AndreaBozzo/ceres-open-data-index huggingface dataset:
AIRS/Aqua L1B Near Real Time (NRT) Infrared (IR) geolocated and calibrated radiances V005 (AIRIBRAD_NRT) at GES DISC

WARNING: On 2021/09/23 the EOS Aqua executed a Deep Space Maneuver (DSM). In the DSM, the spacecraft is turned such that the normal Earth field of regard is deep space.

The thermal impact of the DSM caused a shift of the centroids of spectral response functions (SRF) of about 1% of the width of the SRF, equivalent to a frequency shift of 9 parts per million. This shift is reflected in the “spectral_freq” parameter (observed frequencies) in the L1b v5 files for each 6 minute granule. The magnitude of the effect on brightness temperatures (BT) depends on the spectral gradient of each channel. Maximum BT shifts are approximately +- 0.5 K, although many channels experience far smaller BT shifts. Approximately 1803 channels have BT shifts of less than 0.1 K and 575 channels are now shifted in BT by more than 0.1 K, while 231 of these channels have BT shifts greater than 0.2 K.

Users of the L1b v5 product who are concerned that these shifts may impact their science investigations and applications are encouraged to switch to the AIRS L1c v6.7.4 product, which, among many other improvements, converts the spectra to a fixed frequency grid.         END OF WARNING.



The AIRS Level 1B Near Real Time (NRT) product (AIRIBRAD_NRT_005) differs from the routine product (AIRIBRAD_005) in 2 ways to meet the three hour latency requirements of the Land Atmosphere NRT Capability Earth Observing System (LANCE): (1) The NRT granules are produced without previous or subsequent granules if those granules are not available within 5 minutes, (2) the predictive ephemeris/attitude data are used rather than the definitive ephemeris/attitude. The consequences of these differences are described in the AIRS Near Real Time (NRT) data products document. The Atmospheric Infrared Sounder (AIRS) is a grating spectrometer (R = 1200) aboard the second Earth Observing System (EOS) polar-orbiting platform, EOS Aqua. In combination with the Advanced Microwave Sounding Unit (AMSU) and the Humidity Sounder for Brazil (HSB), AIRS constitutes an innovative atmospheric sounding group of visible, infrared, and microwave sensors. The AIRS Infrared (IR) level 1B data set contains AIRS calibrated and geolocated radiances in milliWatts/m^2/cm^-1/steradian for 2378 infrared channels in the 3.74 to 15.4 micron region of t he spectrum. The AIRS instrument is co-aligned with AMSU-A so that successive blocks of 3 x 3 AIRS footprints are contained within one AMSU-A footprint. The AIRIBRAD_NRT_005 products are stored in files (often referred to as "granules") that contain 6 minutes of data, 90 footprints across track by 135 lines along track.

Tags: aerosols, atmosphere, atmospheric-chemistry, earth-science, infrared-wavelengths, spectral-engineering
Organization: National Aeronautics and Space Administration
DXC'11 Industrial Track Sample Data

The sample scenarios provided here are competition scenarios from Diagnostic Problems I and II of DXC'10. The zip file has a spreadsheet (and pdf) that lists the scenarios and relevant fault information. Each scenario is provided in three formats: tab-delimited .txt file, Matlab .mat file, and tab-delimited .scn file. The different formats are provided for your convenience; they have the same data. The scenario (.scn) files are the format read by the DXC framework. See the system catalogs and schematics for additional information.

For those involved in last year's competition, note that DXC'10 Diagnostic Problem I competition data posted last year (dated 20101105) had some problems which were fixed in the DPI sample data set posted here. The battery "AbruptParasiticLoad" scenario (Exp. 1311) was removed as it was found to have different behavior prior to fault injection than nominal scenarios. Exp 1229_015f was too short (224 seconds) and was removed. Several runs caused an issue when a value was expected to be a real but was interpreted as an integer in the framework (1251, 1285, 1316, 1323, and 1330); this has been fixed.

There are no "AbruptParasiticLoad" faults in the DXC11 DPI competition data.

Tags: ames, dashlink, nasa
Organization: National Aeronautics and Space Administration
High Mountain Asia ASCAT Freeze/Thaw/Melt Status V001

This data set contains bulk landscape frozen or thawed status over seasonally frozen land, as well as snowmelt status over glacierized areas for the High Mountain Asia region. Daily Freeze/Thaw/Melt (F/T/M) status is derived from vertically polarized (V-pol) C-band (5.255 GHz) backscatter measurements that were acquired by the Advanced Scatterometer (ASCAT) on EUMETSAT Metop-A and Metop-B satellites. Swath-ordered observations are spatially enhanced using the Scatterometer Image Reconstruction (SIR) algorithm, posted on Earth-fixed 4.45 km grids, and interpolated to a daily product from the original 3-day A.M. overpasses.

Tags: cryosphere, earth-science, snow-ice
Organization: National Aeronautics and Space Administration
nu-Anomica: A Fast Support Vector Based Anomaly Detection Technique

In this paper we propose $\nu$-Anomica, a novel anomaly detection technique that can be trained on huge data sets with much reduced running time compared to the benchmark one-class Support Vector Machines algorithm. In $\nu$-Anomica, the idea is to train the machine such that it can provide a close approximation to the exact decision plane using fewer training points and without losing much of the generalization performance of the classical approach. We have tested the proposed algorithm on a variety of continuous data sets under different conditions. We show that under all test conditions the developed procedure closely preserves the accuracy of standard one-class Support Vector Machines while reducing both the training time and the test time by 5-20 times.

Tags: ames, dashlink, nasa
Organization: National Aeronautics and Space Administration
TROPICS01 Pathfinder L2B Instantaneous Surface Rain Rate (ISRR) V1.0

The "Time-Resolved Observations of Precipitation structure and storm Intensity with a Constellation of Smallsats" (TROPICS) mission has a goal of providing nearly all-weather observations of three-dimensional temperature and humidity, as well as cloud ice and precipitation horizontal structure, at high temporal resolution to conduct high-value science investigations of tropical cyclones.  The mission comprises a constellation of six identical Space Vehicles (SVs) conforming to the 3U form factor and hosting a passive microwave spectrometer payload.  This dataset is produced from the Pathfinder satellite, a single 3U small satellite, which has launched previous to the constellation, on a sun-synchronous orbital plane.

Each SV hosts an identical high-performance spectrometer named the TROPICS Millimeter-wave Sounder (TMS) that will provide temperature profiles using seven channels near the 118.75-GHz oxygen absorption line, water vapor profiles using three channels near the 183-GHz water vapor absorption line, imagery in a single channel near 90 GHz for precipitation measurements (when combined with higher resolution water vapor channels), and a single channel near 205 GHz that is more sensitive to cloud-sized ice particles.

This dataset is from the Pathfinder satellite, as the full version of the Level 1a geolocated antenna temperatures (radiance) in units of kelvins that are timestamped to UTC and are reported at native spatial resolutions.  Each TROPICS netCDF file contains a granule of data with 81 spots and approximately 2880 scans, where a granule is defined as an orbit's worth of data.

Tags: earth-science, microwave, spectral-engineering
Organization: National Aeronautics and Space Administration
USAGE OF DISSIMILARITY MEASURES AND MULTIDIMENSIONAL SCALING FOR LARGE SCALE SOLAR DATA ANALYSIS

USAGE OF DISSIMILARITY MEASURES AND MULTIDIMENSIONAL SCALING FOR LARGE SCALE SOLAR DATA ANALYSIS

Juan M Banda, Rafal Anrgyk

ABSTRACT: This work describes the application of several dissimilarity measures combined with multidimensional scaling for large scale solar data analysis.  Using the first solar domain-specific benchmark data set that contains multiple types of phenomena, we investigated combination of different image parameters with different dissimilarity measure sin order to determine which combination will allow us to differentiate our solar data within each class and versus the rest of the classes. In this work we also address the issue of reducing dimensionality by applying multidimensional scaling to our dissimilarity matrices produced by the previously mentioned combination.  By applying multidimensional scaling we can investigate how many resulting components are needed in order to maintain a good representation of our data (in an artificial dimensional space) and how many can be discarded in order to economize our storage costs.  We present a comparative analysis between different classifiers in order to determine the amount of dimensionality reduction that can be achieved with said combination of image parameters, similarity measure and multidimensional scaling.

Tags: ames, dashlink, nasa
Organization: National Aeronautics and Space Administration
Near-Real-Time SSM/I EASE-Grid Daily Global Ice Concentration and Snow Extent V002

The Near-real-time Ice and Snow Extent (NISE) data set provides daily, global maps of sea ice concentrations and snow extent. These data are not suitable for time series, anomalies, or trends analyses. They are meant to provide a best estimate of current ice and snow conditions based on information and algorithms available at the time the data are acquired. Near-real-time products are not intended for operational use in assessing sea ice conditions for navigation.

This NISE Version 2 product contains SSMIS-derived sea ice concentrations and snow extents derived from the Special Sensor Microwave Imager/Sounder (SSMIS) aboard the Defense Meteorological Satellite Program (DMSP) F13 satellite. For DMSP-F16, SSMIS-derived data, see <a href="https://doi.org/10.5067/JAQDJKPX0S60"> NISE Version 3</a>. For DMSP-F17, SSMIS-derived data, see <a href="https://doi.org/10.5067/VF7QO90IHZ99"> NISE Version 4</a>. For DMSP-F18, SSMIS-derived data, see <a href="https://doi.org/10.5067/3KB2JPLFPK3R"> NISE Version 5</a>.

Tags: cryosphere, earth-science, sea-ice, snow-ice
Organization: National Aeronautics and Space Administration
POLDER/Parasol L2 Radiation Budget subset along CloudSat track V001 (PARASOLRB_CPR) at GES DISC

This is the POLDER/Parasol Level-2 Radiation Budget Subset, collocated with the CloudSat track. The subset is processed at the A-Train Data Depot of the GES DISC, NASA. The algorithm first converts the original POLDER binary data, which is Level-2 but nevertheless in a sinusoidal grid, into HDF4 format, and thus stores the full-sized data in HDF4. Then, it calculates the CloudSat ground track coordinates, and proceeds to extract the closest POLDER grid cells. Along with the extraction, the algorithm re-orders the subset grid cells in a line-by-line fashion, so that the output subset is in array format and resembles a swath. This array has a cross-track dimension of 11 columns.  That makes about 200-km-wide coverage.
      
      All original parameters are preserved in the subset. As it is collocated with CloudSat, the subset is automatically collocated with CALIPSO as well.

Tags: atmosphere, atmospheric-radiation, clouds, earth-science
Organization: National Aeronautics and Space Administration
TROPESS Chemical Reanalysis Ozone 6-Hourly 3-dimensional Product V1 (TRPSCRO36H3D) at GES DISC

The TROPESS Chemical Reanalysis O3 6-Hourly 3-dimensional Product contains vertical concentrations of ozone. The data are part of the Tropospheric Chemical Reanalysis v2 (TCR-2) for the period 2005-2021. TCR-2 uses JPL's Multi-mOdel Multi-cOnstituent Chemical (MOMO-Chem) data assimilation framework that simultaneously optimizes both concentrations and emissions of multiple species from multiple satellite sensors.

The data files are written in the netCDF version 4 file format, and each file contains a year of data at 6-hourly resolution, and a spatial resolution of 1.125 x 1.125 degrees at 27 pressure levels between 1000 and 60 hPa. The principal investigator for the TCR-2 data is Miyazaki, Kazuyuki.

Tags: atmosphere, atmospheric-chemistry, earth-science
Organization: National Aeronautics and Space Administration
An Energy-Based Prognostic Framework to Predict Fatigue Damage Evolution in Composites

In this work, a prognostics framework to predict the evolution of damage in fiber-reinforced composites materials under fatigue loads is proposed. The assessment of internal damage thresholds is a challenge for fatigue prognostics in composites due to inherent uncertainties, existence of multiple damage modes, and their complex interactions. Our framework, considers predicting the balance of release strain energies from competing damage modes to establish a reference threshold for prognostics. The approach is demonstrated on data collected from a run-to-failure tension-tension fatigue experiment measuring the evolution of fatigue damage in carbon-fiber-reinforced polymer (CFRP) cross-ply laminates. Results are presented for the prediction of expected degradation by micro-cracks for a given panel with the associated uncertainty estimates.

Tags: ames, dashlink, nasa
Organization: National Aeronautics and Space Administration
OPERA Dynamic Surface Water Extent from Harmonized Landsat Sentinel-2 provisional product (Version 1)

This dataset contains Level-3 Dynamic OPERA provisional surface water extent product version 1.  The data are provisional  surface water extent observations beginning April 2023. Known issues and caveats on usage are described under Documentation. The input dataset for generating each product is the Harmonized Landsat-8 and Sentinel-2A/B (HLS) product version 2.0. HLS products provide surface reflectance (SR) data from the Operational Land Imager (OLI) aboard the Landsat 8 satellite and the MultiSpectral Instrument (MSI) aboard the Sentinel-2A/B satellite. The surface water extent products are distributed over projected map coordinates using the Universal Transverse Mercator (UTM) projection. Each UTM tile covers an area of 109.8 km × 109.8 km. This area is divided into 3,660 rows and 3,660 columns at 30-m pixel spacing. Each product is distributed as a set of 10 GeoTIFF (Geographic Tagged Image File Format) files including water classification, associated confidence, land cover classification, terrain shadow layer, cloud/cloud-shadow classification, Digital elevation model (DEM), and Diagnostic layer.

Tags: earth-science, surface-water, terrestrial-hydrosphere
Organization: National Aeronautics and Space Administration
Sentinel-1 Interferograms - Amplitude (BETA)

Sentinel-1 SLC interferometric products generated by JPL using ISCE v2.0.0, delivered by ASF

Tags: biosphere, coastal-processes, earth-science, erosion-sedimentation, geomorphic-landforms-processes, land-surface, land-use-land-cover, landscape, oceans, solid-earth, tectonics, terrestrial-ecosystems, topography
Organization: National Aeronautics and Space Administration
IceBridge CAMBOT L0 Raw Imagery V001

This data set contains raw images and associated aircraft position and attitude data, taken over Antarctica and Greenland by the Continuous Airborne Mapping By Optical Translator (CAMBOT), part of the Airborne Topographic Mapper (ATM) instrument suite. The data were collected as part of Operation IceBridge funded aircraft survey campaigns.

Tags: earth-science, spectral-engineering, visible-wavelengths
Organization: National Aeronautics and Space Administration
2011_11_25 Lab

A data set of two-minute scenarios with a large set of motion and load profiles. Each scenario started with a nominal actuator, then, at 1-minute mark the ballscrew jam fault was injected by switching to the faulty actuator. The scenarios are intended for testing diagnostic algorithms. Please note that only the low speed data (current, temperature, position, and load) were collected during this set of experiments.

Tags: ames, dashlink, nasa
Organization: National Aeronautics and Space Administration
Terra MODIS Level-3 Global Binned 4µm Nighttime Sea Surface Temperature (SST4) Data, version R2019.0

MODIS (or Moderate-Resolution Imaging Spectroradiometer) is a key instrument aboard the Terra (EOS AM) and Aqua (EOS PM) satellites. Terra's orbit around the Earth is timed so that it passes from north to south across the equator in the morning, while Aqua passes south to north over the equator in the afternoon. Terra MODIS and Aqua MODIS are viewing the entire Earth's surface every 1 to 2 days, acquiring data in 36 spectral bands, or groups of wavelengths (see MODIS Technical Specifications). These data will improve our understanding of global dynamics and processes occurring on the land, in the oceans, and in the lower atmosphere. MODIS is playing a vital role in the development of validated, global, interactive Earth system models able to predict global change accurately enough to assist policy makers in making sound decisions concerning the protection of our environment.

Tags: earth-science, national-geospatial-data-asset, ngda, ocean-temperature, oceans
Organization: National Aeronautics and Space Administration
SatCORPS CERES GEO Edition 4 Meteosat-10 Northern Hemisphere Version 1.0

CER_GEO_Ed4_MET10_NH_V01 is the Satellite Cloud and Radiation Property retrieval System (SatCORPS) Clouds and the Earth's Radiant Energy System (CERES) Geostationary Satellite (GEO) Edition 4 Meteosat-10 over the Northern Hemisphere (NH) Version 1.0 data product. Data was collected using the Spinning Enhanced Visible and Infrared Imager (SEVIRI) Instrument on the Meteosat-10 platform. Data collection for this product is complete.

This data set comprises cloud micro-physical and radiation properties derived hourly from Meteosat-10 geostationary satellite imager data using the Langley Research Center (LaRC) SATCORPS algorithms supporting the CERES project. Each active geostationary satellite's cloud micro-physical and radiation properties are merged to create hourly global cloud properties that estimate fluxes between CERES instrument measurements to account for the changing diurnal cycle. The data set is arranged as files for each hour and in netCDF-4 format. The observations are at 4 km resolution (at nadir) and are sub-sampled to 8 km.

CERES is a key Earth Observing System (EOS) program component. The CERES instruments provide radiometric measurements of the Earth's atmosphere from three broadband channels. The CERES missions follow the successful Earth Radiation Budget Experiment (ERBE) mission. The first CERES instrument, the protoflight model (PFM), was launched on November 27, 1997, as part of the Tropical Rainfall Measuring Mission (TRMM). Two CERES instruments (FM1 and FM2) were launched into polar orbit on board the Earth Observing System (EOS) flagship Terra on December 18, 1999. Two additional CERES instruments (FM3 and FM4) were launched on board Earth Observing System (EOS) Aqua on May 4, 2002. The CERES FM5 instrument was launched on board the Suomi National Polar-orbiting Partnership (NPP) satellite on October 28, 2011. The newest CERES instrument (FM6) was launched on board the Joint Polar-Orbiting Satellite System 1 (JPSS-1) satellite, now called NOAA-20, on November 18, 2017.

Tags: atmosphere, clouds, earth-science
Organization: National Aeronautics and Space Administration
Gazetteer of Planetary Nomenclature: Saturnian System: Tethys

These images display several of Saturn's moons approved by the International Astronomical Union (IAU).

Tags: dione, enceladus, epimetheus, hyperion, iapetus, imagery, images, janus, mimas, moons, phoebe, rhea, saturn, tethys, titan, usgs, working-group-for-planetary-system-nomenclature
Organization: National Aeronautics and Space Administration
GOES-R PLT Fly's Eye GLM Simulator (FEGS) V1

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

Tags: atmosphere, atmospheric-electricity, earth-science
Organization: National Aeronautics and Space Administration
BSCW  Unstructured Mixed Element Grids

Corase Grid:
Quad Surface Faces=      9360
Tria Surface Faces=    128928
Nodes             =   2869187
Total Elements    =   9099201
Hex Elements      =         0
Pent_5 Elements   =         0
Pent_6 Elements   =   3915576
Tet Elements      =   5183625
Maximum Element Angle:  172.268836
Minimum Element Angle:  2.048648

Medium Grid:
Quad Surface Faces=     15840
Tria Surface Faces=    293112
Nodes             =   8364319
Total Elements    =  27482638
Hex Elements      =         0
Pent_5 Elements   =         0
Pent_6 Elements   =  11004664
Tet Elements      =  16477974
Maximum Element Angle:  174.936370
Minimum Element Angle:  1.436539

Fine Grid:
Quad Surface Faces=     23848
Tria Surface Faces=    693978
Nodes             =  24098844
Total Elements    =  91819590
Hex Elements      =         0
Pent_5 Elements   =         0
Pent_6 Elements   =  25397592
Tet Elements      =  66421998
Maximum Element Angle:  179.975214
Minimum Element Angle:  0.017963

Tags: ames, dashlink, nasa
Organization: National Aeronautics and Space Administration
NASA 3D Models: ICESat

ICESat (Ice, Cloud, and land Elevation Satellite) is the benchmark Earth Observing System mission for measuring ice sheet mass balance, cloud and aerosol heights, as well as land topography and vegetation characteristics.

Tags: 3d-model, eyes-on-the-earth-3d, eyes-on-the-solar-system, glas, icesat, satellite, spacecraft
Organization: National Aeronautics and Space Administration
Requirements Specifications for Prognostics: An Overview

With recent advancements in prognostics methodologies there has been a significant interest in maturing Prognostics and Health Management (PHM) to increase its technology readiness level for onboard deployments. Active research is underway both in industry and academia to address shortcomings in availability of run-to-failure data, accelerated aging environments, real-time prognostics algorithms, uncertainty representation and management (URM) techniques, prognostics performance evaluation, etc., to name a few. At this juncture it is highly desirable to close the loop by connecting the high level customer requirements for mission planning and execution to performance specifications for prognostics methodologies at the lower technical level. This calls for integrating the pragmatics of safety, reliability, cost, and real-time viability into the prognostics methodologies to establish a connection between top-down and bottom-up approaches currently pursued in the PHM community. In this paper we identify key areas that must be addressed to bridge these gaps and provide an overview of how these areas have been addressed in part at various levels. We also discuss on how these issues can be further developed into a comprehensive and more coherent portfolio of technologies that will ultimately lead to specifying guidelines for prognostics performance.

Tags: ames, dashlink, nasa
Organization: National Aeronautics and Space Administration