Using the QUBES platform and NEON faculty mentoring networks to build, adapt, and publish data-driven open educational resources

07 Aug 2020 | Contributor(s): Kusum Naithani, Megan A. Jones, Kristine Grayson | doi:10.25334/PEJ1-HH75

This video provides an overview of the NEON Data Education Faculty Mentoring Networks and an example of published QUBES resource implementation in the classroom.

Diversity, Equity, and Inclusion in Ecology: Introducing the Environmental Data Science Inclusion Network (EDSIN)

21 May 2020 | Contributor(s): Alycia Crall, Carrie Diaz Eaton, Megan A. Jones, Claire Lunch, Katherine Jones | doi:10.25334/APV6-5X69

The Environmental Data Science Inclusion Network (EDSIN) was launched in the spring of 2019 following an NSF INCLUDES conference. This poster, summarizing the event, was presented at the 2019 Ecological Society of America conference.

Online, 10-minute adaptation of Biobyte 1 – Where are we in the data science landscape?

10 Dec 2019 | Contributor(s): Megan A. Jones | doi:10.25334/D20F-P060

Adaptation for 10 minute activity in an online meeting to introduce the NAS Data Science For Undergraduates report's definition of data acumen and engage participants in a self assessment of how they connect with those 10 data science concepts.

NEON Data in the Classroom: Using the QUBES Platform and Faculty Mentoring Networks to Build, Adapt, and Publish Data­-Driven Teaching Resources

13 Aug 2019 | Contributor(s): Kusum Naithani, Megan A. Jones, Kristine Grayson | doi:10.25334/W83X-S558

The NEON FMN has been offered for three semesters with 37 faculty participating, resulted in a wide variety of new and adapted modules being publicly available.

NEON Data in the Classroom: Using the QUBES Platform and Faculty Mentoring Networks to Build, Adapt, and Publish Data-Driven Open Educational Resources

30 Jul 2019 | Contributor(s): Kusum Naithani, Megan A. Jones, Kristine Grayson | doi:10.25334/GCAJ-9N70

Poster on the NEON Faculty Mentoring Network presented at the 2019 BioQUEST & QUBES Summer Workshop

National Ecological Observatory Network: A Data Source For Your Classroom

11 Jul 2019 | Contributor(s): Megan A. Jones | doi:10.25334/ANZ7-5T53

Poster on NEON resources for use in research and education presented at the 2019 BioQUEST & QUBES Summer Workshop.

National Ecological Observatory Network: A Data Source For Your Classroom

26 Jun 2019 | Contributor(s): Megan A. Jones | doi:10.25334/RMMQ-X854

Abstract for a poster on NEON resources for use in research and education presented at the 2019 BioQUEST & QUBES Summer Workshop.

NEON Data in the Classroom: Using the QUBES Platform and Faculty Mentoring Networks to Build, Adapt, and Publish Data-Driven Open Educational Resources

26 Jun 2019 | Contributor(s): Kusum Naithani, Megan A. Jones, Kristine Grayson | doi:10.25334/42A5-S035

Abstract for poster on the NEON Faculty Mentoring Network presented at the 2019 BioQUEST & QUBES Summer Workshop

NEON Data in the Classroom: Faculty Mentoring Networks Offer a Low-Investment High-Output Means of Creating and Implementing Data-Centric Classroom Materials

20 Dec 2018 | Contributor(s): Megan A. Jones | doi:10.25334/Q4CX4K

This ePoster presents the Faculty Mentoring Network model as a way to support faculty creation and implementation of data-centric classroom teaching activities. It focuses on the NEON Data Education FMN.

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

19 Jun 2018 | Contributor(s): Jim McNeil, Megan A. Jones | doi:10.25334/Q4M121

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 population sizes using the Lincoln-Peterson model.

CyVerse Tutorials for NEON Data Science Institute 2018

11 Jun 2018 | Contributor(s): Tyson Lee Swetnam, Megan A. Jones | doi:10.25334/Q48T4M

Resource for conducting data intensive research on CyVerse

National Ecological Observatory Network: A Data Source For Your Classroom

15 Jun 2018 | Contributor(s): Megan A. Jones | doi:10.25334/Q4BT5M

Poster on the National Ecological Observatory Network and using NEON data and resources in your classroom presented at the 2018 QUBES/BioQUEST Summer Workshop

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

11 Jun 2018 | Contributor(s): Nancy Cowden | doi:10.25334/Q4QX4P

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.

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

18 May 2018 | Contributor(s): Raisa Hernández-Pacheco | doi:10.25334/Q44X4D

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.

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

10 May 2018 | Contributor(s): Megan A. Jones, Lee F. Stanish, Natalie Robinson, Katherine D. Jones, Cody Flagg | doi:10.25334/Q4DQ3F

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 temperature data; has been used in undergraduate classrooms.

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

17 Apr 2018 | Contributor(s): Jim McNeil, Megan A. Jones | doi:10.25334/Q4HM6G

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 population sizes using the Lincoln-Peterson model.

NEON data in undergraduate ecology courses: Data skills and learning opportunities

07 Mar 2018 | Contributor(s): Wendy Gram, Megan A. Jones | doi:10.25334/Q41T32

Presentation made by Wendy Gram et al. as part of the "Bringing Research Data to the Ecology Classroom: Opportunities, Barriers, and Next Steps” Session at the Ecological Society of America annual meeting, August 8th, 2017, Portland Oregon

Quantifying The Drivers and Impacts of Natural Disturbance Events – The 2013 Colorado Floods

19 Feb 2018 | Contributor(s): Leah Wasser, Megan A. Jones | doi:10.25334/Q4P09Z

This lesson focuses on ways that scientists identify and use data to understand ecological disturbance events using data from five public datasets. The main lesson focused on interpretation of figures, while optional coding extensions teach R skills.

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

19 Feb 2018 | Contributor(s): Jim McNeil, Megan A. Jones | doi:10.25334/Q4XH5S

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 population sizes using the Lincoln-Peterson model.

NEON data in undergraduate ecology courses: Data skills and learning opportunities

15 Aug 2017 | Contributor(s): Wendy Gram, Megan A. Jones | doi:10.25334/Q4RQ25

Presentation made by Wendy Gram et al. as part of the "Bringing Research Data to the Ecology Classroom: Opportunities, Barriers, and Next Steps” Session at the Ecological Society of America annual meeting, August 8th, 2017, Portland Oregon