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GCE-LTER Data Catalog Information

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8 Records
Data Set Period Theme Contributor Added

PLT-GCED-2106:
Monthly Spartina alterniflora marsh vegetation data for additional sites along the Georgia coast used in the Belowground Ecosystem Resiliency Model

05/01/2016 - 10/31/2016 Plant Ecology Jessica L. O'Connell 06/13/2021

PLT-NASA-2006b:
Leaf area index and above ground biomass for Juncus roemerianus in the Grand Bay National Estuarine Research Reserve from 2015 to 2019

01/21/2015 - 11/07/2019 Plant Ecology Deepak Mishra 06/12/2020

PLT-NASA-2006a:
Leaf area index for Spartina alterniflora near the GCE-LTER Flux Tower in 2018 and 2019

08/22/2018 - 12/10/2019 Plant Ecology Deepak Mishra 06/12/2020

MSH-NASA-2006:
Eddy covariance 30-minute CO2 fluxes with accompanying biophysical variables from the Grand Bay, Mississippi flux tower site from March 2018 to January 2019

03/13/2018 - 01/01/2019 Marsh Ecology Peter Hawman 06/12/2020

MSH-GCET-2006:
Eddy covariance 30-minute CO2 fluxes with accompanying biophysical variables from the GCE-LTER flux tower site from December 2018 to January 2020

12/13/2018 - 01/31/2020 Marsh Ecology Peter Hawman 06/12/2020

MSH-GCE0-1904:
Variation in Landsat 8-estimated land surface temperature with elevation from Spartina alterniflora marsh cross sections in the Georgia Coastal Ecosystems Long Term Ecological Research (GCE-LTER) site and Virginia Coast Reserve (VCR) LTER sites for winter and summer observations spanning 2013-2018

08/01/2013 - 10/01/2018 Marsh Ecology Merryl Alber 04/16/2019

MSH-GCED-1904:
Continuous soil temperature measurements at 10 cm depth from 3 month-long deployments in summer and winter within the Georgia Coastal Ecosystems Long Term Ecological Research (GCE-LTER) site in 2017 and 2018

07/27/2017 - 09/18/2018 Marsh Ecology Merryl Alber 04/11/2019

PLT-GCEM-1610:
Monthly Vegetation and Invertebrate Population Monitoring near the Georgia Coastal Ecosystems LTER Flux Tower

06/11/2013 - 12/31/2021 Plant Ecology Steven C. Pennings 01/01/2016
LTER
NSF

This material is based upon work supported by the National Science Foundation under grants OCE-9982133, OCE-0620959, OCE-1237140 and OCE-1832178. 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.