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Predicting landscape effects of Mississippi River diversions on soil organic carbon sequestration

Metadata Updated: July 6, 2024

It contains supporting data from the wetland morphology modeling to support the analysis on the landscape effects of Mississippi River diversions in the context of sea-level rise on soil organic carbon (SOC) sequestration along coastal Louisiana wetlands.

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

Dates

Metadata Created Date June 1, 2023
Metadata Updated Date July 6, 2024

Metadata Source

Harvested from DOI EDI

Additional Metadata

Resource Type Dataset
Metadata Created Date June 1, 2023
Metadata Updated Date July 6, 2024
Publisher U.S. Geological Survey
Maintainer
@Id http://datainventory.doi.gov/id/dataset/5d56ba05536d8ece73f3e8d3d9e84bb1
Identifier USGS:5899df86e4b0efcedb71a4a8
Data Last Modified 20200830
Category geospatial
Public Access Level public
Bureau Code 010:12
Metadata Context https://project-open-data.cio.gov/v1.1/schema/catalog.jsonld
Metadata Catalog ID https://datainventory.doi.gov/data.json
Schema Version https://project-open-data.cio.gov/v1.1/schema
Catalog Describedby https://project-open-data.cio.gov/v1.1/schema/catalog.json
Harvest Object Id e7d54392-5b82-4eb3-be16-a60b4ae27a9f
Harvest Source Id 52bfcc16-6e15-478f-809a-b1bc76f1aeda
Harvest Source Title DOI EDI
Metadata Type geospatial
Old Spatial -91.018981933563,28.83466668989,-88.706359863342,30.405666916348
Publisher Hierarchy White House > U.S. Department of the Interior > U.S. Geological Survey
Source Datajson Identifier True
Source Hash 0c28a10ba9b3ca1b076d05cee6c92f40a9b33616e125059f420f3bd3be3bd348
Source Schema Version 1.1
Spatial {"type": "Polygon", "coordinates": -91.018981933563, 28.83466668989, -91.018981933563, 30.405666916348, -88.706359863342, 30.405666916348, -88.706359863342, 28.83466668989, -91.018981933563, 28.83466668989}

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