Centerlines of railroads or Metrorail are captured. The line is at the midpoint between each rail line. Hidden features due to tunnels, overpasses, or bridges are interpolated for connectivity. These areas are attributed as hidden railroad features. Railroad Centerline: Delineated centerline between all dual-rails, including marshaling yards. Metro Railroad Centerline: Delineated centerline between all Metrorail dual-rails, including marshaling yards. Streetcar Railroad Centerline: Delineated centerline between all streetcar dual-rails, including marshaling yards. Hidden Railroad: Captures the centerline of railroads that are obscured by overpasses or tunnels. The _location of these features is inferred.

Analysis of ‘Connecticut Railroads’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://catalog.data.gov/dataset/0f9f883e-31c1-4eec-b4fe-55ed78f90b18 on 27 January 2022.

--- Dataset description provided by original source is as follows ---

Connecticut Railroads is a 1:24,000-scale, feature-based layer that includes railroad features on the U.S. Geological Survey (USGS) 7.5 minute topographic quadrangle maps for the State of Connecticut. This layer only includes features located in Connecticut. The layer is based on information from USGS topographic quadrangle maps published between 1969 and 1984 and does not represent the railroad system in Connecticut at any one particular point in time. The layer does not depict current conditions and excludes many railroads that have been built, modified, or removed since the time these topographic quadrangle maps were published. The layer includes railroad tracks, bridges, drawbridges, roundhouses, sidings, tracks, tunnels, underpasses, and stations. It does not include train schedule or track related information. Features are linear and represent railroad track centerlines. Attribute information is comprised of codes to cartographically represent (symbolize) rail features on a map. This layer was originally published in 1994. The 2005 edition includes the same rail features published in 1994, but the attribute information has been slightly modified and made easier to use.

--- Original source retains full ownership of the source dataset ---

Analysis of ‘OC Railroad’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://catalog.data.gov/dataset/9b161cc0-1a87-4690-99ea-ea64cde01183 on 26 January 2022.

--- Dataset description provided by original source is as follows ---

BY USING THIS WEBSITE OR THE CONTENT THEREIN, YOU AGREE TO THE TERMS OF USE. .
This linear feature class was captured through heads up digitizing at an unknown scale using Oakland County's 2000 orthoimagery for reference. Abandoned railroad features were not captured as part of this data set. Key attributes include name and revision date.

--- Original source retains full ownership of the source dataset ---

Railroad. The dataset contains polygons representing planimetric railroads, created as part of the DC Geographic Information System (DC GIS) for the D.C. Office of the Chief Technology Officer (OCTO). This is a complete new capture from aerial photography flown in mid to Late April, completed on April 24, 2015. This is part of a comprehensive sensor collection effort to sychronize orthophotos, oblique imagery, LiDAR, and basemap layers. The following planimetric layers were updated: - Barrier Lines- Building Polygons- Bridge and Tunnel Polygons- Curb Lines- Grate Points- Horizontal and Vertical Control Points- Hydrography Lines- Obscured Area Polygons- Railroad Lines- Road, Parking, and Driveway Polygons- Sidewalk and Stair Polygons- Swimming Pools- Water PolygonsDUE TO THE LOW ALTITUDE FLOWN TO CAPTURE THE COMPLETE IMAGERY FOR THE 2015 SENSOR FLIGHT, THERE IS INCOMPLETE AERIAL PHOTOGRAPHY COVERAGE AROUND THE WHITE HOUSE AND CAPITOL. FOR THESE AREAS, 2013 PLANIMETRIC FEATURES WERE SEEMLESSLY MERGED INTO THE 2015 DATA.

Analysis of ‘Railroad Line’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://catalog.data.gov/dataset/5b4f3128-2ecf-41d0-9520-416b767dd7cc on 13 February 2022.

--- Dataset description provided by original source is as follows ---

Planimetric basemap layer containing railroad lines. Please see the following link for additional documentation- https://github.com/CityOfNewYork/nyc-planimetrics/blob/master/Capture_Rules.md.

--- Original source retains full ownership of the source dataset ---

Railroads captured in 1999. This dataset was collected as part of the planimetric mapping project. Hidden rail features were added as enhancements to this data.

Analysis of ‘Monthly Railroad Operational Summaries’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://catalog.data.gov/dataset/82529bec-36b1-4c74-8db2-a77af70eb327 on 12 February 2022.

--- Dataset description provided by original source is as follows ---

All Railroads covered by Part 225 Accident/Injury reporting are required to provide monthly summary statistics via the form F6180.55.

--- Original source retains full ownership of the source dataset ---

Analysis of ‘Rail Lines - BNSF, UPRR [ds1337]’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://catalog.data.gov/dataset/8e1daa95-fe22-4b0d-8870-faa1d107bfcd on 27 January 2022.

--- Dataset description provided by original source is as follows ---

Subset of CalTrans Rail_13 state-wide geodatabase. To accurately represent the rail network using the most current reference data including: DHIPP, NAIP, and TerraServer imagery, as well as information contained in the California Region Timetable 17. The CalTrans Rail_13 geodatabase is a line network representing information on all passenger and freight railroad lines in California, including commuter rail, heavy-rail transit and light-rail transit, this layer is only concerned with the Union Pacific and BNSF lines. Go to ERMA NOAA Website for the most updated data.

--- Original source retains full ownership of the source dataset ---

Railroad. The dataset contains polylines representing planimetric railroads, created as part of the DC Geographic Information System (DC GIS) for the D.C. Office of the Chief Technology Officer (OCTO). These features were originally captured in 2015 and updated in 2017 and 2019. The following planimetric layers were updated: - Airport Runway and Taxiway- Barrier Lines- Building Polygons- Bridge and Tunnel Polygons- Curb Lines- Grate Points- Horizontal and Vertical Control Points- Hydrography Lines- Obscured Area Polygons- Railroad Lines- Recreational Areas- Road, Parking, and Driveway Polygons- Sidewalk and Stair Polygons- Swimming Pools- Water Polygons

🇺🇸 미국 English Railroad. The dataset contains polylines representing planimetric railroads, created as part of the DC Geographic Information System (DC GIS) for the D.C. Office of the Chief Technology Officer (OCTO). These features were originally captured in 2015 and updated in 2017. The following planimetric layers were updated: - Barrier Lines- Building Polygons- Bridge and Tunnel Polygons- Curb Lines

Analysis of ‘Rail Lines - BNSF, UPRR [ds1337]’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://catalog.data.gov/dataset/f159e48b-10cf-4bb4-874c-46cabe53d6fa on 26 January 2022.

--- Dataset description provided by original source is as follows ---

Subset of CalTrans Rail_13 state-wide geodatabase. To accurately represent the rail network using the most current reference data including: DHIPP, NAIP, and TerraServer imagery, as well as information contained in the California Region Timetable 17. The CalTrans Rail_13 geodatabase is a line network representing information on all passenger and freight railroad lines in California, including commuter rail, heavy-rail transit and light-rail transit, this layer is only concerned with the Union Pacific and BNSF lines. Go to ERMA NOAA Website for the most updated data.

--- Original source retains full ownership of the source dataset ---

The title of the exam, level name, subject name, total number of applicants, number of male applicants, percentage of male applicants, number of female applicants, percentage of female applicants, total number of actual test-takers, number of male actual test-takers, percentage of male actual test-takers, number of female actual test-takers, percentage of female actual test-takers, required quota, admission criteria, total number of admissions or passers, number of male admissions or passers, percentage of male admissions or passers, number of female admissions or passers, percentage of female admissions or passers, overall test-taking rate, male test-taking rate percentage, female test-taking rate percentage, overall pass rate, male admission or pass rate percentage, female admission or pass rate percentage, total, total male, total female, male doctorate, female doctorate, male master's, female master's, male bachelor's, female bachelor's, male associate's degree, female associate's degree, male high school or below, female high school or below.

The name of the examination, the name of the level, the name of the subject, the total number of candidates, the number of male candidates, the percentage of male candidates, the number of female candidates, the percentage of female candidates, the total number of candidates, the number of male candidates present, the percentage of male candidates present, the number of female candidates present, the percentage of female candidates present, the required quota, the admission standard, the total number of admissions or passing grades, the number of male admissions or passing grades, the percentage of male admissions or passing grades, the number of female admissions or passing grades, the percentage of female admissions or passing grades, the overall attendance rate, the percentage of male attendance, the percentage of female attendance, the overall passing rate, the percentage of male admissions or passing rate, the percentage of female admissions or passing rate, total, male total, female total, male doctoral, female doctoral, male master's, female master's, male bachelor's, female bachelor's, male associate degree, female associate degree, male below senior high/vocational school, female below senior high/vocational school.

🇺🇸 미국 English Railroad. The dataset contains polylines representing planimetric railroads, created as part of the DC Geographic Information System (DC GIS) for the D.C. Office of the Chief Technology Officer (OCTO). These features were originally captured in 2015 and updated in 2017 and 2019. The following planimetric layers were updated: - Airport Runway and Taxiway- Barrier Lines- Building Polygons- Bridge and Tunnel Polygons- Curb Lines- Grate Points- Horizontal and Vertical Control Points- Hydrography Lines- Obscured Area Polygons- Railroad Lines- Recreational Areas- Road, Parking, and Driveway Polygons- Sidewalk and Stair Polygons- Swimming Pools

This data is used for the planning and management of Washington, DC by local government agencies.

The dataset contains locations and attributes of Virginia Railway Express (VRE) Routes, created as part of the DC Geographic Information System (DC GIS) for the Office of the Chief Technology Officer (OCTO) and participating D.C. government agencies. The data is extracted from NAVTEQ RAILRDS.

The name of the exam, the name of the level, the name of the category, the total number of applicants, the number of male applicants, the percentage of male applicants, the number of female applicants, the percentage of female applicants, the total number of attendees, the number of male attendees, the percentage of male attendees, the number of female attendees, the percentage of female attendees, the required quota, the admission criteria, the total number of admissions or passers, the number of male admissions or passers, the percentage of male admissions or passers, the number of female admissions or passers, the percentage of female admissions or passers, the overall attendance rate, the percentage of male attendees, the percentage of female attendees, the overall pass rate, the percentage of male admissions or passers, the percentage of female admissions or passers, total, male total, female total, male doctorate, female doctorate, male master's, female master's, male bachelor's, female bachelor's, male associate degree, female associate degree, male below senior high school, female below senior high school

This data set contains all Virginia Railway Express (VRE) stations in Virginia. The data set was originally obtained from the Metro Washington Council of Governments (MWCOG) GIS data clearinghouse and snapped to the Fairfax County railroad data set using 2002 aerial photography as a background. This data set was created to display all VRE stations in Virginia only and can be used in conjunction with the railroad data set.

Railroads. The dataset contains lines representing planimetric Railroads, created as part of the DC Geographic Information System (DC GIS) for the D.C. Office of the Chief Technology Officer (OCTO). These features were originally captured in 1999 and updated in 2005. The following planimetric layers were updated: - Building Polygons (BldgPly) - Bridge and Tunnel Polygons (BrgTunPly) - Metro Entrance Points (MetroEntPt) - Obscured Area Polygons (ObsAreaPly) - Railroad Lines (RailRdLn) - Road, Parking, and Driveway Polygons (RoadPly) - Sidewalk Polygons (SidewalkPly) - Under Construction Areas (UnderConstPly) - Wooded Areas (WoodPly) The following planimetric layers are new: - Horizontal and Vertical Control Points (GeoControlPt) - Hydrography Center Lines (HydroCenterLineLn).

The dataset contains locations and attributes of Virginia Railway Express (VRE) Routes, created as part of the DC Geographic Information System (DC GIS) for the Office of the Chief Technology Officer (OCTO) and participating D.C. government agencies. The data is extracted from NAVTEQ RAILRDS.

Point locations of interest to the Ministry of Natural Resources (MNR) where a road crosses a railway.Additional DocumentationMNR Road Crossing Railway - Data Description (PDF)MNR Road Crossing Railway - Documentation (Word)StatusOn going: data is being continually updatedMaintenance and Update FrequencyAs needed: data is updated as deemed necessaryContactShawn Mason, Regional GIS Officer, shawn.mason@ontario.ca