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9,671 results for “Leaf”
Fig. 1 in Chemical control of leaf-cutting ants: how do workers disperse toxic bait fragments onto fungus garden?
Fig. 1. Variograms columns: control, sulfluramid and indoxacarb.
Figs. 4-5 in Leaf-beetles Oulema septentrionis (Weise, 1880) and O. erichsonii (Suffrian, 1841) (Coleoptera: Chrysomelidae) in Latvian fauna
Figs. 4-5. Apex of flagellum: 4 – Oulema erichsoni, 5 – O. septentrionis
Fig. 1 in Effects of cycloheximide on the mortality of Atta sexdens leaf-cutting worker ants
Fig. 1. Survival curves of Atta sexdens workers during 21 days.
Figure 12 in Review of leaf beetles of the family Megalopodidae (Coleoptera: Chrysomeloidea) from Siberia and the Russian Far East
Figure 12. Distribution of Zeugophora frontalis in Siberia and the Russian Far East.
Figure 11 in Review of leaf beetles of the family Megalopodidae (Coleoptera: Chrysomeloidea) from Siberia and the Russian Far East
Figure 11. Distribution of Zeugophora flavicollis in Siberia and the Russian Far East.
Figure 8 in Review of leaf beetles of the family Megalopodidae (Coleoptera: Chrysomeloidea) from Siberia and the Russian Far East
Figure 8. Distribution of Zeugophora bicolor in Russia.
Figure 15 in Review of leaf beetles of the family Megalopodidae (Coleoptera: Chrysomeloidea) from Siberia and the Russian Far East
Figure 15. Distribution of Zeugophora subspinosa in Asia
Figure 3 in Review of leaf beetles of the family Megalopodidae (Coleoptera: Chrysomeloidea) from Siberia and the Russian Far East
Figure 3. Distribution of Poecilomorpha cyanipennis in Russia.
Figure 14 in Review of leaf beetles of the family Megalopodidae (Coleoptera: Chrysomeloidea) from Siberia and the Russian Far East
Figure 14. Distribution of Zeugophora hozumii.
Figure 10 in Review of leaf beetles of the family Megalopodidae (Coleoptera: Chrysomeloidea) from Siberia and the Russian Far East
Figure 10. Distribution of Zeugophora cupka.
Figure 13 in Review of leaf beetles of the family Megalopodidae (Coleoptera: Chrysomeloidea) from Siberia and the Russian Far East
Figure 13. Distribution of Zeugophora nigricollis in Russia.
Figure 9 in Review of leaf beetles of the family Megalopodidae (Coleoptera: Chrysomeloidea) from Siberia and the Russian Far East
Figure 9. Distribution of Zeugophora bimaculata in Russia.
Figure 6 in Review of leaf beetles of the family Megalopodidae (Coleoptera: Chrysomeloidea) from Siberia and the Russian Far East
Figure 6. Distribution of Temnaspis nankinea in Russia.
Figure 5 in Review of leaf beetles of the family Megalopodidae (Coleoptera: Chrysomeloidea) from Siberia and the Russian Far East
Figure 5. Distribution of Temnaspis japonica in Russia.
Figure 17 in Review of leaf beetles of the family Megalopodidae (Coleoptera: Chrysomeloidea) from Siberia and the Russian Far East
Figure 17. Distribution of Zeugopora turneri in Nortern Asia.
Data for: "Chromosome One QTLs Associated with Beta Vulgaris Response to Bacterial Leaf Spot"
<p>Listed here are data used in analysis for publication "Chromosome One QTLs Associated with Beta Vulgaris Response to Bacterial Leaf Spot".</p> <p>Data included: filtered VCF files of SNP marker data for full Wisconsin Beta Diversity Panel (WBDP, n=219) and table beet subset (n=152). Deposited also are the raw phenotypic values, the final weighted BLS score per pot, the BLUE value for each accession, and the leaf color covariate data.</p>
Leaf radiocarbon data from two plant species in Saint Paul, Minnesota, USA 2020
<div> <div><span>Over half of Earth’s human population lives in urban areas, where pollution from carbon-based fossil fuel combustion threatens air quality and public health, and contributes significantly to the rapid increase of greenhouse gases. The isotopic composition of plant tissues can be used as a tool to estimate local variation in fossil fuel-derived carbon dioxide and thus contributions of fossil fuel combustion to the local atmosphere in urban anthromes. We present a case study that examines this variation in leaf modern radiocarbon content against a backdrop of historic discriminatory policies (here, ‘redlining’), within Saint Paul, Minnesota, USA. Radiocarbon values from leaves suggest varied distribution of atmospheric fossil fuel derived carbon emissions across Saint Paul greenspaces, with evidence of higher exposure near areas of high-volume traffic. Similar studies rarely measure plant material from both perennial and annual plants: here we report carbon values from leaves from a deciduous tree and an annual forb to compare function differences in carbon age. Isotopic carbon signatures in plant material capture evidence of emissions that may reveal unequal pollution exposure. </span></div> <div> </div> <div><span>Leaf samples were collected in August 2020 in Saint Paul, Minnesota, USA. Radiocarbon samples were run at UC-Irvine Keck AMS in Fall 2020. </span></div> <div> </div> <div><span>Accompanying article Heskel, Hrycyna et al. (2024) is published in <em>Plants, People, Planet</em> (specific information on the paper to be shared when available).</span></div> <div> </div> <div><strong><span>Plant Genus </span></strong><span><em>Fraxinus; Taraxacum</em> </span></div> <div><strong><span><span>HOLC: </span></span></strong><span><span>Identifying letter and color according to the sampling location based on historical Home Owner's Loan Corporation maps.</span></span></div> <div><strong><span><span>Site: </span></span></strong><span><span>Code for public park location. More specific details available in article. </span></span></div> <div><strong><span><span>Latitude: </span></span></strong><span><span>Sampling latitude </span></span></div> <div><strong><span><span>Longitude: </span></span></strong><span><span>Sampling longitude</span></span></div> <div><strong><span><span>Distance to major roadway (m): </span></span></strong><span><span>Distance from the sampling site to either a highway or major road (4 lanes or greater) in Saint Paul, in meters</span></span></div> <div><strong><span><span>Δ14C value: </span></span></strong><span><span>Measured value of leaf </span></span><span><span>Δ14C</span></span></div> <div><strong><span><span>Δ14C SD: </span></span></strong><span><span>Measured standard deviation of leaf </span></span><span><span>Δ14C</span></span></div> <div><strong><span><span>CO2-FF: </span></span></strong><span><span>amount of CO2 that is derived from fossil fuel combustion for each leaf sample. Details on this calculation is in the article. </span></span></div> <div> <table> <tbody> <tr> <td> </td> </tr> </tbody> </table> </div> <div> </div> </div>
Divergence time and environmental similarity predict the strength of morphological convergence in stick and leaf insects
<p>This uploads contains the datasets, phylogenetic tree and associated R code used to generate the results reported in the article: "Divergence time and environmental similarity predict the strength of morphological convergence in stick and leaf insects" published in Proceedings of the National Academy of Sciences USA (2024).<br>A detailed explanation of datasetS1 can be found in the supplementary data of the article. </p>
PHENOLOGICAL INDICATORS OF RESOURCES OFFERED TO LEAF HERBIVORES IN RESTINGA COMMUNITIES
<p>Dataset from the second chapter of the doctoral thesis entitled “HERBIVORY PATTERNS, ANTI-HERBIVORY DEFENSES AND INSECT GUILD OCCURRENCE IN ATLANTIC FOREST COMMUNITIES.” </p>
Table 4 in Mites associated with egg masses of the viburnum leaf beetle Pyrrhalta viburni (Paykull) on Viburnum tinus L.
<p><b>Table 4</b> Factors affecting (a) total mite abundance, (b) phytophagous/detritivorous mite abundance, (c) predaceous mite abundance, and (d) diversity of mite morphotypes on <i>Viburnum tinus</i> twigs artificially infested with <i>Pyrrhalta viburni</i> egg masses (ANOVA, α = 0.05) during the timing of mite infestation experiment (2016-2017). Bold values indicate significant effects.</p><table><tbody><tr><th>(a) Total mite abundance</th><th></th><th>df</th><th>F-value</th><th><i>P</i> -value</th></tr></tbody><tbody><tr><th></th><td></td><td>8, 93</td><td>5.84</td><td><b><0.0001</b></td></tr><tr><th>Effects tested</th><td>Time of collection</td><td>2</td><td>6.04</td><td><b><0.01</b></td></tr><tr><th></th><td>Site</td><td>3</td><td>1.73</td><td>0.16</td></tr><tr><th></th><td>Twig length (cm)</td><td>1</td><td>0.62</td><td>0.43</td></tr><tr><th></th><td>Number of intact egg masses</td><td>1</td><td>13.85</td><td><b><0.001</b></td></tr><tr><th></th><td>Number of damaged egg masses</td><td>1</td><td>6.73</td><td><b>0.01</b></td></tr><tr><th>(b) Phytophagous/Detritivorous mite abundance</th><td>df</td><td>F-value</td><td><i>P</i> -value</td></tr><tr><th></th><td></td><td>8, 93</td><td>3.52</td><td><b><0.01</b></td></tr><tr><th>Effects tested</th><td>Time of collection</td><td>2</td><td>5.53</td><td><b><0.01</b></td></tr><tr><th></th><td>Site</td><td>3</td><td>1.88</td><td>0.14</td></tr><tr><th></th><td>Twig length (cm)</td><td>1</td><td>0.2</td><td>0.65</td></tr><tr><th></th><td>Number of intact egg masses</td><td>1</td><td>3.39</td><td>0.07</td></tr><tr><th></th><td>Number of damaged egg masses</td><td>1</td><td>1.19</td><td>0.27</td></tr><tr><th>(c) Predaceous mite abundance</th><td></td><td>df</td><td>F-value</td><td><i>P</i> -value</td></tr><tr><th></th><td></td><td>10, 89</td><td>3.38</td><td><b><0.01</b></td></tr><tr><th>Effects tested</th><td>Time of collection</td><td>2</td><td>0.61</td><td>0.54</td></tr><tr><th></th><td>Site</td><td>3</td><td>1.74</td><td>0.16</td></tr><tr><th></th><td>Twig length (cm)</td><td>1</td><td>0.58</td><td>0.44</td></tr><tr><th></th><td>Number of intact egg masses</td><td>1</td><td>15.54</td><td><b><0.001</b></td></tr><tr><th></th><td>Number of damaged egg masses</td><td>1</td><td>8.52</td><td><<b>0.01</b></td></tr><tr><th>(d) Total mite diversity</th><td></td><td>df</td><td>F-value</td><td><i>P</i> -value</td></tr><tr><th></th><td></td><td>10, 89</td><td>3.93</td><td><b><0.001</b></td></tr><tr><th>Effects tested</th><td>Time of collection</td><td>2</td><td>1.04</td><td>0.36</td></tr><tr><th></th><td>Site</td><td>3</td><td>3.27</td><td><b>0.02</b></td></tr><tr><th></th><td>Twig length (cm)</td><td>1</td><td>0.52</td><td>0.47</td></tr><tr><th></th><td>Number of intact egg masses</td><td>1</td><td>13.07</td><td><b><0.001</b></td></tr><tr><th></th><td>Number of damaged egg masses</td><td>1</td><td>2.98</td><td>0.09</td></tr></tbody></table>
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Allen Brain Atlas
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DANDI Archive for NWB datasets
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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.