Proccessed data for Trend Validation of Metabolic Models Against Measurements Using Indirect Calorimetry

A cleaned data set used to validate metabolism models in a muscuskeletal modeling software.<br> The dataset contains 240 rows and 18 columns. Labels: AnyMet = Metabolic output by the modelling software. Calculated as the mean energy cost per repetition [J] . VynMet = Metabolic output by the indirect calorimetry system (Vyntus CPX). Calculated as the mean energy cost per repetition [J]. rest_energy = total energy cost during rest [J]. Measured with Indirect caliometry rest_time = total time of rest [min] Work = Energy cost times the displacement per rep [J]. watt = Work divided by total duration of a repetition [J/s] extension time = duration of the extension part of the movement [s] flexion time = duration of the flexion part of the movement [s] bw = bodyweight [kg] height [m] CV = coefficient of variation for the measured rest_energy. model = model type used for AnyMet. Subject Contraction = Contraction type performed intensity = Intensity to overcome created by the dynamometer. mech_watt_kg = mechcanical watt, watt divided by bodyweight any_met_watt_kg = watt pr kg: (AnyMet / bw) / (extension time + flexion time) vyn_met_watt_kg = watt pr kg: (VynMet / bw) / (extension time + flexion time)<br> <br> There is also a zip file containing the raw data from the dynanometer and the Vyntus PGE system.