Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
160
datasets available to search
ShareScore release 0.9.0
Dataset results
160 results for “medicinal plants”
Fig. 13 in Systematic review of the alkaloid constituents in several important medicinal plants of the Genus Corydalis
Fig. 13. Chemical structures of compounds 282, 283.
Fig. 11 in Systematic review of the alkaloid constituents in several important medicinal plants of the Genus Corydalis
Fig. 11. Chemical structures of compounds 215–224.
Fig. 2 in Systematic review of the alkaloid constituents in several important medicinal plants of the Genus Corydalis
Fig. 2. Chemical structures of compounds 38–44.
Fig. 5 in Systematic review of the alkaloid constituents in several important medicinal plants of the Genus Corydalis
Fig. 5. Chemical structures of compounds 118–137.
Fig. 8 in Systematic review of the alkaloid constituents in several important medicinal plants of the Genus Corydalis
Fig. 8. Chemical structures of compounds 172–177.
Fig. 10 in Systematic review of the alkaloid constituents in several important medicinal plants of the Genus Corydalis
Fig. 10. Chemical structures of compounds 205–214.
Fig. 1 in Systematic review of the alkaloid constituents in several important medicinal plants of the Genus Corydalis
Fig. 1. Chemical structures of compounds 1-37.
Fig. 7 in Systematic review of the alkaloid constituents in several important medicinal plants of the Genus Corydalis
Fig. 7. Chemical structures of compounds 155–171.
Fig. 4 in Systematic review of the alkaloid constituents in several important medicinal plants of the Genus Corydalis
Fig. 4. Chemical structures of compounds 116–117.
Fig. 12 in Systematic review of the alkaloid constituents in several important medicinal plants of the Genus Corydalis
Fig. 12. Chemical structures of compounds 225–281.
Fig. 6 in Systematic review of the alkaloid constituents in several important medicinal plants of the Genus Corydalis
Fig. 6. Chemical structures of compounds 143–153.
Fig. 9 in Systematic review of the alkaloid constituents in several important medicinal plants of the Genus Corydalis
Fig. 9. Chemical structures of compounds 178–204.
Fig. 3 in Systematic review of the alkaloid constituents in several important medicinal plants of the Genus Corydalis
Fig. 3. Chemical structures of compounds 45–115.
Figure 1 from: Sun Y-R, Liu N-G, Hyde KD, Jayawardena RS, Wang Y (2022) Pleocatenata chiangraiensis gen. et. sp. nov. (Pleosporales, Dothideomycetes) from medicinal plants in northern Thailand. MycoKeys 87: 77-98. https://doi.org/10.3897/mycokeys.87.79433
Figure 1 Maximum likelihood tree generated by IQ-Tree, based on analysis of a combined dataset of LSU, SSU, tef1-α, rpb2 and ITS sequence data. Bootstrap support values for ML greater than 75% and Bayesian posterior probabilities greater than 0.95 are given near nodes, respectively. Ex-type strains are in bold, the new isolates are in red.
Figure 2 from: Sun Y-R, Liu N-G, Hyde KD, Jayawardena RS, Wang Y (2022) Pleocatenata chiangraiensis gen. et. sp. nov. (Pleosporales, Dothideomycetes) from medicinal plants in northern Thailand. MycoKeys 87: 77-98. https://doi.org/10.3897/mycokeys.87.79433
Figure 2 Pleocatenata chiangraiensis (MFLU 22-0002, holotype) a host (Tarenna stellulata) b, c colonies on natural substrate d, e conidiophores with conidia f conidiogenous cells g–k conidia l germinated conidium m, n colonies on PDA (upper view and lower view). Scale bars: 1 mm (b); 100 μm (c); 20 μm (d–l).
Figure 5 from: Mincheva I, Jordanova M, Benbassat N, Aneva I, Kozuharova E (2019) Ethnobotany and exploitation of medicinal plants in the Rhodope Mountains – is there a hazard for Clinopodium dalmaticum? Pharmacia 66(2): 49-52. https://doi.org/10.3897/pharmacia.66.e35139
Figure 5 Traditional knowledge about therapeutic effects of Clinopodiumdalmaticum (% of anecdotal reports).
Figure 2 from: Mincheva I, Jordanova M, Benbassat N, Aneva I, Kozuharova E (2019) Ethnobotany and exploitation of medicinal plants in the Rhodope Mountains – is there a hazard for Clinopodium dalmaticum? Pharmacia 66(2): 49-52. https://doi.org/10.3897/pharmacia.66.e35139
Figure 2 Dried plant material of Clinopodiumdalmaticum known by the informants as "Wild mint"or "White mint".
Ethnobotanical study of medicinal plants used by Ensaro people to treat human diseases
<p class="CxSpFirst"><strong>Abstract </strong></p> <p class="CxSpMiddle"><strong>Introduction</strong>: - People all over the world have been using medicinal plants to treat various ailments and diseases throughout history. It is still common in developing countries. Because is easily accessible, affordable, and trusted by the communities. Although there are several ethnobotanical studies on medicinal plants in Ethiopia, the number of medicinal plant species and indigenous knowledge documented is still low compared to the high diversity of culture and habitats.</p> <p class="CxSpMiddle"><strong>Methods: -</strong> Ethnobotanical data were collected during the 13th of February 2019 and the 26th of October 2020 through Semi-structured interviews, field observation, a guided field walk, and focus group discussions</p> <p><strong>Result: - </strong>the study documented 142 medicinal plant species distributed in<strong> </strong>125 genera and 56 families which used to treat 52 ailments. Most of these species were collected from wild habitats. The most used plant families were Fabaceae (14) followed by lamiaceae (9) and Solanaceae (9). Most of these medicinal plants were herbs followed by shrubs.</p> <p class="CxSpMiddle"><strong>Conclusion</strong></p> <p class="CxSpMiddle">The study revealed a relatively high diversity of medicinal plants that indicated the existence of indigenous knowledge of using medicinal plants to treat ailments and diseases. The findings of this study supported up the idea that indigenous knowledge of using medicinal plants is still alive in highly degraded areas. To make sustainable use of these medicinal plants in the study area, local people must collaborate with natural resource administrators to manage them before they become seriously threatened. Both ex-situ and In-situ conservation strategies should be combined and employed urgently for optimal conservation results</p>
Figure 2 from: DeFilipps RA, Krupnick GA (2018) The medicinal plants of Myanmar. PhytoKeys 102: 1-341. https://doi.org/10.3897/phytokeys.102.24380
Figure 2 The number of botanic gardens worldwide that have digitally recorded accessions of each of the 472 medicinal plant species treated in this study.
Figure 1 from: DeFilipps RA, Krupnick GA (2018) The medicinal plants of Myanmar. PhytoKeys 102: 1-341. https://doi.org/10.3897/phytokeys.102.24380
Figure 1 IUCN conservation assessments of the medicinal plant species treated in this study (IUCN 2017).
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.