This dataset is GIS data representing waypoints and routes in the Mawson area, Antarctica. It includes routes in the Framnes Mountains and routes west and east of Mawson along the Mawson Coast.

The waypoint and route data held by the Australian Antarctic Data Centre are routinely updated using feedback provided by the Australian Antarctic Division's Field Training Officers and Station Leaders with approval for changes given by the Australian Antarctic Division's Field Support Coordinator.

Pierce Transit bus route polylines throughout the Public Transportation Benefit Area (PTBA) and surrounding area. Created from GTFS route digitization, minor location modification to align with street network, and addition of appropriate website hyperlink. Any data download constitutes acceptance of the Terms of Use.

The National Census of Ferry Operators (NCFO) Routes dataset was collected through December 31, 2020 and compiled on October 16, 2024 from the Bureau of Transportation Statistics (BTS) and is part of the U.S. Department of Transportation (USDOT)/Bureau of Transportation Statistics (BTS) National Transportation Atlas Database (NTAD). The Ferry Routes dataset represents all ferry routes from operators that provided responses to the 2020 National Census of Ferry Operators. Areas covered by the dataset include the 50 states as well as the territories of Puerto Rico, the United States Virgin Island, and American Samoa. Each segment in the dataset connects to two terminals from the Ferry Terminals dataset, describing the route ferries travel between them. Route geometries were determined using GPS points from Automatic Identification System data, as well existing government datasets from the Census Bureau, the US Geological Survey, the National Oceanic and Atmospheric Association, and the US Army Corps of Engineers. Other routes were determined using least-cost analysis.

This feature class consists of approximately 195,000 features representing over 70,000 miles of Interstate, Primary, Secondary and Urban roads throughout the State of Virginia. The Linear Referencing System is based on the Virginia Department of Transportation's Source System of Record for road inventory, Roadway Inventory Management System (RIMS). Geometry and Attribution: The Linear Referencing System (LRS) data contained within this feature class provides dissolved route segmentation (i.e. routes are not segmented when they intersect other routes), thus rendering one table record per route. Multi-part geometry is created where routes are noncontiguous (e.g. a valid physical gap exists because another route is the master). The feature class only depicts master routes, those are routes built in the prime direction and on divided roadways where the non-prime direction is the master. Each road centerline record has a master route record assigned. Measures: The linear reference is based on Official State Mileage (OSM) as derived from reference points at Roadway Inventory Management System (RIMS) roadway intersections (i.e. nodes/junctions). Purpose: This linear referenced data layer represents roadways that are maintained by the Virginia Department of Transportation and provides the underlying spatially enabled geometric network to which all "events" (e.g. potholes, pavement type, vehicle accidents, traffic counts, culverts, etc...) can be located. Note: The overlap and non-prime measures are for reference only and have not been fully validated for accuracy or completeness.

This data set shows the centerlines of all public and some private roads within the state of Minnesota. Segments of pavement may have only one route or muitple routes traveling over them. One route will always be idenflied as primary and all attributes of these roadways signed to it. Other routes sharing the same pavement will be consisted co-incident or secendary and will not be a signed roadway attributes.

State highways are divided into segments called control sections for record keeping, maintenance, construction, and other administrative purposes. The four-digit control section number is composed of the two-number county code and an identifying two-digit number within that county. Control sections are revised due to jurisdictional transfers (typically from state to county) when new highway segments or entirely new state highways are built.

Routes State AID represent road centerlines for all state aid routes within the state of Minnesota.

Check other metadata records in this package for more information on routes centerlines.


Links to ESRI Feature Services:

Coincident Routes in Minnesota: Coincident Routes

MnDOT Control Sections: MnDOT Control Sections

MnDOT Roadway Routes in Minnesota: MnDOT Roadway Routes

Primary Routes in Minnesota: Primary Routes

State Aid Routes in Minnesota: State Aid Routes

Trunk Highways in Minnesota: Trunk Highways

It is derived from the Connecticut Route Segments layer, which is based on spatial information from the U.S. Bureau of Census that was published for Connecticut by the University of Connecticut, Center for Geographic Information and Analysis. The spatial information (line feature geometry) from the U.S. Bueau of Census was compiled for the year 2000 and used to create a continuous line feature for each interstate highway and route shown on the State Tourism Map 2002-2003 published by the Connecticut Department of Transportation. The Connecticut Routes layer does not include local roads, highway entrance and exit ramps, highway rest areas, exit numbers, house address, traffic direction, or traffic volume information. Features are linear and represent divided and undivided route centerlines mapped at 1:100,000 scale (1 inch = 1.578 mile).

Provide compiled GTFS schedule data in geospatial format. Transit routes associates route information to shapes. Transit stops associates aggregated stop times and route information for each stop.

Regional Evacuation Routes. This dataset contains contains points representing locations of Regional Evacuation Routes, created as part of the DC Geographic Information System (DC GIS) for the D.C. Office of the Chief Technology Officer (OCTO) and participating D.C. government agencies. Files provided by the District Department of Transportation contained DC, beltway, and regional evacuation routes. OCTO merged these layers together to form one layer.

Data has been obtained from the National Transportation Database and the National Transit Maphttps://geodata.bts.gov/datasets/80086198b67c456194b064ba21b82326_0/explore?location=38.641901%2C-121.401551%2C12.71https://www.transit.dot.gov/ntd/ntd-dataSACOG provides data as a public service. These data are provided "as-is." While every effort has been made to ensure the accuracy or correctness of these data, SACOG makes no warranty, expressed or implied, as to its accuracy or correctness and expressly disclaims liability for the accuracy thereof. In no event shall SACOG become liable to users of these data, or any other party, for any loss or damages, consequential or otherwise, including but not limited to time, money, or goodwill, arising from the use, operation or modification of the data. In using these data, users further agree to indemnify, defend, and hold harmless SACOG for any and all liability of any nature arising out of or resulting from the lack of accuracy or correctness of the data, or the use of the data. Users will not distribute these data to other potential users. Instead, they will refer those users to SACOG for an independent dataset and documentation. To assist SACOG in the maintenance of the data, users should provide SACOG's GIS staff information concerning errors or discrepancies found in using the data.

The FDOT GIS Interstates feature class provides spatial information on Florida Interstate highways. The interstate and US route numbers are assigned by the Federal American Association of State Highway and Transportation Officials (AASHTO) usually following recommendations by the each state department. Both interstate and US routes are coded under the USROUTE characteristic. Interstate numbers are assigned with even numbers for west to east routes and odd numbers for routes going south to north, starting with the lowest number in the lowest part of the nation and progressing higher nationwide. US route numbers are assigned with odd numbers for north and south routes with the low number beginning in the east and progressing higher toward the west. This numbering practice is used across all states for all interstates and US routes for the public traveling purposes. This information is required for roadways functionally classified as principal, minor arterials that have US route designations, and all Active Exclusive roads that are associated with Interstate and the US route. This dataset is maintained by the Transportation Data & Analytics office (TDA). The source spatial data for this hosted feature layer was created on: 11/08/2025.For more details please review the FDOT RCI Handbook Download Data: Enter Guest as Username to download the source shapefile from here: https://ftp.fdot.gov/file/d/FTP/FDOT/co/planning/transtat/gis/shapefiles/interstates.zip

This repository is the dataset of the related paper "Shortest Route Analysis of Dhaka City Roads Using Various GIS Techniques". The data presented here are collected and gathered together from several separate locations. All the probable original sources of the dataset are open-source or free to distribute licensed. The dataset has the following items: 1. Road network of Dhaka city. 2. Bus Route network of Dhaka city. 3. Future metro Route network of Dhaka city. 4. All the bus stands in Bangladesh. 5. All planned metro station in Dhaka city. 6. The output of some sample random two points shortest or cheapest path from the related paper.

The Transit Routes layer contains all fixed routes serving the Twin Cities regional metropolitan area. One shape and one corresponding record exists for each individual transit route.

The line work for the dataset was derived from MRCC Street Centerlines and NCompass Centerlines for Sherburne and Wright County areas. A small number of line segments have been added to completely depict the network traveled by fixed-route transit vehicles.

This dataset is GIS data representing waypoints and routes in the area of the Windmill Islands, Antarctica. The waypoint and route data held by the Australian Antarctic Data Centre is updated after …Show full descriptionThis dataset is GIS data representing waypoints and routes in the area of the Windmill Islands, Antarctica. The waypoint and route data held by the Australian Antarctic Data Centre is updated after each summer season using feedback provided by the Australian Antarctic Division's Field Training Officers with approval for changes given by the Australian Antarctic Division's Field Support Coordinator.

Esri ArcGIS Online (AGOL) Hosted Feature Layer for accessing the MDOT SHA Roadway Routes data product.MDOT SHA Roadway Routes data consists of linear geometric features which represent the geographic extent of roadways throughout the State of Maryland. MDOT SHA Roadway Routes data includes geometry which is based on unique Route ID and is calibrated with Measured Values (M-Values) for linear referencing. MDOT SHA Roadway Routes data is owned & maintained by the MDOT SHA Office of Planning & Preliminary Engineering (OPPE). MDOT SHA Roadway Routes data is updated & published on an Annual basis for the prior year. This data is for year 2022.For more information related to the data, contact MDOT SHA OPPE Data Services Division (DSD):Email: DSD@mdot.maryland.govFor more information, contact MDOT SHA OIT Enterprise Information Services:Email: GIS@mdot.maryland.gov

The April 2014 update was accomplished by viewing CCRTA on-line schedules and maps. http://www.capecodtransit.org/ These routes may not show all the possible routes that a bus may take, especially in the case of emergency traffic detours, but represents the general destinations served by the named bus line.Streets were selected from a MassDOT roadway inventory file, or digitized along such street centerlines, and given attributes with the name of the bus route, or the name of the bus company that travels along the route. The routes are limited to year round fixed route bus service. Updated in October 2013 based upon on-line maps from the CCRTA.

Routes in the area of the Vestfold Hills, Antarctica. This layer is stored as two datasets (point and line) in the Geographical Information System (GIS). Point data represents waypoints. Line data …Show full descriptionRoutes in the area of the Vestfold Hills, Antarctica. This layer is stored as two datasets (point and line) in the Geographical Information System (GIS). Point data represents waypoints. Line data represents routes.

This data is created and maintained by MARTA, not the City of Atlanta. The most up-to-date GTFS data can always be found at https://www.itsmarta.com/app-developer-resources.aspx This layer contains information on:route_idroute_long_name (Blue line, Green, etc)route_type_text (Subway, Bus, etc)This data can be used to display transit routes or can be used in conjunction with a Network Dataset for more advanced analysis.

Feature layer containing authoritative snow route lines for Sioux Falls, South Dakota.

The Geopspatial Fabric provides a consistent, documented, and topologically connected set of spatial features that create an abstracted stream/basin network of features useful for hydrologic modeling.The GIS vector features contained in this Geospatial Fabric (GF) data set cover the lower 48 U.S. states, Hawaii, and Puerto Rico. Four GIS feature classes are provided for each Region: 1) the Region outline ("one"), 2) Points of Interest ("POIs"), 3) a routing network ("nsegment"), and 4) Hydrologic Response Units ("nhru"). A graphic showing the boundaries for all Regions is provided at http://dx.doi.org/doi:10.5066/F7542KMD. These Regions are identical to those used to organize the NHDPlus v.1 dataset (US EPA and US Geological Survey, 2005). Although the GF Feature data set has been derived from NHDPlus v.1, it is an entirely new data set that has been designed to generically support regional and national scale applications of hydrologic models. Definition of each type of feature class and its derivation is provided within the