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  1. Title: Travel Monitoring Stations: United States, 2014

    Contributors:

    Summary: This point shapefile contains the locations of travel monitoring station sin the United States. The attributes for these databases have been intentionally limited to location referencing attributes since the core station description attribute data are contained within the Station Description Tables (SDT). There is a separate SDT for each of the station types. The attributes in the SDT correspond with the Station Description Record found in Chapter 6 of the latest Traffic Monitoring Guide. The SDT contains the most recent stations available for each state and station type. This table was derived from files provided UTCTR by FHWA. The SDT can be linked to the station shapefile via the STNNKEY field. Some stations were not located in the United States and were beyond available geographic extents causing display problems. These were moved to Latitude and Longitude 0,0. This is in recognition that the locations of these stations where in error, but were moved to a less obtusive area. This layer is part of the 2014 National Transportation Atlas Database. The National Transportation Atlas Databases 2014 (NTAD2014) is a set of nationwide geographic datasets of transportation facilities, transportation networks, associated infrastructure and other political and administrative entities. These datasets include spatial information for transportation modal networks and intermodal terminals, as well as the re¬lated attribute information for these features. This data supports research, analysis, and decision-making across all transportation modes. It is most useful at the national level, but has major applications at regional, state and local scales throughout the transportation community. The data used to compile NTAD2014 was provided by our partners within the United States Department of Transportation (USDOT) and by other agencies throughout the United States Federal Government. These contributors are the actual data stewards and are ultimately responsible for the maintenance and accuracy of their data. Data from Automatic Traffic Recorder (ATR) stations is used in the Travel Volume Trends (TVT) system to process the continuous traffic volume data and produce the monthly TVT report. The Vehicle Travel Information System (VTRIS) is used to process the vehicle classification and truck weight data collected as part of the annual Truck Weight Study. Both are microcomputer database management systems that process, validate, summarize and maintain traffic data. TVT and VTRIS may be used by anyone and can be retrieved from the Federal Highway Administration (FHWA) web site at http://www.fhwa.dot.gov/policyinformation/travelmonitoring.cfm . The data included in the GIS Traffic Stations Version database has been collected by the FHWA from the State Department of Transportation. Location referencing information was derived from State Offices of Transportation The attributes on the point elements of the database are used by FHWA for its Travel Monitoring and Analysis System and by State DOTs. United States. Department of Transportation. Research and Innovative Technology Administration. (2014). Travel Monitoring Stations: United States, 2014. National Transportation Atlas Database 2014. Available at: http://purl.stanford.edu/jn784zg4600.

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  2. Title: Bahamas National Hazard Analysis, 2019: InVEST Coastal Vulnerability Model Outputs

    Contributors:

    Summary: This dataset shares the results of a 2019 coastal hazard and social vulnerability assessment for the entire coastline of The Bahamas. The analysis was conducted at a 250 m resolution and each shore point shows the modeled results relating to exposure to coastal hazards, population at risk and the potential for ecosystems to provide coastal protection for each 250 m segment. These model results were used to conduct the analysis for a peer-reviewed paper and are presented in a web map viewer used by the Bahamian government, NGOs, and the general public to look at shoreline exposure and vulnerability for the different SLR and habitat scenarios. This layer is presented in the WGS84 coordinate system for web display purposes. Downloadable data are provided in native coordinate system or projection.

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  3. Title: Washington Post Locations of Unsolved Homicides in the US, 2008-2018

    Contributors:

    Summary: This point shapefile represents locations of more than 52,000 criminal homicides between the years 2008-2018 (approximately) in 50 of the largest American cities. The data includes the location of the killing, whether an arrest was made and, in most cases, basic demographic information about each victim. Reporters from the Washington Post received data in many formats, including paper, and worked for months to clean and standardize it, comparing homicide counts and aggregate closure rates with FBI data to ensure the records were as accurate as possible. In some cases, departments provided only partial information about the homicides, so reporters consulted public records, including death certificates, court records and medical examiner reports, to fill in the gaps. The data is more specific than the federal homicide data gathered annually by the FBI from police agencies nationwide. The Post mapped each homicide, identifying arrest rates by geography in each city, sharing the analysis with the local police department prior to publication. This data was downloaded at the date of the data release and converted into a shapefile by NYU Data Services. The original data is available at: https://github.com/washingtonpost/data-homicides/.

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  4. Title: Silesia, 1681 (Raster Image)

    Contributors:

    Summary: This layer is a georeferenced raster image of the historic paper map entitled: Silesiae ducatus accurata et vera delineateo : viris magnificis ac generosis, D. Valentino a Stössel in Seppa Kawer; D. Sigismundo a Loss, in Simpsen Dammer; D. Caspari a Stosch; D. Davidi Gotfr. a Stosch, Patruelibus in Gross et klein Tschirna; D. Gotfried ab Haugwitz in Brodelwitz, Ziebendorf Equitibus. Patronis. dicat Dedicatq. Jonas Scultetus ,Sprotta Silesius. It was published by: Sumptibus Janssonio Waesbergiorum, Mosis Pitt et Stephani Swart in 1681. Scale approximately 1:1,050,000. Map in Latin. The image inside the map neatline is georeferenced to the surface of the earth and fit to the Europe Lambert Conformal Conic (EPSG: 102014) coordinate system. All map features and collar and inset information are shown as part of the raster image, including any inset maps, profiles, statistical tables, directories, text, illustrations, index maps, legends, or other information associated with the principal map. This layer is part of a selection of digitally scanned and georeferenced historic maps from the Harvard Map Collection. These maps typically portray both natural and manmade features. The selection represents a range of geographies, originators, ground condition dates, scales, and map purposes.

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