Total Deposits<\/strong>: 551 datasets have been archived, representing a broad spectrum of research outputs.<\/p>\n Contributor Base<\/strong>: 141 individual depositors have engaged with the platform, signalling widespread institutional participation.<\/p>\n Usage Metrics<\/strong>: Over 150,000 views and 30,000 downloads demonstrate sustained interest and practical reuse of hosted datasets.<\/p>\n Citation Count<\/strong>: 16 citations suggest growing scholarly recognition, with potential for increased uptake through enhanced discoverability.<\/p>\n Figure 1: SUNScholarData statistics 2019-2025<\/p><\/div>\n Disciplinary Reach<\/strong><\/p>\n Disciplinary contributions span multiple faculties. This diversity reflects cross-disciplinary engagement, though further metadata refinement could improve attribution and reporting accuracy.<\/p>\n Figure 2: Datasets uploads per Faculty<\/p><\/div>\n Global Visibility<\/strong><\/p>\n SUNScholarData has achieved notable international reach, with the United States accounting for over 120 000 views. Other top-viewing countries include South Africa, Germany, the UK, France, and Ireland – underscoring the repository\u2019s relevance beyond national borders.<\/p>\n Figure 3: Global visibility of SUNScholarData<\/p><\/div>\n High-performing datasets:<\/strong><\/p>\n Below are some of the datasets that appear to have had the highest impact in terms of views and downloads. In the table below, related articles published from the data were linked.<\/p>\n Figure 4: High-performing datasets<\/p><\/div>\n <\/p>\n The datasets listed above reflect notable engagement, with several attracting considerable attention through both views and downloads. For instance, the Dwelling Informal Settlement Experiment – linked to research on fire spread in informal settlements – received over 2,100 views and nearly 2,800 downloads, highlighting its relevance to urban safety and planning. Datasets tied to real-world issues like urban safety, environmental modelling, and agriculture are drawing thousands of views and downloads, which suggests they\u2019re reaching the right audiences. This level of engagement suggests the repository is successfully enhancing both visibility and reuse of research outputs.<\/p>\n SUNScholarData provides Stellenbosch University with a certified, standards-aligned repository that supports responsible data stewardship and institutional credibility. By adhering to the FAIR principles, it ensures that research data is structured for long-term access, reuse, and interoperability, which are critical for reproducibility and strategic assessment. Its CoreTrustSeal certification affirms that governance, access policies, and infrastructure meet global benchmarks, positioning the university\u2019s data outputs within trusted research ecosystems. SUNScholarData is consequently a durable asset for transparent, auditable, and future-ready scholarship that remains an important part of Stellenbosch University\u2019s open research infrastructure. Its increasing use, varied content, and integration with institutional systems reflect steady progress in supporting data sharing and stewardship within the African research context.<\/p>\n![\"\"](\"http:\/\/blogs.sun.ac.za\/libraryresearchnews\/files\/2025\/09\/SUNScholar-Stats.jpg\")
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\n Dataset<\/strong><\/td>\n Publications linked to the data<\/strong><\/td>\n Views<\/strong><\/td>\n Downloads<\/strong><\/td>\n<\/tr>\n \n Dwelling Informal Settlement Experiment<\/a><\/strong><\/td>\n 20 Dwelling Large-Scale Experiment of Fire Spread in Informal Settlements<\/a><\/td>\n 2161<\/td>\n 2774<\/td>\n<\/tr>\n \n N mineralisation data used to predict the response to fertilisation in semi-mature pine stands<\/a><\/strong><\/td>\n Modelling soil nitrogen mineralisation in semi-mature pine stands of South Africa to identify nutritional limitations and to predict potential responses to fertilisation<\/a><\/td>\n 3366<\/td>\n 538<\/td>\n<\/tr>\n \n Flexural properties of Pinus patula planted at different initial spacing<\/a><\/strong><\/td>\n The flexural lumber properties of Pinus patula Schiede ex Schltdl. & Cham. improve with decreasing initial tree spacing<\/a><\/td>\n 2399<\/td>\n 988<\/td>\n<\/tr>\n \n Supplementary information (videos) illustrating the reaction of a ewe to the odour of her own lamb versus that of another lamb<\/a><\/strong><\/td>\n Olfactory cue mediated neonatal recognition in sheep, Ovis aries<\/a><\/td>\n 1701<\/td>\n 2580<\/td>\n<\/tr>\n \n Oceanic_Al_Menzel<\/a><\/strong><\/td>\n A First Global Oceanic Compilation of Observational Dissolved Aluminum Data With Regional Statistical Data Treatment<\/a><\/td>\n 2515<\/td>\n 501<\/td>\n<\/tr>\n \n Erica species anthocyanin biosynthesis gene expression data<\/a><\/strong><\/td>\n Floral Color, Anthocyanin Synthesis Gene Expression and Control in Cape Erica Species<\/a><\/td>\n 2717<\/td>\n 568<\/td>\n<\/tr>\n \n Petrochemical blending problem instances<\/a><\/strong><\/td>\n On the solution of petrochemical blending problems with classical metaheuristics<\/a><\/td>\n 2160<\/td>\n 1031<\/td>\n<\/tr>\n \n Synthetic domestic hot water profile generator<\/a><\/strong><\/td>\n A probabilistic hot water usage model and simulator for use in residential energy management<\/a><\/td>\n 1837<\/td>\n 1102<\/td>\n<\/tr>\n \n Celtis africana metabolite profiles: Supplementary Materials<\/a><\/strong><\/td>\n Antibacterial activity and gas chromatography mass spectrometry (GC\u2013MS)-based metabolite profiles of Celtis africana and its endophytic extracts<\/a><\/td>\n 1659<\/td>\n 843<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n