AndreaBozzo/ceres-open-data-index huggingface dataset:
GOES-R PLT Airborne Visible/Infrared Imaging Spectrometer (AVIRIS)

The GOES-R PLT Airborne Visible/Infrared Imaging Spectrometer (AVIRIS) dataset consists of radiance, reflectance, water phase, and navigation data delivered by the Airborne Visible/Infrared Imaging Spectrometer (AVIRIS) flown aboard the NASA ER-2 high-altitude aircraft during the GOES-R PLT field campaign. This field campaign took place from March through May 2017 in support of post-launch L1B and L2+ product validation of the Advanced Baseline Imager (ABI) and the Geostationary Lightning Mapper (GLM) satellite instruments. The GOES-R PLT AVIRIS data files are available from April 11, 2017 through May 14, 2017 in ASCII and binary formats along with browse imagery files in JPG format.

Tags: earth-science-infrared-wavelengths-spectral-engineering-infrared-radiance, earth-science-visible-wavelengths-spectral-engineering-visible-radiance
Organization: National Aeronautics and Space Administration
GPM GROUND VALIDATION PAWNEE RADAR MC3E

The GPM Ground Validation Pawnee Radar MC3E dataset was collected by the Pawnee radar data for the Midlatitude Continental Convective Clouds Experiment (MC3E) held in Oklahoma were collected on May 24, 2011 to support the CHILL radar and the NASA ER-2 instrumentation data. The Pawnee is a single polarization (V polarization) Doppler radar. During the ER2 flight, the Pawnee conducted a wide azimuth opening PPI sector volume scan oriented towards the east designed to provide general 3D coverage of the ER2 flight area. When the ER2 reported starting a course reversal, the CHILL and Pawnee radars attempted to start sector scans at the same time to support dual Doppler wind analyses. In an effort to expand the MC3E sampling to a wider geographical area, the NASA ER2 aircraft was directed to Northeastern Colorado while widespread rain was in progress on May 24, 2011. The aircraft flew a series of pre-defined ground tracks that coincided with radials from the CHILL radar. This aided in keeping the aircraft in the plane of a series of RHI scans done by CHILL. The single polarization Pawnee radar maintained volume coverage of the echo system while the radial flight legs were in progress. During aircraft course reversals at the ends of the radial legs, the CHILL and Pawnee radars started volume scans in synchronization to support dual Doppler wind syntheses. CHILL and Pawnee radar data are available as separate datasets.

Tags: earth-science-radar-spectral-engineering-doppler-velocity, earth-science-radar-spectral-engineering-mean-radial-velocity, earth-science-radar-spectral-engineering-radar-reflectivity, earth-science-radar-spectral-engineering-return-power
Organization: National Aeronautics and Space Administration
Greenness Trends and Carbon Stocks of Mangrove Forests Across Mexico, 2001-2015

This dataset provides estimates of greenness trends, above- and belowground carbon stocks, and climate variables of the persistent mangrove forests on the coasts of Mexico (PMFM) at a 1 km resolution from 2001 through 2015. Data are available as one-time estimates or across the temporal range; typically as monthly summaries. One-time estimates of aboveground carbon and soil organic carbon stocks for the PMFM derived from existing sources are provided. Also included are the monthly mean normalized difference vegetation index (NDVI) from MOD13A3 used to derive greenness trends, monthly mean air temperature, and total monthly precipitation from Daymet for 2001-2015 across the PMFM. Other files include the distribution and coverage of PMFM across Mexico. Distributions are provided as four categories of PMFM: (1) Arid mangroves with Surface Water as main input, along the Gulf of California and Pacific Coast (ARsw); (2) humid mangroves with surface water input along the Pacific Coast (HUsw-Pa); (3) humid mangroves with surface water input along the coast of the Gulf of Mexico (HUsw-Gf); (4) humid mangroves with groundwater input along the Gulf of Mexico and Caribbean Sea (HUgw). These data provide a baseline for national monitoring programs, carbon accounting models, and greenness trends in coastal wetlands.

Tags: earth-science-ecosystems-biosphere-marine-ecosystems-coastal, earth-science-ecosystems-biosphere-marine-ecosystems-estuary, earth-science-land-use-land-cover-land-surface, earth-science-soils-land-surface-carbon-soil-organic-carbon-soc, earth-science-vegetation-biosphere-vegetation-index-normalized-difference-vegetation-index-ndvi
Organization: National Aeronautics and Space Administration
Goddard Satellite-Based Surface Turbulent Fluxes, 1x1 deg Seasonal Climatology, Set1 and NCEP V2c (GSSTFSC) at GES DISC

These data are the Goddard Satellite-based Surface Turbulent Fluxes Version-2c Dataset recently produced through a MEaSUREs funded project led by Dr. Chung-Lin Shie (UMBC/GEST, NASA/GSFC), converted to HDF-EOS5 format. The stewardship of this HDF-EOS5 dataset is part of the MEaSUREs project. This is the Seasonal Climatology product; data are projected to equidistant Grid that covers the globe at 1x1 degree cell size, resulting in data arrays of 360x180 size. The seasonal product is a result of averaging of three consecutive months: December-February, March-May, June-August, and September-November. There is one HDF-EOS5 file per season. A finer resolution, 0.25 deg, of this product has been released as Version 3. Starting with Version 2c, there is only one set of Combined data, "Set1". The Seasonal Climatology HDF-EOS5 file also contains one extra grid of NCEP Climatology, "NCEP". The seasonal temporal and one-degree spatial resolution of the product can be used to examining climate variability at these scales. Oceanic evaporation contributes to the net fresh water input to the oceans and drives the upper ocean density structure and consequently the circulation of the oceans. The short name for this product is GSSTFSC.

Tags: earth-science-atmospheric-pressure-atmosphere-sea-level-pressure, earth-science-atmospheric-radiation-atmosphere-atmospheric-heating, earth-science-atmospheric-radiation-atmosphere-heat-flux, earth-science-atmospheric-radiation-atmosphere-radiative-flux, earth-science-atmospheric-temperature-atmosphere-surface-temperature, earth-science-atmospheric-temperature-atmosphere-surface-temperature-air-temperature, earth-science-atmospheric-temperature-atmosphere-surface-temperature-skin-temperature, earth-science-atmospheric-water-vapor-atmosphere-water-vapor-indicators-humidity, earth-science-atmospheric-water-vapor-atmosphere-water-vapor-indicators-total-precipitable-wate, earth-science-atmospheric-water-vapor-atmosphere-water-vapor-indicators-water-vapor, earth-science-atmospheric-water-vapor-atmosphere-water-vapor-processes-evaporation, earth-science-atmospheric-winds-atmosphere-surface-winds, earth-science-atmospheric-winds-atmosphere-wind-dynamics-turbulence, earth-science-atmospheric-winds-atmosphere-wind-dynamics-wind-stress, earth-science-ocean-heat-budget-oceans-conduction, earth-science-ocean-heat-budget-oceans-evaporation, earth-science-ocean-heat-budget-oceans-heat-flux, earth-science-ocean-pressure-oceans-sea-level-pressure, earth-science-ocean-temperature-oceans-sea-surface-temperature, earth-science-ocean-winds-oceans-surface-winds, earth-science-ocean-winds-oceans-turbulence, earth-science-ocean-winds-oceans-wind-stress
Organization: National Aeronautics and Space Administration
Gridded Estimates of Woody Cover and Biomass across Sub-Saharan Africa, 2000-2004

This dataset provides maps of woody (tree and shrub) cover and biomass across Sub-Saharan Africa at a resolution of 1 km for the period 2000-2004. Canopy cover observations and remote-sensing data related to woody vegetation were used to predict woody cover across Africa. Predicted woody cover, canopy height, and tree allometry were used to estimate woody biomass for Sub-Saharan Africa. Canopy cover observations were assembled from field measurements and Google Earth imagery collected from 2000-2004. Remote-sensing data related to the structural attributes of woody vegetation were derived from MODIS optical data and Q-SCAT (Quick Scatterometer) microwave measurements. Canopy height estimates were derived from spaceborne lidar and tree allometry equations were retrieved from GlobAllomeTree.

Tags: earth-science-ecosystems-biosphere-terrestrial-ecosystems-deserts, earth-science-ecosystems-biosphere-terrestrial-ecosystems-shrubland-scrub, earth-science-vegetation-biosphere-biomass, earth-science-vegetation-biosphere-canopy-characteristics, earth-science-vegetation-biosphere-carbon
Organization: National Aeronautics and Space Administration
GOES IMPACTS

The GOES IMPACTS dataset consists of single reflective band radiance products from the Advanced Baseline Imager (ABI) onboard the GOES-16 geostationary satellite. These data were collected in support of the Investigation of Microphysics and Precipitation for Atlantic Coast-Threatening Snowstorms (IMPACTS) field campaign. IMPACTS was a three-year sequence of winter season deployments conducted to study snowstorms over the U.S Atlantic Coast (2020-2023). The campaign aimed to (1) Provide observations critical to understanding the mechanisms of snowband formation, organization, and evolution; (2) Examine how the microphysical characteristics and likely growth mechanisms of snow particles vary across snowbands; and (3) Improve snowfall remote sensing interpretation and modeling to significantly advance prediction capabilities. The GOES IMPACTS dataset files are available in netCDF-4 format from January 1 through February 29, 2020. This dataset contains data from the GOES-16 CONUS and Mesoscale sectors, although IMPACTS uses a subset of the GOES-16 CONUS domain. The complete collection of GOES data is available from the NOAA Comprehensive Large Array-Data Stewardship System (CLASS). It should be noted that this dataset will be updated in subsequent years of the IMPACTS campaign.

Tags: earth-science-infrared-wavelengths-spectral-engineering-infrared-radiance, earth-science-visible-wavelengths-spectral-engineering-visible-radiance
Organization: National Aeronautics and Space Administration
GOES-R Geostationary Lightning Mapper (GLM) Gridded Data Products

The GOES-R Geostationary Lightning Mapper (GLM) Gridded Data Products consist of full disk extent gridded lightning flash data collected by the Geostationary Lightning Mapper (GLM) on board each of the Geostationary Operational Environmental Satellites R-Series (GOES-R). These satellites are a part of the GOES-R series program: a four-satellite series within the National Aeronautics and Space Administration (NASA) and National Oceanic and Atmospheric Association (NOAA) GOES program. These are GOES-16, -17, -18, and -19. Currently, GOES-18 and GOES-19 are the active satellites. GLM is the first operational geostationary optical lightning detector that provides total lightning data (in-cloud, cloud-to-cloud, and cloud-to-ground flashes). While it detects each of these types of lightning, the GLM is unable to distinguish between each type. The GLM GOES L3 dataset files contain gridded lightning flash data over the Western Hemisphere in netCDF-4 format from December 31, 2017 to present as this is an ongoing dataset.

Tags: earth-science-atmospheric-electricity-atmosphere-lightning
Organization: National Aeronautics and Space Administration
GPM Ground Validation Surface Meteorological Station C3VP V1

The GPM Ground Validation Environment Canada (EC) Surface Meteorological Station C3VP dataset consists of meteorological data collected at the Environment Canada (EC) climate station at the Centre for Atmospheric Research Experiments (CARE) during the Canadian CloudSat/CALIPSO Validation Project (C3VP) field campaign. The campaign took place in southern Canada in support of multiple science missions, including the NASA GPM mission, in order to improve the modeling and remote sensing of winter precipitation. The GPM GV EC Surface Meteorological Station C3VP data include surface temperature and precipitation data available from November 1, 2005 through March 31, 2007 in Microsoft Excel format.

Tags: earth-science-atmospheric-temperature-atmosphere-surface-temperature, earth-science-precipitation-atmosphere-liquid-precipitation
Organization: National Aeronautics and Space Administration
GPM Ground Validation Precipitation Video Imager (PVI) LPVEx V1

The GPM Ground Validation Precipitation Video Imager (PVI) LPVEx dataset consists of precipitation particle images and drop size distribution (DSD) data collected by the Precipitation Video Imager (PVI) during the Global Precipitation Measurement (GPM) mission Light Precipitation Validation Experiment (LPVEx) field campaign. This field campaign took place around the Gulf of Finland in September and October of 2010. The goal of the campaign was to provide additional high-latitude, light rainfall measurements for the improvement of GPM satellite precipitation algorithms. The PVI instrument was designed by Dr. Larry Bliven at NASA Wallops Flight Facility. Data files are available from September 17, 2010 through May 11, 2011 in Excel format and contain the average, minimum, and logarithmic DSD bin sizes and number of particles per unit time. Browse images are available in BMP and JPG formats.

Tags: earth-science-precipitation-atmosphere-droplet-size
Organization: National Aeronautics and Space Administration
Gridded GEDI-Fusion Forest Structure Metrics across Six Western US States, 2016-2020

This dataset provides eight GEDI forest structure metrics relevant to wildlife habitat modeling and biodiversity assessments at 30-m resolutions across Washington, Oregon, Idaho, Montana, Wyoming, and Colorado. The metrics characterize canopy height, strata densities, and canopy cover. The data were derived using random forest modeling and prediction frameworks. The models created were also hindcasted using 2019 and 2020 GEDI footprints back to 2016 on annual time steps leveraging continuous Landsat spectral and disturbance information, Sentinel-1 backscatter metrics and ratios, topographic information, and bioclimatic variables. Machine learning data fusion approaches were used to scale-up structure information provided by the novel space-borne Global Ecosystems Dynamics Investigation (GEDI) waveform lidar sensor to continuous extents using additional satellite-based continuous earth observation data. GEDI provides a consistent sample of forest structure information at 25-m diameter footprints at near-global extents, providing a valuable source of reference information to drive continuous mapping efforts.

Tags: earth-science-ecosystems-biosphere-terrestrial-ecosystems-forests, earth-science-vegetation-biosphere-canopy-characteristics-vegetation-height, earth-science-vegetation-biosphere-forest-composition-vegetation-structure
Organization: National Aeronautics and Space Administration
GOES-R PLT Fly's Eye GLM Simulator (FEGS)

The GOES-R PLT Fly’s Eye GLM Simulator (FEGS) dataset consists of lightning flash, lightning pulse, and radiance data collected by the FEGS flown aboard a NASA ER-2 high-altitude aircraft during the GOES-R Post Launch Test (PLT) airborne science field campaign. The GOES-R PLT airborne science field campaign took place between March 21 and May 17, 2017 in support of the post-launch product validation of the Advanced Baseline Imager (ABI) and the Geostationary Lightning Mapper (GLM). These data files are available in ASCII format with browse imagery available in PNG format.

Tags: earth-science-atmospheric-electricity-atmosphere-lightning
Organization: National Aeronautics and Space Administration
GOES-R PLT North Alabama Lightning Mapping Array (LMA)

The GOES-R PLT North Alabama Lightning Mapping Array (LMA) dataset consists of total lightning data measured from the North Alabama LMA (NALMA) network during the GOES-R Post Launch Test (PLT) airborne science field campaign. The GOES-R PLT airborne science field campaign took place in support of the post-launch product validation of the Advanced Baseline Imager (ABI) and the Geostationary Lightning Mapper (GLM). The LMA measures the arrival time of radiation from a lightning discharge at multiple stations and locates the sources of radiation to produce a three-dimensional map of total lightning activity. These data files are available in compressed ASCII files and are available from March 1, 2017 through June 1, 2017.

Tags: earth-science-atmospheric-electricity-atmosphere-lightning
Organization: National Aeronautics and Space Administration
GOES-R PLT Oklahoma Lightning Mapping Array (LMA) V1

The GOES-R PLT Oklahoma Lightning Mapping Array (LMA) dataset consists of total lightning data measured from the Oklahoma LMA (OKLMA) network during the GOES-R Post Launch Test (PLT) airborne science field campaign. The GOES-R PLT airborne science field campaign took place in support of the post-launch product validation of the Advanced Baseline Imager (ABI) and the Geostationary Lightning Mapper (GLM). The LMA measures the arrival time of radiation from a lightning discharge at multiple stations and locates the sources of radiation to produce a three-dimensional map of total lightning activity. These data files are available in compressed ASCII files and are available from March 1, 2017 through June 1, 2017.

Tags: earth-science-atmospheric-electricity-atmosphere-lightning
Organization: National Aeronautics and Space Administration
Ground-Based Global Navigation Satellite System (GNSS)-based Upper Atmospheric Realtime Disaster Information and Alert Network (GUARDIAN) GPS Earth Orientation Parameters (1-day sampling, 7-day files) from NASA CDDIS

This product contains a time series of Earth orientation parameters from the IERS Bulletin A for the GPS constellation of satellites. The product is generated at JPL's Global Differential GPS Operations Centers.

Tags: earth-science-geodetics-solid-earth-coordinate-reference-system-country-regional-coordinate-ref, earth-science-geodetics-solid-earth-coordinate-reference-system-global-coordinate-reference-sys, earth-science-geodetics-solid-earth-ellipsoid-characteristics, earth-science-geodetics-solid-earth-geoid-characteristics, earth-science-gravity-gravitational-field-solid-earth-crustal-motion-isostatic-adjustments, earth-science-gravity-gravitational-field-solid-earth-gravitational-field, earth-science-gravity-gravitational-field-solid-earth-gravity, earth-science-gravity-gravitational-field-solid-earth-gravity-anomalies, earth-science-gravity-gravitational-field-solid-earth-polar-motion-annual-elliptical-component, earth-science-gravity-gravitational-field-solid-earth-polar-motion-chandler-circular-component, earth-science-gravity-gravitational-field-solid-earth-rotational-motion-variations-rotational-r, earth-science-gravity-gravitational-field-solid-earth-satellite-orbits-revolution-angle-of-elev, earth-science-gravity-gravitational-field-solid-earth-satellite-orbits-revolution-angle-of-incl, earth-science-gravity-gravitational-field-solid-earth-satellite-orbits-revolution-orbit-type, earth-science-gravity-gravitational-field-solid-earth-satellite-orbits-revolution-orbit-velocit, earth-science-gravity-gravitational-field-solid-earth-satellite-orbits-revolution-orbital-posit, earth-science-tectonics-solid-earth-core-processes, earth-science-tectonics-solid-earth-earthquakes-earthquake-magnitude-intensity, earth-science-tectonics-solid-earth-earthquakes-earthquake-occurrences, earth-science-tectonics-solid-earth-earthquakes-earthquake-predictions, earth-science-tectonics-solid-earth-earthquakes-seismic-profile-seismic-body-waves, earth-science-tectonics-solid-earth-earthquakes-seismic-profile-seismic-surface-waves, earth-science-tectonics-solid-earth-plate-tectonics-crustal-motion-crustal-motion-direction, earth-science-tectonics-solid-earth-plate-tectonics-crustal-motion-crustal-motion-rate
Organization: National Aeronautics and Space Administration
GOES-R PLT Kennedy Space Center Lightning Mapping Array (LMA)

The GOES-R PLT Kennedy Space Center Lightning Mapping Array (LMA) dataset consists of total lightning data measured from the Kennedy Space Center LMA (KSCLMA) network during the GOES-R Post Launch Test (PLT) airborne science field campaign. The GOES-R PLT airborne science field campaign took place in support of the post-launch product validation of the Advanced Baseline Imager (ABI) and the Geostationary Lightning Mapper (GLM). The LMA measures the arrival time of radiation from a lightning discharge at multiple stations and locates the sources of radiation to produce a three-dimensional map of total lightning activity. These data files are available in compressed ASCII files and are available from March 1, 2017 through June 1, 2017.

Tags: earth-science-atmospheric-electricity-atmosphere-lightning
Organization: National Aeronautics and Space Administration
GOES-R PLT Washington D.C. Lightning Mapping Array (LMA) V1

The GOES-R PLT Washington D.C. Lightning Mapping Array (LMA) dataset consists of total lightning data measured from the Washington D.C. LMA (DCLMA) network during the GOES-R Post Launch Test (PLT) airborne science field campaign. The GOES-R PLT airborne science field campaign took place in support of the post-launch product validation of the Advanced Baseline Imager (ABI) and the Geostationary Lightning Mapper (GLM). The LMA measures the arrival time of radiation from a lightning discharge at multiple stations and locates the sources of radiation to produce a three-dimensional map of total lightning activity. These data files are available in compressed ASCII files and are available from April 6, 2017 through June 1, 2017.

Tags: earth-science-atmospheric-electricity-atmosphere-lightning
Organization: National Aeronautics and Space Administration
Global Salt Marsh Change, 2000-2019

This dataset provides global salt marsh change, including loss and gain for five-year periods from 2000-2019. Loss and gain at a 30 m spatial resolution were estimated with Normalized Difference Vegetation Index (NDVI) anomaly algorithm using Landsat 5, 7, and 8 collections within the known extent of salt marshes. The data are provided in cloud-optimized GeoTIFF format.

Tags: earth-science-ecosystems-biosphere-marine-ecosystems-coastal, earth-science-geomorphic-landforms-processes-land-surface-coastal-landforms-salt-marsh, earth-science-geomorphic-landforms-processes-solid-earth-coastal-landforms-salt-marsh
Organization: National Aeronautics and Space Administration
GOES-R PLT Surface Radiance Red Lake V1

The GOES-R PLT Surface Radiance Red Lake dataset consists of surface radiation budget, ultraviolet-B (UVB) and photosynthetically active radiation (PAR) flux, meteorological (temperature, pressure, relative humidity, winds), and spectral aerosol optical thickness data collected by a mobile SURFRAD station at Red Lake, Arizona for the GOES-R Post Launch Test (PLT) field campaign. The campaign took place from March to May of 2017 in support of post-launch L1B and L2+ product validation of the Advanced Baseline Imager (ABI) and the Geostationary Lightning Mapper (GLM). Data files are available in ASCII text format from March 27, 2017 through April 12, 2017. Surface reflectance measurements based on spectroradiometer data are also included in Microsoft Excel format.

Tags: earth-science-aerosols-atmosphere-aerosol-optical-depth-thickness, earth-science-atmospheric-temperature-atmosphere-surface-temperature, earth-science-atmospheric-water-vapor-atmosphere-water-vapor-indicators-humidity, earth-science-atmospheric-winds-atmosphere-surface-winds, earth-science-ultraviolet-wavelengths-spectral-engineering-ultraviolet-flux
Organization: National Aeronautics and Space Administration