<?xml version="1.0" encoding="UTF-8"?><metadata xml:lang="en">
<Esri>
<CreaDate>20230515</CreaDate>
<CreaTime>17434900</CreaTime>
<ArcGISFormat>1.0</ArcGISFormat>
<SyncOnce>FALSE</SyncOnce>
<DataProperties>
<itemProps>
<itemName Sync="TRUE">MRCI_4S26ONDGNDMR1Swc_20092019mrcsp23</itemName>
<nativeExtBox>
<westBL Sync="TRUE">944815.371843</westBL>
<eastBL Sync="TRUE">1813095.156755</eastBL>
<southBL Sync="TRUE">-162894.053098</southBL>
<northBL Sync="TRUE">212299.142558</northBL>
<exTypeCode Sync="TRUE">1</exTypeCode>
</nativeExtBox>
<itemSize Sync="TRUE">0.004</itemSize>
<imsContentType Sync="TRUE">002</imsContentType>
</itemProps>
<coordRef>
<type Sync="TRUE">Projected</type>
<geogcsn Sync="TRUE">GCS_North_American_1983</geogcsn>
<csUnits Sync="TRUE">Linear Unit: Foot_US (0.304801)</csUnits>
<peXml Sync="TRUE">&lt;ProjectedCoordinateSystem xsi:type='typens:ProjectedCoordinateSystem' xmlns:xsi='http://www.w3.org/2001/XMLSchema-instance' xmlns:xs='http://www.w3.org/2001/XMLSchema' xmlns:typens='http://www.esri.com/schemas/ArcGIS/10.7'&gt;&lt;WKT&gt;PROJCS[&amp;quot;MRCI_North_American_Albers_Equal_Area&amp;quot;,GEOGCS[&amp;quot;GCS_North_American_1983&amp;quot;,DATUM[&amp;quot;D_North_American_1983&amp;quot;,SPHEROID[&amp;quot;GRS_1980&amp;quot;,6378137.0,298.257222101]],PRIMEM[&amp;quot;Greenwich&amp;quot;,0.0],UNIT[&amp;quot;Degree&amp;quot;,0.0174532925199433]],PROJECTION[&amp;quot;Albers&amp;quot;],PARAMETER[&amp;quot;False_Easting&amp;quot;,0.0],PARAMETER[&amp;quot;False_Northing&amp;quot;,0.0],PARAMETER[&amp;quot;Central_Meridian&amp;quot;,-82.0],PARAMETER[&amp;quot;Standard_Parallel_1&amp;quot;,38.0748169],PARAMETER[&amp;quot;Standard_Parallel_2&amp;quot;,46.9603261],PARAMETER[&amp;quot;Latitude_Of_Origin&amp;quot;,42.5175715],UNIT[&amp;quot;Foot_US&amp;quot;,0.3048006096012192]]&lt;/WKT&gt;&lt;XOrigin&gt;-51899700&lt;/XOrigin&gt;&lt;YOrigin&gt;-29042800&lt;/YOrigin&gt;&lt;XYScale&gt;86775060.884176493&lt;/XYScale&gt;&lt;ZOrigin&gt;-100000&lt;/ZOrigin&gt;&lt;ZScale&gt;10000&lt;/ZScale&gt;&lt;MOrigin&gt;-100000&lt;/MOrigin&gt;&lt;MScale&gt;10000&lt;/MScale&gt;&lt;XYTolerance&gt;0.0032808333333333331&lt;/XYTolerance&gt;&lt;ZTolerance&gt;0.001&lt;/ZTolerance&gt;&lt;MTolerance&gt;0.001&lt;/MTolerance&gt;&lt;HighPrecision&gt;true&lt;/HighPrecision&gt;&lt;/ProjectedCoordinateSystem&gt;</peXml>
<projcsn Sync="TRUE">MRCI_North_American_Albers_Equal_Area</projcsn>
</coordRef>
</DataProperties>
<SyncDate>20230817</SyncDate>
<SyncTime>12555800</SyncTime>
<ModDate>20230817</ModDate>
<ModTime>12562200</ModTime>
<ArcGISstyle>Item Description</ArcGISstyle>
<scaleRange>
<minScale>9244649</minScale>
<maxScale>18056</maxScale>
</scaleRange>
<ArcGISProfile>ItemDescription</ArcGISProfile>
</Esri>
<eainfo>
<detailed Name="MRCI_4S26ONDGNDMR1Swc_20092019mrcsp23">
<enttyp>
<enttypl Sync="TRUE">MRCI_4S26ONDGNDMR1Swc_20092019mrcsp23</enttypl>
<enttypt Sync="TRUE">Feature Class</enttypt>
<enttypc Sync="TRUE">150</enttypc>
</enttyp>
<attr>
<attrlabl Sync="TRUE">FID</attrlabl>
<attalias Sync="TRUE">FID</attalias>
<attrtype Sync="TRUE">OID</attrtype>
<attwidth Sync="TRUE">4</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
<attrdef Sync="TRUE">Internal feature number.</attrdef>
<attrdefs Sync="TRUE">Esri</attrdefs>
<attrdomv>
<udom Sync="TRUE">Sequential unique whole numbers that are automatically generated.</udom>
</attrdomv>
</attr>
<attr>
<attrlabl Sync="TRUE">Shape</attrlabl>
<attalias Sync="TRUE">Shape</attalias>
<attrtype Sync="TRUE">Geometry</attrtype>
<attwidth Sync="TRUE">0</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
<attrdef Sync="TRUE">Feature geometry.</attrdef>
<attrdefs Sync="TRUE">Esri</attrdefs>
<attrdomv>
<udom Sync="TRUE">Coordinates defining the features.</udom>
</attrdomv>
</attr>
<attr>
<attrlabl Sync="TRUE">ID</attrlabl>
<attalias Sync="TRUE">ID</attalias>
<attrtype Sync="TRUE">Double</attrtype>
<attwidth Sync="TRUE">19</attwidth>
<atprecis Sync="TRUE">18</atprecis>
<attscale Sync="TRUE">5</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">UWI_API</attrlabl>
<attalias Sync="TRUE">UWI_API</attalias>
<attrtype Sync="TRUE">Double</attrtype>
<attwidth Sync="TRUE">19</attwidth>
<atprecis Sync="TRUE">18</atprecis>
<attscale Sync="TRUE">5</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">SURFLAT</attrlabl>
<attalias Sync="TRUE">SURFLAT</attalias>
<attrtype Sync="TRUE">Double</attrtype>
<attwidth Sync="TRUE">19</attwidth>
<atprecis Sync="TRUE">18</atprecis>
<attscale Sync="TRUE">5</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">SURFLON</attrlabl>
<attalias Sync="TRUE">SURFLON</attalias>
<attrtype Sync="TRUE">Double</attrtype>
<attwidth Sync="TRUE">19</attwidth>
<atprecis Sync="TRUE">18</atprecis>
<attscale Sync="TRUE">5</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">COUNTY</attrlabl>
<attalias Sync="TRUE">COUNTY</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">254</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">LABEL</attrlabl>
<attalias Sync="TRUE">LABEL</attalias>
<attrtype Sync="TRUE">String</attrtype>
<attwidth Sync="TRUE">254</attwidth>
<atprecis Sync="TRUE">0</atprecis>
<attscale Sync="TRUE">0</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">DATUM</attrlabl>
<attalias Sync="TRUE">DATUM</attalias>
<attrtype Sync="TRUE">Double</attrtype>
<attwidth Sync="TRUE">19</attwidth>
<atprecis Sync="TRUE">18</atprecis>
<attscale Sync="TRUE">5</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">ONONDAGA_A</attrlabl>
<attalias Sync="TRUE">ONONDAGA_A</attalias>
<attrtype Sync="TRUE">Double</attrtype>
<attwidth Sync="TRUE">19</attwidth>
<atprecis Sync="TRUE">18</atprecis>
<attscale Sync="TRUE">5</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">ONON_NEED_</attrlabl>
<attalias Sync="TRUE">ONON_NEED_</attalias>
<attrtype Sync="TRUE">Double</attrtype>
<attwidth Sync="TRUE">19</attwidth>
<atprecis Sync="TRUE">18</atprecis>
<attscale Sync="TRUE">5</attscale>
</attr>
<attr>
<attrlabl Sync="TRUE">O_N_ISOPAC</attrlabl>
<attalias Sync="TRUE">O_N_ISOPAC</attalias>
<attrtype Sync="TRUE">Double</attrtype>
<attwidth Sync="TRUE">19</attwidth>
<atprecis Sync="TRUE">18</atprecis>
<attscale Sync="TRUE">5</attscale>
</attr>
</detailed>
</eainfo>
<mdHrLv>
<ScopeCd value="005">
</ScopeCd>
</mdHrLv>
<dataIdInfo>
<idPurp>The main purpose of this dataset is to provide regional-scale guidance for the Onondaga Limestone which may be suitable for deep geologic sequestration. This data should not be used as a substitute for detailed site investigations. This project was funded by the U.S. Department of Energy DE-FE0031836.</idPurp>
<idAbs>&lt;DIV STYLE="text-align:Left;"&gt;&lt;DIV&gt;&lt;DIV&gt;&lt;P&gt;&lt;SPAN&gt;This dataset contains the oil and gas well locations and stratigraphic tops and thickness information used to create the subsurface elevation map for the Onondaga Limestone and thickness map for the Onondaga Limestone to the top of the laterally equivalent Needmore Shale.&lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;&lt;SPAN&gt;Author/Originator: Battelle Memorial Institute&lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;&lt;SPAN&gt;Date Created: 2021&lt;/SPAN&gt;&lt;/P&gt;&lt;/DIV&gt;&lt;/DIV&gt;&lt;/DIV&gt;</idAbs>
<idCredit>Battelle Memorial Institute, 2021
Midwest Regional Carbon Initiative
Midwest Regional Carbon Sequestration Partnership-Phase 2/3, 2009/2019</idCredit>
<idCitation>
<resTitle Sync="FALSE">Oil and gas well data point locations and stratigraphic tops used to create the elevation and thickness maps of the Onondaga Limestone in New York</resTitle>
<presForm>
<PresFormCd Sync="TRUE" value="005">
</PresFormCd>
</presForm>
</idCitation>
<searchKeys>
<keyword>CCUS</keyword>
<keyword>MRCI</keyword>
<keyword>Well Locations</keyword>
<keyword>Onondaga Limestone</keyword>
<keyword>Middle Devonian</keyword>
<keyword>Devonian Lower-Middle Subsystem</keyword>
<keyword>Silurian-Mississippian Carbon System</keyword>
<keyword>New York</keyword>
</searchKeys>
<resConst>
<Consts>
<useLimit>&lt;DIV STYLE="text-align:Left;"&gt;&lt;DIV&gt;&lt;DIV&gt;&lt;P STYLE="margin:0 0 11 0;"&gt;&lt;SPAN&gt;&lt;SPAN&gt;This product of the Midwest Regional Carbon Initiative (MRCI) is intended to provide general geologic information only and should not be used for any other purpose. It is not intended for resale or to replace site-specific investigations. These data were compiled by MRCI, which reserves the publication rights to this material. If these data are used in the compilation of other data sets or maps for distribution or publication, this source must be referenced.&lt;/SPAN&gt;&lt;/SPAN&gt;&lt;/P&gt;&lt;P STYLE="margin:0 0 11 0;"&gt;&lt;SPAN&gt;&lt;SPAN&gt;The information contained herein may be updated or edited in the future. Future releases of this material, if altered, will display a revision date. Users should check to ensure they have the latest version and reference the appropriate revision date if it is being used in other works. &lt;/SPAN&gt;&lt;/SPAN&gt;&lt;/P&gt;&lt;P STYLE="margin:0 0 11 0;"&gt;&lt;SPAN&gt;This material was prepared as an account of work sponsored by an agency of the United States Government. Neither the United States Government, nor any agency thereof, nor any of their employees, nor Battelle, nor any member of the MRCI makes any warranty, express or implied, or assumes any liability or responsibility for the accuracy, completeness, or usefulness of any information, apparatus, product, or process disclosed, or represents that its use would not infringe privately owned rights. Reference herein to any specific commercial product, process, or service by trade name, trademark, manufacturer, or otherwise does not necessarily constitute or imply its endorsement, recommendations, or favoring by Battelle, members of the MRCI, the United States Government or any agency thereof. The views and the opinions of authors expressed herein do not necessarily state or reflect those of the members of the MRCI, the United States Government or any agency thereof.&lt;/SPAN&gt;&lt;/P&gt;&lt;/DIV&gt;&lt;/DIV&gt;&lt;/DIV&gt;</useLimit>
</Consts>
</resConst>
<envirDesc Sync="TRUE"> Version 6.2 (Build 9200) ; Esri ArcGIS 10.7.0.10450</envirDesc>
<dataLang>
<languageCode Sync="TRUE" value="eng">
</languageCode>
<countryCode Sync="TRUE" value="USA">
</countryCode>
</dataLang>
<spatRpType>
<SpatRepTypCd Sync="TRUE" value="001">
</SpatRepTypCd>
</spatRpType>
<dataExt>
<geoEle>
<GeoBndBox esriExtentType="search">
<exTypeCode Sync="TRUE">1</exTypeCode>
<westBL Sync="TRUE">-78.511887</westBL>
<eastBL Sync="TRUE">-75.206100</eastBL>
<northBL Sync="TRUE">43.044433</northBL>
<southBL Sync="TRUE">41.876854</southBL>
</GeoBndBox>
</geoEle>
</dataExt>
</dataIdInfo>
<mdLang>
<languageCode Sync="TRUE" value="eng">
</languageCode>
<countryCode Sync="TRUE" value="USA">
</countryCode>
</mdLang>
<distInfo>
<distFormat>
<formatName Sync="TRUE">Shapefile</formatName>
</distFormat>
<distTranOps>
<transSize Sync="TRUE">0.004</transSize>
</distTranOps>
</distInfo>
<mdHrLvName Sync="TRUE">dataset</mdHrLvName>
<refSysInfo>
<RefSystem>
<refSysID>
<identCode Sync="TRUE" code="0">
</identCode>
</refSysID>
</RefSystem>
</refSysInfo>
<spatRepInfo>
<VectSpatRep>
<geometObjs Name="MRCI_4S26ONDGNDMR1Swc_20092019mrcsp23">
<geoObjTyp>
<GeoObjTypCd Sync="TRUE" value="004">
</GeoObjTypCd>
</geoObjTyp>
<geoObjCnt Sync="TRUE">150</geoObjCnt>
</geometObjs>
<topLvl>
<TopoLevCd Sync="TRUE" value="001">
</TopoLevCd>
</topLvl>
</VectSpatRep>
</spatRepInfo>
<spdoinfo>
<ptvctinf>
<esriterm Name="MRCI_4S26ONDGNDMR1Swc_20092019mrcsp23">
<efeatyp Sync="TRUE">Simple</efeatyp>
<efeageom Sync="TRUE" code="1">
</efeageom>
<esritopo Sync="TRUE">FALSE</esritopo>
<efeacnt Sync="TRUE">150</efeacnt>
<spindex Sync="TRUE">TRUE</spindex>
<linrefer Sync="TRUE">FALSE</linrefer>
</esriterm>
</ptvctinf>
</spdoinfo>
<mdDateSt Sync="TRUE">20230817</mdDateSt>
<mdChar>
<CharSetCd Sync="TRUE" value="004">
</CharSetCd>
</mdChar>
<Binary>
<Thumbnail>
<Data EsriPropertyType="PictureX">/9j/4AAQSkZJRgABAQEASABIAAD/2wBDAAMCAgMCAgMDAwMEAwMEBQgFBQQEBQoHBwYIDAoMDAsK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</Data>
</Thumbnail>
</Binary>
</metadata>
