Welcome to CRAWDAD
CRAWDAD is the Community Resource for Archiving Wireless Data At Dartmouth,
a wireless network data resource for the research community. This archive
has the capacity to store wireless trace data from many contributing
and staff to develop better tools for collecting, anonymizing, and analyzing
the data. We work with community leaders to ensure that the archive meets
the needs of the research community.
CRAWDAD is grateful to its current and past sponsors.
- New CRAWDAD Data Set - Data concerning social interaction and propinquity based on wireless and bluetooth. - March 10, 2017
A new data set has been added to CRAWDAD:
Data concerning social interaction and propinquity based on wireless and bluetooth.
Contributed by S. Firdose, L. Lopes, W. Moreira, R. Sofia, P. Mendes.
This dataset comprises experiments carried out with the open-source middleware NSense (fomerly named as USense), available at https://github.com/COPELABS-SITI/NSense. The data has been collected based on four sensors: bluetooth; Wi-Fi; microphone; accelerometer. NSense then relies on four different pipelines to compute aspects such as relative distance (Wi-Fi); social strength (based on bluetooth contact duration); sound activity level; motion. We set up experiments making use of Samsung Galaxy S3 devices. For each experiment, there is the following set of data files: - SocialProximity.dat has three columns: Timestamp, DeviceName, Encounter Duration, Average Encounter Duration, Social Strength (Per hour) and Social Strength(Per minute) towards DeviceName - DistanceOutput.dat has three columns: Timestamp, DeviceName, and Distance towards DeviceName - Microphone.dat has two columns: Timestamp, and Soundlevel(QUIET, NORMAL, ALERT and NOISY) - PhysicalActivity.dat has two columns: Timestamp, and Activity as STATIONARY, WALKING and RUNNING There are two tracesets. A first traceset has been collected relying on a first NSense version in 2015. Then, a second traceset has been collected in 2016, with a refined version of NSense. In all tracesets, devices have been carried around by people that share the same affiliation during their individual daily routines (24 hour periods).
If you use these data, please let us know, and you can use the DOI 10.15783/C7D885 to cite. BibTeX and RIS are provided on the website.
- new CRAWDAD dataset - wireless contacts traces from Android smartphones - October 30, 2016
A new dataset has been added to CRAWDAD.
Trace of wireless contacts, social connections, and user interests,
performed in an academic environment for 63 days, with 72 participants
Contributed by Radu I. Ciobanu, Ciprian Dobre.
Wireless contacts trace collected at the University Politehnica
of Bucharest in the spring of 2012, using an application entitled
HYCCUPS Tracer (http://hyccups.hpc.pub.ro), with the purpose of
collecting contextual data from Android smartphones. It was run
in the background and collected availability and mobile
interaction information such as usage statistics, user activity,
battery statistics, or sensor data, but it also gathered
information about a device's encounters with other nodes or with
wireless access points. Encounter collection was performed using
AllJoyn. The data was collected by constructing and deleting
wireless sessions using the AllJoyn framework based on
WiFi. Tracing was executed asynchronously. The duration of the
tracing experiment was 63 days, between March and May 2012, and
had 72 participants, out of which only 42 had at least one
contact. By analyzing the participants' Facebook profiles, the
social connections matrix was extracted, as well as the users'
interests. The trace (and others from the CRAWDAD collection) is
parsed within the MobEmu simulator (used in all UPB's papers),
publicly available at https://github.com/raduciobanu/mobemu.
If you use these data, please let us know, and you can use the DOI
10.15783/C7TG7K to cite. BibTeX and RIS are provided on the website.
- new CRAWDAD dataset - Haggle traces converted for ONE simulator - August 30, 2016
A new dataset has been added to CRAWDAD.
Contributed by Dimitrios-Georgios Akestoridis.
This dataset contains seven connectivity traces that have been derived
from the cambridge/haggle/imote traceset (v. 2009-05-29). These
connectivity traces can be used for network simulations with the
Opportunistic Network Environment (ONE) simulator, since they are in
accordance with the syntax of the StandardEventsReader format. The
Python scripts that generated these connectivity traces are also
If you do use these data, please let us know, and you can use the DOI
10.15783/C7Z884 to do so. BibTeX and RIS are provided on the website.
Note #1: this dataset is derived from another dataset. We have trawled
the DataCite data archiving schema (http://schema.datacite.org/ for
those who are interested) and believe that everything is proper. So if
you have used CRAWDAD datasets to create other datasets (e.g.,
converted datasets into other formats, or derived encounter traces
from access point measurements, or combined datasets together), then
please get in touch as it would be good to share these with the
Note #2: there is an electrical upgrade at Dartmouth this week so the
main crawdad server may be inaccessible. Try http://uk.crawdad.org/
if the main site doesn't work.