AndreaBozzo/ceres-open-data-index huggingface dataset:
2024 Cartographic Boundary File (KML), Secondary School District for Illinois, 1:500,000

The 2024 cartographic boundary KMLs are simplified representations of selected geographic areas from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). These boundary files are specifically designed for small-scale thematic mapping. When possible, generalization is performed with the intent to maintain the hierarchical relationships among geographies and to maintain the alignment of geographies within a file set for a given year. Geographic areas may not align with the same areas from another year. Some geographies are available as nation-based files while others are available only as state-based files.

School Districts are single-purpose administrative units within which local officials provide public educational services for the area's residents. The Census Bureau obtains the boundaries, names, local education agency codes, grade ranges, and school district levels for school districts from state officials for the primary purpose of providing the U.S. Department of Education with estimates of the number of children in poverty within each school district. This information serves as the basis for the Department of Education to determine the annual allocation of Title I funding to states and school districts.

The cartographic boundary files include separate files for elementary, secondary and unified school districts. The generalized school district boundaries in this file are based on those in effect for the 2023-2024 school year, i.e., in operation as of January 1, 2024.

Tags: 2024, cartographic boundary, generalized, il, illinois, kml, school district, secondary school district
Organization: U.S. Census Bureau, Department of Commerce
ODFW Fish Biologist Districts

<div style='text-align:Left;'><div><div><p><span>These boundaries represent areas where ODFW district fish biologists (and assistants) are directly involved in managing natural resources for the state of Oregon. Contact information for each district is provided in this dataset. Fish district boundaries are nested within ODFW's watershed district and region boundaries.</span></p></div></div></div>

Tags: boundaries-oregon-fish-wildlife-odfw
Organization: State of Oregon
2024 Cartographic Boundary File (KML), Tribal Census Tract for United States, 1:500,000

The 2024 cartographic boundary KMLs are simplified representations of selected geographic areas from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). These boundary files are specifically designed for small-scale thematic mapping. When possible, generalization is performed with the intent to maintain the hierarchical relationships among geographies and to maintain the alignment of geographies within a file set for a given year. Geographic areas may not align with the same areas from another year. Some geographies are available as nation-based files while others are available only as state-based files.

A tribal census tract is a relatively permanent statistical subdivision of a federally recognized American Indian reservation and/or off-reservation trust land, delineated by the American Indian tribal government and/or the Census Bureau for the purpose of presenting demographic data. For the 2010 Census and beyond, tribal census tracts are defined independently of the standard county-based census tract delineation. For federally recognized American Indian Tribes with reservations and/or off-reservation trust lands with a population less than 2,400, a single tribal census tract is defined. Qualifying areas with a population greater than 2,400 could define additional tribal census tracts within their area. The tribal census tract codes for the 2020 Census are six characters long with a leading "T" alphabetic character followed by a five-digit numeric code, for example, T01000, which translates as tribal census tract 10. Tribal block groups nest within tribal census tracts. Since individual tabulation blocks are defined within the standard State-county-census tract geographic hierarchy, a tribal census tract can contain seemingly duplicate block numbers, thus tribal census tracts cannot be used to uniquely identify census tabulation blocks for the 2020 Census. 

The generalized boundaries of tribal census tracts are based on those delineated through the Participant Statistical Areas Program (PSAP) for the 2020 Census.

Tags: 2024, cartographic boundary, generalized, kml, united states of america (the), us
Organization: U.S. Census Bureau, Department of Commerce
2024 Cartographic Boundary File (SHP), State Legislative District (SLD) Lower Chamber for Wyoming, 1:500,000

The 2024 cartographic boundary shapefiles are simplified representations of selected geographic areas from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). These boundary files are specifically designed for small-scale thematic mapping. When possible, generalization is performed with the intent to maintain the hierarchical relationships among geographies and to maintain the alignment of geographies within a file set for a given year. Geographic areas may not align with the same areas from another year. Some geographies are available as nation-based files while others are available only as state-based files.

State Legislative Districts (SLDs) are the areas from which members are elected to state legislatures. The SLDs embody the upper (senate) and lower (house) chambers of the state legislature. Nebraska has a unicameral legislature and the District of Columbia has a single council, both of which the Census Bureau treats as upper-chamber legislative areas for the purpose of data presentation; there are no data by SLDL for either Nebraska or the District of Columbia. A unique three-character census code, identified by state participants, is assigned to each SLD within a state. In Connecticut, Illinois, Louisiana, New Hampshire, Wisconsin, and Puerto Rico, the Redistricting Data Program (RDP) participant did not define the SLDs to cover all of the state or state equivalent area. In these areas with no SLDs defined, the code "ZZZ" has been assigned, which is treated as a single SLD for purposes of data presentation.

The generarlized boundaries in this file are based on the most recent state legislative district boundaries collected by the Census Bureau for the 2024 election year and provided by state-level participants through the RDP.

Tags: 2024, cartographic boundary, generalized, lower chamber, lower district, shp, state legislative district, wy, wyoming
Organization: U.S. Census Bureau, Department of Commerce
2024 Cartographic Boundary File (SHP), Elementary School District for Tennessee, 1:500,000

The 2024 cartographic boundary shapefiles are simplified representations of selected geographic areas from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). These boundary files are specifically designed for small-scale thematic mapping. When possible, generalization is performed with the intent to maintain the hierarchical relationships among geographies and to maintain the alignment of geographies within a file set for a given year. Geographic areas may not align with the same areas from another year. Some geographies are available as nation-based files while others are available only as state-based files.

School Districts are single-purpose administrative units within which local officials provide public educational services for the area's residents. The Census Bureau obtains the boundaries, names, local education agency codes, grade ranges, and school district levels for school districts from state officials for the primary purpose of providing the U.S. Department of Education with estimates of the number of children in poverty within each school district. This information serves as the basis for the Department of Education to determine the annual allocation of Title I funding to states and school districts.

The cartographic boundary files include separate files for elementary, secondary and unified school districts. The generalized school district boundaries in this file are based on those in effect for the 2023-2024 school year, i.e., in operation as of January 1, 2024.

Tags: 2024, cartographic boundary, elementary school district, generalized, school district, shp, tennessee, tn
Organization: U.S. Census Bureau, Department of Commerce
2024 Cartographic Boundary File (KML), State Legislative District (SLD) Lower Chamber for New York, 1:500,000

The 2024 cartographic boundary KMLs are simplified representations of selected geographic areas from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). These boundary files are specifically designed for small-scale thematic mapping. When possible, generalization is performed with the intent to maintain the hierarchical relationships among geographies and to maintain the alignment of geographies within a file set for a given year. Geographic areas may not align with the same areas from another year. Some geographies are available as nation-based files while others are available only as state-based files.

State Legislative Districts (SLDs) are the areas from which members are elected to state legislatures. The SLDs embody the upper (senate) and lower (house) chambers of the state legislature. Nebraska has a unicameral legislature and the District of Columbia has a single council, both of which the Census Bureau treats as upper-chamber legislative areas for the purpose of data presentation; there are no data by SLDL for either Nebraska or the District of Columbia. A unique three-character census code, identified by state participants, is assigned to each SLD within a state. In Connecticut, Illinois, Louisiana, New Hampshire, Wisconsin, and Puerto Rico, the Redistricting Data Program (RDP) participant did not define the SLDs to cover all of the state or state equivalent area. In these areas with no SLDs defined, the code "ZZZ" has been assigned, which is treated as a single SLD for purposes of data presentation.

The generarlized boundaries in this file are based on the most recent state legislative district boundaries collected by the Census Bureau for the 2024 election year and provided by state-level participants through the RDP.

Tags: 2024, cartographic boundary, generalized, kml, lower chamber, lower district, new york, ny, state legislative district
Organization: U.S. Census Bureau, Department of Commerce
Community Colleges - Budget, Revenue, Expenditure – Overview Data

This report includes links to community college data and financial information, per House Bill 2946 (2017). Additional information on the community colleges can be found at: https://datamart.hecc.oregon.gov/Screens/CCFIS/CCFIS.aspx

Tags: budget, community-colleges, data-mart, datamart, expenditures, hb-2946, revenue, transparency
Organization: State of Oregon
University - Statewide Program Listing

The following information is from statewide programs operated by a public university as listed in ORS 352.002. It is provided per HB 2946 (2017) and sorted by program name. For more information visit https://www.oregon.gov/highered/institutions-programs/postsecondary-finance-capital/Pages/public-university-funding.aspx

Statewide programs are discussed in the State Funding and Formula Summary report

Tags: financial, university-programs
Organization: State of Oregon
Annual Aggregated County Road Mileage

An annual snapshot of county road mileage, in both lane and centerline miles, aggregated by Year, County, Function Classification, Thru Lane Surface, and Truck Route Classification.

Washington State counties are required to maintain a complete inventory of all county roads, assuring the capability to evaluate and compare the transportation needs and capabilities across the state, thus providing a high level of accountability both by individual county and statewide (WAC 136-60).

Each county is responsible for maintaining current information regarding its Road Log and, no later than April 1st of each year, submits an updated Road Log for its complete road system with all data elements as of December 31st of the preceding year (known in this dataset as "Calendar Year").  This dataset contains aggregated mileage submitted by WA counties and certified by the WA State County Road Administration Board (CRAB) as part of the county road inventory. More information about the County Road Log is available at: https://www.crab.wa.gov/county-road-log.

Tags: county, mileage, roads
Organization: State of Washington
Nebraska High Resolution Wind Resource

A shapefile of annual average wind resource potential for Nebraska, United States at a 50 meter height.  This data set has been validated by NREL and wind energy meteorological consultants. *Note*: This data is not suitable for micro-siting potential development projects. This shapefile was generated from a raster dataset with a 200 m resolution, in a UTM zone 14, datum WGS 84 projection system. The wind power resource estimates were produced by AWS TrueWind using their MesoMap system and historical weather data under contract to Wind Powering America/NREL. This map has been validated with available surface data by NREL and wind energy meteorological consultants.

For updated gridded long-term average wind data please see the "Global Wind Atlas" resource below. For more information on NREL's wind resource data development, see the "Wind Integration National Dataset (WIND) Toolkit" and the "WIND Toolkit Long-Term Ensemble Dataset" resources.

Tags: 50m, aws-truewind, energy, gis, nebraska, nrel, renewable, shapefile, wind, wind-data, wind-resource
Organization: Department of Energy
New Hampshire High Resolution Wind Resource

A shapefile of annual average wind resource potential for Utah, United States at a 50 meter height.  This data set has been validated by NREL and wind energy meteorological consultants. *Note*: This data is not suitable for micro-siting potential development projects. This shapefile was generated from a raster dataset with a 200 m resolution, in a UTM zone 12, datum WGS 84 projection system. The wind power resource estimates were produced by AWS TrueWind using their MesoMap system and historical weather data under contract to Wind Powering America/NREL. This map has been validated with available surface data by NREL and wind energy meteorological consultants.

For updated gridded long-term average wind data please see the "Global Wind Atlas" resource below. For more information on NREL's wind resource data development, see the "Wind Integration National Dataset (WIND) Toolkit" and the "WIND Toolkit Long-Term Ensemble Dataset" resources.

Tags: 50m, aws-truewind, energy, gis, new-hampshire, nrel, renewable, shapefile, wind, wind-data, wind-resource
Organization: Department of Energy
Rhode Island High Resolution Wind Resource

A shapefile of annual average wind resource potential for Rhode Island, United States at a 50 meter height.  This data set has been validated by NREL and wind energy meteorological consultants. *Note*: This data is not suitable for micro-siting potential development projects. This shapefile was generated from a raster dataset with a 200 m resolution, in a UTM zone 19, datum WGS 84 projection system. The wind power resource estimates were produced by AWS TrueWind using their MesoMap system and historical weather data under contract to Wind Powering America/NREL. This map has been validated with available surface data by NREL and wind energy meteorological consultants.

For updated gridded long-term average wind data please see the "Global Wind Atlas" resource below. For more information on NREL's wind resource data development, see the "Wind Integration National Dataset (WIND) Toolkit" and the "WIND Toolkit Long-Term Ensemble Dataset" resources.


Tags: 50m, aws-truewind, energy, gis, high-resoltuion, nrel, renewable, rhode-island, shapefile, wind, wind-data, wind-resource
Organization: Department of Energy
2024 Cartographic Boundary File (KML), Region for United States, 1:20,000,000

The 2024 cartographic boundary KMLs are simplified representations of selected geographic areas from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). These boundary files are specifically designed for small-scale thematic mapping. When possible, generalization is performed with the intent to maintain the hierarchical relationships among geographies and to maintain the alignment of geographies within a file set for a given year. Geographic areas may not align with the same areas from another year. Some geographies are available as nation-based files while others are available only as state-based files.

Regions are four groupings of states (Northeast, South, Midwest, and West) established by the Census Bureau in 1942 for the presentation of census data.

Tags: 2024, cartographic boundary, generalized, kml, region, united states of america (the), us
Organization: U.S. Census Bureau, Department of Commerce
Preliminary Damage Assessments

Preliminary Damage Assessments (PDAs) are conducted to enable FEMA — as well as state, local, tribal, and territorial partners — to determine the magnitude of damage and impact of disasters.rnrnDataset contains Preliminary Damage Assessment (PDA) Reports for Major Disaster Declaration Requests (DR) beginning with Fiscal Year 2008 (October 1, 2007).  These reports contain information gathered during the Preliminary Damage Assessment process and published here 30 days after a determination is made on a request or an appeal.

Tags: authorities
Organization: Department of Homeland Security
Wisconsin High Resolution Wind Resource

A shapefile of annual average wind resource potential for Wisconsin, United States at a 50 meter height.  This data set has been validated by NREL and wind energy meteorological consultants. *Note*: This data is not suitable for micro-siting potential development projects. This shapefile was generated from a raster dataset with a 200 m resolution, in a UTM zone 17, datum WGS 84 projection system. The wind power resource estimates were produced by AWS TrueWind using their MesoMap system and historical weather data under contract to Wind Powering America/NREL. This map has been validated with available surface data by NREL and wind energy meteorological consultants.

For updated gridded long-term average wind data please see the "Global Wind Atlas" resource below. For more information on NREL's wind resource data development, see the "Wind Integration National Dataset (WIND) Toolkit" and the "WIND Toolkit Long-Term Ensemble Dataset" resources.

Tags: 50m, aws-truewind, energy, gis, nrel, renewable, shapefile, wind, wind-data, wind-resource, wisconsin
Organization: Department of Energy
Arkansas High Resolution Wind Resource

A shapefile of annual average wind resource potential for Utah, United States at a 50 meter height.  This data set has been validated by NREL and wind energy meteorological consultants. *Note*: This data is not suitable for micro-siting potential development projects. This shapefile was generated from a raster dataset with a 200 m resolution, in a UTM zone 15N, datum WGS 84 projection system. The wind power resource estimates were produced by AWS TrueWind using their MesoMap system and historical weather data under contract to Wind Powering America/NREL. This map has been validated with available surface data by NREL and wind energy meteorological consultants.

For updated gridded long-term average wind data please see the "Global Wind Atlas" resource below. For more information on NREL's wind resource data development, see the "Wind Integration National Dataset (WIND) Toolkit" and the "WIND Toolkit Long-Term Ensemble Dataset" resources.

Tags: 50m, arkansas, aws-truewind, gis, nrel, renewable, shapefile, wind, wind-data, wind-resource
Organization: Department of Energy
Iowa High Resolution Wind Resource

A shapefile of annual average wind resource potential for Iowa, United States at a 50 meter height.  This data set has been validated by NREL and wind energy meteorological consultants. *Note*: This data is not suitable for micro-siting potential development projects. This shapefile was generated from a raster dataset with a 200 m resolution, in a UTM zone 12, datum WGS 84 projection system. The wind power resource estimates were produced by AWS TrueWind using their MesoMap system and historical weather data under contract to Wind Powering America/NREL. This map has been validated with available surface data by NREL and wind energy meteorological consultants.

For updated gridded long-term average wind data please see the "Global Wind Atlas" resource below. For more information on NREL's wind resource data development, see the "Wind Integration National Dataset (WIND) Toolkit" and the "WIND Toolkit Long-Term Ensemble Dataset" resources.

Tags: 50m, aws-truewind, energy, gis, high-resolution, iowa, nrel, renewable, shapefile, wind, wind-data, wind-resource
Organization: Department of Energy
Agricultural Producer  Certificates

A Certified Agricultural Producer, or representative thereof, is an individual who wishes to sell regionally-grown products in the public right-of-way.  A Certified Agricultural Producer, or representative thereof, may sell only fresh fruits, vegetables, herbs, cut flowers, small trees, or plants, which he or she has produced. A Certified Agricultural Producer may also sell non-potentially-hazardous prepackaged goods (including eggs), with the approval of the Licensure and Regulatory Services Section of the Department of Health and Human Services.  The dataset contains information for active Agricultural Producer certificates (not voided, not Stop Work Order).
Data Refresh Frequency - Daily

Tags: agricultural, certificate, certificates, farm, farming, license, licensing, producer
Organization: Montgomery County of Maryland
New York High Resolution Wind Resource

A shapefile of annual average wind resource potential for New York, United States at a 50 meter height.  This data set has been validated by NREL and wind energy meteorological consultants. *Note*: This data is not suitable for micro-siting potential development projects. This shapefile was generated from a raster dataset with a 200 m resolution, in a UTM zone 18, datum WGS 84 projection system. The wind power resource estimates were produced by AWS TrueWind using their MesoMap system and historical weather data under contract to Wind Powering America/NREL. This map has been validated with available surface data by NREL and wind energy meteorological consultants.

For updated gridded long-term average wind data please see the "Global Wind Atlas" resource below. For more information on NREL's wind resource data development, see the "Wind Integration National Dataset (WIND) Toolkit" and the "WIND Toolkit Long-Term Ensemble Dataset" resources.

Tags: 50m, aws-truewind, energy, gis, new-york, nrel, renewable, shapefile, wind, wind-data, wind-resource
Organization: Department of Energy