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Figure 3 in Longterm study in Leucoptera coffeella population from southern Minas Gerais, Brazil
Figure 3: Correlation between the number of intact larvae and average monthly temperature between January 2015 and December 2019 (Chi = 73.19, p = 0.02701) (IL: intact mines; temp: average monthly temperature).
Figure 1 in Longterm study in Leucoptera coffeella population from southern Minas Gerais, Brazil
Figure 1: A: Variation in observed values of biological parameters (AL, number of attacked leaves; IL, number of intact larvae present on leaves; PL, number of predated larvae observed on leaves). B: Variation in observed values of abiotic parameters (mean monthly temperature; total monthly precipitation).
Figure 1 in Une Zammara nouvelle pour la Guyane (Homoptera Cicadidae)
Figure 1. – Différents « patterns » des ailes de spécimens de Zammara brevis de Guyane française (taille réelle). En haut, mâles: a) liaison Régina – Saint-Georges, DZ 5 (386 900-445 800), 5 au 9-IV-1992; b) idem; c) piste Paul- Isnard, PK 45, 8-v-1992. En bas, femelles: d) piste Paul-Isnard PK 45, 8-v-1992; e) piste de Petit Saut, PK 18 + PK 3, 2-xii-1993; f) liaison Régina – Saint-Georges, DZ 5 (386 900-445 800), 5 au 9-IV-1992.
Figure 6 in Longterm study in Leucoptera coffeella population from southern Minas Gerais, Brazil
Figure 6: Pearson's correlation pyramid showing the degree and value of the correlations between the studied biological and environmental variables (AL, number of attacked leaves; IL, number of intact larvae present on leaves; PL, number of predated larvae observed on leaves; Temp, average monthly temperature; Prec, total monthly rainfall).
Figure 2 in Une Zammara nouvelle pour la Guyane (Homoptera Cicadidae)
Figure 2. – Zammara strepens Aymot & Serville, 1843, mâle (taille réelle). Guyane française, Regina – Saint-Georges, DZ 5, IV-1992.
Figure 2 in Longterm study in Leucoptera coffeella population from southern Minas Gerais, Brazil
Figure 2: Correlation between the number of attacked leaves and average monthly temperature between January 2015 and December 2019 (F = 6.7135, p = 0.01208) (AL: attacked leaves; temp: average monthly temperature).
Figure 5 in Longterm study in Leucoptera coffeella population from southern Minas Gerais, Brazil
Figure 5: Correlation between the number of predated larvae and the number of attacled leaves between January 2015 and December 2019 (F = 57.68, p <0.01) (MP: predated mines; FM: mined leaves).
Figure Data_Edge modes in 1D MW PC
<p>(a,b) The 2D transmission spectra of the finite periodic microstrip calculated for different values of the bulk<br>parameter: l/d. The solid black lines mark the edges of the bands for the infinite microstrip, corresponding to kz = 0 or kz = π/d. Two ratios l/d = 0.25 and 0.625 are indicated by vertical dashed lines. The symmetry of the Bloch function at the edges of the band is indicated by the letters S and A, respectively. We considered the system (a) composed of five centrosymmetric cells and (b) its modification, where we added cells of modified sizes at the beginning and end of the microstrip. The sizes of the edge cells and all other parameters are the same as those given in the System section. (c,d) The cross section of the 2D spectra (a,b) at l/d = 0.625 (solid black curves) is supplemented by the measured (red curve) transmission spectra for fabricated structures. For the microstrip with additional cells of modified sizes, we can identify the transmission peaks in the second frequency gap (gray area in (d)). This double peak is attributed to edge modes that decay exponentially in space. It is noteworthy that the edge modes do not exist in the second gap for smaller values of l/d. This is related to the qualitative change in the spectrum, where the order of the edges of the gap and their symmetry are swapped: from symmetric (antisymmetric), for small l/d, to antisymmetric (symmetric), for large l/d, at the lower (upper) edge of the gap. The frequency of the edge modes can be tuned by modifying the edge cells: d0 = 12.5 mm, l0 = 0.5 mm, w0 = 11 mm – see black dotted line. The induction of the edge modes is obtained at the expense of attenuation of the third band due to the strong impedance mismatch in this frequency range.</p>
Updated Supplementary Figures for Can leafhoppers help us trace the impact of climate change on agriculture?
<p>Supplementary Figures for: <strong>Can</strong> <strong>leafhoppers help us trace the impact of climate change on agriculture? </strong>to be posted in bioRxiv.</p><p><strong>Figure S1. </strong>Diversity indexes calculated in this study to compare leafhopper diversity each growing season investigated in this study and the geographic regions where the strawberry fields were located. Statistical analyses were performed for Shannon and Simpson finding that in both cases there is no interaction between years and regions with <i>p</i> = 0.0889 and <i>p</i> = 0.7139, respectively.</p><p><strong>Figure S2.</strong> Distinctive RFLP patterns obtained with <i>Cpn</i>ClassiPhyR from <i>in silico</i> digestion of <i>cpn60</i>UT from SbGPQ clones and AY-Col. Lanes labelled MW in <i>in silico</i> RFLP represent <i>Hae</i>III-digested phage <i>ϕ</i>X174 DNA.</p><p><strong>Figure S3.</strong> Phylogenetic tree using neighbour-joining method of the <i>16S, secY, nusA, rp, secA, cpn60 </i>and<i> tuf</i> sequences obtained in this study for the SbGP phytoplasma and sequences retrieved from Genbank. <i>Acholeplasma laidlawii</i> PG8 was used as an outgroup. The phylogenetic tree was bootstrapped 1000 times to achieve reliability. Bar, 1 substitution in 100 or 500 positions. </p><p><strong>Fig. S3 Panel 1: </strong>cpn60UT, tuf, and secY trees.</p><p><strong>Fig. S3 Panel 2:</strong> nusA, rp, and secA trees.</p><p><strong>Fig. S3 Panel 3:</strong> 16S tree with subtree showing heterogeneity of SbGPQ and 'Ca. P. tritici'.</p><p><strong>Figure S4.</strong> Leafhopper feeding-associated damages observed in strawberry plants. <strong>A</strong>, in the field. <strong>B</strong>, in the greenhouse after incubation with leafhoppers.</p><p><strong>Figure S5.</strong> Alpha diversity indexes were calculated to study <i>Macrosteles quadrilineatus</i> microbiome observed for each growing season. No statistical difference was observed among the sites for any of the indexes calculated.</p><p><strong>Figure S6.</strong> Effect of insecticides leafhopper population control. Only those with a number of applications higher or equal to five are presented. We did not find statistical differences among the treatments before and after the application of the insecticides with <i>p</i> = 0.8488.</p><p><strong>Figure S7.</strong> Effect of insecticides on <i>Macrosteles quadrilineatus</i> and <i>Empoasca fabae</i> population control. All insecticides (n = 12) are represented but the statistical analysis was only performed with those that the number of applications was higher than 5. We did not find statistical differences among the treatments before and after the application of the insecticides with <i>p</i> = 0.1781 for the aster leafhopper <i>M.</i> <i>quadrilineatus </i>and <i>p</i> = 0.6540 for the potato leafhopper <i>E. fabae</i>.</p><p><strong>Figure S8.</strong> Comparison among the Shannon index obtained for leafhopper populations in vineyards in 2007 and 2008 and for leafhopper populations in strawberry fields in 2021 and 2022 in Quebec.</p>
Figure 3. The phylogenetic relationship between G in The Complete Mitochondrial Genome of Glischropus bucephalus (Vespertilionidae; Chiroptera) Provides New Evidence for Pipistrellus Paraphyly
Figure 3. The phylogenetic relationship between G. bucephalus and the other Pipistrellini species is inferred by maximum likelihood analysis based on cytb sequences. The numbers in the branches show the bootstrap values. Vespertilio species are used as outgroups.
Figure 1 in The Complete Mitochondrial Genome of Glischropus bucephalus (Vespertilionidae; Chiroptera) Provides New Evidence for Pipistrellus Paraphyly
Figure 1. Map of the G. bucephalus mitogenome. Gray color indicates the PCG regions; red color— tRNAs; yellow color—rRNAs. The heavy strand in the outer circle encodes 28 genes, whereas 9 genes are encoded in the light strand in the inner circle.
Figure 2. The phylogenetic relationship between G in The Complete Mitochondrial Genome of Glischropus bucephalus (Vespertilionidae; Chiroptera) Provides New Evidence for Pipistrellus Paraphyly
Figure 2. The phylogenetic relationship between G. bucephalus and the other Vespertilioninae species is inferred by the maximum likelihood analysis based on the concatenated protein-coding gene sequences. The bootstrap values (indicated by the slashes on the branches) correspond to the trees constructed on full sequences (three codon positions), the first two codon positions (third positions omitted), and two positions with the exclusion of the Nd6 gene. The asterisks mark branches that in the second or third case have a different topology than shown. Myotis species are used as outgroups.
Figure S1 in New Insights into the Taxonomy of Myotis Bats in China Based on Morphology and Multilocus Phylogeny
Figure S1. Phylogenetic trees reconstructed based on 123 mitochondrial Cytb haplotypes. Values on the branches represent posterior probability obtained with MrBayes (A) and bootstrap percentage obtained with IQ-TREE (B). Geometries of different colors and shapes represent Myotis species. The information on mitochondrial haplotypes was described in Table S3.
Figure 2 in New Insights into the Taxonomy of Myotis Bats in China Based on Morphology and Multilocus Phylogeny
Figure 2. Principal component analysis based on five morphological characteristics. The first two principal components explained 88.77% and 6.77% of the total variance, respectively. Geometries with different colors and shapes represent Myotis species.
Figure 4 in New Insights into the Taxonomy of Myotis Bats in China Based on Morphology and Multilocus Phylogeny
Figure 4. (A) Species tree constructed in *BEAST based on Cytb, Rag2, and Chd1 genes. Values on the branch represent posterior probability. (B) Heatmap of K2P genetic distance calculated based on mitochondrial Cytb gene (lower triangular) and concatenated nuclear genes (upper triangular). Geometries with different colors and shapes represent Myotis species and corresponds to the species on the left side.
Figure 1 in New Insights into the Taxonomy of Myotis Bats in China Based on Morphology and Multilocus Phylogeny
Figure 1. Mitochondrial phylogenetic tree reconstructed based on 123 Cytb haplotypes. Values on the branches represent posterior probability (PP) and bootstrap percentage (BP). Geometries with different colors and shapes represent Myotis species. "Initial" represents the initially filed identification or the species information labelled in GenBank. "Revised" means the revised species names. The information on mitochondrial haplotypes was described in Table S3.
Figure S2 in New Insights into the Taxonomy of Myotis Bats in China Based on Morphology and Multilocus Phylogeny
Figure S2. Phylogenetic trees reconstructed based on 20 nuclear Rag2 haplotypes (A‒B), 13 nuclear Chd1 haplotypes (C‒D), and concatenated nuclear sequences (E‒F). Values on the branches represent posterior probability obtained with MrBayes (BI) and bootstrap percentage obtained with IQ-TREE (ML). Geometries of different colors and shapes represent Myotis species. The information on nuclear haplotypes was described in Table S4.
Figure 3 in New Insights into the Taxonomy of Myotis Bats in China Based on Morphology and Multilocus Phylogeny
Figure 3. (A) Phylogenetic tree based on concatenated nuclear genes. Values on the branches represent posterior probability (PP) and bootstrap percentage (BP). (B) Species tree constructed in *BEAST based on nuclear Rag2 and Chd1 genes. Values on the branch represent posterior probability. Geometries with different colors and shapes represent Myotis species.
Figure 3 in Acmaeodera (Coleoptera: Buprestidae): A new species of Acmaeodera Eschscholtz, 1829 from the southwestern United States, with three new synonymies, new state and host records, and a key to species occurring east of the Rocky Mountain states
Figure 3. Acmaeodera conoidea Fall, paralectotype ♂. a) Dorsal view. b) Ventral view. c) Lateral view. d) Broadly arcuate clypeus e) Third stria split near umbone. f) Protarsal claw.
Figure 2. Male genitalia, Acmaeodera tubulus species group. a in Acmaeodera (Coleoptera: Buprestidae): A new species of Acmaeodera Eschscholtz, 1829 from the southwestern United States, with three new synonymies, new state and host records, and a key to species occurring east of the Rocky Mountain states
Figure 2. Male genitalia, Acmaeodera tubulus species group. a) A. natlovei new species. b) A. neoneglecta. c) A. tubulus. d) A. neglecta. e) A. opuntiae.
ScienceDex guides
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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.