ReMINDS-SPaRAS: customisable environmental sensor, code and results

How to cite this Dataset

Gerrans, James and Sherratt, Robert Simon (2026): ReMINDS-SPaRAS: customisable environmental sensor, code and results. University of Reading. Software. https://doi.org/10.17864/1947.001487

Description

This dataset documents the proposal and evaluation of SPaRAS: a Smart Packaging and Returns Assessment device developed throughout the course of James Gerrans's PhD as a technological solution to enable medicine reuse. This forms the supplementary information for a paper.

This dataset and work carried out during James Gerrans's PhD, including associated publications, is part of the ReMINDS project (http://www.reading.ac.uk/ReMINDS). ReMINDS is an innovative multidisciplinary research project at the University of Reading creating the science and technology behind medication reuse and environmental stewardship in pharmaceutical and clinical settings.

Included in this dataset is embedded software for STMicroelectronics STM32L4P5 CPU, developed from STMicroelectronics example code, to control the NFC and peripherals forming SPaRAS: the ReMINDS Customisable Environmental Sensor. This software is built on STM32CubeIDE 1.14.1.

Also included is a program, developed in Eclipse IDE for C and C++ Developers - 2025-06 that processes information extracted from the device.

This dataset also contains the results from analysing this system in regards to: functionality, battery lifespan, memory consumption and efficiency of data extraction. Data from each stage of processing the results of these tests have been documented within this dataset. This includes:

- Environmental data extracted from the board during an extended functionality test
- Current readings from the board used to determine the battery usage and lifespan of the SPaRAS
- Time measurements when extracting small amounts of data from the board which are extrapolated to approximate the time needed when reading all data from the device.

In each relevant file, captions have been added for clarity to explain the process used when analysing data.

Also included in this dataset is an Excel workbook containing the final results used to generate all figures and tables submitted within the associated publication.