Resultados de investigación

1.Description of the methodology used to generate the dataset. The data were analysed using non-parametric statistical tests because they did not conform to a normal distribution. For this purpose, the Kolmogorov–Smirnov normality test was used. A bivariate correlation was performed using Spearman’s Rho test between the different constructs and factors that made up the SCQ-S tool in the sample under study. Likewise, using the chi-square test, we attempted to determine the relationship between the different nominal categorical variables added to the tool. Independent samples mean analysis was also performed using the Mann–Whitney U-test when the number of groups was 2 and the Kruskal–Wallis test when the number of groups was greater than 2. In addition, exploratory factor analysis was performed using principal axis factoring and Vari-max rotation based on a fixed number of 9 factors to be extracted, determined by a previous thorough literature review. The adequacy of the sample and the reliability of the factor models were assessed using Kaiser–Meyer–Olkin and Cronbach’s alpha. Descriptive data on means and standard deviations of the numerical variables included in the study were also obtained. 2. Software or tools needed to interpret the data. [Include the version of the software. If specific software with restricted access is required, explain how to obtain it. Assess whether it is possible to change the dataset to an open format (recommended)]. Data analysis was carried out with Statistical Package for Social Science® software, version 28 (SPSS®, Chicago, IL, USA). 3. Procedures followed for data quality assurance. The level of statistical significance was p < 0.05. For those cases where significance was obtained, effect size and statistical power were analysed using G*Power 3.1.9.7.

This repository contains data associated with Figure 2 from the article “The miRNA199a/SIRT1/P300/Yy1/sST2 signaling axis regulates adverse cardiac remodeling following MI” (DOI: 10.1038/s41598-021-82745-9), including the complete figure, supporting quantification data, and the original unprocessed images underlying panel h (WGA staining).

This dataset contains the verified match performance metrics used to evaluate the tactical influence of ruck contact exposure and breakdown efficiency on match outcomes in international rugby union. The data tracks actions from senior men's international matches played by the Spanish national team (Los Leones).The repository consists of the primary, fully annotated, and cross-validated dataset in native Jamovi format (.omv). Starting from a comprehensive multi-phase tactical record of 3,383 actions, a selective filter was embedded to strictly isolate the rucking phase. After removing missing values, the final analyzed sample comprises exactly N = 2,339 operational rucks across 20 international matches.Variables include pitch territory, match half, player type, gainline progression, sequence phase length, and breakdown player density. The structured data supports a multivariate binomial logistic regression model (overall accuracy: 59.1%; AUC = 0.632, allowing researchers and sports analysts to fully replicate the published odds ratios, confusion matrices, and estimated marginal means.

METHODOLOGICAL INFORMATION AND SAMPLE SIZE This study followed a longitudinal, prospective, and multi-cohort quasi-experimental design. The initial clinical recruitment comprised 72 breast cancer survivors referred by the Murcian Health Service (Servicio Murciano de Salud, SMS) across health zones 1, 6, and 7. The source population presented high clinical heterogeneity, incorporating patients undergoing both conservative surgical procedures (lumpectomy, quadrantectomy, oncoplasty; 37.5%, n = 16) and radical/non-conservative interventions (complete, modified, or bilateral mastectomy; 52.8%, $n = 23$; along with additional bilateral procedures, 9.7%, $n = 4$), combined with or without axillary lymph node dissection and sentinel lymph node biopsy. The final statistical monitoring focused on a strict per-protocol sample of 36 participants ($n = 36$) who complied with the clinical compliance threshold (Cumulative Attendance Percentage > 33.33%) and possessed complete data rows across all operational time points. Neuromuscular performance was tracked at baseline pre-intervention (PRE) and following a 12-week supervised resistance training macrocycle (POST). Because each participant was measured repeatedly across both upper limbs (Operated vs. Non-Operated), the final longitudinal data matrix contains a total volume of exactly $N = 128$ independent longitudinal observations ($obs$) clustered hierarchically within patients.