utf8 dataset dataset NOC Data Management Lead BLM National Operations Center, OC530 NOC Data Management Lead

Bldg. 85, Denver Federal Center Denver CO 80225 US kkirkpatrick@blm.gov

pointOfContact 2026-10-07 ISO 19139 Geographic Information - Metadata - Implementation Specification 2007 4269 EPSG 6.5(3.0.1) 2026-10-07 publication U.S. Department of the Interior, Bureau of Land Management (BLM) originator U.S. Department of Interior, Bureau of Land Management (BLM) originator Bureau of Land Management publisher mapDigital 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. This feature class is the BLM Natl GTLF Public Not Assessed Trails subset of the feature dataset containing the BLM Ground Transportation Linear Features. A linear feature for ground transportation includes roads, primitive roads, primitive routes, trails, temporary routes, and linear disturbances. The Ground Transportation Linear Feature (GTLF) data standard provides a national geospatial data standard of the ground transportation linear features in BLM’s Enterprise GIS (E-GIS). A national BLM GTLF data standard is essential for collecting the landscape-scale data necessary to identify management opportunities and challenges that may not be evident when managing smaller land areas. GTLF data not only serve the crucial function of improving BLM transportation planning, but is also invaluable to numerous other BLM programs affected by transportation (e.g. water and air quality, wildlife habitat fragmentation, engineering, realty, cultural resources). This dataset is a subset of the official national dataset, containing features and attributes intended for public release and has been optimized for online map service performance. The Schema Workbook represents the official national dataset from which this dataset was derived. The purpose of the GTLF data standard is to help support the BLM mission in a wide spectrum of subject areas. The GTLF data standard will also provide BLM programs with a better understanding of the impact of transportation on their programs. The national GTLF standard allows for the capture of data from the Travel Management Plan (TMP) as well as from observed route usage. BLM Admin State completed National Data Steward Bureau of Land Management Steward (202) 912-7362

20 M Street SE Washington DC 20003-3503 US dbyrd@blm.gov

pointOfContact monthly Alaska Arizona California Colorado Eastern States Idaho Montana Nevada New Mexico Oregon Utah Wyoming place United States Western States place Disturbance Geospatial Management theme BLM Bureau of Land Management Linear Primitive Roads Primitive Routes Roads Temporary Routes Trails theme 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. 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. otherRestrictions None, these data are considered public domain. vector utf8 boundaries location planningCadastre transportation Esri ArcGIS 10.1.1.3143 true -179.144809 179.774913 17.67376 71.389488 publication date 2026-10-07 -179.144809 179.774913 17.67376 71.389488 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. NOC Data Management Lead BLM National Operations Center, OC530 NOC Data Management Lead

Bldg. 85, Denver Federal Center Denver CO 80225 US kkirkpatrick@blm.gov

distributor ESRI file geodatabase 10.5 https://gis.blm.gov/arcgis/rest/services/transportation/BLM_Natl_GTLF_Public_Display/MapServer dataset 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 a particular state's 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. 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 a particular state's 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 a particular state's 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 a particular state's data. The completeness of this dataset reflects that of the source datasets. Using the Schema Workbook, 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 BLM Headquarters, where it is compiled to produce seamless national datasets. Spatial Data Coordinator BLM Headquarters Spatial Data Coordinator (303)236-3508

Bldg. 85, Denver Federal Center Denver CO 80225 US scrowe@blm.gov

processor H-1283-2 Data Administration and Management Handbook 2014-12-05 publication Release 1-1762 U.S. Department of Interior, Bureau of Land Management (BLM) originator publication date 2014-12-05 This document describes the physical design for the national data standard for the geospatial dataset. It is intended as a guideline for implementation. States may extend and expand upon this guideline in order to meet their specific needs, provided that when the data is pushed up to the national level, it will meet the minimum requirements as set forth in the Data Standard. Ground Transportation Linear Features (GTLF) Schema Workbook 2014-10-23 publication United States Department of the Interior Bureau of Land Management originator monthly Last metadata review date: 20220223