U.S. Department of Interior, Bureau of Land Management (BLM) vector digital data This is an aggregate national dataset. Source data were received from all or some of the BLM state offices of Alaska, Arizona, California, Colorado, Eastern States, Idaho, Montana, Nevada, New Mexico, Oregon/Washington, Utah, and Wyoming. 9/9/9999 https://blmspace.blm.doi.net/oc/intra/drs/SitePages/BLM%20National%20Landscape%20Conservation%20System%20(NLCS).aspx This polyline feature class represents the segments designated as BLM National Landscape Conservation System (NLCS) Wild and Scenic Rivers. The attributes for this feature class serve to store the feature level metadata information for the polylines, as well as document the origin and characteristics of each polyline. Lines will be segmented when any of the attributes change (e.g. when the classification changes) or to capture changes in Outstandingly Remarkable Value (ORV). Every segment must have at least one record in the related table, nlcs_wsr_orv_tbl.This state dataset may have published a dataset that is more current than the National dataset; there may be geometry variations between the state and national dataset which may have different results.The national dataset is updated following the data standard schedule. This polyline feature class represents the segments designated as BLM National Landscape Conservation System (NLCS) Wild and Scenic Rivers. The feature class is related to the nlcs_wsr_orv_tbl (table) through the nlcs_wsr_orv_rel (relationship class). The Wild and Scenic River feature class includes selected rivers in the United States preserved for possessing outstandingly, remarkable scenic, recreational, geologic, fish and wildlife, historic, cultural, or other similar values. Rivers, or sections of rivers, so designated are preserved in their free-flowing condition and are not dammed or otherwise improved. A published revision of the Department Manual’s 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). Each state office has a Data Steward or Contact Person for this data. Please contact the specific state office for additional information on their state dataset. In work As needed BLM-STATE Oregon Montana Utah Nevada Wyoming Arizona California Idaho Alaska New Mexico Colorado Western States Eastern States United States None Geospatial Public Lands Management Withdrawal Bureau of Land Management Wilderness Jurisdiction BLM Hydrology Wilderness Vegetation Wildlife Management Geology Withdrawal Recreation These are data made available to the public and are considered public domain. These data contain no sensitive information which would be prevented from disclosure by Freedom of Information Act (FOIA), the Privacy Act or other laws. These data are provided by BLM "as is" and may 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 original sources from which they were derived, and both scale and accuracy may vary across the data set. These data may 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 for 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 information may be updated without notification. National Data Steward physical address

20 M Street SE

Washington DC 20003-3503 United States (202)912-7299 icohen@blm.gov National Data Steward Bureau of Land Management, WO410 (202)245-0050 -124.353993 -104.600426 48.717414 32.631825 9/9/9999 publication date BLM California Unclassified Esri ArcGIS 10.1.1.3143 This national dataset is an aggregation from multiple datasets provided by the BLM Administrative States, please contact the distributor for additional information on provenance, history, accuracy and quality of the data. The logical consistency of this dataset reflects that of the source datasets. Each source dataset is run through a series of tests to verify that the data complies with the format specified in the Data Standard. ERRORS AND INCONSISTENCIES MAY STILL BE PRESENT IN THE DATA. These tests were conducted using ESRI ArcMap 10.1. The tests consisted of checking coded values for attributes against a domain of accepted values, checking that alpha-numeric values followed a valid format, and checking that numeric values were greater than zero. For the geometry, the topology was validated; however overlaps and gaps can still be found. This national dataset is an aggregation from multiple datasets provided by the BLM Administrative States, please contact the distributor for additional information on provenance, history, accuracy and quality of the data. The completeness of this dataset reflects that of the source datasets. Using the implementation guidelines, GIS staff at BLM field and state offices cross-walk and clean up their data to comply with the standardized national dataset. Then, the BLM field and/or state offices submit the data to the National Operations Center (NOC), where it is compiled to produce seamless national datasets. This process of data replication to the National Operations Center is intended to occur on a monthly basis. Spatial Data Coordinator physical address

Bldg. 50, Denver Federal Center

Denver CO 80225 United States (303)236-5445 Spatial Data Coordinator BLM National Operations Center (303)236-3508 scrowe@blm.gov 9/9/9999 U.S. Department of Interior, Bureau of Land Management (BLM) 20141205 Release 1-1762 http://web.blm.gov/internal/wo-500/directives/dir-hdbk/h1283-2.pdf online 12/5/2014 publication date This official BLM Data Management handbook contains information about how data is administered, managed, and tracked. This handbook discusses how the BLM operates with regard to data development and design, quality, metadata, and business rules. The information this resource contains also pertains to geospatial data. This national dataset is an aggregation from multiple datasets provided by the BLM Administrative States, please contact the distributor for additional information on provenance, history, accuracy and quality of the data. The accuracy of attributes in this dataset reflects that of the source datasets. Attribute accuracy was tested by validating attribute coded values against accepted domain values, checking that alpha-numeric values followed a valid format, and checking that numeric values were greater than zero. This national dataset is an aggregation from multiple datasets provided by the BLM Administrative States, please contact the distributor for additional information on provenance, history, accuracy and quality of the data. The positional accuracy across this dataset varies according to the source. Vector Simple FALSE 429 TRUE FALSE nlcs_wsr_ln BLM NLCS Wild and Scenic River Lines National Landscape Conservation System (NLCS) Implementation Guidelines Feature Class 429 OBJECTID Internal feature number. Esri Sequential unique whole numbers that are automatically generated. OBJECTID OID 4 10 0 SHAPE Feature geometry. Esri Coordinates defining the features. SHAPE Geometry 4 0 0 NLCS_ID The designed primary key that will uniquely identify a single occurrence of the entity. The primary key for NLCS will be 10 digits. The first four will be “NLCS” and the last six digits will be a sequential number. National Landscape Conservation System (NLCS) Implementation Guidelines NLCS Unique Identifiers String 10 0 0 WSR_CTGY The name that indicates the suitability status of the wild and scenic river conservation classification. A name that indicates one of the river classifications as defined in the Wild and Scenic Rivers Act of 1968. National Landscape Conservation System (NLCS) Implementation Guidelines NLCS_DOM_WSR_CTGY National Landscape Conservation System (NLCS) Implementation Guidelines Category String 25 0 0 NLCS_NAME The official name of the Wild and Scenic River. The name of a nationally significant designated area with scientific, cultural, educational, ecological and other values. National Landscape Conservation System (NLCS) Implementation Guidelines NLCS Name String 100 0 0 CASEFILE_NO The serialized case number for each NLCS area. The number that refers to the serialized case file number of the group of official documents that record the facts, or actions taken, on a specific application, such as an oil and gas lease, exchange, airport lease, easement acquisition, etc. A case file sets aside the land as an NLCS, withdraws the area from certain uses, and registers this withdrawal on the Master Title Plats. National Landscape Conservation System (NLCS) Implementation Guidelines Casefile Number String 17 0 0 NHD_RCH_CD The designed primary key that will uniquely identify a single occurrence of the entity. The code is comprised of two parts: The first 8 are the hydrologic unit code for the sub basin in which the reach exists; the last 6 digits are assigned in sequential order, arbitrarily among reaches. While this is a mandatory attribute, a value of UNK is allowed. This field is for future use as new data is compiled from NHD data. National Landscape Conservation System (NLCS) Implementation Guidelines National Hydrography Dataset Reach Code String 14 0 0 ADMIN_ST An alphabetic abbreviation that represents each of the 50 states of the United States, the District of Columbia, the outlying areas of the United States, and associated areas. FIPS PUB 5-2 National Landscape Conservation System (NLCS) Implementation Guidelines DOM_ADMIN_ST National Landscape Conservation System (NLCS) Implementation Guidelines Administrative State Code String 2 0 0 CREATE_BY Created By Name String 30 0 0 CASO CASO CREATE_DATE The date which is the calendar year, month, and day when the position of the Location was produced. National Landscape Conservation System (NLCS) Implementation Guidelines Created Date Date 8 0 0 MODIFY_BY Modified By Name String 30 0 0 CASO CASO MODIFY_DATE The date which is the calendar year, month, and day when the position of the Location was last modified. National Landscape Conservation System (NLCS) Implementation Guidelines Modified Date Date 8 0 0 COORD_SRC_TYPE The name that identifies the general category for the origin of the location coordinate, representing a compilation of the state adopted source codes. The domain contains those values that would most likely be used in the determination of source codes for the data set. National Landscape Conservation System (NLCS) Implementation Guidelines DOM_COORD_SOURCE_TYPE National Landscape Conservation System (NLCS) Implementation Guidelines Coordinate Source Type Code String 5 0 0 COORD_SRC2 The name that identifies a more specific description of the location (coordinate source). National Landscape Conservation System (NLCS) Implementation Guidelines Coordinate Source Code String 25 0 0 DEF_FET_TYPE The name that identifies the high-level category for the actual physical or mapping characteristics (features) from which the arcs are derived. National Landscape Conservation System (NLCS) Implementation Guidelines DOM_DEF_FEATURE_TYPE National Landscape Conservation System (NLCS) Implementation Guidelines Defining Feature Type Code String 15 0 0 DEF_FET2 The name that identifies a more specific description of the feature from which the arcs are derived to create polygon boundaries. This information further describes the physical or mapping feature that makes up the polygon boundary. National Landscape Conservation System (NLCS) Implementation Guidelines Defining Feature Code String 30 0 0 ACCURACY_FT Defines how close, in feet, the actual ground location is to the spatial depiction in GIS. A value of -1 indicates that the accuracy is unknown or that no reliable estimate can be made. National Landscape Conservation System (NLCS) Implementation Guidelines Accuracy Measurement In Feet Integer 4 10 0 WSR_SGMNT_NO The designed primary key that will uniquely identify a single occurrence of the entity. The segment number will be ten alpha-numeric characters, comprised of the two-digit BLM Administrative State, followed by eight numbers. National Landscape Conservation System (NLCS) Implementation Guidelines WSR Segment Number String 10 0 0 Tmp_Text_ca Tmp_Text_ca String 255 0 0 CASO CASO Tmp_Long_ca Tmp_Long_ca Integer 4 10 0 CASO CASO Tmp_Float_ca Tmp_Float_ca Double 8 38 8 CASO CASO Tmp_Date_ca Tmp_Date_ca Date 8 0 0 CASO CASO Comments_ca Comments_ca String 255 0 0 CASO CASO ADMIN_AGENCY_CODE_ca ADMIN_AGENCY_CODE_ca String 8 0 0 Surface Management Agency Code CASO STATUS_ca STATUS_ca String 12 0 0 CASO CASO CATEGORY_ca CATEGORY_ca String 16 0 0 CASO CASO SMA_ID SMA_ID_ca Integer 4 10 0 Surface Management Agency Code CASO FAU_ID FAU_ID Integer 4 10 0 Federal Administrative Unit ID CASO GlobalID Software generated value. A field of type UUID (Universal Unique Identifier) in which values are automatically assigned by the geodatabase when a row is created. This field is not editable and is automatically populated when it is added for existing data. This attribute is included for purposes of replication only. It is not used as a unique identifier for relationships between feature classes/tables. Esri GlobalID GlobalID 38 0 0 SHAPE.len SHAPE.len Double 0 0 0 length CASO See the National Landscape Conservation System (NLCS) Implementation Guidelines. NOC Data Management Lead physical address

Bldg 50, Denver Federal Center

Denver CO 80225 United States (303)236-6806 jcvarner@blm.gov NOC Data Management Lead BLM National Operations Center, OC530 (303)236-3508 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. National Landscape Conservation System (NLCS) Wild and Scenic River Lines 9/9/9999 20130905 NOC Data Management Lead physical address

Bldg 50, Denver Federal Center

Denver CO 80225 United States (303)236-6806 jcvarner@blm.gov NOC Data Management Lead BLM National Operations Center, OC530 (303)236-3508 FGDC Content Standard for Digital Geospatial Metadata FGDC-STD-001-1998 local time 20150303 Unclassified 20150511 16021000 1.0 FGDC CSDGM Metadata FALSE 20260918 13015600 625000 50000 nlcs_wsr_ln -369987.169700 342871.030000 -504503.044600 449234.489900 1 nlcs_wsr_orv_rel Relationship nlcs_wsr_orv_rel Relationship Projected GCS_North_American_1983 Linear Unit: Meter (1.000000) NAD_1983_California_Teale_Albers <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/10.8'><WKT>PROJCS[&quot;NAD_1983_California_Teale_Albers&quot;,GEOGCS[&quot;GCS_North_American_1983&quot;,DATUM[&quot;D_North_American_1983&quot;,SPHEROID[&quot;GRS_1980&quot;,6378137.0,298.257222101]],PRIMEM[&quot;Greenwich&quot;,0.0],UNIT[&quot;Degree&quot;,0.0174532925199433]],PROJECTION[&quot;Albers&quot;],PARAMETER[&quot;False_Easting&quot;,0.0],PARAMETER[&quot;False_Northing&quot;,-4000000.0],PARAMETER[&quot;Central_Meridian&quot;,-120.0],PARAMETER[&quot;Standard_Parallel_1&quot;,34.0],PARAMETER[&quot;Standard_Parallel_2&quot;,40.5],PARAMETER[&quot;Latitude_Of_Origin&quot;,0.0],UNIT[&quot;Meter&quot;,1.0],AUTHORITY[&quot;EPSG&quot;,3310]]</WKT><XOrigin>-16909700</XOrigin><YOrigin>-8597000</YOrigin><XYScale>10000</XYScale><ZOrigin>0</ZOrigin><ZScale>1</ZScale><MOrigin>0</MOrigin><MScale>1</MScale><XYTolerance>0.001</XYTolerance><ZTolerance>0.001</ZTolerance><MTolerance>0.001</MTolerance><HighPrecision>true</HighPrecision><WKID>3310</WKID><LatestWKID>3310</LatestWKID></ProjectedCoordinateSystem> 20210521 06454600 ItemDescription GCS_North_American_1983 North American Datum of 1983 Geodetic Reference System 80 6378137.0 298.257222101 0.000100 Explicit elevation coordinate included with horizontal coordinates NOC Data Management Lead BLM National Operations Center, OC530 NOC Data Management Lead (303)236-6806 (303)236-3508 Bldg 50, Denver Federal Center Denver CO 80225 US jcvarner@blm.gov 20260918 ArcGIS Metadata 1.0 National Landscape Conservation System (NLCS) Wild and Scenic River Lines 2017-05-14T00:00:00 Russell Slatton BLM State Data Administrator 2800 Cottage Way Sacramento CA 95825 rslatton@blm.gov US (916) 978-4365 (916) 978-4327 8-5 NONE Russell Slatton https://blmspace.blm.doi.net/oc/intra/drs/SitePages/BLM%20National%20Landscape%20Conservation%20System%20(NLCS).aspx Feature Class BLM-STATE California Eastern States BLM-THEME Fire Forest Geology Geospatial Hydrology Management Recreation Vegetation Wilderness Wildlife Withdrawal NONE United States Western States NONE 012 013 015 Authorizations BLM Bureau of Land Management Jurisdiction Public Lands U.S. Department of the Interior, Bureau of Land Management (BLM) BLM CA NLCS Wild and Scenic River Lines vector digital data This is an aggregate national dataset. Source data were received from all or some of the BLM state offices of Alaska, Arizona, California, Colorado, Eastern States, Idaho, Montana, Nevada, New Mexico, Oregon/Washington, Utah, and Wyoming. 2017-05-14T00:00:00 Unknown Mark Conley BLM CA NCL Lead 2800 Cottage Way Sacramento CA 95825 mconley@blm.gov US (916) 978-4641 (916) 978-4657 8-5 NONE Mark Conley Bureau of Land Management <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>This polyline feature class represents the segments designated as BLM National Landscape Conservation System (NLCS) Wild and Scenic Rivers. The attributes for this feature class serve to store the feature level metadata information for the polylines, as well as document the origin and characteristics of each polyline. Lines will be segmented when any of the attributes change (e.g. when the classification changes) or to capture changes in Outstandingly Remarkable Value (ORV). Every segment must have at least one record in the related table, nlcs_wsr_orv_tbl.This state dataset may have published a dataset that is more current than the National dataset; there may be geometry variations between the state and national dataset which may have different results. The national dataset is updated following the data standard schedule.</SPAN></P></DIV></DIV></DIV> This polyline feature class represents the segments designated as BLM National Landscape Conservation System (NLCS) Wild and Scenic Rivers. The feature class is related to the nlcs_wsr_orv_tbl (table) through the nlcs_wsr_orv_rel (relationship class). The Wild and Scenic River feature class includes selected rivers in the United States preserved for possessing outstandingly, remarkable scenic, recreational, geologic, fish and wildlife, historic, cultural, or other similar values. Rivers, or sections of rivers, so designated are preserved in their free-flowing condition and are not dammed or otherwise improved. U.S. Department of the Interior, Bureau of Land Management (BLM), California State Office National Data Steward Bureau of Land Management, WO410 National Data Steward (202)912-7299 (202)245-0050 20 M Street SE Washington DC 20003-3503 US icohen@blm.gov Brendan O'Connor BLM California State Office GIS Specialist 2800 Cottage Way Sacramenot CA 95825-1886 bpoconnor@blm.gov US (916) 978-4318 (916) 978-4327 8-5 8-5 Brendan O'Connor 012 013 015 Authorizations biota BLM boundaries Bureau of Land Management California Eastern States environment Fire Forest Geology geoscientificInformation Geospatial Hydrology inlandWaters Jurisdiction location Management planningCadastre Public Lands Recreation transportation United States Vegetation Western States Wilderness Wildlife Withdrawal 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. None, these data are considered public domain. NA NA <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>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.</SPAN></P></DIV></DIV></DIV> Esri ArcGIS 10.1.1.3143 A published revision of the Department Manual’s 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). Each state office has a Data Steward or Contact Person for this data. Please contact the specific state office for additional information on their state dataset. -124.5 -113.5 42 33.5 1 published 2017-05-07T00:00:00 1971-01-01T00:00:00 Mark Conley BLM CA NCL Lead 2800 Cottage Way Sacramento CA 95825 mconley@blm.gov US (916) 978-4641 (916) 978-4657 8-5 NONE Mark Conley Last metadata review date: 20170514 This national dataset is an aggregation from multiple datasets provided by the BLM Administrative States, please contact the distributor for additional information on provenance, history, accuracy and quality of the data. The logical consistency of this dataset reflects that of the source datasets. Each source dataset is run through a series of tests to verify that the data complies with the format specified in the Data Standard. ERRORS AND INCONSISTENCIES MAY STILL BE PRESENT IN THE DATA. These tests were conducted using ESRI ArcMap 10.1. The tests consisted of checking coded values for attributes against a domain of accepted values, checking that alpha-numeric values followed a valid format, and checking that numeric values were greater than zero. For the geometry, the topology was validated; however overlaps and gaps can still be found. This national dataset is an aggregation from multiple datasets provided by the BLM Administrative States, please contact the distributor for additional information on provenance, history, accuracy and quality of the data. The logical consistency of this dataset reflects that of the source datasets. Each source dataset is run through a series of tests to verify that the data complies with the format specified in the Data Standard. ERRORS AND INCONSISTENCIES MAY STILL BE PRESENT IN THE DATA. These tests were conducted using ESRI ArcMap 10.1. The tests consisted of checking coded values for attributes against a domain of accepted values, checking that alpha-numeric values followed a valid format, and checking that numeric values were greater than zero. For the geometry, the topology was validated; however overlaps and gaps can still be found. This national dataset is an aggregation from multiple datasets provided by the BLM Administrative States, please contact the distributor for additional information on provenance, history, accuracy and quality of the data. The logical consistency of this dataset reflects that of the source datasets. Each source dataset is run through a series of tests to verify that the data complies with the format specified in the Data Standard. ERRORS AND INCONSISTENCIES MAY STILL BE PRESENT IN THE DATA. These tests were conducted using ESRI ArcMap 10.1. The tests consisted of checking coded values for attributes against a domain of accepted values, checking that alpha-numeric values followed a valid format, and checking that numeric values were greater than zero. For the geometry, the topology was validated; however overlaps and gaps can still be found. This national dataset is an aggregation from multiple datasets provided by the BLM Administrative States, please contact the distributor for additional information on provenance, history, accuracy and quality of the data. The completeness of this dataset reflects that of the source datasets. This national dataset is an aggregation from multiple datasets provided by the BLM Administrative States, please contact the distributor for additional information on provenance, history, accuracy and quality of the data. The accuracy of attributes in this dataset reflects that of the source datasets. Attribute accuracy was tested by validating attribute coded values against accepted domain values, checking that alpha-numeric values followed a valid format, and checking that numeric values were greater than zero. This national dataset is an aggregation from multiple datasets provided by the BLM Administrative States, please contact the distributor for additional information on provenance, history, accuracy and quality of the data. The positional accuracy across this dataset varies according to the source. none This official BLM Data Management handbook contains information about how data is administered, managed, and tracked. This handbook discusses how the BLM operates with regard to data development and design, quality, metadata, and business rules. The information this resource contains also pertains to geospatial data. H-1283-2 Data Administration and Management Handbook 2014-12-05 Release 1-1762 U.S. Department of Interior, Bureau of Land Management (BLM) http://web.blm.gov/internal/wo-500/directives/dir-hdbk/h1283-2.pdf publication date Using the implementation guidelines, GIS staff at BLM field and state offices cross-walk and clean up their data to comply with the standardized national dataset. Then, the BLM field and/or state offices submit the data to the National Operations Center (NOC), where it is compiled to produce seamless national datasets. This process of data replication to the National Operations Center is intended to occur on a monthly basis. Spatial Data Coordinator BLM National Operations Center Spatial Data Coordinator (303)236-5445 (303)236-3508 Bldg. 50, Denver Federal Center Denver CO 80225 US scrowe@blm.gov 2017-05-07T00:00:00 429 Russell Slatton BLM State Data Administrator 2800 Cottage Way Sacramento CA 95825 rslatton@blm.gov US (916) 978-4365 (916) 978-4327 8-5 NONE Russell Slatton dataset EPSG 6.8(9.2.0) 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. None, these data are considered public domain. 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