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Title: Oklahoma structural complexity data

Abstract

Zipped file contains raster data (TIF) files and thumbnail image (PNG) files associated with modeling known and predicting structural complexity (SC) for the state of Oklahoma, two SIMPA simulation files (.SIJN) and two README (.txt) files to run both the known SC and proxy SC models using the SIMPA tool, and a "Source data catalog.xlsx" file that provides information on the source data and how it was used to represent each raster Note: Metadata including processing steps can be viewed in ESRI's ArcCatalog software

Authors:
Publication Date:
Other Number(s):
5f61874c-20da-4e39-afd0-101e0fc4c968
DOE Contract Number:  
1022403
Research Org.:
National Energy Technology Laboratory (NETL), Pittsburgh, PA, Morgantown, WV, and Albany, OR (United States). Energy Data eXchange; National Energy Technology Laboratory (NETL), Pittsburgh, PA, Morgantown, WV (United States)
Sponsoring Org.:
USDOE Office of Fossil Energy (FE)
Keywords:
SIMPA; raster; structural complexity
OSTI Identifier:
1503707
DOI:
https://doi.org/10.18141/1503707

Citation Formats

Justman, Devin. Oklahoma structural complexity data. United States: N. p., 2019. Web. doi:10.18141/1503707.
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Justman, Devin. Oklahoma structural complexity data. United States. doi:https://doi.org/10.18141/1503707
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Justman, Devin. 2019. "Oklahoma structural complexity data". United States. doi:https://doi.org/10.18141/1503707. https://www.osti.gov/servlets/purl/1503707. Pub date:Thu Mar 28 00:00:00 EDT 2019
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@article{osti_1503707,
title = {Oklahoma structural complexity data},
author = {Justman, Devin},
abstractNote = {Zipped file contains raster data (TIF) files and thumbnail image (PNG) files associated with modeling known and predicting structural complexity (SC) for the state of Oklahoma, two SIMPA simulation files (.SIJN) and two README (.txt) files to run both the known SC and proxy SC models using the SIMPA tool, and a "Source data catalog.xlsx" file that provides information on the source data and how it was used to represent each raster Note: Metadata including processing steps can be viewed in ESRI's ArcCatalog software},
doi = {10.18141/1503707},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Thu Mar 28 00:00:00 EDT 2019},
month = {Thu Mar 28 00:00:00 EDT 2019}
}
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Dataset:
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DOI: https://doi.org/10.18141/1503707
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