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Resources (1-20 of 46)

  1. 2019 EDSIN Conference Proceedings

    02 Apr 2021 | Teaching Materials | Contributor(s):

    By Alycia Crall, Carrie Diaz Eaton1, Wendy Gram, Shobhana Gupta, AJ Lauer2, Lea Shanley, Sarah A Stone3, Bonnie Swan4, Elizabeth Sudduth5, Kaitlin Stack Whitney6, Kamuela Yong7

    1. Unity College 2. National Center for Atmospheric Research 3. eScience Institute - University of Washington 4. University of Central Florida 5. Georgia Gwinnett College 6. Rochester Institute of Technology 7. University of Hawaii - West Oahu

    Bringing Conversations on Diversity and Inclusion in Data Science to the Ecological and Environmental Sciences, was a 3-day conference hosted at the UCAR's Center Green in Boulder, Colorado, April...

    https://qubeshub.org/publications/2297/?v=1

  2. 50 Years of Data Science

    30 Oct 2018 | Teaching Materials | Contributor(s):

    By David Donoho

    Stanford University

    This paper reviews some ingredients of the current “Data Science moment”, including recentcommentary about data science in the popular media, and about how/whether Data Science isreally different...

    https://qubeshub.org/publications/912/?v=1

  3. 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

  4. 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

  5. An evolution curriculum designed around understanding the rise and spread of drug-resistant pathogens

    07 Jun 2018 | Teaching Materials | Contributor(s):

    By Aditi Pai1, Amanda Gibson2

    1. Spelman College 2. Emory University

    Poster on teaching concepts in evolution and data science skills in an upper level Biology elective at Spelman College presented at the 2018 QUBES/BioQUEST Summer Workshop

    https://qubeshub.org/publications/609/?v=1

  6. BEDE - Biological and Environmental Data Education Network: Preparing Instructors to Integrate Data Science into Undergraduate Biology and Environmental Science Curricula (RCN-UBE Introduction)

    09 May 2023 | Teaching Materials | Contributor(s):

    By Matthew Aiello-Lammens1, Sarah Supp2, Erika Crispo1, Kelly L ODonnell3, Nate Emery4

    1. Pace University 2. Denison University 3. City University of New York 4. University of California Santa Barbara

    The Biological and Environmental Data Education Network (BEDE Network) develops and shares teacher-training workshops, curricular designs, teaching modules, and best practices to help integrate...

    https://qubeshub.org/publications/4297/?v=2

  7. BEDE - Biological and Environmental Data Education Network: Preparing Instructors to Integrate Data Science into Undergraduate Biology and Environmental Science Curricula (RCN-UBE Introduction)

    03 May 2023 | Teaching Materials | Contributor(s):

    By Matthew Aiello-Lammens1, Sarah Supp2, Erika Crispo1, Kelly L ODonnell3, Nate Emery4

    1. Pace University 2. Denison University 3. City University of New York 4. University of California Santa Barbara

    The Biological and Environmental Data Education Network (BEDE Network) develops and shares teacher-training workshops, curricular designs, teaching modules, and best practices to help integrate...

    https://qubeshub.org/publications/4297/?v=1

  8. 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

  9. 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

  10. 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

  11. 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

  12. 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

  13. 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

  14. Critical inquiry for inclusive teaching of statistics

    28 Jun 2021 | Teaching Materials | Contributor(s):

    By Carrie Diaz Eaton

    Bates College

    Professional development workshop slides to help curate conversations in teaching statistics with a critical inquiry lens.

    https://qubeshub.org/publications/2458/?v=1

  15. Data Ethics

    19 Mar 2020 | Teaching Materials | Contributor(s):

    By Rebecca Renirie

    Central Michigan University

    Data ethics and the use of digital data

    https://qubeshub.org/publications/1765/?v=1

  16. DataCamp

    05 Nov 2018 | Teaching Materials

    DataCamp: The Easiest Way to Learn Data Science Online

    https://qubeshub.org/publications/913/?v=1

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

    21 May 2020 | Teaching Materials | Contributor(s):

    By Alycia Crall, Carrie Diaz Eaton1, Megan A. Jones2, Claire Lunch2, Katherine Jones3

    1. Unity College 2. National Ecological Observatory Network 3. NEON / Battelle

    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...

    https://qubeshub.org/publications/1857/?v=1

  18. Earth Analytics Bootcamp Course

    15 Oct 2019 | Teaching Materials | Contributor(s):

    By Jenny Palomino1, Leah Wasser

    Earth Lab - University of Colorado, Boulder

    The Earth Analytics Bootcamp is a three-week introductory-level course taught by instructors in Earth Lab and is a part of the Professional Certificate in Earth Data Analytics - Foundations at CU...

    https://qubeshub.org/publications/1438/?v=1

  19. Earth Analytics in Python Course

    01 Nov 2019 | Teaching Materials | Contributor(s):

    By Leah Wasser1, Jenny Palomino1, Chris Holdgraf2

    1. Earth Lab - University of Colorado, Boulder 2. University of California, Berkeley

    Earth analytics is an intermediate, multidisciplinary course that addresses major questions in Earth science and teaches students to use the analytical tools necessary to undertake exploration of...

    https://qubeshub.org/publications/1437/?v=1

  20. Earth Analytics in R Course

    15 Oct 2019 | Teaching Materials | Contributor(s):

    By Leah Wasser

    Earth Lab - University of Colorado, Boulder

    Earth analytics is an advanced, multidisciplinary course that addresses major questions in Earth science and teaches students to use the analytical tools necessary to undertake exploration of...

    https://qubeshub.org/publications/1439/?v=1

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