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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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    Using Digitized Collections-Based Data in Research: A Hands-On Crash Course in Ecological Niche Modeling
    Step-by-step, hands-on instruction on ways to access and download these specimen data, how to process climate layer data, and how to apply Maxent software to construct ecological niche models.

    Keywords: ecology labbiodiversity informaticsnatural history collectionsMicrosoft Excelbiodiversity collectionsRstatsecological niche modelingQGISENMToolsMaxent

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    Ecological Forecasting Repository of Online Educational Resources
    This pdf provides a list of over 100 educational resources related to tools and skills related to ecological forecasting.

    Keywords: statisticsvideosecologymodel buildingmodulespythonecological forecastingonline course materialcode repositoriesonline textbooksbasics of Rdata sourcesdata skillsforecast cycleapplying forecastsdecision science

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    Learn Biological Sciences and Environmental Science through biodiversity and pollution
    Biodiversity or biological diversity is the variety of and variability of biological life on Earth. Biodiversity is existing due to variation among living organisms from different sources air,...

    Keywords: databiologydata scienceBiodiversityclimateenvironmental scienceSpeciespollutionanalyze data

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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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    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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    Atlas of Black Scholarship for Inclusive and Racially Diverse STEM Curricula – Volume I
    The contributions of Black scientists to the advancement of STEM are poorly represented in course materials. Here, we provide an Atlas of Black Scholarship to help Life Sciences and Chemistry...

    Keywords: BLACK SCIENTISTS IN STEMRACIALLY-RESPONSIVE PEDAGOGYBIOLOGY AND CHEMISTRY EDUCATIONDIVERSITY IN STEM CURRICULUM

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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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    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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    Earth Analytics Bootcamp Course
    The Earth Analytics Bootcamp is a three-week introductory-level course taught by instructors in Earth Lab and is a part of the Professional Certificate in Earth Data Analytics - Foundations at CU...

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

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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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    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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    Data simulation and randomization tests
    A participatory live-coding lesson on simulating data and performing randomization tests on ecological data in R.
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    Introduction to Version Control and Git Workshop
    Learn how to use version control with Git to work collaboratively and back up your work.

    Keywords: data analysisdatadata typesdata scienceearth sciencepythonremote sensinggithubversion controldata science educationcomputer programmingwildfireearth analyticsvgeographic information systems

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