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Tags: data

Teaching Materials (1-20 of 25)

  1. Exploring Marine Primary Productivity with Descriptive Statistics and Graphing in Excel

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

    By Marina McLeod1, Jennifer Olson1, Wendy Houston1

    Everett Community College

    In this activity, students use real water chemistry data and descriptive statistics in Excel to examine primary productivity in an urban estuary of the Salish Sea. They will consider how actual...

    https://qubeshub.org/publications/2747/?v=1

  2. Assessing Urban Biodiversity With the eBird Citizen Science Project: A Course-Based Undergraduate Research Experience (CURE) Module

    29 Aug 2021 | Teaching Materials | Contributor(s):

    By Karin R. Gastreich

    Avila University

    The eBird citizen science module takes advantage of technology tools and online resources developed by the Cornell Laboratory of Ornithology (http://ebird.org) to achieve several learning...

    https://qubeshub.org/publications/2673/?v=1

  3. STEM Inclusive Teaching Practices Webinar Series: The Biocultural Labels Initiative

    03 May 2021 | Teaching Materials | Contributor(s):

    By Jane Anderson1, Maui Hudson2

    1. New York University 2. University of Waikato

    The Biocultural (BC) Labels initiative is focused on accurate provenance, transparency and integrity in research engagements with Indigenous communities. ...

    https://qubeshub.org/publications/2326/?v=1

  4. Water Quality Investigation (Project EDDIE)

    18 Feb 2020 | Teaching Materials | Contributor(s):

    By Melissa Hage

    Oxford College of Emory University

    This multi-part module aims to help you learn about water quality implications by understanding the variability of concentrations of nitrate in stream water through the evaluation of real-time data...

    https://qubeshub.org/publications/1753/?v=1

  5. Water Quality Module (Project EDDIE)

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

    By C. A. Gibson, D. N. Castendyk

    Students utilize real-time nitrate data from the US Geological Survey to statistically evaluate water quality impacts and to identify their causes

    https://qubeshub.org/publications/1481/?v=1

  6. 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

  7. 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

  8. 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

  9. 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

  10. 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

  11. 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

  12. DIGging Into Data and getting the credit

    18 Jul 2019 | Teaching Materials | Contributor(s):

    By Kaitlin Bonner1, Arietta Fleming-Davies2, Kristine Grayson3, Ben Wu4, Raisa Hernández-Pacheco3

    1. St. John Fisher College 2. QUBES; Radford University 3. University of Richmond 4. Texas AM University

    Presentation on using and adapting OER data-centric resources

    https://qubeshub.org/publications/1360/?v=1

  13. 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

  14. Getting students to reason with data: QUBES tools and teaching resources built for introductory biology

    21 Feb 2019 | Teaching Materials | Contributor(s):

    By Sam S Donovan

    University of Pittsburgh

    Workshop presented at the 2019 Biology Learning Community Conference

    https://qubeshub.org/publications/1088/?v=1

  15. Working with spreadsheet-style data in Python with pandas and seaborn

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

    By Madeleine Bonsma-Fisher

    University of Toronto

    This 4-hour participatory live-coding workshop takes learners through the basics of programming in Python via the Jupyter Lab interface and culminates with exploration and visualization of...

    https://qubeshub.org/publications/971/?v=1

  16. DataONE Module 01: Why Data Management?

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

    By Amber E Budden

    DataONE

    Trends in data collection, storage and loss, the importance and benefits of data management, and an introduction to the data life cycle.

    https://qubeshub.org/publications/911/?v=1

  17. DataONE Module 03: Data Management Planning

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

    By Amber E Budden

    DataONE

    Benefits of a data management plan (DMP), DMP components, tools for creating a DMP, NSF DMP information, and a sample DMP.

    https://qubeshub.org/publications/910/?v=1

  18. DataONE Module 02: Data Sharing

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

    By Amber E Budden

    DataONE

    Data sharing in the context of the data life cycle, the value of sharing data, concerns about sharing data, and methods and best practices for sharing data.

    https://qubeshub.org/publications/909/?v=1

  19. Tools: New tools for new science

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

    By Harry Shum

    Microsoft

    A collection of computational, modeling and data analysis tools developed at Microsoft Research Labs.

    https://qubeshub.org/publications/891/?v=1

  20. Data from: Agent-based and Individual-based Modeling: A Practical Introduction, Chapter 5, Section 5.5 [Elevation]

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

    By Steven F Railsback1, Volker Grimm

    Lang Railsback & Associates

    Elevation data input file for Section 5.5 (tab-separated plain text).

    https://qubeshub.org/publications/867/?v=1