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Particle physics, nuclear physics, condensed matter, plasma physics, optics, acoustics, quantum mechanics
6,316 datasets
NOAA-21 VIIRS Level-4 data provides global mapped phytoplankton carbon concentration derived from NASA ocean-color observations. The product is used for quantifying biomass and carbon stocks and assessing ecosystem productivity. It is produced by OB_CLOUD and is designated version 2025.0.
Phytoplankton carbon concentration data is derived from NASA ocean-color satellite observations. The dataset is produced by the OB_CLOUD organization and provides the carbon_phyto variable for quantifying marine biomass. Version 2025.0 indicates a recent processing release.
Phytoplankton carbon concentration data is derived from NASA's ocean-color satellite observations. The dataset, version 2022.0, is produced by the OB_CLOUD organization and distributed via the NASA Earthdata platform. It provides a global mapped product for quantifying marine biomass.
Version 2022.0 provides phytoplankton carbon concentration data derived from NASA's NOAA-20 VIIRS satellite ocean-color observations. The dataset is used for quantifying marine biomass and carbon stocks, assessing ecosystem productivity, and driving biogeochemical models. It is produced by the OB_CLOUD organization.
NASA's Terra satellite provides twice-daily global fire detection data at 1-kilometer resolution. The MOD14 product is derived from MODIS 4- and 11-micrometer radiances, employing tests to reject false alarms like sun glint. It is produced by LANCEMODIS and delivered in near real-time.
MODIS/Terra satellite data provides sea ice extent, reflectance, and ice surface temperature fields at 1 km resolution. Version 4 data spans from 24 February 2000 to present, though the full V004 dataset is limited to a Golden Month sample from August to October 2002. The data is produced by NASA's MODIS instrument team.
MYD14 product provides near real-time Level-2 swath data at 1-kilometer resolution, derived from MODIS/Aqua 4- and 11-micrometer radiances. LANCEMODIS processes these observations, which include four daily acquisitions from Aqua MODIS at 1:30 PM and AM. The data supports global monitoring of fire processes and their effects on ecosystems and climate.
Active fire locations and thermal anomalies identified by NASA's MODIS satellite sensors. The data is processed by NASA's LANCE FIRMS system using the MOD14/MYD14 Fire and Thermal Anomalies algorithm. Collection 61 replaced Collection 6 in April 2021.
Over 300 km of geological boundary is traced by an abrupt increase in initial 87Sr/86Sr isotope ratios. The dataset describes the location, age, and tectonic significance of the Western Idaho Suture Zone, a major crustal boundary in the northwestern United States. It was summarized by the USGS from research on pluton geochemistry and geochronology.
Stable isotope data from Southern Ocean deep-sea cores identifies a middle Eocene warming event around 41.5 million years ago. The dataset, sourced from NASA EarthData and contributed by SCIOPS, documents a transient warming of 4°C over 600,000 years. It provides evidence for a climatic reversal during a long-term cooling trend.
Yucca Mountain in Nevada was investigated as a potential high-level radioactive-waste repository. The U.S. Geological Survey conducted a series of detailed geologic and geophysical studies, with results from 13 investigations presented in a report.
GCOM-C/SGLI L2 Snow and Ice Physical Properties data provides global measurements of snow grain size and surface temperature. Japan Aerospace Exploration Agency (JAXA) produces this dataset from the SGLI sensor onboard the GCOM-C satellite, launched in December 2017. It contains three primary data layers: Snow Grain size of Shallow Layer (SGSL), Snow and Ice Surface Temperature (SIST), and a QA flag.
Snow and ice physical properties derived from the SGLI sensor onboard JAXA's GCOM-C satellite. The dataset includes Snow Grain size of the Shallow Layer (SGSL) and Snow and Ice Surface Temperature (SIST) at 1km resolution. Data production began after the satellite's launch on December 23, 2017, with the current product being Version 3.
28 geophysical variables from the SGLI sensor onboard the GCOM-C satellite, launched in December 2017, provide cloud property data. The dataset includes optical thickness, effective droplet radius, cloud top temperature and height, and cloud type classification. It is produced by the Japan Aerospace Exploration Agency (JAXA) to improve global warming prediction accuracy.
Global satellite observations from the SGLI sensor onboard Japan's GCOM-C satellite, launched in December 2017. The dataset provides Level 1B top-of-atmosphere radiance data across visible and infrared bands for 28 geophysical variables related to atmosphere, land, ocean, and cryosphere. It is produced by the Japan Aerospace Exploration Agency (JAXA) to improve global warming prediction accuracy.
JAXA's GCOM-C satellite provides Level 1B top-of-atmosphere radiance data from its SGLI sensor at 1 km spatial resolution. The dataset supports long-term global observations across 28 geophysical variables related to atmosphere, land, ocean, and cryosphere. The satellite was launched in December 2017 and the data is intended to improve the accuracy of global warming predictions.
Nine fracture and four tensile tests were conducted on 5m x 5m and 10m x 10m edge-notched sea ice plates during Austral spring 2001. The dataset contains physical property profiles, cyclic loading responses, and acoustic emission data from in-situ experiments in McMurdo Sound. The study was conducted by the organization SCIOPS to develop models of sea ice breakup.
BBOP data captures the relationship between light and upper ocean biogeochemistry at a site near Bermuda, sampled approximately 16 times annually. The project, funded by NASA's SIMBIOS program, contributes to the SeaBASS database to link in-situ measurements with satellite ocean color sensors like SeaWiFS. Measurements include photosynthetically active radiation, surface irradiance, nutrients, chlorophyll, pigments, primary production, and sediment trap data.
Auroral observations have been collected continuously since the establishment of Syowa Station in 1957. The dataset includes video signals, digital still images, and digital data files from instruments like all-sky imagers and meridian scanning photometers. It is archived by the WDC for Aurora and Space and Upper Atmospheric Science group at NIPR.
Phytoplankton carbon concentration data is derived from NASA's Aqua MODIS ocean-color satellite observations. The dataset provides a global mapped product for quantifying marine biomass and carbon stocks. It is produced by the OB_CLOUD organization, with the latest version designated as 2022.0.