150 Works

CRAWDAD dataset copelabs/usense (v. 2016-03-17)

S. Firdose, L. Lopes, W. Moreira, R. Sofia & P. Mendes
This data set comprises experiments carried out considering four Android devices, each named Usense 2, 3, 4, and 5, respectively. These devices were carried by people sharing the same affiliation during their daily routines (commuting between home and office, going to leisure activities, attending meetings in the office). All the data was collected each and every one minute.

CRAWDAD dataset cu/antenna (v. 2009-05-08)

Eric W. Anderson & Caleb Phillips
We collected signal strength data to derive a parametric model for 2.4 GHz directional antennas.

CRAWDAD dataset cu/lte (v. 2012-05-04)

Erik Bergal, Caleb Phillips & Chingpu Wu
This data was collected at the University of Colorado Boulder. It contains careful point measurements, taken on a 100m equilateral triangular lattice, of the Verizon LTE network.

CRAWDAD dataset microsoft/osdi2006 (v. 2007-05-23)

Ranveer Chandra, Ratul Mahajan, Venkat Padmanabhan & Ming Zhang
The authors gathered a detailed trace of network activity at OSDI 2006 to enable analysis of the behavior of a wireless LAN that is (presumably) heavily used.

CRAWDAD dataset nottingham/cattle (v. 2007-12-20)

Bartosz Wietrzyk & Milena Radenkovic
We performed the field experiments of cattle movement and behavior monitoring at the University of Nottingham's Dairy Centre to collect realistic parameters necessary to develop and evaluate an adequate wireless protocol.

CRAWDAD dataset nyupoly/video (v. 2014-05-09)

Fraida Fund, Cong Wang, Yong Liu, Thanasis Korakis, Michael Zink & Shivendra Panwar
This dataset describes measurements from Dynamic Adaptive Streaming over HTTP (DASH) and WebRTC video services, collected over the GENI WiMAX networks at NYU-Poly and UMass Amherst. These measurements are meant to elucidate the experience of an individual user of these services who is moving at walking speeds through the coverage area of a typical cellular network.

CRAWDAD dataset rice/ad_hoc_city (v. 2003-09-11)

Jorjeta G. Jetcheva, Yih-Chun Hu, Santashil PalChaudhuri, Amit Kumar Saha & David B. Johnson
We acquired several weeklong traces of the movement of the fleet of city buses in Seattle, Washington, on their normal routes providing passenger bus service throughout the city.

CRAWDAD dataset rutgers/capture (v. 2007-04-20)

Kishore Ramachandran, Marco Gruteser, Ivan Seskar, Sachin Ganu & Jing Deng
In an experiment involving two senders and one receiver, we placed a sniffer (wireless NIC in monitor mode) close to each of the senders so as to capture all transmitted MAC frames from each sender.

CRAWDAD dataset sunysb/multi_channel (v. 2009-02-24)

Anand Prabhu Subramanian, Samir R. Das, Jing Cao & Chul Sung
We conduct measurement using two mesh network testbeds in two different frequency bands – 802.11g in 2.4GHz band and 802.11a in 5GHz band.

CRAWDAD dataset uw/sigcomm2004 (v. 2005-08-01)

Maya Rodrig, Charles Reis, Ratul Mahajan, David Wetherall, John Zahorjan & Ed Lazowska
We are trying to understand how well 802.11 networks work in practice and how they can be improved. This dataset includes the traces collected by wireless monitoring and wired monitoring using tcpdump.

CRAWDAD dataset vanderbilt/interferometric (v. 2007-06-06)

Branislav Kusy & Janos Sallai
We collected localization traces from a radio interferometric tracking system, which is implemented on mote-class wireless sensor nodes.

CRAWDAD dataset ilesansfil/wifidog (v. 2015-11-06)

Michael Lenczner & Anne G. Hoen
This data set contains user session traces which were collected from a large number of free Wi-Fi hotspots in Montreal, Quebec, Canada for six years.

CRAWDAD dataset coppe-ufrj/RioBuses (v. 2018-03-19)

Daniel Dias & Luís Henrique Maciel Kosmalski Costa
Real-time position data reported by buses, updated every minute, from the city of Rio de Janeiro, Brazil. The file is CSV, containing the date, time(24h format), bus ID, bus line, latitude, longitude and speed of more than 12,000 buses.

CRAWDAD dataset iiitd/wifiactivescanning (v. 2019-06-05)

Gursimran Singh, Harish Fulara, Dheryta Jaisinghani, Mukulika Maity, Tanmoy Chakraborty & Vinayak Naik
The dataset includes packet captures collected from controlled experiments with various devices. The dataset captures active scanning behavior of the devices. Name of each folder represents the name of the cause of active scanning. For details please refer to our papers - Learning to Rescue WiFi Networks from Unnecessary Active Scans, WoWMoM 2019.

CRAWDAD dataset it/vr2marketbaiaotrial (v. 2019-09-16)

Ana Aguiar
Dataset that contains simultaneous GPS traces collected at 1 Hz from a team of firefighters during a forest fire exercise. The traces were generated by Android phones placed in each of four firefighters and a generic GPS device placed in the firetruck.

CRAWDAD dataset kth/rss (v. 2016-01-05)

Ramviyas Parasuraman, Sergio Caccamo, Fredrik Baberg & Petter Ogren
This dataset contains the RSS (Radio Signal Strength) data collected with a mobile robot in two environments: indoor (KTH) and outdoor (Dortmund). RSSI metric was used to collect the RSS data in terms of dBm. The mobile robot location was recorded using its odometry (dead reckoning).

CRAWDAD dataset cu/cu_wart (v. 2011-10-24)

Caleb Phillips & Eric W. Anderson
This data was collected by Caleb Phillips at the University of Colorado (CU). It contains RSS measurements (together with GPS data) collected using the CU Wide Area Radio Testbed (CU-WART), which involves seven 802.11 APs with phased array antennas mounted on university buildings.

CRAWDAD dataset cambridge/inmotion (v. 2006-02-01)

Richard Gass, James Scott & Christophe Diot
Dataset of UDP and TCP transfers between a car traveling at speeds from 5 mph to 75 mph, and an 802.11b access point.

CRAWDAD dataset umd/sigcomm2008 (v. 2009-03-02)

Aaron Schulman, Dave Levin & Neil Spring
We collected a trace of wireless network activity at SIGCOMM 2008. The subjects of the traced network chose to participate by joining the traced SSID. The release contains 3 types of anonymized traces: 802.11a, Ethernet and Syslog from the Access Point. We anonymized the trace data using a modified version (http://www.cs.umd.edu/projects/wifidelity/sigcomm08_traces/sigcomm08-tcpmkpub.tar.gz) of the tcpmkpub tool (http://www.icir.org/enterprise-tracing/tcpmkpub.html) The packet traces include anonymized DHCP and DNS headers.

CRAWDAD dataset buffalo/phonelab-wifi (v. 2016-03-09)

Jinghao Shi, Chunming Qiao, Dimitrios Koutsonikolas & Geoffrey Challen
Smartphones perform Wifi scans to adapt to the changing wireless environments causes by mobility. From network monitoring perspective, such scans provide a natural stream of network measurements from client's point of view. In order to see whether such measurements can provide new insights in monitoring large scale wireless networks, we collected the Wifi scan results data, together with other Wifi related logs, from the PhoneLab smartphone testbed over 5 months. All data are collected passively...

CRAWDAD dataset init/factory (v. 2016-06-13)

Dimitri Block, Niels Hendrik Fliedner & Uwe Meier
Measurement of the channel gain for multiple distances within a factory environment

CRAWDAD dataset queensu/crowd_temperature (v. 2015-11-20)

Mohannad A. Alswailim, Hossam S. Hassanein & Mohammad Zulkernine
This dataset is to be used in conjunction with the roma/taxi dataset and provides the outdoor temperature of the areas in Rome where the taxis were located (289 taxicabs over 4 days).

CRAWDAD dataset cister/rssi (v. 2012-05-17)

Claro Noda, Shashi Prabh, Mário Alves, Thiemo Voigt & Carlo Alberto Boano
We use a sensor network composed of TelosB motes deployed in the library building to collect RF energy level samples (RSSI) on all 802.15.4 channels in the 2.4 GHz ISM Band. The building has several collocated Wi-Fi networks in normal operation. These networks produce interference for the 802.15.4 radios. Sensor nodes record RSSI values every 20 us, simultaneously on all channels, for 130 ms and then write the result to the respective files. This process...

CRAWDAD dataset cnu/cdma (v. 2007-09-26)

Youngseok Lee
We collected tcpdump data from a CDMA 1x EV-DO network in South Korea that provides high-speed "always on" Internet connectivity in a wide-area mobile environment.

CRAWDAD dataset columbia/enhants (v. 2011-04-07)

Maria Gorlatova, Michael Zapas, Enlin Xu, Matthias Bahlke, & Gil Zussman
This dataset includes radiant light energy measurements from a study by Columbia University's EnHANTs (Energy Harvesting Active Networked Tags) project.

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