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Tags: Publication

Resources (1-20 of 31)

  1. DEHPD 17 Steps in the Hiring Process

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

    By Equity & Diversity in Hiring Process Committee

    Higher Education Institutions in Puget Sound

    A 17 step document created by people from marginalized populations for equity and diversity in hiring.

    https://qubeshub.org/qubesresources/publications/1385/?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/qubesresources/publications/1286/?v=1

  3. Developing quantitative skills for ecological data: the effects of climate warming on phenological variation and species interactions

    21 Nov 2018 | Teaching Materials | Contributor(s):

    By Jill Hamilton1, Zachary Tarble1

    North Dakota State University

    Students combine long-term observational data sets and experimental warming in an alpine meadow in Gothic, CO to test, evaluate, and interpret ecological data focusing on phenological variation and...

    https://qubeshub.org/qubesresources/publications/935/?v=1

  4. 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/qubesresources/publications/912/?v=1

  5. Fitzhugh-Nagumo Model

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

    By Richard FitzHugh1, Jin-ichi Nagumo2

    1. Technische Hochschule 2. University of Tokyo

    The FitzHugh–Nagumo model describes a prototype of an excitable system (e.g., a neuron).

    https://qubeshub.org/qubesresources/publications/903/?v=1

  6. Politeness Data

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

    By Bodo Winter1, Sven Grawunder2

    1. Department of Cognitive and Information Sciences, University of California, Merced 2. Department of Linguistics, Max Planck Institute for Evolutionary Anthropology

    The dataset recorded properties of formal and informal speech registers in Korean.

    https://qubeshub.org/qubesresources/publications/901/?v=1

  7. Innovative Teaching Exchange: Asking Questions in Probability Class

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

    By Queena N. Lee-Chua

    Ateneo de Manila University

    This is an article in MAA's Innovative Teaching Exchange that describes strategies to get students past thoughtless number crunching, guessing, and intuition when it comes to solving probability...

    https://qubeshub.org/qubesresources/publications/898/?v=1

  8. Statistics for Biologists

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

    By Magdalena Skipper1, Ritu Dhand1, Helen Pearson1, Francesca Cesari1

    Nature

    There is no disputing the importance of statistical analysis in biological research, but too often it is considered only after an experiment is completed, when it may be too late.

    https://qubeshub.org/qubesresources/publications/897/?v=1

  9. Introduction to Probability, Statistics, and Random Processes

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

    By Hossein Pishro-Nik

    Electrical and Computer Engineering Department, University of Massachusetts

    This site is the homepage of the textbook Introduction to Probability, Statistics, and Random Processes by Hossein Pishro-Nik.

    https://qubeshub.org/qubesresources/publications/896/?v=1

  10. Citations

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

    By Louise Mead1, Jim Smith2, Wendy Johnson, Michael James Wiser2, Robert T Pennock2, Amy Lark

    1. BEACON Center for the Study of Evolution in Action 2. Michigan State University

    Published Avida-Ed article

    https://qubeshub.org/qubesresources/publications/881/?v=1

  11. Avida-ED User Manual

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

    By Diane Blackwood

    Michigan State University

    Basic User manual to use Avida-ED

    https://qubeshub.org/qubesresources/publications/879/?v=1

  12. Mutation and Selection: An Exploration of Antibiotic Resistance in Serratia Marcescens

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

    By Laurel Hester1, Mark Sarvary2, Corey Ptak

    1. Keuka College 2. Cornell University

    This laboratory module gives students hands-on experience with mutation and selection in bacteria.

    https://qubeshub.org/qubesresources/publications/875/?v=1

  13. Facial Bones

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

    By Katherine Poole

    Information about the many different facial bones.

    https://qubeshub.org/qubesresources/publications/873/?v=1

  14. Breeding synchrony in colonial birds: from local stress to global harmony

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

    By Volker Grimm, Roger Jovani1

    Helmholtz Center for Environmental Research

    This is a supplemental resource for ABM

    https://qubeshub.org/qubesresources/publications/871/?v=1

  15. The ODD protocol: A review and first update

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

    By Volker Grimm, Uta Berger, Donald L. DeAngelis, J. Gary Polhill, Jarl Giske, Steven F. Railsback

    The ‘ODD’ (Overview, Design concepts, and Details) protocol was published in 2006 to standardize the published descriptions of individual-based and agent-based models (ABMs).

    https://qubeshub.org/qubesresources/publications/865/?v=1

  16. Quantitative Reasoning: Peer Review 16(3), 2014

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

    By Shelly Johnson Carey

    In this issue of the journal Peer Review, the authors discuss the issues surrounding quantitative literacy.

    https://qubeshub.org/qubesresources/publications/862/?v=1

  17. Theory, models and biology

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

    By Wenying Shou1, Carl T. Bergstrom2, Arup K. Chakraborty3, Frances K. Skinner4

    1. Division of Basic Sciences, Fred Hutchinson Cancer Research Center, Seattle, United States 2. Department of Biology, University of Washington, Seattle, United States 3. Departments of Chemical Engineering, Physics, Chemistry and Biological Engineering, and the Institute for Medical Engineering & Science, Massachusetts Institute of Technology, Cambridge, United States 4. Toronto Western Research Institute, University Health Network and the University of Toronto, Toronto, Canada

    Theoretical ideas have a rich history in many areas of biology, and new theories and mathematical models have much to offer in the future.

    https://qubeshub.org/qubesresources/publications/861/?v=1

  18. Molecular Biology of the Cell (MBoC)

    23 Oct 2018 | Teaching Materials

    An online journal focusing upon generally-applicable studies of cell biology.

    https://qubeshub.org/qubesresources/publications/851/?v=1

  19. An Introduction to agent-based modeling.

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

    By Marco A Janssen

    Arizona State University

    Introductory level textbook based on a collection of lecture notes from an undergraduate course on agent-based modeling at Arizona State University.

    https://qubeshub.org/qubesresources/publications/849/?v=1

  20. An Introduction to Statistical Learning: with Applications in R

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

    By Gareth James1, Daniela Witten2, Trevor Hastie3, Robert Tibshirani3

    1. University of Southern California 2. University of Washington 3. Stanford University

    This book provides an introduction to statistical learning methods and is aimed for upper level undergraduate students, masters students and Ph.D. students in the non-mathematical sciences.

    https://qubeshub.org/qubesresources/publications/847/?v=1