Layers:

Layer: Streets & Addresses (0)

Sub Layers:
• Address Points
• Street Centerlines
• State Route Labels
• Trails
Name: Streets & Addresses

Display Field:

Type: Group Layer

Geometry Type: null

Description:

Service Item Id: 72da23c813094cd0a89dc439ae3ba05e

Copyright Text:

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MaxRecordCount: 0

MaxSelectionCount: 0

Supported Query Formats: JSON, geoJSON, PBF

Min Scale: 0.0

Max Scale: 0.0

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Supports Statistics: false

Has Labels: false

Can Modify Layer: false

Can Scale Symbols: false

Use Standardized Queries: true

Supports Datum Transformation: true

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Spatial Reference: 102100  (3857)  LatestVCSWkid(0)



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Feature Draw Order:
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Advanced Query Capabilities:
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Supports OrderBy: false
Supports Distinct: false
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Supports TrueCurve: true
Supports Returning Query Extent: true
Supports Query With Distance: true
Supports Sql Expression: false
Supports Query With ResultType: false
Supports Returning Geometry Centroid: false
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Supports Query With LOD Spatial Reference: false
Supports Percentile Statistics: false
Supports Having Clause: false
Supports Count Distinct: false
Supports Time Relation: true
Supports Sql Format: false
Supports Query Analytic: false
Supports Query With Current User: true


HasZ: false

HasM: false

Has Attachments: false

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Type ID Field: null

Fields: None

Layer: Address Points (1)

Name: Address Points

Display Field: NAME

Type: Feature Layer

Geometry Type: esriGeometryPoint

Description:

Service Item Id: 72da23c813094cd0a89dc439ae3ba05e

Copyright Text:

Default Visibility: true

MaxRecordCount: 2000

MaxSelectionCount: 2000

Supported Query Formats: JSON, geoJSON, PBF

Min Scale: 10000.0

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Supports Statistics: true

Has Labels: true

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Use Standardized Queries: true

Supports Datum Transformation: true

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  Label: Addressable Structure
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• Value: 3002
  Label: Advertising Sign
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• Value: 1905
  Label: Camper
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  Symbol:
  
• Value: 3003
  Label: Cell Tower
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  Symbol:
  
• Value: 2002
  Label: Church
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  Symbol:
  
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  Label: Commercial
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• Value: 1906
  Label: Duplex
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• Value: 2003
  Label: Medical Facility
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• Value: 1902
  Label: Modular
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  Symbol:
  
• Value: 1901
  Label: Non Addressable Structure
  Description: N/A
  Symbol:
  
• Value: 3000
  Label: Power Pole
  Description: N/A
  Symbol:
  
• Value: 2004
  Label: Recreational
  Description: N/A
  Symbol:
  
• Value: 2000
  Label: Restaurant
  Description: N/A
  Symbol:
  
• Value: 2001
  Label: School
  Description: N/A
  Symbol:
  
• Value: 1904
  Label: Single Wide
  Description: N/A
  Symbol:
  
• Value: 3001
  Label: Water Tap
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  Symbol:
  
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Supports OrderBy: true
Supports Distinct: true
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Supports Returning Query Extent: true
Supports Query With Distance: true
Supports Sql Expression: true
Supports Query With ResultType: false
Supports Returning Geometry Centroid: false
Supports Binning LOD: false
Supports Query With LOD Spatial Reference: false
Supports Percentile Statistics: true
Supports Having Clause: true
Supports Count Distinct: true
Supports Time Relation: true
Supports Sql Format: false
Supports Query Analytic: true
Supports Query With Current User: true


HasZ: false

HasM: false

Has Attachments: false

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Type ID Field: null

Fields:
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• PARCELNO ( type: esriFieldTypeString, alias: Parcel No, length: 30 )
• ADDRESS ( type: esriFieldTypeString, alias: Whole Address, length: 100 )
• UNITTYPE ( type: esriFieldTypeString, alias: Unit Type, length: 6 , Coded Values: [APT: Apartment] , [BLDG: Building] , [BSMT: Basement] , ...22 more... )
• APT ( type: esriFieldTypeString, alias: Unit, length: 10 )
• POSTAL_TOWN ( type: esriFieldTypeString, alias: Postal Town, length: 30 )
• POSTAL_STATE ( type: esriFieldTypeString, alias: Postal State, length: 2 )
• POSTAL_CODE ( type: esriFieldTypeInteger, alias: Postal Code )
• Shape ( type: esriFieldTypeGeometry, alias: Shape )

Layer: Street Centerlines (2)

Name: Street Centerlines

Display Field: NAME

Type: Feature Layer

Geometry Type: esriGeometryPolyline

Description:

Service Item Id: 72da23c813094cd0a89dc439ae3ba05e

Copyright Text:

Default Visibility: true

MaxRecordCount: 2000

MaxSelectionCount: 2000

Supported Query Formats: JSON, geoJSON, PBF

Min Scale: 500000.0

Max Scale: 0.0

Supports Advanced Queries: true

Supports Statistics: true

Has Labels: true

Can Modify Layer: true

Can Scale Symbols: false

Use Standardized Queries: true

Supports Datum Transformation: true

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YMin: 4087430.303364395
XMax: -8582565.744095596
YMax: 4161827.5819121734
Spatial Reference: 102100  (3857)  LatestVCSWkid(0)



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Field 2: N/A
Field 3: N/A
Field Delimiter: ,
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Width: 1
Default Label: Streets
UniqueValueInfos:
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  Label: Major Roads
  Description: N/A
  Symbol:
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  Color: [255, 211, 127, 255]
  Width: 3
• Value: 98
  Label: Thoroughfares
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  Color: [255, 235, 175, 255]
  Width: 2
Transparency: 0
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Feature Draw Order:
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Advanced Query Capabilities:
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Supports OrderBy: true
Supports Distinct: true
Supports Pagination: true
Supports TrueCurve: true
Supports Returning Query Extent: true
Supports Query With Distance: true
Supports Sql Expression: true
Supports Query With ResultType: false
Supports Returning Geometry Centroid: false
Supports Binning LOD: false
Supports Query With LOD Spatial Reference: false
Supports Percentile Statistics: true
Supports Having Clause: true
Supports Count Distinct: true
Supports Time Relation: true
Supports Sql Format: false
Supports Query Analytic: true
Supports Query With Current User: true


HasZ: false

HasM: false

Has Attachments: false

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Type ID Field: null

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• NID ( type: esriFieldTypeInteger, alias: Name ID )
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• L_POSTAL_STATE ( type: esriFieldTypeString, alias: L Postal State, length: 2 )
• R_POSTAL_STATE ( type: esriFieldTypeString, alias: R Postal State, length: 2 )
• L_POSTAL_CODE ( type: esriFieldTypeInteger, alias: L Postal Code )
• R_POSTAL_CODE ( type: esriFieldTypeInteger, alias: R Postal Code )
• FCODE ( type: esriFieldTypeInteger, alias: Street Code , Coded Values: [1800: Addressable Road] , [1750: Non-Addressable Roads] , [1700: Driveway] )
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• SPEED ( type: esriFieldTypeSmallInteger, alias: Speed , Coded Values: [-1: No Travel] , [0: 0 mph] , [5: 5 mph] , ...16 more... )
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• EDIT_DATE ( type: esriFieldTypeDate, alias: Edit Date, length: 8 )
• EDIT_NAME ( type: esriFieldTypeString, alias: Edit Name, length: 50 )
• GlobalID ( type: esriFieldTypeGlobalID, alias: GlobalID, length: 38 )
• ONEWAY ( type: esriFieldTypeString, alias: One Way, length: 10 , Coded Values: [NONE: No Travel] , [BOTH: Both] , [FROMTO: From To] , ...1 more... )
• FT_COST ( type: esriFieldTypeDouble, alias: FromTo Cost )
• TF_COST ( type: esriFieldTypeDouble, alias: ToFrom Cost )
• F_ELEV ( type: esriFieldTypeSmallInteger, alias: From Elev , Coded Values: [0: 0] , [1: 1] )
• T_ELEV ( type: esriFieldTypeSmallInteger, alias: To Elev , Coded Values: [0: 0] , [1: 1] )
• COUNTRY_L ( type: esriFieldTypeString, alias: Country L, length: 2 )
• COUNTRY_R ( type: esriFieldTypeString, alias: Country R, length: 2 )
• STATE_L ( type: esriFieldTypeString, alias: State L, length: 2 )
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• COUNTY_L ( type: esriFieldTypeString, alias: County L, length: 100 )
• COUNTY_R ( type: esriFieldTypeString, alias: County R, length: 100 )
• INCORP_L ( type: esriFieldTypeString, alias: Incorp L, length: 100 )
• INCORP_R ( type: esriFieldTypeString, alias: Incorp R, length: 100 )
• PARITY_L ( type: esriFieldTypeString, alias: Parity L, length: 1 )
• PARITY_R ( type: esriFieldTypeString, alias: Parity R, length: 1 )
• RCLNGUID ( type: esriFieldTypeString, alias: RCL NGUID, length: 254 )
• DISCREP_AG ( type: esriFieldTypeString, alias: Discrepancy Ag, length: 100 )
• PFX_MOD ( type: esriFieldTypeString, alias: Pfx Mod, length: 15 )
• PFX_DIR ( type: esriFieldTypeString, alias: Pfx Dir, length: 9 )
• PFX_TYPE ( type: esriFieldTypeString, alias: Pfx Type, length: 50 )
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• SFX_MOD ( type: esriFieldTypeString, alias: Sfx Mod, length: 25 )
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Layer: State Route Labels (3)

Name: State Route Labels

Display Field: NAME

Type: Feature Layer

Geometry Type: esriGeometryPolyline

Description:

Service Item Id: 72da23c813094cd0a89dc439ae3ba05e

Copyright Text:

Default Visibility: false

MaxRecordCount: 2000

MaxSelectionCount: 2000

Supported Query Formats: JSON, geoJSON, PBF

Min Scale: 5000.0

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Supports Statistics: true

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Supports Query Analytic: true
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Layer: Trails (4)

Name: Trails

Display Field: NAME

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Description:

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Copyright Text:

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MaxSelectionCount: 2000

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Supports Statistics: true

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Layer: Soil & Elevation (24)

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Layer: Web Soil Survey Effective 9 13 2023 (26)

Parent Layer: Soil & Elevation

Name: Web Soil Survey Effective 9 13 2023

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Description: Identification_Information: Citation: Citation_Information: Originator: U.S. Department of Agriculture, Natural Resources Conservation Service Publication_Date: 20220121 Title: Soil Survey Geographic (SSURGO) database for Onslow County, North Carolina Publication_Information: Publication_Place: Fort Worth, Texas Publisher: U.S. Department of Agriculture, Natural Resources Conservation Service Other_Citation_Details: nc133 Online_Linkage: https://websoilsurvey.sc.egov.usda.gov/ Description: Abstract: This data set is a digital soil survey and generally is the most detailed level of soil geographic data developed by the National Cooperative Soil Survey. The information was prepared by digitizing maps, by compiling information onto a planimetric correct base and digitizing, or by revising digitized maps using remotely sensed and other information. This data set consists of georeferenced digital map data and computerized attribute data. The map data are in a soil survey area extent format and include a detailed, field verified inventory of soils and miscellaneous areas that normally occur in a repeatable pattern on the landscape and that can be cartographically shown at the scale mapped. A special soil features layer (point and line features) is optional. This layer displays the location of features too small to delineate at the mapping scale, but they are large enough and contrasting enough to significantly influence use and management. The soil map units are linked to attributes in the National Soil Information System relational database, which gives the proportionate extent of the component soils and their properties. Purpose: SSURGO depicts information about the kinds and distribution of soils on the landscape. The soil map and data used in the SSURGO product were prepared by soil scientists as part of the National Cooperative Soil Survey. Supplemental_Information: Digital versions of hydrography, cultural features, and other associated layers that are not part of the SSURGO data set may be available from the primary organization listed in the Point of Contact. Time_Period_of_Content: Time_Period_Information: Range_of_Dates/Times: Beginning_Date: 20030925 Ending_Date: 20220121 Currentness_Reference: publication date Status: Progress: Complete Maintenance_and_Update_Frequency: As needed Spatial_Domain: Bounding_Coordinates: West_Bounding_Coordinate: -77.686 East_Bounding_Coordinate: -77.097 North_Bounding_Coordinate: 34.985 South_Bounding_Coordinate: 34.440 Keywords: Theme: Theme_Keyword_Thesaurus: None Theme_Keyword: soil survey Theme_Keyword: soils Theme_Keyword: Soil Survey Geographic Theme_Keyword: SSURGO Place: Place_Keyword_Thesaurus: USGS Geographic Names Information System (GNIS) Place_Keyword: North Carolina Place_Keyword: Onslow County Place_Keyword: Spicer Bay Quadrangle Place_Keyword: Holly Ridge Quadrangle Place_Keyword: Browns Inlet Quadrangle Place_Keyword: New River Inlet Quadrangle Place_Keyword: Sneads Ferry Quadrangle Place_Keyword: Folkstone Quadrangle Place_Keyword: Maple Hill SW Quadrangle Place_Keyword: Swansboro Quadrangle Place_Keyword: Hubert Quadrangle Place_Keyword: Camp Lejeune Quadrangle Place_Keyword: Jacksonville South Quadrangle Place_Keyword: Haws Run Quadrangle Place_Keyword: Maple Hill Quadrangle Place_Keyword: Stella Quadrangle Place_Keyword: Kellum Quadrangle Place_Keyword: Jacksonville North Quadrangle Place_Keyword: Catherine Lake Quadrangle Place_Keyword: Lyman Quadrangle Place_Keyword: Maysville Quadrangle Place_Keyword: Jacksonville NE Quadrangle Place_Keyword: Jacksonville NW Quadrangle Place_Keyword: Richlands Quadrangle Place_Keyword: Potters Hill Quadrangle Access_Constraints: None Use_Constraints: The U.S. Department of Agriculture, Natural Resources Conservation Service, should be acknowledged as the data source in products derived from these data. This data set is not designed for use as a primary regulatory tool in permitting or citing decisions, but may be used as a reference source. This is public information and may be interpreted by organizations, agencies, units of government, or others based on needs; however, they are responsible for the appropriate application. Federal, State, or local regulatory bodies are not to reassign to the Natural Resources Conservation Service any authority for the decisions that they make. The Natural Resources Conservation Service will not perform any evaluations of these maps for purposes related solely to State or local regulatory programs. Photographic or digital enlargement of these maps to scales greater than at which they were originally mapped can cause misinterpretation of the data. If enlarged, maps do not show the small areas of contrasting soils that could have been shown at a larger scale. The depicted soil boundaries, interpretations, and analysis derived from them do not eliminate the need for onsite sampling, testing, and detailed study of specific sites for intensive uses. Thus, these data and their interpretations are intended for planning purposes only. Digital data files are periodically updated. Files are dated, and users are responsible for obtaining the latest version of the data. Point_of_Contact: Contact_Information: Contact_Organization_Primary: Contact_Organization: U.S. Department of Agriculture, Natural Resources Conservation Service Contact_Position: State Soil Scientist Contact_Address: Address_Type: mailing address Address: 4407 Bland Road, Suite 117 City: Raleigh State_or_Province: NC Postal_Code: 27609 Contact_Voice_Telephone: 919-873-2171 Contact_Electronic_Mail_Address: michael.jones3@usda.govData_Quality_Information: Attribute_Accuracy: Attribute_Accuracy_Report: The attribute accuracy is tested by manual comparison of the source with hard copy plots and/or symbolized display of the map data on an interactive computer graphic system. Selected attributes that cannot be visually verified on plots or on screen are interactively queried and verified on screen. In addition, the attributes are tested against a master set of valid attributes. All attribute data conform to the attribute codes in the signed classification and correlation document and amendment(s). Logical_Consistency_Report: Certain node/geometry and topology GT- polygon/chain relationships are collected or generated to satisfy topological requirements (the GT-polygon corresponds to the soil delineation). Some of these requirements include: chains must begin and end at nodes, chains must connect to each other at nodes, chains do not extend through nodes, left and right GT-polygons are defined for each chain element and are consistent throughout, and the chains representing the limits of the file are free of gaps. The tests of logical consistency are performed using vendor software. All internal polygons are tested for closure with vendor software and are checked on hard copy plots. All data are checked for common soil lines (i.e., adjacent polygons with the same label). Edge locations generally do not deviate from centerline to centerline by more than 0.01 inch. The Soil Survey of Onslow County, North Carolina is edge matched to the adjacent North Carolina Soil Survey Geographic (SSURGO) databases of Pender County, Duplin County, Jones County and Carteret County. The White Oak River separates Onslow County from Carteret County. Some of the soil labels (map unit symbols) for this soil survey match the soil labels for the other adjacent soil surveys. The feature edges (mapping unit boundaries) for this soil survey do not match the feature edges for the other adjacent soil surveys. The soil survey boundary for Onslow County matches the soil survey boundary for the adjacent certified soil surveys. Completeness_Report: A map unit is a collection of areas defined and named in terms of their soil components or miscellaneous areas or both. Each map unit differs in some respect from all others in a survey area and each map unit has a symbol that uniquely identifies the map unit on a soil map. Each individual area, point, or line so identified on the map is a delineation. Soil Scientists identify small areas of soils or miscellaneous areas that have properties and behavior significantly different than the named soils in the surrounding map unit. These minor components may be indicated as special features. If they have a minimal effect on use and management, or could not be precisely located, they may not be indicated on the map. A map unit has specified kinds of soils or miscellaneous areas (map unit components), each with a designated range in proportionate extent. Map units include one or more kinds of soil or miscellaneous area. Miscellaneous areas are areas that have little or no recognizable soil. Specific National Cooperative Soil Survey standards and procedures were used in the classification of soils, design and name of map units, and location of special soil features. These standards are outlined in Agricultural Handbook 18, Soil Survey Manual, 1993, USDA, NRCS; Agricultural Handbook 436, Soil Taxonomy, 1995, USDA, NRCS; and all Amendments; Keys to Soil Taxonomy, (current issue) USDA, NRCS; National Soil Survey Handbook, title 430-VI,(current issue) USDA, NRCS. The actual composition and interpretive purity of the map unit delineations were based on data collected by scientists during the course of preparing the soil maps. Adherence to National Cooperative Soil Survey standards and procedures is based on peer review, quality control, and quality assurance. Quality control is outlined in the memorandum of understanding for the soil survey area and in documents that reside with the Natural Resources Conservation Service state soil scientist. Four kinds of map units are used in soil surveys: consociations, complexes, associations, and undifferentiated groups. Consociations - Consociations are named for the dominant soil. In a consociation, delineated areas use a single name from the dominant component in the map unit. Dissimilar components are minor in extent. The soil component in a consociation may be identified at any taxonomic level. Soil series is the lowest taxonomic level. A consociation that is named as a miscellaneous area is dominantly that kind of area and minor components do not significantly affect the use of the map unit. The total amount of dissimilar inclusions of other components in a map unit generally does not exceed about 15 percent if limiting and 25 percent if nonlimiting. A single component of a dissimilar limiting inclusion generally does not exceed 10 percent if very contrasting. Complexes and associations - Complexes and associations consist of two or more dissimilar components that occur in a regularly repeating pattern. The total amount of other dissimilar components is minor extent. The following arbitrary rule determines whether complex or association is used in the name. The major components of an association can be separated at the scale of mapping. In either case, because the major components are sufficiently different in morphology or behavior, the map unit cannot be called a consociation. In each delineation of a complex or an association, each major component is normally present though their proportions may vary appreciably from one delineation to another. The total amount of inclusions in a map unit that are dissimilar to any of the major components does not exceed 15 percent if limiting and 25 percent if nonlimiting. A single kind of dissimilar limiting inclusion usually does not exceed 10 percent. Undifferentiated groups - Undifferentiated groups consist of two or more components that are not consistently associated geographically and, therefore, do not always occur together in the same map delineation. These components are included in the same named map unit because their use and management are the same or very similar for common uses. Generally they are grouped together because some common feature, such as steepness, stoniness, or flooding, determines their use and management. If two or more additional map units would serve no useful purpose, they may be included in the same unit. Each delineation has at least one of the major components, and some may have all of them. The same principles regarding the proportion of minor components that apply to consociations also apply to undifferentiated groups. The same principles regarding proportion of inclusion apply to undifferentiated groups as to consociations. Minimum documentation consists of three complete soil profile descriptions that are collected for each soil added to the legend, one additional per 3,000 acres mapped; three 10 observation transects for each map unit, one additional 10 point transect per 3,000 acres. A defined standard or level of confidence in the interpretive purity of the map unit delineations is attained by adjusting the kind and intensity of field investigations. Field investigations and data collection are carried out in sufficient detail to name map units and to identify accurately and consistently areas of about 4 acres. Positional_Accuracy: Horizontal_Positional_Accuracy: Horizontal_Positional_Accuracy_Report: The accuracy of these digital data is based upon their compilation to base maps that meet National Map Accuracy Standards at a scale of 1 inch equals 1,000 feet. The difference in positional accuracy between the soil boundaries and special soil features locations in the field and their digitized map locations is unknown. The locational accuracy of soil delineations on the ground varies with the transition between map units. For example, on long gently sloping landscapes the transition occurs gradually over many feet. Where landscapes change abruptly from steep to level, the transition will be very narrow. Soil delineation boundaries and special soil features generally were digitized within 0.01 inch of their locations on the digitizing source. The digital map elements are edge matched between data sets. The data along each quadrangle edge are matched against the data for the adjacent quadrangle. Edge locations generally do not deviate from centerline to centerline by more than 0.01 inch. Lineage: Source_Information: Source_Citation: Citation_Information: Originator: U.S. Department of Agriculture, Bureau of Soils Publication_Date: 1923 Title: Soil Survey of Onslow County, North Carolina Geospatial_Data_Presentation_Form: map Publication_Information: Publication_Place: Washington, D.C. Publisher: U.S. Government Printing Office Source_Scale_Denominator: 63360 Type_of_Source_Media: paper Source_Time_Period_of_Content: Time_Period_Information: Single_Date/Time: Calendar_Date: 1923 Source_Currentness_Reference: publication date Source_Citation_Abbreviation: USDA1 Source_Contribution: basic information about soils and landscape Source_Information: Source_Citation: Citation_Information: Originator: U.S. Department of Agriculture, Soil Conservation Service Publication_Date: 1992 Title: Soil Survey of Onslow County, North Carolina Geospatial_Data_Presentation_Form: atlas Publication_Information: Publication_Place: Washington, D.C. Publisher: U.S. Government Printing Office Source_Scale_Denominator: 24000 Type_of_Source_Media: paper Source_Time_Period_of_Content: Time_Period_Information: Range_of_Dates/Times: Beginning_Date: 2002 Ending_Date: 2003 Source_Currentness_Reference: publication date Source_Citation_Abbreviation: SCS1 Source_Contribution: information for soil mapunit delineations, soil symbols and special soil features Source_Information: Source_Citation: Citation_Information: Originator: U.S. Department of Agriculture, Agricultural and Stabilization Conservation Service Publication_Date: 1975 Title: multiple photographs Geospatial_Data_Presentation_Form: remote sensing image Publication_Information: Publication_Place: Salt Lake City, Utah Publisher: U.S. Department of Agriculture, Agricultural and Stabilization Conservation Service Source_Scale_Denominator: 24000 Type_of_Source_Media: paper Source_Time_Period_of_Content: Time_Period_Information: Range_of_Dates/Times: Beginning_Date: 1979 Ending_Date: 1983 Source_Currentness_Reference: publication date Source_Citation_Abbreviation: ASCS1 Source_Contribution: base for field mapping Source_Information: Source_Citation: Citation_Information: Originator: U.S. Geological Survey Publication_Date: 1984 Title: multiple orthophotographs Geospatial_Data_Presentation_Form: remote sensing image Publication_Information: Publication_Place: Washington, D.C. Publisher: U.S. Geological Survey Source_Scale_Denominator: 24000 Type_of_Source_Media: stable base material Source_Time_Period_of_Content: Time_Period_Information: Range_of_Dates/Times: Beginning_Date: 1984 Ending_Date: 1985 Source_Currentness_Reference: publication date Source_Citation_Abbreviation: USGS1 Source_Contribution: base material for compilation and as reference compilation of cultural features Source_Information: Source_Citation: Citation_Information: Originator: U.S. Department of Agriculture, Natural Resources Conservation Service Publication_Date: unpublished material Title: annotated overlays Geospatial_Data_Presentation_Form: maps Source_Scale_Denominator: 24000 Type_of_Source_Media: stable base material Source_Time_Period_of_Content: Time_Period_Information: Range_of_Dates/Times: Beginning_Date: 2002 Ending_Date: 2003 Source_Currentness_Reference: 2003 Source_Citation_Abbreviation: NRCS1 Source_Contribution: scanning source Source_Information: Source_Citation: Citation_Information: Originator: U.S. Department of Agriculture, Natural Resources Conservation Service Publication_Date: 2003 Title: Soil Survey Geographic (SSURGO) database for Onslow County, North Carolina Geospatial_Data_Presentation_Form: map Publication_Information: Publication_Place: Fort Worth, Texas Publisher: U.S. Department of Agriculture, Natural Resources Conservation Service, National Cartography and Geospatial Center Type_of_Source_Media: online Source_Time_Period_of_Content: Time_Period_Information: Single_Date/Time: Calendar_Date: 2004 Source_Currentness_Reference: 2004 Source_Citation_Abbreviation: NRCS2 Source_Contribution: SSURGO data for revision of attribute data Source_Information: Source_Citation: Citation_Information: Originator: U.S. Department of Agriculture, Natural Resources Conservation Service Publication_Date: 2004 Title: National Soil Information System (NASIS) database for Onslow County, North Carolina Geospatial_Data_Presentation_Form: tabular digital data Publication_Information: Publication_Place: Fort Collins, Colorado Publisher: U.S. Department of Agriculture, Natural Resources Conservation Service, Information Technology Center Type_of_Source_Media: online Source_Time_Period_of_Content: Time_Period_Information: Single_Date/Time: Calendar_Date: 2004 Source_Currentness_Reference: export certification date Source_Citation_Abbreviation: NRCS3 Source_Contribution: tabular data linked to spatial soil data Source_Information: Source_Citation: Citation_Information: Originator: U.S. Department of Agriculture, Natural Resources Conservation Service Publication_Date: 2004 Title: National Soil Information System (NASIS) data base Geospatial_Data_Presentation_Form: tabular digital data Publication_Information: Publication_Place: Fort Collins, Colorado Publisher: U.S. Department of Agriculture, Natural Resources Conservation Service Type_of_Source_Media: database Source_Time_Period_of_Content: Time_Period_Information: Range_of_Dates/Times: Beginning_Date: 2004 Ending_Date: 2007 Source_Currentness_Reference: publication date Source_Citation_Abbreviation: NASIS Source_Contribution: attribute (tabular) information Source_Information: Source_Citation: Citation_Information: Originator: U.S. Department of Agriculture, Natural Resources Conservation Service Publication_Date: unpublished material Title: topographic imagery mosaic (Digital Raster Graphic) {DRGs} in MrSID format Geospatial_Data_Presentation_Form: map Source_Scale_Denominator: 24000 Type_of_Source_Media: CD-ROM Source_Time_Period_of_Content: Time_Period_Information: Range_of_Dates/Times: Beginning_Date: 1970 Ending_Date: 2000 Source_Currentness_Reference: publication date of USGS topographic quadrangles Source_Citation_Abbreviation: NRCS4 Source_Contribution: reference for county boundary Source_Information: Source_Citation: Citation_Information: Originator: U.S. Department of Agriculture, Natural Resources Conservation Service Publication_Date: 2004 Title: Soil Survey Geographic (SSURGO) database for Onslow County, North Carolina Geospatial_Data_Presentation_Form: map Publication_Information: Publication_Place: Fort Worth, Texas Publisher: U.S. Department of Agriculture, Natural Resources Conservation Service, National Cartography and Geospatial Center Source_Scale_Denominator: 24000 Type_of_Source_Media: online Source_Time_Period_of_Content: Time_Period_Information: Single_Date/Time: Calendar_Date: 2004 Source_Currentness_Reference: publication date Source_Citation_Abbreviation: NRCS5 Source_Contribution: SSURGO data for revision of attribute and spatial data Source_Information: Source_Citation: Citation_Information: Originator: U.S. Department of Agriculture, Natural Resources Conservation Service Publication_Date: 2008 Title: Soil Survey Geographic (SSURGO) database for Onslow County, North Carolina Geospatial_Data_Presentation_Form: map Publication_Information: Publication_Place: Fort Worth, Texas Publisher: U.S. Department of Agriculture, Natural Resources Conservation Service Type_of_Source_Media: online Source_Time_Period_of_Content: Time_Period_Information: Single_Date/Time: Calendar_Date: 2009 Source_Currentness_Reference: publication date Source_Citation_Abbreviation: NRCS6 Source_Contribution: certified SSURGO data used for revisions Source_Information: Source_Citation: Citation_Information: Originator: U.S. Department of Agriculture, Natural Resources Conservation Service Publication_Date: unpublished material Title: region 3 soils geodatabase Geospatial_Data_Presentation_Form: file geodatabase Type_of_Source_Media: vector digital data Source_Time_Period_of_Content: Time_Period_Information: Range_of_Dates/Times: Beginning_Date: 2006 Ending_Date: 2018 Source_Currentness_Reference: SSURGO publication date Source_Citation_Abbreviation: NRCS7 Source_Contribution: Source of digital revision - recreated yearly Process_Step: Process_Description: Onslow County, North Carolina, had a previously published soil survey, 1923, at 1:63360 scale. A detailed evaluation found that significant changes in land use, soil classification, soil interpretations, and standards and procedures for making soil surveys made the 1923 survey obsolete. Source_Used_Citation_Abbreviation: USDA1 Process_Date: 1975 Process_Step: Process_Description: Field procedures for the second order soil survey included plotting of soil boundaries determined by field observations and by interpretation of remotely sensed data. Boundaries were verified at closely spaced intervals, and the soils in each delineation were identified be traversing and transecting the landscape. Soil scientists described and sampled the soils, analyzed samples in the laboratory, and statistically analyzed the data. The classification and the map unit names were finalized at the final correlation in 1983. Final correlation was approved in 1983. Source_Used_Citation_Abbreviation: ASCS1 Process_Date: 1983 Process_Step: Process_Description: Field maps were manually compiled to orthophotographs, North American Datum of 1983 (NAD83). Special soil features, cultural features, and hydrographic features were manually transferred onto 7 mil stable base overlays. Soil scientists and cartographic technician from North Carolina USDA Natural Resources Conservation Service (NRCS) performed compilation, transfer and quality control. Source_Used_Citation_Abbreviation: ASCS1, USGS1, NRCS1 Process_Date: 1990 Process_Step: Process_Description: Digitizing was completed by North Carolina Center for Geographic Information and Analysis (NCCGIA) under contract administered by USDA-NRCS, North Carolina. Area delineations were raster scanned from 7 mil stable base overlays prepared by NRCS personnel. The data were formatted in DLG-3 optional using a vendor developed software. Author error corrections were resolved by state staff and indicated on checkplots which were submitted to NCCGIA for use in correcting the digital data. Special features digitizing was performed by USDA-NRCS personnel in North Carolina using Arc/Info version 7.2. Source_Used_Citation_Abbreviation: NRCS1 Process_Date: 1996 Process_Step: Process_Description: The National Soil Information System (NASIS) data base was developed by NRCS soil scientists according to national standards. Source_Used_Citation_Abbreviation: SCS1 Process_Date: 2003 Process_Step: Process_Description: The data were processed through revised AMLs dated September 2003, by the NRCS Virginia Digitizing Unit. Minor codes were replaced to link spatial data map unit labels to the NASIS data base. The data were forwarded to the National Cartography and Geospatial Center (NCGC) in Fort Worth, Texas for archiving and distribution. Source_Used_Citation_Abbreviation: NRCS1 Process_Date: 2003 Process_Step: Process_Description: The survey-wide coverages from the online SSURGO data were imported to ARC/INFO 7.2 by certification staff at the Virginia Digitizing Unit. Evaluation macros of October 1998 were applied to the data. Map unit labels were compared to the map unit legend from the NASIS data base. ARCEDIT was used to join to adjacent survey boundaries and verify previous adjacent survey joins. The data were forwarded the soil data warehouse. Source_Used_Citation_Abbreviation: NRCS2, NRCS3 Process_Date: 2004 Process_Step: Process_Description: Michigan Digitizing Unit (MIDU) staff downloaded the SSURGO data for Onslow County, North Carolina from the Soil Data Mart (SDM). The ARC/INFO coverages were imported into ARCGIS version 9.1. The mapping units along the soil survey boundary with Pender County and Duplin County were adjusted to match the image of the county boundary on the digital topographic quadrangles. After the soil survey edits were completed, the seamless county geodatabase for the soil survey was converted to an ARC/INFO coverage and exported as an e00 file. The digital maps of the mapping units and the special soil features were imported into ARC/INFO version 7.2.1 for review and certification. MIDU staff checked the data with a set of ARC Macro Language (AML) programs developed by the NRCS National Cartography and Geospatial Center (NCGC). The seamless coverages were processed using the January 2006 SSURGO evaluation AMLs. These programs identified areas within the coverages that needed revision. The data were edited. MIDU staff downloaded the tabular data from the Soil Data Mart. The minor codes in the soils coverages were replaced with the map unit key codes to link the map units in the spatial data to the NASIS database. Upon successful completion of the SSURGO evaluation, the area symbol was added to each feature in the soil survey coverages with the att_check.aml program. The county coverages, feature file and the metadata were electronically transferred to the NRCS Staging Server to be joined with the tabular data. Source_Used_Citation_Abbreviation: NASIS, NRCS4, NRCS5 Process_Date: 2007 Process_Step: Process_Description: The spatial data were downloaded from the Soil Data Mart. The data were edited in ARCGIS 9.2 to eliminate gaps and overlaps larger than 0.1 meters between this survey area and the adjacent SSURGO surveys. In ArcInfo, the data were generalized to reduce vertex density for the purpose of reducing the overall file size. During this process measures were taken to insure the line quality was not degraded. The data were checked with the SSURGO evaluation AMLs provided by U.S. Department of Agriculture, Natural Resources Conservation Service, National Cartography and Geospatial Center for accuracy and completeness. The certified data were uploaded to the Soil Data Mart for archiving and distribution. Source_Used_Citation_Abbreviation: NRCS6 Process_Date: 2009 Process_Step: Process_Description: The spatial data for Onslow County, North Carolina soil survey area were downloaded from the Soil Data Mart on October 15, 2012. The individual shapefiles were appended into a geodatabase for region 3. The data were processed in ARCGIS 10.1 using a topology object with a 0.1 meter cluster tolerance for the purpose of eliminating gaps and overlaps within the region 3 soils geodatabase. Individual soil survey area data were exported as shapefiles from the regional geodatabase. A datum transformation from NAD83 to WGS84 using the NAD_1983_To_WGS_1984_1 datum transformation method was applied to the data. The data were checked with the SSURGO Evaluation scripts provided by U.S. Department of Agriculture, Natural Resources Conservation Service. The shapefiles were uploaded to the soil data warehouse for archival and distribution. Source_Used_Citation_Abbreviation: NRCS7 Process_Date: 2013 Process_Step: Process_Description: The spatial data for the entire SSURGO database was recertified in October of 2019 to reduce storage requirements and to improve map display and geoprocessing performance. The SSURGO data is internally managed using 12 Regional Transactional Spatial Databases (RTSD) that are in an ESRI File Geodatabase format. The spatial extent of the RTSDs follow the Soil and Plant Science Division (SPSD) regional administrative boundaries. The XY coordinate system of this RTSD is USA Contiguous Albers Equal Area Conic USGS Version WKID: 102039 and has an XY storage precision of 0.001 meters. The RTSDs were recreated using a reduced storage precision of 0.1 meters to reduce the physical size of the data. The SSURGO data was also generalized by removing excess vertices, using a tolerance of 1 meter. The topology was validated at the CONUS level using a tolerance of 0.2 meters. This effort directly affects the gSSURGO and gNATSGO product since these deliverables are in a File Geodatabase format. Source_Used_Citation_Abbreviation: NRCS7 Process_Date: 2019 Process_Step: Process_Description: The Natural Resources Conservation Service State Soil Scientist or delegate, upon completion of data quality verification, determined that the tabular data should be released for official use. A selected set of map units and components in the soil survey legend was copied to a staging database, and rating values for selected interpretations were generated. The list of selected interpretations is stored in the database table named sainterp. Source_Used_Citation_Abbreviation: NASIS Process_Date: 20190916 Process_Step: Process_Description: The Natural Resources Conservation Service State Soil Scientist or delegate verified that the labels on the digitized soil map units link to map units in the tabular database, and certified the joined data sets for release to the Soil Data Warehouse. A system assigned version number and date stamp were added and the data were copied to the data warehouse. The tabular data for the map units and components were extracted from the data warehouse and reformatted into the soil data delivery data model, then stored in the Soil Data Mart. The spatial data were copied to the Soil Data Mart without change. Source_Used_Citation_Abbreviation: NASIS Process_Date: 20190916 Process_Step: Process_Description: The Natural Resources Conservation Service State Soil Scientist or delegate, upon completion of data quality verification, determined that the tabular data should be released for official use. A selected set of map units and components in the soil survey legend was copied to a staging database, and rating values for selected interpretations were generated. The list of selected interpretations is stored in the database table named sainterp. Source_Used_Citation_Abbreviation: NASIS Process_Date: 20200604 Process_Step: Process_Description: The Natural Resources Conservation Service State Soil Scientist or delegate verified that the labels on the digitized soil map units link to map units in the tabular database, and certified the joined data sets for release to the Soil Data Warehouse. A system assigned version number and date stamp were added and the data were copied to the data warehouse. The tabular data for the map units and components were extracted from the data warehouse and reformatted into the soil data delivery data model, then stored in the Soil Data Mart. The spatial data were copied to the Soil Data Mart without change. Source_Used_Citation_Abbreviation: NASIS Process_Date: 20200604 Process_Step: Process_Description: The Natural Resources Conservation Service State Soil Scientist or delegate, upon completion of data quality verification, determined that the tabular data should be released for official use. A selected set of map units and components in the soil survey legend was copied to a staging database, and rating values for selected interpretations were generated. The list of selected interpretations is stored in the database table named sainterp. Source_Used_Citation_Abbreviation: NASIS Process_Date: 20210902 Process_Step: Process_Description: The Natural Resources Conservation Service State Soil Scientist or delegate verified that the labels on the digitized soil map units link to map units in the tabular database, and certified the joined data sets for release to the Soil Data Warehouse. A system assigned version number and date stamp were added and the data were copied to the data warehouse. The tabular data for the map units and components were extracted from the data warehouse and reformatted into the soil data delivery data model, then stored in the Soil Data Mart. The spatial data were copied to the Soil Data Mart without change. Source_Used_Citation_Abbreviation: NASIS Process_Date: 20210902 Process_Step: Process_Description: The Natural Resources Conservation Service State Soil Scientist or delegate, upon completion of data quality verification, determined that the tabular data should be released for official use. A selected set of map units and components in the soil survey legend was copied to a staging database, and rating values for selected interpretations were generated. The list of selected interpretations is stored in the database table named sainterp. Source_Used_Citation_Abbreviation: NASIS Process_Date: 20220121 Process_Step: Process_Description: The Natural Resources Conservation Service State Soil Scientist or delegate verified that the labels on the digitized soil map units link to map units in the tabular database, and certified the joined data sets for release to the Soil Data Warehouse. A system assigned version number and date stamp were added and the data were copied to the data warehouse. The tabular data for the map units and components were extracted from the data warehouse and reformatted into the soil data delivery data model, then stored in the Soil Data Mart. The spatial data were copied to the Soil Data Mart without change. Source_Used_Citation_Abbreviation: NASIS Process_Date: 20220121 Process_Step: Process_Description: The Natural Resources Conservation Service State Soil Scientist or delegate, upon completion of data quality verification, determined that the tabular data should be released for official use. A selected set of map units and components in the soil survey legend was copied to a staging database, and rating values for selected interpretations were generated. The list of selected interpretations is stored in the database table named sainterp. Source_Used_Citation_Abbreviation: NASIS Process_Date: 20220912 Process_Step: Process_Description: The Natural Resources Conservation Service State Soil Scientist or delegate verified that the labels on the digitized soil map units link to map units in the tabular database, and certified the joined data sets for release to the Soil Data Warehouse. A system assigned version number and date stamp were added and the data were copied to the data warehouse. The tabular data for the map units and components were extracted from the data warehouse and reformatted into the soil data delivery data model, then stored in the Soil Data Mart. The spatial data were copied to the Soil Data Mart without change. Source_Used_Citation_Abbreviation: NASIS Process_Date: 20220912 Process_Step: Process_Description: The Natural Resources Conservation Service State Soil Scientist or delegate, upon completion of data quality verification, determined that the tabular data should be released for official use. A selected set of map units and components in the soil survey legend was copied to a staging database, and rating values for selected interpretations were generated. The list of selected interpretations is stored in the database table named sainterp. Source_Used_Citation_Abbreviation: NASIS Process_Date: 20230913 Process_Step: Process_Description: The Natural Resources Conservation Service State Soil Scientist or delegate verified that the labels on the digitized soil map units link to map units in the tabular database, and certified the joined data sets for release to the Soil Data Warehouse. A system assigned version number and date stamp were added and the data were copied to the data warehouse. The tabular data for the map units and components were extracted from the data warehouse and reformatted into the soil data delivery data model, then stored in the Soil Data Mart. The spatial data were copied to the Soil Data Mart without change. Source_Used_Citation_Abbreviation: NASIS Process_Date: 20230913Spatial_Data_Organization_Information: Direct_Spatial_Reference_Method: VectorSpatial_Reference_Information: Horizontal_Coordinate_System_Definition: Geographic: Latitude_Resolution: 0.000001 Longitude_Resolution: 0.0000001 Geographic_Coordinate_Units: decimal degrees Geodetic_Model: Horizontal_Datum_Name: World Geodetic System 1984 Ellipsoid_Name: World Geodetic System 1984 Semi-major_Axis: 6378137.00000 Denominator_of_Flattening_Ratio: 298.257222Entity_and_Attribute_Information: Detailed_Description: Entity_Type: Entity_Type_Label: Special Soil Features Entity_Type_Definition: Special Soil Features represent soil, miscellaneous area, or landform features that are too small to be digitized as soil delineations (area features). Entity_Type_Definition_Source: Agricultural Handbook 18, Soil Survey Manual, 1993, USDA, SCS. Attribute: Attribute_Label: Special Soil Features Codes Attribute_Definition: Special Soil Features labels represent specific Special Soil Features. These features are identified with a descriptive label. The label is assigned to the point or line assigned to represent the feature on maps. Attribute_Definition_Source: Agricultural Handbook 18, Soil Survey Manual, 1993, USDA, SCS; National Soil Survey Handbook, Title 430-VI, part 647 (current issue), USDA, NRCS. Attribute_Domain_Values: Codeset_Domain: Codeset_Name: Classification and Correlation of the Soils of Onslow County, North Carolina Codeset_Source: U.S. Department of Agriculture, Natural Resources Conservation Service Overview_Description: Entity_and_Attribute_Overview: Map Unit Delineations are closed polygons that may be dominated by a single soil or miscellaneous area component plus allowable similar or dissimilar soils, or they can be geographic mixtures of groups of soils or soils and miscellaneous areas. The map unit symbol uniquely identifies each closed map unit delineation. Each symbol corresponds to a map unit name. The map unit key is used to link to information in the National Soil Information System tables. Map Unit Delineations are described by the National Soil Information System database. This attribute database gives the proportionate extent of the component soils and the properties for each soil. The database contains both estimated and measured data on the physical and chemical soil properties and soil interpretations for engineering, water management, recreation, agronomic, woodland, range, and wildlife uses of the soil. The National Soil Information System database contains static metadata. It documents the data structure and includes such information as what tables, columns, indexes, and relationships are defined as well as a variety of attributes of each of these database objects. Attributes include table and column descriptions and detailed domain information. The National Soil Information System database also contains a distribution metadata. It records the criteria used for selecting map units and components for inclusion in the set of distributed data. Special features are described in the feature table. It includes an area symbol, feature label, feature name, and feature description for each special and ad hoc feature in the survey area. Entity_and_Attribute_Detail_Citation: Soil Taxonomy: A basic system of soil classification for making and interpreting soil surveys. Agricultural Handbook 436, 1999, USDA, SCS. Keys to Soil Taxonomy (current issue), USDA, SCS. National Soil Survey Handbook, Title 430-VI, part 647 (current issue), USDA, NRCS. Agricultural Handbook 18, Soil Survey Manual, 1993, USDA, SCS.Distribution_Information: Distributor: Contact_Information: Contact_Organization_Primary: Contact_Organization: U.S. Department of Agriculture, Natural Resources Conservation Service, National Geospatial Center of Excellence Contact_Address: Address_Type: mailing and physical address Address: 501 West Felix Street, Building 23 City: Fort Worth State_or_Province: Texas Postal_Code: 76115 Contact_Voice_Telephone: 800 672 5559 Contact_TDD/TTY_Telephone: 202 720 2600 Contact_Facsimile_Telephone: 817 509 3469 Resource_Description: Onslow County, North Carolina SSURGO Distribution_Liability: Although these data have been processed successfully on a computer system at the U.S. Department of Agriculture, no warranty expressed or implied is made by the Agency regarding the utility of the data on any other system, nor shall the act of distribution constitute any such warranty. The U.S. Department of Agriculture will warrant the delivery of this product in computer readable format, and will offer appropriate adjustment of credit when the product is determined unreadable by correctly adjusted computer input peripherals, or when the physical medium is delivered in damaged condition. Request for adjustment of credit must be made within 90 days from the date of this shipment from the ordering site. The U.S. Department of Agriculture, nor any of its agencies are liable for misuse of the data, for damage, for transmission of viruses, or for computer contamination through the distribution of these data sets. The U.S. Department of Agriculture (USDA) prohibits discrimination in all its programs and activities on the basis of race, color, national origin, sex, religion, age, disability, political beliefs, sexual orientation, or marital or family status. (Not all prohibited bases apply to all programs.) Standard_Order_Process: Digital_Form: Digital_Transfer_Information: Format_Name: ESRI shapefile Format_Information_Content: spatial Transfer_Size: 15.2 Digital_Transfer_Option: Online_Option: Computer_Contact_Information: Network_Address: Network_Resource_Name: URL:http://DataGateway.nrcs.usda.gov/ Access_Instructions: Select desired survey area at above Internet Web site. An email address is required for receipt of instructions on retrieval via anonymous FTP. Anticipate a delay between submission of request at Web site and receipt of email message. Fees: There is currently no direct charge for requesting data or for retrieval via FTP. Ordering_Instructions: Visit the above mentioned Internet Web Site, select state or territory, then select individual soil survey area of interest. Spatial line data and locations of special feature symbols are in ESRI ArcGIS shapefile, format. The National Soil Information System attribute soil data are available in variable length, pipe delimited, ASCII file format. Turnaround: Typically within four hoursMetadata_Reference_Information: Metadata_Date: 20230919 Metadata_Contact: Contact_Information: Contact_Organization_Primary: Contact_Organization: U.S. Department of Agriculture, Natural Resources Conservation Service Contact_Position: State Soil Scientist Contact_Address: Address_Type: mailing address Address: 4407 Bland Road, Suite 117 City: Raleigh State_or_Province: NC Postal_Code: 27609 Contact_Voice_Telephone: 919-873-2171 Contact_Electronic_Mail_Address: michael.jones3@usda.gov Metadata_Standard_Name: Content Standard for Digital Geospatial Metadata Metadata_Standard_Version: FGDC-STD-001-1998

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Layer: Zoning (City of Jacksonville) (33)

Parent Layer: Zoning & Land Use

Name: Zoning (City of Jacksonville)

Display Field: HTE_CODE

Type: Feature Layer

Geometry Type: esriGeometryPolygon

Description:

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Copyright Text:

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Spatial Reference: 102100  (3857)  LatestVCSWkid(0)



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Field 3: N/A
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