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Particle physics, nuclear physics, condensed matter, plasma physics, optics, acoustics, quantum mechanics
6,283 datasets
High time resolution calibrated waveform data from the four Cluster satellites (Rumba, Salsa, Samba, Tango) in the 0-577 kHz frequency range. The data includes electric and magnetic field measurements from specific instruments, sampled at resolutions as high as 4.6 microseconds. It is produced by NASA and maintained by the University of Iowa, with documentation available through the Cluster Science Archive.
Cluster-Salsa Wideband Data (WBD) provides high time resolution calibrated waveform data from plasma wave receivers on four Cluster satellites (Rumba, Salsa, Samba, Tango). The data, sampled in one of three frequency bands up to 577 kHz, includes electric and magnetic field measurements, instrument mode, data quality, and orientation angles. The dataset is produced by the National Aeronautics and Space Administration and was last updated in March 2026.
Cluster-Samba Wideband Data (WBD) provides high time resolution calibrated waveform data from plasma wave receivers on four Cluster satellites. The data, from NASA, includes electric and magnetic field measurements in three frequency bands up to 577 kHz, with time resolution as high as 4.6 microseconds. The dataset also contains instrument mode, data quality flags, and orientation angles.
Ocean station and bathythermograph data from the South Atlantic Ocean's GOA region, collected over a two-month period in 1968. The dataset contains physical-chemical measurements from discrete depth levels, primarily using Nansen bottle casts, with a small percentage from early CTD/STD recorders. Data was processed and standardized by the National Oceanographic Data Center into C100 (station) and C128 (MBT temperature-depth profile) formats.
Sea surface temperature and derived thermal stress metrics provide a global record for coral reef and climate studies. The CoRTAD Version 2 dataset offers weekly data at approximately 4 km resolution from 1982 through 2009. It was created by NOAA's National Oceanographic Data Center in partnership with the University of North Carolina at Chapel Hill, with support from the NOAA Coral Reef Conservation Program.
The Polar Plasma Wave Instrument dataset contains high-frequency waveform receiver data from the Polar satellite. It likely consists of calibrated time-series measurements of electric and magnetic fields in a magnetic field-aligned coordinate system, sampled at 4464 Hz with snapshots of 2048 samples per channel every 128.8 seconds. The data was produced by NASA and is described in a 1995 Space Science Reviews paper by Gurnett et al.
Global daily satellite data provides aerosol optical thickness and Angstrom exponent values gridded at a 1.0 x 1.0-degree resolution. The dataset is derived from SeaWiFS Deep Blue Level 2 observations, with each grid cell representing the arithmetic mean of measurements taken on the specific day of interest. These parameters are primary for analyzing atmospheric aerosol properties and their radiative effects.
94.2 MB of amplitude and phase data for the optical field at a crystal's rear surface, measured under four distinct pump and probe polarization configurations. The dataset, authored by Suheng Zhang and last updated on 2026-04-13, includes a Python script for visualization and is shared under a CC-BY-4.0 license.
The Cluster mission's four satellites (Rumba, Salsa, Samba, Tango) collected calibrated waveform data for electric and magnetic fields in three frequency bands up to 577 kHz. Data includes instrument mode, quality flags, and orientation angles relative to the magnetic field and GSE coordinate system. The National Aeronautics and Space Administration provides this data, with files available in BIN format.
NASA's Ocean Biology DAAC produces near real-time snapshots of ocean optical properties from satellite data. The Inherent Optical Properties suite provides per-pixel coefficients for absorption and backscattering of light by seawater constituents. These products support water-type classification, clarity assessment, and biogeochemical studies.
The Ocean Biology DAAC produces near real-time (NRT) products using the best-available combination of ancillary data from meteorological and ozone data. As such, the inputs and the calibration used are less than optimal. Near real-time products provide a snapshot of the data during a short time period within a single orbit.
Regional satellite data from NASA's Terra MODIS sensor provides per-pixel inherent optical properties of seawater. The dataset includes variables like total absorption and backscattering coefficients, phytoplankton absorption, and CDOM/detritus absorption, derived using the Generalized Inherent Optical Properties (GIOP) model framework. It is produced by OB_CLOUD.
The Ocean Biology DAAC produces near real-time (NRT) Inherent Optical Properties (IOP) products using Terra MODIS satellite data. These products provide per-pixel inherent optical properties, such as absorption and backscattering coefficients, derived from spectral Remote Sensing Reflectance. The data support water-type classification, water-clarity assessment, biogeochemical studies, and radiative-transfer applications.
Near real-time satellite data from Suomi-NPP VIIRS provides per-pixel inherent optical properties of seawater globally. The Ocean Biology DAAC produces these products using the best-available ancillary meteorological and ozone data, offering a snapshot within a single orbit. These properties describe how seawater and its constituents absorb and scatter light, independent of illumination or viewing geometry.
The Suomi-NPP VIIRS Level-3 Global Binned Inherent Optical Properties (IOP) dataset is produced by the Ocean Biology DAAC. It provides near real-time per-pixel inherent optical properties derived from spectral Remote Sensing Reflectance using the Generalized Inherent Optical Properties (GIOP) model framework. The data likely contains global ocean coverage and supports water-type classification, water-clarity assessment, and biogeochemical studies.
Inherent Optical Properties (IOP) data retrieved from satellite Remote Sensing Reflectance using the Generalized Inherent Optical Properties (GIOP) model framework. The dataset provides pixel-level coefficients for seawater absorption and backscattering, supporting water-type classification and biogeochemical studies. It originates from the Suomi-NPP satellite's VIIRS instrument and is hosted on NASA's Earthdata platform.
Near real-time satellite-derived inherent optical properties of seawater from the Suomi-NPP VIIRS instrument. The Ocean Biology DAAC produces these products using the best-available ancillary meteorological and ozone data, providing a snapshot within a single orbit. The data support water-type classification, water-clarity assessment, and biogeochemical studies.
Near real-time global ocean data from the Sentinel-3B satellite provides per-pixel inherent optical properties. The Ocean Biology DAAC produces these products using a best-available combination of ancillary meteorological and ozone data. These properties describe how seawater absorbs and scatters light, supporting water-type classification and biogeochemical studies.
Global ocean data from the Sentinel-3B satellite processed by the Ocean Biology DAAC. The dataset provides near real-time inherent optical properties derived from spectral remote sensing reflectance using the Generalized Inherent Optical Properties model. This activity was informed by the U.S. Government's Satellite Needs Working Group.
Satellite-derived ocean data from the Sentinel-3B OLCI instrument provides per-pixel inherent optical properties for seawater. The Ocean Biology DAAC produces these near real-time products using the best-available ancillary meteorological and ozone data. This activity was informed by the Satellite Needs Working Group (SNWG), an interagency effort of the U.S. Government.