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3351
Webinar: What’s available from NEON for your NSF MacroSystems proposal?
Webinar: What’s available from NEON for your NSF MacroSystems proposal? Join this webinar, hosted by Ecological Society of America, to learn more about the NSF MacroSystems Biology and Early NEON Science: Research on Biological Systems at Regional to ��
3352
Talking bathymetric mapping techniques at the American Fisheries Society Annual meeting
Talking bathymetric mapping techniques at the American Fisheries Society Annual meeting In late August, aquatic scientists from around the world descended upon Tampa, Florida to attend the American Fisheries Society (AFS) 2017 annual meeting . This year’s ��
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Ecological community mourns Henry Gholz
Ecological community mourns Henry Gholz We at Battelle are saddened by the unexpected death of our colleague, Henry Gholz, a visiting scientist assisting with the NEON project and someone who supported our larger science community engagement efforts. ��
3354
4th Annual Life Discovery - Doing Science Biology Education Conference (LDC)
4th Annual Life Discovery - Doing Science Biology Education Conference (LDC) Conference Theme: Data: Discover, Investigate, Inform The study of organisms presents myriad forms, visualizations, and uses of data that stimulate new questions and engender ��
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Joint Meeting of The American Society of Agronomy, Crop Science Society of America, and Soil Science Society of America
Joint Meeting of The American Society of Agronomy, Crop Science Society of America, and Soil Science Society of America Registration is open for this event through October 25 The American Society of Agronomy, Crop Science Society of America, and Soil ��
3356
Documents and Communication Resources
Documents and Communication Resources NEON provides a variety of documents and communication resources to support researchers, educators and students in learning about the NEON program and using NEON data. The linked webpages below provide you with the ��
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14th annual Research Insights in Semiarid Ecosystems (RISE) Symposium
14th annual Research Insights in Semiarid Ecosystems (RISE) Symposium The 14th annual Research Insights in Semiarid Ecosystems (RISE) Symposium will be held Saturday, 21 October 2017, 8:30 AM to 3:00 PM on the University of Arizona campus. The objectives ��
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Helping our employees in Puerto Rico after Hurricane Maria
Helping our employees in Puerto Rico after Hurricane Maria Battelle employees worked together to help our employees located at various NEON project sites after Hurricane Maria devastated the island of Puerto Rico. Learn more about how they helped solve ��
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Integration of terrestrial observational networks: Opportunity for improvement of Earth system dynamics modeling
Integration of terrestrial observational networks: Opportunity for improvement of Earth system dynamics modeling This webinar will be from 9-10 AM Mountain Standard Time (MST)/5-6 pm Central European Time (CET) on November 8, 2017. NOTE: For best audio ��
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Hierarchical Data Formats - What is HDF5?
Hierarchical Data Formats - What is HDF5? Learning Objectives After completing this tutorial, you will be able to: Explain what the Hierarchical Data Format (HDF5) is. Describe the key benefits of the HDF5 format, particularly related to big data. ��
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Create HDF5 Files in R Using Loops
Create HDF5 Files in R Using Loops Learning Objectives After completing this tutorial, you will be able to: Understand how HDF5 files can be created and structured in R using the rhfd libraries. Understand the three key HDF5 elements: * the HDF5 file ��
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HDFView: Exploring HDF5 Files in the Free HDFview Tool
HDFView: Exploring HDF5 Files in the Free HDFview Tool In this tutorial you will use the free HDFView tool to explore HDF5 files and the groups and datasets contained within. You will also see how HDF5 files can be structured and explore metadata using ��
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Introduction to HDF5 Files in R
Introduction to HDF5 Files in R Learning Objectives After completing this tutorial, you will be able to: Understand how HDF5 files can be created and structured in R using the rhdf5 libraries. Understand the three key HDF5 elements: the HDF5 file itself, ��
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Using the NEON API in R
Using the NEON API in R This is a tutorial in pulling data from the NEON API or Application Programming Interface. The tutorial uses R and the R package httr, but the core information about the API is applicable to other languages and approaches. ��
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Work With NEON's Plant Phenology Data
Work With NEON's Plant Phenology Data Many organisms, including plants, show patterns of change across seasons - the different stages of this observable change are called phenophases. In this tutorial we explore how to work with NEON plant phenophase ��
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Work with NEON's Single-Aspirated Air Temperature Data
Work with NEON's Single-Aspirated Air Temperature Data In this tutorial, we explore the NEON single-aspirated air temperature data. We then discuss how to interpret the variables, how to work with date-time and date formats, and finally how to plot the ��
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Plot Continuous & Discrete Data Together
Plot Continuous & Discrete Data Together This tutorial discusses ways to plot plant phenology (discrete time series) and single-aspirated temperature (continuous time series) together. It uses data frames created in the first two parts of this series, ��
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Getting Started with the R Programming Language
Getting Started with the R Programming Language R is a versatile, open source programming language that was specifically designed for data analysis. R is extremely useful for data management, statistics and analyzing data. This tutorial should be seem ��
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Build & Work With Functions in R
Build & Work With Functions in R Sometimes we want to perform a calculation, or a set of calculations, multiple times in our code. We could write out the equation over and over in our code -- OR -- we could chose to build a function that allows us to ��
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Installing & Updating Packages in R
Installing & Updating Packages in R This tutorial provides the basics of installing and working with packages in R. Learning Objectives After completing this tutorial, you will be able to: Describe the basics of an R package Install a package in R Call ��
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Filter, Piping, and GREPL Using R DPLYR - An Intro
Filter, Piping, and GREPL Using R DPLYR - An Intro Learning Objectives After completing this tutorial, you will be able to: Filter data, alone and combined with simple pattern matching grepl(). Use the group_by function in dplyr. Use the summarise ��
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Raster 00: Intro to Raster Data in R
Raster 00: Intro to Raster Data in R In this tutorial, we will review the fundamental principles, packages and metadata/raster attributes that are needed to work with raster data in R. We discuss the three core metadata elements that we need to understand ��
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Raster 01: Plot Raster Data in R
Raster 01: Plot Raster Data in R This tutorial reviews how to plot a raster in R using the plot() function. It also covers how to layer a raster on top of a hillshade to produce an eloquent map. Learning Objectives After completing this tutorial, you will ��
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Raster 04: Work With Multi-Band Rasters - Image Data in R
Raster 04: Work With Multi-Band Rasters - Image Data in R This tutorial explores how to import and plot a multiband raster in R. It also covers how to plot a three-band color image using the plotRGB() function in R. Learning Objectives After completing ��
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Vector 00: Open and Plot Shapefiles in R - Getting Started with Point, Line and Polygon Vector Data
Vector 00: Open and Plot Shapefiles in R - Getting Started with Point, Line and Polygon Vector Data In this tutorial, we will open and plot point, line and polygon vector data stored in shapefile format in R. Learning Objectives After completing this ��