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Legislative text, court decisions, regulatory filings, patents, government contracts, election data
9,340 datasets
2026 data provides a regional overview of Yukon and adjoining jurisdictions for visual representation. The dataset is referenced at a scale of approximately 1:1,000,000 and is distributed by the Government of Yukon via GeoYukon.
Surf Coast Shire Council maintains a dataset of kindergarten locations within its jurisdiction. The dataset was last updated on April 4, 2026, and is provided by the local government authority. It includes geographic coordinates and addresses for early childhood education facilities.
Surf Coast Shire Council provides a geospatial dataset listing the locations of kindergartens within its jurisdiction. The dataset includes multiple file formats for accessibility and was last updated in April 2026. It is published under a Creative Commons Attribution 4.0 license.
One official statement outlines Canada's primary Arctic foreign policy priority as exercising sovereignty in the North. The archived document was published by Global Affairs Canada, with a platform record last updated in April 2026.
The Royal Borough of Kingston upon Thames contains areas designated as Sites of Special Scientific Interest (SSSI). This dataset, sourced from the Government Digital Service via the eu_open_data platform, identifies locations protected from inappropriate development under UK planning policy regulations. The dataset serves as a foundational layer for site-based nature and geological conservation designations in Great Britain.
Hedgerow removal and retention notifications for the North York Moors National Park Authority under the Hedgerows Regulations 1997. The dataset likely contains point locations for notices where permission is required to remove hedges at least 20 metres long, over 30 years old, and containing certain plant species. The Government Digital Service provides this data, which should be used with a corresponding linear features layer.
412 kilometers of public rights of way, including footpaths, bridleways, and restricted byways, are documented for the Redcar and Cleveland borough. Over 100 kilometers of this network are located within the North York Moors National Park. The dataset is managed by Redcar & Cleveland Borough Council and the North York Moors National Park Authority.
2005-2006 Landsat imagery was used to classify vegetation loss and recovery in an Alberta oil and gas pilot region. The dataset contains 9 land cover change classes, including exposed land, developed areas, and agricultural zones. It was produced by the Alberta Energy Regulator as part of a 2014 Play-Based Regulation pilot project.
Supplementary data and scripts for the selection of yeast communities to use in greenhouse experiments. The dataset, authored by María-José Romero-Jiménez, is available under a CC-BY-4.0 license and was last updated on April 22, —. It consists of multiple file formats totaling 916.3 KB.
Ontario's spatial record of geographic areas affected by provincial-level, area-specific land use policy. The dataset contains geometry from multiple regulated layers including provincial parks, conservation reserves, natural heritage values areas, and crown land acquisitions. It is maintained by the Government of Ontario and was last updated in March 2026.
Hedgerow removal and retention notices for the North York Moors National Park Authority, collected under the Hedgerows Regulations 1997. The dataset is provided by the Government Digital Service and should be used in conjunction with a corresponding points layer. The regulations require permission to remove hedges that are at least 20 meters long, over 30 years old, and contain certain plant species.
23,509 mayoral candidacy observations from 4,624 electoral contests in 846 Italian municipalities with over 15,000 inhabitants, spanning 1993 to 2024. Vittorio Mete compiled this dataset by integrating official election archives with candidate socio-demographic data from ISTAT and manually coding political affiliations. The data supports longitudinal analysis of electoral dynamics in two-round systems.
Land use and land cover classifications for a specific regulatory pilot area in Alberta, Canada. The dataset was created by the Alberta Energy Regulator using 2006 Landsat multispectral imagery. It contains 13 distinct land cover classes to serve as baseline data for planning and monitoring.
A 1.1 MB DOCX file presents a curated transcriptional regulatory subnetwork for diabetic cardiomyopathy (DCM). The analysis identifies six functional modules and ranks transcription factors like FOS, JUN, STAT3, MYC, and ESR1 by network centrality. It was authored by Fernanda Fredericksen and last updated in March 2026.
A 955.6 KB Excel file contains the reconstructed transcriptional regulatory subnetwork for diabetic cardiomyopathy (DCM). The analysis, by Fernanda Fredericksen, integrates differential expression data from human hiPSC-derived cardiomyocytes with literature-curated transcription factor-target interactions. It identifies six functional modules and ranks transcription factors like FOS, JUN, STAT3, MYC, and ESR1 by network centrality.
Six distinct land cover classes, including shrub land, grassland, and forest types, were classified to assess vegetation recovery from energy exploration disturbances. The Alberta Energy Regulator produced this dataset using Landsat multispectral imagery from 2008 and 2009 and derived Land Use and Land Cover data. It covers a specific pilot area for Play-Based Regulation, extending from Township 52 to 70 in Alberta.
Alberta's Play-Based Regulation pilot area is monitored using Landsat multispectral imagery from 2009 and 2010. The Alberta Energy Regulator produced this dataset to classify vegetation recovery into six land cover classes following anthropogenic disturbance. It covers a region spanning multiple townships and towns, including Edson and Whitecourt.
13,500 executable Claw-style tasks generated via two synthesis routes. The dataset was created by RUC-AIBOX and last updated on 2026-05-15. It combines persona-driven synthesis, which samples user profiles and atomic operations, with skill-grounded synthesis built from OpenClaw skills.
Replication materials for a study on electoral accountability and content removal channeling. The dataset contains country-year panel data from Google Transparency Reports spanning 2009 to 2022. The analysis uses quasi-experimental variation in election timing to test a political agency model of content removal.
2007-2008 Landsat multispectral imagery was used to classify vegetation recovery in a pilot regulatory area of Alberta. The Alberta Energy Regulator produced this dataset to assess surface change impacts from energy exploration. It contains vegetation recovery data classified into six land cover classes.