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Text classification, translation, QA, summarization, dialogue, sentiment analysis, language modeling, text corpora
49,416 datasets
Predictions of dominant habitats were completed as part of a report funded by the NESP Marine & Coastal Hub. The modelling contains data from stereo Baited Remote Underwater Video and panoramic drop camera, and was completed using the FSS-GAM package in R. Predictions are at two different scales and resolutions, one using a 250 metre resolution bathymetry grid and the other using a 5 metre resolution multibeam survey.
NERP TE Project 2.3 is a biodiversity and monitoring dataset for Torres Strait coral reefs, established by the Australian Institute of Marine Science (AIMS) and the Australian Ocean Data Network. The project conducted baseline and repeat surveys from 2011 to 2014 to document coral condition and factors like disease and bleaching. It also established an early warning system using real-time environmental sensors and temperature loggers at up to 15 sites.
Kamitani Lab provides preprocessed fMRI data and image features from the Horikawa & Kamitani (2017) study on generic decoding of seen and imagined objects. The dataset includes data from five subjects, processed with both SPM5 and fMRIPrep pipelines, and is stored in the BData format for use with the Brain Decoder Toolbox for Python. It is a key resource for research at the intersection of neuroscience, computer vision, and machine learning.
212 samples from the Ostrau profile and 269 samples from the Gleina profile were collected between 2009 and 2010 for grain-size analysis. The data consists of 4,853 raw granulometric measurement files, prepared and measured at the GFZ in Potsdam using a laser scattering particle size analyzer. This dataset was compiled by Sascha Meszner of Technische Universität Dresden, with samples selected in 2015 from late Pleistocene loess-paleosol sequences.
JRC-EU-TIMES is a database of input files for a European energy system model designed to analyze the role of technologies and innovation in meeting energy and climate policy objectives. The dataset contains synchronized model versions and input Excel files owned by the European Commission's Joint Research Centre (JRC). It requires third-party software, including VEDA for data handling and GAMS for optimization, while the core TIMES model code is separately available from ETSAP.
New South Wales Roads and Maritime Services commissioned a trip generation and parking demand survey and analysis of Car-Based High Density Residential buildings. The work was undertaken by Bitzios Consulting to provide updated data, as previous studies focused on sites near high-capacity public transport. The dataset likely contains survey results and analysis comparing trip and parking generation in car-dependent developments versus public transport-oriented centers.
Spatial sound-scene recordings for sound event localization and detection, developed for the DCASE 2021 Challenge. The dataset contains sound events spatialized using real room impulse responses from multiple rooms, delivered in both microphone array and first-order Ambisonics formats. It is the third iteration from Tampere University, introducing more challenging conditions like a maximum polyphony of 3 target events and directional interference events.
Tampere University created the TAU-NIGENS Spatial Sound Events 2021 dataset for the DCASE 2021 Challenge. It contains multiple spatial sound-scene recordings with sound events spatialized using real room impulse responses from various rooms. The dataset introduces more challenging conditions than previous iterations, including a maximum polyphony of 3 target events and the inclusion of directional interference events.
Five 2D tomographic training phantoms with full angular data, designed for the Helsinki Tomography Challenge 2022. The dataset contains pre-processed sinograms and metadata for plastic phantoms with a 7 cm diameter, created by Alexander Meaney at the University of Helsinki. It includes example reconstructions and segmentations to facilitate algorithm development for limited-angle computed tomography.
Barnet Council's Municipal Recycling & Waste Strategy outlines five technology-related assumptions for future planning. The assumptions likely contain text-based evidence and reasoning supporting the strategy. The London Borough of Barnet authored this document, which was last updated on July 8, 2026.
A register maintained by the City of Bradford Metropolitan District Council to promote sites for residential development. The data likely identifies land and buildings suitable for new homes to encourage reuse and stimulate regeneration. The dataset was last updated on 2026-07-08 and is published under a CC-BY-4.0 license.
Australia's telecommunications infrastructure data from a Statutory Infrastructure Provider. The dataset contains anticipatory notices for 21 project areas where fiber-to-the-premise (FTTP) networks are to be installed, with project-specific completion dates ranging from 2024 to 2031. It was published by the Australian Communications and Media Authority and last updated in July 2026.
Roads and Maritime Services NSW commissioned a traffic generation study for drive-through coffee outlets, a development type not covered in existing planning guides. The report likely contains trip generation and parking demand data collected to address the unique business model of beverage-focused outlets with limited seating. Bitzios Consulting produced this analysis for inclusion in the RMS Guide to Traffic Generating Developments.
NSW Government's environmental impact statement working paper details heritage observations for a proposed road bypass near Alstonville/Wollongbar. The report identifies known archaeological sites from multiple heritage registers and provides survey results and significance assessments. It was last updated on 2026-06-25.
Eight water mass contributions and remineralization estimates derived from 2018 Southern Ocean CTD data. This dataset contains input parameters like temperature, salinity, and nutrients, and output parameters from an extended optimum multiparameter analysis. Data is provided by the Australian Ocean Data Network and is referenced to depth and geographical position.
The Great Barrier Reef World Heritage Area was surveyed at 1,429 sites from 10ºS to 25ºS. Observations of seagrass presence, species, and biomass were interpolated using statistical models, suggesting 40,000 km² of the seabed has a probability of seagrass presence. This dataset, part of the Reef Atlas project, provides gridded probability maps for four main Halophila species.
Subtropical to tropical Atlantic and Indo-Pacific Ocean basins are the source for this taxonomic dataset describing six novel species of the red algae genus Ethelia. The data is based on COI-5P, LSU rDNA, and rbcL sequence data and morphological characteristics, published by Parks Australia. The dataset record was last updated on 2026-07-16.
A single polygon defines the coastal zone considered most appropriate for investigating conservation planning impacts on the Great Barrier Reef. The zone was defined through stakeholder workshops and includes terrestrial areas up to five kilometres from the coast or the 10-metre AHD contour, plus marine areas influenced by secondary flood plumes. This dataset, hosted by the Australian Ocean Data Network, is intended to support spatial planning of coastal development to protect the GBR World Heritage Area.
Annual financial statements prepared by the Office of the Chief Financial Officer of Global Affairs Canada. The statements are prepared as of March 31st each year following the GC 4500 Directive on Accounting Standards. They provide an accounting of the department's administration of public financial affairs and resources for external and internal users.
Temperature loggers deployed at 15 sites across Torres Strait measure sea water temperature at two depths per site. The data provides a historical record for understanding temperature thresholds for coral bleaching and calibrating satellite measurements. The dataset, part of the Australia-wide Sea Temperature Observing System, is managed by the Australian Ocean Data Network and was last updated in July 2026.