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Image classification, object detection, segmentation, face recognition, OCR, image generation, video understanding
14,098 datasets
Experimental data from a study using Cre-lox mouse models to test the role of programmed cell death receptor-ligand 1 (PD-L1) in shock/sepsis-induced lung injury. The dataset includes survival rates, lung permeability measurements, and cytokine, chemokine, and angiopoietin levels from blood, bronchoalveolar lavage fluid, and lung tissue. Authored by Elizabeth W. Tindal and shared under a CC-BY-4.0 license, the data was last updated in June 2026.
Saichuan Cheng's dataset contains phenotypic traits automatically extracted from RGB images of cauliflower plants from seedling to harvest. The data includes plant canopy width, leaf area, and curd traits derived from instance segmentation models, with high consistency to manual measurements (R² > 0.90). The dataset was last updated on 2026-05-13.
RGB images of cauliflower from seedling to harvest were collected and processed using instance segmentation models. The dataset contains automatically extracted traits such as plant canopy width, leaf area, and curd diameter, with high consistency to manual measurements (R² > 0.90). It was created by Saichuan Cheng and last updated on 2026-05-13.
99.4% mask mAP50 was achieved by the YOLO12s-seg model for segmenting cauliflower plants and curds in sparsely planted images. This dataset contains phenotypic traits automatically extracted from RGB images covering the entire growth period from seedling to harvest. It was created by Saichuan Cheng and published on figshare under a CC-BY-4.0 license.
99.4% mask mAP50 was achieved for segmenting cauliflower plants and curds using the YOLO12s-seg model on RGB images from seedling to harvest. This dataset likely contains automatically extracted traits like plant canopy width, leaf area, and curd diameter, which showed high consistency with manual measurements (R² > 0.90). The data was published by Saichuan Cheng on figshare under a CC-BY-4.0 license.
Dorottya Koncz's data sheet analyzes reports from the European Union Safety Gate system between 2005 and 2023 concerning cosmetic products declared to be of natural origin. The document reports that 64% of flagged products contained unauthorized substances and 14% exceeded authorized limits. The analysis highlights the chemical and microbial risks in products marketed as natural.
A research document details an experiment on mitigating nitrogenous gas emissions during aerobic composting of vegetable waste. The study compares four treatments, including co-application of biochar and a microbial agent, and reports reductions in ammonia and nitrous oxide emissions. The document was authored by Shuangshuang Li and last updated in May 2026.
Experimental data from a study exploring the synergistic effects of biochar and microbial agents on nitrogen gas emissions during aerobic composting of tail vegetables. The dataset, authored by Shuangshuang Li and last updated in May 2026, compares four treatments: a control, single biochar, single microbial agent, and a combined application. Results indicate the combined treatment achieved the maximum reduction in cumulative NH₃ (78.76%) and N₂O (28.66%) emissions.
Between July and November 2025, plasma concentrations of interleukin-6 (IL-6), interleukin-8 (IL-8), interleukin-10 (IL-10), and interleukin-1β (IL-1β) were measured via flow cytometry from 728 healthy adults in Lianyungang, Jiangsu, China. Author Fumeng Yang established nonparametric reference intervals for these cytokines using the 95th percentile, following CLSI C28-A3 and WS/T 402–2024 standards. The dataset provides 90% confidence intervals for each cytokine's reference range.
Sixteen priority polycyclic aromatic hydrocarbons (PAHs) were quantified in water and sediment from the River Rwizi watershed in Uganda. The data includes concentrations for surface water, sediment, and wastewater, with sources identified as pyrogenic and ecological and human health risks assessed. The dataset was created by Grace Birungi and last updated in May 2026.
Benthic nutrient and gas fluxes, water column and sediment properties were studied in St. Georges Basin, a coastal lagoon in south-eastern Australia. The research, published via the Australian Ocean Data Network, investigates how diatoms influence nutrient and carbon cycles through their sinking and decomposition. Data collection occurred during late spring, revealing oligotrophic conditions and potential phosphorus limitation.
The MERLIN project dataset from the Environmental Information Data Centre comprises bi-weekly water chemistry measurements from peatland streams near Penicuik, Scotland, collected in 2024 and 2025. It includes concentrations of dissolved organic carbon, total dissolved nitrogen, particulate organic carbon, phosphorus species, and greenhouse gases. The data provides a baseline characterization before a planned restoration at the sampling site in 2026.
457,675 participant records from the UK Biobank study linking obesity classifications to major adverse cardiovascular events (MACE). The data, authored by Yohwan Lim and last updated in May 2026, was used to evaluate multi-organ dysfunction trajectories over consecutive 2-year periods against a composite endpoint of ischemic heart disease, stroke, and fatal cardiovascular disease.
94.7% [email protected] and 87.8% [email protected]:0.95 were achieved by the Elastic YOLO model on a clinician-annotated dataset of peripheral blood smear images. The dataset contains ablation study results for this object detection framework designed to identify red blood cells, white blood cells, and platelets. It was authored by Neha Margret Issac and last updated on 2026-05-12.
Neha Margret Issac published annotation statistics for a peripheral blood smear image dataset on 2026-05-12. The dataset supports the development of Elastic YOLO, a morphology-aware object detection model for red blood cells, white blood cells, and platelets. The model achieved a [email protected] of 94.7% and inference speeds up to 78 FPS on an NVIDIA RTX 4090 GPU.
A dataset from 2026 contains performance metrics for the Elastic YOLO object detection model on peripheral blood smear images. The model achieved a [email protected] of 94.7% and [email protected]:0.95 of 87.8% on clinician-annotated data, outperforming baseline models. The data, shared by Neha Margret Issac on figshare, supports research in automated hematology workflows.
Ten participants from different private-sector organizations in South Africa provided qualitative interview data on perceptions of gender-based violence and mobile app initiatives. The study employed a thematic analysis of virtual interviews conducted by Wendy Mothata. The findings were published on figshare under a CC-BY-4.0 license in May 2026.
Data Sheet 1 contains results from a study on phosphatase regulation of innate immunity in Caenorhabditis elegans. The dataset, authored by Jing Xie and last updated on 2026-06-01, details findings from a genome-wide RNAi screen of 166 phosphatase genes and a small-molecule screen identifying baicalin as an inhibitor of P. aeruginosa infection.
A research document from figshare details a study on negative immune regulation in Caenorhabditis elegans. The 5.7 MB DOCX file, authored by Jing Xie and last updated in June 2026, describes a genome-wide RNAi screen of 166 phosphatase genes to identify the checkpoint PTP-4. It includes results from yeast two-hybrid screening, Co-IP, mutagenesis, and a small-molecule screen identifying baicalin as an inhibitor.
A 2026 study by Elena Yunda investigates the role of Fe(III)-reducing microorganisms in dissolving synthetic basaltic glass. The dataset likely contains dissolution rates measured over 7- and 15-day incubations with the archaeon Pyrobaculum islandicum and bacterium Thermus scotoductus, compared to abiotic controls. Surface alteration data from vertical scanning interferometry and Fe(III) reduction assay results are also likely included.