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  1. Diving into Deep Sea Data

    23 Apr 2020 | Teaching Materials | Contributor(s):

    By Adania Flemming1, Randy Singer2, Molly Phillips3

    1. iDigBio, FLMNH 2. University of Michigan Museum of Zoology 3. iDigBio, Florida Museum of Natural History, University of Florida

    A module that combines NOAA's Okeanos Explorer and the iDigBio Portal to explore the deep sea!

    https://qubeshub.org/publications/1820/?v=1

  2. 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

  3. 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

  4. 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

  5. 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

  6. 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

  7. High technology to measure forest carbon stocks: How can advanced remote sensing improve biomass quantification in the Brazilian Amazon?

    23 Jul 2023 | Teaching Materials | Contributor(s):

    By Catherine Torres de Almeida

    Unesp (São Paulo State University)

    A case study on the estimation of aboveground biomass using advanced remote sensors (LiDAR and hyperspectral) in the Brazilian Amazon. Students explore remote sensing (RS) data and compare RS-based...

    https://qubeshub.org/publications/4440/?v=2

  8. High technology to measure forest carbon stocks: How can advanced remote sensing improve biomass quantification in the Brazilian Amazon?

    22 Jun 2023 | Teaching Materials | Contributor(s):

    By Catherine Torres de Almeida

    Unesp (São Paulo State University)

    A case study on the estimation of aboveground biomass using advanced remote sensors (LiDAR and hyperspectral) in the Brazilian Amazon. Students explore remote sensing (RS) data and compare RS-based...

    https://qubeshub.org/publications/4440/?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. 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

  11. Using Survey123 to Map Physical Habitat Characteristics, Watershed Activities, and Disturbances

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

    By Lucas Ward

    Rocky Mountain College

    In this lesson, students are introduced to the idea and practice of “remote sensing” and provided with hands-on, field-based experience using standardized stream habitat assessment protocols (the...

    https://qubeshub.org/publications/3622/?v=1

  12. Vegetation Greening: A Snapshot from the Andean Tropics

    23 Jul 2023 | Teaching Materials | Contributor(s):

    By Xavier Haro-Carrión1, Bryson Berry1, Lucas Eggers1

    Macalester College

    This online module explores how satellite images are used to study vegetation greenness and, using Ecuador as an example, demonstrates how tropical vegetation experienced increased greenness...

    https://qubeshub.org/publications/4258/?v=2

  13. Vegetation Greening: A Snapshot from the Andean Tropics

    08 Jun 2023 | Teaching Materials | Contributor(s):

    By Xavier Haro-Carrión1, Bryson Berry1, Lucas Eggers1

    Macalester College

    This online module explores how satellite images are used to study vegetation greenness and, using Ecuador as an example, demonstrates how tropical vegetation experienced increased greenness...

    https://qubeshub.org/publications/4258/?v=1

  14. Writing Clean Code in R Workshop

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

    By Max Joseph1, Leah Wasser

    Earth Lab - University of Colorado, Boulder

    When working with data, you often spend the most amount of time cleaning your data. Learn how to write more efficient code using the tidyverse in R.

    https://qubeshub.org/publications/1442/?v=1

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