AndreaBozzo/ceres-open-data-index huggingface dataset:
Modeling Propagation of Gas Path Damage

This paper describes how damage propagation can be tracked and modeled for a range of fault modes in some modules of commercial high bypass aircraft engines. To that end, response surfaces of all sensors are generated via a thermo-dynamical simulation model for the engine (cycle deck) as a function of variations of flow and efficiency of the modules of interest. These surfaces are normalized and superimposed. Next, sensor readings are matched to those surfaces and – using an optimization approach – the corresponding flow and efficiency pair is found that best explains the sensor data. This flow and efficiency pair is then compared to previous pairs and the direction of the change as well as the rate of change is determined. The whole trajectory is then projected into the time domain. An extrapolation of the curve to the limit (which is established via operational margins) yields the remaining life. In a backward mode, the extrapolated curve is discretized and estimated future flow and efficiency pairs are retrieved. These pairs are then input to the cycle deck to produce future anticipated sensor readings as well as confirmatory trips of operational margins. Changes of the future sensor readings with real readings are used to adjust the remaining life calculations. The method is demonstrated on time series of historical engine faults.

Tags: ames, dashlink, nasa
Organization: National Aeronautics and Space Administration
USGS Global Forest Observations Initiative (GFOI) REPUBLIC OF THE CONGO

The Global Forest Observations Initiative (GFOI) is an initiative of the inter-governmental Group on Earth Observations (GEO) that aims to:

foster the sustained availability of observations for national forest monitoring systems; support governments that are establishing national systems by providing a platform for coordinating observations, providing assistance and guidance on utilizing observations, developing accepted methods and protocols, and promoting ongoing research and development; and work with national governments that report into international forest assessments (such as the global Forest Resources Assessment (FRA) of the Food and Agriculture Organization, FAO) and the national greenhouse gas inventories reported to the UN Framework Convention on Climate Change (UNFCCC) using methods of the Intergovernmental Panel on Climate Change (IPCC).

Tags: agriculture, earth-science, forest-science
Organization: National Aeronautics and Space Administration
SENTINEL-1A_RAW

Sentinel-1A level zero product

Tags: agriculture, biosphere, coastal-processes, cryosphere, earth-science, erosion-sedimentation, forest-science, frozen-ground, geomorphic-landforms-processes, glaciers-ice-sheets, land-surface, land-use-land-cover, landscape, ocean-waves, ocean-winds, oceans, sea-ice, snow-ice, solid-earth, surface-water, tectonics, terrestrial-ecosystems, terrestrial-hydrosphere, topography
Organization: National Aeronautics and Space Administration
ACES TIMING DATA V1

The ALTUS Cloud Electrification Study (ACES) was based at the Naval Air Facility Key West in Florida. During August or 2002, ACES researchers overflights of thunderstorms over the southwestern corner of Florida. For the first time in NASA research, an uninhabited aerial vehicle (UAV) named ALTUS was used to collect cloud electrification data. Carrying field mills, optical sensors, electric field sensors and other instruments, ALTUS allowed scientists to collect cloud electrification data for the first time from above the storm, from its birth through dissipation. This experiment allowed scientists to achieve the dual goals of gathering weather data safely and testing new aircraft technology. This dataset consists of timing data used for the experiment. When used it provides: syncclock_time = time found at the syncclock (VSI-SYnCCLOCK-32) in seconds from first file name, syncclock_m_time = time found at the syncclock (VSI-SYnCCLOCK-32) in Matlab dateform format, system_time = system time in seconds from first file name, system_m_time = system time in dateform format, gps_time = time found at the GPS unit in seconds from first file name, gps_m_time = time found at GPS unit in dateform, cmos_time = time found at the computer CMOS in seconds from first file name, cmos_m_time = time found at the computer CMOS in dateform.

Tags: earth-science, platform-characteristics, spectral-engineering
Organization: National Aeronautics and Space Administration
CDDIS_DORIS_data_rinex

The Doppler Orbitography by Radiopositioning Integrated on Satellite (DORIS) was developed by the Centre National d'Etudes Spatiales (CNES) with cooperation from other French government agencies. The system was developed to provide precise orbit determination and high accuracy location of ground beacons for point positioning. DORIS is a dual-frequency Doppler system that has been included as an experiment on various space missions such as TOPEX/Poseidon, SPOT-2, -3, -4, and -5, Envisat, and Jason satellites. Unlike many other navigation systems, DORIS is based on an uplink device. The receivers are on board the satellite with the transmitters are on the ground. This creates a centralized system in which the complete set of observations is downloaded by the satellite to the ground center, from where they are distributed after editing and processing. An accurate measurment is made of the Doppler shift on radiofrequency signals emitted by the ground beacons and received on the spacecraft.

Tags: nasa
Organization: National Aeronautics and Space Administration
LIMS/Nimbus-7 Level 1 Radiance Data V001 (LIMSN7L1PROFILER) at GES DISC

LIMSN7L1PROFILER is the Nimbus-7 Limb Infrared Monitor of the Stratosphere (LIMS) Level-1 Profiles of Radiance Data product and contains selected daily vertical profiles across the earth’s atmospheric limb derived from the LIMS Level-1 Radiance Archival Tape (RAT) data product. Measurements are obtained, as a function of tangent height (or scan angle), once every 12 seconds in each of the six spectral bands (two 15-micrometer CO2 bands (narrow and wide), an 11.3-micrometer HNO3 band, a 9.6-micrometer O3 band, a 6.9-micrometer H2O band, and a 6.2-micrometer NO2 band) from the highest pressure level to the lowest in steps of 0.1 km

Each file contains one days worth of data (~14 orbits per day). LIMS is a limb profiler and spatial coverage is near global between latitude -64 and +84 degrees. Vertical coverage is from about 10 to 50 km (O3 channel to 65 km), with vertical resolution of about 1.5 km. The data are available from 25 October 1978 through 30 May 1979. The principal investigators for the LIMS experiment were Dr. James M. Russell, III from NASA Langley and Dr. John Gille from NCAR.

This product was previously available from the NASA National Space Science Data Center (NSSDC) under the name LIMS Radiance Archival Data with the identifier ESAC-00032 (old id 78-098A-01B).

Tags: earth-science, infrared-wavelengths, spectral-engineering
Organization: National Aeronautics and Space Administration
Portable Data Acquisition System Project

&lt;p&gt;Armstrong researchers have developed a portable data acquisition system (PDAT) that can be easily transported and set up at remote locations to display and archive data in real time. The PDAT was developed to collect data from strain gages and fiber optic sensors installed on a revolutionary wing flap while it was being constructed by NASA partner FlexSys, Inc. in Ann Arbor, Michigan, as part of the Adaptive Compliant Trailing Edge (ACTE) project. The PDAT enabled the Armstrong team to monitor and analyze data collected during the construction process and provide vital feedback to designers onsite at FlexSys instead of having to wait until construction was completed and shipped to Armstrong&amp;rsquo;s facility.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Work to date&lt;/strong&gt;: This unique and flexible system has 64 channels for analog data, 32 channels for thermocouples, and utilizes Ethernet technology to capture&amp;nbsp;6,000 parameters of fiber optic data. It is currently configured to gather strain gage and thermocouple inputs, but a variety of other hardware can be installed, including cards for pressure transducers, voltages, currents, motion paks, accelerometers, MIL-STD-1553 and ARINC 429 aircraft data buses, and Ethernet packets.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Looking ahead&lt;/strong&gt;: The PDAT has been an integral part of the ACTE project, and the team believes the technology is versatile enough to become a successful component of many current and future Armstrong projects.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Benefits&lt;/strong&gt;&lt;/p&gt;&lt;ul&gt;&lt;li&gt;&lt;strong&gt;Convenient&lt;/strong&gt;: This innovation enables real-time analysis of data collected at remote locations.&lt;/li&gt;&lt;li&gt;&lt;strong&gt;Portable&lt;/strong&gt;: The hardware is easily removable, attaches to a single heat sink pallet, and fits into a single small case for quick transport. It can be used in a variety of locations (laboratory, hangar, and flight line).&lt;/li&gt;&lt;li&gt;&lt;strong&gt;Flexible&lt;/strong&gt;: The technology can be quickly reprogrammed to support various tests and can display and archive data from virtual streams.&lt;/li&gt;&lt;li&gt;&lt;strong&gt;Economical&lt;/strong&gt;: The system reduces manufacturing and testing costs associated with multiple data collection and analysis sites.&lt;/li&gt;&lt;/ul&gt;&lt;p&gt;&lt;strong&gt;Applications&lt;/strong&gt;&lt;/p&gt;&lt;p&gt;Collects sensor, voltage, current, pressure, aircraft avionics, and Ethernet data&lt;/p&gt;

Tags: active, armstrong-flight-research-center, pdat, project
Organization: National Aeronautics and Space Administration
TRMM Radar Rain Distributions L3 1 month 5 degree x 5 degree V7 (TRMM_3A26) at GES DISC

The new version of these data is in GPM-like format (consistent with the GPM Dual-frequency Radar data format), and can be found under the name GPM_3PR.

This dataset contains distributions of monthly surface rainfall. These data were derived from rain rate statistics and include the estimated values of the probability distribution function of the space-time rain rates at four levels (2 km, 4 km, 6 km, and path-averaged) and the mean, standard deviation, and probability of rain derived from these distributions. Three different rain rate estimates are used as input to the algorithm: (1) the standard Z-R (or 0th-order estimate having no attenuation correction); (2) the Hitschfield-Bordan (H-B); and (3) the rain rates taken from 2A25.

Tags: atmosphere, earth-science, precipitation
Organization: National Aeronautics and Space Administration
AMSR-E/Aqua Monthly L3 Global Ascending/Descending .25x.25 deg Ocean Grids V002

The Level-3 daily product (AE_DyOcn), weekly product (AE_WkOcn), and monthly product (AE_MoOcn) include SST, near-surface wind speed, columnar water vapor, and columnar cloud liquid water over oceans in a 0.25 degree by 0.25 degree grid, generated from AE_Ocean.

Tags: atmosphere, atmospheric-water-vapor, atmospheric-winds, clouds, earth-science, ocean-temperature, oceans
Organization: National Aeronautics and Space Administration
Aqua MODIS Level-Regional Regional 11µm Day/Night Sea Surface Temperature (SST) 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
Accelerated Aging in Electrolytic Capacitors for Prognostics

The focus of this work is the analysis of different degradation phenomena based on thermal overstress and electrical overstress accelerated aging systems and the use of accelerated aging techniques for prognostics algorithm development. Results on thermal overstress and electrical overstress experiments are presented. In addition, preliminary results toward the development of physics-based degradation models are presented focusing on the electrolyte evaporation failure mechanism. An empirical degradation model based on percentage capacitance loss under electrical overstress is presented and used in: (i) a Bayesian-based implementation of model-based prognostics using a discrete Kalman filter for health state estimation, and (ii) a dynamic system representation of the degradation model for forecasting and remaining useful life (RUL) estimation. A leave-one-out validation methodology is used to assess the validity of the methodology under the small sample size constrain.
The results observed on the RUL estimation are consistent through the validation tests comparing relative accuracy and prediction error. It has been observed that the inaccuracy of the model to represent the change in degradation behavior observed at the end of the test data is consistent throughout the validation tests, indicating the need of a more detailed degradation model or the use of an algorithm that could estimate model parameters on-line. Based on the observed degradation process under different stress intensity with rest periods, the need for more sophisticated degradation models is further supported. The current degradation model does not represent the capacitance recovery over rest periods following an accelerated aging stress period.

Tags: ames, dashlink, nasa
Organization: National Aeronautics and Space Administration
Health Monitoring and Prognostics for Computer Servers

**Abstract**

Prognostics solutions for mission critical systems require a comprehensive methodology for proactively detecting and isolating failures, recommending and guiding condition-based maintenance actions, and estimating in real time the remaining useful life of critical components and associated subsystems.

A major challenge has been to extend the benefits of prognostics to include computer servers and other electronic components. The key enabler for prognostics capabilities is monitoring time series signals relating to the health of executing components and subsystems. Time series signals are processed in real time using pattern recognition for proactive anomaly detection and for remaining useful life estimation. Examples will be presented of the use of pattern recognition techniques for early detection of a number of mechanisms that are known to cause failures in electronic systems, including: environmental issues; software aging; degraded or failed sensors; degradation of hardware components; degradation of mechanical, electronic, and optical interconnects. Prognostics pattern classification is helping to substantially increase component reliability margins and system availability goals while reducing costly sources of "no trouble found"

events that have become a significant warranty-cost issue.

 

**Bios**

Aleksey Urmanov is a research scientist at Sun Microsystems. He earned his doctoral degree in Nuclear Engineering at the University of Tennessee in 2002. Dr. Urmanov's research activities are centered around his interest in pattern recognition, statistical learning theory and ill-posed problems in engineering. His most recent activities at Sun focus on developing health monitoring and prognostics methods for EP-enabled computer servers. He is a founder and an Editor of the Journal of Pattern Recognition Research.

 

Anton Bougaev holds a M.S. and a Ph.D. degrees in Nuclear Engineering from Purdue University. Before joining Sun Microsystems Inc. in 2007, he was a lecturer in Nuclear Engineering Department and a member of Applied Intelligent Systems Laboratory (AISL), of Purdue University, West Lafayette, USA. Dr. Bougaev is a founder and the Editor-in-Chief of the Journal of Pattern Recognition Research. His current focus is in reliability physics with emphasis on complex system analysis and the physics of failures which are based on the data driven pattern recognition techniques.

Tags: ames, dashlink, nasa
Organization: National Aeronautics and Space Administration
GPM GROUND VALIDATION ENVIRONMENT CANADA (EC) PASSIVE MICROWAVE RADIOMETER AND SOIL MOISTURE-TEMPERATURE DATA GCPEX V1

The GPM Ground Validation Environment Canada (EC) Passive Microwave Radiometer and Soil Moisture-Temperature Data GCPEx dataset is consisted of data during the GPM Cold-season Precipitation Experiment (GCPEx) at the Centre for Atmospheric Research Experiments (CARE) site in Ontario, Canada during the winter season 2011-2012. GCPEx addressed shortcomings in the GPM snowfall retrieval algorithm by collecting microphysical properties, associated remote sensing observations, and coordinated model simulations of precipitating snow. Data collected includes microwave brightness temperatures, snow and soil/snow-air interface (ground surface temperatures), soil surface temperatures, and soil volumetric water content. These data were acquired by multiple instruments: a passive microwave radiometer, a water content reflectometer, thermistors, soil moisture probe.

Tags: agriculture, earth-science, microwave, snow-ice, soils, spectral-engineering, terrestrial-hydrosphere
Organization: National Aeronautics and Space Administration
Development of Organic FET (OFET)-Based Flexible Integrated Controller for Deformable Mirrors Project

&lt;p&gt;The goal is to complete process development to make OFET&amp;rsquo;s on flexible substrates compatible with ultra-lightweight deformable mirrors and to demonstrate simplified active device integration process with a functional deformable mirror as a precursor for future integrated circuit development.&lt;/p&gt;

Tags: active, jet-propulsion-laboratory, project
Organization: National Aeronautics and Space Administration
IceBridge HiCARS 1 L2 Geolocated Ice Thickness V001

This data set contains ice thickness, surface and bed elevation, and echo strength measurements taken over Antarctica using the Hi-Capability Airborne Radar Sounder (HiCARS) instrument. The data were collected by scientists working on the Investigating the Cryospheric Evolution of the Central Antarctic Plate (ICECAP) project, which is funded by the National Science Foundation (NSF) and the Natural Environment Research Council (NERC) with additional support from NASA Operation IceBridge.

Tags: cryosphere, earth-science, glaciers-ice-sheets, land-surface, sea-ice, snow-ice, topography
Organization: National Aeronautics and Space Administration
Privacy Preserving Distributed Data Mining

Distributed data mining from privacy-sensitive multi-party data is likely to play an important role in the next generation of integrated vehicle health monitoring systems. For example, consider an airline manufacturer [tex]$\mathcal{C}$[/tex] manufacturing an aircraft model [tex]$A$[/tex] and selling it to five different airline operating companies [tex]$\mathcal{V}_1 \dots \mathcal{V}_5$[/tex]. These aircrafts, during their operation, generate huge amount of data. Mining this data can reveal useful information regarding the health and operability of the aircraft which can be useful for disaster management and prediction of efficient operating regimes. Now if the manufacturer [tex]$\mathcal{C}$[/tex] wants to analyze the performance data collected from different aircrafts of model-type [tex]$A$[/tex] belonging to different airlines then central collection of data for subsequent analysis may not be an option. It should be noted that the result of this analysis may be statistically more significant if the data for aircraft model [tex]$A$[/tex] across all companies were available to [tex]$\mathcal{C}$[/tex]. The potential problems arising out of such a data mining scenario are:

Tags: ames, dashlink, nasa
Organization: National Aeronautics and Space Administration
UARS Microwave Limb Sounder (MLS) Level 3AT V005 (UARML3AT) at GES DISC

The Microwave Limb Sounder (MLS) Level 3AT data product consists of daily, 4 degree increment latitude-ordered vertical profiles of temperature, geopotential height, concentrations of O3, H2O, CH3CN, ClO, HNO3, and SO2, as well as upper tropospheric humidity (UTH). The insrument measures in the microwave spectral region at frequencies of 63, 183 and 205 GHz. MLS was flown on NASA's Upper Atmosphere Research Satellite (UARS) and designed to measure the chemical composition of the stratosphere and mesosphere, relationship between chlorine monoxide and ozone destruction. Limb measurements were made in the altitude range between 10 and 85 km at about 2.5 km resolution. Data were collected between latitude 34S and 80N and 80S and 34N, alternating each satellite yaw cycle of about 36 days. The MLS Level 3AT data were processed with the version 5 algorithm, except H2O and HNO3 which are version 6, and SO2 and UTH which remained version 4. Note: H2O and O3 at 183 GHz data are available only through April 15, 1993 when the 183 GHz radiometer failed.

The MLS level 3AT product consists of 10 granules per day. A data granule is one MLS species or subtype per day.

Data are on the UARS standard pressure levels (in mbars) given by:

P(i) = 1000 * 10**(-i/6)  for i = 0, 1, 2, ...

Each of the 10 MLS granules is accompanied by an additional parameter file, designated as level 3TP. The parameter file, contains the additional ancillary and quality information, as well as total column amounts not found in the 3AT files. The data files are available in a binary record oriented format.

Tags: altitude, atmosphere, atmospheric-chemistry, atmospheric-temperature, atmospheric-water-vapor, earth-science
Organization: National Aeronautics and Space Administration