AndreaBozzo/ceres-open-data-index huggingface dataset:
ADAPT Dataset

**Advanced Diagnostics and Prognostics Testbed (ADAPT)
Project Lead: Scott Poll**

**Subject**

Fault diagnosis in electrical power systems

**Description**

The Advanced Diagnostics and Prognostics Testbed (ADAPT) lab at the NASA Ames Research Center aims to provide a means to assess the effectiveness of diagnostic algorithms at detecting faults in power systems. The algorithms are evaluated using data from the Electrical Power System (EPS), which simulates the functions of a typical aerospace vehicle power system. The EPS allows for the controlled insertion of faults in repeatable failure scenarios to test if diagnostic algorithms can detect and isolate these faults.

**How Data Was Acquired**

This dataset was generated from the EPS in the ADAPT lab. Each data file corresponds to one experimental run of the testbed. During an experiment, a data acquisition system commands the testbed into different configurations and records data from sensors that measure system variables such as voltages, currents, temperatures and switch positions. Faults were injected in some of the experimental runs.

**Sample Rates and Parameter Descriptions**

Data was sampled at a rate of 2 Hz and saved into a tab delimited plain text file. There are a total of 128 sensors and typical experimental runs last for approximately five minutes. The text files have also been converted into a MATLAB environment file containing equivalent data that may be imported for viewing or computation.

**Faults and Anomalies**

Faults were injected into the EPS using physical or software means. Physical faults include disconnecting sources, sinks or circuit breakers. For software faults, user commands are passed through an Antagonist function before being received by the EPS, and sensor data is filtered through the same function before being seen by the user. The Antagonist function was able to block user commands, send spurious commands and alter sensor data.

**External Links**

Additional data from the ADAPT EPS testbed can be found at the DXC competition page - [https://dashlink.arc.nasa.gov/topic/diagnostic-challenge-competition/](https://dashlink.arc.nasa.gov/topic/diagnostic-challenge-competition/)

**Other Notes**

The HTML diagrams can be viewed in any brower, but its active content is best run on Internet Explorer.

Tags: ames, dashlink, nasa
Organization: National Aeronautics and Space Administration
Condition-based prediction of time-dependent reliability in composites

This paper presents a reliability-based prediction methodology to obtain the remaining useful life of composite materials subjected to fatigue degradation. Degradation phenomena such as stiffness reduction and increase in matrix micro cracks density are sequentially estimated through a Bayesian filtering framework that incorporates information from both multi-scale damage models and damage measurements, that are sequentially collected along the process. A set of damage states are further propagated forward in time by simulating the damage progression using the models in the absence of new damage measurements to estimate the time-dependent reliability of the composite material. As a key contribution, the estimation of the remaining useful life is obtained as a probability from the prediction of the time-dependent reliability, whose validity is formally proven using the axioms of Probability Logic. A case study is presented using multi-scale fatigue damage data from a cross-ply carbon-epoxy laminate.

Tags: ames, dashlink, nasa
Organization: National Aeronautics and Space Administration
NCAR Particle Probes IMPACTS V1

The NCAR Particle Probes IMPACTS dataset consists of data collected from six instruments on the NASA P-3 aircraft, the SPEC Hawkeye Cloud Particle Imager (CPI), the Hawkeye Fast Cloud Droplet Probe (FastCDP), the Hawkeye Two-Dimensional Stereo Probe (Hawkeye2D-S), the SPEC Two-Dimensional Stereo probe (2D-S), and two SPEC High Volume Precipitation Spectrometers (HVPS3). The 2D-S and HVPS3 are two-dimensional optical array probes which record images of particles that travel through their sampling area. The recorded images are then analyzed to produce particle size distributions from 20 microns to 3 centimeters in diameter.  The FastCDP is a forward scattering instrument designed to measure the size and concentration of cloud droplets between 2 and 50 microns in diameter.  The CPI is a high-resolution imager with a 256-level color depth.  No particle concentration estimates have been attempted with the CPI. These data were collected during the Investigation of Microphysics and Precipitation for Atlantic Coast-Threatening Snowstorms (IMPACTS) field campaign, a three-year sequence of winter season deployments conducted to study snowstorms over the U.S Atlantic coast. IMPACTS aimed to (1) Provide observations critical to understanding the mechanisms of snowband formation, organization, and evolution; (2) Examine how the microphysical characteristics and likely growth mechanisms of snow particles vary across snowbands;  and (3) Improve snowfall remote sensing interpretation and modeling to significantly advance prediction capabilities. Data files are available in netCDF-4 format, as well as browse imagery available in PNG format, from January 18, 2020 through February 26, 2020, and January 14, 2022 through February 25, 2022.

Tags: atmosphere, clouds, earth-science
Organization: National Aeronautics and Space Administration
OCO-2 Level 2 spatially ordered geolocated retrievals screened using the A-band Preprocessor V11.2 (OCO2_L2_ABand) at GES DISC

Version 11.2 is the current version of the data set. Older versions will no longer be available and are superseded by Version 11.2.

The Orbiting Carbon Observatory is the first NASA mission designed to collect space-based measurements of atmospheric carbon dioxide with the precision, resolution, and coverage needed to characterize the processes controlling its buildup in the atmosphere. The OCO-2 project uses the LEOStar-2 spacecraft that carries a single instrument. It incorporates three high-resolution spectrometers that make coincident measurements of reflected sunlight in the near-infrared CO2 near 1.61 and 2.06 micrometers and in molecular oxygen (O2) A-Band at 0.76 micrometers.

Tags: atmosphere, atmospheric-chemistry, earth-science
Organization: National Aeronautics and Space Administration
EnviroAtlas - Durham, NC - Greenspace Proximity Gradient

In any given 1-square meter point in this EnviroAtlas dataset, the value shown gives the percentage of square meters of greenspace within 1/4 square kilometer centered over the given point. Green space is defined as Trees & Forest and Grass & Herbaceous. Water is shown as "-99999" in this dataset to distinguish it from land areas with very low green space. This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas (https://www.epa.gov/enviroatlas ) allows the user to interact with a web-based, easy-to-use, mapping application to view and analyze multiple ecosystem services for the contiguous United States. The dataset is available as downloadable data (https://edg.epa.gov/data/Public/ORD/EnviroAtlas) or as an EnviroAtlas map service. Additional descriptive information about each attribute in this dataset can be found in its associated EnviroAtlas Fact Sheet (https://www.epa.gov/enviroatlas/enviroatlas-fact-sheets ).

Tags: communities, durham, ecosystem, ecosystem services, enviroatlas, environment, environmental atlas, green space, human well-being, land cover, natural resources, nc, north carolina, recreation
Organization: U.S. Environmental Protection Agency
SWOT Level 2 Nadir Altimeter Interim Geophysical Data Record with Waveforms - GDR, Version 2.0

Same as L2_NALT_GDR, using preliminary values for some auxiliary data. Uses Medium-accuracy (preliminary) Orbit Ephemeris (MOE). Available with latency of < 1.5 days. Discrete measurements at nadir for each half orbit, along the ground track. Available in netCDF-4 file format.

Tags: earth-science, ocean-waves, oceans, sea-surface-topography
Organization: National Aeronautics and Space Administration
New York State Mesonet IMPACTS V1

The New York State Mesonet IMPACTS dataset is a browse-only dataset and consists of temperature, wind, wind direction, mean sea level pressure, precipitation, and snow depth measurements, as well as profiler Doppler LiDAR and Microwave Radiometer (MWR) measurements from the New York State Mesonet network during the Investigation of Microphysics and Precipitation for Atlantic Coast-Threatening Snowstorms (IMPACTS) field campaign, a three-year sequence of winter season deployments conducted to study snowstorms over the U.S. Atlantic coast. IMPACTS aimed to (1) Provide observations critical to understanding the mechanisms of snowband formation, organization, and evolution; (2) Examine how the microphysical characteristics and likely growth mechanisms of snow particles vary across snowbands;  and (3) Improve snowfall remote sensing interpretation and modeling to significantly advance prediction capabilities. The Mesonet network consists of ground weather stations, LiDAR profilers, and microwave radiometer (MWR) profilers. These browse files are available from January 3 through March 1, 2020 in PNG format.

Tags: atmosphere, atmospheric-pressure, atmospheric-radiation, atmospheric-temperature, atmospheric-water-vapor, atmospheric-winds, climate-indicators, clouds, cryospheric-indicators, earth-science, precipitation
Organization: National Aeronautics and Space Administration
Spectral Decomposition Algorithm (SDA)

Spectral Decomposition Algorithm (SDA) is an unsupervised feature extraction technique similar to PCA that was developed to better distinguish spectral features in the space shuttle main engine's optical plume. See paper below:

 

Code is not open sourced and therefore it is not available. See paper for sample pseudo code.

Tags: ames, dashlink, nasa
Organization: National Aeronautics and Space Administration
SAMS/Nimbus-7 Level 1 Radiance Data V001 (SAMSN7L1RAT) at GES DISC

SAMSN7L1RAT is the gridded Nimbus-7 Stratospheric and Mesospheric Sounder (SAMS) Level 1 Radiance Data Product. The radiances were selected to derive gas concentrations at the wavelength bands 15 (CO2), 25-100 (H2O) 4-5 (CO and NO), and 7.7 (N2O and CH4) microns in the stratosphere and mesosphere, with a vertical resolution of 10 km. The instrument scanned the vertical from about 15 km to 140 km. The data were recovered from the original magnetic tapes, and are now stored online as orbit files in their original proprietary binary format each with about 14 orbits per day.

The data for this product are available from 26 October 1978 through June 9 1983. The principal investigators for the SAMS experiment were Prof. John T. Houghton and Dr. Fredric W. Taylor from Oxford University. This product was subsequently used to create the SAMS/Nimbus-7 Level 1 Radiance Data from CD-ROM product (SAMSN7L1RAD_CDROM), a set of 53 CD-ROMs.

Tags: atmosphere, atmospheric-temperature, earth-science, infrared-wavelengths, spectral-engineering
Organization: National Aeronautics and Space Administration
Discovering System Health Anomalies using Data Mining Techniques

We discuss a statistical framework that underlies envelope detection schemes as well as dynamical models based on Hidden Markov Models (HMM) that can encompass both discrete and continuous sensor measurements for use in Integrated System Health Management (ISHM) applications. The HMM allows for the rapid assimilation, analysis, and discovery of system anomalies.  We motivate our work with a discussion of an aviation problem where the identification of anomalous sequences is essential for safety reasons. The data in this application are discrete and continuous sensor measurements and can be dealt with seamlessly using the methods described here to discover anomalous flights. We specifically treat the problem of discovering anomalous features in the time series that may be hidden from the sensor suite and compare those methods to standard
envelope detection methods on test data designed to accentuate the differences between the two methods. Identification
of these hidden anomalies is crucial to building stable, reusable, and cost-efficient systems. We also discuss a data mining framework for the analysis and discovery of anomalies in high-dimensional time series of sensor measurements that would be found in an ISHM system. We conclude with recommendations that describe the tradeoffs in building an integrated scalable platform for robust anomaly detection in ISHM applications.

Tags: ames, dashlink, nasa
Organization: National Aeronautics and Space Administration
SWOT Level 2 Nadir Altimeter Geophysical Data Record with Waveforms - SSHA

The SWOT Level 2 Nadir Altimeter Geophysical Data Record (GDR) with Waveforms dataset produced by the Surface Water and Ocean Topography (SWOT) mission provides sea surface height, significant wave height and wind speed measurements from the Poseidon-3C nadir altimeter, a Jason-class dual frequency (Ku/C) altimeter. SWOT is a joint mission between NASA and CNES that launched on December 16, 2022. It aims to measure ocean surface topography with unprecedented resolution and accuracy, as well as map inland water bodies globally. The GDR dataset consists of discrete measurements for each half orbit along the ground track with sampling resolutions of approximately 6-km and 300-m at 1Hz and 20Hz, respectively. The data were processed using restituted auxiliary data and the Precise Orbit Ephemeris (POE). The data are available with latency of < 90 days and distributed in netCDF-4 file format.
<br>This collection is a sub-collection of its parent: https://podaac.jpl.nasa.gov/dataset/SWOT_L2_NALT_GDR_2.0

Tags: earth-science, ocean-waves, oceans, sea-surface-topography
Organization: National Aeronautics and Space Administration
VIIRS/NPP CGF Snow Cover Daily L3 Global 375m SIN Grid V002

This data set contains daily 'cloud-free' snow cover produced from the VIIRS/NPP Snow Cover Daily L3 Global 375m SIN Grid, Version 2 snow cover product. A cloud-gap-filled algorithm is utilized to replace ‘cloud-covered’ pixels with ‘cloud-free pixels’ for the purpose of estimating the snow cover that may exist under current cloud cover. The data are provided daily and mapped to a 375 m sinusoidal grid.

Tags: cryosphere, earth-science, snow-ice
Organization: National Aeronautics and Space Administration
ATLAS/ICESat-2 L3B Gridded Antarctic and Arctic Land Ice Height V004

This data set contains a high-resolution (100 m) gridded digital elevation model (DEM) for the Antarctic ice sheet and regions around the Arctic. The data can be used to initialize ice sheet models, as boundary conditions for atmospheric models, or to help with the reduction of other satellite data such as optical imagery or synthetic aperture radar (SAR). The data are derived from the ATLAS/ICESat-2 L3B Slope-Corrected Land Ice Height Time Series product (ATL11).

Tags: cryosphere, earth-science, glaciers-ice-sheets
Organization: National Aeronautics and Space Administration
Prognostics for Ground Support Systems: Case Study on Pneumatic Valves

Prognostics technologies determine the health (or damage) state of a component or sub- system, and make end of life (EOL) and remaining useful life (RUL) predictions. Such infor- mation enables system operators to make informed maintenance decisions and streamline operational and mission-level activities. We develop a model-based prognostics method- ology for pneumatic valves used in ground support equipment for cryogenic propellant loading operations. These valves are used to control the ow of propellant, so failures may have a signi cant impact on launch availability. Therefore, correctly predicting when valves will fail enables timely maintenance that avoids launch delays and aborts. The approach utilizes mathematical models describing the underlying physics of valve degradation, and, employing the particle ltering algorithm for joint state-parameter estimation, determines the health state of the valve and the rate of damage progression, from which EOL and RUL predictions are made. We develop a prototype user interface for valve prognostics, and demonstrate the prognostics approach using historical pneumatic valve data from the Space Shuttle refueling system.

Tags: ames, dashlink, nasa
Organization: National Aeronautics and Space Administration
Modeling Li-ion Battery Capacity Depletion in a Particle Filtering Framework

This paper presents an empirical model to describe battery behavior during individual discharge cycles as well as over its cycle life. The basis for the form of the model has been linked to the internal processes of the battery and validated using experimental data. Subsequently, the model has been used in a Particle Filtering framework to make predictions of remaining useful life for individual discharge cycles as well as for cycle life. The prediction performance was found to be satisfactory as measured by performance metrics customized for prognostics. The work presented here provides initial steps towards a comprehensive health management solution for energy storage devices.*

Tags: ames, dashlink, nasa
Organization: National Aeronautics and Space Administration
Improving Distributed Diagnosis Through Structural Model Decomposition

Complex engineering systems require efficient fault diagnosis methodologies, but centralized ap- proaches do not scale well, and this motivates the development of distributed solutions. This work presents an event-based approach for distributed diagnosis of abrupt parametric faults in continuous systems, by using the structural model decompo- sition capabilities provided by Possible Conflicts. We develop a distributed diagnosis algorithm that uses residuals, computed by extending Possible Conflicts, to build local event-based diagnosers based on global diagnosability analysis that gen- erate globally correct local diagnosis results. The proposed approach is applied to a multi-tank sys- tem, and results demonstrate an improvement in the design of local diagnosers. Since local diag- nosers use only a subset of the residuals, and use subsystem models to compute residuals (instead of the global system model), the local diagnosers are more efficient than previously developed dis- tributed approaches.

Tags: ames, dashlink, nasa
Organization: National Aeronautics and Space Administration
High Altitude Imaging Wind and Rain Airborne Profiler (HIWRAP) IMPACTS V1

The High Altitude Imaging Wind and Rain Airborne Profiler (HIWRAP) IMPACTS dataset consists of Equivalent reflectivity factor, Doppler velocity, Doppler velocity spectrum width, Linear Depolarization Ratio (LDR), Ocean normalized radar cross section, Co-polarization signal-to-noise mask estimates collected by the HIWRAP onboard the NASA ER-2 aircraft during the Investigation of Microphysics and Precipitation for Atlantic Coast-Threatening Snowstorms (IMPACTS) field campaign. IMPACTS was a three-year sequence of winter season deployments conducted to study snowstorms over the U.S. Atlantic coast. IMPACTS aimed to (1) Provide observations critical to understanding the mechanisms of snowband formation, organization, and evolution; (2) Examine how the microphysical characteristics and likely growth mechanisms of snow particles vary across snowbands; and (3) Improve snowfall remote sensing interpretation and modeling to significantly advance prediction capabilities. These data are available from January 25 through February 27, 2020 in HDF-5 format.

Tags: atmosphere, clouds, earth-science, radar, spectral-engineering
Organization: National Aeronautics and Space Administration
Gazetteer of Planetary Nomenclature: Asteroids: Mathilde

These images display asteriods documented and approved by the International Astronomical Union (IAU).

Tags: asteriods, dactyl, eros, gaspra, ida, imagery, images, itokawa, lutetia, mathilde, steins, usgs, vesta, working-group-for-planetary-system-nomenclature
Organization: National Aeronautics and Space Administration
Sentinel-3A OLCI Level-4 Global Mapped Carbon Data, version 2022.0

The Ocean and Land Colour Instrument (OLCI) is the successor to ENVISAT's Medium Resolution Imaging Spectrometer (MERIS) having additional spectral channels, different camera arrangements and simplified on-board processing. The OLCI is a push-broom instrument with five camera modules sharing the field of view. The field of view of the five cameras is arranged in a fan-shaped configuration in the vertical plane, perpendicular to the platform velocity. Each camera has an individual field of view of 14.2° and a 0.6° overlap with its neighbors. The whole field of view is shifted across track by 12.6° away from the sun to minimize the impact of sun glint. OLCI is equipped with on-board calibration hardware based on sun diffusers. There are three sun diffusers--two 'white' diffusers dedicated to radiometric calibration and one dedicated to spectral calibration, with spectral reflectance features. The native resolution is approximately 300m, refered to as Full Resolution (FR). A Reduced Resolution (RR) processing mode provides Level-1B data at sampling rates decreased by a factor of four in both spatial dimensions resulting to resolution of approximately 1.2 km.

Tags: earth-science, ocean-chemistry, oceans
Organization: National Aeronautics and Space Administration
ATLAS/ICESat-2 L3B Monthly Gridded Dynamic Ocean Topography V003

This data set contains monthly gridded dynamic ocean topography (DOT), derived from along-track ATLAS/ICESat-2 L3A Ocean Surface Height product (ATL12). Monthly gridded sea surface height (SSH) can be calculated by adding the mean DOT and the weighted average geoid height also provided in this data set. Both single beam and all-beam gridded averages are available in this data set. Single beam averages are useful to identify biases among the beams and the all-beam averages are advised to use for physical oceanography.

Tags: earth-science, oceans, sea-surface-topography
Organization: National Aeronautics and Space Administration
UARS Wind Imaging Interferometer (WINDII) Level 3AT V011 (UARWI3AT) at GES DISC

The Wind Imaging Interferometer (WINDII) Level 3AT data product consists of daily, 65.536 second interval time-ordered vertical profiles of meridional and zonal wind components, and temperature. The instrument was a Michelson interferometer designed to measure Doppler shifts of spectral lines in the visible between 550 and 780 nm. WINDII was flown on NASA's Upper Atmosphere Research Satellite (UARS) and designed to measure wind, temperature and emission rates in the mesosphere and thermosphere between 80 and 300 km at about 5 km resolution. Data were collected between latitude 40S and 72N and 72S and 40N, alternating each satellite yaw cycle of about 36 days. The WINDII Level 3AT data were processed with the version 11 algorithm.

The WINDII level 3AT product consists of 3 granules per day. A data granule is one WINDII species or subtype per day.

Data are on the UARS standard altitude levels (in km) given by:

z(i) = 5*i                 for  1 <= i <= 12
z(i) = 60 + (i-12)*3       for 13 <= i <= 32
z(i) = 120 + (i-32)*5      for 33 <= i <= 88

Each of the 3 WINDII granules is accompanied by an additional parameter file, designated as level 3TP. The parameter file, contains additional ancillary and quality information not found in the 3AT files. The data files are available in a binary record oriented format.

Tags: atmosphere, atmospheric-temperature, atmospheric-winds, earth-science
Organization: National Aeronautics and Space Administration