AndreaBozzo/ceres-open-data-index huggingface dataset:
ATTREX-Aircraft_insitu_Cloud_property_Measurements

ATTREX-Aircraft_insitu_Cloud_property_Measurements are in-situ cloud measurements collected onboard the Global Hawk Unihabited Aerial System (UAS) during the Airborne Tropical TRopopause EXperiment (ATTREX) campaign. This collection consists of in-situ cloud properties collected by the Hawkeye-FCDP (Hawkeye-Fast Cloud Droplet Probe) during the 2011 and 2013 deployments over California, and 2014 deployment over Guam. Data collection is complete.
Even though it is typically found in low concentrations, stratospheric water vapor has large impacts on the Earth’s climate and energy budget. Studies have suggested that even relatively small changes in stratospheric humidity may have significant climate impacts and future changes in stratospheric humidity and ozone concentration in response to a changing climate are significant climate feedback. Tropospheric water vapor climate feedback is typically well represented in global models. However, predictions of future changes in stratospheric humidity are highly uncertain due to gaps in our understanding of physical processes occurring in the region of the atmosphere that controls the composition of the stratosphere, the Tropical Tropopause Layer (TTL, ~13-18 km). The ability to predict future changes in stratospheric ozone are also limited due to uncertainties in the chemical composition of the TTL. In order to address these uncertainties, the Airborne Tropical Tropopause Experiment (ATTREX) was completed. Instruments during ATTREX provided measurements to trace the movement of reactive halogen-containing compounds and other important chemical species, the size and shape of cirrus cloud particles, water vapor, and winds in three dimensions through the TTL. Bromine-containing gases were measured to improve understanding of stratospheric ozone. ATTREX consisted of four NASA Global Hawk Uninhabited Aerial System (UAS) campaigns deployed from NASA’s Armstrong Flight Research Center (formally Dryden Flight Research Center). Campaigns were deployed over Edwards, CA, Guam, Hawaii, and Darwin, Australia in Boreal summer, winter, fall, and summer, respectively.

Tags: atmosphere, clouds, earth-science
Organization: National Aeronautics and Space Administration
Pseudo-Label Generation for Multi-Label Text Classification

With the advent and expansion of social networking, the amount of generated text
data has seen a sharp increase. In order to handle such a huge volume of text data, new and improved text mining techniques are a necessity. One of the characteristics of text data that makes text mining difficult, is multi-labelity. In order to build a robust and effective text classification method which is an integral part of text mining research, we must consider this property more closely. This kind of property is not unique to text data as it can be found in non-text (e.g., numeric) data as well. However, in text data, it is most prevalent. This property also puts the text classification problem in the domain of multi-label classification (MLC), where each instance
is associated with a subset of class-labels instead of a single class, as in conventional classification. In this paper, we explore how the generation of pseudo labels (i.e., combinations of existing class labels) can help us in performing better text classification and under what kind of circumstances. During the classification, the high and sparse dimensionality of text data has also been considered. Although, here we are proposing and evaluating a text classification technique, our main focus is on the handling of the multi-labelity of text data while utilizing the correlation among multiple labels existing in the data set. Our text classification technique is called pseudo-LSC (pseudo-Label Based Subspace Clustering). It is a subspace clustering algorithm that considers the high and sparse dimensionality as well as the correlation among different class labels during the classification process to provide better performance than existing approaches. Results on three real world multi-label data sets provide us insight into how the multi-labelity is handled in our classification process and shows the effectiveness of our approach.

Tags: ames, dashlink, nasa
Organization: National Aeronautics and Space Administration
Qualitative Event-based Diagnosis with Possible Conflicts Applied to Spacecraft Power Distribution Systems

Model-based diagnosis enables efficient and safe operation of engineered systems. In this paper, we describe two algorithms based on a qualitative event-based fault isolation framework augmented with model-based fault identification that are applied to spacecraft power distribution systems. Although based on a common framework, the fundamental difference between the two algorithms is that one uses a global model for residual generation, fault isolation, and fault identification; whereas the other uses a set of minimal submodels computed using Possible Conflicts. We describe the implementation of the two algorithms and compare their diagnosis results on a representative spacecraft power distribution system.

Tags: ames, dashlink, nasa
Organization: National Aeronautics and Space Administration
Sounder SIPS: AQUA AIRS IR + MW Level 3 CLIMCAPS: Specific Quality Control Gridded Monthly V2 at GES DISC

WARNING: To users of the derived product “co_mmr_midtrop” (carbon monoxide mass mixing ratio to dry air [kg/kg] at ~500 hPa). This variable has a significant bias due to a conversion error: the molecular weight of carbon dioxide (CO2, 44.01 g/mol) was used instead of carbon monoxide (CO, 28.01 g/mol). To correct, simply multiply “co_mmr_midtrop” by 28.01/44.01. Alternatively, derive a profile of mass mixing ratio from scratch using the retrieved column density values (“mol_lay/co_mol_lay”) in the Level 2 files. For further questions or concerns please contact the Sounder SIPS at: sounder.sips@jpl.nasa.gov

The CLIMCAPS (Community Long-term Infrared Microwave Coupled Product System) algorithm is used to analyze data from the AIRS (Atmospheric Infrared Sounder) and AMSU (Advanced Microwave Sounding Unit). The AIRS instrument is a grating spectrometer (R = 1200) aboard the second Earth Observing System (EOS) polar-orbiting platform, EOS Aqua. The AIRS in combination with the AMSU constitutes an innovative atmospheric sounding group of infrared and microwave sensors. The AIRS Standard Retrieval Product consists of retrieved estimates of cloud and surface properties, plus profiles of retrieved temperature, water vapor, ozone, carbon monoxide and methane. The temperature profile vertical resolution is 100 levels total between 1100 mb and 0.1 mb, while moisture profile is reported at atmospheric layers between 1100 mb and 300 mb. The horizontal resolution is 50 km.
 
The CLIMCAPS algorithm uses an Optimal Estimation methodology and uses an a-priori first guess to start the process. A CLIMCAPS sounding is comprised of a set of parameters that characterizes the full atmospheric state and includes a variety of geophysical parameters derived from the CrIMSS data. These include surface temperature and infrared emissivity; full atmosphere profiles of temperature, water vapor and ozone; infrared effective cloud top characteristics; carbon monoxide, methane, carbon dioxide, sulfur dioxide, nitrous oxide, and nitric acid.
 
This monthly one degree latitude by one degree longitude level-3 product starts with level-2 retrieval products applying the specific quality control (QC) methodology. Specific QC accepts profile level from the top of the atmosphere down to the level where the QC determines that it is still good. Below this level, the data is rejected.

Tags: air-quality, altitude, atmosphere, atmospheric-chemistry, atmospheric-pressure, atmospheric-radiation, atmospheric-temperature, atmospheric-water-vapor, clouds, earth-science, land-surface, ocean-temperature, oceans, precipitation, surface-radiative-properties, surface-thermal-properties
Organization: National Aeronautics and Space Administration
Prediction Of Worldwide Energy Resources (POWER)

The POWER Project contains over 380 satellite-derived meteorology and solar energy Analysis Ready Data (ARD) at four temporal levels: hourly, daily, monthly (by year 12 months + annual averages), and climatology. The POWER Data Archive provides data at the native resolution of the source data products. The data is updated nightly to maintain Near Real Time (NRT) availability (2-3 days for meteorological parameters and 5-7 days for solar).

The POWER Project targets three specific user communities: Renewable Energy (RE), Sustainable Buildings (SB), and Agroclimatology (AG). The POWER Projects provides community specific parameters, output formats, naming conventions, and units that are commonly employed by each user community.

The POWER Services Catalog consists of a series of RESTful Application Programming Interfaces (API), geospatial enabled image services, and a web mapping Data Access Viewer (DAV). These three different service offerings support data discovery, access, and distribution to our user base as ARD and as direct application inputs to decision support tools.

Tags: climate, energy, geospatial, google-earth, irradiance, meteorology, near-real-time-nrt, nrt, power, renewable-energy, solar, temperature, time-series, wind
Organization: National Aeronautics and Space Administration
DXC'10 Industrial Track Competition Data

Competition data, including nominal and faulty scenarios, for Diagnostic Problems I and II of the Second International Diagnostic Competition. Three file formats are provided, tab-delimited .txt files, Matlab .mat files, and tab-delimited .scn files. The scenario (.scn) files are read by the DXC framework. See the DXC'10 Industrial Track Sample Data resource page for additional documentation, including system catalogs and schematics.

Tags: ames, dashlink, nasa
Organization: National Aeronautics and Space Administration
Soil Moisture Active Passive (SMAP) L1-L3 Ancillary NOAA Data V001

This ancillary SMAP product contains six dynamic data sets originally produced by NOAA or NOAA-affiliated organizations. 
1) NCEP Geophysical Forecast System modeled data provided in 6-hour time steps 
2) Daily Reynolds Sea Surface Temperature data 
3) Snow Cover data from NOAA Interactive Multisensor Snow and Ice Mapping System 
4) NOAA Solar Radio Flux 
5) GPS-derived total electron content used to compute the Faraday rotation correction for the SMAP radar 
6) Instantaneous wave height measures

Tags: cryosphere, earth-science, ocean-temperature, ocean-waves, oceans, sea-ice, snow-ice, solar-activity, sun-earth-interactions
Organization: National Aeronautics and Space Administration
CDDIS_GNSS_products_ionosphere_predicted

Ionosphere Total Electron Content (TEC) grids derived from analysis of Global Navigation Satellite System (GNSS) data. These products are the generated by analysis centers in support of the International GNSS Service (IGS) and combined by the IGS ionosphere analysis coordinator to form the official IGS predicted ionopsphere product (daily).

Tags: nasa
Organization: National Aeronautics and Space Administration
SWOT Level 2 Radiometer Brightness Temperatures and Troposphere Operational Data Product, Version 2.0

The SWOT Level 2 Radiometer Brightness Temperatures and Troposphere Operational Geophysical Data Record (OGDR) Version 1.0 dataset produced by the Surface Water and Ocean Topography (SWOT) mission provides atmospheric water vapor and liquid water content from the Advanced Microwave Radiometer (AMR), a Jason-class radiometer that measures sea surface brightness temperatures at three microwave frequencies (18.7, 23.8 and 34 GHz). Brightness temperatures are processed to estimate the wet troposphere content, atmospheric attenuation to backscatter, cloud liquid water, water vapor content, and wind speed coincident with each range measurement from the nadir altimeter and applied to correct for altimeter range delays caused by atmospheric effects. SWOT is a joint mission between NASA and CNES that launched on December 16, 2022 and aims to measure ocean surface topography with unprecedented resolution and accuracy, as well as map inland water bodies globally.
The operational radiometer dataset consists of discrete measurements along two tracks located approximately 30-km to the left and right of the satellite nadir. They were processed using the onboard DORIS orbit ephemeris and preliminary calibrations. They are distributed as one file per data downlink in netCDF-4 file format with a nominal latency of < 7 hours.

Tags: atmosphere, atmospheric-water-vapor, atmospheric-winds, clouds, cryosphere, earth-science, geological-features, microwave, oceans, radar, sea-ice, spectral-engineering
Organization: National Aeronautics and Space Administration
NASA Life Sciences Portal (NLSP)

The NASA Life Sciences Portal (NLSP) is the data platform for accessing NASA's Life Sciences Data Archive (LSDA). The LSDA is an active archive that provides information and data from 1961 (Mercury Project) through current flight and flight analog studies (International Space Station, Shuttle, bed rest studies, etc.) involving human, plant and animal subjects.

Alternative contact: Jessica Keune (jessica.a.keune@nasa.gov)

Tags: accessibility, actiwatch, biospecimens, blind, bone, calcium, chronobiology, earth-images, endocrinology, gastrointestinal, health, hematology, hrp, hrp-lsda, hrp-nlsp, immunology, life-sciences, lsda, metabolism, microbiology, mission, nasa, nasa-nlsp, nlsp, operations, payload, pharmacology, physiology, software, sound-cues, space, space-biology, toxicology
Organization: National Aeronautics and Space Administration
OCO-3 Level 1B calibrated, geolocated science spectra, Forward Processing V11 (OCO3_L1B_Science) at GES DISC

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

The Orbiting Carbon Observatory -3 (OCO-3) was deployed to the International Space Station in May, 2019. It is technically a single instrument, almost identical to OCO-2.

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.

OCO-3 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. 

Oxygen-A Band cloud screening algorithm is one of the primary cloud screening tools implemented in the operational OCO processing pipeline. The algorithm was introduced and applied to early GOSAT data  with further analysis performed on OCO-2 simulations.

The OCO ABO2 algorithm employs a fast Bayesian retrieval to estimate surface pressure and surface albedo from high resolution spectra of the molecular oxygen (O2) A-band, near 0.765 µm. The radiative transfer forward model (FM) assumes a clear-sky condition, i.e. Rayleigh scattering only, such that differences between the modeled and measured radiances are apparent when the measurement scene contains cloud or aerosol.

Tags: atmosphere, atmospheric-chemistry, earth-science, infrared-wavelengths, spectral-engineering
Organization: National Aeronautics and Space Administration
DXC'10 Industrial Track Sample Data

Sample data, including nominal and faulty scenarios, for Diagnostic Problems I and II of the Second International Diagnostic Competition. Three file formats are provided, tab-delimited .txt files, Matlab .mat files, and tab-delimited .scn files. The scenario (.scn) files are read by the DXC framework. See the Second International Diagnostic Competition project page for more information.

Tags: ames, dashlink, nasa
Organization: National Aeronautics and Space Administration
VIIRS/JPSS1 Ice Surface Temperature 6-Min L2 Swath 750m V002

This data set reports sea ice surface temperature (IST) derived from radiance data acquired by the Visible Infrared Imager Radiometer Suite (VIIRS) onboard the Joint Polar Satellite System's first satellite (JPSS-1). Following the approach used by MODIS, the algorithm converts VIIRS calibrated radiances into brightness temperature and computes IST using a split-window technique.

Tags: cryosphere, earth-science, sea-ice
Organization: National Aeronautics and Space Administration
Gazetteer of Planetary Nomenclature: Asteroids: Eros

These images display asteriods documented and approved by the International Astronomical Union (IAU).

Tags: asteriods, dactyl, eros, gaspra, ida, imagery, images, itokawa, lutetia, mathilde, steins, usgs, vesta, working-group-for-planetary-system-nomenclature
Organization: National Aeronautics and Space Administration
TROPICS06 L2B Neural-network Atmospheric Vertical Temperature & Moisture Profiles V1.0

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
IceBridge ATM L1B Elevation and Return Strength V002

This data set contains spot elevation measurements of Arctic and Antarctic sea ice, and Greenland, Antarctic Peninsula, and West Antarctic region ice surface acquired using the NASA Airborne Topographic Mapper (ATM) instrumentation. The data were collected as part of Operation IceBridge funded aircraft survey campaigns.

Tags: climate-indicators, cryospheric-indicators, earth-science
Organization: National Aeronautics and Space Administration
OCO-2 Level 1A collated, parsed, calibration data V11 (OCO2_L1aIn_Pixel) at GES DISC

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

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-2 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 Single-pixel Mode of operation.

Tags: atmosphere, atmospheric-chemistry, earth-science, infrared-wavelengths, spectral-engineering
Organization: National Aeronautics and Space Administration
Gazetteer of Planetary Nomenclature: Mercury: 1:5 million-scale

The purpose of this set of maps is to provide an up-to-date source showing the locations of Mercury surface feature names approved by the International Astronomical Union (IAU).

Tags: asteroids, imagery, images, mercury, planets, usgs, wgpsn, working-group-for-planetary-system-nomenclature
Organization: National Aeronautics and Space Administration
OCO-2 Level 0 spacecraft ephemerides, Retrospective Processing V11r (OCO2_Eph) 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-2 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 . Each band has 1016 spectral elements.This product contains the position and velocity of the spacecraft for each orbit. It is generated using the following input data:+ APID 20 telemetry+ Orbit Boundary File.It is essential in generating the Geolocations of the science data.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: earth-science, platform-characteristics, spectral-engineering
Organization: National Aeronautics and Space Administration