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Tags: Graduate

All Categories (1-20 of 28)

  1. 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/qubesresources/publications/1437/?v=1

  2. 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/qubesresources/publications/1441/?v=1

  3. 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/qubesresources/publications/1443/?v=1

  4. 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/qubesresources/publications/1442/?v=1

  5. 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/qubesresources/publications/1440/?v=1

  6. 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/qubesresources/publications/1439/?v=1

  7. 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/qubesresources/publications/1438/?v=1

  8. REMNet Tutorial, R Part 5: Normalizing Microbiome Data in R 5.2.19

    28 Aug 2019 | Teaching Materials | Contributor(s):

    By Jessica Joyner

    CUNY Brooklyn College

    Video on normalizing microbiome data from the Research Experiences in Microbiomes Network

    https://qubeshub.org/qubesresources/publications/1314/?v=1

  9. Does Organelle Shape Matter? Exploring Cell Shape through the Allen Cell Explorer and High-content Microscopy Datasets

    12 Jun 2019 | Teaching Materials | Contributor(s):

    By Carlos Christopher Goller1, Kaitlyn Casimo

    North Carolina State University

    The morphology and localization of structures inside the cell are often assumed to fit the ideal images found in biology textbooks. This interrupted case study using high-throughput microscopy data...

    https://qubeshub.org/qubesresources/publications/798/?v=1

  10. Passion-Driven Statistics

    03 Jun 2019 | Teaching Materials | Contributor(s):

    By Lisa Dierker

    Wesleyan University

    E-book in .pdf format and customizable .iba format

    https://qubeshub.org/qubesresources/publications/1257/?v=1

  11. Competition under the Sea: Exploring the competitive interaction between native and non-native seagrasses in the Caribbean

    26 May 2019 | Teaching Materials | Contributor(s):

    By Demian Alexander Willette

    Loyola Marymount University

    A mini-case study that uses real-world data to explore the competitive interaction among seagrasses.

    https://qubeshub.org/qubesresources/publications/1233/?v=1

  12. Intro to BIOMAAP - Student Math Anxiety Overview

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

    By Paige F.B. Ferguson

    University of Alabama

    This presentation is intended as a stand alone 45 minutes-1 hour presentation to give students general information on math anxiety and a few strategies to try on their own.

    https://qubeshub.org/qubesresources/publications/1223/?v=1

  13. Exploring the population dynamics of wintering bald eagles through long-term data using R

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

    By Kristen Kaczynski

    California State University - Chico

    The purpose of this modification was to take the analyses that were done in Excel and have the students perform them using R. Students were not given any R code for this activity, as R code was...

    https://qubeshub.org/qubesresources/publications/1158/?v=1

  14. Species Range Over Space and Time

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

    By Debra Linton1, Anna Monfils1, Libby Ellwood2, Molly Phillips3

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

    In this module, students use data from natural history collections to look at range shifts related to climate variables over different time periods.

    https://qubeshub.org/qubesresources/publications/1106/?v=1

  15. Binomial test

    23 Jan 2019 | Teaching Materials | Contributor(s):

    By Stephen Gosnell

    Baruch College, City University of New York

    This lesson focused on introducing students to binomial data analysis and reinforcing concepts of confidence intervals, p-value interpretation, and one- vs two-sided tests.

    https://qubeshub.org/qubesresources/publications/1022/?v=1

  16. Two-Way ANOVA

    23 Jan 2019 | Teaching Materials | Contributor(s):

    By Didem Ikis

    Towson University

    In this lesson, students will learn the necessary statistical terms to understand two-way ANOVA, how to visualize their data, how to perform two-way ANOVA and interpret their results, and how to...

    https://qubeshub.org/qubesresources/publications/1020/?v=1

  17. Testing hypotheses about the role of wildfire in structuring avian communities

    07 Jan 2019 | Teaching Materials | Contributor(s):

    By Lesley Bulluck

    Virginia Commonwealth University, Center for Environmental Studies

    This module assesses the role of wildfire in the eastern US and its impact on bird communities using NEON bird survey data from pre- and post- a major wildfire in the Great Smoky Mountains National...

    https://qubeshub.org/qubesresources/publications/957/?v=1

  18. Making toast: Using analogies to explore concepts in bioinformatics

    04 Jan 2019 | Teaching Materials | Contributor(s):

    By Kate L. Hertweck

    University of Texas at Tyler

    Module using analogies to introduce students to genomics

    https://qubeshub.org/qubesresources/publications/1003/?v=1

  19. Data simulation and randomization tests

    03 Jan 2019 | Teaching Materials | Contributor(s):

    By James S. Santangelo

    University of Toronto

    A participatory live-coding lesson on simulating data and performing randomization tests on ecological data in R.

    https://qubeshub.org/qubesresources/publications/996/?v=1

  20. 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/qubesresources/publications/971/?v=1