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Fig. 7 in Comparative analysis of the population structure of Crematogaster subdentata and Lasius neglectus in the primary and secondary ranges (Hymenoptera: Formicidae)
Fig. 7 – Comparison of the sizes of foraging areas of polycalic colonies and supercolonies of Crematogaster subdentata and Lasius neglectus in the primary and secondary ranges: a, Crimea, b, – Rostov-on-Don, c, Tashkent.
Fig. 6 in Comparative analysis of the population structure of Crematogaster subdentata and Lasius neglectus in the primary and secondary ranges (Hymenoptera: Formicidae)
Fig. 6 – Average values of the average size of the foraging areas of Crematogaster subdentata (a) and Lasius neglectus (b) in the primary and secondary ranges. C – Crimea, T – Tashkent, R – Rostov-on-Don.
Fig. 5 in Comparative analysis of the population structure of Crematogaster subdentata and Lasius neglectus in the primary and secondary ranges (Hymenoptera: Formicidae)
Fig. 5 – Relation of tree and shrub species visited by Crematogaster subdentata (a, Crimea, b, Rostov-on-Don, c, Tashkent) and Lasius neglectus (d, – Crimea, e, – Rostov-on-Don, f, – Tashkent). Trees: Ac – Acer sp., Ah – Aesculus hippocastanum, Aj – Albizia julibrissin, Al – Ailanthus altissima, An – Acer negundo, Cl – Cedrus libani, Co – Cydonia oblonga, Cs – Cupressus sempervirens, Ea – Elaeagnus angustifolia, Fe – Fraxinus excelsior, Fr – Fraxinus sp., Gl – Gleditsia triacanta, Jr – Juglans regia, M – Morus sp., Md – Malus domestica, Mn – Morus nigra, Pa – Prunus americana, Pb - Pinus brutia, Pc – Prunus cerasus, Pd – Prunus domestica, Pi – Pinus pallasiana, Pp – Populus niger, Po – Populus alba, Pr – Prunus cerasifera, Ps – Prunus spinosa, Py - Populus pyramidalis, Ra – Robinia pseudoacacia, Sa – Salix sp., Sj – Styphnolobium japonicum, Tl – Tilia sp., Ul – Ulmus sp., Us – Ulmus laevis.
Fig. 1 in Comparative analysis of the population structure of Crematogaster subdentata and Lasius neglectus in the primary and secondary ranges (Hymenoptera: Formicidae)
Fig. 1 – Distribution of Crematogaster subdentata and Lasius neglectus in Tashkent C. subdentata, polycalic colonies, C. subdentata, monocalic colonies, L. neglectus,> 20 nests per 100 m, L. neglectus, 10-20 nests per 100 m, L. neglectus, <10 nests per 100 m.
Fig. 2 in Comparative analysis of the population structure of Crematogaster subdentata and Lasius neglectus in the primary and secondary ranges (Hymenoptera: Formicidae)
Fig. 2 – Scheme of the foraging areas of Lasius neglectus in Rostov-on-Don species; trees: Pc – Prunus cerasus, Ps – Prunus spinosa, Ul – Ulmus sp.
Fig. 4 in Comparative analysis of the population structure of Crematogaster subdentata and Lasius neglectus in the primary and secondary ranges (Hymenoptera: Formicidae)
Fig. 4 – Scheme of the foraging areas of Crematogaster subdentata in Crimea (A) and Tashkent (B) large accessible nests of C. subdentata in buildings and outside; inaccessible nests of C. subdentata in buildings; trees: Co – Cydonia oblonga, Jr – Juglans regia, M – Morus sp., Md – Malus domestica, Mn – Morus nigra, Pa – Prunus americana, Pd – Prunus domestica.
Comparative ecological analysis and predictive modeling of tick-borne pathogens
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Comparative analysis of helminth infectivity: growth in intermediate hosts increases establishment rates in the next host
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Comparative genomic analysis identifies potential adaptive variation in Mycoplasma ovipneumoniae
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Data from: Comparative analysis of environmental DNA metabarcoding and spectro-fluorescence for phytoplankton community assessments
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Comparative analysis of a geometric and an adhesive righting strategy against toppling in inclined hexapedal locomotion
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Supplementary datasets, data analysis code, and R tutorials for: Phylogenetic analysis of adaptation in comparative physiology and biomechanics: overview and a case study of thermal physiology in treefrogs
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A comparative analysis testing Werner's theory of complex life cycles
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Comparative analysis of gut microbiome of mangrove brachyuran crabs revealed patterns of phylosymbiosis and codiversification
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Dataset to ACM MMSys'20 paper entitled "Comparing Fixed and Variable Segment Durations for Adaptive Video Streaming – A Holistic Analysis"
<p>Dataset for the ACM MMSys'20 paper entitled "Comparing Fixed and Variable Segment Durations for Adaptive<br> Video Streaming – A Holistic Analysis".<br> The dataset includes</p> <ul> <li>Results from video encoding (using variable and fixed segment durations)</li> <li>Video sequences used for streaming evaluations</li> </ul>
Figure 1 from "Comparative analysis of squamate brains unveils multi-level variation in cerebellar architecture associated with locomotor specialization"
<p> </p> <p>Published as part of <a href="https://doi.org/10.1038/s41467-019-13405-w"><strong>Macrì, S <em>et al</em>., 2019, Nature Communications: 10(1):5560</strong></a></p> <p><strong>"Comparative analysis of squamate brains unveils multi-level variation in cerebellar architecture associated with locomotor specialization"</strong> DOI: https://doi.org/10.1038/s41467-019-13405-w</p> <p> </p> <p><strong>Fig. 1</strong> <strong>Phylogeny and cerebellar diversity of squamates.</strong> <strong>a</strong> Phylogenetic tree of all snake and lizard species used in morphological and volumetric analyses, adapted from the most inclusive phylogenetic study available for extant squamates. The seven major locomotor modes for snakes (coloured squares) and/or lizards (coloured circles), as defined based on anatomical features, habitat use, and movement type, are indicated by the same colour code throughout the entire manuscript (see bottom left corner): limbless or limb-reduced burrower (red squares and circles); limbless or limb-reduced facultative burrower (purple squares and circles); limbless or limb-reduced multi-habitat using lateral undulation (orange squares and circles); limbless or limb-reduced multi-habitat using other movements (yellow squares); quadrupedal arboreal (dark blue circles); quadrupedal terrestrial (light blue circles); quadrupedal facultative bipedal/aerial (green circles). <strong>b</strong>–<strong>o</strong> 3D-volume rendering and high-resolution whole-brain segmentation of iodine-stained adult heads (<strong>b</strong>–<strong>h</strong>) highlighting the cerebellum structure (<strong>b</strong>–<strong>o</strong>, red colour) of selected representative squamates at indicated position in the phylogenetic tree: <em>Pantherophis guttatus</em> (<strong>b</strong>, <strong>i</strong>), <em>Epicrates cenchria</em> (<strong>c</strong>, <strong>j</strong>), <em>Pogona vitticeps</em> (<strong>d</strong>, <strong>k</strong>), <em>Draco volans</em> (<strong>e</strong>,<strong> l</strong>), <em>Bradypodion pumilum</em> (<strong>f</strong>, <strong>m</strong>), <em>Anguis fragilis</em> (<strong>g</strong>, <strong>n</strong>), <em>Melanoseps loveridgei</em> (<strong>h</strong>, <strong>o</strong>). High magnifications of 3D-rendered cerebella (<strong>i</strong>–<strong>o</strong>) are shown in pial surface (left panels) and lateral (right panels) views for each selected species. Scale bars: 1mm (<strong>b</strong>–<strong>h</strong>), 500 μm (<strong>i</strong>–<strong>o</strong>).</p>
Figure 8 from "Comparative analysis of squamate brains unveils multi-level variation in cerebellar architecture associated with locomotor specialization"
<p> </p> <p>Published as part of <a href="https://doi.org/10.1038/s41467-019-13405-w"><strong>Macrì, S <em>et al</em>., 2019, Nature Communications: 10(1):5560</strong></a></p> <p><strong>"Comparative analysis of squamate brains unveils multi-level variation in cerebellar architecture associated with locomotor specialization"</strong> DOI: https://doi.org/10.1038/s41467-019-13405-w</p> <p> </p> <p><strong>Fig. 8 Comparative transcriptomics of the squamate cerebellum.</strong> <strong>a</strong> Two-way hierarchical clustering heat map showing three clusters of genes (rows) that behave similarly (clusters 1 and 2) or differently (cluster 3) across ten selected squamate species (columns). Z-score colour intensities reflect scaled gene expression values, ranging from low (blue) to high (yellow), for 630 one-to-one orthologous genes identified in all species. <strong>b</strong> Pie charts showing the distribution of orthologous genes (in %) among all significantly enriched gene ontology terms for biological processes (hypergeometric test with a false discovery rate multiple-hypothesis correction, p-value < 0.01) in clusters identified in <strong>a</strong>. c Hierarchical clustering of pairwise Pearson’s correlation coefficients for 630 orthologous genes identified across all squamate species. Colour intensities of individual tiles in the heat map depict pairwise correlation coefficient values, ranging from low (blue) to high (yellow), between selected species with indicated locomotor mode (see colour code and symbols on the right). Numbers at nodes in the cluster dendrogram represent approximately unbiased p-values (in percentage) obtained by multiscale bootstrap resampling.</p> <p> </p> <p> </p> <p> </p>
Figure 7 from "Comparative analysis of squamate brains unveils multi-level variation in cerebellar architecture associated with locomotor specialization"
<p> </p> <p>Published as part of <a href="https://doi.org/10.1038/s41467-019-13405-w"><strong>Macrì, S <em>et al</em>., 2019, Nature Communications: 10(1):5560</strong></a></p> <p><strong>"Comparative analysis of squamate brains unveils multi-level variation in cerebellar architecture associated with locomotor specialization"</strong> DOI: https://doi.org/10.1038/s41467-019-13405-w</p> <p> </p> <p><strong>Fig. 7</strong> <strong>Variability in the arrangement of Purkinje cells (PCs) in the squamate cerebellum.</strong> <strong>a</strong>, <strong>b</strong> Representative light-sheet microscopy imaging of cleared whole-cerebella showing the 3D distribution and arrangement of calbindin 1 (CALB1)-immunolabelled PCs in two representative species with different locomotor modes (see colour code and symbols in top left corner): <em>Pogona vitticeps </em>(<strong>a</strong>) and <em>Boaedon fuliginosus</em> (<strong>b</strong>). The boxed areas in the coronal 3Drendered cerebellar views (top panels) are shown at higher magnifications in coronal (left) and sagittal (right) views in the lower panels. <strong>c</strong>, Violin plot showing the quantitative distribution of CALB1-immunolabelled PCs in the cerebellar cortex of selected squamate species with similar or different locomotor modes (colour code and symbols as above). Due to intra- and interspecies heterogeneity in molecular layer (ML) thickness, the position of individual cells (n = 250–750 per species) was calculated as the distance (in %) from the granule cell layer (GCL) to the outer border (pial surface) of the ML, and error bars represent the standard deviation. Four major positioning patterns containing three or four squamate species and reflecting the increased scattering of PCs (from I to IV) were identified based on Kruskal-Wallis statistics. Immunohistochemistry with CALB1 marker (red staining) on sagittal sections of the cerebellar cortex in selected representative species are shown at low and high magnifications (insets) for each pattern: <em>Pogona vitticeps</em> (I), <em>Eryx colubrinus</em> (II), <em>Pseudopus apodus</em> (III), <em>Dasypeltis gansi</em> (IV). Scale bars: 30 μm (<strong>a</strong>, <strong>b</strong>), 100 μm (<strong>c</strong>).</p> <p> </p> <p> </p>
Figure 6 from "Comparative analysis of squamate brains unveils multi-level variation in cerebellar architecture associated with locomotor specialization"
<p> </p> <p>Published as part of <a href="https://doi.org/10.1038/s41467-019-13405-w"><strong>Macrì, S <em>et al</em>., 2019, Nature Communications: 10(1):5560</strong></a></p> <p><strong>"Comparative analysis of squamate brains unveils multi-level variation in cerebellar architecture associated with locomotor specialization"</strong> DOI: https://doi.org/10.1038/s41467-019-13405-w</p> <p> </p> <p><strong>Fig. 6 Cerebellar size variation in squamates with different locomotor behaviours.</strong> <strong>a</strong> Scatter plot showing the correlation of cerebellum relative to wholebrain volume (in mm3) for selected representative squamate species (see colour code and symbols in bottom right corner). The coloured lines and shadings represent the phylogenetic generalized least squares (PGLS) regression lines and 95% confidence intervals for each locomotor mode, respectively. <strong>b</strong> Ridgeline plot showing the distribution of the cerebellum-to-whole-brain volume ratios (in percentage) for each indicated limbless or limbreduced (top panels) or quadrupedal (bottom) locomotor mode. Colour gradient, ranging from yellow to blue, reflects the tail distribution probability.</p>
Supplementary Figure 1 from "Comparative analysis of squamate brains unveils multi-level variation in cerebellar architecture associated with locomotor specialization"
<p> </p> <p>Published as part of <a href="https://doi.org/10.1038/s41467-019-13405-w"><strong>Macrì, S <em>et al</em>., 2019, Nature Communications: 10(1):5560</strong></a></p> <p><strong>"Comparative analysis of squamate brains unveils multi-level variation in cerebellar architecture associated with locomotor specialization"</strong> DOI: https://doi.org/10.1038/s41467-019-13405-w</p> <p> </p> <p><strong>Supplementary Fig. 1:</strong> <strong>Definition of 3D anatomical landmarks.</strong> <strong>a</strong>, Position of 3D anatomical landmarks on the whole brain of the lizard <em>Agama agama</em> in dorsal (top left panel), ventral (top right), and lateral (bottom) views. <strong>b</strong>, Position of 3D anatomical landmarks on the isolated cerebellum of <em>Agama agama</em> in pial surface (left panel) and lateral (right) views. <strong>c</strong>, Schematic representation of the whole-brain of <em>Agama agama</em> highlighting the five major regions used for landmarking. <strong>d</strong>, Table showing the definition of 3D anatomical landmarks with associated number (see <strong>a</strong>, <strong>b</strong>) and brain region (see <strong>c</strong>).</p>
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.