Mendeley Data Showcase

The data include photographs and screenshots of 3D models of luminescence-labeled objects examined using the constructed Luminescence-Labeled Surfaces Mapping System

Polyamines regulate multiple cellular pathways, yet their cellular distribution remains poorly defined. To overcome limitations of available approaches, we developed iPUT, a clickable putrescine analogue that preserves its native properties and enables bioorthogonal fluorophore conjugation for high-resolution imaging. In MCF-7 cells, unlike fluorophore-conjugated probe BODIPY-PUT, iPUT localized to nuclei, demonstrating the advantage of minimal tagging. In hippocampal co-cultures and acute slices, neurons showed higher iPUT accumulation than astrocytes, challenging the view that glia is the main polyamine reservoir. iPUT accumulation was ATPase transporter-dependent, consistent with enrichment of hippocampal neurons in ATP13A2 carrier. Subcellular distribution differed across models: nuclear enrichment in dividing MCF-7 cells contrasted with extranuclear localization in mature neurons in hippocampal slices. Mimetic hypoxia and excitotoxicity reduced iPUT accumulation in CA1 but not CA2/3 neurons and promoted nuclear redistribution in CA1, suggesting involvement in stress-activated pathways and contribution to higher vulnerability of this region. iPUT is thus a versatile tool for tracking putrescine dynamics, offering new insights into polyamine biology in health and disease.

Dataset for the article titled "Ferroptosis Inhibition Enhances Liver and Lung Graft Function "

This dataset contains the research data associated with the preprint / working paper titled "Homo economicus or Homo rivalis: The Rival as a Reference Point in Economic Decision Making". The study investigates how the presence of a rival acts as a reference point and influences economic decision-making processes, challenging the classic neoclassical model of Homo economicus. Data overview: The dataset is provided in SPSS format (.sav) and includes responses from a nationwide Polish sample of 427 adults. Data was collected via the ePanel platform. The data covers the following main areas: 1. Demographics: Gender, age, education level, and place of residence. 2. Experimental variables (The Multi-Prospect Game): Decisions made by participants in a proprietary decision-making game. Participants assigned financial changes (from -500 PLN to +500 PLN) affecting both their own and their rival's outcomes, with a leverage mechanism where the rival's payoff changes by twice the amount. 3. Experimental conditions: The dataset includes participants' random assignment to conditions regarding the rival's initial status (winning vs. losing) and the rival's gender (male vs. female). 4. Derived indices: Calculated variables used in the manuscript, such as change in own winnings, difference from the rival's score, and strategy categorization (financial maximization, egalitarian, status maximization, status quo). Methodological notes: For a full description of the methodology, experimental design, and statistical analyses, please refer to the associated paper available on SSRN. Software requirements: The .sav file requires IBM SPSS Statistics (or compatible open-source software like R, PSPP, JASP, or jamovi) to be opened and analyzed.

Set of datasets derived from the project PID2019-106701RR-I00 "Forest management as a tool to revitalize oak coppice forests: reactivation of carbon sinks and other ecosystem services (CO2PPICE)" CO2PPICE_Microclimate: Half-hourly microclimate dataset for coppice sites in Moncayo (Zaragoza, Spain). Comparison of different forest treatments in abandonned coppice forests of Quercus pyrenaica. Measurements: Air temperature, Relative Humidity, Radiation, Precipitation, Soil Water Potential, Soil Temperature, Wind speed, Wind direction, vapour pressure, vapour presssure deficit, Atmospheric pressure, Photosynthetic active radiation. See file for further details. Funding: Grant PID2019-106701RR-I00 funded by MCIU/AEI/ 10.13039/501100011033; Grant ANR-21-CE32-0012 (project MaCCMic) funded by the French national research agency (Agence Nationale de la Recherche); Grant EQC2019-006371-P funded by MCIU/AEI/ 10.13039/501100011033 and ERDF A way of making Europe.

Datasets Figure 1: 1a & 1b: PmyoSC continuous passage.xlsx 1c: Differentiation images folder Figure 2: 2a,b,c,d,e: MS1.xlsx 2f: FGFSpecies comparison Figure 3: 3a: MS2.xlsx 3b,c,d: MS6.xlsx Figure 4: 4a: MS3.xlsx 4b,c: MS7.csv 4d,e: MS8.xlsx Figure 5: 5a,b,c,d: Results EXP026 sm.xlsx 5e: Ms10 Figure 6: 6a,b: SSM3 SSm4 uclpmyosc.csv 6c:SSM3 SSM4 questpmyosc.csv 6d: SSM3 1% ssm3 .csv 6e: Plate 1, 1% 6f: EXP039 long term counts.xlsx Figure 7: 7a: cultispher livedead folder, cytodex livedead folder 7b: cytodex counts 7c: cultispher counts

The School Holiday Essay Corpus is a linguistic data collection developed to study the use of language in students' writing based on their personal experiences during school holidays. The theme of school holidays was chosen because it is a topic close to students' daily experiences and allows them to write narratively based on the actual activities they experience. In the context of language education, this topic is often used in writing exercises because it provides space for students to express experiences, emotions, and social interactions through language in a more spontaneous and authentic way. In this research, the School Holiday Essay Corpus was developed as part of a student language data collection project involving 670 student essay texts with a total of 177,027 word tokens (177K tokens). This data was collected from students who came from six geographical zones in Malaysia, namely the North, South, East, West, Sabah and Sarawak Zones. The division of these zones aims to ensure a more balanced geographical representation and to allow researchers to see variations in language use among students from different socioeconomic backgrounds and educational environments. In addition, the data collection of this corpus also involves students from three levels of education, namely Primary School (around 12 years old), Vocational College (around 16 years old) and Pre-University (around 18 years old). This approach allows for the analysis of language development to be carried out across age levels and educational levels. Through such a data structure, this corpus not only provides an overview of students' language use at a certain level, but also opens up space for broader comparative linguistic studies. Within the framework of corpus linguistics, the construction of a corpus of student writing provides an opportunity to examine various aspects of language such as lexical diversity, word frequency, spelling errors, sentence formation, as well as the use of metaphors and emotional expressions in student writing. Texts themed around school holidays in particular often contain narratives of experiences involving family activities, travel, community activities and personal experiences. Therefore, these texts provide a rich linguistic context for the analysis of more natural language forms compared to formal texts. The construction of the School Holiday Essay Corpus also contributes to the development of authentic Malay language data sources in the fields of corpus linguistics and language education. Compared to corpora consisting of formal texts such as newspapers or literary works, the student essay corpus shows more natural language use and reflects the reality of language literacy in an educational context. Therefore, this corpus has the potential to be an important source for studies related to language development, linguistic variation, language errors, and the development of Malay language teaching and learning materials.

Experimental Dataset for pressure drop in packed beds made of randomly packed spherical particles.

This review synthesises evidence on risky driving behaviours across low and middle income countries (LMICs), focusing on prevalence, demographic and geographical patterns, cultural determinants, recommended interventions, and research gaps. Guided by PRISMA 2020 standards, a systematic search of Scopus, TRID, and Google Scholar identified studies published between 2020 and 2025. Screening was conducted independently by two reviewers, and methodological quality was assessed using the JBI Critical Appraisal Checklist, the CASP Qualitative Checklist, and the Mixed Methods Appraisal Tool. Due to substantial heterogeneity in study designs and outcome measures, findings were narratively synthesised. A total of 161 studies involving 2,367,804 participants across 47 LMICs met the inclusion criteria. Traffic violations (20.8%), distracted driving (19.3%), and aggressive driving (17.3%) were the most commonly examined behaviours. Male drivers represented 68.6% of participants, with most studies focusing on individuals aged 26–40. Cultural influences were prominent: social norms and risk perception were key determinants of risky driving in 43.5% and 30.4% of studies, respectively. Although cultural and behavioural interventions were the most frequently recommended strategies (25.5%), none of the reviewed studies provided empirical evidence on intervention effectiveness. Research was geographically uneven, dominated by studies from China, India, and Iran, with limited evidence from Central America, the Caribbean, and many Southern African Development Community countries. Overall, risky driving in LMICs is shaped by intersecting cultural and structural factors. The lack of intervention effectiveness research represents the most critical gap, highlighting the need for experimental evaluations and more geographically diverse evidence.