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    Breaking It Down: What Factors Control Microbial Decomposition Rates?
    Demonstrating and modeling changes in ecosystem processes in the laboratory classroom can be logistically difficult and expensive. This complexity often leaves little time for students to generate...

    Keywords: data analysishypothesis testingdata visualizationdata managementMicrobial RespirationDecompostionAbiotic ConditionsResults Communication

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    2010-Soetaert-EtAl-Solving Differential Equations in Rd SIMIODE Draft (5)
    Here we give a brief overview of differential equations that can now be solved by R.

    Keywords: solving

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    Are you learning R? Suggestions to help you as you learn.
    Learning how to code and analyze data in R is an important skill. Olivia Tabares and the Ecological Forecasting Education Working Group created this resource to encourage individuals who are...

    Keywords: R code

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    R Subsetting Tutorial
    The students will practice manipulating data to add to or extract subsets of specific values, rows, columns, or subsets of data contained in existing data files.
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    Three Research-Based Quantitative Reasoning Modules for Introductory Organismal Biology Laboratories
    We have designed three laboratory modules for an introductory organismal biology course with an emphasis on quantitative reasoning and data analysis skills. Module 1 tests for dimorphism in...

    Keywords: allometryplantsAnatomytranspirationdimorphisminvertebrate biologyarthropodsplatyhelminths

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    Downloading and Visualizing Project Data from the iNaturalist Database
    In this activity you will learn how to create a query, export, and download data from iNaturalist; load data into R; explore pollinator-plant interactions with R, and create heat map, bipartite,...

    Keywords: data visualizationplantsPlant EcologyPlant-insect interactionsnetwork#iNaturalistBLUEpollinators

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    Importing Data into R
    This short swirl lesson on importing data is designed to 1) get a basic understanding in how tables are read into R and some common issues and 2) develop an individual set of instructions for...

    Keywords: teaching with technologySwirl

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    Cookbook for R
    The goal of the cookbook is to provide solutions to common tasks and problems in analyzing data.

    Keywords: Rdata analysisdata manipulationdata

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    NetLogo refresher course
    This is a supplemental resource from ABM

    Keywords: moduletextbookNetLogoagent-based modelingIndividual & Agent Based Modelingin-class activityproblem set

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    Evolutionary Ecophysiology swirl lesson
    Uses swirl to walk students through how to use R and analyze their own data.
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    Histograms and Boxplots
    This lesson, created for an introductory ecology course, focuses on helping novice R users to import a data file, apply base R plotting functions, and use R Markdown to generate a reproducible report.

    Keywords: RStudiodata visualizationSwirl

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    Bio 18: Statistics for Scientific Data Analysis
    Poster on the a data science course presented at the 2019 BioQUEST & QUBES Summer Workshop
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    Rstudio cheatsheets
    Cheatsheets are quickstart guides to using some of the most popular packages and features of Rstudio.

    Keywords: R

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    Central Dogma, Dictionaries, and Functions: Using Programming Concepts to Simulate Biological Processes
    Technologies like next-generation sequencing, proteomics, and high-throughput phenotyping have transformed the way we do biology. There is a continued need for scientists with computational skills...

    Keywords: computationpythonJupyter notebookFunctionscentral dogmaDictionaries

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    A first lesson in mathematical modeling for biologists: Rocs
    Using a fictitious population of Rocs, a mythical species of giant raptor, students accomplish two broad objectives: 1) they undertake the process of building a first mathematical model of a...

    Keywords: population ecologypopulation modelingdiscrete generationpopulation management

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    6-067-LotkaVolterra-ModelingScenario
    This modeling scenario guides students through the process of fitting the Lotka-Volterra model of two differential equations to a real time series observational data. Students use the capabilities...

    Keywords: time seriesdatacompetitionLotka-Volterramodel fittingpredictiongauseRexperimental

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    Painting turtles: an introduction to species distribution modeling in R
    This module uses R software to introduce students to the process of accessing databases and building species distribution models based on occurrence records.

    Keywords: RResources @ ESA - TIEEfmnDIGspecies distributionshabitat suitabilitycooperative learningjigsaw

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    Working with Datasets in R swirl
    The goal of this lesson is to learn how to import datasets into R, understand variable types, make adjustments to variables, perform basic calculations, and begin data visualization. The exercise...

    Keywords: graphingRStudioclimate change datatidyverseWorking with datasets

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    2008-Ratneesh_Suri-Optimal harvesting strategies for fisheries-differential equations approach
    We develop and investigate the harvesting model in both deterministic and stochastic settings. We first employ the Expected Net Present Value approach and determine optimal harvesting policy using...

    Keywords: optimal controlsustainable yieldmaximum sustainable yieldharvestExpected Net Present Valuecalculus of variationsdynamic programmingmaximum economic yield

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    Digital Herbarium Lab with RStudio: Are shifting abundances of native species detectable over time?
    This 2- to 3-hour lab activity introduces sophomore-level students to digitized herbarium collections, R-coding, and potential reasons for shifting abundances in native and non-native plant species...

    Keywords: data analysistool:rstudionatural historyplant biologyinvasive plantsherbariumnative plantsdigitized natural history collectionsR code

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