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This dataset provides a comprehensive set of side channels from fused deposition modeling 3D printers in order to enable the research in the security of additive manufacturing processes against side channel attacks. These attacks exploit indirect signal emanations from physical processes to extract information about a system. Our data was collected using two different methods (iPhone app and Teensy 4.0 sensor system) on two different 3D printers (Bambu Lab P1P and A1 mini), and consists of two types of data, audio data in the form of the recording of the 3D printer's sound while printing, and vibration data in the form of the linear acceleration in the cartesian coordinates. The dataset includes data from 12 different 3D objects that cover a wide variety of movements made while 3D printing. Along with the side channels this dataset includes the source computer-aided design files of the objects, as well as .gcode and .3mf files used by the printers.
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Mobile temperature measurements and surrounding canopy characteristics in downtown Madison, WI, summer 2023
This dataset includes temperature and solar radiation measurements collected by a bicycle-mounted mobile sensor. Measurements were collected along four different transects in downtown neighborhoods in Madison, Wisconsin, over the course of five days during the 2023 summer. In addition to the measurements made by the mobile sensor, this dataset includes attributes of surrounding street trees, impervious cover, and overhead canopy cover, within 15 m, 25 m, and 35 m radii of each measurement location.
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- Award ID(s):
- 2025982
- PAR ID:
- 10572635
- Publisher / Repository:
- Environmental Data Initiative
- Date Published:
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
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