7 datasets found
  1. Json Fiber (Name) - Reverse Whois Lookup

    • whoisdatacenter.com
    csv
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    AllHeart Web Inc, Json Fiber (Name) - Reverse Whois Lookup [Dataset]. https://whoisdatacenter.com/name/Json-Fiber/
    Explore at:
    csvAvailable download formats
    Dataset provided by
    Authors
    AllHeart Web Inc
    License

    https://whoisdatacenter.com/terms-of-use/https://whoisdatacenter.com/terms-of-use/

    Time period covered
    Mar 15, 1985 - Jul 30, 2025
    Description

    Investigate historical ownership changes and registration details by initiating a reverse Whois lookup for the name Json Fiber.

  2. C

    Occupancy status of parking spaces for people with disabilities in the city...

    • ckan.mobidatalab.eu
    Updated Nov 4, 2022
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    SWO Netz GmbH (2022). Occupancy status of parking spaces for people with disabilities in the city of Osnabrück (since 05/2022) [Dataset]. https://ckan.mobidatalab.eu/dataset/occupied-status-of-parking-spaces-for-people-with-disabilities-in-the-city-of-osnabruck
    Explore at:
    Dataset updated
    Nov 4, 2022
    Dataset provided by
    SWO Netz GmbH
    License

    Data licence Germany – Attribution – Version 2.0https://www.govdata.de/dl-de/by-2-0
    License information was derived automatically

    Time period covered
    May 10, 2022
    Area covered
    Osnabrück
    Description

    Real-time data is provided here with which the current occupancy status of parking spaces for people with disabilities in the city of Osnabrück can be queried. The data can be accessed using SensorThingsAPI.
    The associated data model looks like this:

    Entity Key Value Standardization
    Thing name Parking lot Location
    description Parking lot (Location : Location)
    properties/topic Parking management
    properties/keywords [“Parking”,”Occupancy”,”Availability ”(,”Handicapped parking lot”)]
    properties/language en
    properties/owner OPG
    properties /ownerThing OPG
    properties/imageLink URL to image
    properties/deviceIDniota deviceID from niota properties/navigation http://maps.google.com/maps?q=lat%2Clon
    properties/behindertenparkplatz yes / no
    Location name Location of car park Ort
    description Here is the car park Ort
    ; encodingType application/geo+json
    location GeoJSON Point Geometry
    Historical Location time Timestamp UTC
    Datastream name Occupancy status at parking lot Location
    description Occupancy status
    observationType opengis url opengis
    unitOfMeasurement/name Status
    unitOfMeasurement/symbol
    unitOfMeasurement/definition
    observedArea GeoJSON Point Geometry (automatic)
    phenomenonTime Timestamp UTC (automatic)
    resultTime < i>Timestamp UTC (automatic)
    properties/mediaMonitored transport eionet (?) / inspire
    Sensor name PNI PlacePod parking sensor (or other)
    ; description The parking sensor detects and reports the occupancy of parking spaces eionet
    encodingType application/pdf
    metadata "https://www. pnicorp.com/wp-content/uploads/PNI-PlacePod-Vehicle-Detection-Sensor-User-Manual.pdf"
    Observed Property name State
    description instantaneous condition, state of being ; manner of existence of someone, thing at a given moment; Constitution, condition [source: https://www.duden.de/rechtschrift/condition; retrieved on 06/28/2021]
    definition http://www.opengis.net/def/observationType/OGC-OM/2.0/OM_CategoryObservation eionet / opengis
    Observation result “free” / “occupied” / “unknown”
    phenomenonTime Timestamp UTC
    resultTime Timestamp UTC
    Feature of Interest name FoI for location location_id
    description Generated from location location_id
    encodingType application/vnd.geo+json
    feature GeoJSON Point Geometry

  3. O

    Land Use Mapping - Current - Web Service

    • data.qld.gov.au
    xml
    Updated Aug 18, 2023
    + more versions
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    Environment, Tourism, Science and Innovation (2023). Land Use Mapping - Current - Web Service [Dataset]. https://www.data.qld.gov.au/dataset/land-use-mapping-current-web-service-json
    Explore at:
    xml(1 KiB)Available download formats
    Dataset updated
    Aug 18, 2023
    Dataset authored and provided by
    Environment, Tourism, Science and Innovation
    License

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

    Description

    This service displays a complete state-wide digital land use map of Queensland. It is based on the Queensland Land Use Mapping Program (QLUMP) data product produced by the Queensland Government. The service presents the most recent mapping of land use features for Queensland. The service is cached to the standard Google / Bing Maps scale levels from 1:591,657,551 to 1:9,028.

  4. o

    Data from: US County Boundaries

    • public.opendatasoft.com
    csv, excel, geojson +1
    Updated Jun 27, 2017
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    (2017). US County Boundaries [Dataset]. https://public.opendatasoft.com/explore/dataset/us-county-boundaries/
    Explore at:
    json, csv, excel, geojsonAvailable download formats
    Dataset updated
    Jun 27, 2017
    License

    https://en.wikipedia.org/wiki/Public_domainhttps://en.wikipedia.org/wiki/Public_domain

    Area covered
    United States
    Description

    The TIGER/Line shapefiles and related database files (.dbf) are an extract of selected geographic and cartographic information from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). The MTDB represents a seamless national file with no overlaps or gaps between parts, however, each TIGER/Line shapefile is designed to stand alone as an independent data set, or they can be combined to cover the entire nation. The primary legal divisions of most states are termed counties. In Louisiana, these divisions are known as parishes. In Alaska, which has no counties, the equivalent entities are the organized boroughs, city and boroughs, municipalities, and for the unorganized area, census areas. The latter are delineated cooperatively for statistical purposes by the State of Alaska and the Census Bureau. In four states (Maryland, Missouri, Nevada, and Virginia), there are one or more incorporated places that are independent of any county organization and thus constitute primary divisions of their states. These incorporated places are known as independent cities and are treated as equivalent entities for purposes of data presentation. The District of Columbia and Guam have no primary divisions, and each area is considered an equivalent entity for purposes of data presentation. The Census Bureau treats the following entities as equivalents of counties for purposes of data presentation: Municipios in Puerto Rico, Districts and Islands in American Samoa, Municipalities in the Commonwealth of the Northern Mariana Islands, and Islands in the U.S. Virgin Islands. The entire area of the United States, Puerto Rico, and the Island Areas is covered by counties or equivalent entities. The boundaries for counties and equivalent entities are as of January 1, 2017, primarily as reported through the Census Bureau's Boundary and Annexation Survey (BAS).

  5. e

    Status ta’ spazji ta’ parkeġġ għal persuni b’diżabilità fil-belt ta’...

    • data.europa.eu
    unknown
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    SWO Netz GmbH, Status ta’ spazji ta’ parkeġġ għal persuni b’diżabilità fil-belt ta’ Osnabrück (mill-05/2022) [Dataset]. https://data.europa.eu/data/datasets/88cc4365-0ede-47b1-aacd-47901e68ae20?locale=mt
    Explore at:
    unknownAvailable download formats
    Dataset authored and provided by
    SWO Netz GmbH
    License

    Data licence Germany – Attribution – Version 2.0https://www.govdata.de/dl-de/by-2-0
    License information was derived automatically

    Area covered
    Osnabrück
    Description

    Hawnhekk, qed tiġi pprovduta data f’ħin reali biex jitqies l-istatus attwali ta’ okkupanza tal-ispazji ta’ parkeġġ għall-persuni b’diżabilità fil-belt ta’ Osnabrück.Id-data tista’ tiġi aċċessata bl-użu ta’ SensorThingsAPI.

    Il-mudell tad-data assoċjat jidher kif ġej:

    Standardizzazzjoni tal-Valur Ewlieni tal-Entità Isem Tajjeb il-post għall-ipparkjar deskrizzjoni Parking (lokazzjoni:Lokazzjoni) & proprjetajiet/ġestjoni tal-ipparkjar topiku & proprjetajiet/keywords [“spazju għall-ipparkjar”, “status ta’ okkupanza”, “disponibbiltà” (“spazju għall-parkeġġ b’diżabbiltà”)] & proprjetajiet/lingwa de

    proprjetajiet/sid OPG
    

    & proprjetajiet/sid OPG proprjetajiet/ImageLink URL għall-immaġni

    & proprjetajiet/apparat DeviceIDniotaID minn niota & proprjetajiet/navigazzjoni http://maps.google.com/maps?q=lat%2Clon & proprjetajiet/parkeġġ b’diżabbiltà iva/le

    L-isem tal-post fejn jinsab il-post fejn jinsab l-ipparkjar deskrizzjoni Hawnhekk huwa l-post tal-parkeġġ kodifikazzjoniType applikazzjoni/geo + json Ġeometrija tal-Punt GeoJSON ta’ lokazzjoni Ħin tal-post storiku Timestamp UTC Isem Datastream Istatus okkupanza fil-lott ta ‘parkeġġ Post

     deskrizzjoni L-istatus tad-dokument   observationType OpenGIS url OpenGIS
     unitOfMeasurement/name Status
     UnitOfMeasurement/simbolu
     UnitOfMeasurement/definizzjoni
    

    żona osservata GeoJSON Punt Ġeometrija (awtomatika) & phenomenonTime Timestamp UTC (awtomatiku) & ResultTime Timestamp UTC (awtomatika) & proprjetajiet/eionet tat-trasport medjuMonitored (?)/ispira

    Isem tas-sensur PNI sensur tal-parkeġġ PlacePod (jew ieħor) deskrizzjoni Is-sensur tal-parkeġġ jiskopri u jirrapporta l-okkupanza tal-ispazji tal-parkeġġ eionet kodifikazzjoniType applikazzjoni/pdf & metadata “https://www.pnicorp.com/wp-content/uploads/PNI-PlacePod-Vehicle-Detection-Sensor-User-Manual.pdf” Isem tal-Proprjetà Osservata Kundizzjoni

     Deskrizzjoni akkwist instant, attenwità;Mod ta ‘eżistenza ta’ xi ħadd, ta ‘ħaġa f’mument Ċerti;
    

    Kostituzzjoni, natura [Sors: https://www.duden.de/rechtschreibung/Zustand;aċċess tal-URL: 28.06.2021] definizzjoni http://www.opengis.net/def/observationType/OGC-OM/2.0/OM_CategoryObservation eionet/OpenGIS Riżultat tal-osservazzjoni “ħieles”/“okkupat”/“mhux magħruf” & phenomenonTime Timestamp UTC & ResultTime Timestamp UTC

    Karatteristika tal-isem tal-Interess FoI għall-post tal-lokazzjoni_id deskrizzjoni Ġġenerat mill-post tal-lokazzjoni_id kodifikazzjoniType applikazzjoni/vnd.geo + json karatteristika GeoJSON Punt ĠeometrijaId-data tista’ tiġi aċċessata bl-użu ta’ SensorThingsAPI.

    Il-mudell tad-data assoċjat jidher kif ġej:

    Standardizzazzjoni tal-Valur Ewlieni tal-Entità Isem Tajjeb il-post għall-ipparkjar deskrizzjoni Parking (lokazzjoni:Lokazzjoni) & proprjetajiet/ġestjoni tal-ipparkjar topiku

    & proprjetajiet/keywords [“spazju għall-ipparkjar”, “status ta’ okkupanza”, “disponibbiltà” (“spazju għall-parkeġġ b’diżabbiltà”)]

    & proprjetajiet/lingwa de

    proprjetajiet/sid OPG
    

    & proprjetajiet/sid OPG

    proprjetajiet/ImageLink URL għall-immaġni
    

    & proprjetajiet/apparat DeviceIDniotaID minn niota

    & proprjetajiet/navigazzjoni http://maps.google.com/maps?q=lat%2Clon

    & proprjetajiet/parkeġġ b’diżabbiltà iva/le

    L-isem tal-post fejn jinsab il-post fejn jinsab l-ipparkjar

     deskrizzjoni Hawnhekk huwa l-post tal-parkeġġ
    
    kodifikazzjoniType applikazzjoni/geo + json
    

    Ġeometrija tal-Punt GeoJSON ta’ lokazzjoni

    Ħin tal-post storiku Timestamp UTC

    Isem Datastream Istatus okkupanza fil-lott ta ‘parkeġġ Post

     deskrizzjoni L-istatus tad-dokument
    
    observationType OpenGIS url OpenGIS
    
    unitOfMeasurement/name Status
    
     UnitOfMeasurement/simbolu
    
     UnitOfMeasurement/definizzjoni
    

    żona osservata GeoJSON Punt Ġeometrija (awtomatika)

    & phenomenonTime Timestamp UTC (awto

  6. o

    Bysykler Rogaland - Dataset - Åpne data Stavangerregionen

    • opencom.no
    Updated Dec 19, 2023
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    (2023). Bysykler Rogaland - Dataset - Åpne data Stavangerregionen [Dataset]. https://opencom.no/dataset/bysykler-rogaland
    Explore at:
    Dataset updated
    Dec 19, 2023
    Area covered
    Rogaland, Stavangerregionen
    Description

    Documentation at Link:https://developer.entur.org/pages-mobility-docs-mobility-v2 Updated every 5 minutes. Data Formats: JSON: Versatile data exchange format, used for simple and efficient representation of structured data, with broad support in various programming environments. CSV: Common file type for importing and analyzing data in various tools. XLSX: Spreadsheet format, useful for further processing and analysis of the data. GEOJSON: Enables easy visualization and geographic analysis of locations. TopoJSON: Compressed and topologically optimized variant of JSON for efficient visualization and analysis of large geographical datasets. KML: XML-based format for storing and visualizing geographic data in Google Earth and Maps, including points, lines, polygons, and custom annotations.

  7. e

    Umriss des Innenstadtbereichs mit Maskenpflicht - Stand 26.11.2021

    • data.europa.eu
    • open.nrw
    • +1more
    geojson
    Updated Dec 20, 2021
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    Stadt Münster (2021). Umriss des Innenstadtbereichs mit Maskenpflicht - Stand 26.11.2021 [Dataset]. https://data.europa.eu/data/datasets/4399422d-f4a0-4cbe-b970-f017e6921246~~1?locale=sv
    Explore at:
    geojson(28779)Available download formats
    Dataset updated
    Dec 20, 2021
    Dataset authored and provided by
    Stadt Münster
    License

    Data licence Germany – Attribution – Version 2.0https://www.govdata.de/dl-de/by-2-0
    License information was derived automatically

    Description

    Im Rahmen der Open-Data-Initiative der Stadtverwaltung Münster erhalten Sie auf dieser Seite eine GeoJSON-Datei mit den Umrissen des Innenstadtbereichs von Münster, in dem Stand 26.11.2021 eine Maskenpflicht gilt.

    Dieser Umriss wird in maschinenlesbarem Format als GeoJSON-Datei zum Download zur Verfügung gestellt.

    Bitte beachten Sie: Der Umriss wurde sorgfältig erstellt, und enthält die im Amtsblatt vom 26.11.2021 genannten Plätze und Straßenabschnitte. Dennoch kann mit dieser Datei nur einen ungefährer Anhaltspunkt gegeben werden und sie besitzt keine Rechtsverbindlichkeit. Sie können diese GeoJSON-Datei z.B. für Darstellungen in Online-Kartendiensten wie OpenStreetmaps oder Google Maps nutzen.

    Weitere Informationen wie z.B. eine textuelle Beschreibung des Bereiches, Infos zur Dauer der Maskenpflicht oder eine Visualisierung des Umrisses im Stadtplan erhalten Sie im Amtsblatt vom 29. November 2021 unter der folgenden Internetadresse:
    https://www.stadt-muenster.de/amtsblatt.html

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AllHeart Web Inc, Json Fiber (Name) - Reverse Whois Lookup [Dataset]. https://whoisdatacenter.com/name/Json-Fiber/
Organization logo

Json Fiber (Name) - Reverse Whois Lookup

Explore at:
csvAvailable download formats
Dataset provided by
Authors
AllHeart Web Inc
License

https://whoisdatacenter.com/terms-of-use/https://whoisdatacenter.com/terms-of-use/

Time period covered
Mar 15, 1985 - Jul 30, 2025
Description

Investigate historical ownership changes and registration details by initiating a reverse Whois lookup for the name Json Fiber.

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