AndreaBozzo/ceres-open-data-index huggingface dataset:
Site Averaged Neutron Soil Moisture: 1988 (Betts)

The Site Averaged Neutron Soil Moisture Data: 1988 (Betts) Data Set contains the site averaged product data of the neutron probe soil moisture collected during the 1987-1989 FIFE experiment. Samples were averaged for each site, then averaged for each day. This data set includes only 1988 data.

Tags: earth-science-soils-land-surface-soil-moisture-water-content
Organization: National Aeronautics and Space Administration
SISTER: Experimental Workflows, Product Generation Environment, and Sample Data, V004

The Space-based Imaging Spectroscopy and Thermal pathfindER (SISTER) activity originated in support of the NASA Earth System Observatory's Surface Biology and Geology (SBG) mission to develop prototype workflows with community algorithms and generate prototype data products envisioned for SBG. SISTER focused on developing a data system that is open, portable, scalable, standards-compliant, and reproducible. This collection contains EXPERIMENTAL workflows and sample data products, including (a) the Common Workflow Language (CWL) process file and a Jupyter Notebook that run the entire SISTER workflow capable of generating experimental sample data products spanning terrestrial ecosystems, inland and coastal aquatic ecosystems, and snow, (b) the archived algorithm steps (as OGC Application Packages) used to generate products at each step of the workflow, (c) a small number of experimental sample data products produced by the workflow which are based on the Airborne Visible/Infrared Imaging Spectrometer-Classic (AVIRIS or AVIRIS-CL) instrument, and (d) instructions for reproducing the sample products included in this dataset. DISCLAIMER: This collection contains experimental workflows, experimental community algorithms, and experimental sample data products to demonstrate the capabilities of an end-to-end processing system. The experimental sample data products provided have not been fully validated and are not intended for scientific use. The community algorithms provided are placeholders which can be replaced by any user's algorithms for their own science and application interests. These algorithms should not in any capacity be considered the algorithms that will be implemented in the upcoming Surface Biology and Geology mission.

Tags: earth-science-land-use-land-cover-land-surface, earth-science-snow-ice-cryosphere-snow-cover, earth-science-surface-radiative-properties-land-surface-reflectance, earth-science-ultraviolet-wavelengths-spectral-engineering-ultraviolet-radiance, earth-science-vegetation-biosphere-chlorophyll, earth-science-vegetation-biosphere-leaf-characteristics, earth-science-vegetation-biosphere-nitrogen, earth-science-visible-wavelengths-spectral-engineering-visible-radiance, earth-science-water-quality-water-chemistry-terrestrial-hydrosphere-water-characteristics-chlor
Organization: National Aeronautics and Space Administration
Small Grant for Exploratory Research (SGER) program to study the Chesapeake Bay in 2003

Measurements sponsored by the NSF Small Grant for Exploratory Research (SGER) program to study the Chesapeake Bay in 2003.

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
SLSTR/Sentinel-3B L1 Full Resolution Top of Atmosphere Radiances and Brightness Temperature

The SLSTR/Sentinel-3B L1 Full Resolution Top of Atmosphere Radiances and Brightness Temperature product with shortname S3B_SL_1_RBT, is generated from the data acquired by the Sea and Land Surface Temperature Radiometer (SLSTR), on-board SENTINEL-3, is a dual scan temperature radiometer. The principal aim of the SLSTR instrument is to maintain continuity with the AATSR series of instruments. The SLSTR instrument design incorporates the basic functionality of AATSR in addition to new, more advanced features including a wider swath, new channels (including two channels dedicated to fire detection), and higher resolution in some channels. The principal objective of SLSTR products is to provide global and regional Sea and Land Surface Temperature (SST, LST) to a very high level of accuracy (better than 0.3 K) for both climatological and meteorological applications. For more information about the instrument and the mission, visit "Sentinel Online" at https://sentinel.esa.int/web/sentinel/home. The S3B_SL_1_RBT is a Level 1B product which consist of full resolution, geolocated, co-located nadir and along track view, Top of Atmosphere (TOA) brightness temperatures (in the case of thermal IR channels) or radiances (in the case of visible, NIR and SWIR channels) from all SLSTR channels. It also contains quality flags, pixel classification information and meteorological annotations. Based on components activated by configuration which are not part of the operational production baseline, the S3B_SL_1_RBT may contain 77 or 111 files. Out of the these files, 22 or 34 files contain the actual measurements, where the other 54 or 76 files contain the annotations data. For more information about the product, read the SENTINEL-3 SLSTR User Guide at https://sentinel.esa.int/web/sentinel/user-guides/sentinel-3-slstr

Tags: earth-science-infrared-wavelengths-spectral-engineering-infrared-radiance, earth-science-infrared-wavelengths-spectral-engineering-reflected-infrared, earth-science-platform-characteristics-spectral-engineering, earth-science-platform-characteristics-spectral-engineering-attitude-characteristics, earth-science-sensor-characteristics-spectral-engineering-total-temperature, earth-science-visible-wavelengths-spectral-engineering-visible-radiance
Organization: National Aeronautics and Space Administration
SMAP L1B Polarimetric GNSS Reflectometry, Version 1

This product represents the first full polarimetric Global Navigation Satellite System Reflectometry (GNSS-R) dataset, derived from the Soil Moisture Active Passive (SMAP) mission radar. The main parameters are the normalized Stokes parameters, total power normalized bistatic radar cross section, and reflectivity. The SMAP radar receiver, in bistatic radar configuration, measures the horizontal and vertical components of the Global Positioning System (GPS) signal as it is reflected and scatters from the Earth’s surface. Stokes parameters are computed with these horizontal and vertical polarization measurements. The dataset comprises a full reconstruction of the Earth' surface polarimetric values, with approximately 3,200 observations per day and about 1,200,000 per year.

Tags: earth-science-radar-spectral-engineering-radar-cross-section, earth-science-radar-spectral-engineering-radar-reflectivity, earth-science-radar-spectral-engineering-stokes-parameter
Organization: National Aeronautics and Space Administration
SMAP_L1A_RADAR_RECEIVE_ONLY_QA_V002

SMAP Level 1A Radar Receive Only Data Quality Information Version 2

Tags: earth-observation-satellites-smap-nasa-decadal-survey-soil-moisture-active-and-passive-observat, earth-remote-sensing-instruments-imaging-radars-active-remote-sensing-smap-l-band-radar-smap-l, earth-science-platform-characteristics-spectral-engineering-orbital-characteristics, earth-science-radar-spectral-engineering-radar-imagery, earth-science-radar-spectral-engineering-sigma-naught
Organization: National Aeronautics and Space Administration
SMAP_L1A_RADAR_RECEIVE_ONLY_V002

SMAP Level 1A Radar Receive Only Product Version 2

Tags: earth-observation-satellites-smap-nasa-decadal-survey-soil-moisture-active-and-passive-observat, earth-remote-sensing-instruments-imaging-radars-active-remote-sensing-smap-l-band-radar-smap-l, earth-science-platform-characteristics-spectral-engineering-orbital-characteristics, earth-science-radar-spectral-engineering-radar-imagery, earth-science-radar-spectral-engineering-sigma-naught
Organization: National Aeronautics and Space Administration
Southern Ocean Pre-SWOT Level-4 Hourly MITgcm LLC4320 Native Grid 2km Oceanographic Dataset Version 1.0

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

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

STAQS_Chiwaukee-Prairie_Data is the data collected at the Chiwaukee Prairie site during the Synergistic TEMPO Air Quality Science (STAQS) mission. Data collection for this product is complete. Launched in April 2023, NASA’s Tropospheric Emissions: Monitoring of Pollution (TEMPO) satellite monitors major air pollutants across North America every daylight hour at high spatial resolution at a geostationary orbit (GEO). With these measurements, NASA’s STAQS mission seeks to integrate TEMPO satellite observations with traditional air quality monitoring to improve understanding of air quality science. STAQS is being conducted during summer 2023, targeting urban areas, including Los Angeles, New York City, and Chicago. As part of the mission two aircraft will be outfitted with various remote sensing payloads. The Johnson Space Center (JSC) Gulfstream-V (G-V) aircraft will feature the GeoCAPE Airborne Simulator (GCAS) and combined High Spectral Resolution Lidar-2 (HSRL-2) and Ozone Differential Absorption Lidar (DIAL). This payload provides repeated high-resolution mapping of NO2, HCHO, ozone, and aerosols up to 3x per day over targeted cities. NASA Langley Research Center’s (LaRC’s) Gulfstream-III will measure city-scale emissions 2x per day over the targeted cities with the High-Altitude Lidar Observatory (HALO) and Airborne Visible InfraRed Imaging Spectrometer – Next Generation (AVIRS-NG). STAQS will also incorporate ground-based tropospheric ozone profiles from the NASA Tropospheric Ozone Lidar Network (TOLNet), NO2, HCHO, and ozone measurements from Pandora spectrometers, and will leverage existing networks operated by the EPA and state air quality agencies. The primary goal of STAQS is to improve our current understanding of air quality science under the TEMPO field of regard. Further goals include evaluating TEMPO level 2 data products, interpreting the temporal and spatial evolution of air quality events tracked by TEMPO, improving temporal estimates of anthropogenic, biogenic, and greenhouse gas emissions, and assessing the benefit of assimilating TEMPO data into chemical transport models.

Tags: earth-science-atmospheric-winds-atmosphere-surface-winds-wind-direction, earth-science-lidar-spectral-engineering, earth-science-lidar-spectral-engineering-lidar-backscatter
Organization: National Aeronautics and Space Administration
SMAP_L1C_SIGMA_NAUGHT_HIGH_RES_METADATA_V002

SMAP Level 1C Sigma Naught High Res Product Metadata Version 2

Tags: earth-observation-satellites-smap-nasa-decadal-survey-soil-moisture-active-and-passive-observat, earth-remote-sensing-instruments-imaging-radars-active-remote-sensing-smap-l-band-radar-smap-l, earth-science-platform-characteristics-spectral-engineering-orbital-characteristics, earth-science-radar-spectral-engineering-radar-imagery, earth-science-radar-spectral-engineering-sigma-naught
Organization: National Aeronautics and Space Administration
SMAP_L1C_SIGMA_NAUGHT_HIGH_RES_QA_V002

SMAP Level 1C Sigma Naught High Res Data Quality Info Version 2

Tags: earth-observation-satellites-smap-nasa-decadal-survey-soil-moisture-active-and-passive-observat, earth-remote-sensing-instruments-imaging-radars-active-remote-sensing-smap-l-band-radar-smap-l, earth-science-platform-characteristics-spectral-engineering-orbital-characteristics, earth-science-radar-spectral-engineering-radar-imagery, earth-science-radar-spectral-engineering-sigma-naught
Organization: National Aeronautics and Space Administration
SMAP_L1B_SIGMA_NAUGHT_LOW_RES_QA_V003

SMAP Level 1B Sigma Naught Low Res Data Quality Info Version 3

Tags: earth-observation-satellites-smap-nasa-decadal-survey-soil-moisture-active-and-passive-observat, earth-remote-sensing-instruments-imaging-radars-active-remote-sensing-smap-l-band-radar-smap-l, earth-science-platform-characteristics-spectral-engineering-orbital-characteristics, earth-science-radar-spectral-engineering-radar-imagery, earth-science-radar-spectral-engineering-sigma-naught
Organization: National Aeronautics and Space Administration
STAQS NASA G-III High Altitude Lidar Observatory (HALO) Data

STAQS_AircraftRemoteSensing_NASA-G3_HALO_Data is the remotely sensed trace gas data for the NASA Gulfstream III aircraft taken by the High Altitude Lidar Observatory (HALO) instrument as part of the Synergistic TEMPO Air Quality Science (STAQS) mission. Data collection for this product is complete. Launched in April 2023, NASA’s Tropospheric Emissions: Monitoring of Pollution (TEMPO) satellite monitors major air pollutants across North America every daylight hour at high spatial resolution at a geostationary orbit (GEO). With these measurements, NASA’s STAQS mission seeks to integrate TEMPO satellite observations with traditional air quality monitoring to improve understanding of air quality science. STAQS is being conducted during summer 2023, targeting urban areas, including Los Angeles, New York City, and Chicago. As part of the mission two aircraft will be outfitted with various remote sensing payloads. The Johnson Space Center (JSC) Gulfstream-V (G-V) aircraft will feature the GeoCAPE Airborne Simulator (GCAS) and combined High Spectral Resolution Lidar-2 (HSRL-2) and Ozone Differential Absorption Lidar (DIAL). This payload provides repeated high-resolution mapping of NO2, HCHO, ozone, and aerosols up to 3x per day over targeted cities. NASA Langley Research Center’s (LaRC’s) Gulfstream-III will measure city-scale emissions 2x per day over the targeted cities with the High-Altitude Lidar Observatory (HALO) and Airborne Visible InfraRed Imaging Spectrometer – Next Generation (AVIRS-NG). STAQS will also incorporate ground-based tropospheric ozone profiles from the NASA Tropospheric Ozone Lidar Network (TOLNet), NO2, HCHO, and ozone measurements from Pandora spectrometers, and will leverage existing networks operated by the EPA and state air quality agencies. The primary goal of STAQS is to improve our current understanding of air quality science under the TEMPO field of regard. Further goals include evaluating TEMPO level 2 data products, interpreting the temporal and spatial evolution of air quality events tracked by TEMPO, improving temporal estimates of anthropogenic, biogenic, and greenhouse gas emissions, and assessing the benefit of assimilating TEMPO data into chemical transport models.

Tags: earth-science-aerosols-atmosphere-aerosol-extinction, earth-science-aerosols-atmosphere-aerosol-optical-depth-thickness, earth-science-aerosols-atmosphere-aerosol-optical-depth-thickness-angstrom-exponent, earth-science-aerosols-atmosphere-aerosol-particle-properties, earth-science-aerosols-atmosphere-dust-ash-smoke, earth-science-atmospheric-chemistry-atmosphere-carbon-and-hydrocarbon-compounds, earth-science-atmospheric-chemistry-atmosphere-carbon-and-hydrocarbon-compounds-methane, earth-science-lidar-spectral-engineering-lidar-backscatter
Organization: National Aeronautics and Space Administration
SMAP_L1C_SIGMA_NAUGHT_HIGH_RES_QA_V003

SMAP Level 1C Sigma Naught High Res Data Quality Info Version 3

Tags: earth-observation-satellites-smap-nasa-decadal-survey-soil-moisture-active-and-passive-observat, earth-remote-sensing-instruments-imaging-radars-active-remote-sensing-smap-l-band-radar-smap-l, earth-science-platform-characteristics-spectral-engineering-orbital-characteristics, earth-science-radar-spectral-engineering-radar-imagery, earth-science-radar-spectral-engineering-sigma-naught
Organization: National Aeronautics and Space Administration
STAQS SeaRey Data

STAQS_SeaRey_Data is the data collected onboard the Progressive Aerodyne SeaRey aircraft during the Synergistic TEMPO Air Quality Science (STAQS) mission. Data collection for this product is complete. Launched in April 2023, NASA’s Tropospheric Emissions: Monitoring of Pollution (TEMPO) satellite monitors major air pollutants across North America every daylight hour at high spatial resolution at a geostationary orbit (GEO). With these measurements, NASA’s STAQS mission seeks to integrate TEMPO satellite observations with traditional air quality monitoring to improve understanding of air quality science. STAQS is being conducted during summer 2023, targeting urban areas, including Los Angeles, New York City, and Chicago. As part of the mission two aircraft will be outfitted with various remote sensing payloads. The Johnson Space Center (JSC) Gulfstream-V (G-V) aircraft will feature the GeoCAPE Airborne Simulator (GCAS) and combined High Spectral Resolution Lidar-2 (HSRL-2) and Ozone Differential Absorption Lidar (DIAL). This payload provides repeated high-resolution mapping of NO2, HCHO, ozone, and aerosols up to 3x per day over targeted cities. NASA Langley Research Center’s (LaRC’s) Gulfstream-III will measure city-scale emissions 2x per day over the targeted cities with the High-Altitude Lidar Observatory (HALO) and Airborne Visible InfraRed Imaging Spectrometer – Next Generation (AVIRS-NG). STAQS will also incorporate ground-based tropospheric ozone profiles from the NASA Tropospheric Ozone Lidar Network (TOLNet), NO2, HCHO, and ozone measurements from Pandora spectrometers, and will leverage existing networks operated by the EPA and state air quality agencies. The primary goal of STAQS is to improve our current understanding of air quality science under the TEMPO field of regard. Further goals include evaluating TEMPO level 2 data products, interpreting the temporal and spatial evolution of air quality events tracked by TEMPO, improving temporal estimates of anthropogenic, biogenic, and greenhouse gas emissions, and assessing the benefit of assimilating TEMPO data into chemical transport models.

Tags: earth-science-aerosols-atmosphere-particulate-matter-particulate-matter-pm-2-5, earth-science-air-quality-atmosphere-tropospheric-ozone, earth-science-atmospheric-chemistry-atmosphere-nitrogen-compounds-nitrogen-dioxide, earth-science-atmospheric-chemistry-atmosphere-oxygen-compounds-atmospheric-ozone, earth-science-atmospheric-chemistry-atmosphere-oxygen-compounds-atmospheric-ozone-ozone-profile, earth-science-atmospheric-pressure-atmosphere-static-pressure, earth-science-atmospheric-temperature-atmosphere-surface-temperature-static-temperature, earth-science-atmospheric-water-vapor-atmosphere-water-vapor-indicators-humidity-relative-humid
Organization: National Aeronautics and Space Administration
SMAP_L1C_SIGMA_NAUGHT_HIGH_RES_METADATA_V003

SMAP Level 1C Sigma Naught High Res Product Metadata Version 3

Tags: earth-observation-satellites-smap-nasa-decadal-survey-soil-moisture-active-and-passive-observat, earth-remote-sensing-instruments-imaging-radars-active-remote-sensing-smap-l-band-radar-smap-l, earth-science-platform-characteristics-spectral-engineering-orbital-characteristics, earth-science-radar-spectral-engineering-radar-imagery, earth-science-radar-spectral-engineering-sigma-naught
Organization: National Aeronautics and Space Administration
SMAP_L1B_SIGMA_NAUGHT_LOW_RES_QA_V001

SMAP Level 1B Sigma Naught Low Res Data Quality Info

Tags: earth-science-platform-characteristics-spectral-engineering-orbital-characteristics, earth-science-radar-spectral-engineering-radar-imagery, earth-science-radar-spectral-engineering-sigma-naught, earth-science-soils-land-surface-soil-moisture-water-content
Organization: National Aeronautics and Space Administration
Stocks of Surface Soil Organic Carbon Fractions, Great Plains Region, USA, 2007-2010

This dataset provides estimates of total organic soil carbon (SOC), pyrogenic (PyC), particulate (POC), and other organic soil carbon (OOC) fractions in 473 surface layer soil samples collected from stratified-sampling locations in Colorado, Kansas, New Mexico, and Wyoming, USA. Terrain, climate, soil, fire, and land cover data used to predict and map SOC, PyC, POC, and OOC at 1 km resolution throughout the study region are also included. The estimates were derived using a best random forest regression model and cover the period 2007-05-01 to 2010-10-01.

Tags: earth-science-land-use-land-cover-land-surface, earth-science-soils-land-surface-carbon, earth-science-soils-land-surface-organic-matter, earth-science-topography-land-surface-topographic-effects
Organization: National Aeronautics and Space Administration
Spatio-temporal Characteristics of Rainfall in Africa, 0.25 degrees, from 1998-2012

This data set describes rainfall distribution statistics over the African continent, including Madagascar. The rainfall estimates are based on data from the NASA Tropical Rainfall Measuring Mission (TRMM) measured between 1998 and 2012. Rainfall patterns were quantified using a gamma-based function and two Markov chain parameters with the aim to summarize the rainfall pattern to a small number of parameters and processes. These summary statistics are suitable for temporal downscaling. These data provide gridded (0.25 x 0.25-degree) estimates of 14-year mean monthly rainfall total amount (mm), frequency (count), intensity (mm/hr), and duration (hrs) of rainfall, as well as Markov chain and gamma-distribution parameters for use in temporal downscaling. The data are presented as a series of 12 netCDF (*.nc) files.

Tags: earth-science-precipitation-atmosphere-liquid-precipitation-rain, earth-science-precipitation-atmosphere-precipitation-amount, earth-science-precipitation-atmosphere-precipitation-rate
Organization: National Aeronautics and Space Administration
Soil Moisture Transect Data (FIFE)

The aim of the FIFE soil moisture transect work was to characterize spatial and temporal patterns of soil moisture along selected transects at the FIFE study area. Two levels of ground data were collected to support the passive microwave (PBMR) flights over the Konza experimental area. The water content measurements were collected using gravimetric methods. Soil moisture measured along a transect is necessary to calibrate airborne moisture instruments or compare data obtained from them. Soil units in a landscape are inherently heterogeneous, which leads to variations in moisture content along an aircraft flight path on the ground. In order to reduce errors, values on the flight path were sampled at close intervals.

Tags: earth-science-soils-land-surface-soil-compaction, earth-science-soils-land-surface-soil-moisture-water-content
Organization: National Aeronautics and Space Administration