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.
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)
  
  There is also a zip file containing the raw data from the dynanometer and the Vyntus PGE system.