Mendeley Data Showcase

De Trinitate is a prose work in 15 books by Augustine of Hippo written in the 4th century AD. The book discusses the Trinity in context of the Logos. The source of the Latin text is The Latin Library (http://www.thelatinlibrary.com/august.html).

RDF version (with linking to the LiLa Knowledge Base) of The Lexicala Latin-French Dictionary (Lexicala by K DICTIONARIES: https://lexicala.com), a bilingual dictionary aimed at French-speaking readers learning Latin at a beginner or intermediate level. The dictionary contains 14,000 entries, 21,000 examples, and 38,000 translations. The words selected are those that form the basis of the Latin language for the period from the 1st century BC to the 1st century AD. The dictionary covers the fundamental lexicon of the works most frequently proposed in Latin classes, favoring authors from the end of the Republic and the 1st century of the Empire (Cicero, Caesar, Sallust, Livius, Seneca for prose writers; Virgil, Horace, Ovid for poets). Likewise, the proper names included in the dictionary have been selected because of their importance in Roman history or Greco-Latin civilization.

Transcriptome

This scholarly endeavour seeks a broader understanding of how emotional display rules are formed and enacted in loosely organised sectors of tourism that lack organisational culture and formal training. To achieve this, the researchers employed a mixed-method approach combining qualitative methods and participant observations. Data was gathered through 18 semi-structured interviews and 5 field observations of nature-based guides across various parts of Australia. A total of 130 code pairs, representing linked emotional display rules, emerged from the transcripts and were analysed using domain and semantic analysis. In the less clear areas of data reconstruction, field observation data and its theoretical implications assisted the researcher in developing constructs between the emerging themes. The resulting theory suggests that guides develop their own emotional display rules to simultaneously meet different goals within the service interactions, such as conservation education, risk management, and creating fun. Driven by instincts to build a sense of community, balance diverse visitor motives, and employ multiple strategies for deep acting, guides may harmoniously blend emotional display rules that are highly unique and tailored to each context. Therefore, guides' individual sense of shared responsibility towards the environment, their business motives, and visitor interests become a source of their display norms. Moreover, achieving these goals allows them to attain leadership and mediatory roles of their job description, where emotional labour takes place. The emotion-laden content and nonverbal cues of interviews and field observations are the disguised emotional display rules used by guides. These exemplar quotes serve as code pairs in the attached analysis of interactions between emotional display rules workbook, where each code's direction of implementation is identified, and the reasons for their occurrences are attached as supportive memos. The most recurrent logic patterns are used by researchers from an insider's perspective as premises to build a conceptual model encompassing the formation of these display norms among guides and their utilisation in the emotional labour process during visitor interactions. Simultaneously, investigators refer to the Field Observation Logs that have recorded highly relevant excerpts across 5 different tours. Delving into the similar situations sensed during those five field observations enables them to clarify obscure parts of the interviews' data reconstruction from an outsider's perspective. This reflexivity of roles between etic and emic perspectives facilitates data crystallisation and consolidates the findings. These data sets were obtained over scattered timeframes to reduce biases towards recent incidents of environmental and health-related crises and their impacts on the economy and society.

Research related to sentiment analysis on the performance of the Indonesian General Election Commission (KPU) uses this dataset. The performance dataset of the Indonesian General Election Commission was collected from the social media platform Twitter/X and the news portal detik.com. The Twitter/X dataset was collected using the Beautiful Soup library in Python. The news portal detik.com dataset was collected using the Octoparse application. The dataset was collected during the period from January 1 to May 30, 2024, consisting of 1,519 raw data entries.

After excluding individuals who failed to complete all assessments, the final valid sample at time-point 1 (T1) comprised 863 students (436 boys, 427 girls) aged 9–13 years (M = 10.43, SD = 1.19). The grade-specific breakdown at T1 was as follows: grade 3: 282 students (148 boys, 134 girls), M = 9.21 years (SD = 0.52); grade 4: 293 students (145 boys, 148 girls), M = 10.33 years (SD = 0.63); grade 5: 288 students (143 boys, 145 girls), M = 11.74 years (SD = 0.64). Six months later at time-point 2 (T2), 788 participants were successfully retested (393 boys, 395 girls), M = 10.93 years (SD = 1.18).

Replication code of the project "China’s Technological Rise and Its Global Welfare Effects"

Replication package contains both data and code.

Matlab code developed in our study, entitled "Kinetic isotope fractionation during crystal growth", submitted to Geochimica et Cosmochimica Acta

The dataset generated from this study consists of characteristics of four physicochemical treated lesser-known shrub species (Lagerstroemia speciosa, Gliricidia falcatum, Melastoma avenis, and Melastoma sundaicus) subjected to different extraction treatments. Each species was treated using four types of solvents: distilled water, ethanol, hexane, and a combination of ethanol and hexane, under two temperature conditions: room temperature (25°C) and elevated temperature (50°C). The primary parameters measured include moisture content, weight loss, yield, volatile matter, and gross calorific value, which are critical indicators of biomass quality for biopellet production.