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Layer: Construction Supplies (0)

Name: Construction Supplies

Display Field: Name

Type: Feature Layer

Geometry Type: esriGeometryPoint

Description: South Carolina Building Supply Stores

Copyright Text:

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MaxRecordCount: 2000

Supported Query Formats: JSON, geoJSON, PBF

Min Scale: 0

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Supports Statistics: true

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• Value: Home Depot
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• Value: Lowes
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• Address ( type: esriFieldTypeString, alias: Address, length: 254 )
• City ( type: esriFieldTypeString, alias: City, length: 254 )
• State ( type: esriFieldTypeString, alias: State, length: 254 )
• Zip ( type: esriFieldTypeDouble, alias: Zip )
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Layer: Funeral Homes (1)

Name: Funeral Homes

Display Field: Name

Type: Feature Layer

Geometry Type: esriGeometryPoint

Description: Funeral Homes data contains licensed funeral homes in South Carolina.

Copyright Text:

Default Visibility: false

MaxRecordCount: 2000

Supported Query Formats: JSON, geoJSON, PBF

Min Scale: 0

Max Scale: 0

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Supports Statistics: true

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• City ( type: esriFieldTypeString, alias: City, length: 254 )
• State ( type: esriFieldTypeString, alias: State, length: 254 )
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Layer: Large Employers 200+ (2)

Name: Large Employers 200+

Display Field: Name

Type: Feature Layer

Geometry Type: esriGeometryPoint

Description:

Copyright Text:

Default Visibility: false

MaxRecordCount: 2000

Supported Query Formats: JSON, geoJSON, PBF

Min Scale: 0

Max Scale: 0

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Supports Statistics: true

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• Employees ( type: esriFieldTypeDouble, alias: Employees )
• Phone ( type: esriFieldTypeString, alias: Phone, length: 255 )
• Contact ( type: esriFieldTypeString, alias: Contact, length: 255 )
• Street ( type: esriFieldTypeString, alias: Street, length: 255 )
• City ( type: esriFieldTypeString, alias: City, length: 255 )
• Zip ( type: esriFieldTypeDouble, alias: Zip )
• County ( type: esriFieldTypeString, alias: County, length: 255 )
• Latitude ( type: esriFieldTypeDouble, alias: Latitude )
• Longitude ( type: esriFieldTypeDouble, alias: Longitude )
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Layer: Pharmacies (3)

Name: Pharmacies

Display Field: NAME

Type: Feature Layer

Geometry Type: esriGeometryPoint

Description: Data provided by CVS and Walgreens to SCEMD in 2016.

Copyright Text:

Default Visibility: false

MaxRecordCount: 2000

Supported Query Formats: JSON, geoJSON, PBF

Min Scale: 0

Max Scale: 0

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Supports Statistics: true

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Type ID Field: null

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• NAME ( type: esriFieldTypeString, alias: Name, length: 255 )
• TELEPHONE ( type: esriFieldTypeString, alias: Telephone, length: 255 )
• ADDRESS ( type: esriFieldTypeString, alias: Address, length: 255 )
• ADDRESS2 ( type: esriFieldTypeString, alias: Address 2, length: 255 )
• CITY ( type: esriFieldTypeString, alias: City, length: 255 )
• STATE ( type: esriFieldTypeString, alias: State, length: 255 )
• ZIP ( type: esriFieldTypeDouble, alias: Zip )
• ZIPP4 ( type: esriFieldTypeDouble, alias: Zip + 4 )
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Layer: Public Refrigerated Warehouses (4)

Name: Public Refrigerated Warehouses

Display Field: Facility

Type: Feature Layer

Geometry Type: esriGeometryPoint

Description:

Copyright Text:

Default Visibility: false

MaxRecordCount: 2000

Supported Query Formats: JSON, geoJSON, PBF

Min Scale: 0

Max Scale: 0

Supports Advanced Queries: true

Supports Statistics: true

Has Labels: false

Can Modify Layer: true

Can Scale Symbols: false

Use Standardized Queries: true

Supports Datum Transformation: true

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Supports Query With ResultType: false
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Supports Query With LOD Spatial Reference: false


HasZ: false

HasM: false

Has Attachments: false

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Type ID Field: null

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• Address1 ( type: esriFieldTypeString, alias: Address 1, length: 255 )
• Address2 ( type: esriFieldTypeString, alias: Address 2, length: 255 )
• Volume ( type: esriFieldTypeDouble, alias: Volume )
• City ( type: esriFieldTypeString, alias: City, length: 50 )
• State ( type: esriFieldTypeString, alias: State, length: 10 )
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• Longitude ( type: esriFieldTypeDouble, alias: Longitude )
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Layer: Restaurants (5)

Name: Restaurants

Display Field: ZIPCODE

Type: Feature Layer

Geometry Type: esriGeometryPoint

Description: Thousands of retail food establishments (facilities) in South Carolina are permitted and inspected by the Division of Food Protection in order to protect the public from foodborne diseases and illnesses. The retail food establishments include a wide variety of food industries such as restaurants, delicatessens, school cafeterias, grocery stores, retail meat markets, bakeries and seafood markets. State regulations governing retail food establishments require that each permitted establishment be inspected at least once per year. The statewide average routine inspection rate is between two and three per year. Grades (A, B, or C) are posted on the SC DHEC's Food Safety Inspection sticker at each permitted establishment after each unannounced routine inspection. Grades reflect the sanitation level of a establishment at the time of inspection: Grade A indicating very good to acceptable levels of sanitation, Grade B acceptable to marginal levels of sanitation, and Grade C poor to marginal levels of sanitation. This data provides the names, address, grade, and spatial location of retail food establishments with permits from SC DHEC.

Copyright Text: James Hibbert at the University of South Carolina provided data of 980 restaurant points. Of them, there are 870 restaurants that were collected via a Timble Juno ST handheld unit and ArcPad without WAAS differential correction. The horizontal accuracy of these 870 points are 2-5 meter at best. The coordinates of the GPS-located points (not all 870 GPS-located restaurants) were used to update those points in the feature class in our SDE geodatabase.

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MaxRecordCount: 2000

Supported Query Formats: JSON, geoJSON, PBF

Min Scale: 0

Max Scale: 0

Supports Advanced Queries: true

Supports Statistics: true

Has Labels: false

Can Modify Layer: true

Can Scale Symbols: false

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Type ID Field: null

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• PERMIT_ID ( type: esriFieldTypeString, alias: Permit ID, length: 20 )
• FACILITY ( type: esriFieldTypeString, alias: Facility, length: 150 )
• ADDRESS ( type: esriFieldTypeString, alias: Address, length: 150 )
• CITY ( type: esriFieldTypeString, alias: City, length: 30 )
• STATE ( type: esriFieldTypeString, alias: State, length: 15 )
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Layer: Shipping Locations (6)

Name: Shipping Locations

Display Field: NAME

Type: Feature Layer

Geometry Type: esriGeometryPoint

Description:

Copyright Text:

Default Visibility: false

MaxRecordCount: 2000

Supported Query Formats: JSON, geoJSON, PBF

Min Scale: 0

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Supports Statistics: true

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  Label: ABF Freight System
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  Label: CON-WAY Freight
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• TYPE_ ( type: esriFieldTypeString, alias: Type, length: 255 )
• ADDRESS ( type: esriFieldTypeString, alias: Address, length: 255 )
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Layer: Sports Venues (7)

Name: Sports Venues

Display Field: NAME

Type: Feature Layer

Geometry Type: esriGeometryPoint

Description:

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Default Visibility: false

MaxRecordCount: 2000

Supported Query Formats: JSON, geoJSON, PBF

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• ADDRESS ( type: esriFieldTypeString, alias: Address, length: 80 )
• CITY ( type: esriFieldTypeString, alias: City, length: 80 )
• STATE ( type: esriFieldTypeString, alias: State, length: 80 )
• ZIP ( type: esriFieldTypeString, alias: Zip, length: 80 )
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Layer: ETV Microwave Locations (8)

Name: ETV Microwave Locations

Display Field: Location

Type: Feature Layer

Geometry Type: esriGeometryPoint

Description: Updated periodically by SCEMD Comms.

Copyright Text:

Default Visibility: false

MaxRecordCount: 2000

Supported Query Formats: JSON, geoJSON, PBF

Min Scale: 0

Max Scale: 0

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Supports Statistics: true

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• Site ( type: esriFieldTypeString, alias: Site, length: 255 )
• Lat_Y ( type: esriFieldTypeDouble, alias: Latitude )
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Layer: LGR Towers (9)

Name: LGR Towers

Display Field: Tower_Name

Type: Feature Layer

Geometry Type: esriGeometryPoint

Description: Updated periodically by SCEMD Comms.

Copyright Text:

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MaxRecordCount: 2000

Supported Query Formats: JSON, geoJSON, PBF

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• Repeater_Freq_UHF ( type: esriFieldTypeString, alias: Repeater Freq UHF, length: 255 )
• LGR_Frequencies ( type: esriFieldTypeString, alias: LGR Frequencies, length: 255 )
• Gate_Code ( type: esriFieldTypeDouble, alias: Gate Code )
• Door_Code ( type: esriFieldTypeString, alias: Door Code, length: 255 )
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Layer: County EOC (12)

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Description: Locations of county EOCs. To be used for Emergency Management Planning. Updated as new data becomes available.2018

Copyright Text: County Data

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Layer: Fire Departments (14)

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Layer: Fish and Wildlife (15)

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Description: This dataset consists of law enforcement office locations for the U.S. Fish and Wildlife Service (FWS). The FWS Office of Law Enforcement (OLE) efforts focus on threats to wildlife resource-illegal trade, unlawful commercial exploitation, habitat destruction, and environmental contaminants. The Law Enforcement Division of the FWS investigates wildlife crimes, regulates wildlife trade, and works in partnership with international, state, and tribal counterparts to conserve wildlife resources. Business functions include: Protecting wildlife from environmental hazards and safeguarding critical habitat for endangered species; protecting game species from illegal take and preserving legitimate hunting opportunities; inspecting wildlife shipments to ensure compliance with laws and treaties and detect illegal trade; working with international counterparts to combat illegal trafficking in protected species; and using forensic science to analyze evidence and solve wildlife crimes. The Division includes 252 special agents and 93 wildlife inspectors.

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Layer: Highway Patrol (16)

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Description: Law Enforcement Locations in the United States Any location where sworn officers of a law enforcement agency are regularly based or stationed. Law Enforcement agencies "are publicly funded and employ at least one full-time or part-time sworn officer with general arrest powers". This is the definition used by the US Department of Justice - Bureau of Justice Statistics (DOJ-BJS) for their Law Enforcement Management and Administrative Statistics (LEMAS) survey. Although LEMAS only includes non Federal Agencies, this dataset includes locations for federal, state, local, and special jurisdiction law enforcement agencies. Law enforcement agencies include, but are not limited to, municipal police, county sheriffs, state police, school police, park police, railroad police, federal law enforcement agencies, departments within non law enforcement federal agencies charged with law enforcement (e.g., US Postal Inspectors), and cross jurisdictional authorities (e.g., Port Authority Police). In general, the requirements and training for becoming a sworn law enforcement officer are set by each state. Law Enforcement agencies themselves are not chartered or licensed by their state. County, city, and other government authorities within each state are usually empowered by their state law to setup or disband Law Enforcement agencies. Generally, sworn Law Enforcement officers must report which agency they are employed by to the state. Although TGS's intention is to only include locations associated with agencies that meet the above definition, TGS has discovered a few locations that are associated with agencies that are not publicly funded. TGS deleted these locations as we became aware of them, but some may still exist in this dataset. Personal homes, administrative offices, and temporary locations are intended to be excluded from this dataset; however, some personal homes of constables are included due to the fact that many constables work out of their homes. This also applies to mounted police in New Mexico. TGS has made a concerted effort to include all local police; county sheriffs; state police and/or highway patrol; Bureau of Indian Affairs; Bureau of Land Management; Bureau of Reclamation; U.S. Park Police; Bureau of Alcohol, Tobacco, Firearms, and Explosives; U.S. Marshals Service; U.S. Fish and Wildlife Service; National Park Service; U.S. Immigration and Customs Enforcement; and U.S. Customs and Border Protection in the United States and its territories. This dataset is comprised completely of license free data. At the request of NGA, FBI entities are intended to be excluded from this dataset, but a few may be included. The HSIP Freedom Law Enforcement dataset and the HSIP Freedom Correctional Institutions dataset were merged into one working file. TGS processed as one file and then separated for delivery purposes. Please see the process description for the breakdown of how the records were merged. With the merge of the Law Enforcement and the Correctional Institutions datasets, the HSIP Themes and NAICS Codes & Descriptions were assigned based on the facility's main function which was determined by the entity's name, facility type, web research, and state supplied data. In instances where the entity's primary function is both law enforcement and corrections, the NAICS Codes and Descriptions are assigned based on the dataset in which the record is located (i.e., a facility that serves as both a Sheriff's Office and as a jail is designated as [NAICSDESCR]="SHERIFFS' OFFICES (EXCEPT COURT FUNCTIONS ONLY)" in the Law Enforcement layer and as [NAICSDESCR]="JAILS (EXCEPT PRIVATE OPERATION OF)" in the Correctional Institutions layer). Records with "-DOD" appended to the end of the [NAME] value are located on a military base, as defined by the Defense Installation Spatial Data Infrastructure (DISDI) military installations and military range boundaries. "#" and "*" characters were automatically removed from standard HSIP fields that TGS populated. Double spaces were replaced by single spaces in these same fields. At the request of NGA, text fields in this dataset have been set to all upper case to facilitate consistent database engine search results. At the request of NGA, all diacritics (e.g., the German umlaut or the Spanish tilde) have been replaced with their closest equivalent English character to facilitate use with database systems that may not support diacritics. The currentness of this dataset is indicated by the [CONTDATE] field. Based on the values in this field, the oldest record dates from 12/07/2004 and the newest record dates from 09/10/2009.

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Layer: Park Rangers (17)

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Description: This dataset consists of law enforcement office locations for the National Park Service (NPS). With more than 76 million acres of national parks within its purview, the U.S. National Park Service and the park rangers it employs educate and ensure the safety of the millions of visitors who hike, climb, ski, boat, fish, and explore these natural resources. The primary responsibility of the park ranger is safety.

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Layer: SCEMD (18)

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Description: An Emergency Operations Center (EOC) is the physical location at which the coordination of information and resources to support incident management (on-scene operations) activities normally takes place. An EOC may be a temporary facility or may be located in a more central or permanently established facility, perhaps at a higher level of organization within a jurisdiction. EOCs may be organized by major functional disciplines (e.g., fire, law enforcement, medical services), by jurisdiction (e.g., Federal, State, regional, tribal, city, county), or by some combination thereof. The WEBSITE attribute contains a link to Emergency Operations Center or State Emergency Management website. These links contain updated information on emergencies and points of contact. The TRAFFIC attribute contains an link to dynamic traffic information via State 511 Intelligent Traffic System (ITS) website.FEMA's Directory Information: http://www.fema.gov/state-offices-and-agencies-emergency-management

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Layer: FDIC Banks (19)

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Layer: ATF (20)

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Description: Law Enforcement Locations in the United States Any location where sworn officers of a law enforcement agency are regularly based or stationed. Law Enforcement agencies "are publicly funded and employ at least one full-time or part-time sworn officer with general arrest powers". This is the definition used by the US Department of Justice - Bureau of Justice Statistics (DOJ-BJS) for their Law Enforcement Management and Administrative Statistics (LEMAS) survey. Although LEMAS only includes non Federal Agencies, this dataset includes locations for federal, state, local, and special jurisdiction law enforcement agencies. Law enforcement agencies include, but are not limited to, municipal police, county sheriffs, state police, school police, park police, railroad police, federal law enforcement agencies, departments within non law enforcement federal agencies charged with law enforcement (e.g., US Postal Inspectors), and cross jurisdictional authorities (e.g., Port Authority Police). In general, the requirements and training for becoming a sworn law enforcement officer are set by each state. Law Enforcement agencies themselves are not chartered or licensed by their state. County, city, and other government authorities within each state are usually empowered by their state law to setup or disband Law Enforcement agencies. Generally, sworn Law Enforcement officers must report which agency they are employed by to the state. Although TGS's intention is to only include locations associated with agencies that meet the above definition, TGS has discovered a few locations that are associated with agencies that are not publicly funded. TGS deleted these locations as we became aware of them, but some may still exist in this dataset. Personal homes, administrative offices, and temporary locations are intended to be excluded from this dataset; however, some personal homes of constables are included due to the fact that many constables work out of their homes. This also applies to mounted police in New Mexico. TGS has made a concerted effort to include all local police; county sheriffs; state police and/or highway patrol; Bureau of Indian Affairs; Bureau of Land Management; Bureau of Reclamation; U.S. Park Police; Bureau of Alcohol, Tobacco, Firearms, and Explosives; U.S. Marshals Service; U.S. Fish and Wildlife Service; National Park Service; U.S. Immigration and Customs Enforcement; and U.S. Customs and Border Protection in the United States and its territories. This dataset is comprised completely of license free data. At the request of NGA, FBI entities are intended to be excluded from this dataset, but a few may be included. The HSIP Freedom Law Enforcement dataset and the HSIP Freedom Correctional Institutions dataset were merged into one working file. TGS processed as one file and then separated for delivery purposes. Please see the process description for the breakdown of how the records were merged. With the merge of the Law Enforcement and the Correctional Institutions datasets, the HSIP Themes and NAICS Codes & Descriptions were assigned based on the facility's main function which was determined by the entity's name, facility type, web research, and state supplied data. In instances where the entity's primary function is both law enforcement and corrections, the NAICS Codes and Descriptions are assigned based on the dataset in which the record is located (i.e., a facility that serves as both a Sheriff's Office and as a jail is designated as [NAICSDESCR]="SHERIFFS' OFFICES (EXCEPT COURT FUNCTIONS ONLY)" in the Law Enforcement layer and as [NAICSDESCR]="JAILS (EXCEPT PRIVATE OPERATION OF)" in the Correctional Institutions layer). Records with "-DOD" appended to the end of the [NAME] value are located on a military base, as defined by the Defense Installation Spatial Data Infrastructure (DISDI) military installations and military range boundaries. "#" and "*" characters were automatically removed from standard HSIP fields that TGS populated. Double spaces were replaced by single spaces in these same fields. At the request of NGA, text fields in this dataset have been set to all upper case to facilitate consistent database engine search results. At the request of NGA, all diacritics (e.g., the German umlaut or the Spanish tilde) have been replaced with their closest equivalent English character to facilitate use with database systems that may not support diacritics. The currentness of this dataset is indicated by the [CONTDATE] field. Based on the values in this field, the oldest record dates from 12/07/2004 and the newest record dates from 09/10/2009.

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Layer: Custons and Border Protection (21)

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Copyright Text: U.S. Customs and Border Protection Office of Field Operations, GIS Program - OFO-GIS@cbp.dhs.gov Office of Border Patrol, GIS Program

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Layer: Law Enforcement (22)

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Description: Dataset compiled by FBI Geospatial program. The addresses were compiled by the FBI Resource Planning Office and geocoded to the street address.

Copyright Text: FBI Geospatial Program

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Layer: Immigration and Customs (24)

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Description: Created in March 2003, Immigration and Customs Enforcement (ICE) is the largest investigative branch of the Department of Homeland Security (DHS). The agency was created after 9/11, by combining the law enforcement arms of the former Immigration and Naturalization Service (INS) and the former U.S. Customs Service, to more effectively enforce our immigration and customs laws and to protect the United States against terrorist attacks. ICE does this by targeting illegal immigrants: the people, money and materials that support terrorism and other criminal activities. ICE is a key component of the DHS “layered defense” approach to protecting the nation.

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Layer: Postal Inspectors (25)

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Description: This dataset contains the location of headquarters and field domicile offices, and other locations, for either the Inspection Service or the USPS-OIG.Data is a snapshot of facilities in use as of 30 Nov 2014. Data may change with functional changes. Contact Clayton Bonnell at US Postal Inpection Service (ccbonnell@uspis.gov) for updates.

Copyright Text: US Postal Service (USPS) 2014

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Layer: Secret Service (26)

Name: Secret Service

Display Field: Type

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Description: US Secret Service Website's location finder.

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Description: Data from FEMA HAZUS program Census data 2010.

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Layer: Residental Child Facility (39)

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Layer: Airports (40)

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Description: The Airports database is a geographic point database of aircraft landing facilities in the United States and U.S. Territories. Attribute data is provided on the physical and operational characteristics of the landing facility, current usage including enplanements and aircraft operations, congestion levels and usage categories. This geospatial data is derived from the FAA's National Airspace System Resource Aeronautical Data Product.

Copyright Text: The Federal Aviation Administration (FAA) develops and maintains the textual data from which this geospatial layer was derived.

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Layer: Boat Ramps (41)

Name: Boat Ramps

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Layer: Ports (42)

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Description: Contains physical information on commercial facilities at the principal U.S. Coastal, Great Lakes and Inland Ports. The data consists of listings of port area's waterfront facilities, including information on berthing, cranes, transit sheds, grain elevators, marine repair plants, fleeting areas, and docking and storage facilities. Collection of data is performed on a rotational basis to ensure on-site accuracy at each facility.

Copyright Text: The National Waterway Network was created on behalf of the Research and Innovative Technology Administration's Bureau of Transportation Statistics, the U.S. Army Corps of Engineers, the U.S. Bureau of Census, and the U.S. Coast Guard by Vanderbilt University and Oak Ridge National Laboratory. Additional agencies with input into network development include Volpe National Transportation Systems Center, Maritime Administration, Military Traffic Management Command, Tennessee Valley Authority, U.S. Environmental Protection Agency, and the Federal Railroad Administration.

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Layer: Rail Bridges (43)

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Description: Bridges-Rail in the United States According to The National Bridge Inspection Standards published in the Code of Federal Regulations (23 CFR 650.3), a bridge is: A structure including supports erected over a depression or an obstruction, such as water, highway, or railway, and having a track or passageway for carrying traffic or other moving loads. Each bridge was captured as a point which was placed in the center of the "main span" (highest and longest span). For bridges that cross navigable waterways, this was typically the part of the bridge over the navigation channel. If no "main span" was discernable using the imagery sources available, or if multiple non contiguous main spans were discernable, the point was placed in the center of the overall structure. Bridges that are sourced from the National Bridge Inventory (NBI) that cross state boundaries are an exception. Bridges that cross state boundaries are represented in the NBI by two records. The points for the two records have been located so as to be within the state indicated by the NBI's [STATE_CODE] attribute. In some cases, following these rules did not place the point at the location at which the bridge crosses what the user may judge as the most important feature intersected. For example, a given bridge may be many miles long, crossing nothing more than low lying ground for most of its length but crossing a major interstate at its far end. Due to the fact that bridges are often high narrow structures crossing depressions that may or may not be too narrow to be represented in the DEM used to orthorectify a given source of imagery, alignment with ortho imagery is highly variable. In particular, apparent bridge location in ortho imagery is highly dependent on collection angle. During verification, TechniGraphics used imagery from the following sources: NGA HSIP 133 City, State or Local; NAIP; DOQQ imagery. In cases where "bridge sway" or "tall structure lean" was evident, TGS attempted to compensate for these factors when capturing the bridge location. For instances in which the bridge was not visible in imagery, it was captured using topographic maps at the intersection of the water and rail line. TGS processed 784 entities previously with the HSIP Bridges-Roads (STRAHNET Option - HSIP 133 Cities and Gulf Coast). These entities were added into this dataset after processing. No entities were included in this dataset for American Samoa, Guam, Hawaii, the Commonwealth of the Northern Mariana Islands, or the Virgin Islands because there are no main line railways in these areas. At the request of NGA, text fields in this dataset have been set to all upper case to facilitate consistent database engine search results. At the request of NGA, leading and trailing spaces were trimmed from all text fields. At the request of NGA, all diacritics (e.g., the German umlaut or the Spanish tilde) have been replaced with their closest equivalent English character to facilitate use with database systems that may not support diacritics. The currentness of this dataset is given by the publication date which is 09/02/2009. A more precise measure of currentness cannot be provided since this is dependent on the NBI and the source of imagery used during processing.

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Layer: Rail Yards (44)

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Description: The Department of Transportation (DOT) Federal Rail Administration (FRA) Railroad Yards contains detailed attributes on railroad yards located throughout the United States. The yard locations and names, along with the current owner, have been updated by Oak Ridge National Laboratory Geographic Information Sciences and Technology Group (ORNL-GIST) as of 2015. Existing yards that were not in the original dataset have been added, yards that have been removed from service have been retained in the dataset and their status noted in the COMMENTS field. The owning railroad is identified by railroad reporting mark. This can be cross-referenced to the complete railroad owner name in the Railroads table. This product is a completed deliverable. No rail yard data exist for the state of Hawaii nor in the territories of American Samoa, Guam, Northern Mariana Islands and the US Virgin Islands. The only attribute fields being updated are ALPHACDE, STATE, AARCODE, FACNAME, COUNTY_NAME, COUNTRY, and COMMENTS.

Copyright Text: Federal Railroad Administration, Oak Ridge National Laboratory

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