<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<metadata xml:lang="en">
<Esri>
<CreaDate>20250723</CreaDate>
<CreaTime>09492400</CreaTime>
<ArcGISFormat>1.0</ArcGISFormat>
<SyncOnce>TRUE</SyncOnce>
</Esri>
<dataIdInfo>
<idAbs>Faults mapped using LiDAR in the vicinity of Baton Rouge and Scotlandville, LA, Figure 7. Faults mapped on LiDAR in southwest Louisiana are available in the full manuscript.
Outline of study areas with faults mapped using LiDAR in the vicinity of Baton Rouge and Scotlandville, LA, Figure 7. Faults mapped on LiDAR in southwest Louisiana are available in the full manuscript
</idAbs>
<searchKeys>
<keyword>LTRC</keyword>
<keyword>Active Faults</keyword>
<keyword>South Louisiana</keyword>
<keyword>Neotectonics</keyword>
<keyword>Seismic</keyword>
</searchKeys>
<idPurp>Southeast Louisiana faults spatially located as research results from LTRC project 18-3GT and Tran-SET Project No. 17GTLSU12.</idPurp>
<idCredit>McCulloh, R.P. and P.V. Heinrich (2012). “Surface faults of the south Louisiana growth-fault province”. In Recent Advances in North American Paleoseismology and Neotectonics east of the Rockies and Use of the Data in Risk Assessment and Policy, Geological Society of America Special Paper, No. 493, pp. 37-49, doi:10.1130/2012.2493(03).</idCredit>
<resConst>
<Consts>
<useLimit/>
</Consts>
</resConst>
<idCitation>
<resTitle>Baton_Rouge_McCullogh_Heinrich_2012_Publish.mxd</resTitle>
</idCitation>
</dataIdInfo>
<Binary>
<Thumbnail>
<Data EsriPropertyType="PictureX">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</Data>
</Thumbnail>
</Binary>
</metadata>
