Automated Author Profile

Keller Engelund, Bjørn

AnyBody Technology A/S, Aalborg, Denmark

Current S-Index

1.4

Sum of Dataset Indices for all datasets

Average Dataset Index per Dataset

0.5

Average Dataset Index per dataset

Total Datasets

3

Total datasets for this author

Average FAIR Score

77.6%

Average FAIR Score per dataset

Total Citations

0

Total citations to the author's datasets

Total Mentions

0

Total mentions of the author's datasets

S-Index Interpretation

S-Index Over Time

Cumulative Citations Over Time

Cumulative Mentions Over Time

Datasets

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)

Authors

  • Lentz-Nielsen, Nicki ;
  • Boysen, Mads ;
  • Munk-Hansen, Mathias ;
  • Laursen, Andreas ;
  • Steffensen, Mike ;
  • Keller Engelund, Bjørn ;
  • Iversen, Kristoffer ;
  • de Zee, Mark
0 Citations0 Mentions79% FAIR0.5 Dataset Index
10.5281/zenodo.47293052021

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.

Authors

  • Lentz-Nielsen, Nicki ;
  • Boysen, Mads ;
  • Munk-Hansen, Mathias ;
  • Laursen, Andreas ;
  • Steffensen, Mike ;
  • Keller Engelund, Bjørn ;
  • Iversen, Kristoffer ;
  • de Zee, Mark
0 Citations0 Mentions77% FAIR0.5 Dataset Index
10.5281/zenodo.47293042021

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.

Authors

  • Lentz-Nielsen, Nicki ;
  • Boysen, Mads ;
  • Munk-Hansen, Mathias ;
  • Laursen, Andreas ;
  • Steffensen, Mike ;
  • Keller Engelund, Bjørn ;
  • Iversen, Kristoffer ;
  • de Zee, Mark
0 Citations0 Mentions77% FAIR0.5 Dataset Index
10.5281/zenodo.54940542021