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This work was supported by Bahir Dar Institute of Technology, Bahir Dar University. The authors also acknowledge Microbilogy department, Bahir Dar Institute of Technology for the experimental facilities and support.

Impact on the Sustainable Development Goals (SDGs)

Analysis of institutional authors

Tessema, Tegen DagnewCorresponding Author

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October 29, 2024
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Experimental dataset on leaf-based extracted antidandruff shampoo derived from Aloe Vera, Ocimum Sanctum, and Withania Somnifera: Advancing Ethiopian local herbs via formulation

Publicated to:Data In Brief. 57 110937- - 2024-12-01 57(), DOI: 10.1016/j.dib.2024.110937

Authors: Tessema, Tegen Dagnew; Wendante, Yohannes Shetawn; Teffera, Belay

Affiliations

Bahir Dar Univ, Bahir Dar Inst Technol, Fac Chem & Food Engn, Dept Chem Engn, POB 26, Bahir Dar, Ethiopia - Author
Univ Rovira i Virgili, Dept Mech Engn, Ave Paisos Catalans 26, Tarragona 43007, Spain - Author

Abstract

Dandruff is a common fungal infection caused by the fungus Malassezia furfur. It is a big issue of concern in the human skin health system, as it is characterized by chronic non-inflammatory scalp conditions. These conditions include excessive scaling, itching, and redness. The fungus Malassezia is responsible for causing dandruff. Hence, this research dataset contains data related to the extraction and formulation of shampoo that cures dandruff by using extracts from the herbal leaves of Aloe Vera, Ocimum Sanctum, and Withania Somnifera herbs as an advancement of Ethiopian local herbs via formulation. The presented data provides an information on the optimal formulation process of herbal-based antidandruff shampoo against ketoconazole (KTC) as a control of the experiment. Ethanol-extracted oil from Aloe Vera, Ocimum Sanctum, and Withania Somnifera leaves was used to create three different formulation codes of F1, F2, and F3. The formulated antidandruff shampoo was evaluated in terms of its solid content, foamability, viscosity, dirt dispersion, pH, wetting time, and organoleptic properties. Moreover, the dataset includes information on the antifungal activity of the antidandruff shampoo against Malassezia furfur, as determined by disc diffusion and colony count testing method. The active chemical components responsible for the antidandruff activity of the leaf-extracted oil were also measured using FTIR. (c) 2024 The Author(s). Published by Elsevier Inc. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/)

Keywords

AnovAnovaAntidandruffFormulationFtirHerbal extractsMalassezia furfurZero hunger

Quality index

Bibliometric impact. Analysis of the contribution and dissemination channel

The work has been published in the journal Data In Brief, and although the journal is classified in the quartile Q3 (Agencia WoS (JCR)), its regional focus and specialization in Multidisciplinary Sciences, give it significant recognition in a specific niche of scientific knowledge at an international level.

Impact and social visibility

From the perspective of influence or social adoption, and based on metrics associated with mentions and interactions provided by agencies specializing in calculating the so-called "Alternative or Social Metrics," we can highlight as of 2025-07-21:

  • The use of this contribution in bookmarks, code forks, additions to favorite lists for recurrent reading, as well as general views, indicates that someone is using the publication as a basis for their current work. This may be a notable indicator of future more formal and academic citations. This claim is supported by the result of the "Capture" indicator, which yields a total of: 17 (PlumX).

With a more dissemination-oriented intent and targeting more general audiences, we can observe other more global scores such as:

    It is essential to present evidence supporting full alignment with institutional principles and guidelines on Open Science and the Conservation and Dissemination of Intellectual Heritage. A clear example of this is:

    Continuing with the social impact of the work, it is important to emphasize that, due to its content, it can be assigned to the area of interest of ODS 2 - End hunger, achieve food security and improved nutrition and promote sustainable agriculture, with a probability of 0% according to the mBERT algorithm developed by Aurora University.

    Leadership analysis of institutional authors

    This work has been carried out with international collaboration, specifically with researchers from: Ethiopia.

    There is a significant leadership presence as some of the institution’s authors appear as the first or last signer, detailed as follows: First Author (Tessema, Tegen Dagnew) .

    the author responsible for correspondence tasks has been Tessema, Tegen Dagnew.