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Image classification, object detection, segmentation, face recognition, OCR, image generation, video understanding
14,444 datasets
Geoscience Australia Data presents chemical and mineralogical data for four ferromanganese samples collected in 2026. The samples, including nodules and crusts up to 20 cm thick, were dredged and cored from the Dampier Ridge and Lord Howe Rise off eastern Australia at depths between 1549 and 2700 meters. The data includes measurements of Mn:Fe ratios and metal content (Ni, Cu, Co) for hydrogenetic deposits.
An evaluation dataset for optical character recognition and document processing tasks. The dataset is hosted on Hugging Face by the author himalaya-ai and was last updated on June 2, 2026. It appears to be a proxy for testing digitization, KYC-like numeric field extraction, and RAG extraction checks.
A benchmark for evaluating Optical Character Recognition (OCR) systems on Devanagari script. The dataset is hosted on Hugging Face by the author himalaya-ai and was last updated on June 2, 2026. It likely contains a mix of printed pages, digits, word crops, and handwriting samples.
Official data from the Canada Revenue Agency on charities registered under the Income Tax Act. The dataset includes financial information, activities, and director details compiled from mandatory annual T3010 returns. It reflects data as provided by the organizations and was last refreshed on 2026-04 09.
The Canada Revenue Agency's 2021 List of Charities provides official data on organizations registered to issue tax-deductible donation receipts. Information is compiled from mandatory annual T3010 returns submitted by each charity, covering financial details, activities, and director information. The dataset was last refreshed on the platform on April 9, 2026.
The 2022 list provides data on Canadian charities registered under the Income Tax Act and eligible to issue official donation receipts. It is compiled from the annual T3010 returns charities submit to the Canada Revenue Agency, reflecting data as provided by the organizations. The dataset includes details on a charity's financial information, activities, and directors or like officials.
A list of Canadian charities registered under the Income Tax Act and eligible to issue official donation receipts. The data includes details on a charity’s financial information, activities, and directors/officials, compiled from the annual T3010 returns submitted to the Canada Revenue Agency. The dataset reflects data as provided by the organizations and was last refreshed on the date published.
The List of charities from the Canada Revenue Agency presents data on Canadian charities registered under the Income Tax Act. The dataset includes details on a charity’s financial information, activities, and directors/like officials, compiled from the annual T3010 Registered Charity Information Return. Data was last refreshed on 2026-04-09.
The Canada Revenue Agency compiles this list from mandatory annual returns filed by all registered Canadian charities. Data includes financial information, activities, and details on directors or like officials for organizations eligible to issue official donation receipts. The dataset was last refreshed on 2026-04 09.
Canada Revenue Agency data on charities registered under the Income Tax Act, eligible to issue official donation receipts. The dataset includes financial information, activities, and director details compiled from mandatory annual T3010 returns. Data was last refreshed on the platform on 2026-04 09.
99 Ugandan children aged 3–12 years were prospectively followed in 2015–2016, with plasma sampling at 2, 6, 12, and 24 weeks after initiating efavirenz-based antiretroviral therapy. Sandra Soeria-Atmadja authored this dataset quantifying efavirenz and its metabolites to explore associations with CYP2B6 genotypes and central nervous system adverse effects. The dataset was last updated on 2026-04-24.
Supplementary file 5 from a 2015-2016 study by Sandra Soeria-Atmadja, published on figshare. The dataset likely contains plasma metabolite profiles and genotype data for 99 Ugandan children aged 3-12 years, collected over 24 weeks after initiating efavirenz-based antiretroviral therapy. It was last updated on 2026 04 24.
A prospective study of 99 Ugandan children aged 3-12 years initiating efavirenz-based HIV therapy in 2015-2016. The dataset likely contains plasma concentrations of efavirenz and its metabolites, CYP2B6/CYP2A6 genotypes, and CNS adverse effect assessments collected over 24 weeks. It was authored by Sandra Soeria-Atmadja and shared under a CC-BY-4.0 license.
99 Ugandan children aged 3–12 years were prospectively followed from 2015–2016 to study the antiretroviral drug efavirenz. Plasma samples at 2, 6, 12, and 24 weeks post-treatment were analyzed for EFV and its metabolites using liquid chromatography high-resolution tandem mass spectrometry. The study, authored by Sandra Soeria-Atmadja, links metabolite ratios and CNS symptoms to CYP2B6 metabolizer phenotypes.
A 2015–2016 prospective study of 99 ART-naïve Ugandan children aged 3–12 years, quantifying efavirenz and its metabolites in plasma over 24 weeks. The dataset, authored by Sandra Soeria-Atmadja and shared under CC-BY-4.0, includes genotyping for CYP2B6 and CYP2A6 SNPs and assessment of central nervous system adverse effects. It represents the first study of efavirenz metabolites in a pediatric population.
A 2015–2016 prospective study followed 99 ART-naïve Ugandan children aged 3–12 years, with plasma sampling at 2, 6, 12, and 24 weeks after initiating efavirenz-based therapy. Sandra Soeria-Atmadja authored this research quantifying efavirenz and its metabolites in plasma and exploring associations with CYP2B6 metabolizer phenotypes and CNS adverse effects. The dataset likely contains longitudinal measurements of drug and metabolite concentrations, genotype data, and questionnaire responses.
A geometric framework transforms multi-omic signatures into measurable objects in an 18-dimensional latent space. The dataset includes 24,796 metabolic regulatory circuitries reconstructed across 32 TCGA cancer types, with derived geometric descriptors. The data was authored by Higor Almeida Cordeiro Nogueira and last updated on 2026-04-17.
24,796 metabolic regulatory circuitries from 32 TCGA cancer types are represented as convex polytopes in an 18-dimensional latent space. The dataset, created by Higor Almeida Cordeiro Nogueira and last updated in April 2026, provides geometric descriptors like barycenter distance and volume for analyzing signature concordance and complexity. These multidimensional representations aim to make the internal structure of omic signatures more accessible than traditional one-dimensional summaries.
24,796 metabolic regulatory circuitries reconstructed across 32 TCGA cancer types are represented as convex polytopes in an 18-dimensional latent space. The dataset includes geometric descriptors like barycenter distance, volume, anisotropy, and asymmetry, quantifying concordance and complexity in multi-omic signatures. It was created by Higor Almeida Cordeiro Nogueira and last updated on 2026-04-17.
A geometric framework dataset representing 24,796 metabolic regulatory circuitries across 32 TCGA cancer types as convex polytopes in an 18-dimensional latent space. Created by Higor Almeida Cordeiro Nogueira and last updated in April 2026, it provides intrinsic geometric measurements like barycenter distance, volume, and anisotropy to quantify signature concordance and complexity. The data is available through a Shiny application and is shared under a CC-BY-4.0 license.