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Dataset results
282 results for “data engineering”
ROSETTA ORBIT CONTROL MANOEUVRE ENGINEERING DATA
This CODMAC level 3 data set contains the key parameters of the Orbit Control Manouevres and the Thruster based Reaction Control Subsystem. In particular, it provides information on the Orbit Control Manoeuvre measured impulse, acceleration and disturbance torques. It also provides Housekeeping data from the Thruster based Reaction Control Subsystem covering areas such as # of on-cycles. It covers the period from launch in 2004, through the 3 Earth and 1 Mars flyby, plus the hibernation phases, plus the asteroid flybys and finally covers the Prelanding, comet escort & Extension phases of the prime target of the mission. The prime target is comet 67P/Churyumov-Gerasimenko 1 (1969 R1). This version V1.0 is the first version of this dataset.
ROSETTA THERMAL CONTROL SYSTEM ENGINEERING DATA
This CODMAC level 3 data set contains the key parameters of the TCS. In particular, it provides information on the Thermal Control System data registered for numerous instruments, antennas & subsystems present on the spacecraft external surfaces. It covers the period from launch in 2004, through the 3 Earth and 1 Mars flyby, plus the hibernation phases, plus the asteroid flybys and finally covers the Prelanding, comet escort & Extension phases of the prime target of the mission. The prime target is comet 67P/Churyumov-Gerasimenko 1 (1969 R1). This version V1.0 is the first version of this dataset.
ROSETTA REACTION WHEEL ENGINEERING DATA
This CODMAC level 3 data set contains the key parameters of the four Reaction wheel housekeeping. In particular, it provides information on the Reaction wheel friction, measured angular momentum & wheel direction. It covers the period from launch in 2004, through the 3 Earth and 1 Mars flyby, plus the hibernation phases, plus the asteroid flybys and finally covers the Prelanding, comet escort & Extension phases of the prime target of the mission. The prime target is comet 67P/Churyumov-Gerasimenko 1 (1969 R1). This version V1.0 is the first version of this dataset.
ROSETTA SOLAR ARRAY AND POWER ENGINEERING DATA
This CODMAC level 3 data set contains the key parameters of the SA and Power Housekeeping. In particular, it provides information on the SA (mis)alignment, incidence angle & displacement errors as well as information on the Power subsystem units which include the Master bus voltage, currents etc. It covers the period from launch in 2004, through the 3 Earth and 1 Mars flyby, plus the hibernation phases, plus the asteroid flybys and finally covers the Prelanding, comet escort & Extension phases of the prime target of the mission. The prime target is comet 67P/Churyumov-Gerasimenko 1 (1969 R1). This version V1.0 is the first version of this dataset.
GLAS/ICESat L1A Global Engineering Data (HDF5) V033
Level-1A global engineering data (GLAH03) include satellite housekeeping data used to calibrate data values for GLA01 and GLA02.
GLAS/ICESat L1A Global Engineering Data (HDF5) V033
Level-1A global engineering data (GLAH03) include satellite housekeeping data used to calibrate data values for GLA01 and GLA02.
ROSETTA NAVIGATION CAMERA ENGINEERING DATA
This CODMAC level 3 data set contains the key parameters of the two Navigation Cameras. In particular, it provides information on operating modes of the prime and backup cameras. The NAVCAM images are provided in a different science dataset to the HK. The Navigation cameras were used continuously during the comet phase but on an irregular basis during the cruise e.g. asteroid flyby. Similarly they were turned on much later than other instruments and subsystems on board after launch. It covers the period from launch in 2004, through the 3 Earth and 1 Mars flyby, plus the hibernation phases, plus the asteroid flybys and finally covers the Prelanding, comet escort & Extension phases of the prime target of the mission. The prime target is comet 67P/Churyumov-Gerasimenko 1 (1969 R1). This version V1.0 is the first version of this dataset.
ROSETTA STARTRACKER ENGINEERING DATA
This CODMAC level 3 data set contains the key parameters of the STR Housekeeping (STR A and STR B). In particular, it provides information on the operating mode, # of tracked stars, angular velocity, mean & Std Dev background, star coordinates & magnitudes. It covers the period from launch in 2004, through the 3 Earth and 1 Mars flyby, plus the hibernation phases, plus the asteroid flybys and finally covers the Prelanding, comet escort & Extension phases of the prime target of the mission. The prime target is comet 67P/Churyumov-Gerasimenko 1 (1969 R1). This version V1.0 is the first version of this dataset.
CMAPSS Jet Engine Simulated Data
Data sets consists of multiple multivariate time series. Each data set is further divided into training and test subsets. Each time series is from a different engine i.e., the data can be considered to be from a fleet of engines of the same type. Each engine starts with different degrees of initial wear and manufacturing variation which is unknown to the user. This wear and variation is considered normal, i.e., it is not considered a fault condition. There are three operational settings that have a substantial effect on engine performance. These settings are also included in the data. The data is contaminated with sensor noise. The engine is operating normally at the start of each time series, and develops a fault at some point during the series. In the training set, the fault grows in magnitude until system failure. In the test set, the time series ends some time prior to system failure. The objective of the competition is to predict the number of remaining operational cycles before failure in the test set, i.e., the number of operational cycles after the last cycle that the engine will continue to operate. Also provided a vector of true Remaining Useful Life (RUL) values for the test data. The data are provided as a zip-compressed text file with 26 columns of numbers, separated by spaces. Each row is a snapshot of data taken during a single operational cycle, each column is a different variable. The columns correspond to: 1) unit number 2) time, in cycles 3) operational setting 1 4) operational setting 2 5) operational setting 3 6) sensor measurement 1 7) sensor measurement 2 ... 26) sensor measurement 26 Data Set: FD001 Train trjectories: 100 Test trajectories: 100 Conditions: ONE (Sea Level) Fault Modes: ONE (HPC Degradation) Data Set: FD002 Train trjectories: 260 Test trajectories: 259 Conditions: SIX Fault Modes: ONE (HPC Degradation) Data Set: FD003 Train trjectories: 100 Test trajectories: 100 Conditions: ONE (Sea Level) Fault Modes: TWO (HPC Degradation, Fan Degradation) Data Set: FD004 Train trjectories: 248 Test trajectories: 249 Conditions: SIX Fault Modes: TWO (HPC Degradation, Fan Degradation) Reference: A. Saxena, K. Goebel, D. Simon, and N. Eklund, ‘Damage Propagation Modeling for Aircraft Engine Run-to-Failure Simulation’, in the Proceedings of the 1st International Conference on Prognostics and Health Management (PHM08), Denver CO, Oct 2008.
ROSETTA ATTITUDE & ORBIT CONTROL SYSTEM ENGINEERING DATA
This CODMAC level 3 data set contains the key parameters of the AOCMS. In particular, it provides information on the Attitude & Orbit Control Management System operating modes as well as Wheel offloading data. It covers the period from launch in 2004, through the 3 Earth and 1 Mars flyby, plus the hibernation phases, plus the asteroid flybys and finally covers the Prelanding, comet escort & Extension phases of the prime target of the mission. The prime target is comet 67P/Churyumov-Gerasimenko 1 (1969 R1). This version V1.0 is the first version of this dataset.
MISR Level 1A Engineering Data file Type 1 V002
MI1AENG1_2 is the Multi-angle Imaging SpectroRadiometer (MISR) Level 1A Engineering Data file Type 1 version 2. It is the Reformatted Annotated Level 1A product for the camera Engineering data, which represents indicators of sampled measurements for that MISR instrument. This product provides all of the data needed to describe the state of the instrument for Level 1 processing and analysis at a later date. These data are composed primarily of temperatures, voltages and currents of each camera, the optical bench, calibration diodes, and system electronics. Verification and reporting flags for latches and limit-switches on the cover/goniometer and the calibration diffuser panels are also incorporated into these data. The MISR instrument consists of nine pushbroom cameras which measure radiance in four spectral bands. Global coverage is achieved in nine days. The cameras are arranged with one camera pointing toward the nadir, four cameras pointing forward, and four cameras pointing aftward. It takes seven minutes for all nine cameras to view the same surface location. The view angles relative to the surface reference ellipsoid, are 0, 26.1, 45.6, 60.0, and 70.5 degrees. The spectral band shapes are nominally Gaussian, centered at 443, 555, 670, and 865 nm.
HUYGENS ENGINEERING DATA
The Huygens Atmospheric Instrument is one of the six experiment onboard the Huygens probe. HASI is a muultisensor package designed to measure the physical quantities characterizing Titan's atmosphere during entry and descent phase and at the surface.
Propulsion Health Monitoring of a Turbine Engine Disk using Spin Test Data
On line detection techniques to monitor the health of rotating engine components are becoming increasingly attractive options to aircraft engine companies in order to increase safety of operation and lower maintenance costs. Health monitoring remains a challenging feature to easily implement, especially, in the presence of scattered loading conditions, crack size, component geometry and materials properties. The current trend, however, is to utilize noninvasive types of health monitoring or nondestructive techniques to detect hidden flaws and mini cracks before any catastrophic event occurs. These techniques go further to evaluate materials' discontinuities and other anomalies that have grown to the level of critical defects which can lead to failure. Generally, health monitoring is highly dependent on sensor systems that are capable of performing in various engine environmental conditions and able to transmit a signal upon a predetermined crack length, while acting in a neutral form upon the overall performance of the engine system. Efforts are under way at NASA Glenn Research Center through support of the Intelligent Vehicle Health Management Project (IVHM) to develop and implement such sensor technology for a wide variety of applications [1-5]. These efforts are focused on developing high temperature, wireless, low cost and durable products.Therefore, in an effort to address the technical issues concerning health monitoring of a rotor disk, this paper considers data collected from an experimental study using high frequency capacitive sensor technology to capture blade tip clearance and tip timing measurements in a rotating engine-like-disk-to predict the disk faults and assess its structural integrity. The experimental results collected at a range of rotational speeds from tests conducted at the NASA Glenn Research Center's Rotordynamics Laboratory will be evaluated using multiple data-driven anomaly detection techniques [6-9] to identify anomalies in the disk. This study is expected to present a select evaluation of online health monitoring of a rotating disk using these high caliber sensors and test the capability of the in-house spin system.
ROSETTA HIGH GAIN ANTENNA ENGINEERING DATA
This CODMAC level 3 data set contains the key parameters of the HGA Housekeeping. In particular, it provides information on the measured Azimuth & Elevation angles, as well as different pointing errors and displacement errors. It covers the period from launch in 2004, through the 3 Earth and 1 Mars flyby, plus the hibernation phases, plus the asteroid flybys and finally covers the Prelanding, comet escort & Extension phases of the prime target of the mission. The prime target is comet 67P/Churyumov-Gerasimenko 1 (1969 R1). This version V1.0 is the first version of this dataset.
Automated rodent kidney decellularization for 3D tissue engineering - raw data
<p>The purpose of this study was to improve an introduced decellularization technique closer to clinical scale. Therefore, automation was established to guarantee a rapid, standardized and safe production of bioscaffolds. Our observations are documented with these raw data.</p>
Transcriptome (RNASeq) data of engineered human 293 cell with compromised subcellular NAD availability
GEO Series GSE255209. Homo sapiens. 13 samples. Type: Expression profiling by high throughput sequencing.
Expression data from human cornea epithelial and stromal cells and tissue-engineered anterior lamelar corneas
GEO Series GSE86584. Homo sapiens. 6 samples. Type: Expression profiling by array.
Data_The importance of target product engineering for long-term operation of CO2 zero-gap electrolysers
<p>The folder contains the processed data of figures 2, 3, 4, 5, 6, 7, 8, S9, S14, S15, S16, S17, S18 and S19 that appear in:</p> <p>Duarte, M.; Hereijgers, J.; Daems, N.; van Daele, S.; Breugelmans, T. The Importance of Target Product Engineering for Long-Term Operation of CO2zero-Gap Electrolysers. J Environ Chem Eng 2022, 10 (3). https://doi.org/10.1016/j.jece.2022.107836.</p>
Expression data from tumors generated from genome-engineered mice
GEO Series GSE75435. Mus musculus. 6 samples. Type: Expression profiling by array.
HUYGENS ACP CALIBRATED ENGINEERING & SCIENCE DATA
This data set is composed of data produced during the descent to Titan on January 14 2005 from the ACP instrument (Engineering data) and also from the GCMS instrument (Science data) which analyses the gaseous products from ACP.
ScienceDex guides
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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.