*.csv.gz

These datasets are part of Community Resource for Archiving Wireless Data (CRAWDAD). CRAWDAD began in 2004 at Dartmouth College as a place to share wireless network data with the research community. Its purpose was to enable access to data from real networks and real mobile users at a time when collecting such data was challenging and expensive. The archive has continued to grow since its inception, and starting in summer 2022 is being housed on IEEE DataPort.

Questions about CRAWDAD? See our CRAWDAD FAQ. Interested in submitting your dataset to the CRAWDAD collection? Get started, by submitting an Open Access Dataset.

This data set contains 6 months of mobile phone records of German Green party politician Malte Spitz, stored by Deutsche Telekom in 2009-2010.

date/time of measurement start: 2009-08-31

date/time of measurement end: 2010-02-27

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Encounter records of a group of participants carrying sensor motes and their social network data generated from Facebook data.

This is a dataset of sensor mote encounter records and corresponding social network data of a group of participants at University of St Andrews. 

date/time of measurement start: 2008-02-15

date/time of measurement end: 2008-04-29

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This dataset contains mobility and connectivity traces extracted from GPS traces collected from the regional Fire Department of Asturias, Spain.

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

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.

date/time of measurement start: 2014-01-01

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Mobile data collected using the Netalyzr for Android App.

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Round-trip Time-of-flight Measurements from a supermarket.

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This dataset contains 15 years of data about IT-vacancies from 2006 to 2020 downloaded from hh.ru using their public API. This site contains about 3 million vacancy descriptions posted by mainly Russian companies.

This dataset can be used for analyzing trends in IT or for creating new educational programs.

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