AndreaBozzo/ceres-open-data-index huggingface dataset:
TROPICS07 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
SWOT Level 2 Lake Single-Pass Vector Prior Data Product, Version 2.0

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

Tags: earth-science, surface-water, terrestrial-hydrosphere
Organization: National Aeronautics and Space Administration
Microfluidic Extraction of DNA for Identification of Unknown organisms in Microgravity Project

&lt;p&gt;Expanding human spaceflight beyond low-Earth orbit poses significant technological challenges. One of these challenges is environmental monitoring, specifically the ability to identify and respond to microbiological threats in real-time. Because returning samples to Earth for analysis is not practical from deep-space, in-flight environmental monitoring is an essential capability for missions away from low-Earth orbit. Microbial identification by direct sequencing is readily achieved by identifying species-specific differences in Deoxyribonucleic Acid (DNA) sequences. These analyses require the extraction and separation of DNA from cells, but current methods for DNA isolation typically require technologies incompatible with spaceflight.&lt;/p&gt;&lt;p&gt;In-flight environmental monitoring is an important technology for missions away from low-Earth orbit. An important aspect of environmental monitoring is the ability to identify and respond to microbiological threats. Automatable in situ monitoring technologies are essential when sample return is not practical. Microbial identification is readily achieved by identifying differences in DNA sequences, such as direct sequencing or hybridization of the DNA strands. These analyses require the extraction and separation of DNA from cells. However, current methods for DNA isolation typically require technologies incompatible with spaceflight.&lt;/p&gt;&lt;p&gt;We seek to develop a miniaturized MEDIUM device for the extraction of DNA from operationally relevant samples (i.e., potable water sources); the extracted DNA can then be used for microbial identification using one or more DNA-dependent molecular techniques, such as sequencing. Isolation of DNA for sequencing or other analyses typically requires technologies incompatible with spaceflight. For this reason we have carefully chosen digital microfluidics-based extraction cartridges due to their likely compatibility with microgravity. Unlike other DNA extraction methods that rely on gravitational forces, the microfluidics devices use electro-wetting to move liquids. This eliminates the requirement for pumps, centrifuges and other moving parts. The quality of the DNA extracted by the microfluidics-based platform and by conventional kit-based methods will be characterized for its suitability in next-generation sequencing applications.&lt;/p&gt;

Tags: active, johnson-space-center, medium, project
Organization: National Aeronautics and Space Administration
Gazetteer of Planetary Nomenclature: Saturnian System: Titan

These images display several of Saturn's moons approved by the International Astronomical Union (IAU).

Tags: dione, enceladus, epimetheus, hyperion, iapetus, imagery, images, janus, mimas, moons, phoebe, rhea, saturn, tethys, titan, usgs, working-group-for-planetary-system-nomenclature
Organization: National Aeronautics and Space Administration
MetOp-A ASCAT Level 2 25.0 km Ocean Surface Wind Vectors

This dataset contains operational near-real-time Level 2 ocean surface wind vector retrievals from the Advanced Scatterometer (ASCAT) on MetOp-A at 25 km sampling resolution (note: the effective resolution is 50 km). It is a product of the European Organization for the Exploitation of Meteorological Satellites (EUMETSAT) Ocean and Sea Ice Satellite Application Facility (OSI SAF) provided through the Royal Netherlands Meteorological Institute (KNMI). The wind vector retrievals are currently processed using the CMOD7.n geophysical model function using a Hamming filter to spatially average the Sigma-0 data in the ASCAT L1B data. Each file is provided in netCDF version 3 format, and contains one full orbit derived from 3-minute orbit granules. Latency is approximately 2 hours from the latest measurement. The beginning of the orbit is defined by the first wind vector cell measurement within the first 3-minute orbit granule that starts north of the Equator in the ascending node. ASCAT is a C-band dual fan beam radar scatterometer providing two independent swaths of backscatter retrievals in sun-synchronous polar orbit aboard the MetOp-A platform. For more information on the MetOp mission, please visit: https://www.eumetsat.int/our-satellites/metop-series . For more timely announcements, users are encouraged to register with the KNMI scatterometer email list: scat@knmi.nl. Users are also highly advised to check the dataset user guide periodically for updates and new information on known problems and issues. All intellectual property rights of the OSI SAF products belong to EUMETSAT. The use of these products is granted to every interested user, free of charge. If you wish to use these products, EUMETSAT's copyright credit must be shown by displaying the words "copyright (year) EUMETSAT" on each of the products used.

Tags: earth-science, ocean-winds, oceans
Organization: National Aeronautics and Space Administration
SMAPVEX16 Manitoba Probe-Based In Situ Soil Moisture Data V001

This data set contains in situ measurements of soil moisture, soil and vegetation temperature, and real dielectric constant collected for the Soil Moisture Active Passive Validation Experiment 2016 Manitoba (SMAPVEX16 Manitoba) campaign.

Tags: earth-science, land-surface, soils, surface-thermal-properties
Organization: National Aeronautics and Space Administration
AIRS/Aqua Granule map product V005 (AIRXAMAP) at GES DISC

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. An AIRS granule has been set as 6 minutes of data, 30 footprints cross track by 45 lines along track. The AIRS Granule Map Product consists of images of granule coverage in PDF and JPG format. The images are daily ones but updated every 6 minutes to capture any new available granule. Granules are assembled by ascending, descending, in north and south hemisphere, and the maps are in global cylindrical projection and satellite projection for better view.

Tags: earth-science, infrared-wavelengths, microwave, spectral-engineering
Organization: National Aeronautics and Space Administration
Coiled Brine Recovery Assembly (CoBRA) Project

&lt;p&gt;The Coiled Brine Recovery Assembly (CoBRA) project will result in a proof-of-concept demonstration for a lightweight, compact, affordable, regenerable and disposable solution to brine water recovery. The heart of CoBRA is an evaporator that produces water vapor from brine. This evaporator leverages a novel design that enables passive transport of brine from place to place within the system. While it will be necessary to build or modify a system for testing the CoBRA concept, the emphasis of this project will be on developing the evaporator itself. This project will utilize a &amp;ldquo;test early, test often&amp;rdquo; approach, building at least one trial evaporator to guide the design of the final product.&amp;nbsp;&lt;br /&gt;&amp;nbsp;&lt;/p&gt;

Tags: active, cobra, johnson-space-center, project
Organization: National Aeronautics and Space Administration
Multivariate Time Series Search

Multivariate Time-Series (MTS) are ubiquitous, and are generated in areas as disparate as sensor recordings in aerospace systems, music and video streams, medical monitoring, and financial systems. Domain experts are often interested in searching for interesting multivariate patterns from these MTS databases which can contain up to several gigabytes of data. Surprisingly, research on MTS search is very limited. Most existing work only supports queries with the same length of data, or queries on a fixed set of variables. In this paper, we propose an efficient and flexible subsequence search framework for massive MTS databases, that, for the first time, enables querying on any subset of variables with arbitrary time delays between them. We propose two provably correct algorithms to solve this problem — (1) an R-tree Based Search (RBS) which uses Minimum Bounding Rectangles (MBR) to organize the subsequences, and (2) a List Based Search (LBS) algorithm which uses sorted lists for indexing. We demonstrate the performance of these algorithms using two large MTS databases from the aviation domain, each containing several millions of observations. Both these tests show that our algorithms have very high prune rates (>95%) thus needing actual disk access for only less than 5% of the observations. To the best of our knowledge, this is the first flexible MTS search algorithm capable of subsequence search on any subset of variables. Moreover, MTS subsequence search has never been attempted on datasets of the size we have used in this paper.

Tags: ames, dashlink, nasa
Organization: National Aeronautics and Space Administration
Turbulence Models: Data from Other Experiments: Flow Behind a NACA 0012 Wingtip

Exp: Flow Behind a NACA 0012 Wingtip. This web page provides data from experiments that may be useful for the validation of turbulence models. This resource is expected to grow gradually over time. All data herein arepublicly available.

Tags: experiment, flow, models, naca, turbulence, validation, wingtip
Organization: National Aeronautics and Space Administration
A Model-Based Prognostics Approach Applied to Pneumatic Valves

Within the area of systems health management, the task of prognostics centers on predicting when components will fail. Model-based prognostics exploits domain knowledge of the system, its components, and how they fail by casting the un- derlying physical phenomena in a physics-based model that is derived from first principles. Uncertainty cannot be avoided in prediction, therefore, algorithms are employed that help in managing these uncertainties. The particle filtering algorithm has become a popular choice for model-based prognostics due to its wide applicability, ease of implementation, and support for uncertainty management. We develop a general model- based prognostics methodology within a robust probabilistic framework using particle filters. As a case study, we consider a pneumatic valve from the Space Shuttle cryogenic refuel- ing system. We develop a detailed physics-based model of the pneumatic valve, and perform comprehensive simulation experiments to illustrate our prognostics approach and evalu- ate its effectiveness and robustness. The approach is demon- strated using historical pneumatic valve data from the refuel- ing system.

Tags: ames, dashlink, nasa
Organization: National Aeronautics and Space Administration
SMAP L3 Radar Global Daily 3 km EASE-Grid Soil Moisture V003

This Level-3 (L3) soil moisture product provides a composite of daily estimates of global land surface conditions retrieved by the Soil Moisture Active Passive (SMAP) radar as well as a variety of ancillary data sources. SMAP L-band soil moisture data are resampled to an Earth-fixed, global, cylindrical 3 km Equal-Area Scalable Earth Grid, Version 2.0 (EASE-Grid 2.0).

Tags: earth-science, land-surface, radar, soils, spectral-engineering
Organization: National Aeronautics and Space Administration
Friant Kern Canal At Woollomes Ave Methyl ethyl ketone ug/l Time Series Data

Measurements of Methyl ethyl ketone collected at Friant Kern Canal At Woollomes Ave. Currently collected twice a year, previously collected quarterly. Access further information for this data set by contacting Bureau of Reclamation, California-Great Basin Region, Environmental Affairs Division (CGB-157). See ResultAttributes for STAFF_GAUGE, SMPL_DEPTH, SMPL_CATEGORY_NAME, METHOD_CODE, RESULT_RL, RESULT_RL-UNIT_STD_NAME, RESULT_MDL, RESULT_MDL-UNIT_STD_NAME, USBR_QA_SUBTYPE_NAME, USBR_QULFR_DESCRIPTION. STAFF_GAUGE is the water height in decimal feet measured by gauge (e.g., 15.2). SMPL_DEPTH is the vertical depth at which sample is collected (e.g., 0 - 15 cm). For water samples: depth below water/air interface. For sediment and soil samples: depth below water/solid or air/solid interface. SMPL_CATEGORY_NAME is the category type of sample (e.g., Composite). METHOD_CODE is the name of method used to obtain result (e.g., EPA 200.8). RESULT_RL is the result reporting limit (accounting for dilution) (e.g., 0.02). RESULT_RL-UNIT_STD_NAME is the unit associated with RESULT_RL (e.g., mg/L). RESULT_MDL is the result method detection limit (e.g., 0.007). RESULT_MDL-UNIT_STD_NAME is the unit associated with RESULT_MDL (e.g., mg/L). USBR_QA_SUBTYPE_NAME is the quality control type of the sample (e.g., USBR_BLANK_SPIKE). USBR_QULFR_DESCRIPTION is the quality assurance description (if any) (e.g., Result may have a high bias.).

Tags: surface-water-grab-samples
Organization: Department of the Interior
AMSR-E/AMSR2 Unified L3 Daily 12.5 km Brightness Temperatures, Sea Ice Concentration, Motion & Snow Depth Polar Grids V001

This data set reports average daily horizontally and vertically polarized brightness temperatures; sea ice concentrations; and snow depths over sea ice on 12.5 km resolution north and south polar stereographic grids. Ungridded sea ice motion data are also available for the Arctic. The data are derived from observations acquired by the Advanced Microwave Scanning Radiometer (AMSR) for EOS (AMSR-E) and AMSR2 instruments that have been spatially resampled by the Japan Aerospace Exploration Agency (JAXA) to unify the AMSR-E and AMSR2 missions.

Brightness temperatures are available at 18.7 GHz, 23.8 GHz, 36.5 GHz and 89.0 GHz for ascending and descending orbits, and as a single daily average. Sea ice concentrations are generated with the Enhanced NASA Team (NT2) algorithm; a separate variable reports the daily sea ice concentration difference between the legacy AMSR Basic Bootstrap Algorithm (ABA) and the NT2.

Tags: cryosphere, earth-science, microwave, sea-ice, spectral-engineering
Organization: National Aeronautics and Space Administration
SatCORPS CERES GEO Edition 4 Meteosat-8 Northern Hemisphere Version 1.0

CER_GEO_Ed4_MET08_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-8 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-8 platform. Data collection for this product is complete. 

This data set comprises cloud micro-physical and radiation properties derived hourly from Meteosat-8 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
Accelerated Aging Experiments for Prognostics of Damage Growth in Composite Materials

Composite structures are gaining importance for use in the aerospace industry. Compared to metallic structures their behavior is less well understood. This lack of understanding may pose constraints on their use. One possible way to deal with some of the risks associated with potential failure is to perform in-situ monitoring to detect precursors of failures. Prognostic algorithms can be used to predict impending failures. They require large amounts of training data to build and tune damage model for making useful predictions. One of the key aspects is to get confirmatory feedback from data as damage progresses. These kinds of data are rarely available from actual systems. The next possible resource to collect such data is an accelerated aging platform. To that end this paper describes a fatigue cycling experiment with the goal to stress carbon-carbon composite coupons with various layups. Piezoelectric disc sensors were used to periodically interrogate the system. Analysis showed distinct differences in the signatures of growing failures between data collected at conditions. Periodic X-radiographs were taken to assess the damage ground truth. Results after signal processing showed clear trends of damage growth that were correlated to damage assessed from the X-ray images.

Tags: ames, dashlink, nasa
Organization: National Aeronautics and Space Administration
RADARSAT-1_LEVEL0

RADARSAT-1 Level 0

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
Folsom South Canal At Grantline Rd Dichlorodifluoromethane ug/L Time Series Data

Measurements of Dichlorodifluoromethane collected at Folsom South Canal At Grantline Rd. Currently collected twice a year, previously collected quarterly. Access further information for this data set by contacting Bureau of Reclamation, California-Great Basin Region, Environmental Affairs Division (CGB-157). See ResultAttributes for STAFF_GAUGE, SMPL_DEPTH, SMPL_CATEGORY_NAME, METHOD_CODE, RESULT_RL, RESULT_RL-UNIT_STD_NAME, RESULT_MDL, RESULT_MDL-UNIT_STD_NAME, USBR_QA_SUBTYPE_NAME, USBR_QULFR_DESCRIPTION. STAFF_GAUGE is the water height in decimal feet measured by gauge (e.g., 15.2). SMPL_DEPTH is the vertical depth at which sample is collected (e.g., 0 - 15 cm). For water samples: depth below water/air interface. For sediment and soil samples: depth below water/solid or air/solid interface. SMPL_CATEGORY_NAME is the category type of sample (e.g., Composite). METHOD_CODE is the name of method used to obtain result (e.g., EPA 200.8). RESULT_RL is the result reporting limit (accounting for dilution) (e.g., 0.02). RESULT_RL-UNIT_STD_NAME is the unit associated with RESULT_RL (e.g., mg/L). RESULT_MDL is the result method detection limit (e.g., 0.007). RESULT_MDL-UNIT_STD_NAME is the unit associated with RESULT_MDL (e.g., mg/L). USBR_QA_SUBTYPE_NAME is the quality control type of the sample (e.g., USBR_BLANK_SPIKE). USBR_QULFR_DESCRIPTION is the quality assurance description (if any) (e.g., Result may have a high bias.).

Tags: surface-water-grab-samples
Organization: Department of the Interior
Natural Resources Conservation Service SD State Farm Service Agency Color Slide Scans

The unique landscape of South Dakota, known for its diverse wetlands and large areas of native prairie, provides critical habitat for many of the nation’s migratory birds, including grassland birds.

Tags: earth-science, erosion-sedimentation, geomorphic-landforms-processes, land-surface, land-use-land-cover, landscape, soils, surface-radiative-properties, topography
Organization: National Aeronautics and Space Administration