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    Identifiers in Digital Natural History Collections
    This is a collection of resources focusing on GUIDs (Globally Unique Identifiers) on what they are, what role they play in digital natural history collections, and how to incorporate them in...

    Keywords: idigbioStudy guidedata managementnatural history collectionsBLUEdigitized natural history collectionsidentifiers

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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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    Riverbird distributions and habitat use
    Riverbirds are widespread, use diverse riparian habitats, and respond rapidly to changing conditions. Students can apply riverbird data to evaluate hypotheses about these responses, while gaining...

    Keywords: logistic regressionHabitat selectionRiver Field Studies NetworkWaterfowl raptorkingfisherheronfocal speciesmonitorriverbank

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    Building Biodiversity Datasets for Invasive Species
    A module guiding students through the process of mapping biodiversity data and building a biodiversity dataset to study the spread and impacts of the invasive aquatic plant species, European...

    Keywords: Management Of Datanatural historyField researchconservation ecologyAquatic invasive speciesbiodiversity informatics

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    Large Datasets in R - Plant Phenology & Temperature Data from NEON
    This module series covers how to import, manipulate, format and plot time series data stored in .csv format in R. Originally designed to teach researchers to use NEON plant phenology and air...

    Keywords: data in the classroomtool:rstudiophenologydata managementNEONtemperature

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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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    Competition under the Sea: Exploring the competitive interaction between native and non-native seagrasses in the Caribbean
    A mini-case study that uses real-world data to explore the competitive interaction among seagrasses.

    Keywords: ecologycompetitionconservation ecologywater resource managementseagrassCaribbean

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    Ethics in ecological forecasting: four case-based teaching modules
    Working with ecological data often involves ethical considerations, particularly when data are applied to address societal needs. However, data science ethics are rarely included as part of...

    Keywords: data scienceremote sensingethicsuncertaintyecological forecastingindigenous knowledgetropical forestscultural competenceconflicts of interestmarine fisheriesflying foxesfreshwater qualityinequities

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    Rivers as Social-Ecological-Technological Systems: Integrative Issue Formulation and Problem Solving
    Flowing surface waters continue to capture the human imagination and are increasingly harnessed by many interdependent human activities. Existing theories for studying rivers as cohesive ecological...

    Keywords: Interdisciplinary STEMProblem based learningcomplex systemsexperiential learningRiver Field Studies Network

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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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    What is Data Science - Introduction to Data Science
    Data Science is the technology that goes behind handling and working with data in the 21st century. Data Science concepts have proved to be the pinnacle in the last couple of years with the onset...
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    Introduction to Python for Data Science Course
    Free Introduction to Python for Data Science Course at DataCamp

    Keywords: data scienceonline learningcoursepythonfree

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    Remote sensing data processing – NEON airborne data
    Concepts of remote sensing and data logistics, and NEON remote sensing data are introduced. Students learn how to apply spatial data processing and visualization skills using R coding program to...

    Keywords: RlandscapebiomassProblem Solvingraster raster data processingspatial data visualizationvegetation indicescanopy

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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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    DataCamp
    DataCamp: The Easiest Way to Learn Data Science Online

    Keywords: statisticsRcurriculumdata visualizationdata scienceonline learningcoursemachine learningpythonlab protocol

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    Why, when, and how to cite sources of biodiversity specimen data
    This short video and assessment explain why we as scientists should cite our data sources and how we can do this for sources of biodiversity specimen data.
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    Get Started With GIS in Open Source Python Workshop
    There are a suite of powerful open source python libraries that can be used to work with spatial data. Learn how to use geopandas, rasterio and matplotlib to plot and manipulate spatial data in...

    Keywords: data analysisdatadata typesdata visualizationdata scienceearth sciencepythonremote sensingGeographic Information System (GIS)data science educationcomputer programmingwildfireearth anlaytics

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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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    Introduction to Earth Data Science Textbook
    Introduction to Earth Data Science is an online textbook for anyone new to open reproducible science and the Python programming language. There are no prerequisites for this material, and no prior...

    Keywords: data analysisdatadata typesdata visualizationdata scienceearth sciencepythonremote sensingGeographic Information System (GIS)data science educationcomputer programmingwildfireearth analytics

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    Earth Analytics in R Course
    Earth analytics is an advanced, 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 visualizationdata scienceearth scienceR programming languageremote sensingGeographic Information System (GIS)data science educationcomputer programmingwildfireearth analytics

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