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        <datestamp>2026-09-13T10:40:12Z</datestamp>
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          <dc:title>Data and R code for: Multidimensional reliability and validity of the mobile virtual reality subjective visual vertical (MVR-SVV) measurement system in inpatients with stroke</dc:title>
          <dc:creator>Toshiya Nezu (24848992)</dc:creator>
          <dc:creator>Tatsuya Igarashi (12913724)</dc:creator>
          <dc:creator>Shunsuke Suzuki (25600)</dc:creator>
          <dc:creator>Shingo Hirano (2720032)</dc:creator>
          <dc:creator>Shota Hayashi (12913715)</dc:creator>
          <dc:creator>Motoshige Yamashina (19746347)</dc:creator>
          <dc:creator>Yuji Fujino (2327)</dc:creator>
          <dc:subject>Physiotherapy</dc:subject>
          <dc:subject>Rehabilitation</dc:subject>
          <dc:subject>subjective visual vertical</dc:subject>
          <dc:subject>stroke</dc:subject>
          <dc:subject>inter-rater reliability</dc:subject>
          <dc:subject>measurement error</dc:subject>
          <dc:subject>virtual reality</dc:subject>
          <dc:subject>verticality perception</dc:subject>
          <dc:description>&lt;p dir="ltr"&gt;This dataset contains the de-identified participant-level data and the R code supporting a study of the inter-rater reliability, measurement error, and convergent validity of a mobile virtual reality subjective visual vertical (MVR-SVV) measurement system in 40 inpatients assessed in the acute phase after stroke.&lt;/p&gt;&lt;p dir="ltr"&gt;Files: svv_analysis.csv is the de-identified participant-level dataset (n = 40), reporting the mean and standard deviation of the 10 trials of each measurement together with demographic and clinical characteristics. SVV_figures.R is a base-R script that reproduces Figures 3-6 and the reported reliability, agreement and bootstrap statistics. data_integrity_check.R verifies, for every measurement, that the tilt-corrected value equals the raw angle minus the recorded device tilt. README.md contains the full data dictionary, reproduction instructions and de-identification details.&lt;/p&gt;&lt;p dir="ltr"&gt;To reproduce the figures and statistics, place svv_analysis.csv and SVV_figures.R in the same directory and run source("SVV_figures.R", encoding = "UTF-8") in R. No packages beyond base R are required. Code comments are written in Japanese.&lt;/p&gt;&lt;p dir="ltr"&gt;De-identification: participant identifiers were renumbered sequentially (1-40) and are not linked to any clinical record; measurement dates were removed; rater identities are given as Rater A and Rater B; and variables collected in the same cohort but belonging to a separate, unpublished study are not included. The study was approved by the institutional ethics review committee of the participating hospital, and written informed consent was obtained from all participants before participation.&lt;/p&gt;</dc:description>
          <dc:date>2026-09-13T10:40:12Z</dc:date>
          <dc:type>Dataset</dc:type>
          <dc:type>Dataset</dc:type>
          <dc:identifier>10.6084/m9.figshare.33690013.v1</dc:identifier>
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          <dc:rights>CC BY 4.0</dc:rights>
          <dc:rights>Open Access after 2028-09-13</dc:rights>
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