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1,321
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Dataset results
1,321 results for “Navigator”
Intra-operative (IO) Navigation and IO-CBCT for 3D Orbital Reconstruction
ClinicalTrials.gov study NCT03057405. IPD Sharing: NO. Countries: 0. Publications: 0.
Clinical Study and Economic Analysis of an Intraoperative Navigation System for Total Hip Arthroplasty
ClinicalTrials.gov study NCT05416463. IPD Sharing: NO. Countries: 0. Publications: 0.
Nurse Navigation Versus Current Care Coordination During Colorectal Cancer Trajectories
ClinicalTrials.gov study NCT03281447. IPD Sharing: NO. Countries: 0. Publications: 0.
A Prospective Multicenter Randomized Controlled Trial of Flexible And Navigable Suction Ureteral Access Sheath Combined With Needle Perc for the Treatment of Partial Staghorn Renal Calculi
ClinicalTrials.gov study NCT06914986. IPD Sharing: YES. Countries: 0. Publications: 0.
Ground-Based Global Navigation Satellite System (GNSS) GLONASS real-time POD Attitude Quaternions (30-second sampling, 60-second files) from NASA CDDIS
This product contains a time series of attitude quaternion components for healthy satellites in the GLONASS constellation that are accumulated every minute throughout the day. The product is generated at JPL's Global Differential GPS Operations Centers in real-time. The data in this product can be concatenated with other daily products to provide larger coverage in time.
Ground-Based Global Navigation Satellite System (GNSS) Galileo real-time POD Clock Corrections (1-second sampling, 60-second files) from NASA CDDIS
This product contains a time series of clock biases for healthy satellites in the Galileo constellation that are accumulated every minute throughout the day. In addition, formal 1-sigma uncertainties for the corrections are provided. The product is generated at JPL's Global Differential GPS Operations Centers in real-time. The data in this product can be concatenated with other daily products to provide larger coverage in time.
Ground-Based Global Navigation Satellite System (GNSS) GPS real-time POD Orbits (60-second sampling, 60-second files) from NASA CDDIS
This product contains a time series of position and velocity components for healthy satellites in the GPS constellation that are accumulated every minute throughout the day. In addition, formal 1-sigma uncertainties for the positions and velocities are provided. The product is generated at JPL's Global Differential GPS Operations Centers in real-time. The data in this product can be concatenated with other daily products to provide larger coverage in time.
GPM Ground Validation Navigation Data DC-8 OLYMPEX V1
The GPM Ground Validation NASA DC-8 Navigation Data OLYMPEX dataset supplies navigation data collected by the NASA DC-8 aircraft for flights that occurred during November 5, 2015 through December 19, 2015 for the Olympic Mountains Experiment (OLYMPEX) GPM Ground Validation field campaign. This navigation dataset consists of multiple altitude, pressure, temperature, airspeed, and ground speed measurements in ASCII-IWG1 and XML data formats.
Ground-Based Global Navigation Satellite System (GNSS) GLONASS real-time POD Orbits (60-second sampling, 60-second files) from NASA CDDIS
This product contains a time series of position and velocity components for healthy satellites in the GLONASS constellation that are accumulated every minute throughout the day. In addition, formal 1-sigma uncertainties for the positions and velocities are provided. The product is generated at JPL's Global Differential GPS Operations Centers in real-time. The data in this product can be concatenated with other daily products to provide larger coverage in time.
GPM Ground Validation NASA ER-2 Navigation Data OLYMPEX V1
The GPM Ground Validation NASA ER-2 Navigation Data OLYMPEX dataset supplies navigation data collected by the NASA ER-2 aircraft for flights that occurred during November 9, 2015 through December 15, 2015 for one of the GPM Ground Validation field campaigns called the Olympic Mountains Experiment (OLYMPEX). This navigation dataset consists of multiple altitude, pressure, temperature parameters, airspeed, and ground speed measurements in ASCII, ASCII-IWG1, and XML data file formats.
GPM Ground Validation NASA ER-2 Navigation Data IPHEx V1
The GPM Ground Validation NASA ER-2 Navigation Data IPHEx dataset was gathered during the GPM Ground Validation Integrated Precipitation and Hydrology Experiment (IPHEx) in North Carolina. The ER-2 Aircraft flew during the IPHEx field campaign to aid in GPM validation. The science instruments onboard the aircraft acted as a proxy for GPM satellite instruments. Twenty-one ER-2 flights occurred during May 1, 2014 through June 14, 2014. The dataset consists of navigation data, as well as meteorological parameters collected by an on-board navigation recorder every second of the flight. The data are available in ASCII and XML formats.
Global Navigation Satellite System (GNSS) Final Combined Station Positions/Velocities Product from NASA CDDIS
This derived product set consists of Global Navigation Satellite System Final Combined Station Positions/Velocities Product available from the 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 precise orbits identifying the position and velocity of the GNSS satellites as well as precise station positions and velocities for the network of GNSS receivers. The IGS Reference Frame Coordinator uses these individual AC solutions to generate the official IGS station position/velocity product. The final products are considered the most consistent and highest quality IGS solutions and consists of daily and weekly station position and velocity files in SINEX format, generated on a daily/weekly basis by combining solutions from individual IGS ACs, approximately 11-17 days after the end of the solution week.
DC-8 Meteorological and Navigation Data CPEX-AW V1
The DC-8 Meteorological and Navigation Data CPEX-AW dataset is a subset of airborne measurements that include GPS positioning and trajectory data, aircraft orientation, and atmospheric state measurements of temperature, pressure, water vapor, and horizontal winds. These measurements were taken from the NASA DC-8 aircraft during the Convective Processes Experiment – Aerosols & Winds (CPEX-AW) field campaign. CPEX-AW was a joint effort between the US National Aeronautics and Space Administration (NASA) and the European Space Agency (ESA) with the primary goal of conducting a post-launch calibration and validation activities of the Atmospheric Dynamics Mission-Aeolus (ADM-AEOLUS) Earth observation wind Lidar satellite in St. Croix, U.S. Virgin Islands. Data are available from August 17, 2021 through September 4, 2021 in ASCII format.
ATTREX-Aircraft_navigational_and_meteorological_Measurements
ATTREX-Aircraft_navigational_meteorological_Measurements are in-situ navigational and meteorological measurements collected onboard the Global Hawk Unihabited Aerial System (UAS) during the Airborne Tropical TRopopause EXperiment (ATTREX) campaign. This collection consists of in-situ meteorological and navigational properties collected by the Meteorological Measurement System (MMS) 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.
Ground-Based Global Navigation Satellite System (GNSS) Galileo real-time POD Clock Corrections (60-second sampling, 60-second files) from NASA CDDIS
This product contains a time series of clock biases for healthy satellites in the GPS constellation that are accumulated every minute throughout the day. In addition, formal 1-sigma uncertainties for the corrections are provided. The product is generated at JPL's Global Differential GPS Operations Centers in real-time. The data in this product can be concatenated with other daily products to provide larger coverage in time.
SASS (Subsonics Assessment) Ozone and NOx Experiment (SONEX) DC-8 In-Situ Meteorological and Navigation Data
SONEX_TraceGas_AircraftInSitu_DC8_Data_1 is the in-situ meteorological and navigation data collected onboard the DC-8 aircraft during the SASS (Subsonics Assessment) Ozone and NOx Experiment (SONEX) suborbital campaign. Data collection for this product is complete. The SASS (Subsonics Assessment) Ozone and NOx Experiment (SONEX) was an international, multi-organizational mission that took place in October-November 1997. NASA was the US sponsor of SONEX that partnered with POLINAT-2 (Pollution from Aircraft Emissions in the North Atlantic Flight Corridor) funded by the German DLR (Deutsches Zentrum für Luft- und Raumfahrt) or German Aerospace Agency. NASA flew the DC-8 aircraft out of NASA/Ames Research Center. DLR operated an instrumented Falcon 20 aircraft. The staging locations for NAFC sampling were primarily Bangor, Maine (US), and Shannon, Ireland. Subsonic aircraft emissions impact several aspects of atmospheric composition: nitrogen oxides (NOx), CO, and hydrocarbons from emissions can perturb upper tropospheric/lower stratospheric (UT/LS) ozone; water vapor, soot, and sulfur oxides (SOx) emitted by aircraft may perturb clouds and aerosols, changing UT/LS radiative forcing and global temperature. In SONEX and POLINAT, flights were conducted in the vicinity of the North Atlantic Flight Coordinator (NAFC) to observe the impact of aircraft emissions on NOx and ozone (O3). The DC-8 aircraft payload (Singh et al., 1999) primarily measured in-situ CO, CO2, hydrocarbons/halocarbons, O3, aerosols (Dibb et al., 2000), OH/HO2, water vapor, nitric acid (Talbot et al., 1999), photolysis rates, temperature, pressure, winds, NOx, and NOy. Three sampling approaches were implemented during SONEX. First, special meteorological (Fuelberg et al., 2000) were developed to allow targeted sampling for air parcels affected by aircraft emissions and various meteorological events, e.g., convection, lightning (Jeker et al., 2000), stratospheric intrusions (Cho et al., 2000). Second, because the NAFC had not been extensively sampled in the past, it was important for SONEX to characterize the climatology of trace species like CN (Wang et al., 2000), NOx and NOy (Koike et al., 2000). Third, tracers (Simpson et al., 2000; Thompson et al., 1999) and model sensitivity studies (Meijer et al., 2000) were employed for Air Mass Identification. This sampling strategy answered the following questions: Where and when are air masses found with the greatest aircraft influence? When and where was stratospheric air sampled? SONEX showed a substantial impact of aircraft emissions on UT/LS NOx and CN in the vicinity of fresh aircraft emissions. However, during October-November 1997 over the NAFC, UT/LS NOx was dominated by surface emissions redistributed by convection and augmented by lightning.
Ground-Based Global Navigation Satellite System Data (1-second sampling, real-time streams) from NASA CDDIS
Global Navigation Satellite System (GNSS) real-time 1 to multi-second sampled data available from the Crustal Dynamics Data Information System (CDDIS). Global Navigation Satellite System (GNSS) provide autonomous geo-spatial positioning with global coverage. GNSS real-time 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). 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) are similar to the U.S. GPS in terms of the satellite constellation, orbits, and signal structure; CDDIS began streaming real-time data from these systems in 2015. The real-time observation data from a global permanent network of ground-based receivers are transmitted from the CDDIS in 1 to multi-second intervals in raw receiver or RTCM (Radio Technical Commission for Maritime Services) format.
Ground-Based Global Navigation Satellite System (GNSS) Galileo real-time POD Orbits (60-second sampling, 60-second files) from NASA CDDIS
This product contains a time series of position and velocity components for healthy satellites in the Galileo constellation that are accumulated every minute throughout the day. In addition, formal 1-sigma uncertainties for the positions and velocities are provided. The product is generated at JPL's Global Differential GPS Operations Centers in real-time. The data in this product can be concatenated with other daily products to provide larger coverage in time.
Ground-Based Global Navigation Satellite System (GNSS) GPS real-time POD Clock Corrections (60-second sampling, 60-second files) from NASA CDDIS
This product contains a time series of clock biases for healthy satellites in the GPS constellation that are accumulated every minute throughout the day. In addition, formal 1-sigma uncertainties for the corrections are provided. The product is generated at JPL's Global Differential GPS Operations Centers in real-time. The data in this product can be concatenated with other daily products to provide larger coverage in time.
Navigation and Ancillary Information Facility's SPICE
The Navigation and Ancillary Information Facility (NAIF), acting under the directions of NASA's Planetary Science Division, has built an information system named 'SPICE' to assist NASA scientists in planning and interpreting scientific observations from space-borne instruments, and to assist NASA engineers involved in modeling, planning andexecuting activities needed to conduct planetary exploration missions The use of SPICE extends from mission concept development through the post-mission data analysis phase,including help with correlation of individual instrument data sets with those from other instruments on the same or on other spacecraft.
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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)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
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.