40 datasets found
  1. S

    Data from: Planning Areas

    • data.sanjoseca.gov
    • gisdata-csj.opendata.arcgis.com
    Updated Apr 28, 2025
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    Enterprise GIS (2025). Planning Areas [Dataset]. https://data.sanjoseca.gov/dataset/planning-areas
    Explore at:
    geojson, kml, arcgis geoservices rest api, zip, csv, htmlAvailable download formats
    Dataset updated
    Apr 28, 2025
    Dataset provided by
    City of San José
    Authors
    Enterprise GIS
    License

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

    Description

    The Planning Areas Map includes fifteen (15) planning areas, which are large sub-areas of San José. Due to their permanent boundaries, these areas are especially valuable in the collection and analysis of data over long periods of time. For example, the Planning Division uses planning areas to monitor the supply and absorption of vacant land and to track and forecast development activity.

    Data has never been updated.

  2. S

    Data from: Zoning Districts

    • data.sanjoseca.gov
    • gisdata-csj.opendata.arcgis.com
    • +1more
    Updated Apr 28, 2025
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    Enterprise GIS (2025). Zoning Districts [Dataset]. https://data.sanjoseca.gov/dataset/zoning-districts
    Explore at:
    html, kml, csv, zip, geojson, arcgis geoservices rest apiAvailable download formats
    Dataset updated
    Apr 28, 2025
    Dataset provided by
    City of San José
    Authors
    Enterprise GIS
    License

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

    Description

    Land Use Zoning Districts in San Jose, CA.


    App: The data can be viewed in web map format at: Land use Zoning

    This interactive zoning map identifies the zoning district designations, as referenced in the Zoning Ordinance, of property within the City of San José's incorporated area (City limits). Additional details about the zoning and property can also be found at www.sjpermits.org.

    Data is published on Mondays on a weekly basis.

  3. a

    City Limits

    • gisdata-csj.opendata.arcgis.com
    • data.sanjoseca.gov
    Updated Jun 4, 2020
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    City of San José (2020). City Limits [Dataset]. https://gisdata-csj.opendata.arcgis.com/datasets/CSJ::city-limits/about
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    Dataset updated
    Jun 4, 2020
    Dataset authored and provided by
    City of San José
    License

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

    Area covered
    Description

    Boundary of incorporated areas in the City of San Jose, CA.Data is published on Mondays on a weekly basis.

  4. S

    Tract Boundaries

    • data.sanjoseca.gov
    • gisdata-csj.opendata.arcgis.com
    Updated Apr 28, 2025
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    Enterprise GIS (2025). Tract Boundaries [Dataset]. https://data.sanjoseca.gov/dataset/tract-boundaries
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    arcgis geoservices rest api, geojson, csv, zip, html, kmlAvailable download formats
    Dataset updated
    Apr 28, 2025
    Dataset provided by
    City of San José
    Authors
    Enterprise GIS
    License

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

    Description

    Tract Boundaries represent the geographic extent of non-incorporated areas within and outside of San Jose.

    Data is published on Mondays on a weekly basis.

  5. a

    PCBs Old Industrial Areas

    • gisdata-csj.opendata.arcgis.com
    • data.sanjoseca.gov
    Updated May 9, 2023
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    City of San José (2023). PCBs Old Industrial Areas [Dataset]. https://gisdata-csj.opendata.arcgis.com/maps/4e14963d3c604aa28c98ee09813ecfe9
    Explore at:
    Dataset updated
    May 9, 2023
    Dataset authored and provided by
    City of San José
    License

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

    Area covered
    Description

    Polychlorinated biphenyls (PCBs) are a group of legacy pollutants formerly used in commercial and industrial processes, with peak use between 1950 and 1980. "Old Industrial" indicates that an area's land use was Industrial prior to 1980 and has not yet been redeveloped. Regional monitoring data demonstrate higher loads of PCBs in stormwater runoff from Old Industrial areas, compared with other land uses types. In order to reduce PCBs runoff to the Bay, the City will investigate and treat Old Industrial areas, on a parcel-by-parcel basis. Investigation occurs through sample collection and lab testing, as well as desktop analysis. Treatment to control or abate PCBs runoff may include redevelopment, full trash capture device installation, enhanced street sweeping, and implementation of BMPs or cleanup on confirmed source properties. This layer shows the current investigation and treatment status for each Old Industrial parcel in San Jose. Data updated annually.

  6. K

    City of San Jose Trails

    • koordinates.com
    csv, dwg, geodatabase +6
    Updated Sep 5, 2018
    + more versions
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    City of San Jose, California (2018). City of San Jose Trails [Dataset]. https://koordinates.com/layer/95892-city-of-san-jose-trails/
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    geodatabase, mapinfo mif, mapinfo tab, pdf, shapefile, kml, csv, geopackage / sqlite, dwgAvailable download formats
    Dataset updated
    Sep 5, 2018
    Dataset authored and provided by
    City of San Jose, California
    Area covered
    Description

    This layer was created as an update the existing San Jose Parks Layer (PRK.TRAILS). The existing layer has been maintained by the City of San Jose Department of Public Works and had not been updated in some time. This layer is a draft as of (05.02.2014) and has not been fully updated or reviewed to assure completeaccuracy of trail lines. Nevertheless, it is an improvement over the existing layer and has had newly developed and existing trail lines adjusted to fit with satellite imagery from the ArcGIS basemap. As much as possible trail lines have been centered to visibly improved pathways in the satellite imagery. Several ramps that provide trail access have also been added.Some attribute data has been updated along with trail changes, but on the whole it still requires comparison with the Master Trail database maintained by Yves Zsutty - Trail Manager, PRNS.

    © PRK.TRAILS - Author Unknown - Maintained by San Jose DPW - GIS Team Master Trails Data - Yves Zsutty - Trail Manager, PRNS. yves.zsutty@sanjoseca.gov - 408 292 6416 GIS Updates: David McCormic - PRNS david.mccormic@sanjoseca.gov This layer is a component of Basemap Editing Map.

    The Basemap Editing Map has been optimized for editing and can be used for management of City of San Jose Public Works basemap information.

    © City of San Jose

  7. t

    San Jose Zip Codes

    • tuscanaproperties.com
    Updated Feb 17, 2025
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    Tuscana Properties (2025). San Jose Zip Codes [Dataset]. https://www.tuscanaproperties.com/san-jose-zip-codes-map/
    Explore at:
    Dataset updated
    Feb 17, 2025
    Dataset authored and provided by
    Tuscana Properties
    License

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

    Area covered
    San Jose
    Variables measured
    95101, 95110, 95111, 95112, 95113, 95116, 95117, 95118, 95119, 95120, and 21 more
    Description

    A dataset containing zip codes in San Jose, California, and their respective populations.

  8. O

    Parish of San Jose 40 Chains to an Inch Mine Map Provisional 1967

    • data.qld.gov.au
    Updated Nov 8, 2024
    + more versions
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    Geological Survey of Queensland (2024). Parish of San Jose 40 Chains to an Inch Mine Map Provisional 1967 [Dataset]. https://www.data.qld.gov.au/dataset/mr010907
    Explore at:
    Dataset updated
    Nov 8, 2024
    Dataset authored and provided by
    Geological Survey of Queensland
    License

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

    Area covered
    San Jose
    Description

    URL: https://geoscience.data.qld.gov.au/dataset/mr010907

    The PARISH OF SAN JOSE Mine map was published in 1967 at 40 Chains to an Inch, and charted by the Mines District Office to administer permit and permit related spatial information. The map was maintained internally as a provisional office chart and is located within the Bajool (9050) 1:100 000 map area.
    The map product is available to all government agencies, industry and the public for reference.
    Title and Image reference number is PARISH OF SAN JOSE_0173.
    Hard copy can be found in Cabinet PU78-45 Drawer 5.

  9. K

    City of San Jose Easements

    • koordinates.com
    csv, dwg, geodatabase +6
    Updated Sep 5, 2018
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    City of San Jose, California (2018). City of San Jose Easements [Dataset]. https://koordinates.com/layer/95878-city-of-san-jose-easements/
    Explore at:
    dwg, geopackage / sqlite, geodatabase, shapefile, mapinfo tab, kml, mapinfo mif, csv, pdfAvailable download formats
    Dataset updated
    Sep 5, 2018
    Dataset authored and provided by
    City of San Jose, California
    Area covered
    Description

    Geospatial data about City of San Jose Easements. Export to CAD, GIS, PDF, CSV and access via API.

  10. S

    Neighborhoods

    • data.sanjoseca.gov
    Updated Apr 28, 2025
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    Enterprise GIS (2025). Neighborhoods [Dataset]. https://data.sanjoseca.gov/dataset/neighborhoods
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    arcgis geoservices rest api, kml, zip, geojson, csv, htmlAvailable download formats
    Dataset updated
    Apr 28, 2025
    Dataset provided by
    City of San José
    Authors
    Enterprise GIS
    License

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

    Description

    In 2020, neighborhood boundaries were established throughout the City in partnership with Council offices. These neighborhoods are collections of one or more census block groups. Neighborhood boundaries are not expected to be updated unless census geographies change. However, each year a new neighborhood demographics dataset is produced that aggregates ACS estimates by neighborhood.

  11. S

    Private Right of Way

    • data.sanjoseca.gov
    Updated Apr 28, 2025
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    Enterprise GIS (2025). Private Right of Way [Dataset]. https://data.sanjoseca.gov/dataset/private-right-of-way
    Explore at:
    html, arcgis geoservices rest api, zip, kml, csv, geojsonAvailable download formats
    Dataset updated
    Apr 28, 2025
    Dataset provided by
    City of San José
    Authors
    Enterprise GIS
    License

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

    Description

    Private right of way line on which one side has parcels and the other is a private street. This dataset represents easements areas where the City of San Jose can't perform any projects because the areas is located inside a private property.

    Data is published on Mondays on a weekly basis.

  12. a

    Data from: Street Tree

    • gisdata-csj.opendata.arcgis.com
    • data.sanjoseca.gov
    Updated Aug 28, 2020
    + more versions
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    City of San José (2020). Street Tree [Dataset]. https://gisdata-csj.opendata.arcgis.com/datasets/street-tree
    Explore at:
    Dataset updated
    Aug 28, 2020
    Dataset authored and provided by
    City of San José
    License

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

    Area covered
    Description

    Locations of all street trees in the City of San Jose. Street trees are trees along city right-of-way and sidewalk, but do not include trees on private property or large lots like parks. It is the responsibility of the adjacent property owner to properly care for the street tree and comply with City laws and best practices. Permits must be obtained for most work on street trees to ensure it is done accordining to the requirements of the City code. Some street trees in City medians and road backups are maintained entirely by the City.Data is published on Mondays on a weekly basis.

  13. A

    Geologic map of the Hayward fault zone, Contra Costa, Alameda, and Santa...

    • data.amerigeoss.org
    • search.dataone.org
    • +1more
    arce
    Updated Jul 26, 2019
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    United States[old] (2019). Geologic map of the Hayward fault zone, Contra Costa, Alameda, and Santa Clara Counties, California: A digital database [Dataset]. https://data.amerigeoss.org/dataset/geologic-map-of-the-hayward-fault-zone-contra-costa-alameda-and-santa-clara-counties-california
    Explore at:
    arceAvailable download formats
    Dataset updated
    Jul 26, 2019
    Dataset provided by
    United States[old]
    Area covered
    Contra Costa County, California, Santa Clara County
    Description

    This digital map database, compiled from previously open- filed U.S. Geological Survey reports (Graymer and others, 1994, Graymer, Jones, and Brabb, 1994) and unpublished data, represents the general distribution of rocks and faults in the Hayward fault zone. As described in this report, the Hayward fault zone is a zone of highly deformed rocks which trends north 30 degrees west from an area southeast of San Jose to the San Pablo Bay, and ranges in width from 2 to 10 kilometers. Although historic earthquake activity has been concentrated in the western part of the zone, the zone as a whole reflects oblique right-lateral and compressive deformation along a significant upper crustal break over the past 10 million years or more. Together with the accompanying text file (hfgeo.txt), the database provides current information on the distribution and description of faults and rock types within the fault zone. In addition, the text file discusses the development of the fault zone in the past 10 million years, the relationship of the Hayward and Calaveras fault zones, and the significance of the creeping strand of the Hayward fault (as most recently defined by Lienkaemper, 1992).

  14. s

    Land cover for CRI-San Jose 2000 (GLAD Global Land Cover and Land Use...

    • datahub.shiftcities.org
    Updated Apr 16, 2022
    + more versions
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    World Resources Institute (2022). Land cover for CRI-San Jose 2000 (GLAD Global Land Cover and Land Use Change) [Dataset]. https://datahub.shiftcities.org/maps/land-cover-for-cri-san-jose-2000-glad-global-land-cover-and-land-use-change
    Explore at:
    Dataset updated
    Apr 16, 2022
    Dataset authored and provided by
    World Resources Institute
    Area covered
    Description

    The Global Land Analysis & Discovery (GLAD) lab at University of Maryland has produced Global Land Cover and Land Use Change, which provides a 30 meter resolution map of global land cover change between 2000 and 2020 generated from Landsat Analysis Ready Data. The map derived from this dataset for this study region and year distinguishes ten land cover classes: Bare Ground, Short Vegetation, Forest, Tall Forest (20m+), Wetland - Short Vegetation, Wetland - Forest, Water, Snow/Ice, Cropland, and Built-Up Area.Click here to download TIF version of layer

  15. w

    Data from: Preliminary Geologic Description of the San Jose 30 X 60 Minute...

    • data.wu.ac.at
    • datadiscoverystudio.org
    • +1more
    tar
    Updated Jun 8, 2018
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    Department of the Interior (2018). Preliminary Geologic Description of the San Jose 30 X 60 Minute Quadrangle, California: A Digital Database [Dataset]. https://data.wu.ac.at/schema/data_gov/NWY4ZmM0YjItNDc2Zi00OTA5LTg4NjAtYTUxYjFmNDM5OGI2
    Explore at:
    tarAvailable download formats
    Dataset updated
    Jun 8, 2018
    Dataset provided by
    Department of the Interior
    Area covered
    9f7dcee6c44076c74697063e7ea7eea6da0bbc3c
    Description

    The San Jose 30 x 60-minute quadrangle straddles the California Coast Ranges southeast of San Francisco, and extends from west of the San Andreas fault near Santa Cruz on the southwest (long. -122°, lat. 37°) to the San Joaquin River in the Central Valley on the northeast (long. -121°, lat. 37.5°). The map is a new geologic compilation that is based on extensive previous work by many authors and a great deal of new mapping, largely at 1:24,000, much of which is previously unpublished. This report presents the preliminary geologic map of the San Jose 30 x 60-minute quadrangle at a scale of 1:100,000, and consists of a spatial database of nine layers, two colored map sheets (geologic map and correlation diagram), and a descriptive text.

  16. a

    Address Downloader Map

    • maps-cadoc.opendata.arcgis.com
    Updated Mar 22, 2024
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    City of San José (2024). Address Downloader Map [Dataset]. https://maps-cadoc.opendata.arcgis.com/maps/19412ca6eef444109388cb34e979cc75
    Explore at:
    Dataset updated
    Mar 22, 2024
    Dataset authored and provided by
    City of San José
    License

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

    Area covered
    Description

    This map shows site address points in the City of San José and provides tools to select and download address data. Addresses are part of the City's Master Address Database (MAD), which is a comprehensive database containing authoritative physical/site addresses. Mailing addresses may differ from site addresses.This map was created for the City of San José public maps gallery. The maps gallery is a collection of maps created and maintained by the Enterprise GIS team. Maps gallery maps showcase programs, projects, and spatial information derived from City data. The information in these maps is publicly shared for the purpose of transparency and accessibility. Many maps from the maps gallery are also embedded with the City website. Much of the data that supports these maps can be directly downloaded from the Open GIS Data Portal. City of San Jose Website: https://www.sanjoseca.gov/City of San Jose Maps Gallery: https://gis.sanjoseca.gov/apps/mapsgallery/City of San Jose Open GIS Data Portal: https://gisdata-csj.opendata.arcgis.com/

  17. A

    Geology and geomorphology--Offshore of Tomales Point Map Area, California

    • data.amerigeoss.org
    • data.usgs.gov
    • +5more
    xml
    Updated Aug 17, 2022
    + more versions
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    United States (2022). Geology and geomorphology--Offshore of Tomales Point Map Area, California [Dataset]. https://data.amerigeoss.org/es/dataset/38331bb0-b5f8-48f7-8b65-5b97dcef64e5
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    xmlAvailable download formats
    Dataset updated
    Aug 17, 2022
    Dataset provided by
    United States
    Area covered
    California
    Description

    This part of DS 781 presents data for the geologic and geomorphic map of the Offshore of Tomales Point map area, California. The vector data file is included in "Geology_OffshoreTomalesPoint.zip," which is accessible from http://pubs.usgs.gov/ds/781/OffshoreTomalesPoint/data_catalog_OffshoreTomalesPoint.html. The morphology and the geology of the offshore part of the Offshore of Tomales Point map area result from the interplay between tectonics, sea-level rise, local sedimentary processes, and oceanography. The map area is cut by the northwest-trending San Andreas Fault, the right-lateral transform boundary between the North American and Pacific tectonic plates. The San Andreas strikes through Tomales Bay, the northern part of a linear valley that extends from Bolinas through Olema Valley to Bodega Bay, separating mainland California from the Point Reyes Peninsula. Onshore investigations indicate that this section of the San Andreas Fault has an estimated slip rate of about 17 to 25 mm/yr (Bryant and Lundberg, 2002; Grove and Niemi, 2005). The devastating Great 1906 California earthquake (M 7.8) is thought to have nucleated on the San Andreas Fault about 50 kilometers south of this map area offshore of San Francisco (e.g., Bolt, 1968; Lomax, 2005), with the rupture extending northward through the Offshore of Tomales Point map area to the south flank of Cape Mendocino (Lawson, 1908; Brown and Wolfe, 1972). The Point Reyes Peninsula is bounded to the south and west in the offshore by the north- and east-dipping Point Reyes Thrust Fault (McCulloch, 1987; Heck and others, 1990), which lies about 20 km west of Tomales Point. Granitic basement rocks are offset about 1.4 km on this thrust fault offshore of Point Reyes (McCulloch, 1987), and this uplift combined with west-side-up offset on the San Andreas Fault (Grove and Niemi, 2005) resulted in uplift of the Point Reyes Peninsula, including Tomales Point and the adjacent continental shelf. Grove and others (2010) reported uplift rates of as much as 1 mm/yr for the south flank of the Point Reyes Peninsula based on marine terraces, but reported no datable terrace surfaces that could constrain uplift for the flight of 4-5 terraces exposed farther north along Tomales Point. Because of this Quaternary uplift and relative lack of sediment supply from coastal watersheds, there is extensive rugged, rocky seafloor beneath the continental shelf in the Offshore of Tomales Point map area. Granitic rocks (unit Kg) on the seafloor are mapped on the basis of massive character, roughness, extensive fractures, and high backscatter (see Backscattter A to D--Offshore of Tomales Point, California, DS 781, for more information). Neogene sedimentary rocks (units Tl and Tu) commonly form distinctive "ribs," created by differential seafloor erosion of dipping beds of variable resistance. The more massive offshore outcrops of unit Tu in the southern part of the map area are inferred to represent more uniform lithologies. Slopes on the granitic seafloor (generally 1 to 1.3 degrees) are greater than those over sedimentary rock (generally about 0.5 to 0.6 degrees). Sediment-covered areas occur in gently sloping (less than about 0.6 degrees) mid-shelf environments west and north of Tomales Point, and at the mouth of Tomales Bay. Sediment supply is local, limited to erosion from local coastal bluffs and dunes, small coastal watersheds, and sediment flux out of the mouth of Tomales Bay. Shelf morphology and evolution largely reflects eustacy; sea level has risen about 125 to 130 m over about the last 21,000 years (for example, Lambeck and Chappell, 2001; Peltier and Fairbanks, 2005), leading to broadening of the continental shelf, progressive eastward migration of the shoreline and wave-cut platform, and associated transgressive erosion and deposition. Given present exposure to high wave energy, modern nearshore to mid-shelf sediments are mostly sand (unit Qms) and a mix of sand, gravel, and cobbles (units Qmsc and Qmsd). These sediments are distributed between rocky outcrops at water depths of as much as 65 m (see below). The more coarse-grained sands and gravels (units Qmsc and Qmsd) are primarily recognized on the basis of bathymetry and high backscatter. Unit Qmsd forms erosional lags in scoured depressions that are bounded by relatively sharp contacts with bedrock or sharp to diffuse contacts with units Qms and Qmsc. These scoured depressions are typically a few tens of centimeters deep and range in size from a few 10's of sq m to more than one sq km. Similar unit Qmsd scour depressions are common along this stretch of the California coast (see, for example, Cacchione and others, 1984; Hallenbeck and others, 2012) where surficial offshore sandy sediment is relatively thin (thus unable to fill the depressions) due to both lack of sediment supply and to erosion and transport of sediment during large northwest winter swells. Such features have been referred to as rippled-scour depressions (see, for example, Cacchione and others, 1984) or sorted bedforms (see, for example, Goff and others, 2005; Trembanis and Hume, 2011). Although the general areas in which both unit Qmsd scour depressions and surrounding mobile sand sheets occur are not likely to change substantially, the boundaries of the individual Qmsd depressions are likely ephemeral, changing seasonally and during significant storm events. Unit Qmsf consists primarily of mud and muddy sand and is commonly extensively bioturbated. The location of the inboard contact at water depths of about 65 m is based on meager sediment sampling and photographic data and the inference that if must lie offshore of the outer boundary of coarse-grained units Qmsd and Qmsc. This is notably deeper than the inner contact of unit Qmsf offshore of the nearby Russian River (about 50 m; Klise, 1983) which could may reflect both increased wave energy and significantly decreased supply of muddy sediment. There are two areas of high-backscatter, rough seafloor at water depths of 65 to 70 m west of northern Tomales Point. These areas are notable in that each includes several small (less than about 20,000 sq m), randomly distributed to northwest-trending, irregular "mounds," with as much as 1 m of positive relief above the seafloor (unit Qsr). Seismic-reflection data (see field activity S-15-10-NC) reveal this lumpy material rests on several meters of latest Pleistoce to Holocene sediment and is thus not bedrock outcrop. Rather, it seems likely that this material is marine debris, possibly derived from one (or more) of the more than 60 shipwrecks that have occurred offshore of the Point Reyes Peninsula between 1849 and 1940 (National Park Service, 2012). It is also conceivable that this lumpy terrane consists of biological "hardgrounds" Units Qsw, Qstb, Qdtb, and Qsdtb comprise sediments in Tomales Bay. Anima and others (2008) conducted a high-resolution bathymetric survey of Tomales Bay and noted that strong tidal currents at the mouth of the bay had created a large field of sandwaves, dunes, and flats (unit Qsw). Unit Qkdtb is a small subaqueous sandy delta deposited at the mouth of Keys Creek, the largest coastal watershed draining into this northern part of Tomales Bay. Unit Qstb occurs south of units Qsw and Qdtb, and comprises largely flat seafloor underlain by mixed sand and silt. Unit Qdtb consists of depressions within the sedimentary fill of Tomales Bay. These depressions commonly occur directly offshore of coastal promontories, cover as much as 74,000 sq m, and are as deep as 9 m. Map unit polygons were digitized over underlying 2-meter base layers developed from multibeam bathymetry and backscatter data (see Bathymetry--Offshore of Tomales Point, California and Backscattter A to D--Offshore of Tomales Point, California, DS 781). The bathymetry and backscatter data were collected between 2006 and 2010. References Cited Anima, R. A., Chin, J.L., Finlayson, D.P., McGann, M.L., and Wong, F.L., 2008, Interferometric sidescan bathymetry, sediment and foraminiferal analyses; a new look at Tomales Bay, Califorina: U.S. Geological Survey Open-File Report 2008 - 1237, 33 p. Brown, R.D., Jr., and Wolfe, E.W., 1972, Map showing recently active breaks along the San Andreas Fault between Point Delgada and Bolinas Bay, California: U.S. Geological Survey Miscellaneous Investigations Map I-692, scale 1:24,000. Bryant, W.A., and Lundberg, M.M., compilers, 2002, Fault number 1b, San Andreas fault zone, North Coast section, in Quaternary fault and fold database of the United States: U.S. Geological Survey website, accessed April 4, 2013 at http://earthquakes.usgs.gov/hazards/qfaults. Cacchione, D.A., Drake, D.E., Grant, W.D., and Tate, G.B., 1984, Rippled scour depressions of the inner continental shelf off central California: Journal of Sedimentary Petrology, v. 54, p. 1,280-1,291. Grove, K., and Niemi, T.M., 2005, Late Quaternary deformation and slip rates in the northern San Andreas fault zone at Olema Valley, Marin County, California: Tectonophysics, v. 401, p. 231-250. Grove, K, Sklar, L.S., Scherer, A.M., Lee, G., and Davis, J., 2010, Accelerating and spatially-varying crustal uplift and its geomorphic expression, San Andreas fault zone north of San Francisco, California: Tectonophysics, v. 495, p. 256-268. Klise, D.H., 1984, Modern sedimentation on the California continental margin adjacent to the Russian River: M.S. thesis, San Jose State University, 120 p. Hallenbeck, T.R., Kvitek, R.G., and Lindholm, J., 2012, Rippled scour depressions add ecologically significant heterogeneity to soft-bottom habitats on the continental shelf: Marine Ecology Progress Series, v. 468, p. 119-133. Lambeck, K., and Chappell, J., 2001, Sea level change through the last glacial cycle: Science, v. 292, p. 679-686, doi: 10.1126/science.1059549. Lawson, A.C., ed., 1908, The California earthquake of April 18, 1906, Report of the State Earthquake Investigation Commission: Carnegie

  18. S

    Survey Benchmark

    • data.sanjoseca.gov
    • gisdata-csj.opendata.arcgis.com
    Updated Apr 28, 2025
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    Enterprise GIS (2025). Survey Benchmark [Dataset]. https://data.sanjoseca.gov/dataset/survey-benchmark
    Explore at:
    arcgis geoservices rest api, geojson, kml, zip, html, csvAvailable download formats
    Dataset updated
    Apr 28, 2025
    Dataset provided by
    City of San José
    Authors
    Enterprise GIS
    License

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

    Description

    These are locations that are to be used as an elevation reference and contain the official elevation and last known latitude and longitude.

    App: The data can be viewed in web map format at: Survey Benchmarks

    Data is published on Mondays on a weekly basis.


  19. d

    Digital subsurface data from USGS Regional Aquifer System Analysis of the...

    • catalog.data.gov
    • data.usgs.gov
    Updated Jul 6, 2024
    + more versions
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    U.S. Geological Survey (2024). Digital subsurface data from USGS Regional Aquifer System Analysis of the San Juan basin and adjacent areas, Utah, Colorado, Arizona, and New Mexico [Dataset]. https://catalog.data.gov/dataset/digital-subsurface-data-from-usgs-regional-aquifer-system-analysis-of-the-san-juan-basin-a
    Explore at:
    Dataset updated
    Jul 6, 2024
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Area covered
    Utah, New Mexico
    Description

    The San Juan basin is a significant physical and structural element in the southeastern part of the Colorado Plateau physiographic province. The San Juan basin is in New Mexico, Colorado, Arizona, and Utah and has an area of about 21,600 square miles. The basin is about 140 miles wide and about 200 miles long. In the 1980’s and 1990’s, the San Juan basin was the focus of the U.S. Geological Survey's Regional Aquifer-System Analysis (RASA) study. Investigation of the San Juan structural basin began in October 1984 with an objective, among others, to define and evaluate the aquifer system. As part of this analysis, a multi-publication series of reports were produced as Hydrologic Atlas 720 (HA-720) that described on 1:1,000,000-scale maps the subsurface configuration and hydrogeology of the San Jose, Nacimiento, and Animas Formations (Levings and others, 1990; HA-720-A), the Ojo Alamo Sandstone (Thorn and others, 1990; HA-720-B), the Kirtland Shale and Fruitland Formation (Kernodle and others, 1990; HA-720-C), the Pictured Cliffs Sandstone (Dam and others, 1990; HA-720-D), the Cliff House Sandstone (Thorn and others, 1990; HA-720-E), the Menefee Formation (Levings and others, 1990; HA-720-F), the Point Lookout Sandstone (Craigg and others, 1990; HA-720-G), the Gallup Sandstone (Kernodle and others, 1990; HA-720-H), the Dakota Sandstone (Craigg and others, 1990; HA-720-I), and the Morrison Formation (Dam and others, 1990; HA-720-J). This digital dataset contains spatial datasets corresponding to the contoured subsurface maps produced by the U.S. Geological Survey's Regional Aquifer-System Analysis (RASA) San Juan basin study. The data define the elevation, thickness, and extent of principal stratigraphic units of the basin. The digital data describe the following stratigraphic units: the San Jose Formation, the Ojo Alamo Sandstone, the Kirtland Shale and Fruitland Formation, the Pictured Cliffs Sandstone, the Cliff House Sandstone, the Menefee Formation, the Point Lookout Sandstone, the Gallup Sandstone, the Dakota Sandstone, and the Morrison Formation. Digital data for each unit are contained in individual features classes within a geodatabase (also saved as individual shapefiles). Feature classes have a single attribute, either elevation or thickness, that represents the contoured value. Contoured values are given in feet, to maintain consistency with the original publication, and in meters.

  20. w

    Geologic Map of the Nelson SW Quadrangle, Clark County, Nevada, NBMG M134

    • data.wu.ac.at
    • datadiscoverystudio.org
    html
    Updated Dec 5, 2017
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    (2017). Geologic Map of the Nelson SW Quadrangle, Clark County, Nevada, NBMG M134 [Dataset]. https://data.wu.ac.at/schema/geothermaldata_org/OWJhOTE2MDAtODMzMy00NTBjLWFkNjUtYTFjNjU3MDA5OGE2
    Explore at:
    htmlAvailable download formats
    Dataset updated
    Dec 5, 2017
    Area covered
    Nevada, b5e6f2688c1d7a89ab62e3c3243e44619c4b8764
    Description

    1:24,000 scale Geologic Map of the Nelson Quadrangle, Clark County, Nevada. Nevada Bureau of Mines Map 134. Detailed Geologic Mapping By Jame s E . Faulds, John W. Bell, and Eric L. Olson in 2002. Field work done 1999. Map includes two cross sections and 42 geologic units. The quadrangle includes part of the Highland range, Eldorado Valley, and Piute Valley. It contains excellent exposures of early to middle Miocene volcanic and sedimentary rocks, the upper part of the ~16.6 Ma Searchlight. Mining district. The Miocene section rests nonconformably on Early Proterozoic gneiss. As a result of the middle Miocene extension, Tertiary strata are moderately to steeply tilted and cut by complex arrays of normal faults. Flat-lying Quaternary alluvial-fan deposits dominate Eldorado and Piute Valleys and onlap tilted Miocene strata in the Highland Range. The GIS work was in support of the U.S. Geological Survey COGEOMAP program. Office Reviewers: Frank Hillemeyer, La Cuesta International, Inc., Kingman, AZ.; Jonathan Miller, Dept. of Geology, San Jose State University, San Jose, CA.; Alan Ramelli, NBMG; Eugene Smith, Dept. of Geoscience, UNLV. Field Reviewers: Frank Hillemeyer, La Cuesta International, Inc., Kingman, AZ.; Werner Hellmer, Dept. of Building, Clark County; Ryan Murphy, Dept. of Geological Sciences , University of Nevada; John Peck, Consulting Geologist, Las Vegas , NV.; Jonathan Price, NBMG; Alan Ramelli, NBMG. The geologic mapping was supported by the U.S. Geological Survey STATEMAP Program (Agreement No. HQ-AG-2036) and a grant from the National Science Foundation (E AR 98-96032). The 40Ar/39Ar dates were obtained through geochronology labs at the U.S. Geological Survey in Denver, for which we thank Steve Harlan, and the New Mexico Bureau of Mines, for which we thank Bill McIntosh and Matt Heizler. We greatly appreciated the hospitality of several landowners in the area, including Barney and Elaine Reagan, Gene Lambert, and John Kuyger. We also thank the Lake Mead National Recreation Area for providing housing during part of this study. Base map: U.S. Geological Survey Nelson SW 7.5' Quadrangle. To download and view this map resource, map text, and associated GIS zipped data-set, please see the links provided.

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Enterprise GIS (2025). Planning Areas [Dataset]. https://data.sanjoseca.gov/dataset/planning-areas

Data from: Planning Areas

Related Article
Explore at:
geojson, kml, arcgis geoservices rest api, zip, csv, htmlAvailable download formats
Dataset updated
Apr 28, 2025
Dataset provided by
City of San José
Authors
Enterprise GIS
License

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

Description

The Planning Areas Map includes fifteen (15) planning areas, which are large sub-areas of San José. Due to their permanent boundaries, these areas are especially valuable in the collection and analysis of data over long periods of time. For example, the Planning Division uses planning areas to monitor the supply and absorption of vacant land and to track and forecast development activity.

Data has never been updated.

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