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This dataset contains MATLAB simulation files, numerical result tables, MAT files, and generated figures supporting the manuscript entitled “Waveform-Assisted Delay and Loss Shaping for Smith-Predictor-Based Networked Control over Ionized Communication Channels.” The simulations evaluate waveform-assisted delay/loss shaping under mild, moderate, and severe ionized-channel conditions with blackout-prone feedback behavior. The dataset includes MATLAB scripts, saved simulation data, generated figures, and numerical output tables used for manuscript preparation and reproducibility.

original data

This data set contains inp files for the model used in the paper - Junjie Wu , Yue Li, Xinghua Xu, Xiayang Yu, Pei Xin (2026). Effects of freeze-thaw processes on porewater flow in salt marshes

This dataset provides a comprehensive collection of raw Ziehl-Neelsen-stained sputum smear microscopy images for Mycobacterium tuberculosis bacilli detection. The dataset contains 1,438 raw microscopy images and 11,447 manually annotated bounding-box labels in YOLO format. Images were acquired using two digital microscope camera systems, Hayear and Optilab, to introduce multi-sensor variability and better represent real clinical microscopy conditions. The dataset intentionally preserves the original raw image characteristics, including natural illumination variation, staining differences, background color shifts, sensor response, and microscopic artifacts. No synthetic image enhancement, color normalization, contrast adjustment, or artificial augmentation was applied to the released images. This makes the dataset suitable for evaluating object detection models under realistic clinical imaging conditions. A metadata.csv file is provided to support stratified analysis. The metadata includes Image_ID, Data_Split, Background_Color, and Camera_System information. The Background_Color field categorizes images into Yellowish, Purplish/Pinkish, Bluish, and Greenish profiles, while the Camera_System field identifies whether each image belongs to the Hayear or Optilab camera group. These metadata fields enable researchers to analyze model performance across different staining appearances, illumination conditions, and camera-system characteristics.

related metadata and methods

This dataset was developed to examine how participation in business-oriented collective action initiatives (BCAIs) and community/livelihood-oriented collective action initiatives (CCAIs) shapes women’s empowerment among smallholder households in Central Kenya. The dataset comprises cross-sectional data collected from 532 households and is highly multidimensional, incorporating demographic, socioeconomic, agricultural, institutional, social capital, and Women’s Empowerment in Agriculture Index (WEAI) indicators. It enables comparative analysis between BCAI participants, CCAI participants, and non-members to assess how different collective action structures influence women’s empowerment outcomes across the WEAI domains. The dataset is accompanied by a comprehensive do-file containing detailed Stata codes for variable construction, WEAI metric estimation, decomposition analysis, and econometric modelling. Specifically, the do-file includes procedures for calculating women’s empowerment indicators across the five WEAI domains and their sub-domains, including censored headcounts, percentage contributions, absolute contributions, inadequacy scores, disempowerment indices (M0), and the Five Domains of Empowerment (5DE) index. In addition, the do-file contains multinomial endogenous treatment effects regression models, including pre-estimation and post-estimation procedures, used to estimate the effects of BCAIs and CCAIs on women’s empowerment outcomes while correcting for self-selection into collective action groups.

Unprocessed and uncompressed imaging data of "IS110 transposon utilizes two mechanistically distinct RNA-guided transposition pathways."

This dataset contains raw data and R scripts for the study “Juvenile hormone pleiotropy links reproduction, age polyethism, and cuticular hydrocarbons in a highly eusocial wasp”. The data were used to analyse how juvenile hormone manipulation affects ovarian development, age-related task allocation, and cuticular hydrocarbon profiles in Vespula vulgaris workers. 1.2_Script_HMFerreira_VV_2026.R: R script used to analyse ovarian development and age-related division of labour in Vespula vulgaris workers under juvenile hormone manipulation. The script uses individual-level behavioural and physiological data, including treatment group, behavioural task, nest identity, queen presence, worker age, largest terminal oocyte size, and head size. It performs model selection and analyses using Gamma generalized linear mixed models for ovarian development and multinomial logistic regression for task allocation. 2.2_Script_HMF_VV_2026.R: R script used to analyse cuticular hydrocarbon profiles of Vespula vulgaris workers under juvenile hormone manipulation. The script uses raw GC-MS CHC peak-area data and associated metadata, including worker identity, nest identity, treatment, task, age, and ovarian development. It performs centred log-ratio transformation, PCA, PERMANOVA, dispersion analyses, pairwise post-hoc tests, and compound-level mixed models.

Dataset used in the article "On-demand transportation with autonomous buses on a dedicated lane: A disjunctive-graph approach" How to read datas:

The data obtained within the research which explores using large-scale additive manufacturing technology for fabrication of range of products from biodegradable wood-based polymer composite on lignin and softwood fibre. The study was caried out by the method of determining the main physico-mechanical characteristics on the specially made specimens from mentioned composite: tensile strength, flexural strength, hardness, density, water absorption, deformation, thermophysical properties and microstructure using optical and scanning electron microscopes. Influence of printing strategy on the strength of products were determined using variation of samples with printing layers orientation at 0°, 30°, 45°, 60° and 90° to the sample length (direction of test load application).