AndreaBozzo/ceres-open-data-index huggingface dataset:
Utah Soils

Utah Soils is a subset of the more comprehensive Natural Resources Conservation Service (NRCS) SSURGO database. The SSURGO database is a collection of 6 feature classes, one raster, 76 tables, and 69 relationship classes that represent over a century's worth of soil data collected by the National Cooperative Soil Survey. Utah Soils is a collection of the more widely used SSURGO soil attributes and SSURGO MUPOLYGON geometry to provide users an overview of Utah soils data without the complexity of the SSURGO database itself. Users are encouraged to explore the SSURGO database found [here] for a more detailed description of the soils of Utah. More information about NRCS and SSURGO can also be found [here.]
Utah Emergency Medical Services

Emergency medical services (EMS) locations in Utah. The EMS stations dataset consists of any location where EMS personnel are stationed, based or where equipment used by EMS personnel is stored for ready use. Ambulance services, including transportation only services are in this data. Ambulance services located at, and operated by, a hospital are excluded. Independent ambulance service or EMS provider that are collocated with a hospital are included. The dataset includes both private and governmental entities. This dataset is comprised completely of license free data. Records with "-DOD" appended to the end of the [NAME] value are located on a military base, as defined by the Defense Installation Spatial Data Infrastructure (DISDI) military installations and military range boundaries.
Utah Health Small Statistical Areas 2017

The "Utah 64 Small Health Statistics Areas" feature layer was developed by the Office of Public Health Assessment, Utah Department of Health using small area analysis methodology in 1997. Each feature was generated by combining a sufficient number of adjacent ZIP code area features to form a geographic area of approximately 33,500 persons (range 15,000 to 62,500). Criteria used for determining which ZIP code areas to combine together to form a Small Health Statistics Area included population size, local health district and county boundaries, similarity of ZIP code population's income level and community political boundaries. Input from local community representatives was used to refine area designations. The Utah 64 Small Health Statistics Areas provide a means of geographically analyzing and presenting health statistics at the community level. Producing information at the small area in Utah provides community planners and other with information that is specific to the populations living in their communities of concern. Small area analysis also allows an investigator to explore ecologic relationships between health status, lifestyle, the environment and the health system. In areas where a ZIP code crosses a county boundary, the 2008 and 2009 versions of Small Statistical Areas honor the ZIP code boundary leading to cases where a Small Statistical Areas can be in multiple counties. The 2012 and 2014 versions correct this issue by splitting ZIP code areas by county boundaries resulting in Small Statistical Areas that can only be found in one county. In the 2017 version, area 57 Grand/San Juan Counties was split into 2 areas, area 57.1 Grand county and 57.2 San Juan County.
Utah Health Small Statistical Areas 2018

The "Utah Small Health Statistics Areas" feature layer was developed by the Office of Public Health Assessment, Utah Department of Health using the Utah Local Health District and Small Area Designation Algorithm (see https://ibis.health.utah.gov/pdf/resource/Algorithm.pdf). Small Areas are defined based on ZIP Codes, population size, local health district and county boundaries, similarity of ZIP Code area income levels, community political boundaries, and input from local community representatives.
Utah Health Small Statistical Areas 2020

The "Utah Small Health Statistics Areas" feature layer was developed by the Office of Public Health Assessment, Utah Department of Health using the Utah Local Health District and Small Area Designation Algorithm (see https://ibis.health.utah.gov/pdf/resource/Algorithm.pdf). Small Areas are defined based on ZIP Codes, population size, local health district and county boundaries, similarity of ZIP Code area income levels, community political boundaries, and input from local community representatives.
Utah Historic Districts

Polygon locations of historic districts listed on the National Register of Historic Places found in Utah. The data includes all National Register Historic Districts listed since 1966, and is updated as new districts are added. Note that properties listed individually on the National Register of Historic Places are not included as part of this dataset. Data was derived by Utah Division of State History staff from physical maps and property descriptions that are part of the National Register Nominations prepared for each district and on file at the Utah State Historic Preservation Office.
Utah Monuments and Markers

This dataset enables historians, researchers, and citizens to access the name, location, text, photos, and other information about markers located throughout Utah. A marker contains the text and may be a bronze, aluminum, or wood plaque. The monument holds the marker and, in most cases, is a freestanding structure made of wood, stone, or brick. In cases where the marker is inscribed directly on the monument, then the marker and the monument are the same.
Utah H3 Hexes Level 5

The [H3 indexing system] provides a standardized and high-performance grid for aggregating data at various levels. This layer contains the spatial representation of the IDs that cover the state of Utah. While it can be used for normal GIS point-in-polygon operations, you will get much better performance using the H3 API to assign a hex ID to your points, aggregating/analyzing your points based on ID, and then joining your aggregated data to this layer on the hex IDs. Our [H3 blog post] provides an overview of the system, an explanation of how we created these geometries, and an example analysis. Once the geometries were created in EPSG 4326 (WGS 84 lon/lat), they were projected to EPSG 26912 (UTM 12N) using the NAD_1983_To_WGS_1984_5 transformation.
Utah H3 Hexes Level 6

The [H3 indexing system] provides a standardized and high-performance grid for aggregating data at various levels. This layer contains the spatial representation of the IDs that cover the state of Utah. While it can be used for normal GIS point-in-polygon operations, you will get much better performance using the H3 API to assign a hex ID to your points, aggregating/analyzing your points based on ID, and then joining your aggregated data to this layer on the hex IDs. Our [H3 blog post] provides an overview of the system, an explanation of how we created these geometries, and an example analysis. Once the geometries were created in EPSG 4326 (WGS 84 lon/lat), they were projected to EPSG 26912 (UTM 12N) using the NAD_1983_To_WGS_1984_5 transformation.
Utah H3 Hexes Level 7

The [H3 indexing system] provides a standardized and high-performance grid for aggregating data at various levels. This layer contains the spatial representation of the IDs that cover the state of Utah. While it can be used for normal GIS point-in-polygon operations, you will get much better performance using the H3 API to assign a hex ID to your points, aggregating/analyzing your points based on ID, and then joining your aggregated data to this layer on the hex IDs. Our [H3 blog post] provides an overview of the system, an explanation of how we created these geometries, and an example analysis. Once the geometries were created in EPSG 4326 (WGS 84 lon/lat), they were projected to EPSG 26912 (UTM 12N) using the NAD_1983_To_WGS_1984_5 transformation.
Utah H3 Hexes Level 8

The [H3 indexing system] provides a standardized and high-performance grid for aggregating data at various levels. This layer contains the spatial representation of the IDs that cover the state of Utah. While it can be used for normal GIS point-in-polygon operations, you will get much better performance using the H3 API to assign a hex ID to your points, aggregating/analyzing your points based on ID, and then joining your aggregated data to this layer on the hex IDs. Our [H3 blog post] provides an overview of the system, an explanation of how we created these geometries, and an example analysis. Once the geometries were created in EPSG 4326 (WGS 84 lon/lat), they were projected to EPSG 26912 (UTM 12N) using the NAD_1983_To_WGS_1984_5 transformation.
Utah H3 Hexes Level 9

The [H3 indexing system] provides a standardized and high-performance grid for aggregating data at various levels. This layer contains the spatial representation of the IDs that cover the state of Utah. While it can be used for normal GIS point-in-polygon operations, you will get much better performance using the H3 API to assign a hex ID to your points, aggregating/analyzing your points based on ID, and then joining your aggregated data to this layer on the hex IDs. Our [H3 blog post] provides an overview of the system, an explanation of how we created these geometries, and an example analysis. Once the geometries were created in EPSG 4326 (WGS 84 lon/lat), they were projected to EPSG 26912 (UTM 12N) using the NAD_1983_To_WGS_1984_5 transformation.
Utah Address Points

The Address Points dataset shows Utah address points for all twenty-nine Utah counties. An address point represents a geographic location that has been assigned a US Postal Service (USPS) address by the local address authority (i.e., county or municipality) but does not necessarily receive mail. Address points may include several pieces of information about the structure or location that’s being mapped, such as: * the full address (i.e., the USPS mailing address, if the address is for a physical location [rather than a PO box]); * the landmark name; * whether the location is a building; * the type of unit; * the city and ZIP code; * unique code identifiers of the specific geographic location, including the Federal Information Processing Standard Publication (FIPS) county code and the US National Grid (USNG) spatial address; * the address source; and * the date that the address point was loaded into the map layer. This dataset is mapping grade; it is a framework layer that receives regular updates. As with all our datasets, the Utah Geospatial Resource Center (UGRC) works to ensure the quality and accuracy of our data to the best of our abilities. Maintaining the dataset is now an ongoing effort between UGRC, counties, and municipalities. Specifically, UGRC works with each county or municipality’s Master Address List (MAL) authority to continually improve the address point data. Counties have been placed on an update schedule depending on the rate of new development and change within them. Populous counties, such as Weber, Davis, Salt Lake, Utah, and Washington, are more complete and are updated monthly, while rural or less populous counties may be updated quarterly or every six months. The information in the Address Points dataset was originally compiled by Utah counties and municipalities and was aggregated by UGRC for the MAL grant initiative in 2012. The purpose of this initiative was to make sure that all state entities were using the same verified, accurate county and municipal address information. Since 2012, more data has been added to the Address Points GIS data and is used for geocoding, 911 response, and analysis and planning purposes. The Address Point data is also used as reference data for the api.mapserv.utah.gov geocoding endpoint, and you can find the address points in many web mapping applications. This dataset is updated monthly and can also be found at: https://gis.utah.gov/data/location/address-data/.
Utah GNIS Place Names

This layer contains data from the Geographic Names Information System (GNIS) which was developed by the USGS in partnership with other government and interested organizations "to meet major national needs regarding geographic names and their standardization and dissemination". The data consist of point locations with corresponding feature names. All point entities are categorized by feature type. This data is representative of data from 2019 for mapping feature names and was last updated on 4/3/2019.
Utah Buildings

SGID.LOCATION.Buildings was derived from building footprints generated by Microsoft for all 50 States https://github.com/Microsoft/USBuildingFootprints In some cases the pixel prediction algorithm used by Microsoft identified and created building footprints where no buildings existed. To flag potential errors, building footprints within 750 meters of known populated areas (SGID.DEMOGRAPHIC.PopBlockAreas2010_Approx) and within 500 meters of an address point (SGID.LOCATION.AddressPoints) were selected and indentified as being a likely structure, footprints falling outside these areas were identified as possible buildings in the 'TYPE' field. Additional buildings were then added from OpenStreetMap data, when they were more than three meters from an already-existing building in the dataset. Finally, attributes were added for address, city, county, and ZIP code where possible.
Utah LUCA Block Address Counts 2017

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. Census Blocks are statistical areas bounded on all sides by visible features, such as streets, roads, streams, and railroad tracks, and/or by nonvisible boundaries such as city, town, township, and county limits, and short line-of-sight extensions of streets and roads. Census blocks are relatively small in area; for example, a block in a city bounded by streets. However, census blocks in remote areas are often large and irregular and may even be many square miles in area. A common misunderstanding is that data users think census blocks are used geographically to build all other census geographic areas, rather all other census geographic areas are updated and then used as the primary constraints, along with roads and water features, to delineate the tabulation blocks. As a result, all 2010 Census blocks nest within every other 2010 Census geographic area, so that Census Bureau statistical data can be tabulated at the block level and aggregated up to the appropriate geographic areas. Census blocks cover all territory in the United States, Puerto Rico, and the Island Areas (American Samoa, Guam, the Commonwealth of the Northern Mariana Islands, and the U.S. Virgin Islands). Blocks are the smallest geographic areas for which the Census Bureau publishes data from the decennial census. A block may consist of one or more faces.
Utah Primitive Prop Emery County

This data set represents the areas proposed by Emery County, Utah for designation as Primitive Area with the 1995 State Trust lands excluded. This proposal was made as part of the formulation process for the Utah U. S. Congressional delegation's Wilderness Proposal (HR1745). The automated data from Emery County were updated with the State of Utah Trust Lands delineated, as they existed in 1995 (QU100.aolsa).
Utah Public Lands Initiative HR5780 Areas BLM 2016

The Public Lands Initiative (PLI) is a locally-driven effort to bring resolution and certainty to some of the most challenging land disputes in Utah. The initiative is rooted in the belief that conservation and economic development can coexist and make Utah a better place to live, work, and visit. The PLI discussion draft is the result of: 13 different drafts by Reps. Rob Bishop and Jason Chaffetz The participation of over 120 different stakeholder organizations More than 65 proposals from groups outlining their vision for public land management in Eastern Utah More than 4 dozen on-the-ground field trips carried out by the delegation Numerous public meetings in rural Utah discussing the initiative Visit www.UtahPLI.com for detailed information.
Utah Public Lands Initiative HR5780 Lines BLM 2016

The Public Lands Initiative (PLI) is a locally-driven effort to bring resolution and certainty to some of the most challenging land disputes in Utah. The initiative is rooted in the belief that conservation and economic development can coexist and make Utah a better place to live, work, and visit. The PLI discussion draft is the result of: 13 different drafts by Reps. Rob Bishop and Jason Chaffetz The participation of over 120 different stakeholder organizations More than 65 proposals from groups outlining their vision for public land management in Eastern Utah More than 4 dozen on-the-ground field trips carried out by the delegation Numerous public meetings in rural Utah discussing the initiative Visit www.UtahPLI.com for detailed information.
Utah Semi Primitive Prop Emery County

This data set represents the areas proposed by Emery County, Utah for designation as Semi-Primitive Areas with the 1995 State Trust Lands excluded. This proposal was made as part of the formulation process for the Utah U. S. Congressional delegation's Wilderness Proposal (HR1745). The automated data from Emery County were updated with the State of Utah Trust Lands delineated, as they existed in 1995 (QU100.aolsa).
Utah Wilderness Proposal HR1500

This dataset represents areas proposed for Wilderness designation by former Utah representative Wayne Owens in U.S. House of Representatives Bill HR1500 (1991). It was commonly referred to as the 5.7 million acres for wilderness. Rep. Owens' staff created this data set by directing the University of Utah, Geography Department DIGIT Lab in modification of the Utah Wilderness Coalition Proposed Wilderness boundaries received digitally from the Wilderness Society. The UWC boundaries were published in Wilderness at the Edge (1990).
Utah Wilderness Proposal NineCo 1995

This dataset represents proposed wilderness on BLM administered lands by the nine Utah counties which developed a proposal, with the 1995 State Trust Lands excluded. Each county independently defined areas for recommendation. Emery and San Juan counties also defined and proposed areas for non-wilderness protection. The source materials were at various scales and accuracies. The data were updated by AGRC with the Utah Trust Lands as they existed in 1995
Utah Wilderness Proposal UWC 2008

Utah Wilderness Coalition's Citizens' Wilderness Proposal for BLM lands in Utah updated in 2008. All proposed lands and human impacts were visited by staff and volunteers and documented on 1:24000 USGS quadrangles through field checking of each area by land or by aerial photo. This coverage shows all lands in the legislative proposal and lands that have wilderness quality but are not yet a part of the legislative proposal, America's Red Rock Wilderness Act. Note: To display this coverage make certain that those routes that are excluded from the wilderness proposal are displayed on top of the polygons. To do this, make certain to load the polygon and arc components of this coverage. Set polygon attribute uwc_prop = 1 to show those areas recommended in legislation for wilderness. Do not display the polygons labeled "0", these are OUT of the proposal. Set attribute uwc_prop = 2 for lands recommended by UWC for BLM wilderness designation that are not included in current legislation, uwc_prop = 3 for lands under consideration for addition to the proposal or in adjacent states, and uwc_prop = 4 for lands in field work review. uwc_prop = 5 is for lands that have been designed wilderness since 1998. Set the arc attribute prop_type to the same numbers.
Utah Housing Unit Inventory

The Housing Unit Inventory (HUI) is a derivative dataset that attempts to add information to the county assessor tax parcel data for Utah’s most urban counties. It is not a substitute for the excellent datasets maintained by the Assessors but, rather, presents additional, standardized information about the type and number of housing units, associated grounds and common areas, and related short-term and long-term trends. The HUI is a best-effort product of a resource-limited analysis -- users are encouraged to do their own quality assessment, share their findings, and cite this metadata describing how the HUI was produced.
Utah Vista Ballot Areas

In response to the Help America Vote Act (HAVA) passed in 2002, the Office of Elections in the Lieutenant Governor's, designed, developed and implemented a statewide database, the Utah Voter Information and State Tracking Application (VISTA) In 2011, the VISTA project began closely integrating county-level GIS mapping data representing the precinct and subprecinct boundaries that define the ballot areas for the state. This dataset is the digital map dataset that the VISTA project is actively using for their GIS integration. VISTA Precincts and Sub Precincts are tracked using a unique identifier of up to 10 characters to represent a specific balloting unit (wherein all voters in a specified precinct receive the same ballot). Precincts are identified using up to 6 characters; example: SJ001A or 007. Sub Precincts are identified using a 6 character precinct identifier, a “:” character, and up to 4 characters for the Sub Precinct identifier; example: SJ0003:SW2. Data was updated to reflect the newly created Political Districts for the next 10 years, Current as of 1/31/2022
Utah House Districts 2022 to 2032

Last update: February 3, 2022 (minor geometry cleanup: snapping, remove topology slivers, etc.) This dataset includes the political districts used for the Utah State Legislature. Utah House Districts 2022 to 2032 will be used for election purposes beginning January 1, 2022. Elected officials began representing these districts in January 2023. These boundaries supersede the State House Districts that were used in 2012-2021. Statewide Political District Boundaries are drawn by the Utah Legislature and adopted into state law as part of the decennial redistricting process that began in 2021. These districts represent the Utah House Districts, as per the Census Block Assignment file, enrolled with HB2005. For information and downloads on all political districts check UGRC data page https://gis.utah.gov/data/political/2022-2032-house-senate-congressional-districts/
Utah School Board Districts 2022 to 2032

Last update: February 3, 2022 (minor geometry cleanup: snapping, remove topology slivers, etc.) This data includes the political districts used for the Utah School Board. Utah’s School Board Districts 2022 to 2032 will be used for election purposes beginning January 1, 2022. Elected officials began representing these districts in January 2023. These boundaries supersede the State School Board Districts that were used in 2012-2021. School Board Members names were updated as needed after 2022 election. Statewide Political District Boundaries are drawn by the Utah Legislature and adopted into state law as part of the decennial redistricting process that began in 2021. These districts represent the Utah School Board Districts, as per the Census Block Assignment file, enrolled with SB2005. For information and downloads on all political districts check UGRC data page https://gis.utah.gov/data/political/2022-2032-house-senate-congressional-districts/