2026-10-11T20:21:48Z
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oai:figshare.com:article/34025527
2026-09-29T17:23:19Z
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<p>Annual source-data coverage and analytical player-year observation counts by elite status and COVID-period classification.</p>
Michal Bozděch (13296415)
Environmental Sciences not elsewhere classified
Sociology
Biological Sciences not elsewhere classified
Science Policy
Plant Biology
xlink "> long
system scenarios rather
spline models showed
lagged sensitivity analyses
individual participation requirements
female junior tennis
defined annually using
57 versus 29
38 versus 17
81 %, 8
25 %, respectively
higher projected efficiency
median singles ppe
higher subsequent ppe
persistently higher ranking
year models adjusted
elite versus 26
point production efficiency
observed linear trend
fixed trp benchmarks
2004 &# 8211
total ppe defined
repeated player observations
total ranking points
2025 </ p
year elite status
total ppe
year observations
97 %,
point procedure
performance efficiency
efficiency demands
doubles ppe
elite status
year elite
linear player
510 player
status interactions
conditional ranking
trp divided
trp ),
term changes
temporal differentiation
stage data
significantly different
rising performance
physiological load
<p>The table reports the number of female records represented in the original source dataset, the deepest observed ITF ranking position within each year, and the corresponding number of player-year observations retained in the analytical dataset. Analytical observations are additionally reported by elite status and according to the availability of Singles PPE, Doubles PPE, and Total PPE. The COVID-period classification identifies the COVID-disrupted seasons and the immediate post-COVID transition year used in the sensitivity analyses.</p> <p>(XLSX)</p>
2026-09-29T17:23:14Z
Dataset
Dataset
10.1371/journal.pone.0359538.s003
https://figshare.com/articles/dataset/_p_Annual_source-data_coverage_and_analytical_player-year_observation_counts_by_elite_status_and_COVID-period_classification_p_/34025527
CC BY 4.0