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This replication package provides the data, code, and documentation that can be made publicly available to support replication of the main empirical analyses presented in the paper. The materials are provided to enhance transparency and facilitate independent verification of the study’s findings.

This repository contains raw, de-identified experimental data from an three-arm, parallel-group randomized controlled trial investigating the state-dependent and phase-specific effects of a single 15-minute bout of moderate-intensity continuous aerobic exercise (70% HRmax) on cognitive processing speed dynamics and verbal episodic memory performance in healthy young adults (N=105; n=35 per group). Experimental Design & Procedural Timeline (Figure 1): All eligible participants (N=105) underwent pre-enrollment screening, anthropometric profiling (height, weight, BMI), and baseline cardiovascular recording [resting heart rate (HR) and blood pressure (BP)] in the Department of Physiology, New Delhi, India. Baseline cognitive processing speed (PS1) was established using the computer-based Symbol Search Test (SST). Participants were randomly allocated using a sequentially numbered, opaque, sealed-envelope system into three experimental cohorts (n=35 per group) (Figure_1): 1. Group A (Pre-Encoding Exercise): Performed a 15-minute bout of moderate-intensity aerobic exercise (70% HRmax) immediately prior to verbal list learning/encoding. 2. Group B (Consolidation Exercise): Performed a 15-minute bout of moderate-intensity aerobic exercise during the post-encoding 15-minute memory consolidation break. 3. Group C (Continuous Rest Control): Maintained continuous seated rest throughout the intervention windows without any exercise stimulus. Equipment & Software: 1. Stationary cycle ergometer (SPORTOP B890P) equipped with integrated pulse oximetry for dynamic HR tracking. 2. Calibrated digital sphygmomanometers for BP monitoring. 3. Computerized cognitive testing administered via Inquisit 6 software (Millisecond, USA). Repository File Structure & Data Formatting: The dataset is packaged into separate, structured spreadsheet files corresponding to each experimental arm: 1. Dataset_Group_A.xlsx (35 rows × 44 columns): Contains complete demographic, baseline cardiovascular, dynamic exercise physiological monitoring in-exercise affective ratings (SFS and FAS measured at 3-min intervals), and time-course cognitive scores (PS1, PS2, PS3, and LLT memory metrics). 2. Dataset_Group_B.xlsx (35 rows × 44 columns): Structured identically to Group A. 3. Dataset_Group_C.xlsx (35 rows × 21 columns): Contains baseline demographics, resting cardiovascular measures, and time-course cognitive scores (PS1, PS2, PS3, and LLT memory metrics). Because participants in Group C remained at rest throughout the protocol without engaging in exercise intervention, all exercise-specific variables are absent (NA). 4. Data_Dictionary.pdf: Comprehensive metadata codebook defining every column name, variable label, unit of measurement, and coding structure across all spreadsheets. 5. Figure1_Study_Design.png: Flowchart image of experimental study design.

This dataset contains the open-source design and implementation files for a portable wireless optoelectronic system for liquid refractive-index sensing based on a U-shaped plastic optical-fiber (POF) sensor. The repository includes electronic design files, PCB fabrication files, editable mechanical and 3D-printing files, microcontroller firmware, Android application files, web and server software, database files, and supporting documentation required to reproduce and modify the platform. The system integrates multispectral optical detection, embedded processing, automated positioning, temperature monitoring, wireless communication, and mobile/web-based visualization. These resources accompany the related HardwareX article and are provided to support reproducibility, adaptation, and further development of low-cost optical sensing systems.

Experimental data demonstrating successful propagation of a human gut-associated picobirnavirus in bacterial cells, and thus proving the picobirnavirus is an RNA phage. Data were generated from germ-free mice and bacterial cell community cultures. A total of 68 files were provided, including qPCR/qRT-PCR, flow cytometry, fluorescence microscopy, and sequencing data.

Supplementary Fig. S1. Endothelial immunohistochemical staining. (A–C) Vascular endothelial cells are positive for ERG (A), CD34 (B), and CD31 (C) (original magnification, ×200). Supplementary Fig. S2. Additional immunohistochemical and histochemical findings. (A) CD123 staining highlights the endothelium of some small vessels. (B) CD20 staining shows focally distributed B cells. (C) Alcian blue–PAS staining shows no definite dermal mucin deposition. (D) CD3 staining shows a predominantly T-cell infiltrate (original magnification, ×100).

Child health in sub-Saharan Africa

This repository contains data associated with the X-BIO project: Cross-Architecture and Energy-Efficient Parallel Metaheuristics for Bioinformatics (PID2022-137275NA-I00), funded by MICIU/AEI/10.13039/501100011033 and by ERDF, EU. Data has been organized in the following folders: * CrossSustainability contains PHYLIP datasets used for the evaluation of cross-architecture models and sustainability aspects when running phylogenetic algorithms. Two Excel files (Profiling22cXeon6238.xlsx, Profiling32cEpyc7543.xlsx) are provided with energy results from two different platforms, reporting execution time (column "Time(s)"), power (column "Power(W)"), energy (column "Energy(J)"), and energy-delay product (column "EDP(J*s")). An additional file (ProfilingAccelerator.xlsx) reports profiling data from hardware accelerators, comparing time results from cross-architecture models. * Distances contains distance matrices in PHYLIP format, where the character '.' is employed to denote a missing distance between two organisms. Two Excel files containing profiling data on two different systems are provided. These Excel files contain measurements of execution time (in seconds) required by different imputation methods (column "Method") under different percentage of missing distances (from "5%" to "60%", with each percentage being in a separate column). The last column "Average" provides the average time across percentages. * Microbiome contains CSV data for microbiome research. OTU tables are given by the YB-GG-data.csv file, with each column denoting a separated OTU and each row a different sample. The YB-GG-labels.csv provides the labels for each OTU, using two columns (SampleID and label) to make the association. * MSA contains multiple sequence alignments in PHYLIP format, where the character '?' is employed to denote unknown site values. An Excel file containing profiling data under serial and parallel versions of different algorithms is provided. The upper half of the table in the file reports average Normalized Robinson-Foulds for the serial (column "NRF-Serial version") and parallel (column "NRF-Parallel version") implementations on each dataset. The lower half of the table reports execution times (in seconds) for each version (columns "Time-Serial version" and "Time-Parallel version"). * Phylogenetic contains reference sequences (PHYLIP format), reference phylogenies (Newick format) and query sequences (PHYLIP) for phylogenetic placement and evaluation. An Excel file containing profiling data for different search implementations is provided. The first column reports the name of the dataset and its experimental scenarios (i.e., number of query sequences). The remaining columns report the execution time (in seconds) for different independent runs (columns "Execution"), the median time (column "Median"), the variation coefficient (column "Var. Coef."), speedups over the serial version (column "Speedup") and parallel efficiency (column "Efficiency").

This dataset contains simulation-derived data used for the forward modeling and inverse design of compact lumped-element nonlinear transmission lines (NLTLs). The data were generated using a nonlinear RLC time-domain simulation framework implemented in MATLAB. The design variables include the series inductance L, zero-bias capacitance C0, capacitance reference voltage Vr, and the number of NLTL sections N. The extracted response quantities include output amplitude Aout, dominant oscillation frequency fout, transient energy Etr, and maximum current slew rate SImax. Three dataset sizes are provided, containing 1,960, 5,040, and 9,680 samples, respectively. These datasets were used to evaluate RBF, SVR, MLP, and MVPC-MTNet models for forward modeling and inverse parameter identification.

This dataset supports the quantitative analysis of sunspot group nesting, which is the tendency of solar active regions to emerge repeatedly in the same longitude-latitude zone over the course of a solar cycle. It contains processed sunspot group emergence records from two major observational catalogs, the Royal Greenwich Observatory Photoheliographic Results (RGO, 1874–1976) and the Kislovodsk Mountain Astronomical Station (KMAS, 1955–2025), together covering 14 solar cycles. Each record corresponds to the first appearance of a sunspot group on the solar disc, with its Carrington longitude, heliographic latitude, and maximum observed area in the course of its later evolution. Using these data, nesting was identified and quantified via a Kernel Density Estimation (KDE) informed DBSCAN clustering algorithm applied to the longitude-time plane in 5-degree latitude bands, separately for each solar cycle and hemisphere. The resulting nesting statistics (including nesting degree, number of significant nests, and characteristic nest separations) are provided as tabular data alongside longitude-time diagrams illustrating the identified nesting patterns. The dataset enables reproducibility of the results in the associated publication and facilitates comparison with future observational or modelling studies of solar magnetic flux emergence. See the README for details of the files provided.

This dataset contains public input data and processed benchmark outputs for deformation-induced energy-yield loss assessment in flexible photovoltaic mounting structures. It includes NASA POWER and PVGIS hourly inputs, extracted carbon-factor records, regional energy-mechanics benchmark tables, mechanics verification outputs, temporal loss diagnostics, Pareto scenario data, uncertainty/sensitivity results, and checksum metadata. The package is restricted to data files only, including CSV, JSON, MAT, and XLSX formats. It excludes manuscript files, figures, source code, executable workflows, LaTeX files, and documentation artifacts. China carbon records are provided as evidence-graded diagnostic data, while Phoenix eGRID conversion is the verified regional carbon case.