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News corpora, social media analysis, movie/music metadata, sports data, cultural datasets, misinformation
10,327 datasets
A 9.8 KB Excel file containing windows used to categorize cortical excitability modulation as facilitation or suppression in the left motor region of LMFP. The dataset was authored by Matthew Herbert Ning and last updated on April 30, 2026. It is shared under a CC-BY-4.0 license on the figshare platform.
650 genes show significant expression changes in a lung cancer cell line engineered to overexpress a dominant-negative form of the ChREBP transcription factor. The dataset, shared by Athisake Ruangpracha on figshare, lists genes with an adjusted p-value < 0.05 and an absolute log2 fold-change greater than 2. It was last updated in April 2026 and is available as a 78.5 KB Excel file.
The Synthetic Luxembourg Passports Dataset assembles more than 1,000 AI-generated passport images. All records are fully synthetic, created by ud-synthetic for research and development purposes. The dataset was last updated on 2026-05-14.
More than 1,000 AI-generated German passport images created by ud-synthetic for research and development. All images and associated personal details are fully synthetic and do not correspond to real individuals. The dataset was last updated on Hugging Face in May 2026.
More than 1,000 AI-generated Austrian passport images created by ud-synthetic for research and development purposes. All images and associated data are fully synthetic and do not correspond to real individuals. The dataset was last updated on 2026-05-14.
More than 1,000 AI-generated Belgian passport images created for research and development purposes. The dataset, authored by ud-synthetic, was last updated on Hugging Face in May 2026. All images and associated personal details are fully synthetic and do not correspond to real individuals.
The Synthetic Cyprus Passports Dataset contains over 1,000 AI-generated passport images. All images and associated data are synthetic and do not correspond to real individuals, created by ud-synthetic for research and development. The dataset was last updated on 2026-05-14.
The Synthetic Czech Republic Passports Dataset assembles more than 1,000 AI-generated passport images crafted for training OCR and computer vision models on identity documents. Each record is fully synthetic and does not correspond to real individuals. The dataset was created by ud-synthetic and was last updated on Hugging Face in May 2026.
More than 1,000 AI-generated passport images compiled for training OCR and computer vision models. All records are fully synthetic and do not correspond to real individuals. The dataset was created by ud-synthetic and was last updated on Hugging Face in May 2026.
June 1972 to September 1974 data contains high-resolution conductivity-temperature-depth (CTD) and salinity-temperature-depth (STD) profiles from three USNS vessels in the Gulf of Alaska, North Atlantic, and North and South Pacific Oceans. Processed by the National Oceanographic Data Center (NODC) into the standard F022 format, the dataset provides near-continuous measurements of temperature, salinity, density, and other parameters at depth intervals as fine as one meter. It includes cruise metadata, station positions, times, and environmental observations from the cast period.
Lithuanian Passports is a collection of over 1,000 AI-generated passport images created by ud-synthetic for training OCR and computer vision systems. All data is synthetic and does not correspond to real individuals. The dataset was last updated on May 14, 2026.
Ukrainian identity documents consist of over 1,000 AI-generated passport images created for training OCR and computer vision models. The dataset is fully synthetic, containing no real personal data. It was authored by ud-synthetic and last updated on 2026-05-14.
More than 1,000 AI-generated passport images provide a privacy-safe resource for training computer vision models. The dataset is fully synthetic, containing no real personal data, and was created by ud-synthetic. It was last updated on May 14, 2026.
The Synthetic Myanmar Passports Dataset by ud-synthetic contains over 1,000 AI-generated passport images. All data is synthetically created and does not correspond to real individuals. The dataset was last updated on 2026-05-14.
More than 1,000 AI-generated passport images created for training OCR and computer vision models on identity documents. The dataset, compiled by ud-synthetic, contains fully synthetic records with fictional personal details intended solely for research and development purposes.
A report from the Ministerie van Binnenlandse Zaken en Koninkrijksrelaties analyzes the role of culture in the city of Groningen. The report concludes that the city's large and diverse cultural offerings are a main pillar of its attractiveness and economic vitality, with benefits extending to the surrounding region. The data is provided as a PDF document under a CC-BY-4.0 license.
37 studies on embodiment in musical skill acquisition are detailed, including metadata, participant characteristics, and results. The dataset was compiled by Laura Serra Marin for a scoping review following PRISMA guidelines and was last updated in April 2026. It includes both a structured review document and a cleaned Excel table used for statistical analysis in R.
NASA's Viking Lander 1 mission collected Martian atmospheric data for the first 350 sols (Mars solar days). This dataset contains daily binned mean values for pressure, temperature, and wind speed (zonal and meridional), with a gap between sols 117 and 133. Wind direction data after sol 45 was recovered using specialized techniques, as documented in MURPHY_1986.
DriftBench is a benchmark for measuring trajectory drift in multi-turn LLM-assisted scientific ideation. It evaluates whether models preserve fidelity to an original objective or drift toward locally coherent but globally misaligned elaborations. The dataset was created by 'anonymous-driftbench' and was last updated on May 1, 2026.
ReliefWeb, a service of the UN Office for the Coordination of Humanitarian Affairs (OCHA), maintains this dataset of natural disasters with humanitarian impact from 1981 to the present. The data aggregates information from over 4,000 sources, including international agencies, governments, and research institutions.