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The key enabler for prognostics capabilities is monitoring time series signals relating to the health of executing components and subsystems. Time series signals are processed in real time using pattern recognition for proactive anomaly detection and for remaining useful life estimation. Examples will be presented of the use of pattern recognition techniques for early detection of a number of mechanisms that are known to cause failures in electronic systems, including: environmental issues; software aging; degraded or failed sensors; degradation of hardware components; degradation of mechanical, electronic, and optical interconnects. Prognostics pattern classification is helping to substantially increase component reliability margins and system availability goals while reducing costly sources of \"no trouble found\"\r\n\r\nevents that have become a significant warranty-cost issue.\r\n\r\n \r\n\r\n**Bios**\r\n\r\nAleksey Urmanov is a research scientist at Sun Microsystems. 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The knowledge-based system was derived from the results obtained in a previously deployed Neural Network (NN) application for fault detection and disambiguation. Results are illustrated on an electromechanical actuator application where the system faults are jam and spalling. In addition to the functions implemented in the previous work, system fault detection under sensor failure was also modeled. The paper includes a sensitivity analysis that compares the results previously obtained with the NN. 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Signals from piezo actuator-receiver sensor pairs were reported and it was observed that these signals were directly related to the crack lengths developed during fatigue testing. Optical measurements of surface crack lengths are also provided as the ground truth. The data set is split in training and validation to facilitate the application of data-driven methods. \n\nThis data set was generated at Arizona State University by Prof. Yongming Liu, Dr. Tishun Peng, and their collaborators. The data set was used for the Prognostics Health Management (PHM) Data Challenge for the 2019 Conference on Prognostics and Health Management. 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This data set was created using a global data set of point locations of nuclear power plants, with buffer zones at 30km, 75km, 150km, 300km, 600km, and 1200km, and the Global Population Count Grid Time Series Estimates, Version 1 to estimate the population within each buffer zone for the years 1990, 2000, and 2010. Global Rural-Urban Mapping Project, Version 1 (GRUMPv1) Land and Geographic Unit Area Grids were used to estimate land area within each buffer zone. The GRUMPv1 Urban Extents Grid was used to further delineate population and land area estimates within urban and rural areas. 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We propose to use NASA GeneLab database to gain new knowledge on potential systemic responses to space. Unbiased systems biology analysis of transcriptomic data from seven different rodent datasets reveals for the first time the existence of potential 'master regulators' coordinating a systemic response to microgravity and/or space radiation with TGF-\u03b21 being the most common regulator. We hypothesized the space environment leads to the release of biomolecules circulating inside the blood stream. Through datamining we identified 13 candidate microRNAs (miRNA) which are common in all studies and directly interact with TGF-\u03b21 that can be potential circulating factors impacting space biology. 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To explore molecular changes, we generated a single-cell RNA sequencing dataset, of 216 samples from 28 mouse organs and tissues under spaceflight and control conditions. Since spaceflight effects closely resemble aspects of aging, we included two age groups (3 and 8 months) to assess age-related influences. Our data revealed that spaceflight drives age-independent systemic changes, primarily affecting tissue remodeling and alterations in cytoskeleton, membrane and extracellular matrix (ECM), particularly in endothelial cells. In contrast, aging has a weaker impact, mainly altering immune regulation in an age-dependent manner. These findings suggest that cytoskeletal and ECM changes may contribute to immune Dysregulation.","distribution":[{"@type":"dcat:Distribution","downloadURL":"http://purl.bioontology.org/ontology/NCBITAXON/10090","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://lsda.jsc.nasa.gov/Experiment/exper/13961","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://osdr.nasa.gov/bio/repo/data/missions/SpaceX-8","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://osdr.nasa.gov/bio/repo/data/studies/OSD-161","format":"BIN","mediaType":"application/octet-stream"}],"identifier":"10.26030/necm-6v21","keyword":["biological-and-physical-sciences","genelab","nasa"],"license":"https://www.usa.gov/government-works","modified":"2026-08-10","programCode":["026:000"],"publisher":{"@type":"org:Organization","name":"Open Science Data Repository"},"theme":["Biological and Physical Sciences"],"title":"Spaceflight induces systemic effects on extracellular matrix and immune system in different age-stages - Blood data"},"description":"Spaceflights significantly impacts astronaut health, causing muscle atrophy, bone loss, cardiovascular deconditioning and immune system dysregulation, especially during long missions. 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VEG-04A and VEG-04B explored growing leafy greens on the International Space Station using the Veggie Vegetable Production System. Two flight tests with ground controls were conducted in 2019 growing mizuna mustard, where Veggie chambers were set to different red-to-blue-to-green light formulations. Light quality affects plant growth, nutrition, microbiology, and organoleptic characteristics on Earth, and we examined how these vary in microgravity and under different harvest scenarios. Astronauts harvested and weighed mizuna and completed organoleptic evaluations. Flight samples were returned to Earth for nutritional quality and microbial food safety analyses. Yield and chemistry differed between ground and flight samples and light treatments, and bacterial and fungal counts were lower in ground than in flight samples. This research helps increase our understanding of the requirements for growing high-quality crops in spaceflight. This study derives results from the Phenolic Content, Elemental Analysis, and ORAC assays using leaf samples.","distribution":[{"@type":"dcat:Distribution","downloadURL":"http://purl.bioontology.org/ontology/NCBITAXON/3711","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://nlsp.nasa.gov/view/lsdapub/lsda_experiment/b3705553-95ad-5b02-8577-c0af08e800f2","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://osdr.nasa.gov/bio/repo/data/missions/SpaceX-16","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://osdr.nasa.gov/bio/repo/data/missions/SpaceX-18","format":"BIN","mediaType":"application/octet-stream"},{"@type":"dcat:Distribution","downloadURL":"https://osdr.nasa.gov/bio/repo/data/studies/OSD-655","format":"BIN","mediaType":"application/octet-stream"}],"identifier":"10.26030/k1f5-1p32","keyword":["biological-and-physical-sciences","genelab","nasa"],"license":"https://www.usa.gov/government-works","modified":"2026-08-10","programCode":["026:000"],"publisher":{"@type":"org:Organization","name":"Open Science Data Repository"},"theme":["Biological and Physical Sciences"],"title":"Pick-and-eat space crop production flight testing on the International Space Station (Elemental Analysis, ORAC, Phenolic Content)"},"description":"Fresh, nutritious, palatable produce for crew consumption on long-duration spaceflight missions may provide health-promoting, bioavailable nutrients and enhance the dietary experience. 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These data provided important information on the potential health effects of particles to support exposure and epidemiological studies for enhanced evaluation of health outcome, pollutant, and source relationships. \r\n\r\nThe EPA PM Supersites Program was an ambient air monitoring research program designed to provide information of value to the atmospheric sciences, and human health and exposure research communities. Eight geographically diverse projects were chosen to specifically address the following EPA research priorities: (1) to characterize PM, its constituents, precursors, co-pollutants, atmospheric transport, and its source categories that affect the PM in any region; (2) to address the research questions and scientific uncertainties about PM source-receptor and exposure-health effects relationships; and (3) to compare and evaluate different methods of characterizing PM including testing new and emerging measurement methods.\r\n\r\nNARSTO, which has since disbanded, was a public/private partnership, whose membership spanned across government, utilities, industry, and academe throughout Mexico, the United States, and Canada. 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This data product was\r\nobtained in 2002 at the Baltimore Supersite. For 7 months, starting in May 2002, individual aerosol particles were sized and analyzed using a RSMS in Baltimore. RSMS aerodynamically focuses one particle size at a time to the source region of a mass spectrometer and employs a 193 nm excimer laser to desorb and ionize the particle components. The ions are analyzed in a dual time-of-flight mass spectrometer and the spectrum is digitally recorded. Spectra are only saved if the ion peak in the spectrum is above a threshold level. Background spectra were determined and flagged. Particle size scans were periodically initiated and each size was sampled until 30 particle hits were obtained, unless the sampling time became excessive. Aerodynamic particle sizes ranged from about 40 to 1300 nm and were partitioned into nine discrete size classes logarithmically spaced, roughly, over the range. \r\n\r\nSingle particle data are valuable because for the following reasons: \r\n-\tthey are collected and analyzed real time so have excellent temporal resolution, \r\n-\tthe particle-to-particle composition variations (external mixing properties) can be assessed, and \r\n-\tkey particle sources are easily identified since the particles retain source characteristics.\r\n\r\nThe data resulting from these measurements consist of an aerodynamic particle size and a positive and negative mass spectrum of the components for each particle, along with the date and time of measurement and other incidental measurement parameters such as the laser pulse energy. Support for RSMS measurements were provided by the EPA Supersites program and additional funding from the EPA.\r\n\r\nThe EPA PM Supersites Program was an ambient air monitoring research program from 1999-2004 designed to provide information of value to the atmospheric sciences, and human health and exposure research communities. 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This data set contains measurements taken from two TEOM operated at the Fresno supersite from July 10, 1999. One TEOM samples through an impactor size-selective inlet to collect particles with aerodynamic diameters less than 10 m at a flow rate of 16.7 liters/min. The other TEOM samples through a cyclone size-selective inlet to collect particles with aerodynamic diameters less than 2.5 m at a flow rate of 16.7 liters/ min. Both TEOMs operate with inlets heated to 50\u00ba C to remove water vapor and other volatile species so that the measured concentrations are for the dry ambient aerosol. Both TEOMs report 5 minute samples.\r\n\r\nThe Fresno Supersite is one of several Supersites established in urban areas within the United States by the EPA to better understand the measurement, sources, and health effects of suspended particulate matter (PM). The site is located at 3425 First Street, approximately 1 km north of the downtown commercial district. First Street was a four-lane artery with moderate traffic levels. Commercial establishments, office buildings, churches, and schools were located north and south of the monitor. Medium-density single-family homes and some apartments were located in the blocks to the east and west of First Street. The Fresno Supersite began operation in May of 1999.The EPA PM Supersites Program was an ambient air monitoring research program designed to provide information of value to the atmospheric sciences, and human health and exposure research communities. \r\n\r\nEight geographically diverse projects were chosen to specifically address the following EPA research priorities: (1) to characterize PM, its constituents, precursors, co-pollutants, atmospheric transport, and its source categories that affect the PM in any region; (2) to address the research questions and scientific uncertainties about PM source-receptor and exposure-health effects relationships; and (3) to compare and evaluate different methods of characterizing PM including testing new and emerging measurement methods.\r\n\r\nNARSTO, which has since disbanded, was a public/private partnership, whose membership spanned across government, utilities, industry, and academe throughout Mexico, the United States, and Canada. 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This data set contains measurements taken from two TEOM operated at the Fresno supersite from July 10, 1999. One TEOM samples through an impactor size-selective inlet to collect particles with aerodynamic diameters less than 10 m at a flow rate of 16.7 liters/min. The other TEOM samples through a cyclone size-selective inlet to collect particles with aerodynamic diameters less than 2.5 m at a flow rate of 16.7 liters/ min. Both TEOMs operate with inlets heated to 50\u00ba C to remove water vapor and other volatile species so that the measured concentrations are for the dry ambient aerosol. Both TEOMs report 5 minute samples.\r\n\r\nThe Fresno Supersite is one of several Supersites established in urban areas within the United States by the EPA to better understand the measurement, sources, and health effects of suspended particulate matter (PM). The site is located at 3425 First Street, approximately 1 km north of the downtown commercial district. First Street was a four-lane artery with moderate traffic levels. Commercial establishments, office buildings, churches, and schools were located north and south of the monitor. Medium-density single-family homes and some apartments were located in the blocks to the east and west of First Street. The Fresno Supersite began operation in May of 1999.The EPA PM Supersites Program was an ambient air monitoring research program designed to provide information of value to the atmospheric sciences, and human health and exposure research communities. \r\n\r\nEight geographically diverse projects were chosen to specifically address the following EPA research priorities: (1) to characterize PM, its constituents, precursors, co-pollutants, atmospheric transport, and its source categories that affect the PM in any region; (2) to address the research questions and scientific uncertainties about PM source-receptor and exposure-health effects relationships; and (3) to compare and evaluate different methods of characterizing PM including testing new and emerging measurement methods.\r\n\r\nNARSTO, which has since disbanded, was a public/private partnership, whose membership spanned across government, utilities, industry, and academe throughout Mexico, the United States, and Canada. 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Data was collected between September 2000 to October 2003 at Claremont, Downey, Riverside, Rubidoux, and the University of Southern California (USC) in Los Angeles County, California. The Magee Scientific AE-2 series dual beam aethalometer was used in a mobile trailer to collect mass concentrations of optically absorbing black carbon particles in the submicron size range during September 15, 2000 to October 16, 2003. The Aethalometer collected aerosol continuously on quartz fiber paper and determined the increment of optically absorbing black carbon per unit volume of sampled air every 5 minutes. The overall objective of the Los Angeles Supersite in Southern California Particle Center and Supersite (SCPCS) was to conduct monitoring and research that contributes to a better understanding of the measurement, sources, size distribution, chemical composition and physical state, spatial and temporal variability, and linkages to health effects of airborne particulate matter in the Los Angeles Basin (LAB ). The EPA Particulate Matter (PM) Supersites Program was an ambient air monitoring research program designed to provide information of value to the atmospheric sciences, and human health and exposure research communities. \r\n\r\nEight geographically diverse projects were chosen to specifically address these EPA research priorities: (1) to characterize PM, its constituents, precursors, co-pollutants, atmospheric transport, and its source categories that affect the PM in any region; (2) to address the research questions and scientific uncertainties about PM source-receptor and exposure-health effects relationships; and (3) to compare and evaluate different methods of characterizing PM including testing new and emerging measurement methods.\r\n\r\nNARSTO, which has since disbanded, was a public/private partnership, whose membership spanned across government, utilities, industry, and academe throughout Mexico, the United States, and Canada. 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Data was collected using Partisol Model 2025-D samplers between late 2000 and late 2003 from sites at Downey, Claremont, Riverside, Rubidoux, and the University of Southern California (USC). Samples were collected episodically, frequently for a 24-hour per period, but in some cases multiple samples were collected over the course of a day. Element/metals, nitrate/sulfate ion, and mass concentration data were obtained. The Partisol is a dichotomous sequential multi-filter air sampler. It uses a virtual impactor to divide the air stream to facilitate the collection of fine (0.0-2.5um) and coarse (2.5-10.0um) particles onto a filter media over a pre-programmed collection period. The coarse fraction was analyzed using X-ray fluorescence and mass concentration analysis. Ion chromatography and mass concentration analyses were performed on the fine fraction. 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Intensive PM measurements were also conducted up and downwind of several freeways of the LAB, to characterize near-roadway exposure environments and to support several in vivo and in vitro health studies. The monitoring activities of the SCS were linked with toxicology studies in the LAB using a mobile PM Concentrator facility to investigate health effects associated with exposures to ultrafine, fine and coarse particles. Finally, the PIU facility was successfully used as a platform to develop, test, and evaluate numerous PM measurement instruments and sampling technologies, including several monitors for semi-continuous size fractionated mass and chemistry, personal PM exposure monitors, particle concentration technologies, and particle counting devices.\r\n\r\nNARSTO, which has since disbanded, was a public/private partnership, whose membership spanned across government, utilities, industry, and academe throughout Mexico, the United States, and Canada. 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The EPA PM Supersites Program was an ambient air monitoring research program designed to provide information of value to the atmospheric sciences, and human health and exposure research communities. \r\n\r\nEight geographically diverse projects were chosen to specifically address these EPA research priorities: (1) to characterize PM, its constituents, precursors, co-pollutants, atmospheric transport, and its source categories that affect the PM in any region; (2) to address the research questions and scientific uncertainties about PM source-receptor and exposure-health effects relationships; and (3) to compare and evaluate different methods of characterizing PM including testing new and emerging measurement methods.\r\n\r\nNARSTO, which has since disbanded, was a public/private partnership, whose membership spanned across government, utilities, industry, and academe throughout Mexico, the United States, and Canada. 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Specific objectives were: (1) to characterize the performance of emerging and/or state-of-the-science PM Measurements; (2) to compare and contrast similar and dissimilar PM Measurements; (3) to evaluate the precision, accuracy, and completeness of information that can be gained from the planned EPA PM mass and chemical composition networks; (4) to evaluate the scientific information gained by combining various independent and complementary PM Measurements; and (5) to address various scientific issues and their ozone- and PM-related policy implications with this data base.\r\n\r\nThe EPA PM Supersites Program was an ambient air monitoring research program from 1999-2004 designed to provide information of value to the atmospheric sciences, and human health and exposure research communities. Eight geographically diverse projects were chosen to specifically address the following EPA research priorities: (1) to characterize PM, its constituents, precursors, co-pollutants, atmospheric transport, and its source categories that affect the PM in any region; (2) to address the research questions and scientific uncertainties about PM source-receptor and exposure-health effects relationships; and (3) to compare and evaluate different methods of characterizing PM including testing new and emerging measurement methods.\r\n\r\nNARSTO, which has since disbanded, was a public/private partnership, whose membership spanned across government, utilities, industry, and academe throughout Mexico, the United States, and Canada. 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Files for this data product were obtained from July to September 1999 during the Atlanta Experiment of the EPA Particulate Matter Supersites Program. The UAH MIPS Doppler profiler (915 MHz radar) was used to estimate the vertical distribution of horizontal wind speed and wind direction. Radial velocity along six beams was used to obtain the horizontal wind speed and wind direction. The consensus averaging time was 55 minutes, the number of beams is 6, and the number of range gates was 41. For beam 1, the number of records required to make consensus was 16, the total number of records was 26, and the consensus window size was 4 m/s. For beams 2 and 3, the number of records required to make consensus was 13, the total number of records was 26, and the consensus window size was 3 m/s. There was no data for beams 4 and 5. For beam 6, the number of records required to make consensus was 16, the total number of records was 26 and the consensus window size was 3 m/s. The azimuth and elevation for beams 1 to 6 were: 358 and 90; 88 and 66.4; 178 and 66.4; none; none; 88 and 90.\r\n\r\nThe EPA selected Atlanta as one of the first Supersites Programs dedicated to the study of fine particles (or Particulate Matter (PM) 2.5). The Southern Oxidants Study (SOS) in conjunction with the Georgia Institute of Technology, Earth and Atmospheric Sciences Department developed and implemented the scientific research plan for this initial Supersites Program effort. The Atlanta field experiment was a 4-week long campaign aimed at comprehensively addressing issues related to the measurement and characterization of fine particles in the polluted or urban atmosphere. 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Data for this product was obtained in August 1999 during the Atlanta Experiment of the EPA Particulate Matter (PM) Supersites Program. \r\n\r\nDuring a month in the summer of 1999, individual aerosol particles were sized and analyzed using a Rapid Single-particle Mass Spectrometer (RSMS) in Atlanta. RSMS aerodynamically focuses one particle size at a time to the source region of a mass spectrometer and employs a 193 nm excimer laser to desorb and ionize the particle components. The ions are analyzed in a single time-of-flight mass spectrometer and the spectrum is digitally recorded. Spectra are only saved if the ion peak in the spectrum is above a threshold level. Background spectra were determined and flagged. Particle size scans were initiated periodically, and each size was sampled until 30 particle hits were obtained, unless the sampling time became excessive. 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Support for RSMS measurements was provided by the EPA Supersite program and additional funding from the EPA and National Science Foundation (NSF).\r\n\r\nThe EPA PM Supersites Program was an ambient air monitoring research program from 1999-2004 designed to provide information of value to the atmospheric sciences, and human health and exposure research communities. Eight geographically diverse projects were chosen to specifically address the following EPA research priorities: (1) to characterize PM, its constituents, precursors, co-pollutants, atmospheric transport, and its source categories that affect the PM in any region; (2) to address the research questions and scientific uncertainties about PM source-receptor and exposure-health effects relationships; and (3) to compare and evaluate different methods of characterizing PM including testing new and emerging measurement methods.\r\n\r\nNARSTO, which has since disbanded, was a public/private partnership, whose membership spanned across government, utilities, industry, and academe throughout Mexico, the United States, and Canada. 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It contains 24-hour integrated measurements of ammonia and nitric acid collected during September 30, 2000 through May 22, 2001 at the Houston Regional Monitoring (HRM) Site 3, Aldine, and Deer Park Houston Supersite monitoring locations. Samples were collected using a coated annular diffusion denuder downstream of a Teflon filter and analyzed by ion chromatography. Data set change history: Measurements of ammonia and nitric acid were quantified as ammonium and nitrate using ion chromatography. \r\n\r\nEffective August 27, 2004, the TABLE COLUMN NAME and TABLE COLUMN CAS IDENTIFIER values in the main data table were changed from ammonium and nitrate to ammonia and nitric acid to clarify that these are gas-phase measurements. The data set name was changed from NARSTO EPA_SS_HOUSTON Ammonium and Nitrate Data to NARSTO EPA_SS_HOUSTON Ammonia and Nitric Acid Data. No data values were changed.\r\n\r\nThe Houston Supersite is one of several Supersites that was established in urban areas within the United States by the EPA to better understand the measurement, sources, and health effects of suspended particulate matter (PM). The overall goals were to characterize the composition and identify the sources of PM in Southeastern Texas, to develop and test new methods for characterizing fine PM, and to collect data on the physical and chemical characterization of fine PM that can be used to support exposure and health effects studies.\r\n\r\nNARSTO, which has since disbanded, was a public/private partnership, whose membership spanned across government, utilities, industry, and academe throughout Mexico, the United States, and Canada. 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Through targeted airborne and ground-based observations, DISCOVER-AQ enabled more effective use of current and future satellites to diagnose ground level conditions influencing air quality.\r\n\r\nDISCOVER-AQ employed two NASA aircraft, the P-3B and King Air, with the P-3B completing in-situ spiral profiling of the atmosphere (aerosol properties, meteorological variables, and trace gas species). The King Air conducted both passive and active remote sensing of the atmospheric column extending below the aircraft to the surface. Data from an existing network of surface air quality monitors, AERONET sun photometers, Pandora UV/vis spectrometers and model simulations were also collected. Further, DISCOVER-AQ employed many surface monitoring sites, with measurements being made on the ground, in conjunction with the aircraft. The B200 and P-3B conducted flights in Baltimore-Washington, D.C. in 2011, Houston, TX in 2013, San Joaquin Valley, CA in 2013, and Denver, CO in 2014. These regions were targeted due to being in violation of the National Ambient Air Quality Standards (NAAQS).\r\n\r\nThe first objective of DISCOVER-AQ was to determine and investigate correlations between surface measurements and satellite column observations for the trace gases ozone (O3), nitrogen dioxide (NO2), and formaldehyde (CH2O) to understand how satellite column observations can diagnose surface conditions. DISCOVER-AQ also had the objective of using surface-level measurements to understand how satellites measure diurnal variability and to understand what factors control diurnal variability. Lastly, DISCOVER-AQ aimed to explore horizontal scales of variability, such as regions with steep gradients and urban plumes.","distribution_titles":["Original Metadata"],"harvest_record":"https://catalog.data.gov/harvest_record/13ec0005-bf91-4086-9ab0-9e0a2c847e02","harvest_record_raw":"https://catalog.data.gov/harvest_record/13ec0005-bf91-4086-9ab0-9e0a2c847e02/raw","has_download":true,"has_spatial":true,"identifier":"10.5067/ASDC/SUBORBITAL/DISCOVERAQ_California_MetNav_AircraftInSitu_P3B_Data_1","keyword":["earth-science-atmospheric-pressure-atmosphere-differential-pressure","earth-science-atmospheric-pressure-atmosphere-static-pressure","earth-science-atmospheric-temperature-atmosphere-surface-temperature","earth-science-atmospheric-temperature-atmosphere-upper-air-temperature","earth-science-atmospheric-water-vapor-atmosphere-water-vapor-indicators","earth-science-atmospheric-winds-atmosphere-surface-winds","earth-science-atmospheric-winds-atmosphere-upper-level-winds"],"last_harvested_date":"2026-09-02T00:27:54.000319","organization":{"aliases":[""],"code_repo_exempt":false,"code_repo_url":null,"description":null,"id":"f4ca4614-8901-409b-8553-2e994ad10023","logo":"https://raw.githubusercontent.com/GSA/logo/refs/heads/master/nasa.png","name":"National Aeronautics and Space Administration","organization_type":"Federal Government","slug":"nasa"},"parent_identifier":null,"popularity":1,"publisher":"NASA/LARC/SD/ASDC","slug":"discover-aq-california-deployment-p-3b-aircraft-in-situ-meteorological-and-navigational-da","spatial_centroid":null,"spatial_shape":null,"theme":["Earth Science"],"title":"DISCOVER-AQ California Deployment P-3B Aircraft In Situ Meteorological and Navigational Data","type":"dataset"}],"sort":"last_harvested_date"}