Mendeley Data Showcase

Morphometrical and statistic analyses

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The dataset contains alloy-level descriptors for 30,201 candidate single-phase compositions identified from a palette of 40 elements. For each alloy, the dataset reports metrics related to supply concentration (HHI), environmental, social and governance risk (ESG), combined supply risk, companionability, production and reserve constraints, limiting elements, and CO2 and energy footprints under primary, recycled and actual scenarios (recycling-adjusted). The variables were derived from published sources and public databases, then aggregated at alloy level using arithmetic, probabilistic and weakest-link formulations. The dataset is intended for sustainable-by-design alloy selection, benchmarking of materials-screening pipelines, sensitivity analyses using alternative weighting strategies, and identification of bottleneck elements that constrain industrial scalability. Users can reuse the data to build their own composite indicators, test different thresholds, or couple sustainability descriptors with functional-property data.

LA-ICP-MS datasets from two Islamic glass bangle collections (c.14th–16th century) held at the British Museum. Kawd am-Saila (Yemen) collection analysed at CNRS Orléans and Somaliland collection analysed at the UCL Institute of Archaeology.

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Corporate governance, macro economic indicators of South Africa, India, UK, and the USA

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Using qPCR and targeted LC–MS/MS, we profiled S1P metabolic enzymes, receptors, and metabolites in human gestational tissues across pregnancy. These findings reveal tissue-specific regulation of S1P metabolism and signaling in human gestational tissues, suggesting a therapeutic role of S1P in modulating myometrial contractility. The collection of this data was conducted with the approval of the Washington University in St. Louis Institutional Review Board (ID# 202205099).

This repository contains the processed simulation data, selected trajectories, analysis outputs, and figure-generation scripts associated with the manuscript: Glassy interphases reinforce elastomeric nanocomposites by enhancing percolation-driven volume expansion under strain In filled elastomers, nanoparticle additives can dramatically increase stiffness and toughness, yet the molecular origins of this reinforcement have remained debated for decades. A prominent idea is that strong polymer–particle attractions create “glassy bridges” that directly cement particles into a load-bearing network. The data and scripts in this repository accompany a molecular simulation study showing a different picture: glassy interphases do not primarily reinforce by directly supplying elongational cohesion. Instead, they amplify a more fundamental mechanism in which competition between particulate and elastomeric networks increases volume expansion under strain, thereby activating large bulk-modulus contributions to the response. The repository is organized around two main directories. The `data/` directory contains processed simulation outputs, selected input files, and helper scripts for reproducing simulations and post-processing analyses. The `figures/` directory contains figure-specific plotting scripts and source files for all main-text and supporting-information figures. Simulation datasets are organized by filler structure, filler loading, and filler–polymer attraction strength. For full repository documentation, directory structure, software prerequisites, and detailed workflow instructions, see the top-level `README.md`. Associated manuscript: https://arxiv.org/abs/2509.04755