Tags: data in the classroom

Resources (1-20 of 25)

  1. Cleaning Biodiversity Data: A Botanical Example Using Excel or RStudio

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

    By Michelle Gaynor

    University of Florida

    Access and clean an open source herbarium dataset using Excel or RStudio.

    https://qubeshub.org/publications/1964/?v=1

  2. Cleaning Biodiversity Data: Excel

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

    By Debra Linton1, Molly Phillips2

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

    Access and clean an open source polar bear dataset using Excel.

    https://qubeshub.org/publications/1899/?v=1

  3. The Power of Data Standards

    22 May 2020 | Teaching Materials | Contributor(s):

    By Michaeleen Gerken Golay1, Darlene Panvini2, Molly Phillips3, Heather Susanne Zimbler-DeLorenzo4

    1. Wartburg College 2. Belmont University 3. iDigBio, Florida Museum of Natural History, University of Florida 4. Alfred University

    Investigate data standards within the context of the Alpine Chipmunk and the Grinnell Study.

    https://qubeshub.org/publications/1842/?v=1

  4. Following the Data

    04 May 2020 | Teaching Materials | Contributor(s):

    By Anna Monfils1, Debra Linton1, Molly Phillips2, Libby Ellwood3

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

    The video and exercise provides insight into how researchers are using digital data resources to investigate biodiversity in prairie fen wetlands.

    https://qubeshub.org/publications/1137/?v=1

  5. 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

  6. Communicating with Data: Digital Data Resources

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

    By Anna Monfils1, Debra Linton1

    Central Michigan University

    Students access, clean, configure, and standardize a dataset and create a relevant and scientifically valid data visualization to communicate science.

    https://qubeshub.org/publications/1779/?v=1

  7. Communicating with Data: Infographic with Digital Data

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

    By Anna Monfils1, Debra Linton1

    Central Michigan University

    Working collaboratively in teams of 2-4 researchers, students engage in targeted projects to address critical information and research needs using digital biodiversity data.

    https://qubeshub.org/publications/1778/?v=1

  8. GBIF Tutorial - BLUE Resource

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

    By Libby Ellwood

    iDigBio

    A user guide and video instructions for GBIF

    https://qubeshub.org/publications/1770/?v=1

  9. iDigBio Tutorial - BLUE Resource

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

    By Molly Phillips

    iDigBio, Florida Museum of Natural History, University of Florida

    A user guide and video instructions for iDigBio

    https://qubeshub.org/publications/1771/?v=1

  10. Arctos Tutorial - BLUE Resource

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

    By Erica Krimmel

    iDigBio, Florida State University

    A user guide and video instructions for Arctos

    https://qubeshub.org/publications/1768/?v=1

  11. Backward Design with Digital Data

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

    By Debra Linton1, Libby Ellwood2, Molly Phillips3, Erica Krimmel4, Natalie Douglas, Anna Monfils1

    1. Central Michigan University 2. iDigBio 3. iDigBio, Florida Museum of Natural History, University of Florida 4. iDigBio, Florida State University

    Best practices for designing educational modules using biodiversity data

    https://qubeshub.org/publications/1764/?v=1

  12. 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

  13. An Introduction to Biodiversity Databases and Specimen Images

    04 Dec 2019 | Teaching Materials | Contributor(s):

    By Amanda Fisher

    Long Beach State University

    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...

    https://qubeshub.org/publications/1493/?v=1

  14. 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

  15. Amphibian Diversity: Species Richness and Precipitation

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

    By Debra Linton1, Anna Monfils1, Molly Phillips2, Libby Ellwood3

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

    This activity will explore how natural history specimen data can be used to investigate the relationship between precipitation levels in a region and species diversity of amphibians.

    https://qubeshub.org/publications/1101/?v=1

  16. Species Range Over Space and Time

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

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

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

    In this module, students use data from natural history collections to look at range shifts related to climate variables over different time periods.

    https://qubeshub.org/publications/1106/?v=1

  17. Exploring Data with BISON

    14 Mar 2019 | Teaching Materials | Contributor(s):

    By Erica Krimmel

    Natural History Museum of Los Angeles County

    A module to explore aggregated observation and collection information, through BISON, or Biodiversity Information Serving Our Nation (https://bison.usgs.gov), a tool for visualizing GBIF data.

    https://qubeshub.org/publications/1102/?v=1

  18. Getting students to reason with data: QUBES tools and teaching resources built for introductory biology

    21 Feb 2019 | Teaching Materials | Contributor(s):

    By Sam S Donovan

    University of Pittsburgh

    Workshop presented at the 2019 Biology Learning Community Conference

    https://qubeshub.org/publications/1088/?v=1

  19. NEON Data in the Classroom: Implementing and Adapting an Open Education NEON Resource “Quantifying the Drivers and Impacts of Natural Disturbance Events-The 2013 Colorado Floods” for the Southern California Classroom.

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

    By Adriane Clark Jones

    Mount Saint Mary's University

    Natural disasters and subsequent ecological disturbance events illustrate the complexity of problems in ecology and environmental science, and can be used as effective teaching tools. Unpacking the...

    https://qubeshub.org/publications/954/?v=1

  20. Gaining familiarity with R and Work with NEON OS & IS data – Plant phenology & temperature - adaptation

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

    By Nancy Cowden

    Lynchburg College

    This adaptation introduces students to R and the NEON OS & IS data – Plant Phenology & Temperature tutorial. A planned extension will prompt students to develop a testable hypothesis, based on...

    https://qubeshub.org/publications/624/?v=1