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  1. Data to quantify ecosystem states and state transitions of the Upper Mississippi River using topological data analysis

Data to quantify ecosystem states and state transitions of the Upper Mississippi River using topological data analysis

Dates

Publication Date
Start Date
1993-01-01
End Date
2020-01-01

Citation

Larson, D.M., Bungula, W., McKean, C., Stockdill, A., Lee, A., Miller, F., and Davis, K., 2023, Data to quantify ecosystem states and state transitions of the Upper Mississippi River using topological data analysis: U.S. Geological Survey data release, https://doi.org/10.5066/P976O6PP.

Summary

The dataset and analysis scripts accompanies the scientific article, "Quantifying ecosystem states and state transitions of the Upper Mississippi River using topological data analysis." We coupled this highly dimensional dataset with multiple topological data analysis (TDA) techniques to classify ecosystem states, identify state variables, and detect state transitions over 30 years.

Contacts

Point of Contact :
Danelle M Larson
Process Contact :
Danelle M Larson
Originator :
Danelle M Larson, Wako Bungula, Casey McKean, Alaina Stockdill, Amber Lee, Frederick Miller, Killian Davis
Metadata Contact :
Danelle M Larson
Distributor :
U.S. Geological Survey - ScienceBase
SDC Data Owner :
Upper Midwest Environmental Sciences Center
USGS Mission Area :
Ecosystems

Attached Files

Click on title to download individual files attached to this item.

metadata TDA.xml
Original FGDC Metadata
View 		80.38 KB application/fgdc+xml
Analysis codes.zip 3.57 MB application/zip
Data sets.zip 15.21 MB application/zip
LICENSE_and_DATA DISCLAIMER.txt 2.18 KB text/plain
README.txt 4.51 KB text/plain

Purpose

The data were collected under the Upper Mississippi River Restoration Program, with the intend of characterizing the status and trends of the Upper Mississippi River, USA.

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Communities

  • USGS Data Release Products
  • Upper Midwest Environmental Sciences Center (UMESC)

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Additional Information

Identifiers

Type Scheme Key
DOI https://www.sciencebase.gov/vocab/category/item/identifier doi:10.5066/P976O6PP

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