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Text classification, translation, QA, summarization, dialogue, sentiment analysis, language modeling, text corpora
49,416 datasets
A private water supply is any water intended for human consumption not provided by the appointed water undertaker, NI Water Ltd. This geospatial dataset contains 100m by 100m squares randomly placed around registered private water supplies in Northern Ireland, as required by the Private Water Supplies Regulations (Northern Ireland) 2017. Only supplies monitored by the Drinking Water Inspectorate at the dataset's creation on 21st March 2019 are identifiable, and the dataset was superseded on 5th June 2019.
Northern Ireland's register of private water supplies, mandated by the 2017 Private Water Supplies Regulations. This geospatial dataset represents registered supplies as 100m by 100m square polygons, covering supplies to public, commercial, or multiple domestic premises used for human consumption. It includes supplies that were historically or currently monitored by the Drinking Water Inspectorate at the dataset's creation.
Northern Ireland's Drinking Water Inspectorate maintains a register of private water supplies for human consumption not provided by the public utility. The dataset represents registered supplies as 100m by 100m square polygons, randomly placed around each supply location. It includes supplies currently or historically monitored, covering those serving public, commercial, or multiple domestic premises.
A spatial dataset of 100m by 100m squares randomly placed around registered private water supplies in Northern Ireland. The register, required by the Private Water Supplies Regulations (Northern Ireland) 2017, includes supplies to public or commercial premises or two or more private dwellings. Only sites being monitored by the Drinking Water Inspectorate at the dataset's creation are identifiable.
A spatial dataset from March 21, 2019, containing a register of private water supplies in Northern Ireland. The data, created by the Drinking Water Inspectorate and published by OpenDataNI, consists of 100m by 100m polygons randomly placed around registered supply locations. It includes supplies to public, commercial, or multiple private dwellings that were being monitored at the time of dataset creation.
The Drinking Water Inspectorate's register of private water supplies in Northern Ireland is a geospatial dataset created under the Private Water Supplies Regulations (Northern Ireland) 2017. It contains 100m by 100m square polygons randomly placed around registered supplies serving public, commercial, or multiple domestic premises. The dataset was created on 9th August 2018 and superseded on 21st March 2019, covering only supplies being monitored at that time.
OpenDataNI's Register of Private Water Supplies in Northern Ireland is a spatial dataset of 100m by 100m squares randomly placed around registered private water supplies. The dataset, created under the Private Water Supplies Regulations (Northern Ireland) 2017, identifies supplies to public, commercial, or multiple domestic premises that are monitored by the Drinking Water Inspectorate. It includes both current and historically monitored supplies, with the data snapshot created on 6th January 2021 and superseded on 30th March 2021.
A 2019-2023 geospatial registry contains 100m by 100m grid squares representing private water supplies in Northern Ireland. The dataset, mandated by the Private Water Supplies Regulations (Northern Ireland) 2017, includes supplies to public, commercial, or multiple domestic premises used for human consumption. It identifies supplies currently or historically monitored by the Drinking Water Inspectorate.
A spatial dataset from March 21, 2019, containing a register of private water supplies in Northern Ireland. The data, created by the Drinking Water Inspectorate and published by OpenDataNI, consists of 100m by 100m polygons randomly placed around registered supply locations. It includes supplies to public, commercial, or multiple private dwellings that were being monitored at the time of dataset creation.
From 2003 to 2019, this dataset provides daily surface air temperature estimates at a 0.01° resolution over Beijing. It is a provincial subset derived from a larger mainland China product, generated primarily from MODIS and GLDAS data sources. The dataset was validated against ground measurements from 20 meteorological stations, achieving an R² of 0.987 and an RMSE of 1.295 K.
A 30-meter resolution global impervious surface area (ISA) dataset spanning from 1985 to 2021, named GISA-new. It was created by researchers at Wuhan University using a novel multi-temporal change detection method to reduce omission and commission errors. The dataset achieved an overall accuracy of 93.12% based on validation with over 100,000 global test samples.
Geospatial areas identified by the Geological Survey of Victoria as having future interest for the extractive minerals industry. The dataset is based on suitable geological occurrence and considers existing local government planning schemes, intended to guide future planning policy. It was updated in July 2026 to remove areas made redundant by newer planning controls, including Strategic Extractive Resource Areas (SERAs).
David Radice and collaborators from Princeton University release dynamical ejecta data from binary neutron star merger simulations. The dataset includes tabulated nucleosynthesis yields, ejecta mass histograms, and outflow profiles extracted at a coordinate sphere radius of 443 km. Data is provided for individual simulations, including initial data generated with LORENE and associated equation-of-state tables.
A 2026 dataset from the Australian Ocean Data Network provides the first national-scale mapping of tropical reef boundaries. It contains 23,805 mapped features, including coral reefs, rocky reefs, and sand banks across tropical Australian waters. The dataset integrates regional mapping efforts and includes bathymetry statistics and sovereignty attributes.
An artifact accompanying a formal methods paper presented at FM 2023 includes policy formulas and raw log files. It contains all tools necessary to reproduce the experimental results reported in the associated paper. The artifact was authored by David Basin of ETH Zurich.
Four video files provide supplementary imaging data from the TCV tokamak for research on power exhaust in multiple X-point configurations. The data includes multi-spectral imaging from the MANTIS diagnostic and fast imaging from a dedicated camera, capturing the divertor region. S. Gorno of École Polytechnique Fédérale de Lausanne submitted the accompanying article for publication in 2024.
A paper from Harvard University introduces a quick algorithm for approximating the full conditional distribution of a gamma shape parameter with a gamma distribution. The method is empirically demonstrated to be fast and accurate across a wide range of conditions and can serve as a proposal distribution for exact Metropolis–Hastings sampling. Supplementary material for the article is available online.
A collection of datasets for training and evaluating Hierarchy Transformer encoders (HiTs) from the University of Oxford. The datasets support multi-hop inference and mixed-hop prediction tasks, including transfer evaluation across schema.org, FoodOn, and Disease Ontology (DOID) hierarchies. The data is available via Huggingface Datasets and a Zenodo release, with the work published in Advances in Neural Information Processing Systems in 2024.
Nine LoRaWAN gateways collected raw payload and metadata in an urban setting. The dataset is structured as daily CSV files and includes a parser for generating statistics. It supports research into low-power wide-area network performance and edge computing.
HM Treasury guidance requires the Skills Funding Agency to publish all expenditure (payments) over £25,000. The data is published monthly in CSV format and includes the date of payment, expense type, expense area, payee, transaction number, payment value, and a description. Typical transactions cover purchase invoices, funding allocations, staff expenses, and bank charges, with summarised payroll information also included despite being exempt.