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7,883 results for “Tropic”
FIGURE 1 in A new species of parasitic isopod (Bopyroidea: Ionidae) infesting burrowing shrimp (Axiidea: Callianassidae) in the tropical eastern Pacific
FIGURE 1. Neotrypaea tabogensis (Sakai, 2005) A, male and female hosts, dorsal view; B, Ione sarahae n. sp. female and male, dorsal view (MZUCR 3789-01). Scale bars: A = 5 mm, B = 2 mm (female), 250 µm (male).
FIGURE 4. Ione sarahae n in A new species of parasitic isopod (Bopyroidea: Ionidae) infesting burrowing shrimp (Axiidea: Callianassidae) in the tropical eastern Pacific
FIGURE 4. Ione sarahae n. sp., allotype, male, 3.5 mm TL (MZUCR 3789-01). A, habitus, dorsal view; B, habitus, ventral view; C, left antennula; D, left antenna; E, left pereopod 1. Scale bars: A, B = 250 µm; C, D = 50 µm; E = 200 µm.
Stuck on a small tropical island: wide in-situ diversification of an urban-dwelling bat
<p>Datasets for the manuscript "<strong>Stuck on a small tropical island: wide <em>in-situ</em> diversification of an urban-dwelling bat </strong>", including information of the bat samples and microsatellites and D-loop data.</p>
Regenerating tropical forests are consistently affected by biological invasions across spatial scales
<p>Here we present our raw data (obtained via fieldwork) and all our analysis from the manuscript entitled “Regenerating tropical forests are consistently affected by biological invasions across spatial scales”. This manuscript is available as a preprint (<a href="https://doi.org/10.32942/X2SC76">https://doi.org/10.32942/X2SC76</a>) and as a published paper in Biological Invasions (https://doi.org/10.1007/s10530-024-03257-x). </p> <p>We investigated the effects of white-popinac (<em>Leucaena leucocephala</em> (Lam.) de Wit) invasions on regenerating areas of Atlantic Forest, considering local and regional scales, and beta-diversity.</p> <p>To reproduce the results, please see instructions in the READ_ME.txt file. </p>
Azimuthally averaged tangential wind and radial wind for 3D WRF tropical cyclone simulations
<p>MAT-file </p> <p>setup number 1 to 9: V20B0.75R75, V20B0.75R100, V20B0.75R125; V20B1.0R75, V20B1.0R100, V20B1.0R125; V30B0.75R75, V30B0.75R100, V30B0.75R125</p> <p>time: hourly output</p> <p>iradius: radial grids, radius=(iradius-1)*2 km</p> <p>Vt(setup, time, iradius): tangential wind calculated from 10-m wind</p> <p>Vr(setup, time, iradius): radial wind calculated from 10-m wind</p> <p>M(setup, time, iradius): absolute angular momentum calculated using M=Vt*r+1/2*f*r^2</p> <p>nt(setup): maximum time step, 1 h interval</p> <p>nr(setup): maximum grid for radius, starting from center (0km) with 2 km interval</p> <p>Vmax(setup, time): maximum 10-m tangential wind</p> <p>RMW(setup, time): radius of maximum 10-m tangential wind</p> <p>MRMW(setup, time): absolute angular momentum at RMW</p> <p>SL(setup, time): M*(r*) slope calculated using best linear fit</p> <p>RIstart(setup): RI onset time</p> <p>RIend(setup): RI end time</p>
Precipitation Microphysics in Tropical Cyclones: A Global Perspective Using the NASA Global Precipitation Measurement Mission Dual-Frequency Precipitation Radar
<p>This dataset includes all files (in .npy format) that was used to plot distributions of the slopes of vertical profiles of reflectivity in the liquid phase, in the ice phase, and echo top heights using the NASA Global Precipitation Measurement mission Dual-Frequency Precipitation Radar. </p>
Data Used for the Publication "Use of Threshold Parameter Variation for Tropical Cyclone Tracking"
<p>Data used to produce the figures in "Use of Threshold Parameter Variation for Tropical Cyclone Tracking," as submitted to GMD.</p>
Assessing the improvement of Tropical Cyclone representation in the IPSL model with increasing resolution -- Data
<p>This folder contains the following data, used in the artcle "Assessing the improvement of Tropical Cyclone representation in the IPSL model with increasing resolution":</p> <p>* TC tracks in all the simulations, before and after the STJ filtering</p> <p>* Composite NetCDFs</p> <p>* Large scale variables used in the GPI, and the GPI itself, in ICO-VHR and ERA5</p>
Predictors of phylogeographic structure among codistributed taxa across the complex Australian monsoonal tropics
<p class="MsoCommentText"><span>Differences in the geographic scale and depth of phylogeographic structure across codistributed taxa can reveal how microevolutionary processes such as population isolation and persistence drive diversification. In turn, environmental heterogeneity, species' traits, and historical biogeographic barriers may influence the potential for isolation and persistence. Using extensive SNP data and a combination of population genetic summary statistics and landscape genomic analyses, we explored predictors of the scale and depth of phylogeographic structure in codistributed lizard taxa from the topographically and climatically complex monsoonal tropics (AMT) of Australia. We first resolved intraspecific lineages and then tested whether genetic divergence across space within lineages is related to isolation by distance, resistance and/or environment and whether these factors differ across genera or between rock-related versus habitat generalist taxa. We then tested whether microevolutionary processes within lineages explain differences in the geographic scale and depth of intraspecific phylogeographic lineages. The results indicated that landscape predictors of phylogeographic structure differ between taxa. Within lineages, there was prevalent isolation by distance, but the strength of isolation by distance is independent of the taxonomic family, habitat specialization, and climate. Isolation by environment is the strongest predictor of landscape-scale genetic divergence for all taxa, with both temperature and precipitation acting as limiting factors. The strength of isolation by distance does not predict the geographic scale of the phylogeographic structure. However, more localized lineages had higher mean individual heterozygosity and less negative Tajima's D. This result implies that finer-scale phylogeographic structuring within species is associated with larger and more stable populations and, hence, persistence.</span></p>
Deglacial temperature and carbonate saturation state variability in the tropical Atlantic at Antarctic Intermediate Water Depths
<p>Data and R script repository for the manuscript "Deglacial temperature and carbonate saturation state variability in the tropical Atlantic at Antarctic Intermediate Water Depths" (Oppo et al., 2023)</p>
FIGURE 4 in Abelmoschus odishae (Malvoideae: Malvaceae): a new wild okra from tropical Eastern India
FIGURE 4. SEM micrographs of seeds of Abelmoschus odishae sp. nov. A. Whole seed; B. Seed surface; C. Seed surface magnified; D. Trichomes on seed surface; E. Surface topography; F. Epidermal cells; G. Hilum; H. Hilum magnified. SEM images analysis (R.C.Misra 1566).
FIGURE 3 in Abelmoschus odishae (Malvoideae: Malvaceae): a new wild okra from tropical Eastern India
FIGURE 3. Abelmoschus odishae sp. nov. A. Habit: A1. Basal leaf, A2. Middle leaf, A3. Apical leaf; B. Stem with indumentum; C. Epicalyx: lateral view; D. Epicalyx: ventral view; E. Epicalyx enclosing flower bud; F. Longitudinal section of flower; G. Staminal column; H. Capsule; I. Seeds. Illustration by R.C.Misra.
FIGURE 2 in Abelmoschus odishae (Malvoideae: Malvaceae): a new wild okra from tropical Eastern India
FIGURE 2. Abelmoschus odishae sp. nov. A–B. Stem and branch showing indumentum; C. Basal leaf; D. Middle leaf; E. Apical leaves; F. Epicalyx enclosing flower bud; G. Epicalyx: lateral view; H. Epicalyx: dorsal view; I. Flower: front view; J. L.S. of flower; K. Sepal; L. Petals; M. Staminal column with epicalyx and sepal; N. Fruit; O. Dehisced capsules; P. Seeds. Photographs by R.C.Misra.
FIGURE 1 in Abelmoschus odishae (Malvoideae: Malvaceae): a new wild okra from tropical Eastern India
FIGURE 1. Abelmoschus odishae sp. nov. A. Natural occurrence of the species on a foot hill in Keonjhar district, Odisha; B. Location map of type collection site; C–D. Live plants maintained in the field gene bank; E. Type specimen preserved at ICAR-NBPGR, Cuttack. Photographs and location map by R.C.Misra.
Fig. 3 in Seed tannin composition of tropical plants
Fig. 3. Examples of the UV chromatograms (280 nm), quantification data and biological activities of the proanthocyanidin-rich samples. a) Lacistema aggregatum, b) Cnestidium rufescens, c) Platypodium elegans. Abbreviations: 3-CQA: 3-O-caffeoylquinic acid, 5-CQA: 5-O-caffeoylquinic acid, CAF: caffeic acid derivative, CAT: catechin, ECAT: epicatechin, G: galloyl group, GCAT: gallocatechin, PA: proanthocyanidin (in the info box: portion of proanthocyanidins), PC: procyanidin, 2PC: dimeric PC, PD: prodelphinidin, 3PD: trimeric PD, PT: mass spectrometric quantitation of selected polyphenolics, HT: portion of hydrolysable tannins, FC: total phenolics quantified using Folin-Ciocalteu assay, pH 10: portion of easily oxidized total phenolics, PPC: protein precipitation capacity reported in relation to the total phenolics.
Fig. 2 in Seed tannin composition of tropical plants
Fig. 2. Examples of the UV chromatograms (280 nm), quantification data and biological activities of the ellagitannin-rich samples. a) Combretum laxum, b) Eugenia coloradoensis, c) Myrcia splendens. Abbreviations: CAT: catechin, EA: ellagic acid, ET: ellagitannin, GlcA: glucuronic acid, PA: proanthocyanidin (in the info box: portion of proanthocyanidins), PC: procyanidin, PT: mass spectrometric quantitation of selected polyphenolics, HT: portion of hydrolysable tannins, FC: total phenolics quantified using Folin-Ciocalteu assay, pH 10: portion of easily oxidized total phenolics, PPC: protein precipitation capacity reported in relation to the total phenolics.
Fig. 1 in Seed tannin composition of tropical plants
Fig. 1. Examples of the UV chromatograms (280 nm), quantification data and biological activities of the gallic acid derivative-rich samples. a) Doliocarpus multiflorus, b) Anacardium excelsum, c) Canavalia campylocarpa. Abbreviations: 1GG: monogalloyl glucose, 2GG: digalloyl glucose, 3GG: trigalloyl glucose, 3GG (GT): gallotannintype 3GG, 4GG: tetragalloyl glucose, CAT: catechin, G: galloyl group, PT: mass spectrometric quantitation of total phenolics, HT: portion of hydrolysable tannins, PA: portion of proanthocyanidins, FC: total phenolics quantified using Folin-Ciocalteu assay, pH 10: portion of easily oxidized total phenolics, PPC: protein precipitation capacity reported in relation to the total phenolics.
Figure S2.13 in Seed tannin composition of tropical plants
Figure S2.13). Presumably due to the lower number of hydroxyl groups, these PAs were more hydrophobic than PCs and PDs – the hump of Psychotria PAs began to elute at ca. 4.0 min as opposed to ca. 2.0 min of PDs and ca. 3.0 min of PCs in other species. While fragmentation patterns characteristic to PAs appear in the mass spectra (retro-Diels-Alder fragmentation, heterocyclic ring fission, and quinone-methide fragmentation; Friedrich et al., 2000; Gu et al., 2003), coelution makes the assignation of the fragment ions to the correct corresponding molecular ions impossible. Based on our knowledge on the oxidative activities of phenolics, the high activities of these samples (see the following section) would indicate a presence of pyrogallol moieties (Kim et al, 2018, 2020; Vihakas et al., 2014). However, this would also require highly unusual PA structures, as this would mean that there would be no additional hydroxyl groups in 258 Da subunits, and for 274 Da subunits, there would only be one, likely at positions 3, 5 or 7. Alternatively, the high activity of Psychotria extracts was governed by compounds that were not detected or identified in this study, or by an unknown structure/activity relationship.
Fig. 4 in Cuticular wax composition contributes to different strategies of foliar water uptake in six plant species from foggy rupestrian grassland in tropical mountains
Fig. 4. Chain-length distribution of the very-long-chain (VLC) aliphatic compounds of leaf cuticular waxes of each of the six plant species with two different strategies of foliar water uptake. Data are shown as mean ± SD (n = 3). Bars stand for the contribution of a single chain-length to the total of VLC aliphatic wax load. Dark and grey bars represent plants with fast and slow FWU strategies, respectively. ACL: average-chain-length of the aliphatic wax fraction.
Fig. 5 in Cuticular wax composition contributes to different strategies of foliar water uptake in six plant species from foggy rupestrian grassland in tropical mountains
Fig. 5. NMDS plot of leaf cuticular wax composition of each of the six plant species and (A) leaf water uptake speed (parameter k) and (B) maximum leaf water absorption (parameter Cmax).
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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.
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.