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Legislative text, court decisions, regulatory filings, patents, government contracts, election data
9,262 datasets
Administrative data collected by the National Police of Ukraine under the state statistics law. The dataset likely contains information on the application of administrative responsibility legislation by police bodies. It originates from the States site of Ukraine and was last updated on May 6, 2026.
A 5.5 KB Excel file authored by Metogbe Belfrid Djihouessi, last updated in April 2026. This dataset compiles legal and institutional frameworks specifically for lagoons in West Africa. The data is shared under a permissive CC-BY-4.0 license.
A rasterized topographic map mosaic covering New South Wales, Australia, derived from the Digital Topographic Database. The service includes roads, points of interest, localities, contours, drainage, cultural data, parks, forests, and property boundaries. It is provided by Spatial Services, a business unit of the Department of Customer Service NSW, and was initially published in July 2019.
Washington State Public Disclosure Commission data on lobbying organizations and their total reported compensation and expenses. The dataset covers the prior 16 years plus the current election year, with records before 2016 available in a separate dataset. It is a best-effort compilation that may contain incomplete or incorrect information, with original reports accessible for verification.
Lobbyist compensation and expense summaries are compiled from monthly reports filed with the Washington State Public Disclosure Commission. The dataset covers a time range from 2016 to the current election year, with pre-2016 records available separately. Records include payments from clients and unreimbursed firm expenses, but reports with no financial activity are excluded.
One component layer of the Scottish wildness map quantifies landform ruggedness. The dataset uses a 1-256 scale to indicate relative levels of ruggedness, adapted from a 2008 study in the Cairngorms National Park. It is produced by the Government Digital Service and sourced from the EU Open Data platform.
Salford Polling Stations provides the geospatial locations of voting places used in elections within the Salford area. The dataset is published by the Government Digital Service under the UK's Open Government Licence. It was specifically updated for the May 2021 elections.
Government election fees paid to the Chief Executive, published under the Data Transparency Code 2014. The dataset is provided by the Government Digital Service and is required to be updated on an annual basis. It is available in multiple formats including XML, CSV, HTML, and JSON.
2017 Municipal Election data for electoral districts in Québec, Canada. The dataset is published by the Government and Municipalities of Québec on the open_canada platform. It is available in CSV format under a CC-BY-4.0 license.
2017 Municipal Election data from the Government and Municipalities of Québec, published on the open_canada platform. The dataset is available in CSV format and was last updated in April 2026. Its specific columns and row count are not detailed in the provided metadata.
Geospatial data details Atlantic sturgeon breeding, feeding, and concentration areas in the St. Lawrence River and Estuary. The information was compiled from a literature review of documents published between 1993 and 2003. The dataset is provided by Fisheries and Oceans Canada.
A geospatial layer documents known rainbow smelt breeding and feeding areas in the Saguenay River, the fluvial section, and Estuary of St. Lawrence. The data was compiled from a literature review of documents produced between 1977 and 2000 by Fisheries and Oceans Canada.
Literature review from 1995 to 1999 documents seaweed medium to high density areas in the Chaleur Bay, the Estuary and the Gulf of St. Lawrence. The layer integrates known information from six specific technical reports and inventories conducted by Fisheries and Oceans Canada and its partners.
A geospatial dataset documents known lake sturgeon breeding, feeding, and concentration areas in the St. Lawrence River and Estuary. It was compiled by Fisheries and Oceans Canada from a literature review of documents published between 1976 and 2002. The dataset is available in SHP, ESRI REST, and CSV formats.
Estuary and Gulf of St. Lawrence data identifies potential haul-out sites for harbor seals (Phoca vitulina) and gray seals (Halichoerus grypus). The dataset was compiled from a literature review of documents published between 1978 and 2000 by Fisheries and Oceans Canada. It includes geospatial features available in SHP, ESRI REST, and CSV formats.
Breeding areas for American shad in the St. Lawrence River and Estuary were compiled from a literature review of documents published between 1976 and 1997. The data layer provides a spatial synthesis of known spawning locations for this fish species. It was produced by Fisheries and Oceans Canada and is available in geospatial formats including SHP and CSV.
A geospatial dataset documents harbor seal breeding and feeding areas in the Saguenay Fjord, Estuary, and Gulf of St. Lawrence. It was compiled by Fisheries and Oceans Canada from a literature review of documents published between 1968 and 2001. The data is available in multiple formats including SHP, ESRI REST, and CSV.
A marsh inventory compiled from a literature review of documents published between 1985 and 2002. The dataset covers coastal habitats in Chaleur Bay, the Estuary, and the Gulf of St. Lawrence, produced by Fisheries and Oceans Canada. It is available in SHP, ESRI REST, and CSV formats.
ACT Districts Boundaries are defined for land administration and the legal description of land parcels. The boundaries are defined in metres and bounds form in the Districts Act 1966 and cannot be changed without legislative amendment. The dataset is maintained by the ACT Government Geospatial Data Catalogue (ACTmapi) and was last updated on 2026-04-04.
A large dataset for chess spatial reasoning tasks, created by oscar128372. It contains tasks like piece identification on squares from FENs/PGNs, legal move identification, and positional motifs. The dataset was last updated on June 10, 2026.