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    Actually, Data Science CAN Be Accessible: Barriers to inclusion of people with disabilities in the data science workforce pipeline and ideas for lowering them
    Will draw on personal experience as a student and professional with a severe visual impairment and knowledge gained from colleagues and friends during ongoing efforts in the area of accessible...

    Keywords: Video

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    An introduction to population matrix models: a swirl lesson
    Students will learn how to set up a population matrix model in R and use it for demographic analysis of a population, including projecting population growth, determining lambda and the stable age...

    Keywords: population dynamicsRpopulation growthonlinedemographypopulation projection modelquantitative biologypopulation modelmatrix modelspopulation ecologyage structurepopulation biologypopulation modelingSwirlDemographic processespopulationLeslie matrix

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    Data management and introduction to QGIS and RStudio for spatial analysis
    Students learn about the importance of good data management and begin to explore QGIS and RStudio for spatial analysis purposes. Students will explore National Land Cover Database raster data and...

    Keywords: tool:rstudioGISdata managementlandscape ecologyGeospatial ScienceNational Ecological Observatory Networkquantitative inquiryQGIS

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    Coding Club: A Positive Peer-Learning Community
    Free and self-paced tutorials and courses for learning to code out of the University of Edinburgh

    Keywords: statisticsRecologydata visualizationcodingenvironmental sciencepythonjavascript

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    Trauma-Informed Pedagogy: Teaching in Uncertain Times
    This free online seminar is designed for educators who are interested in learning about how they can teach their students despite the presence of trauma related to CoVID-19. Tuesday, April 28,...

    Keywords: uncertaintypandemic

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    Interpreting one-factor ANOVA in R with swirl
    Interpreting One-Factor Analysis of Variance (ANOVA)

    Keywords: biostatisticsR programming languageSwirl

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    Island Biogeography
    The students will practice the basic code to test MacArthur and Wilson’s (1967) Island Biogeography model, focusing on how island size, distance, and perturbation affect species numbers.
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    Quantitative Biology at Community Colleges Network Meeting Code of Conduct
    Code of Conduct for the Quantitative Biology at Community Colleges (QBCC) Network Meeting in February 2020

    Keywords: community collegesquantitative biologycode of conductqbcc

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    Writing Clean Code in R Workshop
    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.

    Keywords: data analysisdata typesdata visualizationdata scienceearth scienceR programming languageremote sensingGeographic Information System (GIS)data science educationcomputer programmingwildfireearth analytics

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    Quantifying The Drivers and Impacts of Natural Disturbance Events – The 2013 Colorado Floods
    This lesson focuses on ways that scientists identify and use data to understand ecological disturbance events using data from five public datasets. The main lesson focused on interpretation of...

    Keywords: ecologyundergraduate education

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    The ml4bio Workshop: Machine Learning Literacy for Biologists
    Presentation on machine learning literacy for biologists at the 2019 Great Lakes Bioinformatics Conference

    Keywords: bioinformaticsmachine learning

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    Intro to BIOMAAP - Student Math Anxiety Overview
    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.

    Keywords: math attitudesResources @ BIOMAAP

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

    Keywords: Resources @ ESA - TIEEcase studyR programming languagepopulation ecologyendangered speciesconservation biologymigration ecologyggplot2

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    Sampling Distributions and Null Distributions: two swirl lessons in R
    There are two complementary lessons. The first covers how sampling distributions are made and ID's their key properties. The second covers how null distributions and how the test statistic of a...

    Keywords: The Analysis of Biological Datateaching with technologySwirl

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    Investigating human impacts on stream ecology: Intro to R
    This resource uses the Human Impact on Stream Ecology data set, background and questions and provides students an very general introduction to using R. Students perform basic summary statistics and...

    Keywords: graphingdata visualizationR programming languagedescriptive statisticsundergraduate environmental science

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    Agent-Based Modeling Course Materials
    Materials created for an upper level ABM course. Prerequisite: Students have taken either (a) another modeling course, or (b) the introductory computer science sequence.

    Keywords: agent-based modelingindividual-based modelingcourse materials

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    Teaching RNAseq at Undergraduate Institutions: A tutorial and R package from the Genome Consortium for Active Teaching
    This lesson plan was created to teach RNAseq analysis as a part of GCAT-SEEK network. It is provided here, both in finished form and with the modifiable source code, to allow flexible adaptation to...

    Keywords: statisticsR programming languagebioinformaticsNIBLSERNAseqgene expressionCourseSourcecomputer programming

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    Amino Acid Frequency
    This module introduces expected frequencies in the context of understanding amino acid composition. It is intended for an introductory biology audience.

    Keywords: Probabilitylinear regressionamino acidsOpenStaxGenetic InformationAminoAmino Acid Freuency

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    Working with plant phenology data and fitting a nonlinear model using least squares in R
    A participatory live-coding lesson on working with NEON phenology data and fitting a sine-wave model to determine when different species get and lose their leaves.

    Keywords: modelingRphenologyNEONRstatscodeparticipatory live-coding

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

    Keywords: datapythonopenSpreadsheetbicylepandasseabornmatplotlib

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