Discrete time-series measurements collected at predefined timepoints are widely used in sport nutrition and exercise metabolism research, including tolerance tests, tracer studies, and physiological responses to experimental interventions. These data sets are commonly summarized using derived metrics such as area under the curve. The original Time Series Response Analyser, introduced in 2020 as a spreadsheet-based tool, aimed to standardize these calculations and reduced the risk of manual errors. However, spreadsheet implementations can be difficult to maintain, extend, and version control, and provide limited transparency regarding exactly how outputs are derived. Here, we present Time Series Response Analyser v2.0, a web-based successor designed to improve accessibility, usability, and long-term maintainability while preserving the analytical purpose of the original tool. The application runs in a standard web browser and guides users through a structured workflow consisting of data setup, file interpretation screening, interactive analysis, and export of results. It retains the core summary metrics of the original version while expanding visualization capabilities and export options. In summary, Time Series Response Analyser v2.0 is a free, open-source web-based application for researchers analyzing discrete time-series experiments across both repeated-measures and independent-groups designs, supporting transparent and reproducible analytical workflows while enabling future development through a code-based platform.
Narang et al. (Thu,) studied this question.