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 dataset is a compilation of county parcel data from Minnesota counties that have opted-in for their parcel data to be included in this dataset.

It includes the following 55 counties that have opted-in as of the publication date of this dataset: Aitkin, Anoka, Becker, Benton, Big Stone, Carlton, Carver, Cass, Chippewa, Chisago, Clay, Clearwater, Cook, Crow Wing, Dakota, Douglas, Fillmore, Grant, Hennepin, Houston, Isanti, Itasca, Jackson, Koochiching, Lac qui Parle, Lake, Lyon, Marshall, McLeod, Mille Lacs, Morrison, Mower, Murray, Norman, Olmsted, Otter Tail, Pennington, Pipestone, Polk, Pope, Ramsey, Renville, Rice, Saint Louis, Scott, Sherburne, Stearns, Stevens, Traverse, Waseca, Washington, Wilkin, Winona, Wright, and Yellow Medicine.

If you represent a county not included in this dataset and would like to opt-in, please contact Heather Albrecht (Heather.Albrecht@hennepin.us), co-chair of the Minnesota Geospatial Advisory Council (GAC)’s Parcels and Land Records Committee's Open Data Subcommittee. County parcel data does not need to be in the GAC parcel data standard to be included. MnGeo will map the county fields to the GAC standard.

County parcel data records have been assembled into a single dataset with a common coordinate system (UTM Zone 15) and common attribute schema. The county parcel data attributes have been mapped to the GAC parcel data standard for Minnesota: https://www.mngeo.state.mn.us/committee/standards/parcel_attrib/parcel_attrib.html

This compiled parcel dataset was created using Python code developed by Minnesota state agency GIS professionals, and represents a best effort to map individual county source file attributes into the common attribute schema of the GAC parcel data standard. The attributes from counties are mapped to the most appropriate destination column. In some cases, the county source files included attributes that were not mapped to the GAC standard. Additionally, some county attribute fields were parsed and mapped to multiple GAC standard fields, such as a single line address. Each quarter, MnGeo provides a text file to counties that shows how county fields are mapped to the GAC standard. Additionally, this text file shows the fields that are not mapped to the standard and those that are parsed. If a county shares changes to how their data should be mapped, MnGeo updates the compilation. If you represent a county and would like to update how MnGeo is mapping your county attribute fields to this compiled dataset, please contact us.

This dataset is a snapshot of parcel data, and the source date of the county data may vary. Users should consult County websites to see the most up-to-date and complete parcel data.

There have been recent changes in date/time fields, and their processing, introduced by our software vendor. In some cases, this has resulted in date fields being empty. We are aware of the issue and are working to correct it for future parcel data releases.

The State of Minnesota makes no representation or warranties, express or implied, with respect to the use or reuse of data provided herewith, regardless of its format or the means of its transmission. THE DATA IS PROVIDED “AS IS” WITH NO GUARANTEE OR REPRESENTATION ABOUT THE ACCURACY, CURRENCY, SUITABILITY, PERFORMANCE, MECHANTABILITY, RELIABILITY OR FITINESS OF THIS DATA FOR ANY PARTICULAR PURPOSE. This dataset is NOT suitable for accurate boundary determination. Contact a licensed land surveyor if you have questions about boundary determinations.

DOWNLOAD NOTES: This dataset is only provided in Esri File Geodatabase and OGC GeoPackage formats. A shapefile is not available because the size of the dataset exceeds the limit for that format. The distribution version of the fgdb is compressed to help reduce the data footprint. QGIS users should consider using the Geopackage format for better results.

This dataset is the most current occurrence data.This dataset contains occurrences reported to York Regional Police since the beginning of 2024. It includes a variety of UCRs (Uniform Crime Reports) processed by York Regional Police.Please refer to the historical occurrences in the Historical Community Safety Data dataset to access data prior to 2024. You can choose a specific year from the filter within the open data download portal to extract yearly datasets.This data is provided in Spatial Reference: 26917. This is a UTM spatial reference. Please review the metadata for additional field attribute information. For any questions regarding this data please contact businessIntelligence@yrp.caThis data layer is shared with the York Regional Police Open Data Portal and is available to the public for download. Downloading and using this data implies agreement to the terms of use listed under the Open Data Portal Disclaimer and Terms of Use.

Contour lines covering Peel Region and a 1 kilometre buffer outside of the Region's boundary.

Contour information is a valuable tool for both map display (cartographic) and scientific and resource management applications. Some applications may include hydrologic modelling, resource monitoring and landscape visualization, and change measurement.

Specifications

Capture year: Spring 2021 Horizontal projection (original dataset): NAD 1983 UTM Zone 17N (EPSG: 26917). Note: ArcGIS Online provides download files in the Web Mercator projection. Vertical projection: CGVD 1928 (EPSG: 5713) Horizontal accuracy: ±50 centimetres Vertical accuracy: ±50 centimetres Method of creation: photogrammetric

Other notes

This is a large dataset in both file size and number of features. Please be patient with downloading and filtering the data.

The contour dataset is updated yearly and is released to Open Data approximately one year after orthoimagery photo flights take place. The data is created and updated through photogrammetry by the vendor based on the latest imagery capture.

The High Resolution Digital Elevation Model (HRDEM) product is derived from airborne LiDAR data (mainly in the south) and satellite images in the north. The complete coverage of the Canadian territory is gradually being established. It includes a Digital Terrain Model (DTM), a Digital Surface Model (DSM) and other derived data. For DTM datasets, derived data available are slope, aspect, shaded relief, color relief and color shaded relief maps and for DSM datasets, derived data available are shaded relief, color relief and color shaded relief maps. The productive forest line is used to separate the northern and the southern parts of the country. This line is approximate and may change based on requirements. In the southern part of the country (south of the productive forest line), DTM and DSM datasets are generated from airborne LiDAR data. They are offered at a 1 m or 2 m resolution and projected to the UTM NAD83 (CSRS) coordinate system and the corresponding zones. The datasets at a 1 m resolution cover an area of 10 km x 10 km while datasets at a 2 m resolution cover an area of 20 km by 20 km. In the northern part of the country (north of the productive forest line), due to the low density of vegetation and infrastructure, only DSM datasets are generally generated. Most of these datasets have optical digital images as their source data. They are generated at a 2 m resolution using the Polar Stereographic North coordinate system referenced to WGS84 horizontal datum or UTM NAD83 (CSRS) coordinate system. Each dataset covers an area of 50 km by 50 km. For some locations in the north, DSM and DTM datasets can also be generated from airborne LiDAR data. In this case, these products will be generated with the same specifications as those generated from airborne LiDAR in the southern part of the country. The HRDEM product is referenced to the Canadian Geodetic Vertical Datum of 2013 (CGVD2013), which is now the reference standard for heights across Canada. Source data for HRDEM datasets is acquired through multiple projects with different partners. Since data is being acquired by project, there is no integration or edgematching done between projects. The tiles are aligned within each project. The product High Resolution Digital Elevation Model (HRDEM) is part of the CanElevation Series created in support to the National Elevation Data Strategy implemented by NRCan. Collaboration is a key factor to the success of the National Elevation Data Strategy. Refer to the “Supporting Document” section to access the list of the different partners including links to their respective data.

The dataset is a 10 m-resolution DEM in grid format covering the whole Italian territory. The DEM is encoded as “ESRI ASCII Raster” obtained by interpolating the original DEM in Triangular Irregular Network (TIN) format. The TIN version benefited from the systematic application of the DEST algorithm. The projection is UTM, the World Geodetic System 1984 (WGS 84). To provide the dataset as a single seamless DEM, the sole zone 32 N was selected, although about half of Italy belongs to zone 33 N. The database is arranged in 193 square tiles having 50 km side. Data e Risorse Questo dataset non ha dati ambiente terremoti vulcani

[Metadata] Agricultural Land Use (2015). Source: The University of Hawaii at Hilo Spatial Data Analysis and Visualization (SDAV) Laboratory in conjunction with the Hawaii State Department of Agriculture, 2015. The 2015 Hawaii Statewide Agricultural Land Use Baseline layer was created to provide a snapshot of contemporary commercial agricultural land use activity in Hawaii. It is based upon an assemblage of geospatial datasets, primarily high-resolution WorldView-2 satellite imagery (2011-2013) used as a base layer for digitization. Additional datasets used in this work include GIS layers (‘Agriculture and Farming’, ‘Inland Water Resources’, and ‘Cadastral and Land Descriptions’) provided by the state of Hawaii, Office of Planning Statewide GIS Program and other data provided by major land owners and managers. Digitized crop locations and boundaries were verified through a combination of on-the-ground site visits, meetings and presentations of draft layers with agricultural stakeholders and landowners, solicitations through a publicly accessible online web mapping portal, and spot-checking using Google Earth™ and other high resolution imagery sources. In addition to the satellite imagery, County Real Property Tax and Agricultural Water Use data were also used to identify commercial farm operations. Data for both real property tax assessment and agricultural water use were collected from each county that provided their most recent records, generally from 2014-2015. Not all properties that receive County agricultural tax assessment rates or reduced water cost for agricultural uses were mapped due to the small scale of some of their operations. These data sources were used to verify mapped commercial farms and identify operations that might have been missed using the imagery alone. The 2015 Hawaii Statewide Agricultural Land Use Baseline layer represents our best efforts to capture the scale and diversity of commercial agricultural activity in Hawaii in 2015 and should be used for informational purposes only.Note: April 2022: Several users of the data discovered that the original 2015 Hawaii Statewide Agricultural Land Use Baseline layer and the 2020 update to the Hawaii Statewide Agricultural Land Use Baseline layer did not overlay properly, with an offset between the layers of 10 feet to 40 feet, depending on the area. As a result, both the original and the updated layers have been republished, and now overlay as they should. The underlying data itself has not changed.Please note - if you download the data from the State's geoportal (https://geoportal.hawaii.gov/), the data is exported in WGS84 coordinates, although it is stored internally (in the State's geodatabase), served in the State's web services (https://geodata.hawaii.gov/arcgis/rest/services), and made available in the State's legacy download site (https://planning.hawaii.gov/gis/download-gis-data-expanded/) in UTM/NAD 83 HARN coordinates.For additional information, please refer to complete metadata at https://files.hawaii.gov/dbedt/op/gis/data/aglanduse_2015.pdf or contact Hawaii Statewide GIS Program, Office of Planning and Sustainable Development, State of Hawaii; PO Box 2359, Honolulu, HI 96804; (808) 587-2846; email: gis@hawaii.gov; Website: https://planning.hawaii.gov/gis.

[Metadata] 2022 Hawaii State Senate District Boundaries as adopted by the State of Hawaii Reapportionment Commission in 2022. Source: Hawaii State Office of Elections, March 2022.Please note - if you download the data from the State's geoportal (https://geoportal.hawaii.gov/), the data is exported in WGS84 coordinates, although it is stored internally (in the State's geodatabase), served in the State's web services (https://geodata.hawaii.gov/arcgis/rest/services), and made available in the State's legacy download site (https://planning.hawaii.gov/gis/download-gis-data-expanded/) in UTM/NAD 83 HARN coordinates.For additional information, please refer to metadata at https://files.hawaii.gov/dbedt/op/gis/data/senate22.pdf or contact Hawaii Statewide GIS Program, Office of Planning and Sustainable Development, State of Hawaii; PO Box 2359, Honolulu, Hi. 96804; (808) 587-2846; email: gis@hawaii.gov; Website: https://planning.hawaii.gov/gis.

[Metadata] Agricultural Land Use (2020). Source: The University of Hawaii at Hilo Spatial Data Analysis and Visualization (SDAV) Laboratory in conjunction with the Hawaii State Department of Agriculture, 2021. Updated February 2022.The 2020 Update to the Hawaiʻi Statewide Agricultural Land Use Baseline layer was created to provide a snapshot of contemporary commercial agricultural land use activity in Hawaiʻi. It is based upon an assemblage of geospatial datasets, primarily high-resolution WorldView-2 and WorldView-3 satellite imagery (2018 – 2020) used as a base layer for digitization. Additional datasets used in this work include GIS layers provided by the state of Hawaiʻi, Office of Planning Statewide GIS Program and other data provided by major land owners and managers. County Real Property Tax and Agricultural Water Use data were also used to identify commercial farm operations. Not all properties that receive County agricultural tax assessment rates or reduced water cost for agricultural uses were mapped due to the small scale of some of their operations. These data sources were used to verify mapped commercial farms and identify operations that might have been missed using the imagery alone. Digitized crop locations and boundaries were verified through a combination of on-the-ground site visits, meetings and presentations of draft layers with agricultural stakeholders and landowners, solicitations through a publicly accessible online web mapping portal, and spot- checking using Google Earth™ and other high resolution imagery sources. The 2020 Update to the Hawaiʻi Statewide Agricultural Land Use Baseline layer represents our best efforts to capture the scale and diversity of commercial agricultural activity in Hawaiʻi in 2020 and should be used for informational purposes only. Note: February 2022: Maui County added, Several additional minor updates have been made to the original 2020 Update to the Hawaii Statewide Agricultural Land Use Baseline that was published in May 2021. Note: April 2022: Several users of the data discovered that the original 2015 Hawaiʻi Statewide Agricultural Land Use Baseline layer and the 2020 Update to the Hawaiʻi Statewide Agricultural Land Use Baseline layer did not overlay properly, with an offset between the layers of 10 feet to 40 feet, depending on the area. As a result, both the original and the updated layers have been republished, and now overlay as they should. The underlying data itself has not changed. Please note - if you download data from the State's geoportal (https://geoportal.hawaii.gov/), the data is exported in WGS84 coordinates, although it is stored internally (in the State’s geodatabase), served in the State's web services (https://geodata.hawaii.gov/arcgis/rest/services) and made available in the State's legacy download site (https://planning.hawaii.gov/gis/download-gis-data-expanded/) in UTM / NAD 83 HARN coordinates. For additional information, please refer to complete metadata at https://files.hawaii.gov/dbedt/op/gis/data/aglanduse_2020.pdf or contact Hawaii Statewide GIS Program, Office of Planning and Sustainable Development, State of Hawaii; PO Box 2359, Honolulu, Hi. 96804; (808) 587-2846; email: gis@hawaii.gov; Website: https://planning.hawaii.gov/gis.

[Metadata] 2022 Hawaii State House of Representatives District Boundaries as adopted by the State of Hawaii Reapportionment Commission in 2022. Source: Hawaii State Office of Elections, March 2022.Please note - if you download the data from the State's geoportal (https://geoportal.hawaii.gov/), the data is exported in WGS84 coordinates, although it is stored internally (in the State's geodatabase), served in the State's web services (https://geodata.hawaii.gov/arcgis/rest/services), and made available in the State's legacy download site (https://planning.hawaii.gov/gis/download-gis-data-expanded/) in UTM/NAD 83 HARN coordinates.For additional information, please refer to metadata at https://files.hawaii.gov/dbedt/op/gis/data/house22.pdf or contact Hawaii Statewide GIS Program, Office of Planning and Sustainable Development, State of Hawaii; PO Box 2359, Honolulu, Hi. 96804; (808) 587-2846; email: gis@hawaii.gov; Website: https://planning.hawaii.gov/gis.

This is a point feature layer dataset which includes road safety related occurrences reported to York Regional Police from 2024 to date. Refer to full list of all UCR included in this dataset. This data is provided in Spatial Reference: 26917. This is a UTM spatial reference. Please review the metadata for additional field attribute information. For any questions regarding this data please contact businessIntelligence@yrp.caThis data layer is shared with the York Regional Police Open Data Portal and is available to the public for download. Downloading and using this data implies agreement to the terms of use listed under the Open Data Portal Disclaimer and Terms of Use.