100+ datasets found
  1. C

    DSM2 Georeferenced Model Grid

    • data.cnra.ca.gov
    • data.ca.gov
    • +1more
    Updated Sep 12, 2025
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    California Department of Water Resources (2025). DSM2 Georeferenced Model Grid [Dataset]. https://data.cnra.ca.gov/dataset/dsm2-georeferenced-model-grid
    Explore at:
    pdf(22679496), pdf(25962387), zip(158973), arcgis desktop map package(211110), zip(228604), pdf(22669649), zip(26881), arcgis pro map package(153901), zip(159621), pdf(20463896), arcgis desktop map package(300515), pdf(1443441), zip(140121), zip(149795)Available download formats
    Dataset updated
    Sep 12, 2025
    Dataset authored and provided by
    California Department of Water Resources
    Description

    ArcGIS and QGIS map packages, with ESRI shapefiles for the DSM2 Model Grid. These are not finalized products. Locations in these shapefiles are approximate.

    Monitoring Stations - shapefile with approximate locations of monitoring stations.

    DSM2 Grid 2025-05-28 Historical

    FC_2023.01

    DSM2 v8.2.0, calibrated version:

    • dsm2_8_2_grid_map_calibrated.mpkx - ArcGIS Pro map package containing all layers and symbology for the calibrated grid map.
    • dsm2_8_2_grid_map_calibrated.mpk - ArcGIS Desktop map package containing all layers and symbology for the calibrated grid map.
    • dsm2_8_2_0_calibrated_grid_map_qgis.zip - QGIS map package containing all layers and symbology for the calibrated grid map.
    • dsm2_8_2_0_calibrated_gridmap_shapefiles.zip - A zip file containing all the shapefiles used in the above map packages:
    • dsm2_8_2_0_calibrated_channels_centerlines - channel centerlines, follwing the path of CSDP centerlines
    • dsm2_8_2_0_calibrated_network_channels - channels represented by straight line segments which are connected the upstream and downstream nodes
    • dsm2_8_2_0_calibrated_nodes - DSM2 nodes
    • dsm2_8_2_0_calibrated_dcd_only_nodes - Nodes that are only used by DCD
    • dsm2_8_2_0_calibrated_and_dcd_nodes - Nodes that are shared by DSM2 and DCD
    • dsm2_8_2_0_calibrated_and_smcd_nodes - Nodes that are shared by DSM2 and SMCD
    • dsm2_8_2_0_calibrated_gates_actual_loc - The approximate actual locations of each gate in DSM2
    • dsm2_8_2_0_calibrated_gates_grid_loc - The locations of each gate in the DSM2 model grid
    • dsm2_8_2_0_calibrated_reservoirs - The approximate locations of the reservoirs in DSM2
    • dsm2_8_2_0_calibrated_reservoir_connections - Lines showing connections from reservoirs to nodes in DSM2

    DSM2 v8.2.1, historical version:

    • DSM2 v8.2.1, historical version grid map release notes (PDF), updated 7/12/2022
    • DSM2 v8.2.1, historical version grid map, single zoom level (PDF)
    • DSM2 v8.2.1, historical version grid map, multiple zoom levels (PDF) - PDF grid map designed to be printed on 3 foot wide plotter paper.
    • DSM2 v8.2.1, historical version map package for ArcGIS Desktop: A map package for ArcGIS Desktop containing the grid map layers with symbology.
    • DSM2 v8.2.1, historical version grid map shapefiles (zip): A zip file containing the shapefiles used in the grid map.

    Change Log

    7/12/2022: The document "DSM2 v8.2.1, historical version grid map release notes (PDF)" was corrected by removing section 4.4, which incorrectly stated that the grid included channels 710-714, representing the Toe Drain, and that the Yolo Flyway restoration area was included.

  2. s

    Syracuse Tree Canopy - All Layers (Vector Tile Map)

    • data.syr.gov
    • hub.arcgis.com
    Updated Apr 21, 2022
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    jscharf_syr (2022). Syracuse Tree Canopy - All Layers (Vector Tile Map) [Dataset]. https://data.syr.gov/maps/0360b905a2754b0ca894f580564ae38e
    Explore at:
    Dataset updated
    Apr 21, 2022
    Dataset authored and provided by
    jscharf_syr
    License

    https://data.syrgov.net/pages/termsofusehttps://data.syrgov.net/pages/termsofuse

    Area covered
    Description

    Urban Tree Canopy Assessment. This was created using the Urban Tree Canopy Syracuse 2010 (All Layers) file HERE.The data for this map was created using LIDAR and other spatial analysis tools to identify and measure tree canopy in the landscape. This was a collaboration between the US Forest Service Northern Research Station (USFS), the University of Vermont Spatial Laboratory, and SUNY ESF. Because the full map is too large to be viewed in ArcGIS Online, this has been reduced to a vector tile layer to allow it to be viewed online. To download and view the shapefiles and all of the layers, you can download the data HERE and view this in either ArcGIS Pro or QGIS.Data DictionaryDescription source  USDA Forest ServiceList of values  Value 1 Description Tree CanopyValue 2 Description Grass/ShrubValue 3 Description Bare SoilValue 4 Description WaterValue 5 Description BuildingsValue 6 Description Roads/RailroadsValue 7 Description Other PavedField Class Alias Class Data type String Width 20Geometric objects  Feature class name landcover_2010_syracusecity Object type  complex Object count 7ArcGIS Feature Class Properties Feature class name landcover_2010_syracusecity Feature type  Simple Geometry type Polygon Has topology FALSE Feature count 7 Spatial index TRUE Linear referencing  FALSEDistributionAvailable format  Name ShapefileTransfer options  Transfer size 163.805Description Downloadable DataFieldsDetails for object landcover_2010_syracusecityType Feature Class Row count  7 Definition  UTCField FIDAlias FID Data type OID Width  4 Precision 0 Scale 0Field descriptionInternal feature number.Description source ESRIDescription of valueSequential unique whole numbers that are automatically generated.Field ShapeAlias Shape Data type Geometry Width 0 Precision 0 Scale 0Field description Feature geometry.Description source  ESRIDescription of values Coordinates defining the features.Field CodeAlias Code Data type Number Width 4Overview Description  Metadata DetailsMetadata language  English Metadata character set utf8 - 8 bit UCS Transfer FormatScope of the data described by the metadata  dataset Scope name  datasetLast update 2011-06-02ArcGIS metadata properties Metadata format ArcGIS 1.0 Metadata style North American Profile of ISO19115 2003Created in ArcGIS for the item 2011-06-02 16:48:35 Last modified in ArcGIS for the item 2011-06-02 16:44:43Automatic updates Have been performed Yes Last update 2011-06-02 16:44:43Item location history  Item copied or moved 2011-06-02 16:48:35 From T:\TestSites\NY\Syracuse\Temp\landcover_2010_syracusecity To \T7500\F$\Export\LandCover_2010_SyracuseCity\landcover_2010_syracusecity

  3. a

    Map Image Layer - Administrative Boundaries

    • hub.arcgis.com
    Updated Jan 12, 2022
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Minnesota Pollution Control Agency (2022). Map Image Layer - Administrative Boundaries [Dataset]. https://hub.arcgis.com/maps/c671252c058d46ad9173e0434382dc61
    Explore at:
    Dataset updated
    Jan 12, 2022
    Dataset authored and provided by
    Minnesota Pollution Control Agency
    Area covered
    Description

    The "Map Imager Layer - Administrative Boundaries" is a Map Image Layer of Administrative Boundaries. It has been designed specifically for use in ArcGIS Online (and will not directly work in ArcMap or ArcPro). This data has been modified from the original source data to serve a specific business purpose. This data is for cartographic purposes only.The Administrative Boundaries Data Group contains the following layers: Populated Places (USGS)US Census Urbanized Areas and Urban Clusters (USCB)US Census Minor Civil Divisions (USCB)PLSS Townships (MnDNR, MnGeo)Counties (USCB)American Indian, Alaska Native, Native Hawaiian (AIANNH) Areas (USCB)States (USCB)Countries (MPCA)These datasets have not been optimized for fast display (but rather they maintain their original shape/precision), therefore it is recommend that filtering is used to show only the features of interest. For more information about using filters please see "Work with map layers: Apply Filters": https://doc.arcgis.com/en/arcgis-online/create-maps/apply-filters.htmFor additional information about the Administrative Boundary Dataset please see:United States Census Bureau TIGER/Line Shapefiles and TIGER/Line Files Technical Documentation: https://www.census.gov/programs-surveys/geography/technical-documentation/complete-technical-documentation/tiger-geo-line.htmlUnited States Census Bureau Census Mapping Files: https://www.census.gov/geographies/mapping-files.htmlUnited States Census Bureau TIGER/Line Shapefiles: https://www.census.gov/geographies/mapping-files/time-series/geo/tiger-line-file.html and https://www.census.gov/cgi-bin/geo/shapefiles/index.php

  4. w

    University of Illinois Campus Deep Direct-Use Feasibility Study - Bedrock...

    • data.wu.ac.at
    zip
    Updated Jul 13, 2018
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    HarvestMaster (2018). University of Illinois Campus Deep Direct-Use Feasibility Study - Bedrock Geology ArcGIS Layers champaign_county_bedrock.zip [Dataset]. https://data.wu.ac.at/schema/geothermaldata_org/ODhkOGUwMzktMWUwYy00ZTczLTg4OTctNTdiZGFjOWVmM2Nj
    Explore at:
    zipAvailable download formats
    Dataset updated
    Jul 13, 2018
    Dataset provided by
    HarvestMaster
    Area covered
    Illinois, Champaign County, 1e0d439f5b227859789ee8323cbf6a47f0f1e636
    Description

    Bedrock Geology of Champaign County, Illinois, map layers (shapefiles).
    Layers included: 1) Champaign County bedrock units. 2) Champaign County bedrock surface contours. Contour interval of 25 feet. 3) Colchester coal surface contours. Contour interval of 50 feet. 4) Kimmswick Limestone top contours, in the Mahomet dome area. Contour interval of 20 feet. 5) New Albany shale base contour. Contour interval of 100 feet. Shapefiles (map layers) containing Bedrock Geology of Champaign County, Illinois.

  5. TIGER/Line Shapefile, Current, County, Williamson County, TN, All Roads

    • catalog.data.gov
    Updated Aug 9, 2025
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    U.S. Department of Commerce, U.S. Census Bureau, Geography Division (Point of Contact) (2025). TIGER/Line Shapefile, Current, County, Williamson County, TN, All Roads [Dataset]. https://catalog.data.gov/dataset/tiger-line-shapefile-current-county-williamson-county-tn-all-roads
    Explore at:
    Dataset updated
    Aug 9, 2025
    Dataset provided by
    United States Census Bureauhttp://census.gov/
    Area covered
    Tennessee, Williamson County
    Description

    This resource is a member of a series. 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) System (MTS). The MTS 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 All Roads shapefile includes all features within the MTS Super Class "Road/Path Features" distinguished where the MAF/TIGER Feature Classification Code (MTFCC) for the feature in the MTS that begins with "S". This includes all primary, secondary, local neighborhood, and rural roads, city streets, vehicular trails (4wd), ramps, service drives, alleys, parking lot roads, private roads for service vehicles (logging, oil fields, ranches, etc.), bike paths or trails, bridle/horse paths, walkways/pedestrian trails, and stairways.

  6. n

    Dataset Packages GIS data ZIP Download shapefile and ESRI layer file Soil...

    • datasets.seed.nsw.gov.au
    Updated Jun 30, 1998
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    (1998). Dataset Packages GIS data ZIP Download shapefile and ESRI layer file Soil landscape map JPEG Download high quality JPG map Soil landscape data package ZIP Download complete package: GIS data, soil landscape reports and JPG map. Soil landscape reports ZIP Download complete soil landscape report & individual landscape descriptions. [Dataset]. https://datasets.seed.nsw.gov.au/dataset/soil-landscapes-of-the-blackville-1-100000-sheet6cfd7
    Explore at:
    Dataset updated
    Jun 30, 1998
    License

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

    Description

    This map is one of a series of soil landscape maps that are intended for all of eastern and central NSW, based on standard 1:100,000 or 1:250,000 topographic sheets. The map provides an inventory of soil and landscape properties of the Blackville area and identifies major soil and landscape qualities and constraints. It integrates soil and topographic features into single units with relatively uniform land management requirements. Soils are described in terms of soil materials in addition to Australian Soil Classification and Great Soil Group systems. Related Datasets: The dataset area is also covered by the mapping of the Soil and Land Resources of the Liverpool Plains Catchment and Hydrogeological landscapes of NSW. Online Maps: This and related datasets can be viewed using eSPADE (NSW’s soil spatial viewer), which contains a suite of soil and landscape information including soil profile data. Many of these datasets have hot-linked soil reports. An alternative viewer is the SEED Map; an ideal way to see what other natural resources datasets (e.g. vegetation) are available for this map area. Reference: Banks RG, 1998, Soil Landscapes of the Blackville 1:100,000 Sheet map and report, NSW Department of Land and Water Conservation, Sydney.

  7. H

    CHGIS V3 Shapefiles (2005)

    • dataverse.harvard.edu
    • search.dataone.org
    Updated Mar 15, 2017
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Lex Berman (2017). CHGIS V3 Shapefiles (2005) [Dataset]. http://doi.org/10.7910/DVN/HIMIVE
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Mar 15, 2017
    Dataset provided by
    Harvard Dataverse
    Authors
    Lex Berman
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Description

    Archive containing all V3 Layers in ESRI Shapefile format. Please select either GBK or UTF8 encoded versions. For more information about this data please see: http://www.fas.harvard.edu/~chgis/data/chgis/

  8. m

    D5 2030 Hatch

    • gis.data.mass.gov
    • geodot.mass.gov
    • +1more
    Updated Dec 7, 2023
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Massachusetts geoDOT (2023). D5 2030 Hatch [Dataset]. https://gis.data.mass.gov/datasets/MassDOT::d5-2030-hatch
    Explore at:
    Dataset updated
    Dec 7, 2023
    Dataset authored and provided by
    Massachusetts geoDOT
    Area covered
    Description

    Flood Hatch ShapefilesIn addition to the three sets of rasters (Maximum Wave Heights, Water Surface Elevations, and DFEs) provided, separate shapefiles were also created to overlap and highlight special areas within the raster datasets produced for calculating DFEs. A flood hatch shapefile is not provided for every ACFEP level or for every region, but when it is provided, it encompasses the special areas for that level and region. The same hatch shapefile is applicable for all datatypes for the particular level and region. Flood hatch shapefiles encompass all areas of special values within the data rasters (including areas of 9999, 9998, and 9997 values). All regions have a 0.1% ACFEP level flood hatch shapefile because all 0.1% ACFEP rasters contain 9999 values.The flood hatch shapefiles contain individual polygons that describe the type of special area underlying that polygon’s spatial extent. For 9999 and 9998 values in the value rasters (water surface elevations, waves, and DFEs), the special hatched polygons will have the same extent of those values within those rasters. For 9997 values in the value rasters, the hatch polygon will always encompass the 9997 values, but may be larger in extent than just the location of those value cells. For these areas, water surface elevation, wave heights, and DFEs values may be provided, but they still represent a special zone.The Hatch polygons have 5 fields (Column headers) that describe each polygon within the shapefile. These fields include FID, Shape, Hatch_Type, Zones_txt, Hatch, and Hatch_Txt. The FID field contains an ID number for each polygon within that shapefile, while the Shape fieldlists the type of shapefile contained (polygon in all cases). The Hatch_Type field contains the numerical value that can be found within the value rasters (wave height, water surface, and DFE) underlying that polygon. Zones_txt and Hatch_txt are string type fields that contain descriptors of the polygon type, while the Hatch Field contains a numerical value for the type of hatching (1 for 0.1% Edge Zone, 2 for Wave Overtopping Zones, 3 for Dynamic Zone). The following table is an example of what a flood hatch file’s attribute table might look like.FIDShapeHatch_TypeZones_TxtHatchHatch_Txt0Polygon9999Shallow water flooding during extreme storms10.1% Edge Zone1Polygon9997Influenced by wave overtopping (incl. 9997 areas)2Wave Overtopping Zone2Polygon9998Dynamic Landform Areas3Dynamic ZoneSpecifically, the various hatch shapefiles can be defined as follows:• FID 0 Hatch Type – These represent areas of shallow water flooding during extreme storms. These are locations where flooding can only be expected during the most extreme events (> 1000-year return period) or where there are only minor flood depths (shallow flooding) during 1000-year return period AEP. These values only appear in 0.1% ACFEP level since they only occur at the very upper extent of extreme flooding. Water surface elevation values in these regions can be set to 0.1 foot above the site-specific land elevation to provide an estimate of the water surface elevation. Site-specific survey information may be needed to determine the land elevation. These hatch areas directly match areas with 9999 values within the rasters.• FID 1 Hatch Type – These represent wave overtopping zones. These hatch layers encompass the 9997 areas, but also include areas that have known values. Hatched areas of this type covering 9997 values would be expected to experience flooding caused by intermittent wave spray and overtopping only. Hatched areas of this type covering locations with values indicate that the flooding is caused by both direct sheet flow and wave overtopping. These hatched zones are provided for informational purposes by identifying zones that may require special design considerations for wave overtopping. Site-specific coastal processes analysis may also be required in these areas.• FID 2 Hatch Type – These represent areas where geomorphology is extremely dynamic and as such expected flooding may vary drastically. These values can appear in any ACFEP level. There are minimal locations of this type. These hatch areas directly match areas with 9998 values within the rasters.

  9. a

    SMMNA GIS Data Layers

    • egis-lacounty.hub.arcgis.com
    • geohub.lacity.org
    • +2more
    Updated Feb 3, 2022
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    County of Los Angeles (2022). SMMNA GIS Data Layers [Dataset]. https://egis-lacounty.hub.arcgis.com/datasets/smmna-gis-data-layers
    Explore at:
    Dataset updated
    Feb 3, 2022
    Dataset authored and provided by
    County of Los Angeles
    Description

    These are the main layers that were used in mapping and analysis for the Santa Monica Mountains North Area Plan, which was adopted by the Board of Supervisors on May 4, 2021. Below are some links to important documents and to actually GIS data.Plan Website - This has links to the actual plan, maps and all project related materials. Click here for website.Online Web Mapping Application - This is the online application that shows all of the layers associated with the plan. These are the same layers that will be available for download below. Click here for the web mapping application.GIS Layers - The main GIS layers used in the application are available below.Below is a list of the GIS layers provided (shapefile format):Environmental (Zipped - 4.4 MB - click here)Habitat Connectivity - Essential Connectivity Area (ECA)Vegetation Sensitivity (includes ArcGIS .lyr file for version 10.0 and higher)Scenic Resources (Zipped - 1.3 MB - click here)State-Designated Scenic Highway 200-foot buffer (Please see 'State-Designated Scenic Highway' on our Open Data site here)Scenic RouteScenic Route 200-foot buffer

  10. l

    SMMLCP GIS Data Layers

    • data.lacounty.gov
    • geohub.lacity.org
    • +2more
    Updated Jan 21, 2021
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    County of Los Angeles (2021). SMMLCP GIS Data Layers [Dataset]. https://data.lacounty.gov/datasets/smmlcp-gis-data-layers
    Explore at:
    Dataset updated
    Jan 21, 2021
    Dataset authored and provided by
    County of Los Angeles
    Description

    These are the main layers that were used in the mapping and analysis for the Santa Monica Mountains Local Coastal Plan, which was adopted by the Board of Supervisors on August 26, 2014, and certified by the California Coastal Commission on October 10, 2014. Below are some links to important documents and web mapping applications, as well as a link to the actual GIS data:

    Plan Website – This has links to the actual plan, maps, and a link to our online web mapping application known as SMMLCP-NET. Click here for website. Online Web Mapping Application – This is the online web mapping application that shows all the layers associated with the plan. These are the same layers that are available for download below. Click here for the web mapping application. GIS Layers – This is a link to the GIS layers in the form of an ArcGIS Map Package, click here (LINK TO FOLLOW SOON) for ArcGIS Map Package (version 10.3). Also, included are layers in shapefile format. Those are included below.

    Below is a list of the GIS Layers provided (shapefile format):

    Recreation (Zipped - 5 MB - click here)

    Coastal Zone Campground Trails (2012 National Park Service) Backbone Trail Class III Bike Route – Existing Class III Bike Route – Proposed

    Scenic Resources (Zipped - 3 MB - click here)

    Significant Ridgeline State-Designated Scenic Highway State-Designated Scenic Highway 200-foot buffer Scenic Route Scenic Route 200-foot buffer Scenic Element

    Biological Resources (Zipped - 45 MB - click here)

    National Hydrography Dataset – Streams H2 Habitat (High Scrutiny) H1 Habitat H1 Habitat 100-foot buffer H1 Habitat Quiet Zone H2 Habitat H3 Habitat

    Hazards (Zipped - 8 MB - click here)

    FEMA Flood Zone (100-year flood plain) Liquefaction Zone (Earthquake-Induced Liquefaction Potential) Landslide Area (Earthquake-Induced Landslide Potential) Fire Hazard and Responsibility Area

    Zoning and Land Use (Zipped - 13 MB - click here)

    Malibu LCP – LUP (1986) Malibu LCP – Zoning (1986) Land Use Policy Zoning

    Other Layers (Zipped - 38 MB - click here)

    Coastal Commission Appeal Jurisdiction Community Names Santa Monica Mountains (SMM) Coastal Zone Boundary Pepperdine University Long Range Development Plan (LRDP) Rural Village

    Contact the L.A. County Dept. of Regional Planning's GIS Section if you have questions. Send to our email.

  11. Reduced-Resolution QuickBird Imagery and Related GIS Layers for Barrow,...

    • data.nasa.gov
    • s.cnmilf.com
    • +3more
    Updated Mar 31, 2025
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    nasa.gov (2025). Reduced-Resolution QuickBird Imagery and Related GIS Layers for Barrow, Alaska, USA, Version 1 [Dataset]. https://data.nasa.gov/dataset/reduced-resolution-quickbird-imagery-and-related-gis-layers-for-barrow-alaska-usa-version-
    Explore at:
    Dataset updated
    Mar 31, 2025
    Dataset provided by
    NASAhttp://nasa.gov/
    Area covered
    Utqiagvik, Alaska, United States
    Description

    This data set contains reduced-resolution QuickBird imagery and geospatial data for the entire Barrow QuickBird image area 156.15° W - 157.07° W, 71.15° N - 71.41° N) and the Barrow B4 Quadrangle (156.29° W - 156.89° W, 71.25° N - 71.40° N), for use in Geographic Information Systems (GIS) and remote sensing software. The original QuickBird data sets were acquired by DigitialGlobe from 1 to 2 August 2002, and consist of orthorectified satellite imagery. Federal Geographic Data Committee (FGDC)-compliant metadata for all value-added data sets are provided in text, HTML, and XML formats. Accessory layers include: 1:250,000- and 1:63,360-scale USGS Digital Raster Graphic (DRG) mosaic images (GeoTIFF format); 1:250,000- and 1:63,360-scale USGS quadrangle index maps (ESRI Shapefile format); an index map for the 62 QuickBird tiles (ESRI Shapefile format); and a simple polygon layer of the extent of the Barrow QuickBird image area and the Barrow B4 quadrangle area (ESRI Shapefile format). The baseline geospatial data support education, outreach, and multi-disciplinary research of environmental change in Barrow, which is an area of focused scientific interest. Data are available either via FTP or on CD-ROM.

  12. GIS Shapefile - ZBA_point

    • search.dataone.org
    • portal.edirepository.org
    Updated Apr 11, 2019
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Cary Institute Of Ecosystem Studies; Jarlath O'Neil-Dunne; Morgan Grove (2019). GIS Shapefile - ZBA_point [Dataset]. https://search.dataone.org/view/https%3A%2F%2Fpasta.lternet.edu%2Fpackage%2Fmetadata%2Feml%2Fknb-lter-bes%2F156%2F600
    Explore at:
    Dataset updated
    Apr 11, 2019
    Dataset provided by
    Long Term Ecological Research Networkhttp://www.lternet.edu/
    Authors
    Cary Institute Of Ecosystem Studies; Jarlath O'Neil-Dunne; Morgan Grove
    Time period covered
    Jan 1, 2004 - Nov 17, 2011
    Area covered
    Description

    Tags Social system, socio-economic resources, justice, BES, Environmental Justice, Environmental disamentities, Zoning Board of Appeals Summary For use in the environmental injustices study of Baltimore relating to patterns of environmental disamenties in relation to low income/minority communities. Description This feature class layer is a point dataset of appeals to the Zoning Board of Appeals (ZBA) from 1938 to 1999 concerning identified environmental disamentities. The data was gathered from records from the Zoning Board of Appeals decisions since 1931 relating to environmental disamentities and to be used to examine environmental injustices involving low income/minority communities in Baltimore. To see if environmental injustices exist in Baltimore, this point layer will be overlayed with race/income data to determine if patterns of inequity exist. Points were placed manually using the associated addresses from the ZBA_master dataset. The ID number associated with each point is related to its appeal number from the Zoning Board of Appeals. Multiple points on the data layer have the same ZBA_ID number, making it a one-to-many relationship. This layer can be joined with the ZBA_master table using the "ZBA_point_relationship" and the field "ZBA_ID". Credits UVM Spatial Analysis Lab Use limitations None. There are no restrictions on the use of this dataset. The authors of this dataset make no representations of any kind, including but not limited to the warranties of merchantability or fitness for a particular use, nor are any such warranties to be implied with respect to the data. Extent West -76.708848 East -76.527906 North 39.371642 South 39.199548 This is part of a collection of 221 Baltimore Ecosystem Study metadata records that point to a geodatabase. The geodatabase is available online and is considerably large. Upon request, and under certain arrangements, it can be shipped on media, such as a usb hard drive. The geodatabase is roughly 51.4 Gb in size, consisting of 4,914 files in 160 folders. Although this metadata record and the others like it are not rich with attributes, it is nonetheless made available because the data that it represents could be indeed useful.

  13. NHD HUC8 Shapefile: James- 02080207

    • noaa.hub.arcgis.com
    Updated Mar 29, 2024
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    NOAA GeoPlatform (2024). NHD HUC8 Shapefile: James- 02080207 [Dataset]. https://noaa.hub.arcgis.com/maps/77aad52768f84830bedf7f9d7043f0b6
    Explore at:
    Dataset updated
    Mar 29, 2024
    Dataset provided by
    National Oceanic and Atmospheric Administrationhttp://www.noaa.gov/
    Authors
    NOAA GeoPlatform
    License

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

    Area covered
    Description

    Access National Hydrography ProductsThe National Hydrography Dataset (NHD) is a feature-based database that interconnects and uniquely identifies the stream segments or reaches that make up the nation's surface water drainage system. NHD data was originally developed at 1:100,000-scale and exists at that scale for the whole country. This high-resolution NHD, generally developed at 1:24,000/1:12,000 scale, adds detail to the original 1:100,000-scale NHD. (Data for Alaska, Puerto Rico and the Virgin Islands was developed at high-resolution, not 1:100,000 scale.) Local resolution NHD is being developed where partners and data exist. The NHD contains reach codes for networked features, flow direction, names, and centerline representations for areal water bodies. Reaches are also defined on waterbodies and the approximate shorelines of the Great Lakes, the Atlantic and Pacific Oceans and the Gulf of Mexico. The NHD also incorporates the National Spatial Data Infrastructure framework criteria established by the Federal Geographic Data Committee.The NHD is a national framework for assigning reach addresses to water-related entities, such as industrial discharges, drinking water supplies, fish habitat areas, wild and scenic rivers. Reach addresses establish the locations of these entities relative to one another within the NHD surface water drainage network, much like addresses on streets. Once linked to the NHD by their reach addresses, the upstream/downstream relationships of these water-related entities--and any associated information about them--can be analyzed using software tools ranging from spreadsheets to geographic information systems (GIS). GIS can also be used to combine NHD-based network analysis with other data layers, such as soils, land use and population, to help understand and display their respective effects upon one another. Furthermore, because the NHD provides a nationally consistent framework for addressing and analysis, water-related information linked to reach addresses by one organization (national, state, local) can be shared with other organizations and easily integrated into many different types of applications to the benefit of all.Statements of attribute accuracy are based on accuracy statements made for U.S. Geological Survey Digital Line Graph (DLG) data, which is estimated to be 98.5 percent. One or more of the following methods were used to test attribute accuracy: manual comparison of the source with hardcopy plots; symbolized display of the DLG on an interactive computer graphic system; selected attributes that could not be visually verified on plots or on screen were interactively queried and verified on screen. In addition, software validated feature types and characteristics against a master set of types and characteristics, checked that combinations of types and characteristics were valid, and that types and characteristics were valid for the delineation of the feature. Feature types, characteristics, and other attributes conform to the Standards for National Hydrography Dataset (USGS, 1999) as of the date they were loaded into the database. All names were validated against a current extract from the Geographic Names Information System (GNIS). The entry and identifier for the names match those in the GNIS. The association of each name to reaches has been interactively checked, however, operator error could in some cases apply a name to a wrong reach.Points, nodes, lines, and areas conform to topological rules. Lines intersect only at nodes, and all nodes anchor the ends of lines. Lines do not overshoot or undershoot other lines where they are supposed to meet. There are no duplicate lines. Lines bound areas and lines identify the areas to the left and right of the lines. Gaps and overlaps among areas do not exist. All areas close.The completeness of the data reflects the content of the sources, which most often are the published USGS topographic quadrangle and/or the USDA Forest Service Primary Base Series (PBS) map. The USGS topographic quadrangle is usually supplemented by Digital Orthophoto Quadrangles (DOQs). Features found on the ground may have been eliminated or generalized on the source map because of scale and legibility constraints. In general, streams longer than one mile (approximately 1.6 kilometers) were collected. Most streams that flow from a lake were collected regardless of their length. Only definite channels were collected so not all swamp/marsh features have stream/rivers delineated through them. Lake/ponds having an area greater than 6 acres were collected. Note, however, that these general rules were applied unevenly among maps during compilation. Reach codes are defined on all features of type stream/river, canal/ditch, artificial path, coastline, and connector. Waterbody reach codes are defined on all lake/pond and most reservoir features. Names were applied from the GNIS database. Detailed capture conditions are provided for every feature type in the Standards for National Hydrography Dataset available online through https://prd-wret.s3-us-west-2.amazonaws.com/assets/palladium/production/atoms/files/NHD%201999%20Draft%20Standards%20-%20Capture%20conditions.PDF.Statements of horizontal positional accuracy are based on accuracy statements made for U.S. Geological Survey topographic quadrangle maps. These maps were compiled to meet National Map Accuracy Standards. For horizontal accuracy, this standard is met if at least 90 percent of points tested are within 0.02 inch (at map scale) of the true position. Additional offsets to positions may have been introduced where feature density is high to improve the legibility of map symbols. In addition, the digitizing of maps is estimated to contain a horizontal positional error of less than or equal to 0.003 inch standard error (at map scale) in the two component directions relative to the source maps. Visual comparison between the map graphic (including digital scans of the graphic) and plots or digital displays of points, lines, and areas, is used as control to assess the positional accuracy of digital data. Digital map elements along the adjoining edges of data sets are aligned if they are within a 0.02 inch tolerance (at map scale). Features with like dimensionality (for example, features that all are delineated with lines), with or without like characteristics, that are within the tolerance are aligned by moving the features equally to a common point. Features outside the tolerance are not moved; instead, a feature of type connector is added to join the features.Statements of vertical positional accuracy for elevation of water surfaces are based on accuracy statements made for U.S. Geological Survey topographic quadrangle maps. These maps were compiled to meet National Map Accuracy Standards. For vertical accuracy, this standard is met if at least 90 percent of well-defined points tested are within one-half contour interval of the correct value. Elevations of water surface printed on the published map meet this standard; the contour intervals of the maps vary. These elevations were transcribed into the digital data; the accuracy of this transcription was checked by visual comparison between the data and the map.

  14. NHD HUC8 Shapefile: Rappahannock - 02080103

    • noaa.hub.arcgis.com
    Updated Mar 28, 2024
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    NOAA GeoPlatform (2024). NHD HUC8 Shapefile: Rappahannock - 02080103 [Dataset]. https://noaa.hub.arcgis.com/maps/7abd0b06b9f74022b92389217f3d84dd
    Explore at:
    Dataset updated
    Mar 28, 2024
    Dataset provided by
    National Oceanic and Atmospheric Administrationhttp://www.noaa.gov/
    Authors
    NOAA GeoPlatform
    License

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

    Area covered
    Description

    Access National Hydrography ProductsThe National Hydrography Dataset (NHD) is a feature-based database that interconnects and uniquely identifies the stream segments or reaches that make up the nation's surface water drainage system. NHD data was originally developed at 1:100,000-scale and exists at that scale for the whole country. This high-resolution NHD, generally developed at 1:24,000/1:12,000 scale, adds detail to the original 1:100,000-scale NHD. (Data for Alaska, Puerto Rico and the Virgin Islands was developed at high-resolution, not 1:100,000 scale.) Local resolution NHD is being developed where partners and data exist. The NHD contains reach codes for networked features, flow direction, names, and centerline representations for areal water bodies. Reaches are also defined on waterbodies and the approximate shorelines of the Great Lakes, the Atlantic and Pacific Oceans and the Gulf of Mexico. The NHD also incorporates the National Spatial Data Infrastructure framework criteria established by the Federal Geographic Data Committee.The NHD is a national framework for assigning reach addresses to water-related entities, such as industrial discharges, drinking water supplies, fish habitat areas, wild and scenic rivers. Reach addresses establish the locations of these entities relative to one another within the NHD surface water drainage network, much like addresses on streets. Once linked to the NHD by their reach addresses, the upstream/downstream relationships of these water-related entities--and any associated information about them--can be analyzed using software tools ranging from spreadsheets to geographic information systems (GIS). GIS can also be used to combine NHD-based network analysis with other data layers, such as soils, land use and population, to help understand and display their respective effects upon one another. Furthermore, because the NHD provides a nationally consistent framework for addressing and analysis, water-related information linked to reach addresses by one organization (national, state, local) can be shared with other organizations and easily integrated into many different types of applications to the benefit of all.Statements of attribute accuracy are based on accuracy statements made for U.S. Geological Survey Digital Line Graph (DLG) data, which is estimated to be 98.5 percent. One or more of the following methods were used to test attribute accuracy: manual comparison of the source with hardcopy plots; symbolized display of the DLG on an interactive computer graphic system; selected attributes that could not be visually verified on plots or on screen were interactively queried and verified on screen. In addition, software validated feature types and characteristics against a master set of types and characteristics, checked that combinations of types and characteristics were valid, and that types and characteristics were valid for the delineation of the feature. Feature types, characteristics, and other attributes conform to the Standards for National Hydrography Dataset (USGS, 1999) as of the date they were loaded into the database. All names were validated against a current extract from the Geographic Names Information System (GNIS). The entry and identifier for the names match those in the GNIS. The association of each name to reaches has been interactively checked, however, operator error could in some cases apply a name to a wrong reach.Points, nodes, lines, and areas conform to topological rules. Lines intersect only at nodes, and all nodes anchor the ends of lines. Lines do not overshoot or undershoot other lines where they are supposed to meet. There are no duplicate lines. Lines bound areas and lines identify the areas to the left and right of the lines. Gaps and overlaps among areas do not exist. All areas close.The completeness of the data reflects the content of the sources, which most often are the published USGS topographic quadrangle and/or the USDA Forest Service Primary Base Series (PBS) map. The USGS topographic quadrangle is usually supplemented by Digital Orthophoto Quadrangles (DOQs). Features found on the ground may have been eliminated or generalized on the source map because of scale and legibility constraints. In general, streams longer than one mile (approximately 1.6 kilometers) were collected. Most streams that flow from a lake were collected regardless of their length. Only definite channels were collected so not all swamp/marsh features have stream/rivers delineated through them. Lake/ponds having an area greater than 6 acres were collected. Note, however, that these general rules were applied unevenly among maps during compilation. Reach codes are defined on all features of type stream/river, canal/ditch, artificial path, coastline, and connector. Waterbody reach codes are defined on all lake/pond and most reservoir features. Names were applied from the GNIS database. Detailed capture conditions are provided for every feature type in the Standards for National Hydrography Dataset available online through https://prd-wret.s3-us-west-2.amazonaws.com/assets/palladium/production/atoms/files/NHD%201999%20Draft%20Standards%20-%20Capture%20conditions.PDF.Statements of horizontal positional accuracy are based on accuracy statements made for U.S. Geological Survey topographic quadrangle maps. These maps were compiled to meet National Map Accuracy Standards. For horizontal accuracy, this standard is met if at least 90 percent of points tested are within 0.02 inch (at map scale) of the true position. Additional offsets to positions may have been introduced where feature density is high to improve the legibility of map symbols. In addition, the digitizing of maps is estimated to contain a horizontal positional error of less than or equal to 0.003 inch standard error (at map scale) in the two component directions relative to the source maps. Visual comparison between the map graphic (including digital scans of the graphic) and plots or digital displays of points, lines, and areas, is used as control to assess the positional accuracy of digital data. Digital map elements along the adjoining edges of data sets are aligned if they are within a 0.02 inch tolerance (at map scale). Features with like dimensionality (for example, features that all are delineated with lines), with or without like characteristics, that are within the tolerance are aligned by moving the features equally to a common point. Features outside the tolerance are not moved; instead, a feature of type connector is added to join the features.Statements of vertical positional accuracy for elevation of water surfaces are based on accuracy statements made for U.S. Geological Survey topographic quadrangle maps. These maps were compiled to meet National Map Accuracy Standards. For vertical accuracy, this standard is met if at least 90 percent of well-defined points tested are within one-half contour interval of the correct value. Elevations of water surface printed on the published map meet this standard; the contour intervals of the maps vary. These elevations were transcribed into the digital data; the accuracy of this transcription was checked by visual comparison between the data and the map.

  15. High-Resolution Radar Imagery, Digital Elevation Models, and Related GIS...

    • data.nasa.gov
    • s.cnmilf.com
    • +1more
    Updated Mar 31, 2025
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    nasa.gov (2025). High-Resolution Radar Imagery, Digital Elevation Models, and Related GIS Layers for Barrow, Alaska, USA, Version 1 [Dataset]. https://data.nasa.gov/dataset/high-resolution-radar-imagery-digital-elevation-models-and-related-gis-layers-for-barrow-a
    Explore at:
    Dataset updated
    Mar 31, 2025
    Dataset provided by
    NASAhttp://nasa.gov/
    Area covered
    Utqiagvik, Alaska, United States
    Description

    This product set contains high-resolution Interferometric Synthetic Aperture Radar (IFSAR) imagery and geospatial data for the Barrow Peninsula (155.39 - 157.48 deg W, 70.86 - 71.47 deg N) and Barrow Triangle (156.13 - 157.08 deg W, 71.14 - 71.42 deg N), for use in Geographic Information Systems (GIS) and remote sensing software. The primary IFSAR data sets were acquired by Intermap Technologies from 27 to 29 July 2002, and consist of Orthorectified Radar Imagery (ORRI), a Digital Surface Model (DSM), and a Digital Terrain Model (DTM). Derived data layers include aspect, shaded relief, and slope-angle grids (floating-point binary and ArcInfo grid format), as well as a vector layer of contour lines (ESRI Shapefile format). Also available are accessory layers compiled from other sources: 1:250,000- and 1:63,360-scale USGS Digital Raster Graphic (DRG) mosaic images (GeoTIFF format); 1:250,000- and 1:63,360-scale USGS quadrangle index maps (ESRI Shapefile format); a quarter-quadrangle index map for the 26 IFSAR tiles (ESRI Shapefile format); and a simple polygon layer of the extent of the Barrow Peninsula (ESRI Shapefile format). Unmodified IFSAR data comprise 26 data tiles across UTM zones 4 and 5. The DSM and DTM tiles (5 m resolution) are provided in floating-point binary format with header and projection files. The ORRI tiles (1.25 m resolution) are available in GeoTIFF format. FGDC-compliant metadata for all data sets are provided in text, HTML, and XML formats, along with the Intermap License Agreement and product handbook. The baseline geospatial data support education, outreach, and multi-disciplinary research of environmental change in Barrow, which is an area of focused scientific interest. Data are provided on five DVDs, available through licensing only to National Science Foundation (NSF)-funded investigators. An NSF award number must be provided when ordering data.

  16. n

    Dataset Packages GIS data ZIP Download shapefile and ESRI layer file Soil...

    • datasets.seed.nsw.gov.au
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Dataset Packages GIS data ZIP Download shapefile and ESRI layer file Soil landscape map JPEG Download high quality JPG map Soil landscape reports ZIP Download complete soil landscape report & individual landscape descriptions Soil landscape data package ZIP Download complete package: GIS data, soil landscape reports and JPG map. [Dataset]. https://datasets.seed.nsw.gov.au/dataset/soil-landscapes-of-the-curlewis-1-100000-sheet12e80
    Explore at:
    License

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

    Description

    This map is one of a series of soil landscape maps that are intended for all of central and eastern NSW, based on standard 1:100,000 and 1:250,000 topographic sheets. The map provides an inventory of soil and landscape properties of the area and identifies major soil and landscape qualities and constraints. It integrates soil and topographic features into single units with relatively uniform land management requirements. Soils are described in terms of soil materials in addition to the Great Soil Group and Northcote classification systems. Related Datasets: The dataset area is also covered by the mapping of the Soil and Land Resources of the Liverpool Plains Catchment. Online Maps: This and related datasets can be viewed using eSPADE (NSW’s soil spatial viewer), which contains a suite of soil and landscape information including soil profile data. Many of these datasets have hot-linked soil reports. An alternative viewer is the SEED Map; an ideal way to see what other natural resources datasets (e.g. vegetation) are available for this map area. Reference: Banks, R.G., 1994. Soil Landscapes of the Curlewis 1:100,000 Sheet map, edition 1, NSW Department of Conservation and Land Management, Sydney. Banks, R.G., 1995. Soil Landscapes of the Braidwood 1:100,000 Sheet report, edition 1, NSW Department of Conservation and Land Management, Sydney.

  17. TIGER/Line Shapefile, Current, County, Orleans Parish, LA, All Roads

    • catalog.data.gov
    Updated Aug 7, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    U.S. Department of Commerce, U.S. Census Bureau, Geography Division (Point of Contact) (2025). TIGER/Line Shapefile, Current, County, Orleans Parish, LA, All Roads [Dataset]. https://catalog.data.gov/dataset/tiger-line-shapefile-current-county-orleans-parish-la-all-roads
    Explore at:
    Dataset updated
    Aug 7, 2025
    Dataset provided by
    United States Census Bureauhttp://census.gov/
    Area covered
    Orleans Parish, Louisiana
    Description

    This resource is a member of a series. 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) System (MTS). The MTS 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 All Roads shapefile includes all features within the MTS Super Class "Road/Path Features" distinguished where the MAF/TIGER Feature Classification Code (MTFCC) for the feature in the MTS that begins with "S". This includes all primary, secondary, local neighborhood, and rural roads, city streets, vehicular trails (4wd), ramps, service drives, alleys, parking lot roads, private roads for service vehicles (logging, oil fields, ranches, etc.), bike paths or trails, bridle/horse paths, walkways/pedestrian trails, and stairways.

  18. GIS World Data Files

    • kaggle.com
    zip
    Updated Dec 31, 2020
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Vivekkumar Gediya (2020). GIS World Data Files [Dataset]. https://www.kaggle.com/vivekgediya/shpfile
    Explore at:
    zip(3334594 bytes)Available download formats
    Dataset updated
    Dec 31, 2020
    Authors
    Vivekkumar Gediya
    License

    https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/

    Description

    Excellent world shapefile maps with national boundaries, first order admin (provinces, states, etc.), disputed areas, coastlines, populated areas and more at various scale levels.

    World Countries (Generalized) is a generalized layer of country level boundaries which can be used at small to medium scales (e.g. down to 1:2m scale). The boundaries have been generalized to support faster rendering at small scales. Included are attributes for name and ISO codes, along with country affiliation information.

  19. TIGER/Line Shapefile, 2021, County, Lake County, CA, All Roads

    • catalog.data.gov
    Updated Nov 1, 2022
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    U.S. Department of Commerce, U.S. Census Bureau, Geography Division, Spatial Data Collection and Products Branch (Publisher) (2022). TIGER/Line Shapefile, 2021, County, Lake County, CA, All Roads [Dataset]. https://catalog.data.gov/dataset/tiger-line-shapefile-2021-county-lake-county-ca-all-roads
    Explore at:
    Dataset updated
    Nov 1, 2022
    Dataset provided by
    United States Census Bureauhttp://census.gov/
    Area covered
    Lake County, California
    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 All Roads Shapefile includes all features within the MTDB Super Class "Road/Path Features" distinguished where the MAF/TIGER Feature Classification Code (MTFCC) for the feature in MTDB that begins with "S". This includes all primary, secondary, local neighborhood, and rural roads, city streets, vehicular trails (4wd), ramps, service drives, alleys, parking lot roads, private roads for service vehicles (logging, oil fields, ranches, etc.), bike paths or trails, bridle/horse paths, walkways/pedestrian trails, stairways, and winter trails.

  20. e

    GIS Shapefile - Ordinance_parcels

    • portal.edirepository.org
    • search.datacite.org
    zip
    Updated Dec 31, 2009
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Jarlath O'Neil-Dunne; Morgan Grove (2009). GIS Shapefile - Ordinance_parcels [Dataset]. http://doi.org/10.6073/pasta/5fcffdc9bc7e7e51a610f0bc628736ea
    Explore at:
    zip(160 kilobyte)Available download formats
    Dataset updated
    Dec 31, 2009
    Dataset provided by
    EDI
    Authors
    Jarlath O'Neil-Dunne; Morgan Grove
    Time period covered
    Jan 1, 2004 - Nov 17, 2011
    Area covered
    Description

    social system, socio-economic resources, justice, BES, Environmental disamentities, Environmental Justice, Zoning Board of Appeals

       Summary
    
    
       For use in the environmental injustices study of Baltimore relating to patterns of environmental disamenties in relation to low income/minority communities.
    
    
       Description
    
    
       This feature class layer is a point dataset of authorizing ordinances from the Baltimore City Council and Mayor from 1930 until 1999 concerning identified environmental disamentities. The data was gathered from records from the City Council since 1930 relating to decisions concerning land-uses considered to be environmental disamentities and is to be used to examine environmental injustices involving low income/minority communities in Baltimore. To examine if environmental injustices exist in Baltimore, this point layer will be overlayed with race/income data to determine if patterns of inequity exist. Points were placed manually using the associated addresses from the Ordinance_master dataset and using ISTAR 2004 data in conjunction with Baltimore parcel data. The Ordinance_ID number associated with each point relates to its appeal number from the City Council. Multiple points on the data layer have the same Ordinance_ID. This point layer can be joined with the Ordinance_master data layer based on the field "Ordinance_ID" and using the relationship "Ordinance_point_relationship".
    
    
       Credits
    
    
       UVM Spatial Analysis Lab
    
    
       Use limitations
    
    
       None. There are no restrictions on the use of this dataset. The authors of this dataset make no representations of any kind, including but not limited to the warranties of merchantability or fitness for a particular use, nor are any such warranties to be implied with respect to the data.
    
    
       Extent
    
    
    
       West -76.707701  East -76.526991 
    
       North 39.371885  South 39.200794 
    
    
    
       This is part of a collection of 221 Baltimore Ecosystem Study metadata records that point to a geodatabase.
    
    
       The geodatabase is available online and is considerably large. Upon request, and under certain arrangements, it can be shipped on media, such as a usb hard drive.
    
    
       The geodatabase is roughly 51.4 Gb in size, consisting of 4,914 files in 160 folders.
    
    
       Although this metadata record and the others like it are not rich with attributes, it is nonetheless made available because the data that it represents could be indeed useful.
    
    
       This is part of a collection of 221 Baltimore Ecosystem Study metadata records that point to a geodatabase.
    
    
       The geodatabase is available online and is considerably large. Upon request, and under certain arrangements, it can be shipped on media, such as a usb hard drive.
    
    
       The geodatabase is roughly 51.4 Gb in size, consisting of 4,914 files in 160 folders.
    
    
       Although this metadata record and the others like it are not rich with attributes, it is nonetheless made available because the data that it represents could be indeed useful.
    
Share
FacebookFacebook
TwitterTwitter
Email
Click to copy link
Link copied
Close
Cite
California Department of Water Resources (2025). DSM2 Georeferenced Model Grid [Dataset]. https://data.cnra.ca.gov/dataset/dsm2-georeferenced-model-grid

DSM2 Georeferenced Model Grid

Explore at:
pdf(22679496), pdf(25962387), zip(158973), arcgis desktop map package(211110), zip(228604), pdf(22669649), zip(26881), arcgis pro map package(153901), zip(159621), pdf(20463896), arcgis desktop map package(300515), pdf(1443441), zip(140121), zip(149795)Available download formats
Dataset updated
Sep 12, 2025
Dataset authored and provided by
California Department of Water Resources
Description

ArcGIS and QGIS map packages, with ESRI shapefiles for the DSM2 Model Grid. These are not finalized products. Locations in these shapefiles are approximate.

Monitoring Stations - shapefile with approximate locations of monitoring stations.

DSM2 Grid 2025-05-28 Historical

FC_2023.01

DSM2 v8.2.0, calibrated version:

  • dsm2_8_2_grid_map_calibrated.mpkx - ArcGIS Pro map package containing all layers and symbology for the calibrated grid map.
  • dsm2_8_2_grid_map_calibrated.mpk - ArcGIS Desktop map package containing all layers and symbology for the calibrated grid map.
  • dsm2_8_2_0_calibrated_grid_map_qgis.zip - QGIS map package containing all layers and symbology for the calibrated grid map.
  • dsm2_8_2_0_calibrated_gridmap_shapefiles.zip - A zip file containing all the shapefiles used in the above map packages:
  • dsm2_8_2_0_calibrated_channels_centerlines - channel centerlines, follwing the path of CSDP centerlines
  • dsm2_8_2_0_calibrated_network_channels - channels represented by straight line segments which are connected the upstream and downstream nodes
  • dsm2_8_2_0_calibrated_nodes - DSM2 nodes
  • dsm2_8_2_0_calibrated_dcd_only_nodes - Nodes that are only used by DCD
  • dsm2_8_2_0_calibrated_and_dcd_nodes - Nodes that are shared by DSM2 and DCD
  • dsm2_8_2_0_calibrated_and_smcd_nodes - Nodes that are shared by DSM2 and SMCD
  • dsm2_8_2_0_calibrated_gates_actual_loc - The approximate actual locations of each gate in DSM2
  • dsm2_8_2_0_calibrated_gates_grid_loc - The locations of each gate in the DSM2 model grid
  • dsm2_8_2_0_calibrated_reservoirs - The approximate locations of the reservoirs in DSM2
  • dsm2_8_2_0_calibrated_reservoir_connections - Lines showing connections from reservoirs to nodes in DSM2

DSM2 v8.2.1, historical version:

  • DSM2 v8.2.1, historical version grid map release notes (PDF), updated 7/12/2022
  • DSM2 v8.2.1, historical version grid map, single zoom level (PDF)
  • DSM2 v8.2.1, historical version grid map, multiple zoom levels (PDF) - PDF grid map designed to be printed on 3 foot wide plotter paper.
  • DSM2 v8.2.1, historical version map package for ArcGIS Desktop: A map package for ArcGIS Desktop containing the grid map layers with symbology.
  • DSM2 v8.2.1, historical version grid map shapefiles (zip): A zip file containing the shapefiles used in the grid map.

Change Log

7/12/2022: The document "DSM2 v8.2.1, historical version grid map release notes (PDF)" was corrected by removing section 4.4, which incorrectly stated that the grid included channels 710-714, representing the Toe Drain, and that the Yolo Flyway restoration area was included.

Search
Clear search
Close search
Google apps
Main menu