AndreaBozzo/ceres-open-data-index huggingface dataset:
SMEX03 Airborne Synthetic Aperture Radar (AIRSAR) Data: Oklahoma, Version 1

Notice to Data Users: The documentation for this data set was provided solely by the Principal Investigator(s) and was not further developed, thoroughly reviewed, or edited by NSIDC. Thus, support for this data set may be limited. This data set contains radar soil moisture measurements taken over the Soil Moisture Experiment 2003 (SMEX03) regional study areas in Oklahoma, USA. The Airborne Synthetic Aperture Radar (AIRSAR) instrument was mounted on a DC-8 aircraft that flew over the area six days during the study period.

Tags: earth-science-radar-spectral-engineering-radar-backscatter, earth-science-radar-spectral-engineering-radar-imagery, earth-science-soils-land-surface-soil-moisture-water-content
Organization: National Aeronautics and Space Administration
SMEX03 Aircraft Polarimetric Scanning Radiometer (PSR) Data, Alabama, Version 1

The Polarimetric Scanning Radiometer (PSR) is an airborne microwave imaging radiometer developed and operated by the National Oceanic and Atmospheric Administration (NOAA) Environmental Technology Laboratory. This data set includes brightness temperature data for the C-band and X-band.

Tags: earth-science-microwave-spectral-engineering-brightness-temperature
Organization: National Aeronautics and Space Administration
SMEX03 ASTER Level-1B Data: Oklahoma, Version 1

This data set contains mosaicked Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) images for the Oklahoma North and Oklahoma South, USA regional study areas.

Tags: earth-science-infrared-wavelengths-spectral-engineering-infrared-radiance, earth-science-infrared-wavelengths-spectral-engineering-thermal-infrared, earth-science-visible-wavelengths-spectral-engineering-visible-radiance
Organization: National Aeronautics and Space Administration
RapidScat Level 2B Climate Ocean Wind Vectors in 12.5km Footprints

This dataset contains the RapidScat Level 2B 12.5km Version 1.0 Climate quality ocean surface wind vectors. The Level 2B wind vectors are binned on a 12.5 km Wind Vector Cell (WVC) grid and processed using the using the "full aperture" normalized radar cross-section (NRCS, a.k.a. Sigma-0) from the L1B dataset. 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. The NASA mission is officially referred to as ISS-RapidScat. 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-3 file format that follows the netCDF-4 classic model (i.e., generated by the netCDF-4 API) and made available via Direct Download and OPeNDAP. For data access, please click on the "Data Access" tab above. This climate quality data set differs from the nominal "slice" L2B dataset as follows: 1) it uses full antenna footprint measurements (~20-km) without subdividing by range (~7-km) and 2) the absolute calibration has been modified for the two different low signal-to-noise ratio (SNR) mode data sets: LowSNR1 14 August 2015 to 18 September 2015; LowSNR2 6 October 2015 to 7 February 2016. The above enhancements allow this dataset to provide consistent calibration across all SNR states. Low SNR periods and other key quality control (QC) issues are tracked and kept up-to-date in PO.DAAC Drive at https://archive.podaac.earthdata.nasa.gov/podaac-ops-cumulus-docs/rapidscat/open/L1B/docs/revtime.csv. If you have any questions, please visit our user forums: https://podaac.jpl.nasa.gov/forum/.

Tags: earth-science-ocean-winds-oceans-surface-winds-ocean-surface-wind-vectors
Organization: National Aeronautics and Space Administration
SMEX03 AMSR-E Daily Gridded Soil Moisture and Brightness Temperatures, Alabama, Version 1

Notice to Data Users: The documentation for this data set was provided solely by the Principal Investigator(s) and was not further developed, thoroughly reviewed, or edited by NSIDC. Thus, support for this data set may be limited. This data set contains Advanced Microwave Scanning Radiometer - Earth Observing System (AMSR-E) Level-3 daily measurements of surface soil moisture and temperatures.

Tags: earth-science-microwave-spectral-engineering-brightness-temperature, earth-science-soils-land-surface-soil-moisture-water-content, earth-science-topography-land-surface-surface-roughness
Organization: National Aeronautics and Space Administration
Pre-Delta-X: Vegetation Species, Structure, Aboveground Biomass, MRD, LA, USA, 2015

This dataset provides vegetation species, height, stem density and diameter, and species aboveground biomass (AGB) measurements collected at herbaceous and forested wetland sites across the Atchafalaya and Terrebonne basins within the Mississippi River Delta (MRD) floodplain in coastal Louisiana, USA. The measurements were made during the Pre-Delta-X campaign in Spring 2015 and Fall 2015. Vegetation height and density and diameter data are only provided for forested Atchafalaya sites during the spring collections. At the nine herbaceous wetland sites, a transect was established perpendicular to the wetland edge with replicate sample plots (0.25 m2, 5 m apart) located at 50, 100, and 150 m from the wetland edge to capture the range of vegetation structure, zonation, and composition. AGB was harvested inside the duplicate plots at each sampling location. At the six forested wetland sites, duplicate circular plots (10 m radius, 50 m apart) were established inside the forest approximately 30 m from the wetland edge. All trees with a diameter at breast height (DBH at 1.3 m) > 2.5 cm were measured within each plot and identified to species. The height of trees was measured with a laser range finder. AGB was estimated using species-specific allometric equations. Measurements were used to generate marsh and forested wetland coverage and biomass in response to seasonality within both basins. The data will be used to calibrate remote sensing data (e.g., UAVSAR, AVIRIS-NG) and hydrodynamics and sediment transport models.

Tags: earth-science-ecosystems-biosphere-freshwater-ecosystems-rivers-stream, earth-science-ecosystems-biosphere-terrestrial-ecosystems-forests, earth-science-ecosystems-biosphere-terrestrial-ecosystems-wetlands, earth-science-geomorphic-landforms-processes-land-surface-coastal-landforms-deltas, earth-science-vegetation-biosphere-biomass, earth-science-vegetation-biosphere-plant-characteristics, earth-science-vegetation-biosphere-vegetation-species
Organization: National Aeronautics and Space Administration
SMEX03 Aircraft Polarimetric Scanning Radiometer (PSR) Data, Georgia, Version 1

The Polarimetric Scanning Radiometer (PSR) is an airborne microwave imaging radiometer developed and operated by the National Oceanic and Atmospheric Administration (NOAA) Environmental Technology Laboratory. Measurements were taken in regional areas of Alabama, Georgia, and Oklahoma, USA and the Little Washita Watershed of Oklahoma, USA during the Soil Moisture Experiment 2003 (SMEX03).

Tags: earth-science-microwave-spectral-engineering-brightness-temperature
Organization: National Aeronautics and Space Administration
Retrospective analysis of anthropogenic change in Midwest reservoirs: Integrating earth observing data with statewide reservoir monitoring programs

The dataset comprises in-situ hyperspectral data acquired using the on-water approach (aka skylight-blocked approach), using a combination of a downwelling irradiance sensor and an upwelling radiance sensor. These sensors are specifically TriOS RAMSES hyperspectral radiometers, each associated with two calibration files. The data collection was conducted across different reservoirs in the state of Missouri USA. This NASA-funded project directly addresses how Earth-observing satellite data can better inform critical links between the biogeochemical and optical properties of inland waters. It achieves this by using satellite imagery and in-situ measurements from two long-running water quality monitoring programs in the state of Missouri that annually record more than one thousand measurements of nitrogen, phosphorus, chlorophyll-a, Secchi depth, particulate organic and inorganic matter, and cyanotoxins across 100 reservoirs.

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
RapidScat Level 2A Surface Flagged Sigma-0 and Attenuations in 12.5km Swath Grid Version 2.0

This dataset contains the Version 2.0 ISS-RapidScat on Level 2A 12.5 km science data record, which provides surface-flagged sigma-0 in 12.5 km Wind Vector Cells processed using the pulse "slice" Sigma-0 data provided by the Level 1B dataset. Due to the circular scan of the RapidScat instrument the expected number of Sigma-0 cells per WVC is not constant. To minimize the L2A data volume, the Sigma-0 cell data are stored as "lists" for each WVC row, with each list indexed by a "cell_index" array to indicate the cross-track WVC membership of the data. Each cell is then checked for land or ice and flagged accordingly. Attenuation corrections for each Sigma-0 measurement are also provided. Version 2.0 represents a complete historical re-processing of the L2A data record and provides a calibration which is consistent across the several signal to noise ratio states experienced by RapidScat throughout its operation period (see the technical note for Version 2.0 under Documentation). It is also derived from the same L1B V2.0 product that was used to generate Version 2.0 wind products (L2B). Data are provided in single-orbit files in HDF-4 format. 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. The NASA mission is officially referred to as ISS-RapidScat. 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.

Tags: earth-science-radar-spectral-engineering-sigma-naught-none
Organization: National Aeronautics and Space Administration
SMEX02 Tower-Based Radiometric Surface Temperature, Walnut Creek, Iowa, Version 1

This data set includes air temperature, vapor pressure, wind speed, and brightness temperatures taken at 12 flux towers as part of the Soil Moisture Experiment 2002 (SMEX02).

Tags: earth-science-atmospheric-pressure-atmosphere-atmospheric-pressure-measurements, earth-science-atmospheric-temperature-atmosphere-surface-temperature-air-temperature, earth-science-atmospheric-water-vapor-atmosphere-water-vapor-profiles, earth-science-atmospheric-winds-atmosphere-surface-winds, earth-science-infrared-wavelengths-spectral-engineering-brightness-temperature, earth-science-microwave-spectral-engineering-brightness-temperature
Organization: National Aeronautics and Space Administration
SMEX02 Watershed Vitel Network Soil Moisture Data, Walnut Creek, Iowa, Version 1

This data set contains several parameters measured for the Soil Moisture Experiment 2002 (SMEX02).

Tags: earth-science-soils-agriculture-electrical-conductivity, earth-science-soils-agriculture-soil-moisture-water-content, earth-science-soils-agriculture-soil-salinity-soil-sodicity, earth-science-soils-agriculture-soil-temperature, earth-science-soils-land-surface-electrical-conductivity, earth-science-soils-land-surface-soil-moisture-water-content, earth-science-soils-land-surface-soil-salinity-soil-sodicity, earth-science-soils-land-surface-soil-temperature, earth-science-surface-thermal-properties-land-surface-land-surface-temperature
Organization: National Aeronautics and Space Administration
SMEX02 Soil Moisture Atmosphere Coupling Experiment (SMACEX), Iowa, Version 1

This data set contains measurements collected from flights conducted in June and July 2002 over the Walnut Creek watershed in central Iowa, USA.

Tags: earth-science-atmospheric-chemistry-atmosphere-carbon-and-hydrocarbon-compounds-atmospheric-car, earth-science-atmospheric-chemistry-atmosphere-oxygen-compounds-atmospheric-ozone, earth-science-atmospheric-pressure-atmosphere-atmospheric-pressure-measurements, earth-science-atmospheric-radiation-atmosphere-heat-flux, earth-science-atmospheric-radiation-atmosphere-net-radiation, earth-science-atmospheric-temperature-atmosphere-surface-temperature-air-temperature, earth-science-atmospheric-winds-atmosphere-surface-winds, earth-science-atmospheric-winds-atmosphere-upper-level-winds-flight-level-winds, earth-science-atmospheric-winds-atmosphere-wind-profiles, earth-science-vegetation-biosphere-vegetation-index
Organization: National Aeronautics and Space Administration
SOLVE I ER-2 Aircraft In-situ Aerosol Data

SOLVE1_Aerosol_AircraftInSItu_ER2_Data is the in-situ aerosol data for the ER-2 aircraft collected during the SAGE III Ozone Loss and Validation Experiment (SOLVE). Data were collected by instruments such as the Multiple-Angle Aerosol Spectrometer Probe (MASPR), Condensation Nuclei Counter (CNC), Focused Cavity Aerosol Spectrometer II (FCAS II), and the Nucleation-Mode Aerosol Size Spectrometer II (N-MASS). Data collection for this product is complete. The SOLVE campaign was a NASA multi-program effort of the Upper Atmosphere Research Program (UARP), Atmospheric Effects of Aviation Project (AEAP), Atmospheric Chemistry Modeling and Analysis Program (ACMAP) and Earth Observing System (EOS) of NASA’s Earth Science Enterprise (ESE). SOLVE’s primary objective was for calibrating and validating the Stratospheric Aerosol and Gas Experiment (SAGE) III satellite measurements, while examining the processes that controlled ozone levels at a mid- to high-latitude range. The major goal of SAGE III was to quantitatively assess ozone loss at high latitudes. SOLVE was a two-phase experiment, the first phase, SOLVE, occurred during the fall of 1999 through the spring of 2000. The second phase, SOLVE II, occurred during the winter of 2003. SOLVE took place in the Arctic high-latitude region during the winter. The polar ozone depletion processes cause by human-produced chlorine and bromine are most active in mid-to-late winter and early spring in the high Arctic. In order to conduct this validation experiment, NASA deployed the NASA ER-2 aircraft and NASA DC-8 aircraft. The ER-2 measured a variety of atmospheric data, including ozone (O3), H2O, CO2, ClONO2, HCl, ClO/BrO, and Cl2O2. The DC-8 aircraft measured ozone, ClO/BrO, and aerosol, among other atmospheric data. SOLVE also utilized balloon platforms, ground-based instruments, and collaborations with the German Aerospace Center’s (DLR) FALCON aircraft equipped with the OLEX Lidar to achieve the mission objectives. Overall, the campaign had 28 flights, with SOLVE featuring 17 total flights among the different aircrafts and SOLVE II featuring 11 flights.

Tags: earth-science-aerosols-atmosphere, earth-science-aerosols-atmosphere-aerosol-particle-properties, earth-science-clouds-atmosphere-cloud-microphysics-particle-size-distribution
Organization: National Aeronautics and Space Administration
SOLVE I DC-8 Aircraft High Spectral Resolution Lidar (HSRL) Data

SOLVE1_AircraftRemoteSensing_DC8_HSRL_Data is the remotely sensed trace gas data for the DC-8 aircraft collected during the SAGE III Ozone Loss and Validation Experiment (SOLVE) by the High Spectral Resolution Lidar (HSRL). Data collection for this product is complete. The SOLVE campaign was a NASA multi-program effort of the Upper Atmosphere Research Program (UARP), Atmospheric Effects of Aviation Project (AEAP), Atmospheric Chemistry Modeling and Analysis Program (ACMAP) and Earth Observing System (EOS) of NASA’s Earth Science Enterprise (ESE). SOLVE’s primary objective was for calibrating and validating the Stratospheric Aerosol and Gas Experiment (SAGE) III satellite measurements, while examining the processes that controlled ozone levels at a mid- to high-latitude range. The major goal of SAGE III was to quantitatively assess ozone loss at high latitudes. SOLVE was a two-phase experiment, the first phase, SOLVE, occurred during the fall of 1999 through the spring of 2000. The second phase, SOLVE II, occurred during the winter of 2003. SOLVE took place in the Arctic high-latitude region during the winter. The polar ozone depletion processes cause by human-produced chlorine and bromine are most active in mid-to-late winter and early spring in the high Arctic. In order to conduct this validation experiment, NASA deployed the NASA ER-2 aircraft and NASA DC-8 aircraft. The ER-2 measured a variety of atmospheric data, including ozone (O3), H2O, CO2, ClONO2, HCl, ClO/BrO, and Cl2O2. The DC-8 aircraft measured ozone, ClO/BrO, and aerosol, among other atmospheric data. SOLVE also utilized balloon platforms, ground-based instruments, and collaborations with the German Aerospace Center’s (DLR) FALCON aircraft equipped with the OLEX Lidar to achieve the mission objectives. Overall, the campaign had 28 flights, with SOLVE featuring 17 total flights among the different aircrafts and SOLVE II featuring 11 flights.

Tags: earth-science-aerosols-atmosphere, earth-science-aerosols-atmosphere-aerosol-backscatter, earth-science-aerosols-atmosphere-aerosol-particle-properties
Organization: National Aeronautics and Space Administration
SOLVE I DC-8 Aircraft Remotely Sensed Lidar Atmospheric Sensing Experiment (LASE) Data

SOLVE1_AircraftRemoteSensing_DC8_LASE_Data is the remotely sensed trace gas data for the DC-8 aircraft collected during the SAGE III Ozone Loss and Validation Experiment (SOLVE) by the Lidar Atmospheric Sensing Experiment (LASE) instrument. Data collection for this product is complete. The SOLVE campaign was a NASA multi-program effort of the Upper Atmosphere Research Program (UARP), Atmospheric Effects of Aviation Project (AEAP), Atmospheric Chemistry Modeling and Analysis Program (ACMAP) and Earth Observing System (EOS) of NASA’s Earth Science Enterprise (ESE). SOLVE’s primary objective was for calibrating and validating the Stratospheric Aerosol and Gas Experiment (SAGE) III satellite measurements, while examining the processes that controlled ozone levels at a mid- to high-latitude range. The major goal of SAGE III was to quantitatively assess ozone loss at high latitudes. SOLVE was a two-phase experiment, the first phase, SOLVE, occurred during the fall of 1999 through the spring of 2000. The second phase, SOLVE II, occurred during the winter of 2003. SOLVE took place in the Arctic high-latitude region during the winter. The polar ozone depletion processes cause by human-produced chlorine and bromine are most active in mid-to-late winter and early spring in the high Arctic. In order to conduct this validation experiment, NASA deployed the NASA ER-2 aircraft and NASA DC-8 aircraft. The ER-2 measured a variety of atmospheric data, including ozone (O3), H2O, CO2, ClONO2, HCl, ClO/BrO, and Cl2O2. The DC-8 aircraft measured ozone, ClO/BrO, and aerosol, among other atmospheric data. SOLVE also utilized balloon platforms, ground-based instruments, and collaborations with the German Aerospace Center’s (DLR) FALCON aircraft equipped with the OLEX Lidar to achieve the mission objectives. Overall, the campaign had 28 flights, with SOLVE featuring 17 total flights among the different aircrafts and SOLVE II featuring 11 flights.

Tags: earth-science-aerosols-atmosphere, earth-science-aerosols-atmosphere-aerosol-particle-properties, earth-science-atmospheric-water-vapor-atmosphere-water-vapor-profiles, earth-science-atmospheric-water-vapor-atmosphere-water-vapor-profiles-water-vapor-concentration, earth-science-atmospheric-water-vapor-atmosphere-water-vapor-profiles-water-vapor-mixing-ratio
Organization: National Aeronautics and Space Administration
SOLVE I Miscellaneous DC-8 Aircraft Data

SOLVE1_Miscellaneous_DC8_Data is the supplementary miscellaneous data for the DC-8 aircraft collected during the SAGE III Ozone Loss and Validation Experiment (SOLVE). Data collection for this product is complete. The SOLVE campaign was a NASA multi-program effort of the Upper Atmosphere Research Program (UARP), Atmospheric Effects of Aviation Project (AEAP), Atmospheric Chemistry Modeling and Analysis Program (ACMAP) and Earth Observing System (EOS) of NASA’s Earth Science Enterprise (ESE). SOLVE’s primary objective was for calibrating and validating the Stratospheric Aerosol and Gas Experiment (SAGE) III satellite measurements, while examining the processes that controlled ozone levels at a mid- to high-latitude range. The major goal of SAGE III was to quantitatively assess ozone loss at high latitudes. SOLVE was a two-phase experiment, the first phase, SOLVE, occurred during the fall of 1999 through the spring of 2000. The second phase, SOLVE II, occurred during the winter of 2003. SOLVE took place in the Arctic high-latitude region during the winter. The polar ozone depletion processes cause by human-produced chlorine and bromine are most active in mid-to-late winter and early spring in the high Arctic. In order to conduct this validation experiment, NASA deployed the NASA ER-2 aircraft and NASA DC-8 aircraft. The ER-2 measured a variety of atmospheric data, including ozone (O3), H2O, CO2, ClONO2, HCl, ClO/BrO, and Cl2O2. The DC-8 aircraft measured ozone, ClO/BrO, and aerosol, among other atmospheric data. SOLVE also utilized balloon platforms, ground-based instruments, and collaborations with the German Aerospace Center’s (DLR) FALCON aircraft equipped with the OLEX Lidar to achieve the mission objectives. Overall, the campaign had 28 flights, with SOLVE featuring 17 total flights among the different aircrafts and SOLVE II featuring 11 flights.

Tags: earth-science-atmospheric-temperature-atmosphere, earth-science-atmospheric-temperature-atmosphere-surface-temperature-static-temperature, earth-science-atmospheric-water-vapor-atmosphere-water-vapor-indicators-humidity, earth-science-atmospheric-water-vapor-atmosphere-water-vapor-indicators-humidity-relative-humid, earth-science-atmospheric-winds-atmosphere, earth-science-atmospheric-winds-atmosphere-wind-dynamics, earth-science-atmospheric-winds-atmosphere-wind-dynamics-vorticity, earth-science-atmospheric-winds-atmosphere-wind-dynamics-vorticity-potential-vorticity
Organization: National Aeronautics and Space Administration