Mendeley Data Showcase

Replication Package for Supply Chain Finance Participation and Outward FDI: The roles of Productivity, Financial Frictions, and Information Asymmetry

This is supplementary material for the article: Effective Treatment of Genital Lichen Sclerosus with Tofacitinib: A Retrospective Case Series of 13 Patients.

Replication materials for this study

This dataset is associated with the dissertation by Monique Oliveira, titled “Experiences, Perceptions, and Beliefs of Physiotherapists on Pain and Physiotherapeutic Management in Patients with Fibromyalgia: A Qualitative Study Using Content Analysis of Interviews.” As part of this project, it includes the study “Physiotherapists' Perspectives on Exercise Prescription in Fibromyalgia: A Qualitative Study,” which focuses on exercise prescription by physiotherapists for patients with fibromyalgia. The dataset contains interview transcripts, field notes, control spreadsheets, audio recordings, and other supporting materials used in the qualitative research. Data were collected to explore physiotherapists’ perspectives and practices in managing exercises for patients with fibromyalgia, enabling detailed analyses of strategies, challenges, and clinical experiences. The files are organized to facilitate replication and further research.

A survey dataset of 418 Thai public commuters regarding their intention to adopt Mobility as a Service (MaaS). Collected via random sampling (Dec 2022 – Feb 2023), the data measures 12 key constructs of technology acceptance, including Performance Expectancy, Risk, and Price Sensitivity, as well as demographic and commuting patterns. It includes full validation metrics (HTMT, SEM, CFA) and is suitable for comparative studies on digital mobility services in developing countries.

Experimental datasets for EC measurements of Fe-pyroxene glasses.

This dataset contains individual-level immune-redox measurements and machine learning classification outputs used to distinguish heroin-only users from heroin-methamphetamine co-users in a Sri Lankan pilot cohort. Variables include normalized values of IL-6 and IL-4, the Th1:Th2 cytokine ratio (IL-6:IL-4), antioxidant capacity (ABTS), nitric oxide metabolites (NOx), and the oxidative stress index (OSI). The dataset also includes clinically defined group labels, artificial neural network (ANN) model-assigned group classifications, and predicted class probabilities for heroin and heroin–methamphetamine categories generated under leave-one-out cross-validation. These data enable evaluation of multivariate group separability and concordance between clinical labels and model-based classifications.

Phased dependent BGGI flood resilience data include flood dynamics indicators simulated by MIKE FLOOD and BGGI spatial attribute indicators calculated by GIS.