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54 results for “Cost of energy”

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dryad32/100

Membrane lipid metabolism, heat shock response, and energy costs mediate the interaction between acclimatization and heat hardening response

Open the record for dataset details and reuse information.

publicAug 2021View details →
zenodo28/100

Data: The effects of general fatigue induced by incremental exercise test and active recovery modes on energy cost, gait variability and stability in male soccer players

<p>Data, code, and movies for Mahaki et al. (2020); The effects of general fatigue induced by incremental exercise test and active recovery modes on energy cost, gait variability and stability in male soccer players. Published in The Journal of Biomechanics (<a href="https://doi.org/10.1016/j.jbiomech.2020.109823">https://doi.org/10.1016/j.jbiomech.2020.109823</a>).</p> <p><strong>Gas data</strong> &nbsp; - contains all Oxygen data plus a script to run the data.</p> <p>&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp;- Subjectxx &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;- folder with oxygen data.</p> <p>&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp;- GasdataMohammad &nbsp;[type of file: MATLAB code (.m)] - script to analyze the oxygen data. The outcomes have been saved as RestECnet, PWSECnet, and IVTECnet&nbsp; [type of files: MATLAB data (.mat)].</p> <p>&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp;- EC_Stat_boxplot&nbsp;&nbsp;&nbsp;&nbsp; [type of file: MATLAB code (.m)] - script to statistically test the hypotheses in terms of energetic cost, to calculate the effect sizes of main effects of Time, Recovery and Interaction effect (Time vs Recovery) and to&nbsp;show the outcome in boxplot together with individual data points (The results have been presented in&nbsp;<strong>Fig 2.</strong>)</p> <p>&nbsp;</p> <p><strong>Kinematic Data</strong>&nbsp;-&nbsp;contains all Kinematic data plus scripts to run the data:</p> <p>&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp;- Subjectxx &nbsp;&nbsp; &nbsp;&nbsp;- folder with kinematics data.</p> <p>&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp;- Rest_VAR&nbsp;&nbsp;&nbsp;&nbsp; &nbsp;[type of file: MATLAB code (.m)] - script to analyze the kinematics data in the Rest recovery&nbsp;session. The outcomes&nbsp;have been saved as RestVAR [type of file: MATLAB data (.mat)]. The corresponding&nbsp;plots, per subject &amp; per trial, have been saved&nbsp;in the Plots folder.</p> <p>&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp;- PWS_VAR &nbsp;&nbsp;&nbsp;&nbsp;[type of file: MATLAB code (.m)] - script to analyze the kinematics data in the PWS recovery&nbsp;session. The outcomes have been saved as PWSVAR [type of file: MATLAB data (.mat)]. The corresponding plots, per subject &amp; per trial, have been saved in the Plots folder.</p> <p>&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp;- IVT_VAR&nbsp; &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;[type of file: MATLAB code (.m)] - script to analyze the kinematics data in the IVT recovery&nbsp;session. The outcomes have been saved as IVTVAR [type of file: MATLAB data (.mat)]. The corresponding&nbsp;plots, per subject &amp; per trial, have been saved in the Plots folder.</p> <p>&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp;- VAR_Stat_boxplot [type of file: MATLAB code (.m)] - script to statistically test the hypotheses in terms of gait variability (VAR sagittal, frontal, and horizontal) and to show the outcome in boxplot together with individual&nbsp;data&nbsp;points (The results have been presented in&nbsp;<strong>Fig 3.</strong>).</p> <p>&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; - VAR_Sagittal_Stat_boxplot [type of file: MATLAB code (.m)]&nbsp; &nbsp;- script to statistically test the hypotheses in terms&nbsp;of gait variability in sagittal plane, to calculate the effect sizes of main effects of Time, Recovery and Interaction&nbsp;effect (Time vs Recovery), and to show the outcome in boxplot together with individual data points.</p> <p>&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; - VAR_Frontal_Stat_boxplot [type of file: MATLAB code (.m)]&nbsp; &nbsp; &nbsp;- script to statistically test the hypotheses in terms&nbsp; &nbsp; &nbsp;of gait variability in frontal plane, to calculate the effect sizes of main effects of Time, Recovery and Interaction effect (Time vs Recovery), and to show the outcome in boxplot together with individual data points.</p> <p>&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; - VAR_Horizontal_Stat_boxplot [type of file: MATLAB code (.m)] - script to statistically test the hypotheses in&nbsp; terms of gait variability in horizontal plane, to calculate the effect sizes of main effects of Time, Recovery and Interaction effect (Time vs Recovery), and to show the outcome in boxplot together with individual data points.</p> <p>&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; - normalizetimebase [type of file: MATLAB code (.m)] &ndash; function to normalize VAR from 0 to 100% of the gait cycle.</p> <p>&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; - VAR_Sagittal &nbsp;&nbsp;&nbsp;[type of file: JASP/Jamovie files (.jasp/.omv)]&nbsp;&nbsp;&nbsp;&nbsp; - file to statistically test gait variability in sagittal plane. Imported data have been saved as VAR_Sagittal [type of file: Excell file (.csv)].</p> <p>&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; - VAR_Frontal&nbsp;&nbsp;&nbsp; [type of file: JASP/Jamovie files (.jasp/.omv)]&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; - file to statistically test gait variability in frontal plane. Imported data have been saved as VAR_Frontal [type of file: Excell files (.csv)].</p> <p>&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; - VAR_Horizontal [type of file: JASP/Jamovie files (.jasp/.omv)]&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;- file to statistically test gait variability in horizontal plane. Imported data have been saved as VAR_Horizontal [type of file: Excell file (.csv)].</p> <p>&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp;+ Trunk Stability - folder includes all outcomes and codes in terms of gait stability:</p> <p>&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp;-Thoracic&nbsp;[type of file: Excell file (.xlsx)]&nbsp;- general file includes all outcomes in terms of gait stability.</p> <p>&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp;- LDS_Stat_boxplot&nbsp; [type of file: MATLAB code (.m)]&nbsp; - script to statistically test the hypotheses in terms of&nbsp; &nbsp; &nbsp; gait stability (&lambda; sagittal, &lambda; frontal, and &lambda; horizontal) and to show the outcome in boxplot together with&nbsp;individual data points (The results have been presented in&nbsp;<strong>Fig 5.</strong>).</p> <p>&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; - LDS_Sagittal_Stat_boxplot [type of file: MATLAB code (.m)] - script to statistically test the hypotheses inn terms of gait stability in sagittal plane, to calculate the effect sizes of main effects of Time, Recovery and&nbsp;Interaction effect (Time vs Recovery), and to show the outcome in boxplot together with individual data points.</p> <p>&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; - LDS_Frontal_Stat_boxplot [type of file: MATLAB code (.m)]&nbsp; &nbsp;- script to statistically test the hypotheses in terms of gait stability in frontal plane, to calculate the effect sizes of main effects of Time, Recovery and Interaction effect (Time vs Recovery), and to show the outcome in boxplot together with individual data points.</p> <p>&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; - LDS_Horizontal_Stat_boxplot [type of file: MATLAB code (.m)] - script to statistically test the hypotheses in&nbsp; &nbsp; terms of gait stability in horizontal plane, to calculate the effect sizes of main effects of Time, Recovery and&nbsp;Interaction effect (Time vs Recovery), and to show the outcome in boxplot together with individual data points.</p> <p>&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; - Rest_LDS_Sagittal&nbsp; &nbsp; &nbsp;[type of file: Excell file (.xlsx)]&nbsp;&nbsp;- file includes LDS outcomes in the Rest recovery session and in the sagittal plane.</p> <p>&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; - Rest_LDS_Frontal&nbsp; &nbsp; &nbsp;[type of file: Excell file (.xlsx)]&nbsp;&nbsp;&nbsp;- file includes LDS outcomes in the Rest recovery session and in the frontal plane.</p> <p>&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; - Rest_LDS_Horizontal [type of file: Excell file (.xlsx)]&nbsp; - file includes LDS outcomes in the Rest recovery session and in the horizontal plane.</p> <p>&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; - PWS_LDS_Sagittal [type of file: Excell file (.xlsx)]&nbsp;&nbsp;&nbsp;&nbsp; - file includes LDS outcomes in the PWS recovery session and in the sagittal plane.</p> <p>&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; - PWS_LDS_Frontal [type of file: Excell file (.xlsx)]&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; - file includes LDS outcomes in the PWS recovery session and in the frontal plane.</p> <p>&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; - PWS_LDS_Horizontal [type of file: Excell file (.xlsx)]&nbsp;- file includes LDS outcomes in the PWS recovery session and in the horizontal&nbsp; plane.</p> <p>&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; - IVT_LDS_Sagittal [type of file: Excell file (.xlsx)]&nbsp; &nbsp; &nbsp; &nbsp; - file includes LDS outcomes in the IVT recovery session&nbsp; and in the sagittal plane.</p> <p>&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; - IVT_LDS_Frontal [type of file: Excell file (.xlsx)]&nbsp; &nbsp; &nbsp; &nbsp; &nbsp;- file includes LDS outcomes in the IVT recovery session&nbsp; and in the frontal plane.</p> <p>&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; - IVT_LDS_Horizontal [type of file: Excell file (.xlsx)]&nbsp; &nbsp; - file includes LDS outcomes in the IVT recovery session&nbsp;and in the horizontal plane.</p> <p>&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; - LDS_sagittal&nbsp;&nbsp;&nbsp; [type of files: JASP/Jamovie files (.jasp/.omv)]&nbsp;&nbsp;&nbsp;&nbsp; - file to statistically test gait stability in sagittal plane. Imported data have been saved as LDS_sagittal [type of file: Excell file (.csv)].</p> <p>&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; - LDS_frontal&nbsp;&nbsp;&nbsp; [type of files: JASP/Jamovie files (.jasp/.omv)]&nbsp; &nbsp; &nbsp; &nbsp;- file to statistically test gait stability in frontal plane. Imported data have been saved as LDS_frontal [type of file: Excell file (.csv)].</p> <p>&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; - LDS_horizontal [type of files: JASP/Jamovie file (.jasp/.omv)]&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; - file to statistically test gait stability in horizontal plane. Imported data have been saved as LDS_horizontal [type of file: Excell file (.csv)].</p> <p>&nbsp;</p> <p><strong>Movies</strong> &ndash;contains some movies [type of files: .mp4] to show the Noraxon calibration, IMUs placement on body segments, fatigue protocol, walking at PWS, and resting metabolic cost measurement.</p> <p>&nbsp;</p> <p><strong>The characteristics of participants</strong> [type of file: Excell file (.xlsx)] &ndash; file includes 4 sheets:</p> <p>&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; - Sheet 1 includes height (cm), weight (kg), age (year), BMI, and body fat percentage of each participant.</p> <p>&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; - Sheets 2-4 include the physiological parameters of each participant during IVT, PWS, and Rest recovery modes. The physiological parameters such as Vo2, Vo2max, HR, and RER of each participant have been reported during rest (i.e. sitting position) and incremental exercise test.</p> <p>&nbsp;</p>

opencc-by-4.0Apr 2020View details →
zenodo28/100

Determinants of energy futures - a scenario discovery method applied to cost and carbon emission futures for South American electricity infrastructure

<p>Scenario discovery SAMBA data files:</p> <p>1) &nbsp;The folder SAMBA_324_datafiles.zip contains all 324 data files for the OSeMOSYS run.<br> &nbsp;&nbsp; &nbsp;Each of these files has a code on top referring to the combination that it represents.<br> &nbsp;&nbsp; &nbsp;The key to the levers is in the Excel file &quot;Metafile&quot;. There the naming convention of technologies as well as corresponding&nbsp; combination for scenario are also available.<br> 2) &nbsp;The Access database Scenario_discovery_database.mbd contans results from the 324 runs.<br> &nbsp;&nbsp; &nbsp;The key to the scenarios are in the Excel file &quot;Metafile&quot; tab &quot;Scenario_key&quot;.<br> 3) &nbsp;The file OSeMOSYS_SAMBA_161130.txt is the version OSeMOSYS that was used to run all scenarios.<br> 4) &nbsp;The PRIM analysis is available on the GitHub repository: https://github.com/NMoksnes/Scenario_discovery</p>

opencc-by-4.0Dec 2018View details →
dryad28/100

Data from: The metabolic cost of changing walking speeds is significant, implies lower optimal speeds for shorter distances, and increases daily energy estimates

Open the record for dataset details and reuse information.

publicAug 2015View details →
dryad28/100

Data from: Turbulence induces metabolically costly behaviors and inhibits food capture in oyster larvae, causing net energy loss

Open the record for dataset details and reuse information.

publicJul 2017View details →
geo24/100

Detoxification activity and energy cost is attenuated in the whiteflies feeding on Tomato yellow leaf curl China virus-infected tobacco plants

GEO Series GSE30409. Bemisia tabaci. 2 samples. Type: Expression profiling by high throughput sequencing.

openGEO-OpenMay 2013View details →
zenodo24/100

Data for "Reducing operational costs of offshore HVDC energy export systems through optimized maintenance"

<p>The files in this record contain the scripts, input data and results for the maintenance model described in the above publication (will be added later).</p> <p>To use the scripts, you need the software MATLAB (min. version 2016b).</p> <p>Steps to run the model:</p> <p>1. run &quot;ini.m&quot;</p> <p>2. run &quot;szenarien_~&quot;</p> <p>3. save the results in the directory &quot;Ergebnisse&quot;</p> <p>4. run scripts located in the directory &quot;Auswertungen&quot;</p>

opencc-by-4.0Dec 2019View details →
ClinicalTrials.gov24/100

Energy Cost for Holding a MedGem® Indirect Calorimeter

ClinicalTrials.gov study NCT03035903. IPD Sharing: NO. Countries: 1. Publications: 0.

closedIPD-NOFeb 2026View details →
ClinicalTrials.gov24/100

Influence of Muscle Strength on the Energy Cost of Walking in Obese Subjects

ClinicalTrials.gov study NCT01794377. IPD Sharing: Not stated. Countries: 1. Publications: 0.

restrictedIPD-UNDECIDEDFeb 2026View details →
ClinicalTrials.gov24/100

Energy Metabolism and Cost of Physical Activities Using Whole Body Calorimeter

ClinicalTrials.gov study NCT02594618. IPD Sharing: Not stated. Countries: 1. Publications: 0.

restrictedIPD-UNDECIDEDFeb 2026View details →
ClinicalTrials.gov24/100

The Energy Cost of 1-Hour Football Training

ClinicalTrials.gov study NCT06477705. IPD Sharing: Not stated. Countries: 1. Publications: 0.

restrictedIPD-UNDECIDEDFeb 2026View details →
ClinicalTrials.gov20/100

Study on Energy Cost Prediction of Cycle Ergometer

ClinicalTrials.gov study NCT01077219. IPD Sharing: Not stated. Countries: 0. Publications: 0.

restrictedIPD-UNDECIDEDFeb 2026View details →
ClinicalTrials.gov20/100

Effect of Simulated Weight Loss on the Energy Cost of Locomotion in Overweight or Obese Adolescents

ClinicalTrials.gov study NCT07155746. IPD Sharing: Not stated. Countries: 0. Publications: 0.

restrictedIPD-UNDECIDEDFeb 2026View details →
zenodo12/100

sEEnergies energy system cost database

<p>This database is used in the quantification of total annualised energy system costs for the scenario determination for all 28 EU countries in sEEnergies. The Microsoft Excel database called &ldquo;Seenergies energy system cost database&rdquo;&nbsp;contains seven main datasets for the different components of the energy system energy efficiency transition.&nbsp;</p>

restrictedJun 2021View details →

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