10.25380/iastate.8018588.v1
Susan Vanderplas
Susan
Vanderplas
Alicia Carriquiry
Alicia
Carriquiry
James Kruse
James
Kruse
Guillermo Basulto-Elias
Guillermo
Basulto-Elias
Stacy Renfro
Stacy
Renfro
Longitudinal Shoe Study: 2D Scan Images
Iowa State University
2019
athletic shoes
shoe wear
longitudinal data
shoeprints
statistical forensics
Forensic Statistics
2019-11-26 15:09:53
Dataset
https://iastate.figshare.com/articles/dataset/Longitudinal_Shoe_Study_2D_Scan_Images/8018588
Images of 160 shoe prints (“Nike Winflo 4” or “Adidas Seeley”; 4 sizes each) made using a 2D digital scanner (EverOS EverSpry) with associated measurements and data about shoe wear, surfaces, and wearers.<br><br>Each pair of shoes was worn for at least 10,000 steps per week over a 6-month period, with multiple measurements of the shoe soles taken initially and during three check-in periods spaced at approximately 5 week intervals.<br><br>The images are accompanied by 3 CSV files describing the shoes, visit (information collected from surveys along with the shoes), and individual images. The codebooks contain descriptions of the variables in each of the CSV files as well as a more extensive description of the file naming scheme outlined in the README.<br><br>These files can be used to examine wear pattern development, to look for the presence of identifying characteristics among shoes with similar features, and to develop algorithms for matching shoes based on individualizing characteristics. <br>