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  1. 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

  2. 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

  3. 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

  4. 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

  5. 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

  6. 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

  7. 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

  8. 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

  9. DataONE Module 01: Why Data Management?

    out of 5 stars 

    03 Jan 2016 |

    This resource has been updated - find the current version here: https://qubeshub.org/qubesresources/publications/911Trends in data collection, storage and loss, the importance and benefits of data management, and an introduction to the data life cycle.Slides (PPTX)One page...

  10. 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

  11. DataONE Module 02: Data Sharing

    out of 5 stars 

    02 Jan 2016 |

    This resource has been updated - find the current version here: https://qubeshub.org/qubesresources/publications/909Data 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.Slides...

  12. 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

  13. DataONE Module 03: Data Management Planning

    out of 5 stars 

    03 Jan 2016 |

    This resource has been updated - find the current version here: https://qubeshub.org/qubesresources/publications/910Benefits of a data management plan (DMP), DMP components, tools for creating a DMP, NSF DMP information, and a sample DMP.Slides (PPTX)One page handout...

  14. 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

  15. 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

  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. 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

  18. 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

  19. 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

  20. Katie Pearson

    https://qubeshub.org/community/members/16819

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