Dataset: User side acquisition of People-Centric Sensing in the Internet-of-Things

- This archive contains the files submitted to the 2nd International
  Workshop on Data: Acquisition To Analysis (DATA) at SenSys. Files
  provided in this package are associated with the paper titled
  "Dataset: User side acquisition of People-Centric Sensing in the
  Internet-of-Things"

- Content of the package:

  + 1_beacon_table.pkl: The beacon table in Pickle format. It contains
  20612286 data points where each data point represents a Bluetooth
  beacon with 15 attributes as follows: <_id, host_id, ble_address,
  sound_avg_peak, sound_max_peak, sound_count_over_thres_per_frame,
  sound_avg_all, sound_avg_over_thres, temperature, humidity,
  pressure, eco2_ppm, tvoc_ppb, rssi, timestamp>.

  + 2_device_description_table.pkl: The device description table
  provides the mapping between a device's Bluetooth address and its
  physical identity (device_id, description, type).

  + 3_checkin_table.pkl: The check-in table provides a timeseries of
  user interactions with three Android tablets (i.e. tuples of <time,
  host_id, checkpoint device>).

  + 4_sample_beacon_table.pkl: The sample beacon table in Pickle
  format. It contains 1000 data points where each data point
  represents a Bluetooth beacon with 15 attributes as follows: <_id,
  host_id, ble_address, sound_avg_peak, sound_max_peak,
  sound_count_over_thres_per_frame, sound_avg_all,
  sound_avg_over_thres, temperature, humidity, pressure, eco2_ppm,
  tvoc_ppb, rssi, timestamp>.

  + 5_sample_device_description_table.pkl: The sample device description
  table provides the mapping between a device's Bluetooth address and
  its physical identity (device_id, description, type).

  + 6_sample_checkin_table.pkl: The check-in table provides a
  timeseries of user interactions with three Android tablets
  (i.e. tuples of <time, host_id, checkpoint device>).

  + print_table_heads.py: A Python script which fetches Pickle tables
  as DataFrames and prints out the sample entries.

- ACM Reference Format: Chenguang Liu, Jie Hua, Tomasz Kalbarczyk,
  Sangsu Lee, and Christine Julien. 2019. Dataset: User side
  acquisition of People-Centric Sensing in the Internet-of-Things. In
  The 2nd Workshop on Data Acquisition To Analysis(DATA’19), November
  10, 2019, New York, NY, USA. ACM, New York, NY, USA, 3 pages.
  https://doi.org/10.1145/3359427.3361914