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Image classification, object detection, segmentation, face recognition, OCR, image generation, video understanding
14,079 datasets
Rocco Salvatore Calabrò conducted a secondary analysis of a public multimodal gait dataset comprising 138 able-bodied adults and 50 adults with stroke. The study derived side-aware gait-state representations from 11 waveform domains, including kinematics and surface electromyography, for 43 stroke patients. The analysis was published on figshare in May 2026.
A secondary analysis of a public multimodal gait dataset comprising 138 able-bodied adults and 50 adults with stroke. The study derived three interpretable gait states from kinematic and sEMG waveforms for a strict complete-case stroke cohort of 43 individuals. This dataset, authored by Rocco Salvatore Calabrò and shared under a CC-BY-4.0 license, presents a hypothesis-generating framework for neurorobotic state-representation design.
Rocco Salvatore Calabrò published a secondary analysis of a public multimodal gait dataset on figshare in 2026. The dataset comprises waveform data from 138 able-bodied adults and 50 adults with stroke, focusing on 11 waveform domains including sagittal kinematics and surface electromyography. The retained analysis organized 43 stroke patients into three distinct gait states based on fused kinematic and sEMG data.
Recorded Flood Outlines is a GIS layer showing historic flooding from rivers, the sea, groundwater, and surface water. Records began in 1946 when predecessor bodies to the Environment Agency started collecting detailed information. The dataset includes flood extents affected by overtopping, breaches, or blockages, but does not necessarily indicate internal property flooding.
A cumulative H2 potential of 20 mg/g TOC is reported from open system pyrolysis experiments on organic matter. The dataset, associated with a 2022 journal article, examines hydrogen generation across Paleozoic maturity suites from Australia and additional marine source rocks from Europe and the USA. It includes kinetic parameters constructed by subtracting hydrogen associated with hydrocarbon formation from total hydrogen.
Northern Ireland's Lagan River basin is the focus of this geospatial dataset, which identifies areas with high contributions to surface water flow. The data layer contains network contribution area scores derived from SAGA GIS analysis using inputs from CEH Land Cover 2007, Met Office average rainfall, and a 5-meter Digital Terrain Model. The 'High contribution' category is defined as areas scoring above +1 standard deviation from the mean of these calculated scores.
A dataset supporting a 2026 manuscript comparing Loss on Ignition and Elemental Analysis methods for quantifying organic and inorganic carbon. It includes measurements from certified reference materials and real-world agricultural soil and intertidal sediment samples from England. The data was authored by Robert Pemberton and shared under a CC-BY-4.0 license.
LBA-ECO ND-11 Organic Carbon Watershed Exports, Mato Grosso, Brazil: 2003-2004 quantifies litterfall production, lateral litter movement, and stream export of coarse particulate carbon from four small forested watersheds in southern Amazonia. The dataset, produced by NASA, reveals strong seasonal patterns with higher carbon deposition during the dry season and minimal stream export relative to total litterfall. Measurements include carbon concentration, mass per hectare, and correlations with streamflow across different landscape positions.
A systematic review of 58 studies examining the biological basis of unconscious processes. The review synthesizes evidence linking psychoneuroimmuneendocrine regulation and epigenetic modifications to implicit processing, based on a search of PubMed/MEDLINE, Web of Science, and Scopus from 1990 to 2024. The 80.9 KB PDF document was authored by Samuel Ruesga Mundo and last updated in May 2026.
Experimental results from 2026 evaluate a lightweight object detector for complex road scenes. The dataset, created by Yange Chen and shared under CC-BY-4.0, compares the proposed DSE-YOLO11 model against baselines on the RAD dataset. It likely contains quantitative performance metrics such as recall and mAP50, as well as model complexity figures like parameter count and GFLOPs.
5.5 KB of experimental configuration data supports a proposed lightweight object detector, DSE-YOLO11, designed for complex road scenes. The dataset, authored by Yange Chen and last updated in June 2026, contains results showing the model improves recall from 0.744 to 0.811 and mAP50 from 0.810 to 0.856 while maintaining 2.96M parameters and 7.1 GFLOPs.
DSE-YOLO11 improves recall from 0.744 to 0.811 and mAP50 from 0.810 to 0.856 on the RAD dataset, while maintaining 2.96M parameters and 7.1 GFLOPs. The dataset, authored by Yange Chen and last updated in June 2026, contains configuration details for this lightweight adaptation of YOLO11n designed for detecting traffic elements in complex road scenes. It is a 5.5 KB XLS file shared under a CC-BY-4.0 license on figshare.
A series of maps created in 2011 shows water monitoring stations across New South Wales. The maps categorize stations as current with significant data, current without significant data, or discontinued/moved as of March 2011. They incorporate licensed spatial data from NSW Spatial Services, Geoscience Australia, and WaterNSW.
Uganda's railway infrastructure, including lines and stations, exported from OpenStreetMap. The data is contributed by volunteers and its completeness varies, with urban areas likely being better mapped than remote regions. It was last updated on 2026-05-15 by the Humanitarian OpenStreetMap Team.
OpenStreetMap exports provide sea ports and ferry terminals for Uganda, tagged via `amenity`, `building`, or `port`. The Humanitarian OpenStreetMap Team (HOT) maintains this data, which was last updated on 2026-05-15. Completeness of mapping varies by region, with urban areas likely being more complete than remote areas.
OpenStreetMap data exports for Uganda include museums, galleries, theatres, places of worship, monuments, and historic sites. The Humanitarian OpenStreetMap Team (HOT) provides this data, last updated on 2026-05-15. Completeness varies by region, with urban areas likely being better mapped than remote ones.
OpenStreetMap exports provide a free, collaborative road network for Uganda, including motorways, residential streets, and trails. Completeness varies, with urban areas likely well-mapped and remote areas potentially incomplete. The Humanitarian OpenStreetMap Team (HOT) maintains this export, last updated on 2026-05-15.
OpenStreetMap export of health facilities in Uganda, compiled by the Humanitarian OpenStreetMap Team. The data includes locations tagged as hospitals, clinics, pharmacies, doctors, and dentists. It was last updated on 2026-05-15.
OpenStreetMap provides water features across Uganda, including rivers, streams, canals, lakes, and ponds. The Humanitarian OpenStreetMap Team (HOT) exports this data, which is useful for flood-risk modelling and watershed analysis. Completeness varies by region, with urban areas usually well-mapped and remote areas potentially incomplete.
Points of interest in Uganda exported from OpenStreetMap. The data includes public-facing amenities, shops, tourist attractions, and landmarks tagged via `amenity`, `shop`, `tourism`, or `man_made` keys. It was last updated on 2026-05-15 by the Humanitarian OpenStreetMap Team (HOT).