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Particle physics, nuclear physics, condensed matter, plasma physics, optics, acoustics, quantum mechanics
6,341 datasets
Nuclear_IT_hack (2026) is a dataset published on Kaggle. The title suggests it contains information related to a cybersecurity incident in a nuclear energy context, likely from the year 2026. The actual content, scale, and authorship require verification after download.
Kaggle hosts a dataset focused on thermal operations within data centers. The dataset likely contains measurements and parameters related to cooling systems, energy consumption, and environmental control. Its specific scale, authorship, and temporal coverage are unknown from the provided metadata.
Stress in America: One Year Later, A New Wave of Pandemic Health Concerns is a dataset from the paperswithcode platform. Its title suggests it contains survey or observational data related to psychological stress and health concerns during the COVID-19 pandemic. The specific data type, volume, and collection methodology are not detailed in the provided metadata.
Teledyne FLIR's ADAS dataset provides thermal infrared imagery for automotive perception research. The v2 release contains synchronized thermal and visible spectrum images for sensor fusion tasks. This dataset is designed to support development of robust object detection and scene understanding algorithms for autonomous vehicles.
Simultaneous surface elevation and sub-surface velocity field measurements from a controlled tank experiment. The data comprises two forcing regimes (Case A and Case B) and includes measurements at four horizontal depths beneath the water surface. Processed results are stored in NetCDF and tabulated text files, supporting the journal article by Babiker, Omer.
CritPt contains fewer than 1,000 research-level physics reasoning tasks covering domains such as condensed matter, quantum physics, and astrophysics. Developed by the CritPt-Benchmark team and released in late 2024, it serves as a frontier benchmark for testing LLM capabilities on unpublished scientific problems.
Maintained by icanswim and updated in late 2025, this repository provides datasets and models for applying data science techniques to quantum chemistry. It integrates molecular informatics tools with deep learning frameworks to facilitate the study of quantum mechanical properties.
Department of Justice data details claims filed, pending, denied, approved, and compensation awarded under the Radiation Exposure Compensation Act (RECA). The report lists awards by the state or country of residence for the claimant or lead beneficiary. It clarifies that the location reflects where compensation was sent, not necessarily the site of radiation exposure.
Laser altimetry data collected during the 2023-24 NSF COLDEX airborne campaign over the southern flank of East Antarctica's Dome A. The Level 2 product provides calculated ice surface elevation based on laser range and aircraft position data, formatted as tab-delimited text files. Data were authored by Duncan Young and last updated in October 2025.
Antarctic ice surface elevation data collected during the 2022-23 NSF COLDEX airborne campaign targeting Dome A's southern flank. The Level 2 product provides geolocated surface elevation triplets derived from a Riegl laser altimeter and aircraft positioning. Data were processed by Duncan A. Young and published via the Texas Data Repository.
Experimental data from a demonstration of a crosstalk-based remote monitoring technique for Power over Fiber signals in Spatial Division Multiplexing optical networks. The dataset likely contains measurements from a 250-meter 7-core Multicore Fiber transmitting three multiplexed 256 QAM 5G NR optical signals with a total throughput of 1.8 Gbps, a low-speed communications channel, and a PoF signal delivering up to 131 mW. The data was contributed by Altuna Pérez, Rubén and last updated in October 2025.
MCTED is a machine-learning-ready dataset of optical images of the surface of Mars, paired with their corresponding digital elevation models. It was created by ESA-Datalabs using the NASA Ames Stereo Pipeline and Mars Reconnaissance Orbiter CTX instrument imagery, as referenced in Day et al. 2023. The dataset was last updated on the platform in November 2025.
The Trachtenberg Papers collection contains Cold War policy documents from the United States, covering the period from the end of WWII to 1964. Marc Trachtenberg accumulated this data to write books and articles, notably 'A Constructed Peace: The Making of the European Settlement, 1945-1963'. 103 files are prepared for declassification analysis, with versions distinguished by filename suffixes.
Larrubia Marfil, Juan Ramon's dataset comprises a multicentre cohort of 1,556 chronic hepatitis C patients with sustained virologic response after direct-acting antiviral treatment. The data includes follow-up for a median of 74 months, tracking hepatocellular carcinoma development, metformin treatment, and confounders like FIB-4, cirrhosis, and diabetes. It was harvested from e-cienciaDatos and last updated in October 2025.
Replication Data for MgO-based catalysts for selective delignification of lignocellulosic waste and carboxylic acids production under mild hydrothermal conditions, authored by Vidal Duarte, Nora and harvested by e-cienciaDatos. The dataset likely contains results from catalytic experiments, including lignin conversion rates and carboxylic acid yields, with a last update recorded on 2025-10-14.
A thermodynamic analysis compares three bio-oil steam reforming processes: conventional, autothermal, and sorption-enhanced. The dataset likely contains simulation results evaluating hydrogen production, energy requirements, and the influence of key process variables like temperature and pressure. The study was authored by Pedro J. MEGIA and last updated in October 2025.
41 participants were interviewed at the University of Texas at Austin in 2025. The dataset contains analyzed results from short interviews about imagined encounters with robots in high-traffic pedestrian spaces, conducted by researcher Emily Norman. The research employed a constructivist Grounded Theory approach to analyze discursive accounts of human expectations and reactions.
HEPAR2_10 is a dataset from the OpenML platform, likely containing simulated particle physics event data. The name suggests it is related to high-energy physics analysis, specifically for tasks like jet tagging or event classification. Its specific origin, size, and creation date are not detailed in the provided metadata.
HEPAR2_9 is a Monte Carlo simulation dataset from high-energy particle physics experiments. The dataset contains simulated collision events, likely generated for the HEPAR project, though specific details on the number of events, features, and creation date are not provided. It is hosted on the OpenML platform for machine learning research.
HEPAR2_8 is a dataset from the OpenML platform, originally associated with high-energy physics analysis. The dataset's specific content, size, and creator are not detailed in the provided metadata. Further investigation on OpenML is required to determine its exact provenance and temporal context.