cruz

    As part of our effort to model the redwood forest water budget, we used the InTeGrate Unit 5.2 to put numbers to pathways.

    https://qubeshub.org/publications/739/?v=1

  5. Cross-Scale Interactions (Project EDDIE)

    19 Nov 2019 | Teaching Materials | Contributor(s):

    By Cayelan Carey, Kaitlin Farrell

    Students explore new modeling and computing tools while learning fundamental concepts about how lake phytoplankton blooms occur through cross-scale interactions.

    https://qubeshub.org/publications/1476/?v=1

  6. Dairy Farm Mathematics

    11 Sep 2018 | Teaching Materials | Contributor(s):

    By Richard Francisco1, Katie Gilbert1

    University of Georgia

    We based our instructional unit on the premise that many people have, that one does not need mathematics if the they do not plan on atttending college or pursuiting careers known for involving...

    https://qubeshub.org/publications/783/?v=1

  7. Data Ethics

    19 Mar 2020 | Teaching Materials | Contributor(s):

    By Rebecca Renirie

    Central Michigan University

    Data ethics and the use of digital data

    https://qubeshub.org/publications/1765/?v=1

  8. Data is the New Science

    12 Apr 2019 | Teaching Materials | Contributor(s):

    By Anna Monfils1, Debra Linton1, Libby Ellwood2, Molly Phillips3

    1. Central Michigan University 2. iDigBio 3. iDigBio, Florida Museum of Natural History, University of Florida

    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...

    https://qubeshub.org/publications/1138/?v=1

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

    10 Jan 2020 | Teaching Materials | Contributor(s):

    By Darlene Panvini

    Belmont University

    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...

    https://qubeshub.org/publications/1735/?v=1

  10. Data Management Adaptation: Correlating Forest Community Dynamics to Climate

    19 Dec 2018 | Datasets | Contributor(s):

    By Sarah McCarthy-Neumann

    Alma College

    Students use vegetation structure data from the National Ecological Observatory Network to understand necessary steps of data management from data collection to data analysis by correlating...

    https://qubeshub.org/publications/959/?v=1

  11. Data management and introduction to QGIS and RStudio for spatial analysis

    22 May 2020 | Datasets | Contributor(s):

    By Meghan Graham MacLean

    University of Massachusetts Amherst

    Students learn about the importance of good data management and begin to explore QGIS and RStudio for spatial analysis purposes. Students will explore National Land Cover Database raster data and...

    https://qubeshub.org/publications/1858/?v=1

  12. Data Management in Excel and R using National Ecological Observatory Network's (NEON) Small Mammal Data

    13 Jan 2021 | Datasets | Contributor(s):

    By Marguerite Mauritz1, Sarah McCord2

    1. University of Texas at El Paso 2. USDA ARS Jornada Experimental Range

    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...

    https://qubeshub.org/publications/2215/?v=1

  13. Data Management using National Ecological Observatory Network's (NEON) Small Mammal Data with Accompanying Lesson on Mark Recapture Analysis

    19 Feb 2018 | Datasets | Contributor(s):

    By Jim McNeil1, Megan A. Jones2

    1. George Mason University; Smithsonian-Mason School of Conservation 2. National Ecological Observatory Network

    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 estimating small mammal...

    https://qubeshub.org/publications/347/?v=1

  14. Data Management using National Ecological Observatory Network's (NEON) Small Mammal Data with Accompanying Lesson on Mark Recapture Analysis

    17 Apr 2018 | Datasets | Contributor(s):

    By Jim McNeil1, Megan A. Jones2

    1. George Mason University; Smithsonian-Mason School of Conservation 2. National Ecological Observatory Network

    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 estimating small mammal...

    https://qubeshub.org/publications/347/?v=2

  15. Data Management using National Ecological Observatory Network's (NEON) Small Mammal Data with Accompanying Lesson on Mark Recapture Analysis

    19 Jun 2018 | Datasets | Contributor(s):

    By Jim McNeil1, Megan A. Jones2

    1. George Mason University; Smithsonian-Mason School of Conservation 2. National Ecological Observatory Network

    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 estimating small mammal...

    https://qubeshub.org/publications/347/?v=3

  16. Data Nugget Grading Rubrics

    14 Jan 2018 | Teaching Materials | Contributor(s):

    By Brenda Witt

    Redlands Community College

    As a supplement to the rubric provided for Data Nugget modules, I created a rubric containing specific point values for individual portions of the module as well as specific guidelines for...

    https://qubeshub.org/publications/296/?v=1

  17. Data Nugget- City Parks and Texas A&M University-Kingsville Camera Trap Assignment

    19 Mar 2018 | Teaching Materials | Contributor(s):

    By April Torres Conkey

    Texas A&M University-Kingsville

    The Data Nugget- City Parks module was used in a sophomore-junior level undergraduate wildlife management techniques course (with lab) in Fall 2017. Modifications were made to the original Data...

    https://qubeshub.org/publications/414/?v=1

  18. Data Visualization

    23 Mar 2020 | Teaching Materials | Contributor(s):

    By Anna Monfils

    Central Michigan University

    This is an introduction to the idea of data visualization and the importance of presenting data for understanding.

    https://qubeshub.org/publications/1776/?v=1

  19. Databases: A Study of Influenza

    09 Jan 2020 | Teaching Materials | Contributor(s):

    By Selene Nikaido

    University of Central Missouri

    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...

    https://qubeshub.org/publications/1642/?v=1

  20. DataONE Module 01: Why Data Management?

    30 Oct 2018 | Teaching Materials | Contributor(s):

    By Amber E Budden

    DataONE

    Trends in data collection, storage and loss, the importance and benefits of data management, and an introduction to the data life cycle.

    https://qubeshub.org/publications/911/?v=1