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Particle physics, nuclear physics, condensed matter, plasma physics, optics, acoustics, quantum mechanics
6,316 datasets
U.S. Environmental Protection Agency data containing location and identification information for facilities linked to the CERCLIS non-NPL Superfund program. The dataset is a subset of the EPA's Facility Registry Service, integrating records from national program systems and state sources. It is maintained by the EPA and was last updated in March 2026.
CERN-LHC. Results from a search for new phenomena in proton-proton collisions at a center-of-mass energy of 13 TeV, corresponding to an integrated luminosity of 3.2 fb⁻¹. The analysis, conducted by the ATLAS experiment, reports exclusion limits for dark matter models and large extra spatial dimensions.
Hepha Dataset 7 is a physics-related dataset authored by tmeynier and hosted on Hugging Face. The dataset was last updated on May 14, 2026. Its specific content, scale, and structure are not detailed in the available metadata.
Three key ionospheric parameters derived from quarter-hourly ionograms by the SESAME ground-based experiment. The parameters include the lowest and highest plasma frequencies from the E-region and the highest plasma frequency from the F-region, measured in MHz. The dataset is produced by the National Aeronautics and Space Administration and was last updated in March 2026.
Raw data supporting a manuscript on the effects of plasma insulin concentrations on milk yield and composition in dairy cows. The dataset was authored by Annik L'Espérance and is hosted on the Borealis Harvested Dataverse. It was last updated on April 25, 2026.
Survey data from Statistics Canada details businesses that did not adopt new technologies over a three-year period, with training employees cited as the primary barrier. The dataset is segmented by NAICS code, business size, type of business, activity, and majority ownership. It was published by Statistics Canada in the first quarter of 2026.
The CEDAR Data Base at NCAR/HAO holds information on theoretical models and source code for several empirical models of the upper atmosphere. Theoretical models include AMIE, CTIM, CTIP, FLIP, GLOW, TIGCM, TIEGCM, TIMEGCM, and VSH, while empirical models include APEX, CHIU, HWM, IRI, MSIS, and others. Access requires a valid form from the WWW or ftp site, with contact information provided for each model.
NASA ocean-color observations provide phytoplankton carbon concentration data. The dataset is derived from Terra MODIS satellite observations and is version 2022.0. It is hosted by OB_CLOUD on the NASA Earthdata platform.
Phytoplankton carbon concentration data derived from NASA's Terra MODIS satellite ocean-color observations. The dataset is produced by OB_CLOUD and is version 2022.0, indicating a specific algorithm release. It is designed for quantifying marine biomass and carbon stocks on a global scale.
NASA ocean-color observations provide phytoplankton carbon concentration data. The dataset likely contains global mapped data derived from the Suomi-NPP VIIRS instrument. Typical uses include quantifying biomass and carbon stocks, assessing ecosystem productivity, and driving biogeochemical models.
NASA's Suomi-NPP VIIRS Level-4 Global Binned Phytoplankton Carbon Data provides phytoplankton carbon concentration derived from ocean-color observations. The dataset is produced by OB_CLOUD and is version 2022.0. Typical uses include quantifying biomass and carbon stocks, assessing ecosystem productivity and change, and driving biogeochemical models.
The Hydro-Sensor-FLOWS program monitored snow cover and mass balance on the Austre Lovenbreen glacier in Svalbard. Forty 10-meter stakes were installed for annual measurements, supplemented by snow core sampling campaigns from 2008 to 2010. The data consists of stake height measurements and corresponding snow core data, processed and made available by the SCIOPS organization around 2011-2012.
Global and continental Simulated Topological Networks (STN) represent rivers as spatial and tabular data layers derived from flow-direction grids. The dataset includes a global version at 30-minute resolution and separate continental files for Africa, Australasia, Asia, Europe, North America, and South America at 6-minute resolution. It was developed by SCIOPS and represents an update to earlier work using methods from Fekete et al. (2001).
Phytoplankton carbon concentration data derived from NASA ocean-color satellite observations. The dataset is a Level-4 global mapped product, version 2022.0, produced by the organization OB_CLOUD and informed by the U.S. Government's Satellite Needs Working Group.
Phytoplankton carbon concentration data derived from NASA ocean-color satellite observations. The dataset is a global, binned, reduced-resolution product (version 2022.0) from the Sentinel-3B OLCI instrument, developed to inform the U.S. Government's Satellite Needs Working Group. It is intended for quantifying marine biomass, assessing ecosystem productivity, and driving biogeochemical models.
NASA's Sentinel-3A OLCI Level-4 ERR dataset provides global mapped phytoplankton carbon concentration derived from ocean-color observations. Typical uses include quantifying biomass and carbon stocks, assessing ecosystem productivity and change, and driving biogeochemical models. This activity was informed by the Satellite Needs Working Group (SNWG), an interagency effort of the U.S. Government.
NASA's Sentinel-3A OLCI Level-4 Global Binned Earth-observation Reduced Resolution (ERR) Phytoplankton Carbon Data provides phytoplankton carbon concentration derived from ocean-color observations. The dataset is intended for quantifying biomass and carbon stocks, assessing ecosystem productivity, and driving biogeochemical models. This activity was informed by the Satellite Needs Working Group (SNWG), an interagency effort of the U.S. Government.
Alaskan coastal regions, including the Bering Sea and Prince William Sound, are covered by this dataset. NASA's Sea-viewing Wide Field-of-view Sensor (SeaWiFS) on the SeaStar spacecraft collects ocean color data in eight wavelength bands. The Local Area Coverage (LAC) data provides 1.1 km resolution imagery, with archived images available from 1998 onward.
Phytoplankton carbon concentration data derived from NASA PACE satellite ocean-color observations. The dataset is used for quantifying marine biomass, assessing ecosystem productivity, and driving biogeochemical models. It is produced by NASA's Ocean Biology Processing Group (OB_CLOUD).
Phytoplankton carbon concentration data derived from NASA ocean-color satellite observations. The dataset supports the quantification of marine biomass and carbon stocks. It is produced by the OB_CLOUD organization using the PACE OCI Level-3 processing algorithm, version 3.1.