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1,321 results for “Navigator”
GPM GROUND VALIDATION UND CITATION NAVIGATION DATA IPHEx V1
The GPM Ground Validation UND Citation Navigation Data IPHEx dataset supplies navigation data collected by the Cessna Citation II aircraft for flights that occurred during March 6, 2014 through June 13, 2014 for the Global Precipitation Measurement Ground Validation Integrated Precipitation and Hydrology Experiment (IPHEx) field campaign in North Carolina. The goal of IPHEx was to evaluate the accuracy of satellite precipitation measurements and use the collected data for hydrology models in the region. The Cessna Citation II Research aircraft, owned and operated by the University of North Dakota (UND), participated in the IPHEx field campaign by serving as an in situ microphysics sampling platform. This navigation dataset consists of final processed files containing records that include flight time, aircraft location (latitude, longitude, and altitude), air temperature, wind speed, and other relevant aircraft parameters in ASCII format.
GOES-R PLT ER-2 Flight Navigation Data
The GOES-R PLT ER-2 Flight Navigation Data dataset consists of multiple altitude, pressure, temperature parameters, airspeed, and ground speed measurements collected by the NASA ER-2 high-altitude aircraft for flights that occurred during the GOES-R Post Launch Test (PLT) field campaign. The GOES-R PLT airborne science field campaign took place between March 21 and May 17, 2017 in support of the post-launch product validation of the Advanced Baseline Imager (ABI) and the Geostationary Lightning Mapper (GLM). ER-2 navigation data files in ASCII-IWG1 format are available for March 21, 2017 through May 17, 2017.
KORUS-AQ DC-8 Aircraft In Situ Meteorological and Navigational Data
KORUSAQ_MetNav_AircraftInSitu_DC8_Data are in-situ meteorological and navigational data collected onboard the DC-8 aircraft during KORUS-AQ. This data product features navigational data for the DC-8 aircraft, along with measurements conducted by the DLH and CLH2. Data collection for this product is complete. The KORUS-AQ field study was conducted in South Korea during May-June, 2016. The study was jointly sponsored by NASA and Korea’s National Institute of Environmental Research (NIER). The primary objectives were to investigate the factors controlling air quality in Korea (e.g., local emissions, chemical processes, and transboundary transport) and to assess future air quality observing strategies incorporating geostationary satellite observations. To achieve these science objectives, KORUS-AQ adopted a highly coordinated sampling strategy involved surface and airborne measurements including both in-situ and remote sensing instruments.Surface observations provided details on ground-level air quality conditions while airborne sampling provided an assessment of conditions aloft relevant to satellite observations and necessary to understand the role of emissions, chemistry, and dynamics in determining air quality outcomes. The sampling region covers the South Korean peninsula and surrounding waters with a primary focus on the Seoul Metropolitan Area. Airborne sampling was primarily conducted from near surface to about 8 km with extensive profiling to characterize the vertical distribution of pollutants and their precursors. The airborne observational data were collected from three aircraft platforms: the NASA DC-8, NASA B-200, and Hanseo King Air. Surface measurements were conducted from 16 ground sites and 2 ships: R/V Onnuri and R/V Jang Mok.The major data products collected from both the ground and air include in-situ measurements of trace gases (e.g., ozone, reactive nitrogen species, carbon monoxide and dioxide, methane, non-methane and oxygenated hydrocarbon species), aerosols (e.g., microphysical and optical properties and chemical composition), active remote sensing of ozone and aerosols, and passive remote sensing of NO2, CH2O, and O3 column densities. These data products support research focused on examining the impact of photochemistry and transport on ozone and aerosols, evaluating emissions inventories, and assessing the potential use of satellite observations in air quality studies.
SEAC4RS DC-8 Aircraft In-Situ Meteorological and Navigational Data
SEAC4RS_MetNav_AircraftInSitu_DC8_Data are in-situ meteorological and navigation data collected onboard the DC8 aircraft during the Studies of Emissions and Atmospheric Composition, Clouds and Climate Coupling by Regional Surveys (SEA4CRS) airborne field study. Data collection for this product is complete.Studies of Emissions and Atmospheric Composition, Clouds and Climate Coupling by Regional Surveys (SEAC4RS) airborne field study was conducted in August and September of 2013. The field operation was based in Houston, Texas. The primary SEAC4RS science objectives are: to determine how pollutant emissions are redistributed via deep convection throughout the troposphere; to determine the evolution of gases and aerosols in deep convective outflow and the implications for UT/LS chemistry; to identify the influences and feedbacks of aerosol particles from anthropogenic pollution and biomass burning on meteorology and climate through changes in the atmospheric heat budget (i.e., semi-direct effect) or through microphysical changes in clouds (i.e., indirect effects); and lastly, to serve as a calibration and validation test bed for future satellite instruments and missions.The airborne observational data were collected from three aircraft platforms: the NASA DC-8, ER-2, and SPEC LearJet. Both the NASA DC-8 and ER-2 aircraft were instrumented for comprehensive in-situ and remote sensing measurements of the trace gas, aerosol properties, and cloud properties. In addition, radiative fluxes and meteorological parameters were also recorded. The NASA DC-8 was mostly responsible for tropospheric sampling, while the NASA ER-2 was operating in the lower stratospheric regime. The SPEC LearJet was dedicated to in-situ cloud characterizations. To accomplish the science objectives, the flight plans were designed to investigate the influence of biomass burning and pollution, their temporal evolution, and ultimately, impacts on meteorological processes which can, in turn, feedback on regional air quality. With respect to meteorological feedbacks, the opportunity to examine the impact of polluting aerosols on cloud properties and dynamics was of particular interest.
Ground-Based Global Navigation Satellite System (GNSS) Combined Broadcast Ephemeris Data (30-second sampling, hourly files) from NASA CDDIS
This dataset consists of ground-based Global Navigation Satellite System (GNSS) Combined Broadcast Ephemeris Data (hourly files of all distinct navigation messages received in one day) from the NASA Crustal Dynamics Data Information System (CDDIS). GNSS provide autonomous geo-spatial positioning with global coverage. GNSS data sets from ground receivers at the CDDIS consist primarily of the data from the U.S. Global Positioning System (GPS) and the Russian GLObal NAvigation Satellite System (GLONASS). Since 2011, the CDDIS GNSS archive includes data from other GNSS (Europe’s Galileo, China’s Beidou, Japan’s Quasi-Zenith Satellite System/QZSS, the Indian Regional Navigation Satellite System/IRNSS, and worldwide Satellite Based Augmentation Systems/SBASs), which are similar to the U.S. GPS in terms of the satellite constellation, orbits, and signal structure. The hourly GNSS broadcast ephemeris files contain one day of mixed GNSS navigation (30-second sampling) data in RINEX format from a global permanent network of ground-based receivers, one file per site. More information about these data is available on the CDDIS website at https://cddis.nasa.gov/Data_and_Derived_Products/GNSS/hourly_30second_data.html.
FIREX-AQ ER-2 In-Situ Meteorological and Navigational Data
FIREXAQ_MetNav_AircraftInSitu_ER2_Data_1 are meteorological and navigational data collected onboard the Earth Resources-2 (ER-2) aircraft during the Fire Influence on Regional to Global Environments Experiment - Air Quality (FIREX-AQ) Campaign. Completed during summer 2019, FIREX-AQ used a combination of instrumented airplanes, satellites, and ground-based instrumentation. Specifically, data was collected by the NASA Airborne Science Data Telemetry (NASDAT) System on the ER-2 platform. Data collection for this product is complete. Completed during summer 2019, FIREX-AQ utilized a combination of instrumented airplanes, satellites, and ground-based instrumentation. Detailed fire plume sampling was carried out by the NASA DC-8 aircraft, which had a comprehensive instrument payload capable of measuring over 200 trace gas species, as well as aerosol microphysical, optical, and chemical properties. The DC-8 aircraft completed 23 science flights, including 15 flights from Boise, Idaho and 8 flights from Salina, Kansas. NASA’s ER-2 completed 11 flights, partially in support of the FIREX-AQ effort. The ER-2 payload was made up of 8 satellite analog instruments and provided critical fire information, including fire temperature, fire plume heights, and vegetation/soil albedo information. NOAA provided the NOAA-CHEM Twin Otter and the NOAA-MET Twin Otter aircraft to measure chemical processing in the lofted plumes of Western wildfires. The NOAA-CHEM Twin Otter focused on nighttime plume chemistry, from which data is archived at the NASA Atmospheric Science Data Center (ASDC). The NOAA-MET Twin Otter collected measurements of air movements at fire boundaries with the goal of understanding the local weather impacts of fires and the movement patterns of fires. NOAA-MET Twin Otter data will be archived at the ASDC in the future. Additionally, a ground-based station in McCall, Idaho and several mobile laboratories provided in-situ measurements of aerosol microphysical and optical properties, aerosol chemical compositions, and trace gas species. The FIREX-AQ campaign was a NOAA/NASA interagency intensive study of North American fires to gain an understanding on the integrated impact of the fire emissions on the tropospheric chemistry and composition and to assess the satellite’s capability for detecting fires and estimating fire emissions. The overarching goal of FIREX-AQ was to provide measurements of trace gas and aerosol emissions for wildfires and prescribed fires in great detail, relate them to fuel and fire conditions at the point of emission, characterize the conditions relating to plume rise, and follow plumes downwind to understand chemical transformation and air quality impacts.
Ground-Based Global Navigation Satellite System (GNSS) High-rate GPS Broadcast Ephemeris Data (sub-hourly files) from NASA CDDIS
This dataset consists of ground-based Global Navigation Satellite System (GNSS) GPS Broadcast Ephemeris Data (sub-hourly files) from the NASA Crustal Dynamics Data Information System (CDDIS). GNSS provide autonomous geo-spatial positioning with global coverage. GNSS data sets from ground receivers at the CDDIS consist primarily of the data from the U.S. Global Positioning System (GPS) and the Russian GLObal NAvigation Satellite System (GLONASS). Since 2011, the CDDIS GNSS archive includes data from other GNSS (Europe’s Galileo, China’s Beidou, Japan’s Quasi-Zenith Satellite System/QZSS, the Indian Regional Navigation Satellite System/IRNSS, and worldwide Satellite Based Augmentation Systems/SBASs), which are similar to the U.S. GPS in terms of the satellite constellation, orbits, and signal structure. The sub-hourly GPS broadcast ephemeris files contain 15 minutes of GPS broadcast navigation data in RINEX format from a global permanent network of ground-based receivers, one file per 15 minutes per site. More information about these data is available on the CDDIS website at https://cddis.nasa.gov/Data_and_Derived_Products/GNSS/high-rate_data.html.
GRIP GLOBAL HAWK NAVIGATION AND HOUSEKEEPING DATA V1
The GRIP Global Hawk Navigation and Housekeeping data was collected from August 15, 2010 to September 24, 2010 during the Genesis and Rapid Intensification Processes (GRIP) field campaign. The major goal was to better understand how tropical storms form and develop into major hurricanes. The Global Hawk is an unmanned Airborne System configured with in situ and remote sensing instruments, including the Lightning Imaging Package (LIP), High Altitude Wind and Rain Profiler (HIWRAP), and High Altitude MMIC Sounding Radiometer (HAMSR). Data was collected for 7 dates and is in the IWGADTS IWG1 format. The dataset also includes XML files containing metadata documenting the parameters and their format collected during each day's flight.
Ground-Based Global Navigation Satellite System Combined Broadcast Ephemeris Data (daily files) from NASA CDDIS
This dataset consists of ground-based Global Navigation Satellite System (GNSS) Combined Broadcast Ephemeris Data (daily files of all distinct navigation messages received in one day) from the NASA Crustal Dynamics Data Information System (CDDIS). GNSS provide autonomous geo-spatial positioning with global coverage. GNSS data sets from ground receivers at the CDDIS consist primarily of the data from the U.S. Global Positioning System (GPS) and the Russian GLObal NAvigation Satellite System (GLONASS). Since 2011, the CDDIS GNSS archive includes data from other GNSS (Europe’s Galileo, China’s Beidou, Japan’s Quasi-Zenith Satellite System/QZSS, the Indian Regional Navigation Satellite System/IRNSS, and worldwide Satellite Based Augmentation Systems/SBASs), which are similar to the U.S. GPS in terms of the satellite constellation, orbits, and signal structure. The daily GNSS broadcast ephemeris files contain one day of mixed GNSS navigation (30-second sampling) data in RINEX format from a global permanent network of ground-based receivers, one file per site. More information about these data is available on the CDDIS website at https://cddis.nasa.gov/Data_and_Derived_Products/GNSS/daily_30second_data.html.
Global Navigation Satellite System (GNSS) IGS Ultra-Rapid Combined Earth Rotation Parameters (ERP) Product from NASA CDDIS
This derived product set consists of Global Navigation Satellite System Ultra-Rapid Earth Rotation Product (ERP) from the NASA Crustal Dynamics Data Information System (CDDIS). GNSS provide autonomous geo-spatial positioning with global coverage. GNSS data sets from ground receivers at the CDDIS consist primarily of the data from the U.S. Global Positioning System (GPS) and the Russian GLObal NAvigation Satellite System (GLONASS). Since 2011, the CDDIS GNSS archive includes data from other GNSS (Europe’s Galileo, China’s Beidou, Japan’s Quasi-Zenith Satellite System/QZSS, the Indian Regional Navigation Satellite System/IRNSS, and worldwide Satellite Based Augmentation Systems/SBASs), which are similar to the U.S. GPS in terms of the satellite constellation, orbits, and signal structure. Analysis Centers (ACs) of the International GNSS Service (IGS) retrieve GNSS data on regular schedules to produce GNSS Earth Rotation products. The IGS Analysis Center Coordinator (ACC) uses these individual AC solutions to generate the official IGS ultra-rapid combined ERP products. The ultra-rapid ERP combination is a sub-daily solution, released four times per day, at 03:00, 09:00, 15:00, and 21:00 UTC (prior to GPS week 1267 they were released twice daily). IGS ultra-rapid ERP files are to be used with the IGS ultra-rapid orbit solution files. All ERP solution files utilize the IGS ERP format.
Aeolus CalVal Meteorological and Navigational
Aeolus-CalVal-MetNav_DC8_1 is the Aeolus CalVal Meteorological and Navigational data product. Data was collected using the Global Positioning System (GPS) instrument on the Douglas (DC-8) Aircraft. Data collection for this product is complete. NASA conducted an airborne campaign from 17 April to 30 April 2019 to: 1) demonstrate the performance of the Doppler Aerosol WiNd Lidar (DAWN) and High Altitude Lidar Observatory (HALO) instruments across a range of aerosol, cloud, and weather conditions; 2) compare these measurements with the European Space Agency Aeolus mission to gain an initial perspective of Aeolus performance in preparation for a future international Aeolus Cal/Val airborne campaign; and 3) demonstrate how weather processes can be resolved and better understood through simultaneous airborne wind, water vapor (WV), and aerosol profile observations, coupled with numerical model and other remote sensing observations. Five NASA DC-8 aircraft flights, comprising 46 flight hours, were conducted over the Eastern Pacific and Southwest U.S., based out of NASA Armstrong Flight Research Center in Palmdale, CA and Kona, HI. Yankee Environmental Systems, Inc High Definition Sounding System (HDSS) eXpendable Digitial Dropsondes (XDD) were used to validate the DAWN and Aeolus wind observations. The LaRC Diode Laser Hygrometer instrument, which was integrated on the DC-8 in preparation for another NASA airborne campaign, provided in-situ WV measurements used during one flight to validate HALO and dropsonde WV profile products.
Ground-Based Global Navigation Satellite System High-rate Mixed Broadcast Ephemeris Data (sub-hourly files) from NASA CDDIS
This dataset consists of ground-based Global Navigation Satellite System (GNSS) Mixed Broadcast Ephemeris Data (sub-hourly files) from the NASA Crustal Dynamics Data Information System (CDDIS). GNSS provide autonomous geo-spatial positioning with global coverage. GNSS data sets from ground receivers at the CDDIS consist primarily of the data from the U.S. Global Positioning System (GPS) and the Russian GLObal NAvigation Satellite System (GLONASS). Since 2011, the CDDIS GNSS archive includes data from other GNSS (Europe’s Galileo, China’s Beidou, Japan’s Quasi-Zenith Satellite System/QZSS, the Indian Regional Navigation Satellite System/IRNSS, and worldwide Satellite Based Augmentation Systems/SBASs), which are similar to the U.S. GPS in terms of the satellite constellation, orbits, and signal structure. The sub-hourly GNSS broadcast ephemeris files contain 15 minutes of mixed multi-GNSS navigation (1-second sampling) data in RINEX format from a global permanent network of ground-based receivers, one file per 15 minutes per site. More information about these data is available on the CDDIS website at https://cddis.nasa.gov/Data_and_Derived_Products/GNSS/high-rate_data.html.
Autonomous Deep-Space Optical Navigation Project
<p>Every one of the future exploration architectures being considered by NASA have, at their core, the need to rendezvous and dock with other vehicles or bodies.&nbsp; Future manned vehicles need to be able to do so with both cooperative and uncooperative vehicles and objects.&nbsp; To this end, the sensors being considered are all optical-based.&nbsp; In fact, passive sensors, such as IR cameras and visual cameras, are at the heart of any exploration architecture.&nbsp; There is a need for the onboard systems to be able to use the images provided by these sensors to rendezvous and dock/capture these objects.&nbsp; Therefore, this project will develop this capability to operate around a variety of objects, without a priori knowledge of their geometry.&nbsp; In particular, a technology called &lsquo;optical flow&rsquo; or &lsquo;visual odometry&rsquo; (VO), will be harnessed to develop a robust on-board capability using passive sensors; of course, if active sensors are available, they will be used as well. In fact, we will also apply this technique to navigating around a cratered object (such as an asteroid). This project will enhance the Agency&rsquo;s ability to operate at distant locations, without the need for ground intervention.</p><p>To date, all of the on-board navigation development performed has focused on either Low Earth Orbit (LEO) or Low Lunar Orbit (LLO).&nbsp; We seek to advance deep-space navigation technology by focusing this Internal Research and Development (IRAD) upon rendezvous and navigation in a weak gravity environment, either at Lagrangian point 2 (L2) or around an asteroid.&nbsp; Of course, this will apply to any destinations that have a strong gravity field as well.&nbsp; As well, the technology developed in this Internal Research and Development will apply to rendezvousing with vehicles such as ISS.&nbsp; We choose to focus our IRAD effort on the navigation algorithms and software for the ARCM DRO Mission, thus broadening our scope, maintaining our cutting-edge capability, and advancing US manned space exploration.&nbsp; The goal is to be flexible enough to meet the needs of the NASA vision, as it applies to any destination the Agency chooses to embark upon.</p><p>&nbsp;</p>
Mitochondrial homeostasis of endocrine organ navigates nutrient restriction checkpoint
GEO Series GSE267248. Drosophila melanogaster. 9 samples. Type: Expression profiling by high throughput sequencing.
Anti-PD-1 re-navigates concealed IL-15 to rejuvenate tumor-specific PD-1+CD8+T cells inside the tumor microenvironment
GEO Series GSE212545. Mus musculus. 6 samples. Type: Expression profiling by high throughput sequencing.
Prince Henry the Navigator -Infante Dom Henrique
Modelo do Infante D. Henrique para impressão 3D. Estou a criar uma série de figuras históricas Portuguesas, apoia o projecto em: patreon.com/frederico4d O modelo foi criado com referência em várias representações históricas, mas não é uma reprodução de uma peça histórica especifica. EN: "Prince Henry the Navigator was the central figure in the early days of the Portuguese Empire and in the 15th-century European maritime discoveries and maritime expansion." This model is based on several historical models but it is not a reproduction or scan of any specific piece. Download model and more info on My patreon page link on the top! Source: Objaverse 1.0 / Sketchfab
The Accuracy of Static Navigation Systems and Robotic System in Partially Edentulous in Posterior Area
ClinicalTrials.gov study NCT06173921. IPD Sharing: NO. Countries: 0. Publications: 0.
Clinical Evaluation of the CARTO™ XP EP Navigation System v9 and Biosense Webster SOUNDSTAR 3D Diagnostic Ultrasound. A Feasibility Study
ClinicalTrials.gov study NCT00449085. IPD Sharing: Not stated. Countries: 0. Publications: 0.
Safety and Efficacy of Electromagnetic Navigation System Assisted Percutaneous Endoscopic Lumbar Decompression
ClinicalTrials.gov study NCT05270486. IPD Sharing: UNDECIDED. Countries: 0. Publications: 0.
CT-guided Needle Guidance Using Stereotaxic Unit, Navigation Versus Conventional Biopsy Technique for the Percutaneous Pulmonary Nodule Biopsy
ClinicalTrials.gov study NCT03321994. IPD Sharing: Not stated. Countries: 0. Publications: 0.
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
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DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.