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Telescope observations, star catalogs, exoplanet surveys, galaxy morphology, gravitational waves, spectroscopy
2,977 datasets
Raw delay values for numerical electron trajectory calculations describe attosecond streaking for infrared wavelengths of 800 nm and 400 nm. The dataset was authored by Grafstrom, Brock and is hosted by Harvard Dataverse. It was last updated on January 18, 2026.
A dataset titled 'Test-Hubble' sourced from Kaggle. The title suggests it likely contains imagery or data related to the Hubble Space Telescope. The dataset's specific content, scale, and origin require verification after download.
Kaggle hosts this dataset titled 'sdsdss', which is associated with a pre-trained model. The dataset's specific content, size, and creator are not detailed in the provided metadata. Further details regarding its composition and intended application require verification after download.
31P NMR spectra of phosphatidylserine samples, contributed by researcher Daniela Rebollar Ramos from the University of Illinois Chicago. The dataset is hosted on the Dataverse platform and was last updated in January 2026.
A dataset for detecting Autism Spectrum Disorder, published on Kaggle. The platform tags suggest it likely contains images for computer vision tasks. The author, organization, and specific data collection details are unknown.
Data collected during the first COVID-19 wave lockdown in Spain via an online survey. This dataset captures the perceived anxiety of family caregivers of individuals with Autism Spectrum Disorder, Down Syndrome, and Williams Syndrome. The data were collected by Pastora Martínez-Castilla as part of a Spanish subproject within an international study on families of individuals with special needs.
Daily transfers of earth station antenna sites registered in the Fixed-Satellite Service Antenna Registration System (FSS ARS). The dataset is maintained by the Federal Communications Commission and was last updated in December 2025.
33 binary files from 1998 and 2001 calibration campaigns for the Cosmic Dust Analyzer instrument. The data includes raw and processed levels, with 2001 tests using materials like aluminum, carbon, carbon_Na, and iron. The dataset is hosted by the CosmicDustGroup and was last updated in November 2025.
EmoNet-Face is a benchmark suite designed to address gaps in facial emotion recognition, such as narrow emotional spectrums and lack of demographic diversity. The dataset was created by the organization 'laion' and was last updated on the Hugging Face platform on October 20, 2025. It is intended to provide a foundation for developing AI systems with a nuanced understanding of human emotion.
EmoNet-Face is a benchmark suite designed to address gaps in facial emotion recognition, such as narrow emotional spectrum and lack of demographic diversity. The dataset was created by laion and was last updated on the platform in October 2025. It is described as providing a foundation for developing AI systems with a nuanced understanding of human emotion.
SDSS17 contains astronomical data from the Sloan Digital Sky Survey, a major multi-spectral imaging and spectroscopic redshift survey. The dataset includes photometric and spectroscopic measurements for celestial objects like galaxies and stars. It was created by the SDSS collaboration and is hosted on the OpenML platform.
SDSS-16 is a dataset from the Sloan Digital Sky Survey, a major astronomical imaging and spectroscopic survey. The dataset contains observational data on celestial objects, likely including stars, galaxies, and quasars. It is published by the SDSS collaboration, though the specific release date for this version is not provided.
COMET_MC is a dataset of comet orbital elements, likely containing parameters for calculating comet trajectories. The dataset originates from the OpenML platform, but specifics on its size, creator, and last update are not provided. It is categorized under astronomy and space science.
COMET_MC is a dataset from OpenML, likely containing parameters for comets. The dataset's specific creator, size, and update date are not provided in the metadata.
COMET_MC likely contains orbital parameters for comets, such as perihelion distance, eccentricity, and inclination. The dataset originates from OpenML, a repository for machine learning data, though specific authorship and update details are unknown. Its size and row count are not specified.
ConStellaration provides 100,000 to 1,000,000 quasi-isodynamic (QI) stellarator boundary shapes and performance metrics produced by Proxima Fusion in 2025. The collection includes ideal magneto-hydrodynamic (MHD) equilibria and generation settings evaluated under vacuum and finite beta conditions.
Raw quantification data from a study investigating spontaneous brain repair mechanisms after stroke. The dataset contains observations and measurements from experiments using a rat model of permanent cerebral ischemia, with postmortem samples from human stroke subjects also referenced. The data was harvested from e-cienciaDatos via Dataverse and last updated on October 14, 2025.
Photographic documentation and posters from two 2017 art exhibitions at the Museum of Guadalajara, Spain. The exhibitions, "Peque-arte" and "UAH-arte," were educational projects based on 15th-century stone sculptures by Egas Cueman. The dataset was created by researcher Elena García-Esteban and last updated in October 2025.
The First RF Spectrum-Sharing Challenge was held in 2024-2025, culminating in announcing the winner AiRANACULUS on January 30, 2025. These data were used in the contest, which was co-sponsored by the United States Air Force Research Laboratory (AFRL) and the National Security Innovation Network (NSIN). The challenge was a data-centric contest open to US academic and industrial organizations intended to spur innovation in machine learning and signal processing for automatic radio-frequency scene analysis (RFSA).
Tim Goudge from The University of Texas at Austin created this archive for a STEM Girl Day outreach activity. The digital materials challenge K-8th grade students to match 3D printed landscape models with 2D images of Earth and Mars. The activity is described in a 2025 Lunar and Planetary Science Conference abstract.