READ ME File For 'Dataset for Publication: "Wearable Sensor System for Monitoring Atopic Dermatitis in Patients"'

Dataset DOI: 10.5258/SOTON/D3507

Date that the file was created: May, 2025

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GENERAL INFORMATION
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ReadMe Author: Alexandar R. Todorov, University of Southampton 0000-0002-6126-753X

Date of data collection: July - December, 2024

Information about geographic location of data collection: 
Data was collected/created in the United Kingdom in Southampton.

Related projects:
EP/T517859/1

Data was collected as part of the NOMAD study, ethics approval: 
NRES 330915

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SHARING/ACCESS INFORMATION
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Licenses/restrictions placed on the data, or limitations of reuse:
CC BY

This dataset supports the publication:
AUTHORS: Alexandar R. Todorov, Huanghao Dai, Emily Ko, Russel N. Torah, Michael R. Ardern-Jones, Stephen P. Beeby
TITLE: Wearable Sensor System for Monitoring Atopic Dermatitis in Patients
JOURNAL: IEEE Sensors Journal
PAPER DOI IF KNOWN:

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DATA & FILE OVERVIEW
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This dataset contains:
[WearSystemIDCforAD.zip] - folder containing all individual data files.
[readme.txt] - description and instructions on how to interpret the data.

Structure: Within "WearSystemIDCforAD.zip" there are:
	- IDCsensor_GUI.py // Source code for GUI
	- IDCsensor_Firmware.ino // Source code for firmware to control the XIAO ESP32 MCU
	- SensorCharacterisationData/: // Each csv corresponds to figure in the paper
		- Fig7_RH_CapChange.csv 
		- Fig6_CalTest_Cap&Press_day1.csv 
		- Fig6_CalTest_Cap&Press_day2.csv 
		- Fig6_CalTest_Cap&Press_day3.csv 
	- PatientData/: // All of the patient sensor, corneometer and TEWL data. Python scripts correspond to the figure in the paper.
		- lesional_sensor.csv 
		- lesional_corneo.csv 
		- lesional_TEWL.csv
		- nonlesional_sensor.csv 
		- nonlesional_corneo.csv 
		- nonlesional_TEWL.csv
		- Fig9a_ScriptForPlotting.py 
		- Fig9b_ScriptForPlotting.py 
		- Fig9c_ScriptForPlotting.py 
		- Fig9d_ScriptForPlotting.py
		- lesional_sensor_P8_S-09.csv // Repeatability tests on Patient Number 8 (ID S-09)
		- nonlesional_sensor_P8_S-09.csv // Repeatability tests on Patient Number 8 (ID S-09)
		- PatientNumbering.txt

Instructions: 
The data used for all figures in the publication is located here in csv files. For the sensor characterisation all data /
is separated by the figures used in, clearly labeled using the csv name. For the PatientData, a combined csv file for /
each is created - sensor, corneometer and TEWL, and for lesional and non-lesional skin respectively. Then the .py scrips /
used for creating the figures are presented, each labeled using the csv name. In the patient data, the names on the columns /
reflect the study ID number of each patient as set by the NOMAD study. In the publication these ID numbers are replaced with /
the numbers 1-13 for easier referencing. A txt file called PatientNumbering.txt is presented which reveals which study ID numbers /
correspond to which patient numbers. Finally the repeated tests for patient number 8 (study ID S-09) are included. 
 
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METHODOLOGICAL INFORMATION
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Description of methods used for collection/generation of data:
The data was collected/created through the following means:
	- FDC2214 TI Capacitance to Digital Converter built on a custom IDC device
	- TE-03 TH temperature and humidity data logging probe
	- Corneometer by C+K
	- Tewameter by C+K
	- Pycharm
Methods for processing the data: <describe how the submitted data were generated from the raw or collected data>
	- Python
	- Excel