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Legislative text, court decisions, regulatory filings, patents, government contracts, election data
9,397 datasets
New York State public authorities are required to submit annual salary and compensation reports. The dataset covers eight fiscal years, including the most recently completed calendar year, and contains employee-level details. It is published by data.ny.gov and sourced from reports submitted to the Authorities Budget Office under Public Authorities Law Section 2800.
Highland Council Polling Districts are geographical sub-divisions of electoral areas for voting purposes. The dataset is provided by the Government Digital Service and describes the sub-division of parliamentary constituencies and local government wards. The specific number of districts, their boundaries, and last update date are unknown.
Polling Districts - South Ayrshire is a boundary dataset from the Government Digital Service. It delineates properties assigned to specific polling places or stations for local and national elections within the South Ayrshire council area.
The dataset identifies 'Remote Areas' within the North York Moors National Park Authority (NYMNPA) region, as defined by Policy ENV3 of the Local Plan. It is produced by the Government Digital Service and sourced from the eu_open_data platform. The policy restricts development in these areas to purposes related to environmental conservation, agriculture, or forestry management.
Polling place locations for UK Parliamentary General Elections within the City of London. The dataset is provided by the Government Digital Service and sourced from the eu_open_data platform. The specific number of locations, update frequency, and temporal coverage are not detailed in the available metadata.
Waste Management Licence Current Exemptions data lists activities exempt from waste management licensing in Wales as required by Schedule 3 of the Waste Management Licensing Regulations 1994. The dataset is provided by the Government Digital Service via the eu_open_data platform. Additional information is referenced in Circular 26/94 for Wales.
A policy document outlining the Royal Canadian Mounted Police's commitment to open data by default. The policy instrument supports government principles of transparency, accountability, and citizen engagement. It was published by the Royal Canadian Mounted Police and was last updated in April 2026.
Electoral Division data describes the voting area subdivisions within counties in the United Kingdom. The dataset is provided by the Government Digital Service and sourced from the eu_open_data platform. It defines the electoral divisions in Wales, unitary authority wards in Scotland, and the corresponding wards or electoral divisions in England.
The Great Lakes St. Lawrence River System, from Lake Ontario headwaters to L'Ile-Saint-Regis Island, is covered by this geospatial dataset. It contains vector polygons and lines representing political and jurisdictional human-use resources, part of a larger Environmental Sensitivity Index (ESI) database characterizing sensitivity to oil spills. The data was created by the National Oceanic and Atmospheric Administration (NOAA) and last updated in March 2026.
National Oceanic and Atmospheric Administration data characterizing freshwater mussels and other invertebrates in the St. Lawrence River for the 2021 Environmental Sensitivity Index. The study area spans from the headwaters of Lake Ontario to the western portion of L'Ile-Saint-Regis Island in Canada. Associated tables store species-specific abundance, seasonality, status, and life history information.
The Great Lakes St. Lawrence River System, from Lake Ontario to L'Ile-Saint-Regis Island, is covered by this geospatial dataset. It contains vector polygons and points representing human-use resources like anchorages, boat ramps, and ports, compiled by the National Oceanic and Atmospheric Administration. The data is part of an Environmental Sensitivity Index (ESI) characterizing sensitivity to oil spills.
GL_St_Lawrence_River_2021 ESI HERP Polygons is a geospatial dataset from the National Oceanic and Atmospheric Administration. Vector polygons represent sensitive biological resource data for herpetofauna in the St. Lawrence River from Lake Ontario to L'Ile-Saint-Regis Island. The data characterize wildlife sensitivity to oil spills and include associated tables on species abundance, seasonality, and life history.
The Great Lakes St. Lawrence River system, from Lake Ontario headwaters to L'Ile-Saint-Regis Island, is covered by this geospatial dataset. It contains vector polygons, lines, and points representing socioeconomic human-use resources like airports, beaches, and historical sites. The data was created by the National Oceanic and Atmospheric Administration (NOAA) as part of the 2021 Environmental Sensitivity Index (ESI) to characterize sensitivity to oil spills.
NOAA's Office of Response and Restoration created the Great Lakes St. Lawrence River - 2021 Environmental Sensitivity Index (ESI) data. These geospatial polygons represent parks, management areas, and Nature Conservancy properties as human-use resources for oil spill planning. The study area covers the St. Lawrence River from Lake Ontario headwaters to L'Ile-Saint-Regis Island.
Vector polygons represent sensitive biological resource data for terrestrial mammals, specifically threatened and endangered bats, in the St. Lawrence River. The study area includes the river from the headwaters of Lake Ontario to the western portion of L'Ile-Saint-Regis Island. This data set is a portion of the Environmental Sensitivity Index (ESI) data for the Great Lakes St. Lawrence River, characterizing wildlife sensitivity to spilled oil.
Overlay data modifies land use policy for specific geographic areas within Ontario's Crown land. The Government of Ontario maintains this spatial record as the authoritative source for these policy designations. It was last updated in March 2026.
Government of Ontario data distinguishes between single-tier municipalities, which assume all municipal responsibilities, and lower-tier municipalities, which share responsibilities with an upper-tier. The dataset was last updated on March 25, 2026, and is available in formats including ESRI REST and ZIP. It originates from the Government of Ontario under the OGL-CA-2.0 license.
Polygon data showing the extent and location of all Common Land and Village Greens within Bristol. Commons are unfenced land in private ownership with development rights protected by legislation, while Village Greens are areas for local recreation and lawful sports. The dataset is provided by the Government Digital Service.
The City of Dallas operating budget details expenses organized by fund, department, and service. Data includes columns for fiscal year, department, service, and budget/expenditure amounts. It is published by the City of Dallas via its open data portal and was last updated in April 2026.
Contractors legally authorized to work in the State of Oregon, as listed by the Oregon Construction Contractors Board. The dataset includes columns for license details, insurance, bonding, and contact information. It was last updated on 2026-04-03 and is provided by data.oregon.gov.