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Particle physics, nuclear physics, condensed matter, plasma physics, optics, acoustics, quantum mechanics
6,326 datasets
Measurement data, processing scripts, and notebooks accompany the paper 'Large zero-bias peaks in InSb-Al hybrid semiconductor-superconductor nanowire devices' by Zhang et al. The data likely contains experimental results from hybrid nanowire devices. The author is H. Zhang from Tsinghua University.
NOAA National Ocean Service provides a high-resolution historical shoreline for the Ashepoo River to Port Royal Island, South Carolina, derived from office interpretation of imagery and field surveys. The data are automated for use as a GIS data layer and follow the NGS C-COAST attribution scheme, influenced by international hydrographic standards. This dataset was last updated on March 13, 2026.
Main Figure Raw Data for research on the odd-parity magnet NiI2, authored by Batyr Ilyas and hosted on Harvard Dataverse. The dataset was last updated on April 16, 2026. It likely contains raw image data supporting the visualization of chiral magnetic structures.
Research papers document the Rei-AIOS project's work on topological hypercompression theory. The collection contains 1022 distinct theories and reports a 1250x compression factor. It was authored by Nobuki Fujimoto of Rei-AIOS Research and last updated in April 2026.
72shepoch is a dataset published on Kaggle. Its title suggests a connection to physics, possibly representing experimental or simulation data. The dataset's specific content, scale, and origin are not detailed in the available metadata.
59shepoch is a dataset published on the Kaggle platform. The dataset's title suggests it may contain physics-related data, potentially from an experiment or simulation. No further descriptive metadata, column information, or sample data is available for verification.
Multi-domain diffusion thermal history modeling data reconstructs the cooling history of bedrock in Vermont and New Hampshire. Andrew Spatz from Harvard Dataverse created this dataset, which was last updated in April 2026.
Spatial datasets contain radionuclide deposition, radioactivity dose measurements, and radioactive particle activity from soil samples collected within and around the Ukrainian Chernobyl Exclusion Zone. The data includes measurements for radiocaesium, radiostrontium, plutonium isotopes, and soil chemistry from samples collected between 1995 and 2014. It was compiled by the Environmental Information Data Centre with funding from the EU COMET and NERC TREE projects.
897 days of laboratory incubation data track soluble, adsorbed, and organically bound 99Tc concentrations in 20 topsoils from central England. The dataset quantifies transformation kinetics as a function of soil properties like pH and organic matter content across arable, grassland, and moorland/woodland land uses.
One-minute temperature samples were collected from 14 thermistors at 3-meter intervals between 18 and 60 meters depth. The instrument was deployed about a mile south of Honolulu Harbor in waters approximately 260 feet deep, operating from August to November 1997 and May to July 1998. The data were collected by NOAA_NCEI to examine the thermal field near the Sand Island sewage outfall.
SeaWiFS (Sea-viewing Wide Field-of-view Sensor) provides quantitative data on global ocean bio-optical properties to the Earth science community. The dataset is designed to observe Earth from space to understand its behavior and evolution as a system. It was last updated on December 31, 1999.
SeaWiFS satellite imagery provides quantitative data on global ocean bio-optical properties. The dataset was collected by the Sea-viewing Wide Field-of-view Sensor instrument and is hosted by AMD_KOPRI. The last recorded update was on 1998-12-31.
SeaWiFS satellite sensor data provides quantitative measurements of global ocean bio-optical properties. The dataset likely contains observations from the Antarctic, Arctic, and Korea Peninsula regions. It was collected by AMD_KOPRI and last updated on December 31, 1997.
January 1955 to June 1972 of severe local storm event reports logged by the National Severe Storms Forecast Center. It contains approximately 3800 reports per year from around 600 surface airways stations. The dataset includes entries for tornadoes, funnel clouds, surface wind gusts, hail, and aircraft turbulence.
1854-1961 marine surface and upper air observations recovered from microfilm copies of punched cards. The data was digitized from microfilm using the FOSDIC system by NCDC in the 1960s-1970s. The dataset was last updated in 1961 and is associated with the organization SCIOPS.
The Hybrid Underwater Dataset likely contains data related to mode selection for wireless underwater communication, specifically comparing optical and acoustic methods. The dataset's author, organization, size, and specific time range are unknown. It was sourced from the Kaggle platform.
From February to May 2008, a study measured sexual maturity and steroid hormone levels in 105 female kutum fish from the Sefid-Rood river. The research, conducted by Saeed Shafiei Sabet, used histological and radioimmunoassay methods to track changes in gonadosomatic index (GSI), estradiol (E2), and testosterone (T) levels throughout the spawning season. Results showed hormone levels peaked in March and early April, correlating with the highest GSI values.
A study by Leonard Wong analyzes the effects of repeated military deployments on adolescents in U.S. Army families. The research explores factors that increase or alleviate stress, revealing counterintuitive findings about adolescent resilience and self-awareness. The dataset likely contains survey or interview results from Army adolescents and their families.
CERN-LHC ATLAS detector data measures two-particle correlations in relative azimuthal angle and pseudorapidity from sqrt(sNN) = 5.02 TeV proton-lead collisions recorded in September 2012. The analysis uses approximately 1 μb⁻¹ of data as a function of transverse momentum and transverse energy. The correlation function exhibits long-range near-side and away-side correlations consistent with a cos(2Δφ) modulation.
PMV-Based Thermal Comfort Prediction X CEBLOCK is a dataset hosted on Kaggle. Its title suggests it contains data related to the Predicted Mean Vote (PMV) model for assessing thermal comfort. The dataset's specific content, scale, and origin require verification after download.