AndreaBozzo/ceres-open-data-index huggingface dataset:
NOAA-20 VIIRS Global Binned Normalized Difference Vegetation Index Data, version R2022.0

The Visible and Infrared Imager/Radiometer Suite (VIIRS) is a multi-disciplinary instrument that is being flown on the Joint Polar Satellite System (JPSS) series of spacecraft, including the Suomi National Polar-orbiting Partnership (S-NPP) that launched in October 2011. JPSS is a multi-platform, multi-agency program that consolidates the polar orbiting spacecraft of NASA and the National Oceanic and Atmospheric Administration (NOAA). S-NPP is the initial spacecraft in this series, and VIIRS is the successor to MODIS for Earth science data product generation. VIIRS has 22 spectral bands ranging from 412 nm to 12 nm. There are 16 moderate-resolution bands (750m at nadir), 5 image-resolution bands (375m), and one day-night band (DNB).

Tags: earth-science-vegetation-biosphere-vegetation-index
Organization: National Aeronautics and Space Administration
NOAA-20 VIIRS Level-2 Regional Triple-window Sea Surface Temperature (SST3) - Near Real-time (NRT) Data, version R2024.0

The Ocean Biology DAAC produces near real-time (quicklook) 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. Quicklook products provide a snapshot of the data during a short time period within a single orbit.

Tags: earth-science-ocean-temperature-oceans-sea-surface-temperature
Organization: National Aeronautics and Space Administration
NOAA-20 VIIRS Level-3 Global Binned 11µm Daytime Sea Surface Temperature (SST) Data, version R2024.0

The Visible and Infrared Imager/Radiometer Suite (VIIRS) is a multi-disciplinary instrument that is being flown on the Joint Polar Satellite System (JPSS) series of spacecraft, including the Suomi National Polar-orbiting Partnership (S-NPP) that launched in October 2011. JPSS is a multi-platform, multi-agency program that consolidates the polar orbiting spacecraft of NASA and the National Oceanic and Atmospheric Administration (NOAA). S-NPP is the initial spacecraft in this series, and VIIRS is the successor to MODIS for Earth science data product generation. VIIRS has 22 spectral bands ranging from 412 nm to 12 nm. There are 16 moderate-resolution bands (750m at nadir), 5 image-resolution bands (375m), and one day-night band (DNB).

Tags: earth-science-ocean-temperature-oceans-sea-surface-temperature
Organization: National Aeronautics and Space Administration
NOAA-18 AVHRR Top-of-Atmosphere Reflectance Daily L3 Global 0.05 Deg. CMG

The Long-Term Data Record (LTDR) produces, validates, and distributes a global land surface climate data record (CDR) that uses both mature and well-tested algorithms in concert with the best-available polar-orbiting satellite data from past to the present. The CDR is critically important to studying global climate change. The LTDR project is unique in that it serves as a bridge that connects data derived from the NOAA Advanced Very High Resolution Radiometer (AVHRR), the EOS Moderate resolution Imaging Spectroradiometer (MODIS), the Suomi National Polar-orbiting Partnership (SNPP) Visible Infrared Imaging Radiometer Suite (VIIRS), and Joint Polar Satellite System (JPSS) VIIRS missions. The LTDR draws from the following eight AVHRR missions: NOAA-7, NOAA-9, NOAA-11, NOAA-14, NOAA-16, NOAA-18, NOAA-19, and MetOp-B. Currently, the project generates a daily surface reflectance product as the fundamental climate data record (FCDR) and derives daily Normalized Differential Vegetation Index (NDVI) and Leaf-Area Index/fraction of absorbed Photosynthetically Active Radiation (LAI/fPAR) as two thematic CDRs (TCDR). LAI/fPAR was developed as an experimental product. The NOAA-18 AVHRR Top-of-Atmosphere Reflectance Daily L3 Global 0.05Deg CMG, short-name N18_ AVH02C1 is generated from GIMMS Advanced Processing System (GAPS) BRDF-corrected Surface Reflectance product (AVH01C1). The N18_ AVH02C1 consist of Top-of-atmosphere reflectance for bands 1 and 2, data Quality flags, angles (solar zenith, view zenith, and relative azimuth), thermal data (thermal bands 3, 4 and 5), and additional data (scan time).

Tags: earth-science-atmospheric-radiation-atmosphere-reflectance-top-of-atmosphere-toa-reflectance, earth-science-infrared-wavelengths-spectral-engineering-brightness-temperature, earth-science-surface-radiative-properties-land-surface-reflectance
Organization: National Aeronautics and Space Administration
NOAA-20 VIIRS Level-3 Global Binned Normalized Difference Vegetation Index - Near Real-time (NRT) Data, version 2022.0

The Ocean Biology DAAC produces near real-time (quicklook) 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. Quicklook products provide a snapshot of the data during a short time period within a single orbit.

Tags: earth-science-vegetation-biosphere-vegetation-index
Organization: National Aeronautics and Space Administration
NOAA-20 VIIRS Level-3 Global Binned 11µm Nighttime Sea Surface Temperature (NSST) - Near Real-time (NRT) Data, version R2024.0

The Ocean Biology DAAC produces near real-time (quicklook) 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. Quicklook products provide a snapshot of the data during a short time period within a single orbit.

Tags: earth-science-ocean-temperature-oceans-sea-surface-temperature
Organization: National Aeronautics and Space Administration
NOAA-20 VIIRS Level-3 Global Binned 11µm Nighttime Sea Surface Temperature (NSST) Data, version R2024.0

The Visible and Infrared Imager/Radiometer Suite (VIIRS) is a multi-disciplinary instrument that is being flown on the Joint Polar Satellite System (JPSS) series of spacecraft, including the Suomi National Polar-orbiting Partnership (S-NPP) that launched in October 2011. JPSS is a multi-platform, multi-agency program that consolidates the polar orbiting spacecraft of NASA and the National Oceanic and Atmospheric Administration (NOAA). S-NPP is the initial spacecraft in this series, and VIIRS is the successor to MODIS for Earth science data product generation. VIIRS has 22 spectral bands ranging from 412 nm to 12 nm. There are 16 moderate-resolution bands (750m at nadir), 5 image-resolution bands (375m), and one day-night band (DNB).

Tags: earth-science-ocean-temperature-oceans-sea-surface-temperature
Organization: National Aeronautics and Space Administration
NOAA19 AVHRR Atmospherically Corrected Normalized Difference Vegetation Index Daily L3 Global 0.05 Deg. CMG

The Long-Term Data Record (LTDR) produces, validates, and distributes a global land surface climate data record (CDR) that uses both mature and well-tested algorithms in concert with the best-available polar-orbiting satellite data from past to the present. The CDR is critically important to studying global climate change. The LTDR project is unique in that it serves as a bridge that connects data derived from the NOAA Advanced Very High Resolution Radiometer (AVHRR), the EOS Moderate resolution Imaging Spectroradiometer (MODIS), the Suomi National Polar-orbiting Partnership (SNPP) Visible Infrared Imaging Radiometer Suite (VIIRS), and Joint Polar Satellite System (JPSS) VIIRS missions. The LTDR draws from the following eight AVHRR missions: NOAA-7, NOAA-9, NOAA-11, NOAA-14, NOAA-16, NOAA-18, NOAA-19, and MetOp-B. Currently, the project generates a daily surface reflectance product as the fundamental climate data record (FCDR) and derives daily Normalized Differential Vegetation Index (NDVI) and Leaf-Area Index/fraction of absorbed Photosynthetically Active Radiation (LAI/fPAR) as two thematic CDRs (TCDR). LAI/fPAR was developed as an experimental product. The NOAA-19 AVHRR Atmospherically Corrected Normalized Difference Vegetation Index (NDVI) Daily L3 Global 0.05 Deg CMG, short-name N19_AVH13C1 is generated from GIMMS Advanced Processing System (GAPS) BRDF-corrected Surface Reflectance product (N19_AVH01C1). The N19_AVH13C1 product is available in HDF4 file format.

Tags: earth-science-land-use-land-cover-land-surface-land-use-land-cover-classification-vegetation-in, earth-science-vegetation-biosphere-vegetation-index-normalized-difference-vegetation-index-ndvi
Organization: National Aeronautics and Space Administration
NOAA20 VIIRS High Resolution Level 3 daily aerosol data, 0.1x0.1 degree grid Version 001 (AER_DBDT_D10KM_L3_VIIRS_NOAA20) at GES DISC

This High-Resolution (0.1 x 0.1 degree) Level 3 daily Aerosol Optical Depth (AOD) product is generated by combining two Visible Infrared Imaging Radiometer Suite (VIIRS) operational algorithms, namely Deep Blue (DB) and Dark Target (DT), on board the NOAA-20 satellite. This dataset is provided in daily files ranging from 2018-02-17 to the present. The spatial coverage is global and the dataset is gridded at 0.1 x 0.1 degree spatial resolution. The data are generated using Level 2 AOD retrieved using DT and DB algorithms. The product provides multiple options for using data either from DT or DB or combined. Depending on user need and application, they can choose one or more relevant parameter. The pixels with highest quality as recommended by science teams are only considered in these averaging. In addition to averaged AOD at 0.1 x 0.1 degree resolution, standard deviation and number of pixels averaged from each algorithm are also provided. Average sensor zenith angle is also provided for additional filtering of the data. If you have any questions, please read the README document first and post your question to the NASA Earthdata Forum (forum.earthdata.nasa.gov) or email the GES DISC Help Desk (gsfc-dl-help-disc@mail.nasa.gov).

Tags: earth-science-aerosols-atmosphere-aerosol-optical-depth-thickness
Organization: National Aeronautics and Space Administration
North Atlantic Aerosols and Marine Ecosystems Study

Measurements made under the NAAMES (North Atlantic Aerosols and Marine Ecosystems Study) program.INTERNAL LINKS (Special datasets*)*Special datasets are not in SeaBASS format, and are thus only accesible via these links (they do not appear in the file search or lists of metadata)Altimetry re-analyses (maps of diagnostics e.g., integration of altimetry & maps of masks of water origin)Ship Underway Data (systems include: IMU, SAMOS, and SSW)EXTERNAL LINKSAircraft dataSatellite dataSeaBASS NAAMES pageSee URL below for the primary NAAMES website

Tags: earth-science-ocean-chemistry-oceans, earth-science-ocean-optics-oceans, earth-science-ocean-temperature-oceans, earth-science-salinity-density-oceans
Organization: National Aeronautics and Space Administration
Northern Hemisphere Cyclone Locations and Characteristics from NCEP/NCAR Reanalysis Data, Version 1

This data set comprises a 58-year record of daily extratropical cyclone statistics computed for the Northern Hemisphere. Cyclone locations and characteristics were obtained by applying the updated Serreze (1997) algorithm to daily Sea Level Pressure (SLP) data at six-hour intervals (Serreze and Barrett 2008). The SLP source data are part of the National Centers for Environmental Prediction (NCEP) and National Center for Atmospheric Research (NCAR) Reanalysis data set, an assimilation of various atmospheric data collected by a wide variety of sensors within a global weather model.

Tags: earth-science-atmospheric-pressure-atmosphere-anticyclones-cyclones, earth-science-atmospheric-pressure-atmosphere-anticyclones-cyclones-cyclones, earth-science-atmospheric-pressure-atmosphere-differential-pressure, earth-science-atmospheric-pressure-atmosphere-pressure-tendency, earth-science-atmospheric-pressure-atmosphere-sea-level-pressure
Organization: National Aeronautics and Space Administration
Northeast Weddell Sea Pre-SWOT Level-4 Hourly MITgcm LLC4320 Native Grid 2km Oceanographic Dataset Version 1.0

This dataset provides a regional multivariate oceanographic state estimate from a global ocean numerical simulation with a focus on the Northeast Weddell Sea region. The global ocean simulation is based on the MIT general circulation model (MITgcm) with Lat-Lon-Cap grid (LLC) layout and 1/48-degree (2km at equator) nominal horizontal resolution. This simulation is often referred to as LLC4320 in the community and existing publications. The simulation has 90 vertical levels, with about 1-m vertical resolution at the surface and 30 m down to 500 m, for optimized resolution of the upper-ocean processes. The model has zero parameterized horizontal diffusivity. In the vertical direction, the K-Profile Parameterization (KPP) is used for boundary layer turbulent mixing. It is spun up progressively from the lower resolution MITgcm simulation from the Estimating the Circulation & Climate of the Ocean (ECCO), and forced by the 6-hourly ERA-Interim atmosphere reanalysis ( https://www.ecmwf.int/en/forecasts/datasets/reanalysis-datasets/era-interim ). A synthetic surface pressure field consisting of the 16 most dominant tidal constituents is used to dynamically mimic the tidal forcing. The dataset provides hourly oceanographic variables at native grid. Three-dimensional variables include temperature, salinity, and velocity. Two-dimensional variables include sea level anomaly, ocean mixed layer thickness, bottom pressure anomaly, net freshwater flux, net heat flux, shortwave radiative flux, net salt flux, and ocean surface stress.

Tags: earth-science-ocean-circulation-oceans-fresh-water-flux, earth-science-ocean-circulation-oceans-ocean-currents, earth-science-ocean-heat-budget-oceans-heat-flux, earth-science-ocean-temperature-oceans-potential-temperature, earth-science-salinity-density-oceans-salinity
Organization: National Aeronautics and Space Administration
NOAA-20 VIIRS Level-3 Global Mapped 11µm Day/Night Sea Surface Temperature (SST) - Near Real-time (NRT) Data, version R2024.0

The Ocean Biology DAAC produces near real-time (quicklook) 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. Quicklook products provide a snapshot of the data during a short time period within a single orbit.

Tags: earth-science-ocean-temperature-oceans-sea-surface-temperature
Organization: National Aeronautics and Space Administration
NOAA-20 VIIRS Level-3 Global Mapped Normalized Difference Vegetation Index - Near Real-time (NRT) Data, version R2022.0

The Ocean Biology DAAC produces near real-time (quicklook) 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. Quicklook products provide a snapshot of the data during a short time period within a single orbit.

Tags: earth-science-vegetation-biosphere-vegetation-index
Organization: National Aeronautics and Space Administration
Northern Hemisphere EASE-Grid 2.0 Weekly Snow Cover and Sea Ice Extent, Version 4

The main parameters for this data set are snow cover and sea ice extent; both parameters are derived from SMMR and DMSP-F8, -F11, -F13, and -F17 SSM/I and SSMIS brightness temperature data. These data are provided on the Northern Hemisphere EASE-Grid 2.0 projection and at a grid cell size of 25 x 25 km. This product is designed to provide a consistent weekly time series of snow cover from October 1966 through January 2023 and sea ice from October 1978 through January 2023.

Tags: earth-science-sea-ice-cryosphere, earth-science-snow-ice-cryosphere-snow-cover
Organization: National Aeronautics and Space Administration
Northern and Mid-Latitude Soil Database, Version 1, R1

The U.S. Department of Agriculture, Agriculture and Agri-Food Canada, the Russian Academy of Agricultural Sciences, the University of Copenhagen Institute of Geography, the European Soil Bureau, the University of Manchester Institute of Landscape Ecology, MTT Agrifood Research Finland, and the Agricultural Research Institute Iceland have shared data and expertise in order to develop the Northern and Mid Latitude Soil Database (Cryosol Working Group, 2001). This database was the source of data for the current product. The spatial coverage of the Northern and Mid Latitude Soil Database is the polar and mid-latitude regions of the northern hemisphere: Alaska, Canada, Conterminous United States, Eurasia (except Italy), Greenland, Iceland, Kazakstan, Mexico, Mongolia, Italy, and Svalbard. The Northern and Mid Latitude Soil Database represents the proportion (percentage) of polygon encompassed by the dominant soil or nonsoil. Soils include turbels, orthels, histels, histosols, mollisols, vertisols, aridisols, andisols, entisols, spodosols, inceptisols (and hapludolls), alfisols (cryalf and udalf), natric great groups, aqu-suborders, glaciers, and rocklands. Also included are data on the circumpolar distribution of gelisols (turbels, orthels, and histels), and the ice content (low, medium, or high) of circumpolar soil materials (from the International Permafrost Association, 1997). The resulting maps show the dominant soil of the spatial polygon unless the polygon is over 90 percent rock or ice. Data are in the U.S. soil classification system and includes the distribution of soil types (%) within a map unit (polygon). Data are available in ESRI shapefile format and include the same attribute values with the exception of Italy, which does not contain distribution values.

Tags: earth-science-soils-land-surface-permafrost, earth-science-soils-land-surface-soil-classification
Organization: National Aeronautics and Space Administration
Northern Hemisphere Snow Cover Monthly Statistics at 1 Degree Resolution V001 (NHSNOWM) at GES DISC

This product is Snow Cover Statistics. The dataset was prepared by Dr. Peter Romanov at Cooperative Institute for Climate Studies(CICS) of the University of Maryland for Northern Eurasia Earth Science Partnership Initiative (NEESPI) program. The product includes the monthly snow statistics (frequency of occurrence) for Northern Hemisphere at 1x1 degree spatial resolution. The dataset covers the time period from January 2000 to November 2014. Monthly data were derived from daily snow cover charts produced at NOAA/NESDIS within Interactive Multisensor Ice Mapping System (IMS).

Tags: earth-science-snow-ice-cryosphere-snow-cover
Organization: National Aeronautics and Space Administration
Norwegian North Polar Expedition 1893-1896: Oceanographic Data, Version 1

This data set contains water depth, temperature, specific gravity, salinity, and density measurements from the North Polar Basin and the Barents Sea, gathered by Nansen and crew on the Norwegian North Polar Expedition from 1893-1896.

Tags: earth-science-bathymetry-seafloor-topography-oceans-water-depth-water-depth, earth-science-ocean-chemistry-oceans-specific-gravity, earth-science-ocean-temperature-oceans-water-temperature-water-temperature, earth-science-salinity-density-oceans-density-density, earth-science-salinity-density-oceans-salinity-salinity
Organization: National Aeronautics and Space Administration
Northwest Pacific Pre-SWOT Level-4 Hourly MITgcm LLC4320 Native Grid 2km Oceanographic Dataset Version 1.0

This dataset provides a regional multivariate oceanographic state estimate from a global ocean numerical simulation with a focus on the Northwest Pacific Ocean region. The global ocean simulation is based on the MIT general circulation model (MITgcm) with Lat-Lon-Cap grid (LLC) layout and 1/48-degree (2km at equator) nominal horizontal resolution. This simulation is often referred to as LLC4320 in the community and existing publications. The simulation has 90 vertical levels, with about 1-m vertical resolution at the surface and 30 m down to 500 m, for optimized resolution of the upper-ocean processes. The model has zero parameterized horizontal diffusivity. In the vertical direction, the K-Profile Parameterization (KPP) is used for boundary layer turbulent mixing. It is spun up progressively from the lower resolution MITgcm simulation from the Estimating the Circulation & Climate of the Ocean (ECCO), and forced by the 6-hourly ERA-Interim atmosphere reanalysis ( https://www.ecmwf.int/en/forecasts/datasets/reanalysis-datasets/era-interim ). A synthetic surface pressure field consisting of the 16 most dominant tidal constituents is used to dynamically mimic the tidal forcing. The dataset provides hourly oceanographic variables at native grid. Three-dimensional variables include temperature, salinity, and velocity. Two-dimensional variables include sea level anomaly, ocean mixed layer thickness, bottom pressure anomaly, net freshwater flux, net heat flux, shortwave radiative flux, net salt flux, and ocean surface stress.

Tags: earth-science-ocean-circulation-oceans-fresh-water-flux, earth-science-ocean-circulation-oceans-ocean-currents, earth-science-ocean-heat-budget-oceans-heat-flux, earth-science-ocean-temperature-oceans-potential-temperature, earth-science-salinity-density-oceans-salinity
Organization: National Aeronautics and Space Administration
NOAA-20 VIIRS Level-3 Global Mapped Triple-window Sea Surface Temperature (SST3) - Near Real-time (NRT) Data, version R2024.0

The Ocean Biology DAAC produces near real-time (quicklook) 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. Quicklook products provide a snapshot of the data during a short time period within a single orbit.

Tags: earth-science-ocean-temperature-oceans-sea-surface-temperature
Organization: National Aeronautics and Space Administration
Northwest Australian Shelf Pre-SWOT Level-4 Hourly MITgcm LLC4320 Native Grid 2km Oceanographic Dataset Version 1.0

This dataset provides a regional multivariate oceanographic state estimate from a global ocean numerical simulation with a focus on the Northwest Australian Shelf region. The global ocean simulation is based on the MIT general circulation model (MITgcm) with Lat-Lon-Cap grid (LLC) layout and 1/48-degree (2km at equator) nominal horizontal resolution. This simulation is often referred to as LLC4320 in the community and existing publications. The simulation has 90 vertical levels, with about 1-m vertical resolution at the surface and 30 m down to 500 m, for optimized resolution of the upper-ocean processes. The model has zero parameterized horizontal diffusivity. In the vertical direction, the K-Profile Parameterization (KPP) is used for boundary layer turbulent mixing. It is spun up progressively from the lower resolution MITgcm simulation from the Estimating the Circulation & Climate of the Ocean (ECCO), and forced by the 6-hourly ERA-Interim atmosphere reanalysis ( https://www.ecmwf.int/en/forecasts/datasets/reanalysis-datasets/era-interim ). A synthetic surface pressure field consisting of the 16 most dominant tidal constituents is used to dynamically mimic the tidal forcing. The dataset provides hourly oceanographic variables at native grid. Three-dimensional variables include temperature, salinity, and velocity. Two-dimensional variables include sea level anomaly, ocean mixed layer thickness, bottom pressure anomaly, net freshwater flux, net heat flux, shortwave radiative flux, net salt flux, and ocean surface stress.

Tags: earth-science-ocean-circulation-oceans-fresh-water-flux, earth-science-ocean-circulation-oceans-ocean-currents, earth-science-ocean-heat-budget-oceans-heat-flux, earth-science-ocean-temperature-oceans-potential-temperature, earth-science-salinity-density-oceans-salinity
Organization: National Aeronautics and Space Administration