Support

Support Options

  • Knowledge Base

    Find information on common questions and issues.

  • Support Messages

    Check on the status of your correspondences with members of the QUBES team.

Contact Us

About you
About the problem
  • Discoverability Visible
  • Join Policy Restricted
  • Created 13 Oct 2017

Spring 2020

Two groups, with 13 faculty total, met throughout spring 2020 to learn about and implement NEON data centered teaching materials.  With all participants switching to online teaching part way through the FMN, much of the conversation focused on how to teach data centered activities in an online format. 

Products

Intro to Data Types and Graphing Lab

Stephanie Spera

Version: 2.0

This is the third lab in an Introductory Physical Geography/Environmental Studies course. It introduces students to different data types (qualitative vs quantitative), basic statistical analyses (correlation analysis s, t-test), and graphing techniques.
introductory, Lab, Teaching material, Undergraduate, Dataset, Raw, Cleaned, Majors, Non-majors, More than 1 hour, Promoting Engagement and Self-Efficacy
891
439
0
0
10.2020
Concepts of remote sensing and data logistics, and NEON remote sensing data are introduced. Students learn how to apply spatial data processing and visualization skills using R coding program to process NEON airborne data to address scientific questions.
R, landscape, biomass, Problem Solving, raster raster data processing, spatial data visualization, vegetation indices, canopy, introductory, Lab, Teaching material, Lecture, Undergraduate, Dataset, Cleaned, Graduate, Advanced, Majors, Non-majors, More than 1 hour, Extended Project, Promoting Engagement and Self-Efficacy
800
385
0
0
06.2020

In addition to the resources shared on QUBESHub, Dr. Matthew Aiello-Lammens developed and shared NEON-on-Mobile Data science with NEON on mobile devices. The goal of this work is to provide a means to learn basic data science skills using NEON data on a mobile device

Schedule

Week of...

January 13: What is the NEON Data Education FMN & What is NEON?
January 27: Accessing & Understanding NEON Data
February 10: Backward Design and Writing Student Learning Outcomes
February 24: Assessment in the Biology (& Related) Classroom
March 9: Universal Design
March 23: The OER Lifecycle
April 6: Sharing Week 1
April 20: Sharing Week 2
May 4: Sharing Week 3
May 18: Open Discussion Session/Office Hours - Final Materials Due


Fall 2019

The NEON Data Education FMN in fall 2019 meet all in one group of seven active participants with two co-facilitators. The faculty participants adapted existing NEON educational resources or created new educational resources using NEON data. Most faculty were able to implement their modules during the semester, with some faculty preparing new materials for spring semester. 

Products

Mosquito Vector Ecology of the East Coast using NEON

Courtney Campany, David Kang

Version: 1.0

This data module examines the relationship between mosquito vector ecology and climate across the east coast of the United States. The module is designed to merge core concepts in ecology with budding interests of the largely pre-heath student body.
introductory, Lab, Teaching material, Lecture, Reference material, Undergraduate, Dataset, Homework, Raw, Cleaned, Majors, Non-majors, 1 Hour, Classroom Climate, Promoting Engagement and Self-Efficacy
597
516
0
0
12.2019

Schedule

Aug. 28: What is this FMN, Using QUBESHub &  Intro to NEON 
Sept 11: NEON Data Access Q&A + Teaching Module Outline Sharing   

  1. Complete at least the first three parts of the Get Started with NEON data tutorial series and/or watch the ESA webinar so that you understand how to download NEON data. Depending on your level of familiarity with NEON data this should take 30 minutes to 2 hours.  Please note that the second part of the tutorial is a downloadable PDF that shows the steps to downloading the data. With the recent data portal updates, the screenshots show a slightly different version - I have it on my to do list to update this later today or Thursday. For discussion: Bring any questions or areas you found confusing to the FMN for discussion. 
    1. Tutorial Series
    2. ESA webinar (embedded part way down page; 60 minutes)
  2. Prepare a brief outline of the module you want to create or how you plan to scaffold an existing teaching module into your class.  For discussion: If you have any specific questions or concerns, include these so that we can collectively provide input. Please share the outline with all participants.

Sept 25: Universal Design and Inclusive Pedagogy

Guest Speaker: Dr. Sheryl Burgstahler from the UW DO-IT Center (Disabilities, Opportunities, Internetworking, and Technology; https://www.washington.edu/doit/)    

Reading Prep for meeting (papers available for download from FMN Collections): 

  1. Burgstahler. 2001. Universal Design of Instruction. (A 3-page introduction to the topic.)
  2. Scott et al. 2003, Universal Design for Instruction: A New Paradigm for Adult Instruction in Postsecondary Education.

Resources from Dr. Burgstahler:

  1. Equal Access: Universal Design of Instruction
  2. The Center for Universal Design in Education

Oct. 9: Backward Design and Writing Student Learning Outcomes
Oct. 23: Assessment for Quantitative Reasoning & Data Skills 
Nov. 6: Open Educational Resources & Sharing Teaching Materials
Nov. 20: Sharing Week 1
Dec 4: Sharing Week 2
Dec 18: No meeting - Final Materials Due


Spring 2019 

The NEON Data Education FMN in spring 2019 had fourteen active participants with two co-facilitators. The faculty participants all adapted existing NEON educational resources or created new educational resources using NEON data. Most faculty were able to implement their modules during the semester, with some faculty preparing new materials for summer semester. 

Products

NMDS to Study Dead Wood Fungi Communities in Parks of New Jersey

Maria Shumskaya, Christopher Zambell

Version: 1.0

Students use dead wood (saproxylic) fungi occurrence data from New Jersey, USA collected by students and faculty of Kean University to learn the basics of community ecology. Simple NMDS ordination and Jaccard index is performed using R.
R, RStudio, Community Ecology, Bioinformatics Education, biodiversity informatics, NMDS, fungi, ordination, Teaching material, Undergraduate, Graduate, Advanced
683
362
0
0
07.2019

Schedule

Week of...

January 14: What is this FMN & What is NEON
January 28: Accessing & Understanding NEON Data
February 11: Universal Design
February 25: Successes & Challenges using Data in the Classroom: Article Discussion & Round Table
March 11: Assessment in the Biology Classroom
March 25: Sharing Week 1
April 8: Sharing Week 2
April 22: Sharing Week 3
May 6: The OER Lifecycle
May 20: No meeting - Final Materials Due


Fall 2018

The NEON Data Education FMN in fall 2018 had thirteen active participants with two co-facilitators. The faculty participants all adapted existing NEON educational resources or created new educational resources using NEON data. Most faculty were able to implement their modules during the semester, with some faculty preparing new materials for spring semester. 

Participants in this FMN can find additional meeting details here (Group Member only access). 

Products

This module assesses the role of wildfire in the eastern US and its impact on bird communities using NEON bird survey data from pre- and post- a major wildfire in the Great Smoky Mountains National Park (GRSM) in November 2016.
data manipulation, species richness, ANOVA, species diversity, birds, wildfire, BACI design, Lab, Teaching material, Lecture, Undergraduate, Dataset, Raw, Graduate, Advanced
28.6K
704
0
0
12.2019

Data simulation and randomization tests

James S. Santangelo

Version: 1.0

A participatory live-coding lesson on simulating data and performing randomization tests on ecological data in R.
introductory, Teaching material, Lecture, Reference material, Undergraduate, Dataset, Cleaned, Graduate, Advanced, Majors, More than 1 hour
737
422
0
0
01.2019
A participatory live-coding lesson on working with NEON phenology data and fitting a sine-wave model to determine when different species get and lose their leaves.
modeling, R, phenology, NEON, Rstats, code, participatory live-coding, Lab, Teaching material, Lecture, Undergraduate, Advanced, More than 1 hour
1.2K
778
0
0
12.2018

Schedule

Week of...
Aug 13: What is this FMN & What is NEON
Aug 27: Accessing & Understanding NEON Data
Sept 10: Inquiry in the Classroom
Sept. 24: Successes & Challenges using Data in the Classroom: Article Discussion & Round Table
Oct. 8: Universal Design (Due to holiday, no Monday meeting)
Oct. 22: Sharing Week 1
Nov. 5: Sharing Week 2
Nov. 26: Sharing Week 3
Dec. 3: The OER Lifecycle 
Dec. 21: No meeting - Final Materials Due


Spring 2018 

The inaugural NEON Data Education Fellows FMN in spring 2018 had eleven active participants with two co-facilitators. The faculty participants all adapted existing NEON educational resources or created new educational resources using NEON data. Most faculty were able to implement their modules during the semester, with some faculty preparing materials for summer semester implementation.  

Spring 2018 faculty members who attended the 2018 AGU Fall Meeting presented on their FMN products.  You can view their e-posters: Megan Jones (FMN overview), Adriane Jones (Disturbance Events), Christopher Gough (Carbon Cycling), Kusum Naithani (Spatial Patterns).

Products

Students build on fundamental concepts of spatial patterns and combine this knowledge with the open-data from the National Ecological Observatory Network to quantify spatial autocorrelation and complexity.
R, R Markdown, landscape ecology, group-neon2018, spatial statistics, fractals, rasters, Teaching material, Undergraduate, Dataset, Cleaned, Graduate, Advanced
886
236
0
0
07.2020
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 diverse real-world factors leading up to events offers op
data in the classroom, data interpretation, Temperature Change, precipitation, Palmer Drought Severity Index, Ecological Disturbance, disturbance ecology, introductory, Lab, Teaching material, Lecture, Undergraduate, Majors, Non-majors, 1 Hour, More than 1 hour
1.1K
839
0
0
12.2018
This resource uses an app hosted on QUBES to visualize similarities and differences in Quercus phenology at three NEON sites in California, Florida, and Massachusetts.
ecology, phenology, introductory, Teaching material, Undergraduate, Majors, Non-majors, 1 Hour
1.5K
445
0
0
06.2018

Environmental Drivers of Ecosystem Carbon Fluxes from Minutes to Years

Christopher Gough, Cindee Giffen, Thomas W Woodward

Version: 1.0

Students build on fundamental concepts of ecosystem production and carbon cycling, combining this knowledge with open long-term data from ecological and meteorological networks to uncover the environmental drivers of carbon fluxes.
climate change, carbon, Plant Ecology, Biogeochemistry, carbon cycling, productivity, net ecosystem production, gross primary production, ecosystem respiration, carbon fluxes, introductory, Teaching material, Undergraduate, Graduate, Advanced, Majors, More than 1 hour, Extended Project
2.2K
827
0
0
06.2018
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 their tutorial insights, that could be investigated locally.
data in the classroom, tool:rstudio, phenology, data management, NEON, temperature, Lab, Online course, Teaching material, Undergraduate, Faculty, Homework, Advanced, Extended Project
1.5K
580
0
0
06.2018

CyVerse Tutorials for NEON Data Science Institute 2018

Tyson Lee Swetnam, Megan A. Jones

Version: 1.0

Resource for conducting data intensive research on CyVerse
Tutorial, Reference material, Abstract, Workshop material
1.1K
287
0
0
06.2018
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 order to conduct a pilot analysis on NEON small mammal data.
data management, spreadsheets, mammals, Capture mark-recapture, Teaching material, High School, Undergraduate
1.4K
552
0
0
05.2018

Schedule

The Spring 2018 NEON Data Education Fellows FMN was January 15th to June 4th 2018. 

Jan 17 (W)/Jan 22 (M): Welcome to the FMN & Introduction to NEON Resources 

Jan 29 (M)/ 31 (W): Exploring NEON Data Portal & Data Products

Task for Feb 12th week: We will initially meet as a large group then split into virtual meeting rooms where those individuals (2-4) working on similar lessons can hold more directed discussions and receive feedback on their initial outlines/drafts. Megan and Kristine will move between the small groups. In order to be prepared for these discussions, please upload an initial outline or draft of your teaching module by 12 February 12pm EST (Monday Group)/ 14 February 8am EST (Wednesday Group). If your materials are already publicly available in another format, please add a gDoc to the above folder that provides a URL to your materials.

Feb 12 (M)/ 14 (W): Paired discussion sessions

Task for Feb 26th week: Please read the two papers in the collection here (Group Member only access) for the discussion on Feb 26/28th.  In addition, you can post in the forum any other papers that you've found useful. 
For the discussion, please be ready to discuss the following questions: 

  1. What stuck out about these papers to you? 
  2. Where there methods in either paper that have worked/not worked when you've implemented them in your classroom? 
  3. What other strategies have you found that work well?  
  4. What strategies will you implement as part of your teaching module this spring?
  5. What concerns/questions do you have about working with data in your classroom? 

Feb. 26 (M)/ 28 (W): Successes using Data in the Classroom Article Discussion & Round Table

Task for March 12th week: Update your module outline as needed or bring a list of questions/concerns you have with your module. 

March 12 (M)/ 14 (W): Publication of Datasets/Teaching Materials & Paired Work Sessions

Tasks for March 26th week: Read the articles in the Assessment collection (Group Member only access) and be ready to discuss in the next meeting. If you have specific assessment questions you are struggling with send them to Kristine and Megan prior to Wednesday 21 March so that they can gather information on them.    

March 26 (M)/ 28 (W): Assessment in the Biology Classroom

April 9 (M)/ 11 (W): Sharing Week 1

April 23 (M)/ 25 (W): Sharing Week 2

May 7 (M)/ 9 (W): Sharing Week 3

May 21 (M)/ 23 (W): Publication of Our Modules & Where to go from here

June 4: No meeting - Final Materials Due (Posted as QUBES Resource)