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Thank you for accessing the data set used for the study 'Smartphone scanning is a reliable and accurate alternative to
contemporary residual limb measurement techniques'. Included are four .xls files, which were used to arrive at the 
results and conclusions of the study. Below is a brief description of each file.

Smartphone Scanning Data
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|- Compiled_Environment_Data.xlsx
|- Compiled_Participant_Data.xlsx
|- Reliability_and_Validity_Data.xlsx
|- RMSE_Data.xlsx

-Compiled_Environment_Data-
A collection of all scan data gathered using the transtibial plaster-cast model described in the study (Fig. 2). The file
contains all section data pertaining to the perimeter, cross-sectional area, and volume for each environment mentioned in 
S1 Table. These are split into Naive (N) and Optimal (O) datasets. Each application is listed under 'Scan Name', with their
repeated scans labeled 1-3. 'PolycamPG' and 'LumaPG' relate to the web versions of each application discussed.

-Compiled_Participant_Data-
A collection of all scan data gathered from participant residual limbs. This file contains all section data pertaining to 
the perimeter, cross-sectional area, and volume for each participant in the study. These are split into Naive (N) and 
Optimal (O) datasets. Each application is listed under 'Scan Name', with their repeated scans labeled 1-3. 'PolycamPG' and 
'LumaPG' relate to the web versions of each application discussed.

-Reliability_and_Validity_Data-
A compilation of the Participantn Validity and Reliability Data included in the previous dataset, condensed into a dedicated 
file for the readers convenience.

-RMSE_Data-
A collection of all RMSE (Root Mean Squared Error) data collected from participant scans. All scans were compared against a 
baseline Artec scan, and relevant values were collected and stored in this data sheet. Comparisons were made between the tops 
and bottoms (anterior and posterior) sides of the residual limbs. 

For any additional information or clarification regarding the datasets listed, please contact sw2935@bath.ac.uk