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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 locations, 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.

 

Recent CRAWDAD News

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CRAWDAD library moved to Zotero - November 20, 2020

We welcome community contributions to a public group library of papers about CRAWDAD datasets -- or about use of CRAWDAD datasets. Please visit the Zotero group library -- anyone can browse the library (free) or add new papers to the library (free registration on Zotero, then join the CRAWDAD group).

New CRAWDAD Data Set - Captured Zigbee packets from commercial smart home devices - May 26, 2020

A new data set has been added to CRAWDAD:

cmu/zigbee-smarthome/20200526

This Carnegie Mellon University dataset contains Zigbee packets that were captured using a software-defined radio (USRP N210). You can use DOI 10.15783/c7-nvc6-4q28 to cite.

DOI 10.15783/c7-nvc6-4q28 http://doi.org/10.15783/c7-nvc6-4q28

New CRAWDAD Data Set - Dataset of diverse context information (e.g., ambient audio) collected by multiple devices in - April 8, 2020

A new data set has been added to CRAWDAD:

tuda/ubicompzis

The dataset contains 10 types of context information (i.e., audio restricted access, Wi-Fi and Bluetooth Low Energy (BLE) beacons, barometric pressure, humidity, luminosity, temperature, accelerometer, gyroscope, and magnetometer) collected by multiple devices in three scenarios: car, office, and mobile.. You can use DOI 10.15783/c7-n3q8-xr73 to cite.

DOI 10.15783/c7-n3q8-xr73 http://doi.org/10.15783/c7-n3q8-xr73

New CRAWDAD Data Set - Dataset for evaluation of co-presence detection - February 18th, 2020

A new data set has been added to CRAWDAD:

tum/proximityness

A study with 126 subjects, over three months, collecting data from various sensors, that resulted in a multimodal dataset for co-presence detection. We publish a subset of the original data set in the period between 01.06.2018 and 15.06.2018 including Wi-Fi scans as proximity verification set, magnetometer as sensor data, the positions of Wi-Fi access points, and magnetometer's sensor hardware

DOI 10.15783/c7-x43g-h794 http://doi.org/10.15783/c7-x43g-h794