The first phase of the IEEE Signal Processing Cup 2019 included a bonus task: participants could send their own recordings of drone egonoise to obtain extra points. In robotics, egonoise refers to the noise self-produced by a robot at its acoustic sensors, e.g., by its actuators.
This task was a success, as 10 teams sent very valuable egonoise data. This allowed us to gather a unique database of drone-embedded recordings, which is made publically available here for research and education purpose, as agreed by participating teams.
Please add the following citation to any research paper referring to these data:
Audio-Based Search and Rescue With a Drone: Highlights From the IEEE Signal Processing Cup 2019 Student Competition Antoine Deleforge, Diego Di Carlo, Martin Strauss, Romain Serizel, Lucio Marcenaro, IEEE Signal Processing Magazine 36 (5), 2019. 
Team Idea!_ssu
Drone Model: Quadrotor UAV (Phantom 4 GL300C from DJI)
Number of audio channels: 1
University: Soongsil University (South Korea)
Authors list: Sungbin Im, Beomhee Jang, Donggun Lee, Myeonghun Jeong, Minjae Park, Youngjae Lee, Jinyoung Son
Team Maverick
Drone Model: Quadcopter UAV (YH-19HW from https://amzn.to/2T1bSl3)
Number of audio channels: 4
University: Bangladesh University of Engineering and Technology (Bangladesh)
Authors list: Uday Kamal, Mohammed Abid Abrar, Sabbir Ahmed, Dr Mohammad Kamrul Hasan
Team Diagonal_Unloading
Drone Model: Quadrotor UAV (Phantom 4 PRO by DJI)
Number of audio channels: 16
University: Jade Hochschule (Germany)
Authors list: Fabian Radke, Sebastian Pietsch, Mattes Ohlenbusch, Jörg Bitzer, Bastian Bechtold
Team ChuMS
Drone Model: Custom built UAV (by Dotterel Technologies)
Number of audio channels: 8
University: University of Auckland (New Zealand)
Authors list: Chuan Zhang, Yifei Shen, Xinyuan Wang, Huizheng Wang, Xu Pang, Ziwen Ye, Mingyuan Ding, Lihantang Liu, Huijun Han
Team LEADS_UAV
Drone Model: Quadrotor UAV (Phantom 3 Advanced by DJI)
Number of audio channels: 1
University: Southeast University (China)
Authors list: Chuan Zhang, Yifei Shen, Xinyuan Wang, Huizheng Wang, Xu Pang, Ziwen Ye, Mingyuan Ding, Lihantang Liu, Huijun Han
Team NSS_Chellamma
Drone Model: Self-assembled UAV (see documentation)
Number of audio channels: 1
University: NSS College of Engineering (India)
Authors list: Nandakumar Paramparambath, Nafih Ahammed A A, Sameer A K, Rohith Nair A R, Rohan S Balu, Abhishek P H, Rahul T P, Harikrishnan P A, Vyjayanthi J Shenoy, Gayathri Mayakumar, Akshay V Janakan
Team KumamoTech
Drone Model: Quadrotor UAV (enRoute Zion PG560)
Number of audio channels: 16
University: Tokyo Institute of Technology (Japan)
Authors list: Taiki Yamada, Yuki Onishi, Hidehiko Kishinami, Taichi Hirano, Haruhiro Kume, Rikuto Fukunaga (Kumamoto University), Kazuhiro Nakadai (Honda Research Institute Japan Company Limited)
Team AGH
Drone Model: Quadrotor UAV (unknown)
Number of audio channels: 8
University: AGH University of Science and Technology (Poland)
Authors list: Szymon Woźniak, Jakub Gałka, Piotr Walas, Mateusz Guzik, Mieszko Fraś
KU Leuven Team 1 & Team 2
Drone Model: Quadrotor UAV (MK EASY Quadro V3)
Number of audio channels: 8
University: AGH University of Science and Technology (Poland)
Authors list (Team1): Peter Karsmakers, Pablo Claus, Hannes Rosseel, Sjoske Huijsmans, Pengxuan Han, Xiangyu Wang, Beau Janssens,
Authors list (Team2): Toon van Waterschoot, Mina Mounir, Bram Cuyx, Yorick Kennis, Jincheng Ma, Milan Sanders, Zhiqi Song
Team Shout COOEE!
Drone Model: Intel Aero Ready-To-Fly Drone
Number of audio channels: 8
University: School of Electrical Engineering and Telecommunications, The University of New South Wales (Australia)
Authors list: Ethan Oo, Hayden Ooi, Kevin Yu
