29 datasets found
  1. a

    TU SEPTA Rail

    • gis-temple.opendata.arcgis.com
    • hub.arcgis.com
    Updated May 8, 2018
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    Temple University (2018). TU SEPTA Rail [Dataset]. https://gis-temple.opendata.arcgis.com/items/f02bfa14dde54b95b46940842c238093
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    Dataset updated
    May 8, 2018
    Dataset authored and provided by
    Temple University
    Area covered
    Description

    OPERATOR: Describes the name of the rail operator. {String} LINE_NAME: Describes the name of the rail line. {String} TYPE: Describes the type of rail line. {String} STATE: Describes the name of the state the rail line is in. {String} CO_NAME: Describes the name of the county the rail line is in. {String}

  2. a

    TU Diamond Dollars

    • gis-temple.opendata.arcgis.com
    • hub.arcgis.com
    Updated May 8, 2018
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    Temple University (2018). TU Diamond Dollars [Dataset]. https://gis-temple.opendata.arcgis.com/datasets/tu-diamond-dollars
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    Dataset updated
    May 8, 2018
    Dataset authored and provided by
    Temple University
    Description

    Locations of all vendors that take Diamond Dollars (pre-paid amounts loaded onto Temple IDs) on Main Campus. Created May 8th 2018, last updated October 17th 2018.

  3. a

    All Campuses Acreage

    • hub.arcgis.com
    • gis-temple.opendata.arcgis.com
    Updated Oct 17, 2019
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    Temple University (2019). All Campuses Acreage [Dataset]. https://hub.arcgis.com/maps/Temple::all-campuses-acreage
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    Dataset updated
    Oct 17, 2019
    Dataset authored and provided by
    Temple University
    Area covered
    Description

    Layer: Describes the feature type (Athletic Fields, Buildings, etc). {String} Acreage: Describes the amount of acres. {Double} Surface: Describes the permeability of the surface. {String} Campus: Describes which Temple campus. {String}

  4. S

    Faith Based Organizations

    • data.sanjoseca.gov
    • gisdata-csj.opendata.arcgis.com
    Updated Apr 28, 2025
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    Enterprise GIS (2025). Faith Based Organizations [Dataset]. https://data.sanjoseca.gov/dataset/faith-based-organizations
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    arcgis geoservices rest api, kml, csv, zip, geojsonAvailable download formats
    Dataset updated
    Apr 28, 2025
    Dataset provided by
    City of San José
    Authors
    Enterprise GIS
    Description

    Faith based organizations in San Jose, CA. Includes churches, temples, parishes, mosques, synagogues, and others. The list is for reference, is not an official inventory, and not guaranteed to be accurate.

    Data is published on Mondays on a weekly basis.

  5. f

    Additional file 1 of Exploring visitors’ visual perception along the spatial...

    • figshare.com
    xls
    Updated Aug 14, 2024
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    Kai Zhou; Wenting Wu; Tianjie Li; Xiaoling Dai (2024). Additional file 1 of Exploring visitors’ visual perception along the spatial sequence in temple heritage spaces by quantitative GIS methods: a case study of the Daming Temple, Yangzhou City, China [Dataset]. http://doi.org/10.6084/m9.figshare.26640241.v1
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Aug 14, 2024
    Dataset provided by
    figshare
    Authors
    Kai Zhou; Wenting Wu; Tianjie Li; Xiaoling Dai
    Area covered
    Yangzhou, China
    Description

    Additional file 1.

  6. a

    TU Handicap Parking

    • gis-temple.opendata.arcgis.com
    Updated May 8, 2018
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    Temple University (2018). TU Handicap Parking [Dataset]. https://gis-temple.opendata.arcgis.com/items/fccfab9e4c364d94a607c235651257ba
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    Dataset updated
    May 8, 2018
    Dataset authored and provided by
    Temple University
    Area covered
    Description

    Lot/Building Name: Describes the name of the lot/building. {String} Location: Describes who manages the building. {String} Total Spaces: Defines the total amount of spaces for each lot/building. {String} Van Accessible: Describes if the building/lot is van accessible. {String}

  7. a

    Religious Organizations 2019

    • hub.arcgis.com
    • data.cityofrochester.gov
    Updated Feb 18, 2020
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    City of Rochester, NY (2020). Religious Organizations 2019 [Dataset]. https://hub.arcgis.com/datasets/bf76e9e77a524438864b47b763740cdc_0
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    Dataset updated
    Feb 18, 2020
    Dataset authored and provided by
    City of Rochester, NY
    Area covered
    Description

    This data is sourced from ESRI Business Analyst, which has a built in Business and Facilities search. Searching by NAICS industry code a user can return a list of points matching the criteria. Code 813110 returns religious organizations.The data includes a feature layer with a point for each church, synagogue, mosque, or other religious institution within the city of Rochester. This includes name and address of each institution.

  8. s

    Places of Worship

    • opendata.starkcountyohio.gov
    • ohiogide-geohio.opendata.arcgis.com
    • +3more
    Updated Jan 12, 2015
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    Stark County Ohio (2015). Places of Worship [Dataset]. https://opendata.starkcountyohio.gov/datasets/places-of-worship
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    Dataset updated
    Jan 12, 2015
    Dataset authored and provided by
    Stark County Ohio
    Area covered
    Description

    This layer serves as an inventory of places of worship within Stark County, Ohio. It is part of the Stark County Community Features umbrella of layers, which includes CommunityFeatures, LiveWorkLocate, and EmergencyResponseFacilities. These layers depict places of interest throughout the county, including Airfields and Helipads, Colleges and Universities, Corporate Headquarters, EMS Facilities, Event Venues, Fire Stations, Golf Courses, Hospitals and Health Clinics, Museums and Historic Landmarks, Parks and Recreation Areas, Places of Worship, Police Stations, Post Offices, Public Libraries, Retail Centers, Schools and Daycares, and Senior Citizen Centers. These "community features" were first inventoried and digitized by the Stark County Regional Planning Commission (RPC) in 2008. The initial inventory was a collaborative effort between RPC and each community within the county, who provided lists of their respective features. Since then, each layer is periodically updated by RPC and Stark County GIS.

  9. Digital Geologic Map of the Temple Hill quadrangle, Kentucky (NPS, GRD, GRE,...

    • catalog.data.gov
    • datadiscoverystudio.org
    • +2more
    Updated Nov 5, 2021
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    National Park Service (2021). Digital Geologic Map of the Temple Hill quadrangle, Kentucky (NPS, GRD, GRE, MACA) [Dataset]. https://catalog.data.gov/sv/dataset/digital-geologic-map-of-the-temple-hill-quadrangle-kentucky-nps-grd-gre-maca
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    Dataset updated
    Nov 5, 2021
    Dataset provided by
    National Park Servicehttp://www.nps.gov/
    Area covered
    Kentucky, Temple Hill
    Description

    The Digital Geologic Map of the Temple Hill quadrangle, Kentucky is composed of GIS data layers, two ancillary GIS tables, a Windows Help File with ancillary map text, figures and tables, GIS data layer and table FGDC metadata and ArcMap 9.1 layer (.LYR) files. The data were completed as a component of the Geologic Resources Evaluation (GRE) program, a National Park Service (NPS) Inventory and Monitoring (I&M) funded program that is administered by the NPS Geologic Resources Division (GRD). All GIS and ancillary tables were produced as per the NPS GRE Geology-GIS Geodatabase Data Model v. 1.4. (available at: http://science.nature.nps.gov/im/inventory/geology/GeologyGISDataModel.cfm). The GIS data is available as a 9.1 personal geodatabase (tehi_geology.mdb), as coverage and table export (.E00) files, and as a shapefile (.SHP) and DBASEIV (.DBF) table files. The GIS data projection is NAD83, UTM Zone 16N. That data is within the area of interest of Mammoth Cave National Park.

  10. d

    Data from: Tikal Report 11: Georeferenced Map- "Encanto Quadrangle" (without...

    • search.dataone.org
    Updated Aug 30, 2013
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    Carr, Christopher (University of Cincinnati, Department of Geography) (2013). Tikal Report 11: Georeferenced Map- "Encanto Quadrangle" (without border) [Dataset]. http://doi.org/10.6067/XCV8DN45XF
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    Dataset updated
    Aug 30, 2013
    Dataset provided by
    the Digital Archaeological Record
    Authors
    Carr, Christopher (University of Cincinnati, Department of Geography)
    Area covered
    Description

    These maps are georeferenced versions of the maps produced by The University Museum, University of Pennsylvania, project at Tikal, Guatemala and published as Tikal Report 11. These georeferenced maps are intended for use with GIS (Geographic Information System) software. The maps should be useful for archaeologists, tourists and managers of Tikal National Park. This map set consists of eleven georeferenced maps. The set includes two versions of the overview map of the central sixteen square kilometers of Tikal—the "Ruins of Tikal" map. One version includes the map border. The other version is without the border. The nine remaining maps cover the inner nine square kilometers in detail, without borders. The maps were georeferenced as part of a University of Cincinnati project in Tikal, under permit of the Guatemalan government. The UC Project georeferenced the maps using land survey methods. We created transformation equations based on a point of beginning, a reference direction and a map scale. Directions and distances on the ground were transformed into UTM projected directions and distances. The point of beginning was the Petty Company benchmark shown on the "Camp Quad" map. In 2010 we determined the location with a GPS receiver. We accessed both the horizontal and vertical accuracy of the georeferenced maps. Based on 96 test points spread throughout the area of the maps, we found the median horizontal accuracy of the maps, compared to GPS, to be 5.6 meters. Based on 103 test points spread throughout the area of the maps, we found the median vertical accuracy of the maps, compared to a NASA radar altimetry mission, to be 2.1 meters. The borders of the maps were removed so the set of maps will “seamlessly” fit together in GIS. See Tikal Report No.11 for versions of the maps with borders (one version of the georeferenced "Ruins of Tikal" map includes the border). The georeferencing files are optimized for use in ArcGIS version 9.2 and beyond. The PDF file of TR11 from which these maps were extracted was made with the generous assistance of the University Museum Library and the Tikal Archives. Details of the georeferencing and accuracy check are in a report to the Dirección Patrimonio Cultural y Natural de Guatemala: Christopher Carr, Eric Weaver, Nicholas Dunning, and Vernon Scarborough (2011) EVALUACIÓN DE LA EXACTITUD DE LOS MAPAS DE TIKAL DE LA UNIVERSIDAD DE PENNSYLVANIA, POR GPS Y ESTACIÓN TOTAL (Accuracy assessment of the Penn Project maps of Tikal, by GPS and Total Station). In Lentz, D., C. Ramos, N. Dunning, V. Scarborough and L. Grazioso. PROYECTO DE SILVICULTURA Y MANEJO DE AGUAS DE LOS ANTIGUOS MAYAS DE TIKAL. Additional details of the strategies the Penn Project used to produce these high quality maps, the georeferencing methodology, and the accuracy check process are forthcoming in a book chapter. The book is on the UC project at Tikal, to be published by Cambridge University Press. The chapter is Carr, Weaver, Dunning and Scarborough. Bringing the University of Pennsylvania maps of Tikal into the era of electronic GIS. In Lentz, Dunning, Scarborough (eds). Tikal and Maya Ecology: Water, Landscapes and Resilience. Permission to publish these maps must be secured from: The University of Pennsylvania Museum of Archaeology and Anthropology, 3260 South Street, Philadelphia, PA 19104, Tel: (215) 898-4050, Fax: (215) 573-9369, Email: publications@pennmuseum.org. .................................................................................................................. Estos mapas son versiones georeferenciados de los mapas producidos por el Museo Universitario de la Universidad de Pennsylvania, Proyecto Tikal, Guatemala y publicado como Informe de Tikal No. 11. La intensión de estos mapas georeferenciados es para ser utilizados con el Sistema de Información Geográfica (SIG). Los mapas deben ser útiles para los arqueólogos, los turistas y los administradores del Parque Nacional Tikal. Este conjunto de mapas consta de once mapas georreferenciados. El juego incluye dos versiones del mapa general de los 16 km2 centrales del mapa de las "Ruins of Tikal". Una versión del mapa incluye sus encuadrados. La otra versión esta sin los encuadrados. Los nueve mapas restantes cubren los mapas interiores de 9 km2 en detalle, sin encuadrados. Los mapas fueron georeferenciados como parte de un proyecto de la Universidad de Cincinnati en Tikal, con permiso del Ministerio de Cultura y Deportes del Gobierno de Guatemala. El Proyecto de la Universidad de Cincinnati georeferenció los mapas utilizando métodos de reconocimiento de campo. Creamos ecuaciones de transformación basado en un punto de inicio, una dirección de referencia y un mapa a escala. Direcciones y distancias en el campo se transformaron en direcciones proyectadas UTM y distancias. El punto de inicio fue el punto de refere... Visit https://dataone.org/datasets/doi%3A10.6067%3AXCV8DN45XF_meta%24v%3D1377896033604 for complete metadata about this dataset.

  11. a

    TU Electric Car Station

    • hub.arcgis.com
    • gis-temple.opendata.arcgis.com
    Updated May 8, 2018
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    Temple University (2018). TU Electric Car Station [Dataset]. https://hub.arcgis.com/maps/Temple::tu-electric-car-station
    Explore at:
    Dataset updated
    May 8, 2018
    Dataset authored and provided by
    Temple University
    Description

    Number of cords: Provides the number of cords for the electric car charging station. {String} Location: Provides the building or garage on Temple's campus. {String}

  12. a

    Places of Worship

    • montgomery-county-gis-open-data-2025-mcgov-gis.hub.arcgis.com
    • opendata-mcgov-gis.hub.arcgis.com
    • +1more
    Updated Oct 18, 2023
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    Montgomery County, MD (2023). Places of Worship [Dataset]. https://montgomery-county-gis-open-data-2025-mcgov-gis.hub.arcgis.com/datasets/places-of-worship-4
    Explore at:
    Dataset updated
    Oct 18, 2023
    Dataset authored and provided by
    Montgomery County, MD
    Area covered
    Description

    Updated as needed by TEBS-GIS using various sources and input from CEC's Faith LiaisonCan be downloaded from the GIS Data Portal here.Access directly in the TEBS-GIS database in SDE.LOCATIONS, SDE.Pl_of_Worship

  13. s

    MSOA (2011) to Ward (2020) to LAD (2020) Best Fit Lookup in EW (V2)

    • geoportal.statistics.gov.uk
    • hub.arcgis.com
    Updated Jan 22, 2021
    + more versions
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    Office for National Statistics (2021). MSOA (2011) to Ward (2020) to LAD (2020) Best Fit Lookup in EW (V2) [Dataset]. https://geoportal.statistics.gov.uk/maps/ons::msoa-2011-to-ward-2020-to-lad-2020-best-fit-lookup-in-ew-v2
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    Dataset updated
    Jan 22, 2021
    Dataset authored and provided by
    Office for National Statistics
    License

    https://www.ons.gov.uk/methodology/geography/licenceshttps://www.ons.gov.uk/methodology/geography/licences

    Area covered
    Description

    This file is a best fit lookup between 2011 middle layer super output areas, electoral wards/divisions and local authority districts in England and Wales as at 31 December 2020. (File Size - 1 MB) Field Names - MSOA11CD, MSOA11NM, WD20CD, WD20NM, LAD20CD, LAD20NM, FIDField Types - Text, Text, Text, Text, Text, Text,Field Lengths - 9, 32, 9, 53, 9, 35NB: Electoral Change orders operative in May 2020 postponed until May 2021File updated following late receipt of The Leeds (Reorganisation of Community Governance) Amendment Order 2018. Boundary and code change for Garforth & Swillington, and Temple Newsam wards)FID = The FID, or Feature ID is created by the publication process when the names and codes / lookup products are published to the Open Geography portal. REST URL of Feature Access Service – https://services1.arcgis.com/ESMARspQHYMw9BZ9/arcgis/rest/services/MSOA11_WD20_LAD20_EW_LU_v2_fe9d3f4903fe4ae1b1141625ae912e60/FeatureServer

    For more information and an overview of best-fitting follow this link - https://geoportal.statistics.gov.uk/datasets/f0aac7ccbfd04cda9eb03e353c613faa/about

  14. a

    TU Bike Repair Stations

    • gis-temple.opendata.arcgis.com
    Updated May 8, 2018
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    Temple University (2018). TU Bike Repair Stations [Dataset]. https://gis-temple.opendata.arcgis.com/maps/tu-bike-repair-stations
    Explore at:
    Dataset updated
    May 8, 2018
    Dataset authored and provided by
    Temple University
    Area covered
    Description

    Condition: Describes the condition of the bike repair station. {String}Issue: Describes the issue with the bike repair station. {String}

  15. a

    Places Of Worship

    • portal-nolagis.opendata.arcgis.com
    Updated Jul 5, 2017
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    City of New Orleans (2017). Places Of Worship [Dataset]. https://portal-nolagis.opendata.arcgis.com/maps/84237385c00642fdae8681af7a10c5e1
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    Dataset updated
    Jul 5, 2017
    Dataset authored and provided by
    City of New Orleans
    Area covered
    Description

    Places of Worship in New Orleans

  16. a

    TU Car Shares

    • gis-temple.opendata.arcgis.com
    Updated May 8, 2018
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    Temple University (2018). TU Car Shares [Dataset]. https://gis-temple.opendata.arcgis.com/datasets/tu-car-shares
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    Dataset updated
    May 8, 2018
    Dataset authored and provided by
    Temple University
    Area covered
    Description

    Total Cars: Describes the total amount of cars present at the time share. {String} Company: Describes the car share company/owner. {String}

  17. a

    TU Curb Cuts

    • hub.arcgis.com
    • gis-temple.opendata.arcgis.com
    Updated May 8, 2018
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    Temple University (2018). TU Curb Cuts [Dataset]. https://hub.arcgis.com/datasets/eee663dc61b24f819ac565d830d993b5
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    Dataset updated
    May 8, 2018
    Dataset authored and provided by
    Temple University
    Area covered
    Description

    Accessible: Describes if the curb cut is accessible. {String}

  18. a

    Places of Worship

    • hub.arcgis.com
    Updated Mar 26, 2024
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    City of Richardson, Texas (2024). Places of Worship [Dataset]. https://hub.arcgis.com/maps/richardson::places-of-worship-2
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    Dataset updated
    Mar 26, 2024
    Dataset authored and provided by
    City of Richardson, Texas
    Area covered
    Description

    Contains place of worship locations categorized in the following primary categories: Buddhist temple, Church, Mosque, Synagogue, Other. This is NOT a complete layer - as no clear data source exists for regular verification. Please contact the GIS staff with any questions about this dataset.QA/QC by visual inspection of layer with orthos, internet checks, parcel ownership.

  19. a

    TU Food Trucks on Main Campus

    • hub.arcgis.com
    • gis-temple.opendata.arcgis.com
    Updated May 8, 2018
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    Temple University (2018). TU Food Trucks on Main Campus [Dataset]. https://hub.arcgis.com/maps/Temple::tu-food-trucks-on-main-campus/about
    Explore at:
    Dataset updated
    May 8, 2018
    Dataset authored and provided by
    Temple University
    Description

    All Temple food trucks on main campus as of June 2019. Created May 8th 2018, last updated June 6th 2019.

  20. a

    TU Flight Stops

    • hub.arcgis.com
    • gis-temple.opendata.arcgis.com
    Updated May 8, 2018
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    Temple University (2018). TU Flight Stops [Dataset]. https://hub.arcgis.com/maps/Temple::tu-flight-stops
    Explore at:
    Dataset updated
    May 8, 2018
    Dataset authored and provided by
    Temple University
    Area covered
    Description

    Locations of all Flight stops (the university's bus transit for students) on and around Main Campus. Created May 8th 2018, last updated October 17th 2018.

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Temple University (2018). TU SEPTA Rail [Dataset]. https://gis-temple.opendata.arcgis.com/items/f02bfa14dde54b95b46940842c238093

TU SEPTA Rail

Explore at:
Dataset updated
May 8, 2018
Dataset authored and provided by
Temple University
Area covered
Description

OPERATOR: Describes the name of the rail operator. {String} LINE_NAME: Describes the name of the rail line. {String} TYPE: Describes the type of rail line. {String} STATE: Describes the name of the state the rail line is in. {String} CO_NAME: Describes the name of the county the rail line is in. {String}

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