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11 results for “Female basketball”

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zenodo36/100

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&nbsp;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>

opencc-by-4.0Jul 2023View details →
ClinicalTrials.gov36/100

Virtual Reality Rehabilitation for Shoulder Injuries in Female College Basketball Players

ClinicalTrials.gov study NCT07110649. IPD Sharing: NO. Countries: 1. Publications: 1.

closedIPD-NOFeb 2026View details →
dryad32/100

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.

opencc-zeroDec 2013View details →
ClinicalTrials.gov32/100

Combination of Two Osteopathic Techniques for the Hamstring's Stretching Capacity in Basketball Female Players

ClinicalTrials.gov study NCT06357611. IPD Sharing: Not stated. Countries: 1. Publications: 3.

restrictedIPD-UNDECIDEDFeb 2026View details →
dryad32/100

Data from: Trait compensation and sex-specific aging of performance in male and female professional basketball players

Open the record for dataset details and reuse information.

publicJan 2014View details →
zenodo28/100

Replication data for High-impact details of play and movements with higher trunk acceleration in female basketball game

<p>This study aimed to identify the high-impact details of play and movements with higher acceleration and their frequency during a female basketball match. Trunk acceleration was measured during a simulated basketball game with eight female players. We categorized the various actions as details of play and movements generated at &gt;6 and 8G resultant accelerations using a video recording and an accelerometer attached to the players&rsquo; trunk. The frequency and ratio of the details of play and movements about all detected movements were calculated. A total of 1062 and 223 play actions were detected for the resultant acceleration thresholds of &gt;6 and 8G, respectively. For these acceleration thresholds, in terms of details of play, positioning on the half-court was the most frequently observed (29.6% and 23.8%, respectively). In the terms of movements, deceleration was the most frequently detected movement (21.5% and 23.3%, respectively), followed by landing (7.6 and 15.7%, respectively). The results also showed that characteristics of movements or playing style and position of play might have an effect on acceleration patterns during a basketball game. Monitoring the frequency and intensity of these movements and details of play can help to quantify the biomechanical load experienced by basketball players.</p>

opencc-by-4.0Aug 2020View details →
ClinicalTrials.gov24/100

Effect of Weekly Plyometric Training Frequency on Youth Female Basketball Players: A Comparison of Two vs. Four Sessions

ClinicalTrials.gov study NCT06354725. IPD Sharing: YES. Countries: 1. Publications: 0.

controlledIPD-YESFeb 2026View details →
ClinicalTrials.gov24/100

Effectiveness of Core Training on the Biomechanics of Jump Landing in Amateur Female Basketball Players

ClinicalTrials.gov study NCT06633237. IPD Sharing: NO. Countries: 1. Publications: 0.

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

The Effect of Upper Extremity Plyometric Exercises on Proprioception, Time to Peak Torque and Performance in Young Female Basketball Players

ClinicalTrials.gov study NCT05559216. IPD Sharing: NO. Countries: 1. Publications: 0.

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

A Gluteus Maximus Strength Exercise Effectiveness for Improving Dynamic Postural Control in Female Basketball Players

ClinicalTrials.gov study NCT05206786. IPD Sharing: Not stated. Countries: 1. Publications: 0.

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

Plyometric and Stability Exercise Protocol in Female Basketball Players

ClinicalTrials.gov study NCT06423157. IPD Sharing: Not stated. Countries: 1. Publications: 0.

restrictedIPD-UNDECIDEDFeb 2026View details →

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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.

allen-brain-atlas
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Last verified 2026-04-30Open record

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.

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behavioral-neuroscienceopenThe DataShare record exposes download links for annotations, documentation, license text, and the zipped per-snippet data directory.
Last verified 2026-04-30Open record

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.

dandi-nwb
electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
Last verified 2026-04-30Open record

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.

ibl
behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.
Last verified 2026-04-29Open record

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.

openneuro
neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record