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Teaching Materials (1-20 of 20)

  1. Database Construction and Sampling

    16 Aug 2024 | Teaching Materials | Contributor(s):

    By D. Timothy Gerber1, David M. Reineke1

    University of Wisconsin

    Creating your own database is an excellent way for students to learn the trials and tribulations of data collection and management. Construction of three simple databases using a spreadsheet is...

    https://qubeshub.org/publications/4940/?v=1

  2. Breaking It Down: What Factors Control Microbial Decomposition Rates?

    15 May 2024 | Teaching Materials | Contributor(s):

    By Brian M. Connolly*1, Nigel D'Souza2, Naupaka Zimmerman3, John Zobitz4

    1. Gonzaga University 2. Gonzaga Univeristy 3. University of San Francisco 4. Augsburg University

    Demonstrating and modeling changes in ecosystem processes in the laboratory classroom can be logistically difficult and expensive. This complexity often leaves little time for students to generate...

    https://qubeshub.org/publications/4752/?v=1

  3. BCEENET- Broadening undergraduate participation in ecology and evolution research through CUREs using digitized natural history collections data (RCN-UBE Introduction)

    29 May 2023 | Teaching Materials | Contributor(s):

    By Janice L. Krumm1, Carly N. Jordan2, Liz Shea3, Jean L Woods4, Cecily D Bronson5

    1. Widener University 2. The George Washington University 3. Delaware Museum of Nature and Science 4. Bethel College, Kansas 5. BCEENET

    Biological Collections in Ecology and Evolution Network (BCEENET) brings together natural history collections (NHC) professionals, undergraduate educators, data experts, and researchers to support...

    https://qubeshub.org/publications/4351/?v=1

  4. Identifiers in Digital Natural History Collections

    29 May 2023 | Teaching Materials | Contributor(s):

    By Vicky Zhao Chan

    Stanford University

    This is a collection of resources focusing on GUIDs (Globally Unique Identifiers) on what they are, what role they play in digital natural history collections, and how to incorporate them in...

    https://qubeshub.org/publications/4380/?v=1

  5. RAT ATTACK! Population growth

    07 Apr 2023 | Teaching Materials | Contributor(s):

    By Kiersten Newtoff1, Gina Wesley1, Will Gretes2, Allison Bell2, Kelly Livernoche1, Sean McNamara3, Jeff Leips4

    1. Montgomery College 2. Howard Community College 3. Community College of Baltimore County 4. University of Maryland Baltimore County

    This module contains exercises focused on the use and interpretation of density independent and density dependent population growth models. Students build logistic and exponential growth models in...

    https://qubeshub.org/publications/4005/?v=1

  6. Distributions CURE- Exploring Species Distribution Changes and their Drivers

    24 Aug 2022 | Teaching Materials | Contributor(s):

    By Tiffany Marie Doan1, Tanya Dewey2, John Carroll3, Liz Alter4

    1. New College of Florida 2. Colorado State University and the Animal Diversity Web (animaldiversity.org) 3. Georgia Southern University 4. CSUMB

    This course-based undergraduate research experience (CURE) uses digitized natural history collections data to answer questions about species distributions and their drivers. This inclusive CURE can...

    https://qubeshub.org/publications/2349/?v=1

  7. Sexual Dimorphism CURE: Exploring Melanized Wing Patterns of Pieridae Butterflies

    18 Aug 2022 | Teaching Materials | Contributor(s):

    By Paula A Trillo1, Elissa Suphapun Sorojsrisom2, Carly N. Jordan3, Janice L. Krumm4

    1. Gettysburg College 2. Columbia University 3. George Washington University 4. Widener University

    Teach a Course-based Undergraduate Research Experience (CURE) using digitized natural history collections data to test hypotheses on sexually dimorphic wing melanization patterns of Pieris rapae...

    https://qubeshub.org/publications/3250/?v=1

  8. Introduction to Data Management, Life History, and Demography

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

    By Risa Cohen

    Learning Goals:•explain importance of data management•identify elements of an organized data sheet•create & manipulate data in a spreadsheet •calculate vital statistics using life tables•collect,...

    https://qubeshub.org/publications/1872/?v=1

  9. Introduction to Data Management and Metadata using NEON aquatic macroinvertebrate data

    30 Sep 2019 | Teaching Materials | Contributor(s):

    By Kaitlin Stack Whitney

    Rochester Institute of Technology

    This lesson focuses on understanding metadata, the data about the data, using aquatic macroinvertebrate abundance and species information from a variety of NEON sampling locations.

    https://qubeshub.org/publications/1429/?v=1

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

    19 Dec 2018 | Teaching Materials | 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. 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

  12. DataONE Module 03: Data Management Planning

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

    By Amber E Budden

    DataONE

    Benefits of a data management plan (DMP), DMP components, tools for creating a DMP, NSF DMP information, and a sample DMP.

    https://qubeshub.org/publications/910/?v=1

  13. DataONE Module 02: Data Sharing

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

    By Amber E Budden

    DataONE

    Data sharing in the context of the data life cycle, the value of sharing data, concerns about sharing data, and methods and best practices for sharing data.

    https://qubeshub.org/publications/909/?v=1

  14. BIO 439/539: Big Data Analysis

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

    By Rachel Schwartz1, Linda Forrester1

    University of Rhode Island

    Course materials for BIO 439/539: Big Data Analysis

    https://qubeshub.org/publications/884/?v=1

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

    19 Jun 2018 | Teaching Materials | 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. 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

  17. More In Depth Spreadsheet Management Adaptation of Data Management using NEON Small Mammal Data

    18 May 2018 | Teaching Materials | Contributor(s):

    By Raisa Hernández-Pacheco

    California State University, Long Beach

    This adaptation consists of three exercises that introduce students to 1) format spreadsheet data tables, 2) carry out spreadsheet quality control, and 3) count/sort/filter data of interest in...

    https://qubeshub.org/publications/567/?v=1

  18. Large Datasets in R - Plant Phenology & Temperature Data from NEON

    10 May 2018 | Teaching Materials | Contributor(s):

    By Megan A. Jones1, Lee F. Stanish2, Natalie Robinson2, Katherine D. Jones2, Cody Flagg2

    1. National Ecological Observatory Network 2. National Ecological Observatory Network – Battelle

    This module series covers how to import, manipulate, format and plot time series data stored in .csv format in R. Originally designed to teach researchers to use NEON plant phenology and air...

    https://qubeshub.org/publications/515/?v=1

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

    17 Apr 2018 | Teaching Materials | 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

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

    19 Feb 2018 | Teaching Materials | 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

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