AndreaBozzo/ceres-open-data-index huggingface dataset:
SEDIMENT ANALYSIS NETWORK FOR DECISION SUPPORT (SANDS) MODIS GULF SUBSETTED V1

Sediment Analysis Network for Decision Support (SANDS) MODIS Gulf Subsetted dataset consists of daytime images for Terra and Aqua MODIS Reflectance bands 8-16, subsetted to 31-27N latitude and 90-84.25W longitude (Gulf of America coastline in Alabama and portions of Florida) from September 11, 2000 to September 9, 2008. These are seasonal data for storms. The Sediment Analysis Network for Decision Support (SANDS) analyzes GeoTIFF images to determine sediment redistribution after a hurricane on the Gulf coast and then creates a product based on the analysis.

Tags: earth-science-coastal-processes-oceans-sediment-transport, earth-science-coastal-processes-oceans-sedimentation, earth-science-erosion-sedimentation-land-surface-erosion, earth-science-erosion-sedimentation-land-surface-sediment-transport, earth-science-erosion-sedimentation-land-surface-sedimentation, earth-science-erosion-sedimentation-land-surface-sediments
Organization: National Aeronautics and Space Administration
Soil Moisture Profiles and Temperature Data from SoilSCAPE Sites, Version 2

This dataset contains in-situ soil moisture profile and soil temperature data collected at 30-minute intervals at SoilSCAPE (Soil moisture Sensing Controller and oPtimal Estimator) project sites since 2021 in the United States and New Zealand. The SoilSCAPE network has used wireless sensor technology to acquire high temporal resolution soil moisture and temperature data over varying durations since 2011. Since 2021, the SoilSCAPE has upgraded the two previously active sites in Arizona and added several new sites in the United States and New Zealand. These new sites typically use the METER Teros-12 soil moisture sensor. At its maximum, the new network consisted of 57 wireless sensor installations (nodes), with a range of 6 to 8 nodes per site. Each SoilSCAPE site contains multiple wireless end-devices (EDs). Each ED supports up to five soil moisture probes typically installed at 5, 10, 20, and 30 cm below the surface. Sites in Arizona have soil moisture probes installed at up to 75 cm below the surface. Soil conditions (e.g., hard soil or rocks) may have limited sensor placement. The data enables estimation of local-scale soil moisture at high temporal resolution and validation of remote sensing estimates of soil moisture at regional and national (e.g. NASA's Cyclone Global Navigation Satellite System - CYGNSS and Soil Moisture Active Passive - SMAP) scales. The data are provided in NetCDF format.

Tags: earth-science-soils-land-surface-soil-moisture-water-content, earth-science-soils-land-surface-soil-temperature
Organization: National Aeronautics and Space Administration
SeaWinds on QuikSCAT Level 1B Time-Ordered Earth-Located Sigma0 Version 2

The SeaWinds on QuikSCAT Level 1B dataset contains the geo-located Sigma-0 measurements and antenna pulse "egg" and "slice" geometries as derived from ephemeris and the Level 1A dataset. The pulse "egg" represents the complete footprint of the pulse, which has a spatial geometry of approximately 25 km by 35 km. There are 8 slices that constitute the range-binned components of a pulse each of which has a spatial geometry of approximately 25 km by 7 km. The orientation of the long dimension of the slices varies with the rotation of the antenna and thus does not align with the along/across track orientation of the wind vector grid in the L2B/L2A products. This dataset represents the second reprocessed version of the Level 1B release. Special note: QuikSCAT went into a "non-spinning" mode on 22 November 2009. The final rev number in the nominal Operational "spinning" mode is 54296; the "non-spinning" mode of the instrument continued predominantly until the end of the time series. There were some brief periods of "spinning" in between, which include the following days and rev numbers (identified in parenthesis): 1) 29 January 2013 to 5 February 2013 (7909-71011), 2) 14 March 2013 (71536-71549), 3) 18 March 2013 to 21 March 2013 (71590-71634), and 4) 28 March 2013 to 31 March 2013 (71735-71769). Data during the "non-spinning" mode is not consistently calibrated with data from the "spinning" mode. Furthermore, incidence angles change periodically during the "non-spinning" mode. It is therefore advised that only "expert" users attempt using the data during the "non-spinning" mode. For standard L1B data users who wish to access consistently calibrated L1B data during the "non-spinning" mode, please consider using the L1B Averaged Sigma-0 dataset as alternative, which may be accessed by contacting podaac@podaac.jpl.nasa.gov

Tags: earth-science-radar-spectral-engineering-sigma-naught
Organization: National Aeronautics and Space Administration
SEDIMENT ANALYSIS NETWORK FOR DECISION SUPPORT (SANDS) LANDSAT GEOLOGICAL SURVEY OF AL (GSA) ANALYSIS V1

The Sediment Analysis Network for Decision Support (SANDS) Landsat Geological Survey of AL (GSA) Analysis dataset analyzed changes in the coastal shoreline and sedimentation using Landsat GeoTiff images as part of the Sediment Analysis Network for Decision Support (SANDS) project. The daytime GeoTiffs images from Landsat 5 and Landsat 7 were analyzed for sediment re-distribution after a hurricane over the Gulf of America coastline in Alabama and part of the Florida area (coordinates 31 to 27 North latitude and 90 to 84.25 West longitude). These are seasonal data for storms from 2001-2008. In addition to the analyzed files, the data files include the ESRI files for zipped bands and grids, metadata, and storm temporal information for the sediment analysis images.

Tags: earth-science-coastal-processes-oceans-erosion, earth-science-coastal-processes-oceans-sediment-transport, earth-science-coastal-processes-oceans-sedimentation, earth-science-erosion-sedimentation-land-surface-erosion, earth-science-erosion-sedimentation-land-surface-sediment-transport, earth-science-erosion-sedimentation-land-surface-sedimentation, earth-science-erosion-sedimentation-land-surface-sediments
Organization: National Aeronautics and Space Administration
Soil Reflectance Data (FIFE)

Soil reflectance properties are an important factor in determining landscape reflectance characteristics. No soil reflectance data were collected as part of the FIFE experiment. Therefore, the FIS staff choose spectra from soils similar to those in the FIFE study area from the atlas of soil reflectance properties (Stoner et al., 1980). The atlas represents a wide range of soil types, and FIS staff choose spectra from soils similar to those in the FIFE study area. The selection of spectra was based on soil particle size, organic carbon content, taxonomic classification, and geography of soils found in the FIFE study area. All measurements were made on uniformly moist, sieved soils, which were equilibrated for 24 hours at a one-tenth bar moisture tension. Soil reflectance was measured using an Exotech Model 20 C spectroradiometer adapted for indoor use with a reflectometer equipped with an artificial illumination source, transfer optics, and sample stage. Spectral readings were taken in 0.01 micrometer increments over the 0.52 to 2.32 micrometer wavelength range.

Tags: earth-science-atmospheric-radiation-atmosphere-reflectance
Organization: National Aeronautics and Space Administration
Seedling Canopy Chemistry, 1992-1993 (ACCP)

This data set describes the nitrogen and chlorophyll content of small, monospecific canopies formed from seedlings of Douglas-fir (Pseudotsuga menziesii) and bigleaf maple (Acer macrophyllum). The trees were provided different levels of fertilization in order to produce canopies with varying nitrogen and chlorophyll concentration. For the Douglas-fir, fertilization was provided during the dormant season, so there were no differences in growth or leaf area among canopies, and canopies were at a constant density with varying foliar chemistry. For the maple, seedlings were aggregated at various densities, producing a matrix of leaf area as well as chemistry variations. Before destructive analysis for foliar chemistry, canopy reflectance was measured under natural sunlight (see ACCP Seedling Canopy Reflectance Spectra Data).

Tags: earth-science-vegetation-biosphere-carbon, earth-science-vegetation-biosphere-chlorophyll, earth-science-vegetation-biosphere-leaf-characteristics, earth-science-vegetation-biosphere-nitrogen, earth-science-vegetation-biosphere-vegetation-species
Organization: National Aeronautics and Space Administration
Soil Survey Reference (FIFE)

The objectives of this study were to collect soil survey information from the FIFE study area, determine the soil types at the FIFE sites, and characterize the physical and chemical properties of the soils. The Soil Properties Reference Information Data Set provide a description of the soils and their properties at the FIFE study sites as described by the U.S. Soil Conservation Service. Five stations representative of the Clime, Benfield, Dwight, Florence, and Tully soil types were selected, and a detailed description of the soil profile at each of these five sites was made. Soil samples from the surface down to bedrock were collected from the horizons and analyzed for bulk density, particle size distribution, moisture retention at 1/3 and 15 bar suctions, cation exchange capacity, and other chemical and physical properties, using standard procedures (Soil Survey Staff 1984).

Tags: earth-science-soils-land-surface-organic-matter, earth-science-soils-land-surface-soil-color, earth-science-soils-land-surface-soil-horizons-profile, earth-science-soils-land-surface-soil-structure
Organization: National Aeronautics and Space Administration
Soil temperatures from Disko Island (Qeqertarsuaq/Godhavn), Greenland, Version 1

A meteorological station at 69 deg 15'N, 53 deg 34'W, Godhavn village, Greenland, measured air temperatures at 6 m above the ground, and soil temperatures (deg C) at 0.05 m, 0.6 m, 1.75 m, and 3 m below the surface. The station automatically measured data every half hour. Data extend from 01 January 1991 to 16 November 2002. Data are in tab-delimited ASCII text format and are available via FTP.

Tags: earth-science-atmospheric-temperature-atmosphere-surface-temperature-air-temperature, earth-science-frozen-ground-cryosphere-soil-temperature
Organization: National Aeronautics and Space Administration
SMEX02 Soil Moisture and Temperature Profiles, Walnut Creek, Iowa, Version 1

This data set contains rainfall, soil moisture, and soil temperature data collected for the Soil Moisture Experiment 2002 (SMEX02).

Tags: earth-science-precipitation-atmosphere-liquid-precipitation-rain, earth-science-precipitation-atmosphere-precipitation-amount, earth-science-soils-land-surface-soil-moisture-water-content, earth-science-soils-land-surface-soil-temperature
Organization: National Aeronautics and Space Administration
SMEX02 European Remote Sensing Satellite (ERS-2) AMI Data, Iowa, Version 1

This data set consists of browse images acquired by the C-band Active Microwave Instrument (AMI) onboard the European Remote Sensing Satellite 2 (ERS-2) and provides only a general quality assessment of the ERS-2 AMI data.

Tags: earth-science-microwave-spectral-engineering-microwave-imagery
Organization: National Aeronautics and Space Administration
SMEX02 Soil Climate Analysis Network (SCAN) Station 2031, Ames, Iowa, Version 1

This data set provides data from various sensors on the Soil Climate Analysis Network (SCAN) station number 2031, located near Ames, Iowa, USA.

Tags: earth-science-atmospheric-radiation-atmosphere-solar-radiation, earth-science-atmospheric-temperature-atmosphere-surface-temperature-air-temperature, earth-science-atmospheric-water-vapor-atmosphere-water-vapor-indicators-humidity, earth-science-atmospheric-winds-atmosphere-surface-winds, earth-science-frozen-ground-cryosphere-soil-temperature, earth-science-precipitation-atmosphere-precipitation-amount, earth-science-soils-land-surface-soil-moisture-water-content, earth-science-surface-thermal-properties-land-surface-land-surface-temperature
Organization: National Aeronautics and Space Administration
SMEX03 ALMNet and SCAN Soil Moisture Data: 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 includes soil moisture data collected at crop, pasture, and forested sites located within the Alabama MesoNet (ALMNet) network.

Tags: earth-science-precipitation-atmosphere-precipitation-amount, earth-science-soils-agriculture-soil-moisture-water-content, earth-science-soils-agriculture-soil-temperature
Organization: National Aeronautics and Space Administration
SOLVE I DC-8 Aircraft Remotely Sensed Trace Gas Data

SOLVE1_TraceGas_AircraftRemoteSensing_DC8_Data is the remotely sensed trace gas data for the DC-8 aircraft collected during the SAGE III Ozone Loss and Validation Experiment (SOLVE). Data were collected by the Airborne Submillimeter Radiometer (ASUR) 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-atmospheric-chemistry-atmosphere-halocarbons-and-halogens, earth-science-atmospheric-chemistry-atmosphere-halocarbons-and-halogens-chlorine-monoxide, earth-science-atmospheric-chemistry-atmosphere-halocarbons-and-halogens-hydrogen-chloride, earth-science-atmospheric-chemistry-atmosphere-nitrogen-compounds, earth-science-atmospheric-chemistry-atmosphere-nitrogen-compounds-atmospheric-nitric-acid, earth-science-atmospheric-chemistry-atmosphere-nitrogen-compounds-nitrous-oxide, earth-science-atmospheric-chemistry-atmosphere-oxygen-compounds, earth-science-atmospheric-chemistry-atmosphere-oxygen-compounds-atmospheric-ozone
Organization: National Aeronautics and Space Administration
SOLVE I DC-8 Aircraft Remotely Sensed Lidar Data

SOLVE1_AircraftRemoteSensing_DC8_Lidar_Data is the remotely sensed lidar trace gas data for the DC-8 aircraft collected during the SAGE III Ozone Loss and Validation Experiment (SOLVE). Data were collected by Differential Absorption Lidar (DIAL) and the Airborne Raman Ozone, Temperature, and Aerosol Lidar (AROTAL). 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, earth-science-atmospheric-chemistry-atmosphere-oxygen-compounds, earth-science-atmospheric-chemistry-atmosphere-oxygen-compounds-atmospheric-ozone
Organization: National Aeronautics and Space Administration
SMEX02 Landsat Thematic Mapper Imagery, Iowa, Version 1

This data set provides imagery developed from Landsat 5 and 7 Thematic Mapper (TM) data for use in studying land cover features during the Soil Moisture Experiment 2002 (SMEX02). The images are the result of combining bands 4, 3, and 2 as red, green, and blue to generate false-color composites.

Tags: earth-science-infrared-wavelengths-spectral-engineering-infrared-imagery, earth-science-infrared-wavelengths-spectral-engineering-infrared-radiance, earth-science-infrared-wavelengths-spectral-engineering-reflected-infrared, earth-science-radar-spectral-engineering-radar-imagery
Organization: National Aeronautics and Space Administration
SOLVE I DC-8 Aircraft In-situ Meteorology and Navigational Data

SOLVE1_MetNav_AircraftInSItu_DC8_Data is the in-situ meteorological and navigational data for the DC-8 aircraft collected during the SAGE III Ozone Loss and Validation Experiment (SOLVE). Also featured in this product is water vapor data from the Diode Laser Hygrometer (DLH) and JPL Laser Hygrometer (JLH). 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-altitude-atmosphere, earth-science-altitude-atmosphere-tropopause, earth-science-atmospheric-pressure-atmosphere, earth-science-atmospheric-pressure-atmosphere-static-pressure, earth-science-atmospheric-temperature-atmosphere-surface-temperature-potential-temperature, earth-science-atmospheric-temperature-atmosphere-surface-temperature-static-temperature, earth-science-atmospheric-water-vapor-atmosphere-water-vapor-indicators-dew-point-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-water-vapor-atmosphere-water-vapor-indicators-saturation-vapor-pressu, earth-science-atmospheric-water-vapor-atmosphere-water-vapor-profiles, earth-science-atmospheric-water-vapor-atmosphere-water-vapor-profiles-water-vapor-mixing-ratio
Organization: National Aeronautics and Space Administration
SMEX03 SSM/I Brightness Temperature Data, Alabama, Version 1

This data set provides brightness temperature data acquired during the Soil Moisture Experiment 2003 (SMEX03) by the Special Sensor Microwave/Imager (SSM/I) conducted in the SMEX03 Oklahoma, the Alabama/Georgia, and Brazil study areas.

Tags: earth-science-microwave-spectral-engineering-brightness-temperature
Organization: National Aeronautics and Space Administration
SMEX03 Soil Texture Data: 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 ancillary data file provides soil texture classes for Soil Climate and Analysis (SCAN) sites in northern Alabama, USA associated with the Soil Moisture Experiment 2003 (SMEX03).

Tags: earth-science-soils-land-surface-soil-texture
Organization: National Aeronautics and Space Administration
Sentinel-1 Single Look Complex (SLC) Bursts

Sentinel-1 Interferometric Wide (IW) and Extra Wide (EW) swath modes are collected using a form of ScanSAR imaging called Terrain Observation with Progressive Scans SAR (TOPSAR). With TOPSAR data is acquired in bursts by cyclically switching the antenna beam between multiple adjacent sub-swaths. Sentinel-1 Single Look Complex (SLC) products contain one image per sub-swath and one per polarization channel. Each sub-swath image consists of a series of overlapping bursts, where each burst has been processed as a separate SLC image. The Sentinel-1 Single Look Complex (SLC) Bursts collection identifies each burst from an individual IW or EW SLC product. The granule metadata describes the burst and provides links to a service which extracts the burst image from the SLC product and returns a GeoTIFF file. A link is also provided to the same service to extract the supplemental metadata files from the SLC product and return an XML file. The granules in the collection are generated for the life of the Sentinel-1 mission and include both Sentinel-1A and Sentinel-1B SLC products from both the IW and EW mode.

Tags: earth-science-coastal-processes-oceans, earth-science-geomorphic-landforms-processes-land-surface, earth-science-geomorphic-landforms-processes-solid-earth, earth-science-glaciers-ice-sheets-cryosphere, earth-science-tectonics-solid-earth
Organization: National Aeronautics and Space Administration