AndreaBozzo/ceres-open-data-index huggingface dataset:
Integrated fatigue damage diagnosis and prognosis under uncertainties

An integrated fatigue damage diagnosis and prognosis framework is proposed in this paper. The proposed methodology integrates a Lamb wave-based damage detection technique and a Bayesian updating method for remaining useful life (RUL) prediction. First, a piezoelectric sensor network is used to detect the fatigue crack size near the rivet holes in fuselage lap joints. Advanced signal processing and feature fusion is then used to quantitatively estimate the crack size. Following this, a small time scale model is introduced and used as the mechanism model to predict the crack propagation for a given future loading and an estimate of initial crack length. Next, a Bayesian updating algorithm is implemented incorporating the damage diagnostic result for the fatigue crack growth prediction. Probability distributions of model parameters and final RUL are updated considering various uncertainties in the damage prognosis process. Finally, the proposed methodology is demonstrated using data from fatigue testing of realistic fuselage lap joints and the model predictions are validated using prognostics metrics.

Tags: ames, dashlink, nasa
Organization: National Aeronautics and Space Administration
Dissolved inorganic carbon (DIC), total alkalinity, pH on total scale, discrete pCO2, chlorofluorocarbons (CFC11, CFC12), dissolved organic carbon (DOC), water temperature, salinity, dissolved oxygen, nutrients and other hydrographic and chemical variables collected from discrete samples and profile observations during the R/V Thomas G. Thompson cruise on GO-SHIP repeat section A22 (EXPOCODE 325020210420) in the North Atlantic Ocean from 2021-04-20 to 2021-05-16 (NCEI Accession 0259287)

This dataset includes discrete profile measurements of Dissolved inorganic carbon (DIC), total alkalinity, pH on total scale, discrete pCO2, chlorofluorocarbons (CFC11, CFC12), dissolved organic carbon (DOC), water temperature, salinity, dissolved oxygen, nutrients and other hydrographic and chemical variables collected from discrete samples and profile observations during the R/V Thomas G. Thompson cruise on GO-SHIP repeat section A22 (EXPOCODE 325020210420) in the North Atlantic Ocean from 2021-04-20 to 2021-05-16. GO-SHIP repeat transoceanic surveys (www.goship.org) provide full water column hydrographic observations with temporal and spatial resolutions adequate to resolve decadal variability in oceanic storage of heat, freshwater, carbon, oxygen, nutrients and transient tracers. Repeat hydrographic physical-biogeochemical measurements nominally along 52Â° 20âN in the North Atlantic Ocean enables scientists to better tackle important unresolved aspects of the Atlantic Oceanâs response to decadal scale variability and increases in both heat and carbon dioxide as a result of anthropogenic activities. The A22 2021 cruise aboard the UNOLS vessel R/V Thomas G. Thompson was undertaken as part of the US GO-SHIP (Global Ocean Ship-based Hydrographic Investigations Program), a major contributor to international GO-SHIP. The programâs overall objective is to collect quasi-decadal, highly accurate, surface-to-bottom, coast-to-coast, physical, and chemical oceanic observations. These measurements are essential to monitoring long-term changes in heat, freshwater, carbon, oxygen, and other tracers in the global ocean, the main reservoir in the Earth System.

Tags: 325020210420, alkali, cfc11, cfc12, ctdsal, ctdtmp, discrete measurement, doc, fco2, go-ship a22, nitrat, nitrit, north atlantic ocean, ocean carbon and acidification data system (ocads) project, oceanography, oxygen, ph_tot, phspht, profile, silcat, tcarbn, the global ocean ship-based hydrographic investigations program (go-ship), tn390
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
Amazon Web Services: Downscaled Climate Projections (NEX-DCP30)

The NASA Earth Exchange (NEX) Downscaled Climate Projections (NEX-DCP30) dataset is comprised of downscaled climate scenarios for the conterminous United States 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 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 includes downscaled projections from 33 models, as well as ensemble statistics calculated for each RCP from all model runs available. The purpose of these datasets is to provide a set of high resolution, bias-corrected climate change projections that can be used to evaluate climate change impacts on processes that are sensitive to finer-scale climate gradients and the effects of local topography on climate conditions. Each of the climate projections includes monthly averaged maximum temperature, minimum temperature, and precipitation for the periods from 1950 through 2005 (Retrospective Run) and from 2006 to 2099 (Prospective Run).

Tags: amazon-web-services, aws, climate, earth-science
Organization: National Aeronautics and Space Administration
AMSR-E/AMSR2 Unified L3 Global Monthly Ascending/Descending .25x.25 deg Ocean Grids V001

The AMSR-E/AMSR2 Unified L3 Global Monthly Ascending/Descending .25x.25 deg Ocean Grids data set is a gridded product that reports monthly estimates of water vapor, cloud liquid water content, and surface wind speed over the ocean. The data are derived from resampled Near Real-Time (NRT) Level-1R data provided by Japan Aerospace Exploration Agency (JAXA).

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
A Local Asynchronous Distributed Privacy Preserving Feature Selection Algorithm for Large Peer-to-Peer Networks

In this paper we develop a local distributed privacy preserving algorithm for feature selection in a large peer-to-peer environment. Feature selection is often used in machine learning for data compaction and efficient learning by eliminating the curse of dimensionality. There exist many solutions for feature selection when the data is located at a central location. However, it becomes extremely challenging to perform the same when the data is distributed across a large number of peers or machines. Centralizing the entire dataset or portions of it can be very costly and impractical because of the large number of data sources, the asynchronous nature of the peer-to-peer networks,
dynamic nature of the data/network and privacy concerns. The solution proposed in this paper allows us to perform feature selection in an asynchronous fashion with a low communication overhead where each peer can specify its own privacy constraints. The algorithm works based on local interactions among participating nodes. We present results on real-world datasets in order to performance of the proposed algorithm.

Tags: ames, dashlink, nasa
Organization: National Aeronautics and Space Administration
MODIS/Aqua Sea Ice Extent and IST Daily L3 Global 4km EASE-Grid Day V061

This global Level-3 (L3) data set provides Northern and Southern Hemisphere maps of sea ice extent and ice surface temperature. The maps are generated by compositing 1 km observations from the 'MODIS/Aqua Sea Ice Extent Daily L3 Global 1km EASE-Grid Day’ (https://doi.org/10.5067/MODIS/MYD29P1D.061) product. These data are provided daily in the EASE-Grid polar projection at a resolution of approximately 4 km.

The terms "Version 61" and "Collection 6.1" are used interchangeably in reference to this release of MODIS data.

Tags: cryosphere, earth-science, national-geospatial-data-asset, ngda, sea-ice
Organization: National Aeronautics and Space Administration
THIR/Nimbus-4 Level 1 Meteorological Radiation Data at 11.5 microns V001 (THIRN4L1CH115) at GES DISC

THIRN4L1CH115 is the Nimbus-4 Temperature-Humidity Infrared Radiometer (THIR) Level 1 Meteorological Radiation Data at 11.5 microns product and contains radiances expressed in units of equivalent brightness temperature measured in the 10.5 - 12.5 (11.5) micron channel. The data, originally written on IBM 360 machines, were recovered from magnetic tapes, also referred to as Nimbus Meteorological Radiation Tapes (NMRT-THIR). The data are archived in their original IBM 36-bit word proprietary format, also referred to as a binary TAP file.

The Nimbus-4 satellite was successfully launched on December 11, 1972. The THIR experiment on Nimbus-4 replaced the measurements made by the HRIR and MRIR instruments flown on previous Nimbus satellites. The THIR instrument is a two channel high resolution scanning radiometer designed to perform two major functions:* The 11.5 micron channel provides both day and night cloud top or surface temperatures. The ground resolution at the sub-point is 8 km and operates day and night.* The 6.7 micron channel gives information on the moisture content of the upper troposphere and stratosphere and the location of jet streams and frontal systems. The water vapor channel has a resolution of the sub-point is 22 km and operates mostly at night.

The THIR Principal Investigator was Andrew W. McCulloch from NASA Goddard Space Flight Center. The Nimbus-4 THIR data are available from April 13, 1970 (day of year 103) through April 1, 1971 (day of year 91). The THIRN4L1CH67 product contains the 6.7 micron channel data.

This product was previously available from the NSSDC with the identifier ESAD-00004 (old ID 70-025A-02D).

Tags: earth-science, infrared-wavelengths, spectral-engineering
Organization: National Aeronautics and Space Administration
Discrete profile measurements of dissolved inorganic carbon (DIC), total alkalinity, pH on total scale, water temperature, salinity, dissolved oxygen concentration, nutrients and other chemical and hydrographic parameters obtained during the R/V RamÃ³n Margalef RADPROF 2021 cruise (EXPOCODE 29RM20210814) in the North East Atlantic Ocean from 2021-08-14 to 2021-08-23 (NCEI Accession 0291176)

This dataset contains discrete profile measurements of dissolved inorganic carbon (DIC), total alkalinity, pH on total scale, water temperature, salinity, dissolved oxygen concentration, nutrients and other chemical and hydrographic parameters obtained during the R/V RamÃ³n Margalef RADPROF 2021 cruise (EXPOCODE 29RM20210814) in the North East Atlantic Ocean from 2021-08-14 to 2021-08-23. The RADPROF project is an annual routine monitoring activity associated with the Finisterre deep section, RADPROF, which contributes to the IEO oceanography observation system, IEOOS since 2003. RADPROF contributes to time series of hydrography, circulation, inorganic biogeochemistry and biology in the slope region of the Galicia-Cantabrian region, passing through the protected area of the Bank of Galicia since 2014. The time series began in 2003 with the VACLAN National Plan project, continued by COVACLAN (2005) and later integrated as a structural program of the IEO under the pseudonym RADPROF. The basic activity is reinforced and expanded thanks to competitive projects of the National Plan such as MODUPLAN (2014), or Interreg EU iFADO (2020), complementary sampling activities using gliders (FinisGlider). Currently RADPROF is basic in Chapter 6 of the Marine Strategy Framework Directive, as it also would be for the Ocean Acidification and Prevailing Conditions chapter. From 2024 to 2026 it will contribute to the EuroGOSHIP project in support of the improvement of European hydrography. RADPROF is recognized as a GO-SHIP Associated line due to the high density and quality of its thermohaline, circulation and inorganic biogeochemistry data, especially CO2 variables.

Tags: 29rm20210814, alkali, discrete measurement, go-ship, go-ship radprof_2021, nitrate, north east atlantic, ocean carbon and acidification data system (ocads) project, oceanography, oxygen, phspht, phts25p0, profile, radprof, silcat, tcarbn
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
GLAS/ICESat L1B Global Waveform-based Range Corrections Data (HDF5) V034

GLAH05 Level-1B waveform parameterization data include output parameters from the waveform characterization procedure and other parameters required to calculate surface slope and relief characteristics. GLAH05 contains parameterizations of both the transmitted and received pulses and other characteristics from which elevation and footprint-scale roughness and slope are calculated. The received pulse characterization uses two implementations of the retracking algorithms: one tuned for ice sheets, called the standard parameterization, used to calculate surface elevation for ice sheets, oceans, and sea ice; and another for land (the alternative parameterization).  Each data granule has an associated browse product.

Tags: cryosphere, earth-science, glaciers-ice-sheets, land-surface, topography
Organization: National Aeronautics and Space Administration
OCO-2 Level 1B calibrated, geolocated calibration spectra V11.2 (OCO2_L1B_Calibration) at GES DISC

Version 11.2 is the current version of the data set. Older versions will no longer be available and are superseded by Version 11.2.

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.

Tags: atmosphere, atmospheric-chemistry, earth-science, infrared-wavelengths, spectral-engineering
Organization: National Aeronautics and Space Administration
MODIS/Terra Snow Cover 8-Day L3 Global 0.05Deg CMG V061

This global level-3 (L3) data set provides the maximum percentage of snow-covered land and persistent cloud-covered land observed over eight-days, within 0.05° (approx. 5 km) MODIS climate modeling grid (CMG) cells. Percentages are computed from snow cover observations in the 'MODIS/Terra Snow Cover 8-Day L3 Global 500m SIN Grid' data set (DOI:10.5067/MODIS/MOD10A2.061).

The terms "Version 61" and "Collection 6.1" are used interchangeably in reference to this release of MODIS data.

Tags: cryosphere, earth-science, national-geospatial-data-asset, ngda, snow-ice
Organization: National Aeronautics and Space Administration
High Mountain Asia 4-km Dynamically Downscaled Meteorological Data, 2000-2015 V001

This High Mountain Asia (HMA) data set contains simulated meteorological data for the Indus Basin from 2000 through 2015, at three horizontal resolutions – 36 km, 12 km, and 4 km – and 9 pressure levels spanning 1000 hPa – 200 hPa. The data were produced by using the Advanced Research Weather Research & Forecasting (ARW-WRF) model to dynamically downscale Climate Forecast System Reanalysis (CFSR) data into three nested domains with increasing horizontal resolution.

Tags: atmosphere, atmospheric-temperature, earth-science, precipitation
Organization: National Aeronautics and Space Administration
General Purpose Data-Driven System Monitoring for Space Operations

Modern space propulsion and exploration system designs are becoming increasingly
sophisticated and complex. Determining the health state of these systems using traditional methods is becoming more difficult as the number of sensors and component interactions grows. Data-driven monitoring techniques have been developed to address these issues by
analyzing system operations data to automatically characterize normal system behavior. The Inductive Monitoring System is a data-driven system health monitoring software tool that has been successfully applied to several aerospace applications. Inductive Monitoring System uses a data mining technique called clustering to analyze archived system data and characterize
normal interactions between parameters. This characterization, or model, of nominal operation is stored in a knowledge base that can be used for real-time system monitoring or
for analysis of archived events. Ongoing and developing Inductive Monitoring System space operations applications include International Space Station flight control, spacecraft vehicle
system health management, launch vehicle ground operations, and fleet supportability. As a common thread of discussion this paper will employ the evolution of the Inductive Monitoring
System data-driven technique as related to several Integrated Systems Health Management elements. Thematically, the projects listed will be used as case studies. The maturation of Inductive Monitoring System via projects where it has been deployed or is currently being
integrated to aid in fault detection will be described. The paper will also explain how Inductive Monitoring System can be used to complement a suite of other Integrated System Health Management tools, providing initial fault detection support for diagnosis and recovery.

Tags: ames, dashlink, nasa
Organization: National Aeronautics and Space Administration
AMSR-E/AMSR2 Unified L3 Global Daily 25 km EASE-Grid Snow Water Equivalent V001

This AMSR-E/AMSR2 Unified Level-3 (L3) data set provides daily estimates of Snow Water Equivalent (SWE). SWE was derived from brightness temperature measurements acquired by the Advanced Microwave Scanning Radiometer 2 (AMSR2) instrument on board the JAXA GCOM-W1 satellite. 

The SWE data is rendered to an azimuthal 25 km Equal-Area Scalable Earth Grid (EASE-Grid) for both the Northern and Southern Hemisphere.

Note: This data set uses JAXA AMSR2 Level-1R (L1R) input brightness temperatures that are calibrated, or unified, across the JAXA AMSR-E and JAXA AMSR2 L1R products.

Tags: cryosphere, earth-science, snow-ice, terrestrial-hydrosphere
Organization: National Aeronautics and Space Administration
SENTINEL-1A_SLC

Sentinel-1A slant-range product

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

PALSAR_Radiometric_Terrain_Corrected_low_res

Tags: agriculture, biosphere, coastal-processes, cryosphere, earth-science, erosion-sedimentation, forest-science, frozen-ground, geomorphic-landforms-processes, glaciers-ice-sheets, land-surface, land-use-land-cover, landscape, ocean-waves, ocean-winds, oceans, sea-ice, snow-ice, solid-earth, surface-water, tectonics, terrestrial-ecosystems, terrestrial-hydrosphere, topography
Organization: National Aeronautics and Space Administration
AIRS/Aqua L2 Near Real Time (NRT) Cloud-Cleared Infrared Radiances (AIRS-only) V006 (AIRS2CCF_NRT) at GES DISC

The Atmospheric Infrared Sounder (AIRS) Level 2 Near Real Time (NRT) Cloud-Cleared Infrared Radiances (AIRS-only) product (AIRS2CCF_NRT_006) differs from the routine product (AIRS2CCF_006) in four ways to meet the three hour latency requirements of the Land Atmosphere NRT Capability Earth Observing System (LANCE): (1) The NRT granules are produced without previous or subsequent granules if those granules are not available within 5 minutes, (2) the predictive ephemeris/attitude data are used rather than the definitive ephemeris/attitude, (3) if the forecast surface pressure is unavailable, a surface climatology is used, and (4) no ice cloud properties retrievals are performed. The consequences of these differences are described in the AIRS Near Real Time (NRT) data products document. The Atmospheric Infrared Sounder (AIRS) is a grating spectrometer (R = 1200) aboard the second Earth Observing System (EOS) polar-orbiting platform, EOS Aqua. In combination with the Advanced Microwave Sounding Unit (AMSU) and the Humidity Sounder for Brazil (HSB), AIRS constitutes an innovative atmospheric sounding group of visible, infrared, and microwave sensors. This product is produced using AIRS IR only because the radiometric noise in AMSU channel 4 started to increase significantly (since June 2007). Cloud-Cleared Radiances contain calibrated, geolocated channel-by-channel AIRS infrared radiances (milliWatts/m2/cm-1/steradian) that would have been observed within each AMSU footprint if there were no clouds in the FOV and produced along with the AIRS Standard Product, as they are the radiances used to retrieve the Standard Product. Nevertheless, they are an order of magnitude larger in data volume than the remainder of the Standard Products and, many Standard Product users are expected to have little interest in the Cloud Cleared Radiance. For these reasons they are a separate output file. The AIRS2CCF_NRT_006 products are stored in files (often referred to as "granules") that contain 6 minutes of data, 30 footprints across track by 45 lines along track.

Tags: earth-science, infrared-wavelengths, spectral-engineering
Organization: National Aeronautics and Space Administration
LIMS/Nimbus-7 Level 2 Vertical Profiles of O3, NO2, H2O, HNO3, Geopotential Height, and Temperature V006 (LIMSN7L2) at GES DISC

The Limb Infrared Monitor of the Stratosphere (LIMS) version 6 Level-2 data product consists of daily, geolocated, vertical profiles of temperature, geopotential height, and mixing ratios of ozone (O3), nitrogen dioxide (NO2), water vapor (H2O), and nitric acid (HNO3). Version 6 LIMS data have improved spatial resolution in both the vertical and along the orbital track, as well as improved accuracy and precision of measured geophysical parameters.

The data files are in an ASCII text format and each data file is accompanied by three data screening files. The LIMS instrument was launched on the Nimbus-7 satellite and was operational from 25 October 1978 until May 28, 1979.

These data supersede the previous version 5 product, known as the LIMS Inverted Profile Archival Tape (LAIPAT).

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

The Aerosol Robotic Network (AERONET), developed to sustain atmospheric studies at various scales with measurements from worldwide distributed autonomous sun-photometers has  been extended to support marine applications. This new network component called AERONET – Ocean Color (AERONET-OC), provides the additional capability of measuring the radiance emerging from the sea  (i.e., water-leaving radiance) with modified sun-photometers installed on offshore platforms like lighthouses, oceanographic and oil towers. AERONET-OC is instrumental in satellite ocean color validation activities through standardized measurements a) performed at different sites with a single measuring system and protocol, b) calibrated with an identical reference source and method, and c) processed with the same code.

Tags: aerosols, clouds, earth-science, inversions, precipitable-water, radiation, satellite
Organization: National Aeronautics and Space Administration