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1,548 results for “Trajectories”
VG2 NEP TRAJECTORY DERIV SUMM HELIOGRAPHIC COORDS 48SEC V1.0
This dataset contains Voyager 2 position vectors relative to the Sun in both cartesian and spherical Heliographic coordinates for the time period when Voyager was near Neptune but not within its magnetosphere. The magnetospheric gap in this dataset occurs from 1989-08-25 02:00 -> 1989-08-26 00:00. Spacecraft position vectors are given in Neptune Longitude System (NLS) coordinates in this interval. The position vectors are given every 48 seconds. The units of the vector components are Au and degrees. Vectors are stored as 4-byte floating point values.
GALILEO EARTH1 TRAJECTORY V1.0
This dataset contains the Galileo spacecraft trajectory during the Earth 1 flyby. The data have been derived from SPICE kernels at a 1 minute sample rate. The data are provided in both Geocentric Solar Ecliptic (GSE) and Geocentric Solar Magnetic (GSM) coordinates and are given in units of earth radii where 1 Re = 6378 km.
GALILEO ORBITER V POS VENUS TRAJECTORY V1.0
Galileo Orbiter 60 second sampled trajectory data from the Venus flyby in Venus Solar Orbital (VSO) coordinates. These data cover the interval 1990-02-09 00:00 to 1990-02-11 00:00.
Heliocentric Trajectories Web Services API at the Space Physics Data Facility (SPDF)
The Heliocentric Trajectories Web services allow a software developer to use portions of the HelioWeb data in their own application. The Space Physics Data Facility (SPDF) is the archive of non-solar data for the Heliospheric Science Division (HSD) at NASA's Goddard Space Flight Center.
VG2 NEP TRAJECTORY DERIVED SUMM NLS COORDS 12SEC V1.0
This dataset contains Voyager 2 spacecraft position vectors relative to Neptune in minus NLS coordinates. The NLS or Neptune West Longitude System coordinate system is a planetocentric system fixed to Neptune which is rotating with a 16.11 hour period.
LP MOON SPACECRAFT TRAJECTORY V1.0
Trajectory data for the Lunar Prospector spacecraft in Selenographic, SSE, GSE, and GSM coordinates. Dataset covers dates 1998-01-16 to 1999-07-29.
GALILEO EARTH2 TRAJECTORY V1.0
This dataset contains the Galileo spacecraft trajectory during the Earth 2 flyby. The data have been derived from SPICE kernels at a 1 minute sample rate. The data are provided in both Geocentric Solar Ecliptic (GSE) and Geocentric Solar Magnetic (GSM) coordinates and are given in units of earth radii where 1 Re = 6378 km.
Trajectory Clustering and an Application to Airspace Monitoring
This paper presents a framework aimed at monitoring the behavior of aircraft in a given airspace. Trajectories that constitute typical operations are determined and learned using data driven methods. Standard procedures are used by air traffic controllers (ATC) to guide aircraft, ensure the safety of the airspace, and to maximize the runway occupancy. Even though standard procedures are used by ATC, the control of the aircraft remains with the pilots, leading to a large variability in the flight patterns observed. Two methods to identify typical operations and their variability from recorded radar tracks are presented. This knowledge base is then used to monitor the conformance of current operations against operations previously identified as typical. A tool called AirTrajectoryMiner is presented, aiming at monitoring the instantaneous health of the airspace, in real time. The airspace is “healthy” when all aircraft are flying according to the typical operations. A measure of complexity is introduced, measuring the conformance of current flight to typical flight patterns. When an aircraft does not conform, the complexity increases as more attention from ATC is required to ensure a safe separation between aircraft.
Trajectory Clustering with Applications to Airspace Monitoring
This paper presents a framework aimed at monitoring the behavior of aircraft in a given airspace. Trajectories that constitute typical operations are determined and learned using data-driven methods. Standard procedures are used by air traffic controllers (ATCs) to guide aircraft, ensure the safety of the airspace, and maximize runway occupancy. Even though standard procedures are used by ATCs, control of the aircraft remains with the pilots, leading to large variability in the flight patterns observed. Two methods for identifying typical operations and their variability from recorded radar tracks are presented. This knowledge base is then used to monitor the conformance of current operations against operations previously identified as typical. A tool called AirTrajectoryMiner is presented, aiming at monitoring the instantaneous health of the airspace, in real time. The airspace is “healthy” when all aircraft are flying according to typical operations. A measure of complexity is introduced, measuring the conformance of current flight to typical flight patterns. When an aircraft does not conform, the complexity increases as more attention from ATC is required to ensure safe separation between aircraft. IEEE Transactions on Intelligent Transportation Systems, Dec. 2011, 12(4), pp. 1511 - 1524.
Navigating high-order protein mutational landscapes via deep learning on directed evolution trajectories
GEO Series GSE315318. Mesocricetus auratus. 8 samples. Type: Other.
scRNA-seq and snATAC-seq reveal differentiation trajectories of several pancreatic islet induction protocols
GEO Series GSE275610. Homo sapiens. 341 samples. Type: Expression profiling by high throughput sequencing; Genome binding/occupancy profiling by high throughput sequencing.
Different developmental trajectories of ovaries in Siberian hamsters raised in long and short day lengths
GEO Series GSE50869. Phodopus sungorus; Mus musculus. 16 samples. Type: Expression profiling by array.
Interconnected lineage trajectories link conventional and NK-like exhausted CD8+ T cells beneficial in T1D [P362-1]
GEO Series GSE237611. Homo sapiens. 24 samples. Type: Expression profiling by high throughput sequencing; Other.
ScRNA-seq trajectory analysis of Th17, Tfh17, and exTh17-Tfh cells
GEO Series GSE290034. Mus musculus. 1 samples. Type: Expression profiling by high throughput sequencing.
Decoding Functional and Developmental Trajectories of Tissue-Resident Uterine Dendritic Cells Through Integrative Omics
GEO Series GSE288249. Homo sapiens. 1 samples. Type: Expression profiling by high throughput sequencing.
Single-cell transcriptome profiling reveals developmental trajectory and regulatory networks of mouse maxillary prominence
GEO Series GSE161131. Mus musculus. 35 samples. Type: Expression profiling by high throughput sequencing; Genome binding/occupancy profiling by high throughput sequencing.
Functional dissection of lymphoid progenitor compartments resolves developmental trajectories in B-lymphocyte development
GEO Series GSE114793. Mus musculus. 3 samples. Type: Expression profiling by high throughput sequencing.
Single cell RNA trajectory analysis reveals a CD9 positive cell state to contribute to exit from stem cell-like and embryonic diapause states and transit to drug resistant states
GEO Series GSE221183. Homo sapiens. 4 samples. Type: Expression profiling by high throughput sequencing.
High-dimensional analysis of single neurosphere molecular states reveals an ethanol-mediated shift in distribution along maturation trajectories
GEO Series GSE167604. Mus musculus. 264 samples. Type: Expression profiling by RT-PCR.
Single cell RNA-sequencing reveals cellular heterogeneity and trajectories of wheat root tip.
GEO Series GSE222422. Triticum aestivum. 1 samples. Type: Expression profiling by high throughput sequencing.
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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.
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DANDI Archive for NWB datasets
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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.