Dataset Search
Sort By
Search results
126526 results found
Ice Thickness, NOAA S-NPP VIIRS, Near Real-Time, Sector YZ, Daily
Data provided by National Oceanic and Atmospheric Administration
Enterprise Ice Thickness/ Age Products
Modified:
Source: https://www.ncei.noaa.gov/metadata/geoportal//rest/metadata/item/noaacwVIIRSnppicethickYZ00Daily
Ice Thickness, NOAA S-NPP VIIRS, Near Real-Time, Sector ZW, Daily 4-day Composite
Data provided by National Oceanic and Atmospheric Administration
Enterprise Ice Thickness/ Age Products
Modified:
Source: https://www.ncei.noaa.gov/metadata/geoportal//rest/metadata/item/noaacwVIIRSnppicethickZW00Daily4Day
Ice Thickness, NOAA S-NPP VIIRS, Near Real-Time, Sector ZZ, Daily
Data provided by National Oceanic and Atmospheric Administration
Enterprise Ice Thickness/ Age Products
Modified:
Source: https://www.ncei.noaa.gov/metadata/geoportal//rest/metadata/item/noaacwVIIRSnppicethickZZ00Daily
Ice Thickness, NOAA S-NPP VIIRS, Near Real-Time, Sector ZZ, Daily 4-day Composite
Data provided by National Oceanic and Atmospheric Administration
Enterprise Ice Thickness/ Age Products
Modified:
Source: https://www.ncei.noaa.gov/metadata/geoportal//rest/metadata/item/noaacwVIIRSnppicethickZZ00Daily4Day
Chlorophyll, NOAA S-NPP VIIRS, Science Quality, U.S. East Coast 750m, Level 3, 2012-present, Seasonal
Data provided by National Oceanic and Atmospheric Administration
Seasonal average chlorophyll-a concentration for the U.S. East Coast from the VIIRS instrument aboard the S-NPP satellite, 2012-present, is produced using the blue-green reflectance ratio empirical approach of O'Reilly et al. (1998), adjusting the algorithm for the VIIRS spectral bands. Specifically, the algorithm is a 3-band algorithm (OC3V) whose inputs are the water-leaving radiance at wavelengths of 443, 486, and 551 nm (NOAA VIIRS ATBD, 2017). Atmospheric correction uses the near-infrared (NIR) approach of Jiang and Wang (2014), referred to as the BMW atmospheric correction.
Modified:
NOAA/WDS Paleoclimatology - Subtropical and Tropical Atlantic Ocean Coral Radiocarbon Records from 1876-2005 CE
Data provided by National Oceanic and Atmospheric Administration
This archived Paleoclimatology Study is available from the NOAA National Centers for Environmental Information (NCEI), under the World Data Service (WDS) for Paleoclimatology. The associated NCEI study type is Coral. The data include parameters of corals and sclerosponges with a geographic location of Atlantic Ocean. The time period coverage is from 74 to -55 in calendar years before present (BP). See metadata information for parameter and study location details. Please cite this study when using the data.
Modified:
Source: https://www.ncei.noaa.gov/metadata/geoportal//rest/metadata/item/noaa-coral-39759
NOAA/WDS Paleoclimatology - Seawater Sr/Ca in Florida and Around the World between 2016-2020 CE
Data provided by National Oceanic and Atmospheric Administration
This archived Paleoclimatology Study is available from the NOAA National Centers for Environmental Information (NCEI), under the World Data Service (WDS) for Paleoclimatology. The associated NCEI study type is Coral. The data include parameters of corals and sclerosponges with a geographic location of Global Ocean. The time period coverage is from -63 to -71 in calendar years before present (BP). See metadata information for parameter and study location details. Please cite this study when using the data.
Modified:
Source: https://www.ncei.noaa.gov/metadata/geoportal//rest/metadata/item/noaa-coral-41080
NOAA/WDS Paleoclimatology - Antarctica Station Dome Concordia Chemistry, Sea Water Temperature and Ocean Heat Content Data over the last 350ka
Data provided by National Oceanic and Atmospheric Administration
This archived Paleoclimatology Study is available from the NOAA National Centers for Environmental Information (NCEI), under the World Data Service (WDS) for Paleoclimatology. The associated NCEI study type is Ice Core. The data include parameters of ice cores with a geographic location of Global. The time period coverage is from 346462 to 500 in calendar years before present (BP). See metadata information for parameter and study location details. Please cite this study when using the data.
Modified:
Source: https://www.ncei.noaa.gov/metadata/geoportal//rest/metadata/item/noaa-icecore-40399
A dataset of synthetic additive manufacturing lack-of-fusion pores generated using a three-dimensional Generative Adversarial Network based on X-ray computed tomography images
Data provided by National Institute of Standards and Technology
Synthetic additive manufacturing (AM) lack-of-fusion (LOF) pores are generated using a three-dimensional Generative Adversarial Network (3D-GAN) framework. The LOF pores, introduced by varying laser-based powder bed fusion (L-PBF) process parameters, were extracted from segmented X-ray computed tomography (XCT) scans previously published (doi:10.18434/M32162). The extracted pores served as training data for the 3D-GAN model, which was designed to learn and generate the complex morphologies characteristic of real AM pores.
Tags: Additive manufacturing; defect; pore generation; three-dimensional generative adversarial network; defect dataset development; pore morphology; component aware loss module; non-destructive evaluation.
Modified:
Real time Argo data from the GTS for the month of December 2021 (NCEI Accession 0243880)
Data provided by National Oceanic and Atmospheric Administration
<unknown>
Modified:
Source: https://www.ncei.noaa.gov/metadata/geoportal//rest/metadata/item/gov.noaa.nodc%3A0243880
