eng utf8 dataset dataset GIS Manager Bureau of Land Management - New Mexico State Office GIS Team Lead 505-954-2000

301 Dinosaur Trail Santa Fe NM 87508 US blm_nm_comments@blm.gov

pointOfContact 2023-04-25 ISO 19139 Geographic Information - Metadata - Implementation Specification 2007 fullPlanarGraph composite 2284 26913 EPSG 6.11(3.0.1) 2021-12-07 publication Bureau of Land Management publisher U.S. Department of the Interior, Bureau of Land Management (BLM) originator 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 polygon feature class represents the spatial extent and boundaries for BLM Grazing Allotments. The purpose of this polygon feature class is to show BLM Grazing Allotments, which are areas of land designated and managed for grazing of livestock. It may include private, state, and public lands under the jurisdiction of the Bureau of Land Management and/or other federal agencies. An allotment is derived from its pastures, where the grazing of livestock is occuring. These attributes of the BLM Grazing Allotment features may be duplicated in RAS, but are considered to be minimum information for unique identification and cartographic purposes. BLM Admin State completed GIS Manager Bureau of Land Management - New Mexico State Office GIS Team Lead 505-954-2000

301 Dinosaur Trail Santa Fe NM 87508 US blm_nm_comments@blm.gov

pointOfContact asNeeded New Mexico place United States Western States place United States Western States place Authorization Geospatial Management Range theme Authorization Geospatial Management Range theme Authorization Geospatial Management Range theme Authorization Geospatial Management Range theme Allotments BLM Grazing Lands theme Allotments BLM Grazing Lands theme Allotments BLM Grazing Lands theme Allotments BLM Grazing Lands theme Downloadable Data 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. 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. vector eng utf8 boundaries farming planningCadastre Esri ArcGIS 10.1.1.3143 true -109.357944 -102.955694 31.311856 37.044241 2021-12-07 -168.124968 -98.901825 31.327188 66.95186 2021-12-07 publication date 2021-12-07 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. Feature Class GIS Manager Bureau of Land Management - New Mexico State Office GIS Team Lead 505-954-2000

301 Dinosaur Trail Santa Fe NM 87508 US blm_nm_comments@blm.gov

pointOfContact dataset Good 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. Good 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 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. 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 positional accuracy across this dataset varies according to the source. 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. 2021-12-07T00:00:00 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

processor 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. 2014-12-05 publication Release 1-1762 U.S. Department of Interior, Bureau of Land Management (BLM) originator publication date unclassified Grazing Grazing Allotment Boundaries unknown Last metadata review date: 20211228