AndreaBozzo/ceres-open-data-index huggingface dataset:
Terra MODIS Level-3 Global Mapped 4µm Day/Night Sea Surface Temperature (SST4) - Near Real-time (NRT) Data, version R2019.0

The Ocean Biology DAAC produces near real-time (quicklook) products using the best-available combination of ancillary data from meteorological and ozone data. As such, the inputs and the calibration used are less than optimal. Quicklook products provide a snapshot of the data during a short time period within a single orbit.

Tags: earth-science, national-geospatial-data-asset, ngda, ocean-temperature, oceans
Organization: National Aeronautics and Space Administration
Global Land Survey 2010

Global Land Survey 2010 images were acquired from 2008 to 2011 by Landsat 7 ETM+ and Landsat 5 Thematic Mapper (TM).

The U.S. Geological Survey (USGS) and the National Aeronautics and Space Administration (NASA) collaborated on the creation of the global land datasets using Landsat data from 1972 through 2008. Each of these global datasets was created from the primary Landsat sensor in use at the time: the Multispectral Scanner (MSS) in the 1970s, the Thematic Mapper (TM) in 1990, the Enhanced Thematic Mapper Plus (ETM+) in 2000, and a combination of TM and ETM+, as well as EO-1 ALI data, in 2005.

Tags: earth-science, land-surface, surface-radiative-properties, topography
Organization: National Aeronautics and Space Administration
OMPS-NPP L2 NM Ozone (O3) Total Column swath orbital NRT

The OMPS-NPP L2 NM Ozone (O3) Total Column swath orbital product provides  total ozone measurements from the Ozone Mapping and Profiling Suite (OMPS)  Nadir-Mapper (NM) instrument on the Suomi-NPP satellite.The total column  ozone amount is derived from normalized radiances using 2 wavelength pairs  317.5 and 331.2 nm under most conditions, and 331.2 and 360 nm for high  ozone and high solar zenith angle conditions. Additionally, this data  product contains measurements of UV aerosol index and reflectivity at  331 nm.Each granule contains data from the daylight portion of each orbit  measured for a full day. Spatial coverage is global (-90 to  90 degrees  latitude), and there are about 14.5 orbits per day, each has typically 400  swaths. The swath width of the NM is about 2800 km with 36 scenes, or  pixels, with a footprint size of 50 km x 50 km at nadir. The L2 NM Ozone  data are written using the Hierarchical Data Format Version 5 or HDF5.

Tags: nasa
Organization: National Aeronautics and Space Administration
An Event-based Approach to Hybrid Systems Diagnosability

Diagnosability is an important issue in the design of diagnostic systems, because it helps identify whether sufficient information is available to distinguish all the faults. Diagnosability of hybrid systems, however, is challenging, because mode transitions may occur during fault isolation. We present an event-based framework for hybrid systems diagnosis based on a qualitative abstraction of measurement deviations from nominal behavior. We derive event-based fault models that describe the possible measurement deviations sequences due to faults, which, coupled with the mode transition structure of the system, are used to automatically synthesize an event-based diagnoser for hybrid systems. We introduce notions of diagnosability for hybrid systems and show how the event-based diagnoser can be used to verify the diagnosability of the system. We apply our diagnosability analysis scheme to a real-world electrical power distribution system.

Tags: ames, dashlink, nasa
Organization: National Aeronautics and Space Administration
TROPICS05 L2B Neural-network Atmospheric Vertical Temperature & Moisture Profiles V0.2

The "Time-Resolved Observations of Precipitation structure and storm Intensity with a Constellation of Smallsats" (TROPICS) mission has a goal of providing nearly all-weather observations of three-dimensional temperature and humidity, as well as cloud ice and precipitation horizontal structure, at high temporal resolution to conduct high-value science investigations of tropical cyclones. The mission comprises a constellation of five identical Space Vehicles (SVs) conforming to the 3U form factor and hosting a passive microwave spectrometer payload.

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

This dataset is the Level-2B Neural Network Atmospheric Vertical Profiles (NNAVP) – Neural Network vertical profile retrieval approach for temperature profiles in Kelvin (K) and water vapor mixing ratio profiles in (kg/kg).  Retrievals are done in all non and precipitating conditions, over both land and ocean. Temperature profiles go from surface to 20 km and water profiles from surface to 10-km. The geophysical retrieval of atmospheric vertical temperature is at the larger unified F-band spatial resolution while the retrieval of vertical moisture is at the finer G-band spatial resolution. Each TROPICS netCDF file contains a granule of data with 81 spots and approximately 2880 scans, where a granule is defined as an orbit's worth of data.

Tags: earth-science, microwave, spectral-engineering
Organization: National Aeronautics and Space Administration
High Mountain Asia Daily 0.05 x 0.05 deg Noah-MP Land Surface Model Reanalysis V001

This data set consists of a water budget reanalysis for the High Mountain Asia (HMA) region spanning the years 2003 through 2020. Estimates are provided for more than 30 parameters, including storages; fluxes; snow depth, extent, and snow water equivalent; temperature (land surface, soil, snow, and ice); surface albedo; soil moisture; evapotranspiration; and streamflow.

The data were generated using the Noah Multi-Parameterization (Noah-MP) land surface model (Version 4.0.1), driven by precipitation estimates and hydrological inputs developed specifically for HMA.

Tags: earth-science, terrestrial-hydrosphere, water-budget
Organization: National Aeronautics and Space Administration
New Sensing Application to Diagnose Power Semiconductor Aging in Actuator Power Drive Systems

This paper presents a new sensing application
to diagnose power semiconductor aging in power drive
systems. It has been shown previously that device
parasitic characteristics change during the aging process
which results in detectable changes in their frequency
response. This change is manifested in the current signal
at very high frequencies. Therefore, using a wideband
AC current sensor, high frequency components of the
current can be acquired, providing a way to detect
device aging.

Tags: ames, dashlink, nasa
Organization: National Aeronautics and Space Administration
Carbon Nanotube Multifunctional Tendons for Tensegrity Robots Project

&lt;p&gt;Tensegrity robots have attracted considerable attention for use in planetary exploration missions because they can be stowed into relatively small volumes before launch and are readily deployable upon landing. Because of their design and structure they can absorb significant impact shocks, such as those experienced during landing, and are well suited for use on extremely rough planetary terrains.&lt;/p&gt;

Tags: completed, glenn-research-center, project
Organization: National Aeronautics and Space Administration
Battery Charge Depletion Prediction on an Electric Aircraft

Validation of prognostic technologies through ground and flight tests is an important step in maturing these novel technologies and deploying them on real-world systems. To this end, a series of flight tests have been conducted using an unmanned electric vehicle during which the motor system batteries were monitored by a prognostic algorithm. The research presented here endeavors to produce and validate a technology for predicting the remaining time until end-ofdischarge of the batteries on an electric aircraft as a function of an expected future flight and online estimates of the charge contained in the batteries. Flight data and flight experiment results are presented along with an assessment of model and algorithm performance

Tags: ames, dashlink, nasa
Organization: National Aeronautics and Space Administration
SAR Image Enhancement using Particle Filters

In this paper, we propose a novel approach to reduce the noise in Synthetic Aperture Radar (SAR) images using particle filters. Interpretation of SAR images is a difficult problem, since they are contaminated with a multiplicative noise, which is known as the “Speckle Noise”. In literature, the general approach  for removing
the speckle is to use the local statistics, which are computed in a square window. Here, we propose to use particle filters, which is a sequential Bayesian technique. The proposed method also uses the local statistics to denoise the images. Since this is a Bayesian
approach, the computed statistics of the window can be exploited as a priori information. Moreover, particle filters are sequential methods, which are more appropriate to handle the heterogeneous structure of the image. Computer simulations show that the proposed method provides better edge-preserving results with
satisfactory speckle removal, when compared to the results obtained by Gamma Maximum a posteriori (MAP) filter.

Tags: ames, dashlink, nasa
Organization: National Aeronautics and Space Administration
Soil Moisture Active Passive (SMAP) L4 Soil Moisture Ancillary Climatology Files V001

This ancillary SMAP product contains a static soil moisture climatology data set. Specifically, this data set includes root zone and profile soil moisture climatology files for percentile conversion and post-processing of Land Data Assimilation Systems (LDAS) output.

Tags: earth-science, land-surface, soils
Organization: National Aeronautics and Space Administration
AMSR/ADEOS-II L1A Raw Observation Counts V003

The AMSR/ADEOS-II L1A Raw Observing Counts (AMSR-L1A) data set was processed from Level 0 science packet data by the JAXA Earth Observation Center (EOC) in Japan.

Tags: earth-science, microwave, spectral-engineering
Organization: National Aeronautics and Space Administration
GPM GROUND VALIDATION NASA MICRO RAIN RADAR (MRR) MC3E V1

The GPM Ground Validation NASA Micro Rain Radar (MRR) MC3E dataset was collected by a Micro Rain Radar (MRR), which is a vertically pointing Doppler radar which provides measurements of vertical velocity, drop size distribution, rainfall rate, attenuation, liquid water content, and reflectivity factor obtained during the Midlatitude Continental Convective Clouds Experiment (MC3E), which took place in Oklahoma during the Spring of 2011. The MRR is a frequency-modulated continuous wave (FMCW) vertically pointing Doppler radar, which operates at 24.24GHz, and is the second generation of the instrument manufactured by METEK (URL: http://metek.de/product/mrr-2/).

Tags: atmosphere, earth-science, precipitation, radar, spectral-engineering
Organization: National Aeronautics and Space Administration
Highly Scalable Matching Pursuit Signal Decomposition Algorithm

In this research, we propose a variant of the classical Matching Pursuit Decomposition (MPD) algorithm with significantly improved scalability and computational performance. MPD is a powerful iterative algorithm that decomposes a signal into linear combinations of its dictionary elements or “atoms”. A best fit atom from an arbitrarily defined dictionary is determined through cross-correlation. The selected atom is subtracted from the signal and this procedure is repeated on the residual in the subsequent iterations until a stopping criteria is met.

A sufficiently large dictionary is required for an accurate reconstruction; this in return increases the computational burden of the algorithm, thus limiting its applicability and level of adoption. Our main contribution lies in improving the computational efficiency of the algorithm to allow faster decomposition while maintaining a similar level of accuracy. The Correlation Thresholding and Multiple Atom Extractions techniques were proposed to decrease the computational burden of the algorithm. Correlation thresholds prune insignificant atoms from the dictionary. The ability to extract multiple atoms within a single iteration enhanced the effectiveness and efficiency of each iteration. The proposed algorithm, entitled MPD++, was demonstrated using real world data set.

Tags: ames, dashlink, nasa
Organization: National Aeronautics and Space Administration
RSW Node Centered Coarse Grid w/ Split Walls Modified

Dr. Chwalowski,
We just generated a modified version of the coarse node centered grid with split walls. Here the red and green sections you highlighted in the email have been merged.
Please let me know if it is good so we can generate the rest of the grids and upload them.
Thanks,

- Rajiv

Tags: ames, dashlink, nasa
Organization: National Aeronautics and Space Administration
High Mountain Asia TRMM-derived 3B42 Extreme Precipitation Indices V001

This data set features seven standard annual mean extreme precipitation indices: Rx1day, Rx5day, CWD, R10mm, R20mm, R95pTOT, and R99pTOT. They were selected on the basis of potential relevance to landslide activity from the 27 indices established by the joint CCl/CLIVAR/JCOMM Expert Team (ET) on Climate Change Detection and Indices (ETCCDI). The seven indices were calculated from 3B42 version 7 daily satellite precipitation estimates.

Tags: atmospheric-ocean-indicators, climate-indicators, earth-science
Organization: National Aeronautics and Space Administration
CDDIS SESES MEaSUREs products total water storage grids

Making Earth System Data Records for Use in Research Environments (MEaSUREs) empowers the research community to participate in developing and generating data products that complement and augment NASA produced and distributed Earth science data products. NASA’s Enhanced Solid Earth Science Earth Science Data Record (ESDR) System (ESESES) continues and extends mature geodetic data product generation and archival as part of the MEaSUREs SESES project providing new, multi-decade, calibrated and validated geodetic-derived ESDRs obtained by the Scripps Institution of Oceanography (SIO) and NASA's Jet Propulsion Laboratory (JPL). These data-derived products include continuous multi-year high-rate GNSS, seismogeodetic, and meteorological time series, a catalog of transient deformation in tectonically active areas known for aseismic motion such as ETS with focus in Cascadia, and continuous estimation and cataloging of total near-surface water content derived from continuous GNSS time series over the continental U.S. These data products are grids of changes in total water storage over the continental U.S.; continuous estimation and cataloging of total near-surface water content derived from continuous GNSS time series over the continental U.S.

Tags: nasa
Organization: National Aeronautics and Space Administration
OCO-3 Instrument Attitude and Ephemeris Data for One Specific Solar Day, Retrospective Processing V11r (OCO3_L1aAE) 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 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-3 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. The three spectrometers have different characteristics and are calibrated independently. Their raw data numbers (DN) are delivered correlated in time to the Level 1B process as Level 1A products. Each band has 1016 spectral elements, although some are masked out in the L2 retrieval.This product is the input to the Level 1B process. It is depacketized raw data formatted into a standard granularity with calibrated engineering data (for both science and calibration observations), in the Sample Mode of operation.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
Soil Moisture Active Passive (SMAP) L4 Carbon Ancillary Biome Parameter Look Up Table V001

This ancillary SMAP product contains biophysical characteristics (biome parameters) used to estimate carbon fluxes and soil organic carbon in the SMAP L4 Carbon algorithm. Biophysical characteristics were established from previous studies and the parameters defined for the MODIS MOD17 operation GPP algorithm. This data set was refined through regional and global comparisons and calibration of prototype SMAP L4 Carbon calculations.

Tags: atmosphere, atmospheric-temperature, atmospheric-water-vapor, biosphere, earth-science, ecological-dynamics, environmental-governance-management, human-dimensions
Organization: National Aeronautics and Space Administration
CAMEX-3 DC-8 NAVIGATION (DADS) DATA V1

The CAMEX-3 DC-8 Navigation Data Acquisition and Distribution System (DADS) data files contain information recorded by navigation and data collection systems onboard the NASA DC-8 aircraft. These data files contain typical navigation data (e.g. date, time, lat/lon, altitude), and meteorological parameters (e.g. wind speed and direction, temperature, saturation vapor pressure) collected in support of the third field campaign in the Convection And Moisture EXperiment (CAMEX) series, CAMEX-3. This field campaign took place from August to September 1998 based out of Patrick Air Force Base in Florida, with the purpose of studying various aspects of  tropical cyclones in the region. These data are available in ASCII file format with browse imagery available in GIF file format. Each file contains data recorded at one second intervals for each flight.

Tags: atmosphere, atmospheric-temperature, atmospheric-water-vapor, atmospheric-winds, earth-science, platform-characteristics, spectral-engineering
Organization: National Aeronautics and Space Administration
Bonissone CIDU Presentation: Design of Local Fuzzy Models

After reviewing key background concepts in fuzzy systems and evolutionary computing, we will focus on the use of local fuzzy models, which are related to both kernel regressions and locally weighted learning. Instead of using a manual approach to develop such models, we use evolutionary algorithms to search in the design space of these models.

With these models we will determine the remaining life of a unit in a fleet of vehicles. Instead of developing individual models (based on the track history of each unit) or developing a global model (based on the collective track history of the fleet), we propose local fuzzy models based on clusters of peers, similar units with comparable utilization and performance. For each cluster of peers we create a local fuzzy model. We combine the fuzzy peer-based approach for performance modeling with an evolutionary framework for model maintenance. Our process generates a collection of competing models, evaluates their performance in light of the currently available data, refines the best models using evolutionary search, and selects the best one after a finite number of iterations. This process is repeated periodically to automatically produce updated and improved versions of the model.

To illustrate this methodology we chose an asset selection problem: given a fleet of industrial vehicles (diesel electric locomotives), we want to select the best subset (of fixed or variable size) for mission-critical utilization. To this end, we predict the remaining life for each unit in the fleet. We then sort the fleet using this prediction and select the highest ranked units. The model chosen to perform this prediction/selection task is a fuzzy instance based model. A series of experiments using data from locomotive operations were conducted and the results from an initial validation exercise are presented.

The approach of constructing local predictive models using fuzzy similarity with neighboring points along appropriate dimensions is not specific to any asset type, but it applies to many other Prognostics and Health Management (PHM) problems.

Tags: ames, dashlink, nasa
Organization: National Aeronautics and Space Administration
TROPICS07 L2B Deep Multispectral INtensity (DMIN) of Tropical Cyclones Estimator Algorithm V0.2

The "Time-Resolved Observations of Precipitation structure and storm Intensity with a Constellation of Smallsats" (TROPICS) mission has a goal of providing nearly all-weather observations of three-dimensional temperature and humidity, as well as cloud ice and precipitation horizontal structure, at high temporal resolution to conduct high-value science investigations of tropical cyclones. The mission comprises a constellation of five identical Space Vehicles (SVs) conforming to the 3U form factor and hosting a passive microwave spectrometer payload.

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

The Deep Multispectral INtensity of TCs estimator with 183 GHz brightness temperatures (D-MINT183), developed at the University of Wisconsin/CIMSS, estimates two primary TC variables: Minimum Sea Level Pressure (MSLP) and Maximum Sustained Winds (MSW). D-MINT183 is a convolutional neural network (CNN) with no inherent physical understanding of TC intensity relationships, which is an approach that differs from the other two TROPICS TC Intensity algorithm (i.e., TCIE and HISA). D-MINT183 is trained using combinations of 183±1 and 183±3 GHz imagery from SSMIS, ATMS, MHS, and AMSU-B, as well as 15 hours of infrared imagery (in 3-h increments) and scalar predictors. TROPICS has 184.41 GHz and 186.51 GHz imagery, which is used as a proxy for the 183±1 GHz and 183±3 GHz imagery. D-MINT183 produces a probabilistic distribution of intensities for a given TC for 15 different quantiles. The D-MINT183 single-value intensity is the average of the 30th to 70th quantiles, as that was found to be more accurate than the 50th quantile.

Tags: atmosphere, earth-science, weather-events
Organization: National Aeronautics and Space Administration
Standardizing Research Methods for Prognostics

Prognostics and health management (PHM) is a maturing system engineering discipline. As with most maturing disciplines, PHM does not yet have a universally accepted research methodology. As a result, most component life estimation efforts are based on ad-hoc experimental methods that lack statistical rigor. In this paper, we provide a critical review of current research methods in PHM and contrast these methods with standard research approaches in a more established discipline (medicine). We summarize the developmental steps required for PHM to reach full maturity and to generate actionable results with true business impact.

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