Evidence map›Paper›PMID 39624664›Full record

ArticleData in brief2024

A new dataset for spatial, temporal, and tactical analysis of female handball player movements.

Raul Montoliu, Pere Urbón-Bayes, Gabriel Daza, Abraham Batalla-Gavalda

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Data in brief, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Raul MontoliuInstitute of New Imaging Technologies. Universitat Jaume I. Av. Sos Baynat, 12560 Castellon, Spain.
Pere Urbón-BayesUniversitat Oberta de Catalunya, Spain.
Gabriel DazaNational Institute of Physical Education of Catalonia (INEFC), University of Barcelona (UB), Avda. Estadi, Av. de l'Estadi 12-22, Anella Olímpica E-08038, Barcelona, Spain.
Abraham Batalla-GavaldaEUSES Escola Universitària de la Salut i l'Esport, Rovira i Virgili University, 43870 Tarragona, Spain. Department of Education and Specific Didactics. Universitat Jaume I. Av. Sos Baynat, 12560 Castellon, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This paper presents a comprehensive dataset detailing the precise indoor positioning of players from a female amateur handball team across 10 real matches. Utilizing Ultra-Wideband (UWB) technology, the dataset captures each player's x and y coordinates every second throughout the games. Additionally, a preliminary game analysis is included, specifying the initiation and termination times of each team's possession. This analysis provides a variety of labels crucial for training machine learning algorithms, encompassing distinctions such as attack or defense, structured or unstructured play, goal outcomes, and the differentiation between counter-attacks and static phases. In total, the dataset comprises 84691 positioning measurements, offering a valuable resource for in-depth study and analysis of player dynamics and game strategies in female handball.

Indexed as

Game analysisHandballPositionSportTeam sportsTime motion

Identifiers

PMID39624664
PMCPMC11609672

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.