Tuesday, 16 January 2018
Graphical dataset on important medicinal plants used for curing dental issues in Manoor Valley, Mansehra, Pakistan
Data in Brief
Volume 9, December 2016, Pages 1028-1033
open access
Data in Brief
Data Article
Author links open overlay panelInayat UrRahmanFarhanaIjazAftabAfzalZafarIqbalNiazAliMuhammad AzharKhanMuhammadAfzalSaidMuhammadGhulamQadirMuhammadAsif
Department of Botany, Hazara University, Mansehra 21300, KP, Pakistan
Received 25 October 2016, Accepted 8 November 2016, Available online 15 November 2016.
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Inayat Ur Rahman, Farhana Ijaz, Zafar Iqbal, Aftab Afzal, Niaz Ali, Muhammad Afzal, Muhammad Azhar Khan, Said Muhammad, Ghulam Qadir, Muhammad Asif
A novel survey of the ethno medicinal knowledge of dental problems in Manoor Valley (Northern Himalaya), Pakistan
Journal of Ethnopharmacology, Volume 194, 24 December 2016, Pages 877-894
PDF (1MB)
Abstract
The graphical dataset in this paper is related to the research article entitled “A novel survey of the ethno medicinal knowledge of dental problems in Manoor Valley (Northern Himalaya), Pakistan” (I.U. Rahman, F. Ijaz, Z. Iqbal, A. Afzal, N. Ali, M. Afzal, M.A. Khan, S. Muhammad, G. Qadir, M. Asif, 2016) [1]. This article describes how the local community of Manoor Valley practices cultural / traditional knowledge for dental problems. For the recorded data of 25 medicinal plants, six quantitative ethnomedicinal statistical approaches / equations were used. Out of these indices, four were used to measure the most imported and cited medicinal plant species while two for the comparative analysis to evaluate the novelty of work.
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Keywords
Graphical datasetDental issuesQuantitative ethnobotanyManoor Valley Pakistan
Specifications Table
Subject area Ethnobotany
More specific subject area Medicinal plants used in curing dental problems
Type of data Figures/ graphs, text file
How data was acquired Survey, interviews, statistical approaches using the indices i.e. use value (UVi), relative frequency citations (RFCs), fidelity level index (FL%), consensus index (CI%), Jaccard similarity index (JI) and Sorensen׳s similarity index (QS).
Data format Raw, analyzed
Experimental factors Questionnaire, statistical indices
Experimental features The relationship between local community and medicinal plants
Data source location Manoor Valley, Mansehra, Pakistan
Data accessibility Data is available with this article
Value of the data
•
The relationship between local community and medicinal plants.
•
The data presents quantitative ethnobotanical statistical approaches.
•
For novelty, ethnomedicinal uses were comparatively analyzed with published literature through similarity indices.
1. Data
The dataset of this article provides information about the medicinal plants used against dental problems in Manoor Valley, Mansehra, Pakistan. Fig. 1 shows the number of informants interviewed, Fig. 3 indicates the growth form of medicinal plants, Fig. 4 reveals the most widely part used. Figs. 5–7 clearly shows the mostly important and widely used medicinal plant species for various dental issues/problems. Figs. 8–9 indicates the comparative analysis of reported medicinal plants for current uses with previous documentations.
Fig. 1
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Fig. 1. Number of informants interviewed during field work.
Fig. 2
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Fig. 2. Quantitative ethnomedicinal/statistical indices used to evaluate most cited medicinal plants (UVi, RFCs, CI and FL) and comparative analysis (JI and QS).
Fig. 3
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Fig. 3. Life form of plants used for ethno medicinal practices.
Fig. 4
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Fig. 4. Phyto parts used as traditional medicines for dental problems.
Fig. 5
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Fig. 5. Use value and Relative frequency citations of medicinal plants cited by the informants for various dental problems.
Fig. 6
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Fig. 6. No. of informants cited plant species used for various dental problems.
Fig. 7
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Fig. 7. Fidelity Level (%) and Consensus index (%) of medicinal plants cited by the informants for various diseases.
Fig. 8
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Fig. 8. Comparative analysis of the present work [1] with previous studies at regional, national and global level through Jaccard similarity index.
Fig. 9
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Fig. 9. Comparative analysis of the present work [1] with previous studies at regional, national and global level through Sorensen similarity index.
2. Experimental design, materials and methods
Field surveys were arranged for collection and documentation of medicinal plants of Manoor valley during 2015. Through structured questionnaire, a total of 71 local inhabitants were interviewed randomly. Recorded data were analyzed by using quantitative ethnomedicinal statistical indices/equations (Fig. 2) i.e. use value (UVi), relative frequency citations (RFCs), fidelity level index (FL%) and consensus index (CI%) [2]. For novel uses all plants were thoroughly checked with previously published articles on the same disorder and analyzed through Jaccard index (JI) and Sorensen׳s similarity index (QS) [3]. Comprehensive discussion and interpretation on these indices and comparative analyses with previous published articles/literature through JI and QS can be found in [1].
Conflict of Interest
The authors declare that they have no conflict of interests.
Acknowledgements
This dataset is the part of PhD work of I.U. Rahman. We are thankful to all the local community members and traditional healers/hakims for sharing their traditional ethnomedicinal knowledge with us.
References
[1]
I.U. Rahman, F. Ijaz, Z. Iqbal, A. Afzal, N. Ali, M. Afzal, M.A. Khan, S. Muhammad, G. Qadir, M. Asif
A novel survey of the ethno medicinal knowledge of dental problems in Manoor Valley (Northern Himalaya), Pakistan
J. Ethnopharmacol. (2016)
http://dx.doi.org/10.1016/j.jep.2016.10.068
[2]
F. Ijaz, Z. Iqbal, I.U. Rahman, S.M. Khan, G.M. Shah, K. Khan, A. Afzal
Investigation of traditional medicinal floral knowledge of Sarban Hills, Abbottabad, KP, Pakistan
J. Ethnopharmacol., 179 (2016), pp. 208-233
ArticlePDF (10MB)View Record in Scopus
[3]
I.U. Rahman, F. Ijaz, A. Afzal, Z. Iqbal, N. Ali, S.M. Khan
Contributions to the phytotherapies of digestive disorders; traditional knowledge and cultural drivers of Manoor Valley, Northern Pakistan
J. Ethnopharmacol., 192 (2016), pp. 30-52
ArticlePDF (3MB)View Record in Scopus
© 2016 The Authors. Published by Elsevier Inc.