Loading...
Loading...
Text classification, translation, QA, summarization, dialogue, sentiment analysis, language modeling, text corpora
41,912 datasets
Geoscience Australia Data provides a detailed description of the Great Cumbung Swamp, the unique termination point of Australia's low-gradient Lachlan River. The dataset describes three distinct depositional environments, including a sinuous river channel up to 40 meters wide, a vast Phragmites marsh, and overflow areas with anastomosing channels. It explains the swamp's freshwater nature and how water loss through infiltration prevents the formation of a lake, causing the river to terminate.
The Murray Basin in southeastern Australia contains subsurface permeability barriers affecting groundwater flow. The dataset likely contains stratigraphic and sedimentological analyses from borelogs, including porosity estimates for the Geera Clay formation. It was published by Geoscience Australia Data and last updated on 2026-04-30.
Raw data underpinning a study on Signaling Lymphocytic Activation Molecule 1 (SLAMF1) in orchestrating innate immune responses against fungi. The dataset, shared by Lindsay Suarez Lau on figshare under a CC-BY-4.0 license, was last updated on 2026-05-28. It is a small dataset of 48.5 KB, stored in an XLSX file.
A 5.5 KB Excel file containing a simulation framework for modeling supply-chain state evolution under cascading disruptions and resilience interventions. The framework, developed by Job Agba Opue and last updated in May 2026, uses finite transformation semigroups to encode collapse conditions, equilibria, and redundancy. It is illustrated with examples from manufacturing, agricultural, and e-commerce logistics systems.
A 5.5 KB Excel file presents a framework using finite transformation semigroups to model supply-chain state evolution. The dataset, authored by Job Agba Opue and last updated in May 2026, likely contains analytical results and case studies for manufacturing, agricultural, and e-commerce logistics systems. It provides semigroup-theoretic criteria for analyzing collapse conditions, equilibria, and redundancy in networks.
A dataset supporting a framework using finite transformation semigroups to model supply-chain state evolution under cascading disruptions and resilience interventions. The data was authored by Job Agba Opue and last updated on 2026-05-28. The file is 5.5 KB in size and available in XLS format.
A theoretical framework and accompanying data model supply-chain state evolution under disruptions using finite transformation semigroups. The dataset, created by Job Agba Opue and last updated in May 2026, is a 5.5 KB Excel file illustrating the framework with examples from manufacturing, agriculture, and e-commerce logistics.
A 5.5 KB Excel file containing a simulation algorithm framework developed by Job Agba Opue. The framework uses finite transformation semigroups to model supply-chain state evolution under cascading disruptions and resilience interventions. It was last updated on May 28, 2026.
45 Science Data Set layers, including 8 geolocation and 37 geophysical parameters, provide aerosol measurements over the Asia-Pacific region. The dataset is produced by applying a special version of the MODIS Dark Target algorithm to observations from the Advanced Himawari Imager on the Himawari-8 satellite. It offers a 10-km spatial resolution at nadir and a 10-minute temporal cadence, yielding about 142 data granules per day during daylight hours.
A geospatial dataset describes land tenure, land use, and land cover for the entire state of Victoria, Australia, at the cadastral parcel level for the year 2016. It was created by the Spatial Sciences Group of Agriculture Victoria Research Division. The dataset is an ESRI feature class, with updates applied to land tenure and use from government and industry sources, while urban parcels from previous versions have been masked out.
A geospatial feature service mapping steep slope areas across the state of Connecticut. The data was derived from a 2023 Digital Elevation Model based on spring imagery and lidar capture and is provided by the State of Connecticut. It was created in 2026 and has an estimated update frequency of none.
Connecticut's landscape is covered by this geospatial dataset identifying areas with significant slope gradients. It was derived from the 2023 Digital Elevation Model based on Spring 2023 imagery and lidar capture and is provided by the State of Connecticut. The data includes two feature layers for analysis at 10-foot and 2-foot pixel resolutions.
Steep Slope 2 ft is a geospatial feature service from the State of Connecticut's Office of Policy and Management. It maps areas with significant slope gradients across the state, derived from a 2-foot per pixel Digital Elevation Model created from 2023 Spring imagery and lidar capture. The dataset includes attributes such as slope percentage category, municipality, and council of governments region.
A dataset validating de novo designed solid-binding peptides for polyethylene, created by Michael T. Bergman and last updated on May 22, 2026. It likely contains results from steered molecular dynamics and single-molecule force measurements. The data supports a machine learning and biophysical modeling approach for peptide discovery.
207,582 participants from the UK Biobank were analyzed over a mean follow-up of 12.65 years, with 455 incident Crohn's disease cases documented. The study by Na Zhao examines the association between energy-adjusted Dietary Inflammatory Index (E-DII) scores and disease risk. The data was last updated on 2026-04-29.
A 1.1 MB document compares ChatGPT-4o, Claude 3 Sonnet, and Gemini 1.5 Pro for extracting data from sepsis trial PDFs. Takehiko Oami authored this study, which was uploaded to figshare on April 29, 2026. Mean no-error proportions for background data extraction ranged from 81.6% to 92.4%, while outcome extraction accuracy was lower, ranging from 27.8% to 80.7%.
NASA's 1987 and 1989 Modular Multiband Radiometer (MMR) data provides a ground-truth baseline for calibrating airborne and satellite sensors. Radiance measurements from a stationary, near-lambertian panel were used to monitor solar insolation, cloud cover, and calculate reflectance factors for vegetation. This dataset was a core component of the First ISLSCP Field Experiment (FIFE), supporting atmospheric and biospheric remote sensing research.
Bass Strait and South-East Australia's wave climate is modeled at high resolution using WAVEWATCH III over a 40-year period. The dataset, produced by the Department of Energy, Environment and Climate Action, is validated against coastal buoys and shows a 5% increase in significant wave height and a shift in peak wave direction. Analyses reveal seasonal variations and correlations with the Southern Annular Mode.
447.3 MB of MATLAB simulation data generated by Xin Wang to investigate solar flare termination shocks. The data includes outputs for shock geometry, particle acceleration processes, and spectral features, supporting the creation of figures for a manuscript. The dataset was last updated on 2026-05-18.
NASA's AVIRIS-NG instrument captured 211 flight lines across North America during the 2023 STAQS campaign, from June 26 to August 15. A cluster matched filter algorithm processed radiance spectra to identify and delineate 177 distinct greenhouse gas plumes, comprising 74 methane and 103 carbon dioxide emissions. The data are provided as geospatial imagery in GeoTIFF and JSON formats.