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4 results for “delta wing”
FIGURES 5, 6. 5. Delta esuriens, hind wing without jugal lobe. 6 in Vespidae (Hymenoptera) of the Pothwar region of Punjab, Pakistan
FIGURES 5, 6. 5. Delta esuriens, hind wing without jugal lobe. 6. Polistes wattii, hind wing with jugal lobe.
Figure 1 in Breeding biology and nesting site selection by the spur-winged plover Hoplopterus spinosus in the Evros Delta, NE Greece
Figure 1. Map of the study area.
Figure 2 in Breeding biology and nesting site selection by the spur-winged plover Hoplopterus spinosus in the Evros Delta, NE Greece
Figure 2. Time of egg-laying of the spur-winged plover (N539 egg-layings).
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>. </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. 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 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 type: <a href="https://docs.ros.org/en/melodic/api/sensor_msgs/html/msg/FluidPressure.html">sensor_msgs/FluidPressure</a> ) </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 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 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 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/send - not used</li> <li>/mavros/imu/diff_pressure (ros msg 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 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 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 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 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 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 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 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 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] 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 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 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 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>
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.