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141 results for “basketball”
Data used in the manuscript - A Hierarchical Approach for Evaluating Athlete Performance with an Application in Elite Basketball
<p>The database contains several datasets and files with NBA statistical data spanning four seasons (2015-2016 to 2018-2019). These datasets were procured from the Basketball Reference database (https://www.basketball-reference.com/), a publicly accessible source of NBA data. </p> <p>The main file, `dat.cleaned.csv`, includes the Win/Loss records for all thirty NBA teams, along with box scores and advanced statistics. The data captured over the four seasons correspond to about 4,920 regular-season games. A distinguishing feature of this dataset is the repeated measurements per player within a team across the seasons. However, it's important to note that these repeated measurements are not independent, necessitating the use of hierarchical modelling to properly handle the data.</p> <p>Two sets of additional text files (`per_2017.txt`, `per_2018.txt`, `rpm_2017.txt`, `rpm_2018.txt`) provide specific metrics for player performance. The 'PER' files contain the Athlete Efficiency Rating (PER) for the years 2017 and 2018. The 'RPM' files contain the ESPN-developed score called Real Plus-Minus (RPM) for the same years.</p> <p>However, potential biases or limitations within the datasets should be acknowledged. For instance, the Basketball Reference website might not include data from some matches or may exclude certain variables, potentially affecting the quality and accuracy of the dataset. </p>
Hang-Time HAR: A Benchmark Dataset for Basketball Activity Recognition using Wrist-worn Inertial Sensors
<p>In this paper we present a benchmark dataset for evaluation of physical human activity recognition from wrist-worn sensors, for the specific setting of basketball training, drills, and games.<br> Basketball activities lend themselves well for measurement by wrist-worn inertial sensors, and systems that are able to detect such sport-relevant activities could be used in applications toward game analysis, guided training, and personal physical activity tracking.<br> The dataset was recorded for two teams from separate countries (USA and Germany) with a total of 24 players who wore an inertial sensor on their wrist and spanned both repetitive basketball training sessions and full games.<br> Particular features of this dataset include an inherent variance through cultural differences in game rules and styles as the data was recorded in two countries, as well as different sport skill levels, since the participants were heterogeneous in terms of prior basketball experience.<br> We illustrate the datasets' features in several time-series analyses and report on a baseline classification performance study with a state-of-the-art deep learning architecture.</p>
Basketball made by Karhu
This brown leather basketball was made by Karhu in 1951. Basketball was still a young sport in Finland in the 1950's. The national basketball association had been founded just before the war in 1939. This newcomer status was reflected in the fact that the balls used at the Olympic basketball tournament in 1952 were provided by Karhu's Italian rival company. In most other sports the Olympic organisers favoured equipment produced by Finnish domestic manufacturers. Source: Objaverse 1.0 / Sketchfab
PHYAFB: A new database of the analysis of the physiological needs in amateur female basketball during official matches
<p>The Physiological Analysis of Female Basketball players (PHYAFB) database is a valuable resource for studying the physiological demands placed on female amateur basketball players during official games. This database includes heart rate data from ten female players aged between 18 and 26 years, which were collected during ten high-stress matches played during a crucial relegation phase. In total, almost 350,000 heart rate samples have been reported. The data is stored in CSV format, facilitating easy access and analysis, and the database comes with Python source code to support initial examination.</p><p>The primary aim of the PHYAFB database is to provide a useful reference for other teams facing similar situations. Furthermore, the database represents a unique and valuable resource for sports scientists, coaches, and trainers seeking to comprehend the physiological demands of female basketball players during official competitions. Through the analysis of heart rate data, coaches and trainers can identify the intensity and duration of physical activity during games, enabling the development of more effective training programs. Additionally, the database can be used to compare the physiological demands placed on male and female basketball players or to investigate the impact of different game strategies on player performance.</p>
Hanno Möttölä's Basketball Shoe
Hanno Möttölä was the first Finnish player in the National Basketball Association (NBA). He represented the Atlanta Hawks for two seasons between 2000 and 2002, after of which he played for many years in top European leagues. The shoes made by Adidas are of the impressive size of 52 2/3. Möttölä's height is 209 centimetres. Source: Objaverse 1.0 / Sketchfab
Combined Land- and Water-Based Core and Lower Extremity Strength Training in Improving the Jump Performance Among Volleyball and Basketball Players
ClinicalTrials.gov study NCT06412809. IPD Sharing: NO. Countries: 1. Publications: 12.
Investigation of the Effectiveness of Myofascial Release Technique in Young Basketball Players
ClinicalTrials.gov study NCT05675514. IPD Sharing: NO. Countries: 1. Publications: 18.
Virtual Reality Rehabilitation for Shoulder Injuries in Female College Basketball Players
ClinicalTrials.gov study NCT07110649. IPD Sharing: NO. Countries: 1. Publications: 1.
Perceptual-Motor Performance in Elite Basketball Players
ClinicalTrials.gov study NCT07253623. IPD Sharing: YES. Countries: 1. Publications: 0.
The impact of team and athlete activist behaviors on fan loyalty and team identification: A study on the changing dynamics of fan loyalty in the Chinese Basketball Association
<p>This research examines brand loyalty and team identification among fans of professional basketball and Chinese Basketball Association (CBA) teams and how loyalty to basketball, CBA teams and athletes is impacted by the changing dynamics of the fanbase. Brand loyalty in sports is complex and fan attachment to teams often provoke intense emotional responses. The research employed a Likert-type survey questionnaire pre- and post-test and an emotional response pictorial assessment using Self-Assessment Manakin (SAM) to measure emotional dimensions (valence and arousal). Descriptive and parametric statistics were used to measure the relationships between CBA team loyalty, emotional response and team and player social activist behaviors. The research also assesses the relationships between demographics and background and team and player activist behaviors to determine changes in fan dynamics. The findings show moderate positive relationships between fan loyalty, team and player activist behaviors, younger age and middle income. These findings suggest that CBA fans who are committed to and identify with their favorite teams tend to have greater emotional responses to negative and positive media about their teams and that strong emotions toward team efforts for community activism and sustainability are likely to drive stronger feelings of loyalty to teams.</p>
Temporal Networks - Football, Handball, Basketball
<p>This is a collection of datasets used for research in the field of Temporal Networks</p> <p> </p> <p>We have first used these datasets in the following publication:</p> <p>O.Kostakis, N.Tatti, A.Gionis, "Discovering recurrent activity in temporal networks", Data Mining and Knowledge Discovery, Special Issue in Sports Analytics, 2016.</p> <p> </p> <p>In summary, this collection contains three different datasets. The first is data about all matches in the 1996-'97 English Premier League. The second dataset contains a temporal network corresponding to team-passing activity of a handball team. Finally, the third dataset contains play-by-play information for 1101 basketball matches of the 2014-'15 NBA season. Within each folder, you will find a separate README file for each dataset.</p> <p> </p> <p>Disclaimer:</p> <p>We do not claim to have produced or own the data. We do not claim the correctness of the data.</p> <p>We provide the data only for reasons related to Research, including but not limited to research reproducibility.</p>
Shawn Huff's basketball shirt
Shawn Huff used this shirt while playing for the Finland national team in the 2014 FIBA Basketball World Cup. Source: Objaverse 1.0 / Sketchfab
Former Polish basketball players
<p>Study about former Polish basketball players. "The work was created as a result of the implementation of the scientific activity No.<br> 2020/04 / X / HS4 / 00584 financed by the Polish National Science Center".</p>
Investigating the Eye Movement Characteristics of Basketball Players Executing 3-Point Shot at Varied Intensities and their Correlation with Shot Accuracy
<h2>不同强度三分球运动员眼球运动特征及其与投篮命中率的相关性研究</h2>
"Play by Play": a dataset of handball and basketball game situations in a standardized space
<p>Synthetic dataset of labeled game situations present in recordings of federated handball and basketball matches played in Galicia, Spain. The dataset consists of synthetic data generated from real video frames, including 308,805 labeled handball frames and 56,578 labeled basketball frames extracted from 2,105 handball and 383 basketball 5-second video clips.</p> <p>For each frame, the dataset includes player positions and directions (x, y, vx, vy), and ball position (referees are also considered as players, we do not distinguish teams or players from referees). For each tuple there is an associated game situation: right/left attack, right/left counterattack, right/left penalty and time out.</p>
Data from: Trait compensation and sex-specific aging of performance in male and female professional basketball players
Phenotypic traits are often influenced by dynamic resource allocation trade-offs which, when occurring over the course of individual lifespans, may manifest as trait aging. Although aging is studied for a variety of traits that are closely tied to reproduction or reproductive effort, the aging of multiple traits related to fitness in other ways are less well understood. We took advantage of almost 30 years of data on human whole-organism performance in the National Basketball Association (U.S.A.) to examine trends of aging in performance traits associated with scoring. Given that patterns of aging differ between sexes in other animal species, we also analysed a smaller dataset on players in the Women's National Basketball Association to test for potential sex differences in the aging of comparable traits. We tested the hypothesis that age-related changes in a specific aspect of overall performance can be compensated for by elevated expression of another, related aspect. Our analyses suggest that the aging of performance traits used in basketball is generally characterised by senescence in males, whereas age-related changes in basketball performance are less evident in females. Our data also indicate a different rate of senescence of different performance traits associated with scoring over a male's lifetime.
"Empirical study on Visual Attention Characteristics of basketball players of different levels during free-throw shooting"AOI and Heatmap
<p>“罚球投篮中不同水平篮球运动员视觉注意力特征的实证研究”AOI与热图</p>
Basketball
Textured basketball Source: Objaverse 1.0 / Sketchfab
Basketball Intervention Program in Children
ClinicalTrials.gov study NCT07007624. IPD Sharing: Not stated. Countries: 1. Publications: 2.
Upper Extremity Stability and Balance in Youth Basketball Players
ClinicalTrials.gov study NCT06907940. IPD Sharing: NO. Countries: 1. Publications: 1.
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International Brain Laboratory public data
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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.