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Image classification, object detection, segmentation, face recognition, OCR, image generation, video understanding
14,108 datasets
All contributions made by donors to the Central Emergency Response Fund (CERF). The dataset is provided by the Central Emergency Response Fund organization and was last updated on 2026-06-04. CERF receives support from United Nations Member States, observers, regional governments, international organizations, and the private sector.
97.6% accuracy was achieved by the LSTM-CNN-CatBoost-GSSSA model in recognizing external disturbances on urban buried optical cables. This 5.5 KB XLS file contains experimental results comparing the hybrid model against SVM, CNN, and other baselines. Author Xiaojuan Chen uploaded the evaluation data to figshare under a CC-BY-4.0 license in May 2026.
Experimental results for a hybrid LSTM-CNN-CatBoost-GSSSA model designed to recognize external disturbances on urban All-Dielectric Self-Supporting optical cables. The dataset, shared by Xiaojuan Chen on figshare, contains evaluation metrics showing the model achieved 97.6% accuracy. The file was last updated on 2026-05-04.
Experimental results for a hybrid LSTM-CNN-CatBoost-GSSSA model designed to recognize external disturbances on underground optical cables. The dataset, shared by Xiaojuan Chen on figshare under CC-BY-4.0, contains model performance metrics, including an accuracy of 97.6% as reported in the description. The file was last updated on 2026-05-04.
Transparency International publishes scores and rankings for countries and territories based on perceived public sector corruption. Scores range from 0 (highly corrupt) to 100 (very clean), derived from assessments by experts and business executives. The dataset was last updated on 2026-05-21.
Surficial marine sediment samples collected from over 350 locations across Australia's western, northern, and eastern continental margins between 2007 and 2014. Parameters analyzed include organic matter source, concentration, and bioavailability indicators. The dataset was compiled by researchers and published in Marine and Freshwater Research in 2017.
A 20-year return period flood hazard zonation for 25 population centers in Colombia, showing existing threats classified as low, medium, or high. The dataset is published by www.datos.gov.co and was last updated on 2026-05-22 05:49:05. It contains geospatial and administrative attributes for each area, including municipality and department.
fNIRS based dataset for motor task contains functional near-infrared spectroscopy recordings from 20 participants performing a treadmill-based walking task. The dataset was stored in the standardized Shared Near Infrared File Format (.snirf) and authored by Hamza Shabbir Minhas. It was last updated on 2026-05-31.
Colorado Department of State records list officers, directors, and professional fundraisers for registered charitable organizations. The dataset includes 22 columns such as entityId, fein, name, title, and address details for each associated person. Data is provided by the Colorado Department of State Division of Charity and was last updated on May 29, 2026.
A three-year field trial (2021-2023) conducted at ICAR-Directorate of Onion and Garlic Research in Pune, India, evaluated four organic formulations for managing anthracnose-twister and Stemphylium blight in onion. The dataset likely contains measurements of plant growth, disease severity, yield, and economic metrics comparing the formulations across Kharif and Rabi seasons. It was authored by Ram Dutta and is shared under a CC-BY-4.0 license.
Reza Shiroodi reports the discovery and optimization of a series of cluster of differentiation 38 (CD38) small molecule inhibitors. The dataset, last updated on 2026-05-25, includes results from a virtual ligand screening campaign leading to optimized compounds with pharmacokinetic profiles and in vivo target engagement data. The data is shared under a CC-BY-NC-4.0 license via figshare.
2239 publications on colorectal cancer organoids from the Web of Science and Scopus databases, published between 2010 and 2025. The dataset was created by Xiaoyi Zhang and includes bibliometric analyses of publication trends, countries, institutions, journals, authors, and thematic evolution. It was last updated on May 18, 2026.
Supplementary file 1 from a study assessing the efficacy of biological control agents against Cladosporium on raspberry. The research screened five commercially available biological control organisms in plate assays and tested three in field applications. The dataset was authored by Lauren Helen Farwell and last updated on 2026-05-11.
Five commercially available biological control organisms significantly inhibited Cladosporium cladosporioides mycelial growth in laboratory plate assays. The tested Trichoderma sp. was the most effective, reducing Cladosporium development on raspberry fruit by 28% preventatively and 27% curatively in field studies. This dataset, authored by Lauren Helen Farwell and last updated in 2026, presents results from dual-culture plate assays and field applications.
Table 2_Assessing the efficacy of biological control agents in plate assays and field applications to control Cladosporium on raspberry.xlsx contains data from a study on managing Cladosporium cladosporioides in raspberry crops. The dataset, authored by Lauren Helen Farwell and last updated in May 2026, reports results from dual-culture plate assays and field trials evaluating five commercially available biological control organisms. The research found that all tested agents significantly inhibited fungal growth, with a Trichoderma sp. being the most effective both preventatively and curatively.
Measurements from Colombia's National Spectrum Agency monitor public exposure to electromagnetic fields between 100 kHz and 8 GHz. Each record corresponds to a six-minute RMS average of power density, collected by isotropic probes at monitoring stations. The data is published by www.datos.gov.co and was last updated on May 18, 2026.
A geospatial map of flood flow velocities indicating speed ranges for a 50-year return period across 36 populated centers in Colombia, created at a 1:2000 scale. The data is provided by www.datos.gov.co and was last updated on 2026-05-22. The raw data is made available for transparency and risk management support under the terms of Colombia's Law 1712 of 2014.
IDEAM provides flood hazard zonation maps for a 2-year return period across 79 populated centers in Colombia. The data classifies areas into low, medium, or high flood threat levels. The last update was recorded on 2026-05-22 05:47:13, though the description states updates are performed occasionally.
A dataset used to train and validate a large-kernel convolutional neural network for classifying eight distinct dynamical states of intracellular calcium ions under realistic noise conditions. The synthetic training data was generated using chemical Langevin equations, and validation achieved 96.8% accuracy on experimental data from pancreatic β-cells and other cell lines. The dataset is 5.5 KB in size, authored by Jaesung Choi, and last updated on 2026-04-29.
NASA ATom Mission data provides atmospheric concentrations of separated ions from inorganic and organic species, measured by a High-Resolution Aerosol Mass Spectrometer (HR-AMS) during flight campaigns. The dataset includes chemically speciated submicron non-refractory particulate mass at one-second and 60-second resolution, as well as size distribution data at 60-second resolution. Measurements were collected from all four ATom campaigns via impaction on a vaporizer at 600°C, followed by electron ionization and time-of-flight mass spectral analysis.