Data from: Temporal power of a cycling sprinter: Experiments & effective time theory
Data files
Mar 05, 2025 version files 531.68 KB
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data-figures-R1-V4.zip
495.90 KB
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README.md
35.78 KB
Abstract
Using data recorded on ergocycle and in situ at the National Velodrome of Saint-Quentin-en-Yvelines, either during training sessions or during the 2022 World Championship, we first conduct an experimental study on the decay over time of the power developed by a sprinter. We then develop a theoretical model for the power output based on the definition of an effective time to account for fatigue. Comparisons between the model’s predictions and the experimental data demonstrate a strong agreement across all tested conditions, whether on the ergocycle or in the velodrome.
https://doi.org/10.5061/dryad.sj3tx96fq
Description of the data and file structure
General Overview
The article titled "Temporal Power of a Cycling Sprinter: Experiments & Effective Time Theory" includes a total of eleven figures.
Among these, nine figures present data, while the remaining two (Figure 1 and Figure 7) consist of illustrations and images.
This README file provides a detailed description of all figures that contain data.
Files and variables
File: data-figures-R1-V4.zip
Description: This file contains all the data included in the article "Temporal Power of a Cycling Sprinter: Experiments & Effective Time Theory".
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Overview "data-figure-02"
This file contains the informations used to produce Figure 2 from the article "Temporal Power of a Cycling Sprinter: Experiments & Effective Time Theory".
The figure illustrates the relationship between power output and velocity for a kilometer time trial performed in 2022 during the world championship.
data-figure-02.txt contains the raw data used to generate figure-02.
The file includes 3 columns separated with tab:
column 1, distance (m), is distance in metres
column 2, mean power (W), is the mean power per pedaling cycle P in Watts
column 3, mean speed (km/h), is velocity the mean velocity perpedaling cycle in kilometre per hour
Usage Notes
To analyze the data, you can use any data analysis software that supports text file imports, such as Python or MATLAB.
Ensure that the data is correctly parsed according to the delimiter used in the files.
This file can be used to replicate Figure 2 from the article and to analyze the relationship between power, speed, and distance during a cycling sprint.
The data is provided in text format to facilitate the accessibility.
Additional Information
For more context, please refer to the article "Temporal Power of a Cycling Sprinter: Experiments & Effective Time Theory."
If you have any questions or need further information, please contact the corresponding author of the article.
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Overview "data-figure-03"
This file contains the informations used to produce Figure 3 from the article "Temporal Power of a Cycling Sprinter: Experiments & Effective Time Theory".
The figure illustrates the torque-cadence relationship in two different positions (stand and sit) for the elite athlete involved in the study.
data-figure-03-seated.txt:
This file contains the raw data used to generate figure-03-a and -b for the seated position.
The file includes 5 columns separated with tab:
column 1, RPM, is the cadence in Rotation Per Minute (RPM)
column 2, F(N), is the total force exerted on the crank in Newton
column 3, thetap(rad/s), is the cadence in radian per second
column 4, Gamma(N.m), is the total torque exerted on the crank in Newton.metre
column 5, P(W), is the power in Watts
data-figure-03-stand.txt:
This file contains the raw data used to generate figure-03-a and -b for the stand position.
The file includes 5 columns separated with tab:
column 1, RPM, is the cadence in Rotation Per Minute (RPM)
column 2, F(N), is the total force exerted on the crank in Newton
column 3, thetap(rad/s), is the cadence in radian per second
column 4, Gamma(N.m), is the total torque exerted on the crank in Newton.metre
column 5, P(W), is the power in Watts
Data Collection
The data was collected during training sessions on ergocycle where a cyclist performed all-out sprints in both seated and standing positions.
The measurements were taken using specialized equipment to capture the torque and angular velocity during the sprints.
Usage Notes
To analyze the data, you can use any data analysis software that supports text file imports, such as Python or MATLAB.
Ensure that the data is correctly parsed according to the delimiter used in the files.
The data can be used to reproduce the graphs in Figure 3 or for further analysis of cycling performance.
Contact Information
For any questions or further information regarding the data, please contact the corresponding author of the article.
___________________________________________________________________________________________________
Overview "data-figure-04"
This file contains the informations used to produce Figure 4 from the article "Temporal Power of a Cycling Sprinter: Experiments & Effective Time Theory".
The figure 4-(a) illustrates the temporal decay of the power for two different imposed cadences: 91RPM and 130 RPM.
The figure 4-(b) illustrates the temporal evolution of the torque-cadence relationship for two different imposed cadences: 91RPM and 130 RPM.
data-figure-04-a-91RPM.txt
This file contains the raw data used to generate figure-04-a for the 91 RPM condition:
The file includes 2 columns separated with tab:
column 1, t(s), is the time in seconds
column 2, P91s(W), is the power in Watts
data-figure-04-a-130RPM.txt
This file contains the raw data used to generate figure-04-a for the 130 RPM condition:
The file includes 2 columns separated with tab:
column 1, t(s), is the time in seconds
column 2, P130(W), is the power in Watts
data-figure-04-b-91RPM-after-16-seconds.txt
This file contains the raw data used to generate figure-04-b for the 91 RPM condition after 16 seconds
The file includes 4 columns separated with tab:
column 1, thetap(RPM), is the cadence in RPM
column 2, F(N), is the force in Newton
column 3, thetap(rad/s), is the cadence in radian per second
column 4, G9116(N.m), is the torque in Newton.metre
data-figure-04-b-130RPM-after-16-seconds.txt
This file contains the raw data used to generate figure-04-b for the 130 RPM condition after 16 seconds
The file includes 4 columns separated with tab:
column 1, thetap(RPM), is the cadence in RPM
column 2, F(N), is the force in Newton
column 3, thetap(rad/s), is the cadence in radian per second
column 4, "G13016(N.m)", is the torque in Newton.metre
data-figure-04-b-130RPM-after-60-seconds.txt
This file contains the raw data used to generate figure-04-b for the 130 RPM condition after 60 seconds
The file includes 4 columns separated with tab:
column 1, thetap(RPM), is the cadence in RPM
column 2, F(N), is the force in Newton
column 3, thetap(rad/s), is the cadence in radian per second
column 4, Gamma-13060(N.m) is the torque in Newton.metre
data-figure04-b-91RPM-after-60-seconds.txt
This file contains the raw data used to generate figure-04-b for the 91 RPM condition after 60 seconds
The file includes 4 columns separated with tab:
column 1, thetap(RPM), is the cadence in RPM
column 2, F(N), is the force in Newton
column 3, thetap(rad/s), is the cadence in radian per second
column 4, Gamma-9160(N.m), is the torque in Newton.metre
data-figure-04-b-seated-without-fatigue.txt
This file contains the raw data used to generate figure-04-b for the seated position without fatigue
The file includes 4 columns separated with tab:
column 1, theta(RPM), is the cadence in RPM
column 2, F(N), is the force in Newton
column 3, thetap(rad/s), is the cadence in radian per second
column 4, Gamma(N.m) is the torque in Newton.metre
Data Collection
The data was collected during training sessions on ergocycle where a cyclist performed all-out sprints in isokinetic conditions with or
without fatigue. The measurements were taken using specialized equipment to capture the torque and angular velocity during the sprints.
Usage Notes
To analyze the data, you can use any data analysis software that supports text file imports, such as Python or MATLAB.
Ensure that the data is correctly parsed according to the delimiter used in the files.
The data can be used to reproduce the graphs in Figure 4 or for further analysis of cycling performance.
Contact Information
For any questions or further information regarding the data, please contact the corresponding author of the article.
___________________________________________________________________________________________________
Overview "data-figure-05"
This file contains the informations used to produce Figure 5 from the article "Temporal Power of a Cycling Sprinter: Experiments & Effective Time Theory".
The figure 5-(a) is a description of the pedaling crank with the decomposition of the applied force in normal and tangential components,
The figure 5-(b) illustrates the temporal evolution of the velocity and of the power for 3 races of different distances: 30m, 60m and 250m
The figure 5-(c) illustrates the torque-cadence relationship obtained during the 3 races of different distances: 30m, 60m and 250m.
A comparison is made with the data obtained on ergocycle.
data-figure-05-b-30m.txt
This file contains the raw data used to generate figure-05-b for the 30 metre race:
The file includes 5 columns separated with tab:
column 1, tmean(s), is the time in seconds
column 2, mean power (W), is the power in Watts
column 3, mean speed (km/h), is the velocity in kilometre per hour
column 4, cadence (rad/s), is the cadence in radian per second
column 5, torque (N.m), is the torque in Newton.metre
data-figure-05-b-60m.txt
This file contains the raw data used to generate figure-05-b for the 60 metre race:
The file includes 5 columns separated with tab:
column 1, tmean(s), is the time in seconds
column 2, mean power (W), is the power in Watts
column 3, mean speed (km/h), is the velocity in kilometre per hour
column 4, cadence (rad/s), is the cadence in radian per second
column 5, torque (N.m), is the torque in Newton.metre
data-figure-05-b-250m.txt
This file contains the raw data used to generate figure-05-b for the 250 metre race:
The file includes 5 columns separated with tab:
column 1, tmean(s), is the time in seconds
column 2, mean power (W), is the power in Watts
column 3, mean speed (km/h), is the velocity in kilometre per hour
column 4, cadence (rad/s), is the cadence in radian per second
column 5, torque (N.m), is the torque in Newton.metre
data-figure-05-c-30m.txt
This file contains the raw data used to generate figure-05-c for the 30 metre race:
The file includes 5 columns separated with tab:
column 1, tmean(s), is the time in seconds
column 2, mean power (W), is the power in Watts
column 3, mean speed (km/h), is the velocity in kilometre per hour
column 4, cadence (rad/s), is the cadence in radian per second
column 5, torque (N.m), is the torque in Newton.metre
data-figure-05-c-60m.txt
This file contains the raw data used to generate figure-05-c for the 60 metre race:
The file includes 5 columns separated with tab:
column 1, tmean(s), is the time in seconds
column 2, mean power (W), is the power in Watts
column 3, mean speed (km/h), is the velocity in kilometre per hour
column 4, cadence (rad/s), is the cadence in radian per second
column 5, torque (N.m), is the torque in Newton.metre
data-figure-05-c-250m.txt
This file contains the raw data used to generate figure-05-c for the 250 metre race:
The file includes 5 columns separated with tab:
column 1, tmean(s), is the time in seconds
column 2, mean power (W), is the power in Watts
column 3, mean speed (km/h), is the velocity in kilometre per hour
column 4, cadence (rad/s), is the cadence in radian per second
column 5, torque (N.m), is the torque in Newton.metre
data-figure-05-c-inset-60m.txt
This file contains the raw data used to generate the inset of figure-05-c for the 60 metre race:
The file includes 5 columns separated with tab:
column 1, tmean(s), is the time in seconds
column 2, mean power (W), is the power in Watts
column 3, mean speed (km/h), is the velocity in kilometre per hour
column 4, cadence (rad/s), is the cadence in radian per second
column 5, torque (N.m), is the torque in Newton.metre
data-figure-05-c-lode-stand.txt
This file contains the raw data used to generate the inset of figure-05-c for the ergocycle in stand position:
The file includes 7 columns separated with tab:
column 1, thetap(RPM), is the cadence in RPM
column 2, F(N), is the force in Newton
column 3, thetap(rad/s), is the cadence in radian per seconds
column 4, Gamma(N.m), is the torque in Newton.metre
column 5, P-stand(W), is the power in Watts in standing position
Data Collection
The data was collected during training sessions on ergocycle and on track where a cyclist performed all-out sprints.
The measurements were taken using specialized equipment to capture the torque and angular velocity during the sprints.
Usage Notes
To analyze the data, you can use any data analysis software that supports text file imports, such as Python or MATLAB.
Ensure that the data is correctly parsed according to the delimiter used in the files.
The data can be used to reproduce the graphs in Figure 5 or for further analysis of cycling performance.
Contact Information
For any questions or further information regarding the data, please contact the corresponding author of the article.
___________________________________________________________________________________________________
Overview "data-figure-06"
This file contains the informations used to produce Figure 6 from the article "Temporal Power of a Cycling Sprinter: Experiments & Effective Time Theory".
This figure shows the evolution of the time of the race T with the gear ration G for different distance of races ranging from 30 m to 1000 m performed during training sessions.
data-figure-06-30m.txt
This file contains the raw data used to generate figure-06 for the impact of the gear ration on the final time of the 30 metre race:
The file includes 3 columns separated with tab:
column 1, G, is the gear ratio expressed as the ratio of the chainring size to the sprocket size.
column 2, G, is the gear ratio expressed as a real number.
column 3, t-30m (s), is the final time of the 30 m sprint
data-figure-06-60m.txt
This file contains the raw data used to generate figure-06 for the impact of the gear ration on the final time of the 60 metre race:
The file includes 3 columns separated with tab:
column 1, G, is the gear ratio expressed as the ratio of the chainring size to the sprocket size.
column 2, G, is the gear ratio expressed as a real number.
column 3, t-60m (s), is the final time of the 60 m sprint
data-figure-06-125m.txt
This file contains the raw data used to generate figure-06 for the impact of the gear ration on the final time of the 125 metre race:
The file includes 3 columns separated with tab:
column 1, G, is the gear ratio expressed as the ratio of the chainring size to the sprocket size.
column 2, G, is the gear ratio expressed as a real number.
column 3, t-125m (s), is the final time of the 125 m sprint
data-figure-06-250m.txt
This file contains the raw data used to generate figure-06 for the impact of the gear ration on the final time of the 250 metre race:
The file includes 3 columns separated with tab:
column 1, G, is the gear ratio expressed as the ratio of the chainring size to the sprocket size.
column 2, G, is the gear ratio expressed as a real number.
column 3, t-250m (s), is the final time of the 250 m sprint
data-figure-06-500m.txt
This file contains the raw data used to generate figure-06 for the impact of the gear ration on the final time of the 500 metre race:
The file includes 3 columns separated with tab:
column 1, G, is the gear ratio expressed as the ratio of the chainring size to the sprocket size.
column 2, G, is the gear ratio expressed as a real number.
column 3, t-500m (s), is the final time of the 500 m sprint
data-figure-06-750m.txt
This file contains the raw data used to generate figure-06 for the impact of the gear ration on the final time of the 750 metre race:
The file includes 3 columns separated with tab:
column 1, G, is the gear ratio expressed as the ratio of the chainring size to the sprocket size.
column 2, G, is the gear ratio expressed as a real number.
column 3, t-750m (s), is the final time of the 750 m sprint
data-figure-06-1000m.txt
This file contains the raw data used to generate figure-06 for the impact of the gear ration on the final time of the 1000 metre race:
The file includes 3 columns separated with tab:
column 1, G, is the gear ratio expressed as the ratio of the chainring size to the sprocket size.
column 2, G, is the gear ratio expressed as a real number.
column 3, t-1000m (s), is the final time of the 1000 m sprint
Data Collection
The data was collected during training sessions on track where a cyclist performed all-out sprints over different distance races and with different gear ratio.
The measurements were taken using video tracking to capture the time of the different races.
Usage Notes
To analyze the data, you can use any data analysis software that supports text file imports, such as Python or MATLAB.
Ensure that the data is correctly parsed according to the delimiter used in the files.
The data can be used to reproduce the graphs in Figure 6 or for further analysis of cycling performance.
Contact Information
For any questions or further information regarding the data, please contact the corresponding author of the article.
___________________________________________________________________________________________________
Overview "data-figure-08"
This file contains the informations used to produce Figure 8 from the article "Temporal Power of a Cycling Sprinter: Experiments & Effective Time Theory".
figure-08-(a) presents the comparison between the measurement and the effective time model for the temporal evolution of the maximal power
for two isokinetic sprints performed at 130 RPM and 91 RPM.
figure-08-(b) shows the comparison between the measurement and the effective time model for the temporal evolution of the torque-cadence relationship
for two pedaling rates 130 RPM and 91 RPM.
data-figure-08-a-91RPM.txt
This file contains the raw data used to generate figure-08-(a) for the temporal evolution of the power at 91 RPM:
The file includes 2 columns separated with tab:
column 1, t(s), is the time in seconds
column 2,P91s(W), is the power in Watts.
data-figure-08-a-130RPM.txt
This file contains the raw data used to generate figure-08-(a) for the temporal evolution of the power at 130 RPM:
The file includes 2 columns separated with tab:
column 1, t(s), is the time in seconds
column 2,P130(W), is the power in Watts.
data-figure-08-a-model.txt
This file contains the raw data used to generate figure-08-(a) for the temporal evolution of the power at 91 RPM and 130 RPM
obtained with the mathematical model.
The file includes 3 columns separated with tab:
column 1, t(s), is the time in seconds
column 2,P91 (W), is the power in Watts for 91 RPM
column 3,P130 (W), is the power in Watts for 130 RPM
data-figure-08-b-91RPM-after-16-seconds.txt
This file contains the raw data used to generate figure-08-(b) for the temporal evolution of the torque-cadence relationship at 91 RPM
with 16 seconds of fatigue:
The file includes 4 columns separated with tab:
column 1, thetap(RPM), is the cadence in RPM
column 2,F(N), is the force in Newton
column 3,thetap(rad/s), is the cadence in radian per seconds
column 4,G9116(N.m), is the torque at 91RPM with 16s of fatigue.
data-figure-08-b-130RPM-after-16-seconds.txt
This file contains the raw data used to generate figure-08-(b) for the temporal evolution of the torque-cadence relationship at 130 RPM
with 16 seconds of fatigue:
The file includes 4 columns separated with tab:
column 1, thetap(RPM), is the cadence in RPM
column 2,F(N), is the force in Newton
column 3,thetap(rad/s), is the cadence in radian per seconds
column 4,G13016 (N.m), is the torque at 130 RPM with 16s of fatigue.
data-figure-08-b-91RPM-after-60-seconds.txt
This file contains the raw data used to generate figure-08-(b) for the temporal evolution of the torque-cadence relationship at 91 RPM
with 60 seconds of fatigue:
The file includes 4 columns separated with tab:
column 1, thetap(RPM), is the cadence in RPM
column 2,F(N), is the force in Newton
column 3,thetap(rad/s), is the cadence in radian per seconds
column 4,Gamma-9160(N.m), is the torque at 91 RPM with 60s of fatigue.
data-figure-08-b-130RPM-after-60-seconds.txt
This file contains the raw data used to generate figure-08-(b) for the temporal evolution of the torque-cadence relationship at 130 RPM
with 60 seconds of fatigue:
The file includes 4 columns separated with tab:
column 1, thetap(RPM), is the cadence in RPM
column 2,F(N), is the force in Newton
column 3,thetap(rad/s), is the cadence in radian per seconds
column 4,Gamma-13060(N.m), is the torque at 130 RPM with 60s of fatigue.
data-figure-08-b-model.txt
This file contains the raw data used to generate figure-08-(b) for the temporal evolution of the torque-cadence relationship
obtained with the mathematical model:
The file includes 6 columns separated with tab:
column 1, cadence (rad/s), is the cadence in radian per seconds
column 2,torque-9116RPM (N.m), is the torque in Newton.metre obtained at 91 RPM after 16 s
column 3,torque-13016RPM (N.m), is the torque in Newton.metre obtained at 130 RPM after 16 s
column 4,torque-9160RPM (N.m), is the torque in Newton.metre obtained at 91 RPM after 60 s
column 5,torque-13060RPM (N.m), is the torque in Newton.metre obtained at 130 RPM after 60 s
column 6,torque-seated (N.m), is the torque in Newton.metre obtained without fatigue in seated position.
data-figure-08-b-seated-without-fatigue.txt
This file contains the raw data used to generate figure-08-(b) for the torque-cadence relationship
obtained on ergocycle without fatigue in seated position.
The file includes 4 columns separated with tab:
column 1, thetap(RPM, is the cadence in RPM
column 2,F(N), is the force in Newton
column 3,thetap(rad/s), is the cadence in radian per second
column 4,Gamma(N.m), is the torque in Newton.metre
matlab-program
This file contains the matlab program comparaison-modele-experiences-25082024.m
used to integrate the mathematical program.
Data Collection
The data was collected during training sessions on erocycle where a cyclist performed all-out sprints.
The measurements were taken using specialized equipment to capture the torque and angular velocity during the sprints.
Usage Notes
To analyze the data, you can use any data analysis software that supports text file imports, such as Python or MATLAB.
Ensure that the data is correctly parsed according to the delimiter used in the files.
The data can be used to reproduce the graphs in Figure 8 or for further analysis of cycling performance.
Contact Information
For any questions or further information regarding the data, please contact the corresponding author of the article.
___________________________________________________________________________________________________
Overview "data-figure-09"
This file contains the informations used to produce Figure 9 from the article "Temporal Power of a Cycling Sprinter: Experiments & Effective Time Theory".
figure-09-(a) shows the comparison experiment-theory of the time evolution of the speed and of the power for a 1 lap standing start (250 m) performed with the gear ratio G = 61/17 during a training session.
figure-09-(b) presents the associated torque-pedaling rate relationship for experimental measures and for the effective time model.
data-figure-09-a-b-experiment-250m.txt
This file contains the raw data used to generate figure-09-(a) for the temporal evolution of the velocity and power in the 250 m race performed on track during a training session.
It also contains the raw data used to generate figure-09-(b) for the corresponding torque-cadence relationship.
The file includes 5 columns separated with tab:
column 1, tmean(s), is the time in seconds
column 2, mean power (W), is the power in Watts.
column 3, mean speed (km/h), is the velocity in kilometre per hour.
column 4, cadence (rad/s), is the cadence in radian per seconds
column 5, torque (N.m), is the torque in Newton.metre
data-figure-09-a-b-model-250m.txt
This file contains the raw data used to generate figure-09-(a) and (b) for the results obtained with the mathematical model.
The file includes 7 columns separated with tab:
column 1, time(s), is the time in seconds
column 2, distance(m), is the distance in metre.
column 3, effective time(s), is the effective time in seconds
column 4, power(W), is the power in Watts
column 5, speed(km/h), is the velocity in kilometre per hour
column 6, torque(N.m), is the torque in Newton.metre
column 7, cadence (rad/s), is the cadence in radian per seconds
matlab-program
This file contains the matlab program comparaison-modele-experiences-25082024.m
used to integrate the mathematical program.
Data Collection
The data was collected during training sessions on track where a cyclist performed all-out sprints over 250 m.
The measurements were taken using specialized equipment to capture the torque and angular velocity during the sprints.
Usage Notes
To analyze the data, you can use any data analysis software that supports text file imports, such as Python or MATLAB.
Ensure that the data is correctly parsed according to the delimiter used in the files.
The data can be used to reproduce the graphs in Figure 9 or for further analysis of cycling performance.
Contact Information
For any questions or further information regarding the data, please contact the corresponding author of the article.
___________________________________________________________________________________________________
Overview "data-figure-10"
This file contains the informations used to produce Figure 10 from the article "Temporal Power of a Cycling Sprinter: Experiments & Effective Time Theory".
figure-10-(a) shows the comparison experiment-theory of the time evolution of the velocity and of the power for the
kilometre time trial performed at the 2022 world championships with the gear ratio G= 62/13.
figure-10-(b) presents the associated torque-pedaling rate relationship for experimental data and for the effective time model.
data-figure-10-a-b-experiment-1000m.txt
This file contains the raw data used to generate figure-10-(a) for the temporal evolution of the velocity and power in the 1000 m race performed on track during the 2022 world championship.
It also contains the raw data used to generate figure-10-(b) for the corresponding torque-cadence relationship.
The file includes 5 columns separated with tab:
column 1, tmean(s), is the time in seconds
column 2, power(W), is the power in Watts.
column 3, speed(km/h), is the velocity in kilometre per hour.
column 4, cadence (rad/s), is the cadence in radian per seconds
column 5, torque (N.m), is the torque in Newton.metre
data-figure-10-a-b-model-1000m.txt
This file contains the raw data used to generate figure-10-(a) and (b) for the results obtained with the mathematical model.
The file includes 7 columns separated with tab:
column 1, time(s), is the time in seconds
column 2, distance(m), is the distance in metre.
column 3, effective time(s), is the effective time in seconds
column 4, power(W), is the power in Watts
column 5, speed(km/h), is the velocity in kilometre per hour
column 6, torque(N.m), is the torque in Newton.metre
column 7, cadence (rad/s), is the cadence in radian per seconds
matlab-program
This file contains the matlab program comparaison-modele-experiences-25082024.m
used to integrate the mathematical program.
Data Collection
The data was collected during the kilometre time trial performed during the 2022 world championship.
The measurements were taken using specialized equipment to capture the torque and angular velocity during the sprints.
Usage Notes
To analyze the data, you can use any data analysis software that supports text file imports, such as Python or MATLAB.
Ensure that the data is correctly parsed according to the delimiter used in the files.
The data can be used to reproduce the graphs in Figure 10 or for further analysis of cycling performance.
Contact Information
For any questions or further information regarding the data, please contact the corresponding author of the article.
___________________________________________________________________________________________________
Overview "data-figure-11"
This file contains the informations used to produce Figure 11 from the article "Temporal Power of a Cycling Sprinter: Experiments & Effective Time Theory".
This figure shows the comparison between the experimental data and the Effective Time Theory for the evolution of the time of the race with the gear ration
for different distance of races ranging from 30 m to 1000 m.
data-figure-11-experiment-30m.txt
This file contains the raw data used to generate figure-11 for the impact of the gear ration on the time of a 30 m race.
The file includes 3 columns separated with tab:
column 1, G, is the gear ratio expressed as the ratio of the chainring size to the sprocket size.
column 2, G, is the gear ratio expressed as a real number.
column 3, t-30m (s), is the final time of the 30 m sprint
data-figure-11-experiment-60m.txt
This file contains the raw data used to generate figure-11 for the impact of the gear ration on the time of a 60 m race.
The file includes 3 columns separated with tab:
column 1, G, is the gear ratio expressed as the ratio of the chainring size to the sprocket size.
column 2, G, is the gear ratio expressed as a real number.
column 3, t-60m (s), is the final time of the 60 m sprint
data-figure-11-experiment-125m.txt
This file contains the raw data used to generate figure-11 for the impact of the gear ration on the time of a 125 m race.
The file includes 3 columns separated with tab:
column 1, G, is the gear ratio expressed as the ratio of the chainring size to the sprocket size.
column 2, G, is the gear ratio expressed as a real number.
column 3, t-125m (s), is the final time of the 125 m sprint
data-figure-11-experiment-250m.txt
This file contains the raw data used to generate figure-11 for the impact of the gear ration on the time of a 250 m race.
The file includes 3 columns separated with tab:
column 1, G, is the gear ratio expressed as the ratio of the chainring size to the sprocket size.
column 2, G, is the gear ratio expressed as a real number.
column 3, t-250m (s), is the final time of the 250 m sprint
data-figure-11-experiment-500m.txt
This file contains the raw data used to generate figure-11 for the impact of the gear ration on the time of a 500 m race.
The file includes 3 columns separated with tab:
column 1, G, is the gear ratio expressed as the ratio of the chainring size to the sprocket size.
column 2, G, is the gear ratio expressed as a real number.
column 3, t-500m (s), is the final time of the 500 m sprint
data-figure-11-experiment-750m.txt
This file contains the raw data used to generate figure-11 for the impact of the gear ration on the time of a 750 m race.
The file includes 3 columns separated with tab:
column 1, G, is the gear ratio expressed as the ratio of the chainring size to the sprocket size.
column 2, G, is the gear ratio expressed as a real number.
column 3, t-750m (s), is the final time of the 750 m sprint
data-figure-11-experiment-1000m.txt
This file contains the raw data used to generate figure-11 for the impact of the gear ration on the time of a 1000 m race.
The file includes 3 columns separated with tab:
column 1, G, is the gear ratio expressed as the ratio of the chainring size to the sprocket size.
column 2, G, is the gear ratio expressed as a real number.
column 3, t-1000m (s), is the final time of the 1000 m sprint
data-figure-11-model-30m.txt
This file contains the raw data used to generate figure-11 for the impact of the gear ration on the time of a 30 m race computed with the mathematical model.
The file includes 2 columns separated with tab:
column 1, G, is the gear ratio expressed as a real number.
column 3, T30(s), is the final time of the 30 m sprint
data-figure-11-model-60m.txt
This file contains the raw data used to generate figure-11 for the impact of the gear ration on the time of a 60 m race computed with the mathematical model.
The file includes 2 columns separated with tab:
column 1, G, is the gear ratio expressed as a real number.
column 3, T60(s), is the final time of the 60 m sprint
data-figure-11-model-125m.txt
This file contains the raw data used to generate figure-11 for the impact of the gear ration on the time of a 125 m race computed with the mathematical model.
The file includes 2 columns separated with tab:
column 1, G, is the gear ratio expressed as a real number.
column 3, T125(s), is the final time of the 125 m sprint
data-figure-11-model-250m.txt
This file contains the raw data used to generate figure-11 for the impact of the gear ration on the time of a 250 m race computed with the mathematical model.
The file includes 2 columns separated with tab:
column 1, G, is the gear ratio expressed as a real number.
column 3, T250(s), is the final time of the 250 m sprint
data-figure-11-model-500m.txt
This file contains the raw data used to generate figure-11 for the impact of the gear ration on the time of a 500 m race computed with the mathematical model.
The file includes 2 columns separated with tab:
column 1, G, is the gear ratio expressed as a real number.
column 3, T500(s), is the final time of the 500 m sprint
data-figure-11-model-750m.txt
This file contains the raw data used to generate figure-11 for the impact of the gear ration on the time of a 750 m race computed with the mathematical model.
The file includes 2 columns separated with tab:
column 1, G, is the gear ratio expressed as a real number.
column 3, T750(s), is the final time of the 750 m sprint
data-figure-11-model-1000m.txt
This file contains the raw data used to generate figure-11 for the impact of the gear ration on the time of a 1000 m race computed with the mathematical model.
The file includes 2 columns separated with tab:
column 1, G, is the gear ratio expressed as a real number.
column 3, T1000(s), is the final time of the 1000 m sprint
matlab-program
This file contains the matlab program comparaison-modele-experiences-25082024.m
used to integrate the mathematical program.
Data Collection
The data was collected during training sessions using different gear ratio in races of different distances.
The measurements were taken using specialized equipment to capture the torque and angular velocity during the sprints.
Usage Notes
To analyze the data, you can use any data analysis software that supports text file imports, such as Python or MATLAB.
Ensure that the data is correctly parsed according to the delimiter used in the files.
The data can be used to reproduce the graphs in Figure 11 or for further analysis of cycling performance.
Contact Information
For any questions or further information regarding the data, please contact the corresponding author of the article.
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The datasets for the ergocycle and track experiments were collected using an instrumented crank that measures applied torque with strain gauges and pedaling cadence with an angle encoder (ergocycle) or a gyroscope (track). The instrumented crank, which enables the measurement of torque and pedaling cadence on the track, received approval from the International Cycling Union (UCI) in 2020 for use in competitions. Consequently, it was employed during the 2022 World Championships to record the data presented in the article regarding the kilometer time trial.
To process the data and compare them with the theoretical model, MATLAB was utilized.
