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  1. A Changing Climate in the Hawaiian Wet Forest: In-Person and Virtual Curriculum for Field Courses at Puʻu Makaʻala NAR

    11 Oct 2021 | Teaching Materials | Contributor(s):

    By Teaching Change

    Curriculum for Puʻu Makaʻala Huakaʻi with the National Ecological Observatory Network (NEON), developed by Teaching Change. This module was created to guide Teaching Change Field Courses at Puʻu...

    https://qubeshub.org/publications/2763/?v=1

  2. Access NEON Data Using the Data Portal – A Visual Guide

    Collections | 17 Jan 2019 | Posted by Megan A. Jones Patterson

    https://qubeshub.org/community/groups/neon2018/collections/resources-for-working-with-neon-data

  3. Adaptation of Plants in the Human-Altered Environment (PHAE) for a non-lab course on biodiversity conservation

    12 May 2021 | Teaching Materials | Contributor(s):

    By Emily Nodine

    Rollins College

    PHAE is a project to compare effects of landscape alteration intensities on plant biomass and diversity. This adaptation modifies the (adapted) modules for a non-lab course on conservation,...

    https://qubeshub.org/publications/2356/?v=1

  4. Adapting "Lichens in Diverse Landscapes" for Independent Projects in BIO 3317 Ecology at McDaniel College

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

    By Holly Martinson

    McDaniel College

    This adaptation shows how students in Ecology at McDaniel College used the Lichens in Diverse Landscapes Module 2 (Lichens in YOUR Local Landscape) in Fall 2020.

    https://qubeshub.org/publications/2181/?v=1

  5. An Adaptation of "Lichens in Diverse Landscapes" for BIO 3400 Ecology at Greensboro College

    08 Dec 2020 | Teaching Materials | Contributor(s):

    By Sandra Cooke

    Greensboro College

    This resource includes a lichen data analysis lab that I adapted for students in BIO 3400 Ecology, an upper level in person course at Greensboro College that met during the Fall 2020 semester.

    https://qubeshub.org/publications/2179/?v=1

  6. An Adaptation of "Plants in the Human-Altered Environment (PHAE)" for 100% Remote Learning at East Stroudsburg University

    11 Dec 2020 | Teaching Materials | Contributor(s):

    By Emily Rollinson

    East Stroudsburg University

    PHAE is a project to compare effects of landscape alteration intensities on plant diversity. This adaptation modified and extends the modules to suit fully remote learning (data collected...

    https://qubeshub.org/publications/2190/?v=1

  7. Backyard Beetles + Pollinators for a non-lab course on biodiversity conservation

    12 May 2021 | Teaching Materials | Contributor(s):

    By Emily Nodine

    Rollins College

    Backyard Beetles + Pollinators is a project to observe and evaluate plant-pollinator networks. This adaptation modifies the (adapted) modules for a non-lab course on conservation, conducted during...

    https://qubeshub.org/publications/2357/?v=1

  8. Backyard Beetles + Pollinators Lab for BIO 3400 Ecology at Greensboro College

    08 Dec 2020 | Teaching Materials | Contributor(s):

    By Sandra Cooke

    Greensboro College

    This contains Dr. Sandra Cooke's modifications to the EREN-NEON FLP Backyard Beetles + Pollinators project developed for BIO 3400 Ecology, an upper level course taught in person at Greensboro...

    https://qubeshub.org/publications/2178/?v=1

  9. Backyard Beetles + Pollinators: EREN-NEON Flexible Learning Project

    18 Aug 2020 | Teaching Materials | Contributor(s):

    By Kaitlin Stack Whitney

    Rochester Institute of Technology

    Students observe insect pollinators and other floral visitors in their backyards, or campus, or nearby natural areas to describe plant-pollinator networks and assess how the assemblages from their...

    https://qubeshub.org/publications/2063/?v=1

  10. Cassie Bott-Baxter

    https://qubeshub.org/community/members/30828

  11. 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

  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 | 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

  14. 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

  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. Eric Sokol

    https://qubeshub.org/community/members/16407

  17. Explore NEON Workshop: Opportunity for Graduate Students Interested in Using NEON Data

    28 Sep 2018 | Posted by Elia Crisucci

    Are you a graduate student, or do you know a graduate student, looking for a source of continental scale ecological data -- all available for free!? Interested in using National Ecological...

    https://qubeshub.org/news/blog/2018/09/explore-neon-workshop--opportunity-for-graduate-students-interested-in-using-neon-data

  18. 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

  19. Glenda Almodovar

    https://qubeshub.org/community/members/6217

  20. Implementing Flexible Learning Projects to support authentic research experiences in Ecology (BIO 3317) at McDaniel College

    03 May 2021 | Teaching Materials | Contributor(s):

    By Holly Martinson

    McDaniel College

    This adaptation highlights the utility of the Lichens in YOUR Local Landscape module for teaching field skills, quantitative analysis across scales, and for writing research papers.

    https://qubeshub.org/publications/2335/?v=1

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