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    Module M.7 Generalized linear mixed-effects models
    Introduction to Primate Data Exploration and Linear Modeling with R was created with the goal of providing training to undergraduate biology students on data management and statistical analysis...

    Keywords: R programming languageprimatespopulation ecology

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    Module M.3 Visualizing data with ggplot2
    Introduction to Primate Data Exploration and Linear Modeling with R was created with the goal of providing training to undergraduate biology students on data management and statistical analysis...

    Keywords: R programming languageprimatespopulation ecology

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    BEDE Network Data Science Skills Curriculum Map
    The Biological and Environmental Data Education (BEDE) Network has produced this data science skills curriculum map as a flexible tool to help instructors highlight data science skills that they...

    Keywords: quantitative skillsscientific literacyCurriculum developmentdata science skills trainingdata literacy skills

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    Introduction to Primate Data Exploration and Linear Modeling with R
    Introduction to Primate Data Exploration and Linear Modeling with R was created with the goal of providing training to undergraduate biology research students on data management and statistical...

    Keywords: R programming languageprimatespopulation ecology

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    Module M.5 Linear mixed-effects models
    Introduction to Primate Data Exploration and Linear Modeling with R was created with the goal of providing training to undergraduate biology students on data management and statistical analysis...

    Keywords: R programming languageprimatespopulation ecology

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    Module M.8 Survival analysis
    Introduction to Primate Data Exploration and Linear Modeling with R was created with the goal of providing training to undergraduate biology students on data management and statistical analysis...

    Keywords: R programming languageprimatespopulation ecology

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    Module M.6 Generalized linear models
    Introduction to Primate Data Exploration and Linear Modeling with R was created with the goal of providing training to undergraduate biology students on data management and statistical analysis...

    Keywords: R programming languageprimatespopulation ecology

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    Module M.4 Simple linear regression analysis
    Introduction to Primate Data Exploration and Linear Modeling with R was created with the goal of providing training to undergraduate biology students on data management and statistical analysis...

    Keywords: R programming languageprimatespopulation ecology

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    Module M.2 Descriptive statistics
    Introduction to Primate Data Exploration and Linear Modeling with R was created with the goal of providing training to undergraduate biology students on data management and statistical analysis...

    Keywords: R programming languageprimatespopulation ecology

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    Sexual Dimorphism CURE: Exploring Melanized Wing Patterns of Pieridae Butterflies
    Teach a Course-based Undergraduate Research Experience (CURE) using digitized natural history collections data to test hypotheses on sexually dimorphic wing melanization patterns of Pieris rapae...

    Keywords: data analysismorphologyidigbiosexual dimorphismdata managementImageJsexual selectionnatural history collectionsbutterflycourse-based research experiences (CUREs)digitized natural history collectionsQGISmorphometricsBCEENETgeoreferencing

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    REMNet Tutorial, R Part 3: Creating Alpha Diversity Plots in R 5.2.19
    Video on creating alpha diversity plots in R from the Research Experiences in Microbiomes Network

    Keywords: VideoMicrobiology EducationR programming languagemicrobiomesCoastal wetlandsmanagementnortheastsea-level risesalt marshresearch in the classroomREMNeturban microbiomes

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    Distributions CURE- Exploring Species Distribution Changes and their Drivers
    This course-based undergraduate research experience (CURE) uses digitized natural history collections data to answer questions about species distributions and their drivers. This inclusive CURE can...

    Keywords: Evolutionecologyidigbiodata management#iNaturalistcourse based undergraduate research experienceshuman impactsspecies distributionscourse-based research experiences (CUREs)digitized natural history collectionsGBIFQGISBCEENETgeoreferencing

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    Statistics with epidemiology of COVID-19
    Introduction into heat maps, non-parametric t-test and GIF (optional) in R using an original dataset on COVID-19 infections from different counties of New Jersey, USA. Suitable for students who...

    Keywords: Rundergraduate educationheat mapsCOVID19coronavirusSARS-CoV-2GIF

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    US Forest Service land management efforts with Kurt Sable
    Kurt Sable has been a Hydrologist for the US Forest Service for 17 years, working for three different National Forests in Northern California. He supplies insight on the watershed restoration...

    Keywords: forest ecologyhydrologywildfirenatural resources

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    BCEENET- Broadening undergraduate participation in ecology and evolution research through CUREs using digitized natural history collections data (RCN-UBE Introduction)
    Biological Collections in Ecology and Evolution Network (BCEENET) brings together natural history collections (NHC) professionals, undergraduate educators, data experts, and researchers to support...

    Keywords: Evolutionecologybiologyundergraduate researchdata managementnatural history collectionscourse-based research experiences (CUREs)digitized natural history collectionsBCEENETcourse-based undergraduate research experiences (CUREs)RCN-UBE Introduction

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    How We Help: Human elements of restoration ecology
    In this lesson, students recall the basics of restoration ecology, interpret and predict several graphs that explain restoration manager characteristics, and reflect on an interview with...

    Keywords: graph interpretationEcosystem Ecologyfmnconservation biologydata literacyinvasive plantsLGBTQRestoration Ecologyriparian ecologyNatural Resource ManagementBioGraphIrepresentation in STEM

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    Disturbance and Succession an Active Learning Lecture
    Learning Objectives: Identify and understand examples of disturbance --- Provide examples of and know/understand the differences between primary and secondary succession --- Know how ecologists...

    Keywords: wildlifelandscape ecologydisturbanceintermediate disturbance hypothesisfiresuccessionsmokey bearlandscape managementchronosequenceprimary successionsecondary succession

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    An Introduction to Revealing Hidden Figures through Data Sleuthing
    In this introduction to hidden figures in natural history collections (NHCs), students will read an article that gives a unique historical perspective of museums and will then participate in a...

    Keywords: identitysocial justicenatural history collectionsAttributionBCEENETdigitizationRepresentationcourse-based undergraduate research experiences (CUREs)hidden figuresdata democratizationrestorative practice

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    Aquatic ecology with Diana Hitchen
    Our LWS interview with aquatic ecologist for the Great Basin Institute and Bureau of Land Management, Diana Hitchen.
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    Earth Analytics in Python Course
    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...

    Keywords: data analysisdatadata typesdata scienceearth sciencepythonpermafrostremote sensingfloodsGeographic Information System (GIS)data science educationcomputer programmingwildfireearth analytics

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