Mendeley Data Showcase

This document is supplementary data to a platform presentation at the March 26 USCLC Workshop (Frontiers in Cutaneous Lymphoma)

This repository contains the dataset and R code used in the study “Risk-Based Supervision of Work Zone Traffic Management in an Urban Utility Corridor.” The data were collected during an urban infrastructure project in Medellín, Colombia (November 2023–February 2025) and include daily supervision records, non-conformity tickets, and signal-theft logs. The dataset supports the analysis of PMT (temporary traffic management plan) compliance, supervisory performance, and operational risk dynamics in work zones. The accompanying R script reproduces all statistical analyses, tables, and figures presented in the article, including descriptive statistics, logistic regression, segmented longitudinal analysis, count models, response-time analysis, and a composite risk index. This repository is intended to support transparency, reproducibility, and further research on work zone safety and supervision in urban infrastructure contexts.

Research Hypothesis This research is based on the hypothesis that the territorial organization of public secondary education in the Brazilian Amazon, particularly in the state of Pará, produces a hierarchical spatial structure of educational provision. This hierarchy is expressed through the uneven distribution of schools, resources, and modalities across the territory, requiring different levels of spatial effort (distance, travel time, and mobility constraints) from students and their families. Thus, territory operates as an active mechanism in the production of educational inequalities. Description of the Data The dataset consists exclusively of restricted-access administrative data obtained through SEDAP-MEC. It includes detailed and georeferenced information on the students. Due to access restrictions, the original microdata cannot be shared. The dataset therefore provides processed, aggregated outputs derived from these restricted sources. Data Processing and Methodological Procedures The data were processed and interpreted using statistical software and Geographic Information Systems (GIS). Procedures included data cleaning, integration, and the construction of indicators related to territorial distribution, accessibility, and differentiation of educational modalities. Spatial analysis techniques were applied to enable the spatialization of educational data, allowing for the identification of patterns of concentration, dispersion, and differentiation. These procedures made it possible to analyze the territorial structure of educational provision and its internal hierarchy. What the Data Shows and Notable Findings The data reveal a structured and uneven territorial pattern of provision. This configuration produces a hierarchical spatial organization, in which access to secondary education varies according to location. The findings indicate that this hierarchy is not incidental, but reflects systematic patterns of planning and allocation. Different modalities of provision are distributed unevenly across space, contributing to differentiated educational conditions and experiences. Interpretation and Use of the Data The dataset should be understood as an analytical representation of restricted administrative data, designed to reveal the territorial logic of educational provision. The analysis demonstrates how it is possible to examine the territorial structure of educational provision and to test the hierarchy of this structure based on indicators such as student dropout and patterns of student displacement. In this sense, the data enable the investigation of how spatial organization shapes educational trajectories, linking territorial inequalities to measurable outcomes. As the dataset consists of derived outputs, users should interpret it as a set of analytical indicators rather than raw data. Replication requires authorized access to SEDAP-MEC data and similar methodological procedures.

The overlooked pathway of carbon storage: how autotrophic functional genes dominate soil organic carbon formation and stability in coastal saltmarsh

This data contain the code and material for the study "Unlocking Growth: How Capital Liberalization and Technology Finance Drive High-Quality Economic Development"

In my research I discover the impact of changes in the Bank of Russia’s discount rate on stock returns for Russian public companies. The presented dataset covers the period from 2014 to 2025, contains stock quotes from 8 MOEX indices, actual and expected Bank of Russia’s discount rates on the day of the meeting of the Board of Directors of the Bank of Russia on the key rate.

Arquivo contendo a listagem de jogos encontradas na MSL e link compartilhado na dissertação do mestrado (UFSM) intitulada: MISTÉRIO EM JOGO: DESENVOLVIMENTO E AVALIAÇÃO DE UM JOGO EDUCACIONAL HÍBRIDO INVESTIGATIVO PARA FOMENTAR O PENSAMENTO COMPUTACIONAL NO ENSINO MÉDIO

QUESTIONNAIRE on Vulnerability and Capital in Times of Crisis: Modelling Personal Financial Response in an Emerging Economy

Project in C++ with a template and different examples to codify in an ESP32 and STM32 a Grafcet that follows the specifications of IEC 60848. It is ready to be included in a project created in Visual Studio Code + PlatformIO, or STM32CubeIDE

Este conjunto de datos contiene estadísticas históricas de suicidio en España, comparando datos de los períodos anteriores y posteriores a la pandemia de COVID-19. Los datos incluyen tasas anuales de suicidio, desgloses demográficos y distribuciones regionales para facilitar la investigación sobre el impacto de la pandemia en los resultados de salud mental de la población española. Este recurso está destinado a investigadores, profesionales de la salud pública y responsables políticos que estudian la prevención del suicidio y los efectos de las crisis sanitarias en la salud mental de la población.