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    <responseDate>2026-10-16T01:09:45Z</responseDate>
    <request verb="GetRecord" identifier="oai:data.mendeley.com/tggb5kvj6s.1" metadataPrefix="oai_dc">https://data.mendeley.com/oai</request>
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            <header>
                <identifier>oai:data.mendeley.com/tggb5kvj6s.1</identifier>
                <datestamp>2025-03-26T07:55:54Z</datestamp>
            </header>
            <metadata><oai_dc:dc xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">
    <dc:creator>Raddwan, Basheer</dc:creator>
    <dc:title>UAV Mobility Tracing in 72 Urban Environments</dc:title>
    <dc:publisher>Mendeley Data</dc:publisher>
    <dc:description>This data is collected using Panda5gSim, which is available on GitHub: https://github.com/yemenlinux/panda5gsim

It contains 3D transformations and ray-tracing Line-of-Sight (LoS) conditions between two Unmanned Aerial Vehicles (UAVs) and ten ground mobile users.

The data is collected by generating 72 synthetic urban environments based on ITU-R P.1410 urban configuration.

Number of runs: 3 for each scenario.

Scenario number 1: files started with &quot;no_buildings*&quot;

Scenario number 2: files started with &quot;with_buildings*&quot;

Number of environments in each file: 72.

Each urban environment is simulated for 120 seconds.

Fields:

Column Name  : Description

Time : Time stamp 

RxNode : Receiver’s (mobile ground user) name.

TxNode : Transmitter’s or UAV&apos;s (airborne access point) name.

RayLoS : Ray-tracing LoS for the omnidirectional antenna.

dRayLoS : Ray-tracing LoS for the 3GPP directional antenna.

nBuildings : Number of buildings between UAV and ground user.

v_rx : Velocity of mobile ground user.

v_tx : Velocity of UAV (airborne access point).

phi : The azimuth (heading) angle between the transmitter and the receiver.

theta : The elevation (pitch) angle between the transmitter and the receiver.

d3D : The direct distance in 3D space between the transmitter and the receiver.

d2D : The horizontal projection of the distance between the transmitter and the receiver.

Gain : The antenna gain for the 3GPP directional antenna is calculated by the relative transformations of the receiver as seen from the transmitter.

Transforms : The transformation tuple. The transformation tuple contains the following: (1) the receiver’s transformation; (2) the transmitter’s transformation; (3) the relative transformation of the receiver as seen from the transmitter; (4) the receiver’s identification; (5) the transmitter’s identification.

h : The height difference between the receiver and the transmitter.

Environment : The environment name is formatted as (Urban\_$\alpha$\_$\beta$\_$\gamma$).</dc:description>
    <dc:subject>Wireless Communication</dc:subject>
    <dc:subject>Unmanned Aerial Vehicle (Space Vehicle)</dc:subject>
    <dc:subject>Urban Mobility</dc:subject>
    <dc:subject>5G</dc:subject>
    <dc:type>Dataset</dc:type>
    <dc:identifier>doi:10.17632/tggb5kvj6s.1</dc:identifier>
    <dc:identifier>oai:data.mendeley.com/tggb5kvj6s.1</dc:identifier>
    <dc:rights>Creative Commons Attribution 4.0 International</dc:rights>
    <dc:rights>http://creativecommons.org/licenses/by/4.0</dc:rights>
    <dc:relation>https://data.mendeley.com/datasets/tggb5kvj6s</dc:relation>
    <dc:date>2025-03-26T07:55:54Z</dc:date>
</oai_dc:dc></metadata>
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