AndreaBozzo/ceres-open-data-index huggingface dataset:
RSPF-based Prognosis Framework for Estimation of Remaining Useful Life in Energy Storage Devices

This paper presents a case study where a RSPF-based prognosis framework is applied to estimate the remaining useful life of an energy storage device (Li-Ion battery). A comparison based on prognosis performance metrics indicates that the RSPF-based prognostic approach is more suitable than classic PF methods to represent rare events such as capacity regeneration phenomena between charging periods, in terms of accuracy of the state estimate and steadiness of the RUL estimate. We surmise that the existence of particles in the tails of the state pdf allow the RSPF-based prognostic algorithm to generally provide a more conservative estimate of the RUL of the faulty piece of equipment. We surmise that it also helps to incorporate the probability of rare and costly events in the evolution of the fault condition in time.

Tags: ames, dashlink, nasa
Organization: National Aeronautics and Space Administration
Gazetteer of Planetary Nomenclature: Moon: 1:10 million-scale Shaded Relief and Color-coded Topography: Far Side

These lunar maps display the four different areas of the moon with color-coded topography in low and high resolution approved by the International Astronomical Union (IAU).

Tags: far-side, imagery, images, lunar, maps, moon, near-side, north-pole, south-pole, topography, usgs, working-group-for-planetary-system-nomenclature
Organization: National Aeronautics and Space Administration
OCO-2 Level 1B calibrated, geolocated calibration spectra, Retrospective Processing V11r (OCO2_L1B_Calibration) at GES DISC

Version 11r is the current version of the data set. Older versions will no longer be available and are superseded by Version 11r.

The Orbiting Carbon Observatory is the first NASA missiondesigned to collect space-based measurements of atmospheric carbon dioxidewith the precision, resolution, and coverage needed to characterize theprocesses 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 ofreflected sunlight in the near-infrared CO2 near 1.61 and 2.06 micrometers and inmolecular oxygen (O2) A-Band at 0.76 micrometers. The three spectrometers have different characteristics and are calibrated independently. Their raw data numbers (DN) are delivered correlated in time tothe Level 1B process as Level 1A products. Each band has 1016 spectralelements, although some are masked out in the L2 retrieval.This L1B product results from calibration mode measurements (e.g., Lunar,Solar, Dark observations), and thus it differs from the OCO2_L1B_Science(L1bSc) product. The differences in the product formats are only in the geolocation information provided. Whereas the L1bSc products report geolocation data for each sounding, calibration products report the directionof the boresight vector.This is the retrospective processing where the calibration data is estimated from the full timeseries of data (before, during, and after the measurements), and is expected to be of slightly higher quality.

Tags: atmosphere, atmospheric-chemistry, earth-science, infrared-wavelengths, spectral-engineering
Organization: National Aeronautics and Space Administration
Prognostic Health-Management System Development for Electromechanical Actuators

Electro-mechanical actuators (EMAs) have been gaining increased acceptance as safety-critical actuation devices in the next generation of aircraft and spacecraft.  The aerospace manufacturers are not ready, however, to completely embrace EMAs for all applications due to apprehension with regard to some of the more critical fault modes.  This work aims to help address these concerns by developing and testing a prognostic health management system that diagnoses EMA faults and employs prognostic algorithms to track fault progression and predict the actuator remaining useful life. The diagnostic algorithm is implemented using a combined model-based and data-driven reasoner. The prognostic algorithm, implemented using Gaussian Process Regression, estimates the remaining life of the faulted component. The paper also covers the selection of fault modes for coverage and methods developed for fault injection. Validation experiments were conducted both in laboratory and flight conditions using the Flyable Electromechanical Actuator (FLEA) test stand. The FLEA allows test actuators to be subjected to realistic environmental and operating conditions, while providing the capability to safely inject and monitor propagation of various fault modes. The paper covers both diagnostic and prognostic, run-to-failure experiments, conducted in laboratory and flight conditions for several types of faults. The experiments demonstrated robust fault diagnosis on the selected set of component and sensor faults and high-accuracy predictions of failure time in prognostic scenarios.

Tags: ames, dashlink, nasa
Organization: National Aeronautics and Space Administration
Gazetteer of Planetary Nomenclature: Asteroids: Itokawa

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
Jaeger Monthly Mean Global Precipitation Climatology 2.5 x 5.0 degree V1 (RAIN_JEAGER) at GES DISC

The Jaeger Surface Rain Gauge Observations data set consists of gridded mean monthly global precipitation values for 1931 to 1960 over the continents and 1955 to 1965 over the oceans. 

In order to calculate monthly, seasonal, and annual variations of precipitation over the whole globe, both hemispheres, and various meridional zones, a gridding technique was used on data spanning 1931 to
1960 over the continents, and 1955 to 1965 over the oceans. For the continental regions, the grid point values were obtained as eye estimates from isopleth maps prepared from up-to-date climatic atlases containing annual and monthly rainfall values, supplemented by other data sets.
Although it was initially intended to use data for the standard period 1931-1960, this did not prove possible for all regions.

Moller's (1951) method for estimating rainfall frequencies was adopted to provide ocean precipitation data. Monthly percentage frequencies were extracted from the mapped isolines of the US Marine Climatic Atlas (US Naval Weather Service 1955-1965) and interpolated to the grid points. After re-expressing the monthly frequencies as annual percentages, the values were scaled to rainfall depth units using Geiger's (1965) precipitation map to yield monthly precipitation means.

Tags: atmosphere, earth-science, precipitation
Organization: National Aeronautics and Space Administration
EnviroAtlas - Phoenix, AZ - Atlas Area Boundary

This EnviroAtlas dataset shows the boundary of the Phoenix, AZ Atlas Area. It represents the outside edge of all the block groups included in the EnviroAtlas Area. 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: arizona, az, boundaries, communities, ecosystem, ecosystem services, enviroatlas, environment, environmental atlas, phoenix
Organization: U.S. Environmental Protection Agency
Amazon Web Services: NASA Earth Exchange (NEX) Global Daily Downscaled Projections (NEX-GDDP)

The NASA Earth Exchange (NEX) Global Daily Downscaled Projections (NEX-GDDP) dataset is comprised of downscaled climate scenarios that are derived from the General Circulation Model (GCM) runs conducted under the Coupled Model Intercomparison Project Phase 5 (CMIP5) [Taylor et al. 2012] and across the two of the four greenhouse gas emissions scenarios known as Representative Concentration Pathways (RCPs) [Meinshausen et al. 2011] developed for the Fifth Assessment Report of the Intergovernmental Panel on Climate Change (IPCC AR5). The dataset is an ensemble of projections from 21 different models and two RCPs (RCP 4.5 and RCP 8.5), and provides daily estimates of maximum and minimum temperatures and precipitation using a daily Bias-Correction - Spatial Disaggregation (BCSD) method (Thrasher, et al., 2012). The data spans the entire globe with a 0.25 degree (~25-kilometer) spatial resolution for the periods from 1950 through 2005 (Historical) and from 2006 to 2100 (Climate Projections).

Tags: amazon-web-services, aws, climate, earth-science
Organization: National Aeronautics and Space Administration
DXC'10 Framework and Oracle

The DXC Framework is a collection of programs and APIs for running and evaluating diagnostic algorithms (DAs) under identical experimental conditions. It is complementary to system XML catalogs and data sets. 

The Oracle is new to DXC'10 and provides a querying capability to the DAs to determine the correct actions for given faults. Because the oracle uses proprietary NASA software, it is provided only in binary form. Thus the framework is available as a windows binary installer, linux source files + binary oracle, or windows source files +
binary oracle. Please see the included READMEs and example DAs for more information.

Tags: ames, dashlink, nasa
Organization: National Aeronautics and Space Administration
VIIRS/NPP Snow Cover 6-Min L2 Swath 375m V001

This data set reports the location of snow cover using radiance data acquired by the Visible Infrared Imager Radiometer Suite (VIIRS) on board the Suomi National Polar-orbiting Partnership (NPP) satellite. Snow cover is identified using the Normalized Difference Snow Index (NDSI) and a series of quality control screens.

Tags: cryosphere, earth-science, snow-ice
Organization: National Aeronautics and Space Administration
Lidar In-Space Technology Experiment (LITE) L1

LITE_L1 data are LIDAR Vertical profile data along the orbital flight path of STS-64.Lidar In-Space Technology Experiment (LITE) used a three-wavelength (355 nm, 532 nm and 1064 nm) backscatter lidar which flew on the space shuttle Discovery as part of the STS-64 mission between September 9 and September 20, 1994. The LITE instrument was designed with the capability to make measurements of clouds, aerosols in the stratosphere and troposphere, the height of the planetary boundary layer, and atmospheric temperature and density in the stratosphere between 25 km and 40 km altitude. Additionally, limited measurements of the surface return strength over both land and ocean were collected to explore retrievals of surface properties.The LITE data were transmitted real time the by Ku-band system through TDRSS downlink to the LITE operations center at JSC. There was a gap in the high-rate coverage between 60 E and 85 E due to the zone of exclusion, where neither TDRSS satellite was in view. Additional random gaps in the data occurred due to telemetry dropouts during data transmission.The LITE L1 data product was formed by processing and reformatting the LITE high-rate telemetry data. The LITE L1 processing steps included:Correcting the profiles for instrument artifacts. Subtracting the DC offset from each lidar profile. Interpolating lidar profiles to a geolocated, common altitude grid, which extends from -4.985 to 40.0 km with a 15 m vertical resolution. Determining the LITE system calibration constants for the 355 nm and 532 nm wavelength profiles.Merged with the LITE L1 lidar profiles are: Identification Parameters, Time Parameters, Location Parameters, Operation Mode Parameters, Validity Flags, Measurement Location Descriptions, Temperature and Pressure Profiles Derived from NMC Data, Instrument Status Information.The archived files are concatenations of about 1000 (depending on data gaps) sets of headers and profiles. Read software programs written in C or IDL are available.

Tags: aerosols, atmosphere, earth-science
Organization: National Aeronautics and Space Administration
EnviroAtlas - Minneapolis/St. Paul, MN - 15m Riparian Buffer Forest Cover

This EnviroAtlas dataset describes the percentage of a 15-m riparian buffer that is forested. In this community, forest is defined as Trees and Forest and Woody Wetlands. There is a potential for decreased water quality in areas where the riparian buffer is less forested. The displayed line represents the center of the analyzed riparian buffer. The water bodies analyzed include hydrologically connected streams, rivers, connectors, reservoirs, lakes/ponds, ice masses, washes, locks, and rapids within the EnviroAtlas community area. 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, drinking water, ecosystem, ecosystem services, enviroatlas, environment, environmental atlas, ground water, impact, land cover, minneapolis/st. paul, minnesota, mn, natural resources, riparian, surface water, water
Organization: U.S. Environmental Protection Agency
A deployable 4-meter 180 to 680 GHz antenna for the Scanning Microwave Limb Sounder Project

&lt;p&gt;
	Build and test a full size (4x2 meter aperture) breadboard antenna for SMLS.&lt;/p&gt;
&lt;ul&gt;
	&lt;li&gt;
		Demonstrate critical azimuth scanning capability of a 4m SMLS antenna and its performance under thermal load environments.&lt;/li&gt;
&lt;/ul&gt;

Tags: active, nasa-headquarters, project
Organization: National Aeronautics and Space Administration
Probabilistic Model-Based Diagnosis for Electrical Power Systems

We present in this article a case study of the probabilistic
approach to model-based diagnosis. Here, the diagnosed
system is a real-world electrical power system, namely the
Advanced Diagnostic and Prognostic Testbed (ADAPT) located
at the NASA Ames Research Center. Our probabilistic approach
is formally well-founded, and based on Bayesian networks and
arithmetic circuits. We pay special attention to meeting two of the
main challenges  model development and real-time reasoning
 often associated with real-world application of model-based
diagnosis technologies. To address the challenge of model development,
we develop a systematic approach to representing electrical
power systems as Bayesian networks, supported by an easy-touse
specication language. To address the real-time reasoning
challenge, we compile Bayesian networks into arithmetic circuits.
Arithmetic circuit evaluation supports real-time diagnosis by
being predictable and fast. In experiments with the ADAPT
Bayesian network, which contains 503 discrete nodes and 579
edges and produces accurate results, the time taken to compute
the most probable explanation using arithmetic circuits has a
mean of 0.2625 milliseconds and a standard deviation of 0.2028
milliseconds. In comparative experiments, we found that while
the variable elimination and join tree propagation algorithms
also perform very well in the ADAPT setting, arithmetic circuit
evaluation was an order of magnitude or more faster.

**Reference:**

O. J. Mengshoel, M. Chavira, K. Cascio, S. Poll, A. Darwiche,
and S. Uckun. "Probabilistic Model-Based Diagnosis: An Electrical
Power System Case Study”. Accepted to IEEE Transactions on
Systems, Man, and Cybernetics, Part A, 2009.

Tags: ames, dashlink, nasa
Organization: National Aeronautics and Space Administration
DXC'13 Industrial Track Sample Data

The sample scenarios provided here are competition scenarios from previous DXC competitions. They are identical to the competition data associated with previous years' projects, but also listed here for convenience. The zip files have a spreadsheet 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.

Tags: ames, dashlink, nasa
Organization: National Aeronautics and Space Administration
ADVANCES IN PUPIL REMAPPING (PIAA) CORONAGRAPHY: IMPROVING BANDWIDTH, THROUGHPUT AND INNER WORKING ANGLE Project

Phase-Induced Amplitude Apodization (PIAA) is a high performance coronagraphic technique well suited for direct imaging and
spectroscopic characterization of potentially habitable Earth-like planets from space. It delivers high contrast images by performing a
lossless geometric remapping of the telescope beam with two aspheric mirrors, and simultaneously offers nearly full throughput, full
angular resolution of the telescope, small inner working angle, high contrast and low chromatism. While the early PIAA systems
(which are currently undergoing testing at several facilities) were designed to deliver high contrast at 2 l/D, newer hybrid designs can
theoretically deliver on a point source a 1e-10 contrast down to 0.64 l/D inner working angle with full throughput, approaching limits
imposed by fundamental principles. PIAA coronagraph designs offer nearly optimal coronagraphic solutions for a wide range of
telescope size and astrophysical goals, from debris disks and giant planet imaging with a small size (

Tags: active, project
Organization: National Aeronautics and Space Administration
HRIR/Nimbus-3 Level 1 Meteorological Radiation Data V001 (HRIRN3L1) at GES DISC

HRIRN3L1 is the High Resolution Infrared Radiometer (HRIR) Nimbus-3 Level 1 Meteorological Radiance Data (NMRT) product and contains infrared radiances converted to equivalent black-body temperature or "brightness" temperature values. The data, originally written on IBM 360 machines, were recovered from magnetic tapes, also referred to as Nimbus Meteorological Radiation Tapes (NMRT). The data are archived in their original IBM 36-bit word proprietary format, also referred to as a binary TAP file.

The HRIR instrument was designed to perform two major functions: first to map the Earth's cloud cover at night to complement the television coverage during the daytime portion of the orbit, and second to measure the temperature of cloud tops and terrain features.  The HRIR flown on Nimbus-3 was modified to allow nighttime and daytime cloud cover mapping  by use of dual band-pass filter which transmits 0.7 to 1.3 micron, and 3.4 to 4.2 micron radiation.  The HRIR instrument was launched on the Nimbus-3 satellite and was operational from April 14, 1966 through July 22, 1969. Nighttime operation was made in the 3.4 to 4.2 micron near infrared region.  Daytime operation was based on the predominance of reflected solar energy in the 0.7 to 1.3 micron region.  Change-over from nighttime to daytime operation was accomplished automatically (or by ground station command), by actuating a relay in the early stages of the radiometer electronics.  The system gain was reduced in the daytime mode to compensate for the higher energy levels.

This product was previously available from the NSSDC with the identifier ESAD-00222 (old ID 69-037A-02C).

Tags: earth-science, infrared-wavelengths, spectral-engineering
Organization: National Aeronautics and Space Administration
GPM Ground Validation Precipitation Estimation from Remotely Sensed Information using Artificial Neural Networks Cloud Classification System (PERSIANN-CCS) IFloodS V1

The GPM Ground Validation Precipitation Estimation from Remotely Sensed Information using Artificial Neural Networks Cloud Classification System (PERSIANN-CCS) IFloodS dataset is a subset from the global 30-minute PERSIANN-CCS files generated in near-real time selected for the time period of the GPM Ground Validation Iowa Flood Studies (IFloodS) field campaign. The main goal of IFloodS were to collect detailed measurements of precipitation at the Earth’s surface using ground instruments and advanced weather radars and to simultaneously collect data from satellites passing overhead. This PERSIANN-CCS data product is available in ASCII and netCDF-4 formats from April 1, 2013 thru July 1, 2013.

Tags: atmosphere, atmospheric-water-vapor, earth-science, precipitation
Organization: National Aeronautics and Space Administration
Shuttle SBUV (SSBUV) Solar Spectral Irradiance V008 (SSBUVIRR) at GES DISC

The Shuttle Solar Backscatter Ultraviolet (SSBUV) level-2 irradiance data are available for eight space shuttle missions flown between 1989 and 1996. SSBUV, a successor to the SBUV flown on the Nimbus-7 satellite, is nearly identical to the SBUV/2 instruments flown on the NOAA polar orbiting satellites. Data are available in an ASCII text format. UV irradiance data are available for the following days from the eight missions:

Flight #1: 1989 October 19, 20, 21
Flight #2: 1990 October 7, 8, 9
Flight #3: 1991 August 3, 4, 5, 6
Flight #4: 1992 March 29, 30
Flight #5: 1993 April 9, 11, 13, 15, 16
Flight #6: 1994 March 14, 15, 17
Flight #7: 1994 November 5, 7, 10, 13
Flight #8: 1996 January 12, 16, 18

The Shuttle SBUV (SSBUV) instrument measured solar spectral UV irradiance during the maximum and declining phase of solar cycle 22. The SSBUV data accurately represent the absolute solar UV irradiance between 200-405 nm, and also show the long-term variations during eight flights between October 1989 and January 1996. These data have been used to correct long-term sensitivity changes in the NOAA-11 SBUV/2 data, which provide a near-daily record of solar UV variations over the 170-400 nm region between December 1988 and October 1994. These data demonstrate the evolution of short-term solar UV activity during solar cycle 22.

Tags: earth-science, solar-activity, sun-earth-interactions
Organization: National Aeronautics and Space Administration