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Title GCE data and metadata submission form for tabular and non-tabular data files (legacy version)
Archive All Files / Other Files / Forms / Data Submission

Note: This form has been deprecated as of October 2018. Please used the new GCE Data Submission web forms ( to enter or revise data set documentation (metadata), and use the updated Excel data submission template ( to prepare your data file(s) for archiving.


This Microsoft Excel spreadsheet template is provided for submitting metadata (documentation) for both tabular and non-tabular data sets to the GCE Information Management Office for archiving in the GCE Data Catalog and LTER Data Portal. More information about GCE data submission is available at

For tabular data (e.g. spreadsheets, logger files), the data values and column information can be included in the "Tabular Data" worksheet along with the documentation metadata, or provided separately if prior arrangements are made with IM staff for parsing data from specialized formats (e.g. raw data logger files, real-time data telemetry or lab-specific storage formats).

For non-tabular data (e.g. GIS files, raster imagery, genomics data), the data file(s) can be described in the template and then uploaded separately, or download links can be provided in the "Non-Tabular Data" worksheet.

Completed templates and data files (if provided separately) should be uploaded to the GCE IM office using the "Submit Data" form on the Private GCE Web Site (

Note that a GCE Data Submission Training presentation and Zip archive of sample submissions are also available for downloading (see

Contributors Wade Sheldon and Adam Sapp

Wade Sheldon and Adam Sapp. 2017. GCE data and metadata submission form for tabular and non-tabular data files (legacy version). Georgia Coastal Ecosystems LTER File Archive, University of Georgia, Athens, Georgia. (

Key Words data submission, form, IM, metadata, spreadsheet, template
File Date Jan 04, 2017 (version 35)
Web Link MS Excel file
view/download MS Excel file
(383 kb)

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.