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235 results for “soccer”
Data from: General perceptual-cognitive abilities: age and position in soccer
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Level of play and coach-rated game intelligence are related to performance on design fluency in elite soccer players
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The brains of elite soccer players are subject to experience-dependent alterations in white matter connectivity
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Accelerometer-based network analysis in female soccer: performance levels
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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> - contains all Oxygen data plus a script to run the data.</p> <p> - Subjectxx - folder with oxygen data.</p> <p> - GasdataMohammad [type of file: MATLAB code (.m)] - script to analyze the oxygen data. The outcomes have been saved as RestECnet, PWSECnet, and IVTECnet [type of files: MATLAB data (.mat)].</p> <p> - EC_Stat_boxplot [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 show the outcome in boxplot together with individual data points (The results have been presented in <strong>Fig 2.</strong>)</p> <p> </p> <p><strong>Kinematic Data</strong> - contains all Kinematic data plus scripts to run the data:</p> <p> - Subjectxx - folder with kinematics data.</p> <p> - Rest_VAR [type of file: MATLAB code (.m)] - script to analyze the kinematics data in the Rest recovery session. The outcomes have been saved as RestVAR [type of file: MATLAB data (.mat)]. The corresponding plots, per subject & per trial, have been saved in the Plots folder.</p> <p> - PWS_VAR [type of file: MATLAB code (.m)] - script to analyze the kinematics data in the PWS recovery session. The outcomes have been saved as PWSVAR [type of file: MATLAB data (.mat)]. The corresponding plots, per subject & per trial, have been saved in the Plots folder.</p> <p> - IVT_VAR [type of file: MATLAB code (.m)] - script to analyze the kinematics data in the IVT recovery session. The outcomes have been saved as IVTVAR [type of file: MATLAB data (.mat)]. The corresponding plots, per subject & per trial, have been saved in the Plots folder.</p> <p> - 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 data points (The results have been presented in <strong>Fig 3.</strong>).</p> <p> - VAR_Sagittal_Stat_boxplot [type of file: MATLAB code (.m)] - script to statistically test the hypotheses in terms of gait variability in sagittal 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> - VAR_Frontal_Stat_boxplot [type of file: MATLAB code (.m)] - script to statistically test the hypotheses in terms 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> - VAR_Horizontal_Stat_boxplot [type of file: MATLAB code (.m)] - script to statistically test the hypotheses in 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> - normalizetimebase [type of file: MATLAB code (.m)] – function to normalize VAR from 0 to 100% of the gait cycle.</p> <p> - VAR_Sagittal [type of file: JASP/Jamovie files (.jasp/.omv)] - 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> - VAR_Frontal [type of file: JASP/Jamovie files (.jasp/.omv)] - 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> - VAR_Horizontal [type of file: JASP/Jamovie files (.jasp/.omv)] - 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> + Trunk Stability - folder includes all outcomes and codes in terms of gait stability:</p> <p> -Thoracic [type of file: Excell file (.xlsx)] - general file includes all outcomes in terms of gait stability.</p> <p> - LDS_Stat_boxplot [type of file: MATLAB code (.m)] - script to statistically test the hypotheses in terms of gait stability (λ sagittal, λ frontal, and λ horizontal) and to show the outcome in boxplot together with individual data points (The results have been presented in <strong>Fig 5.</strong>).</p> <p> - 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 Interaction effect (Time vs Recovery), and to show the outcome in boxplot together with individual data points.</p> <p> - LDS_Frontal_Stat_boxplot [type of file: MATLAB code (.m)] - 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> - LDS_Horizontal_Stat_boxplot [type of file: MATLAB code (.m)] - script to statistically test the hypotheses in terms of gait stability 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> - Rest_LDS_Sagittal [type of file: Excell file (.xlsx)] - file includes LDS outcomes in the Rest recovery session and in the sagittal plane.</p> <p> - Rest_LDS_Frontal [type of file: Excell file (.xlsx)] - file includes LDS outcomes in the Rest recovery session and in the frontal plane.</p> <p> - Rest_LDS_Horizontal [type of file: Excell file (.xlsx)] - file includes LDS outcomes in the Rest recovery session and in the horizontal plane.</p> <p> - PWS_LDS_Sagittal [type of file: Excell file (.xlsx)] - file includes LDS outcomes in the PWS recovery session and in the sagittal plane.</p> <p> - PWS_LDS_Frontal [type of file: Excell file (.xlsx)] - file includes LDS outcomes in the PWS recovery session and in the frontal plane.</p> <p> - PWS_LDS_Horizontal [type of file: Excell file (.xlsx)] - file includes LDS outcomes in the PWS recovery session and in the horizontal plane.</p> <p> - IVT_LDS_Sagittal [type of file: Excell file (.xlsx)] - file includes LDS outcomes in the IVT recovery session and in the sagittal plane.</p> <p> - IVT_LDS_Frontal [type of file: Excell file (.xlsx)] - file includes LDS outcomes in the IVT recovery session and in the frontal plane.</p> <p> - IVT_LDS_Horizontal [type of file: Excell file (.xlsx)] - file includes LDS outcomes in the IVT recovery session and in the horizontal plane.</p> <p> - LDS_sagittal [type of files: JASP/Jamovie files (.jasp/.omv)] - 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> - LDS_frontal [type of files: JASP/Jamovie files (.jasp/.omv)] - 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> - LDS_horizontal [type of files: JASP/Jamovie file (.jasp/.omv)] - 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> </p> <p><strong>Movies</strong> –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> </p> <p><strong>The characteristics of participants</strong> [type of file: Excell file (.xlsx)] – file includes 4 sheets:</p> <p> - Sheet 1 includes height (cm), weight (kg), age (year), BMI, and body fat percentage of each participant.</p> <p> - 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> </p>
Physical activities of players during the 2018 Soccer World Cup
<p>Physical activities of players during the 2018 Soccer World Cup</p>
Effect of Acute Sleep Hygiene on Salivary Cortisol Level Following A Late Night Soccer-Specific Training Session
<p>Letter to the editor with data, no abstract available</p>
TACDEC: Dataset of Tackle Events in Soccer Game Videos
<p>TACDEC is a dataset of tackle events in soccer game videos. Recognizing the gap in existing open datasets that predominantly focus on official soccer events such as goals and cards, TACDEC targets a comprehensive analysis of tackles — a critical aspect of soccer that combines technical skills, tactical decision-making, and physical engagement. By leveraging video data from the Norwegian Eliteserien league across multiple seasons, we annotated 425 videos with 4 types of tackle events, categorized into "tackle-live", "tackle-replay", "tackle-live-incomplete", and "tackle-replay-incomplete", yielding a total of 836 event annotations. The dataset offers an unprecedented resource for the development and testing of machine learning models aimed at understanding and analyzing soccer game dynamics.</p>
The SoccerSum Dataset for Automated Detection, Segmentation, and Tracking of Objects on the Soccer Pitch
<p>The SoccerSum dataset was curated by capturing and annotating soccer videos from the Norwegian Eliteserien league. This collection spans three years, covering 2021, 2022, and 2023. It comprises 750 frames from 41 unique sequences, with 4 to 40 frames per sequence, carefully chosen to represent a diverse selection of scenarios encountered in professional soccer games.</p>
Carbohydrate Mouth Rinse Reduces Perceived Exertion and Mental Fatigue, and Improves Technical Actions during Small-Sided Soccer Games
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The preparation of the COgITOR Soft Robot soccer ball shaped skin with SOLIDWORKS at the PC for 3D printing
<p><a href="https://www.cogitor-project.eu/">Homepage » COGiTOR (cogitor-project.eu)</a></p> <p>This video was generated 3 November 2023 by Swiss3D GmbH.</p> <p> </p> <p> </p>
Exploring Mental Fatigue and Physical Limits in Soccer Players: Field-Based Study
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Body Composition and Sport Performance Among Young Female Soccer Players Using Subdermic Etonogestrel
ClinicalTrials.gov study NCT06775626. IPD Sharing: NO. Countries: 1. Publications: 0.
Immediate Effects of the HVLA Talocrural Distraction Technique in Soccer Players
ClinicalTrials.gov study NCT06653491. IPD Sharing: NO. Countries: 0. Publications: 3.
The Impact of Eye and Body Training on the Injury Rate of Concussions in Female Soccer Players
ClinicalTrials.gov study NCT06473883. IPD Sharing: Not stated. Countries: 0. Publications: 50.
Soccer Intervention in Prostate Cancer Survivors
ClinicalTrials.gov study NCT04144127. IPD Sharing: NO. Countries: 1. Publications: 0.
Evaluation of Vastus Medialis Muscle Inhibition in Indoor Soccer Players with and Without ACL Injury
ClinicalTrials.gov study NCT06599164. IPD Sharing: NO. Countries: 0. Publications: 6.
Kefir, Gut Microbiota, and Athletic Performance in Soccer Players
ClinicalTrials.gov study NCT06753422. IPD Sharing: YES. Countries: 1. Publications: 0.
Acute Hamstring Strains in Danish Elite Soccer - Diagnosis and Biomechanical Tests
ClinicalTrials.gov study NCT00556517. IPD Sharing: Not stated. Countries: 0. Publications: 1.
The Role of Periodic Health Examination in Determining Indirect Muscle Injury Risk in Elite Football (Soccer)
ClinicalTrials.gov study NCT03782389. IPD Sharing: NO. Countries: 0. Publications: 2.
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Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.