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405 results for “flight data”

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nasa20/100

FAST Time-of-Flight Energy, Angle, Mass Spectrograph (TEAMS) Experiment Survey, Key Parameter (K0), PT5S Data

Data are derived from the FAST Time-of-flight Energy Angle Mass Spectrograph, TEAMS, Instrument that determines 3-Dimensional Distribution Functions of individual Ion Species over the Energy Range 1 eV to 12000 eV, within 2.5 s (one-half Spacecraft Spin). The Instrument consists of a toroidal Top-Hat Electrostatic Analyzer with instantaneous Acceptance of Ions over 360° in Polar Angle in 16 Sectors. Ions passing through the Electrostatic Analyzer are postaccelerated by up to 25 kV and then analyzed for Mass per Charge in a foil-based Time-of-Flight Analyzer. The Data used to construct CDF Data Products are derived from the Survey Data. Survey Data consists of four Mass Groups by 48 Energies by 64 Solid Angle Segments. The four Mass Groups are Hydrogen, H+, Oxygen, O+, singly-charged Helium, He+, and doubly-charged Helium, He++. Only the 16 Equatorial Angle Segments are used for the CDF Data Set. Each Equatorial Solid Angle Segment contains two (four) Samples at each Energy in the 32 (64) Sweep/Spin Mode. The full Angular Range is covered in Half of a Spin but the actual Time Resolution of the Survey Data Product depends upon the Telemetry Mode. In the highest Telemetry Mode Rate, Modes H+ and O+ Survey Data are read out every Half Spin. In the lowest Telemetry Mode Rate Mode, these Data are accumulated for four Spins. The minimum Accumulation Time included in the CDF is one Spin, so if the actual Accumulation Time is a Half Spin, two Data Points are averaged. Otherwise, the Full Resolution is included. In every Mode, He+ and He++ are accumulated twice as long as H+ and O+. To force the H+, O+, and He+ to have an equal Number of Data Points when H+ and O+ have twice the Time Resolution, each He+ Data Point is written twice consecutively in the File. The 3-D Plasma Distribution Function Analyzers with Time-of-Flight Mass Discrimination for CLUSTER, FAST,and Equator-S, E. Moebius, L.M. Kistler, M. Popecki, K. Crocker, M. Granoff, Y. Jiang, E. Satori, V. Ye, H. Reme, J.A. Sauvaud, A. Cros, A. Aoustin, T. Camus, J.L. Medale, J. Rouzaud, C.W. Carlson, J. McFadden, D. Curtis, H. Heetdirks, J. Croyle, C. Ingraham, E.G. Shelley, D.M. Klumpar, E. Hertzberg, B. Klecker, M. Ertl, F. Eberl, H. Kaestle, E. Kuenneth, P. Laeverenz, E. Seidenschwang, G. Parks, M. McCarthy, A. Korth, B. Graeve, H. Balsiger, U. Schwab, and M. Steinacher, Measurement Techniques for Space Plasmas: Particles, Geophys. Mono. Ser., 102, 243-248, 1998. The Time-of-Flight Energy, Angle, Mass Spectrograph (TEAMS) Experiment for FAST, D.M. Klumpar, E. Moebius, L.M. Kistler, M. Popecki, E.G. Shelley, E. Hertzberg, K. Crocker, M. Granoff, Li Tang, C.W. Carlson, J. McFadden, B. Klecker, F. Eberl, E. Kuenneth, H. Kaestle, M. Ertl, W.K. Peterson, and D. Hovestadt, Space Sci. Rev., 2001, 98, pages 197-291, doi:10.1023/A:1013127607414.

restrictednotspecifiedApr 2025View details →
nasa20/100

Flight Data For Tail 685

The following zip files contain individual flight recorded data in Matlab file format. There are 186 parameters each with a data structure that contains the following: <pre> -sensor recordings -sampling rate -units -parameter description -parameter ID </pre>

restrictednotspecifiedMar 2025View details →
nasa20/100

MMS 4 Energetic Particle Detector, Energetic Ion Spectrometer (EPD-EIS) Energy by Time of Flight, Level 2 (L2), Burst Mode, 0.605 s Data

Energetic Particle Detector (EPD), Energetic Ion Spectrometer (EIS) Energy by Time of Flight, Level 2, Burst Survey, 0.605 s Data. The EIS provides ion composition measurements (protons versus oxygen ions) and angular distributions over the energy range from approximately 45 to 500 keV.

restrictednotspecifiedAug 2025View details →
nasa20/100

Flight Data For Tail 653

The following zip files contain individual flight recorded data in Matlab file format. There are 186 parameters each with a data structure that contains the following: <pre> -sensor recordings -sampling rate -units -parameter description -parameter ID </pre>

restrictednotspecifiedMar 2025View details →
nasa20/100

Flight Data For Tail 665

The following zip files contain individual flight recorded data in Matlab file format. There are 186 parameters each with a data structure that contains the following: <pre> -sensor recordings -sampling rate -units -parameter description -parameter ID </pre>

restrictednotspecifiedApr 2025View details →
nasa20/100

MMS 1 Energetic Particle Detector, Energetic Ion Spectrometer (EPD-EIS) Energy by Time of Flight, Level 2 (L2), Survey Mode, 2.42 s Data

Energetic Particle Detector (EPD), Energetic Ion Spectrometer (EIS) Energy by Time of Flight, Level 2, Quick-Look Survey, 2.42 s Data. The EIS provides ion composition measurements (protons versus oxygen ions) and angular distributions over the energy range from approximately 45 to 500 keV.

restrictednotspecifiedAug 2025View details →
nasa20/100

Flight Data For Tail 652

The following zip files contain individual flight recorded data in Matlab file format. There are 186 parameters each with a data structure that contains the following: <pre> -sensor recordings -sampling rate -units -parameter description -parameter ID </pre>

restrictednotspecifiedMar 2025View details →
nasa20/100

Flight Data For Tail 682

The following zip files contain individual flight recorded data in Matlab file format. There are 186 parameters each with a data structure that contains the following: <pre> -sensor recordings -sampling rate -units -parameter description -parameter ID </pre>

restrictednotspecifiedMar 2025View details →
nasa20/100

Flight Data For Tail 664

The following zip files contain individual flight recorded data in Matlab file format. There are 186 parameters each with a data structure that contains the following: <pre> -sensor recordings -sampling rate -units -parameter description -parameter ID </pre>

restrictednotspecifiedMar 2025View details →
nasa20/100

Rodent Research-1 (RR1) NASA Validation Flight: Mouse quadriceps muscle transcriptomic, proteomic, and epigenomic data

NASA's Rodent Research (RR) project is playing a critical role in advancing biomedical research on the physiological effects of space environments. Due to the limited resources for conducting biological experiments aboard the International Space Station (ISS), it is imperative to use crew time efficiently while maximizing high-quality science return. NASA's GeneLab project has as its primary objectives to 1) further increase the value of these experiments using a multi-omics, systems biology-based approach, and 2) disseminate these data without restrictions to the scientific community. The current investigation assessed viability of RNA, DNA, and protein extracted from archived RR-1 tissue samples for epigenomic, transcriptomic, and proteomic assays. During the first RR spaceflight experiment, a variety of tissue types were harvested from subjects, snap-frozen or RNAlater-preserved, and then stored at least a year at -80C after return to Earth. They were then prioritized for this investigation based on likelihood of significant scientific value for spaceflight research. All tissues were made available to GeneLab through the bio-specimen sharing program managed by the Ames Life Science Data Archive and included mouse adrenal glands, quadriceps, gastrocnemius, tibialis anterior, extensor digitorum longus, soleus, eye, and kidney. We report here protocols for and results of these tissue extractions, and thus, the feasibility and value of these kinds of omics analyses. In addition to providing additional opportunities for investigation of spaceflight effects on the mouse transcriptome and proteome in new kinds of tissues, our results may also be of value to program managers for the prioritization of ISS crew time for rodent research activities.

restrictednotspecifiedApr 2025View details →
nasa20/100

Flight Data For Tail 686

The following zip files contain individual flight recorded data in Matlab file format. There are 186 parameters each with a data structure that contains the following: <pre> -sensor recordings -sampling rate -units -parameter description -parameter ID </pre>

restrictednotspecifiedApr 2025View details →
nasa20/100

Flight Data For Tail 681

The following zip files contain individual flight recorded data in Matlab file format. There are 186 parameters each with a data structure that contains the following: <pre> -sensor recordings -sampling rate -units -parameter description -parameter ID </pre>

restrictednotspecifiedMar 2025View details →
nasa20/100

Flight Data For Tail 663

The following zip files contain individual flight recorded data in Matlab file format. There are 186 parameters each with a data structure that contains the following: <pre> -sensor recordings -sampling rate -units -parameter description -parameter ID </pre>

restrictednotspecifiedApr 2025View details →
nasa20/100

Rodent Research-1 (RR1) National Lab Validation Flight: Mouse liver transcriptomic proteomic and epigenomic data

The Rodent Reasearch-1 National Lab (RR-1 CASIS) experiment was performed to study the effect of microgravity on muscle wasting. RNA DNA and protein were purified from nine RR-1 CASIS (the Center for the Advancement of Science in Space) liver samples. Groups included: Flight (FLT) dissected on-orbit (21 or 22 days after launch); age-matched Ground Controls (GC); and Basal Controls (BC euthanized at time of launch) with N=3/group. RNA-Seq whole genome BS-Seq (bisulfite sequencing) and proteomic expression profiling were performed.

restrictednotspecifiedMar 2025View details →
nasa20/100

Flight Data For Tail 675

The following zip files contain individual flight recorded data in Matlab file format. There are 186 parameters each with a data structure that contains the following: <pre> -sensor recordings -sampling rate -units -parameter description -parameter ID </pre>

restrictednotspecifiedMar 2025View details →
nasa20/100

Flight Data For Tail 656

The following zip files contain individual flight recorded data in Matlab file format. There are 186 parameters each with a data structure that contains the following: <pre> -sensor recordings -sampling rate -units -parameter description -parameter ID </pre>

restrictednotspecifiedMar 2025View details →
zenodo16/100

Flight data for a conventional fixed wing and delta -wing drone applied to model-based navigation

<p>The following two bags permit the testing of the vehicle dynamic model-based navigation real-time software VDMc available <a href="https://gitlab.epfl.ch/laupre/vdm_c">here</a>.&nbsp;</p> <p><strong>TOPOPlane2_20221027_STIM14.bag</strong></p> <p>Data are saved in a <em>rosbag </em>while flying with the TOPOPlane2 drone on October 2nd, 2022. The <em>_tagged </em>suffix name means that the data come from the autopilot and the time is GNSS time-tagged with an internal routine. The bag contains the following topics:</p> <ul> <li>/GIINAV_POSE - solution of the INS/GNSS software (ros msg type: <a href="https://docs.ros.org/en/noetic/api/nav_msgs/html/msg/Odometry.html">nav_msgs/Odometry</a>)</li> <li>/GPS0 - binary output of the GNSS receiver. &nbsp;These data need to be parsed with the function <em>GNSSReceiver::gpsCallBack</em> in <a href="https://gitlab.epfl.ch/laupre/vdm_c/-/blob/Topoplane2/src/TP2/gnssreceiver.cpp?ref_type=heads">gnssreceiver.cpp</a> (ros msg type: <a href="https://docs.ros.org/en/melodic/api/std_msgs/html/msg/UInt8MultiArray.html">std_msgs/Uint8MultiArray</a>)</li> <li>/IMU0 - binary output of the IMU sensor. These data need to be parsed with the function <em>IMUReceiver::imuCallback</em> in <a href="https://gitlab.epfl.ch/laupre/vdm_c/-/blob/Topoplane2/src/TP2/imureceiver.cpp?ref_type=heads">imureceiver.cpp </a>(ros msg type: <a href="https://docs.ros.org/en/melodic/api/std_msgs/html/msg/UInt8MultiArray.html">std_msgs/Uint8MultiArray</a>)</li> <li>/airData - data from the surrey PitotTube and processed (custom ros msg&nbsp;type: surrey_sensor/AirData, available in <a href="https://gitlab.epfl.ch/laupre/vdm_c/-/blob/Topoplane2/include/AirData.h?ref_type=heads">AirData.h</a>) <ul> <li>GNSS time [s]</li> <li>airSpeed [m/s]</li> <li>baroAltitude [m]</li> <li>density [hPa]</li> </ul> </li> <li>/airpressure_tagged - dynamic air pressure of the PitotTube (Pa) (ros msg&nbsp;type: <a href="https://docs.ros.org/en/melodic/api/sensor_msgs/html/msg/FluidPressure.html">sensor_msgs/FluidPressure</a> )&nbsp;</li> <li>/airspeed_tagged - transformed airspeed [m/s] and groundspeed [m/s] from Pitotube (ros msg type: <a href="https://docs.ros.org/en/noetic/api/mavros_msgs/html/msg/VFR_HUD.html">mavros_msgs/VFR_HUD</a>)</li> <li>/cc_tagged - control commands tagged with GNSS time (ros msg&nbsp;type: <a href="https://docs.ros.org/en/noetic/api/mavros_msgs/html/msg/RCOut.html">mavros_msgs/RCout</a>) <ul> <li>header, channels (autopilot value from 1000 to 2000). The conversion is done in the function CCReceiver::ccCallback in <a href="https://gitlab.epfl.ch/laupre/vdm_c/-/blob/Topoplane2/src/TP2/ccreceiver.cpp?ref_type=heads">ccreceiver.cpp</a> [aileron elevator rpm rudder]</li> </ul> </li> <li>/mavros/debug_value/debug_vector - This custom vector is used to exchange data from/to the Ground Control Station (GCS). It contains the solution of the INS/GNSS (Giinav) and VDMNav (ros msg&nbsp;type: <a href="https://docs.ros.org/en/noetic/api/mavros_msgs/html/msg/DebugValue.html">mavros_msgs/DebugValue</a>)</li> <li>/mavros/debug_value/named_value_float - Topic used to trigger the real-time simulated GNSS outage from the GCS (ros msg&nbsp;type: <a href="https://docs.ros.org/en/noetic/api/mavros_msgs/html/msg/DebugValue.html">mavros_msgs/DebugValue</a>)&nbsp;</li> <li>/mavros/debug_value/send - not used</li> <li>/mavros/imu/diff_pressure (ros msg&nbsp;type: <a href="https://docs.ros.org/en/melodic/api/sensor_msgs/html/msg/FluidPressure.html">sensor_msgs/FluidPressure</a>)</li> <li>/mavros/imu/static_pressure (ros msg&nbsp;type: <a href="https://docs.ros.org/en/melodic/api/sensor_msgs/html/msg/FluidPressure.html">sensor_msgs/FluidPressure</a>)</li> <li>/mavros/rc/out - control commands tagged with autopilot (system) time (ros msg&nbsp;type: <a href="https://docs.ros.org/en/noetic/api/mavros_msgs/html/msg/RCOut.html">mavros_msgs/RCout</a>)</li> <li>/mavros/wind_estimation - autopilot estimation of the wind (ros msg&nbsp;type: <a href="https://docs.ros.org/en/melodic/api/geometry_msgs/html/msg/TwistWithCovarianceStamped.html">geometry_msgs/TwistWithCovarianceStamped</a>)</li> <li>/surrey - raw data from the surrey PitotTube (custom ros msg&nbsp;type: surrey_sensor/Surrey, available in <a href="https://gitlab.epfl.ch/laupre/vdm_c/-/blob/Topoplane2/include/Surrey.h?ref_type=heads">Surrey.h</a>)</li> <li>/timeSync - mapping from autopilot time and GNSS time to tag the data autopilot data (*<em>_tagged</em>) with GNSS time (ros msg&nbsp;type: <a href="https://docs.ros.org/en/melodic/api/std_msgs/html/msg/Float32MultiArray.html">std_msgs/Float32MultiArray</a>)</li> </ul> <p><strong>concordeS_20230601.bag</strong></p> <p>These data are generated in a <em>formatted </em>version using the recorded flight with the ConcordeS1 drone on June 1st, 2023. The bag contains the following topics:</p> <ul> <li>/airData - data from the PitotTube (custom ros msg&nbsp;types: surrey_sensor/AirData, available from <a href="https://gitlab.epfl.ch/laupre/vdm_c/-/blob/Topoplane2/include/AirData.h?ref_type=heads">AirData.h</a>) <ul> <li>GNSS time [s]</li> <li>airSpeed [m/s]</li> <li>baroAltitude [m]</li> <li>density [hPa]</li> </ul> </li> <li>/cc_formatted - control commands (ros msg&nbsp;type: <a href="https://docs.ros.org/en/melodic/api/std_msgs/html/msg/Float64MultiArray.html">std_msgs/Float64MultiArray</a>) <ul> <li>data :[GNSS time [s], rpm [normalized value from autopilot channel 0-1000], LeftDeflection [degree], RightDeflection [degree]]</li> </ul> </li> <li>/giinav_formatted - INS/GNSS solution, used to initialize the in-flight VDM-based navigation filter (ros msg&nbsp;type: <a href="https://docs.ros.org/en/noetic/api/nav_msgs/html/msg/Odometry.html">nav_msgs/Odometry</a>) <ul> <li>pose: <ul> <li>position (WGS84) [x(lat) [rad], y(long) [rad], z(alt) [m]]</li> <li>orientation (NED) [x y z w] &nbsp;in quaternion</li> </ul> </li> <li>twist: <ul> <li>linear (NED) [x [m/s], y [m/s], z [m/s]]</li> <li>angular (body) [x [degree/s], y [degree/s], z [degree/s]]</li> </ul> </li> </ul> </li> <li>/gnss_formatted - GNSS position and velocity (ros msg&nbsp;type: <a href="https://docs.ros.org/en/noetic/api/nav_msgs/html/msg/Odometry.html">nav_msgs/Odometry</a>) <ul> <li>pose: <ul> <li>position (WGS84) [x(lat) [rad], y(long) [rad], z(alt) [m]]</li> <li>orientation - null</li> </ul> </li> <li>twist: <ul> <li>linear (NED) [x [m/s], y [m/s], z [m/s]]</li> <li>angular - null</li> </ul> </li> </ul> </li> <li>/imu_formatted - a triplet of accelerometer and gyroscope (ros msg&nbsp;type: <a href="https://docs.ros.org/en/noetic/api/sensor_msgs/html/msg/Imu.html">sensors_msgs/IMU</a>) <ul> <li>header</li> <li>orientation (NED) (quaternion) [x y z w]</li> <li>orientation_covariance</li> <li>angular_velocity (body) [degree/s] [x y z]</li> <li>angular_velocity_covariance</li> <li>linear_acceleration (body) [m/s2] [x y z]</li> <li>linear_<em>acceleration</em>_covariance</li> </ul> </li> <li>/toggleOnOffGnss - Simulate the activation of the GNSS outage for testing purposes (ros msg&nbsp;type: <a href="https://docs.ros.org/en/noetic/api/std_msgs/html/msg/Bool.html">std_msgs/Bool</a>)</li> </ul> <p>In addition, there is a complete example of VDMc with TOPOPLANE2 in the <strong>TOPOPlane2_20220826_STIM13.zip</strong> file. It contains</p> <ul> <li>The VDMc code in the vdm_c folder that you can run</li> <li>The input data: TP2_20220825_outage382606_120sbaro.bag, which contains the rosbag from the STIM13 flight, performed on August 25th, 2022</li> <li>The compilation and execution of the code is explained at : https://gitlab.epfl.ch/laupre/vdm_c/-/wikis/Installation</li> </ul>

restrictedcc-by-4.0Dec 2023View details →
nasa16/100

OMEGA FLIGHT EXPERIMENT DATA RECORDS FROM FIRST MISSION EXT

N/A

restrictedus-pdApr 2025View details →
nasa16/100

OMEGA FLIGHT EXPERIMENT DATA RECORDS FROM FIRST MISSION EXT

N/A

restrictedus-pdMar 2025View details →
nasa16/100

OMEGA FLIGHT EXPERIMENT DATA RECORDS FROM FIRST MISSION EXT

N/A

restrictedus-pdMar 2025View details →

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neuroscienceopenDocumentation, web resources, and API references are available online.
Last verified 2026-04-30Open record

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DANDI Archive for NWB datasets

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dandi-nwb
electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
Last verified 2026-04-30Open record

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.

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behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.
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OpenNeuro

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Last verified 2026-04-29Open record