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General ML benchmarks, tabular data, AutoML, recommendation systems, anomaly detection, evaluation suites
168,146 datasets
Qatar National Library provides a high-resolution digital master copy of manuscript HC.MS.01605, which is Part 16 of the Quran. The 3.1 GB file is available under a CC0 1.0 license. The record was last updated on May 20, 2026.
Geoscience Australia's Science Principles document outlines the six principles guiding the agency's scientific activities. The principles are embedded into long-term strategic planning and day-to-day operations to ensure outputs meet client needs and provide trusted leadership. The document was last updated on 2026-04-30.
Qatar National Library provides a high-resolution digital master copy of manuscript HC.MS.01606, containing Part 17 of the Quran. The 3.1 GB dataset is available as a ZIP file under a CC0 1.0 Public Domain Dedication license. The record was last updated on 2026-05-20.
A 3.2 GB high-resolution digital master copy of manuscript HC.MS.01610 from the Qatar National Library Heritage Collection. The dataset contains Part 21 of the Quran and is provided by Qatar National Library under a CC0-1.0 license. The files were last updated on May 20, 2026.
A two-speaker dataset manually aligned at the phoneme level, providing ground truth for phonetic alignment research. It contains 200 instances from both a male and a female speaker. The dataset was created by falabrasil and has been used as ground truth in multiple academic papers from 2016 to 2022.
A 3.6 GB high-resolution digital master copy of manuscript HC.MS.01611 from the Qatar National Library Heritage Collection. The dataset contains part 22 of the Quran and was published by Qatar National Library under a CC0 1.0 license. The record was last updated on May 20, 2026.
A high-resolution digital master copy of manuscript HC.MS.01608 from the Qatar National Library Heritage Collection. The dataset is a 3.5 GB ZIP file containing the nineteenth part (Juz') of the Quran. It was published by Qatar National Library under a CC0 1.0 license and last updated in May 2026.
A 3.5 GB high-resolution digital master copy of manuscript HC.MS.01612 from the Qatar National Library Heritage Collection. The dataset, released under a CC0 1.0 license, contains the twenty-third part of the Quran. It was last updated on May 20, 2026, by Qatar National Library.
A high-resolution digital master copy of manuscript HC.MS.01614 from the Qatar National Library Heritage Collection. The 3.2 GB dataset is provided by Qatar National Library under a CC0 1.0 license and was last updated in May 2026. It represents the twenty-fifth part (Juz') of the Quran.
A 3.0 GB high-resolution digital master copy of manuscript HC.MS.01613 from the Qatar National Library Heritage Collection. The dataset contains part 24 of the Quran and is provided under a CC0 1.0 public domain dedication. It was last updated on May 20, 2026.
A 3.4 GB high-resolution digital master copy of manuscript HC.MS.01609 from the Qatar National Library Heritage Collection. The dataset contains the twentieth part (Juz' 20) of the Quran and is provided under a CC0 1.0 license. It was last updated on May 20, 2026, by Qatar National Library on the figshare platform.
3.5 GB high-resolution digital master copy of manuscript HC.MS.01617 from the QNL Heritage Collection. The dataset is provided by Qatar National Library under a CC0 1.0 license and was last updated in May 2026. It contains a digitized version of the 28th part of the Quran.
Hashim Hussain published results from applying SMOTE and 5-fold cross-validation to selected datasets. The dataset is a 5.5 KB Excel file available under a CC-BY-4.0 license. It was last updated on May 28, 2026.
5.5 KB of detailed indicators for five-fold cross-validation, authored by Wen Sun. The dataset was last updated on May 28, 2026, and is available in XLS format under a CC-BY-4.0 license.
Sentinel-6A Michael Freilich's Advanced Microwave Radiometer provides validated geophysical data with a 60-day latency for correcting satellite altimetry measurements. This Level 2 Non-Time Critical product includes surface type, wind speed, water vapor, and brightness temperature, interpolated to match the Poseidon-4 SAR altimeter's sampling intervals. Its parameters are analogous to those in the Jason-3 GDR product, supporting continuity in ocean observation.
A high-resolution digital master copy of manuscript HC.MS.01619 from the QNL Heritage Collection. The dataset is a 3.4 GB ZIP file containing the thirtieth part of the Quran. It was published by Qatar National Library under a CC0-1.0 license and last updated on May 20, 2026.
Sentinel-6A Michael Freilich satellite data provides reprocessed Level 2 low-resolution non-time-critical altimetry from its Poseidon-4 SAR instrument. The dataset contains geophysical parameters like Sea Surface Height (SSH), Sea Surface Height Anomalies (SSHA), Significant Wave Height (SWH), and wind speed, delivered at 1 Hz and 20 Hz sampling rates. This product is analogous to the Jason-3 GDR and includes altimeter range, orbital altitude, time, water vapor, and various corrections.
Qatar National Library provides a high-resolution digital master copy of manuscript HC.MS.01616, part 27 of the Quran. The dataset is a 3.4 GB ZIP file published under a CC0-1.0 license. It was last updated on May 20, 2026.
Sentinel-6A Michael Freilich's Poseidon-4 SAR altimeter provides low-resolution, non-time-critical sea surface topography data with a 60-day latency. This L2P product includes derived geophysical sea-state variables like significant wave height and wind speed, processed with environmental corrections from the AMR-C instrument. Its data structure is analogous to the Jason-3 GDR product, offering continuity for long-term ocean climate records.
Sentinel-6A Michael Freilich's Poseidon-4 SAR altimeter provides high-resolution, non-time-critical sea surface topography data with a 60-day latency. This L2P product includes derived geophysical sea-state variables like significant wave height and wind speed, corrected for environmental factors by the AMR-C instrument. Its data structure is analogous to the Jason-3 GDR product, offering continuity for long-term ocean climate records.