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Towards reproducible environmental modeling for decision support: a worked example

Metadata Updated: July 6, 2024

Supporting datasets for the associated journal publication "Towards reproducible environmental modeling for decision support: a worked example". Includes source codes for the version of PEST++ and MODFLOW-2005 used, the pyEMU and FloPy python modules and the driver script "eaa.py". Also included are the existing MODFLOW-2005 models supplied the Edwards Aquifer Authority

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/70c6a8560a446d3d1a1f7c7e2672bcf3
Identifier USGS:5e2a0116e4b0a79317cf80aa
Data Last Modified 20200827
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 301d6047-1922-4ee2-84c8-d23520b9a1ea
Harvest Source Id 52bfcc16-6e15-478f-809a-b1bc76f1aeda
Harvest Source Title DOI EDI
Metadata Type geospatial
Old Spatial -100.22277832025,29.01736541052,-97.201538085988,30.296640109026
Publisher Hierarchy White House > U.S. Department of the Interior > U.S. Geological Survey
Source Datajson Identifier True
Source Hash b7fe33c533482141c5eaf303bd8c86c4c60d41a4f78087d7b47f5926af233220
Source Schema Version 1.1
Spatial {"type": "Polygon", "coordinates": -100.22277832025, 29.01736541052, -100.22277832025, 30.296640109026, -97.201538085988, 30.296640109026, -97.201538085988, 29.01736541052, -100.22277832025, 29.01736541052}

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