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Legislative text, court decisions, regulatory filings, patents, government contracts, election data
9,263 datasets
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.
Six land cover classes track vegetation recovery from energy exploration disturbances across a 2006-2007 timeframe. The Alberta Energy Regulator created this dataset using Landsat multispectral imagery and land use classification data. It covers a specific pilot area spanning multiple townships in Alberta.
Maria Font's dataset contains crystallographic models and map files for three protein structures from sulfate-reducing bacteria, with PDB codes 2RC0, 9RC2, and 9RBZ. The 4.6 GB archive also includes all AlphaFold models and associated data presented in the study. It was last updated on April 17, 2026.
2026-updated spatial data outlines planning requirements for activity centres in Perth and Peel. The policy, authored by the Western Australian Department of Planning, Lands and Heritage, integrates land use, public transport, and urban design criteria to coordinate development.
Historic districts in San Francisco are mapped by the San Francisco Planning Department. The dataset includes districts listed in Articles 10 and 11 of the San Francisco Planning Code and those listed or eligible for listing in the California and National Registers of Historic Places. It syncs nightly with the Planning Department's database and is updated several times a year when new districts are approved or listed.
Field interview data collected by the New Orleans Police Department (NOPD) from individuals stopped for questioning and complainants. The dataset is provided by the City of New Orleans and was last updated on March 22, 2026. The data is available in multiple formats including CSV, JSON, RDF, and XML.
Annual Vegetation Recovery Classification Results of the Play-Based Regulation Pilot Study Area is a geospatial dataset classifying vegetation recovery into six land cover classes. It was produced by the Alberta Energy Regulator using Landsat imagery from 2010 and 2011. The data assesses surface change from energy exploration within a defined pilot area in Alberta.
Vegetation recovery data classifies land into six recovery types for an Alberta energy regulation pilot area. The Alberta Energy Regulator produced this dataset using Landsat imagery from 2011 and 2012. It assesses surface change related to energy exploration activities.
Six vegetation recovery classes—shrub land, grassland, agricultural areas, coniferous, broadleaf, and mixed forest—were derived from Landsat multispectral imagery for 2012 and 2013. The dataset was produced by the Alberta Energy Regulator in 2014 to assess surface change within the Play-Based Regulation pilot area. It covers a region extending from Township 52 to 70, including towns like Edson and Whitecourt.
Annual Land Disturbance Classification Results of the Play-Based Regulation Pilot Study Area provides a 9-class categorization of vegetation loss and recovery from anthropogenic disturbances. The Alberta Energy Regulator created this dataset using 2012-2013 Landsat imagery and 2013 land cover data. It serves as baseline data for planning and monitoring surface infrastructure impacts in the pilot area.
2009-2010 Landsat imagery was used to classify vegetation loss from anthropogenic disturbances in a specific Alberta pilot region. The Alberta Energy Regulator created this dataset in 2014 to assess surface change from energy exploration, forestry, and agriculture. It contains vegetation loss data categorized into 9 distinct classes.
Thirteen distinct land cover classes, including coniferous forest, water bodies, and developed areas, are mapped across a 2005 Landsat image of Alberta. The Alberta Energy Regulator created this dataset to establish a baseline for assessing surface impacts from energy exploration. It covers a specific pilot area extending from Township 52 to 70, encompassing several towns.