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Raw data for manuscript paper

This dataset supports the manuscript related to the TCV-RRE algorithm. It contains original experimental videos, LS-T laser-reference records, table-sensor records, camera-calibration results, synchronized and cropped displacement time histories, and derived evaluation results from horizontal shaking-table tests of the TCV-RRE camera-based relative-displacement measurement method. The experiments cover harmonic excitation, earthquake excitation, free-decay vibration, and deliberate visual occlusion, together with associated ablation analyses. The machine-readable files include camera and LS-T displacement measurements, evaluation metrics, frequency-domain results, damping-identification results, active-node ratios, and the numerical data used to generate the figures and tables in the manuscript. The accompanying README describes the experimental conditions, case numbering, file correspondence, key data columns and physical units, processing stages, selected evaluation intervals, and directory structure. The implementation source code of TCV-RRE is not included.

This replication package includes dataset, code, and documentation required to reproduce the empirical results reported in the above-mentioned paper. Its purpose is to promote research transparency and to facilitate independent verification and replication of this study’s statistical analyses.

This dataset contains the materials used in the study “Semantic Drift, Metaphor Vulnerability, and Emotional Meaning in Health Translation: A Corpus-Based Comparison of English-French and English-Japanese Subtitles.” Supplementary Data 1 contains the coded results for all 217 health-related English-French-Japanese segments analyzed in the study. Supplementary Data 2 contains the 25% validation subset used for independent reliability assessment. Supplementary Code 1 contains the Python code used to identify and extract the 217 study segments from the TED2020 parallel corpus.

This dataset provides the research-data and reproducibility materials supporting the review article “Climate-Aware EV Battery Degradation and State of Health in Tropical Operating Contexts.” It includes the search and source ledger, benchmark-method documentation, literature-derived plotting inputs, reproducible plotting code, figure outputs, and SHA-256 checksums used for the contextual state-of-health benchmark figures. The materials support transparency and reproducibility of the literature-derived synthesis and do not represent a new experimental EV fleet dataset or a pooled tropical-versus-temperate degradation analysis.

Full data for the work including mRNA data extraction and differential expression analysis preceded by data cleaning and normalization, WGCN, PPIN, FFL construction and analyses. The folder contains R scripts, data files, and cytoscape files for the study used.

The dataset was updated to include seven additional tuberculosis studies identified during citation chasing. The corrected primary hypertension-prevalence analysis now includes 82 independent estimates: 71 HIV, 10 tuberculosis, and 1 HIV/TB-coinfection estimate. This version supersedes Version 1 for analysis and reproducibility.

This repository provides a versioned reconstruction and transparency package accompanying the systematic review, multilevel meta-analysis, qualitative synthesis, profile analysis, and fuzzy-set qualitative comparative analysis reported in Agentic AI in Education: A Systematic Review, Multilevel Meta-Analysis, and Configurational Synthesis of Learning and Human Agency. It consolidates the review information recoverable from the submitted manuscript and supplementary appendix, including protocol-history documentation, search strategies and aggregate retrieval records, screening and linkage accounting, study and outcome summaries, coding and risk-of-bias summaries, qualitative synthesis records, reported meta-analytic and robustness results, profile and configurational summaries, figure-reconstruction code, and software-environment documentation. Files explicitly identified as reconstructions are retrospective records and are not represented as recovered contemporaneous logs, original row-level extraction data, or fitted analytical objects. Copyright-protected source articles and restricted source text are not redistributed.

Raw WB images, electrophoresis gels, primer sequences, mass spectrometry result and numerical data supporting the conclusions in *Cryptosporidium parvum* dense granule protein DG9 interacts with DG10 at the parasite-host interface.

The data set comprises a set of fish video recordings collected from various sources around and in Mangalore, Karnataka, India. The videos represent a variety of fish examples in various environments and aim to be a general sample of real world observations of fish. There are both single and multi fish recordings with variations in appearance, size, colour, movement and position of the recorded fish within the surrounding environment. The dataset is created by gathering fish recordings together to be accessed and utilized as a shared resource for future research. In some videos, the fish are visible and there are no reflections, objects or changes in visibility in the background. The differences are a part of the collected data and are a natural variation that can be seen within naturally obtained fish videos. The data set may also be used to investigate the performance of the various methods when the fish are captured in videos taken in different conditions. The videos obtained are from external sources and where applicable the source information should be retained. Overall, the dataset provides a general collection of fish videos that can be used as a reference and resource for future research and educational purposes.