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Text classification, translation, QA, summarization, dialogue, sentiment analysis, language modeling, text corpora
46,168 datasets
A multivariable logistic regression analysis investigating sire risk factors for Leishmania venereal transmission in dogs. The dataset was created by Kayla R. Duxbury and last updated on May 4, 2026. It is a small dataset of 5.5 KB, stored in an XLS file, and includes 28 missing observations due to incomplete diagnostic data.
Koki Tsuda's Jupyter notebook contains the code used to reproduce supplementary analyses, including sensitivity analyses, robustness checks, and the generation of supplementary figures and tables. The file is 161.1 KB in size and was last updated on 2026-05-04. It is licensed under CC-BY-4.0.
A Jupyter notebook file containing the computational code used to reproduce the main analyses for a manuscript. The 2.8 MB file includes data preprocessing, statistical analyses, and the generation of main figures and tables. It was authored by Koki Tsuda and last updated on May 4, 2026.
Sentinel-5P's TROPOMI instrument is a hyperspectral spectrometer with a 108-degree field of view, measuring ultraviolet to shortwave infrared light. Its Level-1B product provides calibrated radiance and irradiance data from the shortwave infrared module, processed by the Royal Netherlands Meteorological Institute. This dataset supports atmospheric science by delivering fundamental measurements for deriving trace gas concentrations.
Remote Sensing Systems generates this dataset of 3-day averaged ocean surface parameters using a unified algorithm applied to Special Sensor Microwave/Imager (SSM/I) data from the DMSP F8 satellite. The product provides simultaneous retrievals of ocean wind speed, atmospheric water vapor, cloud liquid water, and rain rate. The Global Hydrology Resource Center reformats the original binary data into netCDF files as part of NASA's MEaSUREs Program.
Satellite-derived daily grids provide ocean surface wind speed, atmospheric water vapor, cloud liquid water, and rain rate. Data is generated by Remote Sensing Systems using a unified physical algorithm developed over 20 years and reformatted into netCDF by NASA's Global Hydrology Resource Center. The dataset extends a long-term time series through careful intercalibration of SSM/I and SSMIS sensor data.
Ocean wind speed, water vapor, cloud water, and rain rate data retrieved from the Special Sensor Microwave/Imager (SSM/I) on the DMSP F14 satellite. Remote Sensing Systems produced this dataset using a unified, physically based algorithm refined over 20 years, with SSMIS data intercalibrated to extend the time series. The Global Hydrology Resource Center reformatted the original binary data into daily netCDF products for distribution.
Remote Sensing Systems provides monthly averaged ocean and atmospheric data derived from the DMSP F11 satellite's SSM/I sensor. The dataset includes retrievals for ocean wind speed, atmospheric water vapor, cloud liquid water, and rain rate, generated using a unified algorithm refined over 20 years. Data is reformatted into netCDF by NASA's Global Hydrology Resource Center as part of the MEaSUREs Program.
Duurzaam in de buurt is a report presenting results from additional questions appended to the 2008 Leefbaarheid en Veiligheid (Livability and Safety) survey in Groningen, Netherlands. The extra questions focus on the economical use of resources. The report was authored by M. van Teerns from the Municipality of Groningen's Research and Statistics department.
Remote Sensing Systems generates this dataset using a unified algorithm refined over 20 years to retrieve four key ocean-atmosphere variables simultaneously. The Global Hydrology Resource Center reformats the binary data into netCDF files for the DMSP F16 satellite. This product is part of NASA's MEaSUREs Program and extends a critical long-term time series.
A Late Cambrian trilobite assemblage from the Eureka Formation in northern Victoria Land, Antarctica. The paper describes seven determined trilobite taxa and discusses its biochronological position relative to the Idamean and Franconian stages. The data is provided by the Australian Ocean Data Network and was last updated in April 2026.
Heavy mineral data and quartz-feldspar-lithic (Q-F-L) fragment statistics from the Huoshiling and Denglouku Formations. The dataset includes a pie chart for heavy minerals and a ternary diagram for Q-F-L content, compiled by Ke Wang and last updated in May 2026. It is a 476.6 KB ZIP file licensed under CC-BY-4.0.
Data generated for the study "Generative AI for Surveys on Payment Apps: AI Views on Privacy and Technology" using ChatGPT. The dataset was authored by Koji Takahashi and last updated on June 27, 2026. Its specific scale and structure are not detailed in the available metadata.
Daily tracking data files from the DORIS receiver onboard the SWOT satellite, available with a latency of less than two days. The data are generated using signals from DORIS ground beacons and are used for precise orbit determination of the SWOT spacecraft. This includes computing the precise orbit ephemeris (POE) and medium-accuracy orbit ephemeris (MOE) required for SWOT data processing.
UltraBeacon is a high-quality English question-answering dataset prepared by Dl26 for text-generation and chat-style model training. The dataset is converted from TriviaQA into a consistent assistant format with prompt, response, and messages fields. It is intended for supervised fine-tuning of general assistant models that need strong question answering behavior.
UltraAtlas is a high-quality English question-answering dataset prepared by Dl26 for text-generation and chat-style model training. The dataset is converted from SQuAD v2 into a consistent assistant format with prompt, response, and messages fields. It is intended for supervised fine-tuning of general assistant models that need strong question answering behavior.
UltraBeacon is a high-quality English question-answering dataset prepared by developer Dl26. The dataset is converted from TriviaQA into a consistent assistant format with prompt, response, and messages fields. It is intended for supervised fine-tuning of general assistant models that need strong question answering behavior.
Feeding guild counts aggregated from species-level infauna data collected during a 2008 marine survey on the Lord Howe Island shelf. Geoscience Australia acquired the data using the Research Vessel Southern Surveyor, merging bathymetry to cover a 1034 sq km grid. The underlying species data was aggregated on October 27, 2010.
18.9 MB of experimental data in XLSX format, supporting research on photoelectrochemical water splitting. The dataset was authored by Mengya Yang and last updated on 2026-05-14. It likely contains measurements related to photogenerated hole dynamics in modified hematite photoanodes.
Five distinct acoustic seabed facies were defined for the Great Australian Bight based on 3.5kHz echo-sounding and seismic profiles from a 2000/2001 study. This geospatial dataset, produced by Geoscience Australia, delineates four major geomorphological features—continental shelf, terraces, slope, and rise—to support regional marine planning. The data captures the distribution of layered, disturbed, and topographically varied sediments across the shelf, slope, and abyssal plain.