Mendeley Data Showcase

This dataset accompanies a study submitted to "Transportation Research Part E: Logistics and Transportation Review", focusing on a modular, demand-responsive transport system. The system uses passive, modular containers, or “pods,” that are transported across multiple vehicle types like trucks, trains, and boats to fulfill door-to-door customer requests. The study's main objective is to improve customer satisfaction and reduce operator costs, thus providing a more flexible alternative to traditional public transportation systems. The unique challenge lies in synchronizing the movements of both the pods and the vehicles they rely on, which creates interdependencies between routes. To address this, a mixed-integer linear program (MILP) and an adaptive large neighborhood search (ALNS) heuristic were developed, alongside a clustering approach to accelerate solution times for real-world applications. This dataset validates the performance of these optimization methods, providing a practical framework for testing advanced multimodal routing solutions. Since no standard benchmark data existed for this novel system, the dataset consists of five custom instance sets - A to E - with increasing levels of complexity and sizes, containing 30 instances each. The instances include randomly generated hubs in a two-dimensional space, with minimum pairwise distances maintained for spatial realism. The transportation network is constructed by assigning edges randomly within each modality (e.g., road, rail) while ensuring full connectivity. Additionally, each base and pod is assigned a capacity, and time windows for customer requests vary, with each subsequent set having a longer time window range. Travel times are computed as the Euclidean distance between hubs divided by a constant speed factor, with adjustments for loading and boarding times to reflect real-world operational delays.

Total mercury (tHg), methylmercury (MeHg as Hg), and total organic carbon (TOC) concentrations, and ratios of Hg-to-TOC (in Milli-%, m%), and MeHg-to-tHg (in %) for suspended particulate matter samples collected during the 2022-2023 sampling campaigns at Wittenberg (Elbe River), Dessau (Mulde River), Wettin (Saale River), and Tangermünde (Elbe River), Germany.

We characterized the social-ecological interactions between colonists and biodiversity in four social-ecological systems located in two southern Amazonian provinces of Ecuador. This characterization allowed us to identify the ecosystem services and disservices obtained by colonists and to assess the resilience of the interactions that provide them.

Fragrant, yellowish-white flowers of Moringa oleifera are the blooming parts of that tree belonging to Moringaceae family. Appearance: They grow in large, drooping panicles and are about 1–1.5 cm long and 2 cm broad. Each flower has five unequal, thinly veined petals. Nutritional Value: The flowers are rich in potassium, calcium, and amino acids, making them a valuable dietary supplement, especially for nursing mothers. Edibility: They are considered a delicacy in many cultures, particularly in South Asia, where they are used in curries, fritters (pakoras), and teas. Shelf life: Fresh moringa flowers are highly perishable. When stored in an airtight container in the refrigerator, they typically keep for a couple of days to approximately 7 days, depending on their initial freshness and moisture content.Fresh white-greenish flowers turn pale, yellow, or light brown as they age. Petals lose turgidity, wither, and eventually fall off. Sample Collection: Fresh and mature flowers of moringa tree are collected during the peak flowering season, generally in the of march from local trees of Malda,West Bengal, India ( 24°59'N to 88°08'E ) and the collection location was mapped using GPS coordinates . Immediately after collection of samples, they were checked for presence of any dust particles and their removal. Bad ones are removed and good flowers separated from the bunch , isolated, placed on white and black A4 sheets . Digital images of the samples were captured using a smartphone (Xiaomi Redmi 12 C) operating on Android version 12 . This device was equipped with MediaTek Helio G85 (Up to 2.0GHz), 6GB RAM and 128GB internal storage. Image acquisition was carried out daily for 5 consecutive days after collection to monitor the visual quality changes and shelf life deterioration. Approximately 250 images were captured per day over both white and black background, out of which 200 high quality images of each background, per day were selected based on clarity and focus . The image dataset was used to study progressive changes in color, texture, surface integrity and microbial spoilage during storage. In this dataset , 500 good image within "good" folder and 500 bad images within "bad" folders are included within the folder " white background. Same folders with similar numbers of images were included within another file named " black background. Therefore, total 2000 images of moringa flowers were uploaded in this dataset .

Data ini berisi data transmisi dan hasil pemantauan aktivitas dari sistem Smart Collar berbasis IoT yang dirancang untuk memantau aktivitas anjing. Sistem ini menggunakan ESP32 dan sensor akselerometer untuk mengklasifikasikan pergerakan anjing secara real-time

This data is from a survey conducted with fans of 2 English non-league football clubs, assessing their contributions to the crowdfunding scheme known as Boost the Budget. The research was designed to identify what drives fans to contribute to the Boost the Budget scheme. The survey captured behavioral and attitudinal loyalty, Boost the Budget participation, club trust, donation perceptions and

Experimental data supporting the findings of the article “Phytochemical profile and anticryptococcal activity of a phenolic-rich fraction from Myracrodruon urundeuva M. Allemão barks”, submitted to the Journal of Applied Microbiology.

You can find the data used in the paper below.

Corrosion in offshore steel structures in deeply influenced by several environmental factors, seawater temperature and chemical compositions in particular. This research paper is to determine the influence of seawater temperature on the corrosion mechanism in the ship structural steels by performing series of corrosion experiments at two different seawater temperatures. The corrosion conditions in the laboratory experiments were maintained o simulate the extreme saline conditions in the Arabian Sea for maximum durations up to 321-365 days using artificial seawater. Corrosion deposits were characterised with the help of various analytical techniques whereas corrosion losses were measured using two methods (i) mass loss method (ii) dimensional metrology method involving various statistical parameters and measurement tools. Furthermore, Melchers corrosion model basically derived for corrosion in field seawater conditions was pitched with the corrosion results performed in this research using artificial seawaters; without biological factors. Interestingly, the corrosion trends observed during this study were found to be similar to those reported in Melchers’ model for steels under natural seawater exposure conditions. Furthermore, characterisation of rust deposits revealed traces of sulphide containing compounds and anaerobic corrosion were observed only on the steel coupons exposed to artificial seawater at higher exposure temperature i.e., 40 OC. Despite similar corrosion conditions other than the seawater surface temperature, significantly varying corrosion rates/losses and patterns (uniform/ pit depths) were observed in the two different corrosion conditions, where corrosion loss was found to be proportional to the seawater temperature, similar to trend previously reported in literature during exposure of steels in the natural seawater conditions.

Base de datos anonimizada con variables del estudio. Certificado de bioetica