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    1-088-RoomTemperature-ModelingScenario
    Students will analyze temperature variations in a room using Newton's Cooling Law. In this model, the only influence on the indoor temperature is the (oscillating) outdoor temperature (as we assume...

    Keywords: environmentclimatetemperatureNewton's Law of Coolingcoolingperiodic function

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    3-041-UpDown-ModelingScenario
    Shoot a projectile straight up in the air. Determine maximum height the projectile will go. Consider time T(a) (0 < a < 1) it takes between when the projectile passes distance a.H going up and...

    Keywords: gravityprojectile motionfalling bodymaximum heightftiming

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    7-020-ThermometerInVaryingTempStream-ModelingScenario
    We present a first order differential equation model for the temperature of a mercury thermometer which is sitting in a stream of water whose temperature oscillates. We suggest a solving strategy...

    Keywords: temperaturesteady statethermometerheat exchangetransfer functionphase lagInvers Laplace Transform

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    1-108-PoissonProcess-ModelingScenario
    In this project students learn to derive the probability density function (pdf) of the Poisson distribution and the cumulative distribution (cdf) of the waiting time. They will use them to solve...

    Keywords: Probabilitysstochastic processesPoisson processwaiting timearrival

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    Will You Find This Humerus? Homology Lab
    Students will compare and contrast the morphology of vertebrate forelimbs, and will use this knowledge to draw conclusions about their common ancestor and descent with modification.

    Keywords: Evolutionbiologyidigbionatural history collections3D modelsVertebrate MorphologyoVerthomologous structuresWWISE

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    Advanced Student Molecular Case Study Authorship Scaffolded Project and Rubric
    Instructions, assignment prompts, and a rubric for assessing advanced undergraduate authorship of molecular case studies
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    Adaptation of Plants in the Human-Altered Environment (PHAE) for a non-lab course on biodiversity conservation
    PHAE is a project to compare effects of landscape alteration intensities on plant biomass and diversity. This adaptation modifies the (adapted) modules for a non-lab course on conservation,...

    Keywords: erenNEONdiversitybiomass4DEE Frameworkecosystemsocioeconomic effects

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    Case Study: Pollination of the Early Spider Orchid (Ophrys sphegodes) by the Solitary Bee (Andrena nigroaenea)
    The research uses natural history collection data to explore a potential phenological shift between an orchid that employs sexual deception and a solitary bee.

    Keywords: pollination biologyClimate change and phenologydigitized natural history collectionsPseudocopulation

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    Bioinformatics: the Power of Computers in Biology – a Practical Guide
    This Practical Guide in the Bringing Bioinformatics into the Classroom series introduces simple bioinformatics approaches for database searching and sequence analysis.

    Keywords: NIBLSEGOBLET

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    What Moves You?
    Using various bone segments to create joints that will explain planar movement and then develop a mechanical model of different joint types that will allow certain movement in a robotic unit.
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    Exploring Functions for Common Phage Proteins
    This resource is designed to help students better understand the functions of common structural and enzymatic phage proteins, and to relate these functions to phage structure using electron...
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    Plants in the Human-Altered Environment (PHAE): EREN-NEON Flexible Learning Project
    A project to compare effects of a continuum of landscape alteration intensities on plant diversity, biomass, and ecosystem services, and to explore human socioeconomic connections to plants in the...

    Keywords: erenNEONdiversitybiomass4DEE Frameworkecosystemsocioeconomic effects

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    Integration of Bioinformatics into Life Science Curricula: Community Development, Dissemination, and Assessment of a NIBLSE Learning Resource
    Big data and computational tools have transformed the way we address biological questions. To prepare undergraduates for tomorrow’s challenges, life science curricula should integrate the...

    Keywords: bioinformaticsNIBLSELife Science

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    Introduction to Genome Annotation
    This exercise is an adaptation of the Annotation Lesson by Rosenwald et al. It introduces the use of bioinformatics tools to extract information from genome databases. It is a basic lesson on...

    Keywords: microbiologyGenome annotationBioinformatics EducationBioinformatics and Genomics

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    Aquatic Nutrient Levels and Climate Change
    This learning module was designed to introduce students to the aquatic nutrients nitrogen and phosphorus, their roles in ecosystem function and nutrient pollution, and what impacts climate change...

    Keywords: climate changenitrogenwater resourcesfreshwater systemsEutrophicationwater qualitynutrient pollutionphosphorusdischargeTMDL

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    The p53 Gene and Cancer
    This tutorial describes the structure and function of the p53 protein, how its activity is regulated in cells, and how mutant versions of p53 can lead to cancer.

    Keywords: Resources @ HHMI - BioInteractiveBiochemistrymolecular biologymacromoleculesGenetic disease

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    Adaptation of Investigating human impacts on stream ecology: locally and nationally
    TIEE Module- How does nutrient pollution impact stream ecosystems locally and nationally?
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    Amylase Copy Number and Diet
    An adapted module from HHMI Spreadsheet Tutorials using amylase data for students to gain data analysis and excel skills

    Keywords: Scientific ProcessStatistics and MathScientific Methodology

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    Spider Silk: Stress-Strain Curves and Young's Modulus
    This module introduces the stress-strain curve in the context of understanding materials' mechanical behavior. It is intended for an introductory biology audience.

    Keywords: structurestressbiomechanicsFunctionsstrainYoung's Modulusmechanical

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    Exploring the functionality of R
    Students work with example data to generate a length-weight plot and use lm() to obtain regression coefficients. Base plot functions are used to plot both the data and the regression line.
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