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Text classification, translation, QA, summarization, dialogue, sentiment analysis, language modeling, text corpora
39,943 datasets
NASA's CDDIS provides daily, 10-second granularity satellite and receiver clock products derived from the International GNSS Service Real-Time Service. These products are combination solutions from multiple global analysis centers, covering GPS, GLONASS, Galileo, Beidou, and other systems since 2011. The dataset is generated from real-time data streams and formatted according to the RTCM SSR standard.
The Former Mines and Quarries Project (2022 to 2025) created an inventory of Mining and Quarrying Features such as Mine Shafts or Quarries. It includes a considerable number of new features collected from LIDAR analysis and was compiled by the Department of Energy, Environment and Climate Action. The dataset was last updated on 2026-05-18.
Eight spatial layers model land extent subject to coastal inundation due to projected sea level rise from 2009 to 2100. The dataset includes projections for 20cm, 47cm, and 82cm of sea level rise by 2040, 2070, and 2100, respectively, and combines these with 1-in-100 year storm tide levels. It was computed for the Victorian Government's Future Coasts Project by the Department of Energy, Environment and Climate Action.
14 years of monthly MODIS sea surface temperature data were used to generate this GIS layer mapping upwelling frequency. The data shows areas of persistent, semi-persistent, and seasonal upwelling along the southeastern Australian coast. It was produced by the Australian Ocean Data Network and is associated with a 2019 publication in Remote Sensing of Environment.
Geoscience Australia is leading the development of a National Seafloor Geomorphology (NSGM) mapping scheme. A workshop was held on October 29, 2018, with representatives from government, industry, and universities to gather feedback on the draft standard. The dataset is a summary PDF of the workshop discussions and feedback on the proposed classification vocabulary.
A sequence of stranded coastal barriers in south-east South Australia preserves a record of sea-level variations over the past 800,000 years. The dataset presents new single-aliquot regenerative-dose optically stimulated luminescence (SAR-OSL) ages for quartz extracts from these dunes, covering an extended age range of 0-250 ka. The data, sourced via the Australian Ocean Data Network, was last updated in June 2026.
A dataset from figshare, authored by Shuai Li and last updated on June 3, 2026, describes BNNC, a photomolecular glue designed for cancer treatment. The data likely contains results related to the synergistic degradation of Cyclin K and phototherapy in hypoxic tumor microenvironments. It is a small dataset, 226 bytes in size, shared under a CC-BY-NC-4.0 license.
Eight spatial layers model the extent of land subject to coastal inundation due to projected sea level rise from 2009 to 2100. The dataset includes projections for 20cm, 47cm, and 82cm sea level rise by 2040, 2070, and 2100, respectively, and combines these with storm tide scenarios. It was computed to support the Victorian Government's Future Coasts Project.
Victoria, Australia's coastal inundation dataset models land extent vulnerable to sea level rise and storm tides from 2009 to 2100. It consists of eight spatial layers projecting scenarios for 2040, 2070, and 2100, created by the Department of Energy, Environment and Climate Action. The dataset is intended for regional-scale assessments and is not suitable for property-level risk analysis.
Laura Bravo-Merodio published mediation analysis results on figshare in June 2026. The 5.5 KB XLS file contains results from a study modeling interactions between education, neurobiological features, and cognitive outcomes in the UK Biobank cohort. The analysis used machine learning and mediation analysis to test a hypothesis about the noradrenergic system's role in cognitive reserve.
A 2022 cross-sectional online survey collected responses from 678 trained adult laypeople. The dataset likely contains responses measuring perceived barriers, attitudes, subjective norms, perceived behavioral control, and intention to perform Basic Life Support, analyzed using structural equation modeling. It was created by Victor C.W. Tam and shared under a CC-BY-4.0 license.
mas020326 is a dataset containing responses from three AI models (ChatGPT, Gemini, Perplexity) to 18 keywords related to Myofascial Pain Syndrome. The dataset includes scores from six readability indices and four quality/reliability scales, generated for a study comparing AI-generated medical content. The dataset was authored by Yüksel Erkin and last updated in June 2026.
Strain data from a study comparing Digital Image Correlation (DIC) measurements with Finite Element Analysis (FEA) predictions for a prosthetic socket liner. The dataset includes FEA and DIC strain data and an FEA model input file, created by Mohammadreza Freidouny and shared under a CC0 license. It was last updated on 2026-05-22.
A blinded dataset of 147 carbonyl–olefin metathesis reactions underpins a machine learning framework for predicting catalyst effectiveness. The dataset, curated by Zi-Hao Li and shared on figshare in 2026, includes quantum-derived descriptors and reaction outcomes. It supports models achieving high accuracy (R² ≈ 0.92) and identifies key reactivity drivers like catalyst HOMO energy.
147 blinded carbonyl–olefin metathesis reactions curated by Zi-Hao Li provide a benchmark for catalyst and substrate prediction. The dataset underpins a machine learning framework achieving high accuracy (R² ≈ 0.92) and includes quantum-derived descriptors for mechanistic interpretation. It was last updated on figshare in May 2026.
Global field measurements of Leaf Area Index (LAI) compiled from over 300 scientific literature sources. This dataset supports the development and validation of MODIS satellite products by providing ground-truth LAI values for natural, semi-natural, and some crop ecosystems. It consists of a spreadsheet table and an extensive bibliography.
Twenty-six NASA ER-2 flights collected Level 1B multispectral radiance data across the southwestern US in Spring 2024 for the Geological Earth Mapping Experiment. The MASTER instrument captured 50 spectral bands from visible to thermal infrared wavelengths at approximately 50-meter spatial resolution. Derived Level 2 products include land surface temperature and emissivity maps for five thermal infrared bands.
Ongoing data collection from the MISR instrument on NASA's Terra satellite provides a radiometric camera-by-camera cloud mask product. It classifies scenes as clear or cloudy and includes a new parameter for detecting dust over the ocean, supporting atmospheric and surface studies. The data is generated by the MISR Product Generation Executable (PGE) 13 and is part of a broader suite of products monitoring aerosols, clouds, and land surface cover.
Victoria, Australia's coastal inundation dataset contains eight spatial layers modelling land subject to flooding from projected sea level rise and 1-in-100-year storm tides from 2009 to 2100. The data supports the Victorian Government's Future Coasts Project and is intended for regional-scale assessments at approximately 1:75,000 scale. It is not suitable for property-level risk analysis.
Najoua Assila authored a 260.4 KB PDF document published on figshare under a CC-BY-4.0 license on 2026-05-28. The document investigates the relationship between the Kinematic Theory of rapid human movement and optimal control theory, analyzing velocity profile lognormality. It constructs a composite cost function and tests predictions using an arm model and experimental data from one participant performing 29 fast arm extensions.