AndreaBozzo/ceres-open-data-index huggingface dataset:
Remote Sensing Systems Radiometer Rain Collocations with JPL RapidScat L2B Swath Grid

This dataset contains the multi-sourced microwave radiometer wind speed, rain and cloud liquid water data collocated to RapidScat Level 2B wind vector cell (WVC) locations. The corresponding NASA mission is officially referred to as ISS-RapidScat. This dataset is produced by Remote Sensing Systems (RSS) with direct funding from the JPL RapidScat project. All of the collocated radiometer data is produced by RSS. The co-located radiometer sources include: 1) DMSP SSM/I (F15) and SSMIS (F16/F17), 2) Coriolis WindSat, 3) GCOM-W1 AMSR2 and 4) GPM Core GMI; more details on these radiometer sources and sensors can be extracted by scrolling down to the "Platform/Sensor" section below this description. RapidScat is a Ku-band dual beam circular rotating scatterometer retaining much of the same hardware and functionality of QuikSCAT, with exception of the antenna sub-system and digital interface to the International Space Station (ISS) Columbus module, which is where RapidScat is mounted. Unlike QuikSCAT, ISS-RapidScat is not in sun-synchronous orbit, and flies at roughly half the altitude with a low inclination angle that restricts data coverage to the tropics and mid-latitude regions; the extent of latitudinal coverage stretches from approximately 61 degrees North to 61 degrees South. Furthermore, there is no consistent local time of day retrieval. This dataset is provided in a netCDF-4 file format that follows the netCDF "classic" model and made available via FTP and OPeNDAP. For data access, please click on the "Data Access" tab above.

Tags: earth-science-clouds-atmosphere-cloud-liquid-water-ice-cloud-liquid-water-content, earth-science-ocean-winds-oceans-surface-winds-ocean-surface-wind-speed, earth-science-precipitation-atmosphere-precipitation-rate-rain-rate
Organization: National Aeronautics and Space Administration
Remote sensing of Electrification, Lightning, And Mesoscale/microscale Processes with Adaptive Ground Observations (RELAMPAGO) Lightning Mapping Array (LMA) V1

The Remote sensing of Electrification, Lightning, And Mesoscale/microscale Processes with Adaptive Ground Observations (RELAMPAGO) Lightning Mapping Array (LMA) was an 11-station, ground-based network located in north-central Argentina from November 2018 to April 2019 in support of the RELAMPAGO field campaign. The RELAMPAGO campaign aimed to characterize the atmospheric conditions and terrain effects that facilitate the initiation and growth of intense weather systems in this region of South America. The LMA maps Very High Frequency (VHF) emissions from lightning in three dimensions. These emissions have also been grouped, temporally and spatially, into individual flashes, and the flash characteristics analyzed to produce gridded products. The dataset was produced by NASA Marshall Space Flight Center (MSFC), via an agreement with the National Oceanic and Atmospheric Administration (NOAA), in order to serve as a validation dataset for the Geostationary Lightning Mapper (GLM). These LMA data are available from November 8, 2018 through April 20, 2019 in ASCII, HDF5, and netCDF-4 format.

Tags: earth-science-atmospheric-electricity-atmosphere-lightning
Organization: National Aeronautics and Space Administration
Remote Sensing of Environmental Change in Arctic Coastal Aquatic Ecosystems

The main objective of this NASA-funded project was to develop a remote sensing and modeling capability to monitor and predict ecosystem changes in coastal Arctic waters, in particular, changes in primary production and organic carbon dynamics, due to changing riverine fluxes caused by recent warming trends. Research activities focused on the coastal waters around Colville, Kuparuk, and Sagavanirktok rivers â€" three of the largest rivers in the North Slope of Alaska. Changing riverine fluxes affect light and nutrient availability â€" two most critical factors affecting primary production â€" in a complex manner. Understanding how riverine materials transported into the coastal Arctic mix with ocean waters and affect primary production and phytoplankton community structure using a combination of in situ data, remote sensing measurements, and modeling was the overarching objective of this effort.Â Project funding was through NASA OBB Award: 80NSSC22K1043 (to CCNY, PI: Maria Tzortziou) and NASA OBB Award: 80HQTR21T0050 (to NRL, PI: Wes Moses).

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
Remote sensing in the Rio de la Plata estuary near Punta del Tigre

Measurements in the north coast of the Rio de la Plata estuary, near Punta del Tigre, San Jose

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
Pre-Delta-X: Channel Bathymetry of the Atchafalaya Basin, LA, USA, 2016

This dataset provides water depths and water surface elevations collected during bathymetric surveys of the main channel of the Wax Lake Delta within the Mississippi River Delta (MRD) floodplain of coastal Louisiana, USA. The measurements were made during the Pre-Delta-X Campaign in Fall 2016. The in situ continuous (1 Hz) surveys of channel bathymetry were conducted using a SonarMite Hydrolite Single Beam Echo Sounder mounted on the side of the research boat. The sounder was located directly beneath the Septentrio global navigation satellite system (GNSS) antenna, about 30 cm below the water surface. The sounder depth observations were integrated with the GNSS location and elevation data into one data file per day for October 16-20. These bathymetry measurements were used to generate a merged digital elevation model (DEM) through interpolation with ancillary DEMs to expand the existing wetland DEM to include channels. The merged DEM product is distributed in GeoTIFF format.

Tags: earth-science-bathymetry-seafloor-topography-oceans-bathymetry-coastal-bathymetry, earth-science-ecosystems-biosphere-aquatic-ecosystems-wetlands, earth-science-ecosystems-biosphere-freshwater-ecosystems-rivers-stream, earth-science-geomorphic-landforms-processes-land-surface-coastal-landforms-deltas
Organization: National Aeronautics and Space Administration
Relative Tidal Marsh Elevation Maps with Uncertainty for Conterminous USA, 2010

This dataset provides maps of the elevation of coastal wetlands relative to tidal ranges for the conterminous United States (CONUS) at 30 m resolution for 2010. It also includes maps of tidal amplitude, relative sea-level rise for the period 1983-2001, and maps for coastal lands and low marsh areas based on the probability of being below the mean higher high tide water line for spring tides (MHHWS). Uncertainty layers for elevation maps are also provided.

Tags: earth-science-coastal-processes-oceans-coastal-elevation, earth-science-coastal-processes-oceans-intertidal-zone, earth-science-coastal-processes-oceans-sea-level-rise, earth-science-ecosystems-biosphere-aquatic-ecosystems-wetlands, earth-science-tides-oceans-tidal-height
Organization: National Aeronautics and Space Administration
REGIONAL AIR-SEA INTERACTION (RASI) GAP WIND AND COASTAL UPWELLING EVENTS CLIMATOLOGY GULF OF PAPAGAYO, COSTA RICA V1

The Regional Air-Sea Interactions (RASI) Gap Wind and Coastal Upwelling Events Climatology Gulf of Papagayo, Costa Rica dataset was created using an automated intelligent algorithm which identified gap wind and coastal ocean upwelling events using two satellite-based microwave datasets. The Cross-Calibrated Multi-Platform (CCMP) ocean surface wind data product was used for wind data while the Optimally Interpolated Sea Surface Temperatures (OISST) data product provided by Remote Sensing Systems was used for sea surface temperatures. Data is available from January 1, 1998 through December 31, 2011 for Gulf of Papagayo, Costa Rica. The RASI datasets are products resulting from DISCOVER, a NASA MEaSUREs-funded project.

Tags: earth-science-atmospheric-ocean-indicators-climate-indicators-sea-surface-temperature-indices, earth-science-atmospheric-ocean-indicators-climate-indicators-sea-surface-temperature-indices-e, earth-science-atmospheric-winds-atmosphere-surface-winds-wind-direction, earth-science-atmospheric-winds-atmosphere-surface-winds-wind-speed, earth-science-ocean-temperature-oceans-sea-surface-temperature
Organization: National Aeronautics and Space Administration
REGIONAL AIR-SEA INTERACTION (RASI) GAP WIND AND COASTAL UPWELLING EVENTS CLIMATOLOGY GULF OF PANAMA, PANAMA V1

The Regional Air-Sea Interactions (RASI) Gap Wind and Coastal Upwelling Events Climatology Gulf of Panama, Panama dataset was created using an automated intelligent algorithm which identified gap wind and coastal ocean upwelling events using two satellite-based microwave datasets. The Cross-Calibrated Multi-Platform (CCMP) ocean surface wind data product was used for wind data while the Optimally Interpolated Sea Surface Temperatures (OISST) data product provided by Remote Sensing Systems was used for sea surface temperatures. Data is available from January 1, 1998 through December 31, 2011 for Gulf of Panama, Panama. The RASI datasets are products resulting from DISCOVER, a NASA MEaSUREs-funded project.

Tags: earth-science-atmospheric-ocean-indicators-climate-indicators-sea-surface-temperature-indices, earth-science-atmospheric-ocean-indicators-climate-indicators-sea-surface-temperature-indices-e, earth-science-atmospheric-winds-atmosphere-surface-winds-wind-direction, earth-science-atmospheric-winds-atmosphere-surface-winds-wind-speed, earth-science-ocean-temperature-oceans-sea-surface-temperature
Organization: National Aeronautics and Space Administration
Pre-Delta-X: L3 AirSWOT-derived Water Level Profiles, Wax Lake Outlet, LA, USA, 2015

This dataset contains water level profiles generated from the AirSWOT data collected in the Atchafalaya Basin in Southern Louisiana, USA, within the Mississippi River Delta (MRD) floodplain. Part of the Pre-Delta-X Campaign, AirSWOT used near-nadir wide-swath Ka-band radar interferometry to measure water-surface elevation and uncertainty in May 2015. This Level 3 (L3) AirSWOT dataset is in the form of numerous profiles of water level along the Wax Lake Outlet.

Tags: earth-science-ecosystems-biosphere-freshwater-ecosystems-rivers-stream, earth-science-surface-water-terrestrial-hydrosphere-surface-water-processes-measurements-inunda, earth-science-surface-water-terrestrial-hydrosphere-surface-water-processes-measurements-stage
Organization: National Aeronautics and Space Administration
Reduced-Resolution Radar Imagery, Digital Elevation Models, and Related GIS Layers for Barrow, Alaska, USA, Version 1

This product set contains reduced-resolution Interferometric Synthetic Aperture Radar (IFSAR) imagery and geospatial data for the Barrow Peninsula (155.39 - 157.48 deg W, 70.86 - 71.47 deg N), for use in Geographic Information Systems (GIS) and remote sensing software. The primary IFSAR data sets were acquired by Intermap Technologies from 27 to 29 July 2002, and consist of an Orthorectified Radar Imagery (ORRI), a Digital Surface Model (DSM), and a Digital Terrain Model (DTM). Derived data layers include aspect, shaded relief, and slope-angle grids (floating-point binary format), as well as a vector layer of contour lines (ESRI Shapefile format). Also available are accessory layers compiled from other sources: 1:250,000- and 1:63,360-scale USGS Digital Raster Graphic (DRG) mosaic images (GeoTIFF format); 1:250,000- and 1:63,360-scale USGS quadrangle index maps (ESRI Shapefile format); and a simple polygon layer of the extent of the Barrow Peninsula (ESRI Shapefile format). The DSM and DTM data sets (20 m resolution) are provided in floating-point binary format with header and projection files. The ORRI mosaic (5 m resolution) is available in GeoTIFF format. FGDC-compliant metadata for all data sets are provided in text, HTML, and XML formats, along with the Intermap License Agreement and product handbook. The baseline geospatial data support education, outreach, and multi-disciplinary research of environmental change in Barrow, which is an area of focused scientific interest. Data are available via FTP and CD-ROM.

Tags: earth-science-radar-spectral-engineering-radar-imagery-radar-imagery, earth-science-radar-spectral-engineering-radar-reflectivity-radar-reflectivity, earth-science-topography-land-surface-contours, earth-science-topography-land-surface-terrain-elevation-terrain-elevation, earth-science-topography-land-surface-topographic-effects-topographic-effects, earth-science-topography-land-surface-topographical-relief
Organization: National Aeronautics and Space Administration
REGIONAL AIR-SEA INTERACTION (RASI) GAP WIND AND COASTAL UPWELLING EVENTS CLIMATOLOGY GULF OF TEHUANTEPEC, MEXICO V1

The Regional Air-Sea Interactions (RASI) Gap Wind and Coastal Upwelling Events Climatology Gulf of Tehuantepec, Mexico dataset was created using an automated intelligent algorithm which identified gap wind and coastal ocean upwelling events using two satellite-based microwave datasets. The Cross-Calibrated Multi-Platform (CCMP) ocean surface wind data product was used for wind data while the Optimally Interpolated Sea Surface Temperatures (OISST) data product provided by Remote Sensing Systems was used for sea surface temperatures. Data is available from January 1, 1998 through December 31, 2011 for Gulf of Tehuantepec, Mexico. The RASI datasets are products resulting from DISCOVER, a NASA MEaSUREs-funded project.

Tags: earth-science-atmospheric-ocean-indicators-climate-indicators-sea-surface-temperature-indices, earth-science-atmospheric-ocean-indicators-climate-indicators-sea-surface-temperature-indices-e, earth-science-atmospheric-winds-atmosphere-surface-winds-wind-direction, earth-science-atmospheric-winds-atmosphere-surface-winds-wind-speed, earth-science-ocean-temperature-oceans-sea-surface-temperature
Organization: National Aeronautics and Space Administration
Reduced Resolution Geophysical Product for Ocean, Land and Atmosphere

The Medium Resolution Imaging Spectrometer (MERIS) is one of 10 sensors deployed in March of 2002 on board the polar-orbiting Envisat-1 environmental research satellite by the European Space Agency (ESA). The MERIS instrument is a moderate-resolution wide field-of-view push-broom imaging spectroradiometer capable of sensing in the 390 nm to 1040 nm spectral range. Being a programmable instrument, it had the unique capability of selectively adjusting the width and location of its 15 bands through ground command. The instrument has a 68.5-degree field of view and a swath width of 1150 meters, providing a global coverage every 3 days at 300 m resolution. Communication with the Envisat-1 satellite was lost suddenly on the 8th of April, 2012, just weeks after celebrating its 10th year in orbit. All attempts to re-establish contact were unsuccessful, and the end of the mission was declared on May 9th, 2012. The 4th reprocessing cycle, in 2020, has produced both the full-resolution and reduced-resolution L1 and L2 MERIS products. EN1_MDSI_MER_RR__2P is the short-name for the MERIS Level-2 reduced resolution, geophysical product for ocean, land, and atmosphere. This Level-2 product comes in a netCDF4 package that contains both instrument and science measurements, and a Manifest file that provides metadata information describing the product. Each Level-2 product contains 64 measurement files that break down thus: 13 files containing water-leaving reflectance, 13 files containing land surface reflectance and 13 files containing the TOA reflectance (for all bands except those dedicated to measuring atmospheric gas - M11 and M15), and several files containing additional measurements on ocean, land, and atmospheric parameters and annotation.

Tags: earth-science-clouds-atmosphere-cloud-microphysics-cloud-precipitable-water, earth-science-landscape-land-surface-landscape-ecology, earth-science-ocean-optics-oceans-ocean-color, earth-science-surface-radiative-properties-land-surface-reflectance
Organization: National Aeronautics and Space Administration
Reduced-Resolution QuickBird Imagery and Related GIS Layers for Barrow, Alaska, USA, Version 1

This data set contains reduced-resolution QuickBird imagery and geospatial data for the entire Barrow QuickBird image area 156.15&deg; W - 157.07&deg; W, 71.15&deg; N - 71.41&deg; N) and the Barrow B4 Quadrangle (156.29&deg; W - 156.89&deg; W, 71.25&deg; N - 71.40&deg; N), for use in Geographic Information Systems (GIS) and remote sensing software. The original QuickBird data sets were acquired by DigitialGlobe from 1 to 2 August 2002, and consist of orthorectified satellite imagery. Federal Geographic Data Committee (FGDC)-compliant metadata for all value-added data sets are provided in text, HTML, and XML formats. Accessory layers include: 1:250,000- and 1:63,360-scale USGS Digital Raster Graphic (DRG) mosaic images (GeoTIFF format); 1:250,000- and 1:63,360-scale USGS quadrangle index maps (ESRI Shapefile format); an index map for the 62 QuickBird tiles (ESRI Shapefile format); and a simple polygon layer of the extent of the Barrow QuickBird image area and the Barrow B4 quadrangle area (ESRI Shapefile format). The baseline geospatial data support education, outreach, and multi-disciplinary research of environmental change in Barrow, which is an area of focused scientific interest. Data are available either via FTP or on CD-ROM.

Tags: earth-science-infrared-wavelengths-spectral-engineering-infrared-imagery-infrared-imagery, earth-science-infrared-wavelengths-spectral-engineering-reflected-infrared-reflected-infrared, earth-science-surface-radiative-properties-land-surface-reflectance-reflectance, earth-science-visible-wavelengths-spectral-engineering-visible-imagery-visible-imagery
Organization: National Aeronautics and Space Administration
Portable Remote Imaging Spectrometer (PRISM) COral Reef Airborne Laboratory (CORAL) Regional Reflectance Data

Flight line reflectance measurements from the Portable Remote Imaging Spectrometer (PRISM) instrument aboard the Tempus Applied Solutions Gulfstream-IV (G-IV) aircraft, taken as part of the NASA COral Reef Airborne Laboratory (CORAL) Earth Venture Suborbital-2 (EVS-2) mission designed to provide an extensive, uniform picture of coral reef composition. The CORAL mission surveyed parts of the reefs surrounding the Mariana Islands, Palau, portions of the Great Barrier Reef, the main Hawaiian Islands, and the Florida Keys.

Tags: earth-science-ocean-chemistry-oceans, earth-science-ocean-optics-oceans
Organization: National Aeronautics and Space Administration
Reconstructed Sea Level Version 1

The Reconstructed Sea Level dataset contains sea level anomalies derived from satellite altimetry and tide gauges. The satellite altimetric record provides accurate measurements of sea level with near-global coverage, but it has a relatively short time span, since 1993. Tide gauges have measured sea level over the last 200 years, with some records extending back to 1807, but they only provide regional coverage, not global. Combining satellite altimetry with tide gauges, using a technique known as sea level reconstruction, results in a dataset with the record length of the tide gauges and the near-global coverage of satellite altimetry. Cyclostationary empirical orthogonal functions (CSEOFs), derived from satellite altimetry, are combined with historical sea level measurements from tide gauges to create the Reconstructed Sea Level dataset spanning from 1950 through 2009. Combining the altimetric and tide gauge records alleviates the difficulties caused by the short record length and poor spatial distribution of the satellite altimetry and tide gauges, respectively. Previous sea level reconstructions have utilized empirical orthogonal functions (EOFs) as basis functions, but by using CSEOFs and by addressing other aspects of the reconstruction procedure, an alternative sea level reconstruction can be computed. The resulting reconstructed sea level dataset has weekly temporal resolution and half-degree spatial resolution. For specific information on the algorithm and how the CSEOFs are applied to the tide gauge data please see Hamlington et al. 2011.

Tags: earth-science-sea-surface-topography-oceans-sea-surface-height
Organization: National Aeronautics and Space Administration
Recurring Spring Leads and Landfast Ice in the Beaufort and Chukchi Seas, 1993-2004, Version 1

This data set contains information on recurring spring leads and landfast ice extent in the Beaufort and Chukchi Seas. This data set maps and documents the spatial and temporal distribution of recurring leads and landfast ice in this area spanning 1993 through 2004 and are based on visible and infrared Advanced Very High Resolution Radiometer (AVHRR) data.

Tags: earth-science-sea-ice-cryosphere-ice-extent-landfast-ice-extent, earth-science-sea-ice-cryosphere-leads-leads, earth-science-sea-ice-oceans-leads-leads
Organization: National Aeronautics and Space Administration
Reconstructed Global Mean Sea Level 1900-2018

This dataset contains reconstructed global-mean sea level evolution and the estimated contributing processes over 1900-2018. Reconstructed sea level is based on annual-mean tide-gauge observations and uses the virtual-station method to aggregate the individual observations into a global estimate. The contributing processes consist of thermosteric changes, glacier mass changes, mass changes of the Greenland and Antarctic Ice Sheet, and terrestrial water storage changes. The glacier, ice sheet, and terrestrial water storage are estimated by combining GRACE observations (2003-2018) with long-term estimates from in-situ observations and models. Steric estimates are based on in-situ temperature profiles. The upper- and lower bound represent the 5 and 95 percent confidence level. The numbers are equal to the ones presented in Frederikse et al. The causes of sea-level rise since 1900, Nature, 2020.This dataset was produced by the Heat and Ocean Mass from Gravity ESDR (HOMAGE) project, with funding from MeASUREs-2017. HOMAGE is combining satellite observations to create a set of ESDRs that provide a homogeneous basis for accurate and current quantification of the planetary sea level budget, ocean heat content, and large-scale ocean transport variations.

Tags: earth-science-sea-surface-topography-oceans-sea-surface-height
Organization: National Aeronautics and Space Administration