Habitat Sites are natural areas that support wildlilfe on both public and privately owned land. Approximately 3,800 of the 146,240 acres within the city limits serve as habitat sites. Among the 97 individual habitat sites identified in 2004 using mapping tools, aerial imagery, site-visits, and previous inventory studies, most are located along the Chicago River and on the shorelines of Lake Michigan and Lake Calumet natural areas that support wildlife. To view or use this file, special GIS software such as Google Earth is required. To download, right-click the "Download" link above and choose "Save link as."

The Damage Tracks (Open Data) feature layer contains 4 layers:Tornado Centreline & Start/End Points - Includes the start and end points as columns of coordinate pairs, you can view these by clicking on the layer or by downloading the layer. When downloading the tornado centrelines themselves, be sure to download as a KML or shapefile to obtain the complete damage path. Downloading as a CSV will only provide the start points and end points.Tornado Worst PointDownburst Extent Downburst Worst Point To view more layers, or to search for event specific layers, navigate back to the NTP Open Data Site.

This service consists of four maps of snow characteristics for the coterminous U.S.: snow water equivalent, snow depth, mean snowpack temperature, and snowmelt. The data can be viewed as a graphic at the NOHRSC website.Link to graphical web page: http://www.nohrsc.noaa.gov/nsa/Link to data download: http://www.nohrsc.noaa.gov/archived_data/Link to metadataQuestions/Concerns about the service, please contact the IDP-GIS team.Many of the National Weather Service data sets are available in formats that are able to be imported directly into Geographic Information Systems (GIS) or your own custom map viewers or web pages. Data formats include downloadable shapefiles, web services, KML files and our basemaps in shapefile format.As more data is made available in these formats, links to the data will be added to these pages. Click one of the GIS format links above to start exploring the NWS GIS data currently available!See this Esri Story Map to show various types of NWS data that are available for public use. There are many links within the Story Map that can provide you with additional information about how you can use NWS data for yourself.

Note that due to the quantity and complexity of the data there is scale dependent rendering enabled. The vector data only draws when zoomed in to 1:250,000 map scale or larger. To view the wetlands data at a smaller scale utilize the Wetlands Raster service (https://www.fws.gov/wetlandsmapservice/rest/services/Wetlands_Raster/ImageServer) to display generalized wetlands at all scales.. For specific questions or assistance please email wetlands_team@fws.gov.For more information visit: https://www.fws.gov/wetlands/index.htmlView Wetlands Data on the Wetlands Mapper at: https://www.fws.gov/wetlands/Data/Mapper.htmlWetlands Web Services are available at: https://www.fws.gov/wetlands/Data/Web-Map-Services.htmlWetlands Data available as a KML at: https://www.fws.gov/wetlands/Data/Google-Earth.htmlWetlands Data Downloads available at: https://www.fws.gov/wetlands/Data/Data-Download.htmlWetland Data Standards available at: https://www.fws.gov/wetlands/Data/Data-Standards.htmlWetland Codes available at: https://www.fws.gov/wetlands/Data/Wetland-Codes.htm

Vector polygon map data of property parcels from Polk County, Iowa containing 175,356 features.

Property parcel GIS map data consists of detailed information about individual land parcels, including their boundaries, ownership details, and geographic coordinates.

Property parcel data can be used to analyze and visualize land-related information for purposes such as real estate assessment, urban planning, or environmental management.

Available for viewing and sharing as a map in a Koordinates map viewer. This data is also available for export to DWG for CAD, PDF, KML, CSV, and GIS data formats, including Shapefile, MapInfo, and Geodatabase.

Vector polygon map data of property parcels from Harris County, Texas containing 1,410,276 features.

Property parcel GIS map data consists of detailed information about individual land parcels, including their boundaries, ownership details, and geographic coordinates.

Property parcel data can be used to analyze and visualize land-related information for purposes such as real estate assessment, urban planning, or environmental management.

Available for viewing and sharing in a Koordinates map viewer. This data is also available for export to DWG for CAD, PDF, KML, CSV, and GIS data formats, including Shapefile, MapInfo, and Geodatabase.

The North American Rail Network (NARN) Rail Lines dataset was created in 2016 and was updated on April 09, 2025 from the Federal Railroad Administration (FRA) and is part of the U.S. Department of Transportation (USDOT)/Bureau of Transportation Statistics (BTS) National Transportation Atlas Database (NTAD). The NARN Rail Lines dataset is a database that provides ownership, trackage rights, type, passenger, STRACNET, and geographic reference for North America's railway system at 1:24,000 or better within the United States. The data set covers all 50 States, the District of Columbia, Mexico, and Canada. A data dictionary, or other source of attribute information, is accessible at https://doi.org/10.21949/1528950

OBIS-USA provides aggregated, interoperable biogeographic data collected primarily from U.S. waters and oceanic regions--the Arctic, the Atlantic and Pacific oceans, the Caribbean Sea, Gulf of Mexico and the Great Lakes. It provides access to datasets from state and federal agencies as well as educational and research institutions. OBIS-USA handles both specimen-based data and survey results. Survey data come from recovered archives and current research activities. The datasets document where and when species were observed or collected, bringing together marine biogeographic data that are spatially, taxonomically, and temporally comprehensive. The public OBIS-USA site (http://www.usgs.gov/obis-usa) provides actual data contents as well as summary data about what is contained in each dataset to assist users in evaluating suitability for use. Current functionality allows the user to locate, view, and aggregate the datasets and FGDC compliant metadata as well as to view and search the taxonomic, geographic, and temporal extent. To promote data interoperability, the data are available in accordance with the marine-focused implementation of the Darwin Core data standard. In addition to basic download functions (tab-delimited), OBIS-USA offers web services for query flexibility and a wide range of output formats, such as kml, NetCDF, MATLAB, json, and graph or map output, to enable diverse types of scientific and geospatial data use and analysis platforms and products. OBIS-USA's two web services (ERDDAP and GeoServer) enable integration of OBIS-USA biogeographic data with other data types, such as seafloor geology, physical oceanography, water chemistry, and climate data. The NOAA Environmental Research Division Data Access Program(ERRDDAP) enables users to query scientific data by flexible parameters and obtain output in many formats. Access can be found at http://www1.usgs.gov/erddap/tabledap/AllMBG.html . OBIS-USA uses the tabledap component of ERDDAP to access Darwin-Core-type tabular spatial data; tabledap is a superset of the OPeNDAP DAP constraint protocol. OBIS-USA offers an ESRI REST Service with access to Darwin-Core-type point data at http://gis1.usgs.gov/arcgis/rest/services/OBISUSA/OBIS_USA_All_Marine_Biogeographic_Records/MapServer/ and an OGC compliant Web Mapping Service (wms) http://gis1.usgs.gov/arcgis/services/OBISUSA/OBIS_USA_All_Marine_Biogeographic_Records/MapServer/WMSServer?request=GetCapabilities&service=WMS. OBIS-USA and collaborators are further deploying the Darwin Core standard to capture richer information, such as absence and abundance, observations on effort, individual tracking, and more advanced biogeography capabilities. Data are accepted into OBIS-USA from the data originator or holder, minimizing the burden on the participant. OBIS-USA works with data providers to understand the best process to transfer the data, review the data prior to their release, gather comprehensive metadata, and then allow public access to this information. Becoming part of the OBIS-USA network is intended to have tangible benefits for participants, for example, freeing the participant from responding to requests for data and alleviating security concerns since users do not directly access the participant's computers.

New political and administrative boundaries Shapefile of Nepal. Downloaded and republished from the Survey Department website.

These data depict the elevation features of Konza Prairie. Record type 1 is a 2 meter resolution digital elevation model (DEM) of Konza Prairie, generated from 2006 LiDAR DEM data collected to standard USGS specifications (GIS200). Record type 3 is a 2010 10 meter (1/3 arc second) resolution National Elevation Dataset (NED) DEM of Konza Prairie (GIS202). Record type 4 is a 10 meter resolution NED DEM of Konza Prairie with a modified 3 kilometer buffer (GIS203). Record type 5 is a USGS topographic map of Konza Prairie (GIS204). These data are available to download as zipped shapefiles (.zip), compressed Google Earth KML layers (.kmz), and associated EML metadata (.xml).

The dataset represents the most current mapping of active faults for New Zealand in a single database, designed for portrayal at 1:250,000 scale. It is produced by GNS Science and derived from the QMAP Geological Map of New Zealand Project and the high-resolution New Zealand Active Faults Database (NZAFD-HighRes).

Active faults are defined as those that have ruptured and/or caused ground surface deformation during the last 125,000 years (except for in the Taupō Volcanic Zone / Taupō Rift, where the definition of activity is restricted to only include the last 25,000 years). This dataset includes only onshore active faults, with the exception of offshore faults that ruptured during the 2016 Kaikōura earthquake.

The 1:250,000 scale NZ Active Faults Database (NZAFD-AF250) is a feature class in vector format stored in a PostrgeSQL database. It comprises polylines, with each line representing the location of an active fault trace at or near the surface. Each fault trace has attributes that describe its name, orientation, displacement, sense of movement, time of last movement and other fault activity parameters.

The dataset is published to the GNS ArcGIS server as a web service layer which is intermittently updated with new information. The data can also be viewed through the NZAFD website and downloaded from there in shapefile, KML, JSON and text formats; however, these are not updated as frequently as the web service and are static copies of the database with the timestamp in the file name.

To credit the use of the data in publications, we recommend citation of the 1:250,000 scale Active Faults Database paper:

Langridge, R.M., Ries, W.F., Litchfield, N.J., Villamor, P., Van Dissen, R.J., Barrell, D.J.A., Rattenbury, M.S., Heron, D.W., Haubrock, S., Townsend, D.B., Lee, J.M., Berryman, K.R., Nicol, A., Cox, S.C., Stirling, M.W. (2016). The New Zealand Active Faults Database. New Zealand Journal of Geology and Geophysics 59: 86-96. doi: https://doi.org/10.1080/00288306.2015.1112818

Data download: Timestamped copy from https://data.gns.cri.nz/af/

Web Service: The NZAFD-AF250 is published as the '1:250 000 Active Faults' layer in a combined web service at https://gis.gns.cri.nz/server/rest/services/Active_Faults The layer only turns on when zoomed out for viewing at a regional scale. For more information on the web service see https://doi.org/10.21420/wa26-0n32?x=y

Metadata DOI: https://doi.org/10.21420/R1QN-BM52?x=y

Explore the categories or search bar below to find data relating to topics of interest. To view all available layers select the magnifying glass next to the search window. As you browse through the different data, the extent of each will be displayed on the map. Once you find what you are looking for, select the data to be able to view the data and get options for download.Data is offered for download in several ways. First the data can be downloaded as shapefiles or KML for GIS applications, and CSV for tables and spreadsheets. Additionally, by using the API link, data from this site can be embedded in other applications with the feature service link or GeoJson.

[Superseded]This dataset is a single layer from [Superseded] City Plan 2014 – v16.00–2020 collection. Not all layers were updated in this amendment, for more information on past Adopted City Plan amendments.This feature class provides the Neighbourhood Plan sub-precincts from Brisbane City Plan 2014.For information about the neighbourhood plans and how they are applied, please refer to the Brisbane City Plan 2014 document.This dataset utilises Brisbane City Council's Open Spatial Data website …Show full description[Superseded]This dataset is a single layer from [Superseded] City Plan 2014 – v16.00–2020 collection. Not all layers were updated in this amendment, for more information on past Adopted City Plan amendments.This feature class provides the Neighbourhood Plan sub-precincts from Brisbane City Plan 2014.For information about the neighbourhood plans and how they are applied, please refer to the Brisbane City Plan 2014 document.This dataset utilises Brisbane City Council's Open Spatial Data website to provide additional features for viewing and downloading the data.The first resource is in HTML format. The GO TO button will launch our Open Spatial Data website and this will let you preview the data and enable additional download options. The resources labelled GeoJSON, KML and SHP will give you a download of the entire dataset. The ESRI REST resource connects to metadata for the layer while the CSV resource will download attribute data in a table. For more information on the new features and other tips and tricks please read our Blog.

MET Stations in Panama v.2022This application allows you to find Meteorological Stations (MET) in the Republic of Panama. The MET's are divided by those administered by ETESA (Empresa de Transmisión Eléctrica, S.A.), ACP (Autoridad del Canal de Panamá) y STRI (Smithsonian Tropical Research Institute). The application allows you to perform multiple practical functions with the map, among which we can mention: Measure distances and areas in many units Draw objects or annotations on the map for reference Convert geographic locations between multiple formats Select, view and download River and stream data Add your own local data (KML files) or from ArcGIS Online Change main basemap Many more functions...The GIS Lab tried to include all the MET Stations available, but we can't assure all of them are available, or even some of the MET stations name are correct. The content is provided on an “AS IS” and “AS AVAILABLE” basis without warranty of any kind, either express or implied, including but not limited to the implied warranties of use, copyright ownership and/or non-infringement or other third-party proprietary rights. See our Terms of Use.If you have suggestions for improvement or found any bugs in the app, please let us know via the Administrator email.

*This dataset is authored by the Washington Department of Natural Resources and is being shared as a direct link by Pend Oreille County. This is a primary reference soils dataset used by our organization for building, planning, and permitting purposes.This data can be used for determining a variety of soils information that was derived from the Private Forest Land Grading system and subsequent soil surveys. See Description and Metadata for more information.For large areas, like Washington State, download as a file geodatabase. Large data sets like this one, for the State of Washington, may exceed the limits for downloading as shape files, excel files, or KML files. For areas less than a county, you may use the map to zoom to your area and download as shape file, excel or KML, if that format is desired.Information for SOILS data layer was derived from the Private Forest Land Grading system (PFLG) and subsequent soil surveys. PFLG was a five-year mapping program completed in 1980 for the purpose of forestland taxation. It was funded by the Washington State Department of Revenue. The Department of Natural Resources, Soil Conservation Service (now known as the Natural Resources Conservation Service or NRCS), USDA Forest Service and Washington State University conducted soil mapping cooperatively following national soil survey standards. Private lands having the potential of supporting commercial forests were surveyed along with interspersed small areas of State lands, Indian tribal lands, and federal lands. Because this was a cooperative soil survey project, agricultural and non-commercial forestlands were included within some survey areas. After the Department of Natural Resources originally developed its geographic information system, digitized soil map unit delineations and a few soil attributes were transferred to the system. Remaining PFLG soil attributes were later added and are now available through associated lookup tables. SCS (NRCS) soils data on agricultural lands also have been subsequently added to this data layer. The SOILS data layer includes approximately 1,100 townships with wholly or partially digitized soils data. State and private lands which have the potential of supporting commercial forest stands were surveyed. Some Indian tribal and federal lands were surveyed. Because this was a cooperative soils survey project, agricultural and non-commercial forestlands were also included within some survey areas. After the Department of Natural Resources originally developed its geographic information system, digitized soils delineations and a few soil attributes were transferred to the system. Remaining PFLG soil attributes were added at a later time and are now available through associated lookup tables. SCS soils data on agricultural lands also have subsequently been added to this data layer. This layer includes approximately 1, 100 townships with wholly or partially digitized soils data (2,101 townships would provide complete coverage of the state of Washington).- The soils_sv resolves one to many relationships and as such is one of those special "DNR" spatial views ( ie. is implemented similar to a feature class). Column names may not match between SOILS_SV and the originating datasets. Use limitations This Spatial View is available to Washingotn DNR users and those with access to the Washington State Uplands IMS site. The following cautions only apply to one-to-many and many-to-many spatial views! Use these in the metadata only if the SV is one-to-many or many-to-many. CAUTIONS: Area and Length Calculations: Use care when summarizing or totaling area or length calculations from spatial views with one-to-many or many-to-many relationships. One-to-many or many-to-many relationships between tabular and spatial data create multiple features in the same geometry. In other words, if there are two or more records in the table that correspond to the same feature (a single polygon, line or point), the spatial view will contain an identical copy of that feature's geometry for every corresponding record in the table. Area and length calculations should be performed carefully, to ensure they are not being exaggerated by including copies of the same feature's geometry. Symbolizing Spatial Features: Use care when symbolizing data in one-to-many or many-to-many spatial views. If there are multiple attributes tied to the same feature, symbolizing with a solid fill may mask other important features within the spatial view. This can be most commonly seen when symbolizing features based on a field with multiple table records. Labeling Spatial Features: Spatial views with one-to-many or many-to-many relationships may present duplicate labels for those features with multiple table records. This is because there are multiple features in the same geometry, and each one receives a label.Soils Metadata

This layer presents the Universal Transverse Mercator (UTM) zones of the world. The layer symbolizes the 6-degree wide zones employed for UTM projection.To download the data for this layer as a layer package for use in ArcGIS desktop applications, refer to World UTM Zones Grid.

This map displays an ArcGIS image service layer containing a set of monthly global day-night sea surface temperature averages, derived from the AVHRR Pathfinder Version 5 sea surface temperature cloud screened data set (https://www.ncei.noaa.gov/products/avhrr-pathfinder-sst).The time slider can be used to animate or view individual images. For best results, drag the right side of the slider towards the left, so that a single date is shown at a time.Information about the underlying image service can be viewed here.The AVHRR Pathfinder SST data sets provide the longest, most accurate, and highest resolution consistently-reprocessed SST climate data record from the AVHRR sensor series. These data files were produced to facilitate the utilization of high resolution Pathfinder v5.0 sea surface temperature data within geographic information system (GIS) software. These day-night combined monthly and yearly means were produced from cloud-screened day-night monthly full resolution files of Pathfinder SST data from 1985-2009. The data are available for download at https://www.ncei.noaa.gov/access/metadata/landing-page/bin/iso?id=gov.noaa.nodc:0077816. The original .HDF files are archived at the National Centers for Environmental Information under separate accession numbers. The GeoTIFF SST averages were assigned projection GCS_WGS_1984. In addition, browse images in PNG format with an associated KML file for each year are included with these data as well as detailed metadata.Sea surface temperatures are represented using this color scale:

Vector polygon map data of property parcels from Tulare County, California containing 159,913 features.

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Property parcel GIS map data consists of detailed information about individual land parcels, including their boundaries, ownership details, and geographic coordinates.

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Property parcel data can be used to analyze and visualize land-related information for purposes such as real estate assessment, urban planning, or environmental management.

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Available for viewing and sharing as a map in a Koordinates map viewer. This data is also available for export to DWG for CAD, PDF, KML, CSV, and GIS data formats, including Shapefile, MapInfo, and Geodatabase.

For large areas, like Washington State, download as a file geodatabase. Large data sets like this one, for the State of Washington, may exceed the limits for downloading as shape files, excel files, or KML files. For areas less than a county, you may use the map to zoom to your area and download as shape file, excel or KML, if that format is desired.Information for SOILS data layer was derived from the Private Forest Land Grading system (PFLG) and subsequent soil surveys. PFLG was a five-year mapping program completed in 1980 for the purpose of forestland taxation. It was funded by the Washington State Department of Revenue. The Department of Natural Resources, Soil Conservation Service (now known as the Natural Resources Conservation Service or NRCS), USDA Forest Service and Washington State University conducted soil mapping cooperatively following national soil survey standards. Private lands having the potential of supporting commercial forests were surveyed along with interspersed small areas of State lands, Indian tribal lands, and federal lands. Because this was a cooperative soil survey project, agricultural and non-commercial forestlands were included within some survey areas. After the Department of Natural Resources originally developed its geographic information system, digitized soil map unit delineations and a few soil attributes were transferred to the system. Remaining PFLG soil attributes were later added and are now available through associated lookup tables. SCS (NRCS) soils data on agricultural lands also have been subsequently added to this data layer. The SOILS data layer includes approximately 1,100 townships with wholly or partially digitized soils data. State and private lands which have the potential of supporting commercial forest stands were surveyed. Some Indian tribal and federal lands were surveyed. Because this was a cooperative soils survey project, agricultural and non-commercial forestlands were also included within some survey areas. After the Department of Natural Resources originally developed its geographic information system, digitized soils delineations and a few soil attributes were transferred to the system. Remaining PFLG soil attributes were added at a later time and are now available through associated lookup tables. SCS soils data on agricultural lands also have subsequently been added to this data layer. This layer includes approximately 1, 100 townships with wholly or partially digitized soils data (2,101 townships would provide complete coverage of the state of Washington).-

The soils_sv resolves one to many relationships and as such is one of those special "DNR" spatial views ( ie. is implemented similar to a feature class). Column names may not match between SOILS_SV and the originating datasets. Use limitations

This Spatial View is available to Washingotn DNR users and those with access to the Washington State Uplands IMS site.

The following cautions only apply to one-to-many and many-to-many spatial views! Use these in the metadata only if the SV is one-to-many or many-to-many.

CAUTIONS: Area and Length Calculations: Use care when summarizing or totaling area or length calculations from spatial views with one-to-many or many-to-many relationships. One-to-many or many-to-many relationships between tabular and spatial data create multiple features in the same geometry. In other words, if there are two or more records in the table that correspond to the same feature (a single polygon, line or point), the spatial view will contain an identical copy of that feature's geometry for every corresponding record in the table. Area and length calculations should be performed carefully, to ensure they are not being exaggerated by including copies of the same feature's geometry.

Symbolizing Spatial Features:
Use care when symbolizing data in one-to-many or many-to-many spatial views. If there are multiple attributes tied to the same feature, symbolizing with a solid fill may mask other important features within the spatial view. This can be most commonly seen when symbolizing features based on a field with multiple table records.

Labeling Spatial Features: Spatial views with one-to-many or many-to-many relationships may present duplicate labels for those features with multiple table records. This is because there are multiple features in the same geometry, and each one receives a label.Soils Metadata

U.S. Census BlocksThis feature layer, utilizing National Geospatial Data Asset (NGDA) data from the U.S. Census Bureau (USCB), displays Census Blocks in the United States. A brief description of Census Blocks, per USCB, is that "Census blocks are statistical areas bounded by visible features such as roads, streams, and railroad tracks, and by nonvisible boundaries such as property lines, city, township, school district, county limits and short line-of-sight extensions of roads." Also, "the smallest level of geography you can get basic demographic data for, such as total population by age, sex, and race."Census Block 1007Data currency: This cached Esri federal service is checked weekly for updates from its enterprise federal source (Census Blocks) and will support mapping, analysis, data exports and OGC API – Feature access.NGDAID: 69 (Series Information for 2020 Census Block State-based TIGER/Line Shapefiles, Current)OGC API Features Link: (U.S. Census Blocks - OGC Features) copy this link to embed it in OGC Compliant viewersFor more information, please visit: What are census blocksFor feedback please contact: Esri_US_Federal_Data@esri.comNGDA Data SetThis data set is part of the NGDA Governmental Units, and Administrative and Statistical Boundaries Theme Community. Per the Federal Geospatial Data Committee (FGDC), this theme is defined as the "boundaries that delineate geographic areas for uses such as governance and the general provision of services (e.g., states, American Indian reservations, counties, cities, towns, etc.), administration and/or for a specific purpose (e.g., congressional districts, school districts, fire districts, Alaska Native Regional Corporations, etc.), and/or provision of statistical data (census tracts, census blocks, metropolitan and micropolitan statistical areas, etc.). Boundaries for these various types of geographic areas are either defined through a documented legal description or through criteria and guidelines. Other boundaries may include international limits, those of federal land ownership, the extent of administrative regions for various federal agencies, as well as the jurisdictional offshore limits of U.S. sovereignty. Boundaries associated solely with natural resources and/or cultural entities are excluded from this theme and are included in the appropriate subject themes."For other NGDA Content: Esri Federal Datasets