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    Remote Sensing of Plants and Topography in R (Project EDDIE) for Advanced GIS class
    Students will explore different possible abiotic drivers of plant growth, defined as greenness and height. In the final step, students will analyze data from around the United States and consider...
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    Climate-Induced Shifts in California Butterflies
    A module in which students generate and test hypotheses about butterfly species’ response to climate change in the Central Valley and Sierra Nevada Mountains of northern California using publicly...
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    Introduction to Data Management and Metadata using NEON aquatic macroinvertebrate data
    This lesson focuses on understanding metadata, the data about the data, using aquatic macroinvertebrate abundance and species information from a variety of NEON sampling locations.
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    Biodiversity Literacy in Undergraduate Education (BLUE): Building standards and resources for using collections data in the classroom
    Abstract for poster on using collections data presented at the 2019 BioQUEST & QUBES Summer Workshop
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    Data Management Adaptation: Correlating Forest Community Dynamics to Climate
    Students use vegetation structure data from the National Ecological Observatory Network to understand necessary steps of data management from data collection to data analysis by correlating...
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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,...
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    Calling Bullshit DCS 105 Bates College Data Visualization Activity Slides
    This is a slide deck containing all in-class data visualization activity slides for the course DCS 105 - Calling Bullshit at Bates College.
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    Saving Endangered Species: Zoos, Museums and Biodiversity Data
    Meet Sinlan (Sheila) Poo who works with amphibians at the Memphis Zoo. Learn about Sinlan's research in applied conservation and how they use biodiversity data to study endangered species.
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    Sorting through the Data
    Meet Thomas McElrath, a insect collection manager at the Illinois Natural History Survey and beetle researcher. Tommy explains the value of data standards while discussing beetles and variations...
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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...
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    2015-Heiko_Enderling-Integrating experimental data to calibrate quantitative cancer models
    For quantitative cancer models to be meaningful and interpretable the number of unknown parameters must be kept minimal. We focus on a tumor hierarchy of cancer stem and progenitor non-stem cancer...
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    1-017-DiseaseSpread-ModelingScenario
    Using a grid and m&m candies, we simulate the spread of disease. Students conduct the simulation and collect data to estimate parameters (in several ways) in a differential equation model for the...
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    1-047a-CondensationOptimization-ModelingScenario
    We seek to optimize a condensation process which is modeled by a simulation using the random motion of 200 particles in a 50 by 50 square in which a particle bounces off the two vertical and top...
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    1-001B-DeathImmigrationMystery-ModelingScenario
    We describe a classroom activity in which students use M\&M candies to simulate death and immigration. Each student conducts an experiment with an immigration rate unique to that student - of that...
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    1-054-GrowthInFarmland-ModelingScenario
    An enriching project developing a model from data with missing temporal information is described. Students fit functions to the data that leads to the creation of a differential equations model,...
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    Using Natural History Collection Data in Your CURE: BLUE BIOME 2020
    This is the report for the BLUE working group from the Biome Institute 2020. It reflects our group's efforts and products related to CUREs and Natural History Collection Digital Data.
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    Facilitating the implementation and adaptation of data-centric teaching resources by closing gaps in the Open Education Resource (OER) lifecycle
    Presentation on data-centric open educational resources given at the 2019 UBER-GRC
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    Connecting Students to Citizen Science and Curated Collections
    This educational module utilizes the traditional plant collection experience to engage students with biodiversity data protocols and resources available in our information-rich digital age.
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    DIG into Data for the Biology Classroom
    Session presentation on ecological data-centric teaching modules at the 2018 QUBES/BioQUEST Summer Workshop
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    Performing a Population Viability Analysis from Data Students Collect on a Local Plant
    Experiment included in Teaching Issues and Experiments in Ecology (TIEE) Volume 9
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