31 datasets found
  1. O

    County Map Books

    • data.sccgov.org
    application/rdfxml +5
    Updated Aug 20, 2021
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    Santa Clara County Archives (2021). County Map Books [Dataset]. https://data.sccgov.org/Government/County-Map-Books/f5uv-khdt
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    csv, json, application/rssxml, tsv, xml, application/rdfxmlAvailable download formats
    Dataset updated
    Aug 20, 2021
    Dataset authored and provided by
    Santa Clara County Archives
    Description

    The Map Books consist of approximately 5,900 maps recorded with the county dating from circa 1850 to 1957. Recorded documents include subdivisions, surveys of property, cemetery plans, and other maps. Information on each map includes date recorded, person recorded for, and title of survey. Additional information may include notarized statement by property owner, statement by licensed surveyor, notice of approval by board of supervisors, and additional approvals by county or city officials. These maps are bound into 108 volumes. The archives have volumes A through Z, and volumes 1 through 82. Volumes not included are 44, 46, 48, 50, 51, 53, 55, 57, 59, 66, 68, 71, 73, 76, and 81.

  2. a

    Parcel Map Index

    • hub.arcgis.com
    • gis-cupertino.opendata.arcgis.com
    Updated Oct 16, 2015
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    City of Cupertino (2015). Parcel Map Index [Dataset]. https://hub.arcgis.com/maps/Cupertino::parcel-map-index
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    Dataset updated
    Oct 16, 2015
    Dataset authored and provided by
    City of Cupertino
    License

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

    Area covered
    Description

    Parcel Map Index is a Polygon FeatureClass showing approximate boundaries of Parcel Map recorded at Santa Clara County Clerk Recorders Office. Records are indexed by City assigned Parcel Map number. It is primarily used as a reference layer. The layer is updated as needed by the GIS Division. Parcel Map Index has the following fields:

    OBJECTID: Unique identifier automatically generated by Esri type: OID, length: 4, domain: none

    Parcel: The Assessor's Parcel Number type: String, length: 7, domain: none

    created_date: The date the database row was initially created type: Date, length: 8, domain: none

    last_edited_date: The date the database row was last updated type: Date, length: 8, domain: none

    Shape: Field that stores geographic coordinates associated with feature type: Geometry, length: 4, domain: none

    BookPage:

    type: String, length: 50, domain: none

    Shape.STArea():

    The area of the shape - in square feet type: Double, length: 0, domain: none

    Shape.STLength():

    The length of the shape - in feet type: Double, length: 0, domain: none

  3. K

    Santa Clara County, California Right of Way

    • koordinates.com
    csv, dwg, geodatabase +6
    Updated Sep 10, 2018
    + more versions
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    Santa Clara County, California (2018). Santa Clara County, California Right of Way [Dataset]. https://koordinates.com/layer/96568-santa-clara-county-california-right-of-way/
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    shapefile, kml, geodatabase, geopackage / sqlite, pdf, mapinfo mif, mapinfo tab, csv, dwgAvailable download formats
    Dataset updated
    Sep 10, 2018
    Dataset authored and provided by
    Santa Clara County, California
    Area covered
    Description

    A visual representation of street right-of-way boundaries within Santa Clara County.

    THE GIS DATA IS PROVIDED "AS IS". THE COUNTY MAKES NO WARRANTIES, EXPRESS OR IMPLIED, INCLUDING WITHOUT LIMITATION, ANY IMPLIED WARRANTIES OR MERCHANTABILITY AND/OR FITNESS FOR A PARTICULAR PURPOSE, REGARDING THE ACCURACY, COMPLETENESS, VALUE, QUALITY, VALIDITY, MERCHANTABILITY, SUITABILITY, AND CONDITION, OF THE GIS DATA. USER'S OF COUNTY'S GIS DATA ARE HEREBY NOTIFIED THAT CURRENT PUBLIC PRIMARY INFORMATION SOURCES SHOULD BE CONSULTED FOR VERIFICATION OF THE DATA AND INFORMATION CONTAINED HEREIN. SINCE THE GIS DATA IS DYNAMIC, IT WILL BY ITS NATURE BE INCONSISTENT WITH THE OFFICIAL COUNTY DATA. ANY USE OF COUNTY'S GIS DATA WITHOUT CONSULTING OFFICIAL PUBLIC RECORDS FOR VERIFICATION IS DONE EXCLUSIVELY AT THE RISK OF THE PARTY MAKING SUCH USE.

    © 2017, County of Santa Clara

    This layer is a component of SCCMap1.

  4. a

    Tract Map Index

    • hub.arcgis.com
    • gis-cupertino.opendata.arcgis.com
    Updated Oct 16, 2015
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    City of Cupertino (2015). Tract Map Index [Dataset]. https://hub.arcgis.com/maps/Cupertino::tract-map-index
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    Dataset updated
    Oct 16, 2015
    Dataset authored and provided by
    City of Cupertino
    License

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

    Area covered
    Description

    Tract Map Index is a Polygon FeatureClass representing approximate boundaries of tract maps recorded at Santa Clara County Clerk Recorders Office. Records are indexed by county assigned Tract number. It is primarily used as a reference layer. The layer is updated as needed by the GIS Division. Tract Map Index has the following fields:

    OBJECTID: Unique identifier automatically generated by Esri type: OID, length: 4, domain: none

    TRACT: Field used to identify the number of the census tract type: String, length: 7, domain: none

    Shape: Field that stores geographic coordinates associated with feature type: Geometry, length: 4, domain: none

    last_edited_date:

    The date the database row was last updated type: Date, length: 8, domain: none

    created_date:

    The date the database row was initially created type: Date, length: 8, domain: none

    Shape.STArea():

    The area of the shape - in square feet type: Double, length: 0, domain: none

    Shape.STLength():

    The length of the shape - in feet type: Double, length: 0, domain: none

  5. O

    G. McMillan and Percy W. McMillan Survey Collection

    • data.sccgov.org
    application/rdfxml +5
    Updated May 4, 2023
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    Santa Clara County Archives (2023). G. McMillan and Percy W. McMillan Survey Collection [Dataset]. https://data.sccgov.org/w/k84n-xtnt/default?cur=wf0QfDSr9xU
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    application/rssxml, xml, csv, application/rdfxml, json, tsvAvailable download formats
    Dataset updated
    May 4, 2023
    Dataset authored and provided by
    Santa Clara County Archives
    Description

    The McMillan Surveyor Records consist of land surveys created by County Surveyor John G. McMillan and his son Percy W. McMillan for their business McMillan & McMillan, Civil Engineers and Surveyors. John G. McMillan served as County Surveyor from 1890-1914. The Records also include notes, maps, and letters.

  6. a

    Footprint

    • data-mountainview.opendata.arcgis.com
    Updated Apr 18, 2024
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    County of Santa Clara (2024). Footprint [Dataset]. https://data-mountainview.opendata.arcgis.com/maps/sccgov::footprint-1
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    Dataset updated
    Apr 18, 2024
    Dataset authored and provided by
    County of Santa Clara
    License

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

    Area covered
    Description

    This web map service will be retired by June 1st, 2025. A new map service has been deployed in the Santa Clara County GIS Portal. *** Please use this link to access the new image service: Ortho Imagery 2023 *** https://maps.sccgov.org/arcgis/home/item.html?id=233d1441787b4634b064671a222fec01This metadata record describes the 0.25-foot pixel resolution digital orthoimagery produced for Santa Clara County by the Sanborn Map Company. The orthoimagery provided is 4-band (R, G, B, NIR), 8-bit per pixel and delivered in section tiles in uncompressed TIFF/TFW, compressed SID/SDW (10:1) and compressed JP2000 (10:1) formats. The data was collected between November 15, 2022 and December 20, 2022 at an altitude of 5000 feet (AGL) using an UltraCam Eagle M3 camera and complies with the ASPRS Class 1 accuracy standards, at 1" = 50'.This metadata record describes the 0.5-foot pixel resolution digital orthoimagery produced for Santa Clara County by the Sanborn Map Company. The orthoimagery provided is 4-band (R, G, B, NIR), 8-bit per pixel and delivered in section tiles in uncompressed TIFF/TFW, compressed SID/SDW (10:1) and compressed JP2000 (10:1) formats. The data was collected between December 18, 2022 and February 20, 2023 at an altitude of 13800 feet (AGL) using an UltraCam Eagle M3 camera and complies with the ASPRS Class 1 accuracy standards, at 1" = 100'. This orthoimagery was collected in California State Plane Zone III North, NAD 83 (2011), U.S. Survey Feet. For publishing purpose, this service is reprojected into WGS 1984 Web Mercator Auxiliary Sphere.

  7. Vegetation - Santa Clara and Santa Cruz Counties [ds3116]

    • data.cnra.ca.gov
    • data.ca.gov
    • +3more
    Updated Jun 27, 2025
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    California Department of Fish and Wildlife (2025). Vegetation - Santa Clara and Santa Cruz Counties [ds3116] [Dataset]. https://data.cnra.ca.gov/dataset/vegetation-santa-clara-and-santa-cruz-counties-ds3116
    Explore at:
    html, zip, arcgis geoservices rest api, gdb, txt, gpkg, xlsx, kml, csv, geojsonAvailable download formats
    Dataset updated
    Jun 27, 2025
    Dataset authored and provided by
    California Department of Fish and Wildlifehttps://wildlife.ca.gov/
    License

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

    Area covered
    Santa Cruz, Santa Clara
    Description

    Under contract to the Santa Cruz Mountains Stewardship Network with support from the Golden Gate National Parks Conservancy, and staffed by personnel from Tukman Geospatial, Aerial Information Systems (AIS), and Kass Green and Associates, Tukman Geospatial and Aerial Information Systems created a fine-scale vegetation map of portions of Santa Cruz and Santa Clara Counties. CDFW’s Vegetation Classification and Mapping Program (VegCAMP) provided in-kind service to allocate and score the AA.

    The mapping study area, consists of approximately 1,133,106.8 acres, of Santa Clara and Santa Cruz counties. Work was performed on the project between 2020 and 2023. The Santa Cruz and Santa Clara fine-scale vegetation map was designed for a broad audience for use at many floristic and spatial scales and is useful to managers interested in specific information about vegetation composition and forest health.

    CNPS under separate contract and in collaboration with CDFW VegCAMP developed the floristic vegetation classification used for the project. The floristic classification follows protocols compliant with the Federal Geographic Data Committee (FGDC) and National Vegetation Classification Standards (NVCS).

    The vegetation map was produced with countywide vegetation survey data and combined with surveys from CNPS. Trimble® Ecognition® followed by manual image interpretation that was used to map lifeforms. Fine-scale segmentation was conducted using Trimble Ecognition® and relies on summer 2020 4-band NAIP, the 2020 lidar-derived canopy height model, and a suite of spectral indices derived from the NAIP. They utilized a type of algorithmic data modeling known as machine learning to automate the classification of fine-scale segments into one of Santa Cruz and Santa Clara Counties 121 fine-scale map classes. The minimum mapping unit (MMU) is set by feature type. For agricultural classes, the MMU is 1/4 acre, for woody upland classes is 1/2 acre, woody riparian is 1/4 acre, upland herbaceous is 1/2 acre, wetland herbaceous is 1/4 acre. Bare land is 1/2 acre, impervious features is 1000 square feet, while developed is 1/5 acre and water is 400 square feet.

    Field reconnaissance and accuracy assessment enhanced map quality. There was a total of 121 mapping classes. The overall Fuzzy Accuracy Assessment rating for the final vegetation map, map at the Alliance and Group levels, is 92 percent. More information can be found in the project report, which is bundled with the vegetation map published for BIOS here: https://filelib.wildlife.ca.gov/Public/BDB/GIS/BIOS/Public_Datasets/3100_3199/ds3116.zip.

  8. w

    Geologic maps and structure sections of the southwestern Santa Clara Valley...

    • data.wu.ac.at
    • datadiscoverystudio.org
    • +1more
    tar
    Updated Jun 8, 2018
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    Department of the Interior (2018). Geologic maps and structure sections of the southwestern Santa Clara Valley and southern Santa Cruz Mountains, Santa Clara and Santa Cruz Counties, California [Dataset]. https://data.wu.ac.at/schema/data_gov/YWNiMDEzOWItOGM2OC00ZGYwLThkNjktNmI4M2ZjMzQzZDJi
    Explore at:
    tarAvailable download formats
    Dataset updated
    Jun 8, 2018
    Dataset provided by
    Department of the Interior
    Area covered
    b186b9c87c11931aea69fc668f79d52f11c0e446
    Description

    This digital map database, compiled from previously published and unpublished data, and new mapping by the authors, represents the general distribution of bedrock and surficial deposits in the mapped area. Together with the accompanying text file (scvmf.ps, scvmf.pdf, scvmf.txt), it provides current information on the geologic structure and stratigraphy of the area covered. The database delineates map units that are identified by general age and lithology following the stratigraphic nomenclature of the U.S. Geological Survey. The scale of the source maps limits the spatial resolution (scale) of the database to 1:24,000 or smaller.

  9. K

    Santa Clara County, California County Bridges

    • koordinates.com
    csv, dwg, geodatabase +6
    Updated Sep 10, 2018
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    Santa Clara County, California (2018). Santa Clara County, California County Bridges [Dataset]. https://koordinates.com/layer/96564-santa-clara-county-california-county-bridges/
    Explore at:
    mapinfo mif, dwg, geodatabase, shapefile, kml, csv, geopackage / sqlite, pdf, mapinfo tabAvailable download formats
    Dataset updated
    Sep 10, 2018
    Dataset authored and provided by
    Santa Clara County, California
    Area covered
    Description

    All locations of bridges maintained by the County of Santa Clara, Bridge Division of the Roads and Aiport Department are included in this data set. Each bridge location is represented by the bridge symbol and labelled with the National Bridge Database Index number. This layer is visiable at all map scales, and the bridge number label is visiable beginning at the city level.

    Origin: Bridge Division, Roads and Airport Department, Santa Clara County. Currency: June 16, 2017 Update frequency: Not available

    THE GIS DATA IS PROVIDED "AS IS". THE COUNTY MAKES NO WARRANTIES, EXPRESS OR IMPLIED, INCLUDING WITHOUT LIMITATION, ANY IMPLIED WARRANTIES OR MERCHANTABILITY AND/OR FITNESS FOR A PARTICULAR PURPOSE, REGARDING THE ACCURACY, COMPLETENESS, VALUE, QUALITY, VALIDITY, MERCHANTABILITY, SUITABILITY, AND CONDITION, OF THE GIS DATA. USER'S OF COUNTY'S GIS DATA ARE HEREBY NOTIFIED THAT CURRENT PUBLIC PRIMARY INFORMATION SOURCES SHOULD BE CONSULTED FOR VERIFICATION OF THE DATA AND INFORMATION CONTAINED HEREIN. SINCE THE GIS DATA IS DYNAMIC, IT WILL BY ITS NATURE BE INCONSISTENT WITH THE OFFICIAL COUNTY DATA. ANY USE OF COUNTY'S GIS DATA WITHOUT CONSULTING OFFICIAL PUBLIC RECORDS FOR VERIFICATION IS DONE EXCLUSIVELY AT THE RISK OF THE PARTY MAKING SUCH USE.

    © © 2017, County of Santa Clara, All rights reserved This layer is a component of SCCBridge1.

    This map service provides the locations of bridges maintained by the County of Santa Clara, Bridge Division of the Roads and Aiport Department. Last modified in June 2017.

    © Santa Clara County, 2017

  10. d

    Preliminary quaternary geologic maps of Santa Clara Valley, Santa Clara,...

    • datadiscoverystudio.org
    z
    Updated May 21, 2018
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    (2018). Preliminary quaternary geologic maps of Santa Clara Valley, Santa Clara, Alameda, and San Mateo counties, California: A digital database. [Dataset]. http://datadiscoverystudio.org/geoportal/rest/metadata/item/06b17138d35243ad8583c58c22bb9c9c/html
    Explore at:
    zAvailable download formats
    Dataset updated
    May 21, 2018
    Area covered
    Santa Clara Valley
    Description

    description: This digital map database, which is compiled from previously unpublished and open-filed U.S. Geol. Survey reports (Wesling and Helley, 1989), represents the general distribution and identity of Quaternary deposits in eight 7.5 minute quadrangles in the southern San Francisco Bay region, California.; abstract: This digital map database, which is compiled from previously unpublished and open-filed U.S. Geol. Survey reports (Wesling and Helley, 1989), represents the general distribution and identity of Quaternary deposits in eight 7.5 minute quadrangles in the southern San Francisco Bay region, California.

  11. O

    Hospitals Areas

    • data.sccgov.org
    Updated May 2, 2023
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    (2023). Hospitals Areas [Dataset]. https://data.sccgov.org/dataset/Hospitals-Areas/frv5-z7ap
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    application/rssxml, csv, application/rdfxml, tsv, xml, kmz, application/geo+json, kmlAvailable download formats
    Dataset updated
    May 2, 2023
    Description

    Hospital Area with Santa Clara County . Created in 2011 from ESRI Maps & Data 2008-09. Modified by Santa Clara County - 2016. THE GIS DATA IS PROVIDED "AS IS". THE COUNTY MAKES NO WARRANTIES, EXPRESS OR IMPLIED, INCLUDING WITHOUT LIMITATION, ANY IMPLIED WARRANTIES OR MERCHANTABILITY AND/OR FITNESS FOR A PARTICULAR PURPOSE, REGARDING THE ACCURACY, COMPLETENESS, VALUE, QUALITY, VALIDITY, MERCHANTABILITY, SUITABILITY, AND CONDITION, OF THE GIS DATA. USER'S OF COUNTY'S GIS DATA ARE HEREBY NOTIFIED THAT CURRENT PUBLIC PRIMARY INFORMATION SOURCES SHOULD BE CONSULTED FOR VERIFICATION OF THE DATA AND INFORMATION CONTAINED HEREIN. SINCE THE GIS DATA IS DYNAMIC, IT WILL BY ITS NATURE BE INCONSISTENT WITH THE OFFICIAL COUNTY DATA. ANY USE OF COUNTY'S GIS DATA WITHOUT CONSULTING OFFICIAL PUBLIC RECORDS FOR VERIFICATION IS DONE EXCLUSIVELY AT THE RISK OF THE PARTY MAKING SUCH USE.

  12. d

    Preliminary geologic map of the Lick Observatory quadrangle, Santa Clara...

    • datadiscoverystudio.org
    Updated Jan 1, 1972
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    Dibblee, T.W. (1972). Preliminary geologic map of the Lick Observatory quadrangle, Santa Clara County, California (NGMDB) [Dataset]. http://datadiscoverystudio.org/geoportal/rest/metadata/item/ee71e67e7bc94803941e005935570f84/html
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    Dataset updated
    Jan 1, 1972
    Dataset authored and provided by
    Dibblee, T.W.
    Area covered
    Description

    This record is maintained in the National Geologic Map Database (NGMDB). The NGMDB is a Congressionally mandated national archive of geoscience maps, reports, and stratigraphic information, developed according to standards defined by the cooperators, i.e., the USGS and the Association of American State Geologists (AASG). Included in this system is a comprehensive set of publication citations, stratigraphic nomenclature, downloadable content, unpublished source information, and guidance on standards development. The NGMDB contains information on more than 90,000 maps and related geoscience reports published from the early 1800s to the present day, by more than 630 agencies, universities, associations, and private companies. For more information, please see http://ngmdb.usgs.gov/.

  13. O

    Tax Rate Area Boundary

    • data.sccgov.org
    Updated Jun 11, 2025
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    (2025). Tax Rate Area Boundary [Dataset]. https://data.sccgov.org/dataset/Tax-Rate-Area-Boundary/rbqw-hkki
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    kml, application/geo+json, csv, tsv, application/rssxml, kmz, application/rdfxml, xmlAvailable download formats
    Dataset updated
    Jun 11, 2025
    Description

    This is a feature class of the Tax Rate Areas (TRAs) in Santa Clara County. It is derived from TRA Detail Maps obtained from the State Board of Equalization (SBE). It contains 1,810 separate polygons delineating 817 separate TRA Numbers. Its purpose is to extract Jurisdictional and School District Boundaries. THE GIS DATA IS PROVIDED "AS IS". THE COUNTY MAKES NO WARRANTIES, EXPRESS OR IMPLIED, INCLUDING WITHOUT LIMITATION, ANY IMPLIED WARRANTIES OR MERCHANTABILITY AND/OR FITNESS FOR A PARTICULAR PURPOSE, REGARDING THE ACCURACY, COMPLETENESS, VALUE, QUALITY, VALIDITY, MERCHANTABILITY, SUITABILITY, AND CONDITION, OF THE GIS DATA. USER'S OF COUNTY'S GIS DATA ARE HEREBY NOTIFIED THAT CURRENT PUBLIC PRIMARY INFORMATION SOURCES SHOULD BE CONSULTED FOR VERIFICATION OF THE DATA AND INFORMATION CONTAINED HEREIN. SINCE THE GIS DATA IS DYNAMIC, IT WILL BY ITS NATURE BE INCONSISTENT WITH THE OFFICIAL COUNTY DATA. ANY USE OF COUNTY'S GIS DATA WITHOUT CONSULTING OFFICIAL PUBLIC RECORDS FOR VERIFICATION IS DONE EXCLUSIVELY AT THE RISK OF THE PARTY MAKING SUCH USE.

  14. a

    Police

    • hub.arcgis.com
    Updated Mar 9, 2018
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    County of Santa Clara (2018). Police [Dataset]. https://hub.arcgis.com/maps/sccgov::police
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    Dataset updated
    Mar 9, 2018
    Dataset authored and provided by
    County of Santa Clara
    License

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

    Area covered
    Description

    The facilities (Police) data set is a digital representation of the facilities across all of Santa Clara County. This data set aims to provide accurate location information in the map. THE GIS DATA IS PROVIDED "AS IS". THE COUNTY MAKES NO WARRANTIES, EXPRESS OR IMPLIED, INCLUDING WITHOUT LIMITATION, ANY IMPLIED WARRANTIES OR MERCHANTABILITY AND/OR FITNESS FOR A PARTICULAR PURPOSE, REGARDING THE ACCURACY, COMPLETENESS, VALUE, QUALITY, VALIDITY, MERCHANTABILITY, SUITABILITY, AND CONDITION, OF THE GIS DATA. USER'S OF COUNTY'S GIS DATA ARE HEREBY NOTIFIED THAT CURRENT PUBLIC PRIMARY INFORMATION SOURCES SHOULD BE CONSULTED FOR VERIFICATION OF THE DATA AND INFORMATION CONTAINED HEREIN. SINCE THE GIS DATA IS DYNAMIC, IT WILL BY ITS NATURE BE INCONSISTENT WITH THE OFFICIAL COUNTY DATA. ANY USE OF COUNTY'S GIS DATA WITHOUT CONSULTING OFFICIAL PUBLIC RECORDS FOR VERIFICATION IS DONE EXCLUSIVELY AT THE RISK OF THE PARTY MAKING SUCH USE.

  15. O

    Point Of Interest

    • data.sccgov.org
    Updated May 2, 2023
    + more versions
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    (2023). Point Of Interest [Dataset]. https://data.sccgov.org/w/asae-p5kt/default?cur=S_ojve1PhQS
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    kml, kmz, application/geo+json, csv, xml, tsv, application/rdfxml, application/rssxmlAvailable download formats
    Dataset updated
    May 2, 2023
    Description

    The POI Dataset is a digital representation of the physical, geographic and commercial features across all of Santa Clara County. This dataset aims to provide accurate location information in the map. Sources: California Department Of Education (2021), Santa Clara County Combined data (2022).THE GIS DATA IS PROVIDED "AS IS". THE COUNTY MAKES NO WARRANTIES, EXPRESS OR IMPLIED, INCLUDING WITHOUT LIMITATION, ANY IMPLIED WARRANTIES OR MERCHANTABILITY AND/OR FITNESS FOR A PARTICULAR PURPOSE, REGARDING THE ACCURACY, COMPLETENESS, VALUE, QUALITY, VALIDITY, MERCHANTABILITY, SUITABILITY, AND CONDITION, OF THE GIS DATA. USER'S OF COUNTY'S GIS DATA ARE HEREBY NOTIFIED THAT CURRENT PUBLIC PRIMARY INFORMATION SOURCES SHOULD BE CONSULTED FOR VERIFICATION OF THE DATA AND INFORMATION CONTAINED HEREIN. SINCE THE GIS DATA IS DYNAMIC, IT WILL BY ITS NATURE BE INCONSISTENT WITH THE OFFICIAL COUNTY DATA. ANY USE OF COUNTY'S GIS DATA WITHOUT CONSULTING OFFICIAL PUBLIC RECORDS FOR VERIFICATION IS DONE EXCLUSIVELY AT THE RISK OF THE PARTY MAKING SUCH USE.

  16. d

    Data from: San Francisco Bay region landslide folio part D - Index to...

    • search.dataone.org
    Updated Oct 29, 2016
    + more versions
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    R.J. Pike (2016). San Francisco Bay region landslide folio part D - Index to detailed maps of landslides in the San Francisco Bay region, California [Dataset]. https://search.dataone.org/view/5c993207-8cab-49d8-a5b7-9fff7b3b8966
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    Dataset updated
    Oct 29, 2016
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Authors
    R.J. Pike
    Area covered
    Variables measured
    NAME, LTYPE
    Description

    A table keyed to 171 topographic quadrangles on a new 1:275,000-scale shaded-relief map speeds access to information on landslide locations in the ten-county San Francisco Bay region. Detailed maps showing individual landslides in nearly any area of interest can be found quickly by knowing only the name of the appropriate 7.5' quadrangle. The some-80 technical reports that contain these maps may be consulted in the U.S. Geological Survey's Menlo Park library collection.

  17. Bike Ped Collisions 2008-2018

    • data.vta.org
    • hub.arcgis.com
    • +1more
    Updated Jul 10, 2020
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    Santa Clara Valley Transportation Authority (2020). Bike Ped Collisions 2008-2018 [Dataset]. https://data.vta.org/maps/f1e4b0b57d00441992f962d11bc1f72b
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    Dataset updated
    Jul 10, 2020
    Dataset authored and provided by
    Santa Clara Valley Transportation Authorityhttp://www.vta.org/
    Area covered
    Description

    Data Source: Statewide Integrated Traffic Records System (SWITRS), Transportation Injury Mapping System (TIMS),https://tims.berkeley.edu/Bicycle and pedestrian traffic collisions in Santa Clara County between 2008-2018.

  18. a

    Soils of Santa Clara County

    • gisdata-sccplanning.hub.arcgis.com
    Updated Oct 29, 2021
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    Santa Clara County Planning and Development Department (2021). Soils of Santa Clara County [Dataset]. https://gisdata-sccplanning.hub.arcgis.com/maps/soils-of-santa-clara-county-2
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    Dataset updated
    Oct 29, 2021
    Dataset authored and provided by
    Santa Clara County Planning and Development Department
    Area covered
    Description

    UPDATED October 22, 2019 (Oct 22, 2020 for updated URL links)

    These data are the Official soil survey data for Santa Clara County compiled from the USDA, NRCS Web Soil Survey, Soil Survey Geographic (SSURGO) Database. Santa Clara County is divided into two soil surveys; a western part (CA 641, last updated: Survey Area: Version 8, Sept 16, 2019; Tabular: Version 8, Sept 16, 2019; Spatial: Version 3, Sept 16, 2019) and an eastern part (CA 646, last updated Survey Area: Version 15, Sept 16, 2019; Tabular: Version 14, Sept 16, 2019; Spatial: Version 9, Sept 16, 2019). This dataset combines those two surveys into one, easier to use dataset that covers the entire county.

  19. d

    ScienceBase Item Summary Page

    • datadiscoverystudio.org
    + more versions
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    U.S. Geological Survey, ScienceBase Item Summary Page [Dataset]. http://datadiscoverystudio.org/geoportal/rest/metadata/item/04e7938726014d54aa123748a139fd90/html
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    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Area covered
    Description

    Link to the ScienceBase Item Summary page for the item described by this metadata record. Service Protocol: Link to the ScienceBase Item Summary page for the item described by this metadata record. Application Profile: Web Browser. Link Function: information

  20. d

    ScienceBase Item Summary Page

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    U.S. Geological Survey, ScienceBase Item Summary Page [Dataset]. http://datadiscoverystudio.org/geoportal/rest/metadata/item/ecaf664ee3844f2abe4fe4b1d0da629e/html
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    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Area covered
    Description

    Link to the ScienceBase Item Summary page for the item described by this metadata record. Service Protocol: Link to the ScienceBase Item Summary page for the item described by this metadata record. Application Profile: Web Browser. Link Function: information

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Santa Clara County Archives (2021). County Map Books [Dataset]. https://data.sccgov.org/Government/County-Map-Books/f5uv-khdt

County Map Books

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3 scholarly articles cite this dataset (View in Google Scholar)
csv, json, application/rssxml, tsv, xml, application/rdfxmlAvailable download formats
Dataset updated
Aug 20, 2021
Dataset authored and provided by
Santa Clara County Archives
Description

The Map Books consist of approximately 5,900 maps recorded with the county dating from circa 1850 to 1957. Recorded documents include subdivisions, surveys of property, cemetery plans, and other maps. Information on each map includes date recorded, person recorded for, and title of survey. Additional information may include notarized statement by property owner, statement by licensed surveyor, notice of approval by board of supervisors, and additional approvals by county or city officials. These maps are bound into 108 volumes. The archives have volumes A through Z, and volumes 1 through 82. Volumes not included are 44, 46, 48, 50, 51, 53, 55, 57, 59, 66, 68, 71, 73, 76, and 81.

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