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Those data are from USC test. the test results are presented with respect to curing time (the file called UCS test results). Several graphs are plotted to find the relation between them. Also the by which we decide the elastic modules are also available here, the file name after E50. The soil we used during the tests, soils index properties are available at gradation curve file. in addition, we go for machine learning approach so the input those what we used for machine learning are also available in file called Regression.

This dataset contains 1,698 records, consisting of social media advertising captions in Arabic and descriptions of products sold online, all of which is evaluated in detail by experts. It is specifically designed to help in NLP (natural language processing) research, especially in Arabic text generation, copywriting evaluation (content writing), and sentiment analysis in marketing. We collected 1,698 captures of real and active ads on Facebook (collected manually by copying and pasting). Its goal is to evaluate the quality of written advertisements, and provide improved versions of them that will attract the customer and generate serious interaction. How was the evaluation done? (Our standards) Each caption was comprehensively analyzed, and the evaluation was divided into a point system (out of 100) distributed as follows: - Planning (P): 15 points - Interaction (E): 20 points - Quality (Q): 20 points - Reach and CTA (R): 20 points - Influence (I): 25 points Output Structure: Each row in the data will show you the following: - Score: X/100 (based on the distribution above). - Why?: Two sentences explaining the reason for the evaluation and the problems in the original caption. - Two quick edits: practical tips to get the ad right. - Improved version: After the caption has been refreshed and is ready, it can be downloaded and sold. How did we work? (Methodology & Tools): In order to get the work done with this accuracy, we relied on more than one evaluation tool, and our maestro was Generative AI Models. But because the AI ​​sometimes hallucinates, all evaluations and improved versions were done under complete human supervision and careful review by us, in order to ensure that the words are 100% logical and that there are no “hallucinations” appearing in the results. Potential Use Cases: - Fine-tuning Large Language Models (LLMs) for Arabic marketing text generation. - Training models for automated copywriting assessment and scoring.

This database contains some images and reports.

This dataset is a processed and integrated retail sales dataset constructed from multiple public and private data sources across different regions. It includes data from the United Kingdom, Malaysia, and selected European countries (France, Spain, Portugal, Germany), combining both real-world and synthetic retail datasets. The dataset contains approximately 70,000 records and provides transaction-level and aggregated sales information, including date, product, category, price, quantity, and revenue. Data from heterogeneous sources were cleaned, standardized, and merged into a unified schema to ensure structural consistency across different datasets. Additional temporal and seasonal features were engineered to support time-series analysis, including weekday and weekend indicators, month identifiers, day-of-week values, country-specific holiday flags, and seasonal labels. These features capture both calendar-based effects such as holidays & seasonal cycles and region-specific consumption patterns. The dataset is designed to represent diverse retail environments and heterogeneous data conditions, including variations in product categories, regional behavior, and data granularity. It can be reused for tasks such as time-series modeling, feature engineering, benchmarking, and cross-regional analysis under varying seasonal conditions.

This dataset contains seven supplemental tables supporting a systematic literature review on mission drift in social enterprises, published in the Journal of Social Entrepreneurship (Taylor & Francis). The review synthesises 42 peer-reviewed articles retrieved from Scopus and Web of Science (2015–2025), following PRISMA 2020 guidelines and assessed using the Mixed Methods Appraisal Tool (MMAT) 2018. The central research hypothesis is that mission drift is not a singular failure event but a structured, multi-stage emergent process that can be mapped, anticipated, and interrupted through stage-specific preventive interventions. Table 3 presents the MMAT 2018 methodological quality assessment of all 42 included articles, covering study design classification and quality scores. It enables readers to verify the rigour and transparency of the inclusion process. Table 4 maps 34 causal factors of mission drift across ten thematic categories and three levels of analysis (macro, meso, micro), derived through NVivo 14 thematic coding. The relatively even distribution across categories — no single category exceeding 11.8% — is itself a substantive finding, indicating that mission drift has an architecture rather than a dominant cause. Table 5 catalogues 26 early warning indicators of mission drift across seven categories (Finance and Funding; Governance and Leadership; Human Resources; Operational and Practice; Measurement and Reporting; Tensions and Conflict; External Environment), enabling practitioners to deploy these as a diagnostic instrument before deviation becomes irreversible. Tables 6 and 7 jointly document the three-layer process of mission drift as a cascade of Triggering Factor Nodes (L1), Organisational Action Nodes (L2), and Outcome Nodes (L3), together with the directional relationships between layers (L1→L2 and L2→L3). These tables support the Sankey diagram (Figure 5 in the article) and allow readers to trace specific causal pathways from structural antecedents through organisational actions to outcomes. Tables 8 and 9 underpin the original six-stage emergence model of mission drift (Figure 6 in the article): Table 8 details the components of each stage — from hybrid organisational foundation through external and internal pressures, social-commercial tensions, gradual practice shifts, manifestation, and consequences — while Table 9 maps the inter-component relationships across stages, documenting how each stage reinforces the next in a decremental sequence. Data were gathered through systematic database searches, full-text screening by four independent researchers, thematic analysis using NVivo 14, and researcher triangulation to minimise interpretive bias. All tables are provided in editable format (.xlsx) and should be interpreted in conjunction with the article's Methods and Results sections. The dataset is licensed under CC BY-NC 4.0; users may share and adapt the material for non-commercial purposes with appropriate attribution.

The physicochemical properties of Palm Oil Fuel Ash (POFA) were characterized to assess its suitability as a catalyst precursor. The dataset includes structural, compositional, and textural information obtained from X-ray diffraction (XRD), X-ray fluorescence (XRF), and nitrogen adsorption–desorption analyses. XRD was used to identify crystalline phases and evaluate structural changes after pre-treatment and sulfonation. XRF analysis determined the elemental composition, reported as weight percentages (wt%) of the corresponding oxides. The specific surface area was calculated using the Brunauer–Emmett–Teller (BET) method, while pore size distribution and pore volume were obtained using the Barrett–Joyner–Halenda (BJH) method. These parameters are expressed as surface area (m²/g), pore volume (cm³/g), and pore diameter (nm). The dataset enables evaluation of compositional and structural modifications of POFA and supports interpretation of its performance as a heterogeneous solid acid catalyst.

I hypothesised that English loanwords in Quebec French could be noticeable not because of their number, but because of their high frequency rate. In other words, it is possible that they are not so numerous, but some of them are often heard and read in repeated contexts, e.g., in utterances or discussions on particular topics. This assumption inevitably poses the question about the causes for an active usage of some English loanwords in francophone Quebec. To try to identify these causes, I for the first time approached the issue of the supposedly high frequency rate of English loanwords (by way of example of Quebec French print media) from the perspective of (1) the circumstances of loanword usage (context) and (2) the linguistic properties of specific loanword types. To verify my hypothesis, I meticulously observed the use of the idiomatic loanword "mur-à-mur" ("wall-to-wall") and morphological loanword "gagnant-gagnant" ("win-win") in 1,556 issues of the Quebec francophone newspaper "Le Devoir" ("The Duty") published between 2017 and 2020. The methods of lexicometric, contextual and discourse analysis revealed the types of contexts and topics welcoming the two loanwords the most as well as recurrent usage patterns characteristic of the studied loanword types. There were indeed two recurrent context types that most frequently encompassed two English loanwords in the journalistic discourse of "Le Devoir": “Opinions and Letters” and “Miscellaneous Topics.” In fact, the overall occurrences of the loanwords were distributed differently among all 13 of the considered context types. The applied multidimensional approach helped me to discover the recurrent usage patterns that are characteristic of the studied loanword types. For example, the idiomatic loanword "appliquer mur à mur" (to apply wall-to-wall) in the frequently repeated contexts of discussions on educational policies and the morphological item "gagnant-gagnant" that appeared to have the potential to be used in patterns ("accord gagnant-gagnant" (win-win agreement)). The data deposited here are Table 1 and Table 2. Table 1 presents the idiomatic loanword mur à mur (wall-to-wall) and morphological loanword gagnant-gagnant (win-win) with their tokens’ distribution by context types in the issues of the newspaper "Le Devoir" ("The Duty") published from 2017 to 2020. Table 2 features discourse, contextual, and grammatical features of the studied loanwords in the observed contexts. Since context type in print media was found to be an important factor in the integration of English loanwords, translation from English into Quebec French of the contexts belonging to the particular type may legitimize (or not) the use of the borrowed items within those contexts in the target text. In particular, materials on professional translation pedagogy related to the language pair in question would benefit from covering this crucial role of the context and could be compiled based on the obtained data.

The mosaicked M3 data of Theophilus crater (3 strips) and extracted endmembers by Iterative Error analysis (1 endmember is dummy, refl=1).

This dataset contains a processed and integrated subset of multiple data sources. Due to licensing and data access restrictions, the original raw datasets (police-reported accidents, full road network data, and full traffic census data) are not publicly redistributed. The provided dataset includes only derived and combined data necessary to reproduce the analyses presented in this study. The dataset is structured as a series of linear segments with a fixed length of approximately 10 meters along the D1 motorway. Each segment represents a spatial analysis unit to which road accidents, traffic intensity (Average Annual Daily Traffic, AADT), and geometric road attributes are assigned. This segmentation enables high-resolution spatial analysis of accident occurrence and its relationship with traffic flow and road characteristics. The dataset is divided into four files representing directional segments of the motorway: (1) Prague–Říkovice, (2) Říkovice–Prague, (3) Czech/Polish border–Přerov, and (4) Přerov–Czech/Polish border. Each file contains integrated information on road accidents, traffic intensity (AADT), and spatial road attributes for the corresponding motorway segment and direction. The dataset is intended for research in transport safety, traffic engineering, and spatial data analysis, and supports reproducible analysis of relationships between road geometry, traffic intensity, and accident occurrence.

This document concerns the identification and characterization of elicitor proteins, as well as data on enzyme activity indicators measured after inoculating grape fruits.