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Before and After the Hurricanes: NEON Data for Harvey, Irma and Maria
Before and After the Hurricanes: NEON Data for Harvey, Irma and Maria The hurricane season of 2017 has been one for the record books with three major hurricanes making landfall on U.S. states and territories within a four-week period. Hurricanes Harvey, 鈥� - 3453
Working with Time Series in R using NEON Data | ESA 2017
Working with Time Series in R using NEON Data | ESA 2017 鈥� Working with Time Series in R using NEON Data | ESA 2017 鈥� - 3454
NEON Data Institute 2016: Remote Sensing with Reproducible Workflows in R
NEON Data Institute 2016: Remote Sensing with Reproducible Workflows in R 鈥� NEON Data Institute 2016: Remote Sensing with Reproducible Workflows in 鈥� - 3455
NEON Data Institute 2017: Remote Sensing with Reproducible Workflows using Python
NEON Data Institute 2017: Remote Sensing with Reproducible Workflows using Python 鈥� NEON Data Institute 2017: Remote Sensing with Reproducible Workflows using 鈥� - 3456
Data science competition for converting remote sensing to ecological data
Data science competition for converting remote sensing to ecological data Submissions are due by December 15, 2017 for the following Data Science Challenge Scaling-up ecological patterns and processes is crucial to understanding the effects of 鈥� - 3457
The NEON tower network: from scientific strategy to long-term operation
The NEON tower network: from scientific strategy to long-term operation Join Battelle scientists for the NEON project, Stefan Metzger and Cove Sturtevant as they talk about NEON's flux tower network, atmospheric data collection and the continued 鈥� - 3458
Long-term Biosphere-Atmosphere chemical flux workshop
Long-term Biosphere-Atmosphere chemical flux workshop Battelle scientist Hongyan Luo for the NEON project will be giving a聽presentation on NEON's聽long term biological chemical flux measurement activities.聽 The National Academy of Sciences, Board on 鈥� - 3459
Using Observation Networks to Advance Earth System Understanding: State of the Art, Data-Model Integration, and Frontiers
Using Observation Networks to Advance Earth System Understanding: State of the Art, Data-Model Integration, and Frontiers 鈥� Using Observation Networks to Advance Earth System Understanding: State of the Art, Data-Model Integration, and 鈥� - 3460
Spatio-Temporal Workshop 鈥� Oslo, Norway
Spatio-Temporal Workshop 鈥� Oslo, Norway 鈥� Spatio-Temporal Workshop 鈥� Oslo, Norway 鈥� - 3462
Access & Use of NEON Data, Aquatics Training Palooza 2018
Access & Use of NEON Data, Aquatics Training Palooza 2018 鈥� Access & Use of NEON Data, Aquatics Training Palooza 2018 鈥� - 3463
Happy Thanksgiving
Happy Thanksgiving At NEON, we are all thankful for the opportunity to contribute to the project's mission to gather and synthesize data that could impact ecological research for decades and inspire the next generation of scientists. We wish you and your 鈥� - 3464
Workshop: Using NEON鈥檚 eddy4R eddy-covariance software and data products
Workshop: Using NEON鈥檚 eddy4R eddy-covariance software and data products eddy4R-Docker demo/workshop details This workshop will take place at the Garden Hilton Inn near the AGU 2017 meeting from 7pm - 10pm on Dec 12, 2017. NEON has聽begun to add to the 鈥� - 3465
Harmonizing scale and process representation across the ecosystem of critical zone-oriented models and opportunities for cross-network synthesis
Harmonizing scale and process representation across the ecosystem of critical zone-oriented models and opportunities for cross-network synthesis This webinar will be from 9-10 AM Mountain Time (MT)/5-6 pm Central European Time (CET) and you must register 鈥� - 3466
Using Observation Networks to Advance Earth System Understanding: State of the Art, Data-Model Integration, and Frontiers
Using Observation Networks to Advance Earth System Understanding: State of the Art, Data-Model Integration, and Frontiers Through a community process, this workshop aimed to: identify the current state-of-the-science to model physical, chemical and 鈥� - 3467
Work With Spatial Raster Data & Time Series in R | ESA 2016
Work With Spatial Raster Data & Time Series in R | ESA 2016 鈥� Work With Spatial Raster Data & Time Series in R | ESA 2016 鈥� - 3468
Work with Ecological Time Series Data in R | ESA 2016
Work with Ecological Time Series Data in R | ESA 2016 鈥� Work with Ecological Time Series Data in R | ESA 2016 鈥� - 3469
Workshops & Courses
Workshops & Courses Workshops NEON offers half-day to three-day workshops to train students and researchers on key skills and publicly available tools for working with NEON data. Many workshops are held at regional or national conferences, and many are 鈥� - 3470
A Hands-on Primer for Working with Big Data in R: Introduction to Common Formats & Efficient Data Visualization | ESA 2014
A Hands-on Primer for Working with Big Data in R: Introduction to Common Formats & Efficient Data Visualization | ESA 2014 鈥� A Hands-on Primer for Working with Big Data in R: Introduction to Common Formats & Efficient Data Visualization | ESA 鈥� - 3471
Data Institute Activity: Calculate Index of Interest
Data Institute Activity: Calculate Index of Interest Remote Sensing Indices There are many different indices you might want in your research. NEON provides several indices as data products that have already been calculated and can will be available for 鈥� - 3472
NEON Brownbag: Working With Hyperspectral Imagery in HDF5 Format in R
NEON Brownbag: Working With Hyperspectral Imagery in HDF5 Format in R 鈥� NEON Brownbag: Working With Hyperspectral Imagery in HDF5 Format in 鈥� - 3473
Work With Lidar-derived Rasters in R
Work With Lidar-derived Rasters in R 鈥� Work With Lidar-derived Rasters in R 鈥� - 3474
NEON Brownbag: Intro to HDF5 at NEON
NEON Brownbag: Intro to HDF5 at NEON 鈥� NEON Brownbag: Intro to HDF5 at NEON 鈥� - 3475
NEON & Data Carpentry Spatio-temporal Data Lesson Hackathon
NEON & Data Carpentry Spatio-temporal Data Lesson Hackathon 鈥� NEON & Data Carpentry Spatio-temporal Data Lesson Hackathon 鈥�