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Legislative text, court decisions, regulatory filings, patents, government contracts, election data
9,386 datasets
50 episodes of robot teleoperation data created using LeRobot, containing 31,792 frames at 30 frames per second. The dataset was uploaded by user zeroclaw-1 to Hugging Face and was last updated on May 1, 2026.
Greater London Authority provides a detailed report on the 2022 London Borough council elections. The report includes data for every candidate in every ward across 32 boroughs, enabling analysis and comparison of results across London. It is part of a long series of council election reports dating back to 1964.
Alberta, Canada's Play-Based Regulation pilot area is covered by a land-use classification dataset derived from 2005 Landsat imagery. The Alberta Energy Regulator created this dataset to assess surface change from energy exploration. It contains 13 distinct land cover classes.
Alberta Energy Regulator provides a land-use and land-cover classification dataset derived from 2005 Landsat imagery. It contains 13 distinct classes covering a defined pilot area in Alberta, Canada. This dataset serves as baseline data for planning and monitoring surface infrastructure impacts.
2010-2011 Landsat multispectral imagery was used to classify land disturbance across a pilot regulatory area in Alberta. The Alberta Energy Regulator produced this dataset to assess surface change from energy exploration and other anthropogenic activities. It contains vegetation loss data classified into 9 categories, including exposed land, developed areas, and agricultural zones.
Alberta's Play-Based Regulation pilot area, covering towns from Edson to Valleyview, features a land-use and land-cover classification derived from 2005 Landsat imagery. The Alberta Energy Regulator created this dataset to assess surface change from energy exploration, classifying terrain into 13 categories including forests, water, and developed areas. It serves as baseline data for planning and monitoring surface infrastructure impacts.
2005 land-use and land-cover classifications derived from Landsat multispectral imagery for a specific pilot area in Alberta. The dataset contains 13 distinct classes including water bodies, various forest types, developed areas, and agriculture. It was created by the Alberta Energy Regulator as part of a 2014 Play-Based Regulation pilot project to assess surface change from energy exploration.
Alberta Energy Regulator provides a land-use and land-cover classification dataset derived from 2005 Landsat imagery. It contains 13 distinct classes including forests, water bodies, developed areas, and agriculture for a defined pilot region. This data serves as baseline information for planning and monitoring surface impacts from energy exploration.
Nine vegetation loss classes, including exposed land and developed areas, were derived from Landsat multispectral imagery for 2011 and 2012. The Alberta Energy Regulator created this dataset to assess surface change from energy exploration in a specific pilot area. It serves as baseline data for planning and monitoring surface infrastructure impacts.
A 5.5 KB Excel file containing performance evaluation data for different band selection algorithms. The dataset, authored by Dandan He and last updated on 2026-04-17, is available under a CC-BY-4.0 license on figshare.
A performance comparison of different hybrid clustering band selection methods. The dataset is a 5.5 KB Excel file authored by Dandan He and last updated on April 17, 2026. It is shared under a CC-BY-4.0 license on the figshare platform.
Alberta Energy Regulator data classifies vegetation loss from anthropogenic disturbances into 9 categories. The dataset covers the Play-Based Regulation pilot area from Township 52 to 70, including towns like Edson and Whitecourt. It was created using Landsat multispectral imagery from 2008 and 2009 and related land cover classification data.
2009 Landsat imagery provides a baseline land-use and land-cover classification for an Alberta energy regulation pilot area. The Government of Alberta's Alberta Energy Regulator created this dataset to assess surface change from energy exploration. It contains 13 distinct land cover classes, including various forest types, developed areas, water bodies, and agricultural land.
Nine distinct land disturbance classes, including exposed land and developed areas, were mapped across a 2007-2008 baseline. The Alberta Energy Regulator created this dataset using Landsat imagery to assess surface impacts from energy exploration. It covers a specific pilot area in Alberta extending from Township 52 to 70.
2014 election results for the municipal council of Breda, Netherlands. The dataset is published by the Dutch Ministry of the Interior and Kingdom Relations (Ministerie van Binnenlandse Zaken en Koninkrijksrelaties) on the eu_open_data platform. The data is provided in JSON format under a CC0-1.0 license.
287 articles from the Clawpedia AI knowledge base, exported as JSON Lines. The dataset was created by Clawpedia and last updated on Hugging Face in May 2026. Each entry is a JSON object containing fields like slug, title, description, category, and author.
A list of current regulatory acts from the Zhmerynka City Council, indicating their entry-into-force dates and schedules for basic, repeated, and periodic monitoring of their effectiveness. The dataset is published on the States site of Ukraine and was last updated on 2026-04-20. It is available in an Excel XLSX file format.
The State Inspectorate for Energy Supervision of Ukraine provides a set of normative legal acts and drafts. The dataset is available in EXCEL XLSX and CSV formats and was last updated on 2026-04-21. It contains information on the regulatory framework governing energy supervision in Ukraine.
Tennis courts in the City of Melton, Australia. The dataset is published by the Melton City Council and was last updated on 2026-04-26. It is available in multiple geospatial formats including GEOJSON and SHP.
106 Situational Judgment Test scenarios were developed by 21 experts for residency selection in Indonesia. The scenarios, ranging from 21 to 145 words in length, primarily focus on commitment to professionalism. This dataset was created by Diantha Soemantri and published on figshare in March 2026.