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  1. 3451

    Using the NEON API | ESA 2017

    Using the NEON API | ESA 2017 鈥� Using the NEON API | ESA 2017 鈥�
  2. 3452

    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�
  3. 3453

    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�
  4. 3454

    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�
  5. 3455

    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�
  6. 3456

    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�
  7. 3457

    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�
  8. 3458

    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�
  9. 3459

    Spatio-Temporal Workshop 鈥� Oslo, Norway

    Spatio-Temporal Workshop 鈥� Oslo, Norway 鈥� Spatio-Temporal Workshop 鈥� Oslo, Norway 鈥�
  10. 3460

    Spatio-Temporal Workshop

    Spatio-Temporal Workshop 鈥� Spatio-Temporal Workshop 鈥�
  11. 3461

    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�
  12. 3462

    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�
  13. 3463

    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�
  14. 3464

    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�
  15. 3465

    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�
  16. 3466

    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�
  17. 3467

    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�
  18. 3468

    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�
  19. 3469

    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�
  20. 3470

    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�
  21. 3471

    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�
  22. 3472

    Work With Lidar-derived Rasters in R

    Work With Lidar-derived Rasters in R 鈥� Work With Lidar-derived Rasters in R 鈥�
  23. 3473

    NEON Brownbag: Intro to HDF5 at NEON

    NEON Brownbag: Intro to HDF5 at NEON 鈥� NEON Brownbag: Intro to HDF5 at NEON 鈥�
  24. 3474

    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�
  25. 3475

    NEON Brownbag: Intro to Working with HDF5

    NEON Brownbag: Intro to Working with HDF5 鈥� NEON Brownbag: Intro to Working with HDF5 鈥�

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The National Ecological Observatory Network is a major facility fully funded by the U.S. National Science Foundation.

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