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General ML benchmarks, tabular data, AutoML, recommendation systems, anomaly detection, evaluation suites
194,257 datasets
The Northwest Territories of Canada are represented in this geospatial dataset. It is a PDF map showing communities and major roads overlaid on a satellite image base map, published by the Government of Northwest Territories. The dataset was last updated on July 8, 2026.
A geospatial dataset from the Government of the Northwest Territories, last updated on July 8, 2026. It provides a vector base map depicting communities and major roads within the territory. The data is available in PDF format under the OGL-CA-2.0 license.
Satellite imagery provides the base map for this geospatial dataset of community locations in Canada's Northwest Territories. The Government of Northwest Territories is the authoritative source, with the record last updated on July 8, 2026. The data is provided in PDF format, though the specific number of locations and underlying data structure are not detailed.
Community Locations in the NWT with Vector Base Map is a geospatial dataset from the Government of Northwest Territories. The data is provided in PDF format and was last updated on July 8, 2026. It is released under the OGL-CA-2.0 license.
Dnepropetrovsk State Institute of Physical Culture and Sport researcher Vadim Matyas conducted a study on technical training methods for youth football players. The main experiment involved 44 players aged 10-11, testing technical elements and analyzing error rates. The research compares training curricula from different authors and proposes a method for the annual training cycle.
Government of Northwest Territories provides measured highway distances for Highways 1 to 6 and Highway 9 in the South Slave Region. The dataset is available in PDF format and is licensed under the OGL-CA-2.0 license. Its last update was recorded on 2026-07-08.
ORCAS-I is an annotated version of the ORCAS dataset, containing 18 million unique query-URL pairs labeled with user intents using weak supervision. The dataset was created by Kusa, Wojciech at TU Wien and includes a manually annotated gold test set of 1,000 queries. It provides a taxonomy of user intents based on Broder's classification, refined with subcategories.
Monthly management information on staff numbers and paybill costs in UK Civil Service departments, their agencies, and executive NDPBs. The data includes payroll and non-payroll staff split by full-time equivalents and headcount, with payroll costs broken into components like salaries and pensions. The dataset is provided by HM Revenue and Customs and was last updated in June 2026.
Posterior samples from the Illinois-Maryland analysis of NICER and XMM-Newton X-ray telescope data for the pulsar PSR J0030+0451. The dataset includes samples for equatorial circumferential radius and gravitational mass, as well as full posterior samples from analyses using NICER data alone and joint analyses with XMM-Newton data. The data was produced by M. Coleman Miller at the University of Maryland, College Park.
Land Registry applications received 2019-2020 shows the volumes of applications received in the financial year 2019-2020 against the main applications types. The dataset is available under an Open Government Licence and is hosted on multiple open data platforms, suggesting its use for public accountability. Its tabular format likely contains counts of different application types processed by the registry.
Financial year 2020-2021 data details the volumes of Land Information Services completed and received by postal service. The dataset likely contains counts of service requests, such as document copies or map requests, processed through postal channels. It is published under an open government license and is available on multiple data platforms.
The 2020-21 Register of Ministers' Interests documents financial and other relevant interests declared by UK government ministers. This dataset supports public scrutiny and research into political transparency and potential conflicts of interest. It is published under an open government license and is available on multiple official data platforms.
A study of endurance functions for a broad range of relative loads, comparing males and females. Endurance for a static manual pull decreased from 252 seconds to 2 seconds as the relative load increased from 25% to 100% of maximum strength. The data was authored by Lee S. Caldwell and sourced from Papers with Code.
NASA's Crustal Dynamics Data Information System provides daily ground-based GNSS observation files from a global network of receivers. The data includes 30-second sampled measurements primarily from GPS and GLONASS, with other global and regional satellite systems added since 2011. Each file contains one day of compact RINEX format data from a single site.
NASA's Crustal Dynamics Data Information System (CDDIS) provides daily ground-based Global Navigation Satellite System observation and broadcast ephemeris data. The dataset includes 30-second sampled observation data from GPS, GLONASS, Galileo, Beidou, QZSS, IRNSS, and SBAS since 2011, stored in RINEX format. These files originate from a global permanent network of receivers, supporting precise geospatial positioning and Earth science research.
UK data from the Care Quality Commission tracking performance against a target to pay 80% of invoices within five working days. The dataset likely contains metrics on invoice payment volume and value over time. It was last updated on 2026-07-08.
North Somerset Brownfield Register is an official government dataset listing previously developed land suitable for housing development. The register is produced in accordance with a national data standard and is available in multiple formats, including CSV, JSON, and XML. Its cross-platform presence on UK and EU open data portals indicates its importance for land-use transparency.
Council tax levels set by local authorities in England, published by the Ministry of Housing, Communities and Local Government. The dataset is licensed under OGL-UK-3.0 and was last updated on 2026-07-08. The specific number of records and detailed column structure are not provided in the available metadata.
UKCP09 time series of growing degree days, a measure of heat accumulation above a 5.5°C baseline. The dataset was created with financial support from the UK Department for Environment, Food and Rural Affairs (Defra) and promoted by the UK Climate Impacts Programme. The data is hosted by the Met Office and requires registration to access.
UKCP09 time series data tracks the annual length of the growing season across the United Kingdom. The dataset was created with financial support from the UK's Department for Environment, Food and Rural Affairs (Defra) and is promoted by the UK Climate Impacts Programme. The growing season is defined as the period bounded by daily mean temperatures exceeding 5°C for more than five consecutive days and falling below 5°C for more than five consecutive days after July 1.