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Datasets and tools by keyword: GPS

2019-09-16 it/vr2marketbaiaotrial PT flag
GPS traces collected from a team of firefighters during a forest fire exercise.

Contributed by 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.

2019-07-01 kth/campus SE flag
Dataset of wireless network measurements at the KTH campuses, collected during 2014-2015. DOI: https://doi.org/10.15783/c7-5r6x-4b46

Contributed by Ljubica Pajevic, Gunnar Karlsson, Viktoria Fodor.

The dataset contains records of authenticated user associations to the wireless network of the KTH Royal Institute of Technology in Stockholm. The dataset also includes scan results and mapping information of Wi-Fi networks, collected by means of war-walking at the university's two largest campuses.

2018-03-19 coppe-ufrj/RioBuses BR flag
Dataset of mobility traces of buses in Rio de Janeiro, Brasil

Contributed by 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.

2016-04-12 oviedo/asturies-er ES flag NL flag
This dataset contains ONE connectivity traces extracted from GPS traces collected from the regional Fire Department of Asturias, Spain.

Contributed by Sergio Cabrero, Roberto Garcia, Xabiel G. García, David Melendi.

This dataset contains ONE connectivity traces extracted from GPS traces collected from the regional Fire Department of Asturias, Spain. The original data source is one year of GPS traces extracted from a Geographical Information System (GIS). The traces were generated by GPS devices embedded mainly in cars and trucks, but also in a helicopter and a few personal radios. A total of 229 devices reported 19,462,339 locations. A new location is reported with an interval of approximately 30 seconds when the GPS device detects movement. To convert GPS traces into ONE connectivity traces, we have assumed circular communication ranges of 10, 50 and 200 meters. There is a connection between nodes that are closer than the given range. For simplicity, we assume that the position of a device is always the last position reported. Our analysis show several important findings for the design of network protocols from the physical to the application layer. The networks examined are heterogeneous in the contact duration and the number of nodes contacted (degree centrality). In addition, they are sparse and partitioned, but delay- tolerant routes connecting these partitions exist. Finally, there are patterns in the connection between nodes that can ease the discovery of these routes and the deployment of delay-tolerant services.

2015-12-02 istanbul_technical/rssi TR flag
GSM 900 MHz measurements from a spectrum analyzer combined with GPS measurements taken in an urban macrocell environment.

Contributed by Metin Vural, Saliha Buyukcorak, Gunes Karabulut Kurt.

Our measurement is performed in an urban macrocell environment in the GSM 900 downlink band based on real-life data. By a spectrum analyzer, 5 individual tracks with 10000 measurement data points are obtained. Channel sounding is carried out at a GSM base station located at a height of 6 meters. At every track point measurements are taken in a stationary fashion with 17ms sweep time on the ground level. GPS information is also saved. the signal bandwidth does not exceed the resolution bandwidth of the spectrum analyzer, hence our measurements only include path loss and shadow fading effects Dataset is used in the article "Lognormal Mixture Shadowing".

2015-11-20 queensu/crowd_temperature CA flag
Outdoor temperature data collected by taxis in Rome, Italy.

Contributed by 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).

2014-07-17 roma/taxi IT flag
Dataset of mobility traces of taxi cabs in Rome, Italy.

Contributed by Lorenzo Bracciale, Marco Bonola, Pierpaolo Loreti, Giuseppe Bianchi, Raul Amici, Antonello Rabuffi.

This dataset contains mobility traces of taxi cabs in Rome, Italy. It contains GPS coordinates of approximately 320 taxis collected over 30 days.

2012-01-03 yonsei/lifemap KR flag
Mobility data collected by LifeMap monitoring system at Yonsei University in Seoul.

Contributed by Yohan Chon, Elmurod Talipov, Hyojeong Shin, Hojung Cha.

We deployed our mobility monitoring system, called LifeMap, to collect fine-grained mobility data from commercial mobile phones over two months in Seoul, Korea. The dataset contains location information (latitude and longitude) with accuracy (error bound), Wi-Fi fingerprints (MAC address and signal strength of surrounding Wi-Fi APs), user-defined types of places (workplace, cafeteria, etc.). Our system continuously collected this information every 2 to 5 minutes for everyday location monitoring.

2011-10-24 cu/cu_wart US flag
Dataset of RSS measurements collected at the University of Colorado Wide-Area Radio Testbed.

Contributed by 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.

2011-10-24 pdx/metrofi US flag FR flag
Dataset of coverage and performance-related information of MetroFi, a 802.11x municipal wireless mesh network in Portland, Oregon in 2007.

Contributed by Russell Senior, Caleb Phillips.

This is a dataset of location, signal strength, and performance data of MetroFi, a 802.11x municipal wireless mesh network in Portland, Oregon in 2007. The data was collected by Caleb Phillips and Russell Senior to determine the coverage and performance of the network.

2011-10-12 st_andrews/locshare GB flag
Traceset of a privacy study, including encounters, sharing preferences, and accelerometer readings, conducted at University of St Andrews.

Contributed by Iain Parris, Tristan Henderson, Fehmi Ben Abdesslem.

This is the traceset of a privacy study, including encounters, sharing preferences, and accelerometer readings. The study was conducted in St Andrews and London.

2009-07-23 ncsu/mobilitymodels US flag KR flag
Human mobility data collected from five different sites.

Contributed by Injong Rhee, Minsu Shin, Seongik Hong, Kyunghan Lee, Seongjoon Kim, Song Chong.

We collected human mobilicty traces from five different sites - two university campuses (NCSU and KAIST), New York City, Disney World (Orlando), and North Carolina state fair.

2009-02-24 epfl/mobility CH flag
Dataset of mobility traces of taxi cabs in San Francisco, USA.

Contributed by Michal Piorkowski, Natasa Sarafijanovic-Djukic, Matthias Grossglauser.

This dataset contains mobility traces of taxi cabs in San Francisco, USA. It contains GPS coordinates of approximately 500 taxis collected over 30 days in the San Francisco Bay Area.

2008-10-21 umass/diesel US flag
The bus-based DTN (Disruption-tolerant networks) traces from UMass Amherst campus.

Contributed by John Burgess, John Zahorjan, Ratul Mahajan, Brian Neil Levine, Aruna Balasubramanian, Arun Venkataramani, Yun Zhou, Bruce Croft, Nilanjan Banerjee, Mark Corner, Don Towsley.

This dataset includes the real mobility and real transfers of the bus-based DTN (Disruption-tolerant-network) testbed, called UMassDieselNet, operating from the UMass Amherst campus and the surrounding county.

2008-08-13 dartmouth/cenceme US flag IT flag GB flag
Dataset of sensor data collected by the CenceMe system.

Contributed by Mirco Musolesi, Kristof Fodor, Mattia Piraccini, Antonio Corradi, Andrew Campbell.

CenceMe is a sensing system based on standard and sensor-enabled mobile phones. CenceMe uses the output of the phones' sensors and external data (if such is available) to infer human presence and activity information. This dataset contains movements and inferred activities of participants using CenceMe on their mobile phones.

2008-07-23 up/rf_recordings US flag
Data set of RF recordings of several communication signals captured by a real time spectrum analyzer.

Contributed by Joseph Hoffbeck, Andrew Melton.

In order to be used for examples or projects in communication systems or digital signal processing courses, the radio frequency (RF) signal was recorded from several commercial communication systems and stored in a database. This database contains recordings of radio frequency (RF) signals from several commercial communication systems including AM and FM radio, high definition AM and FM radio, analog and digital TV, Bluetooth, WiFi, GPS, WWV time signal, garage door opener, remote control for toy cars, wireless thermometers, and a wireless serial cable replacement system.

2007-12-20 nottingham/cattle GB flag
Dataset of cattle movement and behavior monitoring collected at the University of Nottingham's Dairy Centre.

Contributed by 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.

2007-09-14 tools/collect/location/loctrace DE flag
Loctrace - a collection tool for 802.11-based positioning systems.

Contributed by Thomas King, Stephan Kopf, Thomas Butter, Hendrik Lemelson, Thomas Haenselmann, Wolfgang Effelsberg.

Loctrace is a research tool for 802.11-based positioning systems. Loctrace gathers data offered by Loclib and stores it in a file.

2007-09-14 tools/collect/location/loclib DE flag
Loclib - a collection tool for 802.11-based positioning systems.

Contributed by Thomas Butter, Wolfgang Effelsberg, Thomas Haenselmann, Stephan Kopf, Thomas King, Hendrik Lemelson.

Loclib is a research tool for 802.11-based positioning systems. Loclib is a connector between applications and sensor hardware. Its task is to collect data from the sensor hardware and pre-process it for further usage.

2007-09-14 tools/analyze/location/loceva DE flag
Loceva - an evaluation tool for 802.11-based positioning systems.

Contributed by Thomas King, Stephan Kopf, Thomas Butter, Hendrik Lemelson, Thomas Haenselmann, Wolfgang Effelsberg.

Loceva is an evaluation tool for 802.11-based positioning systems. Loceva uses trace files generated by Loctrace to evaluate different kinds of positioning algorithms. A large number of state-of-the-art positioning algorithms are supported by Loceva. Loceva contains a lot of filters and generators to set up different scenarios and enable emulation.

2007-09-14 microsoft/vanlan US flag
Dataset of WiFi-based connectivity between basestations and vehicles in urban settings.

Contributed by Ratul Mahajan.

We measured from VanLAN, a modest-size testbed that we have deployed, to analyze the fundamental characteristics of WiFi-based connectivity between basestations and vehicles in urban settings.

2007-09-14 tools/analyze/location/locana DE flag
Locana - a visualization tool for 802.11-based positioning systems.

Contributed by Thomas King, Stephan Kopf, Thomas Butter, Hendrik Lemelson, Thomas Haenselmann, Wolfgang Effelsberg.

Locana is a research tool for 802.11-based positioning systems. Locana visualizes the results computed by Loctrace and Loceva.

2007-06-06 vanderbilt/interferometric US flag
Localization data set collected from a radio interferometric tracking system.

Contributed by Branislav Kusy, Janos Sallai.

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

2007-02-14 princeton/zebranet US flag
Dataset of animal movement traces collected from real-world ZebraNet deployments.

Contributed by Yong Wang, Pei Zhang, Ting Liu, Chris Sadler, Margaret Martonosi.

The data contained in this data set are movement traces collected from two real-world ZebraNet deployments at Sweetwaters Game Reserve near Nanyuki, Kenya. The first deployment was in January 2004 and the second deployment was during summer of 2005. The data offer detailed animal position information using UTM format.

2006-06-02 dartmouth/wardriving US flag
Location-aware dataset for analyzing the errors in location estimates.

Contributed by Minkyong Kim, David Kotz, Jeffrey J. Fielding.

The authors collected the dataset through war driving, i.e., collecting Wi-Fi beacons by driving or walking around Dartmouth Campus, to understand the effect of using estimated AP locations.

2006-05-02 uw/places US flag
Location-aware dataset for extracting significant places.

Contributed by Jong Hee Kang, Gaetano Borriello, William Welbourne, Benjamin Stewart.

Real, long-term data collected from three participants using a Place Lab client, from which the authors extract significant places.

2006-03-15 gatech/vehicular US flag
Dataset for short range communications between vehicles and between vehicle and roadside station.

Contributed by Richard M. Fujimoto, Randall Guensler, Michael P. Hunter, Hao Wu, Mahesh Palekar, Jaesup Lee, Joonho Ko.

This dataset contains the measurement of the performance of short range communications between vehicles and between vehicle and roadside station.

2006-02-01 cambridge/inmotion ES flag
Dataset of UDP and TCP transfers between a moving car and an 802.11b access point.

Contributed by 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.

2004-12-17 intel/placelab US flag
Location-aware dataset collected using Place Lab software.

Contributed by Anthony LaMarca, Yatin Chawathe, Jeffrey Hightower, Gaetano Borriello.

These traces contain 802.11, GSM and GPS trace data collected using Place Lab software, for 3 different neighborhoods in the Seattle metro area. Total trace duration is approximately 2 hours, with around 55,000 total readings.