AndreaBozzo/ceres-open-data-index huggingface dataset:
Ground-Based Doppler Orbitography and Radiopositioning Integrated by Satellite (DORIS) Earth Orientation Parameters Time Series Product from NASA CDDIS

Doppler Orbitography and Radiopositioning Integrated by Satellite (DORIS) Earth Orientation Parameters Time Series Product from the NASA Crustal Dynamics Data Information System (CDDIS). DORIS is a dual-frequency Doppler system consisting of a receiver flying aboard a satellite and a globally distributed network of ground beacons. The DORIS receiver on-board the orbiting satellite tracks the dual-frequency radio signals transmitted by the network of ground beacons and generates the DORIS data. A measurement is made of either the Doppler shift or absolute phase as the satellite’s orbit moves over the ground-based beacon. DORIS data records contain a time-tagged range-rate measurement with associated ancillary information. DORIS observations from a global network can be utilized for a variety of products. Analysis Centers (ACs) of the International DORIS Service (IDS) retrieve DORIS data on a regular basis to compute various DORIS products from data generated by the DORIS beacons supporting the IDS network, including the time series of Earth orientation parameters (EOPs). The IDS Analysis Center Coordinator combines these solutions to produce an official IDS EOP product. The EOP time series are available in text format.

Tags: earth-science, geodetics, gravity-gravitational-field, solid-earth, tectonics
Organization: National Aeronautics and Space Administration
LANDSAT SURFACE REFLECTANCE -L7 ETM+

Landsat satellite data have been produced, archived, and distributed by the U.S. Geological Survey (USGS) since 1972.  Users rely on these data for historical study of land surface change but shoulder the burden of post-production processing to create applications-ready data sets.

Tags: atmosphere, atmospheric-radiation, clouds, cryosphere, earth-science, land-surface, ocean-heat-budget, ocean-optics, oceans, sea-ice, surface-radiative-properties
Organization: National Aeronautics and Space Administration
ARC Code TI: Block-GP: Scalable Gaussian Process Regression

Block GP is a Gaussian Process regression framework for multimodal data, that can be an order of magnitude more scalable than existing state-of-the-art nonlinear regression algorithms. The framework builds local Gaussian Processes on semantically meaningful partitions of the data and provides higher prediction accuracy than a single global model with very high confidence.

Tags: algorithm, block-gp, code-ti, data, gaussian, multimodal, regression, scalable
Organization: National Aeronautics and Space Administration
UARS Wind Imaging Interferometer (WINDII) Level 3AL V011 (UARWI3AL) at GES DISC

The Wind Imaging Interferometer (WINDII) Level 3AL data product consists of daily, 4 degree increment latitude-ordered vertical profiles of meridional and zonal wind components, and temperature. The instrument was a Michelson interferometer designed to measure Doppler shifts of spectral lines in the visible between 550 and 780 nm. WINDII was flown on NASA's Upper Atmosphere Research Satellite (UARS) and designed to measure wind, temperature and emission rates in the mesosphere and thermosphere between 80 and 300 km at about 5 km resolution. Data were collected between latitude 40S and 72N and 72S and 40N, alternating each satellite yaw cycle of about 36 days. The WINDII Level 3AL data were processed with the version 11 algorithm.

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

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

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

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

Tags: atmosphere, atmospheric-temperature, atmospheric-winds, earth-science
Organization: National Aeronautics and Space Administration
ALOS-2 PALSAR-2 Level 1 ScanSAR Product

The Advanced Land Observing Satellite-2 (ALOS-2), launched May 14, 2014, is a follow-on mission to ALOS. ALOS-2 features an imaging microwave radar, PALSAR-2 (Phased Array type L-band Synthetic Aperture Radar-2). With a wider range of observation modes PALSAR-2 improves on its predecessor PALSAR (which flew onboard ALOS). PALSAR-2 observes in the L-band, specifically 1257.5 MHz which is adjustable by ± 21 MHz. ScanSAR mode provides a spatial resolution of 60 m and 100 m for a swath of 490 km and 350 km respectively. Stripmap mode provides a resolution of 10 m, 6 m, and 3 m for a swath of 70 km, 70 km, and 50 km respectively. Spotlight mode provides a resolution of 1 m x 3 m for a swath of 25 km x 25 km. ALOS-2 also decreased the revisit time of its predecessor from 46 days to 14 days. ALOS-2 also has the ability to look either to the right or the left.

This collection provides open access to ScanSAR mode data acquired by ALOS-2. Recently acquired data are not included but are added when released for open access by JAXA. Although the ScanSAR mode has been acquired globally, the collection currently contains only partial global coverage, but coverage is increasing as data become available. 

Products have been processed by JAXA as Level 1.1, such that range and single look azimuth compressed data is represented by complex I and Q channels to preserve the magnitude and phase information. The range coordinate is in slant range. The image is focused onto zero Doppler direction, and an image file is generated per each scan for ScanSAR mode. In addition the full aperture processing method was used to generate the products. With the full aperture method, range compression and one look azimuth compression are performed for the data whose gaps between neighboring bursts in a sub swath are filled with zeroes, this processing is performed for each scan and each polarization. Granules in this collection are distributed as a zip and are quite large, with the majority being 28GB (single polarization) or 56GB (dual polarization).

Tags: biosphere, cryosphere, earth-science, ecosystems, geomorphic-landforms-processes, land-surface, sea-ice, solid-earth, tectonics
Organization: National Aeronautics and Space Administration
HIRENASD NLR grid

Structured multiblock grid of HIRENASD wing with medium grid density, about 10 mill grid points, 9.5 mill cells.
Starting from coarse AIAA AEPW structured grid, heavily modified for:
- Improved boundary-layer resolution at the wing-body junction.
- Possibility of defining multigrid levels (4 levels).
- Improved topology suitable for in-house computers.

Tags: ames, dashlink, nasa
Organization: National Aeronautics and Space Administration
AMSR-E/AMSR2 Unified L3 Global Daily Ascending/Descending .25x.25 deg Ocean Grids V001

The AMSR-E/AMSR2 Unified L3 Global Daily Ascending/Descending .25 x .25 deg Ocean Grids
data set (AU_DyOcn) reports daily estimates of water vapor, cloud liquid water content, and
surface wind speed over the ocean on a global 0.25° × 0.25° resolution grid. The data are derived from the AMSR-E/AMSR2 Unified L2B Global Swath Ocean Products, Version 1 data set.

Sea surface temperatures from the NOAA 1/4° Daily Optimum Interpolation Sea Surface Temperature (OISST) product are also included.

Tags: atmosphere, clouds, earth-science, ocean-temperature, ocean-winds, oceans, precipitation
Organization: National Aeronautics and Space Administration
Soil Moisture Active Passive (SMAP) L1-L3 Ancillary Static Data V001

This ancillary SMAP product contains more than 50 data sets. These data sets contain the inputs necessary to create SMAP products from raw instrument counts, such as permanent masks (land, water, forest, urban, mountain, etc.), the grid cell average elevation and slope derived from a Digital Elevation Model (DEM), permanent open water fraction, soils information (primarily sand and clay fraction), vegetation parameters, and surface roughness parameters.

Tags: earth-science, land-surface, land-use-land-cover, soils, topography
Organization: National Aeronautics and Space Administration
Unmanned Aircraft Systems Integration in the National Airspace System Project

&lt;p&gt;There is an increasing need to fly Unmanned Aircraft Systems (UAS) in the National Airspace System (NAS) to perform missions of vital importance to national security and defense, emergency management, science, and to enable commercial applications. However, routine access by UAS to the NAS remains unrealized.&amp;nbsp;&lt;br /&gt;&lt;br /&gt;The UAS community needs routine access to the global airspace for all classes of UAS. Based on this need, NASA&amp;#39;s UAS Integration in the NAS Project identified the following goal: To provide research findings to reduce technical barriers associated with integrating UAS into the NAS utilizing integrated system level tests in a relevant environment. These barriers include: a lack of sense-and-avoid concepts and technologies that can operate within the NAS, robust communication technologies, robust human systems integration, and a relevant environment for use in testing the developed technologies.&lt;br /&gt;&lt;br /&gt;The project&amp;#39;s goal will be accomplished by developing system-level integration of key concepts, technologies and/or procedures, as well as demonstrating those integrated capabilities in an operationally relevant environment.&amp;nbsp;&lt;br /&gt;&lt;br /&gt;The project conducts research to address technical&amp;nbsp;barriers in the following areas:&lt;/p&gt;&lt;ul&gt;&lt;li&gt;Sense and Avoid (SAA) [synonymous with Detect and Avoid (DAA)] Performance Standards: Provide research findings to develop and validate UAS Minimum Operational Performance Standards (MOPS) for SAA performance and interoperability.&lt;/li&gt;&lt;li&gt;Command and Control (C2) Performance Standards: Provide research findings to develop and validate UAS MOPS for terrestrial C2 communication.&lt;/li&gt;&lt;li&gt;Human Systems Integration (HSI): Provide research findings to develop and validate HSI ground control station (GCS) guidelines enabling implementation of the SAA and C2 performance standards.&lt;/li&gt;&lt;li&gt;Integrated Test and Evaluation (IT&amp;amp;E): Develop a relevant test environment that is a live virtual constructive (LVC) distributed environment (DE), for use in generating research findings to develop and validate HSI guidelines, DAA, and C2 MOPS with test scenarios supporting integration of UAS into the NAS.&lt;/li&gt;&lt;/ul&gt;&lt;p&gt;These activities support research within the aeronautics strategic thrust area 6.&amp;nbsp;&lt;/p&gt;

Tags: active, armstrong-flight-research-center, project, uas-nas
Organization: National Aeronautics and Space Administration
AMSR-E L2 Rainfall Subset, collocated with CloudSat track V002 (AMSERR_CPR) at GES DISC

This is a subset of AMSR-E rain rate product along CloudSat field of view track. The goal of the subset is to select and return AMSR-E data that are within  -100 km across the CloudSat track. Thus resultant subset swath is 45 pixels cross-track. Apart from that, all efforts are made to preserve the original HDF-EOS formatting of the source full-sized data.
      
      The Advanced Microwave Scanning Radiometer - Earth Observing System (AMSR-E) instrument on the NASA EOS Aqua satellite provides global passive microwave measurements of terrestrial, oceanic, and atmospheric variables for the investigation of water and energy cycles.
      
      The original, full-sized, product is Level-2B swath product (AE_Rain), and it  contains instantaneous measurements of rain rate and rain type (convective vs. stratiform), generated from Level-2A brightness temperatures (AE_L2A). The Goddard Space Flight Center (GSFC) Profiling algorithm determines rain rate and type over ocean areas, and a Modified GSFC Profiling algorithm over land. Data are stored in HDF-EOS (HDF4) format, and are available from 18 June 2002 until the AMSR-E instrument was turned off due to antenna problems in October 2011.

Tags: atmosphere, earth-science, precipitation
Organization: National Aeronautics and Space Administration
Identification of Spatial Fault Patterns in Semiconductor Wafers

Abstract

The semiconductor industry is constantly searching for new ways to increase the rate of both process development and yield learning.  As more data is being collected and stored throughout the chip manufacturing process, it has become increasingly more difficult to analyze yield signals using traditional statistical methods.  Most of the serious yield issues manifest themselves as non-random electrical failure maps. Our semi-supervised fault
detection framework has elements of Spatial Signature Analysis (SSA) to capture yield signals for very large datasets without losing the critical details typically involved with summarization techniques.  It includes signature detection, de-noising, clustering, and purification that allow one to create a true spatial response metric of the yield issue. Once this has been accomplished, one can load process data to join with the spatial
response and invoke customized rule induction algorithms that generate a set of hypotheses - likely process causes for a specific spatial target response.  The framework has been successfully used at Intel and represents an example of the growing influence of modern statistical learning in the semiconductor industry.

 

**Speaker:**

**Dr. Eugene Tuv, Intel**

Dr. Eugene Tuv is a Senior Staff Research Scientist in the Logic Technology Department at Intel. His research interests include supervised and unsupervised non-parametric machine learning with massive heterogeneous data. Prior to Intel he worked as a research scientist in the Institute of Nuclear Research, Ukrainian Academy of Science. He holds postgraduate degrees in Mathematics and Applied Statistics.

Tags: ames, dashlink, nasa
Organization: National Aeronautics and Space Administration
SAGE III Meteor-3M L2 Lunar Event Species Profiles (HDF-EOS) V004

A Level 2 data file containing all the species products for a single lunar event

Tags: atmosphere, atmospheric-chemistry, atmospheric-chemistry-halons-and-halogens, atmospheric-chemistry-nitrogen-compounds, atmospheric-chemistry-oxygen-compounds, atmospheric-water-vapor, earth-science
Organization: National Aeronautics and Space Administration
SatCORPS CERES GEO Edition 4 Meteosat-9 Northern Hemisphere Version 1.0

CER_GEO_Ed4_MET09_NH_V01 is the Satellite Cloud and Radiation Property retrieval System (SatCORPS) Clouds and the Earth's Radiant Energy System (CERES) Geostationary Satellite (GEO) Edition 4 Meteosat-9 over the Northern Hemisphere (NH) Version 1.0 data product. Data was collected using the Spinning Enhanced Visible and Infrared Imager (SEVIRI) Instrument on the Meteosat-9 platform. Data collection for this product is complete. 

This data set comprises cloud micro-physical and radiation properties derived hourly from Meteosat-9 geostationary satellite imager data using the Langley Research Center (LaRC) SATCORPS algorithms supporting the CERES project. Each active geostationary satellite's cloud micro-physical and radiation properties are merged to create hourly global cloud properties that estimate fluxes between CERES instrument measurements to account for the changing diurnal cycle. The data set is arranged as files for each hour and in netCDF-4 format. The observations are at 4 km resolution (at nadir) and are sub-sampled to 8 km.

CERES is a key Earth Observing System (EOS) program component. The CERES instruments provide radiometric measurements of the Earth's atmosphere from three broadband channels. The CERES missions follow the successful Earth Radiation Budget Experiment (ERBE) mission. The first CERES instrument, the protoflight model (PFM), was launched on November 27, 1997, as part of the Tropical Rainfall Measuring Mission (TRMM). Two CERES instruments (FM1 and FM2) were launched into polar orbit on board the Earth Observing System (EOS) flagship Terra on December 18, 1999. Two additional CERES instruments (FM3 and FM4) were launched on board Earth Observing System (EOS) Aqua on May 4, 2002. The CERES FM5 instrument was launched on board the Suomi National Polar-orbiting Partnership (NPP) satellite on October 28, 2011. The newest CERES instrument (FM6) was launched on board the Joint Polar-Orbiting Satellite System 1 (JPSS-1) satellite, now called NOAA-20, on November 18, 2017.

Tags: atmosphere, clouds, earth-science
Organization: National Aeronautics and Space Administration
LIMS/Nimbus-7 Level 1 Radiance Data V001 (LIMSN7L1RAT) at GES DISC

LIMSN7L1RAT is the Nimbus-7 Limb Infrared Monitor of the Stratosphere (LIMS) Level-1 Radiance Data product. It contains calibrated, earth-located radiances, as well as housekeeping information, instrument status, and data quality information. Radiances of the Earth limb were measured both day and night in six spectral bands (6.2, 6.3, 9.6, 11.3, and two at 15 micrometers). Though calibrated, the radiances are not corrected for instrument effects such as field-of-view, electronic delay, and spacecraft motion.

Each file contains one orbit 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
Gazetteer of Planetary Nomenclature: Venus: 1:10 million-scale Altimetry Quadrangles: Niobe

This set of maps diplays altimetric radar images of Venus approved by the International Astronomical Union (IAU).

Tags: altimetry, imagery, images, planets, quadrangles, radar, usgs, venus, working-group-for-planetary-system-nomenclature
Organization: National Aeronautics and Space Administration
VIIRS/JPSS1 Snow Cover 6-Min L2 Swath 375m V002

This data set reports the location of snow cover using radiance data acquired by the Visible Infrared Imager Radiometer Suite (VIIRS) on board the Joint Polar Satellite System's first satellite (JPSS-1). 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
ACES LOG DATA V1

The ALTUS Cloud Electrification Study (ACES) was based at the Naval Air Facility Key West in Florida. During August 2002, ACES researchers conducted 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 log data from each flight, and yields instrument and aircraft status throughout the flight.

Tags: earth-science, platform-characteristics, spectral-engineering
Organization: National Aeronautics and Space Administration
A Discussion on Uncertainty Representation and Interpretation in Model-based Prognostics Algorithms based on Kalman Filter Estimation Applied to Prognostics of Electronics Components

This article presented a discussion on uncertainty representation and management for model-based prog- nostics methodologies based on the Bayesian tracking framework and specifically for a Kalman filter appli- cation to electronics components. In particular, it explores the implication of modeling remaining useful life prediction as a stochastic process and how it relates to remaining useful life computation by statistical models, to uncertainty representation and management, and to the role of prognostics in decision-making. A discussion on how uncertainty propagates from the health state estimation process through the health state forecasting process is provided. Remaining useful life computation steps under uncertainty are pre- sented and analytical results on uncertainty quantification are provided under a simplified scenario. A proper propagation of uncertainty through the RUL prediction step as well as its correct interpretation are key to developing decision-making methodologies that make use of the remaining useful life prediction estimates and their corresponding uncertainties in order to make actionable choices that will optimize reliability, operations or safety in view of the prognostics information.

Tags: ames, dashlink, nasa
Organization: National Aeronautics and Space Administration
Polar Ozone and Aerosol Measurement II Version 6

POAM2_VER6 data are Polar Ozone and Aerosol Measurement II Version 6.0 data. The Polar Ozone and Aerosol Measurement (POAM) II instrument measures the vertical distribution of atmospheric ozone, nitrogen dioxide, and aerosol extinction. The instrument was developed by the Naval Research Laboratory (NRL).POAM II measures solar extinction in nine narrow band channels, covering the spectral range from approximately 350 to 1060 nm. Solar extinction by the atmosphere is measured using the solar occultation technique; the sun is observed through the Earth's atmosphere as it rises and sets as viewed from the satellite.POAM II was launched aboard the French SPOT-3 satellite on 26 September, 1993 into a Sun synchronous polar orbit. As seen from the satellite, the Sun rises in the north polar region and sets in the south polar region 14.2 times per day. Sunrise measurements are made in a latitude band from 55-71 degrees north while sunsets occur between 63-88 degrees south. The POAM II mission was interrupted by the failure of the SPOT-3 satellite in November of 1996.Each data granule contains one month of data for a particular hemisphere, taken at approximately 101 minute intervals. The latitudinal extent of data for the northern hemisphere is 54.68 to 71.01 and -62.55 to -88.11 for the southern hemisphere. The longitude ranges from 0 to 360. Several images in 'gif' format are also available. The images represent daily average ozone (altitude .vs. time) for the northern and southern hemispheres, daily average aerosol extinction for the southern hemisphere and latitudinal limits of data samples are also provided. The data consists of profiles of ozone and nitrogen dioxide (NO2) concentration and aerosol extinction at 1.06um.

Tags: aerosols, atmosphere, atmospheric-chemistry, atmospheric-pressure, atmospheric-temperature, atmospheric-winds, earth-science
Organization: National Aeronautics and Space Administration
NEW RSW & Wall Medium Mixed Element Grid

RSW Medium Mixed Element Grid with Viscous Wind Tunnel Wall at the root. This grid is for a node-based unstructured solver.

Quad Surface Faces=     18432
Tria Surface Faces=    216952
Nodes             =   8110917
Total Elements    =  21779887
Hex Elements      =         0
Pent_5 Elements   =     39232
Pent_6 Elements   =  13196220
Tet Elements      =   8544435
BL Tet Elements   =     38412

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