AndreaBozzo/ceres-open-data-index huggingface dataset:
SWOT Level 2 Lake Single-Pass Vector Obs Data Product, Version 2.0

The SWOT Level 2 Lake Single-Pass Vector Obs Data Product from the Surface Water Ocean Topography (SWOT) mission provides water surface elevation, area, storage change derived from the high rate (HR) data stream from the Ka-band Radar Interferometer (KaRIn). SWOT launched on December 16, 2022 from Vandenberg Air Force Base in California into a 1-day repeat orbit for the "calibration" or "fast-sampling" phase of the mission, which completed in early July 2023. After the calibration phase, SWOT entered a 21-day repeat orbit in August 2023 to start the "science" phase of the mission, which is expected to continue through 2025. <br>
Water surface elevation, area, and storage change are provided in three feature datasets covering the full swath for each continent-pass: 1) an observation-oriented feature dataset of lakes identified in the prior lake database (PLD), 2) a feature dataset of lakes identified in the PLD, and 3) a feature dataset containing unassigned features (i.e., not identified in PLD nor prior river database (PRD)).  These data are generally produced for inland and coastal hydrology surfaces, as controlled by the reloadable KaRIn HR mask. The dataset is distributed in ESRI Shapefile format. <br>
This collection is a sub-collection of its parent: https://podaac.jpl.nasa.gov/dataset/SWOT_L2_HR_LakeSP_2.0 It contains observation-oriented feature datasets of lakes identified in the prior lake database (PLD).

Tags: earth-science, surface-water, terrestrial-hydrosphere
Organization: National Aeronautics and Space Administration
ATLAS/ICESat-2 L3B Daily and Monthly Gridded Sea Ice Freeboard V004

ATL20 contains daily and monthly gridded estimates of sea ice freeboard, derived from along-track freeboard estimates in the ATLAS/ICESat-2 L3A Sea Ice Freeboard product (ATL10). Data are gridded at 25 km using the SSM/I Polar Stereographic Projection.

Tags: cryosphere, earth-science, sea-ice
Organization: National Aeronautics and Space Administration
Ground-Based Global Navigation Satellite System Data (30-second sampling, 1 hour files) from NASA CDDIS

Global Navigation Satellite System (GNSS) daily 30-second sampled data available from the Crustal Dynamics Data Information System (CDDIS). Global Navigation Satellite System (GNSS) provide autonomous geo-spatial positioning with global coverage. GNSS data sets from ground receivers at the CDDIS consist primarily of the data from the U.S. Global Positioning System (GPS) and the Russian GLObal NAvigation Satellite System (GLONASS). Other GNSS (Europe’s Galileo, China’s Beidou, Japan’s Quasi-Zenith Satellite System/QZSS, the Indian Regional Navigation Satellite System/IRNSS, and worldwide Satellite Based Augmentation Systems/SBASs) are similar to the U.S. GPS in terms of the satellite constellation, orbits, and signal structure; CDDIS began archiving data from these systems in 2011. These data include hourly files of observation (30-second sampling), broadcast ephemeris, meteorological messages in RINEX format as well as other files (e.g., hourly meteorological data) from a global network of permanent ground-based receivers.

Tags: earth-science, geodetics, gravity-gravitational-field, solid-earth, tectonics
Organization: National Aeronautics and Space Administration
ARC Code TI: Self-Healing Independent File Transfer (Shift)

Shift is a lightweight framework for high performance local and remote file transfers that provides resiliency across a wide variety of failure scenarios through various techniques. These include end-to-end integrity via cryptographic hashes, throttling of transfers to prevent resource exhaustion, balancing transfers across resources based on load and availability, and parallelization of transfers across multiple source and destination hosts for increased redundancy and performance.

Tags: data-transfer, file-transfer, parallel, self-healing-independent-file-transfer, shift
Organization: National Aeronautics and Space Administration
Towards Software Health Management with Bayesian Networks

As software and software intensive systems are becoming increasingly ubiquitous, the impact of failures can be tremendous. In some industries such as aerospace, medical devices, or automotive, such failures can cost lives or endan- ger mission success. Software faults can arise due to the inter- action between the software, the hardware, and the operating environment. Unanticipated environmental changes lead to software anomalies that may have significant impact on the overall success of the mission. Latent coding errors can at any time during system operation trigger faults despite the fact that usually a significant effort has been expended in verification and validation (V&V) of the software system. Nevertheless, it is becoming increasingly more apparent that pre-deployment V&V is not enough to guarantee that a com- plex software system meets all safety, security, and reliabil- ity requirements. Software Health Management (SWHM) is a new field that is concerned with the development of tools and technologies to enable automated detection, diagnosis, prediction, and mitigation of adverse events due to software anomalies, while the system is in operation. The prognos- tic capability of the SWHM to detect and diagnose failures before they happen will yield safer and more dependable systems for the future. This paper addresses the motivation, needs, and requirements of software health management as a new discipline and motivates the need for SWHM in safety critical applications.

Tags: ames, dashlink, nasa
Organization: National Aeronautics and Space Administration
IceBridge HiCARS 2 L1B Time-Tagged Echo Strength Profiles V001

This data set contains Antarctica radar sounder echo strength profiles from the Hi-Capability Radar Sounder (HiCARS) Version 2 instrument. The data were collected by scientists working on the Investigating the Cryospheric Evolution of the Central Antarctic Plate (ICECAP) project, which was funded by the National Science Foundation (NSF) and the Natural Environment Research Council (NERC) with additional support from NASA Operation IceBridge.

Tags: earth-science, radar, sensor-characteristics, spectral-engineering
Organization: National Aeronautics and Space Administration
Experimental Validation of a Prognostic Health Management System for Electro-Mechanical Actuators

The work described herein is aimed to advance prognostic health management solutions for electro-mechanical actuators and, thus, increase their reliability and attractiveness to designers of the next generation aircraft and spacecraft. In pursuit of this goal the team adopted a systematic approach by starting with EMA FMECA reviews, consultations with EMA manufacturers, and extensive literature reviews of previous efforts. Based on the acquired knowledge, nominal/off-nominal physics models and prognostic health management algorithms were developed. In order to aid with development of the algorithms and validate them on realistic data, a testbed capable of supporting experiments in both laboratory and flight environment was developed. Test actuators with architectures similar to potential flight-certified units were obtained for the purposes of testing and realistic fault injection methods were designed. Several hundred fault scenarios were created, using permutations of position and load profiles, as well as fault severity levels. The diagnostic system was tested extensively on these scenarios, with the test results demonstrating high accuracy and low numbers of false positive and false negative diagnoses. The prognostic system was utilized to track fault progression in some of the fault scenarios, predicting the remaining useful life of the actuator. A series of run-to-failure experiments were conducted to validate its performance, with the resulting error in predicting time to failure generally lesser than 10% error. While a more robust validation procedure would require dozens more experiments executed under the same conditions (and, consequently, more test articles destroyed), the current results already demonstrate the potential for predicting fault progression in this type of devices. More prognostic experiments are planned for the next phase of this work, including investigation and comparison of other prognostic algorithms (such as various types of Particle Filter and GPR), addition of new fault types, and execution of prognostic experiments in flight environment.

Tags: ames, dashlink, nasa
Organization: National Aeronautics and Space Administration
An Integrated Model-Based Distributed Diagnosis and Prognosis Framework

Diagnosis and prognosis are necessary tasks for system reconfiguration and fault-adaptive control in complex systems. Diagnosis consists of detec- tion, isolation and identification of faults, while prognosis consists of prediction of the remain- ing useful life of systems. This paper presents an integrated model-based distributed diagnosis and prognosis framework, where system decomposi- tion is used to perform the diagnosis and prog- nosis tasks in a distributed way. We show how different submodels can be automatically con- structed to solve the local diagnosis and prog- nosis problems. We illustrate our approach us- ing a simulated four-wheeled rover for different fault scenarios. Our experiments show that our approach correctly performs fault diagnosis and prognosis in a robust manner.

Tags: ames, dashlink, nasa
Organization: National Aeronautics and Space Administration
Entry Systems Modeling (ESM) Project

&lt;p&gt;Cutting edge customer driven research in two areas:&lt;/p&gt;&lt;p&gt;&lt;u&gt;Aerosciences&lt;/u&gt;, including the completion and delivery of two new aerothermal CFD codes, a first ever validated shock layer radiation model, and an experimental validationdatabase, at flight-relevant enthalpy, for current and future generations.&lt;/p&gt;&lt;p&gt;&lt;u&gt;EDL Materials&lt;/u&gt;, including the&amp;nbsp;development and delivery of two&amp;nbsp;new flexible TPS systems to&amp;nbsp;enable HIAD missions, vastly&amp;nbsp;improved ablator modeling&amp;nbsp;capability, and improved&amp;nbsp;polymer resins&amp;nbsp;to enhance or enable&amp;nbsp;future developments&amp;nbsp;in woven, flexible and&amp;nbsp;conformal thermal&amp;nbsp;protection systems.&lt;/p&gt;

Tags: active, ames-research-center, project
Organization: National Aeronautics and Space Administration
Advanced Multiplexed TES Arrays Project

X-ray measurements are critical for the understanding of cycles of matter and energy in the Universe, for understanding the nature of dark matter and dark energy, and for probing gravity in the extreme limit of matter accretion onto a black hole. We propose a program to mature the current x-ray microcalorimeter technology, while developing transformational technology that will enable megapixel arrays.

X-ray calorimeters based on superconducting transition-edge sensors achieve the highest energy resolution of any non-dispersive detector technology. The performance of single x-ray calorimeter pixels has reached that required for many possible future missions such as IXO, RAM, and Generation-X, but further optimization is still useful. In the last years, we have made progress in developing techniques to control and engineer the properties of the superconducting transition. We propose to continue this single-pixel optimization, and to improve both the practical and theoretical understanding of the correlation between alpha, beta, and noise to identify favorable regions of parameter space for different instruments.

A greater challenge is the development of mature TES x-ray calorimeter arrays with a very large number of pixels. Advances in the last several years have been significant. We have developed modestly large (256 pixel) x-ray calorimeter arrays with time-division SQUID multiplexing, and demonstrated Walsh code-division SQUID multiplexing, which has the potential to allow scaling to much larger arrays. Here we propose to extend this work, and also to introduce a new code-division SQUID multiplexing circuit with extremely compact, low-power elements. Using this approach, it is possible for the first time to fit all of the detector biasing and multiplexing elements underneath an x-ray absorber, allowing in-focal-plane multiplexing. This approach eliminates the requirement to bring leads from each pixel out of the focal plane, while reducing the power dissipati

Tags: active, project
Organization: National Aeronautics and Space Administration
Model-based prognostics for batteries which estimates useful life and uses a probability density function

This invention develops a mathematical 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. Effects of temperature and load current have also been incorporated into the model. 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 metrics customized for prognostics for a sample case. 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
A Survey of Health Management User Objectives in Aerospace  Systems Related to Diagnostic and Prognostic Metrics

One of the most prominent technical challenges to 
effective deployment of health management systems is the 
vast difference in user objectives with respect to 
engineering development. In this paper, a detailed survey 
on the objectives of different users of health management 
systems is presented. These user objectives are then 
mapped to the metrics typically encountered in the 
development and testing of two main systems health 
management functions: diagnosis and prognosis. Using 
this mapping, the gaps between user goals and the metrics 
associated with diagnostics and prognostics are identified 
and presented with a collection of lessons learned from 
previous studies that include both industrial and military 
aerospace applications.*

Tags: ames, dashlink, nasa
Organization: National Aeronautics and Space Administration
GOES-R PLT Kennedy Space Center Lightning Mapping Array (LMA) V1

The GOES-R PLT Kennedy Space Center Lightning Mapping Array (LMA) dataset consists of total lightning data measured from the Kennedy Space Center LMA (KSCLMA) network during the GOES-R Post Launch Test (PLT) airborne science field campaign. The GOES-R PLT airborne science field campaign took place in support of the post-launch product validation of the Advanced Baseline Imager (ABI) and the Geostationary Lightning Mapper (GLM). The LMA measures the arrival time of radiation from a lightning discharge at multiple stations and locates the sources of radiation to produce a three-dimensional map of total lightning activity. These data files are available in compressed ASCII files and are available from March 1, 2017 through June 1, 2017.

Tags: atmosphere, atmospheric-electricity, earth-science
Organization: National Aeronautics and Space Administration
Integrated Health Management Definitions

The Joint Army Navy NASA Air Force Modeling and Simulation Subcommittee's Integrated Health Management panel was started about 6 years ago to help foster communication and collaboration in health management related issues for liquid and solid rocket propulsion systems.  The panel is co-chaired by Mr. Scott Hyde (ATK) and Ashok N. Srivastava, Ph.D. (NASA).

In order to have a common langauge for health management, we need to have a common set of definitions.  We have attached a MS Excel spreadsheet that covers the many terms that are of interest to us in the field.

Please take a look at the definitions and provide comments and additional terms (with or without definitions) using the feedback box below.  We will compile all the definitions into a master list for submittal to the Modeling and Simulation Subcommittee.

Tags: ames, dashlink, nasa
Organization: National Aeronautics and Space Administration
GPM GROUND VALIDATION NASA S-BAND DUAL POLARIMETRIC (NPOL) DOPPLER RADAR MC3E V1

The GPM Ground Validation NASA S-band Dual Polarimetric (NPOL) Doppler Radar MC3E dataset was collected by the NASA NPOL radar, which was developed by a research team from Wallops Flight Facility, is a fully transportable and self-contained S-band (10 cm), scanning dual-polarimetric, doppler research radar that collected data nearly continuously during the Midlatitude Continental Convective Clouds Experiment (MC3E) field campaign. The overarching goal was to provide the most complete characterization of convective cloud systems, precipitation, and the environment that has ever been obtained, providing constraints for model cumulus parameterizations and space-based rainfall retrieval algorithms over land that had never before been available. NPOL scanned in high resolution Range Height Indicator (RHI) mode (every 40 sec) and provided measurements of precipitation in liquid, mixed and ice phase. The scanning strategy emphasized vertical structure sampling via RHI and narrow sector-volume data collections. Additional files were processed from the UF files using the Colorado State University (CSU) Hydrometeor Identification Algorithm (HID) providing classification of hydrometeors (e.g. rain, drizzle, hail, ice crystals, wet or dry snow, graupel density). Data was collected from April 11, 2011 through June 3, 2011.

Tags: atmosphere, earth-science, precipitation, radar, spectral-engineering
Organization: National Aeronautics and Space Administration
SMAP_L1C_SIGMA_NAUGHT_HIGH_RES_METADATA_V002

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

Tags: active-remote-sensing, earth-observation-satellites, earth-remote-sensing-instruments, earth-science, imaging-radars, nasa-decadal-survey, platform-characteristics, radar, smap, spectral-engineering
Organization: National Aeronautics and Space Administration
IceBridge HiCARS 2 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 was 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, land-surface, radar, sea-ice, snow-ice, spectral-engineering, topography
Organization: National Aeronautics and Space Administration
EnviroAtlas - Chicago, IL - Demographics by Block Group

This EnviroAtlas dataset is a summary of key demographic groups for the EnviroAtlas community. 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: boundaries, census block groups, chicago, communities, demographics, ecosystem, ecosystem services, enviroatlas, environment, environmental atlas, human, il, illinois, society
Organization: U.S. Environmental Protection Agency
Qualitative Event-based Diagnosis with Possible Conflicts: Case Study on the Third International Diagnostic Competition

We describe two model-based diagnosis algo- rithms entered into the Third International Diag- nostic Competition. We focus on the first diag- nostic problem of the industrial track of the com- petition in which a diagnosis algorithm must de- tect, isolate, and identify faults in an electrical power distribution testbed in order to provide cor- rect abort recommendations. Both diagnosis al- gorithms are based on a qualitative event-based fault isolation framework augmented with model- based fault identification. Although based on a common framework, the fundamental difference between the two algorithms is that one is based on a global model for residual generation, fault iso- lation, and fault identification, whereas the other uses a set of minimal submodels computed using Possible Conflicts. We describe, compare, and contrast the two algorithms in terms of practical implementation and their diagnosis results.

Tags: ames, dashlink, nasa
Organization: National Aeronautics and Space Administration
Multiple Damage Progression Paths in Model-based Prognostics

Model-based prognostics approaches employ do- main knowledge about a system, its components, and how they fail through the use of physics-based models. Compo- nent wear is driven by several different degradation phenom- ena, each resulting in their own damage progression path, overlapping to contribute to the overall degradation of the component. We develop a model-based prognostics method- ology using particle filters, in which the problem of charac- terizing multiple damage progression paths is cast as a joint state-parameter estimation problem. The estimate is repre- sented as a probability distribution, allowing the prediction of end of life and remaining useful life within a probabilistic framework that supports uncertainty management. We also develop a novel variance control mechanism that maintains an uncertainty bound around the hidden parameters to limit the amount of estimation uncertainty and, consequently, reduce prediction uncertainty. We construct a detailed physics-based model of a centrifugal pump, to which we apply our model- based prognostics algorithms. We illustrate the operation of the prognostic solution with a number of simulation-based experiments and demonstrate the performance of the chosen approach when multiple damage mechanisms are active.

Tags: ames, dashlink, nasa
Organization: National Aeronautics and Space Administration
A Distributed Approach to System-Level Prognostics

Prognostics, which deals with predicting remaining useful life of components, subsystems, and systems, is a key tech- nology for systems health management that leads to improved safety and reliability with reduced costs. The prognostics problem is often approached from a component-centric view. However, in most cases, it is not specifically component life- times that are important, but, rather, the lifetimes of the sys- tems in which these components reside. The system-level prognostics problem can be quite difficult due to the increased scale and scope of the prognostics problem and the rela- tive lack of scalability and efficiency of typical prognostics approaches. In order to address these issues, we develop a distributed solution to the system-level prognostics prob- lem, based on the concept of structural model decomposi- tion. The system model is decomposed into independent submodels. Independent local prognostics subproblems are then formed based on these local submodels, resulting in a scalable, efficient, and flexible distributed approach to the system-level prognostics problem. We provide a formulation of the system-level prognostics problem and demonstrate the approach on a four-wheeled rover simulation testbed. The re- sults show that the system-level prognostics problem can be accurately and efficiently solved in a distributed fashion.

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