Skip to main content
U.S. flag

An official website of the United States government

Official websites use .gov
A .gov website belongs to an official government organization in the United States.

Secure .gov websites use HTTPS
A lock ( ) or https:// means you’ve safely connected to the .gov website. Share sensitive information only on official, secure websites.

Skip to content

Fine root production in tidally influenced freshwater forested wetlands in South Carolina and Georgia, USA (2016-2017)

Metadata Updated: October 29, 2023

This dataset includes fine root productivity data that were estimated via two techniques (serial coring and root in-growth bags) in tidal freshwater wetlands and adjacent oligohaline marshes in coastal South Carolina and Georgia from March 2016 through October 2017.

Access & Use Information

Public: This dataset is intended for public access and use. License: No license information was provided. If this work was prepared by an officer or employee of the United States government as part of that person's official duties it is considered a U.S. Government Work.

Downloads & Resources


Metadata Created Date June 1, 2023
Metadata Updated Date October 29, 2023

Metadata Source

Harvested from DOI EDI

Additional Metadata

Resource Type Dataset
Metadata Created Date June 1, 2023
Metadata Updated Date October 29, 2023
Publisher U.S. Geological Survey
Identifier USGS:5d2e23a0e4b038fabe22dc48
Data Last Modified 20210122
Category geospatial
Public Access Level public
Bureau Code 010:12
Metadata Context
Metadata Catalog ID
Schema Version
Catalog Describedby
Harvest Object Id 4a9a909d-d798-4a4c-bade-93f070206667
Harvest Source Id 52bfcc16-6e15-478f-809a-b1bc76f1aeda
Harvest Source Title DOI EDI
Metadata Type geospatial
Old Spatial -81.4,31.9,-79.1,33.6
Publisher Hierarchy White House > U.S. Department of the Interior > U.S. Geological Survey
Source Datajson Identifier True
Source Hash 34070e8ff62be38bf24dcbebf314f7c3d2d2d2ec9ccddce9774ed4efe5678751
Source Schema Version 1.1
Spatial {"type": "Polygon", "coordinates": -81.4, 31.9, -81.4, 33.6, -79.1, 33.6, -79.1, 31.9, -81.4, 31.9}

Didn't find what you're looking for? Suggest a dataset here.