15 datasets found
  1. w

    Websites using Xt Visitor Counter

    • webtechsurvey.com
    csv
    Updated Jan 16, 2025
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    WebTechSurvey (2025). Websites using Xt Visitor Counter [Dataset]. https://webtechsurvey.com/technology/xt-visitor-counter
    Explore at:
    csvAvailable download formats
    Dataset updated
    Jan 16, 2025
    Dataset authored and provided by
    WebTechSurvey
    License

    https://webtechsurvey.com/termshttps://webtechsurvey.com/terms

    Time period covered
    2025
    Area covered
    Global
    Description

    A complete list of live websites using the Xt Visitor Counter technology, compiled through global website indexing conducted by WebTechSurvey.

  2. w

    Websites using Hit Counter

    • webtechsurvey.com
    csv
    Updated Dec 29, 2024
    + more versions
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    WebTechSurvey (2024). Websites using Hit Counter [Dataset]. https://webtechsurvey.com/technology/hit-counter
    Explore at:
    csvAvailable download formats
    Dataset updated
    Dec 29, 2024
    Dataset authored and provided by
    WebTechSurvey
    License

    https://webtechsurvey.com/termshttps://webtechsurvey.com/terms

    Time period covered
    2025
    Area covered
    Global
    Description

    A complete list of live websites using the Hit Counter technology, compiled through global website indexing conducted by WebTechSurvey.

  3. w

    Websites using WP Live Visitor Counter

    • webtechsurvey.com
    csv
    Updated Dec 16, 2023
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    WebTechSurvey (2023). Websites using WP Live Visitor Counter [Dataset]. https://webtechsurvey.com/technology/wp-live-visitor-counter
    Explore at:
    csvAvailable download formats
    Dataset updated
    Dec 16, 2023
    Dataset authored and provided by
    WebTechSurvey
    License

    https://webtechsurvey.com/termshttps://webtechsurvey.com/terms

    Time period covered
    2025
    Area covered
    Global
    Description

    A complete list of live websites using the WP Live Visitor Counter technology, compiled through global website indexing conducted by WebTechSurvey.

  4. w

    Websites using Bd Hit Counter

    • webtechsurvey.com
    csv
    Updated Jul 19, 2024
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    WebTechSurvey (2024). Websites using Bd Hit Counter [Dataset]. https://webtechsurvey.com/technology/bd-hit-counter
    Explore at:
    csvAvailable download formats
    Dataset updated
    Jul 19, 2024
    Dataset authored and provided by
    WebTechSurvey
    License

    https://webtechsurvey.com/termshttps://webtechsurvey.com/terms

    Time period covered
    2025
    Area covered
    Global
    Description

    A complete list of live websites using the Bd Hit Counter technology, compiled through global website indexing conducted by WebTechSurvey.

  5. Visitor count data at a selection of NRW sites

    • metadata.naturalresources.wales
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    Natural Resources Wales (NRW), Visitor count data at a selection of NRW sites [Dataset]. https://metadata.naturalresources.wales/geonetwork/srv/api/records/NRW_DS125005
    Explore at:
    Dataset provided by
    Natural Resources Waleshttp://naturalresources.wales/
    Area covered
    Description

    For the purpose of monitoring its visitor centres, National Nature Reserves (NNR) and bike trails, Natural Resources Wales contracted Linetop LTD to provide data and reporting on visitor numbers.

    Reports are produced quarterly and provide a breakdown of visitor numbers in each site and reserve. This data includes:

    Site cards - which provide details of counter placements and specification.
    Raw Count data - raw counts from sensors. Reports - summary data provided as MS Word documents at regular intervals.

    This metadata entry also covers the Grafana Chambers Electronics downloadable visitor counter data which is time stamp and number count data, which is affectively counting the same thing as the Linetop data.

  6. w

    Websites using Traffic Counter Widget

    • webtechsurvey.com
    csv
    Updated Dec 29, 2024
    + more versions
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    WebTechSurvey (2024). Websites using Traffic Counter Widget [Dataset]. https://webtechsurvey.com/technology/traffic-counter-widget
    Explore at:
    csvAvailable download formats
    Dataset updated
    Dec 29, 2024
    Dataset authored and provided by
    WebTechSurvey
    License

    https://webtechsurvey.com/termshttps://webtechsurvey.com/terms

    Time period covered
    2025
    Area covered
    Global
    Description

    A complete list of live websites using the Traffic Counter Widget technology, compiled through global website indexing conducted by WebTechSurvey.

  7. W

    Traffic Counter Data

    • cloud.csiss.gmu.edu
    • data.wu.ac.at
    xls
    Updated Jun 20, 2019
    + more versions
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    Ireland (2019). Traffic Counter Data [Dataset]. https://cloud.csiss.gmu.edu/uddi/dataset/traffic-counter-data
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jun 20, 2019
    Dataset provided by
    Ireland
    Description

    The NRA Traffic Data website presents data collected from the NRA traffic counters located on the National Road Network. The Website uses a dynamic mapping interface to allow the User to access data in a variety of report formats. Counter data includes multi-day volume, daily volume, weekly volume, average week, monthly volume, monthly summary, and hourly direction

  8. d

    Traffic Counter Locations

    • datasalsa.com
    • cloud.csiss.gmu.edu
    • +1more
    geojson, kml +2
    Updated Mar 5, 2018
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    Transport Infrastructure Ireland (2018). Traffic Counter Locations [Dataset]. https://datasalsa.com/dataset/?catalogue=data.gov.ie&name=traffic-counter-locations
    Explore at:
    shape file, kml, geojson, tab separated valuesAvailable download formats
    Dataset updated
    Mar 5, 2018
    Dataset authored and provided by
    Transport Infrastructure Ireland
    Time period covered
    Mar 5, 2018
    Description

    Traffic Counter Locations. Published by Transport Infrastructure Ireland. Available under the license cc-by (CC-BY-4.0).TII operates and maintains a network of traffic counters on the national primary and secondary road network in Ireland. There are currently almost 300 of these counters active across the network. For an interactive view of the data they capture, go to the TII Traffic Counter Data Website nratrafficdata.ie...

  9. a

    TMS daily traffic counts CSV

    • hub.arcgis.com
    Updated Aug 30, 2020
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    Waka Kotahi (2020). TMS daily traffic counts CSV [Dataset]. https://hub.arcgis.com/datasets/9cb86b342f2d4f228067a7437a7f7313
    Explore at:
    Dataset updated
    Aug 30, 2020
    Dataset authored and provided by
    Waka Kotahi
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    You can also access an API version of this dataset.

    TMS

    (traffic monitoring system) daily-updated traffic counts API

    Important note: due to the size of this dataset, you won't be able to open it fully in Excel. Use notepad / R / any software package which can open more than a million rows.

    Data reuse caveats: as per license.

    Data quality

    statement: please read the accompanying user manual, explaining:

    how

     this data is collected identification 
    
     of count stations traffic 
    
     monitoring technology monitoring 
    
     hierarchy and conventions typical 
    
     survey specification data 
    
     calculation TMS 
    
     operation. 
    

    Traffic

    monitoring for state highways: user manual

    [PDF 465 KB]

    The data is at daily granularity. However, the actual update

    frequency of the data depends on the contract the site falls within. For telemetry

    sites it's once a week on a Wednesday. Some regional sites are fortnightly, and

    some monthly or quarterly. Some are only 4 weeks a year, with timing depending

    on contractors’ programme of work.

    Data quality caveats: you must use this data in

    conjunction with the user manual and the following caveats.

    The

     road sensors used in data collection are subject to both technical errors and 
    
     environmental interference.Data 
    
     is compiled from a variety of sources. Accuracy may vary and the data 
    
     should only be used as a guide.As 
    
     not all road sections are monitored, a direct calculation of Vehicle 
    
     Kilometres Travelled (VKT) for a region is not possible.Data 
    
     is sourced from Waka Kotahi New Zealand Transport Agency TMS data.For 
    
     sites that use dual loops classification is by length. Vehicles with a length of less than 5.5m are 
    
     classed as light vehicles. Vehicles over 11m long are classed as heavy 
    
     vehicles. Vehicles between 5.5 and 11m are split 50:50 into light and 
    
     heavy.In September 2022, the National Telemetry contract was handed to a new contractor. During the handover process, due to some missing documents and aged technology, 40 of the 96 national telemetry traffic count sites went offline. Current contractor has continued to upload data from all active sites and have gradually worked to bring most offline sites back online. Please note and account for possible gaps in data from National Telemetry Sites. 
    

    The NZTA Vehicle

    Classification Relationships diagram below shows the length classification (typically dual loops) and axle classification (typically pneumatic tube counts),

    and how these map to the Monetised benefits and costs manual, table A37,

    page 254.

    Monetised benefits and costs manual [PDF 9 MB]

    For the full TMS

    classification schema see Appendix A of the traffic counting manual vehicle

    classification scheme (NZTA 2011), below.

    Traffic monitoring for state highways: user manual [PDF 465 KB]

    State highway traffic monitoring (map)

    State highway traffic monitoring sites

  10. g

    Traffic counter – daily history | gimi9.com

    • gimi9.com
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    Traffic counter – daily history | gimi9.com [Dataset]. https://gimi9.com/dataset/eu_https-opendata-bordeaux-metropole-fr-explore-dataset-pc_capte_p_histo_jour-
    Explore at:
    License

    Licence Ouverte / Open Licence 1.0https://www.etalab.gouv.fr/wp-content/uploads/2014/05/Open_Licence.pdf
    License information was derived automatically

    Description

    The dataset presents the counting history (per day) of the different counting sites (loop-type traffic counter). It is built from the webservice of aggregation proposed by Bordeaux Métropole. A join was made with the dataset Traffic Counter in order to retrieve all descriptive information from the counting site including location and date of installation (cdate).

  11. Traffic Volume and Classification in Massachusetts

    • mass.gov
    Updated Sep 18, 2017
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    Massachusetts Department of Transportation (2017). Traffic Volume and Classification in Massachusetts [Dataset]. https://www.mass.gov/traffic-volume-and-classification-in-massachusetts
    Explore at:
    Dataset updated
    Sep 18, 2017
    Dataset authored and provided by
    Massachusetts Department of Transportationhttp://www.massdot.state.ma.us/
    Area covered
    Massachusetts
    Description

    A collection of historic traffic count data and guidelines for how to collect new data for Massachusetts Department of Transportation (MassDOT) projects.

  12. MDOT SHA Annual Average Daily Traffic (AADT)

    • data.imap.maryland.gov
    • hub.arcgis.com
    Updated Jun 2, 2020
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    ArcGIS Online for Maryland (2020). MDOT SHA Annual Average Daily Traffic (AADT) [Dataset]. https://data.imap.maryland.gov/maps/77010abe7558425997b4fcdab02e2b64
    Explore at:
    Dataset updated
    Jun 2, 2020
    Dataset provided by
    Authors
    ArcGIS Online for Maryland
    License

    MIT Licensehttps://opensource.org/licenses/MIT
    License information was derived automatically

    Area covered
    Description

    Esri ArcGIS Online (AGOL) Hosted Feature Layer for accessing the MDOT SHA Annual Average Daily Traffic (AADT) data product.MDOT SHA Annual Average Daily Traffic (AADT) data consists of linear & point geometric features which represent the geographic locations & segments of roadway throughout the State of Maryland that include traffic volume information. Traffic volume information is produced from traffic counts used to calculate annual average daily traffic (AADT), annual average weekday traffic (AAWDT), AADT based on vehicle class (current year only) for roadways throughout the State. Ten (10) years of historic AADT & AAWDT traffic volume metrics are also available for each geographic location or segment of roadway throughout the State, where applicable.Annual Average Daily Traffic (AADT) data is collected from over 8700 program count stations and 84 ATRs, located throughout Maryland. The quality control feature of the system allow data edit checks and validation for data from the 91 permanent, continuous automatic traffic recorders (ATRs) and short-term traffic counts. Program count data is collected in both directions (inventory & non-inventory) at regular locations on either a three (3) year or six (6) year cycle depending on the type of roadway. Growth factors are applied to counts which were not taken during the current year and the counts are factored based on the past yearly growth of an associated ATR. Counters are placed for 48 hours on a Monday or Tuesday and are picked up that Thursday or Friday, respectively. The ATR and toll count data is collected on a continuous basis. Toll station data is provided by the Maryland Transportation Authority (MDTA). A special numeric code was added to the AADT numbers, starting in 2006, to identify the years when the count was actually taken. The last digit represents the number of years prior to the actual count. Where “0” represents the current year when data was collected (in 2020), “1” represents the count taken in 2019, “2” represents the count taken in 2018, “3” represents the count taken in 2017 and so forth.Annual Average Daily Traffic (AADT) data is a strategic resource for the Federal Highway Administration (FHWA), the Maryland Department of Transportation (MDOT), the Maryland Department of Transportation State Highway Administration (MDOT SHA), as well as many other Federal, State & local government agencies. The data is essential in the planning, design and operation of the statewide road system and the development & implementation of State highway improvement & safety programs. The MDOT SHA Traffic Monitoring System (TMS) is a product of the ISTEA Act of 1991, which required a traffic data program to effectively & efficiently meet MDOT SHA’s long-term traffic data monitoring & reporting requirements.Annual Average Daily Traffic (AADT) data is updated & published on an annual basis for the prior year. This data is for the year 2023.View the most current AADT data in the MDOT SHA Annual Average Daily Traffic (AADT) LocatorFor more AADT data information, contact MDOT SHA OPPE Traffic Monitoring System (TMS) Unit:Email: TMS@mdot.maryland.govFor more general information, contact MDOT SHA OIT Enterprise Information Services:Email: GIS@mdot.maryland.gov

  13. r

    Road and Speed Data

    • researchdata.edu.au
    • data.nsw.gov.au
    • +1more
    Updated Jul 9, 2022
    + more versions
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    data.nsw.gov.au (2022). Road and Speed Data [Dataset]. https://researchdata.edu.au/road-speed-data/1986545
    Explore at:
    Dataset updated
    Jul 9, 2022
    Dataset provided by
    data.nsw.gov.au
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description
  14. w

    Websites using Hit Counter Max

    • webtechsurvey.com
    csv
    Updated Dec 15, 2024
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    WebTechSurvey (2024). Websites using Hit Counter Max [Dataset]. https://webtechsurvey.com/technology/hit-counter-max
    Explore at:
    csvAvailable download formats
    Dataset updated
    Dec 15, 2024
    Dataset authored and provided by
    WebTechSurvey
    License

    https://webtechsurvey.com/termshttps://webtechsurvey.com/terms

    Time period covered
    2025
    Area covered
    Global
    Description

    A complete list of live websites using the Hit Counter Max technology, compiled through global website indexing conducted by WebTechSurvey.

  15. f

    Calculation of parallel servers for the Kaiveli study site.

    • plos.figshare.com
    xls
    Updated Feb 21, 2025
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    Vinaya S. Mattungal; Lelitha Devi Vanajakshi (2025). Calculation of parallel servers for the Kaiveli study site. [Dataset]. http://doi.org/10.1371/journal.pone.0319325.t005
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Feb 21, 2025
    Dataset provided by
    PLOS ONE
    Authors
    Vinaya S. Mattungal; Lelitha Devi Vanajakshi
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Calculation of parallel servers for the Kaiveli study site.

  16. Not seeing a result you expected?
    Learn how you can add new datasets to our index.

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WebTechSurvey (2025). Websites using Xt Visitor Counter [Dataset]. https://webtechsurvey.com/technology/xt-visitor-counter

Websites using Xt Visitor Counter

Explore at:
csvAvailable download formats
Dataset updated
Jan 16, 2025
Dataset authored and provided by
WebTechSurvey
License

https://webtechsurvey.com/termshttps://webtechsurvey.com/terms

Time period covered
2025
Area covered
Global
Description

A complete list of live websites using the Xt Visitor Counter technology, compiled through global website indexing conducted by WebTechSurvey.

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