U.S. Department of the Interior, Bureau of Land Management (BLM) 20211101 Bureau of Land Management Salt Lake City, UT https://navigator.blm.gov vector digital data This data is one feature type pertaining to geothermal energy development in BLM's LR2000 database, which uses BLM's geospatial GCDB database as a geographic reference. The GCDB database contains continually updated information collected by BLM's Cadastral surveyors. Geothermal Leases do not equal development, but in most cases drilling applications are approved for lessees. No permit is needed for geothermal exploration, as this does not cause disturbance. When the public nominates BLM Utah land for energy development, BLM UT conducts a NEPA (National Environmental Planning Act) review of nominated lands (See records: https://eplanning.blm.gov/eplanning-ui/home). If parcels are marked available for lease, they enter a competitive lease sale. If sold, BLM issues a 10yr geothermal lease with the opportunity to renew when diligent exploration and development occur. To develop, the lease holder submits an application to drill with proof of bond. This triggers a site-specific NEPA review and drilling is typically approved, as a broader NEPA review was done prior to leasing. Then development and production ensue (See Utah State DNR for data on wells and production on BLM Utah lands). To identify geothermal leases and provide the public with updated graphical and attribute information regarding the geothermal leases and lease holders. Description of the Error Spreadsheet: BLM uses a Python script to automatically generate polygon shapefiles from legal land descriptions contained in LR2000 records. The script does this by looking for a polygon in BLM's GCDB database to match the LR2000 land description and then cloning or subdividing the polygon in the new shapefile. The error spreadsheet that accompanies the downloadable data contains LR2000 records which the script wasn't able to match to GCDB polygons. This typically occurs for one of two reasons. Either the LR2000 record didn't contain a valid legal land description, or the script wasn't able to find a unique polygon in the reference GCDB database to match the legal land description provided in LR2000.A published revision of the Department Manuals Part 305: Departmental Science Effects, Chapter 3: Integrity of Scientific and Scholarly Activities (305 DM 3), effective December 16, 2014, is available online at http://elips.doi.gov/ELIPS/DocView.aspx?id=4056. Scholarly information considered in Departmental decision making must be robust, of the highest quality, and the result of as rigorous scientific and scholarly processes as can be achieved. Most importantly, it must be trustworthy. This policy helps us to achieve that standard (http://www.doi.gov/scientificintegrity/index.cfm) 20211101 ground condition Complete None Planned -114.1136 -108.95 42.078 36.9106 ISO 19115 Topic Category planningCadastre environment geoscientificInformation utilitiesCommunication BLM-THEME Energy Geospatial BLM-STATE Utah UT None permit Department of the Interior lease DOI Public Land Survey System fluid minerals Bureau of Land Management geothermal land grid township BLM range PLSS utilitiesCommunication Geospatial Energy None, these data are considered public domain. These data are provided by Bureau of Land Management (BLM) "as is" and might contain errors or omissions. The User assumes the entire risk associated with its use of these data and bears all responsibility in determining whether these data are fit for the User's intended use. The information contained in these data is dynamic and may change over time. The data are not better than the sources from which they were derived, and both scale and accuracy may vary across the data set. These data might not have the accuracy, resolution, completeness, timeliness, or other characteristics appropriate for applications that potential users of the data may contemplate. The User is encouraged to carefully consider the content of the metadata file associated with these data. These data are neither legal documents nor land surveys, and must not be used as such. Official records may be referenced at most BLM offices. Please report any errors in the data to the BLM office from which it was obtained. The BLM should be cited as the data source in any products derived from these data. Any Users wishing to modify the data should describe the types of modifications they have performed. The User should not misrepresent the data, nor imply that changes made were approved or endorsed by BLM. This data may be updated by the BLM without notification. Leslie Wilcken Bureau of Land Management (BLM), Utah State Office Land Law Examiner mailing and physical address

440 West 200 South, Suite 500

Salt Lake City UT 84101-1345 USA (801) 539-4112 lwilcken@blm.gov Bureau of Land Management (BLM), Utah State Office Unclassified U.S. Department of Interior, Bureau of Land Management (BLM) 20210610 Authorized leases are identified using a dump of the BLM LR2000 database. Please contact the specific state office Point of Contact for additional information on the provenance, history, logical consistency, accuracy and quality of their data. The logical consistency of this dataset reflects that of the source database. The logical consistency of this dataset reflects that of the source database. The logical consistency of this dataset reflects that of the source database. U.S Bureau of Land Management None The accuracy and precision of the landgrid determines the spatial accuracy and precision of the final location of the geometry in the GIS layer For each shapefile, a list of appropriate case types is fed into a Python script that executes an SQL query against BLM's LR2000 database to extract all authorized and pending case records for those case types. These records contain case attributes as well as legal land descriptions for each parcel of land involved in the individual cases. Each set of extracted LR2000 records is then fed into a second Python script that creates shapefiles by matching LR2000 land descriptions against features in the GCDB database. When a direct match is found, the corresponding polygon in GCDB is used as a template to create a new feature in the output shapefile. If no direct match is found in GCDB, the script will attempt to create a polygon by subdividing a larger feature it could find in GCDB. If this also fails, a note is made to a log file listing all such failures. Each of the shapefiles generated in previous step is checked for geometry errors and repaired if necessary. The shapefiles are then dissolved on case-level attributes and projected to the NAD83/UTM13N coordinate system. A comma-delimited error file is generated for each shapefile that had errors. 20210603 Leslie Wilcken Bureau of Land Management (BLM), Utah State Office Land Law Examiner mailing and physical address

440 West 200 South, Suite 500

Salt Lake City UT 84101-1345 USA (801) 539-4112 lwilcken@blm.gov Vector Simple FALSE 57 TRUE FALSE D North American 1983 GRS 1980 6378137.0 298.257222101 BLM_UT_GEOTHERMAL_LEASES Geothermal energy development leases issued on BLM Utah lands Bureau of Land Management Feature Class 57 OBJECTID Internal feature number Esri Sequential unique whole numbers that are automatically generated. CASE_TYPE Case type (integer) BLM LR2000 CASE_DISP Case disposition code indicating active, closed, or pending status BLM LR2000 COMMODITY Code for commodity extracted BLM LR2000 LESSEE Lease Holder (test) BLM LR2000 HELD_BY Name of lessee contact information BLM LR2000 EFF_DATE Date lease becomes legal (1994-12-01) BLM LR2000 EXP_DATE Lease expiration date (1994-12-01) BLM LR2000 ACRES_REPORTED Lease acres reported BLM LR2000 ROYALTY_RT Rate lessee pays on production to ONRR (DOI Office of Natural Resources Revenue) BLM LR2000 SERIAL_NO BLM Case Number assigned to lease BLM LR2000 GIS_ACRES System calculated value of the polygon representing a parcel ESRI BLM_SaleID BLM code for lease sale BLM LR2000 SALE_USO State, month and year of sale BLM LR2000 Parcel_LSS Unique number for the parcel that is system generated BLM LR2000 Parcel_USO Unique number assigned to each parcel and referenced in NEPA BLM LR2000 EA_Number NEPA number associated with parcel BLM LR2000 EA_URL Hyperlink to ePlanning Public Database Record for NEPA report. BLM LR2000 Shape Geometry type ESRI GlobalID GlobalID GlobalID 38 0 0 Shape.area Shape.area Double 0 0 0 Shape.len Shape.len Double 0 0 0 See individual attribute information Heather Fara Bureau of Land Management (BLM), Utah State Office State Data Administrator mailing and physical address

440 West 200 South, Suite 500

Salt Lake City UT 84101-1345 USA hfara@blm.gov Downloadable Data The BLM assumes no responsibility for errors or omissions. No warranty is made by the BLM as to the accuracy, reliability, or completeness of these data for individual use or aggregate use with other data; nor shall the act of distribution to contractors, partners, or beyond, constitute any such warranty for individual or aggregate data use with other data. Although these data have been processed successfully on computers of BLM, no warranty, expressed or implied, is made by BLM regarding the use of these data on any other system, or for general or scientific purposes, nor does the fact of distribution constitute or imply any such warranty. In no event shall the BLM have any liability whatsoever for payment of any consequential, incidental, indirect, special, or tort damages of any kind, including, but not limited to, any loss of profits arising out of the use or reliance on the geographic data or arising out of the delivery, installation, operation, or support by BLM. FGDB 20211101 20211101 20211101 Heather Fara Bureau of Land Management (BLM), Utah State Office State Data Administrator mailing and physical address

440 West 200 South, Suite 500

Salt Lake City UT 84101-1345 USA hfara@blm.gov FGDC Content Standard for Digital Geospatial Metadata FGDC-STD-001-1998 local time 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20220622 03394800 20220622 03394800 20230626 11003000 1.0 TRUE Feature Class dataset EPSG 6.13(3.0.1) 57 20220622