U.S. Department of Interior, Bureau of Land Management (BLM) BLM CA NLCS Wilderness Study Areas Polygons 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 polygon feature class represents the spatial extent and boundaries of the BLM National Landscape Conservation System (NLCS) Wilderness Study Areas.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 polygon feature class represents the spatial extent and boundaries of the BLM National Landscape Conservation System (NLCS) Wilderness Study Areas. The Federal Land Policy and Management Act of 1976 directed the Bureau to inventory and study its roadless areas for wilderness characteristics. To be designated as a Wilderness Study Area, an area has to have the following characteristics: Size - roadless areas of at least 5,000 acres of public lands or of a manageable size; Naturalness - generally appears to have been affected primarily by the forces of nature; Opportunities - provides outstanding opportunities for solitude or primitive and unconfined types of recreation. In addition, Wilderness Study Areas often have special qualities such as ecological, geological, educational, historical, scientific and scenic values. 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 Oregon Montana Utah Nevada Wyoming Arizona California Idaho Alaska New Mexico Colorado BLM-STATE Western States Eastern States United States None Forest Hydrology Wildlife Management Wilderness Fire Authorization Public Lands Geospatial Bureau of Land Management BLM Wilderness Management Jurisdiction 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 -123.941513 -103.821063 49.000115 31.332281 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 H-1283-2 Data Administration and Management Handbook 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 62 TRUE FALSE nlcs_wsa_poly BLM NLCS Wilderness Study Areas Polygons National Landscape Conservation System (NLCS) Implementation Guidelines Feature Class 62 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 Identifier String 10 0 0 NLCS_NAME The official name of the NLCS area. 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 WSA_RCMND The name that indicates the BLM recommendation on wilderness suitability. National Landscape Conservation System (NLCS) Implementation Guidelines NLCS_DOM_WSA_RCMND National Landscape Conservation System (NLCS) Implementation Guidelines WSA Recommendation String 20 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 ROD_DATE The date on which the decision is signed by the person who has approval authority for the decisions. The Record of Decision signing date of the monitoring or activity plan, if any, for the particular Wilderness Study Area. National Landscape Conservation System (NLCS) Implementation Guidelines Record of Decision Date Date 8 0 0 WSACODE_ca WSACODE_ca String 32 0 0 CASO CASO FLPMA_SEC_ca FLPMA_SEC_ca SmallInteger 2 5 0 CASO CASO MODIFY_BY MODIFY_BY String 30 0 0 CASO CASO MODIFY_DATE MODIFY_DATE Date 8 0 0 CASO CASO GIS_ACRES GIS_ACRES Double 8 38 8 CASO 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 FAU_ID FAU_ID Integer 4 10 0 Federal Administrative Agency ID CASO SMA_ID SMA_ID_ca Integer 4 10 0 Surface Management Agency ID CASO Shape.area Shape.area Double 0 0 0 area esri Shape.len Shape.len Double 0 0 0 lenth esri 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) Wilderness Study Area Polygons 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 20150521 10401000 1.0 FGDC CSDGM Metadata FALSE 20220923 15313600 625000 50000 nlcs_wsa_poly -277197.608600 362517.130400 -595793.388800 442074.664900 1 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> 20220916 07383000 original metadata PD94bWwgdmVyc2lvbj0iMS4wIiBlbmNvZGluZz0idXRmLTgiPz4NCjxtZXRhZGF0YT4NCiAgPGlk aW5mbz4NCiAgICA8Y2l0YXRpb24+DQogICAgICA8Y2l0ZWluZm8+DQogICAgICAgIDxvcmlnaW4+ VS5TLiBEZXBhcnRtZW50IG9mIEludGVyaW9yLCBCdXJlYXUgb2YgTGFuZCBNYW5hZ2VtZW50IChC TE0pPC9vcmlnaW4+DQogICAgICAgIDx0aXRsZT5OTENTIFdpbGRlcm5lc3MgU3R1ZHkgQXJlYXMg UG9seWdvbnM8L3RpdGxlPg0KICAgICAgICA8Z2VvZm9ybT52ZWN0b3IgZGlnaXRhbCBkYXRhPC9n ZW9mb3JtPg0KICAgICAgICA8b3RoZXJjaXQ+VGhpcyBpcyBhbiBhZ2dyZWdhdGUgbmF0aW9uYWwg ZGF0YXNldC4gU291cmNlIGRhdGEgd2VyZSByZWNlaXZlZCBmcm9tIGFsbCBvciBzb21lIG9mIHRo ZSBCTE0gc3RhdGUgb2ZmaWNlcyBvZiBBbGFza2EsIEFyaXpvbmEsIENhbGlmb3JuaWEsIENvbG9y YWRvLCBFYXN0ZXJuIFN0YXRlcywgSWRhaG8sIE1vbnRhbmEsIE5ldmFkYSwgTmV3IE1leGljbywg T3JlZ29uL1dhc2hpbmd0b24sIFV0YWgsIGFuZCBXeW9taW5nLjwvb3RoZXJjaXQ+DQogICAgICA8 L2NpdGVpbmZvPg0KICAgIDwvY2l0YXRpb24+DQogICAgPGRlc2NyaXB0Pg0KICAgICAgPGFic3Ry YWN0PlRoaXMgZmVhdHVyZSBjbGFzcyByZXByZXNlbnRzIHRoZSBwb2x5Z29uIGZlYXR1cmVzIGZv ciB0aGUgTkxDUyBXaWxkZXJuZXNzIFN0dWR5IEFyZWFzLjwvYWJzdHJhY3Q+DQogICAgICA8cHVy cG9zZT5UaGlzIGZlYXR1cmUgY2xhc3MgcmVwcmVzZW50cyB0aGUgcG9seWdvbiBmZWF0dXJlcyBm b3IgdGhlIE5MQ1MgV2lsZGVybmVzcyBTdHVkeSBBcmVhcy4gVGhlIEZlZGVyYWwgTGFuZCBQb2xp Y3kgYW5kIE1hbmFnZW1lbnQgQWN0IG9mIDE5NzYgZGlyZWN0ZWQgdGhlIEJ1cmVhdSB0byBpbnZl bnRvcnkgYW5kIHN0dWR5IGl0cyByb2FkbGVzcyBhcmVhcyBmb3Igd2lsZGVybmVzcyBjaGFyYWN0 ZXJpc3RpY3MuIFRvIGJlIGRlc2lnbmF0ZWQgYXMgYSBXaWxkZXJuZXNzIFN0dWR5IEFyZWEsIGFu IGFyZWEgaGFzIHRvIGhhdmUgdGhlIGZvbGxvd2luZyBjaGFyYWN0ZXJpc3RpY3M6IFNpemUgLSBy b2FkbGVzcyBhcmVhcyBvZiBhdCBsZWFzdCA1LDAwMCBhY3JlcyBvZiBwdWJsaWMgbGFuZHMgb3Ig b2YgYSBtYW5hZ2VhYmxlIHNpemU7IE5hdHVyYWxuZXNzIC0gZ2VuZXJhbGx5IGFwcGVhcnMgdG8g aGF2ZSBiZWVuIGFmZmVjdGVkIHByaW1hcmlseSBieSB0aGUgZm9yY2VzIG9mIG5hdHVyZTsgT3Bw b3J0dW5pdGllcyAtIHByb3ZpZGVzIG91dHN0YW5kaW5nIG9wcG9ydHVuaXRpZXMgZm9yIHNvbGl0 dWRlIG9yIHByaW1pdGl2ZSBhbmQgdW5jb25maW5lZCB0eXBlcyBvZiByZWNyZWF0aW9uLiBJbiBh ZGRpdGlvbiwgV2lsZGVybmVzcyBTdHVkeSBBcmVhcyBvZnRlbiBoYXZlIHNwZWNpYWwgcXVhbGl0 aWVzIHN1Y2ggYXMgZWNvbG9naWNhbCwgZ2VvbG9naWNhbCwgZWR1Y2F0aW9uYWwsIGhpc3Rvcmlj YWwsIHNjaWVudGlmaWMgYW5kIHNjZW5pYyB2YWx1ZXMuPC9wdXJwb3NlPg0KICAgIDwvZGVzY3Jp cHQ+DQogICAgPHN0YXR1cz4NCiAgICAgIDxwcm9ncmVzcz5Db21wbGV0ZTwvcHJvZ3Jlc3M+DQog ICAgICA8dXBkYXRlPkFzIG5lZWRlZDwvdXBkYXRlPg0KICAgIDwvc3RhdHVzPg0KICAgIDxrZXl3 b3Jkcz4NCiAgICAgIDx0aGVtZT4NCiAgICAgICAgPHRoZW1la3Q+Tm9uZTwvdGhlbWVrdD4NCiAg ICAgICAgPHRoZW1la2V5PkJ1cmVhdSBvZiBMYW5kIE1hbmFnZW1lbnQ8L3RoZW1la2V5Pg0KICAg ICAgICA8dGhlbWVrZXk+V2lsZGVybmVzczwvdGhlbWVrZXk+DQogICAgICAgIDx0aGVtZWtleT5S ZWNyZWF0aW9uPC90aGVtZWtleT4NCiAgICAgICAgPHRoZW1la2V5PlB1YmxpYyBMYW5kczwvdGhl bWVrZXk+DQogICAgICAgIDx0aGVtZWtleT5NYW5hZ2VtZW50PC90aGVtZWtleT4NCiAgICAgICAg PHRoZW1la2V5PkJMTTwvdGhlbWVrZXk+DQogICAgICAgIDx0aGVtZWtleT5KdXJpc2RpY3Rpb248 L3RoZW1la2V5Pg0KICAgICAgICA8dGhlbWVrZXk+V2l0aGRyYXdhbDwvdGhlbWVrZXk+DQogICAg ICA8L3RoZW1lPg0KICAgICAgPHRoZW1lPg0KICAgICAgICA8dGhlbWVrdD5JU08gMTkxMTUgVG9w aWMgQ2F0ZWdvcmllczwvdGhlbWVrdD4NCiAgICAgICAgPHRoZW1la2V5PmJvdW5kYXJpZXM8L3Ro ZW1la2V5Pg0KICAgICAgICA8dGhlbWVrZXk+ZW52aXJvbm1lbnQ8L3RoZW1la2V5Pg0KICAgICAg ICA8dGhlbWVrZXk+bG9jYXRpb248L3RoZW1la2V5Pg0KICAgICAgICA8dGhlbWVrZXk+cGxhbm5p bmdDYWRhc3RyZTwvdGhlbWVrZXk+DQogICAgICA8L3RoZW1lPg0KICAgICAgPHBsYWNlPg0KICAg ICAgICA8cGxhY2VrdD5Ob25lPC9wbGFjZWt0Pg0KICAgICAgICA8cGxhY2VrZXk+T3JlZ29uPC9w bGFjZWtleT4NCiAgICAgICAgPHBsYWNla2V5Pldlc3Rlcm4gU3RhdGVzPC9wbGFjZWtleT4NCiAg ICAgICAgPHBsYWNla2V5Pk5vcnRoIERha290YTwvcGxhY2VrZXk+DQogICAgICAgIDxwbGFjZWtl eT5XYXNoaW5ndG9uPC9wbGFjZWtleT4NCiAgICAgICAgPHBsYWNla2V5Pk1vbnRhbmE8L3BsYWNl a2V5Pg0KICAgICAgICA8cGxhY2VrZXk+U291dGggRGFrb3RhPC9wbGFjZWtleT4NCiAgICAgICAg PHBsYWNla2V5PlV0YWg8L3BsYWNla2V5Pg0KICAgICAgICA8cGxhY2VrZXk+TmV2YWRhPC9wbGFj ZWtleT4NCiAgICAgICAgPHBsYWNla2V5Pld5b21pbmc8L3BsYWNla2V5Pg0KICAgICAgICA8cGxh Y2VrZXk+TmVicmFza2E8L3BsYWNla2V5Pg0KICAgICAgICA8cGxhY2VrZXk+QXJpem9uYTwvcGxh Y2VrZXk+DQogICAgICAgIDxwbGFjZWtleT5DYWxpZm9ybmlhPC9wbGFjZWtleT4NCiAgICAgICAg PHBsYWNla2V5PlVuaXRlZCBTdGF0ZXM8L3BsYWNla2V5Pg0KICAgICAgICA8cGxhY2VrZXk+SWRh aG88L3BsYWNla2V5Pg0KICAgICAgICA8cGxhY2VrZXk+QWxhc2thPC9wbGFjZWtleT4NCiAgICAg ICAgPHBsYWNla2V5PkVhc3Rlcm4gU3RhdGVzPC9wbGFjZWtleT4NCiAgICAgICAgPHBsYWNla2V5 Pk5ldyBNZXhpY288L3BsYWNla2V5Pg0KICAgICAgICA8cGxhY2VrZXk+Q29sb3JhZG88L3BsYWNl a2V5Pg0KICAgICAgPC9wbGFjZT4NCiAgICA8L2tleXdvcmRzPg0KICAgIDxhY2Njb25zdD5Ob25l LCB0aGVzZSBkYXRhIGFyZSBjb25zaWRlcmVkIHB1YmxpYyBkb21haW4uPC9hY2Njb25zdD4NCiAg ICA8dXNlY29uc3Q+VGhlc2UgZGF0YSBhcmUgcHJvdmlkZWQgYnkgQkxNICJhcyBpcyIgYW5kIG1h eSBjb250YWluIGVycm9ycyBvciBvbWlzc2lvbnMuIFRoZSBVc2VyIGFzc3VtZXMgdGhlIGVudGly ZSByaXNrIGFzc29jaWF0ZWQgd2l0aCBpdHMgdXNlIG9mIHRoZXNlIGRhdGEgYW5kIGJlYXJzIGFs bCByZXNwb25zaWJpbGl0eSBpbiBkZXRlcm1pbmluZyB3aGV0aGVyIHRoZXNlIGRhdGEgYXJlIGZp dCBmb3IgdGhlIFVzZXIncyBpbnRlbmRlZCB1c2UuIFRoZSBpbmZvcm1hdGlvbiBjb250YWluZWQg aW4gdGhlc2UgZGF0YSBpcyBkeW5hbWljIGFuZCBtYXkgY2hhbmdlIG92ZXIgdGltZS4gVGhlIGRh dGEgYXJlIG5vdCBiZXR0ZXIgdGhhbiB0aGUgb3JpZ2luYWwgc291cmNlcyBmcm9tIHdoaWNoIHRo ZXkgd2VyZSBkZXJpdmVkLCBhbmQgYm90aCBzY2FsZSBhbmQgYWNjdXJhY3kgbWF5IHZhcnkgYWNy b3NzIHRoZSBkYXRhIHNldC4gVGhlc2UgZGF0YSBtYXkgbm90IGhhdmUgdGhlIGFjY3VyYWN5LCBy ZXNvbHV0aW9uLCBjb21wbGV0ZW5lc3MsIHRpbWVsaW5lc3MsIG9yIG90aGVyIGNoYXJhY3Rlcmlz dGljcyBhcHByb3ByaWF0ZSBmb3IgYXBwbGljYXRpb25zIHRoYXQgcG90ZW50aWFsIHVzZXJzIG9m IHRoZSBkYXRhIG1heSBjb250ZW1wbGF0ZS4gVGhlIFVzZXIgaXMgZW5jb3VyYWdlZCB0byBjYXJl ZnVsbHkgY29uc2lkZXIgdGhlIGNvbnRlbnQgb2YgdGhlIG1ldGFkYXRhIGZpbGUgYXNzb2NpYXRl ZCB3aXRoIHRoZXNlIGRhdGEuIFRoZXNlIGRhdGEgYXJlIG5laXRoZXIgbGVnYWwgZG9jdW1lbnRz IG5vciBsYW5kIHN1cnZleXMsIGFuZCBtdXN0IG5vdCBiZSB1c2VkIGFzIHN1Y2guIE9mZmljaWFs IHJlY29yZHMgbWF5IGJlIHJlZmVyZW5jZWQgYXQgbW9zdCBCTE0gb2ZmaWNlcy4gUGxlYXNlIHJl cG9ydCBhbnkgZXJyb3JzIGluIHRoZSBkYXRhIHRvIHRoZSBCTE0gb2ZmaWNlIGZvciB3aGljaCBp dCB3YXMgb2J0YWluZWQuIFRoZSBCTE0gc2hvdWxkIGJlIGNpdGVkIGFzIHRoZSBkYXRhIHNvdXJj ZSBpbiBhbnkgcHJvZHVjdHMgZGVyaXZlZCBmcm9tIHRoZXNlIGRhdGEuIEFueSBVc2VycyB3aXNo aW5nIHRvIG1vZGlmeSB0aGUgZGF0YSBzaG91bGQgZGVzY3JpYmUgdGhlIHR5cGVzIG9mIG1vZGlm aWNhdGlvbnMgdGhleSBoYXZlIHBlcmZvcm1lZC4gVGhlIFVzZXIgc2hvdWxkIG5vdCBtaXNyZXBy ZXNlbnQgdGhlIGRhdGEsIG5vciBpbXBseSB0aGF0IGNoYW5nZXMgbWFkZSB3ZXJlIGFwcHJvdmVk IG9yIGVuZG9yc2VkIGJ5IEJMTS4gVGhpcyBpbmZvcm1hdGlvbiBtYXkgYmUgdXBkYXRlZCB3aXRo b3V0IG5vdGlmaWNhdGlvbi48L3VzZWNvbnN0Pg0KICAgIDxwdGNvbnRhYz4NCiAgICAgIDxjbnRp bmZvPg0KICAgICAgICA8Y250b3JncD4NCiAgICAgICAgICA8Y250b3JnPkJ1cmVhdSBvZiBMYW5k IE1hbmFnZW1lbnQsIFdPNDEwPC9jbnRvcmc+DQogICAgICAgICAgPGNudHBlcj5JbGFuYSBDb2hl bjwvY250cGVyPg0KICAgICAgICA8L2NudG9yZ3A+DQogICAgICAgIDxjbnRwb3M+RGF0YSBTdGV3 YXJkPC9jbnRwb3M+DQogICAgICAgIDxjbnRhZGRyPg0KICAgICAgICAgIDxhZGRydHlwZT5waHlz aWNhbDwvYWRkcnR5cGU+DQogICAgICAgICAgPGFkZHJlc3M+MjAgTSBTdHJlZXQgU0U8L2FkZHJl c3M+DQogICAgICAgICAgPGNpdHk+V2FzaGluZ3RvbjwvY2l0eT4NCiAgICAgICAgICA8c3RhdGU+ RGlzdHJpY3Qgb2YgQ29sdW1iaWE8L3N0YXRlPg0KICAgICAgICAgIDxwb3N0YWw+MjAwMDMtMzUw MzwvcG9zdGFsPg0KICAgICAgICAgIDxjb3VudHJ5PlVTPC9jb3VudHJ5Pg0KICAgICAgICA8L2Nu dGFkZHI+DQogICAgICAgIDxjbnR2b2ljZT4oMjAyKTkxMi03Mjk5PC9jbnR2b2ljZT4NCiAgICAg ICAgPGNudGVtYWlsPmljb2hlbkBibG0uZ292PC9jbnRlbWFpbD4NCiAgICAgIDwvY250aW5mbz4N CiAgICA8L3B0Y29udGFjPg0KICAgIDxuYXRpdmU+TWljcm9zb2Z0IFdpbmRvd3MgWFAgVmVyc2lv biA1LjEgKEJ1aWxkIDI2MDApIFNlcnZpY2UgUGFjayAzOyBFU1JJIEFyY0NhdGFsb2cgOS4zLjEu MzUwMDwvbmF0aXZlPg0KICA8L2lkaW5mbz4NCiAgPGRhdGFxdWFsPg0KICAgIDxsb2dpYz5UaGlz IG5hdGlvbmFsIGRhdGFzZXQgaXMgYW4gYWdncmVnYXRpb24gZnJvbSBtdWx0aXBsZSBkYXRhc2V0 cyBwcm92aWRlZCBieSB0aGUgQkxNIEFkbWluaXN0cmF0aXZlIFN0YXRlcywgcGxlYXNlIGNvbnRh Y3QgdGhlIHNwZWNpZmljIHN0YXRlIG9mZmljZSBQb2ludCBvZiBDb250YWN0IGZvciBhZGRpdGlv bmFsIGluZm9ybWF0aW9uIG9uIHByb3ZlbmFuY2UsIGhpc3RvcnksIGFjY3VyYWN5IGFuZCBxdWFs aXR5IG9mIHRoZWlyIHN0YXRlJ3MgZGF0YS4gVGhlIGxvZ2ljYWwgY29uc2lzdGVuY3kgb2YgdGhp cyBkYXRhc2V0IHJlZmxlY3RzIHRoYXQgb2YgdGhlIHNvdXJjZSBkYXRhc2V0cy4gRWFjaCBzb3Vy Y2UgZGF0YXNldCBpcyBydW4gdGhyb3VnaCBhIHNlcmllcyBvZiB0ZXN0cyB0byB2ZXJpZnkgdGhh dCB0aGUgZGF0YSBjb21wbGllcyB3aXRoIHRoZSBmb3JtYXQgc3BlY2lmaWVkIGluIHRoZSBEYXRh IFN0YW5kYXJkLiBFUlJPUlMgQU5EIElOQ09OU0lTVEVOQ0lFUyBNQVkgU1RJTEwgQkUgUFJFU0VO VCBJTiBUSEUgREFUQS4gVGhlc2UgdGVzdHMgd2VyZSBjb25kdWN0ZWQgdXNpbmcgRVNSSSBBcmNN YXAgMTAuMS4gVGhlIHRlc3RzIGNvbnNpc3RlZCBvZiBjaGVja2luZyBjb2RlZCB2YWx1ZXMgZm9y IGF0dHJpYnV0ZXMgYWdhaW5zdCBhIGRvbWFpbiBvZiBhY2NlcHRlZCB2YWx1ZXMsIGNoZWNraW5n IHRoYXQgYWxwaGEtbnVtZXJpYyB2YWx1ZXMgZm9sbG93ZWQgYSB2YWxpZCBmb3JtYXQsIGFuZCBj aGVja2luZyB0aGF0IG51bWVyaWMgdmFsdWVzIHdlcmUgZ3JlYXRlciB0aGFuIHplcm8uIEZvciB0 aGUgZ2VvbWV0cnksIHRoZSB0b3BvbG9neSB3YXMgdmFsaWRhdGVkOyBob3dldmVyIG92ZXJsYXBz IGFuZCBnYXBzIGNhbiBzdGlsbCBiZSBmb3VuZC48L2xvZ2ljPg0KICAgIDxjb21wbGV0ZT5UaGlz IG5hdGlvbmFsIGRhdGFzZXQgaXMgYW4gYWdncmVnYXRpb24gZnJvbSBtdWx0aXBsZSBkYXRhc2V0 cyBwcm92aWRlZCBieSB0aGUgQkxNIEFkbWluaXN0cmF0aXZlIFN0YXRlcywgcGxlYXNlIGNvbnRh Y3QgdGhlIHNwZWNpZmljIHN0YXRlIG9mZmljZSBQb2ludCBvZiBDb250YWN0IGZvciBhZGRpdGlv bmFsIGluZm9ybWF0aW9uIG9uIHByb3ZlbmFuY2UsIGhpc3RvcnksIGFjY3VyYWN5IGFuZCBxdWFs aXR5IG9mIHRoZWlyIHN0YXRlJ3MgZGF0YS4gVGhlIGNvbXBsZXRlbmVzcyBvZiB0aGlzIGRhdGFz ZXQgcmVmbGVjdHMgdGhhdCBvZiB0aGUgc291cmNlIGRhdGFzZXRzLjwvY29tcGxldGU+DQogICAg PGxpbmVhZ2U+DQogICAgICA8cHJvY3N0ZXA+DQogICAgICAgIDxwcm9jZGVzYz5Vc2luZyB0aGUg aW1wbGVtZW50YXRpb24gZ3VpZGVsaW5lcywgR0lTIHN0YWZmIGF0IEJMTSBmaWVsZCBhbmQgc3Rh dGUgb2ZmaWNlcyBjcm9zcy13YWxrIGFuZCBjbGVhbiB1cCB0aGVpciBkYXRhIHRvIGNvbXBseSB3 aXRoIHRoZSBzdGFuZGFyZGl6ZWQgbmF0aW9uYWwgZGF0YXNldC4gVGhlbiwgdGhlIEJMTSBmaWVs ZCBhbmQvb3Igc3RhdGUgb2ZmaWNlcyBzdWJtaXQgdGhlIGRhdGEgdG8gdGhlIE5hdGlvbmFsIE9w ZXJhdGlvbnMgQ2VudGVyIChOT0MpLCB3aGVyZSBpdCBpcyBjb21waWxlZCB0byBwcm9kdWNlIHNl YW1sZXNzIG5hdGlvbmFsIGRhdGFzZXRzLjwvcHJvY2Rlc2M+DQogICAgICA8L3Byb2NzdGVwPg0K ICAgIDwvbGluZWFnZT4NCiAgPC9kYXRhcXVhbD4NCiAgPHNwZG9pbmZvPg0KICAgIDxkaXJlY3Q+ VmVjdG9yPC9kaXJlY3Q+DQogICAgPHB0dmN0aW5mPg0KICAgICAgPHNkdHN0ZXJtPg0KICAgICAg ICA8c2R0c3R5cGU+R1QtcG9seWdvbiBjb21wb3NlZCBvZiBjaGFpbnM8L3NkdHN0eXBlPg0KICAg ICAgICA8cHR2Y3RjbnQ+MTMxMTwvcHR2Y3RjbnQ+DQogICAgICA8L3NkdHN0ZXJtPg0KICAgIDwv cHR2Y3RpbmY+DQogIDwvc3Bkb2luZm8+DQogIDxlYWluZm8+DQogICAgPGRldGFpbGVkPg0KICAg ICAgPGVudHR5cD4NCiAgICAgICAgPGVudHR5cGw+bmxjc193c2FfcG9seTwvZW50dHlwbD4NCiAg ICAgIDwvZW50dHlwPg0KICAgICAgPGF0dHI+DQogICAgICAgIDxhdHRybGFibD5PQkpFQ1RJRDwv YXR0cmxhYmw+DQogICAgICAgIDxhdHRyZGVmPkludGVybmFsIGZlYXR1cmUgbnVtYmVyLjwvYXR0 cmRlZj4NCiAgICAgICAgPGF0dHJkZWZzPkVzcmk8L2F0dHJkZWZzPg0KICAgICAgICA8YXR0cmRv bXY+DQogICAgICAgICAgPHVkb20+U2VxdWVudGlhbCB1bmlxdWUgd2hvbGUgbnVtYmVycyB0aGF0 IGFyZSBhdXRvbWF0aWNhbGx5IGdlbmVyYXRlZC48L3Vkb20+DQogICAgICAgIDwvYXR0cmRvbXY+ DQogICAgICA8L2F0dHI+DQogICAgICA8YXR0cj4NCiAgICAgICAgPGF0dHJsYWJsPlNoYXBlPC9h dHRybGFibD4NCiAgICAgICAgPGF0dHJkZWY+RmVhdHVyZSBnZW9tZXRyeS48L2F0dHJkZWY+DQog ICAgICAgIDxhdHRyZGVmcz5Fc3JpPC9hdHRyZGVmcz4NCiAgICAgICAgPGF0dHJkb212Pg0KICAg ICAgICAgIDx1ZG9tPkNvb3JkaW5hdGVzIGRlZmluaW5nIHRoZSBmZWF0dXJlcy48L3Vkb20+DQog ICAgICAgIDwvYXR0cmRvbXY+DQogICAgICA8L2F0dHI+DQogICAgICA8YXR0cj4NCiAgICAgICAg PGF0dHJsYWJsPk5MQ1NfSUQ8L2F0dHJsYWJsPg0KICAgICAgICA8YXR0cmRlZj5UaGUgZGVzaWdu ZWQgcHJpbWFyeSBrZXkgdGhhdCB3aWxsIHVuaXF1ZWx5IGlkZW50aWZ5IGEgc2luZ2xlIG9jY3Vy cmVuY2Ugb2YgdGhlIGVudGl0eS4gIFRoZSBwcmltYXJ5IGtleSBmb3IgTkxDUyB3aWxsIGJlIDEw IGRpZ2l0cy4gIFRoZSBmaXJzdCBmb3VyIHdpbGwgYmUg4oCcTkxDU+KAnSBhbmQgdGhlIGxhc3Qg c2l4IGRpZ2l0cyB3aWxsIGJlIGEgc2VxdWVudGlhbCBudW1iZXIuPC9hdHRyZGVmPg0KICAgICAg ICA8YXR0cmRlZnM+TmF0aW9uYWwgTGFuZHNjYXBlIENvbnNlcnZhdGlvbiBTeXN0ZW0gKE5MQ1Mp IEltcGxlbWVudGF0aW9uIEd1aWRlbGluZXMsIFZlcnNpb24gMS4xPC9hdHRyZGVmcz4NCiAgICAg IDwvYXR0cj4NCiAgICAgIDxhdHRyPg0KICAgICAgICA8YXR0cmxhYmw+TkxDU19OQU1FPC9hdHRy bGFibD4NCiAgICAgICAgPGF0dHJkZWY+VGhlIG9mZmljaWFsIG5hbWUgb2YgdGhlIE5MQ1MgYXJl YS4gIFRoZSBuYW1lIG9mIGEgbmF0aW9uYWxseSBzaWduaWZpY2FudCBkZXNpZ25hdGVkIGFyZWEg d2l0aCBzY2llbnRpZmljLCBjdWx0dXJhbCwgZWR1Y2F0aW9uYWwsIGVjb2xvZ2ljYWwgYW5kIG90 aGVyIHZhbHVlcy48L2F0dHJkZWY+DQogICAgICAgIDxhdHRyZGVmcz5OYXRpb25hbCBMYW5kc2Nh cGUgQ29uc2VydmF0aW9uIFN5c3RlbSAoTkxDUykgSW1wbGVtZW50YXRpb24gR3VpZGVsaW5lcywg VmVyc2lvbiAxLjE8L2F0dHJkZWZzPg0KICAgICAgPC9hdHRyPg0KICAgICAgPGF0dHI+DQogICAg ICAgIDxhdHRybGFibD5DQVNFRklMRV9OTzwvYXR0cmxhYmw+DQogICAgICAgIDxhdHRyZGVmPlRo ZSBzZXJpYWxpemVkIGNhc2UgbnVtYmVyIGZvciBlYWNoIE5MQ1MgYXJlYS4gIFRoZSBudW1iZXIg dGhhdCByZWZlcnMgdG8gdGhlIHNlcmlhbGl6ZWQgY2FzZSBmaWxlIG51bWJlciBvZiB0aGUgZ3Jv dXAgb2Ygb2ZmaWNpYWwgZG9jdW1lbnRzIHRoYXQgcmVjb3JkIHRoZSBmYWN0cywgb3IgYWN0aW9u cyB0YWtlbiwgb24gYSBzcGVjaWZpYyBhcHBsaWNhdGlvbiwgc3VjaCBhcyBhbiBvaWwgYW5kIGdh cyBsZWFzZSwgZXhjaGFuZ2UsIGFpcnBvcnQgbGVhc2UsIGVhc2VtZW50IGFjcXVpc2l0aW9uLCBl dGMuICBBIGNhc2UgZmlsZSBzZXRzIGFzaWRlIHRoZSBsYW5kIGFzIGFuIE5MQ1MsIHdpdGhkcmF3 cyB0aGUgYXJlYSBmcm9tIGNlcnRhaW4gdXNlcywgYW5kIHJlZ2lzdGVycyB0aGlzIHdpdGhkcmF3 YWwgb24gdGhlIE1hc3RlciBUaXRsZSBQbGF0cy48L2F0dHJkZWY+DQogICAgICAgIDxhdHRyZGVm cz5OYXRpb25hbCBMYW5kc2NhcGUgQ29uc2VydmF0aW9uIFN5c3RlbSAoTkxDUykgSW1wbGVtZW50 YXRpb24gR3VpZGVsaW5lcywgVmVyc2lvbiAxLjE8L2F0dHJkZWZzPg0KICAgICAgPC9hdHRyPg0K ICAgICAgPGF0dHI+DQogICAgICAgIDxhdHRybGFibD5XU0FfUkNNTkQ8L2F0dHJsYWJsPg0KICAg ICAgICA8YXR0cmRlZj5UaGUgbmFtZSB0aGF0IGluZGljYXRlcyB0aGUgQkxNIHJlY29tbWVuZGF0 aW9uIG9uIHdpbGRlcm5lc3Mgc3VpdGFiaWxpdHkuPC9hdHRyZGVmPg0KICAgICAgICA8YXR0cmRl ZnM+TmF0aW9uYWwgTGFuZHNjYXBlIENvbnNlcnZhdGlvbiBTeXN0ZW0gKE5MQ1MpIEltcGxlbWVu dGF0aW9uIEd1aWRlbGluZXMsIFZlcnNpb24gMS4xPC9hdHRyZGVmcz4NCiAgICAgICAgPGF0dHJk b212Pg0KICAgICAgICAgIDxjb2Rlc2V0ZD4NCiAgICAgICAgICAgIDxjb2Rlc2V0bj5OTENTX0RP TV9XU0FfUkNNTkQ8L2NvZGVzZXRuPg0KICAgICAgICAgICAgPGNvZGVzZXRzPk5hdGlvbmFsIExh bmRzY2FwZSBDb25zZXJ2YXRpb24gU3lzdGVtIChOTENTKSBJbXBsZW1lbnRhdGlvbiBHdWlkZWxp bmVzLCBWZXJzaW9uIDEuMTwvY29kZXNldHM+DQogICAgICAgICAgPC9jb2Rlc2V0ZD4NCiAgICAg ICAgPC9hdHRyZG9tdj4NCiAgICAgIDwvYXR0cj4NCiAgICAgIDxhdHRyPg0KICAgICAgICA8YXR0 cmxhYmw+QURNSU5fU1Q8L2F0dHJsYWJsPg0KICAgICAgICA8YXR0cmRlZj5BbiBhbHBoYWJldGlj IGFiYnJldmlhdGlvbiB0aGF0IHJlcHJlc2VudHMgZWFjaCBvZiB0aGUgNTAgc3RhdGVzIG9mIHRo ZSBVbml0ZWQgU3RhdGVzLCB0aGUgRGlzdHJpY3Qgb2YgQ29sdW1iaWEsIHRoZSBvdXRseWluZyBh cmVhcyBvZiB0aGUgVW5pdGVkIFN0YXRlcywgYW5kIGFzc29jaWF0ZWQgYXJlYXMuICBGSVBTIFBV QiA1LTI8L2F0dHJkZWY+DQogICAgICAgIDxhdHRyZGVmcz5ET01fQURNSU5fU1Q8L2F0dHJkZWZz Pg0KICAgICAgPC9hdHRyPg0KICAgICAgPGF0dHI+DQogICAgICAgIDxhdHRybGFibD5ST0RfREFU RTwvYXR0cmxhYmw+DQogICAgICAgIDxhdHRyZGVmPlRoZSBkYXRlIG9uIHdoaWNoIHRoZSBkZWNp c2lvbiBpcyBzaWduZWQgYnkgdGhlIHBlcnNvbiB3aG8gaGFzIGFwcHJvdmFsIGF1dGhvcml0eSBm b3IgdGhlIGRlY2lzaW9ucy4gVGhlIFJlY29yZCBvZiBEZWNpc2lvbiBzaWduaW5nIGRhdGUgb2Yg dGhlIG1vbml0b3Jpbmcgb3IgYWN0aXZpdHkgcGxhbiwgaWYgYW55LCBmb3IgdGhlIHBhcnRpY3Vs YXIgV2lsZGVybmVzcyBTdHVkeSBBcmVhLiAgIDwvYXR0cmRlZj4NCiAgICAgICAgPGF0dHJkZWZz Pk5hdGlvbmFsIExhbmRzY2FwZSBDb25zZXJ2YXRpb24gU3lzdGVtIChOTENTKSBJbXBsZW1lbnRh dGlvbiBHdWlkZWxpbmVzLCBWZXJzaW9uIDEuMTwvYXR0cmRlZnM+DQogICAgICA8L2F0dHI+DQog ICAgICA8YXR0cj4NCiAgICAgICAgPGF0dHJsYWJsPlNoYXBlX0xlbmd0aDwvYXR0cmxhYmw+DQog ICAgICAgIDxhdHRyZGVmPkxlbmd0aCBvZiBmZWF0dXJlIGluIGludGVybmFsIHVuaXRzLjwvYXR0 cmRlZj4NCiAgICAgICAgPGF0dHJkZWZzPkVzcmk8L2F0dHJkZWZzPg0KICAgICAgICA8YXR0cmRv bXY+DQogICAgICAgICAgPHVkb20+UG9zaXRpdmUgcmVhbCBudW1iZXJzIHRoYXQgYXJlIGF1dG9t YXRpY2FsbHkgZ2VuZXJhdGVkLjwvdWRvbT4NCiAgICAgICAgPC9hdHRyZG9tdj4NCiAgICAgIDwv YXR0cj4NCiAgICAgIDxhdHRyPg0KICAgICAgICA8YXR0cmxhYmw+U2hhcGVfQXJlYTwvYXR0cmxh Ymw+DQogICAgICAgIDxhdHRyZGVmPkFyZWEgb2YgZmVhdHVyZSBpbiBpbnRlcm5hbCB1bml0cyBz cXVhcmVkLjwvYXR0cmRlZj4NCiAgICAgICAgPGF0dHJkZWZzPkVzcmk8L2F0dHJkZWZzPg0KICAg ICAgICA8YXR0cmRvbXY+DQogICAgICAgICAgPHVkb20+UG9zaXRpdmUgcmVhbCBudW1iZXJzIHRo YXQgYXJlIGF1dG9tYXRpY2FsbHkgZ2VuZXJhdGVkLjwvdWRvbT4NCiAgICAgICAgPC9hdHRyZG9t dj4NCiAgICAgIDwvYXR0cj4NCiAgICA8L2RldGFpbGVkPg0KICA8L2VhaW5mbz4NCiAgPGRpc3Rp bmZvPg0KICAgIDxkaXN0cmliPg0KICAgICAgPGNudGluZm8+DQogICAgICAgIDxjbnRvcmdwPg0K ICAgICAgICAgIDxjbnRvcmc+QkxNIE5hdGlvbmFsIE9wZXJhdGlvbnMgQ2VudGVyPC9jbnRvcmc+ DQogICAgICAgICAgPGNudHBlcj5Ub20gQ2hhdGZpZWxkPC9jbnRwZXI+DQogICAgICAgIDwvY250 b3JncD4NCiAgICAgICAgPGNudHBvcz5OT0MgRGF0YSBNYW5hZ2VtZW50IExlYWQ8L2NudHBvcz4N CiAgICAgICAgPGNudGFkZHI+DQogICAgICAgICAgPGFkZHJ0eXBlPnBoeXNpY2FsPC9hZGRydHlw ZT4NCiAgICAgICAgICA8YWRkcmVzcz5CbGRnIDUwLCBEZW52ZXIgRmVkZXJhbCBDZW50ZXI8L2Fk ZHJlc3M+DQogICAgICAgICAgPGNpdHk+RGVudmVyPC9jaXR5Pg0KICAgICAgICAgIDxzdGF0ZT5D b2xvcmFkbzwvc3RhdGU+DQogICAgICAgICAgPHBvc3RhbD44MDIyNTwvcG9zdGFsPg0KICAgICAg ICAgIDxjb3VudHJ5PlVTPC9jb3VudHJ5Pg0KICAgICAgICA8L2NudGFkZHI+DQogICAgICAgIDxj bnR2b2ljZT4oMzAzKTIzNi0xOTM2PC9jbnR2b2ljZT4NCiAgICAgICAgPGNudGVtYWlsPnRjaGF0 ZmllQGJsbS5nb3Y8L2NudGVtYWlsPg0KICAgICAgPC9jbnRpbmZvPg0KICAgIDwvZGlzdHJpYj4N CiAgICA8ZGlzdGxpYWI+VGhlIEJMTSBhc3N1bWVzIG5vIHJlc3BvbnNpYmlsaXR5IGZvciBlcnJv cnMgb3Igb21pc3Npb25zLiBObyB3YXJyYW50eSBpcyBtYWRlIGJ5IHRoZSBCTE0gYXMgdG8gdGhl IGFjY3VyYWN5LCByZWxpYWJpbGl0eSwgb3IgY29tcGxldGVuZXNzIG9mIHRoZXNlIGRhdGEgZm9y IGluZGl2aWR1YWwgdXNlIG9yIGFnZ3JlZ2F0ZSB1c2Ugd2l0aCBvdGhlciBkYXRhOyBub3Igc2hh bGwgdGhlIGFjdCBvZiBkaXN0cmlidXRpb24gdG8gY29udHJhY3RvcnMsIHBhcnRuZXJzLCBvciBi ZXlvbmQsIGNvbnN0aXR1dGUgYW55IHN1Y2ggd2FycmFudHkgZm9yIGluZGl2aWR1YWwgb3IgYWdn cmVnYXRlIGRhdGEgdXNlIHdpdGggb3RoZXIgZGF0YS4gQWx0aG91Z2ggdGhlc2UgZGF0YSBoYXZl IGJlZW4gcHJvY2Vzc2VkIHN1Y2Nlc3NmdWxseSBvbiBjb21wdXRlcnMgb2YgQkxNLCBubyB3YXJy YW50eSwgZXhwcmVzc2VkIG9yIGltcGxpZWQsIGlzIG1hZGUgYnkgQkxNIHJlZ2FyZGluZyB0aGUg dXNlIG9mIHRoZXNlIGRhdGEgb24gYW55IG90aGVyIHN5c3RlbSwgb3IgZm9yIGdlbmVyYWwgb3Ig c2NpZW50aWZpYyBwdXJwb3Nlcywgbm9yIGRvZXMgdGhlIGZhY3Qgb2YgZGlzdHJpYnV0aW9uIGNv bnN0aXR1dGUgb3IgaW1wbHkgYW55IHN1Y2ggd2FycmFudHkuIEluIG5vIGV2ZW50IHNoYWxsIHRo ZSBCTE0gaGF2ZSBhbnkgbGlhYmlsaXR5IHdoYXRzb2V2ZXIgZm9yIHBheW1lbnQgb2YgYW55IGNv bnNlcXVlbnRpYWwsIGluY2lkZW50YWwsIGluZGlyZWN0LCBzcGVjaWFsLCBvciB0b3J0IGRhbWFn ZXMgb2YgYW55IGtpbmQsIGluY2x1ZGluZywgYnV0IG5vdCBsaW1pdGVkIHRvLCBhbnkgbG9zcyBv ZiBwcm9maXRzIGFyaXNpbmcgb3V0IG9mIHRoZSB1c2Ugb3IgcmVsaWFuY2Ugb24gdGhlIGdlb2dy YXBoaWMgZGF0YSBvciBhcmlzaW5nIG91dCBvZiB0aGUgZGVsaXZlcnksIGluc3RhbGxhdGlvbiwg b3BlcmF0aW9uLCBvciBzdXBwb3J0IGJ5IEJMTS4gPC9kaXN0bGlhYj4NCiAgPC9kaXN0aW5mbz4N CiAgPG1ldGFpbmZvPg0KICAgIDxtZXRkPjIwMTMwOTA1PC9tZXRkPg0KICAgIDxtZXRjPg0KICAg ICAgPGNudGluZm8+DQogICAgICAgIDxjbnRvcmdwPg0KICAgICAgICAgIDxjbnRvcmc+QkxNIE5h dGlvbmFsIE9wZXJhdGlvbnMgQ2VudGVyPC9jbnRvcmc+DQogICAgICAgICAgPGNudHBlcj5Ub20g Q2hhdGZpZWxkPC9jbnRwZXI+DQogICAgICAgIDwvY250b3JncD4NCiAgICAgICAgPGNudHBvcz5O T0MgRGF0YSBNYW5hZ2VtZW50IExlYWQ8L2NudHBvcz4NCiAgICAgICAgPGNudGFkZHI+DQogICAg ICAgICAgPGFkZHJ0eXBlPnBoeXNpY2FsPC9hZGRydHlwZT4NCiAgICAgICAgICA8YWRkcmVzcz5C bGRnIDUwLCBEZW52ZXIgRmVkZXJhbCBDZW50ZXI8L2FkZHJlc3M+DQogICAgICAgICAgPGNpdHk+ RGVudmVyPC9jaXR5Pg0KICAgICAgICAgIDxzdGF0ZT5Db2xvcmFkbzwvc3RhdGU+DQogICAgICAg ICAgPHBvc3RhbD44MDIyNTwvcG9zdGFsPg0KICAgICAgICAgIDxjb3VudHJ5PlVTPC9jb3VudHJ5 Pg0KICAgICAgICA8L2NudGFkZHI+DQogICAgICAgIDxjbnR2b2ljZT4oMzAzKTIzNi0xOTM2PC9j bnR2b2ljZT4NCiAgICAgICAgPGNudGVtYWlsPnRjaGF0ZmllQGJsbS5nb3Y8L2NudGVtYWlsPg0K ICAgICAgPC9jbnRpbmZvPg0KICAgIDwvbWV0Yz4NCiAgICA8bWV0c3Rkbj5GR0RDIENvbnRlbnQg U3RhbmRhcmQgZm9yIERpZ2l0YWwgR2Vvc3BhdGlhbCBNZXRhZGF0YTwvbWV0c3Rkbj4NCiAgICA8 bWV0c3Rkdj5GR0RDLVNURC0wMDEtMTk5ODwvbWV0c3Rkdj4NCiAgICA8bWV0dGM+bG9jYWwgdGlt ZTwvbWV0dGM+DQogIDwvbWV0YWluZm8+DQo8L21ldGFkYXRhPg== 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 20220923 ArcGIS Metadata 1.0 National Landscape Conservation System (NLCS) Wilderness Study Area Polygons withheld 2017-05-12T00:00:00 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 Authorization Fire Forest Geospatial Hydrology Management Recreation Wilderness Wildlife Withdrawal NONE 012 013 015 Authorizations BLM Bureau of Land Management Jurisdiction Public Lands NONE United States Western States U.S. Department of the Interior, Bureau of Land Management (BLM) BLM CA NLCS Wilderness Study Areas Polygons 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. 2017-05-12T00:00:00 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 Bureau of Land Management <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>This polygon feature class represents the spatial extent and boundaries of the BLM National Landscape Conservation System (NLCS) Wilderness Study Areas.</SPAN></P><P><SPAN /></P><P><SPAN><SPAN>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></SPAN></P><P><SPAN /></P></DIV></DIV></DIV> This polygon feature class represents the spatial extent and boundaries of the BLM National Landscape Conservation System (NLCS) Wilderness Study Areas. The Federal Land Policy and Management Act of 1976 directed the Bureau to inventory and study its roadless areas for wilderness characteristics. To be designated as a Wilderness Study Area, an area has to have the following characteristics: Size - roadless areas of at least 5,000 acres of public lands or of a manageable size; Naturalness - generally appears to have been affected primarily by the forces of nature; Opportunities - provides outstanding opportunities for solitude or primitive and unconfined types of recreation. In addition, Wilderness Study Areas often have special qualities such as ecological, geological, educational, historical, scientific and scenic values. BLM California 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 Authorization Authorizations biota BLM boundaries Bureau of Land Management California Eastern States environment Fire Forest geoscientificInformation Geospatial Hydrology inlandWaters Jurisdiction location Management planningCadastre Public Lands Recreation United States 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 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. 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 32.5 1 Published 2017-05-12T00:00:00 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: 20170512 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 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. 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 2017-05-12T00:00:00 62 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. NA NA