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Population Demography in Swirl
26 Sep 2019 | Teaching Materials | Contributor(s):
By Emily Weigel
Georgia Institute of Technology
The students will learn to generate, test, and graphically represent basic hypotheses on data distributions using large datasets.
https://qubeshub.org/publications/1214/?v=2
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Using Data Science Skills and Digitized Natural History Collections Data to Investigate Ecological and Evolutionary Principles in Introductory Biology Courses
22 Aug 2019 | Teaching Materials | Contributor(s):
By Debra Linton1, Molly Phillips2, Libby Ellwood3, Lisa White, Anna Monfils1
1. Central Michigan University 2. iDigBio, Florida Museum of Natural History, University of Florida 3. iDigBio
Session presentation Biodiversity Literacy in Undergraduate Education project at the 2019 BioQUEST & QUBES Summer Workshop
https://qubeshub.org/publications/1404/?v=1
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Biobyte 3 - Lab reports as reproducible research
14 Aug 2019 | Teaching Materials | Contributor(s):
By Sam S Donovan1, Drew LaMar2
1. University of Pittsburgh 2. College of William and Mary
This short activity introduces a discussion of reproducibility in scientific research and ways that we might address these ideas with undergraduates. There is an opportunity to use a prototype...
https://qubeshub.org/publications/1389/?v=1
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Biobyte 2 - Exploratory data analysis
14 Aug 2019 | Teaching Materials | Contributor(s):
By Sam S Donovan
University of Pittsburgh
This short activity can be used to introduce the concept of exploratory data analysis and get participants to think about how this data science strategy is complementary to having students...
https://qubeshub.org/publications/1388/?v=1
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Using Synthetic Biology to Teach Data Science
30 Jul 2019 | Teaching Materials | Contributor(s):
By Margaret S Saha1, Beteel Abu-Ageel1, Sanjana Challa1, Xiangyi Fang1, Chai Hibbert1, Anna Isler1, Elias Nafziger1, Adam Oliver1, Hanqiu Peng1, Julia Urban1, Vivian Zhu1
College of William and Mary
Poster and supplemental materials on using synthetic biology to introduce students to meaningful data mining, analysis, and application to engineering novel biological constructs.
https://qubeshub.org/publications/1326/?v=2
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Prioritizing your Data Science Curriculum
29 Jul 2019 | Teaching Materials | Contributor(s):
By Lou Gross1, Sondra Marie LoRe2
1. University of Tennessee Knoxville 2. SPEAR (STEM Program Evaluation, Assessment, & Research) Consultants
This is the summary powerpoint of the Monday session at the BioQUEST / QUBES 2019 Summer Workshop including the description of the student data project on height change overnight.
https://qubeshub.org/publications/1359/?v=1
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Introducing Students to Data Science
28 Jun 2019 | Teaching Materials | Contributor(s):
By Tyler Frazier
College of William and Mary
Presentation on data science at the 2019 BioQUEST & QUBES Summer Workshop
https://qubeshub.org/publications/1328/?v=1
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National Ecological Observatory Network: A Data Source For Your Classroom
26 Jun 2019 | Teaching Materials | Contributor(s):
By Megan A. Jones
National Ecological Observatory Network
Abstract for a poster on NEON resources for use in research and education presented at the 2019 BioQUEST & QUBES Summer Workshop.
https://qubeshub.org/publications/1327/?v=1
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Using Synthetic Biology to Teach Data Science
26 Jun 2019 | Teaching Materials | Contributor(s):
By Margaret S Saha1, Beteel Abu-Ageel1, Sanjana Challa1, Xiangyi Fang1, Chai Hibbert1, Anna Isler1, Elias Nafziger1, Adam Oliver1, Hanqiu Peng1, Julia Urban1, Vivian Zhu1
College of William and Mary
Abstract for poster on using synthetic biology to introduce students to meaningful data mining, analysis, and application to engineering novel biological constructs.
https://qubeshub.org/publications/1326/?v=1
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Biodiversity Literacy in Undergraduate Education (BLUE): Building standards and resources for using collections data in the classroom
26 Jun 2019 | Teaching Materials | Contributor(s):
By Molly Phillips1, Debra Linton2, Libby Ellwood3, Natalie Douglas2, Lisa White4, Anna Monfils2
1. iDigBio, Florida Museum of Natural History, University of Florida 2. Central Michigan University 3. La Brea Tar Pits and Museum, Natural History Museum of Los Angeles County 4. University of California Museum of Paleontology, UC Berkeley
Abstract for poster on using collections data presented at the 2019 BioQUEST & QUBES Summer Workshop
https://qubeshub.org/publications/1324/?v=1
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A Fun Introductory Command Line Exercise: Next Generation Sequencing Quality Analysis with Emoji!
07 Jun 2019 | Teaching Materials | Contributor(s):
By Rachael St. Jacques1, Max Maza1, Sabrina Robertson2, Guoqing Lu3, Andrew Lonsdale4, Ray A Enke5
1. Department of Biology, James Madison University 2. Department of Psychology & Neuroscience, University of North Carolina at Chapel Hill 3. Department of Biology and School of Interdisciplinary Informatics, University of Nebraska Omaha 4. ARC Centre of Excellence in Plant Cell Walls, Melbourne University 5. James Madison University
This resource is a fun computer-based intro to command line programming. The activity takes FASTQ NGS data files and runs a fun program called FASTQE.
https://qubeshub.org/publications/1092/?v=2
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Exploring how climate will impact plant-insect distributions and interactions using open data and informatics
06 Jun 2019 | Teaching Materials | Contributor(s):
By Wendy Clement1, Kathleen Prudic2, Jeffrey Oliver3
1. The College of New Jersey 2. University of Arizona 3. University of Arizona Libraries
This teaching module provides an entry point for students to learn about data science, open data repositories (e.g., citizen science data), and species distribution modeling to study the effects of...
https://qubeshub.org/publications/1286/?v=1
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Spatial Justice, Marginal Populations, and Data Integrity
04 Jun 2019 | Teaching Materials | Contributor(s):
By Melinda Laituri
Colorado State University
Spatial justice refers to the consequential geography of a place where spaces are socially produced. Understanding how spatial injustice is created at different spatial scales is an essential part...
https://qubeshub.org/publications/1280/?v=1
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Calling Bull in an Age of Big Data with R
29 May 2019 | Teaching Materials | Contributor(s):
By Carrie Diaz Eaton
Bates College and RIOS Institute
Use the calling bull course to introduce students to data, ethics, visualization, and R.
https://qubeshub.org/publications/1150/?v=2
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Population Demography in Swirl
15 May 2019 | Teaching Materials | Contributor(s):
By Emily Weigel
Georgia Institute of Technology
The students will learn to generate, test, and graphically represent basic hypotheses on data distributions using large datasets.
https://qubeshub.org/publications/1214/?v=1
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Calling Bull in an Age of Big Data with R
26 Apr 2019 | Teaching Materials | Contributor(s):
By Carrie Diaz Eaton
Bates College and RIOS Institute
Use the calling bull course to introduce students to data, ethics, visualization, and R.
https://qubeshub.org/publications/1150/?v=1
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Calling Bull: Data Reasoning in a Digital World
26 Apr 2019 | Teaching Materials | Contributor(s):
By Carl Bergstrom1, Jevin West1
University of Washington
"So, the aim of this course is to help students navigate the bullshit-rich modern environment by identifying bull seeing through it, and combating it with effective analysis and argument."
https://qubeshub.org/publications/1149/?v=1
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Serenity now! Keep calm and do science with real data in the classroom
22 Mar 2019 | Teaching Materials | Contributor(s):
By Drew LaMar1, Kristin Jenkins2, Nicole Chodkowski3
1. College of William and Mary 2. BioQUEST 3. Radford University
Presentation on a free web application currently under development on QUBES called Serenity at the 5th Life Discovery Conference
https://qubeshub.org/publications/1111/?v=1
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A Fun Introductory Command Line Exercise: Next Generation Sequencing Quality Analysis with Emoji!
28 Feb 2019 | Teaching Materials | Contributor(s):
By Rachael St. Jacques1, Max Maza1, Sabrina Robertson2, Guoqing Lu3, Andrew Lonsdale4, Ray A Enke5
1. Department of Biology, James Madison University 2. Department of Psychology & Neuroscience, University of North Carolina at Chapel Hill 3. Department of Biology and School of Interdisciplinary Informatics, University of Nebraska Omaha 4. ARC Centre of Excellence in Plant Cell Walls, Melbourne University 5. James Madison University
This resource is a fun computer-based intro to command line programming. The activity takes FASTQ NGS data files and runs a fun program called FASTQE.
https://qubeshub.org/publications/1092/?v=1
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Introduction to Python for Data Science Course
05 Nov 2018 | Teaching Materials
Free Introduction to Python for Data Science Course at DataCamp
https://qubeshub.org/publications/915/?v=1