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Figure 1-6. Eupteryx spp. 1-3 in Leafhopper Pest of Plants in the Mint Family, Eupteryx decemnotata Rey (Hemiptera: Auchenorrhyncha: Cicadellidae), Ligurian Leafhopper, New to North America
Figure 1-6. Eupteryx spp. 1-3) Eupteryx decemnotata Rey. 1) Body, dorsal view. 2) Body, lateral view. 3) Face, anteroventral view. 4-6) Eupteryx melissae Curtis. 4) Body, dorsal view. 5) Body, lateral view. 6) Face, anteroventral view.
MINT-data-v20230208
<p><strong>A public repository for the model simulation data used in MINT, the malaria intervention tool, found <a href="https://mint.dide.ic.ac.uk/">here</a>.</strong></p> <p>This dataset contains 2,540,160 model simulations from a malaria transmission dynamics model varying mosquito bionomics, malaria prevalence, transmission seasonality, history of insecticide-treated nets and indoor residual spraying, and projected vector control coverage. The dataset was created by running the model, varying parameters to represent the diversity of settings in malaria-endemic sub-Saharan Africa, and the projections resulting from these simulations are incorporated into Version 2 of the online malaria decision-making tool MINT.</p> <p>Full details of this update to MINT can be found in the article "Model projections of the epidemiological benefit of pyrethroid-pyrrole insecticide treated nets against malaria" (Churcher et al. 2024). An abstract is found below.</p> <p><strong>Background.</strong> Insecticide treated nets (ITNs) are the most important malaria prevention in Africa but the rise of pyrethroid resistance in mosquitoes is likely impeding control. The World Health Organisation have recommended a novel pyrethroid-pyrrole ITN following evidence of epidemiological benefit in cluster-randomised control trials (cRCTs) in Tanzania and Benin. It remains unclear how effective these more costly pyrethroid-pyrrole ITNs are compared to other tools and there is a need for guidance on use when budgets are limited. <strong>Methods.</strong> Entomological data are collated from across Africa to inform a malaria transmission dynamics model which is validated against cRCT results. The full impact of new ITNs is quantified for trial sites and simulations for different settings are included within a user-friendly interface MINT (https://mint.dide.ic.ac.uk/) to allow National Malaria Programmes (NMPs) to explore local impact and how budgets should be allocated across regions to avert most cases. <strong>Findings.</strong> The model projects that distributing pyrethroid-pyrrole ITNs averted 65% of cases over three-years in Tanzania, and 60% in Benin. It indicates that both cRCTs underestimated the benefit of switching to pyrethroid-pyrrole ITNs by at least 6-12%, as participants stopped using allocated nets. In non-trial settings pyrethroid-pyrrole ITNs are projected to reduce malaria prevalence by 20-65% over three-years and that switching from pyrethroid-only ITNs could avert an additional 10-30% more cases depending on where they were deployed. <strong>Interpretation.</strong> Pyrethroid-pyrrole ITNs are likely to be the most cost-effective indoor vector control intervention in Africa and NMPs can strategise deployment to maximise impact where budgets are restricted. </p> <p><strong>Funding.</strong> Funding from the Bill & Melinda Gates Foundation (OPP1200155), Innovative Vector Control Consortium through the New Nets Project funded by Unitaid, and a UKRI Future Leaders Fellowship to ES-S from the Medical Research Council (MR/T041986/1). GSC was supported by the Wellcome Trust (220900/Z/20/Z) and TSC, IS, AH, DPD, JC, PW, GC, ER, RF and ES-S received support from the MRC Centre for Global Infectious Disease Analysis (MR/R015600/1), jointly funded by the UK Medical Research Council (MRC) and the UK Foreign, Commonwealth & Development Office (FCDO), under the MRC/FCDO Concordat agreement, the EDCTP2 programme supported by the European Union, and Community Jameel.</p> <p>Other data and code that have supported the development of MINT can be found <a href="https://github.com/EllieSherrardSmith/Mosq-Net-Efficacy">here</a>. See below for a description of the data files, which can be downloaded below.</p>
MINTS Light Sensor Calibration Dataset
<p>MINTS Light Sensor Calibration Dataset, </p> <p>Hanson Center for Space Sciences, University of Texas at Dallas, Richardson, TX 75080, USA</p>
Data from: Analgesic effect of the mint terpenoid L-Carvone in sheep
Open the record for dataset details and reuse information.
Allopolyploid origin and diversification of the Hawaiian endemic mints
Open the record for dataset details and reuse information.
Phylotranscriptomic analyses reveal asymmetrical gene duplication dynamics and signatures of ancient polyploidy in mints
Open the record for dataset details and reuse information.
INDA_Y3_DA2_Paul_mint
Source: Objaverse 1.0 / Sketchfab
Figure 4 in Assessing pollinator richness on urban-grown mountain mint (Pycnanthemum spp.) populations
Figure 4. Categorisation of taxa found on Pycnanthemum spp. (a) Percentages of each group on P. tenuifolium and P. muticum throughout the monitoring period (P. tenuifolium n = 44; P. muticum n = 89). (b) Weekly percentages of each group on P. tenuifolium (Week 1 n = 23; Week 2 n = 30; Week 3 n = 27). (c) Weekly percentages of each group on P. muticum (Week 1 n = 32; Week 2 n = 33; Week 3 n = 36; Week 4 n = 32; Week 5 n = 44; Week 6 n = 34; Week 7 n = 42).
Figure 3 in Assessing pollinator richness on urban-grown mountain mint (Pycnanthemum spp.) populations
Figure 3. Non-metric multidimensional scaling (NMDS) plot showing the ordination of the flower visitor communities associated with different plant species over time (PT is Pycnanthemum tenuifolium and PM is P. muticum). The NMDS analysis was performed on the presence–absence data of pollinator species collected weekly. Each cross marker represents a species. The first two axes (NMDS1 and NMDS2) are displayed, which explain the majority of the variation in the data. Polygons represent the grouping of flower visitor communities by plant species.
Figure 2 in Assessing pollinator richness on urban-grown mountain mint (Pycnanthemum spp.) populations
Figure 2. Species accumulation curves for Pycnanthemum muticum (PM) and P. tenuifolium (PT) indicating the cumulative number of species detected over the sampling effort.
Figure 1 in Assessing pollinator richness on urban-grown mountain mint (Pycnanthemum spp.) populations
Figure 1. Location of the 10 monitoring sites in the greater Richmond, Virginia (USA), region, and which plants were observed.
Figure 6 in Assessing pollinator richness on urban-grown mountain mint (Pycnanthemum spp.) populations
Figure 6. Flower visitors on Pycnanthemum tenuifolium. (a) Apis mellifera. (b) Chauliognathus marginatus. (c) Pieris rapae. (d) Cerceris fumipennis.
Figure 8 in Assessing pollinator richness on urban-grown mountain mint (Pycnanthemum spp.) populations
Figure 8. Flower visitors on Pycnanthemum muticum. (a) Coelioxys octodentatus. (b) Sphex pensylvanicus. (c) Macrosiagon dimidiata. (d) Physocephala sp. (e) Eumenes fraternus. (f) Tachytes guatemalensis.
Figure 7 in Assessing pollinator richness on urban-grown mountain mint (Pycnanthemum spp.) populations
Figure 7. An evenness index of flower visitation on Pycnanthemum muticum across the 3-week monitoring period. Each taxon is plotted by the number of sites visited each week.
Figure 5 in Assessing pollinator richness on urban-grown mountain mint (Pycnanthemum spp.) populations
Figure 5. An evenness index of flower visitation on Pycnanthemum tenuifolium across the 3-week monitoring period. Each taxon is plotted by the number of sites visited each week.
A timeframe for mint evolution: Towards a better understanding of trait evolution and historical biogeography in Lamiaceae
<p>The mint family (Lamiaceae) is one of the largest and most economically important families of flowering plants. Despite focused study on relationships within subclades, higher-level relationships have been understudied. Moreover, the herbaceous habit of much of the family has resulted in a poor fossil record and has hampered estimates of divergence times. Using a new dataset of five plastid loci from 178 Lamiaceae representing all subfamilies and nearly all tribes, we clarify major infrafamilial relationships and present a robust set of divergence times. We use this phylogenetic hypothesis as a platform to test prior hypotheses regarding the historical biogeography and evolution of major traits within the family. We confirm the placement of subfamily Nepetoideae, show continued uncertainty in the placement of subfamilies Ajugoideae and Premnoideae, and highlight extreme discordance with recent results from nuclear data. Lamiaceae originated during the Late Cretaceous as a woody plant with a nutlet fruit and four stamens, probably in Southeast Asia. Most subfamilies diverged during the Eocene, perhaps facilitated by climatic cooling. Our results provide a valuable set of secondary dates for Lamiaceae and highlight the need for focused study of subfamilies Callicarpoideae and Viticoideae. Our results also provide several hypotheses regarding trait or range-dependent diversification.</p>
FIGURE 5 in Description of a new species of Aspidonema (Sachs, 1949) Andrássy, 1958 (Nematoda: Bunonematidae) associated with mint leaf beetle Chrysolina herbacea (Duftschmid, 1825) from India
FIGURE 5. Light micrograph of A. kashmirensis sp. nov. male A: Pharyngeal region. B, C: Posterior body region showing arrangement of bursal papillae. D: Bifid tail end. E, F: Cloacal region showing spicules and gubernaculum (Scale bars= 5 μm).
FIGURE 4 in Description of a new species of Aspidonema (Sachs, 1949) Andrássy, 1958 (Nematoda: Bunonematidae) associated with mint leaf beetle Chrysolina herbacea (Duftschmid, 1825) from India
FIGURE 4. Light micrograph of A. kashmirensis sp. nov. female A–C: Anterior body region showing shields and warts. C, D: Body region showing warts and network. E, F: Body region showing striated ridge. G–I: Body region showing ridges; J, K: Anterior end. L: Pharyngeal region. M: Female reproductive system. N: Mid body region showing warts and vulval opening. O, P: Posterior body region (Scale bars= 5 μm).
FIGURE 3 in Description of a new species of Aspidonema (Sachs, 1949) Andrássy, 1958 (Nematoda: Bunonematidae) associated with mint leaf beetle Chrysolina herbacea (Duftschmid, 1825) from India
FIGURE 3. SEM micrographs of A. kashmirensis sp. nov. A, B: Body region showing warts, shields and network. C: Body region with few shields sloughed off. D–G: Body region with warts; shields removed leaving fish bone-like or peg-like remnants of attachment with underlying cuticle. H: Body region showing warts and ridges. I: Vulval region showing obliterated outermost ridge. J–K: Left side of body with longitudinal ridges (Scale bars = 5 μm).
mrc-ide/mint-data: mint-data-v20230208
<p>Uploading v20230208 of the MINT simulation data</p>
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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.
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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.
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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.