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Text classification, translation, QA, summarization, dialogue, sentiment analysis, language modeling, text corpora
49,416 datasets
Generational accounts provide an alternative view of long-term public finance in the United Kingdom. The dataset is produced by the Office for National Statistics as supporting material. It was last updated on July 8, 2026.
An all-sky daily mean surface air temperature product at 1 km spatial resolution over mainland China for 2003–2019 was generated by Yan Chen of Wuhan University. The dataset was created mainly from MODIS and GLDAS data using random forest models trained on ground measurements from 2384 stations. Validation showed R² values from 0.984 to 0.986 and RMSE values from 1.342 K to 1.440 K, indicating satisfactory accuracy.
Behavioral syllable data from female and male mice in open field tests, collected longitudinally across different estrous cycle phases. The dataset was created by Dana Rubi Levy of Harvard University for the 2023 study 'Mouse spontaneous behavior reflects individual variation rather than estrous state'. It includes separate dataframes for female and male subjects, as well as control groups.
The Regulatory and Statistical Return (RSR) dataset contains average weekly rents for self-contained units managed by larger Registered Social Landlords (RSLs) in the UK. Data is collected by the Tenant Services Authority (TSA) and focuses on general needs stock, covering areas like dwelling stock, vacants, and Decent Homes. The dataset was last updated on 2026-07-08 by the Ministry of Housing, Communities and Local Government.
Heat stress experiments on three coral species from the Great Barrier Reef, conducted between November 2020 and April 2022, investigate the potential of selective breeding for enhanced thermal resilience. The Australian Ocean Data Network hosts this data from the Reef Restoration and Adaptation Program, measuring survival, growth, color change, and photosynthetic yield in larvae, juveniles, and adults. Results show higher survival in some inter-region crosses but highlight the complex inheritance of heat tolerance across early life stages.
Torres Strait Island communities have their natural resource use categorized based on expert rankings of 27 ecosystem goods and services. The analysis covers 15 communities, ranking resource volume on a scale from 0 to 5 to determine four distinct community typologies. This dataset was produced by the NERP TE 11.1 project with input from the TSRA Land & Sea Management Unit.
A Web Mapping Service delivering over 1500 map layers of environmental research focusing on the Great Barrier Reef, neighbouring coasts, the Wet Tropics rainforests, and Torres Strait. The service is operated by the Australian Institute of Marine Science and co-funded by the National Environmental Research Program Tropical Ecosystems hub. It includes reference datasets from state and federal agencies and is hosted on an Amazon Web Services server using GeoServer version 2.13.
Geoscience Australia generated depth contours for -20m, -40m, -100m, -200m, and -400m from a 2009 bathymetric grid. The underlying grid combines high-resolution 0.0025-degree data from swath bathymetry and digitized charts with lower-resolution satellite-derived bathymetry for deeper waters. This dataset covers Australian waters and territories between 92°E and 172°E, and 8°S and 60°S.
An Excel program file for the Regional Integrated model of Climate and the Economy (RICE) used to create policy scenario runs. The model projects emissions, climate change, and damages under different scenarios and calculates carbon price paths. The file was authored by William D. Nordhaus of Yale University and represents the model state as of April 26, 2010.
Daily estimates of photic depth (secchi depth) for the Great Barrier Reef derived from MODIS satellite imagery between 2002 and 2015. The data was produced using a quasi-analytical algorithm developed for NERP projects and is now run by the Australian Bureau of Meteorology as part of the eReefs Water Quality Dashboard. The algorithm uses a Type II linear regression tuned with in situ measurements from AIMS and QDPI.
Three inter-linked datasets from a 2017-2018 project by the Griffith Institute for Tourism Research studying the natural beauty of the Great Barrier Reef. The data includes eye-tracking experiment outcomes, online survey results, and algorithm development data for automated image attractiveness assessment. The project is part of the NESP TWQ 3.2.3 initiative and is filed in the eAtlas enduring data repository.
A 260 MB collection of styled geospatial datasets designed as a worldwide basemap for web mapping applications. The baselayer combines global Natural Earth 2 data with high-resolution coastlines for Australia and Queensland, focusing on the Great Barrier Reef. It was created under the NERP TE 13.1 project and is filed in the eAtlas enduring data repository.
Geoscience Australia and the Australian Ocean Data Network provide a regional synthesis of inter-reefal seabed environments in the Great Barrier Reef Marine Park. The dataset integrates over 3,000 sediment samples from the MARS database with geomorphic feature data, offering the first such synthesis since the 1980s. It reveals regional trends and local-scale characteristics in sediment distribution, including gravel, sand, and mud concentrations across the shelf.
A research project from 2011-2014 developed spatially explicit land-use scenarios for the Great Barrier Reef World Heritage Area coastal zone up to the year 2035. The project, associated with the Australian Ocean Data Network, compiled spatial data on coastal ecosystems and socio-economic characteristics and used GIS-based land-use change modeling. It integrated governance analysis and a conservation planning approach to identify spatial priorities for protecting and restoring coastal ecosystems.
A seamless global daily soil moisture dataset generated from AMSR2 satellite data covers the period from January 1, 2013, to December 31, 2019. It contains 2553 global NetCDF4 files and was created by Qiang Zhang of Wuhan University. The dataset includes both original and reconstructed soil moisture data, validated through in-situ, time-series, and simulated missing regions methods.
May 2026 digital vector centroids for every live postcode in the United Kingdom. The dataset is produced by the Office for National Statistics and was last updated on 2026-06-17.
Mean maximum vitrinite reflectance of coals ranges from 0.55% to 0.93%, with estimated maximum burial temperatures between 83°C and 125°C. This dataset, from the Australian Ocean Data Network, presents a thermal maturity framework for Permian sandstone reservoirs in the Northern Denison Trough, Australia, based on vitrinite reflectance and Rock-Eval analysis. The study was part of the Queensland Government's ZeroGen CO2 Capture and Storage Project, evaluating reservoir degradation factors.
Two datasets from different domains designed for multi-hop reading comprehension, where models must combine evidence from multiple documents. The best model accuracy on an annotated test set is 54.5%, compared to human performance at 85.0%. The dataset was created by Johannes Welbl of University College London to investigate the limits of existing text understanding methods.
MRI data acquired on a Siemens Magnetom Verio 3T scanner demonstrates a streamlined quantitative BOLD technique for mapping brain oxygenation. The dataset includes images with varying R2′ weighting using an Asymmetric Spin Echo sequence and an inversion recovery preparation to null cerebrospinal fluid, grey matter, or white matter. It was created by Alan J. Stone at the University of Oxford in 2016.
Real-time energy and water consumption data for the UK Ministry of Housing, Communities and Local Government headquarters building, Eland House in London. The dataset includes daily electricity and gas consumption in CSV format, along with associated costs and carbon emissions tracked over different periods. The data is provided by the Ministry of Housing, Communities and Local Government and was last updated on 2026-07-08.