Tags: data science

Resources (21-40 of 46)

  1. Ethics in ecological forecasting: four case-based teaching modules

    07 Feb 2024 | Teaching Materials | Contributor(s):

    By Abigail S.L. Lewis1, Dexter W. Howard1, Gerbrand Koren2, Cazimir Kowalski3, Jason McLachlan3, Jody Peters4, Georgia Smies5, Olivia Tabares6

    1. Department of Biological Sciences, Virginia Tech, Blacksburg, VA, USA 2. Copernicus Institute of Sustainable Development, Utrecht University, Utrecht, the Netherlands 3. Department of Biological Sciences, University of Notre Dame, Notre Dame, IN, USA 4. University of Notre Dame 5. Division of Natural Resources, Salish Kootenai College, Pablo, Montana, USA 6. The American School Foundation, Ciudad de México, México

    Working with ecological data often involves ethical considerations, particularly when data are applied to address societal needs. However, data science ethics are rarely included as part of...

    https://qubeshub.org/publications/4629/?v=1

  2. 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

  3. GEA Introductory lesson on RNA-Seq

    25 Jul 2020 | Teaching Materials | Contributor(s):

    By Jason Williams1, Judy Brusslan2, Ray Enke3, Matthew Escobar4, Vince Buonaccorsi5

    1. Cold Spring Harbor Laboratory 2. California State University Long Beach 3. James Madison University 4. California State University San Marcos 5. Juniata College

    This RNA-Seq lesson uses the CyVerse VICE Platform and Jupyter notebooks to examine the expression of the leptin gene in samples from a mouse experimental design evaluating diet (high-fat vs....

    https://qubeshub.org/publications/1988/?v=1

  4. Get Started With GIS in Open Source Python Workshop

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

    By Leah Wasser1, Jenny Palomino1, Joe McGlinchy1

    Earth Lab - University of Colorado, Boulder

    There are a suite of powerful open source python libraries that can be used to work with spatial data. Learn how to use geopandas, rasterio and matplotlib to plot and manipulate spatial data in...

    https://qubeshub.org/publications/1441/?v=1

  5. 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

  6. Introduction to Earth Data Science Textbook

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

    By Jenny Palomino, Leah Wasser

    Introduction to Earth Data Science is an online textbook for anyone new to open reproducible science and the Python programming language. There are no prerequisites for this material, and no prior...

    https://qubeshub.org/publications/1440/?v=1

  7. 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

  8. Introduction to R Course

    05 Nov 2018 | Teaching Materials

    Free Introduction to R Course at DataCamp

    https://qubeshub.org/publications/914/?v=1

  9. Introduction to Version Control and Git Workshop

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

    By Leah Wasser, Max Joseph

    Learn how to use version control with Git to work collaboratively and back up your work.

    https://qubeshub.org/publications/1443/?v=1

  10. Machine Learning Meets Medicine with Jenessa Peterson

    20 May 2022 | Teaching Materials | Contributor(s):

    By Janessa Peterson1, Megan Seifert2

    1. The Learning Agency 2. Headwaters Science Institute

    Jenessa Peterson is a former teacher turned data scientist/engineer and Director of Learning Engineering at The Learning Agency. Her more recent work in data science has included building a...

    https://qubeshub.org/publications/3169/?v=1

  11. 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

  12. Population Demography in Swirl

    12 Feb 2020 | 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=4

  13. Population Demography in Swirl

    06 Nov 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=3

  14. 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

  15. 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

  16. 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

  17. 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

  18. Serenity now! Keep calm and do science with real data in the classroom

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

    By Drew LaMar1, Sam S Donovan2, Hayley Orndorf2

    1. College of William and Mary 2. University of Pittsburgh

    Session on using real data in the classroom with Serenity, a platform-independent browser-based interface to data science tools for the classroom.

    https://qubeshub.org/publications/666/?v=1

  19. Serenity now! Keep calm and do science with real data in the classroom

    18 May 2018 | Teaching Materials | Contributor(s):

    By Drew LaMar

    College of William and Mary

    Session presented at NABT 2018 in San Diego, CA

    https://qubeshub.org/publications/565/?v=1

  20. 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