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Presentations Oral Presentations Tools for Sensor Data Quality Control
(contributed by Wade M. Sheldon, 2017)
PDF file
    EML Packages from the GCE Data Toolbox
(contributed by Wade M. Sheldon, 2017)
PDF file
    Putting the Archives to Work: Workflow and Metadata-driven Analysis in LTER Science
(contributed by Wade M. Sheldon, 2014)
PDF file
    Example Workflows for Sensor Data Processing and QA/QC
(contributed by Wade M. Sheldon, 2014)
PDF file
    The GCE Data Toolbox
(contributed by Wade M. Sheldon, 2014)
PDF file
    Listening to and learning from local ecological knowledge: A social science pilot study in McIntosh County, GA
(contributed by Danyel Addes, 2014)
PDF file
    Using MATLAB to Analyze LTER Data in PASTA and ClimDB
(contributed by Wade M. Sheldon, 2012)
PDF file
    Cranes, Planes, and Planktonic Meals: Habitat Characterizations in Gulf and East Coast NOAA National Estuarine Research Reserves
(contributed by John F. Schalles, 2012)
PDF file
    From Scientist and Sensor to Synthesis: Metabase Metadata Management System
(contributed by Wade M. Sheldon, 2012)
PDF file
    Transparent Metadata Capture for Environmental Science
(contributed by Wade M. Sheldon, 2012)
PDF file
    Dynamic, Rule-based Quality Control Framework for Real-time Sensor Data
(contributed by Wade M. Sheldon, 2011)
PDF file
    GCE Data Toolbox for MATLAB An Introduction
(contributed by Wade M. Sheldon, 2010)
PDF file
    GCE-LTER Taxonomic Database
(contributed by Wade M. Sheldon, 2009)
PDF file
    Dynamic, Rule-based Quality Control Framework for Real-time Sensor Data
(contributed by Wade M. Sheldon, 2008)
MS PowerPoint
    Synthesis of incomplete and qualified data using the GCE Data Toolbox
(contributed by Wade M. Sheldon, 2007)
MS PowerPoint
25 Records
LTER
NSF

This material is based upon work supported by the National Science Foundation under grants OCE-9982133, OCE-0620959 and OCE-1237140. Any opinions, findings, conclusions, or recommendations expressed in the material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.